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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Oral Cnm<italic>-</italic>
positive <italic>Streptococcus Mutans</italic>
Expressing Collagen Binding Activity is a Risk Factor for Cerebral Microbleeds and Cognitive Impairment</title>
<author><name sortKey="Watanabe, Isao" sort="Watanabe, Isao" uniqKey="Watanabe I" first="Isao" last="Watanabe">Isao Watanabe</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Kuriyama, Nagato" sort="Kuriyama, Nagato" uniqKey="Kuriyama N" first="Nagato" last="Kuriyama">Nagato Kuriyama</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a3"><institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Miyatani, Fumitaro" sort="Miyatani, Fumitaro" uniqKey="Miyatani F" first="Fumitaro" last="Miyatani">Fumitaro Miyatani</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nomura, Ryota" sort="Nomura, Ryota" uniqKey="Nomura R" first="Ryota" last="Nomura">Ryota Nomura</name>
<affiliation><nlm:aff id="a4"><institution>Department of Pediatric Dentistry, Osaka University Graduate School of Dentistry</institution>
, Osaka, 5650871,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Naka, Shuhei" sort="Naka, Shuhei" uniqKey="Naka S" first="Shuhei" last="Naka">Shuhei Naka</name>
<affiliation><nlm:aff id="a4"><institution>Department of Pediatric Dentistry, Osaka University Graduate School of Dentistry</institution>
, Osaka, 5650871,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nakano, Kazuhiko" sort="Nakano, Kazuhiko" uniqKey="Nakano K" first="Kazuhiko" last="Nakano">Kazuhiko Nakano</name>
<affiliation><nlm:aff id="a4"><institution>Department of Pediatric Dentistry, Osaka University Graduate School of Dentistry</institution>
, Osaka, 5650871,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ihara, Masafumi" sort="Ihara, Masafumi" uniqKey="Ihara M" first="Masafumi" last="Ihara">Masafumi Ihara</name>
<affiliation><nlm:aff id="a5"><institution>Department of Stroke and Cerebrovascular Diseases, National Cerebral and Cardiovascular Center</institution>
, Osaka, 5658565,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Iwai, Komei" sort="Iwai, Komei" uniqKey="Iwai K" first="Komei" last="Iwai">Komei Iwai</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Matsui, Daisuke" sort="Matsui, Daisuke" uniqKey="Matsui D" first="Daisuke" last="Matsui">Daisuke Matsui</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ozaki, Etsuko" sort="Ozaki, Etsuko" uniqKey="Ozaki E" first="Etsuko" last="Ozaki">Etsuko Ozaki</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Koyama, Teruhide" sort="Koyama, Teruhide" uniqKey="Koyama T" first="Teruhide" last="Koyama">Teruhide Koyama</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nishigaki, Masaru" sort="Nishigaki, Masaru" uniqKey="Nishigaki M" first="Masaru" last="Nishigaki">Masaru Nishigaki</name>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Yamamoto, Toshiro" sort="Yamamoto, Toshiro" uniqKey="Yamamoto T" first="Toshiro" last="Yamamoto">Toshiro Yamamoto</name>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Tamura, Aiko" sort="Tamura, Aiko" uniqKey="Tamura A" first="Aiko" last="Tamura">Aiko Tamura</name>
<affiliation><nlm:aff id="a3"><institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Mizuno, Toshiki" sort="Mizuno, Toshiki" uniqKey="Mizuno T" first="Toshiki" last="Mizuno">Toshiki Mizuno</name>
<affiliation><nlm:aff id="a3"><institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Akazawa, Kentaro" sort="Akazawa, Kentaro" uniqKey="Akazawa K" first="Kentaro" last="Akazawa">Kentaro Akazawa</name>
<affiliation><nlm:aff id="a6"><institution>Department of Radiology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Takada, Akihiro" sort="Takada, Akihiro" uniqKey="Takada A" first="Akihiro" last="Takada">Akihiro Takada</name>
<affiliation><nlm:aff id="a7"><institution>Kyoto Industrial Health Association</institution>
, Kyoto, 6048472,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Takeda, Kazuo" sort="Takeda, Kazuo" uniqKey="Takeda K" first="Kazuo" last="Takeda">Kazuo Takeda</name>
<affiliation><nlm:aff id="a7"><institution>Kyoto Industrial Health Association</institution>
, Kyoto, 6048472,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Yamada, Kei" sort="Yamada, Kei" uniqKey="Yamada K" first="Kei" last="Yamada">Kei Yamada</name>
<affiliation><nlm:aff id="a6"><institution>Department of Radiology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nakagawa, Masanori" sort="Nakagawa, Masanori" uniqKey="Nakagawa M" first="Masanori" last="Nakagawa">Masanori Nakagawa</name>
<affiliation><nlm:aff id="a3"><institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a8"><institution>North Medical Center, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6292261,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Tanaka, Tokutaro" sort="Tanaka, Tokutaro" uniqKey="Tanaka T" first="Tokutaro" last="Tanaka">Tokutaro Tanaka</name>
<affiliation><nlm:aff id="a9"><institution>Department of Neurosurgery, Seirei Hamamatsu General Hospital</institution>
, Shizuoka, 4308558,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Kanamura, Narisato" sort="Kanamura, Narisato" uniqKey="Kanamura N" first="Narisato" last="Kanamura">Narisato Kanamura</name>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Friedland, Robert P" sort="Friedland, Robert P" uniqKey="Friedland R" first="Robert P." last="Friedland">Robert P. Friedland</name>
<affiliation><nlm:aff id="a10"><institution>Department of Neurology, University of Louisville</institution>
, KY, 40202,<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Watanabe, Yoshiyuki" sort="Watanabe, Yoshiyuki" uniqKey="Watanabe Y" first="Yoshiyuki" last="Watanabe">Yoshiyuki Watanabe</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">27934941</idno>
<idno type="pmc">5146923</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5146923</idno>
<idno type="RBID">PMC:5146923</idno>
<idno type="doi">10.1038/srep38561</idno>
<date when="2016">2016</date>
<idno type="wicri:Area/Pmc/Corpus">000839</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000839</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Oral Cnm<italic>-</italic>
positive <italic>Streptococcus Mutans</italic>
Expressing Collagen Binding Activity is a Risk Factor for Cerebral Microbleeds and Cognitive Impairment</title>
<author><name sortKey="Watanabe, Isao" sort="Watanabe, Isao" uniqKey="Watanabe I" first="Isao" last="Watanabe">Isao Watanabe</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Kuriyama, Nagato" sort="Kuriyama, Nagato" uniqKey="Kuriyama N" first="Nagato" last="Kuriyama">Nagato Kuriyama</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a3"><institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Miyatani, Fumitaro" sort="Miyatani, Fumitaro" uniqKey="Miyatani F" first="Fumitaro" last="Miyatani">Fumitaro Miyatani</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nomura, Ryota" sort="Nomura, Ryota" uniqKey="Nomura R" first="Ryota" last="Nomura">Ryota Nomura</name>
<affiliation><nlm:aff id="a4"><institution>Department of Pediatric Dentistry, Osaka University Graduate School of Dentistry</institution>
, Osaka, 5650871,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Naka, Shuhei" sort="Naka, Shuhei" uniqKey="Naka S" first="Shuhei" last="Naka">Shuhei Naka</name>
<affiliation><nlm:aff id="a4"><institution>Department of Pediatric Dentistry, Osaka University Graduate School of Dentistry</institution>
, Osaka, 5650871,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nakano, Kazuhiko" sort="Nakano, Kazuhiko" uniqKey="Nakano K" first="Kazuhiko" last="Nakano">Kazuhiko Nakano</name>
<affiliation><nlm:aff id="a4"><institution>Department of Pediatric Dentistry, Osaka University Graduate School of Dentistry</institution>
, Osaka, 5650871,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ihara, Masafumi" sort="Ihara, Masafumi" uniqKey="Ihara M" first="Masafumi" last="Ihara">Masafumi Ihara</name>
<affiliation><nlm:aff id="a5"><institution>Department of Stroke and Cerebrovascular Diseases, National Cerebral and Cardiovascular Center</institution>
, Osaka, 5658565,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Iwai, Komei" sort="Iwai, Komei" uniqKey="Iwai K" first="Komei" last="Iwai">Komei Iwai</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Matsui, Daisuke" sort="Matsui, Daisuke" uniqKey="Matsui D" first="Daisuke" last="Matsui">Daisuke Matsui</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ozaki, Etsuko" sort="Ozaki, Etsuko" uniqKey="Ozaki E" first="Etsuko" last="Ozaki">Etsuko Ozaki</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Koyama, Teruhide" sort="Koyama, Teruhide" uniqKey="Koyama T" first="Teruhide" last="Koyama">Teruhide Koyama</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nishigaki, Masaru" sort="Nishigaki, Masaru" uniqKey="Nishigaki M" first="Masaru" last="Nishigaki">Masaru Nishigaki</name>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Yamamoto, Toshiro" sort="Yamamoto, Toshiro" uniqKey="Yamamoto T" first="Toshiro" last="Yamamoto">Toshiro Yamamoto</name>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Tamura, Aiko" sort="Tamura, Aiko" uniqKey="Tamura A" first="Aiko" last="Tamura">Aiko Tamura</name>
<affiliation><nlm:aff id="a3"><institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Mizuno, Toshiki" sort="Mizuno, Toshiki" uniqKey="Mizuno T" first="Toshiki" last="Mizuno">Toshiki Mizuno</name>
<affiliation><nlm:aff id="a3"><institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Akazawa, Kentaro" sort="Akazawa, Kentaro" uniqKey="Akazawa K" first="Kentaro" last="Akazawa">Kentaro Akazawa</name>
<affiliation><nlm:aff id="a6"><institution>Department of Radiology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Takada, Akihiro" sort="Takada, Akihiro" uniqKey="Takada A" first="Akihiro" last="Takada">Akihiro Takada</name>
<affiliation><nlm:aff id="a7"><institution>Kyoto Industrial Health Association</institution>
, Kyoto, 6048472,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Takeda, Kazuo" sort="Takeda, Kazuo" uniqKey="Takeda K" first="Kazuo" last="Takeda">Kazuo Takeda</name>
<affiliation><nlm:aff id="a7"><institution>Kyoto Industrial Health Association</institution>
, Kyoto, 6048472,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Yamada, Kei" sort="Yamada, Kei" uniqKey="Yamada K" first="Kei" last="Yamada">Kei Yamada</name>
<affiliation><nlm:aff id="a6"><institution>Department of Radiology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nakagawa, Masanori" sort="Nakagawa, Masanori" uniqKey="Nakagawa M" first="Masanori" last="Nakagawa">Masanori Nakagawa</name>
<affiliation><nlm:aff id="a3"><institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a8"><institution>North Medical Center, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6292261,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Tanaka, Tokutaro" sort="Tanaka, Tokutaro" uniqKey="Tanaka T" first="Tokutaro" last="Tanaka">Tokutaro Tanaka</name>
<affiliation><nlm:aff id="a9"><institution>Department of Neurosurgery, Seirei Hamamatsu General Hospital</institution>
, Shizuoka, 4308558,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Kanamura, Narisato" sort="Kanamura, Narisato" uniqKey="Kanamura N" first="Narisato" last="Kanamura">Narisato Kanamura</name>
<affiliation><nlm:aff id="a2"><institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Friedland, Robert P" sort="Friedland, Robert P" uniqKey="Friedland R" first="Robert P." last="Friedland">Robert P. Friedland</name>
<affiliation><nlm:aff id="a10"><institution>Department of Neurology, University of Louisville</institution>
, KY, 40202,<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Watanabe, Yoshiyuki" sort="Watanabe, Yoshiyuki" uniqKey="Watanabe Y" first="Yoshiyuki" last="Watanabe">Yoshiyuki Watanabe</name>
<affiliation><nlm:aff id="a1"><institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">Scientific Reports</title>
<idno type="eISSN">2045-2322</idno>
<imprint><date when="2016">2016</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p>Cerebral microbleeds (CMBs) are an important risk factor for stroke and dementia. We have shown that the collagen binding surface Cnm protein expressed on <italic>cnm</italic>
-positive <italic>Streptococcus mutans</italic>
is involved in the development of CMBs. However, whether the collagen binding activity of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
is related to the nature of the CMBs or to cognitive impairment is unclear. Two-hundred seventy nine community residents (70.0 years) were examined for the presence or absence of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
in the saliva by PCR and collagen binding activity, CMBs, and cognitive function were evaluated. Cnm-positive <italic>S. mutans</italic>
was detected more often among subjects with CMBs (p < 0.01) than those without. The risk of CMBs was significantly higher (odds ratio = 14.3) in the group with <italic>S. mutans</italic>
expressing collagen binding activity, as compared to the group without that finding. Deep CMBs were more frequent (67%) and cognitive function was lower among subjects with <italic>cnm</italic>
-positive <italic>S. mutans</italic>
expressing collagen binding activity. This work supports the role of oral health in stroke and dementia and proposes a molecular mechanism for the interaction.</p>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Kobayashi, N" uniqKey="Kobayashi N">N. Kobayashi</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wu, B" uniqKey="Wu B">B. Wu</name>
</author>
<author><name sortKey="Fillenbaum, G G" uniqKey="Fillenbaum G">G. G. Fillenbaum</name>
</author>
<author><name sortKey="Plassman, B L" uniqKey="Plassman B">B. L. Plassman</name>
</author>
<author><name sortKey="Guo, L" uniqKey="Guo L">L. Guo</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Kaye, E K" uniqKey="Kaye E">E. K. Kaye</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wang, D N" uniqKey="Wang D">D. N. Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lee, S H" uniqKey="Lee S">S. H. Lee</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Cordonnier, C" uniqKey="Cordonnier C">C. Cordonnier</name>
</author>
<author><name sortKey="Al Shahi Salman, R" uniqKey="Al Shahi Salman R">R. Al-Shahi Salman</name>
</author>
<author><name sortKey="Wardlaw, J" uniqKey="Wardlaw J">J. Wardlaw</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Bokura, H" uniqKey="Bokura H">H. Bokura</name>
</author>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Sci Rep</journal-id>
<journal-id journal-id-type="iso-abbrev">Sci Rep</journal-id>
<journal-title-group><journal-title>Scientific Reports</journal-title>
</journal-title-group>
<issn pub-type="epub">2045-2322</issn>
<publisher><publisher-name>Nature Publishing Group</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">27934941</article-id>
<article-id pub-id-type="pmc">5146923</article-id>
<article-id pub-id-type="pii">srep38561</article-id>
<article-id pub-id-type="doi">10.1038/srep38561</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Oral Cnm<italic>-</italic>
positive <italic>Streptococcus Mutans</italic>
Expressing Collagen Binding Activity is a Risk Factor for Cerebral Microbleeds and Cognitive Impairment</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Watanabe</surname>
<given-names>Isao</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a2">2</xref>
<xref ref-type="author-notes" rid="n1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kuriyama</surname>
<given-names>Nagato</given-names>
</name>
<xref ref-type="corresp" rid="c1">a</xref>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a3">3</xref>
<xref ref-type="author-notes" rid="n1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Miyatani</surname>
<given-names>Fumitaro</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Nomura</surname>
<given-names>Ryota</given-names>
</name>
<xref ref-type="aff" rid="a4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Naka</surname>
<given-names>Shuhei</given-names>
</name>
<xref ref-type="aff" rid="a4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Nakano</surname>
<given-names>Kazuhiko</given-names>
</name>
<xref ref-type="aff" rid="a4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Ihara</surname>
<given-names>Masafumi</given-names>
</name>
<xref ref-type="aff" rid="a5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Iwai</surname>
<given-names>Komei</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Matsui</surname>
<given-names>Daisuke</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Ozaki</surname>
<given-names>Etsuko</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Koyama</surname>
<given-names>Teruhide</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Nishigaki</surname>
<given-names>Masaru</given-names>
</name>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Yamamoto</surname>
<given-names>Toshiro</given-names>
</name>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Tamura</surname>
<given-names>Aiko</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Mizuno</surname>
<given-names>Toshiki</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Akazawa</surname>
<given-names>Kentaro</given-names>
</name>
<xref ref-type="aff" rid="a6">6</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Takada</surname>
<given-names>Akihiro</given-names>
</name>
<xref ref-type="aff" rid="a7">7</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Takeda</surname>
<given-names>Kazuo</given-names>
</name>
<xref ref-type="aff" rid="a7">7</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Yamada</surname>
<given-names>Kei</given-names>
</name>
<xref ref-type="aff" rid="a6">6</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Nakagawa</surname>
<given-names>Masanori</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
<xref ref-type="aff" rid="a8">8</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Tanaka</surname>
<given-names>Tokutaro</given-names>
</name>
<xref ref-type="aff" rid="a9">9</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kanamura</surname>
<given-names>Narisato</given-names>
</name>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Friedland</surname>
<given-names>Robert P.</given-names>
</name>
<xref ref-type="aff" rid="a10">10</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Watanabe</surname>
<given-names>Yoshiyuki</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
</contrib>
<aff id="a1"><label>1</label>
<institution>Department of Epidemiology for Community health and Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</aff>
<aff id="a2"><label>2</label>
<institution>Department of Dental Medicine, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</aff>
<aff id="a3"><label>3</label>
<institution>Department of Neurology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</aff>
<aff id="a4"><label>4</label>
<institution>Department of Pediatric Dentistry, Osaka University Graduate School of Dentistry</institution>
, Osaka, 5650871,<country>Japan</country>
</aff>
<aff id="a5"><label>5</label>
<institution>Department of Stroke and Cerebrovascular Diseases, National Cerebral and Cardiovascular Center</institution>
, Osaka, 5658565,<country>Japan</country>
</aff>
<aff id="a6"><label>6</label>
<institution>Department of Radiology, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6028566,<country>Japan</country>
</aff>
<aff id="a7"><label>7</label>
<institution>Kyoto Industrial Health Association</institution>
, Kyoto, 6048472,<country>Japan</country>
</aff>
<aff id="a8"><label>8</label>
<institution>North Medical Center, Kyoto Prefectural University of Medicine</institution>
, Kyoto, 6292261,<country>Japan</country>
</aff>
<aff id="a9"><label>9</label>
<institution>Department of Neurosurgery, Seirei Hamamatsu General Hospital</institution>
, Shizuoka, 4308558,<country>Japan</country>
</aff>
<aff id="a10"><label>10</label>
<institution>Department of Neurology, University of Louisville</institution>
, KY, 40202,<country>USA</country>
</aff>
</contrib-group>
<author-notes><corresp id="c1"><label>a</label>
<email>nkuriyam@koto.kpu-m.ac.jp</email>
</corresp>
<fn id="n1"><label>*</label>
<p>These authors contributed equally to this work.</p>
</fn>
</author-notes>
<pub-date pub-type="epub"><day>09</day>
<month>12</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection"><year>2016</year>
</pub-date>
<volume>6</volume>
<elocation-id>38561</elocation-id>
<history><date date-type="received"><day>17</day>
<month>08</month>
<year>2016</year>
</date>
<date date-type="accepted"><day>10</day>
<month>11</month>
<year>2016</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2016, The Author(s)</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>The Author(s)</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/"><pmc-comment>author-paid</pmc-comment>
<license-p>This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
</license-p>
</license>
</permissions>
<abstract><p>Cerebral microbleeds (CMBs) are an important risk factor for stroke and dementia. We have shown that the collagen binding surface Cnm protein expressed on <italic>cnm</italic>
-positive <italic>Streptococcus mutans</italic>
is involved in the development of CMBs. However, whether the collagen binding activity of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
is related to the nature of the CMBs or to cognitive impairment is unclear. Two-hundred seventy nine community residents (70.0 years) were examined for the presence or absence of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
in the saliva by PCR and collagen binding activity, CMBs, and cognitive function were evaluated. Cnm-positive <italic>S. mutans</italic>
was detected more often among subjects with CMBs (p < 0.01) than those without. The risk of CMBs was significantly higher (odds ratio = 14.3) in the group with <italic>S. mutans</italic>
expressing collagen binding activity, as compared to the group without that finding. Deep CMBs were more frequent (67%) and cognitive function was lower among subjects with <italic>cnm</italic>
-positive <italic>S. mutans</italic>
expressing collagen binding activity. This work supports the role of oral health in stroke and dementia and proposes a molecular mechanism for the interaction.</p>
</abstract>
</article-meta>
</front>
<body><p>Oral factors, such as periodontal disease, reduced number of remaining teeth, and systemic bacterial infection spreading from the oral cavity, have recently been reported to increase the risk of dementing disorders<xref ref-type="bibr" rid="b1">1</xref>
<xref ref-type="bibr" rid="b2">2</xref>
<xref ref-type="bibr" rid="b3">3</xref>
. The sensitivity for the detection of asymptomatic cerebral microbleeds (CMBs), which are an early stage of cerebral hemorrhage<xref ref-type="bibr" rid="b4">4</xref>
<xref ref-type="bibr" rid="b5">5</xref>
has been enhanced by susceptibility-weighted imaging (SWI), a new MRI brain imaging technique. Cerebral microbleeds are attracting attention as an important predictive marker of stroke<xref ref-type="bibr" rid="b6">6</xref>
<xref ref-type="bibr" rid="b7">7</xref>
<xref ref-type="bibr" rid="b8">8</xref>
. They are also known to be an independent factor for vascular cognitive impairment, and effects of CMBs have been reported to vary with the affected site<xref ref-type="bibr" rid="b9">9</xref>
. However, the clinical significance of CMBs and the mechanisms of their production has not been clarified.</p>
<p>Recently, Nakano <italic>et al</italic>
. have reported that intracerebral hemorrhage occurred more frequently in mice exposed to <italic>Streptococcus mutans</italic>
, a major member of oral streptococci related to dental caries, with the <italic>cnm</italic>
gene (<italic>cnm</italic>
-positive <italic>S. mutans</italic>
) than to mice exposed to the same organism lacking the gene, and suggested that exposure to <italic>cnm</italic>
-positive <italic>S. mutans</italic>
is a novel risk factor for cerebral hemorrhage in humans<xref ref-type="bibr" rid="b10">10</xref>
. This exposure may be a new risk factor for cerebral vascular injury<xref ref-type="bibr" rid="b11">11</xref>
. The collagen binding protein expressed on the surface of <italic>S. mutans</italic>
is called the Cnm protein, and has affinity to bind to collagen, a component of dentin, and to the collagen layer of the vascular endothelium, as well as to fibrinogen<xref ref-type="bibr" rid="b10">10</xref>
<xref ref-type="bibr" rid="b12">12</xref>
. <italic>Cnm</italic>
-positive <italic>S. mutans</italic>
has been reported to induce cerebral hemorrhage by binding to damaged sites on the vascular endothelium, and increasing the expression of the zinc-metalloproteinase matrix metalloproteinase-9 (MMP-9) which degrades the extracellular matrix<xref ref-type="bibr" rid="b10">10</xref>
. Also, our previous study in humans showed that the collagen binding activity of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
is an independent risk factor for the occurrence of CMBs and intracerebral hemorrhage<xref ref-type="bibr" rid="b13">13</xref>
<xref ref-type="bibr" rid="b14">14</xref>
.</p>
<p>We evaluated whether <italic>S. mutans</italic>
expressing Cnm protein with collagen binding activity is related to the location of CMBs, and how Cnm related CMBs are related to cognitive decline. We also evaluated the influence of apolipoprotein E genotype and oral health on CMB development and Cnm expressing <italic>S. mutans</italic>
exposure.</p>
<sec disp-level="1"><title>Materials and Methods</title>
<sec disp-level="2"><title>Study Subjects and Period</title>
<p>In our original report, we included 139 subjects and found a direct relationship between Cnm-positive <italic>S. mutans</italic>
and the existence of microbleeds<xref ref-type="bibr" rid="b13">13</xref>
. We now present a larger study<xref ref-type="bibr" rid="b15">15</xref>
evaluate the association amongst Cnm-positive <italic>S. mutans</italic>
, microbleeds and cognitive decline. Among the 469 subjects (including the first 139 subjects), 290 participants (195 males and 95 females; 70.0 ± 6.1 years of age) gave us consent for this study and underwent medical check-ups with brain MRI examinations and cognitive functional examination between 2012 and 2014. Of these subjects, 5 did not complete the questionnaire, 2 did not undergo brain MRI, and 4 were edentulous or had xerostoma and were excluded. As a result, 279 subjects (189 males and 90 females) were registered for this study.</p>
<p>This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and was approved by the Ethical Review Board of the Kyoto Prefectural University of Medicine (approval number: G-144) and all participants provided signed informed consent.</p>
</sec>
<sec disp-level="2"><title>Investigation items concerning lifestyle and body measurement (clinical check-up)</title>
<p>Lifestyle habits were evaluated using a self-administered questionnaire checked by trained members of the study staff. This questionnaire consisted of items concerning medical past history, drug compliance, alcohol intake, smoking status and educational background. Hypertension was defined as having a history of hypertension and/or a systolic pressure ≥140 mmHg and/or a diastolic pressure ≥90 mmHg. Hyperlipidemia was defined as having a history of hyperlipidemia and/or showing a triglyceride ≥150 mg/dl, an HDL < 40 mg/dl and/or an LDL ≥140 mg/dl. Diabetes mellitus was defined as showing an HbA1c ≥6.5% and/or use of anti-diabetic medication. It was determined which subjects had a history of stroke/cardiovascular disease or had received treatments for those conditions. Those who were currently drinking alcohol every day were designated as the alcohol drinking group. Those who were smoking every day were designated as the smoking group. The subjects were also divided into 2 groups according to the number of years of schooling (≤12 years and >12 years). Four subjects did not answer the question concerning education. Systemic atherosclerosis was evaluated by measuring brachial-to-ankle pulse wave velocity (baPWV) (form PWV/ABI; Omron Healthcare Co., Ltd., Kyoto, Japan)<xref ref-type="bibr" rid="b16">16</xref>
<xref ref-type="bibr" rid="b17">17</xref>
.</p>
</sec>
<sec disp-level="2"><title>Dental evaluations</title>
<p>We collected information concerning the number of remaining teeth, presence/absence of dental caries, and community periodontal index (CPI)<xref ref-type="bibr" rid="b18">18</xref>
<xref ref-type="bibr" rid="b19">19</xref>
by oral examination, which was performed by a single dentist (FM). Dental caries (+) was defined as having at least 1 tooth with dental caries. Concerning the CPI, the oral cavity of each participant was divided into 6 areas, and the pocket depth was measured in the tooth specified in each area by probing using a WHO periodontal probe. CPI were graded according to following categories; (0) no sign of disease, (1) gingival bleeding after gentle probing, (2) supra- or subgingival calculus, (3) pathologic pockets 4 or 5 mm deep, and (4) pathologic pockets ≥6 mm, and the maximum value of the 6 areas was regarded as the CPI of the subject<xref ref-type="bibr" rid="b19">19</xref>
. Based on the results, the subjects were divided into those with and without pathologic pockets (CPI ≥ code 3).</p>
</sec>
<sec disp-level="2"><title>Laboratory evaluations</title>
<p>Peripheral blood samples were obtained from all participants. We measured high-sensitivity C-reactive protein (hs-CRP) and apolipoprotein E (APOE) genotype in addition to basic hematological and biochemical assays. Serum hs-CRP concentrations were measured using an established commercially available manufacturer’s protocol by latex coagulation nephelometry as part of the health screening check-up (Kyoto Biken Laboratories, Inc., Kyoto, JAPAN). APOE genotyping was performed by polymerase chain reaction (PCR) (Funakoshi Co., Ltd., Tokyo, Japan). Of the 279 subjects, 272 (97%) consented to APOE genotyping. APOE genotype was classified into 2 groups, according to the presence or absence of the APOE ε4 allele.</p>
</sec>
<sec disp-level="2"><title>Isolation of <italic>S. mutans</italic>
strains and molecular biological detection of <italic>cnm</italic>
encoding Cnm protein</title>
<p>We sampled oral bacteria from all subjects from saliva and plaque around the teeth. Each oral salivary specimen was streaked on Mitis-Salivarius agar containing bacitracin (MSB), a selective medium for mutans streptococcal species, and bacterial colonies were picked up. Bacterial DNA was extracted from the colonies in accordance with our previously reported methods and stored as DNA extracts<xref ref-type="bibr" rid="b13">13</xref>
<xref ref-type="bibr" rid="b20">20</xref>
. The DNA extracts were subjected to PCR for confirming <italic>S. mutans</italic>
using <italic>S. mutans</italic>
-specifics primers<xref ref-type="bibr" rid="b21">21</xref>
. Using <italic>cnm</italic>
-specific primers, the presence or absence of the <italic>cnm</italic>
gene in the <italic>S. mutans</italic>
isolates was determined. Details of these assay methods are described in <xref ref-type="supplementary-material" rid="S1">supplementary materials</xref>
.</p>
</sec>
<sec disp-level="2"><title>Measurement of the Cnm protein-binding activity of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
</title>
<p>We performed a collagen-binding assay to determine the collagen-binding activity of the <italic>cnm</italic>
-positive <italic>S. mutans</italic>
isolated from the subjects using methods previously reported<xref ref-type="bibr" rid="b13">13</xref>
<xref ref-type="bibr" rid="b20">20</xref>
. For analysis of Cnm protein-binding activity, standard strains (SA83 and SA137) with binding activity of 100% was prepared, and the binding activity of the sample was expressed as the rate relative to the activity of the standard sample. The Cnm protein-binding activity was judged to be positive when this rate was 10% or higher. Details of these assay methods are described in <xref ref-type="supplementary-material" rid="S1">supplementary materials</xref>
.</p>
</sec>
<sec disp-level="2"><title>Evaluation of brain MRI</title>
<p>Brain MRI was performed using a 1.5-T scanner (Achieva 1.T, Philips N.V., Best, the Netherlands). Images were evaluated by neurologists (NK, AT) and a radiologist (KA), who are board certified specialists. Transverse T1-weighted (repetition time [TR]: 611 ms, echo time [TE]: 13 ms) and T2-weighted (TR: 4431 ms, TE: 100 ms) images obtained at 5-mm slice thickness were evaluated.</p>
<p>Using FLAIR and T2-weighted imaging, leukoaraiosis was categorized according to the Fazekas scale by semi-quantitative evaluation of periventricular hyperintensity (PVH) and deep white mater hyperintensity (DWMH)<xref ref-type="bibr" rid="b22">22</xref>
. PVH was graded as (0) absence, (1) “caps” or pencil-thin linings, (2) halos, or (3) irregular PVH extending into deep white matter. In addition, DWMH was graded as (0) absence, (1) solitary, (2) the beginning aggregation of foci, or (3) large confluent areas of WMH<xref ref-type="bibr" rid="b15">15</xref>
<xref ref-type="bibr" rid="b23">23</xref>
.</p>
<p>CMBs were evaluated by susceptibility-weighted imaging (SWI) (3d-Tlffe 4 mmTHK/Gapless) of brain MRI. By SWI, CMBs can be detected because hemosiderin present in the foci of CMBs is visualized as punctate and round hypointense areas<xref ref-type="bibr" rid="b24">24</xref>
<xref ref-type="bibr" rid="b25">25</xref>
. A representative MRI of microbleeds based on the SWI image is shown in <xref ref-type="fig" rid="f1">Fig. 1</xref>
. As shown in the figure, microbleeds were assessed based on susceptibility-weighted imaging (SWI) of brain MRI. We classified CMBs into deep, lobar, and mixed types<xref ref-type="bibr" rid="b26">26</xref>
. This protocol is the same as that employed in our previous clinical MRI studies<xref ref-type="bibr" rid="b13">13</xref>
<xref ref-type="bibr" rid="b27">27</xref>
. The absence of a large cerebral hemorrhage, pathological brain atrophy, or other findings suggesting an infectious disease or neurodegenerative condition was established in all subjects. We carefully performed all the MR evaluations blinded to information about the Cnm-related data. The examiners (a radiologist and neurologist) discussed the findings to obtain a consensus in case of discordant MR evaluations. Because CMBs may be confused with other signals such as blood vessels or calcifications, we carefully evaluated whether or not the findings represent CMBs using axial and sagittal scanning. Along with the total-grading score on the Fazekas classification and CMBs, the intraclass correlation coefficient (ICC) was calculated as an index of inter-rater reliability; a high ICC of 0.92 and 0.93 were obtained for both DWMLs and PVH. Thus, the data obtained had a favorable inter-rater reliability, which suggested that this grading was sufficiently reliable to be used as an accurate grading tool.</p>
</sec>
<sec disp-level="2"><title>Cognitive function evaluations</title>
<p>We used the Mini-Mental State Examination (MMSE)<xref ref-type="bibr" rid="b28">28</xref>
and letter fluency tasks<xref ref-type="bibr" rid="b29">29</xref>
<xref ref-type="bibr" rid="b30">30</xref>
. Specifically, the subjects are instructed to orally recall as many words that start with a specified letter during a 1-minute period, and the words are counted. In this study, we counted Japanese words that start with “Ta” and “Ka”<xref ref-type="bibr" rid="b31">31</xref>
. These tests of cognitive function were performed on the same day as brain MRI, and the results were recorded by trained neurologists and neuropsychologists.</p>
</sec>
<sec disp-level="2"><title>Analytical methods</title>
<p>The results of each factor examined were compared between sexes and according to the presence or absence of CMBs, <italic>cnm</italic>
-positive <italic>S. mutans</italic>
, and collagen binding activity. These group-wise comparisons were performed using the t-test and χ<sup>2</sup>
-test. We also evaluated the risk of CMBs by multivariate analysis using sex, age, lifestyle, and the results of body measurement, oral examination, blood tests, and brain MRI as adjustment factors. These analyses were performed at the 0.05 level of significance using SPSS 19.0 J for Windows (SPSS Japan Inc., Tokyo, Japan).</p>
</sec>
</sec>
<sec disp-level="1"><title>Results</title>
<sec disp-level="2"><title>Characteristic of the subjects</title>
<p><xref ref-type="table" rid="t1">Table 1</xref>
shows the characteristics of the subjects. The mean age was 70.0 ± 6.1 years, BMI was 22.7 ± 3.0 kg/m<sup>2</sup>
, and MMSE score was 28.3 ± 2.1. Fifty-eight subjects (21%) were APOEε4 allele carriers. Concerning the dental check-up findings, the mean number of remaining teeth was 22.7 ± 7.5, 86 subjects (31%) had dental caries, and the CPI was ≥code 3 in 77 subjects (28%). Laboratory evaluations showed that <italic>S. mutans, cnm</italic>
-positive <italic>S. mutans</italic>
, and collagen binding activity were positive in 94%, 33%, and 25%, respectively, of the subjects. On brain MRI, CMBs were detected in 73 subjects (26%).</p>
<p>The age, BMI, frequency of subjects with a history of treatment for diabetes, frequency of those with drinking history, frequency of those with smoking history, number of years of schooling, frequency of those with dental caries, and MMSE score were significantly higher in males, and the frequency of those with <italic>S. mutans</italic>
was significantly higher in females.</p>
</sec>
<sec disp-level="2"><title>Background of CMBs (+) and cognitive function</title>
<p><xref ref-type="table" rid="t2">Table 2</xref>
compares the CMBs (+) (n = 73) and CMBs (−) (n = 206) groups. The CMBs (+) group showed a significantly higher BMI (<italic>p</italic>
< 0.05) and significantly higher frequencies of those with a CPI ≥ code 3 (<italic>p</italic>
< 0.05), <italic>cnm</italic>
-positive <italic>S. mutans</italic>
-isolated subjects (<italic>p</italic>
< 0.01), DWMH ≥ grade 2 (<italic>p</italic>
< 0.05) and collagen binding activity (+) subjects (<italic>p</italic>
< 0.01). However, no significant difference was observed between the two groups in regard to hypertension, hyperlipidemia, diabetes, oral antiplatelet therapy and PVH grade. We did not see any relationship between CMBs and hs-CRP.</p>
<p>The type of CMBs were deep in 44 (60%), lobar in 20 (27%) and mixed in 9 (12%). We also evaluated the laterality of CMBs but found no right-left differences. On cognitive function evaluations, the CMBs (+) group showed significantly lower MMSE score and lower “Ta” score of the letter fluency tasks (<italic>p</italic>
< 0.05 for both).</p>
<p><xref ref-type="table" rid="t3">Table 3</xref>
shows the results of logistic regression analysis concerning the occurrence of CMBs. Crude analysis demonstrated a CPI ≥ code 3 (OR = 1.83, 95% CI: 1.03–3.25, <italic>p</italic>
< 0.05) and collagen binding activity (+) (OR = 9.11, 95% CI: 4.94–16.8, <italic>p</italic>
< 0.01) as significant risk factors for the occurrence of CMBs. In Model 2, in which all associated factors were applied, only collagen binding activity ≥10% was correlated with the risk of CMBs (OR = 14.3, 95% CI: 6.53–31.1, <italic>p</italic>
< 0.01).</p>
</sec>
<sec disp-level="2"><title>Background and cognitive function of the <italic>cnm</italic>
-positive <italic>S. mutans</italic>
group and the collagen binding activity ≥10% group</title>
<p>Comparing the <italic>cnm</italic>
-positive (n = 91) with the <italic>cnm</italic>
-negative (n = 188) groups, no significant difference was observed in the clinical characteristics examined (<xref ref-type="table" rid="t4">Table 4</xref>
). Cnm protein was collagen binding activity ≥10% in 78%. The distribution of CMBs was deep in 70%, lobar in 17% and mixed in 13% in the <italic>cnm</italic>
-positive group with significant differences between the two groups. Deep CMBs were observed more frequently in the <italic>cnm</italic>
-positive group, but lobar CMBs were observed more frequently in the <italic>cnm</italic>
-negative group. Cognitive function evaluations showed no significant difference in the MMSE score, but the “Ka” score of the letter fluency tasks was significantly decreased in the <italic>cnm</italic>
-positive group (<italic>p</italic>
< 0.05 for “Ka”).</p>
<p>Comparing the collagen binding activity (+) (n = 71) with (−) (n = 208) groups, no marked difference was observed in clinical characteristics (<xref ref-type="table" rid="t4">Table 4</xref>
). But the frequency of deep CMBs was significantly higher in the collagen binding activity ≥10% group (<italic>p</italic>
< 0.01). Also, the percentage of subjects with dental caries was significantly higher (<italic>p</italic>
< 0.01) in the collagen binding activity ≥10% group. Concerning cognitive functions, the “Ta” and “Ka” scores of the letter fluency tasks were significantly lower in the collagen binding activity ≥10% group (<italic>p</italic>
< 0.05 for “Ta”, <italic>p</italic>
< 0.01 for “Ka”).</p>
</sec>
</sec>
<sec disp-level="1"><title>Discussion</title>
<p>We have previously reported that the collagen binding activity of Cnm protein produced by <italic>cnm</italic>
-positive <italic>S. mutans</italic>
is involved in the development of CMBs<xref ref-type="bibr" rid="b13">13</xref>
. Our data showed that chronic presence of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
in mice hematogenously induces cerebral hemorrhage through disruption of the blood-brain barrier<xref ref-type="bibr" rid="b10">10</xref>
. In cerebral hemorrhage, endothelial cells of cerebral vessels are damaged, and collagen is exposed on the surface of the damaged blood vessel. Hemostasis caused by this exposed collagen is important as mechanism against cerebral hemorrhage, but, if <italic>cnm</italic>
-positive <italic>S. mutans</italic>
enters the blood from the mouth, its collagen binding activity may induce cerebral hemorrhage by adherence to and damage to the vascular endothelium<xref ref-type="bibr" rid="b10">10</xref>
. However, whether these relationships between chronic <italic>cnm</italic>
-positive <italic>S. mutans</italic>
infection and cerebrovascular damage demonstrated in animals also applies to humans is unclear.</p>
<p>CMBs can be detected as punctate hypointensities by susceptibility-weighted imaging (SWI), a technique of brain MRI that is becoming increasingly prevalent, and pathological studies have confirmed that these hypointensities are hemorrhagic hemosiderin deposits<xref ref-type="bibr" rid="b32">32</xref>
<xref ref-type="bibr" rid="b33">33</xref>
. CMBs have been observed in 4–6% of healthy individuals and 57–64% of patients with intracerebral hemorrhage<xref ref-type="bibr" rid="b6">6</xref>
<xref ref-type="bibr" rid="b7">7</xref>
. CMBs were positive in 15% of the general population in the Rotterdam Scan Study, and their prevalence increased with age<xref ref-type="bibr" rid="b34">34</xref>
. Yakushiji <italic>et al</italic>
. reported that the prevalence of CMBs in over 70-year old healthy adults was around 15%, reflecting Japanese characteristics of CMBs<xref ref-type="bibr" rid="b9">9</xref>
. CMBs positivity was relatively high at 26% in our study perhaps because of the high average age of the subjects (70 ± 6.1 years) and the high risk of hypertension, smoking and alcohol use. Deep CMBs were observed in 60% of our subjects. Bokura <italic>et al</italic>
. reported the frequencies of deep, lobar, and mixed CMBs at 53%, 13%, and 34%, respectively, in an epidemiological survey of local residents<xref ref-type="bibr" rid="b7">7</xref>
, and we obtained similar results. However, we noted no relationship between the prevalence of CMBs and hypertension or hyperlipidemia, which have been reported as risk factors of CMBs<xref ref-type="bibr" rid="b6">6</xref>
<xref ref-type="bibr" rid="b7">7</xref>
<xref ref-type="bibr" rid="b35">35</xref>
<xref ref-type="bibr" rid="b36">36</xref>
. The mean age of our subjects was 70, which increases the prevalence of hypertension and CMBs.</p>
<p>We noted marked differences in the distribution of CMBs on brain MRI between <italic>cnm</italic>
-positive and -negative groups, following the similar results in the collagen activity groups. It has been previously reported that the hs-CRP level, a biomarker of chronic inflammation, was high in the group with CMBs, suggesting their relationship with increased vulnerability of the vascular wall due to inflammation<xref ref-type="bibr" rid="b37">37</xref>
. The percentage of patients with high hs-CRP was higher in the CMBs (+) group, but the difference was not significant. Nevertheless, the frequent occurrence of deep CMBs in patients with <italic>cnm</italic>
-positive <italic>S. mutans</italic>
strongly suggests an involvement of bacteria in secondary inflammation or injury of perforating arteries<xref ref-type="bibr" rid="b38">38</xref>
. In subjects positive for <italic>S. mutans</italic>
from the Japanese hospital-based cohort study<xref ref-type="bibr" rid="b11">11</xref>
<xref ref-type="bibr" rid="b14">14</xref>
, the increased rate of collagen binding activity was similarly correlated with the number of deep CMBs, which is consistent with our results. A limitation of our work is that we did not measure inflammatory components other than hs-CRP, such as cytokines. Also, as a previous report suggested the relationship between the arterial stiffness and CMBs<xref ref-type="bibr" rid="b39">39</xref>
, we performed evaluation of PWV, reflecting arteriosclerosis of peripheral vessels, but noted no significant difference.</p>
<p>Regarding the cognitive functional evaluations, the group of CMBs (+) showed low scores on the MMSE and letter fluency task starting with “Ta”, whereas it did not show statistical lower scores in letter fluency task starting with “Ka”, suggesting that it was not statistical significant because of lack of sufficient numbers. Another possibility is that the letter fluency task may be influenced by the affected cerebral location by CMBs in accordance with the functional representation of language.</p>
<p>Secondly, the infection rate of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
was high in the CMBs (+) group. Also, collagen binding activity ≥10% showed the highest odds ratio for the occurrence of CMBs after adjustment for other factors. Thus, collagen binding activity of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
was an independent risk factor of the occurrence of CMBs and in the CMBs (+) group, the percentage of patients with CPI ≥ code 3 was high. Comorbidities, such as gingivitis and periodontitis, increase vascular vulnerability, and entry of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
into the blood, whoch may result in damage to cerebral vessels<xref ref-type="bibr" rid="b40">40</xref>
. Also, the percentage of dental caries (+) patients was significantly higher in the collagen binding activity ≥10% group. Nomura <italic>et al</italic>
. suggested a strong relationship between the occurrence of dental caries and the <italic>cnm</italic>
gene<xref ref-type="bibr" rid="b20">20</xref>
. Individuals with dental caries, often neglect appropriate brushing or dental treatment permitting proliferation of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
, which binds to collagen, a component of dentin, increasing the percentage of collagen binding activity (+) in subjects in the dental caries (+) group<xref ref-type="bibr" rid="b11">11</xref>
.</p>
<p>Thirdly, cognitive scores were decreased in the CMBs (+) group. Moreover, the scores of letter fluency tasks were significantly lower in the collagen binding activity ≥10% group. Yakushiji <italic>et al</italic>
. reported that that CMBs cause cognitive impairment by damaging the basal ganglia- and the frontal-subcortical neuronal circuits<xref ref-type="bibr" rid="b9">9</xref>
. Charidimou <italic>et al</italic>
. observed that CMBs in the basal ganglia are often associated with microangiopathy, and are related to cognitive impairment in older people<xref ref-type="bibr" rid="b41">41</xref>
<xref ref-type="bibr" rid="b42">42</xref>
. We suggest that collagen binding (+) <italic>S. mutans</italic>
activates an indirect inflammation-mediated mechanism, which exacerbates microangiopathy in the region supplied by the perforator branches in the basal ganglia, thus increasing deep CMBs, and cognitive impairment. Moreover, because we confirmed that the MMSE scores were lower in females compared to males, and males had a smaller frequency of <italic>S. mutans</italic>
positivity, we performed logistic analysis including sex as an adjusting factor. We also added education history as an adjusting factor. However, sex differences were not statistically significant.</p>
<p>We evaluated the relationships of PVH/DWMH, which reflect chronic ischemic changes of the brain, with <italic>cnm</italic>
-positive <italic>S. mutans</italic>
and the collagen binding activity. No significant relationship was noted in this study. In addition, APOE4 is widely known to be an allele that enhances cerebral vascular vulnerability and cognitive impairment<xref ref-type="bibr" rid="b43">43</xref>
<xref ref-type="bibr" rid="b44">44</xref>
, and CMBs are observed more frequently in APOE4 carriers<xref ref-type="bibr" rid="b45">45</xref>
<xref ref-type="bibr" rid="b46">46</xref>
. However, we found that the presence APOE4 was not significantly related to the presence of CMBs.</p>
<p>This study has the following limitations. Various confounding factors other than the items evaluated in this study may be involved in the associations involving cognitive impairment, CMBs and <italic>cnm</italic>
-positive <italic>S. mutans</italic>
. Because of the cross-sectional nature of this study, it was difficult to evaluate the relationships of brain MR or cognitive function with oral findings including <italic>cnm</italic>
-positive <italic>S. mutans</italic>
exposure. Longitudinal studies of the relationships of Cnm-positive <italic>S. mutans</italic>
and CMBs will be of interest. Also we have not evaluated other factors related to oral hygiene besides the Cnm protein which may be conferring the occurrence of CMBs with cognitive decline. The data were obtained from a single center enrolling consecutive subjects responding to a random mailing in order to minimize the effect of individual selection bias. Although we used a random mailing to recruit subjects, some degree of selection bias was unavoidable. In addition, the number of subjects of this study was small and evaluation of a larger population is necessary. We understand that MMSE does not provide a sensitive examination of cognitive deficits. Further examination of executive functions will be advisable such as TMT (Trail Making Test) and the FAB (Frontal Assessment Battery). Furthermore, a comprehensive inflammatory profile was not obtained.</p>
</sec>
<sec disp-level="1"><title>Conclusions</title>
<p>The collagen binding activity of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
was closely related to the occurrence of deep CMBs and may be a risk factor for cognitive impairment. These results are novel findings that link chronic oral infections with geriatric disorders, such as stroke and cognitive impairment, and suggest <italic>cnm</italic>
-positive <italic>S. mutans</italic>
, in particular, is a novel factor of cognitive impairment associated with CMBs. We now clarify in this population-based survey that the rate of <italic>cnm</italic>
-positive <italic>S. mutans</italic>
is also high in asymptomatic cerebral microbleeds, and is related to a decline of cognitive function. An intervention study focused on oral care and the microbiota in CMBs subjects will be of interest. These data further support the important influence of the oral microbiota on neurological disease and emphasize the importance of collaboration between dental and medical researchers.</p>
</sec>
<sec disp-level="1"><title>Additional Information</title>
<p><bold>How to cite this article</bold>
: Watanabe, I. <italic>et al</italic>
. Oral Cnm-positive <italic>Streptococcus Mutans</italic>
Expressing Collagen Binding Activity is a Risk Factor for Cerebral Microbleeds and Cognitive Impairment. <italic>Sci. Rep.</italic>
<bold>6</bold>
, 38561; doi: 10.1038/srep38561 (2016).</p>
<p><bold>Publisher's note:</bold>
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
</sec>
<sec sec-type="supplementary-material" id="S1"><title>Supplementary Material</title>
<supplementary-material id="d32e20" content-type="local-data"><caption><title>Supplementary Materials</title>
</caption>
<media xlink:href="srep38561-s1.doc"></media>
</supplementary-material>
</sec>
</body>
<back><ack><p>This study was supported in part by a Grant-in-Aid for Scientific Research on Priority Areas of Cancer (17015018) and on Innovative Areas (221S0001) from Ministry of Health, Labour and Welfare of Japan, a Grant-in Aid for Scientific Research (B) (23390176), Grant-in-Aid for Young Scientists (Start-up) (24890194) and Grant-in-Aid for Young Scientists (B) (26861835) from the Ministry of Education, Culture, Sports, Science and Technology of Japan.</p>
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<etal></etal>
. <article-title>Genetic associations with brain microbleeds: Systematic review and meta-analyses</article-title>
. <source>Neurology</source>
<volume>77</volume>
, <fpage>158</fpage>
–<lpage>67</lpage>
(<year>2011</year>
).<pub-id pub-id-type="pmid">21715706</pub-id>
</mixed-citation>
</ref>
<ref id="b46"><mixed-citation publication-type="journal"><name><surname>Nagata</surname>
<given-names>K.</given-names>
</name>
<etal></etal>
. <article-title>Cerebrovascular lesions in elderly Japanese patients with Alzheimer’s disease</article-title>
. <source>J Neurol Sci</source>
<volume>322</volume>
, <fpage>87</fpage>
–<lpage>91</lpage>
(<year>2012</year>
).<pub-id pub-id-type="pmid">22868090</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group><fn><p><bold>Author Contributions</bold>
I.W., N.K., K.N., M.N., M.I., T.T., N.K. and Y.W. contributed to concept and study design. I.W., N.K., F.M., R.N., S.N., K.I., D.M., E.O., T.K., M.N., T.Y., A.T., T.M., K.A., A.T., K.T. and K.Y. contributed data acquisition and analysis. I.W., N.K. and R.P.F. contributed to data interpretation. All authors read and approved the final manuscript.</p>
</fn>
</fn-group>
</back>
<floats-group><fig id="f1"><label>Figure 1</label>
<caption><title>Cerebral microbleeds (arrows) using the SWI-MRI-based classification is shown in this figure.</title>
<p>(<bold>a</bold>
) Lobar microbleeds distributed across the temporal lobes. (<bold>b</bold>
) Isolated deep microbleeds in the internal aspect of the right putamen.</p>
</caption>
<graphic xlink:href="srep38561-f1"></graphic>
</fig>
<table-wrap position="float" id="t1"><label>Table 1</label>
<caption><title>Characteristics by gender.</title>
</caption>
<table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
</colgroup>
<thead valign="bottom"><tr><th rowspan="2" align="left" valign="top" charoff="50">Variable</th>
<th align="center" valign="top" charoff="50">Males (n = 189)</th>
<th align="center" valign="top" charoff="50">Females (n = 90)</th>
<th align="center" valign="top" charoff="50">Total (n = 279)</th>
</tr>
<tr><th align="center" valign="top" charoff="50">n (%)</th>
<th align="center" valign="top" charoff="50">n (%)</th>
<th align="center" valign="top" charoff="50">n (%)</th>
</tr>
</thead>
<tbody valign="top"><tr><td colspan="4" align="left" valign="top" charoff="50">Clinical characteristics</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Age (years) ± SD</td>
<td align="center" valign="top" charoff="50">70.2 ± 6.1</td>
<td align="center" valign="top" charoff="50">68.6 ± 6.0*</td>
<td align="center" valign="top" charoff="50">70.0 ± 6.1</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Age (range)</td>
<td align="center" valign="top" charoff="50">54–87</td>
<td align="center" valign="top" charoff="50">60–89</td>
<td align="center" valign="top" charoff="50">54–89</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> BMI (kg/m<sup>2</sup>
) ± SD</td>
<td align="center" valign="top" charoff="50">23.1 ± 2.7</td>
<td align="center" valign="top" charoff="50">22.0 ± 3.2**</td>
<td align="center" valign="top" charoff="50">22.7 ± 3.0</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Hypertension</td>
<td align="center" valign="top" charoff="50">104 (55)</td>
<td align="center" valign="top" charoff="50">41 (46)</td>
<td align="center" valign="top" charoff="50">145 (52)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Hyperlipidemia</td>
<td align="center" valign="top" charoff="50">111 (59)</td>
<td align="center" valign="top" charoff="50">54 (60)</td>
<td align="center" valign="top" charoff="50">165 (59)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Diabetes mellitus</td>
<td align="center" valign="top" charoff="50">30 (16)</td>
<td align="center" valign="top" charoff="50">5 (5.6)*</td>
<td align="center" valign="top" charoff="50">35 (13)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> History of stroke</td>
<td align="center" valign="top" charoff="50">4 (2.1)</td>
<td align="center" valign="top" charoff="50">1 (1.1)</td>
<td align="center" valign="top" charoff="50">5 (1.8)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> History of cardiovascular disease</td>
<td align="center" valign="top" charoff="50">10 (5.3)</td>
<td align="center" valign="top" charoff="50">4 (4.4)</td>
<td align="center" valign="top" charoff="50">14 (5.0)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Antiplatelet therapy</td>
<td align="center" valign="top" charoff="50">23 (12)</td>
<td align="center" valign="top" charoff="50">6 (6.7)</td>
<td align="center" valign="top" charoff="50">29 (10)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Anticoagulant therapy</td>
<td align="center" valign="top" charoff="50">10 (5.3)</td>
<td align="center" valign="top" charoff="50">1 (1.1)</td>
<td align="center" valign="top" charoff="50">11 (3.9)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Drinking</td>
<td align="center" valign="top" charoff="50">138 (73)</td>
<td align="center" valign="top" charoff="50">43 (48)**</td>
<td align="center" valign="top" charoff="50">181 (65)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Smoking</td>
<td align="center" valign="top" charoff="50">27 (14)</td>
<td align="center" valign="top" charoff="50">4 (4.4)*</td>
<td align="center" valign="top" charoff="50">31 (11)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Education ≤12 years<sup>a</sup>
</td>
<td align="center" valign="top" charoff="50">92 (49)</td>
<td align="center" valign="top" charoff="50">58 (66)**</td>
<td align="center" valign="top" charoff="50">150 (55)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> baPWV (m/s) ± SD</td>
<td align="center" valign="top" charoff="50">1758 ± 228.2</td>
<td align="center" valign="top" charoff="50">1691 ± 333.4</td>
<td align="center" valign="top" charoff="50">1736 ± 304.6</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> hs-CRP ≥ 0.1 mg/dL</td>
<td align="center" valign="top" charoff="50">50 (27)</td>
<td align="center" valign="top" charoff="50">27 (30)</td>
<td align="center" valign="top" charoff="50">77 (28)</td>
</tr>
<tr><td colspan="4" align="left" valign="top" charoff="50">Dental check-up findings</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Number of remaining teeth ± SD</td>
<td align="center" valign="top" charoff="50">22.8 ± 7.7</td>
<td align="center" valign="top" charoff="50">22.5 ± 6.9</td>
<td align="center" valign="top" charoff="50">22.7 ± 7.5</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Dental caries+</td>
<td align="center" valign="top" charoff="50">69 (37)</td>
<td align="center" valign="top" charoff="50">17 (19)**</td>
<td align="center" valign="top" charoff="50">86 (31)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> CPI ≥ code 3</td>
<td align="center" valign="top" charoff="50">55 (29)</td>
<td align="center" valign="top" charoff="50">22 (24)</td>
<td align="center" valign="top" charoff="50">77 (28)</td>
</tr>
<tr><td colspan="4" align="left" valign="top" charoff="50">Laboratory evaluations</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> APOE ε4 allele carrier<sup>b</sup>
</td>
<td align="center" valign="top" charoff="50">35 (19)</td>
<td align="center" valign="top" charoff="50">23 (26)</td>
<td align="center" valign="top" charoff="50">58 (21)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> <italic>Streptococcus mutans</italic>
-isolated</td>
<td align="center" valign="top" charoff="50">171 (91)</td>
<td align="center" valign="top" charoff="50">90 (100)**</td>
<td align="center" valign="top" charoff="50">261 (94)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> <italic>cnm</italic>
-positive <italic>S. mutans</italic>
-isolated</td>
<td align="center" valign="top" charoff="50">57 (30)</td>
<td align="center" valign="top" charoff="50">34 (38)</td>
<td align="center" valign="top" charoff="50">91 (33)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Collagen binding activity ≥10%</td>
<td align="center" valign="top" charoff="50">45 (24)</td>
<td align="center" valign="top" charoff="50">26 (29)</td>
<td align="center" valign="top" charoff="50">71 (25)</td>
</tr>
<tr><td colspan="4" align="left" valign="top" charoff="50">Brain MRI findings</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> CMBs</td>
<td align="center" valign="top" charoff="50">49 (26)</td>
<td align="center" valign="top" charoff="50">24 (27)</td>
<td align="center" valign="top" charoff="50">73 (26)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> PVH ≥ grade 2</td>
<td align="center" valign="top" charoff="50">24 (13)</td>
<td align="center" valign="top" charoff="50">11 (12)</td>
<td align="center" valign="top" charoff="50">35 (13)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> DWMH ≥ grade 2</td>
<td align="center" valign="top" charoff="50">51 (27)</td>
<td align="center" valign="top" charoff="50">26 (29)</td>
<td align="center" valign="top" charoff="50">77 (28)</td>
</tr>
<tr><td colspan="4" align="left" valign="top" charoff="50">Cognitive functional evaluations</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> MMSE (score) ± SD</td>
<td align="center" valign="top" charoff="50">28.6 ± 1.9</td>
<td align="center" valign="top" charoff="50">27.9 ± 2.5*</td>
<td align="center" valign="top" charoff="50">28.3 ± 2.1</td>
</tr>
<tr><td colspan="4" align="left" valign="top" charoff="50">Letter fluency tasks</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> “Ta” (score) ± SD</td>
<td align="center" valign="top" charoff="50">8.3 ± 3.1</td>
<td align="center" valign="top" charoff="50">8.1 ± 3.9</td>
<td align="center" valign="top" charoff="50">8.2 ± 3.3</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> “Ka” (score) ± SD</td>
<td align="center" valign="top" charoff="50">9.9 ± 3.4</td>
<td align="center" valign="top" charoff="50">9.5 ± 3.3</td>
<td align="center" valign="top" charoff="50">9.8 ± 3.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot><fn id="t1-fn1"><p>*T-tests <italic>p</italic>
< 0.05 and Chi-square tests <italic>p</italic>
< 0.05, **T-tests <italic>p</italic>
< 0.01 and Chi-square tests <italic>p</italic>
< 0.01.</p>
</fn>
<fn id="t1-fn2"><p><sup>a</sup>
Data are missing for education (n = 4). <sup>b</sup>
Data are missing for APOE genotype (n = 7).</p>
</fn>
<fn id="t1-fn3"><p>BMI; Body mass index, CPI; Community Periodontal Index, CMBs; Cerebral microbleeds.</p>
</fn>
<fn id="t1-fn4"><p>PVH; Periventricular Hyperintensity, DWMH; Deep White Matter Hyperintensity, MMSE; Mini-Mental State Examination.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="t2"><label>Table 2</label>
<caption><title>Comparison of clinical characteristics between the cerebral microbleeds (+) group and (−) group.</title>
</caption>
<table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col>
<col align="center"></col>
<col align="center"></col>
</colgroup>
<thead valign="bottom"><tr><th rowspan="3" align="left" valign="top" charoff="50">Variable</th>
<th colspan="2" align="center" valign="top" charoff="50">Cerebral microbleeds<hr></hr>
</th>
</tr>
<tr><th align="center" valign="top" charoff="50">− (n = 206)</th>
<th align="center" valign="top" charoff="50">+ (n = 73)</th>
</tr>
<tr><th align="center" valign="top" charoff="50">n (%)</th>
<th align="center" valign="top" charoff="50">n (%)</th>
</tr>
</thead>
<tbody valign="top"><tr><td colspan="3" align="left" valign="top" charoff="50">Clinical characteristics</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Age (years) ± SD</td>
<td align="center" valign="top" charoff="50">69.5 ± 5.9</td>
<td align="center" valign="top" charoff="50">70.2 ± 6.5</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Age (range)</td>
<td align="center" valign="top" charoff="50">59–89</td>
<td align="center" valign="top" charoff="50">54–87</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Sex (Male)</td>
<td align="center" valign="top" charoff="50">140 (68)</td>
<td align="center" valign="top" charoff="50">49 (67)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> BMI (kg/m<sup>2</sup>
) ± SD</td>
<td align="center" valign="top" charoff="50">22.5 ± 2.7</td>
<td align="center" valign="top" charoff="50">23.4 ± 3.6*</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Hypertension</td>
<td align="center" valign="top" charoff="50">102 (50)</td>
<td align="center" valign="top" charoff="50">43 (59)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Hyperlipidemia</td>
<td align="center" valign="top" charoff="50">118 (57)</td>
<td align="center" valign="top" charoff="50">47 (64)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Diabetes mellitus</td>
<td align="center" valign="top" charoff="50">27 (13)</td>
<td align="center" valign="top" charoff="50">8 (11)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> History of stroke</td>
<td align="center" valign="top" charoff="50">2 (1.0)</td>
<td align="center" valign="top" charoff="50">3 (4.1)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> History of cardiovascular disease</td>
<td align="center" valign="top" charoff="50">8 (3.9)</td>
<td align="center" valign="top" charoff="50">6 (8.2)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Antiplatelet therapy</td>
<td align="center" valign="top" charoff="50">17 (8.3)</td>
<td align="center" valign="top" charoff="50">12 (16)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Anticoagulant therapy</td>
<td align="center" valign="top" charoff="50">7 (3.4)</td>
<td align="center" valign="top" charoff="50">4 (5.5)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Drinking</td>
<td align="center" valign="top" charoff="50">140 (68)</td>
<td align="center" valign="top" charoff="50">41 (56)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Smoking</td>
<td align="center" valign="top" charoff="50">26 (13)</td>
<td align="center" valign="top" charoff="50">5 (6.8)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Education ≤12 years<sup>a</sup>
</td>
<td align="center" valign="top" charoff="50">108 (53)</td>
<td align="center" valign="top" charoff="50">42 (60)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> baPWV (m/s) ± SD</td>
<td align="center" valign="top" charoff="50">1728 ± 306.9</td>
<td align="center" valign="top" charoff="50">1760 ± 298.9</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> hs-CRP ≥ 0.1 mg/dL</td>
<td align="center" valign="top" charoff="50">55 (27)</td>
<td align="center" valign="top" charoff="50">22 (30)</td>
</tr>
<tr><td colspan="3" align="left" valign="top" charoff="50">Dental check-up findings</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Number of remaining teeth ± SD</td>
<td align="center" valign="top" charoff="50">22.9 ± 7.2</td>
<td align="center" valign="top" charoff="50">22.3 ± 8.3</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Dental caries+</td>
<td align="center" valign="top" charoff="50">60 (29)</td>
<td align="center" valign="top" charoff="50">26 (36)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> CPI ≥ code 3</td>
<td align="center" valign="top" charoff="50">50 (24)</td>
<td align="center" valign="top" charoff="50">27 (37)*</td>
</tr>
<tr><td colspan="3" align="left" valign="top" charoff="50">Laboratory evaluations</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> APOE ε4 allele carrier<sup>b</sup>
</td>
<td align="center" valign="top" charoff="50">46 (23)</td>
<td align="center" valign="top" charoff="50">12 (17)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> <italic>Streptococcus mutans</italic>
-isolated</td>
<td align="center" valign="top" charoff="50">192 (93)</td>
<td align="center" valign="top" charoff="50">69 (95)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> <italic>cnm</italic>
-positive <italic>S. mutans</italic>
-isolated</td>
<td align="center" valign="top" charoff="50">37 (18)</td>
<td align="center" valign="top" charoff="50">54 (74)**</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Collagen binding activity ≥10%</td>
<td align="center" valign="top" charoff="50">28 (14)</td>
<td align="center" valign="top" charoff="50">43 (59)**</td>
</tr>
<tr><td colspan="3" align="left" valign="top" charoff="50">Brain MRI findings</td>
</tr>
<tr><td colspan="3" align="left" valign="top" charoff="50">Distribution of CMBs</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Deep (%)</td>
<td align="center" valign="top" charoff="50">—</td>
<td align="center" valign="top" charoff="50">44 (60)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Lobar (%)</td>
<td align="center" valign="top" charoff="50">—</td>
<td align="center" valign="top" charoff="50">20 (27)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Mixed (%)</td>
<td align="center" valign="top" charoff="50">—</td>
<td align="center" valign="top" charoff="50">9 (12)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> PVH ≥ grade 2</td>
<td align="center" valign="top" charoff="50">24 (12)</td>
<td align="center" valign="top" charoff="50">11 (15)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> DWMH ≥ grade 2</td>
<td align="center" valign="top" charoff="50">50 (24)</td>
<td align="center" valign="top" charoff="50">27 (37)*</td>
</tr>
<tr><td colspan="3" align="left" valign="top" charoff="50">Cognitive functional evaluations</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> MMSE (score) ± SD</td>
<td align="center" valign="top" charoff="50">28.5 ± 2.2</td>
<td align="center" valign="top" charoff="50">27.9 ± 2.0*</td>
</tr>
<tr><td colspan="3" align="left" valign="top" charoff="50">Letter fluency tasks</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> “Ta” (score) ± SD</td>
<td align="center" valign="top" charoff="50">8.5 ± 3.5</td>
<td align="center" valign="top" charoff="50">7.6 ± 2.9*</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> “Ka” (score) ± SD</td>
<td align="center" valign="top" charoff="50">10.0 ± 3.5</td>
<td align="center" valign="top" charoff="50">9.2 ± 3.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot><fn id="t2-fn1"><p>*T-tests <italic>p</italic>
< 0.05 and Chi-square tests <italic>p</italic>
< 0.05, **T-tests <italic>p</italic>
< 0.01 and Chi-square tests <italic>p</italic>
< 0.01.</p>
</fn>
<fn id="t2-fn2"><p><sup>a</sup>
Data are missing for education (n = 4). <sup>b</sup>
Data are missing for APOE genotype (n = 7).</p>
</fn>
<fn id="t2-fn3"><p>BMI; Body mass index, CPI; Community Periodontal Index, CMBs; Cerebral microbleeds.</p>
</fn>
<fn id="t2-fn4"><p>PVH; Periventricular Hyperintensity, DWMH; Deep White Matter Hyperintensity, MMSE; Mini-Mental State Examination.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="t3"><label>Table 3</label>
<caption><title>Crude and adjusted odds ratio for the risk of cerebral microbleeds.</title>
</caption>
<table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
</colgroup>
<thead valign="bottom"><tr><th rowspan="2" align="left" valign="top" charoff="50">Variable</th>
<th align="center" valign="top" charoff="50">Crude</th>
<th rowspan="2" align="center" valign="top" charoff="50"><italic>p-value</italic>
</th>
<th align="center" valign="top" charoff="50">Model 1</th>
<th rowspan="2" align="center" valign="top" charoff="50"><italic>p-value</italic>
</th>
<th align="center" valign="top" charoff="50">Model 2</th>
<th rowspan="2" align="center" valign="top" charoff="50"><italic>p-value</italic>
</th>
</tr>
<tr><th align="center" valign="top" charoff="50">OR (95% CI)<sup>†</sup>
</th>
<th align="center" valign="top" charoff="50">OR (95% CI)<sup>†</sup>
</th>
<th align="center" valign="top" charoff="50">OR (95% CI)<sup>†</sup>
</th>
</tr>
</thead>
<tbody valign="top"><tr><td align="left" valign="top" charoff="50">Age</td>
<td align="center" valign="top" charoff="50">1.02 (0.98–1.07)</td>
<td align="center" valign="top" charoff="50">0.37</td>
<td align="center" valign="top" charoff="50">1.02 (0.98–1.07)</td>
<td align="center" valign="top" charoff="50">0.36</td>
<td align="center" valign="top" charoff="50">1.05 (0.98–1.13)</td>
<td align="center" valign="top" charoff="50">0.15</td>
</tr>
<tr><td align="left" valign="top" charoff="50">Sex (Male)</td>
<td align="center" valign="top" charoff="50">0.96 (0.55–1.70)</td>
<td align="center" valign="top" charoff="50">0.90</td>
<td align="center" valign="top" charoff="50">0.93 (0.53–1.66)</td>
<td align="center" valign="top" charoff="50">0.81</td>
<td align="center" valign="top" charoff="50">0.90 (0.39–2.06)</td>
<td align="center" valign="top" charoff="50">0.80</td>
</tr>
<tr><td align="left" valign="top" charoff="50">BMI ≥25 kg/m<sup>2</sup>
</td>
<td align="center" valign="top" charoff="50">1.42 (0.73–2.76)</td>
<td align="center" valign="top" charoff="50">0.30</td>
<td align="center" valign="top" charoff="50">1.02 (0.51–1.63)</td>
<td align="center" valign="top" charoff="50">0.76</td>
<td align="center" valign="top" charoff="50">1.24 (0.47–3.24)</td>
<td align="center" valign="top" charoff="50">0.66</td>
</tr>
<tr><td align="left" valign="top" charoff="50">Hypertension</td>
<td align="center" valign="top" charoff="50">1.46 (0.73–2.76)</td>
<td align="center" valign="top" charoff="50">0.17</td>
<td align="center" valign="top" charoff="50">1.47 (0.86–2.54)</td>
<td align="center" valign="top" charoff="50">0.16</td>
<td align="center" valign="top" charoff="50">1.36 (0.62–2.98)</td>
<td align="center" valign="top" charoff="50">0.44</td>
</tr>
<tr><td align="left" valign="top" charoff="50">Hyperlipidemia</td>
<td align="center" valign="top" charoff="50">1.35 (0.78–2.34)</td>
<td align="center" valign="top" charoff="50">0.29</td>
<td align="center" valign="top" charoff="50">1.38 (0.79–2.40)</td>
<td align="center" valign="top" charoff="50">0.26</td>
<td align="center" valign="top" charoff="50">1.59 (0.74–3.42)</td>
<td align="center" valign="top" charoff="50">0.23</td>
</tr>
<tr><td align="left" valign="top" charoff="50">diabetes mellitus</td>
<td align="center" valign="top" charoff="50">0.82 (0.35–1.89)</td>
<td align="center" valign="top" charoff="50">0.63</td>
<td align="center" valign="top" charoff="50">0.84 (0.36–1.96)</td>
<td align="center" valign="top" charoff="50">0.68</td>
<td align="center" valign="top" charoff="50">0.81 (0.26–2.56)</td>
<td align="center" valign="top" charoff="50">0.72</td>
</tr>
<tr><td align="left" valign="top" charoff="50">history of stroke</td>
<td align="center" valign="top" charoff="50">2.21 (0.74–6.62)</td>
<td align="center" valign="top" charoff="50">0.44</td>
<td align="center" valign="top" charoff="50">2.17 (0.72–6.49)</td>
<td align="center" valign="top" charoff="50">0.17</td>
<td align="center" valign="top" charoff="50">1.42 (0.31–6.46)</td>
<td align="center" valign="top" charoff="50">0.65</td>
</tr>
<tr><td align="left" valign="top" charoff="50">history of cardiovascular disease</td>
<td align="center" valign="top" charoff="50">4.37 (0.72–26.7)</td>
<td align="center" valign="top" charoff="50">0.11</td>
<td align="center" valign="top" charoff="50">3.97 (0.63–24.9)</td>
<td align="center" valign="top" charoff="50">0.14</td>
<td align="center" valign="top" charoff="50">2.94 (0.31–28.2)</td>
<td align="center" valign="top" charoff="50">0.35</td>
</tr>
<tr><td align="left" valign="top" charoff="50">Drinking</td>
<td align="center" valign="top" charoff="50">0.60 (0.35–1.04)</td>
<td align="center" valign="top" charoff="50">0.07</td>
<td align="center" valign="top" charoff="50">0.59 (0.34–1.05)</td>
<td align="center" valign="top" charoff="50">0.73</td>
<td align="center" valign="top" charoff="50">0.65 (0.30–1.38)</td>
<td align="center" valign="top" charoff="50">0.26</td>
</tr>
<tr><td align="left" valign="top" charoff="50">Smoking</td>
<td align="center" valign="top" charoff="50">0.51 (0.19–1.38)</td>
<td align="center" valign="top" charoff="50">0.18</td>
<td align="center" valign="top" charoff="50">0.54 (0.19–1.48)</td>
<td align="center" valign="top" charoff="50">0.23</td>
<td align="center" valign="top" charoff="50">1.07 (0.31–3.68)</td>
<td align="center" valign="top" charoff="50">0.92</td>
</tr>
<tr><td align="left" valign="top" charoff="50">antiplatelet therapy</td>
<td align="center" valign="top" charoff="50">2.19 (0.99–4.84)</td>
<td align="center" valign="top" charoff="50">0.53</td>
<td align="center" valign="top" charoff="50">2.12 (0.94–4.76)</td>
<td align="center" valign="top" charoff="50">0.07</td>
<td align="center" valign="top" charoff="50">2.16 (0.64–7.25)</td>
<td align="center" valign="top" charoff="50">0.21</td>
</tr>
<tr><td align="left" valign="top" charoff="50">anticoagulant therapy</td>
<td align="center" valign="top" charoff="50">1.65 (0.47–5.80)</td>
<td align="center" valign="top" charoff="50">0.44</td>
<td align="center" valign="top" charoff="50">1.63 (0.46–5.80)</td>
<td align="center" valign="top" charoff="50">0.45</td>
<td align="center" valign="top" charoff="50">2.77 (0.57–13.6)</td>
<td align="center" valign="top" charoff="50">0.21</td>
</tr>
<tr><td align="left" valign="top" charoff="50">Education ≤12 years</td>
<td align="center" valign="top" charoff="50">1.35 (0.78–2.34)</td>
<td align="center" valign="top" charoff="50">0.29</td>
<td align="center" valign="top" charoff="50">1.32 (0.75–2.31)</td>
<td align="center" valign="top" charoff="50">0.34</td>
<td align="center" valign="top" charoff="50">0.70 (0.33–1.47)</td>
<td align="center" valign="top" charoff="50">0.35</td>
</tr>
<tr><td align="left" valign="top" charoff="50">baPWV (m/s) ± SD</td>
<td align="center" valign="top" charoff="50">1.00 (0.99–1.00)</td>
<td align="center" valign="top" charoff="50">0.44</td>
<td align="center" valign="top" charoff="50">1.00 (0.99–1.00)</td>
<td align="center" valign="top" charoff="50">0.65</td>
<td align="center" valign="top" charoff="50">1.00 (0.99–1.00)</td>
<td align="center" valign="top" charoff="50">0.54</td>
</tr>
<tr><td align="left" valign="top" charoff="50">hs-CRP ≥0.1 mg/dL</td>
<td align="center" valign="top" charoff="50">1.18 (0.66–2.13)</td>
<td align="center" valign="top" charoff="50">0.57</td>
<td align="center" valign="top" charoff="50">1.15 (0.64–2.08)</td>
<td align="center" valign="top" charoff="50">0.64</td>
<td align="center" valign="top" charoff="50">0.72 (0.32–1.61)</td>
<td align="center" valign="top" charoff="50">0.43</td>
</tr>
<tr><td align="left" valign="top" charoff="50">Dental caries+</td>
<td align="center" valign="top" charoff="50">1.35 (0.77–2.37)</td>
<td align="center" valign="top" charoff="50">0.30</td>
<td align="center" valign="top" charoff="50">1.37 (0.77–2.44)</td>
<td align="center" valign="top" charoff="50">0.28</td>
<td align="center" valign="top" charoff="50">0.92 (0.42–2.01)</td>
<td align="center" valign="top" charoff="50">0.83</td>
</tr>
<tr><td align="left" valign="top" charoff="50">CPI ≥ code 3</td>
<td align="center" valign="top" charoff="50">1.83 (1.03–3.25)</td>
<td align="center" valign="top" charoff="50"><bold>0.04</bold>
</td>
<td align="center" valign="top" charoff="50">1.84 (1.04–3.27)</td>
<td align="center" valign="top" charoff="50"><bold>0.04</bold>
</td>
<td align="center" valign="top" charoff="50">2.01 (0.95–4.28)</td>
<td align="center" valign="top" charoff="50">0.07</td>
</tr>
<tr><td align="left" valign="top" charoff="50">APOE ε4 allele carrier</td>
<td align="center" valign="top" charoff="50">0.84 (0.40–1.75)</td>
<td align="center" valign="top" charoff="50">0.64</td>
<td align="center" valign="top" charoff="50">0.87 (0.48–1.58)</td>
<td align="center" valign="top" charoff="50">0.66</td>
<td align="center" valign="top" charoff="50">0.89 (0.33–2.38)</td>
<td align="center" valign="top" charoff="50">0.81</td>
</tr>
<tr><td align="left" valign="top" charoff="50">Collagen binding activity ≥10%</td>
<td align="center" valign="top" charoff="50">9.11 (4.94–16.8)</td>
<td align="center" valign="top" charoff="50"><bold><0.01</bold>
</td>
<td align="center" valign="top" charoff="50">9.68 (5.17–18.1)</td>
<td align="center" valign="top" charoff="50"><bold><0.01</bold>
</td>
<td align="center" valign="top" charoff="50">14.3 (6.53–31.1)</td>
<td align="center" valign="top" charoff="50"><bold><0.01</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot><fn id="t3-fn1"><p><sup>†</sup>
Odds ratio (OR), 95% confidence interval (CI), Bold values mean statistical significance at <italic>p</italic>
< 0.05.</p>
</fn>
<fn id="t3-fn2"><p>Model 1: adjusted by age and sex.</p>
</fn>
<fn id="t3-fn3"><p>Model 2: adjusted by age, sex, BMI, hypertension, hyperlipidemia, diabetes mellitus, history of stroke and cardiovascular disease, alcohol consumption, cigarette smoking, antiplatelet therapy, anticoagulant therapy, education, baPWV, hs-CRP, dental caries, CPI, APOE ε4 allele carrier and collagen binding activity.</p>
</fn>
<fn id="t3-fn4"><p>BMI; Body mass index, CPI; Community Periodontal Index.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="t4"><label>Table 4</label>
<caption><title>Comparison of characteristics between <italic>cnm</italic>
-positive <italic>Streptococcus mutans</italic>
(+) group and (−) group and background of collagen binding activity between the (+) group and the (−) group.</title>
</caption>
<table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
</colgroup>
<thead valign="bottom"><tr><th rowspan="3" align="left" valign="top" charoff="50">Variable</th>
<th colspan="2" align="center" valign="top" charoff="50"><italic>cnm</italic>
-positive <italic>S. mutans</italic>
-isolated<hr></hr>
</th>
<th colspan="2" align="center" valign="top" charoff="50">Collagen binding activity ≥10%<hr></hr>
</th>
</tr>
<tr><th align="center" valign="top" charoff="50">− (n = 188)</th>
<th align="center" valign="top" charoff="50">+ (n = 91)</th>
<th align="center" valign="top" charoff="50">− (n = 208)</th>
<th align="center" valign="top" charoff="50">+ (n = 71)</th>
</tr>
<tr><th align="center" valign="top" charoff="50">n (%)</th>
<th align="center" valign="top" charoff="50">n (%)</th>
<th align="center" valign="top" charoff="50">n (%)</th>
<th align="center" valign="top" charoff="50">n (%)</th>
</tr>
</thead>
<tbody valign="top"><tr><td colspan="5" align="left" valign="top" charoff="50">Clinical characteristics</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Age (years) ± SD</td>
<td align="center" valign="top" charoff="50">70.1 ± 6.1</td>
<td align="center" valign="top" charoff="50">68.9 ± 5.9</td>
<td align="center" valign="top" charoff="50">70.0 ± 6.1</td>
<td align="center" valign="top" charoff="50">69.1 ± 6.0</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Age (range)</td>
<td align="center" valign="top" charoff="50">54–89</td>
<td align="center" valign="top" charoff="50">60–87</td>
<td align="center" valign="top" charoff="50">54–89</td>
<td align="center" valign="top" charoff="50">60–87</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Sex (Male)</td>
<td align="center" valign="top" charoff="50">132 (70)</td>
<td align="center" valign="top" charoff="50">57 (63)</td>
<td align="center" valign="top" charoff="50">144 (69)</td>
<td align="center" valign="top" charoff="50">45 (63)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> BMI (kg/m<sup>2</sup>
) ± SD</td>
<td align="center" valign="top" charoff="50">22.6 ± 2.5</td>
<td align="center" valign="top" charoff="50">23.0 ± 3.6</td>
<td align="center" valign="top" charoff="50">22.6 ± 2.7</td>
<td align="center" valign="top" charoff="50">23.0 ± 3.6</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Hypertension</td>
<td align="center" valign="top" charoff="50">94 (50)</td>
<td align="center" valign="top" charoff="50">51 (56)</td>
<td align="center" valign="top" charoff="50">105 (51)</td>
<td align="center" valign="top" charoff="50">40 (56)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Hyperlipidemia</td>
<td align="center" valign="top" charoff="50">108 (57)</td>
<td align="center" valign="top" charoff="50">57 (63)</td>
<td align="center" valign="top" charoff="50">123 (59)</td>
<td align="center" valign="top" charoff="50">42 (59)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Diabetes mellitus</td>
<td align="center" valign="top" charoff="50">25 (13)</td>
<td align="center" valign="top" charoff="50">10 (11)</td>
<td align="center" valign="top" charoff="50">28 (14)</td>
<td align="center" valign="top" charoff="50">7 (9.9)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> History of stroke</td>
<td align="center" valign="top" charoff="50">4 (2.1)</td>
<td align="center" valign="top" charoff="50">1 (1.1)</td>
<td align="center" valign="top" charoff="50">4 (1.9)</td>
<td align="center" valign="top" charoff="50">1 (1.4)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> History of cardiovascular disease</td>
<td align="center" valign="top" charoff="50">7 (3.7)</td>
<td align="center" valign="top" charoff="50">7 (7.7)</td>
<td align="center" valign="top" charoff="50">9 (4.3)</td>
<td align="center" valign="top" charoff="50">5 (7.0)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Antiplatelet therapy</td>
<td align="center" valign="top" charoff="50">17 (9.0)</td>
<td align="center" valign="top" charoff="50">12 (13)</td>
<td align="center" valign="top" charoff="50">21 (10)</td>
<td align="center" valign="top" charoff="50">8 (11)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Anticoagulant therapy</td>
<td align="center" valign="top" charoff="50">8 (4.3)</td>
<td align="center" valign="top" charoff="50">3 (3.3)</td>
<td align="center" valign="top" charoff="50">9 (4.3)</td>
<td align="center" valign="top" charoff="50">2 (2.8)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Drinking</td>
<td align="center" valign="top" charoff="50">129 (69)</td>
<td align="center" valign="top" charoff="50">52 (57)</td>
<td align="center" valign="top" charoff="50">123 (59)</td>
<td align="center" valign="top" charoff="50">42 (59)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Smoking</td>
<td align="center" valign="top" charoff="50">24 (13)</td>
<td align="center" valign="top" charoff="50">7 (7.7)</td>
<td align="center" valign="top" charoff="50">12 (5.8)</td>
<td align="center" valign="top" charoff="50">4 (5.6)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Education ≤12 years<sup>a</sup>
</td>
<td align="center" valign="top" charoff="50">102 (55)</td>
<td align="center" valign="top" charoff="50">48 (55)</td>
<td align="center" valign="top" charoff="50">112 (55)</td>
<td align="center" valign="top" charoff="50">38 (54)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> baPWV (m/s) ± SD</td>
<td align="center" valign="top" charoff="50">1728 ± 292.5</td>
<td align="center" valign="top" charoff="50">1755 ± 329.5</td>
<td align="center" valign="top" charoff="50">1728 ± 298.3</td>
<td align="center" valign="top" charoff="50">1761 ± 323.6</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> hs-CRP ≥ 0.1 mg/dL</td>
<td align="center" valign="top" charoff="50">49 (26)</td>
<td align="center" valign="top" charoff="50">28 (31)</td>
<td align="center" valign="top" charoff="50">52 (25)</td>
<td align="center" valign="top" charoff="50">25 (35)</td>
</tr>
<tr><td colspan="5" align="left" valign="top" charoff="50">Dental check-up findings</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Number of remaining teeth ± SD</td>
<td align="center" valign="top" charoff="50">22.7 ± 7.5</td>
<td align="center" valign="top" charoff="50">22.8 ± 7.4</td>
<td align="center" valign="top" charoff="50">22.7 ± 7.5</td>
<td align="center" valign="top" charoff="50">22.8 ± 7.4</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Dental caries+</td>
<td align="center" valign="top" charoff="50">52 (28)</td>
<td align="center" valign="top" charoff="50">34 (37)</td>
<td align="center" valign="top" charoff="50">52 (25)</td>
<td align="center" valign="top" charoff="50">34 (48)**</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> CPI ≥ code 3</td>
<td align="center" valign="top" charoff="50">48 (26)</td>
<td align="center" valign="top" charoff="50">29 (32)</td>
<td align="center" valign="top" charoff="50">56 (27)</td>
<td align="center" valign="top" charoff="50">21 (30)</td>
</tr>
<tr><td colspan="5" align="left" valign="top" charoff="50">Laboratory evaluations</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> APOE ε4 allele carrier<sup>b</sup>
</td>
<td align="center" valign="top" charoff="50">40 (22)</td>
<td align="center" valign="top" charoff="50">18 (20)</td>
<td align="center" valign="top" charoff="50">44 (22)</td>
<td align="center" valign="top" charoff="50">14 (20)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Collagen binding activity ≥10%</td>
<td align="center" valign="top" charoff="50">—</td>
<td align="center" valign="top" charoff="50">71 (78)</td>
<td align="center" valign="top" charoff="50">—</td>
<td align="center" valign="top" charoff="50">—</td>
</tr>
<tr><td colspan="5" align="left" valign="top" charoff="50">Brain MRI findings</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> CMBs</td>
<td align="center" valign="top" charoff="50">19 (10)</td>
<td align="center" valign="top" charoff="50">54 (59)**</td>
<td align="center" valign="top" charoff="50">30 (14)</td>
<td align="center" valign="top" charoff="50">43 (61)**</td>
</tr>
<tr><td colspan="5" align="left" valign="top" charoff="50">Distribution of CMBs</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Deep (%)</td>
<td align="center" valign="top" charoff="50">6 (32)</td>
<td align="center" valign="top" charoff="50">38 (70)**</td>
<td align="center" valign="top" charoff="50">15 (50)</td>
<td align="center" valign="top" charoff="50">29 (67)**</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Lobar (%)</td>
<td align="center" valign="top" charoff="50">11 (58)</td>
<td align="center" valign="top" charoff="50">9 (17)</td>
<td align="center" valign="top" charoff="50">13 (43)</td>
<td align="center" valign="top" charoff="50">7 (16)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> Mixed (%)</td>
<td align="center" valign="top" charoff="50">2 (11)</td>
<td align="center" valign="top" charoff="50">7 (13)</td>
<td align="center" valign="top" charoff="50">2 (6.7)</td>
<td align="center" valign="top" charoff="50">7 (16)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> PVH ≥ grade 2</td>
<td align="center" valign="top" charoff="50">24 (13)</td>
<td align="center" valign="top" charoff="50">11 (12)</td>
<td align="center" valign="top" charoff="50">26 (13)</td>
<td align="center" valign="top" charoff="50">9 (13)</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> DWMH ≥ grade 2</td>
<td align="center" valign="top" charoff="50">51 (27)</td>
<td align="center" valign="top" charoff="50">26 (29)</td>
<td align="center" valign="top" charoff="50">56 (27)</td>
<td align="center" valign="top" charoff="50">21 (30)</td>
</tr>
<tr><td colspan="5" align="left" valign="top" charoff="50">Cognitive functional evaluations</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> MMSE (score) ± SD</td>
<td align="center" valign="top" charoff="50">28.4 ± 2.2</td>
<td align="center" valign="top" charoff="50">28.3 ± 2.0</td>
<td align="center" valign="top" charoff="50">28.3 ± 2.3</td>
<td align="center" valign="top" charoff="50">28.5 ± 1.8</td>
</tr>
<tr><td colspan="5" align="left" valign="top" charoff="50">Letter fluency tasks</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> “Ta” (score) ± SD</td>
<td align="center" valign="top" charoff="50">8.4 ± 3.6</td>
<td align="center" valign="top" charoff="50">8.0 ± 2.8</td>
<td align="center" valign="top" charoff="50">8.5 ± 3.5</td>
<td align="center" valign="top" charoff="50">7.6 ± 2.8**</td>
</tr>
<tr><td align="left" valign="top" charoff="50"> “Ka” (score) ± SD</td>
<td align="center" valign="top" charoff="50">10.1 ± 3.4</td>
<td align="center" valign="top" charoff="50">9.2 ± 3.2*</td>
<td align="center" valign="top" charoff="50">10.1 ± 3.4</td>
<td align="center" valign="top" charoff="50">8.9 ± 3.3**</td>
</tr>
</tbody>
</table>
<table-wrap-foot><fn id="t4-fn1"><p>*T-tests <italic>p</italic>
< 0.05 and Chi-square tests <italic>p</italic>
< 0.05, **T-tests <italic>p</italic>
< 0.01 and Chi-square tests <italic>p</italic>
< 0.01. <sup>a</sup>
Data are missing for education (n = 4).</p>
</fn>
<fn id="t4-fn2"><p><sup>b</sup>
Data are missing for APOE genotype (n = 7). BMI; Body mass index, CPI; Community Periodontal Index, CMBs; Cerebral microbleeds.</p>
</fn>
<fn id="t4-fn3"><p>PVH; Periventricular Hyperintensity, DWMH; Deep White Matter Hyperintensity, MMSE; Mini-Mental State Examination.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
</record>
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