SrasV1, Main, Exploration, bibRecord, 004701

Proteomic Fingerprints for Potential Application to Early Diagnosis of Severe Acute Respiratory Syndrome

Identifieur interne : 004701 ( Main/Exploration ); précédent : 004700; suivant : 004702

Proteomic Fingerprints for Potential Application to Early Diagnosis of Severe Acute Respiratory Syndrome

Auteurs : Xixiong Kang ; Yang Xu ; Xiaoyi Wu ; Yong Liang ; Chen Wang ; Junhua Guo ; Yajie Wang ; Maohua Chen ; Da Wu ; Youchun Wang ; Shengli Bi ; Yan Qiu ; Peng Lu ; Jing Cheng ; Bai Xiao ; Liangping Hu ; Xing Gao ; Jingzhong Liu ; Yiping Wang ; Yingzhao Song ; Liqun Zhang ; Fengshuang Suo ; Tongyan Chen ; Zeyu Huang ; Yunzhuan Zhao ; Hong Lu ; Chunqin Pan ; Hong Tang

Source :

Clinical Chemistry [ 0009-9147 ] ; 2005.

RBID : PMC:7108460

Descripteurs français

KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Algorithmes, Analyse par réseau de protéines, Arbres de décision, Enfant, Facteurs temps, Femelle, Humains, Marqueurs biologiques (sang), Mâle, Protéines virales (sang), Protéome (analyse), Prélèvement sanguin, Sensibilité et spécificité, Spectrométrie de masse MALDI (), Sujet âgé, Syndrome respiratoire aigu sévère (diagnostic), Syndrome respiratoire aigu sévère (métabolisme), Syndrome respiratoire aigu sévère (virologie), Virus du SRAS, Études rétrospectives.
MESH :
- analyse : Protéome.
- diagnostic : Syndrome respiratoire aigu sévère.
- métabolisme : Syndrome respiratoire aigu sévère.
- sang : Marqueurs biologiques, Protéines virales.
- virologie : Syndrome respiratoire aigu sévère.
- Adolescent, Adulte, Adulte d'âge moyen, Algorithmes, Analyse par réseau de protéines, Arbres de décision, Enfant, Facteurs temps, Femelle, Humains, Mâle, Prélèvement sanguin, Sensibilité et spécificité, Spectrométrie de masse MALDI, Sujet âgé, Virus du SRAS, Études rétrospectives.

English descriptors

KwdEn :
- Adolescent, Adult, Aged, Algorithms, Biomarkers (blood), Blood Specimen Collection, Child, Decision Trees, Female, Humans, Male, Middle Aged, Protein Array Analysis, Proteome (analysis), Retrospective Studies, SARS Virus, Sensitivity and Specificity, Severe Acute Respiratory Syndrome (diagnosis), Severe Acute Respiratory Syndrome (metabolism), Severe Acute Respiratory Syndrome (virology), Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (methods), Time Factors, Viral Proteins (blood).
MESH :
- chemical , analysis : Proteome.
- chemical , blood : Biomarkers, Viral Proteins.
- diagnosis : Severe Acute Respiratory Syndrome.
- metabolism : Severe Acute Respiratory Syndrome.
- methods : Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.
- virology : Severe Acute Respiratory Syndrome.
- Adolescent, Adult, Aged, Algorithms, Blood Specimen Collection, Child, Decision Trees, Female, Humans, Male, Middle Aged, Protein Array Analysis, Retrospective Studies, SARS Virus, Sensitivity and Specificity, Time Factors.

Abstract

Background: Definitive early-stage diagnosis of severe acute respiratory syndrome (SARS) is important despite the number of laboratory tests that have been developed to complement clinical features and epidemiologic data in case definition. Pathologic changes in response to viral infection might be reflected in proteomic patterns in sera of SARS patients.

Methods: We developed a mass spectrometric decision tree classification algorithm using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. Serum samples were grouped into acute SARS (n = 74; <7 days after onset of fever) and non-SARS [n = 1067; fever and influenza A (n = 203), pneumonia (n = 176); lung cancer (n = 29); and healthy controls (n = 659)] cohorts. Diluted samples were applied to WCX-2 ProteinChip arrays (Ciphergen), and the bound proteins were assessed on a ProteinChip Reader (Model PBS II). Bioinformatic calculations were performed with Biomarker Wizard software 3.1.1 (Ciphergen).

Results: The discriminatory classifier with a panel of four biomarkers determined in the training set could precisely detect 36 of 37 (sensitivity, 97.3%) acute SARS and 987 of 993 (specificity, 99.4%) non-SARS samples. More importantly, this classifier accurately distinguished acute SARS from fever and influenza with 100% specificity (187 of 187).

Conclusions: This method is suitable for preliminary assessment of SARS and could potentially serve as a useful tool for early diagnosis.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108460

DOI: 10.1373/clinchem.2004.032458
PubMed: 15550479
PubMed Central: 7108460

Affiliations:

Le document en format XML

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<author><name sortKey="Xiao, Bai" sort="Xiao, Bai" uniqKey="Xiao B" first="Bai" last="Xiao">Bai Xiao</name>
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<author><name sortKey="Hu, Liangping" sort="Hu, Liangping" uniqKey="Hu L" first="Liangping" last="Hu">Liangping Hu</name>
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<affiliation><nlm:aff>NONE</nlm:aff>
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<author><name sortKey="Lu, Peng" sort="Lu, Peng" uniqKey="Lu P" first="Peng" last="Lu">Peng Lu</name>
<affiliation><nlm:aff>NONE</nlm:aff>
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<author><name sortKey="Cheng, Jing" sort="Cheng, Jing" uniqKey="Cheng J" first="Jing" last="Cheng">Jing Cheng</name>
<affiliation><nlm:aff>NONE</nlm:aff>
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<author><name sortKey="Xiao, Bai" sort="Xiao, Bai" uniqKey="Xiao B" first="Bai" last="Xiao">Bai Xiao</name>
<affiliation><nlm:aff>NONE</nlm:aff>
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<author><name sortKey="Hu, Liangping" sort="Hu, Liangping" uniqKey="Hu L" first="Liangping" last="Hu">Liangping Hu</name>
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</affiliation>
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<author><name sortKey="Gao, Xing" sort="Gao, Xing" uniqKey="Gao X" first="Xing" last="Gao">Xing Gao</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Liu, Jingzhong" sort="Liu, Jingzhong" uniqKey="Liu J" first="Jingzhong" last="Liu">Jingzhong Liu</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Wang, Yiping" sort="Wang, Yiping" uniqKey="Wang Y" first="Yiping" last="Wang">Yiping Wang</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Song, Yingzhao" sort="Song, Yingzhao" uniqKey="Song Y" first="Yingzhao" last="Song">Yingzhao Song</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Zhang, Liqun" sort="Zhang, Liqun" uniqKey="Zhang L" first="Liqun" last="Zhang">Liqun Zhang</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Suo, Fengshuang" sort="Suo, Fengshuang" uniqKey="Suo F" first="Fengshuang" last="Suo">Fengshuang Suo</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Chen, Tongyan" sort="Chen, Tongyan" uniqKey="Chen T" first="Tongyan" last="Chen">Tongyan Chen</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Huang, Zeyu" sort="Huang, Zeyu" uniqKey="Huang Z" first="Zeyu" last="Huang">Zeyu Huang</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Zhao, Yunzhuan" sort="Zhao, Yunzhuan" uniqKey="Zhao Y" first="Yunzhuan" last="Zhao">Yunzhuan Zhao</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Lu, Hong" sort="Lu, Hong" uniqKey="Lu H" first="Hong" last="Lu">Hong Lu</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Pan, Chunqin" sort="Pan, Chunqin" uniqKey="Pan C" first="Chunqin" last="Pan">Chunqin Pan</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Tang, Hong" sort="Tang, Hong" uniqKey="Tang H" first="Hong" last="Tang">Hong Tang</name>
<affiliation><nlm:aff>NONE</nlm:aff>
</affiliation>
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<term>Adult</term>
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</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Marqueurs biologiques</term>
<term>Protéines virales</term>
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<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Syndrome respiratoire aigu sévère</term>
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<term>Adult</term>
<term>Aged</term>
<term>Algorithms</term>
<term>Blood Specimen Collection</term>
<term>Child</term>
<term>Decision Trees</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Protein Array Analysis</term>
<term>Retrospective Studies</term>
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<term>Adulte</term>
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<front><div type="abstract" xml:lang="en"><title>Abstract</title>
<p><italic>Background:</italic>
 Definitive early-stage diagnosis of severe acute respiratory syndrome (SARS) is important despite the number of laboratory tests that have been developed to complement clinical features and epidemiologic data in case definition. Pathologic changes in response to viral infection might be reflected in proteomic patterns in sera of SARS patients.</p>
<p><italic>Methods:</italic>
 We developed a mass spectrometric decision tree classification algorithm using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. Serum samples were grouped into acute SARS (n = 74; <7 days after onset of fever) and non-SARS [n = 1067; fever and influenza A (n = 203), pneumonia (n = 176); lung cancer (n = 29); and healthy controls (n = 659)] cohorts. Diluted samples were applied to WCX-2 ProteinChip arrays (Ciphergen), and the bound proteins were assessed on a ProteinChip Reader (Model PBS II). Bioinformatic calculations were performed with Biomarker Wizard software 3.1.1 (Ciphergen).</p>
<p><italic>Results:</italic>
 The discriminatory classifier with a panel of four biomarkers determined in the training set could precisely detect 36 of 37 (sensitivity, 97.3%) acute SARS and 987 of 993 (specificity, 99.4%) non-SARS samples. More importantly, this classifier accurately distinguished acute SARS from fever and influenza with 100% specificity (187 of 187).</p>
<p><italic>Conclusions:</italic>
 This method is suitable for preliminary assessment of SARS and could potentially serve as a useful tool for early diagnosis.</p>
</div>
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<tree><noCountry><name sortKey="Bi, Shengli" sort="Bi, Shengli" uniqKey="Bi S" first="Shengli" last="Bi">Shengli Bi</name>
<name sortKey="Chen, Maohua" sort="Chen, Maohua" uniqKey="Chen M" first="Maohua" last="Chen">Maohua Chen</name>
<name sortKey="Chen, Tongyan" sort="Chen, Tongyan" uniqKey="Chen T" first="Tongyan" last="Chen">Tongyan Chen</name>
<name sortKey="Cheng, Jing" sort="Cheng, Jing" uniqKey="Cheng J" first="Jing" last="Cheng">Jing Cheng</name>
<name sortKey="Gao, Xing" sort="Gao, Xing" uniqKey="Gao X" first="Xing" last="Gao">Xing Gao</name>
<name sortKey="Guo, Junhua" sort="Guo, Junhua" uniqKey="Guo J" first="Junhua" last="Guo">Junhua Guo</name>
<name sortKey="Hu, Liangping" sort="Hu, Liangping" uniqKey="Hu L" first="Liangping" last="Hu">Liangping Hu</name>
<name sortKey="Huang, Zeyu" sort="Huang, Zeyu" uniqKey="Huang Z" first="Zeyu" last="Huang">Zeyu Huang</name>
<name sortKey="Kang, Xixiong" sort="Kang, Xixiong" uniqKey="Kang X" first="Xixiong" last="Kang">Xixiong Kang</name>
<name sortKey="Liang, Yong" sort="Liang, Yong" uniqKey="Liang Y" first="Yong" last="Liang">Yong Liang</name>
<name sortKey="Liu, Jingzhong" sort="Liu, Jingzhong" uniqKey="Liu J" first="Jingzhong" last="Liu">Jingzhong Liu</name>
<name sortKey="Lu, Hong" sort="Lu, Hong" uniqKey="Lu H" first="Hong" last="Lu">Hong Lu</name>
<name sortKey="Lu, Peng" sort="Lu, Peng" uniqKey="Lu P" first="Peng" last="Lu">Peng Lu</name>
<name sortKey="Pan, Chunqin" sort="Pan, Chunqin" uniqKey="Pan C" first="Chunqin" last="Pan">Chunqin Pan</name>
<name sortKey="Qiu, Yan" sort="Qiu, Yan" uniqKey="Qiu Y" first="Yan" last="Qiu">Yan Qiu</name>
<name sortKey="Song, Yingzhao" sort="Song, Yingzhao" uniqKey="Song Y" first="Yingzhao" last="Song">Yingzhao Song</name>
<name sortKey="Suo, Fengshuang" sort="Suo, Fengshuang" uniqKey="Suo F" first="Fengshuang" last="Suo">Fengshuang Suo</name>
<name sortKey="Tang, Hong" sort="Tang, Hong" uniqKey="Tang H" first="Hong" last="Tang">Hong Tang</name>
<name sortKey="Wang, Chen" sort="Wang, Chen" uniqKey="Wang C" first="Chen" last="Wang">Chen Wang</name>
<name sortKey="Wang, Yajie" sort="Wang, Yajie" uniqKey="Wang Y" first="Yajie" last="Wang">Yajie Wang</name>
<name sortKey="Wang, Yiping" sort="Wang, Yiping" uniqKey="Wang Y" first="Yiping" last="Wang">Yiping Wang</name>
<name sortKey="Wang, Youchun" sort="Wang, Youchun" uniqKey="Wang Y" first="Youchun" last="Wang">Youchun Wang</name>
<name sortKey="Wu, Da" sort="Wu, Da" uniqKey="Wu D" first="Da" last="Wu">Da Wu</name>
<name sortKey="Wu, Xiaoyi" sort="Wu, Xiaoyi" uniqKey="Wu X" first="Xiaoyi" last="Wu">Xiaoyi Wu</name>
<name sortKey="Xiao, Bai" sort="Xiao, Bai" uniqKey="Xiao B" first="Bai" last="Xiao">Bai Xiao</name>
<name sortKey="Xu, Yang" sort="Xu, Yang" uniqKey="Xu Y" first="Yang" last="Xu">Yang Xu</name>
<name sortKey="Zhang, Liqun" sort="Zhang, Liqun" uniqKey="Zhang L" first="Liqun" last="Zhang">Liqun Zhang</name>
<name sortKey="Zhao, Yunzhuan" sort="Zhao, Yunzhuan" uniqKey="Zhao Y" first="Yunzhuan" last="Zhao">Yunzhuan Zhao</name>
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Proteomic Fingerprints for Potential Application to Early Diagnosis of Severe Acute Respiratory Syndrome

Proteomic Fingerprints for Potential Application to Early Diagnosis of Severe Acute Respiratory Syndrome

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