Hyperbolic relation between beta-cell function and insulin sensitivity for type 2 diabetes mellitus, malaria, influenza, Helicobacter pylori, Chlamydia pneumoniae, and hepatitis C virus infection-induced inflammation/oxidative stress and temporary insulin resistance in Central Africans
Identifieur interne : 000A94 ( Main/Exploration ); précédent : 000A93; suivant : 000A95Hyperbolic relation between beta-cell function and insulin sensitivity for type 2 diabetes mellitus, malaria, influenza, Helicobacter pylori, Chlamydia pneumoniae, and hepatitis C virus infection-induced inflammation/oxidative stress and temporary insulin resistance in Central Africans
Auteurs : Jean Bosco Kasiam Lasi On'Kin ; Benjamin Longo-Mbenza ; Venant Tchokonte-Nana ; Augustin Nge Okwe ; Nelly Kangola KabanguSource :
- Turkish journal of medical sciences [ 1300-0144 ] ; 2017.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Afrique subsaharienne (épidémiologie), Cellules à insuline (métabolisme), Diabète de type 2 (microbiologie), Diabète de type 2 (parasitologie), Diabète de type 2 (physiopathologie), Diabète de type 2 (épidémiologie), Facteurs de risque, Femelle, Grippe humaine (), Grippe humaine (épidémiologie), Homéostasie, Humains, Hépatite C (), Hépatite C (épidémiologie), Infections à Chlamydia (), Infections à Chlamydia (épidémiologie), Infections à Helicobacter (), Infections à Helicobacter (épidémiologie), Inflammation, Insulinorésistance (physiologie), Jeune adulte, Modèles biologiques, Mâle, Paludisme (), Paludisme (épidémiologie), Études cas-témoins.
- MESH :
- microbiologie : Diabète de type 2.
- métabolisme : Cellules à insuline.
- parasitologie : Diabète de type 2.
- physiologie : Insulinorésistance.
- physiopathologie : Diabète de type 2.
- épidémiologie : Afrique subsaharienne, Diabète de type 2, Grippe humaine, Hépatite C, Infections à Chlamydia, Infections à Helicobacter, Paludisme.
- Adolescent, Adulte, Facteurs de risque, Femelle, Grippe humaine, Homéostasie, Humains, Hépatite C, Infections à Chlamydia, Infections à Helicobacter, Inflammation, Jeune adulte, Modèles biologiques, Mâle, Paludisme, Études cas-témoins.
English descriptors
- KwdEn :
- Adolescent, Adult, Africa South of the Sahara (epidemiology), Case-Control Studies, Chlamydia Infections (complications), Chlamydia Infections (epidemiology), Diabetes Mellitus, Type 2 (epidemiology), Diabetes Mellitus, Type 2 (microbiology), Diabetes Mellitus, Type 2 (parasitology), Diabetes Mellitus, Type 2 (physiopathology), Female, Helicobacter Infections (complications), Helicobacter Infections (epidemiology), Hepatitis C (complications), Hepatitis C (epidemiology), Homeostasis, Humans, Inflammation, Influenza, Human (complications), Influenza, Human (epidemiology), Insulin Resistance (physiology), Insulin-Secreting Cells (metabolism), Malaria (complications), Malaria (epidemiology), Male, Models, Biological, Risk Factors, Young Adult.
- MESH :
- geographic , epidemiology : Africa South of the Sahara.
- complications : Chlamydia Infections, Helicobacter Infections, Hepatitis C, Influenza, Human, Malaria.
- epidemiology : Chlamydia Infections, Diabetes Mellitus, Type 2, Helicobacter Infections, Hepatitis C, Influenza, Human, Malaria.
- metabolism : Insulin-Secreting Cells.
- microbiology : Diabetes Mellitus, Type 2.
- parasitology : Diabetes Mellitus, Type 2.
- physiology : Insulin Resistance.
- physiopathology : Diabetes Mellitus, Type 2.
- Adolescent, Adult, Case-Control Studies, Female, Homeostasis, Humans, Inflammation, Male, Models, Biological, Risk Factors, Young Adult.
Abstract
Background/aim: We calculated the homeostatic model assessment (HOMA) for estimating insulin sensitivity and beta-cell function in normal, healthy nondiabetics with infections (malaria, influenza, HIV, Helicobacter pylori, Chlamydia pneumoniae, and hepatitis C virus), type 2 diabetic black patients, and healthy controls from Kinshasa, DR Congo. Materials and methods: A case-control study was carried out between 2006 and 2007 for black Central African participants managed for HOMA.Results: In total, 219 patients and 110 healthy controls were matched for sex and age. The hyperbolic product for 85 infected patients occupied an intermediate position between the hyperbolic product for 110 controls and that of 134 type 2 diabetics. Inflammation/oxidative stress was present in all infected patients, as well as in the type 2 diabetics. Of the patients, 39.3% and 49.8% had insulin resistance and metabolic syndrome, respectively. Insulin resistance was more prevalent in nondiabetics with inflammation/oxidative stress (47.1%; P = 0.041) than in type 2 diabetics (34.3%). Type 2 diabetics had higher insulin sensitivity and lower beta-cell function but a similar HOMA-IR score. Conclusion: We recommend the assessment of insulin resistance in Central African patients with severe infections and type 2 diabetes.
DOI: 10.3906/sag-1608-48
PubMed: 29306246
Affiliations:
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Le document en format XML
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last="Longo-Mbenza">Benjamin Longo-Mbenza</name></author><author><name sortKey="Tchokonte Nana, Venant" sort="Tchokonte Nana, Venant" uniqKey="Tchokonte Nana V" first="Venant" last="Tchokonte-Nana">Venant Tchokonte-Nana</name></author><author><name sortKey="Okwe, Augustin Nge" sort="Okwe, Augustin Nge" uniqKey="Okwe A" first="Augustin Nge" last="Okwe">Augustin Nge Okwe</name></author><author><name sortKey="Kabangu, Nelly Kangola" sort="Kabangu, Nelly Kangola" uniqKey="Kabangu N" first="Nelly Kangola" last="Kabangu">Nelly Kangola Kabangu</name></author></analytic><series><title level="j">Turkish journal of medical sciences</title><idno type="ISSN">1300-0144</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Africa South of the Sahara (epidemiology)</term><term>Case-Control Studies</term><term>Chlamydia Infections (complications)</term><term>Chlamydia Infections (epidemiology)</term><term>Diabetes Mellitus, Type 2 (epidemiology)</term><term>Diabetes Mellitus, Type 2 (microbiology)</term><term>Diabetes Mellitus, Type 2 (parasitology)</term><term>Diabetes Mellitus, Type 2 (physiopathology)</term><term>Female</term><term>Helicobacter Infections (complications)</term><term>Helicobacter Infections (epidemiology)</term><term>Hepatitis C (complications)</term><term>Hepatitis C (epidemiology)</term><term>Homeostasis</term><term>Humans</term><term>Inflammation</term><term>Influenza, Human (complications)</term><term>Influenza, Human (epidemiology)</term><term>Insulin Resistance (physiology)</term><term>Insulin-Secreting Cells (metabolism)</term><term>Malaria (complications)</term><term>Malaria (epidemiology)</term><term>Male</term><term>Models, Biological</term><term>Risk Factors</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Afrique subsaharienne (épidémiologie)</term><term>Cellules à insuline (métabolisme)</term><term>Diabète de type 2 (microbiologie)</term><term>Diabète de type 2 (parasitologie)</term><term>Diabète de type 2 (physiopathologie)</term><term>Diabète de type 2 (épidémiologie)</term><term>Facteurs de risque</term><term>Femelle</term><term>Grippe humaine ()</term><term>Grippe humaine (épidémiologie)</term><term>Homéostasie</term><term>Humains</term><term>Hépatite C ()</term><term>Hépatite C (épidémiologie)</term><term>Infections à Chlamydia ()</term><term>Infections à Chlamydia (épidémiologie)</term><term>Infections à Helicobacter ()</term><term>Infections à Helicobacter (épidémiologie)</term><term>Inflammation</term><term>Insulinorésistance (physiologie)</term><term>Jeune adulte</term><term>Modèles biologiques</term><term>Mâle</term><term>Paludisme ()</term><term>Paludisme (épidémiologie)</term><term>Études cas-témoins</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Africa South of the Sahara</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Chlamydia Infections</term><term>Helicobacter Infections</term><term>Hepatitis C</term><term>Influenza, Human</term><term>Malaria</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Chlamydia Infections</term><term>Diabetes Mellitus, Type 2</term><term>Helicobacter Infections</term><term>Hepatitis C</term><term>Influenza, Human</term><term>Malaria</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Insulin-Secreting Cells</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Diabète de type 2</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Diabetes Mellitus, Type 2</term></keywords><keywords scheme="MESH" 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Helicobacter</term><term>Paludisme</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Case-Control Studies</term><term>Female</term><term>Homeostasis</term><term>Humans</term><term>Inflammation</term><term>Male</term><term>Models, Biological</term><term>Risk Factors</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Facteurs de risque</term><term>Femelle</term><term>Grippe humaine</term><term>Homéostasie</term><term>Humains</term><term>Hépatite C</term><term>Infections à Chlamydia</term><term>Infections à Helicobacter</term><term>Inflammation</term><term>Jeune adulte</term><term>Modèles biologiques</term><term>Mâle</term><term>Paludisme</term><term>Études cas-témoins</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Background/aim: We calculated the homeostatic model assessment (HOMA) for estimating insulin sensitivity and beta-cell function in normal, healthy nondiabetics with infections (malaria, influenza, HIV, Helicobacter pylori, Chlamydia pneumoniae, and hepatitis C virus), type 2 diabetic black patients, and healthy controls from Kinshasa, DR Congo. Materials and methods: A case-control study was carried out between 2006 and 2007 for black Central African participants managed for HOMA.Results: In total, 219 patients and 110 healthy controls were matched for sex and age. The hyperbolic product for 85 infected patients occupied an intermediate position between the hyperbolic product for 110 controls and that of 134 type 2 diabetics. Inflammation/oxidative stress was present in all infected patients, as well as in the type 2 diabetics. Of the patients, 39.3% and 49.8% had insulin resistance and metabolic syndrome, respectively. Insulin resistance was more prevalent in nondiabetics with inflammation/oxidative stress (47.1%; P = 0.041) than in type 2 diabetics (34.3%). Type 2 diabetics had higher insulin sensitivity and lower beta-cell function but a similar HOMA-IR score. Conclusion: We recommend the assessment of insulin resistance in Central African patients with severe infections and type 2 diabetes.</div></front></TEI><affiliations><list></list><tree><noCountry><name sortKey="Kabangu, Nelly Kangola" sort="Kabangu, Nelly Kangola" uniqKey="Kabangu N" first="Nelly Kangola" last="Kabangu">Nelly Kangola Kabangu</name><name sortKey="Longo Mbenza, Benjamin" sort="Longo Mbenza, Benjamin" uniqKey="Longo Mbenza B" first="Benjamin" last="Longo-Mbenza">Benjamin Longo-Mbenza</name><name sortKey="Okwe, Augustin Nge" sort="Okwe, Augustin Nge" uniqKey="Okwe A" first="Augustin Nge" last="Okwe">Augustin Nge Okwe</name><name sortKey="On Kin, Jean Bosco Kasiam Lasi" sort="On Kin, Jean Bosco Kasiam Lasi" uniqKey="On Kin J" first="Jean Bosco Kasiam Lasi" last="On'Kin">Jean Bosco Kasiam Lasi On'Kin</name><name sortKey="Tchokonte Nana, Venant" sort="Tchokonte Nana, Venant" uniqKey="Tchokonte Nana V" first="Venant" last="Tchokonte-Nana">Venant Tchokonte-Nana</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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