Cargando…

Inflammatory biomarkers and prediction of insulin resistance in Congolese adults

Several studies have shown that low levels of adiponectin (ADP) and high levels of alpha tumor necrosis factor (NFT) increase the risk or severity of many cardiometabolic diseases associated with insulin resistance. The main objective of this study was to evaluate the association between plasma adip...

Descripción completa

Detalles Bibliográficos
Autores principales: Eboka-Loumingou Sakou, Reine Freudlendrich, Longo-Mbenza, Benjamin, Nkalla-Lambi, Mûnka, Mokondjimobe, Etienne, Monabeka, Henry Germain, Moukassa, Donatien, Abena, Ange Antoine, Mekieje Tumchou, Mia Pamela, Tchokonte-Nana, Venant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889996/
https://www.ncbi.nlm.nih.gov/pubmed/33644449
http://dx.doi.org/10.1016/j.heliyon.2021.e06139
_version_ 1783652421146247168
author Eboka-Loumingou Sakou, Reine Freudlendrich
Longo-Mbenza, Benjamin
Nkalla-Lambi, Mûnka
Mokondjimobe, Etienne
Monabeka, Henry Germain
Moukassa, Donatien
Abena, Ange Antoine
Mekieje Tumchou, Mia Pamela
Tchokonte-Nana, Venant
author_facet Eboka-Loumingou Sakou, Reine Freudlendrich
Longo-Mbenza, Benjamin
Nkalla-Lambi, Mûnka
Mokondjimobe, Etienne
Monabeka, Henry Germain
Moukassa, Donatien
Abena, Ange Antoine
Mekieje Tumchou, Mia Pamela
Tchokonte-Nana, Venant
author_sort Eboka-Loumingou Sakou, Reine Freudlendrich
collection PubMed
description Several studies have shown that low levels of adiponectin (ADP) and high levels of alpha tumor necrosis factor (NFT) increase the risk or severity of many cardiometabolic diseases associated with insulin resistance. The main objective of this study was to evaluate the association between plasma adipokines and IR measured by HOMA-IR. The secondary objective was to determine the biomarker of the potential inflammation to predict IR in Congolese melanoderm subjects residing in Brazzaville. This cross-sectional study was conducted on 234 apparently healthy participants over the age of 18. Socio-demographic and clinical data were collected. Biological data, including the total ADP and NFT dosage, were measured using the ELISA method. Participants were categorized into two groups according to HOMA-IR ≥ 2.5. Univariate and multivariate logistic regression analyses were conducted to identify risk factors for insulin resistance. An optimized model was obtained after the logistic regression. The analysis of the receptor's operating characteristics (OCR) was performed to determine the optimal threshold value and diagnostic characteristics, as well as the area under the curve (ASC). ADP averages were significantly low (11.49 ± 7.61 ng/mL; P < 0.001) while those of TNF were significantly higher (96.03 ± 44.09 pg/mL) in the HOMA-IR group ≥ 2.5. There was a positive and significant correlation (p < 0.05) between BMI, TT, CRPhs, TNF and HOMA-IR. And a negative and significant correlation was noted between ADP and HOMA-IR (r = - 0.39; P < 0.01). Similarly, a negative and significant correlation (p < 0.01) was noted between BMI, TT, TNF, CRPhs and ADP. The optimal threshold value of the total ADP for predicting IR was 17.52 ng/mL with a sensitivity of 89% [IC 95% (0.83–0.95)], 56% specificity [IC 95% (0.47–0.65)] and a CSA of 0.76 [IC 95% (0.69–0.81)]. After logistic regression, the CSA of the optimized model was 0.84 [IC 95% (0.79–0.89)]. ADP can be used as a highly plausible IR prediction biomarker.
format Online
Article
Text
id pubmed-7889996
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-78899962021-02-26 Inflammatory biomarkers and prediction of insulin resistance in Congolese adults Eboka-Loumingou Sakou, Reine Freudlendrich Longo-Mbenza, Benjamin Nkalla-Lambi, Mûnka Mokondjimobe, Etienne Monabeka, Henry Germain Moukassa, Donatien Abena, Ange Antoine Mekieje Tumchou, Mia Pamela Tchokonte-Nana, Venant Heliyon Research Article Several studies have shown that low levels of adiponectin (ADP) and high levels of alpha tumor necrosis factor (NFT) increase the risk or severity of many cardiometabolic diseases associated with insulin resistance. The main objective of this study was to evaluate the association between plasma adipokines and IR measured by HOMA-IR. The secondary objective was to determine the biomarker of the potential inflammation to predict IR in Congolese melanoderm subjects residing in Brazzaville. This cross-sectional study was conducted on 234 apparently healthy participants over the age of 18. Socio-demographic and clinical data were collected. Biological data, including the total ADP and NFT dosage, were measured using the ELISA method. Participants were categorized into two groups according to HOMA-IR ≥ 2.5. Univariate and multivariate logistic regression analyses were conducted to identify risk factors for insulin resistance. An optimized model was obtained after the logistic regression. The analysis of the receptor's operating characteristics (OCR) was performed to determine the optimal threshold value and diagnostic characteristics, as well as the area under the curve (ASC). ADP averages were significantly low (11.49 ± 7.61 ng/mL; P < 0.001) while those of TNF were significantly higher (96.03 ± 44.09 pg/mL) in the HOMA-IR group ≥ 2.5. There was a positive and significant correlation (p < 0.05) between BMI, TT, CRPhs, TNF and HOMA-IR. And a negative and significant correlation was noted between ADP and HOMA-IR (r = - 0.39; P < 0.01). Similarly, a negative and significant correlation (p < 0.01) was noted between BMI, TT, TNF, CRPhs and ADP. The optimal threshold value of the total ADP for predicting IR was 17.52 ng/mL with a sensitivity of 89% [IC 95% (0.83–0.95)], 56% specificity [IC 95% (0.47–0.65)] and a CSA of 0.76 [IC 95% (0.69–0.81)]. After logistic regression, the CSA of the optimized model was 0.84 [IC 95% (0.79–0.89)]. ADP can be used as a highly plausible IR prediction biomarker. Elsevier 2021-02-02 /pmc/articles/PMC7889996/ /pubmed/33644449 http://dx.doi.org/10.1016/j.heliyon.2021.e06139 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Eboka-Loumingou Sakou, Reine Freudlendrich
Longo-Mbenza, Benjamin
Nkalla-Lambi, Mûnka
Mokondjimobe, Etienne
Monabeka, Henry Germain
Moukassa, Donatien
Abena, Ange Antoine
Mekieje Tumchou, Mia Pamela
Tchokonte-Nana, Venant
Inflammatory biomarkers and prediction of insulin resistance in Congolese adults
title Inflammatory biomarkers and prediction of insulin resistance in Congolese adults
title_full Inflammatory biomarkers and prediction of insulin resistance in Congolese adults
title_fullStr Inflammatory biomarkers and prediction of insulin resistance in Congolese adults
title_full_unstemmed Inflammatory biomarkers and prediction of insulin resistance in Congolese adults
title_short Inflammatory biomarkers and prediction of insulin resistance in Congolese adults
title_sort inflammatory biomarkers and prediction of insulin resistance in congolese adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889996/
https://www.ncbi.nlm.nih.gov/pubmed/33644449
http://dx.doi.org/10.1016/j.heliyon.2021.e06139
work_keys_str_mv AT ebokaloumingousakoureinefreudlendrich inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults
AT longombenzabenjamin inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults
AT nkallalambimunka inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults
AT mokondjimobeetienne inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults
AT monabekahenrygermain inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults
AT moukassadonatien inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults
AT abenaangeantoine inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults
AT mekiejetumchoumiapamela inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults
AT tchokontenanavenant inflammatorybiomarkersandpredictionofinsulinresistanceincongoleseadults