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Predictors of HbA1c among Adipocytokine Biomarkers in African-American Men with Varied Glucose Tolerance.

Citation
Barengolts, E., et al. “Predictors Of Hba1C Among Adipocytokine Biomarkers In African-American Men With Varied Glucose Tolerance.”. Biomedicines.
Center University of Chicago
Author Elena Barengolts, Arfana Akbar, Brian T Layden, Yuval Eisenberg, Medha Priyadarshini, Jeffrey A Borgia, Cristina L Fhied, Michael Salim, Lara R Dugas
Keywords TNF-α, adipokines, Adipsin, cytokines, multiplex assay, type 2 diabetes
Abstract

This study explored adipocytokine associations with acute and chronic hyperglycemia in African-American men (AAM). Fourteen adipocytokines were measured from men with normal glucose tolerance (NGT) or type 2 diabetes (T2D, drug-naïve MF(-) or using metformin MF(+)). Acute and chronic hyperglycemia were evaluated by 120 min oral glucose tolerance test (OGTT) and glycohemoglobin A1c (HbA1c). AAM with T2D ( = 21) compared to NGT ( = 20) were older, had higher BMI and slightly higher glucose and insulin. In the fasted state, TNF-α, IL-6, PAI-1, IL-13, adiponectin, adipsin, and lipocalin were lower in T2D vs. NGT. At 120 min post-glucose load, TNF-α, IL-6, IL-13, IL-8, PAI-1, adiponectin, adipsin, lipocalin, and resistin were lower in T2D vs. NGT. There were no statistical differences for GM-CSF, IL-7, IL-10, IP-10, and MCP-1. Regression analysis showed that fasting IL-8, TNF-α, adiponectin, lipocalin, resistin, adipsin, and PAI-1 were associated with HbA1c. After adjusting for age, BMI, glucose tolerance, and metformin use, only adipsin remained significantly associated with HbA1c ( = 0.021). The model including adipsin, TNF-α, age, BMI, and group designation (i.e., NGT, MF(-), MF(+)) explained 86% of HbA1c variability. The data suggested that adipsin could be associated with HbA1c in AAM with varied glucose tolerance.

Year of Publication
2020
Journal
Biomedicines
Volume
8
Issue
11
Date Published
11/2020
ISSN Number
2227-9059
DOI
10.3390/biomedicines8110520
Alternate Journal
Biomedicines
PMID
33233515
PMCID
PMC7699586
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