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
National Public Health Laboratory, Brazzaville, Republic of the Congo.
Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of the Congo.
Heliyon. 2021 Feb 2;7(2):e06139. doi: 10.1016/j.heliyon.2021.e06139. eCollection 2021 Feb.
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.
多项研究表明，脂联素（ADP）水平低和α肿瘤坏死因子（NFT）水平高会增加许多与胰岛素抵抗相关的心脏代谢疾病的风险或严重程度。本研究的主要目的是评估血浆脂肪因子与通过稳态模型评估胰岛素抵抗（HOMA-IR）测量的胰岛素抵抗（IR）之间的关联。次要目的是确定潜在炎症的生物标志物，以预测居住在布拉柴维尔的刚果黑皮肤受试者的胰岛素抵抗。这项横断面研究是对234名18岁以上的明显健康参与者进行的。收集了社会人口统计学和临床数据。使用酶联免疫吸附测定（ELISA）方法测量包括总ADP和NFT剂量在内的生物学数据。根据HOMA-IR≥2.5将参与者分为两组。进行单变量和多变量逻辑回归分析以确定胰岛素抵抗的危险因素。逻辑回归后获得了优化模型。进行受体操作特征（OCR）分析以确定最佳阈值和诊断特征，以及曲线下面积（ASC）。在HOMA-IR≥2.5的组中，ADP平均值显著较低（11.49±7.61纳克/毫升；P<0.001），而肿瘤坏死因子（TNF）的平均值显著较高（96.03±44.09皮克/毫升）。体重指数（BMI）、总睾酮（TT）、C反应蛋白（CRPhs）、TNF与HOMA-IR之间存在正相关且具有显著性（p<0.05）。并且ADP与HOMA-IR之间存在负相关且具有显著性（r=-0.39；P<0.01）。同样，BMI、TT、TNF、CRPhs与ADP之间也存在负相关且具有显著性（p<0.01）。预测IR的总ADP的最佳阈值为17.52纳克/毫升，灵敏度为89%[95%置信区间（0.83-0.95）]，特异性为56%[95%置信区间（0.47-0.65）]，曲线下面积（CSA）为0.76[95%置信区间（0.69-0.81）]。逻辑回归后，优化模型的CSA为0.84[95%置信区间（0.79-0.89）]。ADP可作为一个非常合理的IR预测生物标志物。
