[Adipokines and highly active antiretroviral therapy related lipodystrophy: clinical study of 52 cases]

To investigate the prevalence of glucose and lipid abnormalities in AIDS patients treated with highly active antiretroviral therapy (HAART) and difference thereof between the HIV-lipodystrophy (LD) and non-HIV-LD groups, and to compare the plasma levels of adiponectin (APN) and leptin (LEP) and their relationship to metabolic disturbance and fat redistribution in these 2 groups.

Fifty-two HIV-infected patients were divided into HIV-LD group and non-HIV-LD group according to the patients' reports and doctors' evaluation. Body composition was assessed by whole body dual-energy X-ray absorptiometry. Plasma samples were analyzed for cholesterol, triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), insulin, APN, and LEP. The prevalence of dyslipidemia and hyperinsulinemia, the difference of adipocytokine levels, and the relationship of adiponectin, leptin with lipids, insulin as well as fat mass in different body regions were analyzed between the groups.

The prevalence rates of hypercholesterolaemia, hypertriglyceridaemia, and low HDL-C level were 17.3%, 50.0%, and 17.3% respectively. The rate of hyperinsulinemia and any kind of dyslipidemia were 25.0% and 59.6%. Compared with non-HIV-LD patients, HIV-LD patients had higher TG level, and lower HDL-C and APN levels. In the HIV-LD group, the APN level was correlated positively with limb/total body fat, but negatively with trunk/total body fat, and was an independent predictor of HDL-C and insulin level. However, LEP was positively correlated with the levels of total body fat, limb fat, and trunk fat in both groups.

The prevalence rates of dyslipidemia and insulin resistance are high in Chinese HIV/AIDS patients receiving HAART, especially in the HIV-LD group. The APN concentration in the HIV-LD patients is closely related to fat redistribution and independently predicts the levels of HDL-C and insulin. LEP can serve as a biomarker of total body fat mass.