Anti-TNF (aa 124-233) polyclonal antibody

Introduction High-intensity interval training (HIIT) is considered a time-efficient strategy to improve metabolic health. We performed a systematic meta-analysis to assess the effects of HIIT on inflammatory markers and adipo-cytokines compared with control conditions (CON) or moderate-intensity continuous training (MICT) in individuals with metabolic disorders. Methods Up to January 2020, electronic databases were searched for HIIT interventions based on populations with metabolic disorders including diabetes, metabolic syndrome, polycystic ovary syndrome, non-alcoholic fatty liver disease or overweight/obesity, with outcome measurements that included IL-6, TNF-alpha, CRP, leptin or adiponectin and training >= 2 weeks. Random-effects models were used to aggregate a mean effect size (ES), 95% confidence intervals (Cis), and potential moderators were explored. Results Twenty-nine studies involving 841 participants were included in the meta-analysis. HIIT improved circulating adiponectin (P = .02), leptin (P = .02), and TNF-alpha (P = .003) when compared to CON. There were no differences between groups in IL-6 and CRP. Intervention duration was a significant moderator for the effect of HIIT on IL-6, and leptin (P < .05). Conclusion High-intensity interval training improves circulating TNF-alpha, leptin and adiponectin, thereby indicating that it may be an effective and time-efficient intervention for controlling low-grade inflammation in individuals with metabolic disorders.

Objective: Evaluation of serum concentration of leptin, adiponectin, resistin, and MCP-1 in pregnant patients with different types of diabetes mellitus (DM) considering preconception planning and method of DM correction in 11-14th and 30-34th weeks of pregnancy. Study design: Longitudinal, prospective study included 130 pregnant women divided into the following comparison groups: type 1 DM (T1DM, n = 40), type 2 DM (T2DM, n = 35), GDM (n = 40), and the control group (n = 15). The ELISA method defined the levels of leptin, resistin, adiponectin, and MCP-1 concentration in serum, which was assessed in 11-14th and 30-34th weeks of pregnancy. Statistical analysis was accomplished using SPSS 23.0 and "Prism 8-GraphPad" software. Results: The leptin level in the 1st trimester was the highest in T2DM insulin group compared to the control due to gestational age, hence in the 3rd trimester in all groups its serum concentrations appeared higher than in healthy patients (p = 0.0001). In the 1st trimester leptin levels directly correlated with women's BMI, newborns' weight and macrosomia rate, in the 3rd trimester - with OGTT levels, HbA1c, gestational hypertension, and preeclampsia rates. Resistin levels in the 1st and 3rd trimesters were increased in almost all DM groups compared to the control group (p = 0.0001). The study established direct positive correlation between resistin and HbA1c, birth weight, and preeclampsia. In the 1st trimester, adiponectin demonstrated the lowest levels in T2DM insulin compared to T1DM and the control group (p = 0.0001) while in the 3rd trimester, adiponectin levels declined alongside gestational age in DM patients and all the groups compared to the control group (p < 0.05). Adiponectin negatively correlated with BMI, OGTT levels, and preeclampsia rate. MCP-1 levels in T2DM appeared higher than in T1DM patients and the control group in the 1st trimester, whereas in the 3rd trimester MCP-1 declined, correlating with BMI, preeclampsia and OGTT levels. Conclusion: High rate of adverse perinatal outcomes in diabetic pregnancy might be developed due to more severe metabolic failures and further disturbances of adipokines expression. (C) 2020 Elsevier B.V. All rights reserved.