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Metabolic syndrome (MetS) is a complex, multifactorial disease which lead to an increased risk of cardiovascular disease, type 2 diabetes, and stroke. However, selective, and potent drugs for the treatment of MetS are still lacking. Previous studies have found that Akebia saponin D (ASD) has beneficial effects on metabolic diseases such as obesity, atherosclerosis, and non-alcoholic fatty liver disease (NAFLD). Therefore, our study was designed to determine the effect and mechanism of action of ASD against MetS in a high-fat diet (HFD) induced mouse model. ASD significantly decreased plasma lipid and insulin resistance in these mice, and a targeted approach using metabolomic analyses of plasma and feces indicated that glucose and lipids in these mice crossed the damaged intestinal barrier into circulation. Furthermore, ASD was able to increase lipid excretion and inhibit intestinal epithelial lipid absorption. Results for gut microbiota composition showed that ASD significantly reduced HFD-associated Alistipes, Prevotella, and enhanced the proportions of Butyricimonas, Ruminococcus, and Bifidobacterium. After 14 weeks of ASD/fecal microbiota transplantation (FMT) interventions the developed gut barrier dysfunction was restored. Additionally, RNA-seq revealed that ASD reduced the lipid-induced tight junction (TJ) damage in intestinal epithelial cells via down-regulation of the PPAR-γ-FABP4 pathway in vitro and that use of the PPAR-γ inhibitor (T0070907) was able to partially block the effects of ASD, indicating that the PPAR-γ/FABP4 pathway is a critical mediator involved in the improvement of MetS. Our results demonstrated that ASD not only modifies the gut microbiome but also ameliorates the HFD-induced gut barrier disruption via down-regulation of the PPAR-γ-FABP4 pathway. These findings suggest a promising, and novel therapeutic strategy for gut protection against MetS., (Copyright © 2021 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

Metabolic syndrome (MetS) is a health disorder characterized by metabolic abnormalities that predict an increased risk to develop cardiovascular disease (CVD) and type 2 diabetes. Biomarkers can provide an insight into the novel mechanism for MetS and can be potentially used for personalized response to therapies. We exploited a targeted HPLC-MS/MS method to characterize plasma amino acids and carnitine metabolic profile in MetS patients. A training set (40 cases and 40 controls) and validation set (80 MetS patients and 80 healthy controls) were carried out to find the metabolic profiles. We discovered two carnitine metabolites including hydroxydecanoyl carnitine and methylglutarylcarnitine. Our results indicated that the decreased level of hydroxydecanoyl carnitine and methylglutarylcarnitine may be associated with the risk of MetS. These biomarkers may improve the risk prediction and provide a novel tool for monitoring of the progression of disease and response to treatment in MetS patients., Competing Interests: We declare that we have no conflict of interest., (Copyright © 2020 Li-li Gong et al.)

Metabolic syndrome (MetS) is an important risk factor for type 2 diabetes, cardiovascular diseases and all-cause morbidity and mortality. Biomarkers can provide insight into the mechanism, facilitate early detection, and monitor progression of MetS and its response to therapeutic interventions. To identify potential biomarkers, we applied a non-targeted and targeted lipidomics method to characterize plasma metabolic profile in MetS patients. Metabolic profiling was performed on a non-target set (40 cases and 40 controls) on UHPLC-Q-TOF/MS and target set (80 MetS patients and 80 healthy controls) on UHPLC-Q-orbitrap MS. Using comprehensive screening and validation workflow, we identified a panel of three metabolites including PC(18:1/P-16:0), PC(o-22:3/22:3), PC(P-18:1/16:1). Our results indicated that the identified biomarkers may improve the risk prediction and provide a novel tool for monitoring of the progression of disease and response to treatment in MetS patients., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Background: Vitamin D status may influence the risk of Insulin resistance related diseases such as Type 2 diabetes (T2DM), metabolic syndrome (MetS), and polycystic ovarian syndrome (PCOS). Several studies have assessed vitamin D receptor (VDR) gene polymorphism in relationship with these diseases; however, results remain inconsistent. Our study was conducted to elucidate whether VDR Gene polymorphisms could predict insulin resistance on a large scale., Methods: A meta-analysis using MEDLINE and EMBASE, was performed up to December 16th, 2016. Studies reporting association of vitamin D gene polymorphism with incident T2DM, MetS and PCOS outcomes were included and sub-group analysis by pigment of skin and latitude were performed., Results: A total of 28 articles based on four gene variation, and comprising 9232 participants with 5193 Insulin resistance related diseases patients were included. No significant associations of the VDR ApaI, BsmI, FokI and TaqI variant with Insulin resistance related diseases were found. However, sub-group analysis analysis showed that PCOS in TaqI (OR = 1.47, 95% CI = 1.03-2.09, P = 0.03) for T allele and MetS for G allele (OR = 1.41, 95% CI = 1.07-1.85, P = 0.01) in BsmI was significant association with VDR gene polymorphism. Simultaneously, sub-group analysis showed VDR ApaI rs7975232(G > T)variant was associated with insulin resistance related diseases in Asians (GG/GT + TT) (OR, 1.62; 95% CI, 1.03-2.53; P = 0.04) and population who lived in middle latitude district (30-60°) (GG/GT + TT) (OR, 1.22; 95% CI, 1.04-1.43; P = 0.02), VDR BsmI rs1544410 (A > G)and VDR Taq1rs731236 (T/C) variant were associated with insulin resistance related diseases in Caucasian (dark-pigmented)., Conclusion: The results suggested that the association between insulin resistance related diseases and VDR ApaI, BsmI, FokI variant was more obvious in dark-pigmented Caucasians and Asians but not in Caucasian with white skin.