Preliminary Study of the Distinctive Mechanism of Shenqi Compound in Treating Rats with Type 2 Diabetes Mellitus by Comparing with Metformin.

BACKGROUND: In China, traditional Chinese medicine (TCM) has been used to treat type 2 diabetes mellitus (T2DM) for centuries. METHODS: To investigate how the TCM ShenQi (SQC) formulation differs from metformin, four rat groups, including control, model, T2DM rats treated using SQC (SQC group), and T2DM rats treated using metformin (Met group), were constructed. The differentially expressed genes (DEGs) between SQC and metformin groups were screened, and the co-expression modules of the DEGs were constructed based on the weighted correlation network analysis (WGCNA) method. The correlation between modules and metabolic pathways was also calculated. The potential gene targets of SQC were obtained via the TCM systems pharmacology analysis. RESULTS: A total of 962 DEGs between SQC and Met groups were screened, and these DEGs were significantly enriched in various functions, such as sensory perception of the chemical stimulus, NADH dehydrogenase (ubiquinone) activity, and positive regulation of the fatty acid metabolic process. In addition, seven co-expression modules were constructed after the redundancy-reduced process. Four of these modules involved specific activated or inhibited metabolic pathways. Moreover, 334 effective ingredients of SQC herbs were collected, and four genes (RNASE1 (ribonuclease A family member 1, pancreatic), ADRB1 (adrenoceptor beta 1), PPIF (peptidylprolyl isomerase F), and ALDH1B1 (aldehyde dehydrogenase 1 family member B1)) were identified as potential targets of SQC. CONCLUSION: Comparing SQC with metformin to treat T2DM rats revealed several potential gene targets. These genes provide clues for elucidating the therapeutic mechanisms of SQC.

Antioxidant and Anti-inflammatory Properties of Resveratrol in Diabetic Nephropathy: A Systematic Review and Meta-analysis of Animal Studies.

Background: Accumulated experimental evidence suggests that resveratrol may have an effect on diabetic nephropathy by inhibiting inflammation and decreasing oxidative stress. However, the credibility of the evidence for this practice is unclear. Thus, we aimed to perform a systematic review and meta-analysis of animal studies to evaluate the antioxidant and anti-inflammatory properties of resveratrol when used in the treatment of diabetic nephropathy. Methods: Electronic bibliographic databases including PubMed, EMBASE, and Web of Science were searched for relevant studies. The methodological quality of animal studies was assessed based on the SYstematic Review Center for Laboratory animal Experimentation Risk of Bias (SYRCLE's RoB) tool. A meta-analysis was performed based on the Cochrane Handbook for Systematic Reviews of Interventions by using RevMan 5.4 software. This study was registered within International Prospective Register of Systematic Reviews (PROSPERO) as number CRD42021293784. Results: Thirty-six qualified studies involving 726 animals were included. There was a significant association of resveratrol with the levels of blood glucose (BG), serum creatinine (Scr), blood urea nitrogen (BUN), catalase (CAT), superoxide dismutase (SOD), malondialdehyde (MDA), glutathione (GSH), glutathione peroxidase (GPx), and interleukin-1ß (IL-1ß). Nevertheless, resveratrol treatment did not effectively decrease the levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6). In addition, more remarkable antioxidant and hypoglycemic effects were observed in type 2 diabetic nephropathy rather than in type 1 diabetic nephropathy based on subgroup analysis. Conclusion: In this meta-analysis, resveratrol can exert its antioxidant activities by reducing the levels of MDA and recovering the activities of SOD, CAT, GSH, and GPx. With regard to pro-inflammatory cytokines, resveratrol had a positive effect on the reduction of IL-1ß. However, the analysis indicated that resveratrol had no effect on IL-6 and TNF-α levels, probably because of the methodological quality of the studies and their heterogeneity. Current evidence supports the antioxidant and anti-inflammatory properties of resveratrol, but its relationship with the levels of some inflammatory cytokines such as IL-6 and TNF-α in animals with diabetic nephropathy needs further elucidation.

Exploration of SQC Formula Effect on Type 2 Diabetes Mellitus by Whole Transcriptome Profile in Rats.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease that has turned out to be a pandemic all over the world. In China, some traditional Chinese herbal formulas have enjoyed a high reputation in T2DM treatment for centuries. METHODS: In this study, ShenQi compound (SQC) is proposed, a formula that has been performed on T2DM clinical therapeutics in China for many years. The efficacy of SQC in a diabetic rat model by measuring food and water intake and examining islet microcirculatory index involves islets microvessel quantity and density, islets size, pancreatic microvascular wall thickness is evaluated. Meanwhile, gene microarray experiments were performed to explore the molecular mechanism of SQC treatment. In addition, a western medicine, metformin, was employed as a comparison. RESULTS: The results indicated that SQC could effectively improve polydipsia, polyphagia and weight loss caused by diabetes as well as pancreatic tissue damage and vascular injury for T2DM. Meanwhile, the gene microarray experiments indicated that SQC may improve the T2DM by affecting the biological functions related to detection of chemical stimulus involved in sensory perception of smell, G-protein coupled receptor signaling pathway, cytoplasmic translation. In addition, SQC presented curative effect by the regulated function associated with translation, while metformin presented curative effect by the regulated function associated coagulation. CONCLUSION: SQC is an effective therapeutic drug on T2DM, and presents curative effect by regulated function associated with translation.

Evaluation of walking exercise on glycemic control in patients with type 2 diabetes mellitus: A protocol for systematic review and meta-analysis of randomized cross-over controlled trials.

INTRODUCTION: Hyperglycemia is closely associated with the occurrence of diabetic complications, especially for patients with type 2 diabetes mellitus. Clinical trials indicated that walking exercise could improve glycemic control in patients with type 2 diabetes mellitus, but it is difficult to draw definitive and reliable conclusions due to the small sample size and possible exaggerated efficacy of various individual clinical trials. Therefore, we will conduct systematic review and meta-analysis to assess the current evidence for the efficacy of walking on glycemic control. METHODS AND ANALYSIS: The databases of PubMed, EMBASE, Web of Science and Cochrane Library will be searched for this review. Cochrane risk-of-bias assessment tool will be applied to assess the risk of bias of included studies. A meta-analysis will be performed according to the Cochrane Handbook for Systematic Reviews of Interventions by using RevMan 5.3 and STATA/SE 14.0 software. Subgroup analysis will be conducted to investigate the sources of heterogeneity. Sensitivity analysis will be performed to assess the reliability and stability of the meta-analysis. Publication bias and small-study effects will be evaluated by a funnel plot and Eggers test if there are at least 10 studies. Additionally, the quality of evidence for this review will be assessed by Grades of Recommendations Assessment, Development and Evaluation (GRADE). RESULTS: This systematic review and meta-analysis will be to assess the efficacy of walking exercise on glycemic control. CONCLUSION: We will provide strong evidence to determine whether walking can improve glycemic control in patients with type 2 diabetes mellitus. This study is supposed to provide references for clinical trials and patients with type 2 diabetes mellitus. ETHICS AND DISSEMINATION: This study does not require ethical approval. The results of this review will be published in a peer reviewed journal. INPLASY REGISTRATION NUMBER: INPLASY202090046.