2型糖尿病肠道微生物组靶向治疗的血糖参数、炎症标志物和肠道菌群变化:随机对照试验的系统回顾和荟萃分析

IF 5.1
Xin Zhou, Wenbin Zheng, Wen Kong, Jiaoyue Zhang, Yunfei Liao, Jie Min, Tianshu Zeng
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引用次数: 0

摘要

目的:本荟萃分析旨在总结肠道微生物组靶向治疗(MTTs)对2型糖尿病(T2DM)患者糖代谢、炎症因子和肠道微生物群的影响。方法:检索4个数据库,纳入T2DM患者接受MTTs治疗的随机对照试验(RCTs)。所有结果均以标准化平均差(SMD)/MD和95%置信区间(95% ci)表示。此外,根据地区、MTTs类型、益生菌菌株数量、益生菌剂量、益生元剂量、MTTs持续时间、平均年龄和基线体重指数进行亚组分析。结果:共纳入54项随机对照试验,共60组3390名受试者。总体而言,MTTs干预降低了空腹血糖(MD = -7.97 mg/dL, 95%CI =-10.82, -5.12;p <0.00001),餐后2h血糖(MD = -43.30 mg/dL, 95%CI = -75.83, -10.77;p = 0.009)、空腹胰岛素(MD = -1.73 uu /毫升,95% ci = -2.63, -0.84;p = 0.0001),糖化血红蛋白(MD = -0.28%, 95% ci = -0.39, -0.17;p <0.00001)和胰岛素抵抗稳态模型评估(MD =-0.53, 95%CI = -0.85, -0.20;P = 0.0002)。此外,补充MTTs可降低高敏c反应蛋白、肿瘤坏死因子α和脂多糖。同时,白细胞介素-10水平升高。放线菌、乳酸菌和干酪乳杆菌亚群的丰度增加。结论:MTTs可适度改善T2DM患者的糖代谢参数,降低促炎细胞因子,并丰富有益微生物(如放线菌、乳杆菌)。然而,异质性和有限的长期数据突出了大规模随机对照试验的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Glucose Parameters, Inflammation Markers, and Gut Microbiota Changes of Gut Microbiome-Targeted Therapies in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Glucose Parameters, Inflammation Markers, and Gut Microbiota Changes of Gut Microbiome-Targeted Therapies in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Glucose Parameters, Inflammation Markers, and Gut Microbiota Changes of Gut Microbiome-Targeted Therapies in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Glucose Parameters, Inflammation Markers, and Gut Microbiota Changes of Gut Microbiome-Targeted Therapies in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Purpose: This meta-analysis aims to summarize the effects of gut microbiome-targeted therapies (MTTs) on glucometabolic, inflammatory factors and gut microbiota in patients with type 2 diabetes mellitus (T2DM).

Methods: Four databases were searched for randomized controlled trials (RCTs) that included subjects with T2DM who received MTTs. All results were presented as standardized mean difference (SMD) or mean difference (MD) and 95% CIs. In addition, subgroup analyses were performed according to region, type of MTTs, number of probiotic strains, probiotics dose, prebiotics dose, duration of MTTs, mean age, and baseline body mass index.

Results: A total of 54 RCTs were included, encompassing 60 groups and 3390 subjects. Overall, MTTs intervention decreased fasting plasma glucose (MD = -7.97 mg/dL [95% CI = -10.82, -5.12]; P < .00001), 2-hour postprandial blood glucose (MD =  -43.30 mg/dL [95% CI = -75.83, -10.77]; P = .009), fasting insulin (MD = -1.73 uU/mL [95% CI = -2.63, -0.84]; P = .0001), HbA1c (MD = -0.28%, [95% CI = -0.39, -0.17]; P < .00001), and homeostatic model assessment of insulin resistance (MD =-0.53 [95% CI = -0.85, -0.20]; P = .0002). Furthermore, MTTs supplementation reduced high-sensitivity C-reactive protein, tumor necrosis factor alpha, and lipopolysaccharides. Meanwhile, the levels of interleukin-10 were increased. Moreover, the abundance of Actinobacteria, Lactobacillus, and Lactobacillus casei subgroup increased.

Conclusion: MTTs modestly improved glucometabolic parameters, reduced pro-inflammatory cytokines, and enriched beneficial microbes (eg, Actinobacteria, Lactobacillus) in subjects with T2DM. However, heterogeneity and limited long-term data highlight the need for large-scale RCTs.

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