Early changes in the gut microbiota are associated with weight outcomes over 2 years following metabolic and bariatric surgery

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Obesity Pub Date : 2024-11-05 DOI:10.1002/oby.24168
Kristine J. Steffen, Alicia A. Sorgen, Anthony A. Fodor, Ian M. Carroll, Ross D. Crosby, James E. Mitchell, Dale S. Bond, Leslie J. Heinberg
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Abstract

Objective

Metabolic and bariatric surgery (MBS) is associated with substantial, but variable, weight outcomes. The gut microbiome may be a factor in determining weight trajectory, but examination has been limited by a lack of longitudinal studies with robust microbiome sequencing. This study aimed to describe changes in the microbiome and associations with weight outcomes more than 2 years post surgery.

Methods

Data were collected at two Midwestern U.S. centers. Adults undergoing primary MBS were assessed before and 1, 6, 12, 18, and 24 months after surgery. BMI and metagenomic sequencing occurred at each assessment. A linear growth mixture model determined class structure for weight trajectory.

Results

A linear growth mixture model of participants (N = 124) revealed a two-class structure; one class had greater sustained weight loss relative to the other. Greater genus-level taxonomic changes in the microbiome composition at each time point were associated with being in the more favorable weight trajectory class, after controlling for surgery type. Higher Proteobacteria relative abundance at 1 month was predictive of percentage weight change at 6, 12, 18, and 24 months (p < 0.05 for all).

Conclusions

Greater genus-level taxonomic changes in the gut microbiota are associated with improved weight trajectory. Early changes in the gut microbiota may be an important indicator of MBS outcomes and durability.

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肠道微生物群的早期变化与代谢和减肥手术后两年内的体重结果有关。
目的:代谢和减肥手术(MBS)与大量但多变的体重结果有关。肠道微生物组可能是决定体重轨迹的一个因素,但由于缺乏对微生物组进行可靠测序的纵向研究,对其进行的研究受到了限制。本研究旨在描述微生物组的变化以及与术后两年以上体重结果的关联:方法:在美国中西部的两个中心收集数据:方法:在美国中西部的两个中心收集数据:对接受初级 MBS 的成人进行术前和术后 1、6、12、18 和 24 个月的评估。每次评估都进行体重指数和元基因组测序。线性生长混合模型确定了体重轨迹的等级结构:结果:参与者(N = 124)的线性生长混合模型显示出两类结构;一类相对于另一类有更大的持续体重减轻。在控制手术类型后,每个时间点微生物组组成中更大的属级分类变化与体重轨迹更有利的类别相关。1个月时较高的蛋白质细菌相对丰度可预测6、12、18和24个月时的体重变化百分比(p 结论:1个月时较高的蛋白质细菌相对丰度可预测6、12、18和24个月时的体重变化百分比:肠道微生物群中更大的属级分类变化与体重轨迹的改善有关。肠道微生物群的早期变化可能是衡量 MBS 效果和持久性的重要指标。
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来源期刊
Obesity
Obesity 医学-内分泌学与代谢
CiteScore
11.70
自引率
1.40%
发文量
261
审稿时长
2-4 weeks
期刊介绍: Obesity is the official journal of The Obesity Society and is the premier source of information for increasing knowledge, fostering translational research from basic to population science, and promoting better treatment for people with obesity. Obesity publishes important peer-reviewed research and cutting-edge reviews, commentaries, and public health and medical developments.
期刊最新文献
Issue Information Cardiometabolic characteristics of weight cycling: results from a mid-South regional comprehensive health care system Early changes in the gut microbiota are associated with weight outcomes over 2 years following metabolic and bariatric surgery In silico and functional analysis identifies key gene networks and novel gene candidates in obesity-linked human visceral fat Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns
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