Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting.

IF 10.8 1区 生物学 Q1 GENETICS & HEREDITY
Gelsomina Kaufhold, Theda U P Bartolomaeus, Kristin Schütte, Till Schütte, Sakshi Kamboj, Ulrike Löber, Gabriele Rahn, Victoria McParland, Lena Braun, Lajos Markó, Matanat Mammadli, Alexander Krannich, Lina S Bahr, Friederike Gutmann, Friedemann Paul, Quinten R Ducarmon, Georg Zeller, Robin Mesnage, Nicola Wilck, Alma Zernecke, Peter J Oefner, Wolfram Gronwald, Dominik N Müller, Sofia K Forslund-Startceva, Sylvia Bähring, Hendrik Bartolomaeus, Nadja Siebert
{"title":"Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting.","authors":"Gelsomina Kaufhold, Theda U P Bartolomaeus, Kristin Schütte, Till Schütte, Sakshi Kamboj, Ulrike Löber, Gabriele Rahn, Victoria McParland, Lena Braun, Lajos Markó, Matanat Mammadli, Alexander Krannich, Lina S Bahr, Friederike Gutmann, Friedemann Paul, Quinten R Ducarmon, Georg Zeller, Robin Mesnage, Nicola Wilck, Alma Zernecke, Peter J Oefner, Wolfram Gronwald, Dominik N Müller, Sofia K Forslund-Startceva, Sylvia Bähring, Hendrik Bartolomaeus, Nadja Siebert","doi":"10.1186/s13073-026-01765-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Prolonged fasting may improve metabolic health, but controlled data in healthy adults with longer follow-up and multi-omics profiling are limited. We investigated the immediate and 12-week follow-up effects of a 5-day fasting intervention on body composition, gut microbiome, and circulating and fecal metabolites, and assessed whether baseline characteristics predict individual weight-loss response.</p><p><strong>Methods: </strong>In a randomized, waitlist-controlled trial, 38 healthy adults completed a 5-day fasting intervention with 12-week follow-up (LEANER study). Outcomes included body mass index and body composition, gut microbiome composition, and plasma and fecal metabolites. Changes over time and between groups were evaluated using regression-based models and paired non-parametric tests, as appropriate. Additionally, permutation-based multivariate testing was performed on microbiome and metabolome data. Twelve-week body weight response was predicted using data-driven machine learning with cross-validation, followed by external validation in three independent cohorts undergoing prolonged fasting protocols.</p><p><strong>Results: </strong>Fasting reduced body mass index acutely, predominantly driven by loss of fat mass, and these improvements partially persisted at 12 weeks. Fasting induced marked shifts in gut microbiome composition and in plasma and fecal metabolites. Post-fasting and longer-term changes in microbial diversity were associated with baseline microbiome diversity. A model combining baseline microbiome and clinical variables predicted body mass index response at 12 weeks; prominent predictors included an unclassified Faecalibacterium species, Oscillibacter sp. 50_27, low-density lipoprotein cholesterol, and systolic blood pressure. The model generalized to three independent cohorts, including individuals with metabolic syndrome, patients with multiple sclerosis exposed to repeated fasting, and healthy volunteers fasting for 6-12 days.</p><p><strong>Conclusions: </strong>In healthy adults, a 5-day prolonged fasting intervention produces robust short-term metabolic changes with partial persistence and consistent remodeling of the gut microbiome and metabolite profiles. Baseline microbiome and clinical characteristics can help stratify expected longer-term responses, supporting the development of individualized fasting-based interventions.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov, NCT04452916. Prospectively registered on June 29, 2020.</p>","PeriodicalId":12645,"journal":{"name":"Genome Medicine","volume":"18 1","pages":""},"PeriodicalIF":10.8000,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13587497/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genome Medicine","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s13073-026-01765-0","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Prolonged fasting may improve metabolic health, but controlled data in healthy adults with longer follow-up and multi-omics profiling are limited. We investigated the immediate and 12-week follow-up effects of a 5-day fasting intervention on body composition, gut microbiome, and circulating and fecal metabolites, and assessed whether baseline characteristics predict individual weight-loss response.

Methods: In a randomized, waitlist-controlled trial, 38 healthy adults completed a 5-day fasting intervention with 12-week follow-up (LEANER study). Outcomes included body mass index and body composition, gut microbiome composition, and plasma and fecal metabolites. Changes over time and between groups were evaluated using regression-based models and paired non-parametric tests, as appropriate. Additionally, permutation-based multivariate testing was performed on microbiome and metabolome data. Twelve-week body weight response was predicted using data-driven machine learning with cross-validation, followed by external validation in three independent cohorts undergoing prolonged fasting protocols.

Results: Fasting reduced body mass index acutely, predominantly driven by loss of fat mass, and these improvements partially persisted at 12 weeks. Fasting induced marked shifts in gut microbiome composition and in plasma and fecal metabolites. Post-fasting and longer-term changes in microbial diversity were associated with baseline microbiome diversity. A model combining baseline microbiome and clinical variables predicted body mass index response at 12 weeks; prominent predictors included an unclassified Faecalibacterium species, Oscillibacter sp. 50_27, low-density lipoprotein cholesterol, and systolic blood pressure. The model generalized to three independent cohorts, including individuals with metabolic syndrome, patients with multiple sclerosis exposed to repeated fasting, and healthy volunteers fasting for 6-12 days.

Conclusions: In healthy adults, a 5-day prolonged fasting intervention produces robust short-term metabolic changes with partial persistence and consistent remodeling of the gut microbiome and metabolite profiles. Baseline microbiome and clinical characteristics can help stratify expected longer-term responses, supporting the development of individualized fasting-based interventions.

Trial registration: ClinicalTrials.gov, NCT04452916. Prospectively registered on June 29, 2020.

机器学习识别长时间禁食后持续体重减轻的微生物组和临床预测因素。
背景:长时间禁食可能改善代谢健康,但在健康成人中进行较长时间随访和多组学分析的对照数据有限。我们调查了5天禁食干预对身体成分、肠道微生物群、循环和粪便代谢物的即时和12周随访效果,并评估基线特征是否能预测个体减肥反应。方法:在一项随机、候补对照试验中,38名健康成年人完成了为期5天的禁食干预和12周的随访(LEANER研究)。结果包括体重指数和身体组成、肠道微生物组组成、血浆和粪便代谢物。在适当情况下,使用基于回归的模型和配对非参数检验来评估随时间和组间的变化。此外,对微生物组和代谢组数据进行了基于排列的多变量测试。使用数据驱动的机器学习和交叉验证来预测12周的体重反应,然后在三个独立的队列中进行长期禁食方案的外部验证。结果:禁食显著降低了体重指数,主要是由于脂肪量的减少,这些改善部分持续到12周。禁食引起肠道微生物组成、血浆和粪便代谢物的显著变化。禁食后和长期微生物多样性的变化与基线微生物组多样性相关。一个结合基线微生物组和临床变量的模型预测了12周时的体重指数反应;突出的预测因子包括未分类的Faecalibacterium, Oscillibacter sp. 50_27,低密度脂蛋白胆固醇和收缩压。该模型推广到三个独立的队列,包括代谢综合征患者、反复禁食的多发性硬化症患者和禁食6-12天的健康志愿者。结论:在健康成人中,5天延长禁食干预可产生强大的短期代谢变化,并伴有部分持续性和一致的肠道微生物群和代谢物谱重塑。基线微生物组和临床特征可以帮助分层预期的长期反应,支持个性化禁食干预措施的发展。试验注册:ClinicalTrials.gov, NCT04452916。预计于2020年6月29日注册。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书