Evidence mapPaperPMID 40200054Full record

ArticleNature medicine2025

Microbiome-metabolome dynamics associated with impaired glucose control and responses to lifestyle changes.

Hao Wu, Bomin Lv, Luqian Zhi, Yikai Shao, Xinyan Liu, Matthias Mitteregger, Rima Chakaroun, Valentina Tremaroli, Stanley L Hazen, Ru Wang and 2 more

Abstract read
In one paragraph

Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Reframing obesity through the gut microbiota: functional dysbiosis and metabolic disease.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Mechanistic Insights intoMetabolites · 2026
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Hao WuCenter for Obesity and Hernia Surgery, Department of General Surgery, Huashan Hospital, and State Key Laboratory of Genetic Engineering, Fudan Microbiome Center, Human Phenome Institute, Fudan University, Shanghai, China. hao_w@fudan.edu.cn.ORCID http://orcid.org/0000-0003-1314-4954
Bomin LvCenter for Obesity and Hernia Surgery, Department of General Surgery, Huashan Hospital, and State Key Laboratory of Genetic Engineering, Fudan Microbiome Center, Human Phenome Institute, Fudan University, Shanghai, China.
Luqian ZhiCenter for Obesity and Hernia Surgery, Department of General Surgery, Huashan Hospital, and State Key Laboratory of Genetic Engineering, Fudan Microbiome Center, Human Phenome Institute, Fudan University, Shanghai, China.
Yikai ShaoCenter for Obesity and Hernia Surgery, Department of General Surgery, Huashan Hospital, and State Key Laboratory of Genetic Engineering, Fudan Microbiome Center, Human Phenome Institute, Fudan University, Shanghai, China.
Xinyan LiuCenter for Obesity and Hernia Surgery, Department of General Surgery, Huashan Hospital, and State Key Laboratory of Genetic Engineering, Fudan Microbiome Center, Human Phenome Institute, Fudan University, Shanghai, China.
Matthias MittereggerThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-0703-6415
Rima ChakarounThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Valentina TremaroliThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-9150-4233
Stanley L HazenDepartment of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland, OH, USA.ORCID http://orcid.org/0000-0001-7124-6639
Ru WangSchool of Kinesiology, Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, Shanghai, China.
Göran BergströmThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-4289-5722
Fredrik BäckhedThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. Fredrik@wlab.gu.se.ORCID http://orcid.org/0000-0002-4871-8818

Funding

Diabetesfonden (Stiftelsen Svenska Diabetesförbundets Forskningsfond) DIA2023-800Fondation Leducq Leducq FoundationKnut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) 2017.0026National Natural Science Foundation of China (National Science Foundation of China) 82270582Novo Nordisk Fonden (Novo Nordisk Foundation) NNF15OC0016798Vetenskapsrådet (Swedish Research Council) 2019-01599Wellcome Trust
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a complex disease shaped by genetic and environmental factors, including the gut microbiome. Recent research revealed pathophysiological heterogeneity and distinct subgroups in both T2D and prediabetes, prompting exploration of personalized risk factors. Using metabolomics in two Swedish cohorts (n = 1,167), we identified over 500 blood metabolites associated with impaired glucose control, with approximately one-third linked to an altered gut microbiome. Our findings identified metabolic disruptions in microbiome-metabolome dynamics as potential mediators of compromised glucose homeostasis, as illustrated by the potential interactions between Hominifimenecus microfluidus and Blautia wexlerae via hippurate. Short-term lifestyle changes, for example, diet and exercise, modulated microbiome-associated metabolites in a lifestyle-specific manner. This study suggests that the microbiome-metabolome axis is a modifiable target for T2D management, with optimal health benefits achievable through a combination of lifestyle modifications.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeLife StyleMetabolomeAdultAgedBlood GlucoseCohort StudiesDietExerciseFemaleHumansMaleMetabolomicsMiddle AgedPrediabetic StateBlood Glucose

Identifiers

PMID40200054
PMCPMC12283354

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.