Evidence mapPaperPMID 41576942Full record

ReviewCell reports. Medicine2026

Gut microbiome and obesity care: Bridging dietary, surgical, and pharmacological interventions.

Davide Masi, Mikiko Watanabe, Karine Clément

Abstract readReview
In one paragraph

Review in Cell reports. Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Reframing obesity through the gut microbiota: functional dysbiosis and metabolic disease.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Review
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

3 authors.

Davide MasiSorbonne Université, Inserm, Nutrition and Obesities: Systemic Approaches, NutriOmics Research Unit, 75013 Paris, France; Sapienza University of Rome, Department of Experimental Medicine, Section of Medical Physiopathology, Food Science and Endocrinology, 00161 Rome, Italy.
Mikiko WatanabeSapienza University of Rome, Department of Experimental Medicine, Section of Medical Physiopathology, Food Science and Endocrinology, 00161 Rome, Italy.
Karine ClémentSorbonne Université, Inserm, Nutrition and Obesities: Systemic Approaches, NutriOmics Research Unit, 75013 Paris, France; Assistance Publique Hôpitaux de Paris, Nutrition Department Pitié-Salpêtrière Hospital, 75013 Paris, France. Electronic address: karine.clement@inserm.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the mid-2000s, mouse studies suggested that the gut microbiome might influence energy harvest, fat storage, appetite, insulin sensitivity, and inflammation. Since then, our understanding of the gut microbiome's role in obesity has advanced significantly. Mechanistic studies identified microbial metabolites, such as short-chain fatty acids, bile acids, branched-chain amino acids, tryptophan catabolites, and imidazole propionate, as key modulators of metabolism, inflammation, and gut-brain communication. Metagenomic and multi-omics technologies now provide deeper insights into the intricate interactions between microbes, metabolites, and host factors, reshaping obesity research and reinforcing the need for phenotype stratification by recognizing microbiome-driven metabolic profiles. Integrating gut microbiome data into clinical strategies may enable targeted interventions for specific obesity subtypes, advancing prevention and personalized care. However, as new anti-obesity medications emerge, it is imperative to determine how microbiome-based therapies can complement them, considering efficacy, cost, and patient-specific variability.

Indexed as

DietGastrointestinal MicrobiomeObesityAnimalsHumansMultiomicsgut microbiomeincretin-based therapymetabolismmetagenomicsobesity

Identifiers

PMID41576942
PMCPMC12923917

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.