Evidence map›Paper›PMID 39714075›Full record

ArticleGut microbes2025

Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss.

Matthieu Minty, Alberic Germain, Jiuwen Sun, Gracia Kaglan, Florence Servant, Benjamin Lelouvier, Emiri Misselis, Radu Mircea Neagoe, Menghini Rossella, Marina Cardellini and 4 more

Abstract read
In one paragraph

Article in Gut microbes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. 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

14 authors.

Matthieu MintyInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France.
Alberic GermainInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France.
Jiuwen SunInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France.
Gracia KaglanInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France.
Florence ServantVAIOMER, Microbiome, Labège, France.
Benjamin LelouvierVAIOMER, Microbiome, Labège, France.
Emiri MisselisInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France.
Radu Mircea NeagoeScience and Technology "George Emil Palade" Tîrgu Mures, Second Department of Surgery, Emergency Mureş County Hospital, University of Medicine Pharmacy, Târgu Mureș, Romania.
Menghini RossellaDepartment of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Marina CardelliniDepartment of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
Rémy BurcelinInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France.
Massimo FedericiDepartment of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
José Manuel Fernandez-RealDepartment of Diabetes, Endocrinology and Nutrition, University Hospital of Girona 'Dr Josep Trueta'.
Vincent Blasco-BaqueInstitut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent sets of evidence have described profiles of 16S rDNA sequences in host tissues, notably in fat pads that are significantly overrepresented and can serve as signatures of metabolic disease. However, these recent and original observations need to be further detailed and functionally defined. Here, using state-of-the-art targeted DNA sequencing and discriminant predictive approaches, we describe, from the longitudinal FLORINASH cohort of patients who underwent bariatric surgery, visceral, and subcutaneous fat pad-specific bacterial 16SrRNA signatures. The corresponding

Indexed as

BacteriaBariatric SurgeryDNA, BacterialObesityRNA, Ribosomal, 16SWeight LossAdipose TissueAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedDNA, BacterialRNA, Ribosomal, 16Sadipose fat padsBariatric surgeryfunctional metagenomictissue microbiota

Identifiers

PMID39714075
PMCPMC12931691

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.