Evidence map›Paper›PMID 39578890›Full record

ArticleJournal of ovarian research2024

Gut microbiota and gut-derived metabolites are altered and associated with dietary intake in women with polycystic ovary syndrome.

Thaís Rasia da Silva, Lucas Bandeira Marchesan, Pabulo Henrique Rampelotto, Larisse Longo, Tiago Franco de Oliveira, Rikard Landberg, Vanessa de Mello, Poli Mara Spritzer

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Article in Journal of ovarian research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  9. The Effects ofFood science & nutrition · 2025
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  13. Multi-omics elucidation ofFrontiers in nutrition · 2025
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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

8 authors.

Thaís Rasia da SilvaPostgraduate Program in Endocrinology and Metabolism, School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, 90035-003, Brazil.
Lucas Bandeira MarchesanPostgraduate Program in Endocrinology and Metabolism, School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, 90035-003, Brazil.
Pabulo Henrique RampelottoGenetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, 91501-970, Rio Grande do Sul, Brazil.
Larisse LongoExperimental Laboratory of Hepatology and Gastroenterology, Center for Experimental Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, 90035-003, Rio Grande do Sul, Brazil.
Tiago Franco de OliveiraDepartment of Diagnostic Methods, Universidade Federal de Ciências Médicas de Porto Alegre (UFCSPA), Porto Alegre, 90060-100, Brazil.
Rikard LandbergDepartment of Life Sciences, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Vanessa de MelloDepartment of Clinical Nutrition, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, 70210, Finland.
Poli Mara SpritzerPostgraduate Program in Endocrinology and Metabolism, School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, 90035-003, Brazil. spritzer@ufrgs.br.ORCID http://orcid.org/0000-0002-6734-7688

Funding

Brazilian National Institute of Hormones and Women's Health/Conselho Nacional de Desenvolvimento Científico e Tecnológico CNPq INCT 465482/2014-7Fundação de Apoio à Pesquisa do Estado do Rio Grande do Sul (FAPERGS/ Brazilian National Institute of Hormones and Women's Health/Conselho Nacional de Desenvolvimento Científico e Tecnológico FAPERGS INCT 17/2551-0000519-8
6 · The paper itself

Abstract

backgroundDisturbances in the gut microbiota may act as mechanisms influencing the interplay between dietary factors and metabolic disorders. Studies have demonstrated that these alterations are associated with the diagnosis of polycystic ovary syndrome (PCOS). Within this context, we aimed to investigate associations between gut microbiota, gut-derived metabolites (short-chain fatty acids [SCFAs] and indole-3-propionic acid [IPA]), and dietary intake in women with PCOS.

methodsWe conducted a cross-sectional study of 24 women with PCOS, previously recruited for two studies at our research center, compared with 14 age-matched healthy controls. The mean (SD) age of all 38 participants was 33.3 (7.5) years, and the mean (SD) body mass index was 29.5 (4.8) kg/m

resultsGut microbiota diversity, composition, and metabolic pathways differed between the PCOS and control groups. A higher abundance of two operational taxonomic units specializing in complex carbohydrate metabolism was observed in healthy control women. The PCOS group exhibited a less favorable dietary intake than the control group, and a significant correlation was observed between gut microbiota composition and dietary glycemic load in PCOS (r = 0.314, P = 0.03 in Mantel test). Multivariable-adjusted linear regression models indicated that lower levels of IPA and higher circulating levels of two SCFAs (acetic acid and propionic acid) were independently associated with the diagnosis of PCOS.

conclusionsOur data support the differentiation between women with PCOS and healthy controls based on gut microbiota analysis. Furthermore, changes in gut bacteria and their metabolites could be, at least in part, the biological mechanism by which a low glycemic load diet may potentially improve PCOS-related reproductive and cardiometabolic outcomes.

Indexed as

Gastrointestinal MicrobiomePolycystic Ovary SyndromeAdultCross-Sectional StudiesDietFatty Acids, VolatileFemaleHumansPropionatesFatty Acids, VolatilePropionatesDietGut microbiomeIndole-3-propionic acidPolycystic ovary syndromeShort-chain fatty acids

Identifiers

PMID39578890
PMCPMC11583432

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.