Evidence map›Paper›PMID 40468347›Full record

ArticleJournal of ovarian research2025

Impact of obesity on proteomic profiles of follicular fluid-derived small extracellular vesicles: A comparison between PCOS and non-PCOS women.

Qiyuan Chang, Senlan Wang, Qingyun Mai, Canquan Zhou

Abstract read
In one paragraph

Article in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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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

4 authors.

Qiyuan ChangReproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Senlan WangReproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Qingyun MaiReproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Canquan ZhouReproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. zhoucanquan@mail.sysu.edu.cn.

Funding

Clinical Medical Research of China Medical Sciences - Stem Cell Basic Research Project No: 19020010780Guangdong Provincial Key Laboratory of Reproductive Medicine No: 2020B1212060029Natural Science Found of Guangdong China No: 2019A1515011845the application of single-cell multi-omics technology in assisted reproduction No: 2023B1111020006
6 · The paper itself

Abstract

backgroundPolycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by ovulatory dysfunction, hyperandrogenism, and polycystic ovaries, significantly impacting reproductive health. Obesity, prevalent in 50-80% of PCOS patients, exacerbates metabolic disturbances and negatively influences assisted reproductive technology outcomes. This study investigates how obesity alters the proteomic profile of follicular fluid-derived small extracellular vesicles (FF-sEVs), aiming to elucidate mechanisms underlying reproductive impairments in this population.

methodsThis study included women undergoing in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI), categorized into PCOS and non-PCOS control groups, further divided by BMI. Follicular fluid was collected, and sEVs isolated via ultracentrifugation. Proteomic analysis utilized data-independent acquisition (DIA) technology, with bioinformatics tools applied for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, along with protein-protein interaction (PPI) analysis. Statistical comparisons were performed using Analysis of variance (ANOVA) and t-tests to identify differentially expressed proteins. Correlation analysis assessed relationships between sEV protein profiles and reproductive outcomes, employing the Pearson correlation coefficient.

resultsProteomic profiling of sEVs revealed that the overweight/obese PCOS group had 180 upregulated and 256 downregulated proteins compared to lean counterparts. Additionally, differential functional analysis and PPI analysis indicated significant pathway and key proteins alterations in the PCOS group related to inflammation, while non-PCOS women demonstrated metabolic reprogramming and anti-inflammatory responses, suggesting a differential response to obesity that may preserve oocyte quality. Correlation analysis revealed significant associations between specific differentially expressed proteins and IVF/ICSI outcomes, while a protective role for Heat Shock Protein 90 Beta Family Member 1 (HSP90B1) protein was observed in the non-PCOS group. Lastly, validation through Western blot confirmed critical protein expression changes, particularly for S100 Calcium-binding Protein A8 (S100A8), emphasizing the impact of obesity on reproductive health outcomes in PCOS patients.

conclusionsIn conclusion, our findings indicate that obesity exacerbates inflammation and oxidative stress in PCOS women, adversely affecting oocyte development and IVF/ICSI outcomes. In contrast, non-PCOS women exhibit protective metabolic and inflammatory adaptations. These insights underscore the necessity for tailored fertility management approaches, including weight loss strategies and specific interventions for PCOS patients, to optimize reproductive outcomes and enhance pregnancy success rates.

Indexed as

Extracellular VesiclesFollicular FluidObesityPolycystic Ovary SyndromeProteomeProteomicsAdultFemaleFertilization in VitroHumansProteomeAssisted reproductive technologyFollicular fluidObesityPolycystic ovary syndromeProteomic analysisSmall extracellular vesicles

Identifiers

PMID40468347
PMCPMC12139174

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.