Evidence map›Paper›PMID 40114027›Full record

ArticleNature medicine2025

Single-cell profiling of the human endometrium in polycystic ovary syndrome.

Gustaw Eriksson, Congru Li, Tina Gorsek Sparovec, Anja Dekanski, Sara Torstensson, Sanjiv Risal, Claes Ohlsson, Angelica Lindén Hirschberg, Sophie Petropoulos, Qiaolin Deng and 1 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 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed, 1 synthesis or guideline 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

11 authors.

Gustaw Eriksson *Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0120-9028
Congru Li *Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7023-5962
Tina Gorsek SparovecDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8911-0123
Anja DekanskiDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0009-0000-0148-4201
Sara TorstenssonDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4389-2662
Sanjiv RisalDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-1723-5431
Claes OhlssonDepartment of Drug Treatment, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-9633-2805
Angelica Lindén HirschbergDepartment of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-6481-6277
Sophie PetropoulosDepartment of Clinical Science, Intervention and Technology, Division of Obstetrics/Gynecology, Karolinska Institutet, Stockholm, Sweden. sophie.petropoulos@umontreal.ca.ORCID http://orcid.org/0000-0003-2293-8238
Qiaolin DengDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden. qiaolin.deng@ki.se.ORCID http://orcid.org/0000-0001-5934-7816
Elisabet Stener-VictorinDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden. Elisabet.stener-victorin@ki.se.ORCID http://orcid.org/0000-0002-3424-1502

Funding

Diabetesförbundet (Svenska Diabetesförbundet) DIA2021-633, DIA2022-708 and DIA2024-860Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) 2019.0211Novo Nordisk Fonden (Novo Nordisk Foundation) NNF22OC0072904, NNF19OC0056647 and NNF18OC0033992Vetenskapsrådet (Swedish Research Council) 2016-01919Vetenskapsrådet (Swedish Research Council) 2017-02051 and 2021-0855Vetenskapsrådet (Swedish Research Council) 2020-00253Vetenskapsrådet (Swedish Research Council) 2022-00550
6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) has a negative effect on the receptivity of the endometrium to embryo implantation and increases the risk of miscarriage and endometrial cancer. The cellular and molecular heterogeneity of the endometrium in women with PCOS has not been well studied. Our study presents a comprehensive cellular atlas of the endometrium during the proliferative phase in women with PCOS characterized by overweight and obesity, hyperandrogenism and insulin resistance compared with controls of similar age, weight and body mass index. Analysis of 247,791 isolated endometrial nuclei from 27 biopsies (5 controls and 12 PCOS cases at baseline and 7 after 16 weeks of metformin and 3 after lifestyle intervention) revealed cell-type-specific disease signatures and variations in cellular composition and localization. Samples taken after 16 weeks of metformin treatment and lifestyle management showed extensive recovery of disease-specific endometrial signatures. We linked the specific role of each cell type to clinical features such as hyperandrogenism and insulin resistance, and specific cell types to risk of endometrial and metabolic disease. In addition, potential therapeutic targets such as integrin inhibitors were identified and the role of metformin in restoring endometrial health in patients with PCOS was highlighted. Our findings lay the groundwork to significantly advance the understanding of PCOS-specific endometrial dysfunction for future targeted therapies.

Indexed as

EndometriumPolycystic Ovary SyndromeSingle-Cell AnalysisAdultFemaleHumansHyperandrogenismInsulin ResistanceMetforminObesityMetformin

Identifiers

PMID40114027
PMCPMC12176659

What Socratic holds

Texttitle and abstract
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.