Evidence map›Paper›PMID 40389209›Full record

ArticleEndocrinology and metabolism (Seoul, Korea)2025

Exploring Sex Differences in Type 2 Diabetes via a Male-Dominant Beta-Cell Cluster from Single-Cell Pancreatic Sequencing of Public Datasets.

Nguyen Van Anh, Hyo-Wook Gil, Samel Park, Seongho Ryu

Abstract read
In one paragraph

Article in Endocrinology and metabolism (Seoul, Korea), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Nguyen Van AnhSoonchunhyang Institute of Medi-bio Science (SIMS), Soonchunhyang University, Cheonan, Korea.
Hyo-Wook GilDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Samel ParkDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Seongho RyuSoonchunhyang Institute of Medi-bio Science (SIMS), Soonchunhyang University, Cheonan, Korea.

Funding

Basic Science Research ProgramBio and Medical Technology Development Program 2019M3E5D3073092Ministry of Science and ICT RS-2023-00219563National Research Foundation of Korea 2021R1A2C3012633Soonchunhyang University
6 · The paper itself

Abstract

backgruoundType 2 diabetes is a complex metabolic disorder characterized by insulin resistance and progressive beta-cell dysfunction. Although sex differences in type 2 diabetes prevalence, progression, and complications have been reported, the molecular mechanisms underlying these differences remain largely unknown. We aimed to utilize single-cell RNA sequencing to identify a beta-cell cluster that is more prevalent in males than in females and exhibits distinct gene expression patterns, gene set enrichment profiles, and cell-cell communication compared to other clusters.

methodsFASTQ files from four public datasets were preprocessed, aligned to the human genome (GRCh38), and integrated into a high-quality matrix to mitigate batch effects. We focused on beta-cells from type 2 diabetes patients, performed trajectory inference to identify clusters, and conducted differential gene expression and gene set enrichment analyses. These findings were validated using bulk RNA-seq datasets. Additionally, cell-cell communication analysis was performed to identify ligand-receptor interactions, followed by a sensitivity analysis to assess sex-specific differences.

resultsWe identified a male-dominant beta-cell cluster (adjusted P value=4.2×10-6) that displayed unique gene expression patterns and downregulation of pathways associated with protein metabolism and insulin synthesis. Differentially expressed genes (e.g., interleukin 24 [IL24], regulator of G protein signaling like 1 [RGSL1]) were confirmed through bulk analysis. Moreover, the cluster demonstrated distinct communication patterns with other cell types, underscoring sex-specific differences.

conclusionWe have identified a male-dominant beta-cell cluster characterized by distinct gene expression, signaling pathways, and cell interactions. These findings provide insights into the pathophysiology of type 2 diabetes and may inform the development of more effective, sex-specific therapeutic strategies in the future.

Indexed as

Diabetes Mellitus, Type 2Insulin-Secreting CellsSex CharacteristicsCell CommunicationFemaleGene Expression ProfilingHumansMaleSequence Analysis, RNASex FactorsSingle-Cell AnalysisBeta-cell clusterDiabetes mellitus, type 2Single-cell gene expression analysis

Identifiers

PMID40389209
PMCPMC12602021

What Socratic holds

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LicenceCC BY-NC
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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.