Evidence map›Paper›PMID 40016536›Full record

ArticleCellular and molecular neurobiology2025

Single-Cell Analysis of Sex and Gender Differences in the Human Brain During Development and Disease.

Aura Zelco, Anagha Joshi

Abstract read
In one paragraph

Article in Cellular and molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
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

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

4 citing papers in PubMed.

  1. Review
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  3. Article
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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

2 authors.

Aura ZelcoDepartment of Clinical Science, Computational Biology Unit, University of Bergen, Bergen, Norway. aura.zelco@uib.no.ORCID http://orcid.org/0000-0002-5851-6355
Anagha JoshiDepartment of Clinical Science, Computational Biology Unit, University of Bergen, Bergen, Norway. anagha.joshi@uib.no.ORCID http://orcid.org/0000-0003-1184-3305

Funding

Bergen Research Foundation Grant BFS2017TMT01
6 · The paper itself

Abstract

Sex and gender (SG) differences in the human brain are of interest to society and science as numerous processes are impacted by them, including brain development, behavior, and diseases. By collecting publicly available single-cell data from the in-utero to elderly age in healthy, Alzheimer's disease and multiple sclerosis samples, we identified and characterized SG-biased genes in ten brain cell types across 9 age and disease groups. Sex and gender differences in the transcriptome were present throughout the lifespan and across all cell types. Although there was limited overlap among SG-biased genes across different age and disease groups, we observed significant functional overlap. Female-biased genes are consistently enriched for brain-related processes, while male-biased genes are enriched for metabolic pathways. Additionally, mitochondrial genes showed a consistent female bias across cell types. We also found that androgen response elements (not estrogen) were significantly enriched in both male- and female-biased genes, and thymosin hormone targets being consistently enriched only in male-biased genes. We systematically characterised SG differences in brain development and brain-related disorders at a single-cell level, by analysing a total of publicly available 419,885 single nuclei from 161 human brain samples (72 females, 89 males). The significant enrichment of androgen (not estrogen) response elements in both male- and female-biased genes suggests that androgens are important regulators likely establishing these SG differences. Finally, we provide full characterization of SG-biased genes at different thresholds for the scientific community as a web resource.

Indexed as

BrainSex CharacteristicsSingle-Cell AnalysisAdultAgedAged, 80 and overAlzheimer DiseaseFemaleHumansMaleMiddle AgedTranscriptomeBrain developmentData integrationHuman brainSex and gender differencesSingle-nucleus RNA-seqTranscriptome

Identifiers

PMID40016536
PMCPMC11868228

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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.