Evidence mapPaperPMID 40707586Full record

ArticleScientific reports2025

Analysis of sex-differential gene expression on the target of approved drug.

Yunha Suh, Jun-Gyu Lee, Kwang-Eun Kim

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

3 authors.

Yunha Suh *Organelle Medicine Research Center, Yonsei University Wonju College of Medicine, Wonju, 26426, Republic of Korea.ORCID http://orcid.org/0009-0005-4730-3660
Jun-Gyu Lee *Organelle Medicine Research Center, Yonsei University Wonju College of Medicine, Wonju, 26426, Republic of Korea.ORCID http://orcid.org/0009-0006-8878-4699
Kwang-Eun KimOrganelle Medicine Research Center, Yonsei University Wonju College of Medicine, Wonju, 26426, Republic of Korea. kekim@yonsei.ac.kr.ORCID http://orcid.org/0000-0002-5355-1979

Funding

National Research Foundation of Korea RS-2022-NR072270
6 · The paper itself

Abstract

Sex is a key piece of patient information but is often not actively considered in drug use. This is partly due to the lack of molecular evidence at the gene expression level beyond sex chromosomes and sex hormones. We aim to investigate how sex differences in tissue-specific gene expression relate to FDA-approved drugs using the latest database of The Genotype-Tissue Expression (GTEx) V10. Our analysis reveals that 91.4% of FDA-approved drug target genes exhibit sex-differential expression in at least one tissue. The tissues with the most pronounced sex differences include subcutaneous adipose tissue, skeletal muscle, and the pituitary gland, while sex differences are less pronounced in the liver, other brain regions, and the spleen. Sex-differential disease-related genes include those associated with obesity (PPARG, INSR), cancer (FGFR1, CD22), and immunity (IL6R, IL3RA). Based on our findings, we advocate for a policy shift that integrates sex-based molecular data into preclinical studies, drug development, and clinical practices. This paradigm aligns biomedical research with precision medicine, mitigates drug-related risks, and promotes equitable healthcare outcomes.

Indexed as

Gene Expression RegulationSex CharacteristicsDrug ApprovalFemaleGene Expression ProfilingHumansMaleOrgan SpecificitySex Factors

Identifiers

PMID40707586
PMCPMC12289949

What Socratic holds

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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.