Evidence map›Paper›PMID 42438819›Full record

ArticleJournal of pain research2026

Inflammatory and Molecular Mechanisms of Adenomyosis Associated Pain: Insights from Multiple Analytic Approaches.

Kanghyun Kwon, Ji Young Kwon, Kisung Sheen, Sanghyeon Yu, Ye-Ah Kim, Eun Hee Yoo, Kiwon Lee, Man S Kim

Abstract read
In one paragraph

Article in Journal of pain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Kanghyun Kwon *Translational-Transdisciplinary Research Center, Clinical Research Institute, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Ji Young Kwon *Department of Obstetrics and Gynecology, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, Republic of Korea.ORCID 0009-0007-5775-0995
Kisung SheenTranslational-Transdisciplinary Research Center, Clinical Research Institute, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Sanghyeon YuTranslational-Transdisciplinary Research Center, Clinical Research Institute, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Ye-Ah KimTranslational-Transdisciplinary Research Center, Clinical Research Institute, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Eun Hee YooDepartment of Obstetrics and Gynecology, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, Republic of Korea.
Kiwon LeeDepartment of Bioscience and Biotechnology, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do, Republic of Korea.
Man S KimCenter for Space Biomedical Science, NEXUS Institute, Kyung Hee University, Yongin-si, Republic of Korea.ORCID 0000-0002-1507-9829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Adenomyosis, a common gynecologic condition of the uterus, affects women with diverse symptoms including pain. Traditionally evaluated pathologically, advanced imaging modality has led to more diagnoses including asymptomatic women. This noninvasive diagnosis has raised questions about disease progression and symptom development. This study aimed to investigate the cellular and molecular patterns associated with adenomyosis and adenomyosis-related pain, focusing on inflammatory processes. We employed an integrative, retrospective bioinformatic design combining publicly available bulk RNA-sequencing data from adenomyotic and control endometrium and myometrium with single-cell RNA-sequencing data from adenomyosis patients stratified by the presence of pain. Patients and Methods: We performed enrichment analysis, gene expression profile analysis with core inflammatory genes, protein-protein network analysis, and cell-cell communication analysis. Results: Activation levels of core inflammation-associated modules revealed elevated inflammatory activity in endometrial tissues compared to myometrial tissues in adenomyosis. Single-cell RNA-seq identified significant upregulation of inflammation modules in cell types such as endothelial, mesenchymal, and NK/T cells, particularly in patients experiencing pain. NK/T cells disclosed co-upregulation in non-canonical inflammatory pathways, implicating them in pain-associated immunity. Also, combinatorial analyses through enrichment analysis and core inflammatory-associated gene expression pattern analysis emphasized key inflammatory genes, including CGAS, TNF, and IL1B, along with pain-specific alterations in DNAJB9, GSTA1, CXCL8, and CXCL3 across cell subpopulations. Additionally, protein-protein interaction (PPI) network analysis identified multipotent stem cells and NK/T cells as key drivers of nociceptive processes, mediated by chemokines such as CCL11 and CXCL13. Moreover, cell-cell communication analysis exhibited pain-associated disruptions in IL-1, estradiol, and 2-AG pathways. Conclusion: These findings underscore the significance of inflammation, mitochondrial immunity, and specific chemokine pathways in the pathophysiology of adenomyosis and its pain. Because the single-cell analyses were based on a small cohort (n = 2 per group), these results should be regarded as hypothesis-generating and require validation in larger, well-characterized cohorts. Understanding these mechanisms could nonetheless help guide the development of targeted therapies to alleviate symptoms and enhance outcomes.

Indexed as

adenomyosisbioinformaticsdysmenorrheainflammatory gene regulationmulti-omics

Identifiers

PMID42438819
PMCPMC13356837

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.