Evidence map›Paper›PMID 40874258›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Characterization of Muscle Tissue Cell Diversity and Clinical Implications in Idiopathic Inflammatory Myopathy.

Honglin Zhu, Yizhi Xiao, Shasha Xie, Qiming Meng, Ting Ding, Ting Huang, Di Liu, Sijia Liu, Xiaoli Zhang, Huali Zhang and 1 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

11 authors.

Honglin ZhuDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0000-0001-8724-2835
Yizhi XiaoDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Shasha XieDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qiming MengDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ting DingDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ting HuangDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Di LiuDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Sijia LiuDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiaoli ZhangDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Huali ZhangDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hui LuoDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

Chinese National Key Technology R&D Program, Ministry of Science and Technology 2024YFC2510300Hunan Provincial Natural Science Foundation 2021JJ31083Hunan Provincial Natural Science Foundation 2022JJ30993National Natural Science Foundation of China 82471840National Natural Science Foundation of China 82471842
6 · The paper itself

Abstract

backgroundIdiopathic inflammatory myopathies (IIMs) exhibit diverse cellular microenvironments in muscle tissues, yet the full spectrum of cell populations and changes remains unclear. This study aimed to characterize cellular heterogeneity, explore cell-cell interactions and assess the prognostic value of cell subtype abundances across IIM subtypes in Han Chinese.

methodsMuscle samples from six IIMs and three normal controls (NC) underwent single-cell RNA sequencing (scRNA-seq), whereas bulk RNA sequencing was performed on 203 IIMs and 19 NC. To avoid potential biases in cell proportion data from scRNA-seq, we used CIBERSORTx, a robust deconvolution method, to estimate cell subtype abundances in the large IIMs cohort. Cell-cell interaction, correlation and survival analysis were performed to investigate associations between cell subtypes, clinical features and disease progression.

resultsWe identified 10 T/NK cell types, eight monocyte/macrophage/dendritic cell types, 10 vascular-related cell types and four skeletal muscle cell types in IIM muscle tissues, with varying abundances across subgroups. Increased ISG

conclusionsOur findings reveal significant shifts in cell subpopulations within IIM muscle tissues, which may contribute to muscle damage and influence disease outcomes.

Indexed as

Muscle, SkeletalMyositisAdultFemaleHumansMaleMiddle AgedPrognosiscellular heterogeneitydisease outcomeidiopathic inflammatory myopathiesscRNA sequencing

Identifiers

PMID40874258
PMCPMC12391830

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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.