Evidence map›Paper›PMID 40524902›Full record

ArticleNature and science of sleep2025

Transcriptomic Changes and Pathological Mechanisms in Familial and Sporadic Idiopathic Restless Legs Syndrome: Implications for Inflammation and Cell Adhesion Molecules.

Xin-Rong He, Jia-Min Song, Jia-Peng Zhao, Jing Zhang, Jing-Tao Feng, Shu-Qin Chen, Zhi-Yuan Zhou, Hong-Ming Wang, Yue Zhang, Ya Feng and 2 more

Abstract read
In one paragraph

Article in Nature and science of sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Xin-Rong He *Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.ORCID 0009-0000-4578-2892
Jia-Min Song *Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
Jia-Peng ZhaoDepartment of Orthopedics, Yongxiu County Traditional Chinese Medicine Hospital in Jiujiang City, Jiangxi, 330304, People's Republic of China.
Jing ZhangDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
Jing-Tao FengDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
Shu-Qin ChenCommunity Health Service Center, Ouyang Road District, Hongkou District, Shanghai, 200080, People's Republic of China.
Zhi-Yuan ZhouDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
Hong-Ming WangDepartment of Clinical Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
Yue ZhangDepartment of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Ya FengDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
Yun-Cheng WuDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
Xiao-Ying ZhuDepartment of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Individuals affected by restless legs syndrome (RLS) tend to have familial predispositions without fully explained by genetic variants, and transcriptomic analysis may help elucidate the pathogenic mechanisms of RLS. The study aims to investigate transcriptomic changes and underlying pathological mechanisms in familial and sporadic idiopathic RLS to uncover potential contributors to its pathogenesis. Patients and Methods: This study included 37 RLS patients, 39 unrelated healthy controls and 19 healthy relatives of RLS patients with a positive family history. Messenger RNA (mRNA) extracted from the peripheral blood mononuclear cells of these participants was analyzed via next-generation sequencing, followed by GO and KEGG pathway analyses. Differentially expressed mRNAs were validated by RT-qPCR in a subset of patients and controls. The relationships between the expression levels and clinical indices were evaluated via correlation analysis. Results: After comparing with unrelated healthy controls and excluding genes with similar expression patterns in familial healthy controls, we identified nine upregulated and 28 downregulated mRNAs specifically in RLS patients. GO enrichment analysis indicated that these mRNAs are involved in protein binding and catalytic activity. KEGG analysis revealed that inflammation-related signaling pathways and cell adhesion molecules (CAMs) may be associated with RLS. Three specific mRNAs, including SPARCL1, CCL8 and SELE, demonstrated notably downregulated expression in RLS patients and were subsequently validated in a subset of 10 patients and 19 healthy controls. Conclusion: This study revealed differentially expressed SPARCL1, CCL8 and SELE in RLS patients, indicating the potential involvement of inflammatory pathways and CAMs in RLS pathogenesis. These findings further support the association between RLS, inflammation, and synaptic transmission, providing insights into potential diagnostic and therapeutic strategies targeting these pathways.

Indexed as

bioinformaticsinflammationmessage-RNA sequencingperipheral blood mononuclear cellsrestless legs syndrometranscriptomics

Identifiers

PMID40524902
PMCPMC12168914

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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.