Evidence map›Paper›PMID 42572743›Full record

ArticleJournal of inflammation research2026

Exploring the Association Between Rheumatoid Arthritis and Parkinson's Disease: Evidence from 2001-2016 NHANES, Real-World Clinical Data and Bioinformatics Analysis.

Yan Cheng, Yunzhou Yang, Yong Liu, Hongjiang Zhai, Bo Fang, Mingxiang Song

Abstract read
In one paragraph

Article in Journal of inflammation 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Yan ChengDepartment of Neurology, Lu'an Hospital of Anhui Medical University, Lu'an, 237000, People's Republic of China.
Yunzhou YangDepartment of Neurology, Lu'an Hospital of Anhui Medical University, Lu'an, 237000, People's Republic of China.ORCID 0000-0002-8604-1748
Yong LiuDepartment of Neurology, Lu'an Hospital of Anhui Medical University, Lu'an, 237000, People's Republic of China.
Hongjiang ZhaiDepartment of Neurology, Lu'an Hospital of Anhui Medical University, Lu'an, 237000, People's Republic of China.
Bo FangDepartment of Neurology, Lu'an Hospital of Anhui Medical University, Lu'an, 237000, People's Republic of China.
Mingxiang SongDepartment of Neurology, Lu'an Hospital of Anhui Medical University, Lu'an, 237000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Parkinson's disease (PD) and rheumatoid arthritis (RA) are two common chronic diseases, but the potential links between them and the common molecular mechanisms remain largely unknown. The purpose of this study was to explore the potential association and common genetic signatures between RA and PD. Methods: Based on the data from NHANES 2001-2016 (n=27,215) and real-world clinical setting (n=209), logistic regression analysis was used to evaluate the association between PD and RA. Subsequently, the potential molecular mechanisms linking between PD and RA were explored based on transcriptomic data. Results: Based on data from NHANES and real-world clinical settings, this study confirmed that RA was significantly associated with an increased risk of PD. Based on the transcriptome data, 79 common DEGs and three key genes (GNB2L1, HSPA9, RPA1) were identified. Functional enrichment analysis revealed that common DEGs were significantly enriched in multiple immune-related biological pathways, activation of innate immune response, T cell receptor signaling pathway, and PI3K-Akt signaling pathway. Based on GSVA and GSEA analysis, this study also identified three signaling pathways (MTORC1_SIGNALING, OXIDATIVE_PHOSPHORYLATION and MYC_TARGETS_V1) that may play a key role in the occurrence and development of PD and RA, and are regulated by GNB2L1, HSPA9 and RPA1. Regulatory network analysis identified key miRNAs (for example, hsa-miR-143-3p, hsa-miR-128-3p) and TFs (for example, MYB) that may coregulate these key genes. The nomogram model constructed based on these genes showed favorable predictive performance for both disease. Conclusion: The results of this study showed a significant association between PD and RA. Furthermore, it was revealed that GNB2L1, HSPA9, and RPA1 may have complex regulatory mechanisms in PD and RA, providing new insights into the common molecular basis and therapeutic targets of these two different diseases. Notably, these associative findings from epidemiological and transcriptomic analyses require further experimental validation.

Indexed as

key genesmolecular mechanismNHANESParkinson’s diseaserheumatoid arthritis

Identifiers

PMID42572743
PMCPMC13453426

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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.