Novel Insights Into the Association Between Parkinson's Disease and Constipation: Role of SHMT2 as a Promising Biomarker.
Overview
- The Department of Neurology, The Eighth Affiliated Hospital, Sun Yat‐Sen University, Shenzhen, China
- The Department of Neurology, Sun Yat‐Sen Memorial Hospital, Sun Yat‐Sen University, Guangzhou, China
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat‐Sen University, Shenzhen, China
Abstract
Aims: We aimed to investigate the shared molecular pathways between Parkinson's disease (PD) and constipation using bioinformatics analysis.
Methods: Differentially expressed genes (DEGs) were identified via the R limma package, and Weighted Gene Co‐Expression Network Analysis (WGCNA) was conducted to identify hub modules. Biological enrichment analysis clarified the biological processes involved. A gene–gene interaction (GGI) network was constructed to identify shared hub biomarkers. Validation of these biomarkers was done in vitro with α‐synuclein (α‐syn)‐treated SH‐SY5Y cells and in vivo through α‐syn‐induced PD mouse models, A53T transgenic mice, and loperamide‐induced constipation models.
Results: Numerous DEGs were identified in both conditions, with 14 shared DEGs found through the intersection of core modules and upregulated DEGs. These DEGs are primarily involved in energy metabolism, protein modification, and mitochondrial function. Five key hub genes were identified using the GGI network and gene topological analysis. Notably, Serine hydroxymethyltransferase
Conclusion: Our findings offer new views on the molecular link between PD and constipation, suggesting SHMT2 as a possible biomarker and therapeutic target for PD symptoms.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Data
Datasets cited
- geo:GSE205450 — at NCBI GEO; found in the text, “Identification of Differentially Expressed…”
Other data links
- ncbi.nlm.nih.gov/
geo — NCBI; found in the text, “Data Collection”
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 5 keywords, 12 MeSH terms, 2 funders, 36 references.
Cite
This paper
Su, J., Huang, K., Jing, X., Liu, X., Wen, C., Geng, R., Lai, Z., Ruan, Z., Zhan, Y., Lin, D., & Tao, E. (2026). Novel Insights Into the Association Between Parkinson's Disease and Constipation: Role of SHMT2 as a Promising Biomarker. CNS neuroscience & therapeutics, 32(5), e70912. https://
BibTeX
@article{su2026novel,
author = {Su, Jiehua and Huang, Kaixun and Jing, Xiuna and Liu, Xiaohuan and Wen, Cheng and Geng, Rulin and Lai, Zhuoying and Ruan, Zhijia and Zhan, Yiqiang and Lin, Danyu and Tao, Enxiang},
title = {{Novel Insights Into the Association Between Parkinson's Disease and Constipation: Role of SHMT2 as a Promising Biomarker}},
journal = {CNS neuroscience \& therapeutics},
year = {2026},
month = may,
volume = {32},
number = {5},
pages = {e70912},
publisher = {Wiley},
issn = {1755-5930},
doi = {10.1002/
url = {https://
pmid = {42076895},
pmcid = {PMC13136694}
}
RIS
TY - JOUR
AU - Su, Jiehua
AU - Huang, Kaixun
AU - Jing, Xiuna
AU - Liu, Xiaohuan
AU - Wen, Cheng
AU - Geng, Rulin
AU - Lai, Zhuoying
AU - Ruan, Zhijia
AU - Zhan, Yiqiang
AU - Lin, Danyu
AU - Tao, Enxiang
TI - Novel Insights Into the Association Between Parkinson's Disease and Constipation: Role of SHMT2 as a Promising Biomarker
T2 - CNS neuroscience & therapeutics
J2 - CNS Neurosci Ther
PY - 2026
DA - 2026/
VL - 32
IS - 5
SP - e70912
SN - 1755-5930
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
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