Evidence map›Paper›PMID 39931480›Full record

ArticleHeliyon2025

A single-cell transcriptome analysis reveals astrocyte heterogeneity and identifies CHI3L1 as a diagnostic biomarker in Parkinson's disease.

Zhongying Gong, Dan Guo, Yufeng Lin, Zhiwei Liu, Mengdi Lv, Xinxin Liu, Yang Yao, Sijia Wang, Yuan Wang, Zhiyun Wang

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Astrocyte alterations in α-synucleinopathies.Frontiers in cellular neuroscience · 2025
    Review
  4. 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

10 authors.

Zhongying GongDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Dan GuoDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Yufeng LinDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Zhiwei LiuDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Mengdi LvDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Xinxin LiuDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Yang YaoDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Sijia WangDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Yuan WangDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.
Zhiyun WangDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Parkinson's disease (PD) is the second most common neurodegenerative disease, characterized by motor and non-motor symptoms. It has been reported that astrocytes play a critical role in the pathogenesis and progression of PD. Here, we aimed to identify the heterogeneity of astrocytes and investigate genes associated with astrocyte differentiation trajectories in PD. Methods: The single-cell transcriptomic profiles of PD samples were collected from the GEO database. We have identified subsets of astrocytes and analyzed their functions. The differentiation trajectory of astrocyte subtypes was explored using Monocle2. Inflammatory response scores were determined using AUCell. The levels of CHI3L1 mRNA and protein expressions in astrocytes were analyzed using qRT-PCR and Western Blot assay, respectively. Results: We characterized seven cell types within the substantia nigra region of both PD and normal samples. Our analysis revealed that astrocytes comprised the second-highest proportion of cell types. Additionally, we identified three distinct subpopulations of astrocytes: Astro-C0, Astro-C1, and Astro-C2. Notably, Astro-C0 was associated with inflammatory signaling pathways. Trajectory analysis indicated that Astro-C0 occupies an intermediate stage of differentiation. The astrocyte-related gene CHI3L1 was found to be highly expressed in the Astro-C0 subpopulation. Furthermore, we observed increased levels of CHI3L1 mRNA and protein in LPS-induced astrocytes. Astrocytes exhibiting elevated CHI3L1 levels demonstrated interactions with microglia in PD patients. Lastly, we discovered that CHI3L1 was significantly overexpressed in PD patients and exhibited strong diagnostic potential for the disease. Conclusion: This study clarified the heterogeneity of astrocytes in PD based on the single-cell transcriptomic profiles and found that CHI3L1 may be a diagnostic biomarker for PD.

Indexed as

AstrocytesCHI3L1Diagnostic biomarkerInflammationParkinson's disease

Identifiers

PMID39931480
PMCPMC11808505

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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.