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

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 astrocyte...

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Main Authors: Zhongying Gong, Dan Guo, Yufeng Lin, Zhiwei Liu, Mengdi Lv, Xinxin Liu, Yang Yao, Sijia Wang, Yuan Wang, Zhiyun Wang
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025004311
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author Zhongying Gong
Dan Guo
Yufeng Lin
Zhiwei Liu
Mengdi Lv
Xinxin Liu
Yang Yao
Sijia Wang
Yuan Wang
Zhiyun Wang
author_facet Zhongying Gong
Dan Guo
Yufeng Lin
Zhiwei Liu
Mengdi Lv
Xinxin Liu
Yang Yao
Sijia Wang
Yuan Wang
Zhiyun Wang
author_sort Zhongying Gong
collection DOAJ
description 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.
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spelling doaj-art-7dd01d1037624bceba22a6f0e14df6f62025-01-28T04:14:45ZengElsevierHeliyon2405-84402025-02-01113e42051A single-cell transcriptome analysis reveals astrocyte heterogeneity and identifies CHI3L1 as a diagnostic biomarker in Parkinson's diseaseZhongying Gong0Dan Guo1Yufeng Lin2Zhiwei Liu3Mengdi Lv4Xinxin Liu5Yang Yao6Sijia Wang7Yuan Wang8Zhiyun Wang9Corresponding author. Department of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China.; Department of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaDepartment of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaCorresponding author. Department of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, No. 24 Fukang Road, Nankai District, Tianjin, 300192, China.; Department of Neurology, Tianjin First Central Hospital, School of Medcine, Nankai University, Tianjin, 300192, ChinaBackground: 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.http://www.sciencedirect.com/science/article/pii/S2405844025004311Parkinson's diseaseAstrocytesCHI3L1InflammationDiagnostic biomarker
spellingShingle Zhongying Gong
Dan Guo
Yufeng Lin
Zhiwei Liu
Mengdi Lv
Xinxin Liu
Yang Yao
Sijia Wang
Yuan Wang
Zhiyun Wang
A single-cell transcriptome analysis reveals astrocyte heterogeneity and identifies CHI3L1 as a diagnostic biomarker in Parkinson's disease
Heliyon
Parkinson's disease
Astrocytes
CHI3L1
Inflammation
Diagnostic biomarker
title A single-cell transcriptome analysis reveals astrocyte heterogeneity and identifies CHI3L1 as a diagnostic biomarker in Parkinson's disease
title_full A single-cell transcriptome analysis reveals astrocyte heterogeneity and identifies CHI3L1 as a diagnostic biomarker in Parkinson's disease
title_fullStr A single-cell transcriptome analysis reveals astrocyte heterogeneity and identifies CHI3L1 as a diagnostic biomarker in Parkinson's disease
title_full_unstemmed A single-cell transcriptome analysis reveals astrocyte heterogeneity and identifies CHI3L1 as a diagnostic biomarker in Parkinson's disease
title_short A single-cell transcriptome analysis reveals astrocyte heterogeneity and identifies CHI3L1 as a diagnostic biomarker in Parkinson's disease
title_sort single cell transcriptome analysis reveals astrocyte heterogeneity and identifies chi3l1 as a diagnostic biomarker in parkinson s disease
topic Parkinson's disease
Astrocytes
CHI3L1
Inflammation
Diagnostic biomarker
url http://www.sciencedirect.com/science/article/pii/S2405844025004311
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