Plasma glial fibrillary acidic protein as a biomarker of disease progression in Parkinson's disease: a prospective cohort study.


Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
06 11 2023
Historique:
received: 20 06 2023
accepted: 19 10 2023
medline: 8 11 2023
pubmed: 7 11 2023
entrez: 6 11 2023
Statut: epublish

Résumé

Reactive astrogliosis has been demonstrated to have a role in Parkinson's disease (PD); however, astrocyte-specific plasma glial fibrillary acidic protein (GFAP)'s correlation with PD progression remains unknown. We aimed to determine whether plasma GFAP can monitor and predict PD progression. A total of 184 patients with PD and 95 healthy controls (HCs) were included in this prospective cohort study and followed-up for 5 years. Plasma GFAP, amyloid-beta (Aβ), p-tau181, and neurofilament light chain (NfL) were measured at baseline and at 1- and 2-year follow-ups. Motor and non-motor symptoms, activities of daily living, global cognitive function, executive function, and disease stage were evaluated using the Unified Parkinson's Disease Rating Scale (UPDRS) part III, UPDRS-I, UPDRS-II, Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB), and Hoehn and Yahr (H&Y) scales at each visit, respectively. Plasma GFAP levels were higher in patients with PD (mean [SD]: 69.80 [36.18], pg/mL) compared to HCs (mean [SD]: 57.89 [23.54], pg/mL). Higher levels of GFAP were observed in female and older PD patients. The adjusted linear mixed-effects models showed that plasma GFAP levels were significantly associated with UPDRS-I scores (β: 0.006, 95% CI [0.001-0.011], p = 0.027). Higher baseline plasma GFAP correlated with faster increase in UPDRS-I (β: 0.237, 95% CI [0.055-0.419], p = 0.011) and UPDRS-III (β: 0.676, 95% CI [0.023-1.330], p = 0.043) scores and H&Y stage (β: 0.098, 95% CI [0.047-0.149], p < 0.001) and faster decrease in MoCA (β: - 0.501, 95% CI [- 0.768 to - 0.234], p < 0.001) and FAB scores (β: - 0.358, 95% CI [- 0.587 to - 0.129], p = 0.002). Higher baseline plasma GFAP predicted a more rapid progression to postural instability (hazard ratio: 1.009, 95% CI [1.001-1.017], p = 0.033). Plasma GFAP might be a potential biomarker for monitoring and predicting disease progression in PD.

Sections du résumé

BACKGROUND
Reactive astrogliosis has been demonstrated to have a role in Parkinson's disease (PD); however, astrocyte-specific plasma glial fibrillary acidic protein (GFAP)'s correlation with PD progression remains unknown. We aimed to determine whether plasma GFAP can monitor and predict PD progression.
METHODS
A total of 184 patients with PD and 95 healthy controls (HCs) were included in this prospective cohort study and followed-up for 5 years. Plasma GFAP, amyloid-beta (Aβ), p-tau181, and neurofilament light chain (NfL) were measured at baseline and at 1- and 2-year follow-ups. Motor and non-motor symptoms, activities of daily living, global cognitive function, executive function, and disease stage were evaluated using the Unified Parkinson's Disease Rating Scale (UPDRS) part III, UPDRS-I, UPDRS-II, Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB), and Hoehn and Yahr (H&Y) scales at each visit, respectively.
RESULTS
Plasma GFAP levels were higher in patients with PD (mean [SD]: 69.80 [36.18], pg/mL) compared to HCs (mean [SD]: 57.89 [23.54], pg/mL). Higher levels of GFAP were observed in female and older PD patients. The adjusted linear mixed-effects models showed that plasma GFAP levels were significantly associated with UPDRS-I scores (β: 0.006, 95% CI [0.001-0.011], p = 0.027). Higher baseline plasma GFAP correlated with faster increase in UPDRS-I (β: 0.237, 95% CI [0.055-0.419], p = 0.011) and UPDRS-III (β: 0.676, 95% CI [0.023-1.330], p = 0.043) scores and H&Y stage (β: 0.098, 95% CI [0.047-0.149], p < 0.001) and faster decrease in MoCA (β: - 0.501, 95% CI [- 0.768 to - 0.234], p < 0.001) and FAB scores (β: - 0.358, 95% CI [- 0.587 to - 0.129], p = 0.002). Higher baseline plasma GFAP predicted a more rapid progression to postural instability (hazard ratio: 1.009, 95% CI [1.001-1.017], p = 0.033).
CONCLUSIONS
Plasma GFAP might be a potential biomarker for monitoring and predicting disease progression in PD.

Identifiants

pubmed: 37932720
doi: 10.1186/s12916-023-03120-1
pii: 10.1186/s12916-023-03120-1
pmc: PMC10626747
doi:

Substances chimiques

Biomarkers 0
Glial Fibrillary Acidic Protein 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

420

Informations de copyright

© 2023. The Author(s).

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Auteurs

Junyu Lin (J)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Ruwei Ou (R)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Chunyu Li (C)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Yanbing Hou (Y)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Lingyu Zhang (L)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Qianqian Wei (Q)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Dejiang Pang (D)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Kuncheng Liu (K)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Qirui Jiang (Q)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Tianmi Yang (T)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Yi Xiao (Y)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Bi Zhao (B)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Xueping Chen (X)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Wei Song (W)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Jing Yang (J)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Ying Wu (Y)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Huifang Shang (H)

Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. hfshang2002@126.com.

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