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Record W4416295070 · doi:10.1101/2025.11.13.687853

Single nuclear RNA sequencing shows altered microglial and astrocytic functions in post-mortem Parkinson’s disease tissue

2025· preprint· W4416295070 on OpenAlexaff
Rhalena A. Thomas, Georgina Jiménez Ambriz, Sali M.K. Farhan, Valerio E. C. Piscopo, Thomas M. Durcan

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Language
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsMicrogliaDownregulation and upregulationSubstantia nigraInflammationCellPhenotypeNeurogliaGene expressionNeurodegeneration

Abstract

fetched live from OpenAlex

ABSTRACT Background Parkinson’s disease (PD) is a neurodegenerative disease marked by a progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) and formation of misfolded protein aggregates. A growing body of research has implicated glial cell dysfunction in PD etiology, including the concentration of activated glial cells around protein aggregates in post-mortem tissue. Disruptions in the balance of pro– and anti-inflammatory immune response functions of the microglia and astrocytes is believed to contribute towards neurons being lost as the disease progresses. However, the molecular mechanisms remain unclear. To shed light on the role of inflammation in PD, this study analyses two public single nuclear RNA sequencing datasets of the SNpc from patient and control postmortem brain to identify altered molecular pathways in PD-associated microglia and astrocytes. Results The results show that both cell types have a significant upregulation in heat shock binding and misfolded protein response pathways, likely in response to the accumulation of protein aggregates. Microglia annotated with the MKI67 marker gene show a decreased expression in PD patient derived tissue. Markers associated with activated/reactive states in astrocytes and microglia are upregulated in PD samples. Notably, expression of genes associated with resting state microglia and non-inflammatory reactive state microglia are downregulated in PD microglia, including P2RY12, CSF1R, CSF2RA, CSF3R, and TGFBR1. Concurrently, genes associated with activated microglial states such as HSP90AB1 and GPNMB are upregulated. Among the top downregulated functions, genes associated with ion channel functions are downregulated in both astrocytes and microglia. Conclusions Taken together, the findings imply that astrocytes and microglia respond to protein misfolding pathology in PD by upregulating chaperone protein folding functions. Additionally, the profile of upregulated genes implies that pathways responding to oxidative stress are also activated. The downregulation of inflammation-associated genes in PD microglia paired with the upregulation of misfolding protein response pathways, suggests a switch from immune receptor functions to protein aggregate clearance by the end of disease stages. Finally, GPNMB emerged as a potential target for therapeutic intervention, as the one primary non-HSP gene that is significantly increased in PD-associated microglia. Abbreviations Parkinson’s disease (PD); neurodegenerative diseases (NDD); dopaminergic neurons (DNs); substantia nigra pars compacta (SNpc); microglia (Mg); Lewy body dementia (LBD); single nuclear RNA sequencing (snRNA-seq), single cell RNA sequencing (scRNA-seq); Gene Ontology (GO)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.229
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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