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Record W4401856362 · doi:10.1101/2024.08.19.608118

Uncovering immune characteristics of neurons in the context of multiple sclerosis and experimental autoimmune encephalomyelitis

2024· preprint· en· W4401856362 on OpenAlexaff
Abdulshakour Mohammadnia, Sienna Drake, Stéphanie Zandee, David Gosselin, Jack P. Antel, Alexandre Prat, Alyson E. Fournier

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversité de MontréalMcGill UniversityUniversité LavalMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsExperimental autoimmune encephalomyelitisMultiple sclerosisContext (archaeology)Immune systemNeuroscienceImmunologyEncephalomyelitisMedicineBiology

Abstract

fetched live from OpenAlex

Abstract Multiple sclerosis (MS) is an immune-mediated disease characterized by chronic inflammation and damage to the central nervous system, and substantial characterization of molecular signatures of glial and immune cells in the disease has been conducted. However, comparatively less well characterized is the molecular signature of pathologically inflamed neurons. Here, we accessed multi-omic high-throughput transcriptomic and epigenomic data to investigate the molecular signature of neurons from progressive MS patients and from mice subjected to experimental autoimmune encephalomyelitis (EAE). Our results indicate a shared and consistent neuronal gene expression signature in MS and EAE samples including a notable upregulation of immune system related genes and processes. Analysis of immune-enriched pathways in retinal ganglion cells (RGCs) and motor neurons from mice subjected to EAE revealed enrichment for the major histocompatibility complex class I pathway and interferon response genes in both types of neurons, and ATAC-seq analysis confirmed the accessibility of these genes. Parallel analyses of neurons from MS patients identified a signature of 48 commonly upregulated immune genes in neurons. Prediction of transcriptional regulators of these genes identified key upstream regulators including signal transducer and activation of transcription 1 (STAT1) and interferon response factor 5 (IRF5), highly involved in immune-related processes, with significant gene expression changes in both RGCs and motor neurons. Protein-protein interaction analyses among the transcriptional regulators unveiled intricate interactions among transcription factors, especially from the IRF and STAT families, suggesting their importance in regulating immune gene expression in inflamed neurons. Small molecule inhibition of IRF5 in inflamed neurons in vitro promoted cell survival and reduced the expression of the immune gene signature, supporting the biological relevance of IRF5 in mediating the neuronal inflammatory response. Together, this study identifies regulated immune processes in neurons from EAE mice and from MS patient samples suggesting potential roles for neuronal immune molecules in disease progression, as revealed by transcriptomic, epigenomic, and experimental approaches. Further, the results strongly implicate active interferon signaling in neurons driving immune related changes in gene expression through IRF5 and STAT1 transcription factor activity, potentially impacting downstream neuronal survival through IRF5 activity.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.228
Teacher spread0.199 · 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 designBench or experimental
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

Citations1
Published2024
Admission routes1
Has abstractyes

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