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Record W2884864950 · doi:10.1186/s13024-018-0272-6

Polygenic analysis of inflammatory disease variants and effects on microglia in the aging brain

2018· article· en· W2884864950 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMolecular Neurodegeneration · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of British Columbia
FundersNational Institute of Neurological Disorders and StrokeNational Institute on AgingTranslational Genomics Research InstituteNational Institutes of HealthCanadian Institutes of Health ResearchIllinois Department of Public Health
KeywordsNeuropathologyCognitive declineMedicineMicrogliaDiseaseNeuroinflammationCognitionDementiaInternal medicineInflammationPsychiatry

Abstract

fetched live from OpenAlex

The role of the innate immune system in Alzheimer’s disease (AD) and neurodegenerative disease susceptibility has recently been highlighted in genetic studies. However, we do not know whether risk for inflammatory disease predisposes unaffected individuals to late-life cognitive deficits or AD-related neuropathology. We investigated whether genetic risk scores for seven immune diseases and central nervous system traits were related to cognitive decline (n max = 1601), classical AD neuropathology (n max = 985), or microglial density (n max = 184). Longitudinal cognitive decline, postmortem amyloid and tau neuropathology, microglial density, and gene module expression from bulk brain tissue were all measured in participants from two large cohorts (the Rush Religious Orders Study and Memory and Aging Project; ROS/MAP) of elderly subjects (mean age at entry 78 +/− 8.7 years). We analyzed data primarily using robust regression methods. Neuropathologists were blind to clinical data. The AD genetic risk scores, including and excluding APOE effects, were strongly associated with cognitive decline in all domains (min P uncor = 3.2 × 10 − 29 ). Multiple sclerosis (MS), Parkinson’s disease, and schizophrenia risk did not influence cognitive decline in older age, but the rheumatoid arthritis (RA) risk score alone was significantly associated with microglial density after correction (t 146 = − 3.88, P uncor = 1.6 × 10 − 4 ). Post-hoc tests found significant effects of the RA genetic risk score in multiple regions and stages of microglial activation (min P uncor = 1.5 × 10 − 6 ). However, these associations were driven by only one or two variants, rather than cumulative polygenicity. Further, individual MS ( P one-sided < 8.4 × 10 − 4 ) and RA ( P one-sided = 3 × 10 − 4 ) variants associated with higher microglial density were also associated with increased expression of brain immune gene modules. Our results demonstrate that global risk of inflammatory disease does not strongly influence aging-related cognitive decline but that susceptibility variants that influence peripheral immune function also alter microglial density and immune gene expression in the aging brain, opening a new perspective on the control of microglial and immune responses within the central nervous system. Further study on the molecular mechanisms of peripheral immune disease risk influencing glial cell activation will be required to identify key regulators of these pathways.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.028
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.250
Teacher spread0.239 · 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