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Record W4226032294 · doi:10.5114/fn.2022.113561

microRNA-146a as a biomarker for transmissible spongiform encephalopathy

2022· article· en· W4226032294 on OpenAlexfundno aff
Aileen I. Pogue, Yuhai Zhao, Walter J. Lukiw

Bibliographic record

VenueFolia Neuropathologica · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsnot available
FundersNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeNational Eye InstituteUniversity of TorontoLouisiana Biomedical Research NetworkNational Institutes of HealthLouisiana State UniversityNational Institute on AgingResearch to Prevent Blindness
KeywordsBiomarkerTransmissible spongiform encephalopathymicroRNAVirologyEncephalopathyBiologyMedicinePathologyGeneInternal medicineGeneticsPrion proteinScrapieDisease

Abstract

fetched live from OpenAlex

The pro-inflammatory, innate-immune system ribonucleic acid mediator microRNA-146a, constitutively expressed in the brain and central nervous system (CNS) of both the mouse and the human, is pathologically up-regulated in multiple transmissible spongiform encephalopathies (TSEs) to several times its basal level. miRNA-146a: (i) exists as a ~22-ribonucleotide (nt) single-stranded non-coding RNA (sncRNA) whose sequence is unique and highly selected over evolution; (ii) is brain-, CNS- and lymphoid-tissue enriched and exhibits a 100% RNA sequence homology between the mouse and the human; (iii) has been repeatedly shown to play critical immunological and pro-inflammatory roles in the onset and propagation of several human CNS disorders including progressive, incapacitating, and lethal neurological syndromes that include prion disease (PrD) and Alzheimer's disease (AD); (iv) is a fascinating molecular entity because it is representative of the smallest class of soluble, information-carrying, amphipathic sncRNA yet described; (v) has capability to be induced by cellular stressors and the pro-inflammatory transcription factor NF-kB (p50/p65); (vi) has capability to post-transcriptionally regulate multiple mRNAs and cellular processes in neurological health and disease; (vii) is upregulated in human host cells after viral invasion by single-stranded RNA (ssRNA) or double-stranded DNA (dsDNA) neurotropic viruses; and (viii) has an immense potential in neuro-degenerative disease therapeutics via anti-NF-kB and/or anti-miRNA-146a treatment strategies. In this short communication we provide for the first time evidence that miRNA-146a is a prominent sncRNA species in experimental murine prion disease, progressively increasing in the pre-symptomatic stages in C57BL/6J, SJL/J or Swiss Albino murine scrapie prion models. The highest miRNA-146a levels were quantified in these three different murine scrapie models exhibiting full symptomology of prion infection. The results suggest that miRNA-146a levels in the brain may be useful as an accessory diagnostic, prognostic or response-to-treatment biomarker to monitor the onset and development of PrD in experimental murine models that may also be extrapolated to be a relevant adjunct biomarker in human TSEs.

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 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.262
Teacher spread0.245 · 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 teacher head, 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

Citations6
Published2022
Admission routes1
Has abstractyes

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