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Differential Expression of NRG1‐ERBB4‐PSEN1‐NUP98 (NEPN) Signaling Axis as Potential Blood‐Based Biomarkers for Viral Myocarditis

2019· article· en· W3176550979 on OpenAlexafffund
Paul Hanson, Veena Lin, Bruce M. McManus

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsUniversity of British Columbia
FundersMichael Smith Health Research BCMyocarditis Foundation
KeywordsMyocarditisWestern blotInflammationViral MyocarditisPathologyMedicineHeart failureImmunohistochemistryBiopsyDownregulation and upregulationImmunologyBiologyInternal medicine

Abstract

fetched live from OpenAlex

Background Myocarditis, inflammation of the myocardium, is a leading cause of unexpected heart failure in young adults, commonly attributable to viral infections. Myocarditis manifests in a wide range of clinical presentations, from asymptomatic to acute heart failure. The current gold standard for diagnosis relies upon invasive endomyocardial biopsy, requiring histopathological demonstration of inflammation with/without associated myocyte damage. Under these guidelines, diagnostic sensitivity in independent published studies is <30%. We have previously demonstrated that detection of biomarkers within the NEPN pathway (implicated in immune response and heart failure) significantly improved diagnostic sensitivity to ~80%, however, this approach still relies upon biopsy. Thus, in the present study, our aim is to develop a non‐invasive, blood‐based diagnostic assay for viral myocarditis by examining the NEPN signaling axis and their cleavage fragments during the evolution of myocarditis. Design HeLa cells and human induced pluripotent stem cell (iPSC)‐derived cardiomyocytes (CM) were CVB3‐ or sham‐infected. Western blot analysis and confocal microscopy were performed to determine the expression and subcellular localization of NEPN signaling axis proteins in tissue culture. In addition, tissue and blood from murine models of viral myocarditis (A/J and C57BL/6 mice) were collected at 4 dpi (viremic phase) and 5 to 8 dpi (acute phase), and were analyzed by Western blot analysis, IHC and IF to detect protein expression. Results NEPN proteins all show changes in expression and subcellular localization throughout the infection time course. NUP98 is upregulated and cleaved during infection. NRG1 is upregulated in both lysates and supernatants. ERBB4 co‐localizes at the cell membrane with the protease PSEN1. ERBB4 and NRG1 cleavage fragments are secreted and detected in both tissue culture supernatant and mouse plasma. In the plasma of the less susceptible C57BL/6 mice, ERBB4 and NRG1 cleavage fragments increase throughout the viremic and acute phases. However, in the highly susceptible A/J mice, ERBB4 and NRG1 cleavage fragments were not detected in the plasma until 6 dpi (acute phase), when they are highly upregulated as compared to C57BL/6 mice (p=0.001). Conclusion Differential expression, subcellular localization and cleavage fragments of NEPN signaling axis proteins were detected during the pathogenesis of viral myocarditis. These composite changes may be useful in the development of a blood‐based diagnostic. Support or Funding Information Dr. Hanson's research is supported by the Myocarditis Foundation and Michael Smith Foundation for Health Research This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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: Observational · Consensus signal: none
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.284
Teacher spread0.269 · 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".

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Citations0
Published2019
Admission routes2
Has abstractyes

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