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Abstract 12470: miR-187 Mimic Targets Pro-Inflammatory Cytokynes in Cardiomyocytes Treated With Bacterial Endotoxin

2021· article· en· W3216722326 on OpenAlexaff
Amin M. Ektesabi, James N. Tsoporis, Sahil Gupta, Chirag M. Vaswani, Thomas G. Parker, Claúdia C. dos Santos

Bibliographic record

VenueCirculation · 2021
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineInflammationCell biologyImmunologyCancer research

Abstract

fetched live from OpenAlex

Introduction: 1 in 18 Canadians dies from sepsis, a life-threatening dysfunction caused by a dysregulated host response to infection which can lead to sepsis-induced Cardiac dysfunction. In the past, we have shown that administration of mesenchymal stem cells (MSCs) in the cecal ligation and puncture (CLP) model of polybacterial sepsis leads to the mitigation of sepsis-induced cardiac dysfunction by modulating microRNAs in the septic heart. Differential expression of miRNAs alters mRNA expression profile leading to a change in cellular response. In our CLP model, we identified miR-187 as a host-derived MSC-regulated miRNA. Hypothesis: Here we investigate the broader immunoregulatory of miR-187. Therefore, we tested the hypothesis that miRNA-187 inversely regulates sepsis-induced cardiac dysfunction by attenuating pro-inflammatory gene expression. Methods: Primary cardiomyocytes were isolated from 1-2 days old CD1 neonates. Cultured cells were transfected with miR-187 mimic (25 nM/mL) for 24 hours. Transfected cells were then subsequentially exposed to lipopolysaccharide (LPS, 1 μg/mL) for an additional 24 hours post-transfection. We chose to measure the expression of pro and anti-inflammatory cytokines and some cardiac injury markers via Real-Time Polymerase Chain Reaction (RT-qPCR). Results: Cardiomyocytes treated with bacterial LPS showed a significant decline in expression of miR-187 (n=4, p<0.05) and a significant surge (n=4, p<0.05) in the expression of pro-inflammatory cytokines such as IL-1β, IL-6, TNFα and IL-12 in comparison to untreated cells. Conversely, LPS-stimulated cardiomyocytes transfected with exogenous miR-187 mimic versus non-transfected LPS-stimulated cardiomyocytes demonstrated reduced expression of IL-1β, IL-6, and IL-12 (n=3, p<0.05) and Fasl, S100A4 and S100A9 (n=3, p<0.05). Conclusions: Transfecting neonatal cardiomyocytes with mimic miR-187 in the presence of LPS decreases the production of key inflammatory genes involved in sepsis-induced cardiac dysfunction. Our findings show miR-187 to be a potential therapeutic target to improve cardiac function in a pre-clinical model of sepsis by reducing pro-inflammatory cytokine expression.

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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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.979

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)0.0010.000

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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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