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Abstract 12433: miR 187a-3p Prevents Septic-Induced Myocardial Dysfunction by Targeting the Inflammatory Cytokines TNFa and IL-6

2023· article· en· W4389953292 on OpenAlexaff
Amin M. Ektesabi, James N. Tsoporis, Chirag M. Vaswani, Shehla Izhar, Jean‐François Desjardins, Thomas G. Parker, Howard Leong‐Poi, Claúdia C. dos Santos

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineSepsisInflammationTumor necrosis factor alphaSeptic shockEjection fractionCytokineCardiac function curveContractilityHeart failureCirculatory systemProinflammatory cytokineInternal medicinePerforationCardiologyImmunology

Abstract

fetched live from OpenAlex

Introduction: Patients with severe, sepsis can develop acute heart failure characterized by left ventricular dilatation and decreased contractility. Inflammatory mediators, including TNFα, IL-6 and IL-1β contribute to the activation of inflammation and ventricular remodeling. Therapeutic interventions for sepsis are lacking. Previously, we demonstrated that miR187-3p, a regulator of TNFα is dysregulated in the septic heart, in a pre-clinical model of sepsis. Hypothesis: We hypothesize that administering miR187-3p mimic would reduce inflammatory cytokine production and improve cardiac function and mortality rate. Methods: Polymicrobial sepsis was induced in mice via cecal ligation and perforation (CLP) surgery, mice undergoing sham surgery served as controls. MiR187-3p mimic, miRNA negative control, or saline were administered IV 6 hrs post-CLP. At 48 hrs post-CLP, following echocardiographic and hemodynamic assessments, the mice were sacrificed, and the hearts collected for biochemical, and molecular analysis. To complement the experimental findings, autopsy human hearts and circulatory blood samples from septic patients and healthy controls were collected and the expression of miR187a-3p and inflammatory cytokines were analyzed. Results: Administration of miR-187-3p mimic to septic mice 6 hrs post-CLP increased survival, improved echo-derived indices of cardiac function (left ventricular ejection fraction, fractional shortening), increased bacterial clearance and reduced inflammation when compared to septic mice receiving a scrambled control miR. In septic mice, miR-187-3p expression decreased in both the circulation and heart tissue. In addition to TNFα, bioinformatic analysis, confirmed by luciferase assays, identified IL-6 as a specific target of miR187-3p in cardiac myocytes. In septic patients, the expression of miR-187-3p and target inflammatory cytokines decreased in plasma and autopsied hearts. Conclusions: Delivery of miR-187-3p improves outcomes in sepsis-induced myocardial dysfunction. Thus, miR-187-3p serves as a potential biomarker and therapeutic target for prevention and prognostic reflection in sepsis-induced myocardial dysfunction.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.040
GPT teacher head0.282
Teacher spread0.243 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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