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Record W3158840933 · doi:10.1111/jcmm.16544

Cardiac‐specific overexpression of miR‐122 induces mitochondria‐dependent cardiomyocyte apoptosis and promotes heart failure by inhibiting Hand2

2021· article· en· W3158840933 on OpenAlexaff
Yajuan Shi, Zhi Zhang, Qiqi Yin, Chen Fu, Andrew Barszczyk, Xiaofu Zhang, Jiabing Wang, Deye Yang

Bibliographic record

VenueJournal of Cellular and Molecular Medicine · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsApoptosisCell biologyMitochondrionHeart failuremicroRNACancer researchDownregulation and upregulationChemistryBiologyMedicineInternal medicineGeneBiochemistry

Abstract

fetched live from OpenAlex

MicroRNA-122 (miR-122) is one of several microRNAs elevated in heart failure patients. To investigate the potential role and mechanism of miR-122 in heart failure, we constructed a transgenic mouse overexpressing miR-122 in the heart. This mouse exhibited cardiac dysfunction (as assessed by transthoracic echocardiography), morphological abnormalities of the heart and cardiomyocyte apoptosis characteristic of heart failure. Mechanistically, we identified the Hand2 transcription factor as a direct target of miR-122 using a dual-luciferase reporter assay. In Tg-miR-122 mice and H9C2 cells with miR-122 mimics, we detected apoptosis and increased expression of dynamin-related protein-1 (Drp1). This effect was blocked with prior knockdown of Hand2 in vitro. Our work suggests that miR-122 causes cardiomyocyte apoptosis by inhibiting Hand2 and consequently increasing Drp1-mediated mitochondrial fission. Such a mechanism likely contributes to heart failure and so modulating this pathway could be therapeutically valuable against heart failure.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.008
GPT teacher head0.227
Teacher spread0.219 · 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

Citations41
Published2021
Admission routes1
Has abstractyes

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