Abstract 474: ERK4-deficiency Potentiates the TAC-induced Increase in Collagen1-α <sub>1</sub> Messenger RNA in Mice
Bibliographic record
Abstract
Cardiac hypertrophy, a common consequence of cardiopathologies such as hypertension and myocardial infarcts, involves formation of excessive interstitial fibrosis, which may impair cardiac function. Fibroblasts are the primary source of extracellular matrix protein. Extracellular-regulated kinase 4 (ERK4) is an atypical mitogen-activated protein kinase (MAPK). The regulation and role of ERK4 in the heart are currently unidentified and its only known target is MAP kinase-activated protein kinase 5 (MK5), a kinase involved in regulating fibroblast function. Following constriction of the transverse aorta (TAC), MK5 haplodeficient mice showed an attenuation of the TAC-induced increase in collagen 1-α 1 mRNA at 2-wk post-TAC and reduced hypertrophy 8-wk post-TAC. Further studies revealed MK5 immunoreactivity in cardiac fibroblasts but not myocytes. MK5 immunoprecipitates from whole heart contain ERK3 immunoreactivity, but not that of ERK4 or p38 MAPK. This study was to examine the role of ERK4 in myocardial structure, function, and remodeling 3-wk post-TAC. At 12 wk of age, echocardiographic imaging revealed systolic and diastolic function in male ERK4 -/- mice were similar to wild-type littermates (ERK4 +/+ ). Three weeks post-TAC, hypertrophy was similar in ERK4 +/+ and ERK4 -/- mice. Transcripts for BNP and βMHC increased to similar extent in TAC- ERK4 +/+ and TAC- ERK4 -/- mice. Two-way ANOVA indicated that ERK4 deficiency altered the effect of TAC on TGFβ 1 and collagen 1-α 1 transcript levels with each being higher in TAC-ERK4 -/- mice. Furthermore, MK5 immunoprecipitates from cardiac fibroblast lysates did not contain ERK4 immunoreactivity. Additional experiments revealed the presence of ERK4 immunoreactivity in myocytes but not fibroblasts. These results suggest 1) ERK4 may be involved in myocyte - fibroblast communication during myocardial remodeling and 2) in cardiac myocytes, ERK4 is part of a novel signaling cascade that does not involve MK5.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".