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Abstract 18897: Extracellular Signal-related Kinase Signaling and Smooth Muscle Cell Contractile Gene Expression are Uniformly Enhanced in the Aortic Root and Ascending Aorta in Marfan Syndrome

2015· article· en· W2899531960 on OpenAlexaff
Albert J Pedroza, Tiffany Koyano, Jeffrey D. Trojan, Itai Palmon, Mamoru Arakawa, Kiril Penov, Michael P. Fischbein

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsTrojan Technologies (Canada)
Fundersnot available
KeywordsMyocardinMedicineMarfan syndromeAscending aortaMAPK/ERK pathwaySignal transductionAortaAortic aneurysmSMADGene expressionKinaseInternal medicineEndocrinologyCell biologyBiologyGeneReceptorBiochemistrySerum response factor

Abstract

fetched live from OpenAlex

Introduction: Enhanced TGF-β signaling drives aortic root aneurysm development in Marfan syndrome (MFS) via the non-canonical (ERK) pathway in murine models, but ERK not been studied in human tissue. Conversely, blockade of canonical (Smad) TGF-β signaling is detrimental in MFS mice. Recently, TGF-β-induced increases in smooth muscle cell (SMC) contractile genes and collagen I (COL1) expression have been proposed to lead to aortic stiffness and dilatation in MFS. Hypothesis: We hypothesized that ERK signaling is enhanced in human MFS tissue and dictates the predilection of the aortic root to develop aneurysm by altering SMC gene expression. Methods and Results: Western blot of aortic root tissue from MFS patients with root aneurysms (4.67±0.09 cm) revealed 3.1-fold increased ERK activation relative to control aortic root (p=0.03, n=8). When compared to non-dilated MFS ascending (ASC) aorta (2.94±0.14 cm), there was no difference in ERK activation between the two regions. While RT-PCR of MFS root showed increased expression of the contractile gene regulator myocardin (2.4±0.07 fold, p=0.01), and of MYH11 (3.05±0.13 fold, p=0.03) ACTA2 (2.93±0.10 fold, p<0.01), and SM22-α (1.88±0.13 fold, p=0.02) versus controls, these genes were not differentially expressed between MFS root and ASC. COL1 expression was increased in MFS root relative to controls (5.57±0.06 fold, p<0.01) and MFS ASC (2.25±0.06 p<0.01). In vitro treatment of cultured MFS aortic root SMCs (n=5 patients) with TGF-β and Smad-specific inhibitor (SB431542) failed to increase expression of MYOCD, MYH11, ACTA2, SM22-α or COL1, while co-treatment with TGF-β and ERK inhibitor (PD98059) induced significant increases in expression of these genes (5.4-, 2.6-, 2.7-, 1.4-, and 1.4- fold, respectively p<0.05). Conclusions: ERK signaling is uniformly enhanced in MFS aortic root and ASC tissue, indicating that further study into aortic region-specific responses to cellular signals is needed to assess the development of focal aortic root aneurysm in MFS. Increased contractile gene expression is Smad-dependent and non-focal and thus does not clarify focal root aneurysm. COL1, while focally enhanced in the MFS root, is Smad-driven and suppressed by ERK, and may represent a compensatory response.

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 score0.003
Threshold uncertainty score0.012

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)0.0030.000

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 head0.020
GPT teacher head0.267
Teacher spread0.247 · 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
Published2015
Admission routes1
Has abstractyes

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