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Record W4384567962 · doi:10.1136/heartjnl-2023-bcs.125

125 Post-genomic atrial and ventricular myocardial proteome of end-stage lamin heart disease: a prospective clinical trial

2023· article· en· W4384567962 on OpenAlexaff
Constantin‐Cristian Topriceanu, Petros Syrris, Hunain Shiwani, Stephen Pettit, William E. Moody, Saidi Mohiddin, James Moon, Fiona Chan, Jakob Vowinckel, Gabriella Captur, Caroline Coats, Alun D. Hughes, Benjamin O’Brien, Mashael Alfarih, Eloisa Arbustini, Richard P. Steeds

Bibliographic record

VenueHeart failure · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsLMNACardiologyInternal medicineLaminDilated cardiomyopathyVentricleMedicineEjection fractionHeart failureCardiomyopathyCardiac function curve

Abstract

fetched live from OpenAlex

<h3>Background</h3> Lamins A/C (encoded by the LMNA gene) can lead to dilated cardiomyopathy (DCM). LMNA DCM to be ranked clinically as one of the most dreaded forms of DCM because of its high propensity for sudden cardiac death and advanced heart failure. However, lamin heart disease (LHD) remains to be poorly understood. Thus, this study sought to undertake proteomic analysis of myocardial tissue to explore the postgenomic phenotype of end-stage lamin heart disease. <h3>Methods</h3> This prospective clinical trial (NCT03860454) enrolled consecutive patients with end-stage LHD (LMNA-group, n=7) and ischaemic DCM (ICM-group, n=7) who were undergoing heart transplantation. For comparison, samples from healthy unused control donor hearts (CTRL, n=6) collected from the University of Sydney Heart Bank were also included. Samples were obtained from left atrium (LA), left ventricle (LV), right atrium (RA), right ventricle (RV) and interventricular septum (IVS). Liquid chromatography combined with mass-spectrometry (MS) was used to quantify protein concentrations. We compared protein concentrations in cardiac samples between LMNA and ICM groups. Proteins were considered differentially abundant if two simultaneous criteria were met: (1) there was a 1.5-fold increase/decrease, and (2) the p-value passed the correction for multiple testing at a false discovery rate of 0.01 (i.e., q-value&lt;0.05). Given the slight differences in MS methodologies, only qualitative comparisons were made with the CTRL group. Gene ontology (GO) enrichment analysis explored the related biological processes. Biological processes, cellular components and molecular function GO categories with &gt;2 members were considered. <h3>Results</h3> Participant characteristics are presented in Table 1. 4,247 proteins were identified in LMNA and ICM samples, of which 633 were differentially abundant in LA, 39 in LV, 181 in RA, 52 in RV, and 85 in IVS (Table 2). The top 25 differentially abundant proteins ranked by q-value are presented using volcano plots in Figure 1. Abundance of lamin A/C was reduced but lamin B (LMNB) increased in LMNA LA/RA tissue compared to ICM, but not in LV/RV, with lamin B being absent in CTRL septal samples. Across all tissue samples, ECM proteins levels were differently abundant with pro-fibrotic fibrillar proteins being found at higher levels. Transthyretin was more abundant in the LV/RV of LMNA compared to ICM while sarcomeric proteins such as titin and cardiac myosin heavy chain were generally reduced in RA/LA of LMNA. In RV/LV, glycolysis enzymes and sarcoendoplasmic reticulum calcium-binding proteins appeared to be decreased. Protein expression profiling and GO enrichment analysis revealed sarcopenia, extracellular matrix (ECM) remodeling, deficient myocardial energetics, redox imbalances, and abnormal calcium handling in LMNA samples. For LV, box plots comparing the intensities of the top 25 differentially abundant proteins between LMNA and ICM based on q-value, and the top 20 enriched biological processes are presented in Figure 2. <h3>Conclusion</h3> LHD is a biventricular and biatrial disease, characterized by sarcopenia, aberrant metabolism, and ECM remodeling. LMNB and transthyretin were unexpectedly abundant in the atria and ventricles respectively of patients with end-stage lamin heart disease potentially hinting to the possibility of compensatory responses. <h3>Conflict of Interest</h3> None

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.537

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)0.0000.000

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 head0.012
GPT teacher head0.277
Teacher spread0.266 · 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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