Abstract 235: Sarcolemmal Membrane Associated Protein Isoform 1: a Unique Regulator of Glucose Uptake and Metabolism in the Myocardium
Bibliographic record
Abstract
As one of the leading causes of heart disease, diabetes is a problem which needs a solution. Regulation of glucose uptake and metabolism within skeletal and cardiac muscle has proven capable of altering systemic glucose levels and impacting metabolism to potentially improve patient outcomes. Unfortunately, to date, very few muscle specific metabolic regulators are known which can allow us to achieve blood glucose uptake and metabolism. Sarcolemmal Membrane Associated Protein Isoform 1 (SLMAP1) is a novel protein expressed predominantly within muscle tissue. It has been linked to diabetes through animal models, although its role in metabolism remains to be defined. Here we describe a novel role for SLMAP1 in glucose metabolism within the myocardium. We engineered a transgenic (TG) mouse with cardiac specific expression of SLMAP1. Using neonatal cardiomyocytes (NCMs) collected from these mice we performed glucose uptake assays with 2-deoxy-glucose (2DG), measured glycolytic rate using an Extracellular Flux XF24e Bioanalyzer, and analyzed glucose transporter 4 (GLUT4) trafficking using Western Blots, qPCR, and immunofluorescence imaging. NCMs extracted from TG hearts expressing SLMAP1 displayed increased levels of 2DG uptake (93% ± 25%, n=5, P<0.01), basal glycolysis (glycolysis (92 ± 40%, n=5, P<0.05), and maximal glycolysis (75 ± 31%, n=5, P<0.05) compared with wildtype littermates. Confocal microscopy revealed both increased localization of glucose transporter 4 (GLUT4) at the cell surface as well as an expansion of GLUT4 early endosomes in TG NCMs. The data here indicates SLMAP1 as a novel regulator of glucose uptake and metabolism in the myocardium. The targeted expression of SLMAP1 in a muscle specific manner may enhance systemic glycemic control and serve to limit cardiovascular disease in metabolic disorders such as diabetes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".