Subtherapeutic lithium supplementation causes physiological eccentric cardiac hypertrophy in young‐adult wild‐type male mice
Bibliographic record
Abstract
Abstract Six weeks of low‐dose lithium (Li) supplementation has been shown to improve the activity of cardiac sarco(endo)plasmic reticulum calcium (Ca2+)‐ATPase (SERCA) in C57BL/6J wild‐type (WT) male mice. Improvements in myocardial SERCA function can lead to improvements in systolic and diastolic function in various rodent models. In this study, we tested the hypothesis that 12 weeks of subtherapeutic Li supplementation (10 mg/kg/day) would enhance SERCA function and positively influence cardiac contractility and morphology. Cardiac function and morphology were assessed using high‐frequency ultrasound in the final week of Li treatment. Subsequently, SERCA activity, Ca2+ uptake assays, and Western blotting for glycogen synthase kinase‐3β, SERCA2, and its inhibitor phospholamban (PLN) were performed on isolated left ventricle tissue. After 12 weeks of subtherapeutic Li supplementation, the heart underwent eccentric remodeling, exhibited by increased left ventricle internal diameter and volumes during systole and diastole, ultimately leading to greater stroke volume. However, we did not find any specific alterations in systolic or diastolic functional measures; nor were there any changes in SERCA activity and its content relative to PLN after Li supplementation. Thus, while Li supplementation appears to positively influence cardiac morphology to increase stroke volume, these changes are independent of changes to SERCA function.
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 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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".