Platelet mitochondrial DNA methylation in L-carnitine supplemented aged women.
Bibliographic record
Abstract
Introduction: Positive effect of L-Carnitine supplementation in cardiovascular diseases has been recently questioned due to the evidence on trimethylamine-N-oxide (TMAO) production by gut microbiota. \nObjectives: The aim of this study was to evaluate the impact of L-carnitine supplementation on TMAO level, lipid profile and platelets mitochondrial DNA methylation (mtDNA) at two selected regions (MTCO1, D-loop) in a group of aged women that conducted a resistance training protocol (24-weeks, twice a week, with or without supplementation). \nMaterial and Methods: The study protocol has been approved by the Independent Bioethics Commission for Research at Medical University of Gdansk (NKBBN/354- 201/2017). Thirty women, from 62 to 72 years old were analysed in the study. Plasma TMAO (ng/ml) was determined by the UPLC/MS/MS method. Platelet mtDNA extraction was performed using the Genomic DNA extraction kit (Norgen Biotek Corp., Canada). MtDNA of MTCO1 and D-loop was measured, after the conversion of mtDNA with bisulfite, by the PyroMark PCR Kit (Qiagen, Germany). Lipid profile was measured by automatic analyzer Cobas6000. \nResults: Data analyses revealed that L-Carnitine supplementation significantly modify platelet mtDNA methylation at D-loop region and this change was associated with an improved lipid profile. \nConclusions: A complex correlation among TMAO, mtDNA and lipid profile suggests that L-carnitine supplementation together with resistance training activity can exert a positive effect on cardiovascular health. \nThis study was supported by the National Science Centre in Poland, grant number 2014/15/B/NZ7/00893 and RG’s Institutional research fund-Unicam (FPA000033).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".