Novel mitochondrial mechanisms of cognitive regulation in subjects with cognitive impairments
Bibliographic record
Abstract
Introduction Prior mechanistic studies in rodents showed decreased levels of the pivotal mitochondrial metabolite acetyl-L-carnitine (LAC) in relation to cognitive deficits and depressive-like behavior (Neuron 2017, 10.1016/j.neuron.2017.09.020, PNAS 2013, 10.1073/pnas.1216100110), providing the basis for the current translational study. Objectives The main objective of this work was to ascertain the role of this specific mitochondrial signaling pathway in subjects with cognitive impairments (CI), and potential sex differences in these mechanisms. Methods We used computational approaches, ultraperformance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS) and available plasma samples from a well-characterized cohort of 71 subjects, including subjects with CI and age- and sex-matched cognitively healthy controls (HC). Results Our newest findings showed decreased levels of LAC in subjects with CI as compared to age- and sex-matched HC. We also found important sex differences in carnitine levels in relation to cognitive function as assessed by using the Mini Mental Status Exam (MMSE). Specifically, the degree of carnitine deficiency reflected the severity of cognitive dysfunction in a sex-specific manner. Using computational approaches, we found that the integration of these mitochondrial measures with canonical biomarkers improves diagnostic accuracy. Conclusions The current findings of sex differences in carnitine deficiency in subjects with CI suggest a possible sex-specific mitochondrial phenotype of vulnerability to cognitive dysfunction, and point to LAC-related mitochondrial metabolism as a new signaling pathway of cognitive regulation. Disclosure of Interest None Declared
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".