Circulating Mitochondrial DNA at the Crossroads of Mitochondrial Dysfunction and Inflammation During Aging and Muscle Wasting Disorders
Bibliographic record
Abstract
Mitochondrial structural and functional integrity is maintained through the coordination of several processes (e.g., biogenesis, dynamics, mitophagy), collectively referred to as mitochondrial quality control (MQC). Dysfunctional MQC and inflammation are hallmarks of aging and are involved in the pathogenesis of muscle wasting disorders, including sarcopenia and cachexia. One of the consequences of failing MQC is the release of mitochondria-derived damage-associated molecular patterns (DAMPs). By virtue of their bacterial ancestry, these molecules can trigger an inflammatory response by interacting with receptors similar to those involved in pathogen-associated responses. Mitochondria-derived DAMPs, especially cell-free mitochondrial DNA, have recently been associated with conditions characterized by chronic inflammation, such as aging and degenerative diseases. Yet, their actual implication in the aging process and muscle wasting disorders is at an early stage of investigation. Here, we review the contribution of mitochondria-derived DAMPs to age-related systemic inflammation. We also provide arguments in support of the exploitation of such signaling pathways for the management of muscle wasting conditions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".