Mitochondrial and metabolic remodelling in human skin fibroblasts in response to glucose availability
Bibliographic record
Abstract
Cell culture conditions highly influence cell metabolism in vitro. This is relevant for preclinical assays, for which fibroblasts are an interesting cell model, with applications in regenerative medicine, diagnostics and therapeutic development for personalized medicine, and the validation of ingredients for cosmetics. Given these cells' short lifespan in culture, we aimed to identify the best cell culture conditions and promising markers to study mitochondrial health and stress in normal human dermal fibroblasts (NHDF). We tested the effect of reducing glucose concentration in the cell medium from high glucose (HGm) to a more physiological level [low glucose medium (LGm)], or its complete removal and replacement by galactose [medium that forces oxidative phosphorylation (OXPHOSm)], always in the presence of glutamine and pyruvate. We have demonstrated that only with OXPHOSm was it possible to observe the selective inhibition of mitochondrial adenosine triphosphate (ATP) production. This reliance on mitochondrial ATP was accompanied by changes in oxygen consumption rate and extracellular acidification rate, oxidation of citric acid cycle substrates, fatty acids, lactate, and other substrates, increased mitochondrial network extension and polarization, the increased protein content of voltage-dependent anion channel (VDAC) and peroxisome proliferator-activated receptor gamma coactivator 1-alpha and changes in several key transcripts related to energy metabolism. LGm did not promote significant metabolic changes in NHDF, although mitochondrial network extension and VDAC protein content were increased compared to HGm-cultured cells. Our results indicate that short-term adaptation to OXPHOSm is ideal for studying mitochondrial health and stress in NHDF.
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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 | 0.000 |
| 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".