in Vitro Effect of Methamphetamine on Proliferation, Differentiation and Apoptosis of Adipose Tissue Stem Cells
Bibliographic record
Abstract
PURPOSE: Among abused substances, methamphetamine is a psychostimulant drug widely used recreationally with public health importance. This study investigated the effect of methamphetamine on proliferation, differentiation, and apoptosis of human adipose tissue stem cells (AdSCs). METHODS: AdSCs were isolated from human abdominal adipose tissue and were characterized for mesenchymal properties and growth kinetics. MTT assay was undertaken to assess methamphetamine toxicity on proliferation and differentiation properties and apoptosis of hAdSCs. RESULTS: Isolated cells were shown to have mesenchymal properties and a population doubling time (PDT) of 40.1 h. Following methamphetamine treatment, expressions of KI-67 and TPX2 as proliferation genes and Col1A1 and PPARg as differentiation genes decreased. Methamphetamine administration increased the expression of Bax and decreased Bcl-2 genes responsible for apoptosis. CONCLUSIONS: Our data suggested when AdSCs were exposed to methamphetamine, it decreased proliferation and differentiation properties of stem cells together with an increase in apoptosis. These findings can be added to the literature, especially when methamphetamine is used recreationally for weight loss purposes.
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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".