Histological Changes in Adipose Tissue: An Alarm When Methamphetamine Is Targeted for Weight Loss Purposes
Bibliographic record
Abstract
BACKGROUNDMethamphetamine (METH) may be administered for weight loss purposes and to understand the METH side-effects more in details, this study aimed at determining the effect of METH on changes in adipose tissue in experimental rats. METHODSForty five male Wistar rats were randomly allocated to three equal groups.Group 1 was experimental receiving METH [0.4 mg/kg, subcutaneously (S/C), 0.6 mL/rat] for 3 weeks, group 2 was the sham group receiving normal saline (0.6 mL/rat, S/C) and the 3 rd group was the control receiving distilled water, identically.The elevated plus maze test was used to confirm cognitive impairment and distraction as anxiety and to verify addiction to METH by assessing the percent time spent in open arm (OAT), the percent time spent in closed arm (CAT), the percent time spent in central parts and head dipping over the side of the maze.Adipose tissue was assessed histologically 7, 14 and 21days after interventions. RESULTSA significant increase in anxiety level, and histologically inflammation, degeneration and necrosis in adipose tissue were visible after METH use.CONCLUSION METH use resulted in a significant inflammation and necrosis in adipose tissue denoting to the dangers of METH use, when recreationally targeted 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".