Alleviative Effects of Adipose Tissue-derived Stem Cells and α-NETA onMetabolic, Biochemical, and Endocrine Parameters in a Letrozole-induced RatModel of PCOS
Bibliographic record
Abstract
BACKGROUND: Polycystic ovary syndrome (PCOS), the most prevalent reproductive disorder, is accompanied by hyperandrogenism (HA), ovulatory dysfunction (OD), and insulin resistance (IR). A number of reports indicate that adipokines play a vital role in the pathophysiology of PCOS. One of these adipokines is chemerin, which is engaged in metabolic disorders, especially obesity, diabetes, and PCOS. Based on the data, the circulating levels of chemerin and the expression of chemokine-like receptor-1 (CMKLR1) in white adipose tissue (WAT) of women with PCOS are significantly higher than in healthy ones. Currently, several scholars have emphasized the therapeutic capacities of stem cells, notably mesenchymal stem cells (MSCs), for the treatment of PCOS. OBJECTIVE: In this study, for the first time, the impacts of 2-(α-naphthoyl) ethyltrimethylammonium iodide (α- NETA), an antagonist of CMKLR1, adipose-derived stem cells (ADSCs), and their combinations on metabolic and endocrine aberrancies were assessed in the WAT and ovarian tissues of the letrozole (LET)-induced PCOS rats. METHODS: ADSCs i.v., n = 6), LET + α-NETA (10 mg/kg p.o., n = 6), and LET + ADSCs + α-NETA (n = 6). The blood samples and adipose and ovarian tissues were obtained to evaluate the effects of ADSCs and α-NETA on hormonal and metabolic parameters in the PCOS rats. RESULTS: Our findings showed that the administration of α-NETA, ADSCs, and the combination of both favorably restored the irregular estrus cycle and considerably modulated the endocrine parameters in PCOS rats. In addition, these therapeutic factors remarkably regulated steroidogenic and adipogenic gene expressions, as well as the genes related to glucose metabolism and brown adipose tissue (BAT) markers in these animals. CONCLUSION: These findings indicate that the combination of ADSCs and α-NETA can successfully ameliorate metabolic and endocrine dysfunction in LET-induced PCOS rats, and this strategy could be a new therapeutic choice for patients with PCOS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".