Elevated levels of miR-483-5p in oocytes aggravates premature ovarian insufficiency induced by CDDP by targeting the FKBP4
Bibliographic record
Abstract
Abstract Background: Premature ovarian insufficiency (POI) is characterized by a loss of ovarian function before 40 years-of-age and represents an existing challenge cause of female infertility. POI is one of the dominant causes of cis-diaminedichloroplatinum (cisplatin, CDDP)-induced reproductive impairment. However, the detailed mechanisms underlying POI induced by CDDP remain unclear.Methods: The POI C57B6/J mouse model was created by administering CDDP. The effects of FKBP4 were investigated using isobaric tags for relative and absolute quantification analysis (iTRAQ), real-time quantitative PCR (qRT-PCR) and western blotting. Target prediction was predicted using TargetScan software. Levels of sex hormones were tested using Enzyme-linked immunosorbent assays (ELISA).Results: We found that the FKBP4 protein was down-regulated in the ovaries of CDDP model. Target prediction identified FKBP4 as a potential target for miR-483-5p, which was expressed at high levels in both the ovaries and serum of CDDP-POI mice, and in the serum from POI patients. In vitro experiments further confirmed that FKBP4 was the target for miR-483-5p in human cervical cancer cells (HeLa). The overexpression of FKBP4 in human granulosa cells (KGN) alleviated the apoptosis caused by CDDP and the overexpression of miR-483-5p. Furthermore, the overexpression of miR-483-5p in oocytes caused injury to the ovaries, and disrupted the levels of sex hormones in CDDP-POI mice (AMH: P < 0.01; E2: P < 0.01; FSH: P < 0.01).Conclusions: Analyses showed that miR-483-5p targets the FKBP4 protein in a mouse model of POI induced by CDDP. Elevated levels of miR-483-5p in oocytes could aggravate POI induced by CDDP by targeting FKBP4. Overall, our data demonstrate that miR-483-5p was responsible for the underlying pathophysiology of POI induced by chemotherapeutic treatments, such as CDDP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".