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Record W1936370560 · doi:10.25011/cim.v32i2.6027

Overexpression of CIRP may reduce testicular damage induced by cryptorchidism

2009· article· en· W1936370560 on OpenAlexvenueno aff
Kewen Zhou, Xinmin Zheng, Zhiwei Yang, Lin Zhang, Haidan Chen

Bibliographic record

VenueClinical and investigative medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
Fundersnot available
KeywordsAndrologyChemistryCell biologyInternal medicineEndocrinologyMedicineBiology

Abstract

fetched live from OpenAlex

PURPOSE: To investigate the protective effect of overexpression of cold-inducible RNA-binding protein (CIRP) on testicular damage induced by cryptorchidism. METHODS: Male BALB/c mice were made surgically cryptorchid and CIRP gene was transferred into the cryptorchid testis by in vivo electroporation. Seven or ten days after electroporation, the expression of CIRP, p53 and Fas mRNA and protein were analyzed by reverse-transcription polymerase chain reaction (RT-PCR) and immunoblotting, respectively. Meanwhile, Histopathological changes were observed by light microscope, and flow cytometry was used to detect testicular cell apoptosis. RESULTS: Testicular weights after transfection with pVAX1-CIRP or pVAX1 were 0.083+/-0.005 g and 0.065+/-0.004 g, respectively, on day 7(P < 0.05) and 0.078+/-0.004 g and 0.052+/-0.007 g, on day 10 (P < 0.05). Testicular cell apoptosis after transfection with pVAX1-CIRP or pVAX1 were 9.8+/-1.1 % and 20.7+/-1.3 %, respectively, on day 7 (P < 0.01) and 10.4+/-0.9 % and 27.5+/-1.2 %, on day 10 (P < 0.01). In addition, the expression of CIRP mRNA and protein in the testes transfected with pVAX1-CIRP were both increased (P < 0.05) at each indicated time point. Meanwhile, the expression of p53 was decreased on day 7 (P < 0.05) and Fas was decreased on day 10(P < 0.05). CONCLUSIONS: Overexpression of CIRP may reduce testicular damage induced by cryptorchidism by down-regulating the levels of p53 and Fas.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.138
GPT teacher head0.366
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2009
Admission routes1
Has abstractyes

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