Evidence map›Paper›PMID 39469578›Full record

ReviewFrontiers in endocrinology2024

The role of p53 in male infertility.

Jing Li, Xia Huang, Lei Luo, Jialin Sun, Qie Guo, Xue Yang, Chuanzhou Zhang, Beibei Ni

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Double jeopardy: howFrontiers in cell and developmental biology · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jing LiDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xia HuangDepartment of Human Resource, The Affiliated Hospital of Qingdao University, Qingdao, China.
Lei LuoDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Jialin SunDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.
Qie GuoDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xue YangDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chuanzhou ZhangDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.
Beibei NiDepartment of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor suppressor p53 is a transcription factor involved in a variety of crucial cellular functions, including cell cycle arrest, DNA repair and apoptosis. Still, a growing number of studies indicate that p53 plays multiple roles in spermatogenesis, as well as in the occurrence and development of male infertility. The representative functions of p53 in spermatogenesis include the proliferation of spermatogonial stem cells (SSCs), spermatogonial differentiation, spontaneous apoptosis, and DNA damage repair. p53 is involved in various male infertility-related diseases. Innovative therapeutic strategies targeting p53 have emerged in recent years. This review focuses on the role of p53 in spermatogenesis and male infertility and analyses the possible underlying mechanism involved. All these conclusions may provide a new perspective on drug intervention targeting p53 for male infertility treatment.

Indexed as

Infertility, MaleSpermatogenesisTumor Suppressor Protein p53AnimalsApoptosisHumansMaleTP53 protein, humanTumor Suppressor Protein p53drug targetmale infertilityp53spermatogenesisstrategy

Identifiers

PMID39469578
PMCPMC11513281

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.