Evidence map›Paper›PMID 36845376›Full record

ReviewFrontiers in genetics2023

Role of lncRNAs in the pathogenic mechanism of human decreased ovarian reserve.

Zhexi Lv, Zekai Lv, Linjiang Song, Qinxiu Zhang, Shaomi Zhu

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. Article
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

5 authors.

Zhexi LvSchool of Medical and Life Sciences/Affiliated Reproductive and Women-Children Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Zekai LvState Key Laboratory of Biotherapy, Sichuan University, Chengdu, China.
Linjiang SongSchool of Medical and Life Sciences/Affiliated Reproductive and Women-Children Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Qinxiu ZhangSchool of Medical and Life Sciences/Affiliated Reproductive and Women-Children Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Shaomi ZhuSchool of Medical and Life Sciences/Affiliated Reproductive and Women-Children Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decreased ovarian reserve (DOR) is defined as a decrease in the quality and quantity of oocytes, which reduces ovarian endocrine function and female fertility. The impaired follicular development and accelerated follicle atresia lead to a decrease in the number of follicles, while the decline of oocyte quality is related to the disorder of DNA damage-repair, oxidative stress, and the dysfunction of mitochondria. Although the mechanism of DOR is still unclear, recent studies have found that long non-coding RNA (lncRNA) as a group of functional RNA molecules participate in the regulation of ovarian function, especially in the differentiation, proliferation and apoptosis of granulosa cells in the ovary. LncRNAs participate in the occurrence of DOR by affecting follicular development and atresia, the synthesis and secretion of ovarian hormones. This review summarizes current research on lncRNAs associated with DOR and reveals the potential underlying mechanisms. The present study suggests that lncRNAs could be considered as prognostic markers and treatment targets for DOR.

Indexed as

decreased ovarian reservegranulosa celllong non-coding RNAovarian dysfunctionovarian function

Identifiers

PMID36845376
PMCPMC9944763

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.