Evidence map›Paper›PMID 33763111›Full record

ArticleFrontiers in genetics2021

Integrated Transcriptomic and Epigenetic Study of PCOS: Impact of

Yulan Qin, Ting Li, Hui Zhao, Zhanrui Mao, Chunxia Ding, Yani Kang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

17 citing papers in PubMed, 44 citations in OpenAlex.

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  17. Combined Multiomics Analysis Reveals the Role ofReproductive medicine and biology
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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

6 authors at 2 institutions in 1 country.

Yulan QinSchool of Biomedical Engineering, Bio-ID Center, Shanghai Jiao Tong University, Shanghai, China.
Ting LiDepartment of Obstetrics and Gynecology, Yuncheng Central Hospital, Yuncheng, China.
Hui ZhaoSchool of Biomedical Engineering, Bio-ID Center, Shanghai Jiao Tong University, Shanghai, China.
Zhanrui MaoSchool of Biomedical Engineering, Bio-ID Center, Shanghai Jiao Tong University, Shanghai, China.
Chunxia DingSchool of Biomedical Engineering, Bio-ID Center, Shanghai Jiao Tong University, Shanghai, China.
Yani KangSchool of Biomedical Engineering, Bio-ID Center, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a prevalent heterogeneous endocrine and metabolic disorder in women of reproductive age. Epigenetic mechanisms contribute to the development of PCOS. Nevertheless, the role of DNA methylation in the development of PCOS remains unclear. To investigate the molecular mechanisms underlying the hyperandrogenic phenotype of PCOS, dihydrotestosterone (DHT)-induced prenatally androgenized (PNA) mice were used to mimic this phenotype. Ovarian samples from PNA and control mice were subjected to methyl-CpG-binding domain (MBD)-seq and RNA-seq, and validation was conducted using methylation-specific polymerase chain reaction (MSP) and quantitative real-time PCR (RT-qPCR). Immunohistochemical analysis (using anti-LC3II antibody) and transmission electron microscopy were conducted using ovarian tissue sections (which included granulosa cells) from PNA and control mice. There were 857 genes with differentially methylated promoter regions and 3,317 differentially expressed genes (DEGs) in the PNA mice compared to the control mice. Downregulation of

Indexed as

autophagyDNA methylationMAPK pathwayPNA micepolycystic ovary syndrome

Identifiers

PMID33763111
PMCPMC7982605
OpenAlexW3134374993

What OpenQuestion 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 OpenQuestion graph.