Evidence map›Paper›PMID 38638956›Full record

ArticleHeliyon2024

Identification of shared gene signatures and biological mechanisms between preeclampsia and polycystic ovary syndrome.

Yaoxi Xiong, Chao Chen, Chengrong He, Xingyu Yang, Weiwei Cheng

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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 at 2 institutions in 1 country.

Yaoxi XiongInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, 200030, Shanghai, China.
Chao ChenInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, 200030, Shanghai, China.
Chengrong HeInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, 200030, Shanghai, China.
Xingyu YangInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, 200030, Shanghai, China.
Weiwei ChengInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, 200030, Shanghai, China.
Shanghai Jiao Tong University · CNInternational Peace Maternity & Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia (PE) is one of the most common complications of pregnancy and polycystic ovary syndrome (PCOS) is a prevalent metabolic and endocrinopathy disorder in women of reproductive age. Identifying the shared genetic signatures and molecular mechanisms between PCOS and PE was the objective of this study. The intersections of WGCNA module genes, PPI module genes, and PPI hub genes revealed that 8 immunity-related genes might be shared causative genes of PE and PCOS. Further, qRT-PCR results showed that TSIX/miR-223-3p/DDX58 might play a crucial role in immune dysregulation in PE and PCOS and Spearman rank correlation analysis results illustrated the potential of DDX58 as a novel diagnostic and therapeutic target for PE and PCOS. Our study demonstrated a common disease pathway model TSIX/miR-223-3p/DDX58, illustrating that immune dysregulation may be a possible mechanism of PE and PCOS, and revealed that DDX58 might be a novel predictive target for PE and PCOS.

Indexed as

BioinformaticsDDX58Polycystic ovary syndromePreeclampsiaWGCNA

Identifiers

PMID38638956
PMCPMC11024567
OpenAlexW4393941631

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.