Evidence map›Paper›PMID 38737245›Full record

ArticleHeliyon2024

Bioinformatics-based analysis of the dialog between COVID-19 and RSA.

Yin Bi, Ting Li, Shun Zhang, Yihua Yang, Mingyou Dong

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Yin BiGuangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China.
Ting LiGuangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China.
Shun ZhangDepartment of Reproductive Medical Center, The Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001, China.
Yihua YangGuangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China.
Mingyou DongGuangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnant women infected with SARS-CoV-2 in early pregnancy may face an increased risk of miscarriage due to immune imbalance at the maternal-fetal interface. However, the molecular mechanisms underlying the crosstalk between COVID-19 infection and recurrent spontaneous abortion (RSA) remain poorly understood. This study aimed to elucidate the transcriptomic molecular dialog between COVID-19 and RSA. Based on bioinformatics analysis, 307 common differentially expressed genes were found between COVID-19 (GSE171110) and RSA (GSE165004). Common DEGs were mainly enriched in ribosome-related and cell cycle-related signaling pathways. Using degree algorithm, the top 10 hub genes (RPS27A, RPL5, RPS8, RPL4, RPS2, RPL30, RPL23A, RPL31, RPL26, RPL37A) were selected from the common DEGs based on their scores. The results of the qPCR were in general agreement with the results of the raw letter analysis. The top 10 candidate drugs were also selected based on P-values. In this study, we provide molecular markers, signaling pathways, and small molecule compounds that may associate COVID-19. These findings may increase the accurate diagnosis and treatment of COVID-19 patients.

Indexed as

Central hub genesCommon differentially expressed genesCOVID-19Recurrent spontaneous abortionSmall molecular compounds

Identifiers

PMID38737245
PMCPMC11088317

What Socratic 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 Socratic graph.