共 76 条
Bioinformatics-based analysis of the dialog between COVID-19 and RSA
被引:2
作者:
Bi, Yin
[1
,2
,3
]
Li, Ting
[1
,2
,3
]
Zhang, Shun
[4
]
Yang, Yihua
[1
,2
,3
]
Dong, Mingyou
[1
,5
]
机构:
[1] Guangxi Med Univ, Guangxi Reprod Med Ctr, Affiliated Hosp 1, Nanning 530000, Peoples R China
[2] Guangxi Med Univ, Guangxi Key Lab Immunol & Metab Liver Dis, Nanning 530000, Peoples R China
[3] Guangxi Med Univ, Key Lab Early Prevent & Treatment Reg High Frequen, Minist Educ, Nanning 530000, Peoples R China
[4] Guilin Med Univ, Dept Reprod, Affiliated Hosp, Med Ctr, Guilin 541001, Guangxi, Peoples R China
[5] Youjiang Med Univ Nationalities, Key Lab Mol Pathol For Hepatobiliary Dis Guangxi, Affiliated Hosp, Baise 533000, Peoples R China
来源:
关键词:
COVID-19;
Recurrent spontaneous abortion;
Common differentially expressed genes;
Central hub genes;
Small molecular compounds;
RECURRENT;
GENE;
EXPRESSION;
DEGRADATION;
BIOGENESIS;
ACTIVATION;
EVOLUTION;
GENOMICS;
DISGENET;
TARGETS;
D O I:
10.1016/j.heliyon.2024.e30371
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
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.
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