AS03-adjuvanted H5N1 vaccine enhances immune response by modulating NR4A1, SDC1, ID3 genes, and reducing cortisol DOI Creative Commons

Lairun Jin,

Jingxin Li, Fengcai Zhu

et al.

Human Vaccines & Immunotherapeutics, Journal Year: 2024, Volume and Issue: 20(1)

Published: Nov. 21, 2024

The AS03-adjuvanted H5N1 influenza vaccine induces significantly higher immune responses compared to the non-adjuvanted vaccine. However, immunological mechanisms underlying this enhancement remain unclear. We aimed identify key genes and pathways involved in response expression profiles of GSE102012 GSE112293 were downloaded from Gene Expression Omnibus database differentially expressed between groups. Subsequently, Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment analyses performed using Database for Annotation, Visualization, Integrated Discovery online tool. protein–protein interaction (PPI) networks constructed by Search Tool Retrieval Interacting database. Through cluster analysis PPI network, three hub genes, namely NR4A1, SDC1, ID3, identified as pivotal players intricate network interactions. ID3 was up-regulated, other two down-regulated. results GO highlighted seven biological processes, cellular components, molecular functions among genes. KEGG revealed involvement Cushing syndrome pathway. may enhance through suppressing NR4A1 gene SDC1 gene, upregulating reducing cortisol production

Language: Английский

1-L Transcription of SARS-CoV-2 Spike Protein S1 Subunit DOI Open Access
Jozef Nahálka

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(8), P. 4440 - 4440

Published: April 18, 2024

The COVID-19 pandemic prompted rapid research on SARS-CoV-2 pathogenicity. Consequently, new data can be used to advance the molecular understanding of infection. present bioinformatics study discusses "spikeopathy" at level and focuses possible post-transcriptional regulation spike protein S1 subunit in host cell/tissue. A theoretical protein-RNA recognition code was check compatibility with mRNAs human transcriptome (1-L transcription). principle for this method is elucidated defined RNA binding GEMIN5 (gem nuclear organelle-associated 5) RNU2-1 (U2 spliceosomal RNA). Using described here, it shown that 45% genes/proteins identified by 1-L transcription are directly linked COVID-19, 39% indirectly 16% cannot currently associated COVID-19. stroke, diabetes, cardiac injury.

Language: Английский

Citations

1

Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology DOI Creative Commons
Xiao Ma, Tengda Huang, Xiaoquan Li

et al.

Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11

Published: Sept. 20, 2024

Background Coronavirus disease 2019 (COVID-19), an infectious caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has a global pandemic. Gastric cancer (GC) poses great threat to people’s health, which is high-risk factor for COVID-19. Previous studies have found some associations between GC and COVID-19, whereas the underlying molecular mechanisms are not well understood. Methods We employed bioinformatics systems biology explore these links Gene expression profiles of COVID-19 (GSE196822) (GSE179252) were obtained from Expression Omnibus (GEO) database. After identifying shared differentially expressed genes (DEGs) functional annotation, protein-protein interaction (PPI) network, hub genes, transcriptional regulatory networks candidate drugs analyzed. Results identified 209 DEGs GC. Functional analyses highlighted immune-related pathways as key players in both diseases. Ten ( CDK1 , KIF20A TPX2 UBE2C HJURP CENPA PLK1 MKI67 IFI6 IFIT2 ) identified. The transcription factor/gene miRNA/gene 38 factors (TFs) 234 miRNAs. More importantly, we ten potential therapeutic agents, including ciclopirox, resveratrol, etoposide, methotrexate, trifluridine, enterolactone, troglitazone, calcitriol, dasatinib deferoxamine, been reported improve treat Conclusion This research offer valuable insights into interplay GC, potentially guiding future strategies.

Language: Английский

Citations

1

Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology DOI Open Access
Xiao Ma, Tengda Huang, Xiaoquan Li

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 4, 2024

Abstract Background Coronavirus disease 2019 (COVID-19), an infectious caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has a global pandemic. Gastric cancer (GC) poses great threat to people’s health, which is high- risk factor for COVID-19. Previous studies have found some associations between GC and COVID-19, whereas the underlying molecular mechanisms are not well understood. Methods We used bioinformatics systems biology approach investigate relationship The gene expression profiles of COVID-19 (GSE196822) (GSE179252) were downloaded from Gene Expression Omnibus (GEO) database. After identifying shared differentially expressed genes (DEGs) functional annotation, protein-protein interaction (PPI) network, hub genes, transcriptional regulatory networks candidate drugs analyzed. Results A total 209 DEGs identified explore linkages GC. Functional analyses showed that Immune-related pathway collectively participated in development progression In addition, there selected 10 including CDK1 , KIF20A TPX2 UBE2C HJURP CENPA PLK1 MKI67 IFI6 IFIT2 . transcription factor/gene miRNA/gene 38 factors (TFs) 234 miRNAs. More importantly, we ten potential therapeutic agents, ciclopirox, resveratrol, etoposide, methotrexate, trifluridine, enterolactone, troglitazone, calcitriol, dasatinib deferoxamine, been reported improve treat This study also provides insight into diseases most associated with mutual DEGs, may provide new ideas research on treatment Conclusions possibility be contributed effective

Language: Английский

Citations

0

AS03-adjuvanted H5N1 vaccine enhances immune response by modulating NR4A1, SDC1, ID3 genes, and reducing cortisol DOI Creative Commons

Lairun Jin,

Jingxin Li, Fengcai Zhu

et al.

Human Vaccines & Immunotherapeutics, Journal Year: 2024, Volume and Issue: 20(1)

Published: Nov. 21, 2024

The AS03-adjuvanted H5N1 influenza vaccine induces significantly higher immune responses compared to the non-adjuvanted vaccine. However, immunological mechanisms underlying this enhancement remain unclear. We aimed identify key genes and pathways involved in response expression profiles of GSE102012 GSE112293 were downloaded from Gene Expression Omnibus database differentially expressed between groups. Subsequently, Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment analyses performed using Database for Annotation, Visualization, Integrated Discovery online tool. protein–protein interaction (PPI) networks constructed by Search Tool Retrieval Interacting database. Through cluster analysis PPI network, three hub genes, namely NR4A1, SDC1, ID3, identified as pivotal players intricate network interactions. ID3 was up-regulated, other two down-regulated. results GO highlighted seven biological processes, cellular components, molecular functions among genes. KEGG revealed involvement Cushing syndrome pathway. may enhance through suppressing NR4A1 gene SDC1 gene, upregulating reducing cortisol production

Language: Английский

Citations

0