Identification and analysis of co-disease genes between COVID-19 and osteoarthritis DOI Creative Commons
Qiang Zhang, Ninghao Liu, Dawei Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 11, 2024

Abstract Background: The molecular mechanisms of corona virus disease 2019 (COVID-19) and osteoarthritis (OA) are unclear, there is an urgent need to identify new biomarkers explore their potential in COVID-19 OA . Methods : GSE57218, GSE157103 training sets the GSE82107, GSE171110 validation were acquired via gene expression omnibus (GEO) database. First, differentially expressed genes (DEGs) between normal samples GSE57218 respectively sifted out by differential analysis. modules with highest correlation normal, non gained weighted co-expression network analysis (WGCNA), individually. Then, OA-DEGs intersected module that had significant OA, COVID-19-DEGs which dramatically correlated yield OA-intersected genes, respectively. candidate they analyzed for function enrichment Next, seven algorithms (Closeness, MCC, Degree, MNC, Radality, Stress EPC) performed on sift biomarkers. Finally, we constructed competing endogenous RNA (ceRNA), transcription factor (TF)/miRNA-mRNA drug-target regulatory networks. Results: There 1135 4336 sets, pink, blue brown correlations set, while pink notably COVID-19. We finally 715 2282 COVID-19-intersected genes. After intersecting above two 106 involved ADP metabolic process, nucleoside diphosphate phosphorylation, etc.. 7 biomarkers, namely AK1, APP, ENO1, TPI1, HSP90B1, HSPB1 ESR1, based algorithms. successfully ceRNA, TF/miRNA-mRNA Conclusion Through bioinformatic methods, explored (AK1, ESR1) combined providing ideas studies related treatment comorbidity.

Language: Английский

Potential diagnostic markers and therapeutic targets for periodontitis and Alzheimer's disease based on bioinformatics analysis DOI
Kai Yang, Zhaoqi Zhang, Qingyuan Zhang

et al.

Journal of Periodontal Research, Journal Year: 2024, Volume and Issue: 59(2), P. 366 - 380

Published: Jan. 8, 2024

Abstract Background and Objective As a chronic inflammatory disease, periodontitis threatens oral health is risk factor for Alzheimer's disease (AD). There growing evidence that these two diseases are closely related. However, current research still incomplete in understanding the common genes mechanisms between AD. In this study, we aimed to identify AD analyze relationship crucial immune cells provide new therapeutic targets clinical treatment. Materials Methods We evaluated differentially expressed (DEGs) specific Co‐expressed were identified by obtaining gene expression profile data from Gene Expression Omnibus (GEO) database. Using STRING database, protein–protein interaction (PPI) networks constructed, essential identified. also used four algorithms critical constructed regulatory networks. The association of with potential effects was assessed. Results PDGFRB, VCAN, TIMP1, CHL1, EFEMP2, IGFBP5 obtained as genes. Immune infiltration analysis showed Natural killer Myeloid‐derived suppressor significantly patients PD compared normal group. FOXC1 GATA2 important TFs MiR‐23a, miR‐23b, miR‐23a, miR‐23b associated PD. Finally, hub retrieved DSigDB database indicate multiple drug molecule drug–target interactions. Conclusion This study reveals commonalities AD, six may insights into directions pathogenesis complicated

Language: Английский

Citations

3
Relationship between periodontitis and COVID‐19: A bidirectional two‐sample Mendelian randomization study DOI Creative Commons
Jukun Song, Yadong Wu,

Xinhai Yin

et al.

Health Science Reports, Journal Year: 2023, Volume and Issue: 6(8)

Published: Aug. 1, 2023

Coronavirus disease (COVID-19) is a major danger to world health and has been linked periodontitis in number of epidemiological observational studies. However, it unclear whether COVID-19 causes periodontitis. COVID-19's causal influence on was determined using bidirectional Mendelian randomization (MR).

Language: Английский

Citations

6
The Role of Dysbiotic Oral Microbiota in Cardiometabolic Diseases: A Narrative Review DOI Creative Commons

Sylvie Lê,

Chiara Cecchin-Albertoni, Charlotte Thomas

et al.

Diagnostics, Journal Year: 2023, Volume and Issue: 13(20), P. 3184 - 3184

Published: Oct. 12, 2023

Over the past decade, there have been significant advancements in high-flow analysis of “omics,” shedding light on relationship between microbiota and host. However, full recognition this its implications cardiometabolic diseases are still underway, despite understanding pathophysiology these conditions. Cardiometabolic diseases, which include a range conditions from insulin resistance to cardiovascular disease type 2 diabetes, continue be leading cause mortality worldwide, with persistently high morbidity rate. While link intestinal risks has extensively explored, role oral microbiota, second-largest human body, specifically dysbiosis causing complications, remains incompletely defined. This review aims examine association focusing particularly periodontal disease. Additionally, we will dive into mechanistic aspects that contribute development complications. Finally, discuss potential prevention treatment strategies, including use prebiotics, probiotics, other interventions.

Language: Английский

Citations

6
Integrated bioinformatics analysis identifies shared immune changes between ischemic stroke and COVID 19 DOI Creative Commons
Wenhao Liu,

Fei Han,

Mengyao Wan

et al.

Frontiers in Immunology, Journal Year: 2023, Volume and Issue: 14

Published: March 8, 2023

Although COVID-19 is primarily a respiratory disease, its neurological complications, such as ischemic stroke (IS), have aroused growing concerns and reports. However, the molecular mechanisms that underlie IS are not well understood. Therefore, we implemented transcriptomic analysis from eight GEO datasets consist of 1191 samples to detect common pathways biomarkers in help understand linkage between them. Differentially expressed genes (DEGs) were detected for separately finding shared found immune-related outlined with statistical significance. JAK2 , which was identified hub gene, supposed be potential therapeutic gene targets during immunological process IS. Besides, decrease proportion CD8 + T helper 2 cells peripheral circulation both COVID patients, NCR3 expression significantly correlated this change. In conclusion, demonstrated analyses reported study could make deeper understanding mechanism might promising effective COVID-19.

Language: Английский

Citations

5
Association Between Periodontitis and COVID-19 DOI Creative Commons

Tayeb Al-Hadeethi,

Priti Charde, Sruthi Sunil

et al.

Current Oral Health Reports, Journal Year: 2024, Volume and Issue: 11(1), P. 1 - 7

Published: Jan. 3, 2024

Abstract Purpose of Review Periodontitis has been linked to various systemic diseases and conditions. Given their shared comorbidities, extensive research carried out explore the link between periodontitis COVID-19. Recent Findings A growing body evidence suggests that could increase risk COVID-19 infection its complications. It suggested association two be due immunological, coagulation, genetic, microbiological reasons. The effect on immune system expression receptors used by SARS-CoV2 infect cells (transmembrane protease, serine 2 [TMPRSS2], angiotensin-converting enzyme [ACE2]) prime an exacerbated reaction against virus. Moreover, there is indicating also complications altering coagulation pathways, periodontal pathogens were identified in respiratory patients suffering from severe In addition, it was found both share some genetic similarities, suggesting through common pathways. Summary this review, we discuss above-mentioned associations make case for prevention treatment avoid SARS-CoV-2

Language: Английский

Citations

1
Identification and analysis of co-disease genes between COVID-19 and osteoarthritis DOI Creative Commons
Qiang Zhang, Ninghao Liu, Dawei Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 11, 2024

Abstract Background: The molecular mechanisms of corona virus disease 2019 (COVID-19) and osteoarthritis (OA) are unclear, there is an urgent need to identify new biomarkers explore their potential in COVID-19 OA . Methods : GSE57218, GSE157103 training sets the GSE82107, GSE171110 validation were acquired via gene expression omnibus (GEO) database. First, differentially expressed genes (DEGs) between normal samples GSE57218 respectively sifted out by differential analysis. modules with highest correlation normal, non gained weighted co-expression network analysis (WGCNA), individually. Then, OA-DEGs intersected module that had significant OA, COVID-19-DEGs which dramatically correlated yield OA-intersected genes, respectively. candidate they analyzed for function enrichment Next, seven algorithms (Closeness, MCC, Degree, MNC, Radality, Stress EPC) performed on sift biomarkers. Finally, we constructed competing endogenous RNA (ceRNA), transcription factor (TF)/miRNA-mRNA drug-target regulatory networks. Results: There 1135 4336 sets, pink, blue brown correlations set, while pink notably COVID-19. We finally 715 2282 COVID-19-intersected genes. After intersecting above two 106 involved ADP metabolic process, nucleoside diphosphate phosphorylation, etc.. 7 biomarkers, namely AK1, APP, ENO1, TPI1, HSP90B1, HSPB1 ESR1, based algorithms. successfully ceRNA, TF/miRNA-mRNA Conclusion Through bioinformatic methods, explored (AK1, ESR1) combined providing ideas studies related treatment comorbidity.

Language: Английский

Citations

0