Identification of shared pathogenetic mechanisms between COVID-19 and IC through bioinformatics and system biology

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 24, 2024

Abstract COVID-19 increased global mortality in 2019. Cystitis became a contributing factor SARS-CoV-2 and complications. The complex molecular links between cystitis are unclear. This study investigates COVID-19-associated (CAC) mechanisms drug candidates using bioinformatics systems biology. Obtain the gene expression profiles of IC (GSE11783) (GSE147507) from Gene Expression Omnibus (GEO) database. Identified common differentially expressed genes (DEGs) both COVID-19, extracted number key this group. Subsequently, conduct Ontology (GO) functional enrichment Kyoto Encyclopedia Genes Genomes (KEGG) analysis on DEGs. Additionally, design protein–protein interaction (PPI) network, transcription regulatory TF miRNA disease association network Identify extract hub PPI network. Then construct Nomogram diagnostic prediction models based genes. DSigDB database was used to forecast many potential medicines that associated with Assess precision diagnosing by employing Receiver Operating Characteristic (ROC) curves. dataset (GSE57560) (GSE171110) were selected validate models' accuracy. A grand total 198 DEGs overlapped found chosen for further research. FCER1G, ITGAM, LCP2, LILRB2, MNDA, SPI1, TYROBP screened as model, built seven genes, demonstrates significant utility model COVID-19. Multiple have been discovered. These pathways, may provide new perspectives future research into guide personalised effective therapeutics patients infected

Язык: Английский

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Exploring the mechanism of Corbrin capsules in the intervention of AKI-COVID-19 based on network pharmacology combined with GEO dataset

Gene, Год журнала: 2024, Номер 916, С. 148438 - 148438

Опубликована: Апрель 4, 2024

Язык: Английский

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Therapeutic effect and potential mechanism of curcumin, an active ingredient in Tongnao Decoction, on COVID-19 combined with stroke: a network pharmacology study and GEO database mining

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 29, 2024

Background The onset of severe acute respiratory syndrome coronavirus type 2 at the end 2019 led to a global pandemic diseases, commonly known as COVID-19, caused by this highly infectious and pathogenic coronavirus. As members Fifth-batch National TCM Medical Team sent Affiliated Hospital Nanjing University Chinese Medicine assist Wuhan Jiangxia Mobile Cabin Hospital, it was observed that patients with COVID-19 had an elevated incidence stroke are prone progression. possible mechanisms included neuroinvasion virus, imbalance between ACE1 ACE2, hypercoagulability, pre-thrombotic state. However, effective treatment options not yet available. Developed Department Neurology, Medicine, Tongnao Decoction (TND) is prescribed medication. chemical components within TND extract were previously examined using Waters ACQUITY UPLC ultra-performance liquid chromatography. Notably, identified constituents, including curcumin, exhibited protective effects on brain cells. In current investigation, bioinformatics techniques employed mine GEO database, aiming assess functional role potential action mechanism curcumin therapeutic agent for combined stroke.Tongnao Methods datasets retrieved from database identify differentially intersecting genes (DIGs) two diseases. These DIGs then exposed Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment analyses employing clusterProfiler TF in Trrust (TF TRRUST). Core found be target DEGs-related Stroke COVID. overlapping set these yielded intersected genes, which imported into DGIdb website drug prediction. Subsequently, selected core drugs subjected validation cMAP website. Target prediction performed four online platforms: SEA, SwissTargetPrediction, TargetNet, TCMSP. obtained results String create interaction network comprising enriched pathways. Additionally, molecular docking AutoDock software. Finally, scoring applied targets. Results intersection DEGs dataset GSE16561 COVID GSE211979 205 genes. E2F3, BCL6, ETS2, CEBPD, STAT1, MXD1, NFIL3, HDAC4, MMP9, CD163, FCGR1A, IFIT3, LY96, PLSCR1, TNFSF10:E2F3, TNFSF10, GO KEGG utilizing clusterProfiler. 17 drugs. Curcumin inhibits NF-κb MAPKs possesses various pharmacological encompassing anti-proliferative, anti-oxidant, anti-inflammatory, anti-angiogenic effects. six targets CCNA2, JAK2, PPARG, PTGS2, STAT3 scores -2.86, -2.98, -5.01, -2.42, -3.83, − 2.28, respectively. Conclusion Curcumin, active ingredient TND, can effectively intervene through pathways, most important MMP9.

Язык: Английский

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Lessons learned from patient outcomes when lowering hemoglobin transfusion thresholds during COVID-19 blood shortages

American Journal of Clinical Pathology, Год журнала: 2023, Номер 160(2), С. 175 - 184

Опубликована: Апрель 22, 2023

This study examines whether patient outcomes were affected when the hemoglobin (Hb) transfusion threshold was lowered by 1 g/dL during COVID-19-related blood shortages.Outcomes of Hb thresholds (from <7 to <6 g/dL) defined 14-month intervals in 2 groups (prepandemic [January 2019-February 2020] and pandemic [April 2020-May 2021]). We evaluated admissions, pretransfusion (if transfused) or nadir admission not levels between 5.0 8.0 g/dL, total red cell (RBC) transfusions transfused). Baseline variables selected from electronic health records. Primary admissions excluded. Regression analysis conducted determine outcomes.Those prepandemic group (1976) (1547) transfused. Fewer RBCs (2186, vs 3337) used than group, respectively. Those had significantly higher rates hypertension diabetes as well more smokers. Significant differences observed comparing number procedures incidence sepsis groups. Similar patterns for transfused subgroups.Patient after implementing lower thresholds. Although confounding factors mitigated, some may have been associated with sepsis. Proactive management strategies shortages include adopting

Язык: Английский

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Identifying hub genes and common biological pathways between COVID-19 and benign prostatic hyperplasia by machine learning algorithms

Frontiers in Immunology, Год журнала: 2023, Номер 14

Опубликована: Июнь 23, 2023

Background COVID-19, a serious respiratory disease that has the potential to affect numerous organs, is threat health of people around world. The objective this article investigate biological targets and mechanisms by which SARS-CoV-2 affects benign prostatic hyperplasia (BPH) related symptoms. Methods We downloaded COVID-19 datasets (GSE157103 GSE166253) BPH (GSE7307 GSE132714) from Gene Expression Omnibus (GEO) database. In GSE157103 GSE7307, differentially expressed genes (DEGs) were found using “Limma” package, intersection was utilized obtain common DEGs. Further analyses followed, including those Protein-Protein Interaction (PPI), Ontology (GO) function enrichment analysis, Kyoto Encyclopedia Genes Genomes (KEGG). Potential hub screened three machine learning methods, they later verified GSE132714 GSE166253. CIBERSORT analysis identification transcription factors, miRNAs, drugs as candidates among subsequent analyses. Results identified 97 DEGs GSE7307. According GO KEGG analyses, primary gene pathways immune-related pathways. Machine methods used identify five (BIRC5, DNAJC4, DTL, LILRB2, NDC80). They had good diagnostic properties in training sets validated validation sets. closely CD4 memory activated T cells, cells regulatory NK activated. top 10 drug (lucanthone, phytoestrogens, etoposide, dasatinib, piroxicam, pyrvinium, rapamycin, niclosamide, genistein, testosterone) will also be evaluated P value, expected helpful for treatment COVID-19-infected patients with BPH. Conclusion Our findings reveal signaling pathways, possible targets, promising small molecule COVID-19. This crucial understand pathogenic susceptibility between them.

Язык: Английский

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