首页|Jilin University Reports Findings in Bioinformatics (Identification of cross-tal k pathways and PANoptosis-related genes in periodontitis and Alzheimer’s disease by bioinformatics analysis and machine learning)
Jilin University Reports Findings in Bioinformatics (Identification of cross-tal k pathways and PANoptosis-related genes in periodontitis and Alzheimer’s disease by bioinformatics analysis and machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting originating in Changchun, People’s Republic of China, by NewsRx journalists, research stated, “ Periodontitis (PD), a chronic inflammatory disease, is a serious threat to oral health and is one of the risk factors for Alzheimer’s disease (AD). A growing bo dy of evidence suggests that the two diseases are closely related.” The news reporters obtained a quote from the research from Jilin University, “Ho wever, current studies have not provided a comprehensive understanding of the co mmon genes and common mechanisms between PD and AD. This study aimed to screen t he crosstalk genes of PD and AD and the potential relationship between cross-tal k and PANoptosis-related genes. The relationship between core genes and immune c ells will be analyzed to provide new targets for clinical treatment. The PD and AD datasets were downloaded from the GEO database and differential expression an alysis was performed to obtain DEGs. Overlapping DEGs had cross-talk genes linki ng PD and OP, and PANoptosis-related genes were obtained from a literature revie w. Pearson coefficients were used to compute cross-talk and PANoptosis-related g ene correlations in the PD and AD datasets. Cross-talk genes were obtained from the intersection of PD and AD-related genes, protein-protein interaction(PPI) ne tworks were constructed and cross-talk genes were identified using the STRING da tabase. The intersection of cross-talk and PANoptosis-related genes was defined as cross-talk-PANoptosis genes. Core genes were screened using ROC analysis and XGBoost. PPI subnetwork, gene-biological process, and gene-pathway networks were constructed based on the core genes. In addition, immune infiltration on the PD and AD datasets was analyzed using the CIBERSORT algorithm. 366 cross-talk gene s were overlapping between PD DEGs and AD DEGs. The intersection of cross-talk g enes with 109 PANoptosis-related genes was defined as cross-talk-PANoptosis gene s. ROC and XGBoost showed that MLKL, DCN, IL1B, and IL18 were more accurate than the other cross-talk-PANoptosis genes in predicting the disease, as well as bet ter in overall characterization. GO and KEGG analyses showed that the four core genes were involved in immunity and inflammation in the organism. Immune infiltr ation analysis showed that B cells naive, Plasma cells, and T cells gamma delta were significantly differentially expressed in patients with PD and AD compared with the normal group. Finally, 10 drugs associated with core genes were retriev ed from the DGIDB database. This study reveals the joint mechanism between PD an d AD associated with PANoptosis.”
ChangchunPeople’s Republic of ChinaA siaAlzheimer DiseaseBioinformaticsBiotechnologyBrain Diseases and Condit ionsCentral Nervous System Diseases and ConditionsCyborgsDementiaEmergin g TechnologiesGeneticsHealth and MedicineInformation TechnologyMachine L earningMouth Diseases and ConditionsNeurodegenerative Diseases and Condition sPeriodontal Diseases and ConditionsPeriodontitisRisk and PreventionTauo pathies
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