Differential Regulation of the Immune System in Peripheral Blood Following Ischemic Stroke.
AIM. Previous studies have provided insights into complex immune system changes caused by ischemic stroke (IS), while detailed reports are lacking especially in peripheral blood. Here, we sought to identify genetic biomarkers in immune system which significantly associated with the occurrence of IS...
| Published in: | BioMed Research International pp. 1 - 16 |
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| Main Authors: | , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
6/8/2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157323868&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157323868 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/8/2022 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 157323868 157323868 157323868 10.1155/2022/2747043 157323868 ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Differential Regulation of the Immune System in Peripheral Blood Following Ischemic Stroke. aug: au: Liu, Wenhao Yang, Xin-Zhuang Zhang, Dingding He, Xin Yu, Qianlan Liu, Xinquan Dai, Yi affil: Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China sug: subj: Immune System Ischemic Stroke Gene Expression Biological Markers Human Matched Case Control Random Forest Logistic Regression Immunity Neural Networks (Computer) ab: AIM. Previous studies have provided insights into complex immune system changes caused by ischemic stroke (IS), while detailed reports are lacking especially in peripheral blood. Here, we sought to identify genetic biomarkers in immune system which significantly associated with the occurrence of IS and explore candidate drugs that can regulate the process. We also investigated whether gene expression alternation of immune genes contributed to differential distribution of immune cells in peripheral blood following IS. Method. 108 IS samples and 47 matched controls were obtained from the GEO database. Immune-related genes (IRGs) and their associated drugs were collected from the ImmPort and PharmGBK databases, respectively. Random forest (RF) regression and least absolute shrinkage and selection operator (LASSO) logistic regression were applied to identify immune-related genetic biomarkers (IRGBs) of IS, and accuracy was verified using neural network models. Finally, proportion changes of various immune cells in peripheral blood of IS patients were evaluated using CIBERSORT and xCell and correlation analyses were performed between IRGBs and differentially distributed immune cells. Results. A total of 537 genes were differentially expressed between IS and control samples. Four immune-related differential expressed genes identified by regression analysis presented strong predictive power (AUC = 0.909) which we suggeseted them as immune-related genetic biomarkers (IRGBs). We also demonstrated six immune-related genes targeted by known drugs. In addition, post-IS immune system presented an increase in the proportion of innate immune cells and a decrease in adaptive immune cells in the peripheral circulation, and IRGBs showing significance were associated with this process.Conclusion. The study identified CARD11, ICAM2, VIM, and CD19 as immune-related genetic biomarkers of IS. Six immune-related DEGs targeted by known drugs were found and provide new candidate drug targets for modulating the post-IS immune system. The innate immune cells and adaptive immune cells are diversified in the post-IS immune system, and IRGBs might play important role during this process. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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