Study Of LncRNA Expression Profiles And Bioinformatics Analysis In Patients With Guillain-barré Syndrome

Background: Long noncoding RNAs(lnc RNAs)have emerged as a novel class of regulatory molecules involved in various biological processes and diseases,but their role in Guillain-Barré syndrome(GBS)remains unknown.Aim: The aim of our first study was to determine whether message RNAs(m RNAs)and long noncoding RNAs(lnc RNAs)are expressed differentially in patients with Guillain-Barré syndrome(GBS)compared with healthy controls.And in part two,we sought to determine the expression profile of several lnc RNAs in CD14+ peripheral blood mononuclear cells(PBMCs)from GBS patients and healthy control subjects to better understand their role in GBS.Methods: Study 1 Fifteen patients who fulfilled the standard diagnostic criteria for GBS and fifteen healthy controls contributed PBMCs for microarray analysis and m RMR analysis.Outstanding differences between lnc RNA and m RNA expression were verified through q RT-PCR.Lnc RNA functions were annotated for the target genes using the Gene Ontology(GO)database and the Kyoto Encyclopedia of Genes and Genomes(KEGG)biological pathway database.The potential regulatory relationships between the lnc RNAs and target genes were analyzed using a co-expression network.Study 2 Ten patients who fulfilled the standard diagnostic criteria for GBS were recruited.Four randomly chosen patients from these 10 and four healthy control subjects contributed PBMCs for microarray analysis.Lnc RNA functions were also annotated for the target genes using the Gene Ontology(GO)database and the Kyoto Encyclopedia of Genes and Genomes(KEGG)biological pathway database.The potential regulatory relationships between the lnc RNAs and target genes were analyzed using a co-expression network.Results: Study 1 The m RNA and lnc RNA profiles of GBS patients and healthy controls were generated by using microarray analysis.From microarray analysis,we listed 310 m RNAs and 114 lnc RNAs with the m RMR software classed into two sample groups,GBS patients and healthy controls.KEGG mapping demonstrated that the top seven signal pathways may play important roles in GBS development.Several GO terms,such as cytosol,cellular macromolecular complex assembly,cell cycle,ligase activity,protein catabolic process,etc.,were enriched in gene lists,suggesting a potential correlation with GBS development.Co-expression network analysis indicated that 113 lnc RNAs and 303 m RNAs were included in the co-expression network.Study 2 Lnc RNA and m RNA expression profile analyses revealed subsets of differentially expressed genes in CD14+ PBMCs from GBS patients compared to healthy control subjects.A total of 304 outstanding dysregulated expression lnc RNAs and 290 m RNAs were identified in GBS patients compared to healthy control subjects(fold change >2.0).The q RT-PCR results of dysregulated lnc RNAs and m RNAs were consistent with the microarray data.Several GO terms and KEGG pathways were very important in GBS pathogenesis.Some remarkable expressed transcripts(EGF,GP1 BA,JAM3,and ITGB3)and associated co-expression lnc RNAs were demonstrated using a co-expression network.Conclusions: These results provide a new perspective on the significance of lnc RNA and m RNA expression in CD14+ PBMCs from GBS patients.The GO and KEGG pathway enrichment analyses provide an annotation to determine the functions of these lnc RNAs and m RNAs.Conclusions: Our present study showed that these differentially expressed lnc RNAs and m RNAs may play important roles in GBS development,providing basic new information for defining the mechanism(s)that promote GBS.