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2021;9 e11018.

Integrated analysis of immune-related long noncoding RNAs as diagnostic biomarkers in psoriasis.

Feixiang Fan, Zhen Huang, Yongfeng Chen
Author Information
  1. Feixiang Fan: Department of Dermatology, Dermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  2. Zhen Huang: Department of Dermatology, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China.
  3. Yongfeng Chen: Department of Dermatology, Dermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
PMID: 33732554 DOI: 10.7717/peerj.11018

Abstract

BACKGROUND: Psoriasis is a chronic immune-mediated inflammatory dermatosis. Long noncoding RNAs (lncRNAs) play an important role in immune-related diseases. This study aimed to identify potential immune-related lncRNA biomarkers for psoriasis.
METHODS: We screened differentially expressed immune-related lncRNAs biomarkers using GSE13355 (skin biopsy samples of 180 cases) from Gene Expression Omnibus (GEO). Moreover, Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and Gene Set Enrichment Analysis (GSEA) were performed to explore biological mechanisms in psoriasis. In addition, we performed LASSO logistic regression to identify potential diagnostic lncRNAs and further verify the diagnostic value and relationship with drug response using two validation sets: GSE30999 (skin biopsy samples of 170 cases) and GSE106992 (skin biopsy samples of 192 cases). Furthermore, we estimated the degree of infiltrated immune cells and investigated the correlation between infiltrated immune cells and diagnostic lncRNA biomarkers.
RESULTS: A total of 394 differentially expressed genes (DEGs) were extracted from gene expression profile. GO and KEGG analysis of target genes found that immune-related lncRNAs were primarily associated with epidermis development, skin development, collagen-containing extracellular matrix, and glycosaminoglycan binding and mainly enriched in cytokine-cytokine receptor interaction and influenza A and chemokine signaling pathway. We found that LINC01137, LINC01215, MAPKAPK5-AS1, TPT1-AS1, CARMN, CCDC18-AS1, EPB41L4A-AS, and LINC01214 exhibited well diagnostic efficacy. The ROC and ROC CI were 0.944 (0.907-0.982), 0.953 (0.919-0.987), 0.822 (0.758-0.887), 0.854 (0.797-0.911), 0.957(0.929-0.985), 0.894 (0.846-0.942), and 0.964 (0.937-0.991) for LINC01137, LINC01215, MAPKAPK5-AS1, TPT1-AS1,CARMN, CCDC18-AS1, EPB41L4A-AS1, and LINC01214. LINC01137, LINC01215, and LINC01214 were correlated with drug response. LINC01137, CCDC18-AS1, and CARMN were positively correlated with activated memory CD4 T cell, activated myeloid dendritic cell (DC), neutrophils, macrophage M1, and T follicular helper (Tfh) cells, while negatively correlated with T regulatory cell (Treg). LINC01215, MAPKAPK5-AS1, TPT1-AS1, EPB41L4A-AS, and LINC01214 were negatively correlated with activated memory CD4 T cell, activated myeloid DC, neutrophils, macrophage M1, and Tfh, while positively correlated with Treg.
CONCLUSIONS: These findings indicated that these immune-related lncRNAs may be used as potential diagnostic and predictive biomarkers for psoriasis.

Keywords

Biomarker Dermatosis Immune cell Psoriasis lncRNA

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Created with Highcharts 10.0.00immune-relateddiagnosticlncRNAsbiomarkerscorrelatedcellpsoriasisskinanalysisLINC01137LINC01215LINC01214activatedTpotentiallncRNAbiopsysamplescasesGenecellsMAPKAPK5-AS1TPT1-AS1CARMNCCDC18-AS1PsoriasisnoncodingRNAsidentifydifferentiallyexpressedusingGOKEGGperformeddrugresponseinfiltratedimmunegenesfounddevelopmentEPB41L4A-ASROCpositivelymemoryCD4myeloidDCneutrophilsmacrophageM1TfhnegativelyTregBACKGROUND:chronicimmune-mediatedinflammatorydermatosisLongplayimportantrolediseasesstudyaimedMETHODS:screenedGSE13355180ExpressionOmnibusGEOMoreoverOntologyKyotoEncyclopediaGenesGenomesSetEnrichmentAnalysisGSEAexplorebiologicalmechanismsadditionLASSOlogisticregressionverifyvaluerelationshiptwovalidationsets:GSE30999170GSE106992192FurthermoreestimateddegreeinvestigatedcorrelationRESULTS:total394DEGsextractedgeneexpressionprofiletargetprimarilyassociatedepidermiscollagen-containingextracellularmatrixglycosaminoglycanbindingmainlyenrichedcytokine-cytokinereceptorinteractioninfluenzachemokinesignalingpathwayexhibitedwellefficacyCI944907-0982953919-0987822758-0887854797-0911957929-0985894846-0942964937-0991EPB41L4A-AS1dendriticfollicularhelperregulatoryCONCLUSIONS:findingsindicatedmayusedpredictiveIntegratedlongBiomarkerDermatosisImmune

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