@Article{biocell.2023.043864,
AUTHOR = {CONGCHEN BAI, QIHANG KONG, HAO TANG, SHUWEN ZHANG, JUNTENG ZHOU, XIAOJING LIU},
TITLE = {Diagnostic and classification value of immune-related lncRNAs in dilated cardiomyopathy},
JOURNAL = {BIOCELL},
VOLUME = {47},
YEAR = {2023},
NUMBER = {11},
PAGES = {2517--2533},
URL = {http://www.techscience.com/biocell/v47n11/54722},
ISSN = {1667-5746},
ABSTRACT = {<b>Background:</b> Various physiological mechanisms are linked to dilated cardiomyopathy (DCM) development,
including oxidative stress, immune irregularities, inflammation, fibrosis, and genetic changes. However, precise
molecular drivers of DCM, especially regarding abnormal immune responses, remain unclear. This study investigates
immune-related long non-coding RNAs (lncRNAs) in DCM’s diagnostic and therapeutic potential. <b>Methods:</b>
GSE141910, GSE135055, and GSE165303 datasets were acquired from the GEO database. LASSO, SVM-RFE, and
random forest algorithms identified DCM-associated immune-related lncRNAs. Diagnostic capabilities were assessed
by Nomogram and receiver operating characteristic (ROC) curves. Multivariate linear regression explored lncRNA
correlations with ejection fraction. Single-sample gene set enrichment analysis (ssGSEA) gauged immune cell
infiltration/functions. Functional enrichment analyses were performed using Gene set variation analysis (GSVA), gene
ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Consensus clustering categorized DCM
cases. <b>Results:</b> Ten immune-related lncRNAs emerged: C10orf71-AS1, FHAD1-AS1, SCIRT, FNDC1-AS1, MELTFAS1, LOC101928834, GDNF-AS1, DCXR-DT, C3orf36, and LOC107985323. These lncRNAs, tied to
immunomodulation, showed promising DCM diagnostic accuracy. Adjusted for confounders, they independently
correlated with ejection fraction. Using lncRNA expression, DCM patients were grouped into subtypes. Subtype C1
displayed a higher level of immune cell infiltration and immune checkpoint expression compared to subtype C2,
emphasizing the variations in the immune microenvironment. <b>Conclusion:</b> This study identifies ten immune-related
lncRNAs for further exploration in DCM diagnosis and subtyping. Based on expression patterns, we propose two
potential DCM subtypes. Notably, findings are preliminary and hypothesis-generating, demanding validation and
further investigation. This research provides insights into DCM diagnosis and classification.},
DOI = {10.32604/biocell.2023.043864}
}