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Identification and Molecular Mechanisms of PANoptosis-Related lncRNAs in Asthma
Yanzhi Cui1, Shuang Wei2, Lei Liang1
1Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.
Abstract:
Recent studies have highlighted the important role of PANoptosis in asthma. The purpose of this work was to find long noncoding RNAs (lncRNAs) associated with PANoptosis and assess their potential as asthma diagnostic biomarkers. We examined two publicly accessible datasets (GSE165934 and GSE195599). Diagnostic lncRNAs linked to PANoptosis were screened using logistic regression and least absolute shrinkage and selection operator (LASSO) models. Subcellular localization and immune microenvironmental features were assessed. A competitive endogenous RNA (ceRNA) network was created by combining starBase predictions with differentially expressed mRNAs. The levels of potential lncRNAs' transcriptional expression were further confirmed. Four of the seven differentially expressed lncRNAs found in both datasets (LUCAT1, RC3H1-IT1, FAM157A, and TTN-AS1) were verified as diagnostic lncRNAs linked to PANoptosis. When compared to controls, asthma samples showed clear changes in the makeup of immune cells and signaling pathways. Three lncRNAs were shown to be mostly localized in the cytoplasm, according to subcellular localization studies. A ceRNA regulation network with 154 interaction partners and 72 nodes was created. In comparison to normal samples, asthma samples exhibited substantially reduced expression of all four diagnostic lncRNAs. This study provides the first evidence linking PANoptosis-related lncRNAs to asthma. The identified lncRNAs (LUCAT1, RC3H1-IT1, FAM157A, and TTN-AS1) may serve as clinically relevant diagnostic biomarkers and offer novel insights into asthma pathogenesis, potentially supporting the development of improved therapeutic strategies.
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