长链非编码RNA与mRNA调控网络参与急性冠脉综合征发病进程并影响关键信号通路OA

Objective To identify key molecular biomarkers of acute coronary syndrome(ACS)through transcriptome sequencing and construction of mRNA-lncRNA co-expression net-works.Methods An ACS mouse model was established,and the modeling outcomes and cardiac pathological changes were comprehensively evaluated using physiological and pathological as-says.RNA sequencing(RNA-seq)was performed to obtain gene expression profiles across different samples.Bioinformatics analysis was then applied to explore gene expression changes and functional signaling pathways associated with ACS.Results After ACS modeling,experimental results such as HE staining,TTC staining,and Doppler ultrasound all indicated that ACS led to histopathological changes and dysfunction in mouse cardiac tissue.RNA-seq results revealed 2 557 DEGs that were co-upregulated in both ACS-M and ACS-S,and 1 930 DEGs that were co-downregulated,including mRNAs(DEmRNAs)and lncRNAs(DElncRNAs).Further GO functional enrichment analysis showed that these DElncRNAs regulated the differential expression of target genes related to mito-chondrial function,fatty acid metabolism,immune/inflammatory response,cell adhesion,apopto-sis,fibrosis,and other functions.Additionally,six expression patterns closely associated with ACS were identified.Among them,lncRNAs Dnm3os and Gm13054 were persistently highly expressed in ACS and their high expression characteristics were validated by RT-qPCR.Their downstream targets were closely related to mitochondrial function and tissue fibrosis.Gm13054 also exhibited potential regulatory functions for Nppa expression.Conclusion This study identified a large number of DEm-RNAs and DElncRNAs through RNA-seq,which have potential functions tightly associated with ACS.The construction of a co-expression network between mRNAs and lncRNAs provides potential therapeutic targets and a foundational basis for further clinical research on the diagnosis and treat-ment of ACS.