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Integrated analysis of single <scp>cell‐RNA</scp> sequencing and Mendelian randomization identifies lactate dehydrogenase B as a target of melatonin in ischemic stroke

Fei Shi, Guiyun Zhang, Jinshi Li, Liang Shu, Cong Yu, Dabin Ren, Yisong Zhang, Ping Zheng

2024CNS Neuroscience & Therapeutics15 citationsDOIOpen Access PDF

Abstract

AIMS: Despite the success of single-cell RNA sequencing in identifying cellular heterogeneity in ischemic stroke, clarifying the mechanisms underlying these associations of differently expressed genes remains challenging. Several studies that integrate gene expression and gene expression quantitative trait loci (eQTLs) with genome wide-association study (GWAS) data to determine their causal role have been proposed. METHODS: Here, we combined Mendelian randomization (MR) framework and single cell (sc) RNA sequencing to study how differently expressed genes (DEGs) mediating the effect of gene expression on ischemic stroke. The hub gene was further validated in the in vitro model. RESULTS: We identified 2339 DEGs in 10 cell clusters. Among these DEGs, 58 genes were associated with the risk of ischemic stroke. After external validation with eQTL dataset, lactate dehydrogenase B (LDHB) is identified to be positively associated with ischemic stroke. The expression of LDHB has also been validated in sc RNA-seq with dominant expression in microglia and astrocytes, and melatonin is able to reduce the LDHB expression and activity in vitro ischemic models. CONCLUSION: Our study identifies LDHB as a novel biomarker for ischemic stroke via combining the sc RNA-seq and MR analysis.

Topics & Concepts

Mendelian randomizationGene expressionExpression quantitative trait lociGeneBiologyTranscriptomeGenome-wide association studyLactate dehydrogenaseIschemic strokeComputational biologyGeneticsSingle-nucleotide polymorphismMedicineGenotypeInternal medicineBiochemistryIschemiaGenetic variantsEnzymeGenetic Associations and EpidemiologyNeuroinflammation and Neurodegeneration MechanismsSingle-cell and spatial transcriptomics