Combinatorial Chemistry & High Throughput ScreeningCombinatorial Chemistry & High Throughput ScreeningCombinatorial Chemistry & High Throughput Screening1386-20731875-5402Bentham Science64417010.2174/1386207326666230907115800ChemistryResearch ArticleLong Non-coding RNAs Influence Aging Process of Sciatic Nerves in SD RatsKuangRuiinfo@benthamscience.netZhangYiinfo@benthamscience.netWuGuanggenginfo@benthamscience.netZhuZhaoweiinfo@benthamscience.netXuShuqiainfo@benthamscience.netLiuXiangxiainfo@benthamscience.netXuYangbininfo@benthamscience.netLuoYunxianginfo@benthamscience.netDepartment of Plastic Surgery, First Affiliated Hospital of Sun Yat-sen UniversityDepartment of Plastic Surgery, University of Tennessee Health Science Center1507202427142140215007012025Copyright ©; 2024, Bentham Science Publishers2024Bentham Science Publishershttps://rjpbr.com/1386-2073/article/view/644170

Objectives:To investigate the long non-coding RNAs (lncRNAs) changes in the sciatic nerve (SN) in Sprague Dawley (SD) rats during aging.

Methods:Eighteen healthy SD rats were selected at the age of 1 month (1M) and 24 months (24M) and SNs were collected. High-throughput transcriptome sequencing and bioinformatics analysis were performed. Protein-protein interaction (PPI) networks and competing endogenous RNA (ceRNA) networks were established according to differentially expressed genes (DEGs).

Result:As the length of lncRNAs increased, its proportion to the total number of lncRNAs decreased. A total of 4079 DElncRNAs were identified in Con vs. 24M. GO analysis was primarily clustered in nerve and lipid metabolism, extracellular matrix, and vascularization-related fields. There were 17 nodes in the PPI network of the target genes of up-regulating genes including Itgb2, Lox, Col11a1, Wnt5a, Kras, etc. Using quantitative RT-PCR, microarray sequencing accuracy was validated. There were 169 nodes constructing the PPI network of down-regulated target genes, mainly including Col1a1, Hmgcs1, Hmgcr. CeRNA interaction networks were constructed.

Conclusion:Lipid metabolism, angiogenesis, and ECM fields might play an important role in the senescence process in SNs. Col3a1, Serpinh1, Hmgcr, and Fdps could be candidates for nerve aging research.

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