Wu Jie, Qin Yong, Li Zhirui, Li Jiantao, Li Litao, Tao Sheng, Liu Daohong
Department of Orthopedics, The Eighth Medical Center of PLA General Hospital, Beijing, China.
Department of Orthopedics, Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Ann Transl Med. 2021 Sep;9(17):1383. doi: 10.21037/atm-21-3626.
This study aims to explore the molecular mechanism of negative pressure wound therapy (NPWT) at the transcriptome level through whole transcriptome sequencing and biometric analysis.
A rat skin defect model was constructed and randomly divided into a NPWT group and a gauze group. The tissue in the center of the wound was used for whole transcriptome sequencing, and differentially expressed messenger RNAs (DEmRNAs), long noncoding RNAs (DElncRNAs), and microRNAs (DEmiRNAs) were identified between the two groups. Quantitative real time-polymerase chain reaction (qRT-PCR) analysis was used to verify the sequencing results. Functional enrichment analysis, pathway analysis, and protein-protein interaction (PPI) network analysis of DEmRNAs were conducted. Through bioinformatics analysis, a lncRNA-associated competing endogenous RNA (ceRNA) network was identified and constructed.
We detected 896 DEmRNAs, 1,471 DElncRNAs, and 20 DEmiRNAs between the two groups. qRT-PCR verified the sequencing results. Functional analysis showed that DEmRNAs were mainly enriched in immune system processes and the Notch signaling pathway. Protein tyrosine phosphatase receptor type C (PTPRC) and signal transducer and activator of transcription 1 (STAT1) were the central hub nodes in the PPI analysis. The ceRNA network contained 11 mRNAs, 15 lncRNAs, and 4 miRNAs.
We identified several DEmRNAs, DElncRNAs, and DEmiRNAs between the NPWT treatment group and the control group. These findings may provide new insights into the pathophysiological mechanism of NPWT and wound healing.
本研究旨在通过全转录组测序和生物信息分析，在转录组水平探索负压伤口治疗（NPWT）的分子机制。
构建大鼠皮肤缺损模型，并随机分为NPWT组和纱布组。取伤口中心组织进行全转录组测序，鉴定两组之间差异表达的信使核糖核酸（DEmRNAs）、长链非编码核糖核酸（DElncRNAs）和微小核糖核酸（DEmiRNAs）。采用定量实时聚合酶链反应（qRT-PCR）分析验证测序结果。对DEmRNAs进行功能富集分析、通路分析和蛋白质-蛋白质相互作用（PPI）网络分析。通过生物信息学分析，鉴定并构建lncRNA相关的竞争性内源RNA（ceRNA）网络。
两组之间共检测到896个DEmRNAs、1471个DElncRNAs和20个DEmiRNAs。qRT-PCR验证了测序结果。功能分析表明，DEmRNAs主要富集于免疫系统过程和Notch信号通路。蛋白酪氨酸磷酸酶受体C型（PTPRC）和信号转导子及转录激活子1（STAT1）是PPI分析中的中心枢纽节点。ceRNA网络包含11个mRNA、15个lncRNA和4个miRNA。
我们鉴定出NPWT治疗组和对照组之间的几种DEmRNAs、DElncRNAs和DEmiRNAs。这些发现可能为NPWT和伤口愈合的病理生理机制提供新的见解。
