Bioinformatic analysis and experimental identification of blood biomarkers for chronic nonunion.

ABSTRACT:

Background

Incomplete fracture healing may lead to chronic nonunion; thus, determining fracture healing is the primary issue in the clinical treatment. However, there are no validated early diagnostic biomarkers for assessing chronic nonunion. In this study, bioinformatics analysis combined with an experimental verification strategy was used to identify blood biomarkers for chronic nonunion.

Methods

First, differentially expressed genes in chronic nonunion were identified by microarray data analysis. Second, Dipsaci Radix (DR), a traditional Chinese medicine for fracture treatment, was used to screen the drug target genes. Third, the drug-disease network was determined, and biomarker genes were obtained. Finally, the potential blood biomarkers were verified by ELISA and qPCR

SUBMITTER: Wu J 

PROVIDER: S-EPMC7275361 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature