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Updated: Jun 30, 2026

Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR
Published on: March 1, 2019
The role of long non-coding RNA HCP5 in ulcerative cutaneous tuberculosis therapy introduction
Jiayan Qian1, Jiayue Sun2, Ye Liu1
1Affiliated of Nanjing University of Chinese Medicine to Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Jiangsu, Nanjing, China.
Background:
Ulcerative Cutaneous Tuberculosis (UCT) represents a diagnostically complex variant of extrapulmonary tuberculosis, characterized by the absence of standardized biomarkers for monitoring treatment efficacy.
Objective:
This study sought to explore the potential of lncRNA HCP5 as a diagnostic and therapeutic biomarker for UCT.
Methods:
We conducted an integrated bioinformatics analysis on clinical samples from patients with UCT and Non-Tuberculous Cutaneous Ulcers to identify differentially expressed lncRNAs. Co-expression networks were developed to associate HCP5 with downstream mRNAs. Validation was performed using patient tissue samples and an in vitro model of BCG-infected macrophages, incorporating functional knockdown studies. Longitudinal profiling of UCT patients undergoing therapy was employed to evaluate the dynamics of the biomarker.
Results:
Our investigation identified 1,994 differentially expressed long non-coding RNAs (lncRNAs), with HCP5 being notably upregulated. Through co-expression analysis, HCP5 was linked to immune and inflammation pathways, and 12 correlated mRNAs were identified, among which ITGB2 was validated as a downstream target. The knockdown of HCP5 resulted in a significant reduction of ITGB2 expression in macrophages. Longitudinal analysis demonstrated a significant decline in both HCP5 and ITGB2 levels in patient tissues and plasma following two weeks of anti-tuberculosis treatment.
Discussion:
This study elucidates a novel HCP5/ITGB2 regulatory axis in the pathogenesis of UCT and highlights their dynamic responsiveness to therapeutic intervention. These findings address a critical clinical gap by providing objective biomarkers for the diagnosis and monitoring of treatment efficacy in cutaneous tuberculosis.
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