Pyridoxal phosphate, pyridoxamine phosphate, and folic acid based on ceRNA regulatory network as potential biomarkers for the diagnosis of pulmonary tuberculosis

吡哆醛 小RNA 生物 竞争性内源性RNA 结核分枝杆菌 吡哆胺 疾病 诊断生物标志物 生物标志物 计算生物学 生物化学 肺结核 核糖核酸 医学 内科学 基因 长非编码RNA 病理
作者
Zhibin Li,Liying Shi,Yu‐Shuai Han,Jing Chen,Shan‐Qiang Zhang,Jiaxi Chen,Jun Liu,Hui‐Hui Tu,Qiqi Lu,Yi Yu,Tingting Jiang,Ji‐Cheng Li
出处
期刊:Infection, Genetics and Evolution [Elsevier BV]
卷期号:99: 105240-105240 被引量:8
标识
DOI:10.1016/j.meegid.2022.105240
摘要

Pulmonary tuberculosis (TB) is a serious disease burden worldwide, and its effective early diagnosis is still facing challenges. Knowledge, acquired from multi-omics integration analysis about the association between different types of differentially expressed molecules in the plasma of TB patients and the disease traits, is anticipated to improve the accuracy of TB diagnosis through the "integrative pattern".In this study, the lncRNA-miRNA-mRNA interaction network was constructed based on the competing endogenous RNA (ceRNA) hypothesis by integrating our previous data sets of lncRNA, mRNA, miRNA, and metabolites. Moreover, the key regulatory axis was established by co-expression analysis and verified at the level of metabolites.A ceRNA regulatory network consisting of 23 lncRNAs, 10 miRNAs, and 113 mRNAs was constructed. The analysis results suggested that lncRNA (OSBPL10-AS1), miRNA (has-miR-485-5p), and mRNA (SLC23A2) might be involved in the regulation of vitamin metabolism in patients with TB. Metabolite analysis showed that compared with the normal control group, TB patients had abnormal vitamin metabolism, and the expression levels of pyridoxal phosphate, pyridoxamine phosphate, and folic acid were significantly different between the two groups (p < 0.05).Integrated multi-omics analysis showed that vitamin metabolism disorder may be one of the pathological characteristic of TB. OSBPL10-AS1, hsa-miR-485-5p, SLC23A2, pyridoxal phosphate, pyridoxamine phosphate, and folic acid may collectively constitute the "integrative pattern" of multiple biomarkers, which may provide an accurate diagnosis of TB.

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