Serum exosome tRFs as a promising biomarker for active tuberculosis and latent tuberculosis infection
Xi X, Wang B, Zhang R, Ling C
Journal of microbiological methods · 2024-05
Abstract
Objective To analyse the expression profiles of serum exosome tRFs/tiRNAs and to explore their diagnostic value in tuberculosis (TB) activity. Methods The serum exosome tRF/tiRNA profile was analysed using high-throughput sequencing technology in 5 active tuberculosis (ATB) patients, 5 latent tuberculosis infection (LTBI) patients and 5 healthy controls (HCs). Then, serum exosome tRFs/tiRNAs were validated by quantitative real-time polymerase chain reaction (qRT-PCR), and their diagnostic value was evaluated by receiver operating characteristic curve (ROC) and area under the curve (AUC). Finally, bioinformatics analysis was performed to explore and identify the potential biological pathways induced by tRFs/tiRNAs. Results The sequencing results revealed that serum exosome tRF/tiRNA expression profiles were different among ATB patients, LTBI patients and HCs. Three tRFs (tRF-56:75-Trp-CCA-4, tRF-1:22-chrM.Ser-GCT and tRF-56:76-Val-TAC-1-M2) were selected for qRT-PCR validation. The results demonstrated that the expression level of tRF-1-22-chrM.Ser-GCT was upregulated in ATB patients, while tRF-56-75-Trp-CCA-4 was downregulated, which was consistent with the sequencing data. The AUCs of tRF-56:75-Trp-CCA-4 and tRF-1:22-chrM. Ser-GCT were 0.824 and 1.000, respectively, which have significant values in the diagnosis of ATB patients. Moreover, the expression levels of tRF-56:75-Trp-CCA-4 and tRF-1:22-chrM.Ser-GCT and tRF-56:76-Val-TAC-1-M2 in ATB patients and LTBI were different, which indicated that these three tRFs could effectively distinguish ATB patients and LTBI patients. Conclusion Our findings indicate that serum exosome tRFs can be used as potential markers for the diagnosis of ATB and LTBI.
MeSH terms
- Humans
- Mycobacterium tuberculosis
- Tuberculosis
- Case-Control Studies
- ROC Curve
- Computational Biology
- Adult
- Middle Aged
- Female
- Male
- Exosomes
- Latent Tuberculosis
- High-Throughput Nucleotide Sequencing
- Real-Time Polymerase Chain Reaction
- Biomarkers