Back to Search Start Over

Toll-like receptor and matrix metalloproteinase single-nucleotide polymorphisms, haplotypes, and polygenic risk score differentiated between tuberculosis disease and infection

Authors :
Meng-Rui Lee
Yen-Lin Chen
Chang-Wei Wu
Lun-Che Chen
Lih-Yu Chang
Jung-Yueh Chen
Yu-Tsung Huang
Jann-Yuan Wang
Jin-Yuan Shih
Chong-Jen Yu
Source :
International Journal of Infectious Diseases, Vol 125, Iss , Pp 61-66 (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Objectives: The association of toll-like receptors (TLRs) and matrix metalloproteinases (MMPs) single-nucleotide polymorphisms (SNPs) among latent tuberculosis (TB) infection and active TB remained less studied. Methods: We recruited participants with TB disease (active TB) (n = 400) and TB infection (latent TB infection) (n = 203) in this study. We genotyped SNPs in TLR1, TLR2, TLR4, MMP1, MMP8, MMP9, MMP12, and tissue inhibitor of MMP2. Single-variant analysis and haplotype analysis were performed, and a polygenic risk score (PRS) was created. Results: We found that SNPs in TLR1 (rs5743580, rs5743551), TLR2 (rs3804100), and MMP8 (rs2508383) were associated with different TB disease status risks. TLR1 rs5743580 was associated with a higher risk of TB disease status in genotypic, recessive, and additive models. TLR2 rs3804100 polymorphisms demonstrated significant association with TB disease status in genotypic, dominant, and additive models. In the haplotype analysis, the TLR1 haplotype was associated with a higher risk of TB disease, and the MMP12 haplotype was associated with a lower risk of TB disease. A PRS using 3 SNPs was associated with a higher risk of TB disease. Conclusion: This study revealed that SNP variants in TLR1, TLR2, and MMP8 differed among TB infection and disease. Haplotypes and PRS could potentially help predict TB disease status.

Details

Language :
English
ISSN :
12019712
Volume :
125
Issue :
61-66
Database :
Directory of Open Access Journals
Journal :
International Journal of Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.42b3169ed1f34944814022a1b7780f24
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ijid.2022.10.020