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. 2022 Mar 25:13:820168.
doi: 10.3389/fneur.2022.820168. eCollection 2022.

Deciphering Genetic Susceptibility to Tuberculous Meningitis

Affiliations

Deciphering Genetic Susceptibility to Tuberculous Meningitis

Haiko Schurz et al. Front Neurol. .

Abstract

Tuberculous meningitis (TBM) is the most severe form of extrapulmonary tuberculosis (TB) that arises when a caseating meningeal granuloma discharges its contents into the subarachnoid space. It accounts for ~1% of all disease caused by Mycobacterium tuberculosis and the age of peak incidence is from 2-4 years. The exact pathogenesis of TBM is still not fully understood and the mechanism(s) by which the bacilli initially invade the blood-brain-barrier are still to be elucidated. This study investigated the involvement of the host genome in TBM susceptibility, by considering common variants (minor allele frequency (MAF) >5%) using microarray genotyping and rare variants (MAF <1%) via exome sequencing. A total of 123 TBM cases, 400 pulmonary TB (pTB) cases and 477 healthy controls were genotyped on the MEGA array. A genome-wide association study (GWAS) comparing 114 TBM cases to 395 healthy controls showed no association with TBM susceptibility. A second analysis comparing 114 TBM cases to 382 pTB cases was conducted to investigate variants associated with different TB phenotypes. No significant associations were found with progression from pTB to TBM. Ten TBM cases and 10 healthy controls were exome sequenced. Gene set association tests SKAT-O and SKAT Common Rare were used to assess the association of rare SNPs and the cumulative effect of both common and rare SNPs with susceptibility to TBM, respectively. Ingenuity Pathway Analysis (IPA) of the top-hits of the SKAT-O analysis showed that NOD2 and CYP4F2 are both important in TBM pathogenesis and highlighted these as targets for future study. For the SKAT Common Rare analysis Centriolar Coiled-Coil Protein 110 (CCP110) was nominally associated (p = 5.89x10-6) with TBM susceptibility. In addition, several top-hit genes ascribed to the development of the central nervous system (CNS) and innate immune system regulation were identified. Exome sequencing and GWAS of our TBM cohort has identified a single previously undescribed association of CCP110 with TBM susceptibility. These results advance our understanding of TBM in terms of both variants and genes that influence susceptibility. In addition, several candidate genes involved in innate immunity have been identified for further genotypic and functional investigation.

Keywords: exome sequencing; genome-wide association study; microarray; pulmonary tuberculosis; tuberculous meningitis.

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Conflict of interest statement

NB is currently an employee and shareholder of GlaxoSmithKline (Stevenage, UK). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Overview of the SNP prioritization procedures followed and association analyses used in the exome sequencing arm of the study. SKAT, Sequence Kernel Association Test.
Figure 2
Figure 2
Gene-based association testing results obtained from the FUMA analysis of the TBM vs. healthy control GWAS summary statistics.

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References

    1. van Leeuwen LM, van der Kuip M, Youssef SA, de Bruin A, Bitter W, van Furth AM, et al. . Modeling tuberculous meningitis in zebrafish using Mycobacterium marinum. Dis Model Mech. (2014) 7:1111–22. 10.1242/dmm.015453 - DOI - PMC - PubMed
    1. Thwaites GE, van Toorn R, Schoeman J. Tuberculous meningitis: more questions, still too few answers. Lancet Neurol. (2013) 12:999–1010. 10.1016/S1474-4422(13)70168-6 - DOI - PubMed
    1. Visser DH, Solomons RS, Ronacher K, van Well GT, Heymans MW, Walzl G, et al. . Host immune response to tuberculous meningitis. Clin Infect Dis Off Publ Infect Dis Soc Am. (2015) 60:177–87. 10.1093/cid/ciu781 - DOI - PubMed
    1. Manyelo CM, Solomons RS, Walzl G, Chegou NN. Tuberculous meningitis: pathogenesis, immune responses, diagnostic challenges, and the potential of biomarker-based approaches. J Clin Microbiol. (2021) 59:e01771–20. 10.1128/JCM.01771-20 - DOI - PMC - PubMed
    1. Berman S, Kibel MA, Fourie PB, Strebel PM. Childhood tuberculosis and tuberculous meningitis: high incidence rates in the Western Cape of South Africa. TuberLung Dis. (1992) 73:349–55. 10.1016/0962-8479(92)90039-M - DOI - PubMed

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