Literature DB >> 34984435

Whole Genome Sequencing Assessing Impact of Diabetes Mellitus on Tuberculosis Mutations and Type of Recurrence in India.

Vidya Mave1,2,3, Liang Chen4, Uma Devi Ranganathan5, Dileep Kadam6, Vijay Vishwanathan7, Rahul Lokhande6, Siva Kumar S5, Anju Kagal6, Neeta N Pradhan1,3, Shri Vijay Bala Yogendra Shivakumar3, Mandar S Paradkar1,3, Sona Deshmukh1,3, Jeffrey A Tornheim2, Hardy Kornfeld8, Maha Farhat9, Amita Gupta2, Chandrasekaran Padmapriyadarsini5, Nikhil Gupte1,2,3, Jonathan E Golub2, Barun Mathema10, Barry N Kreiswirth4.   

Abstract

BACKGROUND: Evidence describing the impact of diabetes mellitus (DM) on the recurrence and mutation rate of Mycobacterium tuberculosis (Mtb) is limited.
METHODS: This study was nested in 3 cohort studies of tuberculosis (TB) patients with and without DM in India. Paired Mtb isolates recovered at baseline and treatment failure/recurrence underwent whole genome sequencing. We compared acquisition of single-nucleotide polymorphisms (SNPs), TB drug resistance mutations, and type of recurrence (endogenous reactivation [<8 SNPs] or exogenous reinfection [≥8 SNPs]) by DM status.
RESULTS: Of 1633 enrolled in the 3 parent cohorts, 236 (14.5%) had microbiologically confirmed TB treatment failure/recurrence; 76 Mtb isolate pairs were available for sequencing (22 in TB-DM and 54 in TB-only). The SNP acquisition rate was overall was 0.43 (95% confidence interval [CI], .25-.64) per 1 person-year (PY); 0.77 (95% CI, .40-1.35) per 1 PY, and 0.44 (95% CI, .19-.86) per 1 PY at treatment failure and recurrence, respectively. Significant difference in SNP rates by DM status was seen at recurrence (0.21 [95% CI, .04-.61]) per 1 PY for TB-only vs 1.28 (95% CI, .41-2.98) per 1 PY for TB-DM; P = .02). No significant difference in SNP rates by DM status was observed at treatment failure. Acquired TB drug resistance was seen in 4 of 18 (22%) in TB-DM vs 4 of 45 (9%) in TB-only (P = .21). Thirteen (17%) participants had exogenous reinfection; the reinfection rate at recurrence was 25% (3/12) for TB-DM vs 17% (4/24) in TB-only (P = .66).
CONCLUSIONS: Considerable intrahost Mtb mutation rates were present at recurrence among patients with DM in India. One-fourth of patients with DM had exogenous reinfection at recurrence.
© The Author(s) 2022. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  India; diabetes mellitus; drug resistance and recurrence; tuberculosis; whole genome sequencing

Mesh:

Substances:

Year:  2022        PMID: 34984435      PMCID: PMC9477453          DOI: 10.1093/cid/ciab1067

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   20.999


  41 in total

1.  Acquired rifampicin resistance in thrice-weekly antituberculosis therapy: impact of HIV and antiretroviral therapy.

Authors:  Gopalan Narendran; Pradeep Aravindan Menon; Perumal Venkatesan; Krishnamoorthy Vijay; Chandrasekaran Padmapriyadarsini; Santhanakrishnan Ramesh Kumar; Kannabiran Perumal Bhavani; Lakshmanan Sekar; Sivaramakrishnan Narayan Gomathi; Chockalingam Chandrasekhar; Satagopan Kumar; Rathinam Sridhar; Soumya Swaminathan
Journal:  Clin Infect Dis       Date:  2014-08-25       Impact factor: 9.079

Review 2.  Heterogeneity in tuberculosis.

Authors:  Anthony M Cadena; Sarah M Fortune; JoAnne L Flynn
Journal:  Nat Rev Immunol       Date:  2017-07-24       Impact factor: 53.106

3.  HIV-1 and recurrence, relapse, and reinfection of tuberculosis after cure: a cohort study in South African mineworkers.

Authors:  P Sonnenberg; J Murray; J R Glynn; S Shearer; B Kambashi; P Godfrey-Faussett
Journal:  Lancet       Date:  2001-11-17       Impact factor: 79.321

4.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

5.  Mycobacterium tuberculosis mutation rate estimates from different lineages predict substantial differences in the emergence of drug-resistant tuberculosis.

Authors:  Christopher B Ford; Rupal R Shah; Midori Kato Maeda; Sebastien Gagneux; Megan B Murray; Ted Cohen; James C Johnston; Jennifer Gardy; Marc Lipsitch; Sarah M Fortune
Journal:  Nat Genet       Date:  2013-06-09       Impact factor: 38.330

6.  Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment.

Authors:  Qingyun Liu; Laura E Via; Tao Luo; Lili Liang; Xin Liu; Sufang Wu; Qingyu Shen; Wang Wei; Xianglin Ruan; Xing Yuan; Guolong Zhang; Clifton E Barry; Qian Gao
Journal:  Sci Rep       Date:  2015-12-01       Impact factor: 4.379

7.  Evolutionary pathway analysis and unified classification of East Asian lineage of Mycobacterium tuberculosis.

Authors:  Egor Shitikov; Sergey Kolchenko; Igor Mokrousov; Julia Bespyatykh; Dmitry Ischenko; Elena Ilina; Vadim Govorun
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

8.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

9.  Mycobacterium tuberculosis clinical isolates carry mutational signatures of host immune environments.

Authors:  Qingyun Liu; Jianhao Wei; Yawei Li; Mei Wang; Jun Su; Yonghui Lu; Mariana G López; Xueqin Qian; Zhaoqin Zhu; Haiying Wang; Mingyun Gan; Qi Jiang; Yun-Xin Fu; Howard E Takiff; Iñaki Comas; Feng Li; Xuemei Lu; Sarah M Fortune; Qian Gao
Journal:  Sci Adv       Date:  2020-05-29       Impact factor: 14.957

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