Molecular Subtyping of &lt;i&gt;Salmonella enterica&lt;/i&gt; Serovar Typhi by Pulsed-Field Gel Electrophoresis and Multiple-Locus Variable-Number Tandem-Repeat Analysis in India: Their Association with Antimicrobial Resistance Profiles

Das, Surojit; Samajpati, Sriparna; Roy, Indranil; Sankar, Sathish; Gaind, Rajni; Deb, Monorama; Kulkarni, Raghavendra; Paul, Dilip K.

doi:10.7883/yoken.jjid.2016.478

Cited by 3 publications

(2 citation statements)

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“…6). In 2016, ceftriaxone-resistant S. Typhi strain was reported from AIIMS (received from RC from the western part of India) which was confirmed by next-generation sequencing (NGS) at CMC, Vellore16. Spread of such resistance would further limit available therapeutic options with only azithromycin as a treatment option.…”

Section: Highlights Of Antimicrobial Resistance Surveillance Datamentioning

confidence: 99%

Establishing Antimicrobial Resistance Surveillance & Research Network in India

Walia

Madhumathi

Veeraraghavan

et al. 2019

Indian Journal of Medical Research

104

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The Indian Council of Medical Research, in 2013, initiated the Antimicrobial Resistance Surveillance & Research Network (AMRSN) to enable compilation of data on six pathogenic groups on antimicrobial resistance from the country. The overarching aim of this network was to understand the extent and pattern of antimicrobial resistance (AMR) and use this evidence to guide strategies to control the spread of AMR. This article describes the conception and implementation of this AMR surveillance network for India. Also described are the challenges, limitations and benefits of this approach. Data from the Network have shown increasing resistance in Gram-negative bacteria in the hospitals that are part of this network. Combined resistance to third-generation cephalosporins and fluoroquinolones and increasing carbapenem resistance are worrisome, as it has an important bearing on the patients’ outcome and thus needs to be addressed urgently. Data generated through this Network have been used to develop treatment guidelines, which will be supportive in harmonizing treatment practices across the tertiary level healthcare institutions in the country. While, the major benefit of having a surveillance system is the collection of real-time accurate data on AMR including the mechanisms of resistance, representativeness to community, sustaining the current effort and expanding the current activities to next levels of healthcare settings are the major challenges. The data emanating from the network besides providing evidence, expose several gaps and lacunae in the ecosystem and highlight opportunities for action by multiple stakeholders.

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Section: Highlights Of Antimicrobial Resistance Surveillance Datamentioning

confidence: 99%

Establishing Antimicrobial Resistance Surveillance & Research Network in India

Walia

Madhumathi

Veeraraghavan

et al. 2019

Indian Journal of Medical Research

104

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“…For the third patient (S3) MLVA typing of the pair of S. Typhi isolates showed variations between the two isolates (ST3a and ST3b) by 3 VNTR loci. It was suggested by the earlier authors that the isolates with single/double locus variants have been isolated from same outbreak (14,36). Thus, the third case differed not only in their AMR profile and QRDR mutation but also in their MLVA profile by three VNTR loci between the 1 st and 2 nd episode of typhoid fever hence the third case may be designated as reinfection of typhoid fever.…”

Section: Discussionmentioning

confidence: 94%

Report of Relapse Typhoid Fever Cases from Kolkata, India: Recrudescence or Reinfection?

2018

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A global resource for genomic predictions of antimicrobial resistance and surveillance ofSalmonellaTyphi at Pathogenwatch

Argimón¹,

Yeats

Goater³

et al. 2020

Preprint

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AbstractBackgroundMicrobial whole-genome sequencing (WGS) is now increasingly used to inform public health investigations of infectious disease. This approach has transformed our understanding of the global population structure of Salmonella enterica serovar Typhi (S. Typhi), the causative agent of typhoid fever. WGS has been particularly informative for understanding the global spread of multi-drug resistant (MDR) typhoid. As WGS capacity becomes more decentralised, there is a growing opportunity for collaboration and sharing of surveillance data within and between countries to inform disease control policies. This requires freely available, community driven tools that reduce the barriers to access genomic data for public health surveillance and that deliver genomic data on a global scale.MethodsHere we present the Pathogenwatch (https://pathogen.watch/styphi) scheme for S. Typhi, a web application enabling the rapid identification of genomic markers of antimicrobial resistance (AMR) and contextualization with public genomic data to identify high-risk clones at a population level. Data are delivered in single genome reports or in collections of genomes combined with geographic and other data using trees, maps and tables.ResultsWe show that the clustering of S. Typhi genomes in Pathogenwatch is comparable to established bioinformatics methods, and that genomic predictions of AMR are largely concordant with phenotypic drug susceptibility data. We demonstrate the public health utility of Pathogenwatch with examples selected from over 4,300 public genomes available in the application.ConclusionsPathogenwatch democratises genomic epidemiology of S. Typhi by providing an intuitive entry point for the analysis of WGS and linked epidemiological data, enabling international public health monitoring of the emergence and spread of high risk clones.

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Molecular Subtyping of <i>Salmonella enterica</i> Serovar Typhi by Pulsed-Field Gel Electrophoresis and Multiple-Locus Variable-Number Tandem-Repeat Analysis in India: Their Association with Antimicrobial Resistance Profiles

Cited by 3 publications

References 37 publications

Establishing Antimicrobial Resistance Surveillance & Research Network in India

Establishing Antimicrobial Resistance Surveillance & Research Network in India

Report of Relapse Typhoid Fever Cases from Kolkata, India: Recrudescence or Reinfection?

A global resource for genomic predictions of antimicrobial resistance and surveillance ofSalmonellaTyphi at Pathogenwatch

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