Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024Acetic Acid Enables Molecular Enumeration of <i>Mycobacterium tuberculosis</i> from Sputum and Eliminates the Need for a Biosafety Level 3 Laboratory2citations
  • 2023A comparison of phenotypic and WGS drug susceptibility testing in Mycobacterium tuberculosis isolates from the Republic of Korea2citations
  • 2023A pandemic within a pandemic? Admission to COVID-19 wards in hospitals is associated with increased prevalence of antimicrobial resistance in two African settingscitations
  • 2021Epidemiological profile of multidrug-resistant and extensively drug-resistant Mycobacterium Tubrculosis among Congolese patients&amp;nbsp;1citations
  • 2021Epidemiological profile of multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis among Congolese patients7citations

Places of action

Chart of shared publication
Morkowska, Anna
1 / 1 shared
Palekyte, Ana
1 / 1 shared
Honeyborne, Isobella
2 / 2 shared
Morris-Jones, Stephen
1 / 1 shared
Billington, Owen
1 / 1 shared
Marakalala, Mohlopheni J.
1 / 1 shared
Millard, James
1 / 1 shared
Sambou, Basil
1 / 1 shared
Owolabi, Olumuyiwa
1 / 1 shared
Sutherland, Jayne S.
1 / 1 shared
Zumla, Alimuddin
2 / 2 shared
Ryu, Sungweon
1 / 1 shared
Witney, Adam A.
1 / 1 shared
Lee, Seung Heon
1 / 1 shared
Satta, Giovanni
1 / 2 shared
Ferran, Elena
1 / 1 shared
Storey, Nathaniel
1 / 1 shared
Kang, Hyungseok
1 / 1 shared
Mulonga, Kangwa
1 / 1 shared
Adam, Abdelsalam
1 / 1 shared
Matibula, Peter
1 / 1 shared
Sikakena, Kapatiso
1 / 1 shared
Thomason, Margaret J.
1 / 1 shared
Mohammed, Alaelddin
1 / 1 shared
Elton, Linzy
3 / 3 shared
Elhag, Kamal
1 / 1 shared
Hamid, Muzamil Mahdi Abdel
1 / 1 shared
Elbadawi, Hana
1 / 1 shared
Tembo, John
1 / 1 shared
Nakazwe, Ruth
1 / 1 shared
Kabaso, Mwewa
1 / 1 shared
Fwoloshi, Sombo
1 / 1 shared
Roulston, Kerry
1 / 1 shared
Abdelraheem, Mohammed H.
1 / 1 shared
Maluzi, Kwitaka
1 / 1 shared
Kabanda, Caren
1 / 1 shared
Cullip, Teresa
1 / 1 shared
Edoa, Jean Ronald
1 / 2 shared
Ahombo, Gabriel
2 / 2 shared
Canseco, Julio Ortiz
2 / 2 shared
Abdul, Pacôme Achimi
1 / 1 shared
Linguissi, Laure Stella Ghoma
1 / 1 shared
Assiana, Darrel Elion
1 / 1 shared
Mabiala, Albert
2 / 2 shared
Biyogho, Christopher
1 / 1 shared
Ntoumi, Francine
2 / 2 shared
Epola, Micheska
2 / 2 shared
Vouvoungu, Jeannhey
1 / 1 shared
Adegnika, Akim
1 / 1 shared
Adegbite, Bayodé
1 / 1 shared
Adegnika, Ayola Akim
1 / 3 shared
Biyogho, Christopher Mebiame
1 / 2 shared
Ronaldedoa, Jean
1 / 1 shared
Adegbite, Bayodé Roméo
1 / 1 shared
Assiana, Darrel Ornelle Elion
1 / 1 shared
Abdul, Jabar Babatunde Pacômeachimi
1 / 1 shared
Linguissi, Laure Stellaghoma
1 / 1 shared
Vouvoungui, Jeannhey Christevy
1 / 1 shared
Chart of publication period
2024
2023
2021

Co-Authors (by relevance)

  • Morkowska, Anna
  • Palekyte, Ana
  • Honeyborne, Isobella
  • Morris-Jones, Stephen
  • Billington, Owen
  • Marakalala, Mohlopheni J.
  • Millard, James
  • Sambou, Basil
  • Owolabi, Olumuyiwa
  • Sutherland, Jayne S.
  • Zumla, Alimuddin
  • Ryu, Sungweon
  • Witney, Adam A.
  • Lee, Seung Heon
  • Satta, Giovanni
  • Ferran, Elena
  • Storey, Nathaniel
  • Kang, Hyungseok
  • Mulonga, Kangwa
  • Adam, Abdelsalam
  • Matibula, Peter
  • Sikakena, Kapatiso
  • Thomason, Margaret J.
  • Mohammed, Alaelddin
  • Elton, Linzy
  • Elhag, Kamal
  • Hamid, Muzamil Mahdi Abdel
  • Elbadawi, Hana
  • Tembo, John
  • Nakazwe, Ruth
  • Kabaso, Mwewa
  • Fwoloshi, Sombo
  • Roulston, Kerry
  • Abdelraheem, Mohammed H.
  • Maluzi, Kwitaka
  • Kabanda, Caren
  • Cullip, Teresa
  • Edoa, Jean Ronald
  • Ahombo, Gabriel
  • Canseco, Julio Ortiz
  • Abdul, Pacôme Achimi
  • Linguissi, Laure Stella Ghoma
  • Assiana, Darrel Elion
  • Mabiala, Albert
  • Biyogho, Christopher
  • Ntoumi, Francine
  • Epola, Micheska
  • Vouvoungu, Jeannhey
  • Adegnika, Akim
  • Adegbite, Bayodé
  • Adegnika, Ayola Akim
  • Biyogho, Christopher Mebiame
  • Ronaldedoa, Jean
  • Adegbite, Bayodé Roméo
  • Assiana, Darrel Ornelle Elion
  • Abdul, Jabar Babatunde Pacômeachimi
  • Linguissi, Laure Stellaghoma
  • Vouvoungui, Jeannhey Christevy
OrganizationsLocationPeople

article

A comparison of phenotypic and WGS drug susceptibility testing in Mycobacterium tuberculosis isolates from the Republic of Korea

  • Ryu, Sungweon
  • Witney, Adam A.
  • Lee, Seung Heon
  • Mchugh, Timothy D.
  • Satta, Giovanni
  • Ferran, Elena
  • Storey, Nathaniel
  • Kang, Hyungseok
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>WGS has significant potential to help tackle the major public health problem of TB. The Republic of Korea has the third highest rates of TB of all Organisation for Economic Cooperation and Development countries but there has been very limited use of WGS in TB to date.</jats:p></jats:sec><jats:sec><jats:title>Objectives</jats:title><jats:p>A retrospective comparison of Mycobacterium tuberculosis (MTB) clinical isolates from 2015 to 2017 from two centres in the Republic of Korea using WGS to compare phenotypic drug susceptibility testing (pDST) and WGS drug susceptibility predictions (WGS-DSP).</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Fifty-seven MTB isolates had DNA extracted and were sequenced using the Illumina HiSeq platform. The WGS analysis was performed using bwa mem, bcftools and IQ-Tree; resistance markers were identified using TB profiler. Phenotypic susceptibilities were carried out at the Supranational TB reference laboratory (Korean Institute of Tuberculosis).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>For first-line antituberculous drugs concordance for rifampicin, isoniazid, pyrazinamide and ethambutol was 98.25%, 92.98%, 87.72% and 85.96%, respectively. The sensitivity of WGS-DSP compared with pDST for rifampicin, isoniazid, pyrazinamide and ethambutol was 97.30%, 92.11%, 78.95% and 95.65%, respectively. The specificity for these first-line antituberculous drugs was 100%, 94.74%, 92.11% and 79.41%, respectively. The sensitivity and specificity for second-line drugs ranged from 66.67% to 100%, and from 82.98% to 100%, respectively.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>This study confirms the potential role for WGS in drug susceptibility prediction, which would reduce turnaround times. However, further larger studies are needed to ensure current databases of drug resistance mutations are reflective of the TB present in the Republic of Korea.</jats:p></jats:sec>

Topics
  • size-exclusion chromatography
  • susceptibility