Active and prospective latent tuberculosis are associated with different metabolomic profiles: clinical potential for the identification of rapid and non-invasive biomarkers-Reference-Cited by-同舟云学术

Active and prospective latent tuberculosis are associated with different metabolomic profiles: clinical potential for the identification of rapid and non-invasive biomarkers

Published:2020-01-01 Issue:1 Volume:9 Page:1131-1139
ISSN:2222-1751
Container-title:Emerging Microbes & Infections
language:en
Short-container-title:Emerging Microbes & Infections

Author:

Albors-Vaquer A.¹,Rizvi A.²,Matzapetakis M.³,Lamosa P.³,Coelho A. V.³,Patel A. B.⁴,Mande S. C.⁵⁶,Gaddam S.⁷⁸,Pineda-Lucena A.¹⁹,Banerjee S.²,Puchades-Carrasco L.¹^ORCID

Affiliation:

1. Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, Hospital Universitario y Politécnico La Fe, Valencia, Spain

2. Department of Biochemistry, School of Life Sciences, University of Hyderabad, Hyderabad, India

3. ITQB NOVA, Oeiras, Portugal

4. CSIR-CCMB, Hyderabad, India

5. National Centre For Cell Science, Pune, India

6. Council of Scientific and Industrial Research, New Delhi, India

7. Department of Immunology, Bhagwan Mahavir Medical Research Center, Hyderabad, India

8. Department of Genetics, Osmania University, Hyderabad, India

9. Molecular Therapeutics Program, Centro de Investigación Médica Aplicada, University of Navarra, Pamplona, Spain

Publisher

Informa UK Limited

Subject

Virology,Infectious Diseases,Drug Discovery,General Medicine,Immunology,Microbiology,Parasitology,Epidemiology

Link

https://www.tandfonline.com/doi/pdf/10.1080/22221751.2020.1760734

Reference50 articles.

1. The WHO 2014 Global tuberculosis report—further to go

2. Global Epidemiology of Tuberculosis

3. Cohort for Tuberculosis Research by the Indo-US Medical Partnership (CTRIUMPH): protocol for a multicentric prospective observational study

4. Age-specific prevalence of TB infection among household contacts of pulmonary TB: Is it time for TB preventive therapy?

5. The Global Burden of Latent Tuberculosis Infection: A Re-estimation Using Mathematical Modelling

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