Literature DB >> 35759173

Plasma cytokine levels characterize disease pathogenesis and treatment response in tuberculosis patients.

Monika M Vivekanandan1, Ernest Adankwah1, Wilfred Aniagyei1, Isaac Acheampong1, Augustine Yeboah1, Joseph F Arthur1, Millicent N K Lamptey1, Mohammed K Abass2, Amidu Gawusu3, Francis Kumbel4, Francis Osei-Yeboah5, Linda Batsa Debrah1, Dorcas O Owusu1, Alexander Debrah1, Ertan Mayatepek6, Julia Seyfarth6, Richard O Phillips1,7, Marc Jacobsen8.   

Abstract

BACKGROUND: Mycobacterium (M.) tuberculosis-caused immunopathology is characterized by aberrant expression of plasma cytokines in human tuberculosis. Disease severity and long-term anti-mycobacterial treatment are potentially influenced by immunopathology and normalization of plasma cytokine levels during therapy may indicate treatment efficacy and recovery. STUDY DESIGN AND METHODS: In this study, we analyzed the concentrations of selected plasma cytokines (i.e., IL-6, IP-10, IL-10, IL-22, IFNγ, GM-CSF, IL-8) and M. tuberculosis sputum burden in patients with tuberculosis (n = 76). Cytokine levels were compared to healthy contacts (n = 40) and changes under treatment were monitored (i.e., 6 and 16 weeks after treatment start). According to differences in M. tuberculosis sputum burden and conversion, tuberculosis patients were classified as paucibacillary as well as 'rapid' or 'slow' treatment responders. A subgroup of tuberculosis patients had fatal disease courses.
RESULTS: Six of seven cytokines were significantly higher in tuberculosis patients as compared to contacts and four of these (i.e., IL-6, IP-10, IL-10, and IL-22) were detectable in the majority of tuberculosis patients. IL-6 showed the strongest discriminating capacity for tuberculosis disease and in combination with IL-10 concentrations efficiently classified paucibacillary tuberculosis cases as well as those with fatal disease outcome. In addition, IL-6 and IP-10 levels decreased significantly after 6 weeks of treatment and analyses of subgroups with differential treatment response showed delayed decline of IL-6 levels in slow treatment responders.
CONCLUSIONS: Combinations of different plasma cytokine (namely, IL-6, IL-10, and IP-10) efficiently classified tuberculosis patients with differential mycobacterial burden and especially IL-6 qualified as a biomarker candidate for early treatment response.
© 2022. The Author(s).

Entities:  

Keywords:  Plasma cytokines; Treatment response; Tuberculosis

Year:  2022        PMID: 35759173     DOI: 10.1007/s15010-022-01870-3

Source DB:  PubMed          Journal:  Infection        ISSN: 0300-8126            Impact factor:   3.553


  28 in total

Review 1.  Understanding latent tuberculosis: a moving target.

Authors:  Philana Ling Lin; Joanne L Flynn
Journal:  J Immunol       Date:  2010-07-01       Impact factor: 5.422

2.  Identification of promising plasma immune biomarkers to differentiate active pulmonary tuberculosis.

Authors:  Fabiana A Zambuzi; Priscilla M Cardoso-Silva; Milena S Espindola; Luana S Soares; Leonardo J Galvão-Lima; Verônica S Brauer; Matheus S Gomes; Laurence R Amaral; Matthew Schaller; Valdes R Bollela; Fabiani G Frantz
Journal:  Cytokine       Date:  2016-08-31       Impact factor: 3.861

3.  CD27 expression of T-cells discriminates IGRA-negative TB patients from healthy contacts in Ghana.

Authors:  Ernest Adankwah; Alptekin Güler; Ertan Mayatepek; Richard Odame Phillips; Norman Nausch; Marc Jacobsen
Journal:  Microbes Infect       Date:  2019-08-12       Impact factor: 2.700

4.  Alteration of serum inflammatory cytokines in active pulmonary tuberculosis following anti-tuberculosis drug therapy.

Authors:  Imran Hussain Chowdhury; Albin Mostaque Ahmed; Subhadip Choudhuri; Aditi Sen; Avijit Hazra; Nishith Kumar Pal; Basudev Bhattacharya; Bojlul Bahar
Journal:  Mol Immunol       Date:  2014-07-12       Impact factor: 4.407

5.  Plasma cytokines and chemokines differentiate between active disease and non-active tuberculosis infection.

Authors:  Adane Mihret; Yonas Bekele; Kidest Bobosha; Martin Kidd; Abraham Aseffa; Rawleigh Howe; Gerhard Walzl
Journal:  J Infect       Date:  2012-11-20       Impact factor: 6.072

6.  Constitutive STAT3 phosphorylation and IL-6/IL-10 co-expression are associated with impaired T-cell function in tuberculosis patients.

Authors:  Kirstin Harling; Ernest Adankwah; Alptekin Güler; Anthony Afum-Adjei Awuah; Louis Adu-Amoah; Ertan Mayatepek; Ellis Owusu-Dabo; Norman Nausch; Marc Jacobsen
Journal:  Cell Mol Immunol       Date:  2018-03-19       Impact factor: 11.530

7.  Lower IL-7 Receptor Expression of Monocytes Impairs Antimycobacterial Effector Functions in Patients with Tuberculosis.

Authors:  Ernest Adankwah; Jean De Dieu Harelimana; Difery Minadzi; Wilfred Aniagyei; Mohammed K Abass; Linda Batsa Debrah; Dorcas O Owusu; Ertan Mayatepek; Richard O Phillips; Marc Jacobsen
Journal:  J Immunol       Date:  2021-04-28       Impact factor: 5.422

8.  Aberrant plasma IL-7 and soluble IL-7 receptor levels indicate impaired T-cell response to IL-7 in human tuberculosis.

Authors:  Christian Lundtoft; Anthony Afum-Adjei Awuah; Jens Rimpler; Kirstin Harling; Norman Nausch; Malte Kohns; Ernest Adankwah; Franziska Lang; Laura Olbrich; Ertan Mayatepek; Ellis Owusu-Dabo; Marc Jacobsen
Journal:  PLoS Pathog       Date:  2017-06-05       Impact factor: 6.823

9.  Two-Hit in vitro T-Cell Stimulation Detects Mycobacterium tuberculosis Infection in QuantiFERON Negative Tuberculosis Patients and Healthy Contacts From Ghana.

Authors:  Ernest Adankwah; Christian Lundtoft; Alptekin Güler; Kees L M C Franken; Tom H M Ottenhoff; Ertan Mayatepek; Ellis Owusu-Dabo; Richard Odame Phillips; Norman Nausch; Marc Jacobsen
Journal:  Front Immunol       Date:  2019-07-03       Impact factor: 7.561

10.  Aberrant cytokine milieu and signaling affect immune cell phenotypes and functions in tuberculosis pathology: What can we learn from this phenomenon for application to inflammatory syndromes?

Authors:  Ernest Adankwah; Julia Seyfarth; Richard Phillips; Marc Jacobsen
Journal:  Cell Mol Immunol       Date:  2021-05-25       Impact factor: 11.530

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.