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Plasma CXCL8 and MCP-1 as biomarkers of latent tuberculosis infection
State Public Health Laboratory, Directorate of Public Health and Preventive Medicine, DMS Campus, Teynampet, Chennai, Tamil Nadu, India.
Infection and Inflammation, Department of Biotechnology, Central University of Tamil Nadu, Thiruvarur, India.
Laboratory Centre, Xiamen University Malaysia, Sepang, Selangor, Malaysia.
National Tuberculosis Elimination Programme, Chennai, Tamil Nadu, India.
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2023 (English)Manuscript (preprint) (Other academic)
Abstract [en]

Background

Early detection of latent tuberculosis infection (LTBI) is critical to TB elimination in the current WHO vision of End Tuberculosis Strategy.

Methods

We investigated whether detecting plasma cytokines could aid in diagnosing LTBI across household contacts (HHCs) positive for IGRA, HHCs negative for IGRA, and healthy controls. We also measured the plasma cytokines using a commercial Bio-Plex Pro Human Cytokine 17-plex assay.

Results

Increased plasma CXCL8 and decreased MCP-1, TNF-α, and IFN-γ were associated with LTBI. Regression analysis showed that a combination of CXCL8 and MCP-1 increased the risk of LTBI among HHCs to 14-fold.

Conclusions

We postulated that CXCL8 and MCP-1 could be the surrogate biomarkers of LTBI, especially in resource-limited settings.

Place, publisher, year, edition, pages
2023.
National Category
Immunology in the medical area
Identifiers
URN: urn:nbn:se:liu:diva-206225DOI: 10.1101/2023.08.07.23293767OAI: oai:DiVA.org:liu-206225DiVA, id: diva2:1888433
Note

EMS is funded by the Department of Science and Technology-Science and Engineering Research Board, Government of India (CRG/2019/006096). This work is also supported by grants through AI52731, the Swedish Research Council, the Swedish, Physicians against AIDS Research Foundation, the Swedish International Development Cooperation Agency, SIDA SARC, VINNMER for Vinnova, Linköping University Hospital Research Fund, CALF, and the Swedish Society of Medicine (to ML). H.Y.T. is supported by Xiamen University Research Funding (XMUMRF/2020-C5/ITCM/0003 and VV is supported by: The NIH Office of Research Infrastructure Programs (P51 OD011132 to ENPRC), and Emory CFAR (P30 AI050409).

Available from: 2024-08-13 Created: 2024-08-13 Last updated: 2024-08-28

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Larsson, Marie

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Kannan, MeganathanSivasankaran, Munusamy PonnanLarsson, MarieShankar, Esaki M
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