Infection and Drug Resistance (Mar 2024)

Association Studies of Serum Levels of TNF- α, IL-10, IFN-γ and CXCL 5 with Latent Tuberculosis Infection in Close Contacts

  • Razbek J,
  • Daken M,
  • Chen Y,
  • Ma L,
  • Zhang Y,
  • Xu W,
  • Wen B,
  • Wang J,
  • Wang X,
  • Cao M

Journal volume & issue
Vol. Volume 17
pp. 899 – 910

Abstract

Read online

Jaina Razbek,1 Mayisha Daken,2 Yanggui Chen,3 Li Ma,3 Yan Zhang,1 Wanting Xu,1 Baofeng Wen,1 Junan Wang,1 Xiaomin Wang,1 Mingqin Cao1 1Department of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, 830011, People’s Republic of China; 2Department of Epidemic Prevention, Karamay Centre for Disease Control and Prevention, Karamay, 834000, People’s Republic of China; 3Department of Prevention and Control of Tuberculosis, Urumqi Centre for Disease Control and Prevention, Urumqi, 830011, People’s Republic of ChinaCorrespondence: Mingqin Cao, Tel +86-13319912419, Email [email protected]: Early recognition and treatment of latent tuberculosis infection(LTBI) is key to tuberculosis(TB) prevention. However, the emergence of LTBI is influenced by a combination of factors, of which the role of individual immune cytokines remains controversial. The aim of this study is to explore the influencing factors of LTBI and their effects with cytokines on LTBI.Patients and Methods: Close contacts of tuberculosis in Urumqi City from 2021 to 2022 were selected for the study to conduct a field survey. It used logistic regression model to analyse the influencing factors of LTBI, principal component analysis to extract a composite indicators of cytokines, and structural equation modelling to explore the direct and indirect effects of cytokines and influencing factors on LTBI.Results: LTBI infection rate of 33.3% among 288 TB close contacts. A multifactorial Logistic model showed that factors influencing LTBI included education, daily contact hours, eating animal liver, and drinking coffee (P< 0.05); After controlling for confounding factors and extracting composite indicators of cytokines using principal component analysis, CXCL5 and IFN-γ is a protective factor for LTBI(OR=0.572, P=0.047), IL-10 and TNF-α is a risk factor for LTBI(OR=2.119, P=0.010); Structural equation modelling shows drinking coffee, eating animal liver, daily contact hours, and IL-10 and TNF-α had direct effects on LTBI and educations had indirect effects on LTBI(P< 0.05).Conclusion: IL-10 and TNF-α are involved in the immune response and are directly related to LTBI. By monitoring the cytokine levels of TB close contacts and paying attention to their dietary habits and exposure, we can detect and intervene in LTBI at an early stage and control their progression to TB.Keywords: close contacts, latent tuberculosis infection, cytokines, structural equation modelling, association studies

Keywords