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Xin H, Cao X, Zhang H, Liu J, Pan S, Li X, Guan L, Shen F, Liu Z, Wang D, Guan X, Yan J, Li H, Feng B, Zhang M, Yang Q, Jin Q, Gao L. Dynamic changes of interferon gamma release assay results with latent tuberculosis infection treatment. Clin Microbiol Infect 2020; 26:1555.e1-1555.e7. [PMID: 32062048 DOI: 10.1016/j.cmi.2020.02.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/02/2020] [Accepted: 02/08/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Using QuantiFERON-TB Gold In-Tube (QFT-GIT) for monitoring tuberculosis (TB) and latent TB infection treatment effect is controversial. The present study aimed to evaluate the dynamic changes of interferon gamma (IFN-γ) levels along with latent TB infection treatment via a randomized controlled study. METHODS A total of 910 participants treated with 8 weeks of once-weekly rifapentine plus isoniazid (group A), 890 treated with 6 weeks of twice-weekly rifapentine plus isoniazid (group B) and 818 untreated controls (group C) were followed for 2 years to track active TB development. QFT-GIT tests were repeated three times for all groups: before treatment (T0), at completion of treatment (T1) and 3 months after completion of treatment (T2). RESULTS Similar rates of persistent QFT-GIT reversion were observed in groups A (19.0%, 173/910), B (18.5%, 165/890) and C (20.7%, 169/818) (p 0.512). The dynamic changes of IFN-γ levels were not statistically significant among the three groups. In treated participants, individuals with higher baseline IFN-γ levels showed increased TB occurrence (1.0%, 9/896) compared to those with lower baseline levels (0.2%, 2/904) (p 0.037). A similar but statistically insignificant trend was also observed in untreated controls (1.8% (7/400) vs. 0.5% (2/418), p 0.100). When TB cases were matched with non-TB cases on baseline IFN-γ levels, no significant differences were found with respect to the dynamic changes in IFN-γ levels with time, regardless of whether they received treatment. CONCLUSIONS QFT-GIT reversion or decreased IFN-γ levels should not be used for monitoring host response to latent TB infection treatment.
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Affiliation(s)
- H Xin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - X Cao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - H Zhang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - J Liu
- The Sixth People's Hospital of Zhengzhou, PR China
| | - S Pan
- The Centers for Disease Prevention and Control of Zhongmu County, Zhengzhou, PR China
| | - X Li
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - L Guan
- The Sixth People's Hospital of Zhengzhou, PR China
| | - F Shen
- The Sixth People's Hospital of Zhengzhou, PR China
| | - Z Liu
- The Centers for Disease Prevention and Control of Zhongmu County, Zhengzhou, PR China
| | - D Wang
- The Centers for Disease Prevention and Control of Zhongmu County, Zhengzhou, PR China
| | - X Guan
- The Sixth People's Hospital of Zhengzhou, PR China
| | - J Yan
- The Centers for Disease Prevention and Control of Zhongmu County, Zhengzhou, PR China
| | - H Li
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - B Feng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - M Zhang
- Guangdong Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen University School of Medicine, Shenzhen, PR China
| | - Q Yang
- Guangdong Key Laboratory for Diagnosis &Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen University School of Medicine, Shenzhen, PR China
| | - Q Jin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - L Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
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