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Yong Y, Zhou L, Zhang X, Ran X, Guo Y, Gai W, Chen Y. The clinical value of metagenomic next-generation sequencing in the diagnosis of pulmonary tuberculosis and the exploration of lung microbiota characteristics. Sci Rep 2025; 15:12568. [PMID: 40221512 PMCID: PMC11993618 DOI: 10.1038/s41598-025-91520-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Accepted: 02/20/2025] [Indexed: 04/14/2025] Open
Abstract
The lung microbiota plays a critical role in many important physiological processes and is linked with various pulmonary infectious diseases. The present study aimed to characterize the lung microbiota in patients with pulmonary tuberculosis (PTB), and to explore the association between the abundance of Mycobacterium tuberculosis complex (MTBC) and the lung microbiota. This retrospective study included 190 patients with MTBC infection. The enrolled patients were classified into three groups based on the abundance results of bronchoalveolar lavage fluid (BALF) mNGS: low [reads per ten million (RPTM) = 1 ~ 1000], medium (RPTM = 1001 ~ 10000) and high (RPTM > 10000). In the high-abundance group, there were more bilateral lobar involvement and symptoms of cavitation. In addition to mNGS, the highest positivity rates were T-spot (92.36%), GeneXpert (71.58%), culture (68.95%) and AFB smear (17.84%). The positive rates of culture, AFB smear and GeneXpert increased with the increase of MTBC abundance, and the positive rates were highest in the high-abundance MTBC group. Both the alpha and beta diversity showed significant difference between the three groups, with the high-abundance MTBC groups showed lowest alpha diversity. The increased abundance of MTBC positively associated with the longer time of hospital stay. To sum up, the lung microbiota of patients with PTB were significantly distinct between groups with different abundant levels of MTBC. Combined with imaging features, a high abundance of MTBC suggests the patient is more severely ill and has a poorer prognosis.
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Affiliation(s)
- Yan Yong
- Zhejiang Tuberculosis Diagnosis and Treatment Center, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Hangzhou, China
| | - Lihong Zhou
- Zhejiang Tuberculosis Diagnosis and Treatment Center, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Hangzhou, China
| | - Xiaojing Zhang
- WillingMed Technology (Beijing) Co., Ltd, No. 156 Jinghai 4th Road, Beijing Economic and Technological Development Zone, Beijing, China
| | - Xiaoqin Ran
- Zhejiang Tuberculosis Diagnosis and Treatment Center, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Hangzhou, China
| | - Yuxin Guo
- WillingMed Technology (Beijing) Co., Ltd, No. 156 Jinghai 4th Road, Beijing Economic and Technological Development Zone, Beijing, China
| | - Wei Gai
- WillingMed Technology (Beijing) Co., Ltd, No. 156 Jinghai 4th Road, Beijing Economic and Technological Development Zone, Beijing, China.
| | - Yuanyuan Chen
- Zhejiang Tuberculosis Diagnosis and Treatment Center, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Hangzhou, China.
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You Y, Ni YM, Shi G. Diagnostic accuracy of metagenomic next-generation sequencing in pulmonary tuberculosis: a systematic review and meta-analysis. Syst Rev 2024; 13:317. [PMID: 39731100 DOI: 10.1186/s13643-024-02733-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Accepted: 12/04/2024] [Indexed: 12/29/2024] Open
Abstract
BACKGROUND Metagenomic next-generation sequencing (mNGS) has emerged as a promising tool in clinical practice due to its unbiased approach to pathogen detection. Its diagnostic performance in pulmonary tuberculosis (PTB), however, remains to be fully evaluated. OBJECTIVE This study aims to systematically review and Meta-analyze the diagnostic accuracy of mNGS in patients with PTB. METHODS We conducted a literature search in PubMed (MEDLINE), Web of Science, Cochrane, and EMBASE databases, including studies published up to 2024. Studies comparing the diagnostic accuracy of mNGS with other methods such as Xpert-MTB/RIF and Mycobacteria tuberculosis (MTB) culture using bronchoalveolar lavage fluid (BALF), sputum, and lung biopsy tissue were included. Preclinical studies, review articles, editorials, conference abstracts, and book chapters were excluded. Statistical analysis was performed using Rev-man5, R package metabias, and Stata software. RESULTS Thirteen studies met the inclusion criteria and were included in the meta-analysis. The pooled sensitivity and specificity of mNGS for PTB were 83% (95% CI: 69-91%) and 99% (95% CI: 92-100%), respectively. Subgroup analyses revealed that in BALF, mNGS demonstrated a pooled sensitivity of 73% (95% CI: 61-82%) and specificity of 98% (95% CI: 92-100%); in the sputum, the pooled sensitivity was 60% (95% CI: 38-87%) with a specificity of 99% (95% CI: 96-100%); and in the lung biopsy tissue, the pooled sensitivity was 71% (95% CI: 38-95%) and the specificity was 98% (95% CI: 93-100%). For Xpert-MTB/RIF, the pooled sensitivity and specificity were 72% (95% CI: 53-85%) and 100% (95%CI: 100-100%), respectively. Subgroup analyses demonstrated that in BALF, Xpert-MTB/RIF exhibited a pooled sensitivity of 69% (95% CI: 53-81%) and a specificity of 100% (95% CI: 77-100%). The pooled sensitivity and specificity of mycobacteria culture were 50% (95% CI: 36-64%) and 100% (95% CI: 83-100%), respectively. Subgroup analyses indicated that in BALF, the pooled sensitivity of mycobacteria culture was 44% (95% CI: 37-52%) with a specificity of 100% (95% CI: 8-100%); in the sputum, the pooled sensitivity was 42% (95% CI: 21-65%) and the specificity was 100% (95% CI: 100-100%). When combining mNGS with Xpert-MTB/RIF, the pooled sensitivity and specificity were 79% (95% CI: 40-97%) and 98% (95% CI: 95-100%), respectively. CONCLUSION mNGS demonstrates similar diagnostic accuracy to Xpert-MTB/RIF in PTB and outperforms mycobacteria culture in terms of sensitivity. Furthermore, mNGS exhibits good detection capabilities across various PTB clinical samples. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42023427586.
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Affiliation(s)
- Yajie You
- Department of Transfusion, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ying Meng Ni
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guochao Shi
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, China.
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Xin H, Cao X, Feng B, He Y, Guo T, Du J, Shen L, Di Y, Liu Z, Wang D, Zhang B, Zhang Z, Guan X, Shen F, Guan L, Pan S, Duan W, Jin Q, Gao L. CD8 + T cell response in QuantiFERON-TB Gold Plus testing was associated with tuberculosis recurrence: a 2-year prospective study. Infect Dis (Lond) 2024; 56:393-401. [PMID: 38319282 DOI: 10.1080/23744235.2024.2313668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Recurrence posed an important challenge to pulmonary tuberculosis (PTB) control in China. The prospective study aimed to identify potential risk factors and to explore the value of QuantiFERON-TB Gold Plus (QFT-Plus) in identifying at-risk individuals with treated prior PTB history. METHODS All eligible individuals aged ≥18 years who had been diagnosed with PTB before 2016 in Zhongmu County, where with an average level of TB prevalence in China, were included and received baseline survey including chest radiography, QuantiFERON-TB Gold In-Tube (QFT-GIT) and QFT-Plus, then PTB recurrence was tracked through a 2-year follow-up. RESULTS Half of 1068 (52.34%, 559/1068) included eligible participants were QFT-Plus positive at baseline and 21 of them recurred active TB in 2-year follow-up. Individuals aged ≥ 60 years, who had a recent history of TB and smokers were associated with increased risk of TB recurrence with an adjusted odds ratio (aOR) of 3.97 (95% confidence interval (CI): 1.29-12.24), 7.71 (95% CI: 1.74-34.25) and 4.56 (95% CI: 1.62-12.83), respectively. Compared to QFT-Plus negatives, those who were TB2+/TB1- (aOR = 15.34) exhibited stronger association with the risk of TB recurrence than those who were TB1+/TB2+ (aOR = 6.06). A dose response relationship was also found between the risk of TB recurrence with the baseline level of TB2-TB1 (p for trend < 0.001). CONCLUSIONS High burden of TB infection and high risk of PTB recurrence were observed in the study population. Those with recent onset of prior TB, elderly smokers and QFT-Plus positives especially with TB2 single positive deserved further attention in active TB surveillance.
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Affiliation(s)
- Henan Xin
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Xuefang Cao
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Boxuan Feng
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - YiJun He
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Tonglei Guo
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Jiang Du
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Lingyu Shen
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Yuanzhi Di
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Zisen Liu
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Dakuan Wang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Bin Zhang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Zhanjiang Zhang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Xueling Guan
- The Sixth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Fei Shen
- The Sixth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Ling Guan
- The Sixth People's Hospital of Zhengzhou, Zhengzhou, China
| | - Shougao Pan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Weitao Duan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Qi Jin
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Lei Gao
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
- Key Laboratory of Pathogen Infection Prevention and Control (Ministry of Education), National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
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Guan Y, Ma X, Sun X, Zhang H. Metagenomic next-generation sequencing on bronchoalveolar lavage fluid to contribute to diagnosis of subclinical pulmonary tuberculosis with scarce sputum and negative smear in a patient mimicking adult- onset still's disease: A case report. Diagn Microbiol Infect Dis 2024; 108:116165. [PMID: 38176299 DOI: 10.1016/j.diagmicrobio.2023.116165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/10/2023] [Accepted: 12/23/2023] [Indexed: 01/06/2024]
Abstract
Extremely high serum ferritin, which is regarded as a marker of adult-onset still's disease (AOSD), has been rarely observed in patients with TB. We report a case of TB diagnose by metagenomic next-generation sequencing(mNGS) who presented with clinical criteria of AOSD and extreme hyperferritinemia, which posed a diagnostic confusion. TB presenting with major clinical criteria of AOSD should be notable. Since TB remains a potentially curable disease, an awareness of its' protean manifestations is essential. A typical or even normal outcomes of clinical, microbiochemical, and radiologic evaluation should not be overlooked and dedicated diagnostic work-up should be performed for TB diagnosis. For equivocal cases, mNGS could be helpful.
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Affiliation(s)
- Yanchun Guan
- Department of Rheumatology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Xiao Ma
- Department of Anesthesia, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Xiangnan Sun
- Department of Rheumatology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Hongfeng Zhang
- Department of Rheumatology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
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Delarbre D, Junca-Laplace C, Otto MP, Antoine C, Defuentes G. Disseminated tuberculosis after anti-TNF alpha treatment: Do not blindly trust the IGRA test. ENFERMEDADES INFECCIOSAS Y MICROBIOLOGIA CLINICA (ENGLISH ED.) 2024; 42:98-101. [PMID: 37919203 DOI: 10.1016/j.eimce.2023.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/03/2023] [Indexed: 11/04/2023]
Abstract
INTRODUCTION Interferon gamma release assay (IGRA) is used to detect latent tuberculosis prior to biological treatments in the context of suspected inflammatory rheumatism. METHODS We report the case of a 50-year-old woman with negative IGRA test before adalimumab introduction for presumed axial spondyloarthritis. RESULTS The worsening of symptoms under treatment led to further investigations and the diagnostic of disseminated tuberculosis (TB) was later established with miliary and multiple bone locations such as spondylitis and sacroilitis. The patient's history revealed past exposure to tuberculosis. This observation illustrates the limitations of IGRA in such situation due to its variable performance for active TB diagnosis. CONCLUSION Misdiagnosis is frequent in bone tuberculosis due to non-specific signs. We draw the attention to the importance of a global risk assessment prior to the introduction of biological treatment for suspected chronic inflammatory rheumatism and recall the risk factors for false-negative IGRA. An extended treatment course may be necessary after exposure to anti-TNF-alpha.
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Affiliation(s)
- David Delarbre
- Division of Internal Medicine, Military Teaching Hospital Sainte-Anne, 2, Boulevard Sainte-Anne, Toulon Cedex 9, France.
| | - Camille Junca-Laplace
- Radiology Department, Military Teaching Hospital Sainte-Anne, 2, Boulevard Sainte-Anne, Toulon Cedex 9, France
| | - Marie-Pierre Otto
- Microbiology Department, Military Teaching Hospital Sainte-Anne, 2, Boulevard Sainte-Anne, Toulon Cedex 9, France
| | - Carole Antoine
- Division of Internal Medicine, Military Teaching Hospital Sainte-Anne, 2, Boulevard Sainte-Anne, Toulon Cedex 9, France
| | - Gilles Defuentes
- Division of Internal Medicine, Military Teaching Hospital Sainte-Anne, 2, Boulevard Sainte-Anne, Toulon Cedex 9, France
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Mamishi S, Pourakbari B, Hosseinpour Sadeghi R, Marjani M, Mahmoudi S. Diagnostic accuracy of the IFN-γ release assay using RD1 immunodominant T-cell antigens for diagnosis of extrapulmonary tuberculosis. FEMS Microbiol Lett 2024; 371:fnae023. [PMID: 38533666 DOI: 10.1093/femsle/fnae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/13/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024] Open
Abstract
The diagnosis of extrapulmonary tuberculosis (EPTB) poses a significant challenge, with controversies surrounding the accuracy of IFN-γ release assays (IGRAs). This study aimed to assess the diagnostic accuracy of RD1 immunodominant T-cell antigens, including ESAT-6, CFP-10, PE35, and PPE68 proteins, for immunodiagnosis of EPTB. Twenty-nine patients with EPTB were enrolled, and recombinant PE35, PPE68, ESAT-6, and CFP-10 proteins were evaluated in a 3-day Whole Blood Assay. IFN-γ levels were measured using a Human IFN-γ ELISA kit, and the QuantiFERON-TB Gold Plus (QFT-Plus) test was performed. Predominantly, the patients were of Afghan (62%, n = 18) and Iranian (38%, n = 11) nationalities. Eighteen individuals tested positive for QFT-Plus, accounting for 62% of the cases. The positivity rate for IGRA, using each distinct recombinant protein (ESAT-6, PPE68, PE35, and CFP-10), was 72% (n = 21) for every protein tested. Specifically, among Afghan patients, the positivity rates for QFT-Plus and IGRA using ESAT-6, PPE68, PE35, and CFP-10 were 66.7%, 83.3%, 83.3%, 77.8%, and 88.9%, respectively. In contrast, among Iranian patients, the positivity rates for the same antigens were 54.5%, 54.5%, 54.5%, 63.6%, and 45.5%, respectively. In conclusion, our study highlights the potential of IGRA testing utilizing various proteins as a valuable diagnostic tool for EPTB. Further research is needed to elucidate the underlying factors contributing to these disparities and to optimize diagnostic strategies for EPTB in diverse populations.
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Affiliation(s)
- Setareh Mamishi
- Pediatric Infectious Disease Research Center, Tehran University of Medical Sciences, Dr. Gharib Street, Keshavarz Boulevard, Tehran, Iran
- Department of Infectious Diseases, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Dr. Ghaet, Keshavarz Boulevard, Tehran, Iran
| | - Babak Pourakbari
- Pediatric Infectious Disease Research Center, Tehran University of Medical Sciences, Dr. Gharib Street, Keshavarz Boulevard, Tehran, Iran
| | - Reihaneh Hosseinpour Sadeghi
- Pediatric Infectious Disease Research Center, Tehran University of Medical Sciences, Dr. Gharib Street, Keshavarz Boulevard, Tehran, Iran
| | - Majid Marjani
- Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran 1956944413, Iran
| | - Shima Mahmoudi
- Biotechnology Centre, Silesian University of Technology, 44-100 Gliwice, Poland
- Tehran University of Medical Sciences, Tehran, Iran
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Zhu J, Chen N, Shang Y, Feng Y. Case report: Miliary tuberculosis complicated by pediatric acute respiratory distress syndrome in a 12-year-old girl. Front Pediatr 2023; 11:1189838. [PMID: 37732009 PMCID: PMC10507688 DOI: 10.3389/fped.2023.1189838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 08/21/2023] [Indexed: 09/22/2023] Open
Abstract
Acute respiratory distress syndrome (ARDS) is a rare complication of miliary tuberculosis, particularly in pediatric patients. Comorbidities and delayed diagnosis can worsen the prognosis of patients with miliary tuberculosis. A 12-year-old girl presented with fever for 20 days, and cough and tachypnea for 4 days. She was diagnosed with miliary tuberculosis complicated by pediatric ARDS. She had atypical clinical manifestations and imaging findings, a negative contact history, and negative results of a tuberculin skin test (TST) and T-SPOT.TB. Diagnostic bronchoscopy and bronchoalveolar lavage helped make the diagnosis of tuberculosis. Effective treatment was promptly initiated after confirmation of the diagnosis, and the patient's condition improved. This case illustrates that a negative contact history and laboratory results cannot rule out tuberculosis. False-negative TST and T-SPOT.TB results should be evaluated carefully. Bronchoscopy may be useful for identifying pathogens in patients with pneumonia of unknown etiology, and corticosteroids should be administered with caution.
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Affiliation(s)
| | | | | | - Yong Feng
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
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Tang Y, Yu Y, Wang Q, Wen Z, Song R, Li Y, Zhou Y, Ma R, Jia H, Bai S, Abdulsalam H, Du B, Sun Q, Xing A, Pan L, Wang J, Song Y. Evaluation of the IP-10 mRNA release assay for diagnosis of TB in HIV-infected individuals. Front Cell Infect Microbiol 2023; 13:1152665. [PMID: 37333845 PMCID: PMC10272546 DOI: 10.3389/fcimb.2023.1152665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 05/22/2023] [Indexed: 06/20/2023] Open
Abstract
HIV-infected individuals are susceptible to Mycobacterium tuberculosis (M.tb) infection and are at high risk of developing active tuberculosis (TB). Interferon-gamma release assays (IGRAs) are auxiliary tools in the diagnosis of TB. However, the performance of IGRAs in HIV-infected individuals is suboptimal, which limits clinical application. Interferon-inducible protein 10 (IP-10) is an alternative biomarker for identifying M.tb infection due to its high expression after stimulation with M.tb antigens. However, whether IP-10 mRNA constitutes a target for the diagnosis of TB in HIV-infected individuals is unknown. Thus, we prospectively enrolled HIV-infected patients with suspected active TB from five hospitals between May 2021 and May 2022, and performed the IGRA test (QFT-GIT) alongside the IP-10 mRNA release assay on peripheral blood. Of the 216 participants, 152 TB patients and 48 non-TB patients with a conclusive diagnosis were included in the final analysis. The number of indeterminate results of IP-10 mRNA release assay (13/200, 6.5%) was significantly lower than that of the QFT-GIT test (42/200, 21.0%) (P = 0.000026). IP-10 mRNA release assay had a sensitivity of 65.3% (95%CI 55.9% - 73.8%) and a specificity of 74.2% (95%CI 55.4% - 88.1%), respectively; while the QFT-GIT test had a sensitivity of 43.2% (95%CI 34.1% - 52.7%) and a specificity of 87.1% (95%CI 70.2% - 96.4%), respectively. The sensitivity of the IP-10 mRNA release assay was significantly higher than that of QFT-GIT test (P = 0.00062), while no significant difference was detected between the specificities of these two tests (P = 0.198). The IP-10 mRNA release assay showed a lower dependence on CD4+ T cells than that of QFT-GIT test. This was evidenced by the fact that the QFT-GIT test had a higher number of indeterminate results and a lower sensitivity when the CD4+ T cells counts were decreased (P < 0.05), while no significant difference in the number of indeterminate results and sensitivity were observed for the IP-10 mRNA release assay among HIV-infected individuals with varied CD4+T cells counts (P > 0.05). Therefore, our study suggested that M.tb specific IP-10 mRNA is a better biomarker for diagnosis of TB in HIV-infected individuals.
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Affiliation(s)
- Yang Tang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Yanhua Yu
- Department of Clinical Laboratory, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Quan Wang
- Department of Clinical Laboratory, The Eighth Affiliated Hospital, Xinjiang Medical University, Urumqi, China
| | - Zilu Wen
- Department of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Ruixue Song
- Beijing Chest Hospital, Capital Medical University, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yu Li
- Department of Clinical Laboratory, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Yingquan Zhou
- Department of Infectious Diseases, Gansu Provincial Infectious Disease Hospital, Lanzhou, China
| | - Ruiying Ma
- Department of Clinical Laboratory, The Eighth Affiliated Hospital, Xinjiang Medical University, Urumqi, China
| | - Hongyan Jia
- Beijing Chest Hospital, Capital Medical University, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Shaoli Bai
- Department of Infectious Diseases, Gansu Provincial Infectious Disease Hospital, Lanzhou, China
| | - Harimulati Abdulsalam
- Department of Infectious Diseases, The Eighth Affiliated Hospital, Xinjiang Medical University, Urumqi, China
| | - Boping Du
- Beijing Chest Hospital, Capital Medical University, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Qi Sun
- Beijing Chest Hospital, Capital Medical University, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Aiying Xing
- Beijing Chest Hospital, Capital Medical University, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Liping Pan
- Beijing Chest Hospital, Capital Medical University, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Jianyun Wang
- Department of Geriatric Medicine, Gansu Province Hospital Rehabilitation Center, Lanzhou, China
| | - Yanzheng Song
- Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
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Jonas DE, Riley SR, Lee LC, Coffey CP, Wang SH, Asher GN, Berry AM, Williams N, Balio C, Voisin CE, Kahwati LC. Screening for Latent Tuberculosis Infection in Adults: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2023; 329:1495-1509. [PMID: 37129650 DOI: 10.1001/jama.2023.3954] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Importance Latent tuberculosis infection (LTBI) can progress to active tuberculosis disease, causing morbidity and mortality. Objective To review the evidence on benefits and harms of screening for and treatment of LTBI in adults to inform the US Preventive Services Task Force (USPSTF). Data Sources PubMed/MEDLINE, Cochrane Library, and trial registries through December 3, 2021; references; experts; literature surveillance through January 20, 2023. Study Selection English-language studies of LTBI screening, LTBI treatment, or accuracy of the tuberculin skin test (TST) or interferon-gamma release assays (IGRAs). Studies of LTBI screening and treatment for public health surveillance or disease management were excluded. Data Extraction and Synthesis Dual review of abstracts, full-text articles, and study quality; qualitative synthesis of findings; meta-analyses conducted when a sufficient number of similar studies were available. Main Outcomes and Measures Screening test accuracy; development of active tuberculosis disease, transmission, quality of life, mortality, and harms. Results A total of 113 publications were included (112 studies; N = 69 009). No studies directly evaluated the benefits and harms of screening. Pooled estimates for sensitivity of the TST were 0.80 (95% CI, 0.74-0.87) at the 5-mm induration threshold, 0.81 (95% CI, 0.76-0.87) at the 10-mm threshold, and 0.60 (95% CI, 0.46-0.74) at the 15-mm threshold. Pooled estimates for sensitivity of IGRA tests ranged from 0.81 (95% CI, 0.79-0.84) to 0.90 (95% CI, 0.87-0.92). Pooled estimates for specificity of screening tests ranged from 0.95 to 0.99. For treatment of LTBI, a large (n = 27 830), good-quality randomized clinical trial found a relative risk (RR) for progression to active tuberculosis at 5 years of 0.35 (95% CI, 0.24-0.52) for 24 weeks of isoniazid compared with placebo (number needed to treat, 112) and an increase in hepatotoxicity (RR, 4.59 [95% CI, 2.03-10.39]; number needed to harm, 279). A previously published meta-analysis reported that multiple regimens were efficacious compared with placebo or no treatment. Meta-analysis found greater risk for hepatotoxicity with isoniazid than with rifampin (pooled RR, 4.22 [95% CI, 2.21-8.06]; n = 7339). Conclusions and Relevance No studies directly evaluated the benefits and harms of screening for LTBI compared with no screening. TST and IGRAs were moderately sensitive and highly specific. Treatment of LTBI with recommended regimens reduced the risk of progression to active tuberculosis. Isoniazid was associated with higher rates of hepatotoxicity than placebo or rifampin.
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Affiliation(s)
- Daniel E Jonas
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Research Triangle Park
- Department of Internal Medicine, The Ohio State University College of Medicine, Columbus
| | - Sean R Riley
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Research Triangle Park
- Department of Internal Medicine, The Ohio State University College of Medicine, Columbus
| | - Lindsey C Lee
- Department of Internal Medicine, The Ohio State University College of Medicine, Columbus
| | - Cory P Coffey
- Department of Internal Medicine, The Ohio State University College of Medicine, Columbus
| | - Shu-Hua Wang
- Department of Internal Medicine, The Ohio State University College of Medicine, Columbus
- Global One Health Initiative, The Ohio State University, Columbus
| | - Gary N Asher
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Research Triangle Park
- Department of Family Medicine, University of North Carolina at Chapel Hill
| | - Anne M Berry
- Department of Family Medicine, University of North Carolina at Chapel Hill
- Department of Family Medicine and Community Health, Duke University, Durham, North Carolina
| | - Niketa Williams
- Department of Family Medicine, University of North Carolina at Chapel Hill
- North Carolina Department of Health and Human Services, Division of Public Health, Raleigh
| | - Casey Balio
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Research Triangle Park
- Center for Rural Health Research, East Tennessee State University, Johnson City
| | - Christiane E Voisin
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Research Triangle Park
- Department of Internal Medicine, The Ohio State University College of Medicine, Columbus
| | - Leila C Kahwati
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Research Triangle Park
- RTI International, Research Triangle Park, North Carolina
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10
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Liu Y, Wang H, Li Y, Yu Z. Clinical application of metagenomic next-generation sequencing in tuberculosis diagnosis. Front Cell Infect Microbiol 2023; 12:984753. [PMID: 37056463 PMCID: PMC10087082 DOI: 10.3389/fcimb.2022.984753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 09/02/2022] [Indexed: 03/30/2023] Open
Abstract
ObjectiveThe purpose of this study was to evaluate the clinical diagnostic value of metagenomic next-generation sequencing (mNGS) for tuberculosis (TB).MethodsThis retrospective study included 52 patients with suspected TB infection. mNGS, targeted PCR, acid-fast staining and, T-SPOT.TB assay were performed on the specimen. The positive rate of mNGS and traditional detection methods was statistically analyzed. Pathological tests were performed when necessary.ResultsIn total, 52 patients with suspected of TB in this study were included in the analysis, and 31 patients were finally diagnosed with TB. Among 52 patients, 14 (26.9%) cases were positive for acid-fast staining. The positive rate of T-SPOT.TB assay in 52 patients was 73.1% (38/52). Among 52 patients, 39 (75%) were detected positive for Mycobacterium tuberculosis (MTB) by mNGS. Regarding the detection rate of MTB, mNGS were as high as 75% (39/52), whereas acid-resistant staining was only 26.9% (14/52), which showed a statistically significant difference (p<0.05). The positive rates of T-SPOT.TB assay and mNGS were not statistically significant (p>0.05). Of the 52 suspected TB patients, 24 had targeted PCR, of which 18 were PCR positive. In 24 patients, the positive rate of PCR was 75%, and the positive rate of mNGS was 100%, with statistical difference between them (p<0.05).ConclusionsThe detection rate of MTB by mNGS was higher than that by conventional acid-fast staining and PCR, but not statistically significant compared with T-SPOT.TB assay. As an adjunctive diagnostic technology, mNGS can be combined with traditional detection methods to play a guiding role in the diagnosis and treatment of TB.
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Affiliation(s)
- Ying Liu
- Gene Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huifen Wang
- Gene Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yaoguang Li
- Gene Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zujiang Yu
- Gene Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zujiang Yu,
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11
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Luo Y, Xue Y, Liu W, Song H, Huang Y, Tang G, Wang X, Cai Y, Wang F, Guo X, Wang Q, Sun Z. Convolutional neural network based on T-SPOT.TB assay promoting the discrimination between active tuberculosis and latent tuberculosis infection. Diagn Microbiol Infect Dis 2023; 105:115892. [PMID: 36702072 DOI: 10.1016/j.diagmicrobio.2023.115892] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 12/27/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023]
Abstract
OBJECTIVES The study aims to investigate the potential of convolutional neural network (CNN) based on spot image of T-SPOT assay for distinguishing active tuberculosis (ATB) from latent tuberculosis infection (LTBI). METHODS CNN was applied to recognize and classify T-SPOT spot image. Logistic regression was used to establish prediction model based on CNN. RESULTS Areas under the receiver operating characteristic curve (AUCs) of early secreted antigenic target 6 (ESAT-6) CNN, culture filtrate protein 10 (CFP-10) CNN, and phytohemagglutinin (PHA) CNN were more than 0.7 in differentiating ATB from LTBI, while the performance of these indicators was significantly better than that of spot number. Furthermore, prediction model based on the combination of CNNs yielded an AUC of 0.898. The model presented a sensitivity of 85.76% and a specificity of 90.23%. CONCLUSIONS The current study identified CNN based on T-SPOT spot image with the potential to serve as a tool for TB diagnostics.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Huang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaochen Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xueyun Guo
- Department of Dermatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Eurofins Consumer Product Testing (Guangzhou) Co. Ltd., Guangzhou, China
| | - Qi Wang
- Télécom Physique Strasbourg, Illkirch-Graffenstaden, France.
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Chin KL, Anibarro L, Sarmiento ME, Acosta A. Challenges and the Way forward in Diagnosis and Treatment of Tuberculosis Infection. Trop Med Infect Dis 2023; 8:tropicalmed8020089. [PMID: 36828505 PMCID: PMC9960903 DOI: 10.3390/tropicalmed8020089] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 02/03/2023] Open
Abstract
Globally, it is estimated that one-quarter of the world's population is latently infected with Mycobacterium tuberculosis (Mtb), also known as latent tuberculosis infection (LTBI). Recently, this condition has been referred to as tuberculosis infection (TBI), considering the dynamic spectrum of the infection, as 5-10% of the latently infected population will develop active TB (ATB). The chances of TBI development increase due to close contact with index TB patients. The emergence of multidrug-resistant TB (MDR-TB) and the risk of development of latent MDR-TB has further complicated the situation. Detection of TBI is challenging as the infected individual does not present symptoms. Currently, there is no gold standard for TBI diagnosis, and the only screening tests are tuberculin skin test (TST) and interferon gamma release assays (IGRAs). However, these tests have several limitations, including the inability to differentiate between ATB and TBI, false-positive results in BCG-vaccinated individuals (only for TST), false-negative results in children, elderly, and immunocompromised patients, and the inability to predict the progression to ATB, among others. Thus, new host markers and Mtb-specific antigens are being tested to develop new diagnostic methods. Besides screening, TBI therapy is a key intervention for TB control. However, the long-course treatment and associated side effects result in non-adherence to the treatment. Additionally, the latent MDR strains are not susceptible to the current TBI treatments, which add an additional challenge. This review discusses the current situation of TBI, as well as the challenges and efforts involved in its control.
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Affiliation(s)
- Kai Ling Chin
- Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
- Borneo Medical and Health Research Centre, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
- Correspondence: (K.L.C.); (L.A.); (A.A.)
| | - Luis Anibarro
- Tuberculosis Unit, Infectious Diseases and Internal Medicine Department, Complexo Hospitalario Universitario de Pontevedra, 36071 Pontevedra, Spain
- Immunology Research Group, Galicia Sur Health Research Institute (IIS-GS), 36312 Vigo, Spain
- Correspondence: (K.L.C.); (L.A.); (A.A.)
| | - Maria E. Sarmiento
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Malaysia
| | - Armando Acosta
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian 16150, Malaysia
- Correspondence: (K.L.C.); (L.A.); (A.A.)
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13
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High accuracy of recombinant fusion protein early secretory antigenic target protein 6-culture filtrate protein 10 skin test for the detection of tuberculosis infection: a phase III, multi-centered, double-blind, hospital-based, randomized controlled trial. Int J Infect Dis 2023; 126:98-103. [PMID: 36400376 DOI: 10.1016/j.ijid.2022.11.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES To verify the diagnostic utility of recombinant fusion protein ESAT6-CPF10 (EC), a novel skin test reagent to detect Mycobacterium tuberculosis infection. METHODS A multi-centered, double-blind, randomized controlled trial was conducted from December 17, 2015, to March 2, 2018. Participants involved in this study included those with active tuberculosis (TB), suspected pulmonary TB, or non-TB pulmonary disease. Each participant received three tests simultaneously, TB-specific enzyme-linked immunospot assay (T-SPOT.TB), tuberculin skin test (TST), and EC skin test (ECST), and adverse events were reported. RESULTS Diagnostic accuracy was analyzed using data from 1085 protocol-compliant participants. The sensitivities of the ECST, TST, and T-SPOT.TB were 91.2% (95% CI, 89.0-93.2%), 91.4% (95% CI, 89.1-93.3%), and 92.1% (95% CI, 89.9-93.9%), respectively. The specificities of the ECST (69.7%, 95% CI, 64.5-74.5%) and T-SPOT.TB (76.1%, 95% CI, 71.2-80.5%) were significantly higher than the TST (54.4%, 95% CI, 48.9-59.7%). The agreements between ECST and TST (kappa = 0.632) and between ECST and T-SPOT.TB (kappa = 0.780) were substantial. No severe adverse event was reported. CONCLUSION The diagnostic performance of the ECST was close to the T-SPOT.TB assay in the detection of TB infection and indicated good potential for clinical application in common scenarios.
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Luo Y, Xue Y, Liu W, Song H, Huang Y, Tang G, Wang F, Wang Q, Cai Y, Sun Z. Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection. BMC Infect Dis 2022; 22:965. [PMID: 36581808 PMCID: PMC9798640 DOI: 10.1186/s12879-022-07954-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/19/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. The present study aims to investigate the value of diagnostic models established by machine learning based on multiple laboratory data for distinguishing Mycobacterium tuberculosis (Mtb) infection status. METHODS T-SPOT, lymphocyte characteristic detection, and routine laboratory tests were performed on participants. Diagnostic models were built according to various algorithms. RESULTS A total of 892 participants (468 ATB and 424 LTBI) and another 263 participants (125 ATB and 138 LTBI), were respectively enrolled at Tongji Hospital (discovery cohort) and Sino-French New City Hospital (validation cohort). Receiver operating characteristic (ROC) curve analysis showed that the value of individual indicator for differentiating ATB from LTBI was limited (area under the ROC curve (AUC) < 0.8). A total of 28 models were successfully established using machine learning. Among them, the AUCs of 25 models were more than 0.9 in test set. It was found that conditional random forests (cforest) model, based on the implementation of the random forest and bagging ensemble algorithms utilizing conditional inference trees as base learners, presented best discriminative power in segregating ATB from LTBI. Specially, cforest model presented an AUC of 0.978, with the sensitivity of 93.39% and the specificity of 91.18%. Mtb-specific response represented by early secreted antigenic target 6 (ESAT-6) and culture filtrate protein 10 (CFP-10) spot-forming cell (SFC) in T-SPOT assay, as well as global adaptive immunity assessed by CD4 cell IFN-γ secretion, CD8 cell IFN-γ secretion, and CD4 cell number, were found to contribute greatly to the cforest model. Superior performance obtained in the discovery cohort was further confirmed in the validation cohort. The sensitivity and specificity of cforest model in validation set were 92.80% and 89.86%, respectively. CONCLUSIONS Cforest model developed upon machine learning could serve as a valuable and prospective tool for identifying Mtb infection status. The present study provided a novel and viable idea for realizing the clinical diagnostic application of the combination of machine learning and laboratory findings.
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Affiliation(s)
- Ying Luo
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Ying Xue
- grid.33199.310000 0004 0368 7223Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, China
| | - Wei Liu
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Huijuan Song
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Yi Huang
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Guoxing Tang
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Feng Wang
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Qi Wang
- Télécom Physique Strasbourg, Illkirch-Graffenstaden, France
| | - Yimin Cai
- grid.33199.310000 0004 0368 7223Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, China
| | - Ziyong Sun
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
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Sun Y, Yao X, Ni Y, Peng Y, Shi G. Diagnostic Efficacy of T-SPOT.TB for Active Tuberculosis in Adult: A Retrospective Study. Infect Drug Resist 2022; 15:7077-7093. [DOI: 10.2147/idr.s388568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
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Rao J, Rao Y, Guo Y, Jiang M, Long D, Luo Q, Huang Z, Li J. Platelets correlate with false negative T-SPOT.TB results by inhibiting interferon-γ production in T cells via degranulation. Front Cell Infect Microbiol 2022; 12:937416. [PMID: 36093183 PMCID: PMC9449319 DOI: 10.3389/fcimb.2022.937416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/09/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundT-SPOT.TB (T-SPOT) is widely used for the detection of Mycobacterium tuberculosis infection by detecting interferon-gamma (IFN-γ) release in T lymphocytes. This assay is performed on peripheral blood mononuclear cells (PBMCs) separated by Ficoll density gradient centrifugation, which often contain some residual platelets. Here, we investigated the impact of platelets on T-SPOT assay and related mechanisms.MethodsThe correlation between platelet count, platelet-to-lymphocyte ratio (PLR), and the IFN-γ secreting T cells (ISCs) in positive control wells of T-SPOT assay were retrospectively analyzed. T-SPOT assay was performed with un-treated PBMCs, platelets-removed PBMCs, and platelets-enriched PBMCs to confirm the impact of platelets on T-SPOT assay. The activation of platelets and their impact on IFN-γ production in T cells were detected by flow cytometry (FCM). Platelets and T cells were cultured in a mixed culture system and co-culture system respectively, followed by detection of the frequencies of IFN-γ-producing T cells and the levels of intracellular IFN-γ in T cells by FCM. Moreover, the effect of platelet releasate on the T-SPOT assay was evaluated.ResultsThe ISCs in positive control wells of the T-SPOT assay showed a significant decrease with the increase in platelet count. The PLR of the peripheral blood were negatively correlated with the ISCs in positive control wells of the T-SPOT assay. Removal or enrichment of platelets significantly increased or decreased the ISCs and the positive rate of T-SPOT. Inhibition of platelet activation significantly increased the ISCs of T-SPOT. The frequencies of IFN-γ-producing T cells in PBMCs and the levels of intracellular IFN-γ were significantly reduced by the addition of platelets, both in the mixed culture system and the co-culture system. Platelet releasate upon thrombin activation significantly decreased the ISCs of T-SPOT.ConclusionsPlatelets correlate with negative T-SPOT results by inhibiting IFN-γ production in T cells via degranulation.
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Affiliation(s)
| | | | | | | | | | | | | | - Junming Li
- *Correspondence: Zikun Huang, ; Junming Li,
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Seth A, Mittal E, Luan J, Kolla S, Mazer MB, Joshi H, Gupta R, Rathi P, Wang Z, Morrissey JJ, Ernst JD, Portal-Celhay C, Morley SC, Philips JA, Singamaneni S. High-resolution imaging of protein secretion at the single-cell level using plasmon-enhanced FluoroDOT assay. CELL REPORTS METHODS 2022; 2:100267. [PMID: 36046626 PMCID: PMC9421537 DOI: 10.1016/j.crmeth.2022.100267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/28/2022] [Accepted: 07/13/2022] [Indexed: 11/30/2022]
Abstract
Secreted proteins mediate essential physiological processes. With conventional assays, it is challenging to map the spatial distribution of proteins secreted by single cells, to study cell-to-cell heterogeneity in secretion, or to detect proteins of low abundance or incipient secretion. Here, we introduce the "FluoroDOT assay," which uses an ultrabright nanoparticle plasmonic-fluor that enables high-resolution imaging of protein secretion. We find that plasmonic-fluors are 16,000-fold brighter, with nearly 30-fold higher signal-to-noise compared with conventional fluorescence labels. We demonstrate high-resolution imaging of different secreted cytokines in the single-plexed and spectrally multiplexed FluoroDOT assay that revealed cellular heterogeneity in secretion of multiple proteins simultaneously. Using diverse biochemical stimuli, including Mycobacterium tuberculosis infection, and a variety of immune cells such as macrophages, dendritic cells (DCs), and DC-T cell co-culture, we demonstrate that the assay is versatile, facile, and widely adaptable for enhancing biological understanding of spatial and temporal dynamics of single-cell secretome.
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Affiliation(s)
- Anushree Seth
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
- Auragent Bioscience, LLC, St. Louis, MO 63108, USA
| | - Ekansh Mittal
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63130, USA
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63130, USA
| | - Jingyi Luan
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Samhitha Kolla
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Monty B. Mazer
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Hemant Joshi
- Division of Infectious Diseases, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Immunobiology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Rohit Gupta
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Priya Rathi
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Zheyu Wang
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Jeremiah J. Morrissey
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Joel D. Ernst
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA 94110, USA
| | - Cynthia Portal-Celhay
- Division of Infectious Diseases, Department of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Sharon Celeste Morley
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Division of Infectious Diseases, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jennifer A. Philips
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63130, USA
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63130, USA
| | - Srikanth Singamaneni
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
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Using TBAg/PHA Ratio for Monitoring TB Treatment: A Prospective Multicenter Study. J Clin Med 2022; 11:jcm11133780. [PMID: 35807065 PMCID: PMC9267548 DOI: 10.3390/jcm11133780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/21/2022] [Accepted: 06/27/2022] [Indexed: 12/18/2022] Open
Abstract
The way to monitor tuberculosis (TB) treatment is extremely lacking in clinical practice. The aim of the study is to assess the role of the TBAg/PHA ratio in the treatment monitoring of TB. TB patients were followed up for 6 months and serial T-SPOT.TB (T-SPOT) assays were performed. In patients with successful treatment outcomes, the ESAT-6 sfc, CFP-10 sfc, and TBAg/PHA ratio all showed a decreased trend after the initiation of treatment. Conversely, PHA sfc showed an increased trend after 2 months of treatment. However, these indicators had moderate performance in distinguishing between before and after 6 months of treatment, and the AUC ranged from 0.702 to 0.839. Notably, the TBAg/PHA ratio in patients without risk factors was of important value in differentiation between before and after treatment. The optimal AUC of TBAg/PHA ratio reached up to 0.890. Patients with unsuccessful treatment outcomes showed persistently high levels of TBAg/PHA ratio. The TBAg/PHA ratio in patients after 6 months of treatment showed a certain potential in distinguishing between patients with successful and unsuccessful treatment outcomes. A further calculation of the TBAg/PHA ratio in T-SPOT assay has potential value in the treatment monitoring of TB, but further confirmation is needed.
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Wang ZZ, Wang H. Giant Lupus Vulgaris with Negative T-SPOT.TB, a Case Report and Literature Review. Clin Cosmet Investig Dermatol 2022; 15:1119-1123. [PMID: 35755828 PMCID: PMC9215351 DOI: 10.2147/ccid.s366136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 06/15/2022] [Indexed: 11/23/2022]
Abstract
Lupus vulgaris is a paucibacillary form of cutaneous tuberculosis (CTB) which is accounting for 1–2% of all tuberculosis cases. Here, we report a rare huge lupus vulgaris misdiagnosed as sarcoidosis for 11 years. A 65-year-old man presented to dermatology outpatient with a large asymptomatic erythematous plaque and erosions on his neck. Sarcoidosis was initially diagnosed on the basis of negative interferon-gamma release tests and biopsies of lymph nodes and lesions. The patient was treated with long-term oral steroid and immunosuppressive agents, but the lesions expanded gradually. Lupus vulgaris was finally diagnosed by combining molecular detection and mycobacterial culture. The skin lesions were resolved after six months of standard antituberculosis therapy. We report this case to analyze the reasons for the misdiagnosis and review-related literature to further provide experience for the diagnosis and treatment of cutaneous tuberculosis with negative T-SPOT.TB.
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Affiliation(s)
- Zhen-Zhen Wang
- Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, People's Republic of China
| | - Hongsheng Wang
- Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, People's Republic of China.,Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
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Zhang L, Yang Z, Bao X, Ma H, Ge Q, Zhang Y, Cao Q, Gao M, Liu X. Comparison of diagnostic accuracy of QuantiFERON-TB Gold Plus and T-SPOT.TB in the diagnosis of active tuberculosis in febrile patients. J Evid Based Med 2022; 15:97-105. [PMID: 35762517 PMCID: PMC9540107 DOI: 10.1111/jebm.12477] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/29/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE This study aimed to compare the accuracy of QuantiFERON-TB Gold Plus (QFT-Plus) and T-SPOT.TB for diagnosing active tuberculosis (ATB) in febrile patients, to explore influencing factors of positive results and to verify the potential value of QFT-Plus in the identification of ATB and latent tuberculosis infection (LTBI). METHODS A total of 240 febrile patients with ATB (n = 80) and non-ATB (n = 160) were recruited to assess the accuracy of QFT-Plus and T-SPOT.TB for diagnosing ATB. Multivariable logistic regression was used to analyze the influencing factors of positive results. RESULTS The proportion of indeterminate results (ITRS) in QFT-Plus and T-SPOT.TB were 3.3% and 0%, respectively. The consistency between the results of the QFT-Plus and T-SPOT.TB was substantial. The area under the receiver operating characteristic curve (AUROC) of the QFT-Plus and T-SPOT.TB for diagnosing ATB was 0.792 and 0.849 (p = 0.070), respectively. The sensitivity of differentiating ATB from non-ATB was 92.2% in QFT-Plus versus 95.0% in T-SPOT.TB. The influencing factors of T-SPOT.TB positive result were male (odds ratio (OR) = 2.33, 95% confidence interval (CI) 1.27-4.26, p = 0.006), evidence of previous TB (OR 11.36, 95% CI 4.62-27.94, p < 0.001), while male (OR = 3.17, 95% CI 1.73-5.84, p < 0.001), evidence of previous TB (OR = 7.58, 95% CI 3.60-15.98, p <0.001), and use of immunosuppressant (OR = 0.49, 95% CI 0.260.94, p = 0.030) were influencing factors for QFT-Plus positive result. There was no significant difference in QFT-Plus in differentiating ATB from LTBI in febrile patients. CONCLUSION There was no significant difference between QFT-Plus and T-SPOT.TB for diagnosing ATB in febrile patients. QFT-Plus is prone to ITRS. The influencing factors including males, evidence of the previous TB, and use of immunosuppressant should be considered when interpreting positive results.
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Affiliation(s)
- Lifan Zhang
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Clinical Epidemiology Unit, Peking Union Medical CollegeInternational Clinical Epidemiology NetworkBeijingChina
- Center for Tuberculosis ResearchChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhengrong Yang
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xinmiao Bao
- M.D. ProgramPeking Union Medical CollegeBeijingChina
| | - Huimin Ma
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Qiping Ge
- Department of Tuberculosis, Beijing Chest HospitalCapital Medical University/Beijing Tuberculosis and Thoracic Tumor Research InstituteBeijingChina
| | - Yueqiu Zhang
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Qifei Cao
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest HospitalCapital Medical University/Beijing Tuberculosis and Thoracic Tumor Research InstituteBeijingChina
| | - Xiaoqing Liu
- Division of Infectious Diseases, Department of Internal medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Clinical Epidemiology Unit, Peking Union Medical CollegeInternational Clinical Epidemiology NetworkBeijingChina
- Center for Tuberculosis ResearchChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Pan L, Huang M, Jia H, Deng G, Chen Y, Wei R, Zhang M, Li X, Sun Q, Fang M, Ren P, Xing A, Chen Q, Li X, Du B, Chen T, Gao M, Zhang Z. Diagnostic Performance of a Novel CXCL10 mRNA Release Assay for Mycobacterium tuberculosis Infection. Front Microbiol 2022; 13:825413. [PMID: 35432271 PMCID: PMC9005954 DOI: 10.3389/fmicb.2022.825413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/14/2022] [Indexed: 11/13/2022] Open
Abstract
One-fourth of the world’s population has been infected with Mycobacterium tuberculosis (M.tb). Although interferon-gamma release assays (IGRAs) have been shown to be valid methods for identifying M.tb infection and auxiliary methods for diagnosis of active tuberculosis (TB), lower sensitivity and higher indeterminate rate were often detected among immunosuppressed patients. IP-10 was an alternative biomarker due to the higher expression level after M.tb antigen stimulation, but whether CXCL10 mRNA (the gene that transcribes for the IP-10 protein) can be used as a target for M.tb infection diagnosis was limited. Therefore, we aimed to evaluate the performance of a novel M.tb-specific CXCL10 mRNA release assay in diagnosis of M.tb infection. Suspected TB patients and healthy controls were prospectively recruited between March 2018 and November 2019 from three hospitals in China. CXCL10 mRNA release assay and traditional interferon-gamma release assay (T-SPOT.TB) were simultaneously performed on peripheral blood. Of the 1,479 participants enrolled in the study, 352 patients with definite TB and 153 healthy controls were analyzed. CXCL10 mRNA release assay provided a sensitivity of 93.9% (95% CI = 90.8–96.2%) and a specificity of 98.0% (95% CI = 94.3–99.6%) in the diagnosis of M.tb infection, respectively, while T-SPOT.TB gave a sensitivity of 94.5% (95% CI = 91.5–96.6%) and a specificity of 100% (95% CI = 97.6–100.0%) in the diagnosis of M.tb infection, respectively. The diagnostic performance of CXCL10 mRNA release assay was consistent with T-SPOT.TB, with a total coincidence rate of 95.0% (95% CI = 93.0–96.9%) and a Cohen’s kappa value of 0.89 (0.84–0.93, p < 0.001). However, among TB patients with HIV co-infection (n = 14), CXCL10 mRNA release assay presented significantly higher positive rate [92.9% (66.1–99.8%) vs. 61.5% (31.6–86.1%), p = 0.029] than those of T-SPOT.TB. These results suggested that M.tb-specific CXCL10 mRNA was a novel and useful target in the diagnosis of M.tb infection.
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Affiliation(s)
- Liping Pan
- Beijing Chest Hospital, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Mailing Huang
- Department of Tuberculosis, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Hongyan Jia
- Beijing Chest Hospital, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Guofang Deng
- Department of Pulmonary Medicine, The Third People's Hospital of Shenzhen, Shenzhen, China
| | - Yu Chen
- Department of Tuberculosis, Henan Provincial Infectious Disease Hospital, Zhengzhou, China
| | - Rongrong Wei
- Beijing Chest Hospital, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Mingxia Zhang
- Laboratory Medical Center, The Third People's Hospital of Shenzhen, Guangdong Key Lab of Emerging Infectious Diseases, Shenzhen, China
| | - Xin Li
- Laboratory Medical Center, Henan Provincial Infectious Disease Hospital, Zhengzhou, China
| | - Qi Sun
- Beijing Chest Hospital, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Mutong Fang
- Department of Pulmonary Medicine, The Third People's Hospital of Shenzhen, Shenzhen, China
| | - Pengfei Ren
- Department of Tuberculosis, Henan Provincial Infectious Disease Hospital, Zhengzhou, China
| | - Aiying Xing
- Beijing Chest Hospital, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Qi Chen
- Laboratory Medical Center, The Third People's Hospital of Shenzhen, Guangdong Key Lab of Emerging Infectious Diseases, Shenzhen, China
| | - Xinxin Li
- Department of Tuberculosis, Henan Provincial Infectious Disease Hospital, Zhengzhou, China
| | - Boping Du
- Beijing Chest Hospital, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Tao Chen
- Department of Pulmonary Medicine, The Third People's Hospital of Shenzhen, Shenzhen, China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Zongde Zhang
- Beijing Chest Hospital, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
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22
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A Fatal Case of Concurrent Disseminated Tuberculosis, Pneumocystis Pneumonia, and Bacterial Septic Shock in a Patient with Rheumatoid Arthritis Receiving Methotrexate, Glucocorticoid, and Tocilizumab: An Autopsy Report. Case Rep Rheumatol 2021; 2021:7842049. [PMID: 34532148 PMCID: PMC8440108 DOI: 10.1155/2021/7842049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 08/30/2021] [Indexed: 12/02/2022] Open
Abstract
Recently, treatment for rheumatoid arthritis has dramatically improved but increases the risk of bacterial and opportunistic infections. Herein, we report a fatal case of concurrent disseminated tuberculosis, pneumocystis pneumonia, and septic shock due to pyelonephritis caused by extended-spectrum β-lactamase-producing Escherichia coli in a patient with rheumatoid arthritis who received methotrexate, glucocorticoid, and tocilizumab. Despite undergoing intensive treatment, the patient developed respiratory failure and died after 7 days of admission. An autopsy indicated that pulmonary tuberculosis were the ultimate causes of death, while pyelonephritis was controlled.
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Diagnostic Accuracy of Metagenomic Next-Generation Sequencing in Sputum-Scarce or Smear-Negative Cases with Suspected Pulmonary Tuberculosis. BIOMED RESEARCH INTERNATIONAL 2021; 2021:9970817. [PMID: 34527747 PMCID: PMC8437628 DOI: 10.1155/2021/9970817] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/09/2021] [Accepted: 08/25/2021] [Indexed: 12/28/2022]
Abstract
Objective To investigate the diagnostic accuracy of metagenomic next-generation sequencing (mNGS) in bronchoalveolar lavage fluid (BALF) samples or lung biopsy specimens from which suspected pulmonary tuberculosis (PTB) patients have no sputum or negative smear. Materials and Methods Sputum-scarce or smear-negative cases with suspected PTB (n = 107) were analyzed from January 2018 to June 2020. We collected BALF or lung tissue biopsy samples with these cases of suspected TB during hospitalization. The diagnostic accuracy of mNGS for these samples was compared with those of conventional tests or the T-SPOT.TB assay. Results 46 cases of PTB patients and 61 cases of non-PTB patients were finally enrolled and analyzed. mNGS exhibited a sensitivity of 89.13%, which was higher than conventional tests (67.39%) but equivalent to those of the T-SPOT.TB assay alone (76.09%) or T-SPOT.TB assay in combination with conventional tests (91.30%). The specificity of mNGS was 98.36%, similar to conventional tests (95.08%) but significantly higher than those of the T-SPOT.TB assay alone (65.57%) or the T-SPOT.TB assay in combination with conventional tests (63.93%). There was no significant difference in the diagnostic accuracy of mNGS in BALF samples and lung biopsy tissue specimens. Conclusion Our findings demonstrate that mNGS could offer improved detection of Mycobacterium tuberculosis in BALF or lung tissue biopsy samples in sputum-scarce or smear-negative cases with suspected PTB.
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Luo Y, Xue Y, Mao L, Lin Q, Tang G, Song H, Liu W, Tong S, Hou H, Huang M, Ouyang R, Wang F, Sun Z. Activation Phenotype of Mycobacterium tuberculosis-Specific CD4 + T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection. Front Immunol 2021; 12:721013. [PMID: 34512645 PMCID: PMC8426432 DOI: 10.3389/fimmu.2021.721013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 07/29/2021] [Indexed: 12/13/2022] Open
Abstract
Background Rapid and effective discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains a challenge. There is an urgent need for developing practical and affordable approaches targeting this issue. Methods Participants with ATB and LTBI were recruited at Tongji Hospital (Qiaokou cohort) and Sino-French New City Hospital (Caidian cohort) based on positive T-SPOT results from June 2020 to January 2021. The expression of activation markers including HLA-DR, CD38, CD69, and CD25 was examined on Mycobacterium tuberculosis (MTB)-specific CD4+ T cells defined by IFN-γ, TNF-α, and IL-2 expression upon MTB antigen stimulation. Results A total of 90 (40 ATB and 50 LTBI) and another 64 (29 ATB and 35 LTBI) subjects were recruited from the Qiaokou cohort and Caidian cohort, respectively. The expression patterns of Th1 cytokines including IFN-γ, TNF-α, and IL-2 upon MTB antigen stimulation could not differentiate ATB patients from LTBI individuals well. However, both HLA-DR and CD38 on MTB-specific cells showed discriminatory value in distinguishing between ATB patients and LTBI individuals. As for developing a single candidate biomarker, HLA-DR had the advantage over CD38. Moreover, HLA-DR on TNF-α+ or IL-2+ cells had superiority over that on IFN-γ+ cells in differentiating ATB patients from LTBI individuals. Besides, HLA-DR on MTB-specific cells defined by multiple cytokine co-expression had a higher ability to discriminate patients with ATB from LTBI individuals than that of MTB-specific cells defined by one kind of cytokine expression. Specially, HLA-DR on TNF-α+IL-2+ cells produced an AUC of 0.901 (95% CI, 0.833–0.969), with a sensitivity of 93.75% (95% CI, 79.85–98.27%) and specificity of 72.97% (95% CI, 57.02–84.60%) as a threshold of 44% was used. Furthermore, the performance of HLA-DR on TNF-α+IL-2+ cells for differential diagnosis was obtained with validation cohort data: 90.91% (95% CI, 72.19–97.47%) sensitivity and 68.97% (95% CI, 50.77–82.73%) specificity. Conclusions We demonstrated that HLA-DR on MTB-specific cells was a potentially useful biomarker for accurate discrimination between ATB and LTBI.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shutao Tong
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Huang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Renren Ouyang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Fenhua J, Daohui W, Hui L, Xiaodong X, Wen H. Diagnostic value of combined pleural interleukin-33, adenosine deaminase and peripheral blood tuberculosis T cell spot detection TB for tuberculous pleurisy. BMC Infect Dis 2021; 21:861. [PMID: 34425761 PMCID: PMC8381589 DOI: 10.1186/s12879-021-06575-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 08/13/2021] [Indexed: 12/28/2022] Open
Abstract
Background To investigate the correlation between pleural fluid interleukin-33 (IL-33) and adenosine deaminase (ADA) and peripheral blood tuberculosis T cell spot detection (T-SPOT.TB), and the combined value of the three tests for the diagnosis of tuberculous pleurisy. Methods 79 patients with pleural effusion admitted from June 2017 to December 2018 were enrolled. They were divided into tuberculous pleural effusion (TPE) group (57 cases, 72.2%) and malignant pleural effusion group (17 cases, 21.5%), pneumonia-like pleural effusion group (5 cases, 6.3%). Correlation between pleural fluid IL-33, pleural effusion ADA and peripheral blood T-SPOT.TB was analyzed, comparison of the three separate and combined diagnostic efficacy was also performed. Results The levels of IL-33, ADA and peripheral blood T-SPOT.TB in patients with TPE were significantly higher than those in non-TPE (P < 0.001). The level of pleural fluid IL-33 was positively correlated with pleural effusion ADA and peripheral blood T-SPOT.TB. The Area under the ROC curve (AUC) of TPE diagnosed by pleural IL-33, ADA and peripheral blood T-SPOT.TB were 0.753, 0.912 and 0.865, respectively. AUC for combined detection of pleural effusion IL-33, ADA and peripheral blood T-SPOT.TB is the largest, with a value of 0.962. Specificity is 100% and sensitivity is 88.5%. Conclusion Combined detection of pleural effusion IL-33, ADA and peripheral blood T-SPOT.TB can improve the diagnostic efficacy of tuberculous pleurisy. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-021-06575-w.
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Affiliation(s)
- Jin Fenhua
- Department of Respiratory Medicine, The Second Affiliated Hospital of Wenzhou Medical University, 109, Xueyuan Western Road, Wenzhou, 325027, Zhejiang, People's Republic of China
| | - Wang Daohui
- Department of Respiratory Medicine, The Second Affiliated Hospital of Wenzhou Medical University, 109, Xueyuan Western Road, Wenzhou, 325027, Zhejiang, People's Republic of China
| | - Lin Hui
- Department of Respiratory Medicine, The Second Affiliated Hospital of Wenzhou Medical University, 109, Xueyuan Western Road, Wenzhou, 325027, Zhejiang, People's Republic of China
| | - Xia Xiaodong
- Department of Respiratory Medicine, The Second Affiliated Hospital of Wenzhou Medical University, 109, Xueyuan Western Road, Wenzhou, 325027, Zhejiang, People's Republic of China
| | - Huang Wen
- Department of Nephrology Medicine, The Second Affiliated Hospital of Wenzhou Medical University, 109, Xueyuan Western Road, Wenzhou, 325027, Zhejiang, People's Republic of China.
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Guo J, Li Q, Zhang X, Yao C, Liu R, Pang Y, Gao M. Increased Expression of IL-10 in Peripheral Blood Mononuclear Cells Correlates with Negative Interferon-γ Release Assay Results in Culture-Confirmed Tuberculosis Patients. Infect Drug Resist 2021; 14:3135-3143. [PMID: 34413657 PMCID: PMC8370592 DOI: 10.2147/idr.s314084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 07/01/2021] [Indexed: 11/25/2022] Open
Abstract
Introduction Interferon-γ release assays (IGRAs) can have high false-negative rates for active tuberculosis (TB) cases. Here we investigated factors, including potential anti-inflammatory mechanisms, that contributed to false-negative IGRA results. Methods We established two cohorts. In the first cohort, we reviewed IGRA results for confirmed TB cases diagnosed in our hospital in 2018. Cases with false-negative IGRA results were analysed to identify factors contributing to false-negative results. In the second cohort, we prospectively studied IL-10 expression levels in peripheral blood mononuclear cells (PBMCs) of IGRAs-positive and IGRAs-negative TB cases after antigenic stimulation to correlate IL-10 expression with IGRAs results. Results Of 1232 culture-confirmed TB cases, 1124 produced true-positive IGRA results and 108 had false-negative IGRA results. Multivariate logistic regression analysis identified glucocorticoid use and extrapulmonary TB as independent risk factors for false-negative IGRA results. Notably, IL-10 expression of the IGRA-negative group was significantly up-regulated as compared to that of the IGRA-positive group. The average cell supernatant IL-10 concentration of the IGRA-negative group was 4.77 pg/mL, a value that was statistically greater than the IGRA-positive group concentration (1.47 pg/mL, P = 0.007). After PBMCs pretreatment with BRD6989 (to enhance IL-10 secretion), average IFN-γ concentrations in cell supernatants from the IGRA-positive group significantly decreased from 59.73 pg/mL to 33.79 pg/mL (P = 0.011). By contrast, addition of AS101 (to inhibit IL-10 secretion) to false-negative group PBMCs led to an increase of average IFN-γ concentration in cell supernatants from 19.01 pg/mL to 45.10 pg/mL (P = 0.030), a result that was inversely correlated with IL-10 concentration. Conclusion Our data demonstrate that increased IL-10 secretion by PBMCs is inversely correlated with IGRA assay results in culture-confirmed TB patients. Glucocorticoids use and extrapulmonary TB are significantly associated with false-negative IGRA results. Combination testing to measure IL-10 secretion and IFN-γ release is recommended to improve IGRAs specificity.
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Affiliation(s)
- Jidong Guo
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China.,Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
| | - Qiang Li
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
| | - Rongmei Liu
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
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Luo Y, Xue Y, Tang G, Cai Y, Yuan X, Lin Q, Song H, Liu W, Mao L, Zhou Y, Chen Z, Zhu Y, Liu W, Wu S, Wang F, Sun Z. Lymphocyte-Related Immunological Indicators for Stratifying Mycobacterium tuberculosis Infection. Front Immunol 2021; 12:658843. [PMID: 34276653 PMCID: PMC8278865 DOI: 10.3389/fimmu.2021.658843] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 06/10/2021] [Indexed: 12/16/2022] Open
Abstract
Background Easily accessible tools that reliably stratify Mycobacterium tuberculosis (MTB) infection are needed to facilitate the improvement of clinical management. The current study attempts to reveal lymphocyte-related immune characteristics of active tuberculosis (ATB) patients and establish immunodiagnostic model for discriminating ATB from latent tuberculosis infection (LTBI) and healthy controls (HC). Methods A total of 171 subjects consisted of 54 ATB, 57 LTBI, and 60 HC were consecutively recruited at Tongji hospital from January 2019 to January 2021. All participants were tested for lymphocyte subsets, phenotype, and function. Other examination including T-SPOT and microbiological detection for MTB were performed simultaneously. Results Compared with LTBI and HC, ATB patients exhibited significantly lower number and function of lymphocytes including CD4+ T cells, CD8+ T cells and NK cells, and significantly higher T cell activation represented by HLA-DR and proportion of immunosuppressive cells represented by Treg. An immunodiagnostic model based on the combination of NK cell number, HLA-DR+CD3+ T cells, Treg, CD4+ T cell function, and NK cell function was built using logistic regression. Based on receiver operating characteristic curve analysis, the area under the curve (AUC) of the diagnostic model was 0.920 (95% CI, 0.867-0.973) in distinguishing ATB from LTBI, while the cut-off value of 0.676 produced a sensitivity of 81.48% (95% CI, 69.16%-89.62%) and specificity of 91.23% (95% CI, 81.06%-96.20%). Meanwhile, AUC analysis between ATB and HC according to the diagnostic model was 0.911 (95% CI, 0.855-0.967), with a sensitivity of 81.48% (95% CI, 69.16%-89.62%) and a specificity of 90.00% (95% CI, 79.85%-95.34%). Conclusions Our study demonstrated that the immunodiagnostic model established by the combination of lymphocyte-related indicators could facilitate the status differentiation of MTB infection.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Zhou
- Department of Laboratory Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Zhongju Chen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yaowu Zhu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiyong Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiji Wu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Luo Y, Xue Y, Cai Y, Lin Q, Tang G, Song H, Liu W, Mao L, Yuan X, Zhou Y, Liu W, Wu S, Sun Z, Wang F. Lymphocyte Non-Specific Function Detection Facilitating the Stratification of Mycobacterium tuberculosis Infection. Front Immunol 2021; 12:641378. [PMID: 33953714 PMCID: PMC8092189 DOI: 10.3389/fimmu.2021.641378] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/23/2021] [Indexed: 12/15/2022] Open
Abstract
Background Inadequate tuberculosis (TB) diagnostics, especially for discrimination between active TB (ATB) and latent TB infection (LTBI), are major hurdle in the reduction of the disease burden. The present study aims to investigate the role of lymphocyte non-specific function detection for TB diagnosis in clinical practice. Methods A total of 208 participants including 49 ATB patients, 64 LTBI individuals, and 95 healthy controls were recruited at Tongji hospital from January 2019 to October 2020. All subjects were tested with lymphocyte non-specific function detection and T-SPOT assay. Results Significantly positive correlation existed between lymphocyte non-specific function and phytohemagglutinin (PHA) spot number. CD4+ T cell non-specific function showed the potential for differentiating patients with negative T-SPOT results from those with positive T-SPOT results with an area under the curve (AUC) of 0.732 (95% CI, 0.572-0.893). The non-specific function of CD4+ T cells, CD8+ T cells, and NK cells was found significantly lower in ATB patients than in LTBI individuals. The AUCs presented by CD4+ T cell non-specific function, CD8+ T cell non-specific function, and NK cell non-specific function for discriminating ATB patients from LTBI individuals were 0.845 (95% CI, 0.767-0.925), 0.770 (95% CI, 0.683-0.857), and 0.691 (95% CI, 0.593-0.789), respectively. Application of multivariable logistic regression resulted in the combination of CD4+ T cell non-specific function, NK cell non-specific function, and culture filtrate protein-10 (CFP-10) spot number as the optimally diagnostic model for differentiating ATB from LTBI. The AUC of the model in distinguishing between ATB and LTBI was 0.939 (95% CI, 0.898-0.981). The sensitivity and specificity were 83.67% (95% CI, 70.96%-91.49%) and 90.63% (95% CI, 81.02%-95.63%) with the threshold as 0.57. Our established model showed superior performance to TB-specific antigen (TBAg)/PHA ratio in stratifying TB infection status. Conclusions Lymphocyte non-specific function detection offers an attractive alternative to facilitate TB diagnosis. The three-index diagnostic model was proved to be a potent tool for the identification of different events involved in TB infection, which is helpful for the treatment and management of patients.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Zhou
- Department of Laboratory Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Weiyong Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiji Wu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Liu S, Wu M, A E, Wu S, Geng S, Li Z, Li M, Li L, Pang Y, Kang W, Tang S. Factors associated with differential T cell responses to antigens ESAT-6 and CFP-10 in pulmonary tuberculosis patients. Medicine (Baltimore) 2021; 100:e24615. [PMID: 33663071 PMCID: PMC7909155 DOI: 10.1097/md.0000000000024615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 01/07/2021] [Indexed: 01/05/2023] Open
Abstract
The T-SPOT.TB assay detects cellular immune responses to 2 core Mycobacterium tuberculosis antigens, early secreted antigenic target of 6-kDa protein (ESAT-6) and culture filtrate protein-10 (CFP-10). T-SPOT.TB has been recently used for auxiliary diagnosis of active pulmonary tuberculosis (PTB). However, testing can produce inconsistent results due to differential PTB patient immune responses to these antigens, prompting us to identify factors underlying inconsistent results.Data were retrospectively analyzed from 1225 confirmed PTB patients who underwent T-SPOT.TB testing at 5 specialized tuberculosis hospitals in China between December 2012 and November 2015. Numbers of spot-forming cells (SFCs) reflecting T cell responses to ESAT-6 and CFP-10 antigens were recorded then analyzed via multivariable logistic regression to reveal factors underlying discordant T cell responses to these antigens.The agreement rate of 84.98% (82.85%-86.94%) between PTB patient ESAT-6 and CFP-10 responses demonstrated high concordance. Additionally, positivity rates were higher for ESAT-6 than for CFP-10 (84.8% vs 80.7%, P < .001), with ESAT-6 and CFP-10 microwell SFC numbers for each single positive group not differing significantly (P > .99), while spot numbers of the single positive group were lower than numbers for the double positive group (P < .001). Elderly patients (aged ≥66 years) and patients receiving retreatment were most likely to have discordance results.ESAT-6 promoted significantly more positive T-SPOT.TB results than did CFP-10 in PTB patients. Advanced age and retreatment status were correlated with discordant ESAT-6 and CFP-10 results. Assessment of factors underlying discordance may lead to improved PTB diagnosis using T-SPOT.TB.
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Affiliation(s)
- Shengsheng Liu
- Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing
| | | | - Ertai A
- Chest Hospital of Xinjiang Uygur Autonomous Region, Urumqi
| | | | | | | | - Mingwu Li
- Kunming 3rd People's Hospital, Kunming, China
| | - Liang Li
- Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing
| | - Yu Pang
- Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing
| | - Wanli Kang
- Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing
| | - Shenjie Tang
- Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing
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Posterior mediastinal nodule diagnosed as a tuberculous granuloma infiltrating into the aorta. Gen Thorac Cardiovasc Surg 2020; 69:572-576. [PMID: 33006751 DOI: 10.1007/s11748-020-01499-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 09/21/2020] [Indexed: 10/23/2022]
Abstract
Although tuberculous infection rarely results in aortic aneurysm formation or rupture, its precursor lesion has never been identified in cases with tuberculosis. We incidentally encountered a case of a posterior mediastinal nodule with concomitant chest computed tomography (CT) findings of multiple pulmonary micronodular shadows. Since an enlargement of the mediastinal nodule was retrospectively apparent, we considered the lesion as malignant. Enhanced CT showed luminal irregularity in the descending aorta, located adjacent to the nodule, in addition to the disappearance of the fat plane between the lesion and the aorta. We successfully resected the nodule with the aorta under partial cardiopulmonary bypass. Based on the pathological and postoperative bacterial findings, the nodule was diagnosed as a tuberculous granuloma infiltrating into the medial layer of the aorta.
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Li S, Lin L, Zhang F, Zhao C, Meng H, Wang H. A retrospective study on Xpert MTB/RIF for detection of tuberculosis in a teaching hospital in China. BMC Infect Dis 2020; 20:362. [PMID: 32448123 PMCID: PMC7245878 DOI: 10.1186/s12879-020-05004-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 03/30/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The Xpert MTB/RIF assay is an automated molecular test that is designed to simultaneously detect Mycobacterium tuberculosis (MTB) complex and rifampin resistance. However, there are relatively few studies on this method in China. Xpert has been routinely used at Peking University People's Hospital (PKUPH) since November 2016. Thus, the aim of this study was to evaluate the performance of Xpert, and provide a reference and guidance for the detection and diagnosis of TB in non-TB specialized hospitals. METHODS The medical records of inpatients simultaneously tested with Xpert, acid-fast bacilli (AFB) smear microscopy, and interferon-gamma release assay (IGRA, by T-SPOT®.TB) at PKUPH from November 2016 to October 2018 were reviewed. Active TB cases were considered according to a composite reference standard (CRS). Then, the three methods were evaluated and compared. RESULTS In total, 787 patients simultaneously tested with Xpert, AFB, and IGRA were enrolled; among them 11.3% (89/787) were diagnosed and confirmed active pulmonary TB (PTB, 52 cases), extrapulmonary TB (EPTB, 17 cases), and tuberculous pleurisy (TP, 20 cases). The sensitivity of Xpert in detecting PTB, EPTB, and TP was 88.5, 76.5, and 15.0%, respectively, which was slightly lower than IGRA (96.2, 82.4, and 95.0%, respectively), but higher than AFB (36.5, 11.8, and 0%, respectively); IGRA showed the highest sensitivity, but its specificity (55.9, 67.1, and 45.2%, respectively) was significantly lower than Xpert (99.6, 99.4, and 100%, respectively) and AFB (99.0, 99.4, and 100%, respectively) (P < 0.001). The sensitivity of Xpert in detecting lung tissue, cerebrospinal fluid, lymph nodes, and joint fluid was 100%, followed by sputum (88.5%), alveolar lavage (85.7%), and bronchoscopy secretion (81.2%); the pleural fluid sensitivity was the lowest, only 15.0%. For AFB negative patients, the sensitivity of Xpert in detecting PTB, EPTB, and TP was 84.9, 73.3, and 15.0%, respectively. CONCLUSIONS Xpert showed both high sensitivity and high specificity, and suggested its high value in TB diagnosis; however, the application of pleural fluid is still limited, and should be improved. Owing to the high sensitivity of IGRA, it is recommended for use as a supplementary test, especially for assisting in the diagnosis of TP and EPTB.
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Affiliation(s)
- Shuguang Li
- Department of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China
| | - Liyan Lin
- Department of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China
| | - Feifei Zhang
- Department of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China
| | - Chunjiang Zhao
- Department of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China
| | - Han Meng
- Department of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China
| | - Hui Wang
- Department of Clinical Laboratory, Peking University People's Hospital, Xizhimen South Avenue No.11, Beijing, 100044, China.
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Combination of mean spot sizes of ESAT-6 spot-forming cells and modified tuberculosis-specific antigen/phytohemagglutinin ratio of T-SPOT.TB assay in distinguishing between active tuberculosis and latent tuberculosis infection. J Infect 2020; 81:81-89. [PMID: 32360883 DOI: 10.1016/j.jinf.2020.04.038] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 03/26/2020] [Accepted: 04/19/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Distinguishing between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. METHODS The modified T-SPOT.TB assay was performed in 499 participants (243 ATB and 256 LTBI) and another 322 participants (162 ATB and 160 LTBI) who were diagnosed in Qiaokou (training) and Caidian (validation) cohort respectively. RESULTS The mean spot sizes (MSS) of early secreted antigenic target 6 (ESAT-6) spot-forming cells (SFC) of T-SPOT.TB assay in ATB patients was significantly higher than that in LTBI individuals. 1.0 × 105 was the optimal number of cells added to phytohaemagglutinin (PHA) well for obtaining more accurate TB-specific antigen to phytohaemagglutinin (TBAg/PHA) ratio. The area under the curve of the diagnostic model by combination of ESAT-6 SFC MSS and modified TBAg/PHA ratio in distinguishing ATB from LTBI was 0.959 in training cohort, with a sensitivity of 90.12% and a specificity of 91.02% when a cutoff value of 0.46 was used. This diagnostic model showed similar performance in the validation cohort. The area under the curve, sensitivity, and specificity were 0.962, 93.21%, and 90.00%, respectively. Further flow cytometry analysis showed that ESAT-6 stimulation induced a significantly higher mean fluorescence intensity of IFN-γ+ cells in lymphocytes compared with culture filtrate protein 10 (CFP-10) stimulation. In contrast, CFP-10 stimulation induced a significantly higher percentage of IFN-γ+ cells in lymphocytes compared with ESAT-6 stimulation. CONCLUSIONS The combination of the MSS of ESAT-6 SFC and the modified TBAg/PHA ratio of T-SPOT.TB assay showed great value in discriminating ATB from LTBI.
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Wang MS, Liu XJ. Risk Factors for False-Negative Interferon-γ Release Assay Results in Culture-Confirmed Childhood TB. Am J Trop Med Hyg 2020; 101:1303-1307. [PMID: 31674295 DOI: 10.4269/ajtmh.18-0684] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
A negative interferon-γ release assay (IGRA) result might inappropriately lower the clinical suspicion for childhood tuberculosis (TB) and result in delayed treatment initiation. However, the risk factors associated with false-negative IGRA results in children remain unclear. Between May 2012 and January 2018, 156 culture-confirmed childhood TB patients who had received T-SPOT.TB test were included. Data, including demographic information and clinicopathological variables, were collected via questionnaires. Univariate and multivariate logistic regression analyses were performed to estimate the odds ratio (OR) and corresponding 95% CI of risk factors associated with false-negative T-SPOT.TB results. The positive rate of T-SPOT.TB test was 85.9% in childhood TB patients. Multivariate analysis revealed that younger age (≤ 9 years; OR = 4.782; 95% CI: 1.689, 13.539), weight for age (z-score > 0.37; OR = 4.256; 95% CI: 1.458, 12.428), and hypoproteinemia (total protein ≤ 68.4 g/L; OR = 7.131; 95% CI: 1.864, 27.271) were risk factors for false-negative T-SPOT.TB results in childhood TB. Younger age, overweight, and hypoproteinemia were found to be associated with false-negative T-SPOT.TB results in childhood TB. Health care professionals should consider these risk factors when evaluating suspected childhood TB with negative T-SPOT.TB results.
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Affiliation(s)
- Mao-Shui Wang
- Department of Lab Medicine, Shandong Provincial Chest Hospital, Jinan, China.,Department of Pediatrics, Qilu Hospital, Shandong University, Jinan, China
| | - Xin-Jie Liu
- Department of Pediatrics, Qilu Hospital, Shandong University, Jinan, China
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Liu P, Ren S, Xie Y, Liu C, Qin W, Zhou Y, Zhang M, Yang Q, Chen XC, Liu T, Yao Q, Xiao Z, Gu J, Zhang XL. Quantitative analysis of serum-based IgG agalactosylation for tuberculosis auxiliary diagnosis. Glycobiology 2020; 30:746-759. [PMID: 32149341 DOI: 10.1093/glycob/cwaa021] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 02/22/2020] [Accepted: 02/28/2020] [Indexed: 02/06/2023] Open
Abstract
Tuberculosis (TB) is the leading infectious cause of mortality worldwide, especially in developing countries. However, effective means for TB diagnosis, especially for bacillus-negative (Bn) TB laboratory diagnosis, are urgently needed. In the present study, serum IgG from each tuberculosis patients and healthy controls was purified using affinity chromatography. The samples were then analyzed using mass spectrometry (MS) and ultraperformance liquid chromatography (UPLC) methods. We quantitatively assessed the changes of serum IgG galactosylation in 567 human serum samples including 377 pulmonary TB patients and 190 healthy donors (HDs). We found significantly more agalactosylated (G0) vs monogalactosylated (G1) and digalactosylated (G2) N-glycans of IgG in TB patients, including smear-negative TB patients, than in HDs. The detection rate of TB diagnostic performance by MS for IgG-Gal ratio G0/(G1 + G2 × 2) is 90.48% for bacillus-positive (Bp) and 73.16% for Bn TB patients. Further, combination of MS method with other routine laboratory TB diagnostic methods significantly increased the detection rate to 91.01%-98.39%. Similar results were observed in Mycobacterium tuberculosis (M. tb) infection mouse models. The decrease in galactosylation of IgG in TB patients was also qualitatively confirmed using specific lectin blot assay. Using the above techniques, we can discriminate the content of IgG G0 with terminal N-acetylglucosamine and IgG-Gal ratio G0/(G1 + G2 × 2) between TB patients and HDs. Our data suggest that quantitative analysis of serum-based IgG-Gal ratio G0/(G1 + G2 × 2) could be used for TB auxiliary diagnosis with high effectiveness and feasibility and its combination with other routine laboratory TB diagnostic methods could remarkably improve the detection rate.
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Affiliation(s)
- Peng Liu
- Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences; Department of Allergy of Zhongnan Hospital, Wuhan University, Wuhan 430071, China; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan 430071, China
| | - Shifang Ren
- Department of Biochemistry and Molecular Biology, Key Laboratory of Glycoconjugate Research Ministry of Public Health, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Yan Xie
- Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences; Department of Allergy of Zhongnan Hospital, Wuhan University, Wuhan 430071, China; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan 430071, China
| | - Chuangang Liu
- Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences; Department of Allergy of Zhongnan Hospital, Wuhan University, Wuhan 430071, China; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan 430071, China
| | - Wenjun Qin
- Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences; Department of Allergy of Zhongnan Hospital, Wuhan University, Wuhan 430071, China; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan 430071, China
| | - Yuanyuan Zhou
- Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences; Department of Allergy of Zhongnan Hospital, Wuhan University, Wuhan 430071, China; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan 430071, China
| | - Mingxia Zhang
- Guangdong Key Laboratory for Emerging Infection & Immunity, Third People's Hospital of Shenzhen City, Shenzhen University and Shenzhen Clinical Centre for Infectious Diseases, Shenzhen, China
| | - Qianting Yang
- Guangdong Key Laboratory for Emerging Infection & Immunity, Third People's Hospital of Shenzhen City, Shenzhen University and Shenzhen Clinical Centre for Infectious Diseases, Shenzhen, China
| | - Xin-Chun Chen
- Guangdong Key Laboratory for Emerging Infection & Immunity, Third People's Hospital of Shenzhen City, Shenzhen University and Shenzhen Clinical Centre for Infectious Diseases, Shenzhen, China
| | - Ting Liu
- Wuhan Jinyintan Hospital, Wuhan 430072, China
| | - Qili Yao
- Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences; Department of Allergy of Zhongnan Hospital, Wuhan University, Wuhan 430071, China; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan 430071, China
| | - Zhen Xiao
- Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences; Department of Allergy of Zhongnan Hospital, Wuhan University, Wuhan 430071, China; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan 430071, China
| | - Jianxin Gu
- Department of Biochemistry and Molecular Biology, Key Laboratory of Glycoconjugate Research Ministry of Public Health, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Xiao-Lian Zhang
- Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences; Department of Allergy of Zhongnan Hospital, Wuhan University, Wuhan 430071, China; Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Wuhan University, Wuhan 430071, China
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Yamasue M, Komiya K, Usagawa Y, Umeki K, Nureki SI, Ando M, Hiramatsu K, Nagai H, Kadota JI. Factors associated with false negative interferon-γ release assay results in patients with tuberculosis: A systematic review with meta-analysis. Sci Rep 2020; 10:1607. [PMID: 32005930 PMCID: PMC6994686 DOI: 10.1038/s41598-020-58459-9] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 01/09/2020] [Indexed: 12/01/2022] Open
Abstract
Which factors are related to false negative results of the interferon-γ release assay (IGRA) is unclear. This systematic review described the risk factors associated with false negative IGRA results. Two authors independently identified studies designed to evaluate risk factors for false negative IGRA results from PubMed, the Cochrane Register of Control Trial database, and EMBASE, accessed on October 22, 2018. Meta-analyses were conducted with random-effect models, and heterogeneity was calculated with the I2 method. Of 1,377 titles and abstracts screened, 47 full texts were selected for review, and we finally included 17 studies in this systematic review. The most commonly studied risk factor (14 studies) was advanced age, followed by low peripheral lymphocyte counts (7 studies), and these factors were associated with false negative results even with different tuberculosis incidences (pooled odds ratio 2.06; 95% CI, 1.68–2.52 in advanced age and 2.68; 95% CI, 2.00–3.61 in low peripheral lymphocyte counts). Advanced age and low peripheral lymphocyte counts may be common risk factors for false negative IGRA results, suggesting that people with these factors need to be carefully followed, even if they have negative IGRA results.
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Affiliation(s)
- Mari Yamasue
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Kosaku Komiya
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan.
| | - Yuko Usagawa
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Kenji Umeki
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Shin-Ichi Nureki
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Masaru Ando
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Kazufumi Hiramatsu
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
| | - Hideaki Nagai
- Center for Pulmonary Diseases, National Hospital Organization Tokyo National Hospital, 3-1-1 Takeoka, Kiyose, Tokyo, 204-8585, Japan
| | - Jun-Ichi Kadota
- Department of Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan
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Feng M, Sun F, Wang F, Cao G. The diagnostic effect of sequential detection of ADA screening and T-SPOT assay in pleural effusion patients. ARTIFICIAL CELLS NANOMEDICINE AND BIOTECHNOLOGY 2019; 47:3272-3277. [PMID: 31379209 DOI: 10.1080/21691401.2019.1647221] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Purpose: To evaluate the diagnostic effect of sequential detection of Adenosine deaminase (ADA) screening and T-SPOT assay on tuberculosis (TB) pleurisy in pleural effusion patients. Materials and methods: 248 pleural effusion patients (172 TB and 76 non-TB) were retrospectively analyzed in the study. The concentrations of ADA and lactate dehydrogenase (LDH) were measured in pleural fluids and serum samples of the patients. T-SPOTT assays were performed in pleural fluids. The relationship between ADA, T-SPOT and the occurrence of TB pleurisy was evaluated using logistic regression analysis. Results: The level of pleural ADA and positive rate of T-SPOT were all higher in TB pleurisy group than non-TB pleurisy group (p < .001). The positive rate of T-SPOT detection reached 98.83% in the TB pleurisy group while only 40.7% in non-TB pleurisy group (p < .001). Additionally, 8 patients (4.65%) in the TB pleurisy group showed the level of pleurisy ADA exceeded 40 IU/L while only one patient (1.31%) in the non-TB pleurisy group. Conclusion: The sequential detection of ADA screening and T-SPOT assay was found to be an accurate and rapid method for identifying TB pleurisy from pleural effusion, which would promote effective treatment.
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Affiliation(s)
- Mingxia Feng
- a Department of Respiration, Daping Hospital, Army Military Medical University , Chongqing , China
| | - Fenfen Sun
- a Department of Respiration, Daping Hospital, Army Military Medical University , Chongqing , China
| | - Fang Wang
- a Department of Respiration, Daping Hospital, Army Military Medical University , Chongqing , China
| | - Guoqiang Cao
- a Department of Respiration, Daping Hospital, Army Military Medical University , Chongqing , China
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Ma Y, Li R, Shen J, He L, Li Y, Zhang N, Wu Q, Zhang J, Zheng J, Wang X. Clinical effect of T-SPOT.TB test for the diagnosis of tuberculosis. BMC Infect Dis 2019; 19:993. [PMID: 31752713 PMCID: PMC6873440 DOI: 10.1186/s12879-019-4597-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 10/25/2019] [Indexed: 11/12/2022] Open
Abstract
Background The goal of this study was to further investigate the clinical effectiveness of the T-SPOT.TB test in diagnosing tuberculosis (TB), including the effects of T-SPOT.TB test on evaluating diverse TB types and locations. Methods We collected 20,332 specimens from patients suspected to have TB. Afterwards, we performed an integrative analysis of T-SPOT.TB results and clinical diagnoses, and evaluated the composition ratio and positive detection rate of the T-SPOT.TB test in various age groups, sample types, and hospital departments. In addition, we compared the spot number and composition rate between latent TB infection (LTBI), active TB infection, and old TB infection groups. The active TB group was then further divided into pulmonary TB (PTB), pulmonary and extrapulmonary TB (PETB), and extrapulmonary TB (EPTB) subgroups, and we evaluated whether there were statistical differences in spot number and composition rate between subgroups. Results Positive results from the T-SPOT.TB test were found across different age groups, specimen types, and hospital departments. Elderly patient groups, pleural effusion samples, and thoracic surgery departments showed the highest rates of positivity. There were no statistically significant differences in spot number of CFP-10 and ESAT-6 wells between disease groups or active TB subgroups. The composition rate, however, was significantly different when ESAT-6 and CFP-10 wells were double-positive. The spot number and composition rate were statistically different between the three disease groups, but showed no significant differences between the three subgroups of active TB. Conclusions The results of T-SPOT. TB test showed differences in LTBI, active TB and old TB. Additionally, a higher spot number level was observed in the active TB group.
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Affiliation(s)
- Yanfen Ma
- Department of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China
| | - Ruicheng Li
- Department of Clinical Laboratory, The Second Affiliated Hospital of Air Force Medical University, Xi'an, 710038, Shaanxi Province, China
| | - Jinghui Shen
- Department of Clinical Laboratory, Xi'an Central Hospital, Xi'an, 710003, Shaanxi Province, China
| | - Longmei He
- Department of Clinical Laboratory, Shaanxi Provincial Hospital of Traditional Chinese Medicine, Xi'an, 710061, Shaanxi Province, China
| | - Ying Li
- Department of Clinical Laboratory, Shaanxi KangFu Hospital, Xi'an, 710061, Shaanxi Province, China
| | - Ning Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China
| | - Qian Wu
- Department of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China
| | - Jinling Zhang
- Department of Clinical Laboratory, Xi'an Encephalopathy Hospital, Xi'an, 710061, Shaanxi Province, China
| | - Jie Zheng
- Clinical Research Center, The The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China.
| | - Xiaoqin Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China.
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Li K, Yang C, Jiang Z, Liu S, Liu J, Fan C, Li T, Dong X. Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis. BMC Infect Dis 2019; 19:673. [PMID: 31357953 PMCID: PMC6664742 DOI: 10.1186/s12879-019-4310-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 07/23/2019] [Indexed: 02/03/2023] Open
Abstract
Background Previous qualitative studies suggested that the false negative rate of the T cell spot test for tuberculosis infection (T-SPOT.TB) is associated with many risk factors in tuberculosis patients. However, more precise quantitative studies are lacking. The purpose of this study was to investigate the factors affecting quantified spot-forming cells (SFCs) to early secreted antigenic target 6 kDa (ESAT-6) or culture filtrate protein 10 kDa (CFP-10) in patients with active tuberculosis. Methods We retrospectively analyzed the data of 360 patients who met the inclusion criteria. Using the SFCs to ESAT-6 or CFP-10 levels as dependent variables, variables with statistical significance in the univariate analysis were subjected to optimal scaling regression analysis. The combination of ESAT-6 and CFP-10 (i.e., T-SPOT.TB) was analyzed by the exact logistic regression model. Results The results showed that the SFCs to ESAT-6 regression model had statistical significance (P < 0.001) and that previous treatment and CD4+ and platelet counts were its independent risk factors (all P < 0.05). Their importance levels were 0.095, 0.596 and 0.100, respectively, with a total of 0.791. The SFCs to CFP-10 regression model also had statistical significance (P < 0.001); platelet distribution width and alpha-2 globulin were its independent risk factors (all P < 0.05). Their importance levels were 0.287 and 0.247, respectively, with a total of 0.534. The quantification graph showed that quantified SFCs to ESAT-6 or CFP-10 grading had a linear correlation with risk factors. Albumin-globulin ratio, CD4+ and CD8+ were independent risk factors for false negative T-SPOT.TB (all P < 0.05). Conclusions In T-SPOT.TB-assisted diagnosis of patients with active tuberculosis, previous treatment, decreased CD4+ and platelet count might lead to the decreased SFCs to ESAT-6, decreased alpha-2 globulin and high platelet distribution width might lead to the decreased SFCs to CFP-10, decreased albumin-globulin ratio, CD4+ and CD8+ might lead to an increase in the false negative rate of the T-SPOT.TB. Electronic supplementary material The online version of this article (10.1186/s12879-019-4310-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kui Li
- Department of Infectious Diseases, Ankang Central Hospital, 85 South Jinzhou Road, Ankang, 725000, Shaanxi Province, China.,Department of Infectious Diseases, Ankang Central Hospital, Hubei University of Medicine, 30 South Renmin Road, Shiyan, 442000, Hubei Province, China
| | - Caiyong Yang
- Department of Infectious Diseases, Ankang Central Hospital, 85 South Jinzhou Road, Ankang, 725000, Shaanxi Province, China. .,Department of Infectious Diseases, Ankang Central Hospital, Hubei University of Medicine, 30 South Renmin Road, Shiyan, 442000, Hubei Province, China.
| | - Zicheng Jiang
- Department of Infectious Diseases, Ankang Central Hospital, 85 South Jinzhou Road, Ankang, 725000, Shaanxi Province, China.,Department of Infectious Diseases, Ankang Central Hospital, Hubei University of Medicine, 30 South Renmin Road, Shiyan, 442000, Hubei Province, China
| | - Shengxi Liu
- Department of Infectious Diseases, Ankang Central Hospital, 85 South Jinzhou Road, Ankang, 725000, Shaanxi Province, China.,Department of Infectious Diseases, Ankang Central Hospital, Hubei University of Medicine, 30 South Renmin Road, Shiyan, 442000, Hubei Province, China
| | - Jun Liu
- Laboratory of Molecular Pathology and Tuberculosis Diseases, Ankang Central Hospital, 85 South Jinzhou Road, Ankang, 725000, Shaanxi Province, China
| | - Chuanqi Fan
- Department of Infectious Diseases, Ankang Central Hospital, 85 South Jinzhou Road, Ankang, 725000, Shaanxi Province, China
| | - Tao Li
- Department of Infectious Diseases, Ankang Central Hospital, 85 South Jinzhou Road, Ankang, 725000, Shaanxi Province, China
| | - Xuemin Dong
- Laboratory of Molecular Pathology and Tuberculosis Diseases, Ankang Central Hospital, 85 South Jinzhou Road, Ankang, 725000, Shaanxi Province, China
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Kang WL, Wang GR, Wu MY, Yang KY, Er-Tai A, Wu SC, Geng SJ, Li ZH, Li MW, Li L, Tang SJ. Interferon-Gamma Release Assay is Not Appropriate for the Diagnosis of Active Tuberculosis in High-Burden Tuberculosis Settings: A Retrospective Multicenter Investigation. Chin Med J (Engl) 2019; 131:268-275. [PMID: 29363640 PMCID: PMC5798046 DOI: 10.4103/0366-6999.223860] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background: Interferon-gamma release assay (IGRA) has been used in latent tuberculosis (TB) infection and TB diagnosis, but the results from different high TB-endemic countries are different. The aim of this study was to investigate the value of IGRA in the diagnosis of active pulmonary TB (PTB) in China. Methods: We conducted a large-scale retrospective multicenter investigation to further evaluate the role of IGRA in the diagnosis of active PTB in high TB-epidemic populations and the factors affecting the performance of the assay. All patients who underwent valid T-SPOT.TB assays from December 2012 to November 2015 in six large-scale specialized TB hospitals in China and met the study criteria were retrospectively evaluated. Patients were divided into three groups: Group 1, sputum culture-positive PTB patients, confirmed by positive Mycobacterium tuberculosis sputum culture; Group 2, sputum culture-negative PTB patients; and Group 3, non-TB respiratory diseases. The medical records of all patients were collected. Chi-square tests and Fisher's exact test were used to compare categorical data. Multivariable logistic analyses were performed to evaluate the relationship between the results of T-SPOT in TB patients and other factors. Results: A total of 3082 patients for whom complete information was available were included in the investigation, including 905 sputum culture-positive PTB cases, 914 sputum culture-negative PTB cases, and 1263 non-TB respiratory disease cases. The positive rate of T-SPOT.TB was 93.3% in the culture-positive PTB group and 86.1% in the culture-negative PTB group. In the non-PTB group, the positive rate of T-SPOT.TB was 43.6%. The positive rate of T-SPOT.TB in the culture-positive PTB group was significantly higher than that in the culture-negative PTB group (χ2 = 25.118, P < 0.01), which in turn was significantly higher than that in the non-TB group (χ2 = 566.116, P < 0.01). The overall results were as follows: sensitivity, 89.7%; specificity, 56.37%; positive predictive value, 74.75%; negative predictive value, 79.11%; and accuracy, 76.02%. Conclusions: High false-positive rates of T-SPOT.TB assays in the non-TB group limit the usefulness as a single test to diagnose active TB in China. We highly recommend that IGRAs not be used for the diagnosis of active TB in high-burden TB settings.
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Affiliation(s)
- Wan-Li Kang
- Epidemiology Research Department, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - Gui-Rong Wang
- Tuberculosis Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - Mei-Ying Wu
- Department of Tuberculosis, Souzhou 5th-+- People's Hospital, Souzhou, Jiangsu 215007, China
| | - Kun-Yun Yang
- Department of Tuberculosis, Hunan Chest Hospital, Changsha, Hunan 410013, China
| | - A Er-Tai
- Department of Tuberculosis, Chest Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang 830049, China
| | - Shu-Cai Wu
- Department of Tuberculosis, Hebei Chest Hospital, Shijiazhuang, Hebei 050041, China
| | - Shu-Jun Geng
- Department of Tuberculosis, Hebei Chest Hospital, Shijiazhuang, Hebei 050041, China
| | - Zhi-Hui Li
- Department of Tuberculosis, Hebei Chest Hospital, Shijiazhuang, Hebei 050041, China
| | - Ming-Wu Li
- Department of Tuberculosis, Kunming 3rd People's Hospital, Kunming, Yunnan 650041, China
| | - Liang Li
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - Shen-Jie Tang
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
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Du F, Xie L, Zhang Y, Gao F, Zhang H, Chen W, Sun B, Sha W, Fang Y, Jia H, Xing A, Du B, Zheng L, Gao M, Zhang Z. Prospective Comparison of QFT-GIT and T-SPOT.TB Assays for Diagnosis of Active Tuberculosis. Sci Rep 2018; 8:5882. [PMID: 29651163 PMCID: PMC5897568 DOI: 10.1038/s41598-018-24285-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 03/29/2018] [Indexed: 12/24/2022] Open
Abstract
T-SPOT.TB and QuantiFERON-TB Gold In-Tube (QFT-GIT) tests, as two commercial blood assays for diagnosing active tuberculosis (ATB), are not yet fully validated. Especially, there are no reports on comparing the efficacy between the two tests in the same population in China. A multicenter, prospective comparison study was undertaken at four hospitals specializing in pulmonary diseases. A total of 746 suspected pulmonary TB were enrolled and categorized, including 185 confirmed TB, 298 probable TB and 263 non-TB. Of 32 patients with indeterminate test results (ITRs), age and underlying disease were associated with the rate of ITRs. Furthermore, the rate of ITRs determined by T-SPOT.TB was lower than QFT-GIT (0.4% vs. 4.3%, P < 0.01). When excluding ITRs, the sensitivities of T-SPOT.TB and QFT-GIT were 85.2% and 84.8%, and specificities of 63.4% and 60.5%, respectively in the diagnosis of ATB. The two assays have an overall agreement of 92.3%, but exhibited a poor linear correlation (r2 = 0.086) between the levels of interferon-γ release detected by the different assays. Although having some heterogeneity in detecting interferon-γ release, both the QFT-GIT and T-SPOT.TB demonstrated high concordance in diagnosing ATB. However, neither of them showed suitability in the definitive diagnosis of the disease.
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Affiliation(s)
- Fengjiao Du
- Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Li Xie
- Tuberculosis Department, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Yonghong Zhang
- Department of Cardiology, General Hospital of Chinese People's Armed Police Forces, Beijing, 100039, China
| | - Fei Gao
- Tuberculosis Department, Inner Mongolia Fourth Hospital, Hohhot, 010020, China
| | - Huibin Zhang
- Tuberculosis Department, Inner Mongolia Fourth Hospital, Hohhot, 010020, China
| | - Wei Chen
- Tuberculosis Laboratory, Shenyang Chest Hospital, Shenyang, 110044, China
| | - Bingqi Sun
- Tuberculosis Laboratory, Shenyang Chest Hospital, Shenyang, 110044, China
| | - Wei Sha
- Tuberculosis Department, Pulmonary Hospital, Tongji University, Shanghai, 200030, China
| | - Yong Fang
- Tuberculosis Department, Pulmonary Hospital, Tongji University, Shanghai, 200030, China
| | - Hongyan Jia
- Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Aiying Xing
- Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Boping Du
- Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Li Zheng
- Department of Cardiology, General Hospital of Chinese People's Armed Police Forces, Beijing, 100039, China.
| | - Mengqiu Gao
- Tuberculosis Department, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China.
| | - Zongde Zhang
- Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China.
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Yang C, Zhang S, Yao L, Fan L. Evaluation of risk factors for false-negative results with an antigen-specific peripheral blood-based quantitative T cell assay (T-SPOT ®. TB) in the diagnosis of active tuberculosis: A large-scale retrospective study in China. J Int Med Res 2018. [PMID: 29529901 PMCID: PMC5991236 DOI: 10.1177/0300060518757381] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Objective To investigate the diagnostic efficacy of an interferon-γ release assay, T-SPOT®. TB, for diagnosing active tuberculosis (TB) and to identify risk factors for false-negative results. Methods This retrospective study enrolled consecutive patients with active TB and with non-TB respiratory diseases to evaluate the risk factors for false-negative results when using the T-SPOT®. TB assay for the diagnosis of active TB. Patients with active TB were categorized as having confirmed pulmonary TB, clinically diagnosed pulmonary TB or extrapulmonary TB (EPTB). Results This study analysed 4964 consecutive patients; 2425 with active TB and 2539 with non-TB respiratory diseases. Multivariate logistic regression analyses identified the following five factors that were all associated with an increased false-negative rate with the T-SPOT®. TB assay: increased age (odds ratio [OR] 1.018; 95% confidence interval [CI] 1.013, 1.024); decreased CD8+ count (OR 0.307; 95% CI 0.117, 0.803); negative sputum acid-fast bacilli (AFB) smear staining (OR 1.821; 95% CI 1.338, 2.477); negative mycobacterial cultures (OR 1.379; 95% CI 1.043, 1.824); and absence of EPTB (OR 1.291; 95% CI 1.026, 1.623). Conclusions Increased age, decreased CD8+ count, negative sputum AFB smear results, negative sputum mycobacterial cultures and absence of EPTB might lead to an increased false-negative rate when using the T-SPOT®. TB assay.
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Affiliation(s)
- Chi Yang
- Clinic and Research Centre of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shaojun Zhang
- Clinic and Research Centre of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lan Yao
- Clinic and Research Centre of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lin Fan
- Clinic and Research Centre of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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Zhou Y, Du J, Hou HY, Lu YF, Yu J, Mao LY, Wang F, Sun ZY. Application of ImmunoScore Model for the Differentiation between Active Tuberculosis and Latent Tuberculosis Infection as Well as Monitoring Anti-tuberculosis Therapy. Front Cell Infect Microbiol 2017; 7:457. [PMID: 29164066 PMCID: PMC5670161 DOI: 10.3389/fcimb.2017.00457] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 10/12/2017] [Indexed: 01/17/2023] Open
Abstract
Tuberculosis (TB) is a leading global public health problem. To achieve the end TB strategy, non-invasive markers for diagnosis and treatment monitoring of TB disease are urgently needed, especially in high-endemic countries such as China. Interferon-gamma release assays (IGRAs) and tuberculin skin test (TST), frequently used immunological methods for TB detection, are intrinsically unable to discriminate active tuberculosis (ATB) from latent tuberculosis infection (LTBI). Thus, the specificity of these methods in the diagnosis of ATB is dependent upon the local prevalence of LTBI. The pathogen-detecting methods such as acid-fast staining and culture, all have limitations in clinical application. ImmunoScore (IS) is a new promising prognostic tool which was commonly used in tumor. However, the importance of host immunity has also been demonstrated in TB pathogenesis, which implies the possibility of using IS model for ATB diagnosis and therapy monitoring. In the present study, we focused on the performance of IS model in the differentiation between ATB and LTBI and in treatment monitoring of TB disease. We have totally screened five immunological markers (four non-specific markers and one TB-specific marker) and successfully established IS model by using Lasso logistic regression analysis. As expected, the IS model can effectively distinguish ATB from LTBI (with a sensitivity of 95.7% and a specificity of 92.1%) and also has potential value in the treatment monitoring of TB disease.
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Affiliation(s)
- Yu Zhou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juan Du
- Wuhan Pulmonary Hospital, Wuhan Institute for Tuberculosis Control, Wuhan, China
| | - Hong-Yan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Fang Lu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Yu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li-Yan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zi-Yong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Use of interferon-gamma release assay and tuberculin skin test in diagnosing tuberculosis in Lithuanian adults: A comparative analysis. MEDICINA-LITHUANIA 2017; 53:159-165. [PMID: 28712669 DOI: 10.1016/j.medici.2017.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 02/08/2017] [Accepted: 05/18/2017] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND OBJECTIVE Lithuania belongs to the group of countries with a high-incidence of tuberculosis (TB). Some scientific studies show that the interferon-gamma release assay is more accurate and correlates more highly with TB exposure as compared to the tuberculin skin test (TST). This study aimed at comparing the efficacy between the T SPOT TB and TST for diagnosing TB among Lithuanian adults. MATERIALS AND METHODS Individuals with diagnosed TB, healthcare workers with known risk for TB and individuals without any known risk for TB underwent clinical examinations, interviews about their history of TB exposure and chest radiography. Then the TST and the T SPOT TB were performed on patients. RESULTS A positive T SPOT TB was more common in the group with diagnosed TB compared to healthcare workers and the low risk for TB groups (97.5%, 36.4%, and 0%, respectively, P<0.01). Positive TST results did not differ between the groups with diagnosed TB and the healthcare workers (92.5% vs. 95.5%, P>0.05). Agreement between TST and T SPOT TB was poor (kappa 0.14, P>0.05). T SPOT TB had higher specificity and sensitivity compared to TST (area under the ROC 0.9±0.04, P<0.01, vs. 0.5±0.06, P>0.05). CONCLUSIONS The T SPOT TB showed greater accuracy in diagnosing TB than TST did. Positive T SPOT TB result but not the TST was more common in patients with diagnosed TB.
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Li J, Liu Y, Ma L, Gu L, Wang Q, Xu M, Ma R, Zhang Y, Yang Z, Deng J, Yi X. The performance of T-cell Xtend reagent in increasing blood storage times for interferon gamma release assays. J Clin Lab Anal 2017; 32. [PMID: 28670691 DOI: 10.1002/jcla.22253] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Accepted: 04/10/2017] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND T-cell Xtend (TCX) was introduced to extend the blood storage time for T-SPOT.TB test, a widely used commercial interferon gamma release assay (IGRA) for rapid in vitro tuberculosis. METHODS A total of 99 Uyghur suspected tuberculosis patients were recruited in this study. T-SPOT.TB test was performed with fresh blood (controls), 36 hours delayed blood and delayed and TCX-treated (at 36 hours) blood from each patient, respectively. RESULTS White blood cells and lymphocytes proportion in peripheral blood mononuclear cells s and spot-forming cells in positive control wells decreased significantly in delayed blood samples when compared with controls, while this decrease was not detected in TCX-treated group. In the 58 patients with paired T-SPOT.TB results of three groups of samples, a higher positive rate was observed in TCX-treated group than both in controls and untreated group (41.4% vs 37.9% and 25.9%). The concordance of T-SPOT.TB results between the treated group and controls was 0.856, whereas the agreement between controls and untreated group was unsatisfactory (0.649). In the 23 elderly patients (>70 years old) with paired T-SPOT.TB results of controls and TCX group, treated group showed a non-significant trend toward higher positive rate than controls (43.5% vs 26.1%, P=.22). Meanwhile, TCX treatment reduced the risk of false negative T-SPOT.TB results in the elderly population. CONCLUSION Deterioration of blood sample caused by long storage time can be neutralized by TCX treatment. The results provide data for the utility of TCX in a novel population and in Asian region, and reveal the potential of TCX to improve the accuracy of T-SPOT.TB test in elderly population.
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Affiliation(s)
- Junlian Li
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Yan Liu
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Liyamu Ma
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Libike Gu
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Quan Wang
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Miao Xu
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Ruiying Ma
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Yali Zhang
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Zhenping Yang
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Junjie Deng
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
| | - Xing Yi
- Department of Clinical Laboratory, Chest Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, China
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Di L, Li Y. The risk factor of false-negative and false-positive for T-SPOT.TB in active tuberculosis. J Clin Lab Anal 2017; 32. [PMID: 28594104 DOI: 10.1002/jcla.22273] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 05/04/2017] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVES T-SPOT.TB is a promising diagnosis tool to identify both pulmonary tuberculosis and extrapulmonary tuberculosis, as well as latent tuberculosis; however, the factors that affect the results of T-SPOT.TB remains unclear. In this study, we aim to figure out the risk factor of T-SPOT.TB for active TB. METHODS A total of 349 patients were recruited between January 1st, 2016 and January 22st, 2017 at Renmin Hospital of Wuhan University, including 98 subjects with TB and 251 subjects with non-TB disease, and received T-SPOT.TB (Oxford Immunotec Ltd). Statistics were analyzed by SPSS 19.0 using logistic regression. RESULTS The overall specificity and sensitivity of the T-SPOT.TB was 92.83% (233/251; 95%CI 0.8872-0.9557) and 83.67% (82/98; 95%CI 0.7454-0.9010), respectively. Patients with tuberculous meningitis were more likely to have false-negative results (OR 17.4, 95%CI 3.068-98.671; P<.001) while patients with cured TB tended to induce false-positive results (OR 30.297; 95%CI 7.069-129.849; P<.001). The results were not affected by sex, age, onset time, smoke, alcohol, treatment, allergic history, co-morbidity, TB (exclude tuberculous meningitis) (P>.05). CONCLUSION Tuberculous meningitis was a risk factor of false-negative for T-SPOT.TB, while cured TB was a risk factor of false-positive.
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Affiliation(s)
- Li Di
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yan Li
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
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Bosco MJ, Hou H, Mao L, Wu X, Ramroop KD, Lu Y, Mao L, Zhou Y, Sun Z, Wang F. The performance of the TBAg/PHA ratio in the diagnosis of active TB disease in immunocompromised patients. Int J Infect Dis 2017; 59:55-60. [PMID: 28392318 DOI: 10.1016/j.ijid.2017.03.025] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 03/16/2017] [Accepted: 03/31/2017] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVES The results of the T-SPOT.TB (T-SPOT) assay are reduced in immunocompromised patients with active tuberculosis (ATB), and it is difficult using T-SPOT results to distinguish ATB from latent tuberculosis infection (LTBI) in this condition. The aim of this study was to determine the performance of the TBAg/PHA ratio in T-SPOT assay in the diagnosis of ATB in immunocompromised patients. METHODS One hundred and forty three immunocompromised ATB patients and 124 LTBI individuals were diagnosed according to conventional tests and T-SPOT assay. RESULTS The results of T-SPOT assay are of no value in the diagnosis of ATB in immunocompromised patients. However, the number of phytohaemagglutinin (PHA) spot-forming cells (sfc) in T-SPOT assay was substantially decreased in immunocompromised ATB patients compared with that in LTBI individuals. Receiver operating characteristic (ROC) analysis revealed that a further calculation of the TBAg/PHA ratio (the larger of the ESAT-6/PHA and CFP-10/PHA) showed a better performance in distinguishing these two diseases. Using the threshold value of 0.316, the sensitivity and specificity for distinguishing immunocompromised ATB patients from LTBI individuals were respectively 79.21 and 94.05%. CONCLUSIONS Our findings suggest that the TBAg/PHA ratio might have some significance for the diagnosis of TB disease in immunocompromised patients.
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Affiliation(s)
- Munyemana Jean Bosco
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lie Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaohui Wu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kreeti Devi Ramroop
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanfang Lu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Zhou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Bae W, Park KU, Song EY, Kim SJ, Lee YJ, Park JS, Cho YJ, Yoon HI, Yim JJ, Lee CT, Lee JH. Comparison of the Sensitivity of QuantiFERON-TB Gold In-Tube and T-SPOT.TB According to Patient Age. PLoS One 2016; 11:e0156917. [PMID: 27258377 PMCID: PMC4892501 DOI: 10.1371/journal.pone.0156917] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 05/20/2016] [Indexed: 12/22/2022] Open
Abstract
Currently, there are two types of interferon-gamma release assays (IGRAs) in use for the detection of tuberculosis (TB) infection, the QuantiFERON-TB Gold In-Tube test (GFT-GIT) and T-SPOT.TB. Owing to contradictory reports regarding whether the results of these IGRAs are affected by the age of the patient, we aimed to determine if these two tests have age-related differences in sensitivity. We retrospectively reviewed the medical records of diagnosed TB patients who were tested using either QFT-GIT or T-SPOT.TB from February 2008 to December 2013. The positivity of the two tests was analyzed and compared with true TB infection, which was defined as active TB based on either a positive Mycobacterium culture or a positive TB polymerase chain reaction. The QFT-GIT group included 192 TB patients, and the T-SPOT.TB group included 212 TB patients. Of the patients with pulmonary TB, 76 (39.6%) were in the QFT-GIT group and 143 (67.5%) in the T-SPOT.TB group. The overall sensitivity was 80.2% for QFT-GIT and 91.0% for T.SPOT.TB. The sensitivities of QFT-GIT and T-SPOT.TB according to age group were as follows: <29 years, 93.3% and 96.7%; 30-49 years, 86.5% and 94.7%; 50-69 years, 76.8% and 87.5%; and >70 years, 68.3% and 85.7%, respectively. The trend of age-related changes in sensitivity was significant for both QFT-GIT (p = 0.004) and T.SPOT.TB (p = 0.039). However, only QFT-GIT was significantly related to age in the multivariate analysis. QFT-GIT, but not T-SPOT.TB, was significantly affected by patient age.
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Affiliation(s)
- Won Bae
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Kyoung Un Park
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Eun Young Song
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Se Joong Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Yeon Joo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jong Sun Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Young-Jae Cho
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Ho Il Yoon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jae-Joon Yim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Choon-Taek Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jae Ho Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
- * E-mail:
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Diagnostic performance of interferon-γ release assay for lymph node tuberculosis. Diagn Microbiol Infect Dis 2016; 85:56-60. [PMID: 26971638 DOI: 10.1016/j.diagmicrobio.2016.02.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Revised: 02/01/2016] [Accepted: 02/01/2016] [Indexed: 12/18/2022]
Abstract
The aim of the study was to evaluate the performance of interferon-γ (IFN-γ) release assay (IGRA) (T-SPOT.TB) for patients with suspected lymph node tuberculosis (TB). Of the 405 patients with suspected lymph node TB, enrolled from Beijing Chest Hospital between July 2011 and April 2015, 83 (20.5%) were microbiologically/histopathologically confirmed lymph node TB, and 282 (69.6%) did not have active TB. The remaining 21 inconclusive TB and 19 clinical TB were excluded from the final analysis (9.9%). T-SPOT.TB using peripheral blood mononuclear cells was performed to examine the IFN-γ response to the Mycobacterium tuberculosis-specific antigens early secretory antigenic target 6 and culture filtrate protein 10. The overall sensitivity and specificity for T-SPOT.TB were 90.4% and 70.5%, respectively. Spot-forming cells in the lymph node TB group (184 [48-596/10(6) peripheral blood mononuclear cells {PBMCs}]) were significantly higher than that in the nonactive TB group (0 [0-41]/10(6) PBMCs) (P<0.001). These results suggest that the IGRA assay could be a useful aid in the diagnosis of lymph node TB.
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Jarvis J, Gao Y, de Graaf H, Hughes S, Allan RN, Williams A, Marshall B, Elkington P, Faust SN, Tebruegge M. Environmental temperature impacts on the performance of QuantiFERON-TB Gold In-Tube assays. J Infect 2015; 71:276-80. [DOI: 10.1016/j.jinf.2015.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Accepted: 04/04/2015] [Indexed: 11/29/2022]
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