Immunological Characteristics of Patients with Active and Nonactive Pulmonary Tuberculosis

Lingjun SHEN; Lin WANG; Zhiqiang MA; Xing LIU; Haiwen LI; Ge WANG; Wenming LI; Pengju LUO

doi:10.12259/j.issn.2095-610X.S20220821

Volume 43 Issue 8

Jul. 2022

Turn off MathJax

Article Contents

Article Navigation > Journal of Kunming Medical University > 2022 > 43(8): 122-126

Lingjun SHEN, Lin WANG, Zhiqiang MA, Xing LIU, Haiwen LI, Ge WANG, Wenming LI, Pengju LUO. Immunological Characteristics of Patients with Active and Nonactive Pulmonary Tuberculosis[J]. Journal of Kunming Medical University, 2022, 43(8): 122-126. doi: 10.12259/j.issn.2095-610X.S20220821

Citation:

Lingjun SHEN, Lin WANG, Zhiqiang MA, Xing LIU, Haiwen LI, Ge WANG, Wenming LI, Pengju LUO. Immunological Characteristics of Patients with Active and Nonactive Pulmonary Tuberculosis[J]. Journal of Kunming Medical University, 2022, 43(8): 122-126. doi: 10.12259/j.issn.2095-610X.S20220821

Citation:

Lingjun SHEN, Lin WANG, Zhiqiang MA, Xing LIU, Haiwen LI, Ge WANG, Wenming LI, Pengju LUO. Immunological Characteristics of Patients with Active and Nonactive Pulmonary Tuberculosis[J]. Journal of Kunming Medical University, 2022, 43(8): 122-126. doi: 10.12259/j.issn.2095-610X.S20220821

PDF( 646 KB)

Immunological Characteristics of Patients with Active and Nonactive Pulmonary Tuberculosis

doi: 10.12259/j.issn.2095-610X.S20220821

Dept. of Integrated tuberculosis，The 3rd People’s Hospital of Kunming/The Clinical Medical Center for Infectious Diseases of Yunnan，Kunming Yunnan 650301，China

Received Date: 2022-03-28
Publish Date: 2022-08-25

Abstract

Abstract

Objective To investigate the characteristics and significance of immune function in patients with active and non-active pulmonary tuberculosis. Methods A total of 78 patients with active tuberculosis treated in Kunming Third People’s Hospital from January 2020 to January 2021 were enrolled as the control group, and 28 patients with non-active tuberculosis were enrolled as the observation group. The expression levels of antibodies and cytokines and immune cell production in the two groups were analyzed. Results Compared with the control group, the levels of IFN-γ and IL-6 in observation group were decreased, and the differences were statistically significant （P < 0.05）. There was no significant difference in the levels of IgG, IgA, IgM and other 10 cytokines including IL-1, IL-2, IL-4, IL-5, IL-8 （ P > 0.05）; CD3 ⁺T, CD4⁺T, CD8⁺T cells and CD4⁺/CD8⁺ increased, the absolute numbers of lymphocytes and NK cells decreased, and the differences were statistically significant （P < 0.05）, while the absolute numbers of B cells showed no significant difference （ P > 0.05）. Conclusion Cytokines IFN-γ, IL-6 and lymphocyte subsets can be used as reference indicators of immune function in patients with inactive pulmonary tuberculosis, and have certain guiding significance for active relapse of tuberculosis.
- Active tuberculosis,
- Non-active tuberculosis,
- Immune status

FullText(HTML)

References(27)

References

[1]	卢春容,房宏霞,陆普选,等. WHO 2021年全球结核病报告:全球与中国关键数据分析[J]. 新发传染病电子杂志,2021,6(4):368-372.
[2]	李小平,甘超,彭金秀,等. 结核分枝杆菌持续感染致T淋巴细胞耗竭的研究[J]. 兰州大学学报(医学版),2017,43(6):41-46.
[3]	张丽娇. 非结核分枝杆菌感染对巨噬细胞抗原递呈及CD4⁺T淋巴细胞亚群极化的影响及相关机制研究[D]. 长春: 吉林农业大学博士学位论文, 2016.
[4]	杨田田,陈娜,李金玲,等. 肺结核患者炎症介质及免疫细胞检验的意义[J]. 医疗装备,2020,33(2):45-46. doi: 10.3969/j.issn.1002-2376.2020.02.030
[5]	Vasil’Eva E V,Verbov V N,Ivanovskii V B,et al. Combined determination of spontaneous and antigen-induced production of cytokines for differential diagnostics of active tuberculosis of lungs and latent tuberculosis infection[J]. Zh Mikrobiol Epidemiol Immunobiol,2013,4(4):77-85.
[6]	Zellweger J P,Sotgiu G,Corradi M,et al. The diagnosis of latent tuberculosis infection (LTBI):Currently available tests,future developments,and perspectives to eliminate tuberculosis (TB)[J]. Med Lav,2020,111(3):170-183.
[7]	刘婷,向延根,范任华,等. 肺结核病人细胞因子的研究进展[J]. 实用预防医学,2016,23(7):894-897. doi: 10.3969/j.issn.1006-3110.2016.07.040
[8]	董海平,王彩珠,梁小成,等. 血浆细胞因子在肺结核复发中的意义[J]. 现代医院,2019,19(7):1015-1018. doi: 10.3969/j.issn.1671-332X.2019.07.022
[9]	张同威,汪毅平,贾赤宇. 清创后外用碱性成纤维细胞生长因子对新西兰兔结核性创面愈合的影响[J]. 中华烧伤志,2019,35(2):95-103.
[10]	冯经华,尹凤鸣,严振球. 目前结核分枝杆菌感染中重要免疫细胞和细胞因子作用的研究进展[J]. 临床军医杂志,2007,35(2):291-295. doi: 10.3969/j.issn.1671-3826.2007.02.050
[11]	叶璐,陆友金,甘能金,等. IFN-γ释放试验在结核分枝杆菌潜伏感染诊断中的临床应用价值[J]. 中国病原生物学杂志,2016,11(12):1131-1133.
[12]	宋蔷,周康仕,李典芬,等. 结核分杆菌诱导的人肺泡巨噬细胞对IFN-γ反应性的改变及机制研究[J]. 医学理论与实践,2017,30(12):1730-1732.
[13]	王庆枫,韩喜琴,陈玉玲,等. 肺结核患者T淋巴细胞亚群的检测及临床意义[J]. 北京医学杂志,2013,35(12):993-995.
[14]	王丽. T细胞耗竭对耐多药肺结核患者免疫表达的影响研究[D]. 上海: 上海海洋大学硕士学位论文, 2021.
[15]	梁建琴,吴雪琼. 《结核病患者外周血淋巴细胞亚群检测及临床应用专家共识》解读[J]. 中国防痨杂志,2020,42(12):1276-1279. doi: 10.3969/j.issn.1000-6621.2020.12.005
[16]	王黎霞,成诗明,周林,等. 中华人民共和国卫生行业标准肺结核诊断:WS288-2017[J]. 中国感染控制杂志,2018,17(7):642-652.
[17]	常瑞霞,可春梅. 贝达喹啉治疗耐多药结核病的疗效和安全性[J]. 临床药物治疗杂志,2021,19(3):57-60. doi: 10.3969/j.issn.1672-3384.2021.03.011
[18]	宋华峰,袁丹丹,陈慧,等. 耐多药肺结核患者外周血中淋巴细胞比例变化分析[J]. 临床肺科杂志,2018,23(3):391-395. doi: 10.3969/j.issn.1009-6663.2018.03.002
[19]	尚丹鹤,乔凯. 慢性阻塞性肺病合并肺结核患者免疫功能变化分析[J]. 河南医学高等专科学校学报,2022,34(3):278-281.
[20]	王慧,梁瑞霞. 肺结核合并肺癌与单纯肺结核患者的临床特征和免疫功能及并发症比较分析[J]. 实用癌症杂志,2021,36(12):2001-2003.
[21]	方伟军,韩远远,宋敏,等. 陈旧性肺结核复燃的CT征象分析[J]. 新发传染病电子杂志,2021,6(1):45-48. doi: 10.19871/j.cnki.xfcrbzz.2021.01.010
[22]	李鹰,王祖康,魏尤良,等. 初治涂阳肺结核患者治愈后的随访观察及复发情况的影响因素分析[J]. 中国全科医学,2021,24(14):1785-1789.
[23]	梁艳辉, 赵磊. 胸腺五肽辅助治疗颈部淋巴结核对T淋巴细胞亚群及IFN-γ和IL-10水平的影响. 现代中西医结合杂志, 2016, 25（12）: 1336-1338.
[24]	高琼瑶. 肺结核患者T细胞亚群检测的临床意义[D]. 延安: 延安大学硕士学位论文, 2015.
[25]	付笑迎,陈运生,吴长有. 结核性胸液中NK细胞的活化、记忆表型及分泌IFN-γ功能的多色流式分析[J]. 免疫学杂志,2020,36(8):690-695.
[26]	唐怡敏,洪凤珠,王进,等. 右美托咪对结核病大鼠的T淋巴细胞、NK细胞和γ-干扰素表达和肺损伤的影响[J]. 新发传染病电子杂志,2021,6(2):92-96.
[27]	郭素敏,迟俊玲,高景,等. 自体NK细胞免疫治疗对亚健康人群生活质量的临床研究[J]. 河北医药,2015,37(3):399-400.

Relative Articles(20)

Relative Articles

[1]	Lingjun SHEN, Longfen LI, Chunjing SHI, Wenming LI, Yuanqing HUANG, Huajie ZHANG, Yun LUO, jie LI, Li LIU. Factors Influencing the Development of Extra-Pulmonary Tuberculosis in Patients with Viral Hepatitis Complicated by Pulmonary Tuberculosis. Journal of Kunming Medical University, 2024, 46(): 1-7.
[2]	Feng SHEN, Yifan YANG, Ru BAI, Shu LI, Shuang LIU, Jian XU. Association between Systemic Immune-Inflammation Index and Disease Activity in Patients with Systemic Lupus Erythematosus. Journal of Kunming Medical University, 2024, 45(10): 45-49. doi: 10.12259/j.issn.2095-610X.S20241007
[3]	Jihong LIU, Zhiqiang MA, Lin WANG, Xiaoyan WANG, Weiguang TIAN, Baoping LI, Rui DONG, Yujia LV. Correlation Analysis of Immune Function of Tuberculosis Patients Infected with COVID-19. Journal of Kunming Medical University, 2024, 45(4): 157-162. doi: 10.12259/j.issn.2095-610X.S20240423
[4]	Lin WANG, Lingjun SHEN, Haiwen LI, Xiaoyan WANG, Jianpeng GAO, Zhiqiang MA. Analysis of Nutritional Status and Immune Function of Tuberculosis Patients in Yunnan. Journal of Kunming Medical University, 2023, 44(1): 109-115. doi: 10.12259/j.issn.2095-610X.S20230116
[5]	Hao FAN, Xing LIU, Le ZHANG, Weixian LI, Xuejiao WU, Yi HAN, Xiaodie YAO. Applications of Decision Tree Models and Logistic Regression in the Prediction of Active Tuberculosis. Journal of Kunming Medical University, 2023, 44(9): 25-31. doi: 10.12259/j.issn.2095-610X.S20230916
[6]	Rong WAN, Guangmei LI, Meng MA, Minghong LAI, Cai LIU, Mingwu LI. Clinical Features of Tuberculosis with Negative T Cell Spot Test in Peripheral Blood. Journal of Kunming Medical University, 2022, 43(4): 132-136. doi: 10.12259/j.issn.2095-610X.S20220420
[7]	Hao FAN, Xing LIU, Lingjun SHEN, Haiwen LI, Chunhong YU, Jingwei LI. Constructing A Nomogram Prediction Model for Active Pulmonary Tuberculosis Based on AAT and Cytokines. Journal of Kunming Medical University, 2022, 43(8): 106-112. doi: 10.12259/j.issn.2095-610X.S20220816
[8]	Ran Hai Liang , Yang Qing Huan , Chen Ying , Xiong Li Fen , Deng Yi Yu , He Xiu Yun . . Journal of Kunming Medical University, 2020, 41(06): 46-50.
[9]	Liu Xing , Sun Hui , Du Ying Rong , Chen Jie , Ou Yang Bing , Zhang Le . . Journal of Kunming Medical University, 2020, 41(03): 22-29.
[10]	Shen Ling Jun , Zhu Hui Qiong . . Journal of Kunming Medical University, 2020, 41(02): 100-103.
[11]	Wan Rong , Li Ming Wu , Li Guang Mei , Zhu Hui Qiong , Ma Meng , Liu Cai . . Journal of Kunming Medical University, 2020, 41(09): 102-106.
[12]	Rong WAN, Ming-wu LI, Meng MA, Ming-hong LAI, Guang-mei Li. Efficacy of T-SPOT.TB in Treatment of Active Tuberculosis. Journal of Kunming Medical University, 2020, 41(12): 133-137. doi: 10.12259/j.issn.2095-610X.S20201237
[13]	Hong Xu Hua . Effects of Tuberculosis Drugs Combined with Rifapentine on the Immune Function， Inflammatory Factors， VEGF and MMP-9 of TB Patients. Journal of Kunming Medical University,
[14]	Wang Qin Ying . . Journal of Kunming Medical University,
[15]	Sun Yan Chun . . Journal of Kunming Medical University,
[16]	Lu Ni Hong . . Journal of Kunming Medical University,
[17]	Long Zhi Ren . . Journal of Kunming Medical University,
[18]	Chen Lian Yong . Analysis on Causes of Tuberculosis Patients and Suspects Failing to CDC in Yunnan. Journal of Kunming Medical University,
[19]	Lu Ni Hong . Clinical Characteristics of Pulmonary Tuberculosis Patients with and without HIV(+)/AIDS. Journal of Kunming Medical University,
[20]	. The Value of T Cells Spots Test in the Diagnosis of Human Immunodeficiency Virus Amalgamative Tuberculosis Pateints with Different Levels of T cells. Journal of Kunming Medical University,