Meta-analysis of the diagnostic value of LncRNA in tuberculosis_Chinese Journal of Evidence-Based Medicine

Authors：

YANG Wanzhong , MA Rong , GUO Wei , YANG Jie ,  GE Zhaohui

The First Clinical Medical School of Ningxia Medical University, Yinchuan, 750004;

Corresponding author：

GE Zhaohui, Email: myovid@126.com

Keywords：

lncRNA; Tuberculosis; Diagnostic values; Meta-analysis

DOI：

10.7507/1672-2531.202410029

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective The diagnostic efficacy of circulating long non-coding RNA (lncRNA) for tuberculosis was evaluated by systematic review. Methods Data from PubMed, Web of Science, Cochrane Library, Embase, Chinese Medical Journals Full-Text Database(CMJFD), CNKI and WanFang Data were searched. Literatures on the diagnostic value of lncRNA in tuberculosis from the database establishment to August 20, 2024 were selected, and the quality of literatures was assessed using QUADAS-2 tool. Meta-Disc 1.0 software tested the threshold heterogeneity of the included studies. Stata18.0 software calculated sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and other effect sizes, and performed subgroup analysis and meta regression to explore the source of heterogeneity. Deeks funnel plot evaluates publication bias. Results A total of 28 case-control studies were included in 14 literatures. The meta-results showed that the combined sensitivity was 0.88 (95%CI:0.81-0.93), the specificity was 0.90 (95%CI:0.84-0.94), and the PLR was 9.05 (95%CI:5.16-15.87). The NLR and DOR were 0.13 (95%CI:0.08-0.22) and 67.96 (95%CI:27.27-169.39), and the AUC were 0.95 (95%CI: 0.93-0.97). Subgroup analysis showed that lncRNA was more effective in the diagnosis of tuberculosis when PMBC samples, LncRNA expression was down-regulation, the study sample size was ≤100, there was cut-off value, GAPDH was used as the internal reference, and RNA extraction kit was used. meta regression indicated that lncRNA expression level and sample size were the main sources of heterogeneity. Conclusion s lncRNA has high accuracy in the diagnosis of tuberculosis, and is expected to become a new biomarker to assist the diagnosis of tuberculosis.

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8.	Yan H, Liu G, Liang Y, et al. Up-regulated long noncoding RNA AC007128. 1 and its genetic polymorphisms associated with tuberculosis susceptibility. Ann Transl Med, 2021, 9(12): 1018.
9.	李发科, 罗杰, 甘德露, 等. 长链非编码RNAMALAT1在鉴别结核感染中的价值. 免疫学杂志, 2019, 35(10): 885-890.
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16.	陈敏, 余韵, 张燕, 等. 长链非编码RNA NEAT1、IL-6和TNF-α在结核感染中的表达水平及诊断价值研究. 国际检验医学杂志, 2020, 41(17): 2061-2065.
17.	梁伊乐, 胡新俊, 岳峰, 等. 肺结核病人外周血长链非编码RNAMIR155宿主基因的表达研究. 安徽医药, 2021, 25(7): 1359-1362.
18.	李君莉, 赵慧姝. 外周血LncRNAMIR155HG、miR-155检测在肺结核筛查中的临床价值. 临床检验杂志, 2021, 39(9): 675-678.
19.	肖欢容, 王少锋, 蔡志钢. LncRNACASC7与miR-27b-3p在肺结核外周血单核细胞中的表达及意义. 临床肺科杂志, 2021, 26(4): 548-551,555.
20.	钟婵丽. 外周血单个核细胞中lncRNANORAD和miR-433的差异表医学博士达对活动性肺结核的诊断价值. 湛江: 广东医科大学, 2022.
21.	Sun W, He X, Zhang X, et al. Diagnostic value of lncRNA NORAD in pulmonary tuberculosis and its regulatory role in mycobacterium tuberculosis infection of macrophages. Microbiol Immunol, 2022, 66(9): 433-441.
22.	Sun W, Zhang X, He X, et al. Long non-coding RNA SNHG16 silencing inhibits proliferation and inflammation in mycobacterium tuberculosis-infected macrophages by targeting miR-140-5p expression. Infect Genet Evol, 2022, 103: 105325.
23.	Dong J, Song R, Shang X, et al. Identification of important modules and biomarkers in tuberculosis based on WGCNA. Front Microbiol, 2024, 15: 1354190.
24.	Huang S, Kang X, Zeng Z, et al. Neutrophil lncRNA ZNF100-6: 2 is a potential diagnostic marker for active pulmonary tuberculosis. Eur J Med Res, 2024, 29(1): 162.
25.	Roy S, Schmeier S, Kaczkowski B, et al. Transcriptional landscape of mycobacterium tuberculosis infection in macrophages. Sci Rep, 2018, 8(1): 6758.
26.	Zhong X, Guo Q, Zhao J, et al. Diagnostic significance of long non-coding RNAs expression in tuberculosis patients: a systematic review and meta-analysis. Medicine (Baltimore), 2022, 101(7): e28879.
27.	Glas AS, Lijmer JG, Prins MH, et al. The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol, 2003, 56(11): 1129-1135.
28.	Nahm FS. Receiver operating characteristic curve: overview and practical use for clinicians. Korean J Anesthesiol, 2022, 75(1): 25-36.
29.	Rubinstein ML, Kraft CS, Parrott JS. Determining qualitative effect size ratings using a likelihood ratio scatter matrix in diagnostic test accuracy systematic reviews. Diagnosis (Berl), 2018, 5(4): 205-214.
30.	Sun C, Xiao T, Xiao Y, et al. Silencing of long non-coding RNA NEAT1 inhibits hepatocellular carcinoma progression by downregulating SMO by sponging microRNA-503. Mol Med Rep, 2021, 23(3): 168.
31.	Ming X, Duan W, Yi W. Long non-coding RNA NEAT1 predicts elevated chronic obstructive pulmonary disease (COPD) susceptibility and acute exacerbation risk, and correlates with higher disease severity, inflammation, and lower miR-193a in COPD patients. Int J Clin Exp Pathol, 2019, 12(8): 2837-2848.
32.	Lee SY, Kwon J, Woo JH, et al. Bcl2l10 mediates the proliferation, invasion and migration of ovarian cancer cells. Int J Oncol, 2020, 56(2): 618-629.
33.	Lee SY, Kwon J, Lee KA. Bcl2l10 induces metabolic alterations in ovarian cancer cells by regulating the TCA cycle enzymes SDHD and IDH1. Oncol Rep, 2021, 45(4): 47.
34.	郑绪香, 施绍瑞, 汪顺伟, 等. 长链非编码RNA对肺结核的诊断效能Meta分析. 检验医学与临床, 2022, 19(23): 3189-3194.
35.	Yi F, Hu J, Zhu X, et al. Transcriptional profiling of human peripheral blood mononuclear cells stimulated by mycobacterium tuberculosis PPE57 identifies characteristic genes associated with type i interferon signaling. Front Cell Infect Microbiol, 2021, 11: 716809.
36.	Roy S, Schmeier S, Kaczkowski B, et al. Transcriptional landscape of mycobacterium tuberculosis infection in macrophages. Sci Rep, 2018, 8(1): 6758.
37.	Li M, Cui J, Niu W, et al. Long non-coding PCED1B-AS1 regulates macrophage apoptosis and autophagy by sponging miR-155 in active tuberculosis. Biochem Biophys Res Commun, 2019, 509(3): 803-809.
38.	Ke Z, Lu J, Zhu J, et al. Down-regulation of lincRNA-EPS regulates apoptosis and autophagy in BCG-infected RAW264. 7 macrophages via JNK/MAPK signaling pathway. Infect Genet Evol, 2020, 77: 104077.
39.	Jiang F, Lou J, Zheng XM, et al. LncRNA MIAT regulates autophagy and apoptosis of macrophage infected by mycobacterium tuberculosis through the miR-665/ULK1 signaling axis. Mol Immunol, 2021, 139: 42-49.

1. World Health Organization. Global tuberculosis report 2023. 2023.
2. Acharya B, Acharya A, Gautam S, et al. Advances in diagnosis of tuberculosis: an update into molecular diagnosis of mycobacterium tuberculosis. Mol Biol Rep, 2020, 47(5): 4065-4075.
3. Rangaka MX, Cavalcante SC, Marais BJ, et al. Controlling the seedbeds of tuberculosis: diagnosis and treatment of tuberculosis infection. Lancet, 2015, 386(10010): 2344-2353.
4. Zhang Q, Zhang Q, Sun BQ, et al. GeneXpert MTB/RIF for rapid diagnosis and rifampin resistance detection of endobronchial tuberculosis. Respirology, 2018, 23(10): 950-955.
5. Charles Richard JL, Eichhorn PJA. Platforms for investigating LncRNA functions. SLAS Technol, 2018, 23(6): 493-506.
6. Fathizadeh H, Hayat SMG, Dao S, et al. Long non-coding RNA molecules in tuberculosis. Int J Biol Macromol, 2020, 156: 340-346.
7. Xia J, Liu Y, Ma Y, et al. Advances of long non-coding RNAs as potential biomarkers for tuberculosis: new hope for diagnosis. Pharmaceutics, 2023, 15(8): 2096.
8. Yan H, Liu G, Liang Y, et al. Up-regulated long noncoding RNA AC007128. 1 and its genetic polymorphisms associated with tuberculosis susceptibility. Ann Transl Med, 2021, 9(12): 1018.
9. 李发科, 罗杰, 甘德露, 等. 长链非编码RNAMALAT1在鉴别结核感染中的价值. 免疫学杂志, 2019, 35(10): 885-890.
10. Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med, 2011, 155(8): 529-536.
11. 杨晓帆. 结核分枝杆菌感染巨噬细胞lncRNA和mRNA表达谱的初步研究. 广州: 南方医科大学, 2017.
12. 罗清, 姚芳苡, 彭亦平, 等. 血清长链非编码RNA肺腺癌转移相关转录本1在肺结核中的诊断价值. 中华传染病杂志, 2017, 35(11): 684-687.
13. 罗杰. 细胞因子及长链非编码RNA在结核菌不同感染状态中的诊断价值. 重庆: 陆军军医大学, 2018.
14. 陈钟梁. 基于血浆lncRNAs芯片技术的肺结核病潜在生物学标志物的筛选与鉴定. 杭州: 浙江大学, 2017.
15. Wang L, Xie B, Zhang P, et al. LOC152742 as a biomarker in the diagnosis of pulmonary tuberculosis infection. J Cell Biochem, 2019, 120(6): 8949-8955.
16. 陈敏, 余韵, 张燕, 等. 长链非编码RNA NEAT1、IL-6和TNF-α在结核感染中的表达水平及诊断价值研究. 国际检验医学杂志, 2020, 41(17): 2061-2065.
17. 梁伊乐, 胡新俊, 岳峰, 等. 肺结核病人外周血长链非编码RNAMIR155宿主基因的表达研究. 安徽医药, 2021, 25(7): 1359-1362.
18. 李君莉, 赵慧姝. 外周血LncRNAMIR155HG、miR-155检测在肺结核筛查中的临床价值. 临床检验杂志, 2021, 39(9): 675-678.
19. 肖欢容, 王少锋, 蔡志钢. LncRNACASC7与miR-27b-3p在肺结核外周血单核细胞中的表达及意义. 临床肺科杂志, 2021, 26(4): 548-551,555.
20. 钟婵丽. 外周血单个核细胞中lncRNANORAD和miR-433的差异表医学博士达对活动性肺结核的诊断价值. 湛江: 广东医科大学, 2022.
21. Sun W, He X, Zhang X, et al. Diagnostic value of lncRNA NORAD in pulmonary tuberculosis and its regulatory role in mycobacterium tuberculosis infection of macrophages. Microbiol Immunol, 2022, 66(9): 433-441.
22. Sun W, Zhang X, He X, et al. Long non-coding RNA SNHG16 silencing inhibits proliferation and inflammation in mycobacterium tuberculosis-infected macrophages by targeting miR-140-5p expression. Infect Genet Evol, 2022, 103: 105325.
23. Dong J, Song R, Shang X, et al. Identification of important modules and biomarkers in tuberculosis based on WGCNA. Front Microbiol, 2024, 15: 1354190.
24. Huang S, Kang X, Zeng Z, et al. Neutrophil lncRNA ZNF100-6: 2 is a potential diagnostic marker for active pulmonary tuberculosis. Eur J Med Res, 2024, 29(1): 162.
25. Roy S, Schmeier S, Kaczkowski B, et al. Transcriptional landscape of mycobacterium tuberculosis infection in macrophages. Sci Rep, 2018, 8(1): 6758.
26. Zhong X, Guo Q, Zhao J, et al. Diagnostic significance of long non-coding RNAs expression in tuberculosis patients: a systematic review and meta-analysis. Medicine (Baltimore), 2022, 101(7): e28879.
27. Glas AS, Lijmer JG, Prins MH, et al. The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol, 2003, 56(11): 1129-1135.
28. Nahm FS. Receiver operating characteristic curve: overview and practical use for clinicians. Korean J Anesthesiol, 2022, 75(1): 25-36.
29. Rubinstein ML, Kraft CS, Parrott JS. Determining qualitative effect size ratings using a likelihood ratio scatter matrix in diagnostic test accuracy systematic reviews. Diagnosis (Berl), 2018, 5(4): 205-214.
30. Sun C, Xiao T, Xiao Y, et al. Silencing of long non-coding RNA NEAT1 inhibits hepatocellular carcinoma progression by downregulating SMO by sponging microRNA-503. Mol Med Rep, 2021, 23(3): 168.
31. Ming X, Duan W, Yi W. Long non-coding RNA NEAT1 predicts elevated chronic obstructive pulmonary disease (COPD) susceptibility and acute exacerbation risk, and correlates with higher disease severity, inflammation, and lower miR-193a in COPD patients. Int J Clin Exp Pathol, 2019, 12(8): 2837-2848.
32. Lee SY, Kwon J, Woo JH, et al. Bcl2l10 mediates the proliferation, invasion and migration of ovarian cancer cells. Int J Oncol, 2020, 56(2): 618-629.
33. Lee SY, Kwon J, Lee KA. Bcl2l10 induces metabolic alterations in ovarian cancer cells by regulating the TCA cycle enzymes SDHD and IDH1. Oncol Rep, 2021, 45(4): 47.
34. 郑绪香, 施绍瑞, 汪顺伟, 等. 长链非编码RNA对肺结核的诊断效能Meta分析. 检验医学与临床, 2022, 19(23): 3189-3194.
35. Yi F, Hu J, Zhu X, et al. Transcriptional profiling of human peripheral blood mononuclear cells stimulated by mycobacterium tuberculosis PPE57 identifies characteristic genes associated with type i interferon signaling. Front Cell Infect Microbiol, 2021, 11: 716809.
36. Roy S, Schmeier S, Kaczkowski B, et al. Transcriptional landscape of mycobacterium tuberculosis infection in macrophages. Sci Rep, 2018, 8(1): 6758.
37. Li M, Cui J, Niu W, et al. Long non-coding PCED1B-AS1 regulates macrophage apoptosis and autophagy by sponging miR-155 in active tuberculosis. Biochem Biophys Res Commun, 2019, 509(3): 803-809.
38. Ke Z, Lu J, Zhu J, et al. Down-regulation of lincRNA-EPS regulates apoptosis and autophagy in BCG-infected RAW264. 7 macrophages via JNK/MAPK signaling pathway. Infect Genet Evol, 2020, 77: 104077.
39. Jiang F, Lou J, Zheng XM, et al. LncRNA MIAT regulates autophagy and apoptosis of macrophage infected by mycobacterium tuberculosis through the miR-665/ULK1 signaling axis. Mol Immunol, 2021, 139: 42-49.

Chinese Journal of Evidence-Based Medicine

Latest ArticlesMeta-analysis of the diagnostic value of LncRNA in tuberculosis

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