Objective The diagnostic efficacy of long non-coding RNA (lncRNA) for tuberculosis was evaluated by systematic review. Methods Data from PubMed, Web of Science, Cochrane Library, Embase, 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. Stata 18.0 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 to 0.93), the specificity was 0.90 (95%CI 0.84 to 0.94), and the PLR was 9.05 (95%CI 5.16 to 15.87). The NLR and DOR were 0.13 (95%CI 0.08 to 0.22) and 67.96 (95%CI 27.27 to 169.39), and the AUC were 0.95 (95%CI 0.93 to 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 LncRNA has high accuracy in the diagnosis of tuberculosis, and is expected to become a new biomarker to assist the diagnosis of tuberculosis.
Citation：
YANG Wanzhong, MA Rong, GUO Wei, YANG Jie, GE Zhaohui. The diagnostic value of lncRNA in tuberculosis: a meta-analysis. Chinese Journal of Evidence-Based Medicine, 2025, 25(5): 519-525. doi: 10.7507/1672-2531.202410029
Copy
Copyright © the editorial department of Chinese Journal of Evidence-Based Medicine of West China Medical Publisher. All rights reserved
| 1. |
World Health Organization. Global tuberculosis report 2023. 2023.
|
| 2. |
|
| 3. |
|
| 4. |
|
| 5. |
|
| 6. |
|
| 7. |
|
| 8. |
|
| 9. |
|
| 10. |
|
| 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. |
|
| 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. |
|
| 16. |
|
| 17. |
|
| 18. |
|
| 19. |
|
| 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. |
|
| 22. |
|
| 23. |
|
| 24. |
|
| 25. |
|
| 26. |
|
| 27. |
|
| 28. |
|
| 29. |
|
| 30. |
|
| 31. |
|
| 32. |
|
| 33. |
|
| 34. |
|
| 35. |
|
| 36. |
|
| 37. |
|
| 38. |
|
- 1. World Health Organization. Global tuberculosis report 2023. 2023.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
- 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.
- 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.
- 16.
- 17.
- 18.
- 19.
- 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.
- 22.
- 23.
- 24.
- 25.
- 26.
- 27.
- 28.
- 29.
- 30.
- 31.
- 32.
- 33.
- 34.
- 35.
- 36.
- 37.
- 38.
