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
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| 1. |
World Health Organization. Global tuberculosis report 2023. 2023.
|
| 2. |
|
| 3. |
|
| 4. |
|
| 5. |
|
| 6. |
|
| 7. |
|
| 8. |
|
| 9. |
|
| 10. |
|
| 11. |
楊曉帆. 結核分枝桿菌感染巨噬細胞lncRNA和mRNA表達譜的初步研究. 廣州: 南方醫科大學, 2017.
|
| 12. |
|
| 13. |
羅杰. 細胞因子及長鏈非編碼RNA在結核菌不同感染狀態中的診斷價值. 重慶: 陸軍軍醫大學, 2018.
|
| 14. |
陳鐘梁. 基于血漿lncRNAs芯片技術的肺結核病潛在生物學標志物的篩選與鑒定. 杭州: 浙江大學, 2017.
|
| 15. |
|
| 16. |
|
| 17. |
|
| 18. |
|
| 19. |
|
| 20. |
鐘嬋麗. 外周血單個核細胞中lncRNANORAD和miR-433的差異表醫學博士達對活動性肺結核的診斷價值. 湛江: 廣東醫科大學, 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. 楊曉帆. 結核分枝桿菌感染巨噬細胞lncRNA和mRNA表達譜的初步研究. 廣州: 南方醫科大學, 2017.
- 12.
- 13. 羅杰. 細胞因子及長鏈非編碼RNA在結核菌不同感染狀態中的診斷價值. 重慶: 陸軍軍醫大學, 2018.
- 14. 陳鐘梁. 基于血漿lncRNAs芯片技術的肺結核病潛在生物學標志物的篩選與鑒定. 杭州: 浙江大學, 2017.
- 15.
- 16.
- 17.
- 18.
- 19.
- 20. 鐘嬋麗. 外周血單個核細胞中lncRNANORAD和miR-433的差異表醫學博士達對活動性肺結核的診斷價值. 湛江: 廣東醫科大學, 2022.
- 21.
- 22.
- 23.
- 24.
- 25.
- 26.
- 27.
- 28.
- 29.
- 30.
- 31.
- 32.
- 33.
- 34.
- 35.
- 36.
- 37.
- 38.
