Department of Pharmacy, The Affiliated Hospital of Putian University, Putian, Fujian Province, China.
Pharmaceutical and Medical Technology College, Putian University, Putian, Fujian Province, China.
BMC Pulm Med. 2023 Sep 11;23(1):340. doi: 10.1186/s12890-023-02635-w.
Chronic obstructive pulmonary disease (COPD) is one of the main causes of morbidity and mortality in the world. However, there are some patients who are not diagnosed early and correctly through routine methods because of inconspicuous or serious symptoms. This study aims to assess the diagnostic role of long non-coding RNA (lncRNA) in COPD.
We searched literature from electronic databases, after excluding non-COPD literature, the bibliometric analysis was performed, and VOSviewer software was used to represent the data analyzed. Literature evaluating the diagnostic test accuracy of lncRNA for COPD was eligible, and the QUADAS-2 checklist was used to evaluate the quality. The pooled sensitivity (SEN), specificity (SPE), diagnostic odds ratio (DOR), and summary receiver operating characteristic curve (sROC) were used to analyze the overall diagnostic performance. Subgroup and meta-regression analyses were performed to explore the heterogeneity, and a funnel plot was assessed for publication bias. Also, lncRNAs related to COPD were identified and explored for their potential biological function.
An increased annual growth rate of literature on this subject from 2016 focused on COPD, humans, RNA, and lncRNA. The meta-analysis enrolled 17 literature indicated that the SEN, SPE, and DOR differentiating COPD patients from normal controls (NCs) were 0.86 (95% CI [0.80, 0.90]), 0.78 (95% CI [0.67, 0.86]), and 21.59 (95% CI [11.39, 40.91]), respectively. Meanwhile, lncRNAs had the ability to distinguish acute exacerbations of COPD (AECOPD) patients from COPD; the SEN, SPE, and DOR were 0.75 (95% CI [0.62, 0.85]), 0.81 (95% CI [0.71, 0.89]), and 13.02 (95% CI [7.76, 21.85]), respectively. The area under the sROC were calculated to be greater than 0.8 at least. Subgroup and meta-regression analysis showed that the types of specimens and dysregulated lncRNAs might affect the diagnostic accuracy. The funnel plot showed there was a certain publication bias. 41 lncRNAs related to COPD were identified and mainly located in the nucleus and cytoplasm, associated with proliferation, invasion, and prognosis. These lncRNA-binding proteins were involved in the spliceosome, Rap1 signaling pathway, MAPK signaling pathway, and so on.
LncRNA suggests potential diagnostic biomarkers and therapeutic targets for COPD patients.
慢性阻塞性肺疾病（COPD）是世界上发病率和死亡率的主要原因之一。然而，由于症状不明显或严重，有些患者无法通过常规方法进行早期和正确的诊断。本研究旨在评估长链非编码 RNA（lncRNA）在 COPD 中的诊断作用。
我们从电子数据库中检索文献，排除非 COPD 文献后，进行文献计量分析，并使用 VOSviewer 软件表示分析数据。合格的文献评估了 lncRNA 对 COPD 的诊断试验准确性，使用 QUADAS-2 清单评估质量。汇总敏感性（SEN）、特异性（SPE）、诊断比值比（DOR）和综合受试者工作特征曲线（sROC）用于分析整体诊断性能。进行亚组和荟萃回归分析以探索异质性，并评估漏斗图以评估发表偏倚。还鉴定了与 COPD 相关的 lncRNA 并探讨了其潜在的生物学功能。
从 2016 年开始，该主题的文献以每年增长的速度增加，重点是 COPD、人类、RNA 和 lncRNA。荟萃分析纳入了 17 项文献，结果表明，区分 COPD 患者和正常对照（NC）的 SEN、SPE 和 DOR 分别为 0.86（95%CI[0.80, 0.90]）、0.78（95%CI[0.67, 0.86]）和 21.59（95%CI[11.39, 40.91]）。同时，lncRNA 能够区分急性加重期 COPD（AECOPD）患者和 COPD 患者；SEN、SPE 和 DOR 分别为 0.75（95%CI[0.62, 0.85]）、0.81（95%CI[0.71, 0.89]）和 13.02（95%CI[7.76, 21.85]）。sROC 的曲线下面积至少大于 0.8。亚组和荟萃回归分析表明，标本类型和失调的 lncRNA 可能影响诊断准确性。漏斗图显示存在一定的发表偏倚。鉴定出 41 种与 COPD 相关的 lncRNA，主要位于细胞核和细胞质中，与增殖、侵袭和预后有关。这些 lncRNA 结合蛋白参与剪接体、Rap1 信号通路、MAPK 信号通路等。
lncRNA 为 COPD 患者提供了潜在的诊断生物标志物和治疗靶点。
