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Published on: July 3, 2018
Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis
Fei Luo1, Tao Wang2, Lini Zeng3
1Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Insights
Long non-coding RNAs (LncRNAs) show promise as diagnostic biomarkers for cardiovascular diseases (CVDs). Their detection in plasma significantly improves diagnostic accuracy, offering a valuable tool for uncertain cases.
Area of Science:
- Biochemistry
- Molecular Biology
- Genetics
Background:
- Cardiovascular disease (CVD) remains a leading global cause of mortality.
- Accurate diagnosis and treatment optimization are crucial for managing CVDs.
- Aberrantly regulated circulating long non-coding RNAs (LncRNAs) are emerging as potential biomarkers for various CVDs.
Purpose of the Study:
- To systematically evaluate the diagnostic value of LncRNAs in patients with cardiovascular diseases.
- To identify LncRNAs as potential diagnostic or prognostic biomarkers for CVDs.
Main Methods:
- A meta-analysis was conducted on studies reporting the association between LncRNAs and CVD diagnosis.
- Sensitivities, specificities, and area under the curve (AUC) were calculated for LncRNAs.
- Subgroup and meta-regression analyses were performed to explore heterogeneity and improve diagnostic accuracy.
Main Results:
- The pooled diagnostic accuracy for LncRNAs expression profiles showed a sensitivity of 0.74 and specificity of 0.81 (AUC=0.85).
- Detection of LncRNAs in plasma significantly enhanced diagnostic accuracy.
- Detection method and sample size were identified as key sources of heterogeneity.
Conclusions:
- LncRNAs demonstrate significant potential as auxiliary biomarkers for cardiovascular diseases, particularly in cases with uncertain diagnoses.
- Further population-based prospective cohort studies are recommended to validate these findings.
Abstract:
Cardiovascular disease (CVD) is a major killer of the human population around the world. Identifying effective diagnostic biomarkers for CVDs is particularly important in order to guide optimizing treatment. Accumulating evidence on aberrantly regulated circulating long non-coding RNAs (LncRNAs) promise to serve as a diagnostic or prognostic biomarker for various types of CVDs. We summarized studies to identify the potential diagnostic values of LncRNAs in CVD patients. We included articles reporting on the association between LncRNAs and diagnosis in CVDs. We calculated sensitivities, specificities, and area under the curves of LncRNAs. The pooled overall sensitivity and specificity for LncRNAs expression profile in differentiating CVD patients from controls (non-CVDs or healthy subjects) were 0.74 (95%CI 0.68-0.80) and 0.81 (95%CI 0.76-0.85), respectively; the overall positive likelihood ratio, 3.9 (95%CI 3.1-4.9); the negative likelihood ratio, 0.32 (95%CI 0.25-0.40); corresponding to an area under curve of 0.85 (95%CI 0.82-0.88) and overall diagnostic odds ratio 12 (95%CI 9-18). Subgroup analysis showed that the detection of LncRNAs expression in plasma substantially improved the diagnostic accuracy. Likewise, meta-regression analysis indicated that the detection method and sample size were the main source of heterogeneity. All these results suggested a relatively good reference value of LncRNAs as auxiliary biomarkers for CVDs, and should be considered in cases where the diagnosis is uncertain. Population-based prospective cohort studies are warranted to confirm our findings.
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