Clinical significance of the long non‑coding RNA NEAT1/miR‑129‑5p axis in the diagnosis and prognosis for patients with chronic heart failure

Zhang, Haohua; Zhang, Nianli; Jiang, Wenbin; Lun, Xiaoqin

doi:10.3892/etm.2021.9943

“…In addition, one of the studies collected blood from two different locations from the same patients (vein and coronary sinus); 24% of studies used TaqMan assay to measure expression levels of miRNAs; 42% and 29% of studies were conducted in China and Europe between 2010 and 2021, respectively ( Table 1 and online supplementary Table Appendix S1 ). 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 …”

Section: Resultsmentioning

confidence: 99%

Diagnostic performance of microRNAs in the detection of heart failure with reduced or preserved ejection fraction: a systematic review and meta‐analysis

Hosseinpour

¹

,

Moradi

²

,

Devaux

³

et al. 2022

European J of Heart Fail

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Aim Chronic heart failure (CHF) can be classified as heart failure with preserved ejection fraction (HFpEF) or with reduced ejection fraction (HFrEF). Currently, there is an unmet need for a minimally invasive diagnostic tool for different forms of CHF. We aimed to investigate the diagnostic potential of circulating microRNAs (miRNAs) for the detection of different CHF forms via a systematic review and meta‐analysis approach. Methods and results Comprehensive search on Medline, Web of Science, Scopus, and EMBASE identified 45 relevant studies which were used for qualitative assessment. Out of these, 29 studies were used for qualitative and quantitative assessment and allowed to identify a miRNA panel able to detect HFrEF and HFpEF with areas under the curve (AUC) of 0.86 and 0.79, respectively. A panel of eight miRNAs (hsa‐miR‐18b‐3p, hsa‐miR‐21‐5p, hsa‐miR‐22‐3p, hsa‐miR‐92b‐3p, hsa‐miR‐129‐5p, hsa‐miR‐320a‐5p, hsa‐miR‐423‐5p, and hsa‐miR‐675‐5p) detected HFrEF cases with a sensitivity of 0.85, specificity of 0.88 and AUC of 0.91. A panel of seven miRNAs (hsa‐miR‐19b‐3p, hsa‐miR‐30c‐5p, hsa‐miR‐206, hsa‐miR‐221‐3p, hsa‐miR‐328‐5p, hsa‐miR‐375‐3p, and hsa‐miR‐424‐5p) identified HFpEF cases with a sensitivity of 0.82 and a specificity of 0.61. Conclusions Although conventional biomarkers (N‐terminal pro‐B‐type natriuretic peptide and B‐type natriuretic peptide) presented a better performance in detecting CHF patients, the results presented here pointed towards specific miRNA panels with potential additive values to circulating natriuretic peptides in the diagnosis of different classes of CHF. Equally important, miRNAs alone showed a reasonable capacity for ‘ruling out’ patients with HFrEF or HFpEF. Additional studies with large populations are required to confirm the diagnostic potential of miRNAs for sub‐classes of CHF.

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“…The dysregulated miRNAs (miR-19b, miR-129-5p, miR-221-3p, miR-208a, etc.) may provide non-invasive biomarkers for the diagnosis and prognosis of HF ( 29 , 36 , 62 , 64 ). Therefore, the practicable detection methods are essential to ensure the accuracy and precision of miRNAs ( 86 ).…”

Section: Discussionmentioning

confidence: 99%

The microRNA Expression Profiling in Heart Failure: A Systematic Review and Meta-Analysis

Shen

¹

,

Wang

²

,

Fu

³

2022

Front. Cardiovasc. Med.

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BackgroundHeart failure (HF) is a main consequence of cardiovascular diseases worldwide. Abnormal expression levels of microRNAs (miRNAs) in HF are observed in current studies. Novel biomarkers miRNAs may play an important role in the development of HF. Nevertheless, the inconsistency of miRNA expression limits the clinical application. We thus perform this systematic review of the miRNAs expression profiling to identify potential HF biomarkers.MethodsThe electronic databases of Embase, Medline, and Cochrane Library were systematically searched to identify the miRNA expression profiles between HF subjects and non-HF controls before May 26th, 2021. The pooled results were shown as log10 odds ratios (logORs) with 95% confidence intervals (CI) using random-effect models. Subgroup analyses were conducted according to species, region, and sample source. The quality assessment of included studies was independently conducted based on Diagnostic Accuracy Study 2 (QUADAS-2). The sensitivity analysis was conducted based on sample size.ResultsA total of 55 miRNA expression articles reporting 276 miRNAs of HF were included. 47 consistently up-regulated and 10 down-regulated miRNAs were identified in the overall analysis, with the most up-regulated miR-21 (logOR 8.02; 95% CI: 6.76–9.27, P < 0.001) and the most down-regulated miR-30c (logOR 6.62; 95% CI: 3.04–10.20, P < 0.001). The subgroup analysis of sample source identified 35 up-regulated and 10 down-regulated miRNAs in blood sample, the most up-regulated and down-regulated miRNAs were miR-210-3p and miR-30c, respectively. In the region sub-groups, let-7i-5p and miR-129 were most up-regulated and down-regulated in Asian countries, while in non-Asian countries, let-7e-5p and miR-30c were the most dysregulated. It’s worth noting that miR-622 was consistently up-regulated in both Asian and non-Asian countries. Sensitivity analysis showed that 46 out of 58 (79.31%) miRNAs were dysregulated.ConclusionA total of 57 consistently dysregulated miRNAs related to HF were confirmed in this study. Seven dysregulated miRNAs (miR-21, miR-30c, miR-210-3p, let-7i-5p, miR-129, let-7e-5p, and miR-622) may be considered as potential non-invasive biomarkers for HF. However, further validation in larger-scale studies are needed to verify our conclusions.

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“…Circulating lncRNA could act as a prognostic factor for disease. In previous study, NEAT1 was reported as an unfavorable prognostic factor in chronic heart failure patients by log-rank test and ROC analysis [ 39 ]. Further, Chen et al also found that NEAT1 was an unfavorable factor in acute ST-segment elevation myocardial infarction by ROC analysis [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

lncRNA ROR and miR-125b Predict the Prognosis in Heart Failure Combined Acute Renal Failure

Xue

¹

,

Liu

²

,

Jia

³

et al. 2022

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Objective. To elucidate the correlation between expression levels of long noncoding RNA (lncRNA) ROR and microRNA-125b (miR-125b) with the prognosis in heart failure (HF) patients combined acute renal failure (ARF). Methods. HF patients combined ARF ( n = 90 ) and healthy controls ( n = 90 ) in the same period were included in our hospital from April 2016 to December 2018. Every subject was followed up for 24 months. Serum levels of lncRNA ROR and miR-125b were detected, and their expression correlation was analyzed by Pearson correlation test. Receiver operating characteristic (ROC) curves were depicted for assessing the sensitivity and specificity of lncRNA ROR and miR-125b in diagnosing HF combined ARF. Results. lncRNA ROR was upregulated in serum of HF patients combined ARF, and its level was positively correlated to NYHA classification. miR-125b displayed an opposite trend. In serum samples of HF combined ARF, expression level of lncRNA ROR was negatively related to that of miR-125b. Diagnostic potentials of lncRNA ROR and miR-125b in HF combined ARF were confirmed by ROC curve analyses (lncRNA ROR: AUC = 0.9199 , cutoff value = 5.595 , sensitivity = 92.22 % , and specificity = 73.33 % ; miR-125b: AUC = 0.8509 , cutoff value = 2.290 , sensitivity = 81.11 % , and specificity = 74.44 % ). After 2-year follow-up, 16 cases were dead. Higher incidences of death and rehospitalization were observed in HF combined ARF cases expressing higher serum level of lncRNA ROR or lower level of miR-125b. Conclusions. Serum level of lncRNA ROR is upregulated, and miR-125b is downregulated in HF patients combined ARF. Their levels are linked to NYHA classification, which can be utilized as prognostic biomarkers in HF combined ARF.

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Clinical significance of the long non‑coding RNA NEAT1/miR‑129‑5p axis in the diagnosis and prognosis for patients with chronic heart failure

Cited by 19 publications

References 38 publications

Diagnostic performance of microRNAs in the detection of heart failure with reduced or preserved ejection fraction: a systematic review and meta‐analysis

Diagnostic performance of microRNAs in the detection of heart failure with reduced or preserved ejection fraction: a systematic review and meta‐analysis

The microRNA Expression Profiling in Heart Failure: A Systematic Review and Meta-Analysis

lncRNA ROR and miR-125b Predict the Prognosis in Heart Failure Combined Acute Renal Failure

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