ArticleBioinformatics and biology insights2021
In Silico Integrative Approach Revealed Key MicroRNAs and Associated Target Genes in Cardiorenal Syndrome.
Article in Bioinformatics and biology insights, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 24 citations in OpenAlex.
- Unraveling Non-coding RNAs and dysregulation of TGF-β signalling in cardiorenal syndrome, a focused review for molecular and clinical applications.Molecular biology reports · 2025Review
- Cardiorenal syndrome: clinical diagnosis, molecular mechanisms and therapeutic strategies.Acta pharmacologica Sinica · 2025Review
- In silico medicine and -omics strategies in nephrology: contributions and relevance to the diagnosis and prevention of chronic kidney disease.Kidney research and clinical practice · 2025Article
- Astaxanthin Modulates Inflammation in Type 2 Diabetes via Regulation of microRNAs, Lysophosphatidylcholine, and α-Hydroxybutyrate.International journal of endocrinology · 2025Article
- Molecular remodeling in comorbidities associated with heart failure: a current update.Molecular biology reports · 2024Review
- Dysregulated Urinary Extracellular Vesicle Small RNAs in Diabetic Nephropathy: Implications for Diagnosis and Therapy.Journal of the Endocrine Society · 2024Article
- Cardiorenal Syndromes and Their Role in Water and Sodium Homeostasis.Physiological research · 2024Review
- New Insight into Mechanisms of Cardiovascular Diseases: An Integrative Analysis Approach to Identify TheranoMiRNAs.International journal of molecular sciences · 2023Article
- New Insight in Cardiorenal Syndrome: From Biomarkers to Therapy.International journal of molecular sciences · 2023Review
- The Molecular Mechanism and Therapeutic Strategy of Cardiorenal Syndrome Type 3.Reviews in cardiovascular medicine · 2023Review
- Progress and Challenges of Understanding Cardiorenal Syndrome Type 3.Reviews in cardiovascular medicine · 2023Review
- Molecular crosstalk between COVID-19 and Alzheimer's disease using microarray and RNA-seq datasets: A system biology approach.Frontiers in medicine · 2023Article
- Article
- Beyond the Cardiorenal Syndrome: Pathophysiological Approaches and Biomarkers for Renal and Cardiac Crosstalk.Diagnostics (Basel, Switzerland) · 2022Review
- Article
- Icariin and Competing Endogenous RNA Network: A Potential Protective Strategy Against Contrast-Induced Acute Kidney Injury.Drug design, development and therapy · 2022Article
- Article
- Cardiorenal Syndrome: New Pathways and Novel Biomarkers.Biomolecules · 2021Review
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiorenal syndromes constellate primary dysfunction of either heart or kidney whereby one organ dysfunction leads to the dysfunction of another. The role of several microRNAs (miRNAs) has been implicated in number of diseases, including hypertension, heart failure, and kidney diseases. Wide range of miRNAs has been identified as ideal candidate biomarkers due to their stable expression. Current study was aimed to identify crucial miRNAs and their target genes associated with cardiorenal syndrome and to explore their interaction analysis. Three differentially expressed microRNAs (DEMs), namely, hsa-miR-4476, hsa-miR-345-3p, and hsa-miR-371a-5p, were obtained from GSE89699 and GSE87885 microRNA data sets, using R/GEO2R tools. Furthermore, literature mining resulted in the retrieval of 15 miRNAs from scientific research and review articles. The miRNAs-gene networks were constructed using miRNet (a Web platform of miRNA-centric network visual analytics). CytoHubba (Cytoscape plugin) was adopted to identify the modules and the top-ranked nodes in the network based on Degree centrality, Closeness centrality, Betweenness centrality, and Stress centrality. The overlapped miRNAs were further used in pathway enrichment analysis. We found that hsa-miR-21-5p was common in 8 pathways out of the top 10. Based on the degree, 5 miRNAs, namely, hsa-mir-122-5p, hsa-mir-222-3p, hsa-mir-21-5p, hsa-mir-146a-5p, and hsa-mir-29b-3p, are considered as key influencing nodes in a network. We suggest that the identified miRNAs and their target genes may have pathological relevance in cardiorenal syndrome (CRS) and may emerge as potential diagnostic biomarkers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.