ArticleMethods (San Diego, Calif.)2017
Co-expression analysis among microRNAs, long non-coding RNAs, and messenger RNAs to understand the pathogenesis and progression of diabetic kidney disease at the genetic level.
Article in Methods (San Diego, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Panel miRNAs are potential diagnostic markers for chronic kidney diseases: a systematic review and meta-analysis.BMC nephrology · 2024Pooled it
- MicroRNAs Associated with Chronic Kidney Disease in the General Population and High-Risk Subgroups-A Systematic Review.International journal of molecular sciences · 2023Pooled it
- The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review andFrontiers in endocrinology · 2021Pooled it
- The role of lncRNAs in regulation of DKD and diabetes-related cancer.Frontiers in oncology · 2022Review
- Long non-cording RNA XIST promoted cell proliferation and suppressed apoptosis by miR-423-5p/HMGA2 axis in diabetic nephropathy.Molecular and cellular biochemistry · 2021Article
- Elevated HDL-bound miR-181c-5p level is associated with diabetic vascular complications in Australian Aboriginal people.Diabetologia · 2021Article
- A comprehensive competitive endogenous RNA network pinpoints key molecules in diabetic retinopathy.Molecular medicine reports · 2019Article
- microRNA Crosstalk Influences Epithelial-to-Mesenchymal, Endothelial-to-Mesenchymal, and Macrophage-to-Mesenchymal Transitions in the Kidney.Frontiers in pharmacology · 2019Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Diabetic kidney disease (DKD) is a serious disease that presents a major health problem worldwide. There is a desperate need to explore novel biomarkers to further facilitate the early diagnosis and effective treatment in DKD patients, thus preventing them from developing end-stage renal disease (ESRD). However, most regulation mechanisms at the genetic level in DKD still remain unclear. In this paper, we describe our innovative methodologies that integrate biological, computational, and statistical approaches to investigate important roles performed by regulations among microRNAs (miRs), long non-coding RNAs (lncRNAs), and messenger RNAs (mRNAs) in DKD. We conducted fully transparent, rigorously designed experiments. Our robust and reproducible results identified hsa-miR-223-3p as a candidate novel biomarker performing important roles in DKD disease process.
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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.