ReviewAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2018
How Omics Data Can Be Used in Nephrology.
Review in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Changes in Novel AKI Biomarkers after Exercise. A Systematic Review.International journal of molecular sciences · 2020Pooled it
- Integrative multi-omics profiling for early diagnosis, stratification and personalized management of chronic kidney disease: a new paradigm.Clinical and experimental medicine · 2025Review
- AI-based pathomics in kidney diseases: progress and application.Renal failure · 2025Review
- Statistical consideration in nephrology research.Kidney research and clinical practice · 2025Article
- Using Large Genomic Biobanks to Generate Insights into Genetic Kidney Disease.Seminars in nephrology · 2025Review
- Isolation of Podocyte Cell Fractions From Mouse Kidney Using Magnetic Activated Cell Sorting (MACS).Bio-protocol · 2025Article
- 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
- Biomarker research for Henoch-Schönlein purpura nephritis based on "omics" techniques.Frontiers in medicine · 2025Review
- New approaches to acute kidney injury.Clinical kidney journal · 2024Article
- Integrated multi-omics with machine learning to uncover the intricacies of kidney disease.Briefings in bioinformatics · 2024Review
- Derangement in Nicotinamide Adenine Dinucleotide Metabolism is Observed During Acute Kidney Injury Among Male Agricultural Workers at Risk for Mesoamerican Nephropathy.Kidney international reports · 2024Article
- The Effect of L-Carnitine on Critical Illnesses Such as Traumatic Brain Injury (TBI), Acute Kidney Injury (AKI), and Hyperammonemia (HA).Metabolites · 2024Review
- Metabolome-wide Mendelian randomization reveals causal effects of betaine and N-acetylornithine on impairment of renal function.Frontiers in nutrition · 2024Article
- Biomarker-Development Proteomics in Kidney Transplantation: An Updated Review.International journal of molecular sciences · 2023Review
- Precision Medicine in Diabetic Kidney Disease: A Narrative Review Framed by Lived Experience.Canadian journal of kidney health and disease · 2023Review
- A Comprehensive Proteomics Analysis of Urinary Extracellular Vesicles Identifies a Specific Kinase Protein Profile as a Novel Hallmark of Medullary Sponge Kidney Disease.Kidney international reports · 2022Article
- Omics-based biomarkers for diagnosis and prediction of kidney allograft rejection.The Korean journal of internal medicine · 2022Review
- Mendelian Randomization Analysis as a Tool to Gain Insights into Causes of Diseases: A Primer.Journal of the American Society of Nephrology : JASN · 2021Review
- Article
- Proteomic Analysis of Renal Biomarkers of Kidney Allograft Fibrosis-A Study in Renal Transplant Patients.International journal of molecular sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Advances in technology and computing now permit the high-throughput analysis of multiple domains of biological information, including the genome, transcriptome, proteome, and metabolome. These omics approaches, particularly comprehensive analysis of the genome, have catalyzed major discoveries in science and medicine, including in nephrology. However, they also generate large complex data sets that can be difficult to synthesize from a clinical perspective. This article seeks to provide an overview that makes omics technologies relevant to the practicing nephrologist, framing these tools as an extension of how we approach patient care in the clinic. More specifically, omics technologies reinforce the impact that genetic mutations can have on a range of kidney disorders, expand the catalogue of uremic molecules that accumulate in blood with kidney failure, enhance our ability to scrutinize urine beyond urinalysis for insight on renal pathology, and enable more extensive characterization of kidney tissue when a biopsy is performed. Although assay methodologies vary widely, all omics technologies share a common conceptual framework that embraces unbiased discovery at the molecular level. Ultimately, the application of these technologies seeks to elucidate a more mechanistic and individualized approach to the diagnosis and treatment of human disease.
Indexed as
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What OpenQuestion holds
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.