ReviewJournal of cardiovascular translational research2012
Perspectives on systems biology applications in diabetic kidney disease.
Review in Journal of cardiovascular translational research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed.
- Single-cell RNA sequencing in diabetic kidney disease: a literature review.Renal failure · 2024Review
- Myricetin induces M2 macrophage polarization to alleviate renal tubulointerstitial fibrosis in diabetic nephropathyWorld journal of diabetes · 2024Article
- Association between gut microbiota and diabetic microvascular complications: a two-sample Mendelian randomization study.Frontiers in endocrinology · 2024Article
- Diabetes Mellitus and Hearing Loss: A Complex Relationship.Medicina (Kaunas, Lithuania) · 2023Review
- Insulin and the kidneys: a contemporary view on the molecular basis.Frontiers in nephrology · 2023Review
- Gene expression profiles of diabetic kidney disease and neuropathy in eNOS knockout mice: Predictors of pathology and RAS blockade effects.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Article
- Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome.Scientific reports · 2021Article
- Diabetic kidney diseases revisited: A new perspective for a new era.Molecular metabolism · 2019Review
- Epigenetics and epigenomics in diabetic kidney disease and metabolic memory.Nature reviews. Nephrology · 2019Review
- Diagnosis of diabetic kidney disease: state of the art and future perspective.Kidney international supplements · 2018Review
- Losartan Alleviates Renal Fibrosis and Inhibits Endothelial-to-Mesenchymal Transition (EMT) Under High-Fat Diet-Induced Hyperglycemia.Frontiers in pharmacology · 2018Article
- Fast renal decline to end-stage renal disease: an unrecognized feature of nephropathy in diabetes.Kidney international · 2017Review
- Genetics and Epigenetics of Diabetic Nephropathy.Kidney diseases (Basel, Switzerland) · 2015Review
- Diabetic nephropathy--emerging epigenetic mechanisms.Nature reviews. Nephrology · 2014Review
- From molecular signatures to predictive biomarkers: modeling disease pathophysiology and drug mechanism of action.Frontiers in cell and developmental biology · 2014Article
- Diabetic nephropathy: Is it time yet for routine kidney biopsy?World journal of diabetes · 2013Review
- The primary glomerulonephritides: a systems biology approach.Nature reviews. Nephrology · 2013Review
- Diabetic complications: current challenges and opportunities.Journal of cardiovascular translational research · 2012Article
- Management of anemia in patients with diabetic kidney disease: A consensus statement.Indian journal of endocrinology and metabolismReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Diabetic kidney disease (DKD) is a microvascular complication of type 1 and 2 diabetes with a devastating impact on individuals with the disease, their families, and society as a whole. DKD is the single most frequent cause of incident chronic kidney disease cases and accounts for over 40% of the population with end-stage renal disease. Contributing factors for the high prevalence are the increase in obesity and subsequent diabetes combined with an improved long-term survival with diabetes. Environment and genetic variations contribute to DKD susceptibility and progressive loss of kidney function. How the molecular mechanisms of genetic and environmental exposures interact during DKD initiation and progression is the focus of ongoing research efforts. The development of standardized, unbiased high-throughput profiling technologies of human DKD samples opens new avenues in capturing the multiple layers of DKD pathobiology. These techniques routinely interrogate analytes on a genome-wide scale generating comprehensive DKD-associated fingerprints. Linking the molecular fingerprints to deep clinical phenotypes may ultimately elucidate the intricate molecular interplay in a disease stage and subtype-specific manner. This insight will form the basis for accurate prognosis and facilitate targeted therapeutic interventions. In this review, we present ongoing efforts from large-scale data integration translating "-omics" research efforts into improved and individualized health care in DKD.
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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.