Evidence map›Paper›PMID 30894700›Full record

ReviewNature reviews. Nephrology2019

Epigenetics and epigenomics in diabetic kidney disease and metabolic memory.

Mitsuo Kato, Rama Natarajan

Abstract readReview
In one paragraph

Review in Nature reviews. Nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 366 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
366citing papers in PubMed, 4 pooled it
19.1field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

366 citing papers in PubMed, 4 syntheses or guidelines pooled it, 569 citations in OpenAlex.

  1. Pooled it
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  3. The efficacy and safety ofFrontiers in pharmacology · 2024
    Pooled it
  4. Lipid homeostasis in diabetic kidney disease.International journal of biological sciences · 2024
    Pooled it
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306 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Mitsuo KatoDepartment of Diabetes Complications and Metabolism, Diabetes Metabolism Research Institute, Beckman Research Institute of City of Hope, Duarte, CA, USA. mkato@coh.org.ORCID http://orcid.org/0000-0002-1783-1084
Rama NatarajanDepartment of Diabetes Complications and Metabolism, Diabetes Metabolism Research Institute, Beckman Research Institute of City of Hope, Duarte, CA, USA. rnatarajan@coh.org.ORCID http://orcid.org/0000-0003-4494-1788
City of Hope · US

Funding

Inflammatory Gene Transcription In Diabetic ConditionsR01DK065073 · NIDDK · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI NATARAJAN, RAMA · 2003 to 2021
$7.9M
Transcriptional Regulation by Angiotensin II in Vascular Smooth Muscle CellsR01HL106089 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2011 to 2024
$6.6M
Transforming growth factor beta1, microRNAs, lncRNA and diabetic nephropathyR01DK081705 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2009 to 2023
$6.1M
ROLE OF 12-LIPOXYGENASE IN DIABETIC NEPHROPATHYR01DK058191 · NIDDK · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI NATARAJAN, RAMA · 2001 to 2016
$5.3M
Epigenetic Markers of Complications and Metabolic Memory in the DCCT/EDIC cohort.DP3DK106917 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2015 to 2015
$2.2M
NHLBI NIH HHS R01 HL106089NIDDK NIH HHS DP3 DK106917NIDDK NIH HHS R01 DK058191NIDDK NIH HHS R01 DK065073NIDDK NIH HHS R01 DK081705
6 · The paper itself

Abstract

The development and progression of diabetic kidney disease (DKD), a highly prevalent complication of diabetes mellitus, are influenced by both genetic and environmental factors. DKD is an important contributor to the morbidity of patients with diabetes mellitus, indicating a clear need for an improved understanding of disease aetiology to inform the development of more efficacious treatments. DKD is characterized by an accumulation of extracellular matrix, hypertrophy and fibrosis in kidney glomerular and tubular cells. Increasing evidence shows that genes associated with these features of DKD are regulated not only by classical signalling pathways but also by epigenetic mechanisms involving chromatin histone modifications, DNA methylation and non-coding RNAs. These mechanisms can respond to changes in the environment and, importantly, might mediate the persistent long-term expression of DKD-related genes and phenotypes induced by prior glycaemic exposure despite subsequent glycaemic control, a phenomenon called metabolic memory. Detection of epigenetic events during the early stages of DKD could be valuable for timely diagnosis and prompt treatment to prevent progression to end-stage renal disease. Identification of epigenetic signatures of DKD via epigenome-wide association studies might also inform precision medicine approaches. Here, we highlight the emerging role of epigenetics and epigenomics in DKD and the translational potential of candidate epigenetic factors and non-coding RNAs as biomarkers and drug targets for DKD.

Indexed as

Blood GlucoseDiabetes MellitusDiabetic NephropathiesDisease ProgressionDNA MethylationEpigenesis, GeneticEpigenomicsGene-Environment InteractionHistone CodeHumansHypoglycemic AgentsKidney Failure, ChronicMolecular Targeted TherapyPrecision MedicineRenal Insufficiency, ChronicRNA, UntranslatedBlood GlucoseHypoglycemic AgentsRNA, Untranslated

Identifiers

PMID30894700
PMCPMC6889804
OpenAlexW2923237341

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.