Evidence map›Paper›PMID 35215435›Full record

ArticleNutrients2022

Blood DNA Methylation Predicts Diabetic Kidney Disease Progression in High Fat Diet-Fed Mice.

Long T Nguyen, Benjamin P Larkin, Rosy Wang, Alen Faiz, Carol A Pollock, Sonia Saad

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Long T NguyenRenal Research Laboratory, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-0630-4959
Benjamin P LarkinRenal Research Laboratory, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW 2006, Australia.
Rosy WangRenal Research Laboratory, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW 2006, Australia.
Alen FaizSchool of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia.
Carol A PollockRenal Research Laboratory, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW 2006, Australia.
Sonia SaadRenal Research Laboratory, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW 2006, Australia.
The University of Sydney · AUUniversity of Technology Sydney · AU

Funding

Diabetes Australia Research Trust NARebecca L. Cooper Medical Research Foundation NA
6 · The paper itself

Abstract

Diabetic kidney disease (DKD) progresses at different rates among patients with type 2 diabetes mellitus (T2D). Early identification of patients with a higher risk of DKD progression is essential to improve prognosis. Epigenetic modifications, particularly DNA methylation, have been independently implicated in T2D and chronic kidney disease. The current study aimed to determine changes in blood DNA methylation that reflects and predicts DKD progression. C57BL/6 mice were fed a high-fat diet (HFD) from weaning and subclassified into two groups, HFD-1 and HFD-2, according to urinary kidney injury marker KIM-1/creatinine ratios (low vs. high) and histological abnormalities (mild-moderate vs. advanced). DNA methylation profiles were determined by reduced representative bisulfide sequencing (RRBS). Our results confirmed early and established DKD at week 9 and week 32, respectively. At week 32, advanced kidney injury was associated with dysregulation of methylation and demethylation enzymes in the kidney. Blood RRBS revealed 579 and 203 differentially methylated sites (DMS) between HFD-1 and HFD-2 animals at week 32 and week 9, respectively, among which 11 were common. The DMS in blood and kidney at week 32 were both related to organ development, neurogenesis, cell junction, and Wnt signalling, while the DMS in blood at week 9 suggested a specific enrichment of kidney development processes. In conclusion, our data strongly support the implication of early blood DNA methylation modifications and DKD progression in T2D that could be used to improve the disease's prognostication.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesAnimalsDiet, High-FatDisease ProgressionDNA MethylationKidneyMiceMice, Inbred C57BLbiomarkerchronic kidney diseasediabetesepigenetichigh-fat diet

Identifiers

PMID35215435
PMCPMC8880442
OpenAlexW4212836746

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.