Data · dataset · 2026
<b>Blood-Derived DNA Methylation Biomarkers Predict Diabetic Kidney Disease and Map to Epigenomic Remodeling in Renal Cells</b>
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.2337/figshare.33467938.v1
<p dir="ltr"><a href="" target="_blank">Diabetic kidney disease (DKD) is a leading cause of end-stage kidney disease in type 1 diabetes (T1D), yet albuminuria and eGFR lack precision for early prognostication.
Description
We sought blood-derived DNA methylation biomarkers that predict DKD progression and reflect renal epigenomic remodeling. In the PROFIL cohort, we performed high-depth genome-wide methylation sequencing of leukocyte DNA from 101 adults with T1D and 20 non-diabetic controls, stratified by KDIGO risk and followed for a median of 5.6 years.
Differentially methylated regions were identified across baseline KDIGO strata and prioritised based on hypomethylation, ≥4 CpGs per region, and discrimination between KDIGO categories; their associations with eGFR decline and rising albumin excretion were then evaluated. From these candidates, we derived a four-locus Methylation Risk Score (MRS; <i>SLC4A4</i>, <i>FSTL4</i>, <i>ICA1</i>, <i>PTK2</i>), validated by targeted assays in an independent subset of 330 T1D participants with low or moderate KDIGO risk at baseline.
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T1D showed global loss of 5-methylcytosine with hypomethylated regions enriched at regulatory sites. In the discovery cohort, the combined MRS+clinical model discriminated baseline KDIGO moderate-risk and high/very-high-risk strata (AUC 0.91 and 0.86, respectively). In the independent validation cohort, the four-locus MRS predicted DKD progression within baseline LR and MR categories and improved risk stratification beyond clinical covariates including eGFR and albumin excretion.
In human podocytes, high glucose induced locus-specific hypomethylation, altered chromatin binding, and increased expression of MRS genes. These findings support a four-locus MRS for earlier, mechanistically grounded DKD risk stratification in T1D.</a></p>
Links
Where it is published
- DOI doi.org/10.2337/figshare.33467938.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Epigenetics · Epigenetics · Epigenetics · Life Sciences · Life Sciences · Life Sciences · Medicine & Health · Medicine & Health · Medicine & Health
- Inferred from text
- Disease 75% · Sequencing 75%
Provenance · 3 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/33467938 | 12 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/33467938 | 12 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/33467938 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:310504 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Epigenetics'] |
| concepts[field].anzsrc:field:310504 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Epigenetics'] |
| concepts[field].anzsrc:field:310504 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Epigenetics'] |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[modality].local:modality:sequencing | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |