Nephrology · Endocrinology ·
Multi-omics approaches highlight heterogeneity in diabetic kidney disease
A review describes how genomic and other molecular approaches are revealing biological subgroups of diabetic kidney disease (DKD). It argues that these methods may improve risk stratification and support precision therapies, but notes that validation, equitable representation and clinical implementation remain unresolved.
- DKD encompasses diverse biological and clinical patterns.
- Not all CKD in people with diabetes is DKD.
- Multi-omics may help define risk groups and disease endotypes.
- Clinical validation and implementation remain necessary.
Diabetic kidney disease is a major cause of kidney failure and excess morbidity and mortality. This review summarizes evidence that kidney disease in people with diabetes is not a single, uniform condition: some cases of chronic kidney disease have causes other than diabetes, while DKD itself reflects interacting metabolic, haemodynamic, inflammatory and genetic factors. Classification based mainly on estimated glomerular filtration rate or albuminuria may not capture this variation.
The authors discuss genomic, epigenomic, proteomic and metabolomic signatures, alongside polygenic scores, data-driven clustering and single-cell kidney atlases. These approaches are being used to identify disease endotypes, stratify risk, investigate mechanisms and explore variation in therapeutic response. The article does not report a new study population or quantitative results.
The review presents multi-omics as a potential basis for precision approaches to DKD, rather than an established clinical tool. The authors identify the need for further validation, more equitable representation and evidence that molecular findings can be implemented in care. The source is a preview of subscription content, and the supplied text does not provide details on methods or evidence selection.
Is this summary clinically accurate?
Help fellow clinicians: your rating sends inaccurate summaries straight to our editors.
Sign in to rate this summary →Source
Nature Reviews Nephrology: Genomic and multi-omic insights into the heterogeneity of diabetic kidney disease ↗This is an automated AI-condensed summary that has not yet been reviewed by an editor. Always consult the full item at the original source.