The Impact of Omega Fatty Acids on DKD: A Multimodal Study Integrating Mendelian Randomization, Proteomic Mediation Analysis, and Meta-Analysis
In brief
Higher omega-3 levels cut diabetic kidney disease risk by about 13%
Genetic analysis shows that each standard-deviation increase in plasma omega-3 lowers the odds of diabetic kidney disease by roughly 13%, while omega-6 has no effect. A meta-analysis of 12 trials found omega-3 supplements improve triglycerides, systolic blood pressure and a kidney injury marker, but do not change albumin-creatinine ratio or eGFR. Further work is needed to confirm a protective role in routine care.
- Journal
- FASEB journal : official publication of the Federation of American Societies for Experimental Biology (Q1)
- Published
- 31 July 2026
- Study design
- Systematic review / meta-analysis of RCTs
- Evidence level
- Level 1, High (CEBM 1a)
- Authors
- Li Zhang, Meiyan Wu, Tingting Pan, Dan Dong, Shuai Xue
- PMID
- 42517346
- DOI
- 10.1096/fj.202601523R
Why clinicians should know about it
- Picked for Biochemistry (medical) (top studies of the week, 2 August 2026).
- Picked for Endocrinology, Diabetes and Metabolism (top studies of the week, 2 August 2026).
- Picked for Nephrology (top studies of the week, 2 August 2026).
- Picked for Urology (top studies of the week, 2 August 2026): Omega‑3 reduces DKD risk; meta‑analysis of RCTs confirms renal benefits
Abstract
Diabetic kidney disease (DKD), a significant microvascular complication of diabetes, is escalating the global disease burden. Research suggests free fatty acids, particularly specific polyunsaturated fatty acids, may influence DKD development and progression through anti-inflammatory and antioxidant mechanisms. However, existing evidence remains controversial, and the precise underlying mechanisms are still unclear. We performed a two-sample Mendelian randomization (MR) analysis leveraging genome-wide association study data and plasma proteomic panels. A two-step protein-mediated MR framework and Reactome pathway enrichment were employed to identify mediators and elucidate biological pathways. Subsequently, we conducted a meta-analysis of clinical studies to comprehensively evaluate the impact of omega-3 supplementation on DKD patients. Genetically predicted higher plasma omega-3 fatty acid levels were causally associated with reduced DKD risk (odds ratio [OR] = 0.869, 95% confidence interval [CI]: 0.772-0.978, p = 0.020), while omega-6 fatty acids showed no significant causal association (OR = 0.895, 95% CI: 0.731-1.096, p = 0.283). Fourteen plasma proteins showed nominally significant evidence of partial mediation, with consistent mediation directions and mediation proportions ranging from 2.10% to 29.80%. Potential mediators included neuronal pentraxin-2, hemoglobin subunit theta-1, and periostin. Enrichment analysis highlighted Notch signaling, apoptosis regulation, and chronic inflammatory pathways as core processes. Meta-analysis of 12 randomized controlled trials (474 participants) showed that omega-3 supplementation significantly reduced triglycerides (mean difference [MD] = -0.27 mmol/L, 95% CI: -0.35 to -0.20, p < 0.00001), systolic blood pressure (MD = -4.50 mmHg, 95% CI: -7.57 to -1.42, p = 0.004), and kidney injury molecule-1 (MD = -1.74 pg/mL, 95% CI: -2.58 to -0.89, p < 0.0001), while increasing high-density lipoprotein cholesterol (MD = 0.14 mmol/L, 95% CI: 0.04-0.23, p = 0.004). No significant improvements in albumin-to-creatinine ratio or estimated glomerular filtration rate were observed. Genetic evidence demonstrates that elevated omega-3 fatty acid levels may causally reduce DKD risk, with this protective effect possibly partially mediated by plasma proteins. The meta-analysis findings confirm that omega-3 supplementation effectively ameliorates lipid profiles, systolic blood pressure, and early renal impairment in DKD cases. Dietary omega-3 supplementation may offer a protective effect against DKD, though this association requires further validation.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.