Circulating Free Fatty Acid and Phospholipid Signature Predicts Early Rapid Kidney Function Decline in Patients With Type 1 Diabetes

Author:

Afshinnia Farsad1ORCID,Rajendiran Thekkelnaycke M.23,He Chenchen1,Byun Jaeman1,Montemayor Daniel45,Darshi Manjula45,Tumova Jana45,Kim Jiwan45,Limonte Christine P.67ORCID,Miller Rachel G.8ORCID,Costacou Tina8ORCID,Orchard Trevor J.8,Ahluwalia Tarunveer S.910,Rossing Peter1112ORCID,Snell-Bergeon Janet K.12,de Boer Ian H.6713,Natarajan Loki14,Michailidis George15,Sharma Kumar45,Pennathur Subramaniam1216ORCID

Affiliation:

1. Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI

2. Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI

3. Department of Pathology, University of Michigan, Ann Arbor, MI

4. Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX

5. Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX

6. Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA

7. Kidney Research Institute, University of Washington, Seattle, WA

8. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA

9. Steno Diabetes Center Copenhagen, Copenhagen, Denmark

10. Department of Biology, The Bioinformatics Center, University of Copenhagen, Copenhagen, Denmark

11. Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark

12. Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO

13. Puget Sound Veterans Affairs Healthcare System, Seattle, WA

14. Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science and Moores Cancer Center, University of California San Diego, La Jolla, CA

15. Department of Statistics and the Informatics Institute, University of Florida, Gainesville, FL

16. Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI

Abstract

OBJECTIVES Patients with type 1 diabetes (T1D) exhibit modest lipid abnormalities as measured by traditional metrics. This study aimed to identify lipidomic predictors of rapid decline of kidney function in T1D. RESEARCH DESIGN AND METHODS In a case-control study, 817 patients with T1D from three large cohorts were randomly split into training and validation subsets. Case was defined as >3 mL/min/1.73 m2 per year decline in estimated glomerular filtration rate (eGFR), while control was defined as <1 mL/min/1.73 m2 per year decline over a minimum 4-year follow-up. Lipids were quantified in baseline serum samples using a targeted mass spectrometry lipidomic platform. RESULTS At individual lipids, free fatty acid (FFA)20:2 was directly and phosphatidylcholine (PC)16:0/22:6 was inversely and independently associated with rapid eGFR decline. When examined by lipid class, rapid eGFR decline was characterized by higher abundance of unsaturated FFAs, phosphatidylethanolamine (PE)-Ps, and PCs with an unsaturated acyl chain at the sn1 carbon, and by lower abundance of saturated FFAs, longer triacylglycerols, and PCs, PEs, PE-Ps, and PE-Os with an unsaturated acyl chain at the sn1 carbon at eGFR ≥90 mL/min/1.73 m2. A multilipid panel consisting of unsaturated FFAs and saturated PE-Ps predicted rapid eGFR decline better than individual lipids (C-statistic, 0.71) and improved the C-statistic of the clinical model from 0.816 to 0.841 (P = 0.039). Observations were confirmed in the validation subset. CONCLUSIONS Distinct from previously reported predictors of GFR decline in type 2 diabetes, these findings suggest differential incorporation of FFAs at the sn1 carbon of the phospholipids’ glycerol backbone as an independent predictor of rapid GFR decline in T1D.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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