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Impaired fatty acid metabolism perpetuates lipotoxicity along the transition to chronic kidney injury
Anna Rinaldi, … , Pietro E. Cippà, Nicolas Pallet
Anna Rinaldi, … , Pietro E. Cippà, Nicolas Pallet
Published August 23, 2022
Citation Information: JCI Insight. 2022;7(18):e161783. https://doi.org/10.1172/jci.insight.161783.
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Research Article Nephrology Transplantation

Impaired fatty acid metabolism perpetuates lipotoxicity along the transition to chronic kidney injury

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Abstract

Energy metabolism failure in proximal tubule cells (PTCs) is a hallmark of chronic kidney injury. We combined transcriptomic, metabolomic, and lipidomic approaches in experimental models and patient cohorts to investigate the molecular basis of the progression to chronic kidney allograft injury initiated by ischemia/reperfusion injury (IRI). The urinary metabolome of kidney transplant recipients with chronic allograft injury and who experienced severe IRI was substantially enriched with long chain fatty acids (FAs). We identified a renal FA-related gene signature with low levels of carnitine palmitoyltransferase 2 (Cpt2) and acyl-CoA synthetase medium chain family member 5 (Acsm5) and high levels of acyl-CoA synthetase long chain family member 4 and 5 (Acsl4 and Acsl5) associated with IRI, transition to chronic injury, and established chronic kidney disease in mouse models and kidney transplant recipients. The findings were consistent with the presence of Cpt2–Acsl4+Acsl5+Acsm5– PTCs failing to recover from IRI as identified by single-nucleus RNA-Seq. In vitro experiments indicated that ER stress contributed to CPT2 repression, which, in turn, promoted lipids’ accumulation, drove profibrogenic epithelial phenotypic changes, and activated the unfolded protein response. ER stress through CPT2 inhibition and lipid accumulation engaged an auto-amplification loop leading to lipotoxicity and self-sustained cellular stress. Thus, IRI imprints a persistent FA metabolism disturbance in the proximal tubule, sustaining the progression to chronic kidney allograft injury.

Authors

Anna Rinaldi, Hélène Lazareth, Virginie Poindessous, Ivan Nemazanyy, Julio L. Sampaio, Daniele Malpetti, Yohan Bignon, Maarten Naesens, Marion Rabant, Dany Anglicheau, Pietro E. Cippà, Nicolas Pallet

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Figure 1

Urinary metabolome of KTRs after 3 and 12 months is enriched with long chain FAs.

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Urinary metabolome of KTRs after 3 and 12 months is enriched with long c...
(A) Dimension reduction by principal component analysis (PCA) of all the metabolites identified in the 498 KTR urine samples collected 3 and 12 months after kidney transplantation. The plot shows the 3D scores between the selected PCs that best explain the variance of metabolites. (B) Overall correlation heatmap between metabolites using Pearson’s r scores in the 498 KTR urine samples collected 3 and 12 months after kidney transplantation. (C) Heatmap showing hierarchical clustering using Ward’s algorithm for all the metabolites identified in 498 urine samples collected 3 and 12 months after kidney transplantation. Blue, red, and gray colors indicate the 3 distinct clusters of the largest size, including group A and B. (D) Significant metabolites identified by random forest classification between group A and B. Metabolite importance (top 15) is calculated by mean decrease in accuracy for classification between group A and group B. Number of trees = 500, out of bounds error rate = 0.152. Class error rate: group A = 0.28 and group B = 0.09. Features are ranked by the mean decrease in classification accuracy after permutation. Dark red indicates that a feature (a metabolite) is enriched in a group. (E) Distribution of variations in the difference in interstitial fibrosis (ci) and tubular atrophy (ct) Banff scores between month 12 and month 3 (M12 and M3), according to changes of groups identified by hierarchical clustering in B between M3 and M12. AM3 to AM12 group, n = 33; AM3 to BM12 group, n = 33; BM3 to BM12 group, n = 33. The box plots depict the minimum and maximum values (whiskers), the upper and lower quartiles, and the median. The length of the box represents the interquartile range. P values were computed with a 1-way ANOVA followed by a Dunnett’s multiple-comparison test. (F) Distribution of renal function (plasma creatinine) according to changes of groups identified by hierarchical clustering in B between M3 and M12. AM3 to AM12 group, n = 33; AM3 to BM12 group, n = 33; BM3 to BM12 group, n = 33. P values were computed with an ordinary 2-way ANOVA followed by a Dunnett’s multiple-comparison test.

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