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Lipidomics unveils lipid dyshomeostasis and low circulating plasmalogens as biomarkers in a monogenic mitochondrial disorder
Matthieu Ruiz, Alexanne Cuillerier, Caroline Daneault, Sonia Deschênes, Isabelle Robillard Frayne, Bertrand Bouchard, Anik Forest, Julie Thompson Legault, The LSFC Consortium, Frederic M. Vaz, John D. Rioux, Yan Burelle, Christine Des Rosiers
Matthieu Ruiz, Alexanne Cuillerier, Caroline Daneault, Sonia Deschênes, Isabelle Robillard Frayne, Bertrand Bouchard, Anik Forest, Julie Thompson Legault, The LSFC Consortium, Frederic M. Vaz, John D. Rioux, Yan Burelle, Christine Des Rosiers
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Research Article Cell biology Metabolism

Lipidomics unveils lipid dyshomeostasis and low circulating plasmalogens as biomarkers in a monogenic mitochondrial disorder

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Abstract

Mitochondrial dysfunction characterizes many rare and common age-associated diseases. The biochemical consequences, underlying clinical manifestations, and potential therapeutic targets, remain to be better understood. We tested the hypothesis that lipid dyshomeostasis in mitochondrial disorders goes beyond mitochondrial fatty acid β-oxidation, particularly in liver. This was achieved using comprehensive untargeted and targeted lipidomics in a case-control cohort of patients with Leigh syndrome French-Canadian variant (LSFC), a mitochondrial disease caused by mutations in LRPPRC, and in mice harboring liver-specific inactivation of Lrpprc (H-Lrpprc–/–). We discovered a plasma lipid signature discriminating LSFC patients from controls encompassing lower levels of plasmalogens and conjugated bile acids, which suggest perturbations in peroxisomal lipid metabolism. This premise was reinforced in H-Lrpprc–/– mice, which compared with littermates recapitulated a similar, albeit stronger peroxisomal metabolic signature in plasma and liver including elevated levels of very-long-chain acylcarnitines. These mice also presented higher transcript levels for hepatic markers of peroxisome proliferation in addition to lipid remodeling reminiscent of nonalcoholic fatty liver diseases. Our study underscores the value of lipidomics to unveil unexpected mechanisms underlying lipid dyshomeostasis ensuing from mitochondrial dysfunction herein implying peroxisomes and liver, which likely contribute to the pathophysiology of LSFC, but also other rare and common mitochondrial diseases.

Authors

Matthieu Ruiz, Alexanne Cuillerier, Caroline Daneault, Sonia Deschênes, Isabelle Robillard Frayne, Bertrand Bouchard, Anik Forest, Julie Thompson Legault, The LSFC Consortium, Frederic M. Vaz, John D. Rioux, Yan Burelle, Christine Des Rosiers

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Figure 1

Untargeted and targeted lipidomics unveil major plasma lipid dyshomeostasis, including lower circulating plasmalogen levels in LSFC patients.

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Untargeted and targeted lipidomics unveil major plasma lipid dyshomeosta...
(A) Volcano plot from LC-QTOF–based untargeted lipidomics of plasma from fasted LSFC and control subjects (n = 9/group) depicting the 2,052 features obtained following MS data processing. The x axis corresponds to fold changes (FCs) of MS signal intensity values for all these features in LSFC patients vs. control (log2) and the y axis to P values (–log10). Using a corrected P value (P-corr) threshold of 0.2 (corresponding to an uncorrected P value of 0.0034; horizontal red dotted line) and an FC >1.35 or <0.74 (vertical red dotted lines), 29 features significantly discriminated LSFC patients from controls, of which 19 were increased (red dots) and 10 decreased (green dots). See also Supplemental Table 1 for the list of lipids identified by MS/MS with FCs and P values (unpaired Student’s t test followed by Benjamini-Hochberg correction). (B) Dot plot of 13 selected lipids significantly discriminating LSFC patients from controls and identified by MS/MS using LC-QTOF. Each dot represents a log2-transformed patient/matched control signal intensity ratio (n = 9) for the indicated lipid (sub)classes with their acyl side chain(s) — (i) 2 acylcarnitines (ACs): AC16:1 and AC18:1, (ii) 7 glycerolipids: triacylglycerol (TG) and diacylglycerol (DG), (iii) 1 cholesteryl ester (CE), (iv) 4 plasmalogens: lysophosphatidylcholine (LPC) plasmalogens (LPC-O) and phosphatidylcholine plasmalogens (PC-O). The underscore symbol “_” beside the acyl side chain for TGs refers to acyl chains for which the sn position remains to be ascertained. (C) Box plots of LC-QQQ–based lipidomic analysis of plasmalogens, 21 of which were detected in plasma from LSFC patients (gray; n = 9) and controls (white; n = 9): 2 LPC-O, 15 PC-O, and 4 phosphatidylethanolamine (PE) plasmalogens (PE-O). Statistics using paired Student’s t test: *P < 0.05, **P < 0.01 before and $P-corr < 0.05 after Benjamini-Hochberg correction. See also Supplemental Figure 1, A–C, for corresponding plots of results obtained in the nutrient-uptake challenge condition.

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