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Des Rosiers, C.

Publications and source records attributed to Des Rosiers, C..

7 recordsLinked to original sources

4,5-dihydroxyhexanoic acid is a robust circulating and urine marker of mitochondrial disease and its severity

Management of patients with mitochondrial respiratory chain diseases is challenging, in part because of our incomplete understanding of pathogenesis and a lack of biomarkers. Unknown metabolites account for >90% of detected features in modern metabolomics experiments and hold immense untapped promise for new basic and biomedical research. We recently used mass spectrometry-based metabolomics to identify and validate 19 circulating blood-based biomarkers for patients with the mitochondrial DNA (mtDNA) m.3243A>G pathogenic variant, which is the most frequent cause of the mitochondrial disorder MELAS (mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes). However, the most significantly changing biomarker corresponded to an "unknown" metabolite. Here, we combine cheminformatics with analytical chemistry and identify that feature as 4,5-dihydroxyhexanoic acid (4,5-DHHA), a metabolite previously associated with inherited defects of gamma-aminobutyric acid (GABA) catabolism, but with no prior links to mitochondrial respiratory chain disorders. We validate this finding in an independent MELAS cohort and further show that 4,5-DHHA levels correlate with disease severity and are elevated in patients with other forms of mitochondrial disease and sepsis. Furthermore, brain 4,5-DHHA levels were elevated in two genetic mouse models of mitochondrial disease. In vitro and tissue culture experiments indicate that 4,5-DHHA is generated when the GABA catabolite succinic semialdehyde reacts with an intermediate of the pyruvate dehydrogenase reaction and is sensitive to mitochondrial complex I function. Our work identifies 4,5-DHHA as a robust plasma and urine marker of mitochondrial dysfunction in humans and reveals new connections between the respiratory chain and GABA metabolism. Significance StatementInborn errors of the mitochondrial respiratory chain cause severe, progressive diseases, yet effective treatments and biomarkers remain limited. Modern metabolomics detects thousands of molecules in biofluids, but the vast majority are unidentified. In this study, we investigate the most significantly altered blood metabolite in patients with the most common mitochondrial disease - MELAS (mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes) - and identify it as an 4,5-dihydroxyhexanoic acid (4,5-DHHA). We show that 4,5-DHHA is reproducibly elevated and correlates with severity. Levels are increased across multiple mitochondrial disorders as well as in sepsis and rise when respiratory chain function is impaired. These findings establish 4,5-DHHA as a promising biomarker of mitochondrial dysfunction and reveal a link to dysregulated GABA metabolism.

biochemistry↗

Insights into Heart Failure Metabolite Markersthrough Explainable Machine Learning

Understanding molecular traits through metabolomics offers an avenue to tailor cardiovascular prevention, diagnosis and treatment strategies more effectively. This study focuses on the application of machine learning (ML) and explainable artificial intelligence (XAI) algorithms to detect discriminant molecular signatures in heart failure (HF). In this study, we aim to uncover metabolites with significant predictive value by analyzing targeted metabolomics data through ML models and XAI methodologies. After robust quality control procedures, we analyzed 55 metabolites from 124 plasma samples, including 53 HF patients and 71 controls, comparing Logistic Regression (Logit) models with Support Vector Machine (SVM) and eXtreme Gradient Boosting (XGB), all achieving high accuracy in predicting group labels: 84.20% ({sigma} =5.46), 85.73% ({sigma} =6.25), and 84.80% ({sigma} =7.84), respectively. Permutation-based variable importance and Local Interpretable Model-agnostic Explanations (LIME) were used for group-level and individual-level explainability, respectively, complemented by H-Friedman statistics for variable interactions, yielding reliable, explainable insights of the ML models. Metabolites well-known for their association with heart failure, such as glucose and cholesterol, but also more recently described association such C18:1 carnitine, were reaffirmed in our analysis. The novel discovery of lignoceric acid (C24:0 fatty acid) as a critical discriminator, was confirmed in a replication cohort, underscoring its potential as a metabolite marker. Furthermore, our study highlights the utility of 2-way variable interaction analysis in unveiling a network of metabolite interactions essential for accurate disease prediction. The results demonstrate our approachs efficacy in identifying key metabolites and their interactions, illustrating the power of ML and XAI in advancing personalized healthcare solutions. See Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/616718v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@d50da1org.highwire.dtl.DTLVardef@171d4d7org.highwire.dtl.DTLVardef@4c8aaaorg.highwire.dtl.DTLVardef@123c1ed_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

A NRF2/beta3-adrenoreceptor axis drives a sustained antioxidant and metabolic rewiring through the pentose-phosphate pathway to alleviate cardiac stress

BackgroundCardiac {beta}3-adrenergic receptors ({beta}3AR) are upregulated in diseased hearts and mediate antithetic effects to those of {beta}1AR and {beta}2AR. {beta}3AR agonists were recently shown to protect from myocardial remodeling in preclinical studies and to improve systolic function in patients with severe heart failure. The underlying mechanisms, however, remain elusive. MethodsTo dissect functional, transcriptional and metabolic effects, hearts and isolated ventricular myocytes from mice harboring a moderate, cardiac-specific expression of a human ADRB3 transgene ({beta}3AR-Tg) and subjected to transverse aortic constriction (TAC) were assessed using echocardiography, RNAseq, PET scan, metabolomics, seahorse and metabolic flux analysis. Subsequently, signaling and metabolic pathways were investigated further in vivo in {beta}3AR-Tg and in vitro in neonatal rat ventricular myocytes adenovirally infected to express {beta}3AR and subjected to neurohormonal stress. These results were completed with an analysis of single nucleus RNAseq data from human cardiac myocytes from heart failure patients. ResultsCompared with WT littermate, {beta}3AR-Tg mice were protected from hypertrophy after transaortic constriction (TAC), while systolic function was preserved. {beta}3AR-expressing hearts displayed enhanced myocardial glucose uptake under stress in absence of increased lactate levels. Instead, metabolomic and metabolic flux analyses in stressed hearts revealed an increase in intermediates of the Pentose-Phosphate Pathway (PPP) in {beta}3AR-Tg, an alternative route of glucose utilization, paralleled with increased transcript levels of NADPH-producing and rate-limiting enzymes of the PPP, without fueling the hexosamine metabolism. The ensuing increased content of NADPH and of reduced glutathione decreased myocyte oxidant stress, while downstream oxidative metabolism assessed by oxygen consumption was preserved with higher glucose oxidation in {beta}3AR-Tg post-TAC compared to WT, together with increased mitochondrial biogenesis. Unbiased transcriptomics and pathway analysis identified NRF2 (NFE2L2) as upstream transcription factor which was functionally verified in {beta}3AR-expressing cardiac myocytes where its translocation and nuclear activity was dependent on {beta}3AR activation of nitric-oxide synthase (NOS) NO production. ConclusionModerate expression of cardiac {beta}3AR, at levels observed in human cardiac myocardium, exerts antioxidant effects through activation of the PPP and NRF2 pathway, thereby preserving myocardial oxidative metabolism, function and integrity under pathophysiological stress.

physiology↗

Gene-metabolite annotation with shortest reactional distance enhances metabolite genome-wide association studies results

Studies combining metabolomics and genetics, known as metabolite genome-wide association studies (mGWAS), have provided valuable insights into our understanding of the genetic control of metabolite levels. However, the biological interpretation of these associations remains challenging due to a lack of existing tools to annotate mGWAS gene-metabolite pairs beyond the use of conservative statistical significance threshold. Here, we computed the shortest reactional distance (SRD) based on the curated knowledge of the KEGG database to explore its utility in enhancing the biological interpretation of results from three independent mGWAS, including a case study on sickle cell disease patients. Results show that, in reported mGWAS pairs, there is an excess of small SRD values and that SRD values and p-values significantly correlate, even beyond the standard conservative thresholds. The added-value of SRD annotation is shown for identification of potential false negative hits, exemplified by the finding of gene-metabolite associations with SRD [≤]1 that did not reach standard genome-wide significance cut-off. The wider use of this statistic as an mGWAS annotation would prevent the exclusion of biologically relevant associations and can also identify errors or gaps in current metabolic pathway databases. Our findings highlight the SRD metric as an objective, quantitative and easy-to-compute annotation for gene-metabolite pairs that can be used to integrate statistical evidence to biological networks.

systems biology↗

Depletion of LONP2 unmasks differential requirements for peroxisomal function between cell types and in cholesterol metabolism.

Peroxisomes play a central role in tuning metabolic and signaling programs in a tissue- and cell type-specific manner. However, the mechanisms by which the status of peroxisomes is communicated and integrated into cellular signaling pathways is not yet understood. Herein, we report the cellular responses to acute peroxisomal proteotoxic stress upon silencing the peroxisomal protease/chaperone LONP2. Depletion of LONP2 triggered accumulation of its substrates, alterations in peroxisome size and numbers, and luminal protein import failure. Gene expression changes and lipidomic analysis revealed striking cell specific differences in the response to siLONP2. Specific to COS-7 cells was a strong activation of the integrated stress response (ISR) and upregulation of ribosomal biogenesis gene expression levels. Common changes between COS-7 and U2OS cell lines included repression of the retinoic acid signaling pathway, and upregulation of sphingolipids. Cholesterol accumulated in the endomembrane compartments in both cell lines, consistent with evidence that peroxisomes are required for cholesterol flux out of late endosomes. These unexpected consequences of peroxisomal stress provide an important insight for our understanding of the tissue-specific responses seen in peroxisomal disorders.

cell biology↗

Very Long-Chain Unsaturated Sphingolipids Mediate Oleate-Induced Rat β-Cell Proliferation

Fatty-acid (FA) signaling contributes to {beta}-cell mass expansion in the face of nutrient excess, but the underlying mechanisms are poorly understood. Here we tested the hypothesis that sphingolipids, generated by the intracellular metabolism of FA, are implicated in the {beta}-cell proliferative response to FA. Isolated rat islets were exposed to individual FA in the presence of 16.7 mM glucose for 48 h and the contribution of the de novo sphingolipid synthesis pathway was tested using the serine palmitoyltransferase inhibitor myriocin, the sphingosine kinase (SphK) inhibitor SKI II, or adenovirus-mediated knockdown of SphK, fatty-acid-elongase-1 (ELOVL1) and acyl-CoA-binding protein (ACBP). Wistar rat were infused with glucose and the lipid emulsion ClinOleic and received SKI II by gavage. B-cell proliferation was assessed by immunochemistry or flow cytometry. Sphingolipidomic analyses were performed by LC-MS/MS. Amongst the various FA tested, only oleate increased {beta}-cell proliferation. Myriocin, SKI II, and SphK knockdown all decreased oleate-induced {beta}-cell proliferation. Oleate exposure did not increase the total amount of sphingolipids but led to a specific rise in 24:1 species. Knockdown of ACBP or ELOVL1 inhibited oleate-induced {beta}-cell proliferation. We conclude that unsaturated very long-chain sphingolipids produced from the available pool of C24:1 acyl-CoA mediate oleate-induced {beta}-cell proliferation in rats.

cell biology↗

14-3-3ζ regulates lipolysis by influencing adipocyte maturity

One of the primary metabolic functions of a mature adipocyte is to supply energy via lipolysis, or the catabolism of stored lipids. Hormone-sensitive lipase (HSL) is a critical lipolytic enzyme, and its phosphorylation and subsequent activation by PKA generates phospho-binding sites for 14-3-3 proteins, a ubiquitously expressed family of molecular scaffolds. While we previously identified essential roles of the 14-3-3{zeta} isoform in murine adipogenesis, the presence of 14-3-3 protein binding sites on HSL suggests that 14-3-3{zeta} could also influence mature adipocyte processes like lipolysis. Herein, we demonstrate that 14-3-3{zeta} is necessary for lipolysis in male mice and fully differentiated 3T3-L1 adipocytes, as depletion of 14-3-3{zeta} significantly impaired glycerol and FFA release. Unexpectedly, this was not due to impairments in signaling events underlying lipolysis; instead, reducing 14-3-3{zeta} expression was found to significantly impact adipocyte maturity, as observed by reduced abundance of PPAR{gamma}2 protein and expression of mature adipocytes genes and those associated with de novo triglyceride synthesis and lipolysis. The impact of 14-3-3{zeta} depletion on adipocyte maturity was further examined with untargeted lipidomics, which revealed that reductions in 14-3-3{zeta} abundance promoted the acquisition of a lipidomic signature that resembled undifferentiated, pre-adipocytes. Collectively, these findings reveal a novel aspect of 14-3-3{zeta} in adipocytes, as reducing 14-3-3{zeta} was found to have a negative effect on adipocyte maturity and adipocyte-specific processes like lipolysis.

physiology↗