Influence of prednisolone on parameters of de novo lipogenesis and indices for stearoyl-CoA- and Δ6- desaturase activity in healthy males: A Post-hoc analysis of a randomized, placebo-controlled, double-blind trial

De novo lipid synthesis in cardiovascular tissue and disease

Most tissues have the capacity for endogenous lipid synthesis. A crucial foundational pathway for lipid synthesis is de novo lipid synthesis (DNL), a ubiquitous and complex metabolic process that occurs at high levels in the liver, adipose and brain tissue. Under normal physiological conditions, DNL is vital in converting excess carbohydrates into fatty acids. DNL is linked to other pathways, including the endogenous synthesis of phospholipids and sphingolipids. However, abnormal lipid synthesis can contribute to various pathologies and clinical conditions. Experimental studies involving dietary restriction and in vivo genetic modifications provide compelling evidence demonstrating the significance of lipid synthesis in maintaining normal cardiovascular tissue function. Similarly, clinical investigations suggest altered lipid synthesis can harm cardiac and arterial tissues, thereby influencing cardiovascular disease (CVD) development and progression. Consequently, there is increased interest in exploring pharmacological interventions that target lipid synthesis metabolic pathways as potential strategies to alleviate CVD. Here we review the physiological and pathological impact of endogenous lipid synthesis and its implications for CVD. Since lipid synthesis can be targeted pharmacologically, enhancing our understanding of the molecular and biochemical mechanisms underlying lipid generation and cardiovascular function may prompt new insights into CVD and its treatment.

Objective biomarkers for clinical relapse in multiple sclerosis: a metabolomics approach

Accurate determination of relapses in multiple sclerosis is important for diagnosis, classification of clinical course and therapeutic decision making. The identification of biofluid markers for multiple sclerosis relapses would add to our current diagnostic armamentarium and increase our understanding of the biology underlying the clinical expression of inflammation in multiple sclerosis. However, there is presently no biofluid marker capable of objectively determining multiple sclerosis relapses although some, in particular neurofilament-light chain, have shown promise. In this study, we sought to determine if metabolic perturbations are present during multiple sclerosis relapses, and, if so, identify candidate metabolite biomarkers and evaluate their discriminatory abilities at both group and individual levels, in comparison with neurofilament-light chain. High-resolution global and targeted ¹H nuclear magnetic resonance metabolomics as well as neurofilament-light chain measurements were performed on the serum in four groups of relapsing-remitting multiple sclerosis patients, stratified by time since relapse onset: (i) in relapse (R); (ii) last relapse (LR) ≥ 1 month (M) to < 6 M ago; (iii) LR ≥ 6 M to < 24 M ago; and (iv) LR ≥ 24 M ago. Two hundred and one relapsing-remitting multiple sclerosis patients were recruited: R (n = 38), LR 1–6 M (n = 28), LR 6–24 M (n = 34), LR ≥ 24 M (n = 101). Using supervised multivariate analysis, we found that the global metabolomics profile of R patients was significantly perturbed compared to LR ≥ 24 M patients. Identified discriminatory metabolites were then quantified using targeted metabolomics. Lysine and asparagine (higher in R), as well as, isoleucine and leucine (lower in R), were shortlisted as potential metabolite biomarkers. ANOVA of these metabolites revealed significant differences across the four patient groups, with a clear trend with time since relapse onset. Multivariable receiver operating characteristics analysis of these four metabolites in discriminating R versus LR ≥ 24 M showed an area under the curve of 0.758, while the area under the curve for serum neurofilament-light chain was 0.575. Within individual patients with paired relapse–remission samples, all four metabolites were significantly different in relapse versus remission, with the direction of change consistent with that observed at group level, while neurofilament-light chain was not discriminatory. The perturbations in the identified metabolites point towards energy deficiency and immune activation in multiple sclerosis relapses, and the measurement of these metabolites, either singly or in combination, are useful as biomarkers to differentiate relapse from remission at both group and individual levels.