Metabolic changes contribute to maladaptive right ventricular hypertrophy in pulmonary hypertension beyond pressure overload: an integrative imaging and omics investigation.

Right ventricular (RV) failure remains the strongest determinant of survival in pulmonary hypertension (PH). We aimed to identify relevant mechanisms, beyond pressure overload, associated with maladaptive RV hypertrophy in PH. To separate the effect of pressure overload from other potential mechanisms, we developed in pigs two experimental models of PH (M1, by pulmonary vein banding and M2, by aorto-pulmonary shunting) and compared them with a model of pure pressure overload (M3, pulmonary artery banding) and a sham-operated group. Animals were assessed at 1 and 8 months by right heart catheterization, cardiac magnetic resonance and blood sampling, and myocardial tissue was analyzed. Plasma unbiased proteomic and metabolomic data were compared among groups and integrated by an interaction network analysis. A total of 33 pigs completed follow-up (M1, n = 8; M2, n = 6; M3, n = 10; and M0, n = 9). M1 and M2 animals developed PH and reduced RV systolic function, whereas animals in M3 showed increased RV systolic pressure but maintained normal function. Significant plasma arginine and histidine deficiency and complement system activation were observed in both PH models (M1&M2), with additional alterations to taurine and purine pathways in M2. Changes in lipid metabolism were very remarkable, particularly the elevation of free fatty acids in M2. In the integrative analysis, arginine-histidine-purines deficiency, complement activation, and fatty acid accumulation were significantly associated with maladaptive RV hypertrophy. Our study integrating imaging and omics in large-animal experimental models demonstrates that, beyond pressure overload, metabolic alterations play a relevant role in RV dysfunction in PH.

Recent developments in data acquisition, treatment and analysis with ion mobility-mass spectrometry for lipidomics.

Lipids are involved in many biological processes and their study is constantly increasing. To identify a lipid among thousand requires of reliable methods and techniques. Ion Mobility (IM) can be coupled with Mass Spectrometry (MS) to increase analytical selectivity in lipid analysis of lipids. IM-MS has experienced an enormous development in several aspects, including instrumentation, sensitivity, amount of information collected and lipid identification capabilities. This review summarizes the latest developments in IM-MS analyses for lipidomics and focuses on the current acquisition modes in IM-MS, the approaches for the pre-treatment of the acquired data and the subsequent data analysis. Methods and tools for the calculation of Collision Cross Section (CCS) values of analytes are also reviewed. CCS values are commonly studied to support the identification of lipids, providing a quasi-orthogonal property that increases the confidence level in the annotation of compounds and can be matched in CCS databases. The information contained in this review might be of help to new users of IM-MS to decide the adequate instrumentation and software to perform IM-MS experiments for lipid analyses, but also for other experienced researchers that can reconsider their routines and protocols.

Neurons regulate the esterification of bioactive lipid mediators in the brain of acid sphingomyelinase deficient mice.

Acid sphingomyelinase deficiency is a neurodegenerative lysosomal storage disorder caused by mutations in the sphingomyelin-degrading enzyme acid sphingomyelinase (ASM) gene. Upregulated neuroinflammation has been well-characterized in an ASM knockout mouse model of acid sphingomyelinase deficiency disease, but lipid mediator pathways involved in 'mediating' inflammation and inflammation-resolution have yet to be characterized. In this study, we 1) measured free (bioactive) and esterified (inactive) lipid mediators involved in inflammation and inflammation resolution in cerebellum and neuronal cultures of ASM knockout (ASMko) mice and wildtype (WT) controls, and 2) quantified the esterification of labeled pro-resolving free d11-14(15)-epoxyeicosatrienoic acid in cultured neurons from ASMko and WT mice. We found elevated concentrations of esterified pro-resolving lipid mediators and hydroxyeicosatrienoic acids typically destined for pro-resolving lipid mediator synthesis (e.g. lipoxins) in the cerebellum and neurons of ASMko mice compared to controls. Free d11-14(15)-epoxyeicosatrienoic acid esterification within neurons of ASMko mice was significantly elevated compared to WT. Our findings show evidence of increased inactivation of free pro-resolving lipid mediators through esterification in ASMko mice, suggesting impaired resolution as a new pathway underlying ASM deficiency pathogenesis.

Integrating the potential of ion mobility spectrometry-mass spectrometry in the separation and structural characterisation of lipid isomers.

It is increasingly evident that a more detailed molecular structure analysis of isomeric lipids is critical to better understand their roles in biological processes. The occurrence of isomeric interference complicates conventional tandem mass spectrometry (MS/MS)-based determination, necessitating the development of more specialised methodologies to separate lipid isomers. The present review examines and discusses recent lipidomic studies based on ion mobility spectrometry combined with mass spectrometry (IMS-MS). Selected examples of the separation and elucidation of structural and stereoisomers of lipids are described based on their ion mobility behaviour. These include fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, and sterol lipids. Recent approaches for specific applications to improve isomeric lipid structural information using direct infusion, coupling imaging, or liquid chromatographic separation workflows prior to IMS-MS are also discussed, including: 1) strategies to improve ion mobility shifts; 2) advanced tandem MS methods based on activation of lipid ions with electrons or photons, or gas-phase ion-molecule reactions; and 3) the use of chemical derivatisation techniques for lipid characterisation.

Optimization of sample extraction and injection-related parameters in HILIC performance for polar metabolite analysis. Application to the study of a model of pulmonary hypertension.

HILIC is a separation technique increasingly used for the study of polar metabolites. However, HILIC suffers of a drawback related to the solvents used for these analyses: acetonitrile as sample solvent leads to the best chromatographic peaks, but it is not capable to extract/dissolve the most polar compounds. In this work we evaluated the use of several strategies for the extraction of polar compounds from plasma samples and, although methanol was the ideal solvent for analyte extraction, distorted peaks were obtained in the chromatography. Different strategies were tested included changing the solvent after extraction or modifying the injection volume and type. Finally, the best solution was using the lowest injection volume possible and to employ a simple sandwich injection including acetonitrile during the injection of the sample. This remarkably improves the peak shape when methanol is used in the sample. We evaluated and applied two HILIC-MS methods, in positive and negative ionization modes, on plasma samples from pigs with pulmonary hypertension produced by aorto-pulmonary shunting to identify metabolic signatures underlying damage to the right heart. Our analyses revealed altered relevant metabolic pathways, suggestive of oxidative stress and reduced energy demands.

Identification of a broad lipid repertoire associated to the endothelial cell protein C receptor (EPCR).

Evidence is mounting that the nature of the lipid bound to the endothelial cell protein C receptor (EPCR) has an impact on its biological roles, as observed in anticoagulation and more recently, in autoimmune disease. Phosphatidylethanolamine and phosphatidylcholine species dominate the EPCR lipid cargo, yet, the extent of diversity in the EPCR-associated lipid repertoire is still unknown and remains to be uncovered. We undertook mass spectrometry analyses to decipher the EPCR lipidome, and identified species not yet described as EPCR ligands, such as phosphatidylinositols and phosphatidylserines. Remarkably, we found further, more structurally divergent lipids classes, represented by ceramides and sphingomyelins, both in less abundant quantities. In support of our mass spectrometry results and previous studies, high-resolution crystal structures of EPCR in three different space groups point to a prevalent diacyl phospholipid moiety in EPCR's pocket but a mobile and ambiguous lipid polar head group. In sum, these studies indicate that EPCR can associate with varied lipid classes, which might impact its properties in anticoagulation and the onset of autoimmune disease.