Serum lipids profiling perturbances in patients with ischemic heart disease and ischemic cardiomyopathy

[Relationship between lipid metabolism molecules in plasma and carotid atheroscle-rotic plaques, traditional cardiovascular risk factors, and dietary factors]

OBJECTIVE

To explore the relationship between lipid metabolism molecules in plasma and carotid atherosclerotic plaques, traditional cardiovascular risk factors and possible dietary related factors.

METHODS

Firstly, among 1 312 community people from those who participated in a 10-year follow-up study of subclinical atherosclerosis cohort in Shijingshan District, Beijing, 85 individuals with 2 or more carotid soft plaques or mixed plaques and 89 healthy individuals without plaques were selected according to the inclusive and the exclusive criteria (< 70 years, not having clinical cardiovascular disease and other diseases, etc.). Secondly, 10 cases and 10 controls were randomly selected in the above 85 and 89 individuals respectively. Carotid plaques were detected using GE Vivid i Ultrasound Machine with 8L detector. Lipid metabolism molecules were detected by high performance liquid chromatography-mass spectrometry. The detection indexes included 113 lipid metabolism molecules. Traditional cardiovascular risk factors were collected by unified standard questionnaires, and dietary related factors were collected by main dietary frequency and weight scale. The difference of lipid metabolism molecules between the case group and the control group was analyzed by Wilcoxin rank test. In the control group, the Spearman correlation method was used to analyze the correlation between statistically significant lipid metabolism molecules and traditional cardiovascular risk factors and dietary factors.

RESULTS

Among the 113 lipid metabolism molecules, 53 lipid metabolism molecules were detected. C24:0 sphingomyelin (SM), C22:0/ C24:0 ceramide molecules, C18:0 phosphoethanolamine (PE) molecules, and C18:0/C18:2 (Cis) phosphatidylcholine (PC) were significantly higher in the carotid atherosclerotic plaque group than in the control group. The correlation analysis showed that C24:0 SM was significantly positively correlated with low density lipoprotein cholesterol (LDL-C, r=0.636, P < 0.05), C18:2 (Cis) PC (DLPC) was significantly positively correlated with systolic pressure (r=0.733, P < 0.05), C18:0 PE was significantly positively correlated with high sensitivity C-response protein (r=0.782, P < 0.01), C22:0, C24:0 ceramide and C18:0 PE were negatively correlated with vegetable intake (r=-0.679, P < 0.05;r=-0.711, P < 0.05;r=-0.808, P < 0.01), C24:0 ceramide was also negatively correlated with beans food intake (r=-0.736, P < 0.05) in the control group.

CONCLUSIONS

The increase of plasma C24:0 SM, C22:0, C24:0 ceramide, C18:0 PE, C18:2 (Cis) PC (DLPC), C18:0 PC (DSPC) may be new risk factors for human atherosclerotic plaques. These molecules may be related to blood lipid, blood pressure or inflammatory level and the intake of vegetables and soy products, but the nature of the association needs to be verified in a larger sample population.

Lagopsis supina ameliorates myocardial ischemia injury by regulating angiogenesis, thrombosis, inflammation, and energy metabolism through VEGF, ROS and HMGB1 signaling pathways in rats

BACKGROUND

Lagopsis supina (Steph. ex. Willd.) Ikonn.-Gal. is an important traditional Chinese medicine used to treat various ailments. However, its impact on myocardial ischemia (MI) injury remains unknown.

PURPOSE

This research aimed to reveal the therapeutic effect, potential mechanism, and metabolomics of L. supina against MI injury in rats.

METHODS

The therapeutic effects of the ethanolic extract of L. supina (LS) and its four fractions (LSA∼D) on a left anterior descending (LAD) artery occlusion-induced MI model rat were explored. The pharmacodynamics including myocardial infraction area, myocardial tissue pathology and apoptosis, and serum biochemical parameters (CK, CK-MB, CTn-T, SOD, ET-1, NO, eNOS, VEGF, TXB2, 6-keto-PGF1α, TNF-α, IL-6, and CRP) were evaluated. The 24 related protein expressions were detected using western blotting assay. Simultaneously, the qualitative and quantitative analyses of microporous adsorption resin with 30% (LSC) and 60% (LSD) aqueous ethanol fractions were performed using UHPLC-MS and HPLC. Moreover, the serum metabolomics analysis of rats was profiled using UHPLC-MS.

RESULTS

LS exerted remarkable alleviating effect on MI in rats. Importantly, LSC and LSD, two effective fractions of LS, significantly reduced myocardial infraction area, alleviated myocardial tissue pathology and apoptosis, regulated serum biochemical parameters. Furthermore, LSC and LSD markedly up-regulated the levels of VEGF-A, VEGFR-2, PKC, Bcl-2, Nrf2, HO-1, and thrombin, as well as prominently down-regulated the protein expression of Notch 1, p-PI3K, p-PI3K/PI3K, p-Akt, p-Akt/Akt, Bax, cleaved-caspase-3, cleaved-caspase-3/caspase-3, vWF, p-Erk, p-Erk/Erk, HMGB1, p-p38, p-p38/p38, p-p65, and p-p65/p65. A total of 26 candidate biomarkers were significantly regulated by LSC and LSD and they are mainly involved in amino acid metabolism, glycerophospholipid metabolism, and sphingolipid metabolism. Finally, phenylethanols and flavonoids may be major bio-constituents of LSC and LSD against MI.

CONCLUSIONS

This work, for the first time, demonstrated that L. supina had a significant therapeutic effect on MI in rats. Additionally, LSC and LSD, two bio-fractions from L. supina, exerted their potential to ameliorate MI injury by promoting angiogenesis, inhibiting thrombosis, blocking inflammation, and facilitating energy metabolism through promotion of VEGF pathway, as well as suppression of ROS and HMGB1 pathways in rats. These findings suggest that LSC and LSD hold promise as potential therapeutic agents for MI injury in clinical application.

A miniaturized comprehensive approach for total lipidome analysis and vitamin D metabolite quantification in human serum

The balance between the different lipid molecules present in biological fluids accurately reflects the health state of the organism and can be used by medical personnel to finely tune therapy to a single patient, a process known as precision medicine. In this work, we developed a miniaturized workflow for the analysis of different lipid classes at the intact level, as well as their fatty acid constituents, starting from human serum. Fatty acids were identified by using flow-modulated comprehensive gas chromatography coupled to mass spectrometry (FM-GC × GC-MS), and their relative amount as well as the ratio of specific FA classes was determined by using FM-GC × GC with a flame ionization detector. Ultra-high-performance liquid chromatography coupled to tandem mass spectrometry was used for the simultaneous quantification of vitamin D metabolites and assessment of different intact lipid classes. An MRM method was developed for the quantification of five vitamin D metabolites (vitamin D2, vitamin D3, 25-hydroxyvitamin D2, 25-hydroxyvitamin D3, 24R,25-dihydroxyvitamin D3), and validated in terms of LoD, LoQ, accuracy, and precision, also using a certified reference material. At the same time, a combination of SCAN, precursor ion scan, and neutral loss scan, in both positive and negative modes, was used for the identification of 81 intact lipid species, such as phospholipids, cholesteryl esters, and triacylglycerols, in less than 25 min. In order to easily monitor the lipid composition and speed up the identification process, a two-dimensional map of the lipidome was generated, by plotting the molecular weight of the identified molecules versus their retention time. Moreover, a relative quantification was performed within each lipid class identified. The combination of untargeted and targeted data could provide useful information about the pathophysiological condition of the organism and evaluate, in a tailored manner, an efficient action.

The impact of hypertension for metabolites in patients with acute coronary syndrome

Background

Acute coronary syndrome (ACS) is one of the leading causes of death and is often accompanied by hypertension.

Methods

We investigated whether hypertension affects the metabolism of patients with ACS. Serum samples were provided from healthy controls (HCs; n=26), patients with ACS (n=20), or those patients with ACS complicated with hypertension (HTN, n=21), and all were subjected to non-targeted metabolomics analyses based on gas chromatography-mass spectrometry (GC/MS). Differential metabolites were screened using principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal partial least squares discriminant analysis (OPLS-DA). Kyoto Encyclopedia of Genes and Genomes (KEGG) provided metabolic pathways related to these metabolites.

Results

Compared to those in the HC group, 12 metabolites were significantly upregulated and 6 significantly downregulated in the ACS group; among these, L-cystine and isocitric acid showed the most obvious differences, respectively. Compared to those in the ACS group, 3 metabolites were significantly upregulated and 2 metabolites were significantly downregulated in the ACS-HTN group, among which oleic acid and chenodeoxycholic acid showed the most marked difference, respectively. The five most prominent metabolic pathways involved in differential metabolites between the ACS and HC groups were arginine biosynthesis; oxidative phosphorylation; alanine, aspartate and glutamate metabolism; citrate cycle; and glucagon signaling pathway. The metabolic pathways between the ACS and ACS-HTN groups were steroid biosynthesis, fatty acid biosynthesis, arginine biosynthesis, primary bile acid biosynthesis, and tyrosine metabolism.

Conclusions

A comprehensive study of the changes in circulatory metabolomics and the influence of HTN was conducted in patients with ACS. A serum metabolomics test can be used to identify differentially metabolized molecules and allow the classification of patients with ACS or those complicated with HTN.

Temporal lipid profiling in the progression from acute to chronic heart failure in mice and ischemic human hearts

BACKGROUND AND AIMS

Myocardial infarction (MI) is a leading cause of heart failure (HF). After MI, lipids undergo several phasic changes implicated in cardiac repair if inflammation resolves on time. However, if inflammation continues, that leads to end stage HF progression and development. Numerous studies have analyzed the traditional risk factors; however, temporal lipidomics data for human and animal models are limited. Thus, we aimed to obtain sequential lipid profiling from acute to chronic HF.

METHODS

Here, we report the comprehensive lipidome of the hearts from diseased and healthy subjects. To induce heart failure in mice, we used a non-reperfused model of coronary ligation, and MI was confirmed by echocardiography and histology, then temporal kinetics of lipids in different tissues (heart, spleen, kidney), and plasma was quantitated from heart failure mice and compared with naïve controls. For lipid analysis in mouse and human samples, untargeted liquid chromatography-linear trap quadrupole orbitrap mass spectrometry (LC-LTQ-Orbitrap MS) was performed.

RESULTS

In humans, multivariate analysis revealed distinct cardiac lipid profiles between healthy and ischemic subjects, with 16 lipid species significantly downregulated by 5-fold, mainly phosphatidylethanolamines (PE), in the ischemic heart. In contrast, PE levels were markedly increased in mouse tissues and plasma in chronic MI, indicating possible cardiac remodeling. Further, fold change analysis revealed site-specific lipid biomarkers for acute and chronic HF. A significant decrease in sulfatides (SHexCer (34:1; 2O)) and sphingomyelins (SM (d18:1/16:0)) was observed in mouse tissues and plasma in chronic HF.

CONCLUSIONS

Overall, a significant decreased lipidome in human ischemic LV and differential lipid metabolites in the transition of acute to chronic HF with inter-organ communication could provide novel insights into targeting integrative pathways for the early diagnosis or development of novel therapeutics to delay/prevent HF.

Genetic Architecture of Untargeted Lipidomics in Cardiometabolic-Disease Patients Combines Strong Polygenic Control and Pleiotropy

Analysis of the genetic control of small metabolites provides powerful information on the regulation of the endpoints of genome expression. We carried out untargeted liquid chromatography−high-resolution mass spectrometry in 273 individuals characterized for pathophysiological elements of the cardiometabolic syndrome. We quantified 3013 serum lipidomic features, which we used in both genome-wide association studies (GWAS), using a panel of over 2.5 M imputed single-nucleotide polymorphisms (SNPs), and metabolome-wide association studies (MWAS) with phenotypes. Genetic analyses showed that 926 SNPs at 551 genetic loci significantly (q-value < 10−8) regulate the abundance of 74 lipidomic features in the group, with evidence of monogenic control for only 22 of these. In addition to this strong polygenic control of serum lipids, our results underscore instances of pleiotropy, when a single genetic locus controls the abundance of several distinct lipid features. Using the LIPID MAPS database, we assigned putative lipids, predominantly fatty acyls and sterol lipids, to 77% of the lipidome signals mapped to the genome. We identified significant correlations between lipids and clinical and biochemical phenotypes. These results demonstrate the power of untargeted lipidomic profiling for high-density quantitative molecular phenotyping in human-genetic studies and illustrate the complex genetic control of lipid metabolism.

An Amish founder population reveals rare-population genetic determinants of the human lipidome

Identifying the genetic determinants of inter-individual variation in lipid species (lipidome) may provide deeper understanding and additional insight into the mechanistic effect of complex lipidomic pathways in CVD risk and progression beyond simple traditional lipids. Previous studies have been largely population based and thus only powered to discover associations with common genetic variants. Founder populations represent a powerful resource to accelerate discovery of previously unknown biology associated with rare population alleles that have risen to higher frequency due to genetic drift. We performed a genome-wide association scan of 355 lipid species in 650 individuals from the Amish founder population including 127 lipid species not previously tested. To the best of our knowledge, we report for the first time the lipid species associated with two rare-population but Amish-enriched lipid variants: APOB_rs5742904 and APOC3_rs76353203. We also identified novel associations for 3 rare-population Amish-enriched loci with several sphingolipids and with proposed potential functional/causal variant in each locus including GLTPD2_rs536055318, CERS5_rs771033566, and AKNA_rs531892793. We replicated 7 previously known common loci including novel associations with two sterols: androstenediol with UGT locus and estriol with SLC22A8/A24 locus. Our results show the double power of founder populations and detailed lipidome to discover novel trait-associated variants.

A GWAS of 355 lipid species in the Old Order Amish founder population reveals associations between Amish-enriched loci and several sphingolipids.

Serum metabolomics of Bama miniature pigs bitten by Bungarus multicinctus

Bungarus multicinctus is one of the top ten venomous snakes in China, and its bite causes acute and severe diseases, but its pathophysiology remains poorly elucidated. Thus, an animal model of Bungarus multicinctus bite was established by intramuscular injection of 30μg/kg of Bungarus multicinctus venom, and then the serum metabolites were subsequently screened, identified and validated by ultra-performance liquid chromatography-quadrupole-time of flight-mass spectrometry (UPLC-Q-TOF-MS) methods to explore the potential biomakers and possible metabolic pathways. Untargeted metabolomics analysis showed that 36 and 38 endogenous metabolites levels changed in ESI+ and ESI-, respectively, KEGG pathway analysis showed that 5 metabolic pathways, including mineral absorption, central carbon metabolism in cancer, protein digestion and absorption, aminoacyl-tRNA biosynthesis and ABC transporters might be closely related to Bungarus multicinctus bite. Targeted metabolomics analysis showed that there were significant differences in serum D-proline, L-leucine and L-glutamine after Bungarus multicinctus bite (P < 0.05). In addition, receiver operating characteristic (ROC) analysis showed that the diagnostic efficiency of L-Glutamine was superior to other potential biomarkers and the AUC value was 0.944. Moreover, we found evidence for differences in the pathophysiology of glutamine between Bungarus multicinctus bite group and normal group, specifically with the content of glutamine synthetase (GS) and glutaminase (GLS). Taken together, the current study has successfully established an animal model of Bungarus multicinctus bite, and further identified the links between the metabolic perturbations and the pathophysiology and the potential diagnostic biomakers of Bungarus multicinctus bite, which provided valuable insights for studying the mechanism of Bungarus multicinctus bite.

Metabolic Signature of Arrhythmogenic Cardiomyopathy

Arrhythmogenic cardiomyopathy (ACM) is a genetic-based cardiac disease accompanied by severe ventricular arrhythmias and a progressive substitution of the myocardium with fibro-fatty tissue. ACM is often associated with sudden cardiac death. Due to the reduced penetrance and variable expressivity, the presence of a genetic defect is not conclusive, thus complicating the diagnosis of ACM. Recent studies on human induced pluripotent stem cells-derived cardiomyocytes (hiPSC-CMs) obtained from ACM individuals showed a dysregulated metabolic status, leading to the hypothesis that ACM pathology is characterized by an impairment in the energy metabolism. However, despite efforts having been made for the identification of ACM specific biomarkers, there is still a substantial lack of information regarding the whole metabolomic profile of ACM patients. The aim of the present study was to investigate the metabolic profiles of ACM patients compared to healthy controls (CTRLs). The targeted Biocrates AbsoluteIDQ^® p180 assay was used on plasma samples. Our analysis showed that ACM patients have a different metabolome compared to CTRLs, and that the pathways mainly affected include tryptophan metabolism, arginine and proline metabolism and beta oxidation of fatty acids. Altogether, our data indicated that the plasma metabolomes of arrhythmogenic cardiomyopathy patients show signs of endothelium damage and impaired nitric oxide (NO), fat, and energy metabolism.

Integrating lipidomics and genomics: emerging tools to understand cardiovascular diseases

Cardiovascular diseases (CVDs) are the leading cause of mortality and morbidity worldwide leading to 31% of all global deaths. Early prediction and prevention could greatly reduce the enormous socio-economic burden posed by CVDs. Plasma lipids have been at the center stage of the prediction and prevention strategies for CVDs that have mostly relied on traditional lipids (total cholesterol, total triglycerides, HDL-C and LDL-C). The tremendous advancement in the field of lipidomics in last two decades has facilitated the research efforts to unravel the metabolic dysregulation in CVDs and their genetic determinants, enabling the understanding of pathophysiological mechanisms and identification of predictive biomarkers, beyond traditional lipids. This review presents an overview of the application of lipidomics in epidemiological and genetic studies and their contributions to the current understanding of the field. We review findings of these studies and discuss examples that demonstrates the potential of lipidomics in revealing new biology not captured by traditional lipids and lipoprotein measurements. The promising findings from these studies have raised new opportunities in the fields of personalized and predictive medicine for CVDs. The review further discusses prospects of integrating emerging genomics tools with the high-dimensional lipidome to move forward from the statistical associations towards biological understanding, therapeutic target development and risk prediction. We believe that integrating genomics with lipidome holds a great potential but further advancements in statistical and computational tools are needed to handle the high-dimensional and correlated lipidome.