A novel n-3 glyceride mixture enhances enrichment of EPA and DHA after single dosing in healthy older adults: results from a double-blind crossover trial

A glyceride mixture of monoglyceride, diglyceride and TAG increases solubilisation and enhances emulsification of n-3 fatty acid (FA)-containing lipids in the stomach. This allows for better access of digestive enzymes, pivotal for the release of bioactive n-3 FA. The objective was to compare the effect of a glyceride formulation and an ethyl ester formulation of EPA + DHA on concentrations of EPA and DHA in plasma following single dosing. We conducted a double-blind crossover trial in which twenty healthy adults aged 50-70 years consumed a single dose (2·8 g EPA + DHA) of each EPA + DHA formulation without a meal in random order separated by a 2-week washout period. EPA and DHA were measured in plasma total lipid over the following 12 h. EPA and DHA in plasma total lipid increased over 12 h with both formulations. A 10-fold greater Δ concentration of EPA, 3-fold greater Δ concentration of DHA and 5-fold greater Δ concentration of EPA + DHA were seen with the glyceride-EPA + DHA. The time at which the maximal concentrations of n-3 FA occurred was 4 h earlier for EPA, 1 h earlier for DHA and 2 h earlier for EPA + DHA when consuming glyceride-EPA + DHA. A mixture of monoglyceride, diglyceride and TAG results in greater and faster incorporation of EPA and DHA into blood plasma lipid in the absence of a fatty meal. This may provide benefit to individuals on a low-fat diet or with digestive impairments and could result in greater efficacy in clinical trials using n-3 FA.

A lipidome-wide association study of the lipoprotein insulin resistance index

Background

The lipoprotein insulin resistance (LPIR) score was shown to predict insulin resistance (IR) and type 2 diabetes (T2D) in healthy adults. However, the molecular basis underlying the LPIR utility for classification remains unclear.

Objective

To identify small molecule lipids associated with variation in the LPIR score, a weighted index of lipoproteins measured by nuclear magnetic resonance, in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study (n = 980).

Methods

Linear mixed effects models were used to test the association between the LPIR score and 413 lipid species and their principal component analysis-derived groups. Significant associations were tested for replication with homeostatic model assessment-IR (HOMA-IR), a phenotype correlated with the LPIR score (r = 0.48, p <  0.001), in the Heredity and Phenotype Intervention (HAPI) Heart Study (n = 590).

Results

In GOLDN, 319 lipids were associated with the LPIR score (false discovery rate-adjusted p-values ranging from 4.59 × 10^− 161 to 49.50 × 10^− 3). Factors 1 (triglycerides and diglycerides/storage lipids) and 3 (mixed lipids) were positively (β = 0.025, p = 4.52 × 10^− 71 and β = 0.021, p = 5.84 × 10^− 41, respectively) and factor 2 (phospholipids/non-storage lipids) was inversely (β = − 0.013, p = 2.28 × 10^− 18) associated with the LPIR score. These findings were replicated for HOMA-IR in the HAPI Heart Study (β = 0.10, p = 1.21 × 10^− 02 for storage, β = − 0.13, p = 3.14 × 10^− 04 for non-storage, and β = 0.19, p = 8.40 × 10^− 07 for mixed lipids).

Conclusions

Non-storage lipidomics species show a significant inverse association with the LPIR metabolic dysfunction score and present a promising focus for future therapeutic and prevention studies.

Quantification of diacylglycerol and triacylglycerol species in human fecal samples by flow injection Fourier transform mass spectrometry

The intestinal microbiome plays an important role in human health and disease and fecal materials reflect the microbial activity. Thus, analysis of fecal metabolites provides insight in metabolic interactions between gut microbiota and host organism. In this work, we applied flow injection analysis coupled to Fourier transform mass spectrometry (FIA-FTMS) to identify and quantify lipid species in human fecal samples. Fecal homogenates were subjected to lipid extraction and analyzed by FIA-FTMS. The analysis of different subjects revealed a vast heterogeneity of lipid species abundance. The majority of samples displayed prominent signals of triacylglycerol (TG) and diacylglycerol (DG) species that could be verified by MS2 spectra. Therefore, we focused on the quantification of TG and DG. Method validation included limit of quantification, linearity, evaluation of matrix effects, recovery, and reproducibility. The validation experiments demonstrated the suitability of the method, with exception for approximately 10% of samples, where we observed coefficients of variation higher than 15%. Impaired reproducibility was related to sample inhomogeneity and could not be improved by additional sample preparation steps. Additionally, these experiments demonstrated that compared with aqueous samples, samples containing isopropanol showed higher amounts of DG, presumably due to lysis of bacteria and increased TG lipolysis. These effects were sample-specific and substantiate the high heterogeneity of fecal materials as well as the need for further evaluation of pre-analytic conditions. In summary, FIA-FTMS offers a fast and accurate tool to quantify DG and TG species and is suitable to provide insight into the fecal lipidome and its role in health and disease.

Effect of monoglyceride content on emulsion stability and rheology of mayonnaise

The aim of the study was to determine the effects of monoglyceride content on emulsion stability and rheology of mayonnaise. For this purpose, mono (MG) and diglycerides (DG) were produced by transesterification of refined olive oil with elevating glycerol contents from 25 to 100 g and reaction times from 25 to 40 min. Maximum MG-DG yield was obtained when the reaction was performed for 40 min using 75 or 100 g of glycerol. Under these conditions, 90% of triglycerides (TG) were converted to 40% MG and 50% DG. Using a molecular distillation unit, MG was separated from the transesterification reaction mixture and purified up to 98%. Emulsifiers were then prepared by introducing distilled MG into the transesterification reaction mixture in order to increase the MG concentration from 40 to 98%, for enabling the utilization of them in mayonnaise production. The mayonnaise incorporated with 98% MG showed the highest stability and reduction in the MG concentration in the emulsifier mixture decreased the emulsion stability. Rheological measurements indicated that the control sample without emulsifier had the highest viscosity and shear stress values. The increment of the MG concentration in the emulsifier mixtures resulted in only small differences on the rheological properties of mayonnaise.

Cellular toxicity of dietary trans fatty acids and its correlation with ceramide and diglyceride accumulation

High fatty acid (FA) levels are deleterious to pancreatic β-cells, largely due to the accumulation of biosynthetic lipid intermediates, such as ceramides and diglycerides, which induce ER stress and apoptosis. Toxicity of palmitate (16:0) and oleate (18:1 cis-Δ⁹) has been widely investigated, while very little data is available on the cell damages caused by elaidate (18:1 trans-Δ⁹) and vaccenate (18:1 trans-Δ¹¹), although the potential health effects of these dietary trans fatty acids (TFAs) received great publicity. We compared the effects of these four FAs on cell viability, apoptosis, ER stress, JNK phosphorylation and autophagy as well as on ceramide and diglyceride contents in RINm5F insulinoma cells. Similarly to oleate and unlike palmitate, TFAs reduced cell viability only at higher concentration, and they had mild effects on ER stress, apoptosis and autophagy. Palmitate increased ceramide and diglyceride levels far more than any of the unsaturated fatty acids; however, incorporation of TFAs in ceramides and diglycerides was strikingly more pronounced than that of oleate. This indicates a correlation between the accumulation of lipid intermediates and the severity of cell damage. Our findings reveal important metabolic characteristics of TFAs that might underlie a long term toxicity and hence deserve further investigation.

Exploring lipid markers of the quality of coix seeds with different geographical origins using supercritical fluid chromatography mass spectrometry and chemometrics

BACKGROUND

Lipids, a group of primary metabolites, could be used as quality markers of Traditional Chinese medicine.

PURPOSE

The present study was designed to develop a research method to explore lipid markers of the quality of coix seeds with different geographical origins.

STUDY DESIGN

The geographical origins of coix seeds were divided into three regions based on the latitude. A central composite design (CCD test) was used to optimize the chromatographic parameters of supercritical fluid chromatography to obtain optimal lipid profile of coix seed.

METHODS

An untargeted method based on ultra-performance convergence chromatography - quadrupole/time-of-flight hybrid mass spectrometry (UPC²-QTOF) was developed. Four chromatographic parameters were optimized using CCD test, and a fusion index established by Derringer function was used to evaluate. The lipid profile of 27 batches of coix seeds were acquired and processed by Progenesis QI software, and the MS/MS spectrums were obtained to identify, simultaneously. The difference lipids were explored by orthogonal partial least squares discriminant analysis (OPLS-DA). The lipids that showed differences depending on their seeds' geographical origin were selected as markers of the quality of coix seeds from the three regions.

RESULTS

A Torus 2-PIC (1.7 µm, 100 mm × 3.0 mm) was selected as the optimal column of the untargeted method which the run time was only 8 minutes. From the CCD test, the interaction of chromatographic parameters between column temperature and backpressure was founded which the optimal parameters were 55 °C and 2600 psi, respectively. Thirty-two peaks in the lipid profile of coix seed were tentatively identified, of which 20 were triglyceride, and 12 were diglyceride. Nine features that could potentially be used to distinguish the coix seeds by their geographical origin were identified, most of which were diglycerides, such as OP.

CONCLUSIONS

Our findings confirm that UPC²-QTOF combined with chemometrics could be used as an efficient method for exploring potential lipid markers of the quality of herbal medicine.

Expanding Lipidome Coverage Using LC-MS/MS Data-Dependent Acquisition with Automated Exclusion List Generation

Untargeted omics analyses aim to comprehensively characterize biomolecules within a biological system. Changes in the presence or quantity of these biomolecules can indicate important biological perturbations, such as those caused by disease. With current technological advancements, the entire genome can now be sequenced; however, in the burgeoning fields of lipidomics, only a subset of lipids can be identified. The recent emergence of high resolution tandem mass spectrometry (HR-MS/MS), in combination with ultra-high performance liquid chromatography, has resulted in an increased coverage of the lipidome. Nevertheless, identifications from MS/MS are generally limited by the number of precursors that can be selected for fragmentation during chromatographic elution. Therefore, we developed the software IE-Omics to automate iterative exclusion (IE), where selected precursors using data-dependent topN analyses are excluded in sequential injections. In each sequential injection, unique precursors are fragmented until HR-MS/MS spectra of all ions above a user-defined intensity threshold are acquired. IE-Omics was applied to lipidomic analyses in Red Cross plasma and substantia nigra tissue. Coverage of the lipidome was drastically improved using IE. When applying IE-Omics to Red Cross plasma and substantia nigra lipid extracts in positive ion mode, 69% and 40% more molecular identifications were obtained, respectively. In addition, applying IE-Omics to a lipidomics workflow increased the coverage of trace species, including odd-chained and short-chained diacylglycerides and oxidized lipid species. By increasing the coverage of the lipidome, applying IE to a lipidomics workflow increases the probability of finding biomarkers and provides additional information for determining etiology of disease. Graphical Abstract ᅟ.

Characterization of colloidal structures during intestinal lipolysis using small-angle neutron scattering

HYPOTHESIS

Bile micelles are thought to mediate intestinal absorption, in part by providing a phase into which compounds can partition. Solubilizing capacity of bile micelles is enhanced during the digestion of fat rich food. We hypothesized that the intestinal digestion of triglycerides causes an increase in volume of micelles that can be quantitatively monitored over the course of digestion using small-angle neutron scattering (SANS), and that SANS can enable evaluation of the contribution of each of the components present during digestion to the size of micelles.

EXPERIMENTS

SANS was used to characterize the size and shape of micelles present prior to and during the in vitro simulated intestinal digestion of a model food-associated lipid, triolein.

FINDINGS

Pre-lipolysis mixtures of a bile salt and phospholipid simulating bile concentrations in fed conditions were organized in micelles with an average volume of 40 nm³. During lipolysis, the micelle volume increased 2.5-fold over a 2-h digestion period due to growth in one direction as a result of insertion of monoglycerides and fatty acids. These efforts represent a basis for quantitative mechanistic understanding of changes in solubilizing capacity of the intestinal milieu upon ingestion of a fat-rich meal.