Plasma metallomics reveals potential biomarkers and insights into the ambivalent associations of elements with acute myocardial infarction.

Acute myocardial infarction (AMI) is a leading cause of mortality and morbidity worldwide. Using a validated and efficient ICP-MS/MS-based workflow, a total of 30 metallomic features were profiled in a study comprising 101 AMI patients and 66 age-matched healthy controls. The metallomic features include 12 essential elements (Ca, Co, Cu, Fe, K, Mg, Mn, Na, P, S, Se, Zn), 8 non-essential/toxic elements (Al, As, Ba, Cd, Cr, Ni, Rb, Sr, U, V), and 10 clinically relevant element-pair product/ratios (Ca/Mg, Ca×P, Cu/Se, Cu/Zn, Fe/Cu, P/Mg, Na/K, Zn/Se). Preliminary linear regression with feature selection confirmed smoking status as a predominant determinant for the non-essential/toxic elements, and revealed potential routes of action. Univariate assessments with adjustments for covariates revealed insights into the ambivalent relationships of Cu, Fe, and P with AMI, while also confirming cardioprotective associations of Se. Also, beyond their roles as risk factors, Cu and Se may be involved in the response mechanism in AMI onset/intervention, as demonstrated via longitudinal data analysis with 2 additional time-points (1-/6-month follow-up). Finally, based on both univariate tests and multivariate classification modelling, potentially more sensitive markers measured as element-pair ratios were identified (e.g., Cu/Se, Fe/Cu). Overall, metallomics-based biomarkers may have utility for AMI prediction.

Multi-Omics Investigation into Acute Myocardial Infarction: An Integrative Method Revealing Interconnections amongst the Metabolome, Lipidome, Glycome, and Metallome.

Acute myocardial infarction (AMI) is a leading cause of mortality and morbidity worldwide. This work aims to investigate the translational potential of a multi-omics study (comprising metabolomics, lipidomics, glycomics, and metallomics) in revealing biomechanistic insights into AMI. Following the N-glycomics and metallomics studies performed by our group previously, untargeted metabolomic and lipidomic profiles were generated and analysed in this work via the use of a simultaneous metabolite/lipid extraction and liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis workflow. The workflow was applied to blood plasma samples from AMI cases (n = 101) and age-matched healthy controls (n = 66). The annotated metabolomic (number of features, n = 27) and lipidomic (n = 48) profiles, along with the glycomic (n = 37) and metallomic (n = 30) profiles of the same set of AMI and healthy samples were integrated and analysed. The integration method used here works by identifying a linear combination of maximally correlated features across the four omics datasets, via utilising both block-partial least squares-discriminant analysis (block-PLS-DA) based on sparse generalised canonical correlation analysis. Based on the multi-omics mapping of biomolecular interconnections, several postulations were derived. These include the potential roles of glycerophospholipids in N-glycan-modulated immunoregulatory effects, as well as the augmentation of the importance of Ca-ATPases in cardiovascular conditions, while also suggesting contributions of phosphatidylethanolamine in their functions. Moreover, it was shown that combining the four omics datasets synergistically enhanced the classifier performance in discriminating between AMI and healthy subjects. Fresh and intriguing insights into AMI, otherwise undetected via single-omics analysis, were revealed in this multi-omics study. Taken together, we provide evidence that a multi-omics strategy may synergistically reinforce and enhance our understanding of diseases.

Cross-identification of N-Glycans by CE-LIF using two capillary coatings and three labeling dyes.

Recombinant protein biopharmaceuticals comprise a significant portion of the current drug development landscape. The glycosylation profile of these proteins is a key quality parameter as it can affect their safety, efficacy, and stability. However, glycan analysis is challenging because of the complexity of their structures. To overcome this challenge in achieving accurate glycan identification, cross-identification of N-Glycans by CE-LIF method using two capillary coatings and three labeling dyes was developed in this work. This work explored whether complementary separation capabilities can be achieved using homemade polyvinyl alcohol (PVA) coating and commercial Guarant™ (Guarant) coating in the analysis of N-glycans. Similar separation profiles were observed using the two capillary coatings, and hence the N-glycan GU databases generated by these coatings were comparable and complementary. The performance of cross-validation by labeling with three fluorescent dyes indicated that low covariance of APTS and Turquoise™ labeling can be obtained, and hence these two labeling mechanisms provided better accuracy for the identification of glycans. Superior reproducibility with RSDs less than 1% for all target glycan standards was achieved by the internal standards (IS) method using maltodextrin ladders as additives in the separation buffer. The developed CE-LIF analysis method was applied to the identification of N-glycans in IgG samples.

N-glycan profiles of acute myocardial infarction patients reveal potential biomarkers for diagnosis, severity assessment and treatment monitoring.

Acute myocardial infarction (AMI) is a leading cause of mortality and morbidity worldwide. Diagnostic challenges remain in this highly time-sensitive condition. Using capillary electrophoresis-laser-induced fluorescence, we analyzed the blood plasma N-glycan profile in a cohort study comprising 103 patients with AMI and 69 controls. Subsequently, the data generated was subjected to classification modeling to identify potential AMI biomarkers. An area under the Receiving Operating Characteristic curve (AUCROC) of 0.81 was obtained when discriminating AMI vs. non-MI patients. We postulate that the glycan profile involves a switch from a pro- to an anti-inflammatory state in the AMI pathophysiology. This was supported by significantly decreased levels in galactosylation, alongside increased levels in sialylation, afucosylation and GlcNAc bisection levels in the blood plasma of AMI patients. By substantiating the glycomics analysis with immunoglobulin G (IgG) protein measurements, robustness of the glycan-based classifiers was demonstrated. Changes in AMI-related IgG activities were also confirmed to be associated with alterations at the glycosylation level. Additionally, a glycan-biomarker panel derived from glycan features and current clinical biomarkers performed remarkably (AUCROC = 0.90, sensitivity = 0.579 at 5% false positive rate) when discriminating between patients with ST-segment elevation MI (n = 84) and non-ST-segment elevation MI (n = 19). Moreover, by applying the model trained using glycomics information, AMI and controls can still be discriminated at 1 and 6 months after baseline. Thus, glycomics biomarkers could potentially serve as a valuable complementary test to current diagnostic biomarkers. Additional research on their utility and associated biomechanisms via a large-scale study is recommended.

Metabolic Profiling of a Porcine Combat Trauma-Injury Model Using NMR and Multi-Mode LC-MS Metabolomics-A Preliminary Study.

Profiles of combat injuries worldwide have shown that penetrating trauma is one of the most common injuries sustained during battle. This is usually accompanied by severe bleeding or hemorrhage. If the soldier does not bleed to death, he may eventually succumb to complications arising from trauma hemorrhagic shock (THS). THS occurs when there is a deficiency of oxygen reaching the organs due to excessive blood loss. It can trigger massive metabolic derangements and an overwhelming inflammatory response, which can subsequently lead to the failure of organs and possibly death. A better understanding of the acute metabolic changes occurring after THS can help in the development of interventional strategies, as well as lead to the identification of potential biomarkers for rapid diagnosis of hemorrhagic shock and organ failure. In this preliminary study, a metabolomic approach using the complementary platforms of nuclear magnetic resonance (NMR) spectroscopy and liquid chromatography coupled with mass spectrometry (LC-MS) was used to determine the metabolic changes occurring in a porcine model of combat trauma injury comprising of penetrating trauma to a limb with hemorrhagic shock. Several metabolites associated with the acute-phase reaction, inflammation, energy depletion, oxidative stress, and possible renal dysfunction were identified to be significantly changed after a thirty-minute shock period.

1H NMR-based metabolomics for the discrimination of celery (Apium graveolens L. var. dulce) from different geographical origins.

Celery (Apium graveolens L. var dulce) is a widely cultivated vegetable which is popularly consumed due to its nutrient content and contains bioactive metabolites with positive effects on human physiology. In this study, 1H NMR spectroscopy coupled with multivariate statistical analyses was used to distinguish celery stem and leaf samples from different geographical origins. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were employed to investigate the differences between celery extracts from three geographical origins: Australia, Taiwan and China. Sugars, amino acids and organic acids were found to contribute significantly to the differentiation between origins, with mannitol identified as an important discriminating metabolite. It was demonstrated that NMR-based metabolomics is an effective approach for establishing reliable metabolomic fingerprints and profiles, enabling the identification of metabolite biomarkers for the possible discrimination of geographical origin.

A global metabolomic insight into the oxidative stress and membrane damage of copper oxide nanoparticles and microparticles on microalga Chlorella vulgaris.

To compare aquatic organisms' responses to the toxicity of copper oxide (CuO) nanoparticles (NPs) with those of CuO microparticles (MPs) and copper (Cu) ions, a global metabolomics approach was employed to investigate the changes of both polar and nonpolar metabolites in microalga Chlorella vulgaris after 5-day exposure to CuO NPs and MPs (1 and 10 mg/L), as well as the corresponding dissolved Cu ions (0.08 and 0.8 mg/L). Unchanged growth, slight reactive oxygen species production, and significant membrane damage (at 10 mg/L CuO particles) in C. vulgaris were demonstrated. A total of 75 differentiated metabolites were identified. Most metabolic pathways perturbed after CuO NPs exposure were shared by those after CuO MPs and Cu ions exposure, including accumulation of chlorophyll intermediates (max. 2.4-5.2 fold), membrane lipids remodeling for membrane protection (decrease of phosphatidylethanolamines (min. 0.6 fold) and phosphatidylcholines (min. 0.2-0.7 fold), as well as increase of phosphatidic acids (max. 1.5-2.9 fold), phosphatidylglycerols (max. 2.2-2.3 fold), monogalactosyldiacylglycerols (max. 1.2-1.4 fold), digalactosylmonoacylglycerols (max. 1.9-3.8 fold), diacylglycerols (max. 1.4 fold), lysophospholipids (max. 1.8-3.0 fold), and fatty acids (max. 3.0-6.2 fold)), perturbation of glutathione metabolism induced by oxidative stress, and accumulation of osmoregulants (max. 1.3-2.6 fold) to counteract osmotic stress. The only difference between metabolic responses to particles and those to ions was the accumulation of fatty acids oxidation products: particles caused higher fold changes (particles/ions ratio 1.9-3.0) at 1 mg/L and lower fold changes (particles/ions ratio 0.4-0.7) at 10 mg/L compared with ions. Compared with microparticles, there was no nanoparticle-specific pathway perturbed. These results confirm the predominant role of dissolved Cu ions on the toxicity of CuO NPs and MPs, and also reveal particle-specific toxicity from a metabolomics perspective.

Metabolomics reveals that tris(1,3-dichloro-2-propyl)phosphate (TDCPP) causes disruption of membrane lipids in microalga Scenedesmus obliquus.

Tris(1,3-dichloro-2-propyl)phosphate (TDCPP) is one of the most widely used organophosphate ester flame retardants. The presence of TDCPP in surface waters and aquatic organisms have been reported worldwide, yet the ecological risk of TDCPP on microalgae is rarely studied. We investigated the biotransformation of TDCPP and its toxicity on the microalga Scenedesmus obliquus using an untargeted metabolomics approach. Exposure to TDCPP resulted in a dose-response decrease of micoalgal biomass. In the presence of microalgae, TDCPP concentration in the media decreased by 25.3-40.6% after 5 days. TDCPP metabolites were identified in the media including hydrolysis and hydroxyl-substituted dechlorination products. A dose-response separation of metabolic profiles of microalgae was observed, with effect seen at the lowest concentration of 10 µg/L tested, which is slightly higher than environmentally relevant concentrations. Differentiated metabolites identified include 52 lipids and 6 polar metabolites. Analysis of altered lipid pathways suggests that microalgal cells reinforce thylakoid membranes (function to protect photosynthesis) by compromising the integrity of plasma membrane (function to protect cellular substances) and extraplastidial cellular membranes. Changes in the polar metabolites might indicate osmotic stress and improved NO signaling after TDCPP exposure. Consistent with perturbation of membrane lipids, further experiment confirmed that exposure to 10 mg/L TDCPP resulted in significant (p < 0.01) plasma membrane damage. This study indicates biotransformation and the membrane damage toxicity mechanism of TDCPP on S. obliquus, demonstrating the usefulness of metabolomics for the toxicity mechanism elucidation of emerging pollutants.

Uptake and toxic effects of triphenyl phosphate on freshwater microalgae Chlorella vulgaris and Scenedesmus obliquus: Insights from untargeted metabolomics.

The flame retardant triphenyl phosphate (TPhP) has been widely detected in surface waters. Yet, little information is known regarding its impact on microalgae. We investigated the uptake and toxicity of TPhP on two freshwater microalgae Chlorella vulgaris (CV) and Scenedesmus obliquus (SO) after exposure to 10 µg/l-10 mg/l for 5 days. The presence of microalgae significantly enhanced TPhP degradation, with the final concentrations dropped to 5.5-35.1% of the original concentrations. Most of the medium TPhP were sorbed and transformed by microalgae in just one day. Growth of CV was inhibited in a concentration-dependent manner, whereas growth of SO were only inhibited significantly at 10 mg/l TPhP exposure. Mass spectrometry-based untargeted metabolomics revealed concentration- and species-dependent metabolic responses. Exposure to TPhP in CV resulted in enhanced respiration (increase of fumarate and malate) and osmoregulation (increase of sucrose and myo-inositol), synthesis of membrane lipids (accumulation of monogalactosyldiacylglycerol (MGDG) and digalactosyldiacylglycerol (DGDG), decrease of lysoglycerolipids, fatty acids, and glyceryl-glucoside). Exposure to TPhP in SO resulted in enhanced osmoregulation (increase of valine, proline, and raffinose) and lipolysis (decrease of MGDG, accumulation of fatty acids, lysophospholipids, and glycerol phosphate). Although chlorophyll a and b contents did not change significantly, decrease of chlorophyll derivatives was observed in both CV and SO at high exposure concentrations. Further bioassays confirmed that CV exhibited enhanced membrane integrity and decreased cellular reactive oxygen species (ROS) possibly as a defense strategy, whereas SO showed disruption of membrane integrity and induction of ROS at 10 mg/l exposure. This study demonstrated the potential of microalgae to remove TPhP in water, and offered new insights for the risk assessment of TPhP on freshwater microalgae using metabolomics.

Untargeted metabolomics reveals transformation pathways and metabolic response of the earthworm Perionyx excavatus after exposure to triphenyl phosphate.

Triphenyl phosphate (TPHP) is one of the most highly utilized organophosphorus flame retardants, and has been frequently detected in various environmental matrices, including soil. So far, limited information is known regarding the potential toxicity of TPHP to the earthworm-soil ecosystem. We investigated the metabolism of TPHP and the perturbation of the endogenous metabolome in the earthworm, Perionyx excavatus, using gas chromatography mass spectrometry (GC-MS) and liquid chromatography quadrupole time-of-flight (LC-QTOF)-based untargeted metabolomics approach after acute exposure to TPHP for one and two days through a filter paper contact test, as well as after chronic exposure for 28 days in a soil microcosm experiment. TPHP showed low bioaccumulation potential in the earthworm-soil ecosystem at concentrations of 10 mg/kg and 50 mg/kg. Identified phase I metabolites include diphenyl phosphate, mono-hydroxylated and di-hydroxylated TPHP. Two groups of phase II metabolites, thiol conjugates (including mercaptolactic acid, cysteine, cysteinylglycine, and mercaptoethanol conjugates) and glucoside conjugates (including glucoside, glucoside-phosphate, and C14H19O10P conjugates), were putatively identified. Only acute TPHP exposure caused significant perturbations of the endogenous metabolome in earthworms, featuring fluctuations in amino acids, glucose, inosine and phospholipids. These results reveal novel phase II metabolism and toxicity of TPHP in P. excavatus.

Metabolism of tri-n-butyl phosphate in earthworm Perionyx excavatus.

Tri-n-butyl phosphate (TBP) is widely used in various industrial processes and has been detected in all environmental matrices. So far, little work has been done regarding the metabolism of TBP on terrestrial invertebrates. We investigated the metabolism of TBP in the earthworm, Perionyx excavatus, after acute exposure to TBP for one and two days in filter paper contact test, as well as after chronic exposure for 28 days in soil experiment. Biotransformation products were identified by using liquid chromatography coupled with quadrupole time-of-flight mass spectrometry, and by exploiting the information dependent acquisition in tandem mass spectrometry. TBP exhibited low accumulation in earthworm-soil ecosystem at 10 mg/kg and 50 mg/kg. The presence of earthworms significantly enhanced TBP degradation at 50 mg/kg in soil. Dibutyl phosphate and hydroxylated TBP were the major phase I metabolites. Three novel phase II metabolites were identified: ethanol dibutyl phosphate and its sulfate conjugate, and the phosphate conjugate of hydroxylated TBP. Hydroxylation and further phosphorylation dominated metabolism in chronic exposure. An extensive metabolic pathway of TBP in earthworm was proposed. This is the first report of TBP metabolism in terrestrial invertebrates and highlights the necessity to identify metabolites of contaminants when evaluating their bioaccumulation and toxicity.

High throughput human plasma N-glycan analysis using DNA analyzer and multivariate analysis for biomarker discovery.

Carbohydrates form the majority of organic compounds found in nature and their presence on proteins influences many important bioactivities. Therefore, glycan profiling shows potential in clinical applications. This work demonstrates the use of a high-throughput GlycanAssure™ sample preparation technology and multi-capillary DNA analyzer for the analysis of the major N-linked glycans (N-glycans) found in human plasma. The application involves two biomarker studies: (1) in profiling patients with chronic kidney disease and (2) in differentiating heart disease patients with normal controls in response to an antiplatelet drug from hypo-responders. Due to complexity of the study data, bio-statistical methods were applied to data processing. 37 N-glycan peaks were observed from separation results, with confirmed structure for most glycans. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to build models to differentiate the patient groups. The percentages of correct classification of the models reached 95.45% for the chronic kidney disease dataset and 85.42% for the anti-platelet drug response dataset. Given that blood N-glycan profiles had been shown to reflect certain disease states, this high-throughput platform could potentially be used for the simultaneous screening of multiple glycan biomarkers, with as little as one drop of blood sample.

Correlations in the elemental and metabolic profiles of the lichen Dirinaria picta after road traffic exposure.

Lichens can be used as cost-effective biomonitors of elements from road traffic in the urban environment. However, the nature of comprehensive interactions between hazardous heavy metals from road traffic and lichen metabolites remains unclear. In this study, elemental and metabolic profiles of the lichen Dirinaria picta after exposure to road traffic for 3 months in 9 sites of Singapore city were investigated. Concentrations of 34 elements reveal strong correlations among each other and a general increase with traffic exposure level. A variety of metabolites, i.e. sugar alcohols, sugars, amino acids, low-molecular mass organic acids, secondary metabolites and nucleosides, are identified through a multi-platform approach combining liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF/MS), gas chromatography quadrupole mass spectrometry (GC-Q/MS) and 1H nuclear magnetic resonance (1H NMR). The total amount of the heavy metals Fe, Zn, Cu, Cd, Pb and Co can be significantly correlated with 21 metabolites positively and 9 metabolites negatively. These correlations reveal a heavy metal detoxification mechanism through ROS scavenging, osmoregulation and chelation with N atoms and sulfhydryl groups, as well as depletion of arabitol and inhibited synthesis of certain secondary metabolites such as quinones and steroids due to heavy metal stress. This study provides new insights into the metabolic toxicity and detoxification mechanisms in lichens under heavy metal exposure.

(1)H nuclear magnetic resonance-based metabolomics study of earthworm Perionyx excavatus in vermifiltration process.

In this study, (1)H nuclear magnetic resonance (NMR)-based metabolomics approach was used to characterize the metabolic response of the earthworm Perionyx excavatus in continuous vermifiltration for two months under hydraulic loading rates of 1m(3)m(-2)d(-1) (VF1) and 1.5m(3)m(-2)d(-1) (VF1.5). Both VF1 and VF1.5 showed higher removal of chemical oxygen demand and total nitrogen than the biofilter without earthworms. Principal component analysis of the NMR spectra of earthworm metabolites showed significant separations between those not subjected to wastewater filtration (control) and VF1 or VF1.5. Temporal variations of earthworm biomass, and the identified metabolites that are significantly different between control, VF1 and VF1.5 revealed that worms underwent increasing metabolic activity within 20days in VF1 and 14days in VF1.5, then decreasing metabolic activity. The use of NMR-based metabolomics in monitoring earthworm metabolism was demonstrated to be a novel approach in studying engineered vermifiltration systems.