Metabolomics最新文献

Background: Coronary slow flow (CSF) is associated with poor cardiovascular prognosis. However, its pathogenesis is unclear. This study aimed to identify potential characteristic biomarkers in patients with CSF using untargeted metabolomics.

Methods: We prospectively enrolled 30 patients with CSF, 30 with coronary artery disease (CAD), and 30 with normal coronary arteries (NCA), all of whom were age-matched, according to the results of coronary angiography. Serum metabolomics were analyzed using ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). Differentially expressed metabolites were identified through orthogonal partial least squares-discriminant analysis (OPLS-DA) combined with univariate fold-change and VIP value analysis. Pathway enrichment of these metabolites was performed using the KEGG database, and ROC curves were plotted to assess the diagnostic value of the metabolites in CSF patients.

Results: Compared to the CAD and NCA groups, 256 metabolites showed specific expression in CSF, with 18 meeting stringent screening criteria (VIP > 1, FC ≥ 2, or FC ≤ 0.5, and P < 0.05). Seven metabolites demonstrated high diagnostic value for CSF: inositol 1,3,4-trisphosphate (AUC: 1.0), Cer (d24:1/18:0 (2OH)) (AUC: 0.984), Creosol (AUC: 0.976), Chaps (AUC: 0.904), Arg-Thr-Lys-Arg (AUC: 0.929), Ser-Tyr-Arg (AUC: 0.912), and Methyl Indole-3-Acetate (AUC: 0.909). Pathway analysis highlighted the HIF-1 signaling pathway as the most significant metabolic pathway.

Conclusions: We identified seven metabolites that may serve as serum biomarkers for predicting and diagnosing CSF through untargeted metabolomics. The HIF-1 signaling pathway appears to be crucial in the development of CSF.

Introduction: The diagnosis of Growth Hormone Deficiency (GHD) during childhood has been the subject of much controversy over the last few years. Aiming to accurate medical treatment, there is a need for biomarker discovery.

Objective: To characterize the metabolic profile of GHD children, examine the effect of GH administration on the metabolic signature, and investigate the correlations between metabolites and IGF-1.

Methods: Nuclear Magnetic Resonance (NMR)-based untargeted and targeted metabolomic approach applied to study the metabolic profiles of children with GHD. Plasma, serum, and urine samples were collected from twenty-two children diagnosed with GHD and forty-eight age matched controls from the Pediatric Endocrinology Unit of the University Hospital of Patras. Experimental data were examined by both multivariate and univariate statistical analysis.

Results: The results of this pilot study revealed a different metabolic fingerprint of children with GHD in comparison to age-matched healthy individuals. However, the detected alterations in the metabolite patterns before and after GH treatment were subtle and of minor discriminative statistical power.

Conclusions: This study provides evidence that metabolome plays a pivotal role in GHD, but large-scale multicenter studies are warranted to validate the results.

Introduction: Preeclampsia (PE) is a common vascular pregnancy disorder affecting maternal and fetal metabolism with severe immediate and long-term consequences in mothers and infants. During pregnancy, metabolites in the maternal circulation pass through the placenta to the fetus. Meconium, a first stool of the neonate, offers a view to maternal and fetoplacental unit metabolism and could add to knowledge on the effects of PE on the fetus and newborn.

Objectives: To compare meconium metabolome of infants from PE and normotensive pregnancies.

Methods: A cohort of preeclamptic parturients and normotensive controls were recruited in Tampere University Hospital during 2019-2022. Meconium was sampled and its metabolome analyzed using liquid chromatography- mass spectrometry in 48 subjects in each group.

Results: Differences in abundances of 1263 compounds, of which 19 could be annotated, were detected between the two groups. Several acylcarnitines, androsterone sulfate, three bile acids, amino acid derivatives (phenylacetylglutamine, epsilon-(gamma-glutamyl)lysine and N-(phenylacetyl)glutamic acid), as well as caffeine and paraxanthine were lower in the PE group compared to the control group. Urea and progesterone were higher in the PE group.

Conclusion: PE is associated with alterations in the meconium metabolome of infants. The differing abundances of several metabolites show alterations in the interaction between the fetoplacental unit and mother in PE, but whether they are a cause or an effect of the disorder remains to be further investigated.

Background: Gestational exposure to non-persistent endocrine-disrupting chemicals (EDCs) may be associated with adverse pregnancy outcomes. While many EDCs affect the endocrine system, their effects on endocrine-related metabolic pathways remain unclear. This study aims to explore the global metabolome changes associated with EDC biomarkers at delivery.

Methods: This study included 75 pregnant individuals who delivered at the University of Cincinnati Hospital from 2014 to 2017. We measured maternal urinary biomarkers of paraben/phenol (12), phthalate (13), and phthalate replacements (4) from the samples collected during the delivery visit. Global serum metabolome profiles were analyzed from maternal blood (n = 72) and newborn (n = 63) cord blood samples collected at delivery. Fifteen of the 29 urinary biomarkers were excluded due to low detection frequency or potential exposures during hospital stay. We assessed metabolome-wide associations between 14 maternal urinary biomarkers and maternal/newborn metabolome profiles. Additionally, performed enrichment analysis to identify potential alterations in metabolic pathways.

Results: We observed metabolome-wide associations between maternal urinary concentrations of phthalate metabolites (mono-isobutyl phthalate), phthalate replacements (mono-2-ethyl-5-carboxypentyl terephthalate, mono-2-ethyl-5-hydroxyhexyl terephthalate) and phenols (bisphenol-A, bisphenol-S) and maternal serum metabolome, using q-value < 0.2 as a threshold. Additionally, associations of phthalate metabolites (mono-n-butyl phthalate, monobenzyl phthalate) and phenols (2,5-dichlorophenol, BPA) with the newborn metabolome were noted. Enrichment analyses revealed associations (p-gamma < 0.05) with amino acid, carbohydrate, lipid, glycan, vitamin, and other cofactor metabolism pathways.

Conclusion: Maternal paraben, phenol, phthalate, and phthalate replacement biomarker concentrations at delivery were associated with maternal and newborn serum global metabolome.

Introduction and objective: Rumex sanguineus, a traditional medicinal plant of the Polygonaceae family, is gaining popularity as an edible resource. However, despite its historical and nutritional significance, its chemical composition remains poorly understood. To deepen the understanding of the of Rumex sanguineus composition, an in-depth analysis using non-targeted, mass spectrometry-based metabolomics was performed.  METHODS: Rumex roots, stems and leaves samples were analyzed by UHPLC-HRMS and subsequently subjected to feature-based molecular networking.

Results and conclusion: Overall, 347 primary and specialized metabolites grouped into 8 biochemical classes were annotated. Most of these metabolites (60%) belong to the polyphenols and anthraquinones classes. To investigate potential' toxicity due to the presence of anthraquinones, the amount of emodin was quantified with analytical standard, revealing higher accumulation in leaves compared to stems and roots. This highlights the need for thorough metabolomic studies to understand both beneficial and harmful compounds, especially in plants with historical medicinal use transitioning to modern culinary use.

Introduction: Hemodynamic forces play a crucial role in modulating endothelial cell (EC) behavior, significantly influencing blood vessel responses. While traditional in vitro studies often explore ECs under static conditions, ECs are exposed to various hemodynamic forces in vivo. This study investigates how wall shear stress (WSS) influences EC metabolism, focusing on the interplay between WSS and key metabolic pathways.

Objectives: The aim of this study is to examine the effects of WSS on EC metabolism, specifically evaluating its impact on central carbon metabolism and glycolysis using transcriptomics and tracer metabolomics approaches.

Methods: ECs were exposed to WSS, and transcriptomic analysis was performed to assess gene expression changes related to metabolic pathways. Tracer metabolomics was used to track metabolic fluxes, focusing on glutamine and glycolytic metabolism. Additionally, chemical inhibition of glutamate dehydrogenase was conducted to evaluate its role in EC fitness under WSS.

Results: Transcriptomic data revealed upregulation of glutamine and glutamate pathways, alongside downregulation of glycolytic activity in ECs exposed to WSS. Tracer metabolomics confirmed that WSS promotes glutamine anaplerosis into the Krebs cycle, while decreasing glycolytic metabolism. Suppression of glutamate dehydrogenase impaired EC fitness under WSS conditions.

Conclusion: Our findings illuminate that ECs subjected to WSS exhibit a preference for glutamine as a key nutrient source for central carbon metabolism pathways, indicating diminished reliance on glycolysis. This study elucidates the nutritional predilections and regulatory mechanisms governing EC metabolism under WSS in vitro, underscoring the pivotal role of physical stimuli in shaping EC metabolic responses.

Introduction: Melanoma is an aggressive form of cancer characterised by its high metabolic adaptability that contributes to drug resistance. To this end, ruthenium complexes have emerged as a promising class of compounds in the discovery of cancer drugs due to their unique chemical properties and potential to overcome some of the limitations of conventional chemotherapy. In our previous study, we synthesised, characterised, and performed cytotoxicity tests of a ruthenium (II) complex (GA113) against the malignant A375 melanoma cell line. Our previous findings revealed favourable cytotoxicity, with an IC₅₀ value of 8.76 µM which formed the basis current study.

Objective: Elucidate the metabolic mechanism of GA113 in malignant A753 melanoma cells.

Method: A two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC-TOF/MS) cellular metabolomics approach was used, and univariate and multivariate statistical methods were applied to the metabolomics data.

Results: 33 metabolites were identified as significant discriminators between GA113-treated and untreated A375 melanoma cells. Changes in 19 of these 33 metabolites were mapped to pantothenate and coenzyme A biosynthesis, citrate cycle, cysteine and methionine metabolism, arginine and proline metabolism, and alanine, aspartate, and glutamate metabolism.

Conclusion: These findings suggest that GA113 exerts its anticancer effects by disrupting essential metabolic pathways in melanoma cells, which presents a promising therapeutic avenue to target melanoma metabolism.

Introduction: ZenoTOF is new class of high-resolution mass spectrometer that combines resolution and sensitivity. This mass spectrometer is well designed to perform metabolomics.

Methods: In this context, we compared the performance of ZenoTOF 7600 system (Sciex) with QTOF6520 (Agilent Technologies) through the leaf metabolome analysis of two Coffea species, namely C. anthonyi and C. arabica.

Results: Both species were used to compare both TOF systems. Our results showed that the ZenoTOF 7600 system provided more features (3146 vs 2326 metabolites) and more nodes (1410 vs 379 metabolites) by molecular network in only one injection.

Conclusion: These performances were attributed to the scan speed and sensitivity of the ZenotTOF and demonstrates its added value in the context of metabolomics.

Introduction: Breath Volatile organic compounds (VOCs) are promising biomarkers for clinical purposes due to their unique properties. Translation of VOC biomarkers into the clinic depends on identification and validation: a challenge requiring collaboration, well-established protocols, and cross-comparison of data. Previously, we developed a breath collection and analysis method, resulting in 148 breath-borne VOCs identified.

Objectives: To develop a complementary analytical method for the detection and identification of additional VOCs from breath. To develop and implement upgrades to the methodology for identifying features determined to be "on-breath" by comparing breath samples against paired background samples applying three metrics: standard deviation, paired t-test, and receiver-operating-characteristic (ROC) curve.

Methods: A thermal desorption (TD)-gas chromatography (GC)-mass spectrometry (MS)-based analytical method utilizing a PEG phase GC column was developed for the detection of biologically relevant VOCs. The multi-step VOC identification methodology was upgraded through several developments: candidate VOC grouping schema, ion abundance correlation based spectral library creation approach, hybrid alkane-FAMES retention indexing, relative retention time matching, along with additional quality checks. In combination, these updates enable highly accurate identification of breath-borne VOCs, both on spectral and retention axes.

Results: A total of 621 features were statistically determined as on-breath by at least one metric (standard deviation, paired t-test, or ROC). A total of 38 on-breath VOCs were able to be confidently identified from comparison to chemical standards.

Conclusion: The total confirmed on-breath VOCs is now 186. We present an updated methodology for high-confidence VOC identification, and a new set of VOCs commonly found on-breath.