Comprehensive Metabolite Profiling Research Articles

Intravenous administration of gold nanoparticles in rats exhibit alterations in sphingomyelins, bile acids, sphingolipids, and cholesterol esters levels

AbstractNanoparticles (NP) have gained significant attention in biomedical research due to their unique properties and potential applications in drug delivery, imaging, and diagnostics. Gold (AuNPs) and silver (AgNPs) NPs are among the important nanoplatforms that received extensive attention recently for various biomedical applications. Understanding the complex interaction of these NP in biological systems is essential to unveil their pharmacological, Pharmacokinetic and toxicological attributes. Metabolomics has proven invaluable in providing detailed insights into NP’s biodistribution, metabolic effects, and potential toxicity. This study aims to investigate the underlying metabolic pathways affected by in vivo exposure to NP using a robust metabolomics approach. In this work, spherical polyethylene glycol (PEG) modified AuNPs (13 nm, diameter) or AgNPs (20 nm, diameter) were synthesized and dosed into rats via intravenous route to study the associated metabolic changes. Rats (n = 14) were divided into three groups: control (n = 2), AuNPs (n = 6) and AgNPs (n = 6), to mimic potential biomedical exposure scenarios. Duplicate serum samples were collected 24 h post-dosing, and comprehensive metabolite profiling was performed using liquid chromatography-mass spectrometry (LC-MS/MS) and flow injection analysis-mass spectrometry (FIA-MS/MS). Metabolite extraction followed the MxP Quant 500 Kit protocol, with chromatographic separation using the Xevo TQS system. Metabolite identification and quantification were conducted with isotopically labelled internal standards and multiple reaction monitoring (MRM), utilizing optimized conditions under mass spectrometry (MS) as provided by Biocrates. Annotation of metabolites was determined by retention times and specific MRMs for each compound. Results indicate that AuNPs treatment significantly impacted several metabolic pathways. Notably, there was an increase in sphingomyelin (SM 34:2) levels (estimate 0.23, p ≤ 0.001), which are critical for cell membrane structure and signalling. Additionally, a decrease in glycochenodeoxycholic acid levels was also triggered by treatment with AuNPs, suggesting modulation of bile acid metabolism with potential effects on lipid homeostasis. Furthermore, treatment with AuNPs caused significant alterations in cholesterol ester levels, essential for lipid storage and transport, indicating disruptions in these mechanisms. These metabolic changes suggest that gold nanoparticles can disrupt fatty acid metabolism, pyrimidine/purine metabolism, and amino acid synthesis. These findings contribute to the growing understanding of nanoparticle toxicity profile and underscore the need for further research to ensure the safe application of nanoparticles in biomedical and other fields.

The use of metabolomics and machine learning algorithms to predict post-transplant diabetes mellitus in renal transplant patients on Tacrolimus therapy.

Tacrolimus (TAC) has significantly improved kidney graft survival following transplantation, though it is associated with adverse side effects. The most prevalent complication resulting from excessive TAC exposure is the onset of de novo diabetes mellitus (DM), a condition that can negatively impact both renal graft function and patient outcomes. De novo DM is linked to an increased risk of chronic transplant dysfunction, as well as cardiovascular morbidity and mortality. Although the underlying mechanisms remain unclear, emerging research in the field of omics shows promise. The aim of this study was to investigate the metabolomic profile of kidney transplant patients who developed de novo DM, in comparison to those who did not, following TAC exposure, using untargeted metabolomic analysis through ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) and machine learning algorithms. A cohort of 34 kidney transplant patients on a Tacrolimus regimen for at least 6 months was enrolled in the study, with serum samples collected from each patient. Comprehensive profiling of serum metabolites was performed, enabling the classification of patients into de novo diabetes mellitus and non diabetes groups. The metabolomic analysis of serum was conducted using UHPLC-MS. Of the 34 patients, 16 were diagnosed with TAC-induced diabetes. A total of 334 metabolites were identified in the serum samples, of which 10 demonstrated a significant correlation with the de novo diabetes mellitus group. Most of these metabolites were linked to alterations in lipid metabolism. The application of metabolomics in kidney transplant patients undergoing a Tacrolimus regimen is both feasible and effective in identifying metabolites associated with de novo diabetes mellitus. This approach may provide valuable insights into the metabolic alterations underlying TAC-induced diabetes.

Met4DX: A Unified and Versatile Data Processing Tool for Multidimensional Untargeted Metabolomics Data.

Liquid chromatography-mass spectrometry (LC-MS) is a powerful tool in untargeted metabolomics, enabling the high-sensitivity and high-specificity characterization of metabolites. The integration of ion mobility (IM) with LC-MS, known as LC-IM-MS, enhances the analytical depth, facilitating more comprehensive metabolite profiling. However, the complexity of data generated by these technologies presents significant challenges in data processing. Addressing these challenges, we developed Met4DX, a unified and versatile software tool for processing both 3D and 4D untargeted metabolomics data. Met4DX incorporates a new MS1-oriented peak detection approach coupled with our bottom-up assembly algorithm, enabling highly sensitive and comprehensive peak detection in untargeted metabolomics data. Additionally, Met4DX employs a uniform quantification strategy to enhance the precision of peak integration across different samples. The software provides a user-friendly interface that simplifies data processing with default parameter sets, consolidating peak detection, alignment, quantification, and other procedures into a single streamlined workflow. Together, Met4DX offers a comprehensive solution for multidimensional metabolomics data processing, transforming raw data from diverse MS instruments into a final feature table containing quantification and identification results. We postulate Met4DX facilitates metabolite discovery in biological samples by deciphering the complex untargeted metabolomics data. Met4DX is freely available on the Internet (https://met4dx.zhulab.cn/).

Chemical and Biological Characterization of Metabolites from Silene viridiflora Using Mass Spectrometric and Cell-Based Assays.

A comprehensive metabolite profiling of the medicinal plant Silene viridiflora using an UHPLC-ESI-MS/MS method is described for the first time. A total of 71 compounds were identified and annotated, the most common of which were flavonoids, triterpene glycosides, and ecdysteroids. The three major compounds schaftoside, 26-hydroxyecdysone, and silviridoside can be chosen as the markers for the assessment of the quality of S. viridiflora preparations. The methanol extract and a variety of metabolites identified in S. viridiflora were screened for their cytotoxic and Wnt pathway-inhibiting activities against triple-negative breast cancer (TNBC), the deadliest form of cancer in women. 2-Deoxy-20-hydroxyecdysone with submicromolar IC50 was identified as a result. The structure-activity relationship derived from the data from the in vitro proliferation assay showed that the hydroxyl group present at position C-2 of steroid core reduces the ecdysteroids' cytotoxicity against cancer cells.

Headspace aroma and secondary metabolites profiling in 3 Pelargonium taxa using a multiplex approach of SPME‐GC/MS and high resolution‐UPLC/MS/MS coupled to chemometrics

AbstractBACKGROUNDThe present study focuses on the aroma and secondary metabolites profiling of three Pelargonium graveolens cultivars, baladi (GRB), sondos (GRS) and shish (GRSH), grown in Egypt. Utilizing a multiplex approach combining high resolution‐ultraperformance liquid chromatography (HR‐UPLC)/tandem mass spectrometry (MS/MS) and gas chromatography (GC)‐MS coupled with chemometrics, the study aims to identify and profile various secondary metabolites and aroma compounds in these cultivars.RESULTSHR‐UPLC/MS/MS analysis led to the annotation of 111 secondary metabolites, including phenolics, flavonoids, terpenes and fatty acids, with several compounds being reported for the first time in geranium. Multivariate data analysis identified vinylanisole, dimethoxy‐flavonol, and eicosadienoic acid as discriminatory metabolites among the cultivars, particularly distinguishing the GRS cultivar in its phenolics profile. In total, 34 aroma compounds were detected using headspace solid‐phase microextraction coupled with GC‐MS, including alcohols, esters, ketones, ethers and monoterpene hydrocarbons. The major metabolites contributing to aroma discrimination among the cultivars were β‐citronellol in GRB, α‐farnesene in GRS and isomenthone in GRSH.CONCLUSIONThe study provides a comprehensive profiling of the secondary metabolites and aroma compounds in the three Pelargonium graveolens cultivars. The GRS cultivar was identified as particularly distinct in both its phenolics and aroma profiles, suggesting its potential as a premium variety for cultivation and use. Future studies should focus on isolating and investigating the newly detected metabolites and exploring the biological effects of these compounds in food applications and other uses. © 2024 Society of Chemical Industry.

Wine metabolome and sensory analyses demonstrate the oenological potential of novel grapevine genotypes for sustainable viticulture in warm climates.

Genetic breeding is essential to develop grapevine genotypes adapted to warm climates and resistant to pathogens. Traditionally cultivated Vitis vinifera is susceptible to biotic and abiotic stresses. Winemakers and consumers, however, perceive wines from non-vinifera or hybrid cultivars as inferior. In this study, sensory analyses and comprehensive metabolite profiling by targeted and untargeted approaches were used to investigate the oenological potential of wines from grapes of genotypes developed throughout four breeding cycles to improve climate adaptation, sugar contents and berry color. Novel genotypes had higher yields and the wines exhibited increased contents of polyphenols, including anthocyanins. Volatile monoterpenes in the wines decreased throughout breeding cycles in the absence of selective pressure. Polyphenol contents were higher in intermediate wines, with hydroxytyrosol contents reaching up to three times reported values. Mouthfeel attributes astringency, leafy taste, flavor and body, and persistency showed significant correlation with untargeted features. Supervised model-based analyses of the metabolome effectively discriminate wines from distinct genetic origins. Taken together, the results demonstrate the potential of novel grapevine genotypes to a more sustainable viticulture and quality wine production in warm climates. Comprehensive metabolite profiling of the wines reveals that genotype clustering is dependent on the chemical class and that traits not submitted to selective pressure are also altered by breeding. Supervised multivariate models were effective to predict the genetic origin of the wines based on the metabolic profile, indicating the potential of the technique to identify biomarkers for wines from sustainable genotypes. © 2024 Society of Chemical Industry.

An Efficient Integrated Strategy for Comprehensive Metabolite Profiling of Sakurasosaponin from Aegiceras corniculatum in Rats.

Sakurasosaponin, a primary bioactive saponin from Aegiceras corniculatum, shows potential as an anti-cancer agent. However, there is a lack of information on its in vivo metabolism. This study aims to profile the in vivo metabolites of sakurasosaponin in rat feces, urine, and plasma after oral administration. An efficient strategy using ultra-high-performance liquid chromatography/quadrupole time-of-flight mass spectrometry was developed, which combined metabolic prediction, multiple mass defects filtering, and highresolution extracted ion chromatograms for rapid and systematic analysis. Firstly, a theoretical list of metabolites for sakurasosaponin was developed. This was done by considering the metabolic pathways of saponins. Next, the multiple mass defects filtering method was employed to identify potential metabolites in feces and urine, using the unique metabolites of sakurasosaponin as multiple mass defects filtering templates. Subsequently, a high-resolution extracted ion chromatogram was used to quickly determine the metabolites in rat plasma post-identification in feces and urine. Lastly, the analysis of accurate mass, typical neutral loss, and diagnostic ion of the candidate metabolites was carried out to confirm their structural elucidation, and metabolic pathways of sakurasosaponin in vivo were also proposed. In total, 30 metabolites were provisionally identified in feces, urine, and plasma. Analysis of metabolic pathways revealed isomerization, deglycosylation, oxidation, hydroxylation, sulfate conjugation, glucuronide conjugation, and other related reactions as the primary biotransformation reactions of sakurasosaponin in vivo. The findings demonstrate that the designed research strategy effectively minimizes matrix interference, prevents the omission of low-concentration metabolites, and serves as a foundation for the discovery of active metabolites of sakurasosaponin.

Chemical Isotope Labeling and Dual-Filtering Strategy for Comprehensive Profiling of Urinary Glucuronide Conjugates.

Glucuronidation, a crucial process in phase II metabolism, plays a vital role in the detoxification and elimination of endogenous substances and xenobiotics. A comprehensive and confident profiling of glucuronate-conjugated metabolites is imperative to understanding their roles in physiological and pathological processes. In this study, a chemical isotope labeling and dual-filtering strategy was developed for global profiling of glucuronide metabolites in biological samples. N,N-Dimethyl ethylenediamine (DMED-d0) and its deuterated counterpart DMED-d6 were used to label carboxylic acids through an amidation reaction. First, carboxyl-containing compounds were extracted based on a characteristic mass difference (Δm/z, 6.037 Da) observed in MS between light- and heavy-labeled metabolites (filter I). Subsequently, within the pool of carboxyl-containing compounds, glucuronides were identified using two pairs of diagnostic ions (m/z 247.1294/253.1665 and 229.1188/235.1559 for DMED-d0/DMED-d6-labeled glucuronides) originating from the fragmentation of the derivatized glucuronic acid group in MS/MS (filter II). Compared with non-derivatization, DEMD labeling significantly enhanced the detection sensitivity of glucuronides, as evidenced by a 3- to 55-fold decrease in limits of detection for representative standards. The strategy was applied to profiling glucuronide metabolites in urine samples from colorectal cancer (CRC) patients. A total of 685 features were screened as potential glucuronides, among which 181 were annotated, mainly including glucuronides derived from lipids, organic oxygen, and phenylpropanoids. Enzymatic biosynthesis was employed to accurately identify unknown glucuronides without standards, demonstrating the reliability of the dual-filtering strategy. Our strategy exhibits great potential for profiling the glucuronide metabolome with high coverage and confidence to reveal changes in CRC and other diseases.

Metabolomics-based profiling of five Salvia L. (Lamiaceae) species using untargeted data analysis workflow.

The genus Salvia L., a member of the family Lamiaceae, is a keystone genus with a wide range of medicinal properties. It possesses a rich metabolite source that has long been used to treat different disorders. Due to a deficiency of untargeted metabolomic profiling in the genus Salvia, this work attempts to investigate a comprehensive mass spectral library matching, computational data annotations, exclusive biomarkers, specific chemotypes, intraspecific metabolite profile variation, and metabolite enrichment by a case study of five medicinal species of Salvia. Aerial parts of each species were subjected to QTRAP liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis workflow based on untargeted metabolites. A comprehensive and multivariate analysis was acquired on the metabolite dataset utilizing MetaboAnalyst 6.0 and the Global Natural Products Social Molecular Networking (GNPS) Web Platform. The untargeted approach empowered the identification of 117 metabolites by library matching and 92 nodes annotated by automated matching. A machine learning algorithm as substructural topic modeling, MS2LDA, was further implemented to explore the metabolite substructures, resulting in four Mass2Motifs. The automated library newly discovered a total of 23 metabolites. In addition, 87 verified biomarkers of library matching, 58 biomarkers of GNPS annotations, and 11 specific chemotypes were screened. Integrative spectral library matching and automated annotation by the GNPS platform provide comprehensive metabolite profiling through a workflow. In addition, QTRAP LC-MS/MS with multivariate analysis unveiled reliable information about inter and intraspecific levels of differentiation. The rigorous investigation of metabolite profiling presents a large-scale overview and new insights for chemotaxonomy and pharmaceutical studies.

Metabolite Profiling of Urban and Forest Tree Rhizosphere Soil using Analytical Instruments

The rhizosphere is the area of the soil affected by plant roots and plays an important role in plant health, nutrient cycling, and soil structure. This study investigated differences in rhizosphere soil metabolites between trees in urban and forest environments using LC/MS-Q-TOF and GC/MS. Urban environments can cause soil pollution and ecosystem disturbance due to the accumulation of heavy metals and petrochemicals, while forest environments are rich in organic matter and fallen leaves, maintaining a nutrient-rich environment in which various microorganisms coexist. Rhizosphere soil samples were collected from Dankook University (city) and Taejo Mountain (forest) in Cheonan, South Korea, extracted using methanol and chloroform using the Soxhlet extraction method, and then analyzed by LC/MS-Q-TOF and GC/MS. N-Nitrosopyrrolidine, a possible carcinogen from automobile exhaust and industrial activities, has been found in the rhizosphere soil of urban trees. Forest rhizosphere samples showed high concentrations of momilactone A, which is important for plant defense mechanisms. 140 significant metabolites were identified through MPP analysis. Furthermore, GC/MS analysis confirmed that siloxanes and oleamides were predominantly detected in urban and forest samples, respectively. Overall, this study highlights the impact of environmental conditions on rhizosphere soil chemistry and microbial ecosystems and provides insights for urban greening and forest conservation strategies. Comprehensive profiling of rhizosphere metabolites will improve our understanding of plant-soil interactions and contribute to maintaining soil health and plant diversity in diverse ecosystems.

Gas chromatography/mass spectrometry-based metabolite profiling of chia and quinoa seeds in comparison with wheat and oat.

With an increasing interest in healthy and affordable cereal intake, efforts are made toward exploiting underutilized cereals with high nutritional values. The current study aims to explore the metabolome diversity in 14 cultivars of chia and quinoa collected from Germany, Austria, and Egypt, compared with wheat and oat as major cereals. The samples were analyzed using gas chromatography-mass spectrometry (GC-MS). Multivariate data analysis (MVA) was employed for sample classification and markers characterization. A total of 114 metabolites were quantified (sugars, alcohols, organic and amino acids/nitrogenous compounds, fatty acids/esters), but the inorganic and phenolic acids were only identified. Fatty acids were the major class followed by amino acids in quinoa and chia. Chia and oats were richer in sucrose. Quinoa encompassed higher amino acids. Quinoa and chia were rich in essential amino acids. Higher levels of unsaturated fatty acids especially omega 6 and omega 9 were detected in quinoa versus omega 3 in chia compared with oat and wheat, whereas ω6/ω3 fatty acid ratio of chia was the lowest. To the best of our knowledge, this is the first comprehensive metabolite profiling of these pseudo cereals. Quinoa and chia, especially red chia, are more nutritionally valuable compared with oat and wheat because of their compositional profile of free amino acids, organic acids, and essential fatty acids, besides their low ω6/ω3 fatty acid ratio. Such results pose them as inexpensive alternative to animal proteins and encourage their inclusion in infant formulas.

UPLC-qTOF-MS phytochemical profile of Commiphora gileadensis leaf extract via integrated ultrasonic-microwave-assisted technique and synthesis of silver nanoparticles for enhanced antibacterial properties

The utilization of metallic nanoparticles in bio-nanofabrication holds significant potential in the field of applied research. The current study applied and compared integrated ultrasonic-microwave-assisted extraction (US/MICE), ultrasonic extraction (USE), microwave-assisted extraction (MICE), and maceration (MAE) to extract total phenolic content (TPC). In addition, the study examined the antioxidant activity of Commiphora gileadensis (Cg) leaf. The results demonstrated that the TPC of US/MICE exhibited the maximum value at 59.34 ± 0.007 mg GAE/g DM. Furthermore, at a concentration of 10 μg/mL, TPC displayed a significant scavenging effect on DPPH (56.69 %), with an EC50 (6.48 μg/mL). Comprehensive metabolite profiling of the extract using UPLC-qTOF-MS/MS was performed to identify active agents. A total of 64 chromatographic peaks were found, out of which 60 were annotated. The most prevalent classes of metabolites found were polyphenols (including flavonoids and lignans), organic compounds and their derivatives, amides and amines, terpenes, and fatty acid derivatives. Transmission electron microscopy (TEM) revealed the aggregate size of the synthesized nanoparticles and the spherical shape of C. gileadensis-mediated silver nanoparticles (Cg-AgNPs). The nanoparticles had a particle size ranging from 7.7 to 42.9 nm. The Cg-AgNPs exhibited more inhibition zones against S. aureus and E. coli. The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of Cg-extract, AgNPs, and Cg-AgNPs were also tested. This study demonstrated the feasibility of using combined ultrasonic-microwave-assisted extraction to separate and extract chemicals from C. gileadensis on a large scale. These compounds have potential use in the pharmaceutical industry. Combining antibacterial and biocompatible properties in materials is vital for designing new materials for biomedical applications. Additionally, the results showed that the biocompatibility of the Ag-NPs using C. gileadensis extracts demonstrated outstanding antibacterial properties.

Metabolite profiling of chemically modified oligonucleotides in rat liver homogenates using hydrophilic interaction liquid chromatography-high resolution mass spectrometry

Chemically modified oligonucleotide is a rapidly emerging field of biotherapeutics. The evaluation of the metabolic stability of therapeutic oligonucleotides is critical. The current methods are limited to the ion-pairing reversed phase chromatographic techniques. Due to complex chemical modifications of therapeutic oligonucleotides and diverse structural changes in their metabolites, comprehensive metabolite profiling is still challenging. Therefore, an alternative analytical method for the metabolism study of oligonucleotides is urgently needed. In this study, a novel hydrophilic interaction liquid chromatography-high resolution mass spectrometry (HILIC-HRMS) method was developed and applied to the metabolism study of two chemically modified oligonucleotides, i.e., N11-GalNAc (phosphorothioate, 2′-F, 2′-OMe, and 3′-GalNAc) and N9 (phosphorothioate, 2′-F), in rat liver homogenates. Highly broad retention of metabolites on the HILIC column was achieved, with truncated metabolite having a single nucleotide being detected. A stepped normalized collisional energy (NCE) in HRMS led to characteristic c/y, d/y, and b/y fragment ion series, and diagnostic fragment ions for linker and GalNAc, which covered the whole sequence of oligonucleotides. A total number of twenty-seven and twenty-nine metabolites were identified in rat liver homogenates for N11-GalNAc and N9, respectively, by using the isotopic envelope of the precursor ion and stepped NCE-based sequence mapping data. The time-dependent production of metabolites was observed. The UCU sequence with the uniform 2′-F modification on ribose was identified as the major metabolic site for N11-GalNAc, and the phosphodiester bonds between nucleosides involving unmodified uracil were identified as the metabolic soft sites for N9. The developed HILIC-HRMS method provided a high coverage of various oligonucleotide metabolites. Characteristic fragment ions enable sequence mapping and therefore unambiguous metabolite identifications. This approach can be broadly applicable to the metabolism study of chemically modified oligonucleotides and the identification of their metabolic soft sites.

Mass spectrometry and Nuclear magnetic resonance spectroscopy profiles of red and pink Rhododendron flower petals establish them as rich sources of bioactive secondary metabolites

AbstractRhododendron petals are considered high‐value owing to their commercial utility, national/state flower status in certain countries, and bioactive potential from recent studies. Profiling and quantitative analysis of the bioactive metabolites would evaluate if they can be natural sources. This study is focused on the comprehensive profiling of secondary metabolites in the hot aqueous petal extracts of Red and Pink Rhododendron flowers (Rhododendron arboreum and Rhododendron campanulatum) using separation and fragmentation patterns from mass spectrometry (MS) (gas chromatography‐MS and liquid chromatography‐tandem MS) and chemical shifts from proton‐nuclear magnetic resonance spectroscopy. The complementary analytical platforms highlighted the petals to be rich in promising bioactive molecules such as quinic acid, chlorogenic acid (caffeoyl quinic acid), protocatechuic acid, coumaroyl quinic acids, catechin, epigallocatechin, and shikimic acid. The analysis also reflected the activity of shikimic acid, phenolic acid, and flavonoid biosynthetic pathways in Rhododendron flowers. These metabolites are well reported for their bioactive potential as anti‐oxidative, anti‐viral, anti‐cancerous, anti‐diabetic, anti‐inflammatory, etc. While the quantitative and multivariate analysis showed variations in the levels of phenolic acids and flavonoids, it is established that red and pink Rhododendron flower petals are a rich source of bioactive phytochemicals of interest to the phytochemical Industry.

Integrated Metabolome and Transcriptome Analyses Reveal That the Flavonoid Metabolic Pathway Is Associated with Pigment Differential Accumulation in Two Colors of Petaloid Staminodes in Canna glauca

Canna glauca, an ornamental plant widely cultivated in aquatic habitats, is notable for its long florescence and showy flowers. The flower of this species is distinguished by its petaloid staminodes, which comprise the majority of the overall floral display. Flavonoids have been reported to be the predominant pigment groups that determine most flower colors. However, the influence of flavonoid metabolic pathways on the flower color of C. glauca remains to be investigated. In this study, comprehensive floral transcriptomes and metabolite profiles of the wild type (yellow flower) and ‘Erebus’ cultivar (pink flower) of C. glauca were analyzed. We identified 432 flavonoid metabolites, including 20 anthocyanins. ‘Erebus’ accumulated higher levels of 18 anthocyanins than the wild type, including 10 cyanidins, 4 pelargonidins, and 4 peonidins. The wild type accumulated higher levels of two malvidins. Through the joint analysis of transcriptomics and metabonomics, we observed a notable association between the expression of three DEGs and eleven anthocyanin levels. Furthermore, we analyzed the expression patterns of key genes that determine flavonoid biosynthesis, such as CHS, CHI, F3′H, and DFR. These findings provide enlightenment on the anthocyanin accumulation of Canna glauca, serving as a basis for exploring biochemical and molecular mechanisms underlying flower coloration.

Abstract 3063: Defining oncogene-specific metabolic vulnerabilities in a mouse model of hepatocellular carcinoma

Abstract Despite the continued success of advanced cancer therapies, hepatocellular carcinoma (HCC) represents a substantial challenge to current treatment modalities that are not sufficiently effective for the management of advanced disease. Metabolic reprogramming is a hallmark of cancer and many oncogenic signaling pathways impact on cellular metabolism. Here, we are investigating changes in metabolism in different oncogene-driven mouse models of liver cancer to identify selective metabolic vulnerabilities associated with HCC that could be implicated in tumor initiation and progression to be exploited for cancer therapy. Transposon-based vectors coding for different combinations of oncogenes, either Myc and Akt1Myr (CaMIA) or Myc and NrasG12V (CaMIN), were transduced by hydrodynamic tail vein injected into C57BL/6 mice. The resulting liver tumors and control livers were subjected to a comprehensive profiling of polar metabolites (metabolomics) and lipids (lipidomics and total fatty acids) as well as changes in gene expression (transcriptomics). Despite similar overall survival, the two models display marked differences in the presentation of the tumors, with CaMIA showing larger aggressive tumors, while CaMIN livers contain numerous small tumor nodules. Both models also showed evidence for the deregulation of intermediate metabolism, indicating activation of aerobic glycolysis and deregulation of glutamine metabolism. Lipidomic analysis revealed substantial lipidome remodeling in both models. Oncogene-specific alterations included elevated levels of lysophosphatidylcholine (LPC) in CaMIN tumors, while CaMIA tumors displayed high levels of ether phospholipids compared to CaMIN and normal liver. Moreover, the fraction of polyunsaturated fatty acids (PUFAs) was enhanced in lipids from CaMIN tumors, while monounsaturated fatty acids (MUFAs) were enriched in CaMIA tumors. Furthermore, tumors from both genotypes produced higher levels of oxylipins, a class of lipid mediators involved in signaling and inflammation, compared to normal liver. Transcriptome analysis confirmed these metabolic alterations and revealed evidence for enhanced inflammatory signaling in CaMIN. In addition, analysis of tumor microenvironment composition disclosed specific differences in stromal components, indicative of immune evasion through checkpoint activation. Experiments in primary murine liver cancer cell lines confirmed oncogene-specific metabolic rearrangements and suggest elevated sensitivity towards inhibitors of lipid remodeling. Future experiments will investigate the role of altered lipid metabolism in tumor development and immune evasion in liver cancer. Citation Format: Kamal Al-Shami, Marteinn Snaebjornsson, Felix Vogel, Lisa Schlicker, Phillip Pöller, Daniel Dauch, Almut Schulze. Defining oncogene-specific metabolic vulnerabilities in a mouse model of hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3063.

Recent progress in metabolomics for analyzing common infertility conditions that affect ovarian function.

Numerous efforts have been undertaken to identify biomarkers associated with embryo and oocyte quality to improve the success rate of invitro fertilization. Metabolomics has gained traction for its ability to detect dynamic biological changes in real time and provide comprehensive metabolite profiles. This review synthesizes the most recent findings on metabolomic analysis of follicular fluid (FF) in clinical conditions leading to infertility, with a focus on the dynamics of energy metabolism and oocyte quality, and discusses future research directions. A literature search was conducted without time constraints. The metabolites present in FF originate from five primary pathways: glycolysis, oxidative phosphorylation, lipid metabolism and β-oxidation, nucleic acid synthesis, and ketogenesis. Metabolomic profiling can broadly categorize infertile women into two groups: those with infertility due to aging and endometriosis, and those with infertility associated with polycystic ovarian syndrome and obesity. In the former group, glycolysis and lipid metabolism are upregulated to compensate for mitochondrial dysfunction, whereas the latter group exhibits the opposite trend. Assessing the levels of glucose, pyruvate, lactate, and plasmalogens in FF may be valuable for evaluating oocyte quality. Metabolomic analysis, particularly focusing on energy metabolism in FF, holds promise for predicting female reproductive outcomes.

A metabolomics approach for the evaluation of Ficus benghalensis female in vivo reproductive effects relative to its metabolite fingerprint as determined via UPLC-MS and GC-MS

Ethnopharmacological relevanceFicus benghalensis, commonly known as Banyan Fig, is the national tree of India and its aerial roots are used traditionally to treat female reproductive disorders. However, despite this traditional use, no pharmacological evidence could be traced supporting this use. Additionally, no comprehensive metabolite profiling was reported for F. benghalensis aerial roots. Aim of the studyThis study attempts to justify biochemically the traditional use of F. benghalensis aerial roots in treatment of female reproductive disorders and in relation to its secondary metabolite profile. Materials and methodsTotal ethanol extract (TEE) and subfractions [petroleum ether (PEF), chloroform (CHF), ethyl acetate (EAF) and n-butanol (BUF] were prepared from air-dried powdered aerial roots of F. benghalensis. Detailed in-vivo investigation of the hormonal activity and action mechanism of the total ethanol extract and subfractions was carried out through evaluation of estrogenic and gonadotropic activities. The estrogenic activity was evaluated on ovariectomized immature female rats through estimating uterine weight, vaginal cornification and serum estradiol level along with histological examination of uteri. The gonadotropic activity was measured by assay of follicle stimulating hormone (FSH) and luteinizing hormone (LH) like activities. Total follicular and corpora lutea counts in immature female rats were used to determine FSH and LH like activities, respectively in addition to histological picture of the genitalia. Comprehensive non-targeted metabolite profiling was carried out for the TEE and subfractions using UPLC-HRMS in negative and positive ionization modes. UPLC-MS fingerprint was subjected to principal component analysis (PCA) and partial least squares analyses to correlate the bioactivities to specific chemical constituents in F. benghalensis different subfractions. GC-MS was further used for non-polar silylated fractions. ResultsResults revealed that only the non-polar PEF and CHF displayed moderate estrogenic and FSH-like activities but with no LH-like activity. Metabolites profiling via (UPLC-HRMS) and multivariate PCA analysis enabled identification and comparison of various chemical classes in F. benghalensis extract and fractions. The active non-polar fractions revealed nearly similar metabolites profile being composed of isoflavonoids, triterpenes, sterols, fatty acids and cyclic peptides. In contrast, polar fractions were more abundant in apocarotenoids, fatty acyl amides, hydroxybenzoates and hydroxycinnamates in addition to two lignans. PLS analysis revealed strong correlation between hydroxylated fatty acids and pyranoisoflavones with estrogenic and FSH-like activities. GC-MS analysis was further employed for non-polar fractions profiling revealing for their enrichment in fatty acids/esters, terpenes, organic acids and phenolics. ConclusionThis is the first study to rationalize the use of F. benghalensis aerial root traditionally in treatment of gynecological disorders, revealing that the petroleum ether and chloroform non-polar subfractions of F. benghalensis showed estrogenic and FSH-like activity with absence of LH-like activity. This biological activity could possibly be attributed to its metabolites profile of isoflavonoids, fatty acids, triterpenes, sterols and cyclic peptides identified via UPLC-MS and GC-MS techniques. Consequently, F. benghalensis aerial roots should be used with caution in traditional treatment of female infertility or other reproductive disorders.

In vivo comprehensive metabolite profiling of esculetin and esculin derived from chicory in hyperuricemia rats using ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap high-resolution mass spectrometry.

Chicory, renowned for its multifaceted benefits, houses two vital coumarins, esculetin and esculin, both instrumental in reducing uric acid. This study emphasizes the metabolic pathways of esculetin and esculin under both standard and hyperuricemia conditions. Hyperuricemia was induced in Sprague-Dawley rats using oxonic acid potassium salt (300mg·kg-1 ) and a 10% fructose water regimen over 21 days. Leveraging the ultra-high-performance liquid chromatography-Q Exactive hybrid quadrupole-orbitrap high resolution mass spectrometry, we analyzed the fragmentation behaviors of esculetin and esculin in rat bio-samples. Post oral-intake of esculetin or esculin, a notable dip in serum uric acid levels was observed in hyperuricemia rats. The investigation unveiled 24 esculetin metabolites and 14 for esculin. The metabolic pathways of both compounds were hydrolysis, hydroxylation, hydrogenation, dehydroxylation, glucuronidation, sulfation, and methylation. Interestingly, certain metabolites presented variations between standard and hyperuricemia rats, indicating that elevated levels of uric acid may affect enzyme activity linked to these metabolic reactions. This is the first systematic study on comparison of metabolic profiles of esculetin and esculin in both normal and hyperuricemia states, which was helpful to enrich our understanding of the complicated structure-activity relationships between esculin and esculetin and shed light to their action mechanism.

Unveiling Disrupted Lipid Metabolism in Benign Prostate Hyperplasia, Prostate Cancer, and Metastatic Patients: Insights from a Colombian Nested Case-Control Study.

Prostate cancer is a significant global health concern, and its prevalence is increasing worldwide. Despite extensive research efforts, the complexity of the disease remains challenging with respect to fully understanding it. Metabolomics has emerged as a powerful approach to understanding prostate cancer by assessing comprehensive metabolite profiles in biological samples. In this study, metabolic profiles of patients with benign prostatic hyperplasia (BPH), prostate cancer (PCa), and metastatic prostate cancer (Met) were characterized using an untargeted approach that included metabolomics and lipidomics via liquid chromatography and gas chromatography coupled with high-resolution mass spectrometry. Comparative analysis among these groups revealed distinct metabolic profiles, primarily associated with lipid biosynthetic pathways, such as biosynthesis of unsaturated fatty acids, fatty acid degradation and elongation, and sphingolipid and linoleic acid metabolism. PCa patients showed lower levels of amino acids, glycerolipids, glycerophospholipids, sphingolipids, and carnitines compared to BPH patients. Compared to Met patients, PCa patients had reduced metabolites in the glycerolipid, glycerophospholipid, and sphingolipid groups, along with increased amino acids and carbohydrates. These altered metabolic profiles provide insights into the underlying pathways of prostate cancer's progression, potentially aiding the development of new diagnostic, and therapeutic strategies.