Quantitative Metabolomic Analysis Research Articles

Succinate supplementation alleviates liver cancer by inhibiting the FN1/SQLE axis-mediated cholesterol biosynthesis.

Succinate is a crucial metabolite in the TCA cycle and contributes to cancer development. However, the role of exogenous succinate in hepatocellular carcinoma (HCC) is unclear. Here, we report that the concentration of succinate in HCC tissues is lower compared to adjacent normal tissues, as determined by spatial metabolomics and quantitative metabolomics analysis. Succinate supplementation exhibits an anti-tumorigenic effect, inhibiting cell proliferation and colony formation in liver cancer cells but not in non-tumor LO2 cells. Additionally, succinate supplementation significantly reduces tumor formation in xenograft nude mice models and carcinogen-induced WT mice models. The anti-tumorigenic function of succinate is mechanistically mediated by FN1-activated SQLE-related cholesterol biosynthesis. Our study demonstrates that exogenous succinate acts as a cholesterol biosynthesis inhibitor to suppress HCC both invitro and invivo, highlighting its potential therapeutic applications.

Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming.

Repeated antigen exposure leads to T-cell exhaustion, a transcriptionally and epigenetically distinct cellular state marked by loss of effector functions (e.g., cytotoxicity, cytokine production/release), up-regulation of inhibitory receptors (e.g., PD-1), and reduced proliferative capacity. Molecular pathways underlying T-cell exhaustion have been defined for CD8+ cytotoxic T cells, but which factors drive exhaustion in CD4+ T cells, that are also required for an effective immune response against a tumor or infection, remains unclear. Here, we utilize quantitative proteomic, phosphoproteomic, and metabolomic analyses to characterize the molecular basis of the dysfunctional cell state induced by chronic stimulation of CD4+ memory T cells. We identified a dynamic response encompassing both known and novel up-regulated cell surface receptors, as well as dozens of unexpected transcriptional regulators. Integrated causal network analysis of our combined data predicts the histone acetyltransferase p300 as a driver of aspects of this phenotype following chronic stimulation, which we confirmed via targeted small molecule inhibition. While our integrative analysis also revealed large-scale metabolic reprogramming, our independent investigation confirmed a global remodeling away from glycolysis to a dysfunctional fatty acid oxidation-based metabolism coincident with oxidative stress. Overall, these data provide both insights into the mechanistic basis of CD4+ T-cell exhaustion and serve as a valuable resource for future interventional studies aimed at modulating T-cell dysfunction.

COLMAR1d: A Web Server for Automated, Quantitative One-Dimensional Nuclear Magnetic Resonance-Based Metabolomics at Arbitrary Magnetic Fields.

The field of metabolomics, which is quintessential in today's omics research, involves the large-scale detection, identification, and quantification of small-molecule metabolites in a wide range of biological samples. Nuclear magnetic resonance spectroscopy (NMR) has emerged as a powerful tool for metabolomics due to its high resolution, reproducibility, and exceptional quantitative nature. One of the key bottlenecks of metabolomics studies, however, remains the accurate and automated analysis of the resulting NMR spectra with good accuracy and minimal human intervention. Here, we present the COLMAR1d platform, consisting of a public web server and an optimized database, for one-dimensional (1D) NMR-based metabolomics analysis to address these challenges. The COLMAR1d database comprises more than 480 metabolites from GISSMO enabling a database query of spectra measured at arbitrary magnetic field strengths, as is demonstrated for spectra acquired between 1H resonance frequencies of 80 MHz and 1.2 GHz of mouse serum, DMEM cell growth medium, and wine. COLMAR1d combines the GISSMO metabolomics database concept with the latest tools for automated processing, spectral deconvolution, database querying, and globally optimized mixture analysis for improved accuracy and efficiency. By leveraging advanced computational algorithms, COLMAR1d offers a user-friendly, automated platform for quantitative 1D NMR-based metabolomics analysis allowing a wide range of applications, including biomarker discovery, metabolic pathway elucidation, and integration with multiomics strategies.

GmSTOP1-3 regulates flavonoid synthesis to reduce ROS accumulation and enhance aluminum tolerance in soybean

Aluminum (Al) toxicity is a significant limiting factor for crop production in acid soils. The functions and regulatory mechanisms of transcription factor STOP1 (Sensitive to Proton Rhizotoxicity 1) family genes in Al-tolerance have been widely studied in many plant species, except for soybean. Here, expression of GmSTOP1–3 was significantly enhanced by Al stress in soybean roots. Overexpression of GmSTOP1–3 resulted in enhanced root elongation and decreased Al content, which was accompanied by increased antioxidant capacity under Al treatment. Furthermore, RNA-seq identified 498 downstream genes of GmSTOP1–3, including genes involved in flavonoid biosynthesis. Among them, the expression of chalcone synthase (GmCHS) and isoflavone synthase (GmIFS) were highly enhanced by GmSTOP1–3 overexpression. Further quantitative flavonoid metabolome analysis showed that overexpression of GmSTOP1–3 significantly increased the content of naringenin chalcone, naringenin, and genistein in soybean roots under Al treatment, which positively correlated with the expression level of the genes relative to flavonoid biosynthesis. Notably, genistein had a significant positive correlation with the expression levels of GmIFS. Combination of Dual Luciferase Complementation (LUC) and Electrophoretic Mobility Shift Assays (EMSA) revealed that GmSTOP1–3 directly bound to the promoters of GmCHS/GmIFS and activated both genes’ transcription. Taken together, these results suggest that GmSTOP1–3 enhances soybean Al tolerance partially through regulating the flavonoid synthesis.

Metabolic landscaping of extracellular vesicles from body fluids by phosphatidylserine imprinted polymer enrichment and mass spectrometry analysis

Extracellular vesicles (EVs) are emerging as new source of biomarkers discovery in liquid biopsy due to their stabilization in body fluids, protected by phospholipid bilayers. However, the metabolomics study of EVs is very little reported due to the lack of efficient and high-throughput isolation methods for clinical samples. In this study, phosphatidylserine imprinted polymers were employed for rapid and efficient EVs isolation from five human body fluids, including plasma, urine, amniotic fluid, cerebrospinal fluid, and saliva. The isolated EVs were subsequently analyzed for metabolomic studies by high-resolution mass spectrometry. Metabolic landscaping was conducted between the body fluids and their EVs, indicating EVs contain a large number of metabolites that are completely specific to the body fluid source. Finally, quantitative metabolomic analysis of EVs was carried out with plasma samples of hepatocellular carcinoma. Several differentially expressed exosomal metabolites were revealed including the upregulation of sphingosine (d18:1), taurochenodeoxycholic acid (TCDCA), pipecolic acid (PA), and 4-hydroxynonenal (4-HNE) and down-regulation of piperine, caffeine, and indole. We believe the proposed methodology will provide a deeper understanding of the molecular composition and functions of EVs as an alternative source for biomarker discovery.

PSV-2 Rumen fluid metabolomics of dairy cows fed combinations of essential oil blend, onion peel extract and prebiotics using the RUSITEC system

Abstract Dairy products have a crucial role in the diets of over 6 billion people worldwide, providing essential nutrients such as energy, high-quality protein, and micronutrients. With dairy cows accounting for nearly 81% of global milk production, strategies to increase milk production sustainably are vital, especially with the U.S. being the second-largest producer. Essential oil blends (EOB), onion peel extract (OPE), and prebiotics such as mannan oligosaccharides (MOS) and galacto-oligosaccharides (GOS) offer promising avenues to enhance bovine milk production. These additives have the potential to modify rumen ecology and fermentation activity, while also mitigating greenhouse gas emissions in dairy cows. Therefore, this study investigated the effects of combining EOB, OPE, GOS, and/or MOS on specific rumen metabolites and metabolic pathways using the rumen simulation technique (RUSITEC) system. Rumen-cannulated non-lactating Holstein Friesian cows (n = 3) were used as rumen fluid donors. Total mixed ration (TMR) consisted of corn silage (60%), alfalfa hay (20%), and concentrate (20%). Using a completely randomized design, 16 fermentation vessels were divided into 4 groups with 4 replicates each over a 9-d period. The treatments included a control group (CON; TMR only), GEO (TMR+GOS+EOB+OPE), MEO (TMR+MOS+EOB+OPE), and OLEO (TMR+OLG+EOB+OPE). The EOB comprised of garlic, lemongrass, cumin, lavender, and nutmeg (4:2:2:1:1), while OLG contained GOS and MOS in equal proportions. EOB was added at 10 µL/g, and OPE, GOS, MOS, and OLG were included at 30 mg/g TMR. Rumen effluents were collected over 5 d for quantitative untargeted metabolome analysis. Analysis of rumen effluents using liquid chromatography-mass spectrometry and MetaboAnalyst 5.0 revealed 495 detected and identified metabolites. Volcano plot analysis showed no significant differences (P ≥ 0.05) in metabolite abundance between the CON and MEO, GEO, or OLEO treatments. Partial least squares-discriminant analysis (PLS-DA) also indicated no clear separation between the CON and treatment groups, suggesting no significant alteration in the metabolome. Compared with CON, the relative concentrations of dopamine 4-O-glucuronide, proline, and histamine were less while pyrocatechol was greater in MEO group. Isomer 1 of 2-hydroxyhepta-2,4-dienedioic acid, histamine, and dopamine 4-O-glucuronide were less while 2-aminomuconic acid and isomer 1 of hulupinic acid were greater in the GEO group. Histamine was less and hydroxypyridine was greater in the OLEO group. Phosphonate and phosphinate metabolism tended to be upregulated in OLEO. Meanwhile, metabolic pathways related to amino acids, vitamins, nitrogen metabolism, and primary bile acid biosynthesis remained unaltered by MEO, GEO and OLEO treatments. In summary, the study demonstrated that the inclusion of MEO, GEO, and OLEO had no adverse effects on rumen metabolites. Future research should focus on combinations of nutraceuticals that could positively impact nutrient metabolism and production performance of dairy cows.

Quantitative metabolomic analysis of yolk granules from different poultry eggs

A systematic comparison of the nutrient composition of yolk granules from different poultry egg sources may provide a reference for the development of nutritionally balanced foods with high protein, low fat, and low cholesterol content. The metabolomic profiles of chicken, duck, and quail egg yolk granules were analysed quantitatively using UPLC-MS/MS. A total of 820 metabolites were identified, with amino acids and their metabolites (232), glycerophospholipids (121), and organic acids and their derivatives (96), representing the three most abundant metabolite classes in egg yolk granules. The quantitative results demonstrated that amino acids and their metabolites, as well as glycerophospholipids (GP), exhibited significant differences among the three egg yolk granules. A total of 13 coenzymes and vitamins were identified in the three egg yolk granules, with the majority belonging to the B vitamins and their derivatives. A total of 11 bile acids were identified in the three egg yolk granules, including four primary and seven secondary bile acids. A total of 20 significantly different metabolites were preliminarily identified as potential markers for the differentiation of poultry egg yolk granules. This information provides crucial insights into the nutritional composition of egg yolk granules from diverse sources.

Neurodevelopment and Metabolism in the Maternal-Placental-Fetal Unit.

Disturbances in maternal, placental, and fetal metabolism are associated with developmental outcomes. Associations of maternal, placental, and fetal metabolism with subsequent neurodevelopmental outcomes in the child are understudied. To investigate the metabolic associations within the maternal-placental-fetal unit and subsequent neurodevelopmental outcomes in younger siblings of children with autism spectrum disorder (ASD). This cohort study was conducted within a subset of the Markers of Autism Risk in Babies, Learning Early Signs (MARBLES) cohort. MARBLES is a prospective birth cohort of younger siblings of children with ASD assessed for neurodevelopmental outcomes at approximately age 36 months. Participants in MARBLES were recruited through the UC Davis MIND Institute. This subset of the MARBLES cohort included younger siblings born between 2009 and 2015. Maternal third trimester serum, placental tissue, and umbilical cord serum samples were collected from participants. Only pregnancies with at least 2 of these sample types were included in this analysis. Data analysis was conducted from March 1, 2023, to March 15, 2024. Quantitative metabolomics analysis was conducted on maternal third trimester serum, as well as placental tissue and umbilical cord serum collected at delivery. Using the Autism Diagnostic Observation Schedule and Mullen Scales of Early Learning, outcomes were classified as ASD, other nontypical development (non-TD), and typical development (TD). This analysis included 100 maternal serum samples, 141 placental samples, and 124 umbilical cord serum samples from 152 pregnancies (median [IQR] maternal age, 34.6 [30.8-38.3] years; median [IQR] gestational age, 39.0 [38.6-39.7] weeks; 87 [57.2%] male infants). There was no evidence that the maternal third trimester serum metabolome was significantly associated with the other metabolomes. The placental and cord serum metabolomes were highly correlated (first latent variate pair: R2 = 0.75; P < .001) and the variate scores for each tissue were significantly associated with reduced risk of non-TD (placenta: relative risk [RR], 0.13; 95% CI, 0.02-0.71; cord: RR, 0.13; 95% CI, 0.03-0.70) but not ASD (placenta: RR, 1.09; 95% CI, 0.42-2.81; cord: RR, 0.63; 95% CI, 0.23-1.73) compared with the TD reference group. In this cohort study of children with high familial risk of ASD, placental and cord serum metabolism at delivery were highly correlated. Furthermore, placental and cord serum metabolic profiles were associated with risk of non-TD.

Metabolite profiling of human renal cell carcinoma reveals tissue-origin dominance in nutrient availability.

The tumor microenvironment is a determinant of cancer progression and therapeutic efficacy, with nutrient availability playing an important role. Although it is established that the local abundance of specific nutrients defines the metabolic parameters for tumor growth, the factors guiding nutrient availability in tumor compared to normal tissue and blood remain poorly understood. To define these factors in renal cell carcinoma (RCC), we performed quantitative metabolomic and comprehensive lipidomic analyses of tumor interstitial fluid (TIF), adjacent normal kidney interstitial fluid (KIF), and plasma samples collected from patients. TIF nutrient composition closely resembles KIF, suggesting that tissue-specific factors unrelated to the presence of cancer exert a stronger influence on nutrient levels than tumor-driven alterations. Notably, select metabolite changes consistent with known features of RCC metabolism are found in RCC TIF, while glucose levels in TIF are not depleted to levels that are lower than those found in KIF. These findings inform tissue nutrient dynamics in RCC, highlighting a dominant role of non-cancer-driven tissue factors in shaping nutrient availability in these tumors.

Lipopolysaccharide-induced alterations in the liver metabolome of St. Croix and Suffolk sheep

The development of resistance in parasites due to overuse of anthelmintics has resulted in a marked decrease in the efficacy of these drug classes. Recent research efforts have focused on exploring alternatives such as selection for parasite-resistant breeds with the implication that immunocompetence may align with parasite resistance. Two breeds that are often investigated are the St. Croix (STC), a resistant hair breed, and Suffolk (SUF), a susceptible wool breed sheep. The liver plays a vital role in metabolism in the body and metabolizes lipopolysaccharide (LPS), which triggers whole body response through the production of appropriate metabolites, cytokines and immune cells. The objective of this study was to investigate the breed differences in liver metabolome of sheep, with divergent resistance to parasites, in response to LPS. Both STC and SUF sheep (n = 9/breed) were challenged with LPS intravenously. Rectal temperatures and sheep grimace score (SGS) were recorded hourly, for each animal, and averaged across the study for both breeds. The average rectal temperature throughout the study was similar for STC and SUF sheep (40.4°C and 40.2°C respectively), but the pattern of response was different. STC had an average SGS of 0.8 while SUF had an average of 3.3. Liver biopsies were collected from 3 sheep that were not challenged with LPS (HR0; n = 3/breed), two hours post-challenge (HR2; n = 3/breed), and six hours post-challenge (HR6; n = 3/breed). Liver tissue samples were subjected to quantitative untargeted metabolome analysis using chemical isotope labeling/liquid chromatography-mass spectrometry. Pathway analysis of the HR0 metabolome data revealed that 8 pathways (and their associated metabolites) including beta-alanine metabolism, arginine and proline metabolism and glutathione metabolism were altered (false discovery rate-adjusted P-value (FDR) ≤ 0.05) between STC and SUF sheep. At HR2, 10 altered pathways such as folate biosynthesis, taurine and hypotaurine metabolism, and glutathione metabolism. At HR6, only 2 pathways (glycerophospholipid metabolism and purine metabolism) were altered (FDR ≤ 0.05) between STC and SUF sheep. Results highlight the differences in hepatic metabolome and physiological response to LPS challenge that exist between SUF and STC. These findings suggest breed-specific differences in metabolic response to immune challenge, potentially influencing the divergent resistance of the two breeds to parasitic infections.

Metabolite profiling of human renal cell carcinoma reveals tissue-origin dominance in nutrient availability

The tumor microenvironment is a determinant of cancer progression and therapeutic efficacy, with nutrient availability playing an important role. Although it is established that the local abundance of specific nutrients defines the metabolic parameters for tumor growth, the factors guiding nutrient availability in tumor compared to normal tissue and blood remain poorly understood. To define these factors in renal cell carcinoma (RCC), we performed quantitative metabolomic and comprehensive lipidomic analyses of tumor interstitial fluid (TIF), adjacent normal kidney interstitial fluid (KIF), and plasma samples collected from patients. TIF nutrient composition closely resembles KIF, suggesting that tissue-specific factors unrelated to the presence of cancer exert a stronger influence on nutrient levels than tumor-driven alterations. Notably, select metabolite changes consistent with known features of RCC metabolism are found in RCC TIF, while glucose levels in TIF are not depleted to levels that are lower than those found in KIF. These findings inform tissue nutrient dynamics in RCC, highlighting a dominant role of non-cancer-driven tissue factors in shaping nutrient availability in these tumors.

Quantitative Metabolomic Analysis of the Rat Hippocampus: Effects of Age and of the Development of Alzheimer's Disease-Like Pathology.

Alzheimer's disease (AD) is the most common type of dementia in the elderly. Incomplete knowledge about the pathogenesis of this disease determines the absence of medications for the treatment of AD today. Animal models can provide the necessary knowledge to understand the mechanisms of biochemical processes occurring in the body in health and disease. To identify the most promising metabolomic predictors and biomarkers reflecting metabolic disorders in the development of AD signs. High resolution 1H NMR spectroscopy was used for quantitative metabolomic profiling of the hippocampus of OXYS rats, an animal model of sporadic AD, which demonstrates key characteristics of this disease. Animals were examined during several key periods: 20 days group corresponds to the "preclinical" period preceding the development of AD signs, during their manifestation (3 months), and active progression (18 months). Wistar rats of the same age were used as control. Ranges of variation and mean concentrations were established for 59 brain metabolites. The main metabolic patterns during aging, which are involved in energy metabolism pathways and metabolic shifts of neurotransmitters, have been established. Of particular note is the significant increase of scyllo-inositol and decrease of hypotaurine in the hippocampus of OXYS rats as compared to Wistars for all studied age groups. We suggest that the accumulation of scyllo-inositol and the reduction of hypotaurine in the brain, even at an early age, can be considered as predictors and potential biomarkers of the development of AD signs in OXYS rats and, probably, in humans.

Proteomic analysis reveals that the co-ordination of cytosolic and mitochondrial pathways is beneficial for sabinene biosynthesis in engineered Saccharomyces cerevisiae.

Reconstruction and optimization of biosynthetic pathways can help to overproduce target chemicals in microbial cell factories based on genetic engineering. However, the perturbation of biosynthetic pathways on cellular metabolism is not well investigated and profiling the engineered microbes remains challenging. The rapid development of omics tools has the potential to characterize the engineered microbial cell factory. Here, we performed label-free quantitative proteomic analysis and metabolomic analysis of engineered sabinene overproducing Saccharomyces cerevisiae strains. Combined metabolic analysis andproteomic analysis of targeted mevalonate (MVA) pathway showed that co-ordination of cytosolic and mitochondrial pathways had balanced metabolism, and genome integration of biosynthetic genes had higher sabinene production with less MVA enzymes. Furthermore, comparative proteomic analysis showed that compartmentalized mitochondria pathway had perturbation on central cellular metabolism. This study provided an omics analysis example for characterizing engineered cell factory, which can guide future regulation of the cellular metabolism and maintaining optimal protein expression levels for the synthesis of target products.

Quantitative proteomics and metabolomics analysis reveals the response mechanism of alfalfa (Medicago sativa L.) to o-coumaric acid stress

O-coumaric acid (OCA), as a significant phenolic allelochemical found in hairy vetch (Vicia villosa Roth.), that can hinder the growth of alfalfa (Medicago sativa L.), particularly the growth of alfalfa roots. Nonetheless, the mechanism by which OCA inhibits alfalfa root growth remains unclear. In this study, a liquid chromatography tandem mass spectrometry (LC-MS/MS)-based quantitative proteomics analysis was carried out to identify differentially accumulated proteins (DAPs) under OCA treatment. The findings indicated that 680 proteins were DAPs in comparison to the control group. Of those, 333 proteins were up-regulated while 347 proteins were down-regulated. The enrichment analysis unveiled the significance of these DAPs in multiple biological and molecular processes, particularly in ribosome, phenylpropanoid biosynthesis, glutathione metabolism, glycolysis/gluconeogenesis and flavonoid biosynthesis. The majority of DAPs reside in the cytoplasm (36.62%), nucleus (20.59%) and extracellular space (14.12%). In addition, phenylalanine deaminase was identified as a potential chemical-induced regulation target associated with plant lignin formation. DAPs were mainly enriched in flavonoid biosynthesis pathways, which were related to plant root size. Using the UPLC-ESI-MS/MS technique and database, a total of 87 flavonoid metabolites were discovered. The metabolites were predominantly enriched for biosynthesizing naringenin chalcone, which was linked to plant lignin formation, aligning with the enrichment outcomes of DAPs. Consequently, it was deduced that OCA impacted the structure of cell walls by mediating the synthesis of lignin in alfalfa roots, subsequently inducing wilt. Furthermore, a range of proteins have been identified as potential candidates for the breeding of alfalfa strains with enhanced stress tolerance.

Metformin-Induced Ferroptosis Is a Therapeutic Vulnerability in IDH2-Mutant AML Linked to Metabolic Rewiring Towards Fatty Acid Oxidation

Metabolic rewiring is an essential feature of leukemic cells to sustain tumorigenesis and is largely influenced by mutational status. We previously demonstrated this phenomenon in FLT3-ITD acute myeloid leukemia (AML) upon combined inhibition of complex II activity and lactate import (Erdem et al., 2022). Mutations in isocitrate dehydrogenase ( IDH1/2mut) occur in about 20% of AML cases, and despite the emergence of targeted therapies, patients often relapse. The molecular and epigenetic outcomes of 2-R-hydroxyglutarate accumulation and competitive inhibition of histone demethylases have been extensively studied in IDH1/2mut AMLs, but the metabolic consequences are still largely unexplored. Here, we applied multi-omics studies on cell line models and primary AML samples combined with functional studies to unravel the metabolic rewiring of IDH1/2mut AMLs. Transcriptional characterization of isogenic TF1 wt and IDH2R140Q cell lines (10978 genes) revealed increased expression of CD36, a major fatty acid (FA) transporter, and gene set enrichment analysis (GSEA) associated IDH2R140Q cells with terms related to FA processes and activity of mitochondrial complex I. Quantitative metabolome analysis of TF1 wt and IDH2R140Q (180 metabolites) revealed lower levels of acylcarnitines of variable carbon lengths, suggesting increased FA oxidation, and upregulation of glycerophospholipid and glycerolipid metabolism in IDH2R140Q cells. Next, we validated our findings by performing a metabolomic profiling (172 metabolites) on primary AML samples (n=26, including 4 IDH1mut and 2 IDH2mut), for which label-free quantitative proteome data (11272 proteins) was also generated. Proteome analysis confirmed increased CD36 expression and enrichment for FA and mitochondrial processes in IDH1/2mut patients. In line, metabolome data also revealed increased oxidation of branched-chain FAs in this sample group. Altogether, these findings suggested a profound disturbance in lipid metabolism and supported the notion that IDH1/2 mutant cells rely on mitochondrial respiration, whereby FAs seem to be the preferred carbon source. Next, we performed an in vitro drug screen targeting the main metabolic pathways, which revealed increased sensitivity of IDH2R140Q cells to the FDA-approved complex I inhibitor metformin. Extracellular flux analysis indicated no significant difference in the oxygen consumption rate (OCR) between TF1 wt and IDH2R140Q upon metformin treatment, while the viability of mutant cells was significantly diminished. Contrarily, the basal extracellular acidification rate (ECAR) was increased in TF1 wt cells upon complex I inhibition, suggesting that these cells rewire their metabolism towards glycolysis more efficiently than mutant cells. Furthermore, we knocked down CD36 expression to investigate whether disrupting lipid metabolism in IDH2R140Q cells would constitute a metabolic vulnerability. Notably, CD36 knockdown resulted in increased resistance to metformin in IDH2R140Q cells. These data suggested that enhanced lipid uptake mediated by CD36 in IDH2R140Q cells not only boosts OCR but may also disrupt lipid homeostasis, causing cells to become more susceptible to lipid peroxidation. Since the role of metformin-induced ferroptosis in AML is still unclear, we performed an RNA-seq analysis on TF1 wt and IDH2R140Q cells treated with metformin (5 mM) for 72 hours (10326 genes). Single-sample GSEA associated the transcriptome of metformin-treated cells with ferroptosis signatures in both cell lines but to a significantly higher extent in IDH2R140Q. We functionally validated this finding by using the BODIPY C11 probe, a lipid peroxidation sensor. After 24h of metformin treatment, both TF1 wt and IDH2R140Q displayed increased lipid ROS. Lipid peroxidation levels were further enhanced by combining metformin with palmitate, a saturated FA, supporting the notion that elevated lipid availability and uptake may increase cell death via ferroptosis. Altogether, we identified a new metabolic vulnerability in IDH1/2mut AMLs associated with a profound disturbance in lipid metabolism. Moreover, we show that treatment with metformin not only inhibits complex I but also induces cell death via ferroptosis in IDH2mut cells providing an alternative treatment option in combination with available IDH2mut targeted therapies for this subgroup of patients.

Research Note: Comparison of water-soluble metabolites in egg yolk, yolk granules, and yolk plasma based on quantitative metabolomic analysis

Egg yolk (EY) can be divided into yolk granules (EYG) and yolk plasma (EYP) after water dilution and centrifugation. EYP had a significantly higher lipid content and is predominantly in the form of low-density lipoprotein (LDL) while EYG has a higher protein content. In order to explore the nutritional differences between EY, EYP and EYG, quantitative metabolomic analysis was carried out by ultra-high-performance liquid chromatography/tandem mass spectrometry (UHPLC-MS/MS). The results showed that a total of 588 small molecule metabolites were identified, mainly glycerol phospholipids (51.59-66.46%), coenzymes, and vitamins (1.21-1.84%). A quantitative comparison showed that amino acids and their metabolites were the most representative metabolites of differential abundance in the contrast of EY and EYG, EYP and EYG. Carbohydrates and their metabolites were the representative metabolites of differential abundance between EY and EYP. The study provided important information for understanding the metabolic composition of EY, EYG, and EYP, as well as providing a reference for utilizing the whole egg.

Hepatic transcriptome discloses the potential targets of Xuefu Zhuyu Decoction ameliorating non-alcoholic fatty liver disease induced by high-fat diet

Background and AimXuefu Zhuyu decoction (XZD), a traditional Chinese medicinal formula, was firstly recorded in the Qing dynasty of ancient China and previously demonstrated to ameliorate hepatic steatosis. In the present study, the effects of XZD on non-alcoholic fatty liver disease (NAFLD) induced by high-fat diet (HFD) were evaluated in mice and the hepatic transcriptome was detected to disclose the potential mechanisms of XZD. Experimental procedureThe effects of XZD (low- and high-dosage) on NAFLD induced by HFD for 16 weeks were evaluated. Obeticholic acid was used as control drug. Body weight, food intake and index of homeostatic model assessment for insulin resistance (HOMA-IR) were analyzed. Hepatic histology were observed in haematoxylin and eosin stained sections and quantified with NAFLD activity score (NAS). Lipid in hepatocytes was visualized by Oil red staining. Alanine aminotransferase (ALT) and hepatic triglyceride (TG) was measured. The hepatic transcriptom was detected with RNA-sequencing and validated with real-time polymerase chain reaction, western-blotting and hepatic quantitative metabolomics. ResultsXZD ameliorated hepatic histology of NAFLD mice, accompanied with decreasing fasting insulin, HOMA-IR, NAS, ALT and hepatic TG. The hepatic transcriptom of NAFLD was significantly reversed by XZD treatment, especially the genes enriched in the pathways of arachidonic acid metabolism, fatty acid degradation, cytokine-cytokine receptor interaction and extracellular matrix (ECM) -receptor interaction. The hepatic quantitative metabolomics analysis confirmed fatty acid degradation as the key targeting pathway of XZD. ConclusionsXZD ameliorated NAFLD induced by HFD, which probably correlated closely to the pathways of fatty acid degradation.

Decoding the molecular basis for temperature control by metabolomics to improve the taste quality of soy sauce fermented in winter

This study aimed to explore the material basis of the temperature-controlled fermentation method (30 °C) to improve the taste quality of soy sauce fermented in winter under 200 tons industrial scale by quantitative description analysis (QDA), physicochemical and metabolomic analysis. Results showed that the taste of soy sauce fermented at controlled temperature (SSCT) was superior to that of soy sauce fermented at room temperature (SSRT), especially the intensity of umami, kokumi, and sweet. The contents of total nitrogen and amino acid nitrogen in SSCT were significantly higher. 49 non-volatile compounds (13 organic acids, 10 sugars, 9 sugar alcohols, 15 amino acids and 2 others) were identified by GC-MS derivatization, classified according to the taste characteristics and taste active value (TAV) was calculated. The total TAV of sweet and umami substances increased while the total TAVs of sour substances decreased for SSCT. Moreover, out of the 191 peptides/amino acids derivates detected by UPLC-MS/MS, where 34 compounds had large differences. Some umami compounds (Fru-Glu, Fru-Val and Fru-pGlu) and kokumi compounds (γ-Glu-Leu, γ-Glu-Ile) were significantly higher in SSCT. These results revealed the intrinsic reasons for the improved quality of temperature-controlled soy sauce and provided a theoretical basis for the exploration and industrial application of temperature control on soy sauce fermentation.

Increased cardiac PFK-2 protects against high-fat diet-induced cardiomyopathy and mediates beneficial systemic metabolic effects

A healthy heart adapts to changes in nutrient availability and energy demands. In metabolic diseases like type 2 diabetes (T2D), increased reliance on fatty acids for energy production contributes to mitochondrial dysfunction and cardiomyopathy. A principal regulator of cardiac metabolism is 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFK-2), which is a central driver of glycolysis. We hypothesized that increasing PFK-2 activity could mitigate cardiac dysfunction induced by high-fat diet (HFD). Wild type (WT) and cardiac-specific transgenic mice expressing PFK-2 (GlycoHi) were fed a low fat or HFD for 16weeks to induce metabolic dysfunction. Metabolic phenotypes were determined by measuring mitochondrial bioenergetics and performing targeted quantitative proteomic and metabolomic analysis. Increasing cardiac PFK-2 had beneficial effects on cardiac and mitochondrial function. Unexpectedly, GlycoHi mice also exhibited sex-dependent systemic protection from HFD, including increased glucose homeostasis. These findings support improving glycolysis via PFK-2 activity can mitigate mitochondrial and functional changes that occur with metabolic syndrome.

15 Search for Non-Genomic Markers as Puberty Predictors inBos Indicus Cattle

Abstract Brahman cattle are used for crossbreeding due to their maternal ability, heat, and parasite tolerance. Brahman displays delayed attainment of puberty compared with taurine breeds. The objective was to identify molecular markers in the blood of prepubertal heifers and bulls that predict early puberty attainment. We hypothesize that Brahmans that attains puberty have a blood metabolite signature that differs from animals that remain prepubertal. Plasma was collected 90 (-90d) and 30 (-30d) days prior to the beginning of the breeding season from 156 yearling Brahman heifers and 28 bulls. Animals were classified as pubertal (pub) or prepubertal (prepub) based on reproductive variables such as the reproductive tract score and pregnancy to insemination for heifers and scrotal circumference and semen quality for bulls. Plasma from 48 pub and 48 prepub heifers and 9 pub and 7 prepub bulls were submitted for quantitative mass spectrometry metabolomics analysis. There was a clear clustering of animals according to puberty status (orthogonal projections of latent structures discriminant analysis). Concentrations of the top three metabolites explaining clustering were analyzed by t-tests. As heifers approached maturity, there was a 3.03-, 11.76- and 2.08-fold change (P &amp;lt; 0.0001) in the concentrations of PC ae C42:3, ProBetaine, and PC ae C42:2 measured at -30 vs. -90 days. Similarly, for bulls, concentrations of HipAcid, C4 and SM (OH) C24:1 were 1.52-, 1.53-, and 1.45-fold greater (P &amp;lt; 0.0001), respectively. Comparing pub vs. prebub heifers on -90 d, there was a 1.26- (P &amp;lt; 0.001), 0.62- (P &amp;lt; 0.01) and 1.11-fold change (P &amp;lt; 0.05) for hArg, Putrescine and AABA concentrations, respectively. Regarding bulls on -90 d, there was a 1.57- (P &amp;lt; 0.01), 1.32- (P &amp;lt; 0.03) and 1.15-fold change (P &amp;lt; 0.03) for FA(18:1), FA(18:2) and DG(16:1_18:2) concentrations, respectively. In conclusion, we discovered potential markers for the prediction of puberty attainment based on plasma metabolomic signatures in Brahman.