Metabolomic Characterization Research Articles

Physiological and metabolome characterization of Amaranthus hybridus L. grown under cypermethrin stress: an insight of Jasmonic acid treatment

The indiscriminate use of pesticides compromises physiology and metabolism in crops, posing health risks through residue accumulation in edible tissues. Amaranthus hybridus L., a fast growing, nutritionally and medicinally valuable crop was studied here to assess the impact of cypermethrin (CYP) at recommended (R1, 100 ppm) and double dose (R2, 200 ppm) alongside foliar application of jasmonic acid (JA) at 50 µM, 100 µM, and 200 µM concentrations. CYP at R1 dose induced hormesis, while R2 was toxic, elevating the production of ROS molecules (H2O2, SOR, MDA). JA application upregulated the antioxidant activity of SOD, POD, APX, GST, DHAR, GSH, and proline to alleviate oxidative stress and improve growth indicators, including shoot length, leaf area, chlorophyll content, Fv/Fm ratio, and biomass. JA at 100 µM yielded the highest increase in biomass, 11.52% and 13.7% for R1 and R2 treated plants, respectively and also led to reduced accumulation of CYP residues. The UHPLC-MS analysis of leaf tissue revealed increase in the contents of carotenoids, flavonoids, phenolics, phenylpropanoids, steroids content in the plant group combinedly treated with JA and CYP compared to those treated with CYP alone, indicating a protective and growth-promoting role of JA under pesticide stress conditions. Overall, 100 µM concentration of JA proved to be effective against the stress induced by the either dose of CYP in the study. These insights could offer strategies to reduce pesticide-induced damage in vegetable crops, advancing sustainable agriculture.

Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection

Characterization of serum metabolome and respiratory microbiota in children with influenza A virus infection

Patient-derived cornea organoid model to study metabolomic characterization of rare disease: aniridia-associated keratopathy

BackgroundAniridia is a rare panocular disease caused by gene mutation in the PAX6, which is essential for eye development. Aniridia is inherited in an autosomal dominant manner, but its phenotype can vary significantly among individuals with the same mutation. Animal models, such as drosophila, zebrafish, and rodents, have been used to study aniridia through Pax6 deletions. Recently, patient-derived limbal epithelial stem cells (LESCs) and human-induced pluripotent stem cells (hiPSCs) have been used to model the disease in vitro, providing new insights into therapeutic strategies.MethodsIn this study, corneal organoids were generated from hiPSCs derived from aniridia patients with three different PAX6 nonsense mutations, allowing for a detailed comparison between diseased and healthy control models. These organoids structurally mimicked the human cornea and were used to investigate histologic and metabolomic differences between healthy and aniridia-derived samples.ResultsUntargeted metabolomic analysis revealed significant metabolic differences between wild-type (WT) and aniridia-associated keratopathy (AAK) hiPSCs. Further metabolomic profiling at different time points demonstrated distinct metabolic shifts, with amino acid metabolism pathways being consistently enriched in AAK organoids.ConclusionsThis study emphasizes the profound impact of AAK mutations on metabolism, particularly in amino acid biosynthesis and energy metabolism pathways.

Multiomics Analyses Reveal that Fatty Acid Metabolism and TCA Cycle Contribute to the Achievement of Functional Cure in Chronic Hepatitis B.

Peg-IFNα is one of the current therapeutic strategies for Hepatitis B virus (HBV) seroclearance. Nevertheless, the underlying mechanisms are not yet adequately understood. The objective of this study was to explore the potential mechanisms using multiomics approach. For the first time, we revealed the transcriptomic, proteomic, and metabolomic characterizations of Peg-IFNα-induced HBsAg seroclearance. We found that Peg-IFNα caused significant changes during the treatment. Patients who achieved HBsAg seroclearance were characterized as having decreased transcriptional activity of genes involved in fatty acid metabolism and the glycolysis/gluconeogenesis pathway, with up-regulated expression of fatty acid degradation-related proteins. Consistently, mitochondrial TCA cycle metabolites, including citric, isocitric, and malic acids, were significantly elevated in patients who achieved HBsAg seroclearance. We also observed up-regulated transcriptional activity of NK cell-mediated cytotoxicity, positive regulation of B cell activation, immunoglobulin production, and T cell receptor complex in functional-cured patients. Conversely, the metabolites associated with unsaturated fatty acid biosynthesis were increased in HBsAg persistent patients, and the transcriptional activity of immunoglobulin production and T cell receptor complex was down-regulated after 48 weeks of Peg-IFNα treatment. Our findings provided valuable resources to better understand the process of HBsAg seroclearance and shed new light on the pathways to facilitate higher functional cure rates for CHB.

Metabolomics Characterization of Chemical Composition and Bioactivity of Highland Barley Monascus Tea Decoction Before and After Simulated Digestion In Vitro.

A broadly targeted metabolomics approach based on UPLC-MS/MS was employed to investigate the changes in chemical composition and in vitro activity of highland barley Monascus tea decoction before and after simulated digestion. The characteristic metabolites of the tea decoction before and after in vitro-simulated digestion were identified, and the in vitro antioxidant and enzyme inhibitory activities of the tea decoction were further analyzed. The study detected 1431 metabolites, including amino acids and their derivatives, alkaloids, organic acids, nucleotides and their derivatives, lipids, terpenoids, and phenolic acids. A total of 136 differential compounds were identified, primarily distributed in amino acids and their derivatives, alkaloids, organic acids, phenolics, and lipids. in vitro-simulated digestion significantly increased the content of amino acids, alkaloids, lipids, and phenolics in the tea. The differential metabolic compounds were primarily assigned to 20 metabolic pathways, mainly involving the metabolism of amino acids, nucleotides, carbohydrates, fatty acids, and other compounds. Additionally, after simulated digestion in vitro, the comprehensive antioxidant index (60.53%), α-glucosidase inhibitory activity (54.35%), and pancreatic lipase inhibitory activity (4.06%) was significantly improved. The highland barley Monascus tea decoction showed potential hypoglycemic and hypolipidemic efficacy. This study can provide a theoretical basis for the high-value utilization of highland barley and the development of healthy grain tea.

Detection and Identification of New Chlorphenesin Carbamate Metabolites in Human Urine and Metabolomic Characterization Using Liquid Chromatography-Q Exactive-HF-Orbitrap-Mass Spectrometry.

Chlorphenesin carbamate is a skeletal muscle relaxant, and one of its metabolites is 4-chlorophenoxyacetic acid (4-CPA), which is included on the Prohibited List of the World Anti-Doping Agency (WADA). The non-prohibited substance, chlorphenesin carbamate, as a potential source of 4-CPA, needs to be identified more strongly in doping control protocols. In this paper, the metabolism of chlorphenesin carbamate in human urine was studied. Ten volunteers were recruited to take chlorphenesin carbamate tablets orally, and urine samples were collected before and after being tested. The urine samples were detected by liquid chromatography-Q Exactive HF orbitrap mass spectrometry (LC-Q Exactive HF-MS) in full MS and full MS-ddMS2 scanning modes. Based on accurate molecular formulae determination and fragmentation pattern analysis by mass spectrometry, a total of 29 chlorphenesin carbamate metabolites were found, comprising 18 newly identified metabolites and 11 previously reported metabolites. There were five potential metabolic processes listed: hydroxylation, amide hydrolysis, C-oxidation, O-glucuronidation, sulfation, and their combinations. Chlorphenesin carbamate and the 29 metabolites were compared for their detection windows, and the findings indicated that the two recently reported metabolites, M9 and M10, had longer detection windows than the metabolites documented by the WADA. These metabolites are anticipated to be long-lasting biomarkers for the detection of chlorphenesin carbamate intake. By analyzing the results of metabolomic profiling, it was found that the metabolites with significant changes were mainly related to histidine metabolism and β-alanine metabolism pathways. This paper provides a comprehensive report on the metabolic profile of urinary chlorphenesin carbamate and reveals a point of view the changes in the metabolic in the human body, which is conducive to supporting the detection of chlorphenesin carbamate and meclofenoxate for doping control, as well as a better understanding of the mechanism of action of chlorphenesin carbamate as a drug.

Metabolomic characterization of a new strain of microalgae by GC-MS method with the introduction of a deuterium label.

Microalgae are active producers of various compounds, including toxic substances. However, their metabolism is very diverse and insufficiently known. We demonstrate an approach that includes growing a new strain of cyanobacterium Leptolyngbya sp. (IPPAS B-1204) on an isotopically labeled medium (D2O) and evaluating the metabolomic composition of these microorganisms after deuterium uptake. Despite the low resolution of the GC-MS method, the interpretation of the obtained spectra allowed us to find out not only the amount of the embedded isotope label but also to assume the position in the structure where the label is embedded. We present the results of reliably detecting more than 30 compounds with isotope labels belonging to various classes of biological compounds produced by this cyanobacterium, revealing the metabolic pathways of entry of this label. We also demonstrate that the synthesis of unsaturated fatty acids is suppressed under the growth on D2O medium. In addition, we found an isotopic effect in the chromatographic separation of isotopically labeled compounds in gas chromatography. These data can be used in the future both for the identification of compounds and the analysis of the biosynthesis pathways of secondary biologically active compounds and in the analysis of the production of isotopically labeled standards of compounds.

Metabolomic characterization of unintentional weight loss among community-dwelling older Black and White men and women.

This study aims to understand the metabolic mechanisms of unintentional weight loss in older adults. We investigated plasma metabolite associations of subsequent weight change over 2 years in 1536 previously weight stable participants (mean age 74.6 years, 50% women, 35% Black) from the Health, Aging and Body Composition (Health ABC) Study. Multinomial logistic regressions were used to examine associations of the 442 metabolites with weight loss with/without an intention and weight gain >3% annually relative to weight stability. The metabolite associations of unintentional weight loss differed from those of intentional weight loss and weight gain. Lower levels of aromatic amino acids, phospholipids, long-chain poly-unsaturated triglycerides, and higher levels of amino acid derivatives, poly-unsaturated fatty acids, and carbohydrates were associated with higher odds of unintentional weight loss after adjusting for age, sex, race, and BMI categories. Prevalent diseases attenuated four and lower mid-thigh muscle mass and poorer appetite each attenuated 2 of 77 identified metabolite associations by >20%, respectively. Other factors (e.g., energy expenditure, diet, and medication) attenuated all associations by <20%. While 16 metabolite associations were attenuated by 20%-48% when adjusting for all these risk factors, 47 metabolite associations remained significant. Altered amino acid metabolism, impaired mitochondrial fatty acid oxidation, and inflammaging implicated by identified metabolites appear to precede unintentional weight loss in Health ABC older adults. Furthermore, these pathways seem to be associated with prevalent diseases especially diabetes, lower muscle mass, and poorer appetite.

Over-expression of SiADCL1 in Arabidopsis modulates folate and amino acid metabolism to impact on flowering time

Foxtail millet is a C4 crop rich in folate (FA). This study explores the roles of the 4-amino-4-deoxychorismate lyase (ADCL) – a member of the transaminase IV group of enzymes – in FA metabolism and conferred phenotypes. Phylogenetic comparisons identified diversity in the transaminase IV/ADCL gene family in the foxtail millet genome which was associated with genomic duplications. Molecular docking studies suggested that SiADCL1 bound most strongly to aminodeoxychorismate (ADC) and most likely had the highest catalytic activities. SiADCL1 which was highly expressed in roots, peduncles and flag leaves. Over-expression of SiADCL1 in Arabidopsis significantly increased total FA content (1.14–1.84 fold) and this was linked to a delayed flowering time. Metabolomic and transcriptomic characterization of the derived over-expression lines, found that FA promotes the change of methylation-related genes, ethylene synthesis, amino acid metabolism and flowering-related genes. This study revealed a potential gene coexpression network linked with FA and targeted key genes that could be exploited in foxtail millet breeding programs.

Oat Okara Fermentation: New Insights into the Microbiological and Metabolomic Characterization

The importance of the valorization of industrial by-products has led to increasing research into their reuse. In this research, the innovative by-product okara oat flour, derived from the vegetable beverage industry, was studied. Oat okara sourdough was also produced and evaluated. The microbiological identification and typing involved bacterial and yeast isolates from both flour and sourdough. Untargeted metabolomics allowed the identification of biomarkers of fermented flour, such as phenolic classes, post-fermentation metabolites, fatty acids, and amino acids. The microorganisms most found were Weissella confusa, Enterococcus faecium, Pediococcus pentosaceus, and Pichia kudriavzevii, while Saccharomyces cerevisiae appeared only at the end of the sourdough’s back-slopping. Untargeted metabolomics identified a total of 539 metabolites, including phenolic compounds, lipids, amino acids, and organic acids. An increase in polyphenols released from the food matrix was detected, likely because of the higher bio-accessibility of phenolic metabolites promoted by microbial fermentation. Fermentation led to an increase in isoferulic acid, p-coumaric acid, sinapic acid, and a decrease in amino acids, which can be attributed to the metabolism of lactic acid bacteria. Some key markers of the fermentation process of both lactic acid bacteria and yeast were also measured, including organic acids (lactate, succinate, and propionate derivatives) and flavor compounds (e.g., diacetyl). Two bioactive compounds, such as gamma-aminobutyric acid and 3-phenyl-lactic acid had accumulated at the end of fermentation. Taken together, our findings showed that oat okara flour can be considered an excellent raw material for formulating more sustainable and functional foods due to fermentation promoted by autochthonous microbiota.

Untargeted metabolomics of 3xTg-AD neurotoxic astrocytes

Alzheimer's disease (AD) is the most common form of dementia, affecting approximately 47 M people worldwide. Histological features and genetic risk factors, among other evidence, supported the amyloid hypothesis of the disease. This neuronocentric paradigm is currently undergoing a shift, considering evidence of the role of other cell types, such as microglia and astrocytes, in disease progression. Previously, we described a particular astrocyte subtype obtained from the 3xTg-AD murine model that displays neurotoxic properties in vitro. We continue here our exploratory analysis through the lens of metabolomics to identify potentially altered metabolites and biological pathways.Cell extracts from neurotoxic and control astrocytes were compared using high-resolution mass spectrometry-based metabolomics. Around 12 % of metabolic features demonstrated significant differences between neurotoxic and control astrocytes, including alterations in the key metabolite glutamate. Consistent with our previous transcriptomic study, the present results illustrate many homeostatic and regulatory functions of metabolites, suggesting that neurotoxic 3xTg-AD astrocytes exhibit alterations in the Krebs cycle as well as the prostaglandin pathway.This is the first metabolomic study performed in 3xTg-AD neurotoxic astrocytes. These results provide insight into metabolic alterations potentially associated with neurotoxicity and pathology progression in the 3xTg-AD mouse model and strengthen the therapeutic potential of astrocytes in AD. Biological significanceOur study is the first high-resolution metabolomic characterization of the novel neurotoxic 3xTg-AD astrocytes. We propose key metabolites and pathway alterations, as well as possible associations with gene expression alterations in the model. Our results are in line with recent hypotheses beyond the amyloid cascade, considering the involvement of several stress response cascades during the development of Alzheimer's disease. This work could inspire other researchers to initiate similar studies in related models. Furthermore, this work illustrates a powerful workflow for metabolite annotation and selection that can be implemented in other studies.

Metabolomic characterization of MC3T3-E1pre-osteoblast differentiation induced by ipriflavone-loaded mesoporous nanospheres

This study reports on the metabolic changes accompanying the differentiation of MC3T3-E1 osteoprogenitor cells induced by mesoporous bioactive glass nanospheres (nMBG) loaded with ipriflavone (nMBG-IP). Ipriflavone (IP) is a synthetic isoflavone known for inhibiting bone resorption, maintaining bone density, and preventing osteoporosis. Delivering IP intracellularly is a promising strategy to modulate bone remodeling at significantly lower doses compared to free drug administration. Our results demonstrate that nMBG are efficiently internalized by pre-osteoblasts and, when loaded with IP, induce their differentiation. This differentiation process is accompanied by pronounced metabolic alterations, as monitored by NMR analysis of medium supernatants and cell extracts (exo- and endo-metabolomics, respectively). The main effects include an early-stage intensification of glycolysis and changes in several metabolic pathways, such as nucleobase metabolism, osmoregulatory and antioxidant pathways, and lipid metabolism. Notably, the metabolic impacts of nMBG-IP and free IP were very similar, whereas nMBG alone induced only mild changes in the intracellular metabolic profile without affecting the cells' consumption/secretion patterns or lipid composition. This finding indicates that the observed effects are primarily related to IP-induced differentiation and that nMBG nanospheres serve as convenient carriers with both efficient internalization and minimal metabolic impact. Furthermore, the observed link between pre-osteoblast differentiation and metabolism underscores the potential of utilizing metabolites and metabolic reprogramming as strategies to modulate the osteogenic process, for instance, in the context of osteoporosis and other bone diseases.

Plasma-based proteomic and metabolomic characterization of lung and lymph node metastases in cervical cancer patients

Metastasis is the leading cause of mortality in cervical cancer (CC), with a particular prevalence of lymph node and lung metastases. Patients with CC who have developed distant metastases typically face a poor prognosis, and there is a scarcity of non-invasive strategies for predicting CC metastasis. In this study, we utilized label-free proteomics and untargeted metabolomics to analyze plasma samples from 25 non-metastatic, 14 with lung metastasis, and 15 with lymph node metastasis CC patients. Pathway enrichment analysis revealed a shared inflammatory process between the two metastatic groups, while the central carbon metabolism in cancer showed distinct features in the lung metastasis cohort. Additionally, cholesterol metabolism, hypoxia-inducible factor 1, and ferroptosis signaling pathways were specifically altered in the lymph node metastasis group. Utilizing the receiver operating characteristic curve analysis and Random Forest algorithm, we identified two distinct biomarker panels for the prediction of lung metastasis and lymph node metastasis, respectively. The lung metastasis panel includes properdin, neural cell adhesion molecule 1, and keratin 6 A, whereas the lymph node metastasis panel consists of quiescin sulfhydryl oxidase 1, paraoxonase 1, and keratin 6 A. Each panel exhibited significant diagnostic potential, with high area under the curve (AUC) values for lung metastasis (training set: 0.989, testing set: 0.789) and lymph node metastasis (training set: 0.973, testing set: 0.900). This study conducted an integrated proteomic and metabolomic analysis to clarify the factors contributing to lung and lymph node metastases in CC and has successfully established two biomarker panels for their prediction.

Effects of 4.9 GHz Radiofrequency Field Exposure on Brain Metabolomic and Proteomic Characterization in Mice.

Electromagnetic exposure has become increasingly widespread, and its biological effects have received extensive attention. The purpose of this study was to explore changes in the metabolism profile of the brain and serum and to identify differentially expressed proteins in the brain after exposure to the 4.9 GHz radiofrequency (RF) field. C57BL/6 mice were randomly divided into a Sham group and an RF group, which were sham-exposed and continuously exposed to a 4.9 RF field for 35 d, 1 h/d, at an average power density (PD) of 50 W/m2. After exposure, untargeted metabolomics and Tandem Mass Tags (TMT) quantitative proteomics were performed. We found 104 and 153 up- and down-regulated differentially expressed metabolites (DEMs) in the RF_Brain group and RF_Serum group, and the DEMs were significantly enriched in glycerophospholipid metabolism. Moreover, 10 up-regulated and 51 down-regulated differentially expressed proteins (DEPs) were discovered in the RF group. Functional correlation analysis showed that most DEMs and DEPs showed a significant correlation. These results suggested that 4.9 GHz exposure induced disturbance of metabolism in the brain and serum, and caused deregulation of proteins in the brain.

8815 ANPEP regulates one-carbon metabolism in prostate cancer

Abstract Disclosure: A. El-Kenawi: None. R. Putney: None. A. Berglund: None. K. Yamoah: None. African American men (AAM) experience disproportionately higher rates of both prostate cancer (PCa) incidence and mortality compared to their European American counterparts (EAM). To investigate some of the biological factors which contribute to these disparities, we carried out an unbiased genomic expression analysis of PCa by ancestry using the matched GRID and VANDAAM cohorts. In this analysis, we discovered aminopeptidase N (ANPEP, APN, CD13), to be the most differentially expressed functional gene in both self-identified and ancestry derived AAM compared with EAM. Further computational analyses revealed that ANPEP correlates with signatures of cholesterol transport, estrogen and androgen receptor (AR) signaling. The functional role of ANPEP in regulating cholesterol metabolism and AR signaling remains unclear. Further computational analyses demonstrate that expression of ANPEP predominantly correlates with various amino acid transporters. In addition, comprehensive metabolomic characterization revealed that ANPEP-overexpressing cells exhibit altered level of one-carbon metabolism metabolites. The one-carbon metabolic pathway regulates amino acids homeostasis and epigenetic mechanisms. Metabolomics-based approach to assess the consumption of over 15 amino acids in patient-derived explants validate enrichment of one-carbon metabolism circuits in AAM. Thus, we further investigated whether ANPEP impact high methylation capacity by performing genome-wide methylation profiling in cells. We unraveled that ANPEP overexpression is associated with elevated methylation of DNA. Our future studies will assess whether ANPEP regulation of methylation capacity have an impact on AR binding to DNA. Presentation: 6/3/2024

Pathogenicity and Metabolomic Characterization of Fusarium graminearum and Fusarium poae Challenge in Barley under Controlled Conditions.

Barley is the third most important cereal crop in terms of production in Canada, and Fusarium head blight (FHB) is one of the main fungal diseases of barley. FHB is caused by a species complex of Fusaria, of which Fusarium graminearum Schwabe is the main causal species of FHB epidemics in Canada. Field surveys show that two or more Fusarium species often co-exist within the same field or grain sample, and F. poae is reported as another important species in barley. This study aimed to determine the pathogenicity of F. graminearum, F. poae, and a co-inoculation of both species causing FHB in barley. Two susceptible barley cultivars were spray-inoculated at 10 to 14 days after heading. Phenotypic disease severity was rated on a scale of 0-9 at 4, 7, 14, 21, and 28 days after inoculation. There was a significant difference in FHB severity between F. graminearum and F. poae, where infection with F. graminearum produced more severe disease ratings. F. poae generated lower disease ratings and was not statistically different from the control. When heads were co-inoculated with both Fusarium species, the resulting FHB severity was unchanged relative to heads inoculated with F. graminearum only. The ratio of F. graminearum to F. poae genomic DNA was also no different than when heads were inoculated with F. graminearum alone, as quantified with ddPCR using markers specific to each species. The metabolomic analysis of sample extracts showed that F. graminearum-associated metabolites dominated the mycotoxin profile of co-inoculated samples, which corroborated our other findings where F. graminearum appeared to outcompete F. poae in barley. No significant effect on visual FHB disease ratings or fungal DNA detection was observed between the cultivars tested. However, there were some metabolome differences between cultivars in response to the challenge by both F. graminearum and F. poae.

What's GABA got to do with it? A potential link between the microbiome, schizophrenia, and the endo-cannabinoid system

The microbiome has been linked to numerous neurological and psychiatric diseases, including schizophrenia. Nevertheless, correlating microbial perturbations to pathophysiological aspects of schizophrenia remains elusive, as study participants are typically medicated when sampled, complicating mechanistic investigation. Here we explored specific microbial and metabolic alterations in schizophrenia patients, while explicitly considering their medications. We recruited 30 patients and 14 healthy controls. Fecal and serum samples were collected for microbiota and (untargeted) metabolome characterization, respectively. While significant differences were detected between microbiome of controls and schizophrenia patients overall, patients not taking GABA-enhancing drugs had profiles similar to the control group. This pattern was preserved, but to a lesser extent, when comparing metabolomes. Several key metabolic pathways differed between patients and controls, even after filtering out those directly related to pharmaceuticals and their metabolism, and the citric acid cycle and amino acid biosynthesis pathways were enriched in the group prescribed antipsychotics without GABA-enhancers. Administration of exogenous GABA affected overall patient homeostasis, not just disease course, supporting our hypothesis that microbiota play a part in cognitive, emotional, and mental function, and that this role must be considered in the full context of an individual's state, including medication.

Productive and metabolomic consequences of arginine supplementation in sows during different gestation periods in two different seasons

BackgroundThe prolificacy of sows (litter size at birth) has markedly increased, leading to higher post-natal mortality. Heat stress can exacerbate this issue. Arginine plays an important role in several physiological pathways; its effect on gestating sows can depend on the period of supplementation. This study evaluated the effects of arginine supplementation on the productive performance and physiological status of sows during different gestation periods and seasons, using a multi-omics approach.MethodsA total of 320 sows were divided into 4 groups over 2 seasons (warm/cold); a control group (CO) received a standard diet (including 16.5 g/d of arginine) and 3 other groups received the standard diet supplemented with 21.8 g/d of arginine (38.3 g/d of arginine) either during the first 35 d (Early35), the last 45 d (Late45) or throughout the entire gestation period (COM). The colostrum was analyzed for nutritional composition, immunoglobulins and metabolomic profile. Urine and feces were analyzed on d 35 and 106 for the metabolomic and microbial profiles. Piglet body weight and mortality were recorded at birth, d 6, d 26, and on d 14 post-weaning.ResultsInteractions between arginine and season were never significant. The Early35 group had a lower percentage of stillborn (P < 0.001), mummified (P = 0.002) and low birthweight (LBW) piglets (P = 0.02) than the CO group. The Late45 group had a lower percentage of stillborn piglets (P = 0.029) and a higher percentage of high birthweight piglets (HBW; P < 0.001) than the CO group. The COM group had a higher percentage of LBW (P = 0.004) and crushed piglets (P < 0.001) than the CO group. Arginine supplementation modifies the metabolome characterization of colostrum, urine, and feces. Creatine and nitric oxide pathways, as well as metabolites related to microbial activity, were influenced in all matrices. A slight trend in the beta diversity index was observed in the microbiome profile on d 35 (P = 0.064).ConclusionsArginine supplementation during early gestation reduced the percentage of stillborn and LBW piglets, while in the last third of pregnancy, it favored the percentage of HBW pigs and reduced the percentage of stillbirths, showing that arginine plays a significant role in the physiology of pregnant sows.

Metabolomic characterization of COVID-19 survivors in Jilin province

BackgroundThe COVID-19 pandemic has escalated into a severe global public health crisis, with persistent sequelae observed in some patients post-discharge. However, metabolomic characterization of the reconvalescent remains unclear.MethodsIn this study, serum and urine samples from COVID-19 survivors (n = 16) and healthy subjects (n = 16) underwent testing via the non-targeted metabolomics approach using UPLC-MS/MS. Univariate and multivariate statistical analyses were conducted to delineate the separation between the two sample groups and identify differentially expressed metabolites. By integrating random forest and cluster analysis, potential biomarkers were screened, and the differential metabolites were subsequently subjected to KEGG pathway enrichment analysis.ResultsSignificant differences were observed in the serum and urine metabolic profiles between the two groups. In serum samples, 1187 metabolites were detected, with 874 identified as significant (457 up-regulated, 417 down-regulated); in urine samples, 960 metabolites were detected, with 39 deemed significant (12 up-regulated, 27 down-regulated). Eight potential biomarkers were identified, with KEGG analysis revealing significant enrichment in several metabolic pathways, including arginine biosynthesis.ConclusionsThis study offers an overview of the metabolic profiles in serum and urine of COVID-19 survivors, providing a reference for post-discharge monitoring and the prognosis of COVID-19 patients.

Metabolomic characterization of human glioblastomas and patient plasma: a pilot study

Background Glioblastoma (GBM) is a clinically challenging primary brain tumor with poor survival outcome despite surgical resection and intensive chemoradiation. The metabolic heterogeneity of GBM can become biomarkers for treatment response, resistance, and outcome prediction. The aim of the study is to investigate metabolic distinctions between primary and recurrent GBM tissue and patient plasma to establish feasibility for metabolic profiling. Methods A single-center cohort study analyzed tissue and blood samples from 15 patients with GBM using untargeted metabolomic/lipidomic assays. Metabolomic, lipidomic, and biogenic amine analyses were conducted on GBM tissue and patient plasma at diagnosis and recurrence using untargeted mass spectrometry. The study utilized a small but longitudinally collected cohort to evaluate alteration in metabolites, lipids, and biogenic amines between specimens at diagnosis and recurrence. Results Exploratory analysis revealed significant alteration in metabolites, lipids, and biogenic amines between diagnostic and recurrent states in both tumor and plasma specimens. Notable metabolites differed at recurrence, including N-alpha-methylhistamine, glycerol-3-phosphate, phosphocholine, and succinic acid in tissue, and indole-3-acetate, and urea in plasma. Principal component analysis revealed distinct metabolomic profiles between tumor tissue and patient plasma. Distinct metabolic profiles were observed in GBM tissue and patient plasma at recurrence, demonstrating the feasibility of using metabolomic methodologies for longitudinal studies. One patient exhibited a unique tumor resistance signature at diagnosis, possibly indicating a high-risk metabolomic phenotype. Conclusions In this small cohort, the findings suggest the potential of metabolomic signatures of GBM tissue and patient plasma for risk stratification, outcome prediction, and the development of novel adjuvant metabolic-targeting therapies. The findings suggest metabolic discrepancies at diagnosis and recurrence in tissue and plasma, highlighting potential implications for evaluation of clinical response. The identification of significant changes in metabolite abundance emphasizes the need for larger studies using targeted metabolomics to validate and further explore these profiles.