Mass Spectrometry-based Metabolomics Research Articles

Increased exercise tolerance in humanized G6PD deficient mice

Glucose-6-phosphate dehydrogenase (G6PD) deficiency affects 500 million people globally, impacting red blood cell (RBC) antioxidant pathways and increasing susceptibility to hemolysis under oxidative stress. Despite the systemic generation of reactive oxygen species during exercise, the effects of exercise on individuals with G6PD deficiency remain poorly understood This study utilized humanized mouse models expressing the G6PD Mediterranean variant (S188F, with 10% enzymatic activity) to investigate exercise performance and molecular outcomes. Surprisingly, despite decreased enzyme activity, G6PD-deficient mice have faster critical speed (CS) compared to mice expressing human canonical G6PD. Post-exercise, deficient mice did not exhibit differences in RBC morphology or hemolysis, but had improved cardiac function, including cardiac output, stroke volume, sarcomere length and mitochondrial content. Proteomics analyses of cardiac and skeletal muscles (gastrocnemius, soleus) from G6PD deficient compared to sufficient mice revealed improvements in mitochondrial function and increased protein turnover via ubiquitination, especially for mitochondrial and structural myofibrillar proteins. Mass spectrometry-based metabolomics revealed alterations in energy metabolism and fatty acid oxidation. These findings challenge the traditional assumptions regarding hemolytic risk during exercise in G6PD deficiency, suggesting a potential metabolic advantage in exercise performance for individuals carrying non-canonical G6PD variants.

Profiling Plasma Extracellular Vesicle Metabotypes and miRNAs: An Unobserved Clue for Predicting Relapse in Patients with Early-Stage NSCLC

Background and Objective: Lung cancer, the second most prevalent cancer globally, poses significant challenges in early detection and prognostic assessment. Despite advancements in targeted therapies and immunotherapy, the timely identification of relapse remains elusive. Blood-based liquid biopsy biomarkers, including circulating tumor cells (CTCs), cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), circulating-free RNAs (cfRNAs), and extracellular vesicles (EVs)/exosomes, offer promise for non-invasive monitoring. Methods: We employ a comprehensive approach integrating miRNA/lncRNA/metabolomic datasets, following a mixed-methods content analysis, to identify candidate biomarkers in NSCLC. NSCLC-associated miRNA/gene/lncRNA associations were linked to in silico-derived molecular pathways. Results: For data validation, mass spectrometry-based untargeted metabolomics of plasma EVs highlighted miRNA/lncRNA/metabotypes, linking “glycerophospholipid metabolism” to lncRNA H19 and “alanine, aspartate and glutamate metabolism” to miR-29a-3p. Prognostic significance was established for miR-29a-3p, showing lower expression in NSCLC patients with disease progression compared to stable disease (p = 0.004). Kaplan–Meier survival analysis indicated that patients with miR-29a-3p under-expression had significantly shorter overall survival (OS) (p = 0.038). Despite the expression of lncRNA H19 in plasma EVs being undetected, its expression in plasma cfRNAs correlated significantly with disease progression (p = 0.035). Conclusions: Herein, we showcase the potential of plasma EV-derived miR-29a-3p as a prognostic biomarker and underscore the intricate interplay of miRNAs, lncRNAs, and metabolites in NSCLC biology. Our findings offer new insights and avenues for further exploration, contributing to the ongoing quest for effective biomarkers in early-stage NSCLC.

Mass spectrometry-based metabolomics reveals metabolism of molnupiravir may lead to metabolic disorders and hepatotoxicity.

Molnupiravir (MO) is a pyrimidine nucleoside anti-SARS-CoV-2 drug. MO treatment could cause mild liver injury. However, the underlying mechanism of MO-induced liver injury and the metabolic pathway of MO in vivo are unclear. In this study, metabolomics analysis and molecular biology methods were used to explore these issues. Through metabolomics analysis, it was found that the homeostasis of pyrimidine, purine, lysophosphatidylcholine (LPC), and amino acids in mice was destroyed after MO treatment. A total of 80 changed metabolites were detected. Among these changed metabolites, 4-ethylphenyl sulfate, dihydrouracil, and LPC 20:0 was related to the elevation of alkaline phosphatase (ALP), interleukin-6 (IL6), and nuclear factor kappa-B (NF-κB). The levels of 4-ethylphenyl sulfate, dihydrouracil, and LPC 20:0 in plasma were positively correlated with their levels in the liver, suggesting that these metabolites were associated with MO-induced liver injury. MO treatment could increase NHC and cytidine levels, activate cytidine deaminase (CDA), and increase LPC levels. CDA and LPC could increase the mRNA expression level of toll-like receptor (TLR). The current study indicated that the elevation of hepatic TLR may be an important reason for MO leading to the liver injury.

A Comprehensive Multi-Omics Study of Serum Alterations in Red Deer Infected by the Liver Fluke Fascioloides magna

Liver fluke infections are acknowledged as diseases with global prevalence and significant implications for both veterinary and public health. The large American liver fluke, Fascioloides magna, is a significant non-native parasite introduced to Europe, threatening the survival of local wildlife populations. The aim of this study was to analyze differences in the serum proteome and metabolome between F. magna-infected and control red deer. Serum samples from red deer were collected immediately following regular hunting operations, including 10 samples with confirmed F. magna infection and 10 samples from healthy red deer. A proteomics analysis of the serum samples was performed using a tandem mass tag (TMT)-based quantitative approach, and a metabolomics analysis of the serum was performed using an untargeted mass spectrometry-based metabolomics approach. A knowledge-driven approach was applied to integrate omics data. Our findings demonstrated that infection with liver fluke was associated with changes in amino acid metabolism, energy metabolism, lipid metabolism, inflammatory host response, and related biochemical pathways. This study offers a comprehensive overview of the serum proteome and metabolome in response to F. magna infection in red deer, unveiling new potential targets for future research. The identification of proteins, metabolites, and related biological pathways enhances our understanding of host–parasite interactions and may improve current tools for more effective liver fluke control.

Integrated analysis of metabolome and microbiome in a rat model of perimenopausal syndrome.

In this work, we employed 16S ribosomal RNA gene sequencing to analyze the gut microbes in stool samples. In addition, we conducted an ultra-high-performance liquid chromatography-tandem mass spectrometry-based metabolomics approach on gut tissue and serum obtained from rats with perimenopausal syndrome (PMS) and healthy controls. By characterizing the composition and metabolomic properties of gut microbes in PMS rats, we aim to enhance our understanding of their role in women's health, emphasizing the significance of regulating gut microbes in the context of menopausal women's well-being. We aim to provide a theoretical basis for the prevention and treatment of PMS in terms of gut microflora as well as metabolism.

Intestinal endogenous metabolites affect neuroinflammation in 5×FAD mice by mediating “gut-brain” axis and the intervention with Chinese Medicine

BackgroundEmerging evidence suggested the association between gut dysbiosis and Alzheimer’s disease (AD) progression. However, it remained unclear how the gut microbiome and neuroinflammation in the brain mutually interact or how these interactions affect brain functioning and cognition. Here we hypothesized that “gut-brain” axis mediated by microbial derived metabolites was expected to novel breakthroughs in the fields of AD research and development.MethodsMultiple technologies, such as immunofluorescence, 16s rDNA sequencing, mass spectrometry-based metabolomics (LC-QQQ-MS and GC-MS), were used to reveal potential link between gut microbiota and the metabolism and cognition of the host.ResultsMicrobial depletion induced by the antibiotics mix (ABX) verified that “gut-brain” can transmit information bidirectionally. Short-chain fatty acid-producing (SCFAs-producing) bacteria and amino acid-producing bacteria fluctuated greatly in 5×FAD mice, especially the reduction sharply of the Bifidobacteriaceae and the increase of the Lachnospiraceae family. Concentrations of several Tryptophan-kynurenine intermediates, lactic acid, CD4+ cell, and CD8+ cells were higher in serum of 5×FAD mice, whilst TCA cycle intermediates and Th1/Th2 were lower. In addition, the levels of iso-butyric acid (IBA) in feces, serum, and brain of 5×FAD mice were increased compared with WT-M mice, especially in serum. And IBA in the brain was positively correlated with Aβ and proinflammatory factors.ConclusionTogether, our finding highlighted that the alternation in gut microbiota affected the effective communication between the “gut-brain” axis in 5×FAD mice by regulating the immune system, carbohydrate, and energy metabolism.

8743 Regulation Of Tryptophan 2,3-Dioxygenase 2 And Androgen Receptor In Triple-Negative Breast Cancer

Abstract Disclosure: L. Kuo: None. K. Lacey: None. N. Spoelstra: None. J.K. Richer: None. Background: Triple Negative Breast Cancer (TNBC) is an aggressive subtype with a peak recurrence rate within 3-5 years after initial diagnosis. Androgen receptor (AR) and Tryptophan 2,3-dioxygenase 2 (TDO2) are elevated in TNBC cells grown under anchorage-independent conditions and facilitate anoikis resistance. Several studies reported that the luminal AR subset of TNBC showed a positive enrichment of the tryptophan (TRP) catabolism pathway gene signature. Recent studies have demonstrated that aryl hydrocarbon receptor (AhR) inhibition decreases AR promoter transcriptional activity in prostate cancer. We have observed that TNBC with high AR have high levels of genes/proteins in the tryptophan catabolism pathway including the rate limiting enzyme TDO2. Hypothesis: TDO2 activity regulates AR expression through the downstream tryptophan catabolite kynurenine (KYN), which binds and activates AhR and AhR and AR may work together to promote TNBC progression. Methods: Human TNBC cell lines: MDA-MB-453, BT549, SUM159PT ​ were used in this study and the expression of TDO2 and AR were examined by immunohistochemistry (IHC) and western blot. TDO2 was stably knocked down (KD) via shRNA or overexpressed (OE) using lentivirus transduction. Mass spectrometry-based metabolomics were used to measure changes in TRP catabolite levels, and a cytokine array (R&D) was utilized to analyze conditioned media. Results: TDO2 and AR protein are positively correlated in human TNBC cell lines. Although overexpression of TDO2 did not alter AR protein expression in SUM159PT, in the human MDA-MB-453, which have high levels of AR, knockdown of TDO2 (shTDO2) reduced AR protein by 40% and production of kynurenine (KYN) was reduced by 50% (p<0.0001). This suggests that TDO2 activity, specifically KYN binding to AhR, may influence AR protein levels. Conditioned media (CM) from TDO2 OE and KD respectively increased and decreased CXCL5 and IGFBP2. Lastly, TCGA database analysis of TNBC tumors with high levels of both AhR and AR showed significantly shorter patient survival (HR=1.47, log rank p=0.046) compared to those with tumors with lower amounts of both genes. Conclusion: TDO2 and AR are positively correlated in human TNBC cell lines. Tumors with high levels of both AR and AhR result in significantly shorter survival time for TNBC patients. Knockdown of TDO2 significantly reduced KYN production and AR expression in luminal AR TNBC cell lines and future experiments will focus on the underlying mechanism behind this and whether it is dependent on KYN-mediated activation of AhR and if AhR stabilizes AR in TNBC. Presentation: 6/3/2024

8743 Regulation of Tryptophan 2,3-Dioxygenase 2 and Androgen Receptor in Triple-Negative Breast Cancer

Abstract Disclosure: L. Kuo: None. K. Lacey: None. N. Spoelstra: None. J.K. Richer: None. Background: Triple Negative Breast Cancer (TNBC) is an aggressive subtype with a peak recurrence rate within 3-5 years after initial diagnosis. Androgen receptor (AR) and Tryptophan 2,3-dioxygenase 2 (TDO2) are elevated in TNBC cells grown under anchorage-independent conditions and facilitate anoikis resistance. Several studies reported that the luminal AR subset of TNBC showed a positive enrichment of the tryptophan (TRP) catabolism pathway gene signature. Recent studies have demonstrated that aryl hydrocarbon receptor (AhR) inhibition decreases AR promoter transcriptional activity in prostate cancer. We have observed that TNBC with high AR have high levels of genes/proteins in the tryptophan catabolism pathway including the rate limiting enzyme TDO2. Hypothesis: TDO2 activity regulates AR expression through the downstream tryptophan catabolite kynurenine (KYN), which binds and activates AhR and AhR and AR may work together to promote TNBC progression. Methods: Human TNBC cell lines: MDA-MB-453, BT549, SUM159PT ​ were used in this study and the expression of TDO2 and AR were examined by immunohistochemistry (IHC) and western blot. TDO2 was stably knocked down (KD) via shRNA or overexpressed (OE) using lentivirus transduction. Mass spectrometry-based metabolomics were used to measure changes in TRP catabolite levels, and a cytokine array (R&D) was utilized to analyze conditioned media. Results: TDO2 and AR protein are positively correlated in human TNBC cell lines. Although overexpression of TDO2 did not alter AR protein expression in SUM159PT, in the human MDA-MB-453, which have high levels of AR, knockdown of TDO2 (shTDO2) reduced AR protein by 40% and production of kynurenine (KYN) was reduced by 50% (p<0.0001). This suggests that TDO2 activity, specifically KYN binding to AhR, may influence AR protein levels. Conditioned media (CM) from TDO2 OE and KD respectively increased and decreased CXCL5 and IGFBP2. Lastly, TCGA database analysis of TNBC tumors with high levels of both AhR and AR showed significantly shorter patient survival (HR=1.47, log rank p=0.046) compared to those with tumors with lower amounts of both genes. Conclusion: TDO2 and AR are positively correlated in human TNBC cell lines. Tumors with high levels of both AR and AhR result in significantly shorter survival time for TNBC patients. Knockdown of TDO2 significantly reduced KYN production and AR expression in luminal AR TNBC cell lines and future experiments will focus on the underlying mechanism behind this and whether it is dependent on KYN-mediated activation of AhR and if AhR stabilizes AR in TNBC. Presentation: 6/3/2024

Untargeted Metabolomics for Inborn Errors of Metabolism: Development and Evaluation of a Sustainable Reference Material for Correcting Inter-Batch Variability.

Untargeted metabolomics has shown promise in expanding screening and diagnostic capabilities for inborn errors of metabolism (IEMs). However, inter-batch variability remains a major barrier to its implementation in the clinical laboratory, despite attempts to address this through normalization techniques. We have developed a sustainable, matrix-matched reference material (RM) using the iterative batch averaging method (IBAT) to correct inter-batch variability in liquid chromatography-high-resolution mass spectrometry-based untargeted metabolomics for IEM screening. The RM was created using pooled batches of remnant plasma specimens. The batch size, number of batch iterations per RM, and stability compared to a conventional pool of specimens were determined. The effectiveness of the RM for correcting inter-batch variability in routine screening was evaluated using plasma collected from a cohort of phenylketonuria (PKU) patients. The RM exhibited lower metabolite variability between iterations over time compared to metabolites from individual batches or individual specimens used for its creation. In addition, the mean variation across amino acid (n = 19) concentrations over 12 weeks was lower for the RM (CVtotal = 8.8%; range 4.7%-25.3%) compared to the specimen pool (CVtotal = 24.6%; range 9.0%-108.3%). When utilized in IEM screening, RM normalization minimized unwanted inter-batch variation and enabled the correct classification of 30 PKU patients analyzed 1 month apart from 146 non-PKU controls. Our RM minimizes inter-batch variability in untargeted metabolomics and demonstrated its potential for routine IEM screening in a cohort of PKU patients. It provides a practical and sustainable solution for data normalization in untargeted metabolomics for clinical laboratories.

Chronic Exposure to Petroleum-Derived Hydrocarbons Alters Human Skin Microbiome and Metabolome Profiles: A Pilot Study.

Petroleum-derived substances, like industrial oils and grease, are ubiquitous in our daily lives. Comprised of petroleum hydrocarbons (PH), these substances can come into contact with our skin, potentially causing molecular disruptions and contributing to the development of chronic disease. In this pilot study, we employed mass spectrometry-based untargeted metabolomics and 16S rRNA gene sequencing analyses to explore these effects. Superficial skin samples were collected from subjects with and without chronic dermal exposure to PH at two anatomical sites: the fingers (referred to as the hand) and arms (serving as an intersubject variability control). Exposed hands exhibited higher bacterial diversity (Shannon and Simpson indices) and an enrichment of oil-degrading bacteria (ODB), including Dietzia, Paracoccus, and Kocuria. Functional prediction suggested enriched pathways associated with PH degradation in exposed hands vs non-exposed hands, while no differences were observed when comparing the arms. Furthermore, carboxylic acids, glycerophospholipids, organooxygen compounds, phenol ethers, among others, were found to be more abundant in exposed hands. We observed positive correlations among multiple ODB and xenobiotics, suggesting a chemical remodeling of the skin favorable for ODB thriving. Overall, our study offers insights into the complex dysregulation of bacterial communities and the chemical milieu induced by chronic dermal exposure to PH.

Comparative metabolomics in gauging the quality of Embelia ribes Burm. f. fruits in the market trade

Adulteration and substitution in the market trade is a huge problem. Embelia ribes (ER) fruits are used as condiments and in drug formulations that claim substantial market demands. We assessed the trade of ER fruits across Maharashtra, India, for authentication and quality assessment. MaturaseK amplification identified ER’s close relatives E. tsjeriam-cottam (ET) and E. vestita (EV), (Primulaceae), and distant genera Basella alba (BA) (Basellaceae) and Cinnamomum aromaticum (CA) (Lauraceae) fruits in the market trade. Liquid chromatography-tandem mass spectrometry-based comparative metabolomics revealed that ER fruits are metabolically diverse than others. Multivariate analysis showed that ET shares maximum compound similarity with ER and possesses all ER’s major compound classes. However, the percentage of benzoquinones, flavonoids, and furans is less in ET than in ER. Moreover, ER and ET metabolites are associated with different pathways. We conclude that although ET is deemed a good ER substitute, ER replacement by ET al.tered chemical synergy.

Optimization of serum samples derivatization process by I-Optimal Split-plot design of experiments for GC–MS metabolomics of inflammatory neuropathies

The derivatization process is critical in gas chromatography coupled to mass spectrometry-based untargeted metabolomics. This process aims to increase common non-volatile compounds’ vapor pressure and thermal stability by two sequential steps: methoximation and silylation. Up to now, there are no standardized conditions for performing these reactions. In this study, we simultaneously optimized these procedures using an I-Optimal Split-plot design in serum samples of healthy individuals. The resultant two-factor interaction model performed well with R2 > 0.90 and R2-adjusted > 0.70 in the statistical analysis. The results revealed interactions between methoximation and silylation conditions. The optimized conditions were applied for the GC–MS untargeted metabolomics analysis of serum samples of patients with inflammatory neuropathies and healthy controls. The orthogonal partial least square discriminant analysis with satisfactory cross-validation results (R2 = 0.744, Q2 = 0.557) determined 32 metabolites with VIP score > 1. Short- and long-chain organic acids, fatty acids, and carbohydrates were annotated as potential discriminative molecular markers.

Ultra-High-Performance Liquid Chromatography-High-Definition Mass Spectrometry-Based Metabolomics to Reveal the Potential Anti-Arthritic Effects of Illicium verum in Cultured Fibroblast-like Synoviocytes Derived from Rheumatoid Arthritis.

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease. The fruits of Illicium verum, which is a medicinal and edible resource, have been shown to have anti-inflammatory properties. In this study, we investigated the effects of I. verum extracts (IVEs) on human RA fibroblasts-like synoviocytes (RA-FLS) by using a sensitive and selective ultra-high-performance liquid chromatography with high-definition mass spectrometry (UPLC-HDMS) method. We subsequently analyzed the metabolites produced after the incubation of cultured RA-FLS with IVEs. IVEs inhibited the proliferation and suppressed the migration of RA-FLS, and reduced the levels of inflammatory factors including TNF-α and IL-6. Twenty differential metabolites responsible for the effects of IVEs were screened and annotated based on the UPLC-HDMS data by using a cell metabolomics approach. Our findings suggest that treating RA-FLS with IVEs can regulate lipid and amino acid metabolism, indicating that this extract has the potential to modify the metabolic pathways that cause inflammation in RA. This might lead to novel therapeutic strategies for managing patients with RA.

Ultrahigh-Performance Liquid Chromatography–Tandem Mass Spectrometry-Based Untargeted Metabolomics to Differentiate Guizhou Glutinous Sorghum and Hongyingzi Sorghum

Ultrahigh-Performance Liquid Chromatography–Tandem Mass Spectrometry-Based Untargeted Metabolomics to Differentiate Guizhou Glutinous Sorghum and Hongyingzi Sorghum

NEK6 dampens FOXO3 nuclear translocation to stabilize C-MYC and promotes subsequent de novo purine synthesis to support ovarian cancer chemoresistance

De novo purine synthesis metabolism plays a crucial role in tumor cell survival and malignant progression. However, the specific impact of this metabolic pathway on chemoresistance in ovarian cancer remains unclear. This study aims to elucidate the influence of de novo purine synthesis on chemoresistance in ovarian cancer and its underlying regulatory mechanisms. We analyzed metabolic differences between chemosensitive and chemoresistant ovarian cancer tissues using mass spectrometry-based metabolomics. Cell growth, metabolism, chemoresistance, and DNA damage repair characteristics were assessed in vitro using cell line models. Tumor growth and chemoresistance were assessed in vivo using ovarian cancer xenograft tumors. Intervention of purines and NEK6-mediated purine metabolism on chemoresistance was investigated at multiple levels. Chemoresistant ovarian cancers exhibited higher purine abundance and NEK6 expression. Inhibiting NEK6 led to decreased de novo purine synthesis, resulting in diminished chemoresistance in ovarian cancer cells. Mechanistically, NEK6 directly interacted with FOXO3, contributing to the phosphorylation of FOXO3 at S7 through its kinase activity, thereby inhibiting its nuclear translocation. Nuclear FOXO3 promoted FBXW7 transcription, leading to c-MYC ubiquitination and suppression of de novo purine synthesis. Paeonol, by inhibiting NEK6, suppressed de novo purine synthesis and enhanced chemosensitivity. The NEK6-mediated reprogramming of de novo purine synthesis emerges as a critical pathway influencing chemoresistance in ovarian cancer. Paeonol exhibits the potential to interfere with NEK6, thereby inhibiting chemoresistance.

Comparative metabolites profiling of different solvent extracts of Asparagus species cladodes using liquid chromatography-mass spectrometry-based metabolomics and molecular networking.

Asparagus species are naturally distributed worldwide and are known for their pharmacological properties that offer cures for various ailments. However, the metabolic choreography of these Asparagus species is not well characterized, and the compounds contributing to their bioactivities remain unknown. This study aimed to profile and compare the metabolomes of three Asparagus species cladodes using different solvent extractions. An ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry-based metabolomics and molecular networking approach was used to study the effects of different solvents (ethyl acetate, methanol, and chloroform) with varying polarity on metabolites extraction and identification of bioactive compounds from three Asparagus species cladodes (Asparagus falcatus, Asparagus plumosus, and Asparagus densiflorus 'Meyersii'). Multivariate statistical analyses (mainly principal component analysis) revealed a significant separation between the three solvents and the three species, indicating notable metabolic differences. A total of 118 metabolites were identified in the three species extracted with the different solvents, with methanolic and chloroform extracts containing more metabolites compared with ethyl acetate extracts. These metabolites were identified as belonging to the flavonoids, cinnamic acids, organooxygen compounds, steroids, fatty acids, benzenes, and glycerophospholipids compound classes. Furthermore, these compounds classes were differentially distributed among the three species, indicating chemical/chemotaxis differences between the compared species. Chloroform and methanol are recommended as the optimal solvents to obtain a high content of phytochemical compounds from Asparagus species cladodes.

Urine metabolomic profiles of autism and autistic traits-A twin study.

Currently, there are no reliable biomarkers for autism diagnosis. The heterogeneity of autism and several co-occurring conditions are key challenges to establishing these. Here, we used untargeted mass spectrometry-based urine metabolomics to investigate metabolic differences for autism diagnosis and autistic traits in a well-characterized twin cohort (N = 105). We identified 208 metabolites in the urine samples of the twins. No clear, significant metabolic drivers for autism diagnosis were detected when controlling for other neurodevelopmental conditions. However, we identified nominally significant changes for several metabolites. For instance, phenylpyruvate (p = 0.019) and taurine (p = 0.032) were elevated in the autism group, while carnitine (p = 0.047) was reduced. We furthermore accounted for the shared factors, such as genetics within the twin pairs, and report additional metabolite differences. Based on the nominally significant metabolites for autism diagnosis, the arginine and proline metabolism pathway (p = 0.024) was enriched. We also investigated the association between quantitative autistic traits, as measured by the Social Responsiveness Scale 2nd Edition, and metabolite differences, identifying a greater number of nominally significant metabolites and pathways. A significant positive association between indole-3-acetate and autistic traits was observed within the twin pairs (adjusted p = 0.031). The utility of urine biomarkers in autism, therefore, remains unclear, with mixed findings from different study populations.

Liquid chromatography-high-resolution mass spectrometry-based metabolomics revealing the effects of zearalenone and alpha-zearalenol on human endometrial cancer cells.

Human exposure to mycotoxins through food involve a mixture of compounds, which can be harmful to human health. The Fusarium fungal species are known to produce zearalenone (ZEN), a non-steroidal estrogenic mycotoxin, and its metabolite alpha-zearalenol (α-ZEL), both of which possess endocrine-disruptive properties. Given their potential harm to human health through food exposure, investigating the combined effects of ZEN and α-ZEL becomes crucial. Hence, the combined impact of ZEN and α-ZEL study hold significant importance. This in vitro study delves into the critical area, examining their combined impact on the proliferation and metabolic profile of endometrial cancer Ishikawa cells via sulforhodamine, clonogenic, proliferating cell nuclear antigen (PCNA) and liquid chromatography-high resolution mass spectrometry (LC-HRMS) based untargeted metabolomics. Low concentrations of ZEN (25nm), α-ZEL (10nm), or a combination of both were observed to significantly enhance cell proliferation of Ishikawa cells, as evidenced by PCNA immunostaining, immunoblotting as well and clonogenic assays. The metabolomics revealed the perturbations in glycerophospholipid metabolism, nicotinate and nicotinamide metabolism and phenylalanine, tyrosine, tryptophan biosynthesis provides valuable insights into potential mechanism by which these mycotoxins may facilitate cell proliferation. However, further investigations are warranted to comprehensively understand the implications of these findings and their possible implications for human health.

Association of Ultraprocessed Foods Intake with Untargeted Metabolomics Profiles in Adolescents and Young Adults in the DONALD Cohort Study

BackgroundHigh consumption of ultraprocessed foods (UPFs) continues to draw significant public health interest because of the associated negative health outcomes. Metabolomics can contribute to the understanding of the biological mechanisms through which UPFs may influence health. ObjectivesTo investigate urine and plasma metabolomic biomarkers of UPF intake in adolescents and young adults. MethodsWe used data from the Dortmund Nutritional and Anthropometric Longitudinally Designed study to investigate cross-sectional associations of UPF intake with concentrations of urine metabolites in adolescents using 3d weighed dietary records (3d-WDR) and 24-h urine samples (n = 339), and associations of repeatedly assessed UPF intake with concentrations of circulating plasma metabolites in young adults with 3–6 3d-WDRs within 5 y preceding blood measurement (n = 195). Urine and plasma samples were analyzed using mass spectrometry-based metabolomics. Biosample-specific metabolite patterns (MPs) were determined using robust sparse principal components analysis. Multivariable linear regression models were applied to assess the associations of UPF consumption (as a percentage of total food intake in g/d) with concentrations of individual metabolites and MP scores. ResultsThe median proportion of UPF intake was 22.0% [interquartile range (IQR): 12.3, 32.9] in adolescents and 23.2% (IQR: 16.0, 31.6) in young adults. We identified 42 and 6 UPF intake-associated metabolites in urine and plasma samples, respectively. One urinary MP, “xenobiotics and amino acids” [β = 0.042, 95% confidence interval (CI): 0.014, 0.070] and 1 plasma MP, “lipids, xenobiotics, and amino acids” (β = 0.074, 95% CI: 0.031, 0.117) showed positive association with UPF intake. Both patterns shared 29 metabolites, mostly of xenobiotic metabolism. ConclusionsWe identified urine and plasma metabolites associated with UPF intake in adolescents and young adults, which may represent some of the biological mechanisms through which UPFs may influence metabolism and health.

Nanotopography Influences Host-Pathogen Quorum Sensing and Facilitates Selection of Bioactive Metabolites in Mesenchymal Stromal Cells and Pseudomonas aeruginosa Co-Cultures.

Orthopedic implant-related bacterial infections and resultant antibiotic-resistant biofilms hinder implant-tissue integration and failure. Biofilm quorum sensing (QS) communication determines the pathogen colonization success. However, it remains unclear how implant modifications and host cells are influenced by, or influence, QS. High aspect ratio nanotopographies have shown to reduce biofilm formation of Pseudomonas aeruginosa, a sepsis causing pathogen with well-defined QS molecules. Producing such nanotopographies in relevant orthopedic materials (i.e., titanium) allows for probing QS using mass spectrometry-based metabolomics. However, nanotopographies can reduce host cell adhesion and regeneration. Therefore, we developed a polymer (poly(ethyl acrylate), PEA) coating that organizes extracellular matrix proteins, promoting bioactivity to host cells such as human mesenchymal stromal cells (hMSCs), maintaining biofilm reduction. This allowed us to investigate how hMSCs, after winning the race for the surface against pathogenic cells, interact with the biofilm. Our approach revealed that nanotopographies reduced major virulence pathways, such as LasR. The enhanced hMSCs support provided by the coated nanotopographies was shown to suppress virulence pathways and biofilm formation. Finally, we selected bioactive metabolites and demonstrated that these could be used as adjuncts to the nanostructured surfaces to reduce biofilm formation and enhance hMSC activity. These surfaces make excellent models to study hMSC-pathogen interactions and could be envisaged for use in novel orthopedic implants.