Metabolomics最新文献

{"title":"Plasma and ovarian metabolomic responses to chronic stress in female mice.","authors":"Nan Lin, Tianyi Huang, Chirag J Patel, Elizabeth M Poole, Clary B Clish, Guillermo N Armaiz-Pena, Archana S Nagaraja, A Heather Eliassen, Katherine H Shutta, Raji Balasubramanian, Laura D Kubzansky, Susan E Hankinson, Oana A Zeleznik, Anil K Sood, Shelley S Tworoger","doi":"10.1007/s11306-025-02287-3","DOIUrl":"https://doi.org/10.1007/s11306-025-02287-3","url":null,"abstract":"<p><strong>Introduction: </strong>Chronic stress has been linked with higher risk of ovarian cancer and one posited pathway is through altered metabolism of amino acids, lipids, and other small molecule metabolites. However, the types of alterations that occur may not be uniform across tissue types.</p><p><strong>Objectives: </strong>We aim to examine and compare the impacts of chronic stress on metabolomic changes in circulation and ovarian tissue.</p><p><strong>Methods: </strong>Twelve-week-old, healthy, female, C57 black mice were randomly assigned to three-week of chronic stress using daily restraint (2-hours/day; n = 9) or normal care (n = 10). Metabolomic profiling was conducted on plasma and ovarian tissues via mass spectrometry. We utilized Wilcoxon Rank Tests, Metabolite Set Enrichment Analysis, Differential Network Analysis and a previously derived metabolite-based distress score to identify metabolomic alterations under restraint stress. We used the false discovery rate to account for testing multiple correlated comparisons.</p><p><strong>Results: </strong>In plasma, individual lysophosphatidylcholines and the metabolite class carnitines were positively associated while diacylglycerols and triacylglycerols were inversely associated with restraint stress (adjusted-p < 0.2). In contrast, in ovarian tissue, diacylglycerols and triacylglycerols were positively associated while carnitines were inversely associated with restraint stress (adjusted-p < 0.2). Other metabolites (cholesteryl esters, phosphatidylcholines/ phosphatidylethanolamines plasmalogens and multiple amino acids) were inversely associated with restraint stress in both plasma and ovarian tissue (adjusted-p < 0.2). A previously developed human metabolite-based distress score was higher in restraint stress mice compared to controls, with a larger difference observed in ovarian tissue than in plasma.</p><p><strong>Conclusion: </strong>These findings suggest research to understand the metabolic impact of chronic stress needs to consider both systemic and tissue-specific alterations.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"99"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioactive lipid profiles as non-invasive biomarkers of advanced fibrosis in people with HIV/HCV co-infection.","authors":"Tzu-Hao Lee, Kara Wegermann, Rachel Safeek, Meredith Mock, Sam Lusk, Lisa St John-Williams, Will J Thompson, Joseph E Lucas, M Arthur Moseley, Keyur Patel, Susanna Naggie","doi":"10.1007/s11306-025-02293-5","DOIUrl":"https://doi.org/10.1007/s11306-025-02293-5","url":null,"abstract":"<p><p>Non-invasive assessments for advanced liver fibrosis have limited accuracy in persons with human immunodeficiency virus (HIV) (PWH) who have hepatitis C virus (HCV) co-infection, and new tools are needed. Our aim was to discover oxylipin profiles associated with advanced liver fibrosis in treatment-naïve patients with HIV/HCV co-infection. Serum samples from 40 PWH with HCV were subjected to targeted oxylipin analysis. A model with AST and seven metabolites, including 5(S)-HEPE, 8-HETE, 14,15-DiHETrE, 4-HDoHE, 14- HDoHE, 7-HDoHE, and 9,10-DiHOME yielded an area under the receiver operating characteristic curve of 0.93, with optimal sensitivity and specificity of 86% and 88%, respectively.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"96"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets.","authors":"Chi Yen Tseng, Jessica A Salguero, Joshua D Breidenbach, Emilia Solomon, Claire K Sanders, Tara Harvey, M Grace Thornhill, Salvator J Palmisano, Zachary J Sasiene, Brett R Blackwell, Ethan M McBride, Kes A Luchini, Erick S LeBrun, Marc Alvarez, Phillip M Mach, Emilio S Rivera, Trevor G Glaros","doi":"10.1007/s11306-025-02297-1","DOIUrl":"10.1007/s11306-025-02297-1","url":null,"abstract":"<p><strong>Introduction: </strong>Data normalization is crucial for multi-omics integration, reducing systematic errors and maximizing the likelihood of discovering true biological variation. Most studies assess normalization for a single omics type or use datasets from separate experiments. Few address time-course data, where normalization might bias temporal differentiation. In this study, we compared common normalization methods and a machine learning approach, Systematical Error Removal using Random Forest (SERRF), using multi-omics datasets generated from the same experiment-even from the same cell lysate.</p><p><strong>Objectives: </strong>To develop a straightforward process to assess normalization effects and identify the most robust methods across multi-omics datasets.</p><p><strong>Methods: </strong>We analyzed metabolomics, lipidomics, and proteomics datasets from primary human cardiomyocytes and motor neurons exposed to acetylcholine-active compounds over time. Normalization effectiveness was evaluated based on improvement in QC features consistency and observing the change in treatment and time-related variance.</p><p><strong>Results: </strong>Probabilistic Quotient Normalization (PQN) and Locally Estimated Scatterplot Smoothing (LOESS) QC were identified as optimal for metabolomics and lipidomics, while PQN, Median, and LOESS normalization excelled for proteomics. These methods consistently enhanced QC feature consistency in metabolomics and lipidomics, and preserved time-related variance or treatment-related variance in proteomics, demonstrating their effectiveness and robustness. SERRF normalization, applied only to metabolomics in this study, outperformed other methods in some datasets but inadvertently masked treatment-related variance in others.</p><p><strong>Conclusion: </strong>Our evaluation identified PQN and LoessQC as the top methods for metabolomics and lipidomics, and PQN, Median, and Loess normalization for proteomics, in multi-omics integration in a temporal study.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"98"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214035/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oxygen attachment dissociation (OAD) MS/MS in the identification of positional isomers of dysregulated lipids detected in an ethanol exposure metabolomics study in mice.","authors":"Emily G Armitage, Alan Barnes, Olga Deda, Christina Virgiliou, Neil J Loftus, Helen Gika, Ian D Wilson","doi":"10.1007/s11306-025-02282-8","DOIUrl":"10.1007/s11306-025-02282-8","url":null,"abstract":"<p><strong>Introduction: </strong>In metabolic profiling studies the structural characterisation of lipids requires the identification of the head group, carbon number and the position(s) of carbon-carbon double bonds (C = C). Locating the position of double bonds is vital since minor structural differences between positional isomers can alter a lipid's biochemical function.</p><p><strong>Objectives: </strong>Oxygen Attachment Dissociation (OAD) is a novel fragmentation technology that enables the localisation of C = C double bonds in lipids. To evaluate its use in the structural characterisation of lipids, OAD has been applied in a discovery-based untargeted analysis of the metabolic impact of acute ethanol exposure in a mouse model.</p><p><strong>Methods: </strong>UHPLC-OAD-MS/MS was used to enhance the identification of lipids found to be significantly altered by acute ethanol exposure in the gut, liver and pancreas tissues of male C57BL/6 mice receiving a Lieber-DeCarli liquid diet either containing 5% ethanol or an isocaloric control diet. Tissue extracts were analysed using untargeted UHPLC-DIA-MS/MS; UHPLC-OAD-MS/MS analysis was performed to further annotate lipids that were significantly increased or diminished in the animals exposed to ethanol.</p><p><strong>Results: </strong>UHPLC-DIA-MS/MS analysis of gut, liver and pancreas tissue revealed 101 lipids that were significantly increased or diminished in ethanol treated mice. Of the included 83 unsaturated lipids detected, UHPLC-OAD-MS/MS enabled the localisation of C = C double bonds in 61, including isomers indistinguishable by MS/MS with collision induced dissociation.</p><p><strong>Conclusions: </strong>The results demonstrate the value of OAD-MS/MS in enhancing lipid identification. The resulting improvement may enable better understanding of the underlying biochemistry in the response of mice to exposure to ethanol.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"95"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12213981/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Untargeted metabolomic profiling of serum and urine in kidney cancer: a non-invasive approach for biomarker discovery.","authors":"Anna Ossolińska, Aneta Płaza-Altamer, Krzysztof Ossoliński, Tadeusz Ossoliński, Tomasz Ruman, Joanna Nizioł","doi":"10.1007/s11306-025-02294-4","DOIUrl":"10.1007/s11306-025-02294-4","url":null,"abstract":"<p><strong>Introduction: </strong>Kidney cancer (KC) is a significant global health burden. Early diagnosis remains challenging due to the limited sensitivity and specificity of existing biomarkers. Metabolomics enables the detection of disease-specific metabolic alterations, offering potential for improved non-invasive biomarker discovery.</p><p><strong>Objectives: </strong>This study aims to characterize metabolic signatures distinguishing KC patients from non-cancer controls and evaluate the diagnostic potential of annotated metabolites in serum and urine.</p><p><strong>Methods: </strong>An untargeted metabolomic analysis was performed on serum and urine samples from 56 KC patients and 200 controls using ultra-high-resolution mass spectrometry coupled with ultra-high-performance liquid chromatography (UHPLC-UHRMS in both positive and negative ionization modes with vacuum insulated probe heated electrospray ionization (VIP-HESI)). Samples were collected from the same individuals, which helped minimize inter-individual variability and enabled cross-biofluid comparison of metabolic profiles. Multivariate statistical techniques were applied to detect metabolic differences, including principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). An external validation strategy using training and validation subsets was employed to assess the robustness of candidate metabolite biomarkers matched in the discovery dataset.</p><p><strong>Results: </strong>Distinct metabolic signatures were observed between KC patients and controls, with key metabolic pathways involving lipid metabolism, amino acid biosynthesis, and glycerophospholipid metabolism. 19 serum and 12 urine metabolites showed high diagnostic potential (AUC > 0.90), demonstrating strong sensitivity and specificity.</p><p><strong>Conclusion: </strong>These findings support the application of metabolomics for RCC detection and highlight the metabolic alterations associated with kidney cancer. Further validation in larger cohorts is necessary to confirm the clinical utility of these potential biomarkers.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"97"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12213972/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic screening of COVID-19 based on multiomics data by high-resolution mass spectrometry (MALDI (+)-TOF MS and ESI(±)-Orbitrap MS).","authors":"Camila Medeiros de Almeida, Larissa Campos Motta, Gabriely Silveira Folli, Juliana de Mello do Carmo, Andréa Rodrigues Chaves, José Brango-Vanegas, Rosiane Andrade da Costa, Octavio Luiz Franco, Frederico Garcia Pinto, Denise Coutinho Endringer, Paulo Roberto Filgueiras, Valério Garrone Barauna, José Geraldo Mill, Wanderson Romão","doi":"10.1007/s11306-025-02299-z","DOIUrl":"https://doi.org/10.1007/s11306-025-02299-z","url":null,"abstract":"<p><strong>Introduction: </strong>The urgency for rapid diagnostics during the COVID-19 pandemic in 2020 highlighted the importance of effective methods such as RT-PCR, however multiomics analyses offer a more comprehensive approach, going beyond simple viral detection to the biological understanding of the disease.</p><p><strong>Objective: </strong>this study aimed to devise an effective multiomic method for differentiating SARS-CoV-2-infected patients, leveraging serum lipid and proteomic profiles.</p><p><strong>Method: </strong>Electrospray ionization mass spectrometry (ESI-MS) with an Orbitrap analyzer was used to investigate the lipid profile of 239 serum samples (119 positive and 120 negative for test ELISA for COVID-19). Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was used to analyze the proteomic profile of 300 serum samples (150 positive and 150 negative for test ELISA for SARS-CoV-2). After processing MS data and selecting variables, statistical analyses such as the Volcano plot, Heatmap, Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Support Vector Machine (SVM) were performed to distinguish the most relevant variables to classify samples that presented or did not present antibodies for SARS-CoV-2.</p><p><strong>Results: </strong>Lipidomics analysis using ESI(±)-Orbitrap MS and SVM models, showed sensitivities of 96.67% and 100%, specificities of 82.14% and 96.88%, and accuracies of 89.66% and 98.44% for positive and negative ion mode analyses, respectively. For Proteomics analyses using MALDI(+)-TOF MS, the linear PLS-DA model demonstrated an accuracy of 99.10%.</p><p><strong>Conclusion: </strong>both ESI-Orbitrap MS and MALDI-TOF MS techniques, combined with chemometrics, demonstrated promising alternatives with high sensitivity and specificity for distinguishing the immune response. However, the investigation of the lipid profile by direct infusion ESI MS represents a valuable and efficient approach that reinforces the application of mass spectrometry in clinical diagnostics, particularly when aiming for high-throughput and minimally invasive analysis.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"94"},"PeriodicalIF":3.5,"publicationDate":"2025-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144528724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolomic alterations in human brain microvascular endothelial cells induced by traumatic injury.","authors":"Enis Cela, David Tweddell, Eric K Patterson, Mark Daley, Gediminas Cepinskas, Douglas D Fraser","doi":"10.1007/s11306-025-02286-4","DOIUrl":"10.1007/s11306-025-02286-4","url":null,"abstract":"<p><strong>Introduction: </strong>Altered metabolic pathways are critical in the progression of traumatic brain injury (TBI). Identifying differentially abundant metabolites (DAMs) from specific cell types can offer valuable diagnostic and prognostic insights.</p><p><strong>Objective: </strong>This study aimed to characterize the metabolomic profile of injured human brain microvascular endothelial cells (hBMEC) at 2-, 12-, 24-, and 48 h post-injury.</p><p><strong>Methods: </strong>Using an in vitro TBI model, we analyzed metabolites in cell culture media through a combination of direct injection mass spectrometry and a custom reverse-phase LC-MS/MS assay. We evaluated 644 metabolites at each time point.</p><p><strong>Results: </strong>Phosphatidylcholines were significantly upregulated across all time intervals. At 2- and 12 h post-injury, the most significantly upregulated metabolites included sphingomyelin (OH) C22:1, ethylmalonic acid, and methylhistidine, while guanosine and the combination of butyric acid + isobutyric acid were the most downregulated. At 24 and 48 h, deoxyadenosine and inosine, respectively, emerged as the most upregulated metabolites, with butyric acid + isobutyric acid and quinoline-4-carboxylic acid showing the greatest downregulation.</p><p><strong>Conclusion: </strong>Metabolomic profiling identified various DAMs after traumatic injury that are linked to human endothelial dysfunction. Future experiments should expand the number of metabolites measured to determine the underlying signaling pathways.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"93"},"PeriodicalIF":3.5,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12204887/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144506411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolomic profiling of renal cyst fluid in advanced ADPKD: insights from dialysis and transplantation cohorts.","authors":"Simon Heckscher, Nicolas A Ihlo, Jan Schueler, Fabian Kellermeier, Jens M Werner, Barbara Nuebel, Verena Gross, Matthias May, Bernd Wullich, Martin Kammerl, Carsten Gnewuch, Ralph Burkhardt, Björn Buchholz, Eric Pion, Thiha Aung, Miriam Banas, Hans J Schlitt, Peter J Oefner, Katja Dettmer, Wolfram Gronwald, Merle Behr, Silke Haerteis, Katharina M Schmidt","doi":"10.1007/s11306-025-02291-7","DOIUrl":"10.1007/s11306-025-02291-7","url":null,"abstract":"<p><strong>Background: </strong>Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disorder characterized by progressive renal cyst formation, often leading to end-stage kidney disease (ESKD). In contrast to the urinary metabolome in ADPKD, the composition of renal cyst fluid remains largely unexplored.</p><p><strong>Methods: </strong>We conducted a comprehensive metabolomic analysis of renal cyst fluid from 26 ADPKD patients (20 on dialysis, six with kidney transplants) using ¹H-NMR spectroscopy and liquid chromatography-mass spectrometry (LC-MS). Cysts were clustered based on metabolite profiles, and differences were analyzed across groups defined by renal function status (dialysis vs. transplant), cyst volume, and cyst fluid sodium concentrations.</p><p><strong>Results: </strong>Dialysis patients and transplant recipients differed significantly in their renal cyst fluid metabolomes. The former exhibited higher concentrations of myoinositol, creatinine, sucrose, τ-methylhistidine, trigonelline, and sarcosine, while the latter showed increased levels of leucine, isoleucine, valine and alanine. Remarkably, metabolites of the immunosuppressive prodrug mycophenolate mofetil were detected in renal cyst fluids after kidney transplantation. Despite intra- and interindividual variability, cyst fluid from the same patient displayed greater homogeneity. Interestingly, metabolomic profiles were not altered by cyst size.</p><p><strong>Conclusion: </strong>This first systematic metabolomic analysis of renal cyst fluid in advanced ADPKD reveals distinct metabolic signatures linked to renal function status. The data provides novel insights into the pathophysiology of ADPKD and highlight the potentials of renal cyst fluid metabolomics for identifying biomarkers and therapeutic targets.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"90"},"PeriodicalIF":3.5,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12202516/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144497480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolomic and physiological insights to ameliorate post-harvest stress in cultured mussels.","authors":"M C F Cheng, M R V Welford, L N Zamora, N J Delorme, N L C Ragg, A J R Hickey, B J Dunphy","doi":"10.1007/s11306-025-02289-1","DOIUrl":"10.1007/s11306-025-02289-1","url":null,"abstract":"<p><strong>Introduction: </strong>Survival and quality of Green-lipped mussels (Perna canaliculus) exported live could be further improved through enhanced post-harvest handling, aiming to reduce the physiological stress associated with transport out of water. Addressing these issues requires identifying treatments to reduce post-harvest stress and understanding underpinning molecular mechanisms.</p><p><strong>Objective: </strong>This study aimed to evaluate treatments (low temperature and MgCl₂ anaesthetic baths) to mitigate post-harvest handling stress in mussels.</p><p><strong>Methods: </strong>We analysed metabolomic profiles using gas chromatography-mass spectrometry (GC/MS), anaerobic enzyme activity in gill and adductor muscle, and haemolymph biochemistry (pH, antioxidant capacity and osmolality) in mussels subjected to 14 °C, 4 °C or MgCl₂ water-bath treatments after simulated harvest.</p><p><strong>Results: </strong>Metabolomic analyses revealed post-harvest mussels experienced increased anaerobic activity, osmotic and oxidative stress, reduced pH (Δ0.31), and lower polyunsaturated fatty acids (PUFA). Mussels immersed in 14 °C seawater recovered from anaerobiosis but had a strong indication of oxidative stress. Although mussels in 4 °C immersion had increased levels of PUFA, implying depressed lipid oxidation, the treatment did not improve recovery from anaerobiosis, indicated by reduced pH (Δ0.38). Mussels treated with MgCl₂ showed some recovery from anaerobic handling stress, with decreased anaerobic end product accumulation and a more modest haemolymph pH decline (Δ0.16) compared to controls. While anaerobic enzyme activities showed tissue-specific responses, they did not exhibit the pronounced differences among treatments shown by their products in metabolic profiling.</p><p><strong>Conclusion: </strong>Among the proposed re-immersion treatments, immersing mussels in seawater containing 40 g L^- 1 MgCl₂ seemed to be the most effective treatment to alleviate post-harvest metabolic stress, therefore potentially increasing shelf-life of mussels destined for live export.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"91"},"PeriodicalIF":3.5,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12202636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144497479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploratory untargeted metabolomics analysis reveals differences in metabolite profiles in pregnant people exposed vs. unexposed to E-cigarettes secondhand in the NYU children's health and environment study.","authors":"Haleigh Cavalier, Sara E Long, Tori Rodrick, Yik Siu, Melanie H Jacobson, Yelena Afanasyeva, Scott Sherman, Mengling Liu, Linda G Kahn, Drew R Jones, Leonardo Trasande","doi":"10.1007/s11306-025-02280-w","DOIUrl":"https://doi.org/10.1007/s11306-025-02280-w","url":null,"abstract":"<p><strong>Introduction: </strong>Secondhand exposure to e-cigarettes represents a potential population health risk given e-cigarette's prevalence and their unknown health effects, particularly among vulnerable populations such as pregnant people.</p><p><strong>Objectives: </strong>To explore metabolomic differences between pregnant people exposed vs. not exposed to secondhand e-cigarette aeresols, to identify possible biomarkers of exposure and metabolic pathways perturbed by e-cigarettes.</p><p><strong>Methods: </strong>Exposed participants (n = 19) from the NYU Children's Health and Environment Study were matched to unexposed participants (n = 57) at a 1:3 ratio on age, hospital of recruitment, and race/ethnicity. Early-pregnancy urine samples were analyzed via an untargeted metabolomics platform using reverse-phase liquid chromatography mass-spectrometry. Feature-exposure associations were estimated using conditional logistic regression to adjust for matching factors. A sensitivity analysis was conducted adjusting for secondhand tobacco exposure.</p><p><strong>Results: </strong>Among features enriched in the exposed group were flavonoids and flavor-related compounds including homoeriodictyol and naringenin-7-O-beta-D-glucuronide, 3-acetomidocoumarin, and guaiacol pentosylglucoside; synthetic drugs such as the endocannabinoid AM1172 and the stimulant alpha-PVP; and metabolites associated with lipid metabolism, including 2,4-undecadiene-8,10-diynoic acid isobutylamide, palmitamide, glycerol trihexanoate, and tetradecyl phosphonate. Among features negatively associated with exposure were xanthines.</p><p><strong>Conclusion: </strong>This study is the first untargeted metabolomics study investigating metabolomic markers of e-cigarette exposure, including secondhand exposure, in a pregnant cohort. Despite this study's small size and exploratory nature, the results of this work suggest that flavoring components could be biomarkers for e-cigarette exposure, and that co-exposure to e-cigarettes and other drugs may be prevalent.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 4","pages":"92"},"PeriodicalIF":3.5,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144497478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}