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Impacts of Oxylipins on ischemic stroke: from pathophysiology to clinical phenotypes. 氧脂素对缺血性脑卒中的影响:从病理生理到临床表型。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-10-16 DOI: 10.1007/s11306-025-02324-1
Liuyang Cheng, Jian Xia
{"title":"Impacts of Oxylipins on ischemic stroke: from pathophysiology to clinical phenotypes.","authors":"Liuyang Cheng, Jian Xia","doi":"10.1007/s11306-025-02324-1","DOIUrl":"https://doi.org/10.1007/s11306-025-02324-1","url":null,"abstract":"<p><strong>Background: </strong>Ischemic stroke is a detrimental disease that could can lead to disability and death., Multiple pathophysiological processes are involved in ischemic stroke, from the initial stages to the chronic stages. Oxylipins are a class of bioactive lipid metabolites mainly derived from the oxidation of omega-3 and omega-6 polyunsaturated fatty acids (PUFAs). Emerging evidence based on laboratory results shows that diverse subclasses of oxylipins exert protective or harmful effects in ischemic stroke, and an increasing number of clinical studies have reported an association between oxylipins and ischemic stroke. Oxylipins have been widely reported in cardiovascular disease, however, there are no reviews on the implications of oxylipin regulation in ischemic stroke.</p><p><strong>Aim of review: </strong>In this review, in addition to discussing the biosynthesis and response signaling of oxylipins in many diseases, we aim to provide an overview of how oxylipin modulates the pathophysiology of ischemic stroke and influences the relevant clinical phenotypes and promising therapeutics to regulate oxylipins.</p><p><strong>Key scientific concepts of the review: </strong>Oxylipins hold extensive research potential in lipidomics. This review systematically elucidates the pivotal roles of distinct oxylipins subclasses in ischemic stroke pathogenesis, encompassing pathophysiological mechanisms such as inflammatory responses, oxidative stress, immune response, thrombosis, cellular apoptosis, and vascular homeostasis dysregulation. The associations between oxylipins and ischemic stroke phenotypes are obvious. However, more metabolomic studies are needed to identify oxylipin biomarkers in patients with ischemic stroke across different samples or cell types to bridge oxylipins regulation with clinical phenotype intervention.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 6","pages":"148"},"PeriodicalIF":3.3,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145301928","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}
引用次数: 0
Fluoride exposure and metabolic alterations: a scoping review of metabolomic studies. 氟暴露和代谢改变:代谢组学研究的范围审查。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-10-10 DOI: 10.1007/s11306-025-02353-w
Guillermo Tamayo-Cabeza, Gina Castiblanco-Rubio, E Angeles Martínez-Mier
{"title":"Fluoride exposure and metabolic alterations: a scoping review of metabolomic studies.","authors":"Guillermo Tamayo-Cabeza, Gina Castiblanco-Rubio, E Angeles Martínez-Mier","doi":"10.1007/s11306-025-02353-w","DOIUrl":"10.1007/s11306-025-02353-w","url":null,"abstract":"<p><strong>Background: </strong>Evidence from in-vitro and animal studies suggests that fluoride exposure may alter key metabolic pathways such as amino acid, fatty acid and energy metabolism in different tissues, requiring an understanding of its impact at the molecular level, especially in human populations.</p><p><strong>Aim of review: </strong>This scoping review aims to systematically map and synthesize the available evidence on metabolic alterations associated with fluoride exposure, specifically focusing on studies employing metabolomic analysis techniques to identify altered metabolites and metabolic pathways at the cellular, tissue, and organ levels.</p><p><strong>Key scientific concepts of review: </strong>Fluoride exposure has been found to alter a broad range of metabolic pathways, including those involved in energy metabolism (glycolysis, TCA cycle, mitochondrial activity), macromolecule metabolism (purine and fatty acid metabolism, amino acid pathways), and cellular stress responses (oxidative stress and glutathione metabolism). However, there is limited evidence in humans and potential mechanistic studies. While supportive, the reliance on animal models and in-vitro studies points to the need for human studies to compare metabolic alterations at different levels of fluoride exposure to aid in understanding the systemic effects of fluoride on human health.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 5","pages":"147"},"PeriodicalIF":3.3,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12513868/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145275197","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}
引用次数: 0
Quantitative comparison of whole blood, plasma and serum metabolomes across different blood collection methods. 不同采血方法的全血、血浆和血清代谢组的定量比较。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-10-05 DOI: 10.1007/s11306-025-02345-w
Ashley Zubkowski, Yamilé López-Hernández, Dorsa Yahya Rayat, Jiamin Zheng, Mickel R Hiebert-Giesbrecht, Mathew Johnson, Prashanthi Kovur, Rupasri Mandal, David S Wishart
{"title":"Quantitative comparison of whole blood, plasma and serum metabolomes across different blood collection methods.","authors":"Ashley Zubkowski, Yamilé López-Hernández, Dorsa Yahya Rayat, Jiamin Zheng, Mickel R Hiebert-Giesbrecht, Mathew Johnson, Prashanthi Kovur, Rupasri Mandal, David S Wishart","doi":"10.1007/s11306-025-02345-w","DOIUrl":"https://doi.org/10.1007/s11306-025-02345-w","url":null,"abstract":"<p><strong>Objectives: </strong>This study quantitatively evaluated whether metabolite profiles differed between capillary (fingerstick vs. microblade) and venous (hypodermic needle) blood collection methods, and the corresponding WB, plasma, and serum samples.</p><p><strong>Introduction: </strong>Blood may be collected through venipuncture, fingerstick, or microblade devices. Collected samples may remain as whole blood (WB) or be processed to serum or plasma. Differences in collection methods, blood sources (venous or capillary), body locations and processing protocols may influence metabolite composition. However, no systematic assessment has evaluated collection effects on the WB/serum/plasma metabolome.</p><p><strong>Methods: </strong>Blood was collected from five healthy volunteers via fingerstick (finger), microblade (shoulder, using Tasso + devices), and hypodermic needle (arm) draw. WB, serum and plasma samples from each source were immediately analyzed (to eliminate storage effects) by a quantitative LC-MS assay for 142 metabolites.</p><p><strong>Results: </strong>Fresh WB showed a distinct metabolite profile compared to fresh plasma or serum, regardless of collection method. Plasma and serum samples from all collection methods exhibited differences in only two metabolites: sarcosine and pyruvic acid. When identical biofluid types were compared, minimal metabolome differences were observed across blood collection methods, body location and peripheral blood sources.</p><p><strong>Conclusions: </strong>For most metabolites, all three collection methods (venous, microblade, and fingerstick) produced nearly identical results when comparing identical biofluid types. We found minimal metabolic differences between serum and plasma, regardless of collection method, peripheral blood source or body location. These results prove that inexpensive blood microsampling systems (via shoulder-microblade or fingerstick) yield comparable metabolite data relative to venous collection methods.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 5","pages":"146"},"PeriodicalIF":3.3,"publicationDate":"2025-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145233095","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}
引用次数: 0
Urinary metabolites associated with the long-term risk for chronic kidney disease incidence and progression in hypertensive patients. 尿代谢物与高血压患者慢性肾病发生和进展的长期风险相关
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-09-26 DOI: 10.1007/s11306-025-02341-0
Ziyu Wang, Min Fei, Yue Qi, Zhao Yang, Jiangtao Li, Shusi Ding, Wenlang Zhao, Yunqi Zhang, Na Wang, Pan Zhou, Xuan Deng, Pingping Jia, Jing Xue, Lemin Zheng, Jing Liu
{"title":"Urinary metabolites associated with the long-term risk for chronic kidney disease incidence and progression in hypertensive patients.","authors":"Ziyu Wang, Min Fei, Yue Qi, Zhao Yang, Jiangtao Li, Shusi Ding, Wenlang Zhao, Yunqi Zhang, Na Wang, Pan Zhou, Xuan Deng, Pingping Jia, Jing Xue, Lemin Zheng, Jing Liu","doi":"10.1007/s11306-025-02341-0","DOIUrl":"https://doi.org/10.1007/s11306-025-02341-0","url":null,"abstract":"<p><strong>Background: </strong>Hypertension is a leading risk factor for chronic kidney disease (CKD), yet the metabolic mechanisms linking hypertension to CKD remain unclear. This study aimed to identify metabolites associated with CKD incidence and progression in hypertensive patients using untargeted metabolomics analysis.</p><p><strong>Methods: </strong>A prospective cohort study was conducted to identify metabolites associated with the incidence and progression of CKD in hypertensive patients. Untargeted metabolomic profiling was conducted, and three statistical models-logistic regression, lasso regression, and random forest-were utilized to identify metabolites associated with CKD. Modified Poisson regression was used to assess the associations between metabolites and kidney-related outcomes.</p><p><strong>Results: </strong>Untargeted metabolomic profiling identified distinct metabolite patterns distinguishing hypertensive patients with CKD from those without. These metabolites were identified across the three statistical models, with 94 showing significance in at least two. Four metabolites-L-theanine, cysteine-s-sulfate, mesaconic acid, and 2-aminoadipic acid-were inversely associated with CKD incidence and progression. L-theanine and cysteine-s-sulfate were both associated with decreased estimated glomerular filtration rate (eGFR) and increased urinary albumin-to-creatinine ratio (UACR). In contrast, mesaconic acid was linked to increased UACR, and 2-aminoadipic acid was associated with decreased eGFR. Patients at higher risk of CKD progression exhibited significantly lower levels of these metabolites.</p><p><strong>Conclusion: </strong>L-theanine, cysteine-s-sulfate, mesaconic acid, and 2-aminoadipic acid show an inverse association with CKD incidence and progression in hypertensive patients, suggesting their potential as biomarkers for CKD risk. Further studies are warranted to validate these findings and investigate their therapeutic implications.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 5","pages":"142"},"PeriodicalIF":3.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145149871","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}
引用次数: 0
Interpretation of multivariate metabolomic models through network-guided perturbation-based explanations. 通过网络引导的基于微扰的解释解释多变量代谢组学模型。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-09-26 DOI: 10.1007/s11306-025-02347-8
Julia Kuligowski, Abel Albiach-Delgado, David Pérez-Guaita, Guillermo Quintás
{"title":"Interpretation of multivariate metabolomic models through network-guided perturbation-based explanations.","authors":"Julia Kuligowski, Abel Albiach-Delgado, David Pérez-Guaita, Guillermo Quintás","doi":"10.1007/s11306-025-02347-8","DOIUrl":"https://doi.org/10.1007/s11306-025-02347-8","url":null,"abstract":"<p><strong>Introduction: </strong>Multivariate modeling is crucial for uncovering complex patterns in metabolomic data, yet the interpretability of such models remains a major challenge.</p><p><strong>Methods: </strong>Here, we propose a network-guided framework that enhances perturbation-based explanations by grouping metabolites according to communities identified in metabolic networks, rather than relying on predefined pathways. The approach is applied to postprandial plasma metabolomic data as a model example and using a metabolic network including KEGG metabolites and enzyme-catalyzed reactions in which they participate.</p><p><strong>Results and conclusion: </strong>Results show that the use of metabolite communities derived from network representation in perturbation-based analysis of multivariate models, serves as a complementary tool for their biochemical interpretation, that might extend it beyond fixed, established pathways. The strategy is model-agnostic and readily transferable across omics domains and multivariate methods, offering a new tool for model interpretability and hypothesis generation in complex biological datasets.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 5","pages":"143"},"PeriodicalIF":3.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145149933","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}
引用次数: 0
Identification of an extraction protocol from dried blood spots for untargeted metabolomics: application to phenylketonuria. 从干血斑中提取非靶向代谢组学方案的鉴定:应用于苯丙酮尿。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-09-26 DOI: 10.1007/s11306-025-02338-9
Sébastien Vézirian, Valérie Cunin, Carlos Dias, Audrey Le Gouellec, Patrice Faure, Bertrand Toussaint, Christelle Corne, Caroline Plazy
{"title":"Identification of an extraction protocol from dried blood spots for untargeted metabolomics: application to phenylketonuria.","authors":"Sébastien Vézirian, Valérie Cunin, Carlos Dias, Audrey Le Gouellec, Patrice Faure, Bertrand Toussaint, Christelle Corne, Caroline Plazy","doi":"10.1007/s11306-025-02338-9","DOIUrl":"10.1007/s11306-025-02338-9","url":null,"abstract":"<p><strong>Aim: </strong>Phenylketonuria is an inherited metabolic disorder characterized by a deficiency in phenylalanine hydroxylase. However, the impact of this deficit on the patient's overall metabolism is not fully known. Studying this pathology through untargeted metabolomics requires to determine a method for metabolites extraction, here applied to Dried Blood Spot (DBS), a matrix offering several practical advantages.</p><p><strong>Methodology: </strong>The DBS of 30 phenylketonuric patients and 30 healthy controls were used for the study. Following a literature review, different extraction protocols and solvents were investigated, with or without an evaporation step, and compared to identify the most appropriate protocol to extract metabolites from the DBS for metabolomics analysis of phenylketonuria by LC-MS/MS, then applied to the patients and controls to validate its application to phenylketonuria.</p><p><strong>Results: </strong>The most promising extraction method is a gentle agitation overnight at 4 °C, with an evaporation step, and an extraction solvent composed by 80%/20% acetonitrile and water. This method extracted 2 to 6 times more metabolites than other protocols tested with a better extraction of amino acids and derivatives. This protocol enabled us to identify metabolic pathways that were disrupted in phenylketonuric patients, as well as differences in metabolite abundance between the different cohorts. Metabolic profiles differed both between patients and controls, and between patients according to their phenylalanine concentration. These differences were independent of the amino acid supplementation in some patients.</p><p><strong>Conclusion: </strong>The results obtained on the phenylketonuria patients cohort compared to controls, validated the extraction protocol for studying the systemic metabolic impact of phenylketonuria.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 5","pages":"141"},"PeriodicalIF":3.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12474595/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145149912","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}
引用次数: 0
OMNImet®•GUT collection kit supports sample collection and ambient temperature preservation of faecal short chain fatty acids. OMNImet®•肠道收集试剂盒支持粪便短链脂肪酸的样品收集和环境温度保存。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-09-26 DOI: 10.1007/s11306-025-02322-3
Jemma Cleminson, Caroline Kerbiriou, Shona McKirdy, Lauren Beck, David I Campbell, Andrew R Gennery, Janet E Berrington, Konstantinos Gerasimidis, Christopher J Stewart
{"title":"OMNImet®•GUT collection kit supports sample collection and ambient temperature preservation of faecal short chain fatty acids.","authors":"Jemma Cleminson, Caroline Kerbiriou, Shona McKirdy, Lauren Beck, David I Campbell, Andrew R Gennery, Janet E Berrington, Konstantinos Gerasimidis, Christopher J Stewart","doi":"10.1007/s11306-025-02322-3","DOIUrl":"10.1007/s11306-025-02322-3","url":null,"abstract":"<p><strong>Introduction: </strong>Short-chain fatty acids (SCFAs) are microbial metabolites that play critical roles in health. As SCFAs are highly volatile molecules and ongoing bacterial metabolism in faecal samples collected can cause compositional shifts, quick SCFA preservation at the point of sample collection is of utmost importance for valid results.</p><p><strong>Objectives: </strong>This study aimed to evaluate the OMNImet®•GUT kit as an immediate preservation method that stabilises SCFAs at room temperature compared to a standardised laboratory sodium hydroxide method.</p><p><strong>Methods: </strong>Faecal samples from 12 participants were included. For each sample, 1 g faeces was aliquoted into 2.5 ml OMNImet®•GUT buffer and 1 g faeces was aliquoted into 2.5 ml sodium hydroxide (current laboratory method). SCFA profiles were quantified at zero, 24-, and 48-h using gas chromatography. SCFA profiles were compared across patients, preservation method, and time point.</p><p><strong>Results: </strong>Results showed that most SCFA profiles were stable and comparable between methods. The sample donor explained the most variance and was the most significant factor associated with the SCFA profiles, independent of the collection kit or duration at room temperature (R<sup>2</sup> = 0.761, P = 0.001). However, the type of preservation method was also statistically significant (R<sup>2</sup> = 0.090, P < 0.001). Time did not significantly impact on SCFA profiles up to 48 h (P = 0.582).</p><p><strong>Conclusion: </strong>These findings support OMNImet®•GUT as a practical alternative for SCFA preservation, particularly for multicentre studies where immediate sample collection can be logistically challenging, but it is important to use a consistent collection method within studies.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 5","pages":"139"},"PeriodicalIF":3.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145149898","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}
引用次数: 0
Metabolic remodeling and its hidden heterogeneity in uterine fibroids: comprehensive metabolomic profiling and mass spectrometry imaging. 子宫肌瘤代谢重塑及其隐藏异质性:综合代谢组学分析和质谱成像。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-09-26 DOI: 10.1007/s11306-025-02346-9
Jialin Liu, Maokun Liao, Jingchao Liu, Shuo Liang, Jin Xie, Dandan Liang, Mingzhao Du, Honghui Shi, Wei Song
{"title":"Metabolic remodeling and its hidden heterogeneity in uterine fibroids: comprehensive metabolomic profiling and mass spectrometry imaging.","authors":"Jialin Liu, Maokun Liao, Jingchao Liu, Shuo Liang, Jin Xie, Dandan Liang, Mingzhao Du, Honghui Shi, Wei Song","doi":"10.1007/s11306-025-02346-9","DOIUrl":"https://doi.org/10.1007/s11306-025-02346-9","url":null,"abstract":"<p><strong>Introduction: </strong>As the most common benign gynecological tumor in women, uterine fibroids not only pose a serious threat to reproductive health but also directly impair fertility. The structural abnormalities of the uterus and metabolic disturbances they induce have become critical pathological contributors to infertility, recurrent miscarriage, and obstetric complications in reproductive-aged women. However, the underlying metabolic mechanisms of uterine fibroids remain poorly understood.</p><p><strong>Objective: </strong>This study aimed to explore metabolic remodeling of uterine fibroids from patients.</p><p><strong>Methods: </strong>We performed global metabolomics analysis on myometrium and uterine fibroid tissues by combining ultra-high performance liquid chromatography coupled with mass spectrometry (UHPLC-MS) analysis and gas chromatography coupled with mass spectrometry (GC-MS) analysis. Spatially resolved metabolomics was carried out to analyze intratumor metabolic heterogeneity via desorption electrospray ionization mass spectrometry imaging (DESI-MSI). Combined with machine learning, important metabolites related to uterine fibroids were identified.</p><p><strong>Results: </strong>This study enabled mapping a comprehensive metabolome atlas up to 825 metabolites in human myometrium and uterine fibroid tissues via combining UHPLC-MS with GC-MS. Metabolic shifts from myometrium to uterine fibroids were clearly observed, which was accompanied by large changes in metabolites and amino acid metabolic pathways to display metabolic remodeling of uterine fibroids. Combined with machine learning, a total of ten metabolites were identified to characterize metabolic properties of uterine fibroids. Furthermore, DESI-MSI was employed to effectively differentiate regions of hyaline degeneration from those devoid of such degeneration, thereby firstly highlighting the intrinsic metabolic heterogeneity present in uterine fibroids.</p><p><strong>Conclusion: </strong>The findings offer new insights into the metabolic pathophysiology of fibroids, which may aid in the development of targeted therapeutic strategies for this widespread gynecological disorder.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 5","pages":"144"},"PeriodicalIF":3.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145149892","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}
引用次数: 0
Gestational age and models for predicting gestational diabetes mellitus. 妊娠期糖尿病的胎龄及预测模型。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-09-26 DOI: 10.1007/s11306-025-02314-3
Aisling Murphy, Jeffrey Gornbein, Ophelia Yin, Brian Koos
{"title":"Gestational age and models for predicting gestational diabetes mellitus.","authors":"Aisling Murphy, Jeffrey Gornbein, Ophelia Yin, Brian Koos","doi":"10.1007/s11306-025-02314-3","DOIUrl":"10.1007/s11306-025-02314-3","url":null,"abstract":"<p><strong>Introduction: </strong>Gestational diabetes mellitus (GDM) is generally identified by measuring elevated maternal glycemic responses to an oral glucose load in late pregnancy (> 0.6 term). However, our preliminary study suggests that GDM could be identified with a high predictive accuracy (96%) in the first trimester (< 0.35 term) by characteristic changes in the metabolite profile of maternal urine. (Koos and Gornbein, American Journal of Obstetrics and Gynecology 224:215.e1-215.e7, 2021). The gestational decrease in insulin sensitivity and the accompanying perturbations of the maternal metabolome suggest that a distinguishing urinary metabolite algorithm could differ in later gestation.</p><p><strong>Objectives: </strong>This study was carried out (1) to identify the metabolites of late-pregnancy urine that are independently associated with GDM, (2) to select a metabolite subgroup for a predictive model for the disorder, (3) to compare the predictive accuracy of this late pregnancy algorithm with the model previously established for early pregnancy, and (4) to determine whether the late urinary markers of GDM likely contribute to the late pregnancy decline in insulin sensitivity.</p><p><strong>Methods: </strong>This observational nested case-control study comprised a cohort of 46 GDM patients matched with 46 control subjects (CON). Random urine samples were collected at ≥ 24 weeks' gestation and were analyzed by a global metabolomics platform. A consensus of three multivariate criteria was used to distinguish GDM from CON subjects, and a classification tree of selected metabolites was utilized to compute a model that separated GDM vs CON.</p><p><strong>Results: </strong>The GDM and CON groups were similar with respect to maternal age, pre-pregnancy BMI and gestational age at urine collection [GDM 30.8 ± 3.6(SD); CON [30.5 ± 3.6] weeks as they were matched by these variables. Three multivariate criteria identified eight metabolites simultaneously separating GDM from CON subjects, comprising five markers of mitochondrial dysfunction and three of inflammation/oxidative stress. A five-level classification tree incorporating four of the eight metabolites predicted GDM with an unweighted accuracy of 89%. The model derived from early pregnancy urine also had a high predictive accuracy (85.9%).</p><p><strong>Conclusion: </strong>The late pregnancy urine metabolites independently linked to GDM were markers for diminished insulin sensitivity and glucose-stimulated insulin release. The high predictive accuracy of the models in both early and late pregnancy in this cohort supports the notion that a urinary metabolite phenotype may separate GDM vs CON across both early and late gestation. A large validation study should be conducted to affirm the accuracy of this noninvasive and time-efficient technology in identifying GDM.</p>","PeriodicalId":18506,"journal":{"name":"Metabolomics","volume":"21 5","pages":"140"},"PeriodicalIF":3.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12474728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145149854","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}
引用次数: 0
Early changes in urine 1H-NMR metabolomics profile predict cadet's performance gains after 5 weeks of military training. 尿液1H-NMR代谢组学的早期变化预测了学员在5周军事训练后的表现提高。
IF 3.3 3区 医学
Metabolomics Pub Date : 2025-09-26 DOI: 10.1007/s11306-025-02348-7
Diego F Salgueiro, Warley Barbosa, Tiago Vieira, Pedro Balikian, Orival Júnior, Tiago R Figueira
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