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Journal articles on the topic 'Metabolomic analyses'

Author: Grafiati

Published: 25 June 2022

Last updated: 31 July 2025

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1

Yu, Ji-Woo, Min-Ho Song, Ji-Ho Lee, et al. "Urinary Metabolomic Differentiation of Infants Fed on Human Breastmilk and Formulated Milk." Metabolites 14, no. 2 (2024): 128. http://dx.doi.org/10.3390/metabo14020128.

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Human breastmilk is an invaluable nutritional and pharmacological resource with a highly diverse metabolite profile, which can directly affect the metabolism of infants. Application of metabolomics can discriminate the complex relationship between such nutrients and infant health. As the most common biological fluid in metabolomic study, infant urinary metabolomics may provide the physiological impacts of different nutritional resources, namely human breastmilk and formulated milk. In this study, we aimed to identify possible differences in the urine metabolome of 30 infants (1–14 days after b

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Nakhod, Valeriya I., Tatiana V. Butkova, Kristina A. Malsagova, et al. "Sample Preparation for Metabolomic Analysis in Exercise Physiology." Biomolecules 14, no. 12 (2024): 1561. https://doi.org/10.3390/biom14121561.

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Metabolomics investigates final and intermediate metabolic products in cells. Assessment of the human metabolome relies principally on the analysis of blood, urine, saliva, sweat, and feces. Tissue biopsy is employed less frequently. Understanding the metabolite composition of biosamples from athletes can significantly improve our knowledge of molecular processes associated with the efficiency of training and recovery. Such knowledge may also lead to new management opportunities. Successful execution of metabolomic studies requires simultaneous qualitative and quantitative analyses of numerous

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Szczerbinski, Lukasz, Gladys Wojciechowska, Adam Olichwier, et al. "Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity." Nutrients 14, no. 1 (2022): 214. http://dx.doi.org/10.3390/nu14010214.

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Obesity rates among children are growing rapidly worldwide, placing massive pressure on healthcare systems. Untargeted metabolomics can expand our understanding of the pathogenesis of obesity and elucidate mechanisms related to its symptoms. However, the metabolic signatures of obesity in children have not been thoroughly investigated. Herein, we explored metabolites associated with obesity development in childhood. Untargeted metabolomic profiling was performed on fasting serum samples from 27 obese Caucasian children and adolescents and 15 sex- and age-matched normal-weight children. Three m

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Sebastiani, Paola, and Nalini Raghavachari. "METABOLOMICS OF LONGEVITY AND LIFESPAN." Innovation in Aging 7, Supplement_1 (2023): 631. http://dx.doi.org/10.1093/geroni/igad104.2056.

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Abstract Serum metabolomics has been an important source of biomarkers of aging and longevity for years. This symposium will bring together investigators from large studies of human longevity to provide an overview of recent discoveries on serum metabolomics of aging and extreme human longevity, their connections to genetic variations, and highlight the challenges of correlating metabolomic profiles of aging in human studies and across multiple species. Dr. Sebastiani will describe results from analyses of serum metabolomics of participants enrolled in the Long Life Family Study, highlight sim

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Qi, Jinwei, Kang Li, Yunxia Shi, et al. "Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits." Metabolites 11, no. 3 (2021): 164. http://dx.doi.org/10.3390/metabo11030164.

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Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a

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Kim, Hyun Woo. "Metabolomic Approaches to Investigate the Effect of Metformin: An Overview." International Journal of Molecular Sciences 22, no. 19 (2021): 10275. http://dx.doi.org/10.3390/ijms221910275.

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Metformin is the first-line antidiabetic drug that is widely used in the treatment of type 2 diabetes mellitus (T2DM). Even though the various therapeutic potential of metformin treatment has been reported, as well as the improvement of insulin sensitivity and glucose homeostasis, the mechanisms underlying those benefits are still not fully understood. In order to explain the beneficial effects on metformin treatment, various metabolomics analyses have been applied to investigate the metabolic alterations in response to metformin treatment, and significant systemic metabolome changes were obse

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Li, Jie, Huan Liu, Panpan Yang, Feng Zhu, Fei Shen, and Geyu Liang. "Identifying Aberrant 1CM-Related Pathways by Multi-Omics Analysis and Validating Tumor Inhibitory Effect of One-Carbon Donor Betaine in Gastric Cancer." International Journal of Molecular Sciences 26, no. 8 (2025): 3841. https://doi.org/10.3390/ijms26083841.

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Metabolic reprogramming, a well-established hallmark of gastric carcinogenesis, has been implicated in driving tumor progression. Nevertheless, the precise mechanisms through which these metabolic alterations orchestrate gastric cancer (GC) pathogenesis remain incompletely elucidated. We conducted metabolomic analyses of plasma samples obtained from 334 patients with GC and healthy individuals to identify differential metabolites and metabolic pathways. Transcriptome sequencing was conducted on six pairs of tissues, and a joint analysis of the transcriptome and metabolome was performed. Single

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Patterson, Jeffrey, Xiaojian Shi, William Bresette, et al. "A Metabolomic Analysis of the Sex-Dependent Hispanic Paradox." Metabolites 11, no. 8 (2021): 552. http://dx.doi.org/10.3390/metabo11080552.

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In Mexican Americans, metabolic conditions, such as obesity and type 2 diabetes (T2DM), are not necessarily associated with an increase in mortality; this is the so-called Hispanic paradox. In this cross-sectional analysis, we used a metabolomic analysis to look at the mechanisms behind the Hispanic paradox. To do this, we examined dietary intake and body mass index (BMI; kg/m2) in men and women and their effects on serum metabolomic fingerprints in 70 Mexican Americans (26 men, 44 women). Although having different BMI values, the participants had many similar anthropometric and biochemical pa

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Kelly, Patricia E., H. Jene Ng, Gillian Farrell, et al. "An Optimised Monophasic Faecal Extraction Method for LC-MS Analysis and Its Application in Gastrointestinal Disease." Metabolites 12, no. 11 (2022): 1110. http://dx.doi.org/10.3390/metabo12111110.

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Liquid chromatography coupled with mass spectrometry (LC-MS) metabolomic approaches are widely used to investigate underlying pathogenesis of gastrointestinal disease and mechanism of action of treatments. However, there is an unmet requirement to assess faecal metabolite extraction methods for large-scale metabolomics studies. Current methods often rely on biphasic extractions using harmful halogenated solvents, making automation and large-scale studies challenging. The present study reports an optimised monophasic faecal extraction protocol that is suitable for untargeted and targeted LC-MS

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Kreuzer, Kathrin, Alexandra Reiter, Anna Maria Birkl-Töglhofer, et al. "The PROVIT Study—Effects of Multispecies Probiotic Add-on Treatment on Metabolomics in Major Depressive Disorder—A Randomized, Placebo-Controlled Trial." Metabolites 12, no. 8 (2022): 770. http://dx.doi.org/10.3390/metabo12080770.

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The gut–brain axis plays a role in major depressive disorder (MDD). Gut-bacterial metabolites are suspected to reduce low-grade inflammation and influence brain function. Nevertheless, randomized, placebo-controlled probiotic intervention studies investigating metabolomic changes in patients with MDD are scarce. The PROVIT study (registered at clinicaltrials.com NCT03300440) aims to close this scientific gap. PROVIT was conducted as a randomized, single-center, double-blind, placebo-controlled multispecies probiotic intervention study in individuals with MDD (n = 57). In addition to clinical a

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Billet, Kévin, Sébastien Salvador-Blanes, Thomas Dugé De Bernonville, et al. "Terroir Influence on Polyphenol Metabolism from Grape Canes: A Spatial Metabolomic Study at Parcel Scale." Molecules 28, no. 11 (2023): 4555. http://dx.doi.org/10.3390/molecules28114555.

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The composition of bioactive polyphenols from grape canes, an important viticultural byproduct, was shown to be varietal-dependent; however, the influence of soil-related terroir factors remains unexplored. Using spatial metabolomics and correlation-based networks, we investigated how continuous changes in soil features and topography may impact the polyphenol composition in grape canes. Soil properties, topography, and grape cane extracts were analyzed at georeferenced points over 3 consecutive years, followed by UPLC-DAD-MS-based metabolomic analysis targeting 42 metabolites. Principal compo

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Rosolanka, Robert, Peter Liptak, Eva Baranovicova, et al. "Changes in the Urine Metabolomic Profile in Patients Recovering from Severe COVID-19." Metabolites 13, no. 3 (2023): 364. http://dx.doi.org/10.3390/metabo13030364.

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Metabolomics is a relatively new research area that focuses mostly on the profiling of selected molecules and metabolites within the organism. A SARS-CoV-2 infection itself can lead to major disturbances in the metabolite profile of the infected individuals. The aim of this study was to analyze metabolomic changes in the urine of patients during the acute phase of COVID-19 and approximately one month after infection in the recovery period. We discuss the observed changes in relation to the alterations resulting from changes in the blood plasma metabolome, as described in our previous study. Th

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Delporte, Cédric, Nausicaa Noret, Cécile Vanhaverbeke, et al. "Does the Phytochemical Diversity of Wild Plants Like the Erythrophleum genus Correlate with Geographical Origin?" Molecules 26, no. 6 (2021): 1668. http://dx.doi.org/10.3390/molecules26061668.

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Secondary metabolites are essential for plant survival and reproduction. Wild undomesticated and tropical plants are expected to harbor highly diverse metabolomes. We investigated the metabolomic diversity of two morphologically similar trees of tropical Africa, Erythrophleum suaveolens and E. ivorense, known for particular secondary metabolites named the cassaine-type diterpenoids. To assess how the metabolome varies between and within species, we sampled leaves from individuals of different geographic origins but grown from seeds in a common garden in Cameroon. Metabolites were analyzed usin

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Cheng, Leo L., Adam S. Feldman, Lindsey A. Vandergrift, et al. "Abstract 2222: Detecting clinically significant prostate cancers: Tissue metabolomics refines multiparametric MRI-ultrasound fusion prostate biopsy." Cancer Research 82, no. 12_Supplement (2022): 2222. http://dx.doi.org/10.1158/1538-7445.am2022-2222.

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Abstract The advent of prostate specific antigen (PSA) testing led to increased early prostate cancer (PCa) detection and has decreased PCa-related death. However, PSA is not cancer-specific, and the challenge persists of differentiating those PCa patients with indolent tumors from those requiring definitive therapy. Metabolomic profiles have the potential to capture molecular dynamics of disease and to reflect disease status before cellular manifestations become observable by histopathology. With clinical, multiparametric magnetic resonance imaging (mpMRI)-positive, fusion biopsy-targeted tis

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Loras, Alba, M. Carmen Martínez-Bisbal, Guillermo Quintás, Salvador Gil, Ramón Martínez-Máñez, and José Luis Ruiz-Cerdá. "Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer." Cancers 11, no. 7 (2019): 914. http://dx.doi.org/10.3390/cancers11070914.

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Patients with non-muscle invasive bladder cancer (NMIBC) undergo lifelong monitoring based on repeated cystoscopy and urinary cytology due to the high recurrence rate of this tumor. Nevertheless, these techniques have some drawbacks, namely, low accuracy in detection of low-grade tumors, omission of pre-neoplastic lesions and carcinomas in situ (CIS), invasiveness, and high costs. This work aims to identify a urinary metabolomic signature of recurrence by proton Nuclear Magnetic Resonance (1H NMR) spectroscopy for the follow-up of NMIBC patients. To do this, changes in the urinary metabolome b

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Byerley, Lauri O., Karyn M. Gallivan, Courtney J. Christopher, et al. "Gut Microbiome and Metabolome Variations in Self-Identified Muscle Builders Who Report Using Protein Supplements." Nutrients 14, no. 3 (2022): 533. http://dx.doi.org/10.3390/nu14030533.

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Muscle builders frequently consume protein supplements, but little is known about their effect on the gut microbiota. This study compared the gut microbiome and metabolome of self-identified muscle builders who did or did not report consuming a protein supplement. Twenty-two participants (14 males and 8 females) consumed a protein supplement (PS), and seventeen participants (12 males and 5 females) did not (No PS). Participants provided a fecal sample and completed a 24-h food recall (ASA24). The PS group consumed significantly more protein (118 ± 12 g No PS vs. 169 ± 18 g PS, p = 0.02). Fecal

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Mok, Jeong-Hun, Minjoong Joo, Van-An Duong, et al. "Proteomic and Metabolomic Analyses of Maggots in Porcine Corpses for Post-Mortem Interval Estimation." Applied Sciences 11, no. 17 (2021): 7885. http://dx.doi.org/10.3390/app11177885.

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Post-mortem interval (PMI) estimation is a critical task in forensic science. In this study, we used maggots collected from pig carcasses and applied an integrated proteomics and metabolomics approach to determine potential candidate substances for the estimation of PMI. After methanol precipitation, the supernatant containing metabolites and the protein pellet were separated and subjected to metabolomic and proteomic analyses using liquid chromatography-tandem mass spectrometry (LC-MS/MS). MS/MS data were analyzed for identification and quantification using Proteome Discoverer and Compound Di

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Fitzpatrick, Garrett, Maryam Rahman, Timothy Garrett, and Jesse Kresak. "MNGI-11. HIGH-GRADE AND LOW-GRADE MENINGIOMAS HARBOR DIFFERING METABOLOMIC PROFILES." Neuro-Oncology 21, Supplement_6 (2019): vi141—vi142. http://dx.doi.org/10.1093/neuonc/noz175.593.

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Abstract BACKGROUND Meningiomas are the most common primary brain tumor in adults. While the majority of meningiomas are low-grade and effectively treated by resection alone, there is a subset of tumors that have a high incidence of recurrence, metastatic potential, and morbidity. Radiation has been employed with variable success for high-grade meningiomas. No chemotherapeutic approaches have proven effective against these tumors to date. There is a need for a better understanding of this tumor type in order to provide our patients with better treatment options. OBJECTIVE The purpose of this s

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Tasci, Erdal, Shreya Chappidi, Ying Zhuge, et al. "GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma." International Journal of Molecular Sciences 26, no. 9 (2025): 4339. https://doi.org/10.3390/ijms26094339.

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Glioblastoma (GBM) is a fatal brain cancer known for its rapid and aggressive growth, with some studies indicating that females may have better survival outcomes compared to males. While sex differences in GBM have been observed, the underlying biological mechanisms remain poorly understood. Feature selection can lead to the identification of discriminative key biomarkers by reducing dimensionality from high-dimensional medical datasets to improve machine learning model performance, explainability, and interpretability. Feature selection can uncover unique sex-specific biomarkers, determinants

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Merwin, Nishanth J., Walaa K. Mousa, Chris A. Dejong, et al. "DeepRiPP integrates multiomics data to automate discovery of novel ribosomally synthesized natural products." Proceedings of the National Academy of Sciences 117, no. 1 (2019): 371–80. http://dx.doi.org/10.1073/pnas.1901493116.

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Microbial natural products represent a rich resource of evolved chemistry that forms the basis for the majority of pharmacotherapeutics. Ribosomally synthesized and posttranslationally modified peptides (RiPPs) are a particularly interesting class of natural products noted for their unique mode of biosynthesis and biological activities. Analyses of sequenced microbial genomes have revealed an enormous number of biosynthetic loci encoding RiPPs but whose products remain cryptic. In parallel, analyses of bacterial metabolomes typically assign chemical structures to only a minority of detected me

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Xi, Dandan, Xiaofeng Li, Changwei Zhang, et al. "The Combined Analysis of Transcriptome and Metabolome Provides Insights into Purple Leaves in Eruca vesicaria subsp. sativa." Agronomy 12, no. 9 (2022): 2046. http://dx.doi.org/10.3390/agronomy12092046.

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Background: Arugula is an essential oil crop of cruciferous species worldwide and serves as a salad vegetable. Purple plant leaves provide nutrients benefiting human beings and are mainly attributed to high anthocyanins. In this study, we collected a purple arugula cultivar with purple leaves and a green arugula with green leaves. The genetic bases and mechanisms underlying purple leaf formation in arugula remain unclear. Therefore, we conducted integrative metabolomics and transcriptomics of two arugula cultivars with different leaf colors. Methods: To study the underlying mechanisms, transcr

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Dabbousy, Ranin, Mohamad Rima, Rabih Roufayel, et al. "Plant Metabolomics: The Future of Anticancer Drug Discovery." Pharmaceuticals 17, no. 10 (2024): 1307. http://dx.doi.org/10.3390/ph17101307.

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Drug development from medicinal plants constitutes an important strategy for finding natural anticancer therapies. While several plant secondary metabolites with potential antitumor activities have been identified, well-defined mechanisms of action remained uncovered. In fact, studies of medicinal plants have often focused on the genome, transcriptome, and proteome, dismissing the relevance of the metabolome for discovering effective plant-based drugs. Metabolomics has gained huge interest in cancer research as it facilitates the identification of potential anticancer metabolites and uncovers

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Patti, Gary J., Ralf Tautenhahn, Bryan R. Fonslow, et al. "Meta-analysis of global metabolomics and proteomics data to link alterations with phenotype." Spectroscopy 26, no. 3 (2011): 151–54. http://dx.doi.org/10.1155/2011/923017.

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Global metabolomics has emerged as a powerful tool to interrogate cellular biochemistry at the systems level by tracking alterations in the levels of small molecules. One approach to define cellular dynamics with respect to this dysregulation of small molecules has been to consider metabolic flux as a function of time. While flux measurements have proven effective for model organisms, acquiring multiple time points at appropriate temporal intervals for many sample types (e.g., clinical specimens) is challenging. As an alternative, meta-analysis provides another strategy for delineating metabol

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Anlar, Gulsen Guliz, Najeha Anwardeen, Sarah Al Ashmar, Shona Pedersen, Mohamed A. Elrayess, and Asad Zeidan. "Metabolomics Profiling of Stages of Coronary Artery Disease Progression." Metabolites 14, no. 6 (2024): 292. http://dx.doi.org/10.3390/metabo14060292.

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Coronary artery disease (CAD) and atherosclerosis pose significant global health challenges, with intricate molecular changes influencing disease progression. Hypercholesterolemia (HC), hypertension (HT), and diabetes are key contributors to CAD development. Metabolomics, with its comprehensive analysis of metabolites, offers a unique perspective on cardiovascular diseases. This study leveraged metabolomics profiling to investigate the progression of CAD, focusing on the interplay of hypercholesterolemia, hypertension, and diabetes. We performed a metabolomic analysis on 221 participants from

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He, Dongling, Shaocong Hu, Zhi Huang, et al. "Metabolomics analyses of serum metabolites perturbations associated with Naja atra bite." PLOS Neglected Tropical Diseases 17, no. 8 (2023): e0011507. http://dx.doi.org/10.1371/journal.pntd.0011507.

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Naja atra bite is one of the most common severe snakebites in emergency departments. Unfortunately, the pathophysiological changes caused by Naja atra bite are unclear due to the lack of good animal models. In this study, an animal model of Naja atra bite in Guangxi Bama miniature pigs was established by intramuscular injection at 2 mg/kg of Naja atra venom, and serum metabolites were systematically analyzed using untargeted metabolomic and targeted metabolomic approaches. Untargeted metabolomic analysis revealed that 5045 chromatographic peaks were obtained in ESI+ and 3871 chromatographic pe

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Salzer, Liesa, and Michael Witting. "Quo Vadis Caenorhabditis elegans Metabolomics—A Review of Current Methods and Applications to Explore Metabolism in the Nematode." Metabolites 11, no. 5 (2021): 284. http://dx.doi.org/10.3390/metabo11050284.

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Metabolomics and lipidomics recently gained interest in the model organism Caenorhabditis elegans (C. elegans). The fast development, easy cultivation and existing forward and reverse genetic tools make the small nematode an ideal organism for metabolic investigations in development, aging, different disease models, infection, or toxicology research. The conducted type of analysis is strongly depending on the biological question and requires different analytical approaches. Metabolomic analyses in C. elegans have been performed using nuclear magnetic resonance (NMR) spectroscopy, direct infusi

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De Moraes Salgado, Carla, Laís Rosa Viana, and Maria Cristina Cintra Gomes-Marcondes. "Placental, Foetal, and Maternal Serum Metabolomic Profiles in Pregnancy-Associated Cancer: Walker-256 Tumour Model in a Time-Course Analysis." International Journal of Molecular Sciences 24, no. 17 (2023): 13026. http://dx.doi.org/10.3390/ijms241713026.

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Cancer during pregnancy presents a delicate coexistence, imposing ethical and professional challenges on both the patient and medical team. In this study, we aimed to explore in a pre-clinical model the impact of tumour evolution in serum, placental and foetal metabolomics profiles during pregnancy in a time-course manner. Pregnant Wistar rats were distributed into two experimental groups: Control (C) and Walker-256 tumour-bearing (W). The rats were euthanised on three different gestational periods: at 12 days post-conception (dpc), at 16 dpc, and at 19 dpc. Serum, placenta and foetal metabolo

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El-Heliebi, Amin, Tadeja Urbanic-Purkart, Kariem Mahdy-Ali, et al. "EXTH-04. PATIENT-DERIVED CELLS FOR EX VIVO DRUG SCREENING STUDIES OF GLIOMAS." Neuro-Oncology 24, Supplement_7 (2022): vii209. http://dx.doi.org/10.1093/neuonc/noac209.803.

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Abstract BACKGROUND In precision oncology ex vivo drug screening systems have the potential to improve clinical outcomes. Traditionally, cancer drugs are tested on cancer cell line models, but these cannot represent an individual patient and are biologically too distinct. Drug screening systems usually rely on viability assays and correlations to genomic alterations. Beside genomic alterations, the cellular metabolism is significantly altered which may lead to drug resistance. Here we aim to establish a drug screening platform using tumor cells derived directly from the individual patient glia

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Bailleux, Caroline, David Chardin, Jocelyn Gal, et al. "Metabolomic Signatures of Scarff–Bloom–Richardson (SBR) Grade in Non-Metastatic Breast Cancer." Cancers 15, no. 7 (2023): 1941. http://dx.doi.org/10.3390/cancers15071941.

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Purpose: Identification of metabolomic biomarkers of high SBR grade in non-metastatic breast cancer. Methods: This retrospective bicentric metabolomic analysis included a training set (n = 51) and a validation set (n = 49) of breast cancer tumors, all classified as high-grade (grade III) or low-grade (grade I–II). Metabolomes of tissue samples were studied by liquid chromatography coupled with mass spectrometry. Results: A molecular signature of the top 12 metabolites was identified from a database of 602 frequently predicted metabolites. Partial least squares discriminant analyses showed that

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Liu, Yin Allison, Orwa Aboud, Lina A. Dahabiyeh, Orin Bloch, and Oliver Fiehn. "Metabolomic characterization of human glioblastomas and patient plasma: a pilot study." F1000Research 13 (September 19, 2024): 98. http://dx.doi.org/10.12688/f1000research.143642.5.

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Background Glioblastoma (GBM) is a clinically challenging primary brain tumor with poor survival outcome despite surgical resection and intensive chemoradiation. The metabolic heterogeneity of GBM can become biomarkers for treatment response, resistance, and outcome prediction. The aim of the study is to investigate metabolic distinctions between primary and recurrent GBM tissue and patient plasma to establish feasibility for metabolic profiling. Methods A single-center cohort study analyzed tissue and blood samples from 15 patients with GBM using untargeted metabolomic/lipidomic assays. Metab

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Liu, Yin Allison, Orwa Aboud, Lina A. Dahabiyeh, Orin Bloch, and Oliver Fiehn. "Metabolomic characterization of human glioblastomas and patient plasma: a pilot study." F1000Research 13 (June 25, 2024): 98. http://dx.doi.org/10.12688/f1000research.143642.2.

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Background Glioblastoma (GBM) is a clinically challenging primary brain tumor with poor survival outcome despite surgical resection and intensive chemoradiation. The metabolic heterogeneity of GBM can become biomarkers for treatment response, resistance, and outcome prediction. The aim of the study is to investigate metabolic distinctions between primary and recurrent GBM tissue and patient plasma to establish feasibility for metabolic profiling. Methods A single-center cohort study analyzed tissue and blood samples from 15 patients with GBM using untargeted metabolomic/lipidomic assays. Metab

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Liu, Yin Allison, Orwa Aboud, Lina A. Dahabiyeh, Orin Bloch, and Oliver Fiehn. "Metabolomic characterization of human glioblastomas and patient plasma: a pilot study." F1000Research 13 (July 23, 2024): 98. http://dx.doi.org/10.12688/f1000research.143642.3.

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Background Glioblastoma (GBM) is a clinically challenging primary brain tumor with poor survival outcome despite surgical resection and intensive chemoradiation. The metabolic heterogeneity of GBM can become biomarkers for treatment response, resistance, and outcome prediction. The aim of the study is to investigate metabolic distinctions between primary and recurrent GBM tissue and patient plasma to establish feasibility for metabolic profiling. Methods A single-center cohort study analyzed tissue and blood samples from 15 patients with GBM using untargeted metabolomic/lipidomic assays. Metab

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Liu, Yin Allison, Orwa Aboud, Lina A. Dahabiyeh, Orin Bloch, and Oliver Fiehn. "Metabolomic characterization of human glioblastomas and patient plasma: a pilot study." F1000Research 13 (August 30, 2024): 98. http://dx.doi.org/10.12688/f1000research.143642.4.

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Background Glioblastoma (GBM) is a clinically challenging primary brain tumor with poor survival outcome despite surgical resection and intensive chemoradiation. The metabolic heterogeneity of GBM can become biomarkers for treatment response, resistance, and outcome prediction. The aim of the study is to investigate metabolic distinctions between primary and recurrent GBM tissue and patient plasma to establish feasibility for metabolic profiling. Methods A single-center cohort study analyzed tissue and blood samples from 15 patients with GBM using untargeted metabolomic/lipidomic assays. Metab

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Liu, Yin Allison, Orwa Aboud, Lina A. Dahabiyeh, Orin Bloch, and Oliver Fiehn. "Metabolomic characterization of human glioblastomas and patient plasma: a pilot study." F1000Research 13 (February 16, 2024): 98. http://dx.doi.org/10.12688/f1000research.143642.1.

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Background Glioblastoma (GBM) is a clinically challenging primary brain tumor with poor survival outcome despite surgical resection and intensive chemoradiation. The metabolic heterogeneity of GBM can become biomarkers for treatment response, resistance, and outcome prediction. The aim of the study is to investigate metabolic distinctions between primary and recurrent GBM tissue and patient plasma to establish feasibility for metabolic profiling. Methods A single-center cohort study analyzed tissue and blood samples from 15 patients with GBM using untargeted metabolomic/lipidomic assays. Metab

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Iwamoto, Hitoshi, Masaaki Okihara, Isao Akashi, et al. "Metabolomic Profiling of Plasma, Urine, and Saliva of Kidney Transplantation Recipients." International Journal of Molecular Sciences 23, no. 22 (2022): 13938. http://dx.doi.org/10.3390/ijms232213938.

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Kidney biopsy is commonly used to diagnose kidney transplant dysfunction after transplantation. Therefore, the development of minimally invasive and quantitative methods to evaluate kidney function in transplant recipients is necessary. Here, we used capillary electrophoresis-mass spectrometry to analyze the biofluids collected from transplant recipients with impaired (Group I, n = 31) and stable (Group S, n = 19) kidney function and from donors (Group D, n = 9). Metabolomics analyses identified and quantified 97 metabolites in plasma, 133 metabolites in urine, and 108 metabolites in saliva. M

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Watanabe, Masahiro, Masamitsu Maekawa, Keitaro Miyoshi, et al. "Global and Targeted Metabolomics for Revealing Metabolomic Alteration in Niemann-Pick Disease Type C Model Cells." Metabolites 14, no. 10 (2024): 515. http://dx.doi.org/10.3390/metabo14100515.

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Background: Niemann-Pick disease type C (NPC) is an inherited disorder characterized by a functional deficiency of cholesterol transport proteins. However, the molecular mechanisms and pathophysiology of the disease remain unknown. Methods: In this study, we identified several metabolite characteristics of NPC that may fluctuate in a cellular model of the disease, using both global and targeted metabolomic analyses by liquid chromatography/tandem mass spectrometry (LC-MS/MS). Three cell lines, HepG2 cells (wild-type[WT]) and two NPC model HepG2 cell lines in which NPC1 was genetically ablated

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Botticelli, Andrea, Pamela Vernocchi, Federico Marini, et al. "Gut metabolomics profiling of non‑small cell lung cancer (NSCLC) patients under immunotherapy treatment." Journal of Translational Medicine 18 (February 3, 2020): 49. https://doi.org/10.1186/s12967-020-02231-0.

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<strong>Background:</strong> Despite the efficacy of immune checkpoint inhibitors (ICIs) only the 20–30% of treated patients present long term benefits. The metabolic changes occurring in the gut microbiota metabolome are herein proposed as a factor potentially influencing the response to immunotherapy. <strong>Methods:</strong> The metabolomic profiling of gut microbiota was characterized in 11 patients affected by non-small cell lung cancer (NSCLC) treated with nivolumab in second-line treatment with anti-PD-1 nivolumab. The metabolomics analyses were performed by G

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Solanki, Hiren, Manon Pierdet, Olivier P. Thomas, and Mayalen Zubia. "Insights into the Metabolome of the Cyanobacterium Leibleinia gracilis from the Lagoon of Tahiti and First Inspection of Its Variability." Metabolites 10, no. 5 (2020): 215. http://dx.doi.org/10.3390/metabo10050215.

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Cyanobacteria are known to produce a large diversity of specialized metabolites that can cause severe (eco)toxicological effects. In the lagoon of Tahiti, the benthic cyanobacterium Leibleinia gracilis is commonly found overgrowing the proliferative macroalga Turbinaria ornata or dead branching corals. The specialized metabolome of the cyanobacterium L. gracilis was therefore investigated together with its variability on both substrates and changes in environmental parameters. For the study of the metabolome variability, replicates of L. gracilis were collected in the same location of the lago

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Suissa, Laurent, Jean-Marie Guigonis, Fanny Graslin, et al. "Combined Omic Analyzes of Cerebral Thrombi: A New Molecular Approach to Identify Cardioembolic Stroke Origin." Stroke 52, no. 9 (2021): 2892–901. http://dx.doi.org/10.1161/strokeaha.120.032129.

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Background and Purpose: The diagnosis of cardioembolic stroke can be challenging for patient management in secondary stroke prevention, particularly in the case of covert paroxysmal atrial fibrillation. The molecular composition of a cerebral thrombus is related to its origin. Therefore, proteomic and metabolomic analyses of the retrieved thrombotic material should allow the identification of biomarkers or signatures to improve the etiological diagnosis of stroke. Methods: In this pilot study, the proteome and metabolome of cerebral thrombi from atherothrombotic and cardioembolic stroke patien

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Cao, M., L. Johnson, R. Johnson, A. Koulman, G. A. Lane, and S. Rasmussen. "joint analyses of transcriptomic and metabolomic data to probe ryegrass-endophyte symbiosis." NZGA: Research and Practice Series 13 (January 1, 2007): 195–98. http://dx.doi.org/10.33584/rps.13.2006.3051.

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Fungal endophytes (Neotyphodium lolii) in perennial ryegrass (Lolium perenne) produce a range of bioactive alkaloids which are implicated in both toxicity to grazing animals and resistance to insects. The understanding of regulatory and biochemical mechanisms of the symbiosis will provide clues for the genetic manipulation of beneficial alkaloid production. This paper presents approaches to analyse data from high-throughput microarray experiments and targeted metabolomic analyses. Combined with bioinformatics analyses, potential genes were found associated with the accumulation of alkaloids an

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Stockard, Bradley, Timothy Garrett, Soheil Meshinchi, and Jatinder K. Lamba. "Metabolomic Profiling Defines Distinct Metabolic Signature Associated with FLT3/ITD AML." Blood 128, no. 22 (2016): 1692. http://dx.doi.org/10.1182/blood.v128.22.1692.1692.

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Abstract AML is a hematological disorder resulting from proliferation and expansion of malignant myeloid cells. Clinical outcome for AML remains dismal despite intensive therapy in part due to the disease heterogeneity with various cytogenetic and molecular lesions. Fms-Like Tyrosine Kinase-3 (FLT3) is a receptor tyrosine kinase expressed hematopoietic stem/progenitor cells. Activating mutations of FLT3 gene due to internal tandem duplication of the juxtamembrane domain coding sequence (FLT3/ITD) causes autonomous cellular proliferations leading to disease progression. Metabolomic profiling ha

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Furukawa, Hiroshi, Shomi Oka, Kota Shimada, et al. "Serum Metabolomic Profiles of Rheumatoid Arthritis Patients With Acute-Onset Diffuse Interstitial Lung Disease." Biomarker Insights 14 (January 2019): 117727191987047. http://dx.doi.org/10.1177/1177271919870472.

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Objective: Acute-onset diffuse interstitial lung disease (AoDILD) includes acute exacerbation of interstitial lung disease (ILD), drug-induced ILD, and Pneumocystis pneumonia, and frequently occurs in patients with rheumatoid arthritis (RA). Since AoDILD causes a poor prognosis in RA, biomarkers for AoDILD were eagerly desired. Metabolomic analyses were extensively performed in cancer patients and successfully generated better diagnostic biomarkers. In the present study, serum metabolomic profiles of AoDILD in RA were investigated to generate better potential metabolomic biomarkers. Methods: S

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Zhai, Yaying, Fan Xia, Luting Shi, et al. "Early Pregnancy Markers in the Serum of Ewes Identified via Proteomic and Metabolomic Analyses." International Journal of Molecular Sciences 24, no. 18 (2023): 14054. http://dx.doi.org/10.3390/ijms241814054.

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The diagnosis of ewes’ pregnancy status at an early stage is an efficient way to enhance the reproductive output of sheep and allow producers to optimize production and management. The techniques of proteomics and metabolomics have been widely used to detect regulatory factors in various physiological processes of animals. The aim of this study is to explore the differential metabolites and proteins in the serum of pregnant and non-pregnant ewes by proteomics and metabolomics. The serum of ewes at 21, 28 and 33 days after artificial insemination (AI) were collected. The pregnancy stratus of th

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Bremer, Parker Ladd, and Oliver Fiehn. "SMetaS: A Sample Metadata Standardizer for Metabolomics." Metabolites 13, no. 8 (2023): 941. http://dx.doi.org/10.3390/metabo13080941.

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Metabolomics has advanced to an extent where it is desired to standardize and compare data across individual studies. While past work in standardization has focused on data acquisition, data processing, and data storage aspects, metabolomics databases are useless without ontology-based descriptions of biological samples and study designs. We introduce here a user-centric tool to automatically standardize sample metadata. Using such a tool in frontends for metabolomic databases will dramatically increase the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of data, speci

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Aliakbari, Amir, Alireza Ehsani, Rasoul Vaez Torshizi, et al. "Genetic variance of metabolomic features and their relationship with body weight and body weight gain in Holstein cattle1." Journal of Animal Science 97, no. 9 (2019): 3832–44. http://dx.doi.org/10.1093/jas/skz228.

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Abstract In recent years, metabolomics has been used to clarify the biology underlying biological samples. In the field of animal breeding, investigating the magnitude of genetic control on the metabolomic profiles of animals and their relationships with quantitative traits adds valuable information to animal improvement schemes. In this study, we analyzed metabolomic features (MFs) extracted from the metabolomic profiles of 843 male Holstein calves. The metabolomic profiles were obtained using nuclear magnetic resonance (NMR) spectroscopy. We investigated 2 alternative methods to control for

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Philbin, Casey S., Matthew Paulsen, and Lora A. Richards. "Opposing Effects of Ceanothus velutinus Phytochemistry on Herbivore Communities at Multiple Scales." Metabolites 11, no. 6 (2021): 361. http://dx.doi.org/10.3390/metabo11060361.

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Identifying the interactions of functional, biotic, and abiotic factors that define plant–insect communities has long been a goal of community ecologists. Metabolomics approaches facilitate a broader understanding of how phytochemistry mediates the functional interactions among ecological factors. Ceanothus velutinus communities are a relatively unstudied system for investigating chemically mediated interactions. Ceanothus are nitrogen-fixing, fire-adapted plants that establish early post-fire, and produce antimicrobial cyclic peptides, linear peptides, and flavonoids. This study takes a metab

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Jiang, Baoping, Liang Le, Wenting Wan, et al. "The Flower Tea Coreopsis tinctoria Increases Insulin Sensitivity and Regulates Hepatic Metabolism in Rats Fed a High-Fat Diet." Endocrinology 156, no. 6 (2015): 2006–18. http://dx.doi.org/10.1210/en.2015-1015.

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AbstractAn infusion of Coreopsis tinctoria (CT) flowering tops is traditionally used in Portugal to control hyperglycemia; however, the effects of CT protection against high-fat diet (HFD)-induced hepatic insulin resistance have not been systematically studied and the precise mechanism of action is not clear. The metabolomic profiles of insulin-resistant rats fed a HFD and a CT-supplemented diet (HFD supplemented with CT drinking) for 8 weeks were investigated. Serum samples for clinical biochemistry and liver samples for histopathology and liquid chromatography-mass spectrometry-based metabol

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Tee, Khim Boon, Luqman Ibrahim, Najihah Mohd Hashim, Mohd Zuwairi Saiman, Zaril Harza Zakaria, and Hasniza Zaman Huri. "Pharmacokinetics and Metabolomic Profiling of Metformin and Andrographis paniculata: A Protocol for a Crossover Randomised Controlled Trial." Journal of Clinical Medicine 11, no. 14 (2022): 3931. http://dx.doi.org/10.3390/jcm11143931.

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This protocol aims to profile the pharmacokinetics of metformin and Andrographis paniculata (AP) and continue with untargeted pharmacometabolomics analysis on pre-dose and post-dose samples to characterise the metabolomics profiling associated with the human metabolic pathways. This is a single-centre, open-labelled, three periods, crossover, randomised-controlled, single-dose oral administration pharmacokinetics and metabolomics trial of metformin 1000 mg (n = 18), AP 1000 mg (n = 18), or AP 2000 mg (n = 18) in healthy volunteers under the fasting condition. Subjects will be screened accordin

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Antikainen, Anni A., Stefan Mutter, Valma Harjutsalo, Lena M. Thorn, Per-Henrik Groop, and Niina Sandholm. "Urinary metabolomics provide insights into coronary artery disease in individuals with type 1 diabetes." Cardiovascular Diabetology 23, no. 1 (2024). http://dx.doi.org/10.1186/s12933-024-02512-8.

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Abstract Background Type 1 diabetes increases the risk of coronary artery disease (CAD). High-throughput metabolomics may be utilized to identify metabolites associated with disease, thus, providing insight into disease pathophysiology, and serving as predictive markers in clinical practice. Urine is less tightly regulated than blood, and therefore, may enable earlier discovery of disease-associated markers. We studied urine metabolomics in relation to incident CAD in individuals with type 1 diabetes. Methods We prospectively studied CAD in 2501 adults with type 1 diabetes from the Finnish Dia

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Xu, Keman, Fatma Saaoud, Ying Shao, et al. "Abstract 355: Cross-omics Identified That Early Hyperlipidemia Increased S-adenosylhomocysteine-hypomethylation And 24 Proinflammatory Metabolites May Synergize In Trained Immunity." Arteriosclerosis, Thrombosis, and Vascular Biology 43, Suppl_1 (2023). http://dx.doi.org/10.1161/atvb.43.suppl_1.355.

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Introduction: Metabolomics is the profiling of all small molecules participating in the metabolism of a cell, tissue, or organism. However, multiple-tissue metabolomics has never been reported in early hyperlipidemia. This study aims to investigate the tissue metabolomic mechanisms of how hyperlipidemia impacts the early stage of atherogenesis. Hypothesis: We hypothesize that early hyperlipidemia may induce atherogenesis by upregulating trained immunity (innate immune memory)-enhancing proinflammatory tissue metabolomes. Methods: Metabolome analyses were performed in four tissues (heart, aorta

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