Results 91 to 100 of about 393,797 (377)

Metabolite discovery through global annotation of untargeted metabolomics data

Nature Methods, 2021
Liquid chromatography–high-resolution mass spectrometry (LC-MS)-based metabolomics aims to identify and quantify all metabolites, but most LC-MS peaks remain unidentified.
Li Chen, Wenyun Lu, Lin Wang, Xi Xing, Ziyang Chen, Xin Teng, Xianfeng Zeng, A. D. Muscarella, Yihui Shen, Alexis Cowan, Melanie R. McReynolds, Brandon J. Kennedy, Ashley M. Lato, S. Campagna, Mona Singh, J. Rabinowitz   +15 more
semanticscholar   +1 more source

Enhanced Characterization of Drug Metabolism and the Influence of the Intestinal Microbiome: A Pharmacokinetic, Microbiome, and Untargeted Metabolomics Study. [PDF]

, 2020
Determining factors that contribute to interindividual and intra-individual variability in pharmacokinetics (PKs) and drug metabolism is essential for the optimal use of drugs in humans.
Alhaja, Maher, Dorrestein, Pieter C, Jarmusch, Alan K, Knight, Rob, Liyanage, Marlon, Ma, Joseph D, Momper, Jeremiah D, Tsunoda, Shirley M, Vrbanac, Alison   +8 more
core   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

Chronic sucralose consumption induces elevation of serum insulin in young healthy adults: a randomized, double blind, controlled trial

Nutrition Journal, 2020
Background Non-nutritive sweeteners (NNS) are widely consumed by humans due to their apparent innocuity, especially sucralose. However, several studies link sucralose consumption to weight gain and metabolic derangements, although data are still ...
Nallely Bueno-Hernández, Marcela Esquivel-Velázquez, Raúl Alcántara-Suárez, Angélica Y. Gómez-Arauz, Aranza J. Espinosa-Flores, Karen L. de León-Barrera, Viridiana M. Mendoza-Martínez, Gabriela A. Sánchez Medina, Mireya León-Hernández, Alejandra Ruiz-Barranco, Galileo Escobedo, Guillermo Meléndez   +11 more
doaj   +1 more source

Plant metabolomics: a new strategy and tool for quality evaluation of Chinese medicinal materials

Chinese Medicine, 2022
The present quality control method of Chinese medicinal materials (CMM) has obvious deficiency, which cannot be compatible with the multi-target and multi-component characteristics and production process of CMM.
Qi Xiao, Xinlu Mu, Jiushi Liu, Bin Li, Haitao Liu, Ben-gang Zhang, P. Xiao   +6 more
semanticscholar   +1 more source

Metabolomics for the masses: The future of metabolomics in a personalized world [PDF]

European Journal of Molecular & Clinical Medicine, 2017
Current clinical practices focus on a small number of biochemical directly related to the pathophysiology with patients and thus only describe a very limited metabolome of a patient and fail to consider the interations of these small molecules.
Trivedi, Drupad, Hollywood, Katherine, Goodacre, Royston   +2 more
openaire   +3 more sources

Plasma lipidomic and metabolomic profiles in high‐grade glioma patients before and after 72‐h presurgery water‐only fasting

Molecular Oncology, EarlyView.
Presurgery 72‐h fasting in GB patients leads to adaptations of plasma lipids and polar metabolites. Fasting reduces lysophosphatidylcholines and increases free fatty acids, shifts triglycerides toward long‐chain TGs and increases branched‐chain amino acids, alpha aminobutyric acid, and uric acid.
Iris Divé, Lisa Hahnefeld, Katharina J. Wenger, Donat Kögel, Joachim Steinbach, Gerd Geisslinger, Michael W. Ronellenfitsch, Irmgard Tegeder   +7 more
wiley   +1 more source

TraVis Pies: A Guide for Stable Isotope Metabolomics Interpretation Using an Intuitive Visualization

Metabolites, 2022
Tracer metabolomics is a powerful technology for the biomedical community to study and understand disease-inflicted metabolic mechanisms. However, the interpretation of tracer metabolomics results is highly technical, as the metabolites’ abundances ...
Sam De Craemer, Karen Driesen, Bart Ghesquière   +2 more
doaj   +1 more source

Making open data work for plant scientists [PDF]

, 2013
Despite the clear demand for open data sharing, its implementation within plant science is still limited. This is, at least in part, because open data-sharing raises several unanswered questions and challenges to current research practices.
Alsheikh-Ali, Ball, Barrett, Bastow, Baxter, Brazma, Breeze, Brenchley, Charis Cook, Fernie, Hickman, International Arabidopsis Informatics Consortium, International Arabidopsis Informatics Consortium, Jonathan Moore, Leonelli, Nicholas Smirnoff, Rogers, Royal Society, Rustici, Ruth Bastow, Sabina Leonelli, The International Barley Genome Sequencing Consortium, Windram, Winter, Zimmermann   +24 more
core   +1 more source

Deep metabolome: Applications of deep learning in metabolomics

Computational and Structural Biotechnology Journal, 2020
In the past few years, deep learning has been successfully applied to various omics data. However, the applications of deep learning in metabolomics are still relatively low compared to others omics. Currently, data pre-processing using convolutional neural network architecture appears to benefit the most from deep learning.
Johannes F. Fahrmann, Kwanjeera Wanichthanarak, Sakda Khoomrung, Patcha Poungsombat, Yotsawat Pomyen, Dmitry Grapov   +5 more
openaire   +4 more sources