Results 21 to 30 of about 7,670,364 (343)

Application of UPLC-MS/MS-Based Widely Targeted Metabolomics Reveals Metabolic Reprogramming During Post-Harvest Storage of <i>Ehretia macrophylla</i> Fruits. [PDF]

Foods
Geng X, Luo M, Huang F, Qi S, Xie L, Li M, Chen M, Xu C, Cheng S.   +8 more
europepmc   +2 more sources

Non-targeted metabolomics and associations with per- and polyfluoroalkyl substances (PFAS) exposure in humans: A scoping review

Environment International, 2022
Objective To summarize the application of non-targeted metabolomics in epidemiological studies that assessed metabolite and metabolic pathway alterations associated with per- and polyfluoroalkyl substances (PFAS) exposure.
Peng-Fei Guo, Tristan Furnary, V. Vasiliou, Qi Yan, Kate Nyhan, Dean P. Jones, C. Johnson, Z. Liew   +7 more
semanticscholar   +1 more source

GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies. [PDF]

PLoS Computational Biology, 2018
Left-censored missing values commonly exist in targeted metabolomics datasets and can be considered as missing not at random (MNAR). Improper data processing procedures for missing values will cause adverse impacts on subsequent statistical analyses ...
Runmin Wei, Jingye Wang, Erik Jia, Tianlu Chen, Yan Ni, Wei Jia   +5 more
doaj   +1 more source

Widely Targeted Metabolomics Reveals Metabolite Diversity in Jalapeño and Serrano Chile Peppers (Capsicum annuum L.)

Metabolites, 2023
Chile peppers (Capsicum annuum L.) are good sources of vitamins and minerals that can be included in the diet to mitigate nutritional deficiencies. Metabolomics examines the metabolites involved in biological pathways to understand the genes related to ...
Dennis N. Lozada, Sahithi Reddy Pulicherla, F. Holguin   +2 more
semanticscholar   +1 more source

The Hitchhiker’s Guide to Statistical Analysis of Feature-based Molecular Networks from Non-Targeted Metabolomics Data [PDF]

, 2023
Feature-Based Molecular Networking (FBMN) is a popular analysis approach for LC-MS/MS-based non-targeted metabolomics data. While processing LC-MS/MS data through FBMN is fairly streamlined, downstream data handling and statistical interrogation is often
Corinna, Brungs, Hannes, Link, Pieter C., Dorrestein, Allegra T., Aron, Justin JJ, van der Hooft, Francesco, Russo, Mingxun, Wang, Yasin, El Abiead, Kai, Dührkop, Thapanee, Pruksatrakul, Tomáš, Pluskal, Shane, Farrell, Robin, Schmid, Magdalena, Pöchhacker, Steffen, Heuckeroth, Lana G., Graves, Karoline, Steuer-Lodd, Marcelo, Navarro-Díaz, Shipei, Xing, Filip, Ottosson, Andres, Cumsille, Yunshu, Wang, Giovanni Andrea, Vitale, Martinus, de Kruijff, Daniel, Petras, Andrés M., Caraballo-Rodríguez, Christine, Beemelmanns, Paulo Wender, Portal Gomes, Marquis T., Yazzie, Eftychia E., Kontou, Anastasiia, Kostenko, Berenike C., Wagner, Nathan, Chan, Paolo, Stincone, Christoph, Mayer, Judith, Boldt, Jarmo-Charles, Kalinski, Martin, Hansen, Stilianos, Papadopoulos Lambidis, Jan, Stanstrup, Abzer K., Pakkir Shah, Christian, Geibel, Alexandros, Polyzois, Mirte CM., Kuijpers, Tito, Damiani, Simone, Zuffa, Sibgha, Tayyab, Madeleine, Ernst, Beatriz, Cámara, Axel, Walter, Marie R., Aggerbeck, Simon, Knoblauch, Tilman, Schramm, James, Elofson, Fernanda, de Oliveira, Kevin, Mildau, Carolina, González-Marín   +56 more
core   +2 more sources

Targeted metabolomics analysis of postoperative delirium

Scientific Reports, 2021
Postoperative delirium is the most common complication among older adults undergoing major surgery. The pathophysiology of delirium is poorly understood, and no blood-based, predictive markers are available.
Bridget A. Tripp, Simon T. Dillon, Min Yuan, John M. Asara, Sarinnapha M. Vasunilashorn, Tamara G. Fong, Eran D. Metzger, Sharon K. Inouye, Zhongcong Xie, Long H. Ngo, Edward R. Marcantonio, Towia A. Libermann, Hasan H. Otu   +12 more
doaj   +1 more source

Comparative analysis of bile metabolic profile in patients with biliary obstruction complicated by Clonorchis sinensis infection

Frontiers in Cellular and Infection Microbiology, 2023
BackgroundClonorchiasis is an important foodborne parasitic disease. However, eggs of Clonorchis sinensis (C. sinensis) cannot be detected in feces during biliary obstruction.
Xueli Zhang, Su Han, Su Han, Xu Jiang, Shanshan Duan, Yannan Gao, Jian Ding, Xiang Li, Beibei Sun, Xinyi Hu, Xiaoli Zhang, Weizhe Zhang   +11 more
doaj   +1 more source

Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis

Analytical Chemistry, 2023
Targeted metabolomics has been broadly used for metabolite measurement due to its good quantitative linearity and simple metabolite annotation workflow.
Zhikun Jia, Qiongju Qiu, Ruiping He, Tianyu Zhou, Li Chen   +4 more
semanticscholar   +1 more source

Comparative Lipidomics of Caenorhabditis elegans Metabolic Disease Models by SWATH Non-Targeted Tandem Mass Spectrometry

Metabolites, 2015
Tandem mass spectrometry (MS/MS) with Sequential Window Acquisition of all Theoretical (SWATH) mass spectra generates a comprehensive archive of lipid species within an extract for retrospective, quantitative MS/MS analysis.
Jeevan K. Prasain, Landon Wilson, Hieu D. Hoang, Ray Moore, Michael A. Miller   +4 more
doaj   +1 more source

LC-MS-Based Targeted Metabolomics for FACS-Purified Rare Cells

Analytical Chemistry, 2023
Metabolism plays a fundamental role in regulating cellular functions and fate decisions. Liquid chromatography-mass spectrometry (LC-MS)-based targeted metabolomic approaches provide high-resolution insights into the metabolic state of a cell.
Katharina Schönberger, Michaela Mitterer, Katharina M. Glaser, Manuel Stecher, Sebastian Hobitz, Dominik Schain-Zota, Konrad Schuldes, T. Lämmermann, Angelika S. Rambold, N. Cabezas-Wallscheid, Joerg M. Buescher   +10 more
semanticscholar   +1 more source