Literature DB >> 32634308

Comprehensive Targeted Metabolomic Assay for Urine Analysis.

Jiamin Zheng, Lun Zhang, Mathew Johnson, Rupasri Mandal, David S Wishart.   

Abstract

Among all the human biological fluids used for disease biomarker discovery or clinical chemistry, urine stands out. It can be collected easily and noninvasively, it is readily available in large volumes, it is typically free from protein contamination, and it is chemically complex-reflecting a wide range of physiological states and functions. However, the comprehensive metabolomic analysis of urine has been somewhat less studied compared to blood. Indeed, most published metabolomic assays are specifically optimized for serum or plasma. In an effort to improve this situation, we have developed a comprehensive, quantitative MS-based assay for urine analysis. The assay robustly detects and quantifies 142 urinary metabolites including 28 amino acids and derivatives, 17 organic acids, 22 biogenic amines and derivatives, 40 acylcarnitines, 34 lipids, and glucose/hexose, among which 67 metabolites are absolutely quantified and 75 metabolites are semiquantified. All the analysis methods in this assay are based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) using both positive and negative-mode multiple reaction monitoring (MRM). The recovery rates of spiked urine samples at three different concentration levels, that is, low, medium and high, are in the range of 80% to 120% with satisfactory precision values of less than 20%. This targeted metabolomic assay has been successfully applied to the analysis of large numbers of human urine samples, with results closely matching those reported in the literature as well as those obtained from orthogonal analysis via NMR spectroscopy. Moreover, the assay was specifically developed in a 96-well plate format, which enables automated, high-throughput sample analysis. The assay has already been used to analyze more than 1800 urine samples in our laboratory since early 2019.

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Year:  2020        PMID: 32634308     DOI: 10.1021/acs.analchem.0c01682

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  10 in total

Review 1.  LC-MS metabolomics of urine reveals distinct profiles for non-muscle-invasive and muscle-invasive bladder cancer.

Authors:  Julia Oto; Álvaro Fernández-Pardo; Marta Roca; Emma Plana; Fernando Cana; Raquel Herranz; Javier Pérez-Ardavín; César David Vera-Donoso; Manuel Martínez-Sarmiento; Pilar Medina
Journal:  World J Urol       Date:  2022-09-04       Impact factor: 3.661

2.  Metabolomic Analysis of Key Regulatory Metabolites in the Urine of Flavivirus-Infected Mice.

Authors:  Xiaoyan Zheng; Ran Wang
Journal:  J Trop Med       Date:  2022-06-01

3.  A rapid LC-MS/MS assay for detection and monitoring of underivatized branched-chain amino acids in maple syrup urine disease.

Authors:  Hamed Piri-Moghadam; Alan Miller; Debra Pronger; Faye Vicente; Joel Charrow; Shannon Haymond; David C Lin
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2022-04-30

4.  High-Precision Automated Workflow for Urinary Untargeted Metabolomic Epidemiology.

Authors:  Isabel Meister; Pei Zhang; Anirban Sinha; C Magnus Sköld; Åsa M Wheelock; Takashi Izumi; Romanas Chaleckis; Craig E Wheelock
Journal:  Anal Chem       Date:  2021-03-19       Impact factor: 6.986

5.  Combined Plasma and Urinary Metabolomics Uncover Metabolic Perturbations Associated with Severe Respiratory Syncytial Viral Infection and Future Development of Asthma in Infant Patients.

Authors:  Shao Thing Teoh; Mara L Leimanis-Laurens; Sarah S Comstock; John W Winters; Nikita L Vandenbosch; Jeremy W Prokop; André S Bachmann; Sophia Y Lunt; Surender Rajasekaran
Journal:  Metabolites       Date:  2022-02-14

6.  Urinary Metabolomic Profile of Neonates Born to Women with Gestational Diabetes Mellitus.

Authors:  Ana Sofía Herrera-Van Oostdam; Mariana Salgado-Bustamante; Victoria Lima-Rogel; Juan José Oropeza-Valdez; Jesús Adrián López; Iván Daniel Román Rodríguez; Juan Carlos Toro-Ortiz; David Alejandro Herrera-Van Oostdam; Yamilé López-Hernández; Joel Monárrez-Espino
Journal:  Metabolites       Date:  2021-10-22

Review 7.  A Scoping Review: Urinary Markers of Metabolic Maturation in Preterm Infants and Future Interventions to Improve Growth.

Authors:  Luise V Marino; Simone Paulson; James J Ashton; Charlotte Weeks; Aneurin Young; John V Pappachan; Jonathan Swann; Mark J Johnson; Robert Mark Beattie
Journal:  Nutrients       Date:  2022-09-23       Impact factor: 6.706

8.  A Comprehensive Targeted Metabolomics Assay for Crop Plant Sample Analysis.

Authors:  Jiamin Zheng; Mathew Johnson; Rupasri Mandal; David S Wishart
Journal:  Metabolites       Date:  2021-05-11

9.  Targeted metabolomics identifies high performing diagnostic and prognostic biomarkers for COVID-19.

Authors:  Yamilé López-Hernández; Joel Monárrez-Espino; Ana-Sofía Herrera-van Oostdam; Julio Enrique Castañeda Delgado; Lun Zhang; Jiamin Zheng; Juan José Oropeza Valdez; Rupasri Mandal; Fátima de Lourdes Ochoa González; Juan Carlos Borrego Moreno; Flor M Trejo-Medinilla; Jesús Adrián López; José Antonio Enciso Moreno; David S Wishart
Journal:  Sci Rep       Date:  2021-07-19       Impact factor: 4.379

10.  Kynurenine and Hemoglobin as Sex-Specific Variables in COVID-19 Patients: A Machine Learning and Genetic Algorithms Approach.

Authors:  Jose M Celaya-Padilla; Karen E Villagrana-Bañuelos; Juan José Oropeza-Valdez; Joel Monárrez-Espino; Julio E Castañeda-Delgado; Ana Sofía Herrera-Van Oostdam; Julio César Fernández-Ruiz; Fátima Ochoa-González; Juan Carlos Borrego; Jose Antonio Enciso-Moreno; Jesús Adrián López; Yamilé López-Hernández; Carlos E Galván-Tejada
Journal:  Diagnostics (Basel)       Date:  2021-11-25
  10 in total

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