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Molecules
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Frontiers in Mass Spectrometry-Based Metabolomics Analysis
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Frontiers in Mass Spectrometry-Based Metabolomics Analysis

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 3085

Special Issue Editors

Dr. Jiangjiang Zhu

E-Mail Website
Guest Editor
Human Nutrition Program and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
Interests: development and application of mass spectrometry-based metabolomics; human microbial metabolic analysis for the understanding of human–microbe interaction; nutritional metabolomics studies; cancer metabolism studies
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Huiru Tang

E-Mail Website
Guest Editor
State Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Fudan University, Shanghai 201203, China
Interests: development of novel tools for metabolomics: nuclear magnetic resonance protocols; molecular probes for liquid- and gas chromatography – mass spectrometry; systems biology: high-throughput ultrasensitive in situ metabolomic analysis; metabolomic-driven medical research in diabetes, cardiovascular diseases and cancer
Prof. Dr. Jiuming He

E-Mail Website
Guest Editor
State Key Laboratory of Bioactive Substance and Function of Natural Medicines, NMPA Key Laboratory of Safety Research and Evaluation of Innovative Drug, National Research Center for Analysis of Drugs and Metabolites, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, 1 Xian Nong Tan Street, Beijing 100050, China
Interests: mass spectrometry (MS) and medicine; ambient MS ionization; imaging method; their application in molecular mapping for cancer research, neuroscience, drug research and development; Air Flow-Assisted Desorption Ionization (AFADESI)-Mass Spectrometry Imaging (MSI); cancer metabolism; pharmacokinetics; pharmacodynamics

Special Issue Information

Dear Colleagues,

The purpose of this Special Issue is to invite state-of-the-art research reports and review articles around the topic of mass-spectrometry-based metabolomics analysis. By now, it is well recognized that technologies for metabolomics analysis must allow separating, detecting, quantifying, and identifying many individual metabolites present within a complicated biological matrix (such as tissue, cell, biofluids, or breath), a changeling task given the approximately tens of thousands of human metabolites, plus drugs, food components, and bacterial metabolites. Due to this large number of analytes to be detected, it is clear that not one analytical technique will cover the entire metabolome. At the frontier of techniques used for metabolomics studies, mass-spectrometry-based techniques offer an excellent combination of sensitivity and selectivity and can be used for high throughput analysis which fits perfectly in a fast-paced research lab/clinical diagnostic laboratory setting. We welcome a broad range of manuscript submissions from mass spectrometry technique development to applications. We also welcome topics related to metabolic profiling, disease biomarker discoveries using metabolomics, metabolomics-based system biology studies, metabolic flux analysis, and advanced metabolomics data analysis. Both research reports and review articles will be considered.

Sincerely,

Dr. Jiangjiang(Chris) Zhu
Prof. Dr. Huiru Tang
Prof. Dr. Jiuming He
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Metabolomics
  • Mass spectrometry
  • Metabolic profiling
  • Disease biomarkers
  • System biology
  • Metabolic flux analysis
  • Advanced metabolomics data analysis

Published Papers (1 paper)

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Research

15 pages, 5256 KiB  
Article
Molecular Pathological Diagnosis of Thyroid Tumors Using Spatially Resolved Metabolomics
by Luojiao Huang, Xinxin Mao, Chenglong Sun, Tiegang Li, Xiaowei Song, Jiangshuo Li, Shanshan Gao, Ruiping Zhang, Jie Chen, Jiuming He and Zeper Abliz
Molecules 2022, 27(4), 1390; https://0-doi-org.brum.beds.ac.uk/10.3390/molecules27041390 - 18 Feb 2022
Cited by 8 | Viewed by 2443
Abstract
The pathological diagnosis of benign and malignant follicular thyroid tumors remains a major challenge using the current histopathological technique. To improve diagnosis accuracy, spatially resolved metabolomics analysis based on air flow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) technique was used to establish [...] Read more.
The pathological diagnosis of benign and malignant follicular thyroid tumors remains a major challenge using the current histopathological technique. To improve diagnosis accuracy, spatially resolved metabolomics analysis based on air flow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) technique was used to establish a molecular diagnostic strategy for discriminating four pathological types of thyroid tumor. Without any specific labels, numerous metabolite features with their spatial distribution information can be acquired by AFADESI-MSI. The underlying metabolic heterogeneity can be visualized in line with the cellular heterogeneity in native tumor tissue. Through micro-regional feature extraction and in situ metabolomics analysis, three sets of metabolic biomarkers for the visual discrimination of benign follicular adenoma and differentiated thyroid carcinomas were discovered. Additionally, the automated prediction of tumor foci was supported by a diagnostic model based on the metabolic profile of 65 thyroid nodules. The model prediction accuracy was 83.3% when a test set of 12 independent samples was used. This diagnostic strategy presents a new way of performing in situ pathological examinations using small molecular biomarkers and provides a model diagnosis for clinically indeterminate thyroid tumor cases. Full article
(This article belongs to the Special Issue Frontiers in Mass Spectrometry-Based Metabolomics Analysis)
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