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Metabolites
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Application of Mass Spectrometry Imaging Technology in Metabolomics Research
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Application of Mass Spectrometry Imaging Technology in Metabolomics Research

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".

Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 5342

Special Issue Editor

Dr. Jialing Zhang

E-Mail Website
Guest Editor
Department of Chemistry , Hong Kong Baptist University, Hong Kong, China
Interests: mass spectrometry imaging; machine learning; cancer research; data mining

Special Issue Information

Dear Colleagues,

Mass spectrometry (MS) is one of the most powerful modern analytical techniques for charactering compounds, providing the sensitivity, specificity, and efficiency needed to perform metabolomic study. MS imaging (MSI) as a cutting-edge technique for in situ assessment of samples and has gained popularity and recognition in variety of fields over the past few years. Driven by the advances in MS instrumentation, the collection of metabolomic information, which comprises molecular spatial distribution details from MSI, comes into reality.

Through this Special Issue, “Application of Mass Spectrometry Imaging Technology in Metabolomics Research”, we aim to highlight primary research studies and literature reviews which focus on mass spectrometry imaging and its application in the field of metabolomics. Specific areas include, but are not limited to, health and medicine, environmental analysis, pharmaceuticals, food, and plant sciences.

The Special Issue is open for submission now. We invite leading researchers to submit their previously unpublished and novel research in this area. A proper extension may be granted. Please kindly let us know in advance.

Dr. Jialing Zhang
Guest Editor

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. Metabolites is an international peer-reviewed open access monthly 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

  • mass spectrometry imaging
  • metabolomics
  • artificial intelligence
  • health and medicine
  • environmental analysis
  • pharmaceuticals
  • food and plant sciences

Published Papers (3 papers)

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Research

27 pages, 8046 KiB  
Article
Extracellular Vesicles Contribute to the Difference in Lipid Composition between Ovarian Follicles of Different Size Revealed by Mass Spectrometry Imaging
by Emilie Maugrion, Ekaterina N. Shedova, Rustem Uzbekov, Ana-Paula Teixeira-Gomes, Valerie Labas, Daniel Tomas, Charles Banliat, Galina N. Singina and Svetlana Uzbekova
Metabolites 2023, 13(9), 1001; https://doi.org/10.3390/metabo13091001 - 9 Sep 2023
Cited by 1 | Viewed by 1232
Abstract
Follicular fluid (FF) ensures a safe environment for oocyte growth and maturation inside the ovarian follicle in mammals. In each cycle, the large dominant follicle (LF) contains the oocyte designated to be ovulated, whereas the small subordinate follicles (SFs) of the same wave [...] Read more.
Follicular fluid (FF) ensures a safe environment for oocyte growth and maturation inside the ovarian follicle in mammals. In each cycle, the large dominant follicle (LF) contains the oocyte designated to be ovulated, whereas the small subordinate follicles (SFs) of the same wave will die through atresia. In cows, the oocytes from the SF, being 2 mm in size, are suitable for in vitro reproduction biotechnologies, and their competence in developing an embryo depends on the size of the follicles. FF contains proteins, metabolites, fatty acids, and a multitude of extracellular vesicles (ffEVs) of different origins, which may influence oocyte competence through bidirectional exchanges of specific molecular cargo between follicular cells and enclosed oocytes. FF composition evolves along with follicle growth, and the abundance of different lipids varies between the LF and SF. Here, significant differences in FF lipid content between the LFs and SFs within the same ovary were demonstrated by MALD-TOF mass spectrometry imaging on bovine ovarian sections. We then aimed to enlighten the lipid composition of FF, and MALDI-TOF lipid profiling was performed on cellular, vesicular, and liquid fractions of FF. Differential analyses on the abundance of detected lipid features revealed specific enrichment of phospholipids in different ffEV types, such as microvesicles (MVs) and exosomes (Exo), compared to depleted FF. MALDI-TOF lipid profiling on MVs and Exo from the LF and SF samples (n = 24) revealed that more than 40% of detected features were differentially abundant between the groups of MVs and Exo from the different follicles (p < 0.01, fold change > 2). Glycerophospholipid and sphingolipid features were more abundant in ffEVs from the SFs, whereas different lysophospholipids, including phosphatidylinositols, were more abundant in the LFs. As determined by functional analysis, the specific lipid composition of ffEVs suggested the involvement of vesicular lipids in cell signaling pathways and largely contributed to the differentiation of the dominant and subordinate follicles. Full article
(This article belongs to the Special Issue Application of Mass Spectrometry Imaging Technology in Metabolomics Research)
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12 pages, 1386 KiB  
Article
MALDI MSI and Raman Spectroscopy Application in the Analysis of the Structural Components and Flavonoids in Brassica napus Stem
by Mikolaj Krysa, Katarzyna Susniak, Adrianna Kubas, Dominika Kidaj and Anna Sroka-Bartnicka
Metabolites 2023, 13(6), 687; https://doi.org/10.3390/metabo13060687 - 25 May 2023
Cited by 1 | Viewed by 1122
Abstract
Nod factors among the signaling molecules produced by rhizobia in response to flavonoids to induce root nodule formation in the legumes. It is, however, hypothesized that they might increase the yield and positively impact the growth of non-legumes. To evaluate this statement, rapeseed [...] Read more.
Nod factors among the signaling molecules produced by rhizobia in response to flavonoids to induce root nodule formation in the legumes. It is, however, hypothesized that they might increase the yield and positively impact the growth of non-legumes. To evaluate this statement, rapeseed treated with Nod factor-based biofertilizers were cultivated, their stems was collected, and the metabolic changes were investigated using Raman spectroscopy and MALDI mass spectrometry imaging. Biofertilizer proved to increase the concentration of lignin in the cortex, as well as hemicellulose, pectin, and cellulose in the pith. Moreover, the concentration of quercetin derivatives and kaempferol derivatives increased, while the concentration of isorhamnetin dihexoside decreased. The increase in the concentration of the structural components in the stem might therefore increase the lodging resistance, while the increase in concentration of the flavonoids might increase their resistance to fungal infection and herbivorous insects. Full article
(This article belongs to the Special Issue Application of Mass Spectrometry Imaging Technology in Metabolomics Research)
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19 pages, 8858 KiB  
Article
Comparison of Local Metabolic Changes in Diabetic Rodent Kidneys Using Mass Spectrometry Imaging
by Xin Zhang, Yanhua Liu, Shu Yang, Xin Gao, Shuo Wang, Zhaoying Wang, Chen Zhang, Zhi Zhou, Yanhua Chen, Zhonghua Wang and Zeper Abliz
Metabolites 2023, 13(3), 324; https://doi.org/10.3390/metabo13030324 - 22 Feb 2023
Cited by 4 | Viewed by 1895
Abstract
Understanding the renal region-specific metabolic alteration in different animal models of diabetic nephropathy (DN) is critical for uncovering the underlying mechanisms and for developing effective treatments. In the present study, spatially resolved metabolomics based on air flow-assisted desorption electrospray ionization mass spectrometry imaging [...] Read more.
Understanding the renal region-specific metabolic alteration in different animal models of diabetic nephropathy (DN) is critical for uncovering the underlying mechanisms and for developing effective treatments. In the present study, spatially resolved metabolomics based on air flow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) was used to compare the local metabolic changes in the kidneys of HFD/STZ-induced diabetic rats and db/db mice. As a result, a total of 67 and 59 discriminating metabolites were identified and visualized in the kidneys of the HFD/STZ-induced diabetic rats and db/db mice, respectively. The result showed that there were significant region-specific changes in the glycolysis, TCA cycle, lipid metabolism, carnitine metabolism, choline metabolism, and purine metabolism in both DN models. However, the regional levels of the ten metabolites, including glucose, AMP, eicosenoic acid, eicosapentaenoic acid, Phosphatidylserine (36:1), Phosphatidylserine (36:4), Phosphatidylethanolamine (34:1), Phosphatidylethanolamine (36:4), Phosphatidylcholine (34:2), Phosphatidylinositol (38:5) were changed in reversed directions, indicating significant differences in the local metabolic phenotypes of these two commonly used DN animal models. This study provides comprehensive and in-depth analysis of the differences in the tissue and molecular pathological features in diabetic kidney injury in HFD/STZ-induced diabetic rats and db/db mice. Full article
(This article belongs to the Special Issue Application of Mass Spectrometry Imaging Technology in Metabolomics Research)
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