Identification of glycerophospholipid fatty acid remodeling by using mass spectrometry imaging in bisphenol S induced mouse liver

2018 ◽  
Vol 29 (8) ◽  
pp. 1281-1283 ◽  
Author(s):  
Chao Zhao ◽  
Peisi Xie ◽  
Ti Yang ◽  
Hailin Wang ◽  
Arthur Chi Kong Chung ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acid ◽  
Mouse Liver ◽  
Mass Spectrometry Imaging ◽  
Bisphenol S

scholarly journals MALDI Mass Spectrometry Imaging of Lipids and Gene Expression Reveals Differences in Fatty Acid Metabolism between Follicular Compartments in Porcine Ovaries

Biology ◽  
2015 ◽  
Vol 4 (1) ◽  
pp. 216-236 ◽  
Author(s):  
Svetlana Uzbekova ◽  
Sebastien Elis ◽  
Ana-Paula Teixeira-Gomes ◽  
Alice Desmarchais ◽  
Virginie Maillard ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mass Spectrometry ◽  
Fatty Acid ◽  
Fatty Acid Metabolism ◽  
Mass Spectrometry Imaging ◽  
Acid Metabolism ◽  
Maldi Mass Spectrometry ◽  
Maldi Mass Spectrometry Imaging

scholarly journals In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids

2019 ◽  
Vol 4 (3) ◽  
pp. 527-538 ◽  
Author(s):  
Guy Schleyer ◽  
Nir Shahaf ◽  
Carmit Ziv ◽  
Yonghui Dong ◽  
Roy A. Meoded ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acid ◽  
Viral Infection ◽  
Mass Spectrometry Imaging ◽  
Chain Fatty Acid ◽  
Metabolic Shift

Quantitative analysis of multiple high-resolution mass spectrometry images using chemometric methods: quantitation of chlordecone in mouse liver

The Analyst ◽  
2018 ◽  
Vol 143 (10) ◽  
pp. 2416-2425 ◽  
Author(s):  
Saeedeh Mohammadi ◽  
Hadi Parastar
Keyword(s):  
Mass Spectrometry ◽  
Quantitative Analysis ◽  
High Resolution ◽  
Mouse Liver ◽  
Mass Spectrometry Imaging ◽  
High Resolution Mass Spectrometry ◽  
Chemometric Methods ◽  
Quantitative Mass Spectrometry ◽  
High Resolution Mass ◽  
Resolution Mass

In this work, a chemometrics-based strategy is developed for quantitative mass spectrometry imaging (MSI).

scholarly journals Higher Accumulation of Docosahexaenoic Acid in the Vermilion of the Human Lip than in the Skin

2020 ◽  
Vol 21 (8) ◽  
pp. 2807
Author(s):  
Md. Al Mamun ◽  
Shumpei Sato ◽  
Eiji Naru ◽  
Osamu Sakata ◽  
Emi Hoshikawa ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acids ◽  
Fatty Acid ◽  
Docosahexaenoic Acid ◽  
Mass Spectrometry Imaging ◽  
Fatty Acid Distribution ◽  
Desorption Electrospray Ionization ◽  
Monounsaturated Fatty Acids ◽  
Ionization Mass ◽  
The Difference

The vermilion of the human lip is a unique facial area because of certain distinguishing features from the adjacent tissues such as the white lip (skin) and oral mucosa. However, the distinction in terms of molecular distribution between the vermilion and skin has remained unexplored. Therefore, we aimed to map the human lip by mass spectrometry imaging to gain understanding of the free fatty acid distribution in the vermilion. The lip specimens trimmed off during cheiloplasty were analyzed using desorption electrospray ionization–mass spectrometry imaging. Distributions of two monounsaturated fatty acids and three polyunsaturated fatty acids were observed in the human lip tissue: palmitoleic acid (POA) and oleic acid (OA) and linoleic acid (LA), arachidonic acid (AA), and docosahexaenoic acid (DHA), respectively. Although POA, OA, LA, and AA were differentially distributed across the vermilion and skin, DHA showed a higher accumulation in the epithelium of the vermilion compared to that in the skin. Our results clearly demonstrated the difference in fatty acid distributions between the vermilion and skin. The highly abundant DHA in the epithelium of the vermilion may have an antioxidant role and may thus protect the lip from aging. Our findings can provide a novel strategy for treating lip disorders.

scholarly journals ‘In plaque-mass spectrometry imaging’ reveals a major metabolic shift towards odd-chain fatty acid lipids induced by host-virus interactions

2018 ◽  
Author(s):  
Guy Schleyer ◽  
Nir Shahaf ◽  
Carmit Ziv ◽  
Yonghui Dong ◽  
Roy A. Meoded ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acid ◽  
Mass Spectrometry Imaging ◽  
Infection Process ◽  
Chain Fatty Acid ◽  
Model Systems ◽  
Metabolic Shift ◽  
Spatiotemporal Resolution ◽  
Host Virus Interactions ◽  
Virus Interactions

AbstractTapping into the metabolic cross-talk between a host and its virus can reveal unique strategies employed during infection. Viral infection is a dynamic process that generates an evolving metabolic landscape. Gaining a continuous view into the infection process is highly challenging and is limited by current metabolomics approaches, which typically measure the average of the entire population at various stages of infection. Here, we took a novel approach to study the metabolic basis of host-virus interactions between the bloom-forming algaEmiliania huxleyiand its specific virus. We combined a classical method in virology, plaque assay, with advanced mass spectrometry imaging (MSI), an approach we termed ‘in plaque-MSI’. Taking advantage of the spatial characteristics of the plaque, we mapped the metabolic landscape induced during infection in a high spatiotemporal resolution, unfolding the infection process in a continuous manner. Further unsupervised spatially-aware clustering, combined with known lipid biomarkers, revealed a systematic metabolic shift towards lipids containing the odd-chain fatty acid pentadecanoic acid (C15:0) induced during infection. Applying ‘in plaque-MSI’ might pave the way for the discovery of novel bioactive compounds that mediate the chemical arms race of host-virus interactions in diverse model systems.

850 OBJECTIVE IDENTIFICATION OF OESOPHAGEAL ADENOCARCINOMA USING MASS SPECTROMETRY IMAGING

2021 ◽  
Vol 34 (Supplement_1) ◽  
Author(s):  
Stefan Antonowicz ◽  
Abbassi-Ghadi Nima ◽  
James McKenzie ◽  
Sacheen Kumar ◽  
Juzheng Huang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acid ◽  
Mass Spectrometry Imaging ◽  
De Novo ◽  
Quantitative Polymerase Chain Reaction ◽  
De Novo Lipogenesis ◽  
Oesophageal Adenocarcinoma ◽  
Upper Gastrointestinal Endoscopy ◽  
Functional Studies ◽  
Fragmentation Patterns

Abstract   Outcomes for oesophageal adenocarcinoma continue to be poor, as patients are often diagnosed too late for curative treatment. New tools to assist early and rapid diagnosis are needed. Tissue phospholipids quantified by mass spectrometry imaging (MSI) can objectively diagnose non-oesophageal cancers from control tissue in minutes. However, whether MSI can objectively identify oesophageal adenocarcinoma is unknown and represents a significant challenge, as this microenvironment is complex with phenotypically similar tissue-types. Methods Desorption electrospray ionisation mass spectrometry imaging (DESI-MSI) and bespoke chemometrics were used to assess the phospholipidomes of oesophageal adenocarcinoma and relevant control tissues, in surgical (discovery) and endoscopic (validation) cohorts. Structural annotations verified by tandem MS fragmentation patterns were performed to understand the characteristics of the key differential phospholipids. Bioinformatics, quantitative polymerase chain reaction, and immunohistochemistry were performed to describe the reprogramming of phospholipogenesis in oesophageal adenocarcinoma. Finally, genetic silencing experiments were performed to understand whether this genetic reprogramming impacts the oesophageal adenocarcinoma phospholipid signature. Results Multivariable models based on tissue phospholipids from 117 patients were highly discriminant for oesophageal adenocarcinoma both in discovery (area-under-curve = 0.97) and validation cohorts (AUC = 1). Cancer samples were enriched for polyunsaturated phosphatidylglycerols with longer acyl chains, with stepwise enrichment in pre-malignant tissues. Expression of fatty acid and glycerophospholipid synthesis genes was significantly upregulated, and characteristics of fatty acid acyls matched phospholipid acyls. Mechanistically, reducing ACLY expression in oesophageal adenocarcinoma cells shortened GPL chains, therefore linking de novo lipogenesis to the oesophageal adenocarcinoma phospholipidome. Conclusion DESI-MSI (i) objectively identified invasive oesophageal adenocarcinoma from a number of pre-malignant tissues (ii) described the characteristics of cancer phospholipids, which have unknown function (iii) unveiled a new mechanism of phospholipidomic reprogramming. These results call for accelerated diagnosis studies using DESI-MSI in the upper gastrointestinal endoscopy suite, as well as functional studies to determine how polyunsaturated phosphatidylglycerols are generated, and how they contribute to oesophageal carcinogenesis.

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