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      Raman spectroscopy and mass spectrometry identifies a unique group of epidermal lipids in active discoid lupus erythematosus

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          Abstract

          Discoid lupus erythematosus (DLE) is the most common form of cutaneous lupus 1 . It can cause permanent scarring. The pathophysiology of is not fully understood. Plasmacytoid dendritic cells are found in close association with apoptotic keratinocytes inferring close cellular signalling. Matrix Associated Laser Desorption Ionisation (MALDI) combined with Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS) is an exquisitely sensitive combination to examine disease processes at the cellular and molecular level. Active areas of discoid lupus erythematosus were compared with normal perilesional skin using MALDI combined with FT-ICR-MS. A unique set of biomarkers, including epidermal lipids is identified in active discoid lupus. These were assigned as sphingomyelins, phospholipids and ceramides. Additionally, increased levels of proteins from the keratin, and small proline rich family, and aromatic amino acids (tryptophan, phenylalanine, and tyrosine) in the epidermis are observed. These techniques, applied to punch biopsies of the skin, have shown a distinctive lipid profile of active discoid lupus. This profile may indicate specific lipid signalling pathways. Lipid rich microdomains (known as lipid rafts) are involved in cell signalling and lipid abnormalities have been described with systemic lupus erythematosus which correlate with disease activity.

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          Most cited references53

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          Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI).

          There is a general consensus that supports the need for standardized reporting of metadata or information describing large-scale metabolomics and other functional genomics data sets. Reporting of standard metadata provides a biological and empirical context for the data, facilitates experimental replication, and enables the re-interrogation and comparison of data by others. Accordingly, the Metabolomics Standards Initiative is building a general consensus concerning the minimum reporting standards for metabolomics experiments of which the Chemical Analysis Working Group (CAWG) is a member of this community effort. This article proposes the minimum reporting standards related to the chemical analysis aspects of metabolomics experiments including: sample preparation, experimental analysis, quality control, metabolite identification, and data pre-processing. These minimum standards currently focus mostly upon mass spectrometry and nuclear magnetic resonance spectroscopy due to the popularity of these techniques in metabolomics. However, additional input concerning other techniques is welcomed and can be provided via the CAWG on-line discussion forum at http://msi-workgroups.sourceforge.net/ or http://Msi-workgroups-feedback@lists.sourceforge.net. Further, community input related to this document can also be provided via this electronic forum.
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            Principles of bioactive lipid signalling: lessons from sphingolipids.

            It has become increasingly difficult to find an area of cell biology in which lipids do not have important, if not key, roles as signalling and regulatory molecules. The rapidly expanding field of bioactive lipids is exemplified by many sphingolipids, such as ceramide, sphingosine, sphingosine-1-phosphate (S1P), ceramide-1-phosphate and lyso-sphingomyelin, which have roles in the regulation of cell growth, death, senescence, adhesion, migration, inflammation, angiogenesis and intracellular trafficking. Deciphering the mechanisms of these varied cell functions necessitates an understanding of the complex pathways of sphingolipid metabolism and the mechanisms that regulate lipid generation and lipid action.
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              LIPID MAPS online tools for lipid research

              The LIPID MAPS consortium has developed a number of online tools for performing tasks such as drawing lipid structures and predicting possible structures from mass spectrometry (MS) data. A simple online interface has been developed to enable an end-user to rapidly generate a variety of lipid chemical structures, along with corresponding systematic names and ontological information. The structure-drawing tools are available for six categories of lipids: (i) fatty acyls, (ii) glycerolipids, (iii) glycerophospholipids, (iv) cardiolipins, (v) sphingolipids and (vi) sterols. Within each category, the structure-drawing tools support the specification of various parameters such as chain lengths at a specific sn position, head groups, double bond positions and stereochemistry to generate a specific lipid structure. The structure-drawing tools have also been integrated with a second set of online tools which predict possible lipid structures from precursor-ion and product-ion MS experimental data. The MS prediction tools are available for three categories of lipids: (i) mono/di/triacylglycerols, (ii) glycerophospholipids and (iii) cardiolipins. The LIPID MAPS online tools are publicly available at www.lipidmaps.org/tools/.
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                Author and article information

                Contributors
                Paul.Jarrett@middlemore.co.nz
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                30 September 2023
                30 September 2023
                2023
                : 13
                : 16452
                Affiliations
                [1 ]The Photon Factory, The University of Auckland, ( https://ror.org/03b94tp07) Auckland, New Zealand
                [2 ]School of Chemical Sciences, The University of Auckland, ( https://ror.org/03b94tp07) Auckland, New Zealand
                [3 ]The Dodd Walls Centre for Photonic and Quantum Technologies, ( https://ror.org/05p61mv27) Dunedin, New Zealand
                [4 ]Department of Physics, The University of Auckland, ( https://ror.org/03b94tp07) Auckland, New Zealand
                [5 ]Liggins Institute, The University of Auckland, ( https://ror.org/03b94tp07) Auckland, New Zealand
                [6 ]Department of Anatomy and Medical Imaging, The University of Auckland, ( https://ror.org/03b94tp07) Auckland, New Zealand
                [7 ]Department of Physiology, The University of Auckland, ( https://ror.org/03b94tp07) Auckland, New Zealand
                [8 ]The MacDiarmid Institute for Advanced Materials and Nanotechnology, ( https://ror.org/04gjfdj81) Wellington, New Zealand
                [9 ]Department of Dermatology, Middlemore Hospital, ( https://ror.org/055d6gv91) Auckland, New Zealand
                [10 ]Department of Medicine, The University of Auckland, ( https://ror.org/03b94tp07) Auckland, New Zealand
                Author information
                http://orcid.org/0000-0003-2675-2537
                http://orcid.org/0000-0001-5300-9920
                http://orcid.org/0000-0002-0932-1965
                http://orcid.org/0000-0002-8947-4557
                http://orcid.org/0000-0002-1540-1080
                http://orcid.org/0000-0001-9624-4947
                http://orcid.org/0000-0003-4963-412X
                http://orcid.org/0000-0001-5030-8896
                Article
                43331
                10.1038/s41598-023-43331-3
                10542761
                37777584
                9a86a34d-f74c-41b1-b376-d8ae869b83fe
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 May 2023
                : 22 September 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001511, Auckland Medical Research Foundation;
                Award ID: Edith C. Coan Postdoctoral Fellowship and Kelliher Charitable Trust Emerging Research Award
                Award Recipient :
                Funded by: New Zealand Ministry of Business, Innovation and Employment (MBIE)
                Award ID: Endeavour Smart Ideas project UOAX1714
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                cell biology,biomarkers,diseases,optics and photonics
                Uncategorized
                cell biology, biomarkers, diseases, optics and photonics

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