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      Metabolomic fingerprinting and systemic inflammatory profiling of asthma COPD overlap (ACO)

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          Abstract

          Background

          Asthma-COPD overlap (ACO) refers to a group of poorly studied and characterised patients reporting with disease presentations of both asthma and COPD, thereby making both diagnosis and treatment challenging for the clinicians. They exhibit a higher burden in terms of both mortality and morbidity in comparison to patients with only asthma or COPD. The pathophysiology of the disease and its existence as a unique disease entity remains unclear. The present study aims to determine whether ACO has a distinct metabolic and immunological mediator profile in comparison to asthma and COPD.

          Methods

          Global metabolomic profiling using two different groups of patients [discovery (D) and validation (V)] were conducted. Serum samples obtained from moderate and severe asthma [ n = 34(D); n = 32(V)], moderate and severe COPD [ n = 30(D); 32(V)], ACO patients [ n = 35(D); 40(V)] and healthy controls [ n = 33(D)] were characterized using gas chromatography mass spectrometry (GC-MS). Multiplexed analysis of 25 immunological markers (IFN-γ (interferon gamma), TNF-α (tumor necrosis factor alpha), IL-12p70 (interleukin 12p70), IL-2, IL-4, IL-5, IL-13, IL-10, IL-1α, IL-1β, TGF-β (transforming growth factor), IL-6, IL-17E, IL-21, IL-23, eotaxin, GM-CSF (granulocyte macrophage-colony stimulating factor), IFN-α (interferon alpha), IL-18, NGAL (neutrophil gelatinase-associated lipocalin), periostin, TSLP (thymic stromal lymphopoietin), MCP-1 (monocyte chemoattractant protein- 1), YKL-40 (chitinase 3 like 1) and IL-8) was also performed in the discovery cohort.

          Results

          Eleven metabolites [serine, threonine, ethanolamine, glucose, cholesterol, 2-palmitoylglycerol, stearic acid, lactic acid, linoleic acid, D-mannose and succinic acid] were found to be significantly altered in ACO as compared with asthma and COPD. The levels and expression trends were successfully validated in a fresh cohort of subjects. Thirteen immunological mediators including TNFα, IL-1β, IL-17E, GM-CSF, IL-18, NGAL, IL-5, IL-10, MCP-1, YKL-40, IFN-γ, IL-6 and TGF-β showed distinct expression patterns in ACO. These markers and metabolites exhibited significant correlation with each other and also with lung function parameters.

          Conclusions

          The energy metabolites, cholesterol and fatty acids correlated significantly with the immunological mediators, suggesting existence of a possible link between the inflammatory status of these patients and impaired metabolism. The present findings could be possibly extended to better define the ACO diagnostic criteria, management and tailoring therapies exclusively for the disease.

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          Most cited references64

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          Innovation: Metabolomics: the apogee of the omics trilogy.

          Metabolites, the chemical entities that are transformed during metabolism, provide a functional readout of cellular biochemistry. With emerging technologies in mass spectrometry, thousands of metabolites can now be quantitatively measured from minimal amounts of biological material, which has thereby enabled systems-level analyses. By performing global metabolite profiling, also known as untargeted metabolomics, new discoveries linking cellular pathways to biological mechanism are being revealed and are shaping our understanding of cell biology, physiology and medicine.
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            IL-25 induces IL-4, IL-5, and IL-13 and Th2-associated pathologies in vivo.

            We have characterized a cytokine produced by Th2 cells, designated as IL-25. Infusion of mice with IL-25 induced IL-4, IL-5, and IL-13 gene expression. The induction of these cytokines resulted in Th2-like responses marked by increased serum IgE, IgG(1), and IgA levels, blood eosinophilia, and pathological changes in the lungs and digestive tract that included eosinophilic infiltrates, increased mucus production, and epithelial cell hyperplasia/hypertrophy. In addition, our studies show that IL-25 induces Th2-type cytokine production by accessory cells that are MHC class II(high), CD11c(dull), and lineage(-). These results suggest that IL-25, derived from Th2 T cells, is capable of amplifying allergic type inflammatory responses by its actions on other cell types.
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              MetPA: a web-based metabolomics tool for pathway analysis and visualization.

              MetPA (Metabolomics Pathway Analysis) is a user-friendly, web-based tool dedicated to the analysis and visualization of metabolomic data within the biological context of metabolic pathways. MetPA combines several advanced pathway enrichment analysis procedures along with the analysis of pathway topological characteristics to help identify the most relevant metabolic pathways involved in a given metabolomic study. The results are presented in a Google-map style network visualization system that supports intuitive and interactive data exploration through point-and-click, dragging and lossless zooming. Additional features include a comprehensive compound library for metabolite name conversion, automatic generation of analysis report, as well as the implementation of various univariate statistical procedures that can be accessed when users click on any metabolite node on a pathway map. MetPA currently enables analysis and visualization of 874 metabolic pathways, covering 11 common model organisms. Freely available at http://metpa.metabolomics.ca.
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                Author and article information

                Contributors
                koel@smst.iitkgp.ac.in , koeliitkgp@gmail.com
                Journal
                Respir Res
                Respir. Res
                Respiratory Research
                BioMed Central (London )
                1465-9921
                1465-993X
                24 May 2020
                24 May 2020
                2020
                : 21
                : 126
                Affiliations
                [1 ]GRID grid.429017.9, ISNI 0000 0001 0153 2859, School of Medical Science and Technology, , Indian Institute of Technology Kharagpur, ; Kharagpur, 721302 India
                [2 ]GRID grid.425195.e, ISNI 0000 0004 0498 7682, Translational Health Group, , International Centre for Genetic Engineering and Biotechnology, ; New Delhi, India
                [3 ]Institute of Pulmocare and Research, Kolkata, India
                [4 ]GRID grid.413836.b, ISNI 0000 0004 1802 3104, Apollo Gleneagles Hospital, ; Kolkata, India
                [5 ]GRID grid.429017.9, ISNI 0000 0001 0153 2859, Department of Agricultural and Food Engineering, , Indian Institute of Technology Kharagpur, ; Kharagpur, India
                Author information
                http://orcid.org/0000-0002-9390-1179
                Article
                1390
                10.1186/s12931-020-01390-4
                7245917
                32448302
                cf2a20c5-c6bf-44fb-9067-0ca667bfbbdd
                © The Author(s) 2020

                Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 22 February 2020
                : 10 May 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004541, Ministry of Human Resource Development;
                Award ID: Grant No: F. NO. 4-23/2014-TS.I, Dt. 14-03-2014
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100008789, Department of Science and Technology, Government of West Bengal;
                Award ID: Grant No: 867(Sanc.)/ST/P/S&T/9G-17/2015, Dt. 15-01-2016
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Respiratory medicine
                asthma copd overlap (aco),metabolomics,mass spectrometry,inflammatory mediators

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