Surfactant Lipidomics of Alveolar Lavage Fluid in Mice Based on Ultra-High-Performance Liquid Chromatography Coupled to Hybrid Quadrupole-Exactive Orbitrap Mass Spectrometry

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Abstract

Surfactant lipid metabolism is closely related to pulmonary diseases. Lipid metabolism disorder can cause lung diseases, vice versa. With this rationale, a useful method was established in this study to determine the lipidome in bronchoalveolar lavage fluid (BALF) of mice. The lipid components in BALF were extracted by liquid–liquid extraction (methanol and methyl tert-butyl ether, and water). Ultra-high-performance liquid chromatography coupled to hybrid Quadrupole-Exactive Orbitrap mass spectrometry was used to analyze the extracted samples, which showed a broad scanning range of 215–1800 m/ z. With MS-DIAL software and built-in LipidBlast database, we identified 38 lipids in positive, and 31 lipids in negative, ion mode, including lysophosphatidylcholine (lysoPC), phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylglycerol (PG), etc. Then, the changes of lipids in BALF of mice with acute lung injury (ALI) induced by lipopolysaccharide (LPS) was investigated, which may contribute to further exploration of the pathogenesis of ALI.

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Most cited references 32

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MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis

Hiroshi Tsugawa, Tomas Cajka, Tobias Kind … (2015)

Data-independent acquisition (DIA) in liquid chromatography tandem mass spectrometry (LC-MS/MS) provides more comprehensive untargeted acquisition of molecular data. Here we provide an open-source software pipeline, MS-DIAL, to demonstrate how DIA improves simultaneous identification and quantification of small molecules by mass spectral deconvolution. For reversed phase LC-MS/MS, our program with an enriched LipidBlast library identified total 1,023 lipid compounds from nine algal strains to highlight their chemotaxonomic relationships.

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An official American Thoracic Society workshop report: features and measurements of experimental acute lung injury in animals.

Gustavo Matute-Bello, Gregory Downey, Bethany B. Moore … (2011)

Acute lung injury (ALI) is well defined in humans, but there is no agreement as to the main features of acute lung injury in animal models. A Committee was organized to determine the main features that characterize ALI in animal models and to identify the most relevant methods to assess these features. We used a Delphi approach in which a series of questionnaires were distributed to a panel of experts in experimental lung injury. The Committee concluded that the main features of experimental ALI include histological evidence of tissue injury, alteration of the alveolar capillary barrier, presence of an inflammatory response, and evidence of physiological dysfunction; they recommended that, to determine if ALI has occurred, at least three of these four main features of ALI should be present. The Committee also identified key "very relevant" and "somewhat relevant" measurements for each of the main features of ALI and recommended the use of least one "very relevant" measurement and preferably one or two additional separate measurements to determine if a main feature of ALI is present. Finally, the Committee emphasized that not all of the measurements listed can or should be performed in every study, and that measurements not included in the list are by no means "irrelevant." Our list of features and measurements of ALI is intended as a guide for investigators, and ultimately investigators should choose the particular measurements that best suit the experimental questions being addressed as well as take into consideration any unique aspects of the experimental design.

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Lipidomics for studying metabolism.

Xianlin Han (2016)

Many thousands of lipid species exist and their metabolism is interwoven via numerous pathways and networks. These networks can also change in response to cellular environment alterations, such as exercise or development of a disease. Measuring such alterations and understanding the pathways involved is crucial to fully understand cellular metabolism. Such demands have catalysed the emergence of lipidomics, which enables the large-scale study of lipids using the principles of analytical chemistry. Mass spectrometry, largely due to its analytical power and rapid development of new instruments and techniques, has been widely used in lipidomics and greatly accelerated advances in the field. This Review provides an introduction to lipidomics and describes some common, but important, cellular metabolic networks that can aid our understanding of metabolic pathways. Some representative applications of lipidomics for studying lipid metabolism and metabolic diseases are highlighted, as well as future applications for the use of lipidomics in studying metabolic pathways.

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Author and article information

Journal

Journal ID (nlm-ta): Metabolites

Journal ID (iso-abbrev): Metabolites

Journal ID (publisher-id): metabolites

Title: Metabolites

Publisher: MDPI

ISSN (Electronic): 2218-1989

Publication date (Electronic): 25 April 2019

Publication date Collection: April 2019

Volume: 9

Issue: 4

Electronic Location Identifier: 80

Affiliations

[1 ]Jiangsu Key Laboratory of Pediatric Respiratory Disease, School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing 210023, China; 20171349@ 123456njucm.edu.cn (R.Y.); 20161325@ 123456njucm.edu.cn (W.Q.)

[2 ]Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing 210023, China; penglx01@ 123456163.com (L.P.); linnj@ 123456njucm.edu.cn (L.L.); njxj0106@ 123456126.com (J.X.); sunnyxyl1021@ 123456163.com (T.X.)

[3 ]Institute of Pediatrics, Nanjing University of Chinese Medicine, Nanjing 210023, China; Jijj@ 123456njucm.edu.cn

[4 ]Genome Center of UC Davis, NIH West Coast Metabolomics Center, Davis, CA 95616, USA; yzhang1088@ 123456gmail.com

Author notes

[* ]Correspondence: xqzhan14@ 123456sina.com (X.Z.); jshan@ 123456njucm.edu.cn (J.S.); Tel.: +86-25-85811329 (J.S.)

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Jinjun Shan https://orcid.org/0000-0001-8079-7950

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Publisher ID: metabolites-09-00080

DOI: 10.3390/metabo9040080

PMC ID: 6523637

PubMed ID: 31027159

SO-VID: 9919c92c-307b-443d-936a-55500ea32140

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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

Surfactant Lipidomics of Alveolar Lavage Fluid in Mice Based on Ultra-High-Performance Liquid Chromatography Coupled to Hybrid Quadrupole-Exactive Orbitrap Mass Spectrometry

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Inflamed lung in vitro co-culture models

Most cited references 32

MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis

An official American Thoracic Society workshop report: features and measurements of experimental acute lung injury in animals.

Lipidomics for studying metabolism.

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