LIPIDOMIC PROFILING OF WILD TYPE AND FATTY ACID SYNTHASE (FASN) KNOCKOUT MICE WITH LC-cIMS-TOF MS AND MS/MS TECHNIQUES
Posters | 2021 | Waters | ASMSInstrumentation
Fatty acid synthase (FASN) plays a central role in mammalian lipid metabolism by catalyzing the formation of short‐chain fatty acids from acetyl‐CoA. Disrupting FASN activity shifts acetyl‐CoA flux toward other anabolic and energy pathways, with important implications for understanding metabolic diseases, energy homeostasis, and the development of lipid‐targeted therapies.
This work aimed to investigate how conditional knockout of the FASN gene in adult mice alters hepatic and cerebral lipid profiles. Using advanced lipidomic techniques, the study sought to:
Animal Model and Sample Preparation:
Liquid Chromatography and Mass Spectrometry:
Alterations in TAG and Phospholipid Pools:
Multivariate Analysis:
Enhanced Structural Resolution:
The combined LC‐cIMS‐TOF MS/MS approach offers:
Emerging directions include:
This study demonstrates that FASN knockout markedly alters lipid composition in mouse liver and brain, highlighting the enzyme’s impact on acetyl‐CoA distribution. The advanced LC‐cIMS‐TOF MS/MS platform provides a powerful tool for dissecting complex lipid networks and supports future investigations into metabolic regulation and therapeutic targeting.
1. Smith S. Fatty acid synthase: structure and mechanism. FASEB Journal. 1994;8(13):1248–1259.
2. Bueno M, Quintela-Fandino M. Fatty acid synthase in cancer: molecular and therapeutic aspects. Molecular & Cellular Oncology. 2020;7(2):1703891.
3. Paglia G, Astarita G. Advances in lipidomics implementing high‐definition mass spectrometry. Nature Protocols. 2017;12(4):797–813.
Ion Mobility, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
IndustriesLipidomics
ManufacturerWaters
Summary
Significance of the Topic
Fatty acid synthase (FASN) plays a central role in mammalian lipid metabolism by catalyzing the formation of short‐chain fatty acids from acetyl‐CoA. Disrupting FASN activity shifts acetyl‐CoA flux toward other anabolic and energy pathways, with important implications for understanding metabolic diseases, energy homeostasis, and the development of lipid‐targeted therapies.
Study Objectives and Overview
This work aimed to investigate how conditional knockout of the FASN gene in adult mice alters hepatic and cerebral lipid profiles. Using advanced lipidomic techniques, the study sought to:
- Compare lipid composition in wild‐type, heterozygous, and FASN knockout mice.
- Assess changes in triacylglycerols (TAGs), phospholipids, and other lipid classes.
- Evaluate the contribution of FASN activity to acetyl‐CoA‐derived lipid pools.
Methodology and Instrumentation
Animal Model and Sample Preparation:
- UBC‐Cre‐ERT2‐mediated conditional FASN knockout in eight‐week‐old mice via tamoxifen induction.
- Liver and brain tissues harvested five days post‐treatment and lipids extracted using the Folch protocol.
Liquid Chromatography and Mass Spectrometry:
- Reverse‐phase chromatography on an ACQUITY CSH C18 column with a gradient of acetonitrile/ammonium formate and isopropanol/acetonitrile buffers.
- Waters Select Series Cyclic IMS coupled to time‐of‐flight (TOF) MS with high‐ and low‐energy acquisition modes for both positive and negative electrospray ionization.
- Multipass high‐definition MSE experiments to improve peak capacity and resolve isomeric lipids.
Main Results and Discussion
Alterations in TAG and Phospholipid Pools:
- Significant shifts in TAG species, notably C56:7, with corresponding changes in collisional cross section (CCS) and abundance ratios (ANOVA p < 0.005).
- Changes in phosphatidylglycerol species indicating remodeling of membrane lipid composition.
Multivariate Analysis:
- PCA demonstrated clear clustering among wild‐type, heterozygous, and knockout groups, underscoring distinct lipid signatures.
Enhanced Structural Resolution:
- Multipass IMS experiments increased separation of isomeric lipids, enabling confident assignment of fatty acyl chain composition.
- MS/MS fragmentation patterns confirmed the identity of key lipids via LipidBlast database matches.
Benefits and Practical Applications
The combined LC‐cIMS‐TOF MS/MS approach offers:
- High throughput and sensitivity for complex lipidome profiling.
- Improved isomer separation, critical for accurate biomarker discovery.
- Versatility for studies of metabolic regulation, drug effects, and disease biomarkers in preclinical and translational research.
Future Trends and Potential Applications
Emerging directions include:
- Integration of ion mobility data with machine learning for automated lipid annotation.
- Extended multipass separation and higher‐resolution IMS designs for deeper structural insight.
- Application to clinical specimens for diagnostic lipidomics and personalized medicine.
Conclusion
This study demonstrates that FASN knockout markedly alters lipid composition in mouse liver and brain, highlighting the enzyme’s impact on acetyl‐CoA distribution. The advanced LC‐cIMS‐TOF MS/MS platform provides a powerful tool for dissecting complex lipid networks and supports future investigations into metabolic regulation and therapeutic targeting.
Reference
1. Smith S. Fatty acid synthase: structure and mechanism. FASEB Journal. 1994;8(13):1248–1259.
2. Bueno M, Quintela-Fandino M. Fatty acid synthase in cancer: molecular and therapeutic aspects. Molecular & Cellular Oncology. 2020;7(2):1703891.
3. Paglia G, Astarita G. Advances in lipidomics implementing high‐definition mass spectrometry. Nature Protocols. 2017;12(4):797–813.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
DISCOVERY LIPIDOMICS AND MAPPING OF EXOGENOUS FATTY ACID INCORPORATION INTO THE HELA LIPIDOME USING LC-IMS/MS AND LC-IMS/MS/MS
2023|Waters|Posters
DISCOVERY LIPIDOMICS AND MAPPING OF EXOGENOUS FATTY ACID INCORPORATION INTO THE HELA LIPIDOME USING LC-IMS/MS AND LC-IMS/MS/MS Johannes Morstein1 and Andrew Baker2 1 University of California, San Francisco, San Francisco, CA USA; 2Waters Corporation, Pleasanton CA, USA INTRODUCTION RESULTS FROM…
Key words
bodipy, bodipyhela, helaincorporation, incorporationims, imsexogenous, exogenousfatty, fattylipids, lipidswaters, waterscells, cellsincubated, incubatedlipidomics, lipidomicsendogenously, endogenouslydesaturation, desaturationmultipass, multipasslipid
Achieving comprehensive lipid profiling with a CCS, retention time and MS/MS library
2021|Waters|Posters
Abstract ID: 306326 Achieving comprehensive lipid profiling with a CCS, retention time and MS/MS library Nyasha Munjoma1, Sarah Lennon1, Jeff Goshawk1, Johannes PC Vissers1, Giorgis Isaac2, Steve Lai2, Graham Mullard1, Lee A. Gethings1, and Robert S. Plumb2 1 Waters Corporation,…
Key words
progenesis, progenesislipids, lipidsccs, ccsunifi, unifiinformatics, informaticsdatabases, databasessum, sumheatmap, heatmapsyndrome, syndromepremixed, premixedcomposition, compositioncohorts, cohortshdmse, hdmseshow, showlipidomic
A Rapid, Workflow Driven Approach to Discovery Lipidomics Using Ion Mobility DIA UPLC/MS and Lipostar™
2023|Waters|Applications
English Hong Kong | Application Note A Rapid, Workflow Driven Approach to Discovery Lipidomics Using Ion Mobility DIA UPLC/MS and Lipostar™ Nyasha Munjoma, Lee A. Gethings, Robert S. Plumb, Graham Mullard, Paolo Tiberi, Laura Goracci Waters Corporation, University of Perugia,…
Key words
lipostar, lipostarliver, liverlipidome, lipidomequality, qualitylipidomics, lipidomicsuplc, uplcinformatics, informaticsdia, diamultivariate, multivariateassurance, assurancemetabolomics, metabolomicsevotec, evotecmobility, mobilitymetasite, metasitetwims
APPLICATION NOTEBOOK - UNTARGETED METABOLOMICS AND LIPIDOMICS
2016|Waters|Guides
[ APPLICATION NOTEBOOK ] UNTARGETED METABOLOMICS AND LIPIDOMICS 1 1 This notebook is an excerpt from the larger Waters’ Application Notebook on Metabolomics and Lipidomics #720005245EN TABLE OF CONTENTS 3 Introduction 4 Development of a Metabolomic Assay for the Analysis…
Key words
neg, negpos, posacid, acidaminoacid, aminoaciduplc, uplcbasmati, basmatitransomics, transomicsbasic, basiclipids, lipidsmobility, mobilitylipid, lipidinformatics, informaticsprogenesis, progenesisnucleoside, nucleosidemetabolomics