Flow-mediated modulation of the endothelial cell lipidome
The luminal surface of the endothelium is exposed to dynamic blood flow patterns that are known to affect endothelial cell phenotype. While many studies have documented the phenotypic changes by gene or protein expression, less is known about the role of blood flow pattern on the endothelial cell (E...
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Published in | Frontiers in physiology Vol. 15; p. 1431847 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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24.07.2024
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ISSN | 1664-042X 1664-042X |
DOI | 10.3389/fphys.2024.1431847 |
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Abstract | The luminal surface of the endothelium is exposed to dynamic blood flow patterns that are known to affect endothelial cell phenotype. While many studies have documented the phenotypic changes by gene or protein expression, less is known about the role of blood flow pattern on the endothelial cell (EC) lipidome. In this study, shotgun lipidomics was conducted on human aortic ECs (HAECs) exposed to unidirectional laminar flow (UF), disturbed flow (DF), or static conditions for 48 h. A total of 520 individual lipid species from 17 lipid subclasses were detected. Total lipid abundance was significantly increased for HAECs exposed to DF compared to UF conditions. Despite the increase in the total lipid abundance, HAECs maintained equivalent composition of each lipid subclass (% of total lipid) under DF and UF. However, by lipid composition (% of total subclass), 28 lipid species were significantly altered between DF and UF. Complimentary RNA sequencing of HAECs exposed to UF or DF revealed changes in transcripts involved in lipid metabolism. Shotgun lipidomics was also performed on HAECs exposed to pro-inflammatory agonists lipopolysaccharide (LPS) or Pam3CSK4 (Pam3) for 48 h. Exposure to LPS or Pam3 reshaped the EC lipidome in both unique and overlapping ways. In conclusion, exposure to flow alters the EC lipidome and ECs undergo stimulus-specific lipid reprogramming in response to pro-inflammatory agonist exposure. Ultimately, this work provides a resource to profile the transcriptional and lipidomic changes that occur in response to applied flow that can be accessed by the vascular biology community to further dissect and extend our understanding of endothelial lipid biology. |
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AbstractList | The luminal surface of the endothelium is exposed to dynamic blood flow patterns that are known to affect endothelial cell phenotype. While many studies have documented the phenotypic changes by gene or protein expression, less is known about the role of blood flow pattern on the endothelial cell (EC) lipidome. In this study, shotgun lipidomics was conducted on human aortic ECs (HAECs) exposed to unidirectional laminar flow (UF), disturbed flow (DF), or static conditions for 48 h. A total of 520 individual lipid species from 17 lipid subclasses were detected. Total lipid abundance was significantly increased for HAECs exposed to DF compared to UF conditions. Despite the increase in the total lipid abundance, HAECs maintained equivalent composition of each lipid subclass (% of total lipid) under DF and UF. However, by lipid composition (% of total subclass), 28 lipid species were significantly altered between DF and UF. Complimentary RNA sequencing of HAECs exposed to UF or DF revealed changes in transcripts involved in lipid metabolism. Shotgun lipidomics was also performed on HAECs exposed to pro-inflammatory agonists lipopolysaccharide (LPS) or Pam3CSK4 (Pam3) for 48 h. Exposure to LPS or Pam3 reshaped the EC lipidome in both unique and overlapping ways. In conclusion, exposure to flow alters the EC lipidome and ECs undergo stimulus-specific lipid reprogramming in response to pro-inflammatory agonist exposure. Ultimately, this work provides a resource to profile the transcriptional and lipidomic changes that occur in response to applied flow that can be accessed by the vascular biology community to further dissect and extend our understanding of endothelial lipid biology. The luminal surface of the endothelium is exposed to dynamic blood flow patterns that are known to affect endothelial cell phenotype. While many studies have documented the phenotypic changes by gene or protein expression, less is known about the role of blood flow pattern on the endothelial cell (EC) lipidome. In this study, shotgun lipidomics was conducted on human aortic ECs (HAECs) exposed to unidirectional laminar flow (UF), disturbed flow (DF), or static conditions for 48 h. A total of 520 individual lipid species from 17 lipid subclasses were detected. Total lipid abundance was significantly increased for HAECs exposed to DF compared to UF conditions. Despite the increase in the total lipid abundance, HAECs maintained equivalent composition of each lipid subclass (% of total lipid) under DF and UF. However, by lipid composition (% of total subclass), 28 lipid species were significantly altered between DF and UF. Complimentary RNA sequencing of HAECs exposed to UF or DF revealed changes in transcripts involved in lipid metabolism. Shotgun lipidomics was also performed on HAECs exposed to pro-inflammatory agonists lipopolysaccharide (LPS) or Pam3CSK4 (Pam3) for 48 h. Exposure to LPS or Pam3 reshaped the EC lipidome in both unique and overlapping ways. In conclusion, exposure to flow alters the EC lipidome and ECs undergo stimulus-specific lipid reprogramming in response to pro-inflammatory agonist exposure. Ultimately, this work provides a resource to profile the transcriptional and lipidomic changes that occur in response to applied flow that can be accessed by the vascular biology community to further dissect and extend our understanding of endothelial lipid biology.The luminal surface of the endothelium is exposed to dynamic blood flow patterns that are known to affect endothelial cell phenotype. While many studies have documented the phenotypic changes by gene or protein expression, less is known about the role of blood flow pattern on the endothelial cell (EC) lipidome. In this study, shotgun lipidomics was conducted on human aortic ECs (HAECs) exposed to unidirectional laminar flow (UF), disturbed flow (DF), or static conditions for 48 h. A total of 520 individual lipid species from 17 lipid subclasses were detected. Total lipid abundance was significantly increased for HAECs exposed to DF compared to UF conditions. Despite the increase in the total lipid abundance, HAECs maintained equivalent composition of each lipid subclass (% of total lipid) under DF and UF. However, by lipid composition (% of total subclass), 28 lipid species were significantly altered between DF and UF. Complimentary RNA sequencing of HAECs exposed to UF or DF revealed changes in transcripts involved in lipid metabolism. Shotgun lipidomics was also performed on HAECs exposed to pro-inflammatory agonists lipopolysaccharide (LPS) or Pam3CSK4 (Pam3) for 48 h. Exposure to LPS or Pam3 reshaped the EC lipidome in both unique and overlapping ways. In conclusion, exposure to flow alters the EC lipidome and ECs undergo stimulus-specific lipid reprogramming in response to pro-inflammatory agonist exposure. Ultimately, this work provides a resource to profile the transcriptional and lipidomic changes that occur in response to applied flow that can be accessed by the vascular biology community to further dissect and extend our understanding of endothelial lipid biology. |
Author | Hong, Soon-Gook Bensinger, Steven J. Mack, Julia J. Kennelly, John P. Williams, Kevin J. |
AuthorAffiliation | 3 Department of Pathology and Laboratory Medicine , University of California, Los Angeles , Los Angeles , CA , United States 4 Department of Biological Chemistry , University of California, Los Angeles , Los Angeles , CA , United States 6 Department of Microbiology , Immunology and Molecular Genetics , University of California, Los Angeles , Los Angeles , CA , United States 2 Molecular Biology Institute , University of California, Los Angeles , Los Angeles , CA , United States 1 Department of Medicine , Division of Cardiology , University of California, Los Angeles , Los Angeles , CA , United States 5 UCLA Lipidomics Lab , University of California, Los Angeles , Los Angeles , CA , United States |
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Author_xml | – sequence: 1 givenname: Soon-Gook surname: Hong fullname: Hong, Soon-Gook – sequence: 2 givenname: John P. surname: Kennelly fullname: Kennelly, John P. – sequence: 3 givenname: Kevin J. surname: Williams fullname: Williams, Kevin J. – sequence: 4 givenname: Steven J. surname: Bensinger fullname: Bensinger, Steven J. – sequence: 5 givenname: Julia J. surname: Mack fullname: Mack, Julia J. |
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Cites_doi | 10.1016/j.cmet.2018.07.019 10.1038/s41569-023-00883-1 10.1074/jbc.M110.193037 10.7554/eLife.25217 10.1016/j.bbalip.2016.08.009 10.1042/BJ20150844 10.1126/sciadv.adj7481 10.1091/mbc.E13-09-0516 10.1038/s41580-023-00604-z 10.1074/jbc.R800042200 10.3389/fcimb.2023.1148383 10.1194/jlr.R800035-JLR200 10.1001/jama.282.21.2035 10.1016/j.xpro.2020.100235 10.1073/pnas.2023236118 10.1096/fj.14-268474 10.3390/cells12121640 10.1136/gutjnl-2020-320646 10.1016/j.chembiol.2018.11.016 10.1093/nar/gkw419 10.1016/s0021-9258(18)32290-7 10.1371/journal.pntd.0005830 10.1016/j.cmet.2020.05.003 10.1016/j.devcel.2021.03.034 10.1158/0008-5472.CAN-19-0369 10.1073/pnas.2014029117 10.1038/s41467-022-30374-9 10.1161/ATVBAHA.114.304277 10.1093/bja/aeh163 10.1016/j.bbalip.2020.158840 10.1161/ATVBAHA.108.181099 10.31083/j.fbl2801010 10.1242/jcs.119628 10.1021/jasms.1c00203 10.1093/bioinformatics/btz931 10.1038/s41598-017-08417-9 10.1152/physrev.00047.2009 10.1093/nar/gkv468 10.1161/hh2301.100806 10.1093/jb/mvt048 10.1186/s12859-015-0611-3 10.1093/bioinformatics/bts635 10.1096/fj.202002144R |
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Copyright | Copyright © 2024 Hong, Kennelly, Williams, Bensinger and Mack. Copyright © 2024 Hong, Kennelly, Williams, Bensinger and Mack. 2024 Hong, Kennelly, Williams, Bensinger and Mack |
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Keywords | shear stress inflammation endothelial cell flow pattern lipid profile |
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StartPage | 1431847 |
SubjectTerms | endothelial cell flow pattern inflammation lipid profile Physiology shear stress |
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Title | Flow-mediated modulation of the endothelial cell lipidome |
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