Omics approach to reveal the effects of obesity on the protein profiles of the exosomes derived from different adipose depots
Background Obesity affects the cargo packaging of the adipocyte-derived exosomes. Furthermore, adipocytes in different adipose tissues have different genetic makeup, the cargo contents of the exosomes derived from different adipose tissues under obesity conditions should be different, and hence thei...
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| Veröffentlicht in: | Cellular and molecular life sciences : CMLS 2022-11, Vol.79 (11), p.570-570, Article 570 |
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| creator | Chen, Minting Zhang, Fan Chen, Baisen Lau, Condon Xu, Keyang Tong, Tiejun Huo, Chuying Han, Quanbin Su, Tao Kwan, Hiu Yee |
| description | Background
Obesity affects the cargo packaging of the adipocyte-derived exosomes. Furthermore, adipocytes in different adipose tissues have different genetic makeup, the cargo contents of the exosomes derived from different adipose tissues under obesity conditions should be different, and hence their impacts on the pathophysiological conditions.
Methods and results
iTRAQ-based quantitative proteomics show that obesity has more prominent effects on the protein profiles of the exosomes derived from subcutaneous adipose tissue (SAT-Exos) in the high fat diet-induced obesity (DIO) mice than those derived from epididymal adipose tissue (EAT-Exos) and visceral adipose tissue (VAT-Exos). The differentially expressed proteins (DEPs) in SAT-Exos and VAT-Exos are mainly involved in metabolism. Subsequent untargeted metabolomic and lipidomics analyses reveal that injection of these SAT-Exos into the B6/J-Rab27a-Cas9-KO mice significantly affects the mouse metabolism such as fatty acid metabolism. Some of the DEPs in SAT-Exos are correlated with fatty acid metabolism including ADP-ribosylation factor and mitogen-activated protein kinase kinase kinase-3. Pathway analysis also shows that SAT-Exos affect adipocyte lipolysis and glycerophospholipid metabolism, which is in parallel with the enhanced plasma levels of fatty acids, diglycerides, monoglycerides and the changes in glycerophospholipid levels in DIO mice.
Conclusion
Our data provide scientific evidence to suggest SAT-Exos contribute to the changes in plasma lipid profiles under obesity conditions. |
| doi_str_mv | 10.1007/s00018-022-04597-4 |
| format | Article |
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Obesity affects the cargo packaging of the adipocyte-derived exosomes. Furthermore, adipocytes in different adipose tissues have different genetic makeup, the cargo contents of the exosomes derived from different adipose tissues under obesity conditions should be different, and hence their impacts on the pathophysiological conditions.
Methods and results
iTRAQ-based quantitative proteomics show that obesity has more prominent effects on the protein profiles of the exosomes derived from subcutaneous adipose tissue (SAT-Exos) in the high fat diet-induced obesity (DIO) mice than those derived from epididymal adipose tissue (EAT-Exos) and visceral adipose tissue (VAT-Exos). The differentially expressed proteins (DEPs) in SAT-Exos and VAT-Exos are mainly involved in metabolism. Subsequent untargeted metabolomic and lipidomics analyses reveal that injection of these SAT-Exos into the B6/J-Rab27a-Cas9-KO mice significantly affects the mouse metabolism such as fatty acid metabolism. Some of the DEPs in SAT-Exos are correlated with fatty acid metabolism including ADP-ribosylation factor and mitogen-activated protein kinase kinase kinase-3. Pathway analysis also shows that SAT-Exos affect adipocyte lipolysis and glycerophospholipid metabolism, which is in parallel with the enhanced plasma levels of fatty acids, diglycerides, monoglycerides and the changes in glycerophospholipid levels in DIO mice.
Conclusion
Our data provide scientific evidence to suggest SAT-Exos contribute to the changes in plasma lipid profiles under obesity conditions.</description><identifier>ISSN: 1420-682X</identifier><identifier>EISSN: 1420-9071</identifier><identifier>DOI: 10.1007/s00018-022-04597-4</identifier><identifier>PMID: 36306016</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adenosine diphosphate ; Adipocytes ; Adipose tissue ; Adipose Tissue - metabolism ; ADP-ribosylation factor ; Animals ; Biochemistry ; Biomedical and Life Sciences ; Biomedicine ; blood lipids ; Body fat ; Cargo ; Cell Biology ; diacylglycerols ; Diglycerides ; epididymis ; Exosomes ; Exosomes - metabolism ; fatty acid metabolism ; Fatty acids ; Fatty Acids - metabolism ; gene expression regulation ; glycerophospholipids ; Glycerophospholipids - metabolism ; High fat diet ; Intra-Abdominal Fat - metabolism ; Kinases ; Life Sciences ; lipidomics ; Lipids ; Lipolysis ; MAP kinase ; Metabolism ; Metabolomics ; Mice ; Mice, Obese ; mitogen-activated protein kinase kinase ; monoacylglycerols ; Monoglycerides ; Obesity ; Obesity - metabolism ; Original Article ; Plasma levels ; Protein kinase ; Protein turnover ; Proteins ; Proteomics</subject><ispartof>Cellular and molecular life sciences : CMLS, 2022-11, Vol.79 (11), p.570-570, Article 570</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c452t-9d2398364e669726514272d9be0d96c89f238f84d088084740929efd85aa80ac3</citedby><cites>FETCH-LOGICAL-c452t-9d2398364e669726514272d9be0d96c89f238f84d088084740929efd85aa80ac3</cites><orcidid>0000-0002-6088-7323</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00018-022-04597-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00018-022-04597-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36306016$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Minting</creatorcontrib><creatorcontrib>Zhang, Fan</creatorcontrib><creatorcontrib>Chen, Baisen</creatorcontrib><creatorcontrib>Lau, Condon</creatorcontrib><creatorcontrib>Xu, Keyang</creatorcontrib><creatorcontrib>Tong, Tiejun</creatorcontrib><creatorcontrib>Huo, Chuying</creatorcontrib><creatorcontrib>Han, Quanbin</creatorcontrib><creatorcontrib>Su, Tao</creatorcontrib><creatorcontrib>Kwan, Hiu Yee</creatorcontrib><title>Omics approach to reveal the effects of obesity on the protein profiles of the exosomes derived from different adipose depots</title><title>Cellular and molecular life sciences : CMLS</title><addtitle>Cell. Mol. Life Sci</addtitle><addtitle>Cell Mol Life Sci</addtitle><description>Background
Obesity affects the cargo packaging of the adipocyte-derived exosomes. Furthermore, adipocytes in different adipose tissues have different genetic makeup, the cargo contents of the exosomes derived from different adipose tissues under obesity conditions should be different, and hence their impacts on the pathophysiological conditions.
Methods and results
iTRAQ-based quantitative proteomics show that obesity has more prominent effects on the protein profiles of the exosomes derived from subcutaneous adipose tissue (SAT-Exos) in the high fat diet-induced obesity (DIO) mice than those derived from epididymal adipose tissue (EAT-Exos) and visceral adipose tissue (VAT-Exos). The differentially expressed proteins (DEPs) in SAT-Exos and VAT-Exos are mainly involved in metabolism. Subsequent untargeted metabolomic and lipidomics analyses reveal that injection of these SAT-Exos into the B6/J-Rab27a-Cas9-KO mice significantly affects the mouse metabolism such as fatty acid metabolism. Some of the DEPs in SAT-Exos are correlated with fatty acid metabolism including ADP-ribosylation factor and mitogen-activated protein kinase kinase kinase-3. Pathway analysis also shows that SAT-Exos affect adipocyte lipolysis and glycerophospholipid metabolism, which is in parallel with the enhanced plasma levels of fatty acids, diglycerides, monoglycerides and the changes in glycerophospholipid levels in DIO mice.
Conclusion
Our data provide scientific evidence to suggest SAT-Exos contribute to the changes in plasma lipid profiles under obesity conditions.</description><subject>Adenosine diphosphate</subject><subject>Adipocytes</subject><subject>Adipose tissue</subject><subject>Adipose Tissue - metabolism</subject><subject>ADP-ribosylation factor</subject><subject>Animals</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>blood lipids</subject><subject>Body fat</subject><subject>Cargo</subject><subject>Cell Biology</subject><subject>diacylglycerols</subject><subject>Diglycerides</subject><subject>epididymis</subject><subject>Exosomes</subject><subject>Exosomes - metabolism</subject><subject>fatty acid metabolism</subject><subject>Fatty acids</subject><subject>Fatty Acids - metabolism</subject><subject>gene expression regulation</subject><subject>glycerophospholipids</subject><subject>Glycerophospholipids - metabolism</subject><subject>High fat diet</subject><subject>Intra-Abdominal Fat - metabolism</subject><subject>Kinases</subject><subject>Life Sciences</subject><subject>lipidomics</subject><subject>Lipids</subject><subject>Lipolysis</subject><subject>MAP kinase</subject><subject>Metabolism</subject><subject>Metabolomics</subject><subject>Mice</subject><subject>Mice, Obese</subject><subject>mitogen-activated protein kinase kinase</subject><subject>monoacylglycerols</subject><subject>Monoglycerides</subject><subject>Obesity</subject><subject>Obesity - metabolism</subject><subject>Original Article</subject><subject>Plasma levels</subject><subject>Protein kinase</subject><subject>Protein turnover</subject><subject>Proteins</subject><subject>Proteomics</subject><issn>1420-682X</issn><issn>1420-9071</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkTtvFTEQhS1ERELgD1AgSzQ0S8aP9dolinhJkdIEic7yXY-Jo931YvtGScF_x7n3AhIFqcbW-ebMjA4hrxi8YwDDWQEApjvgvAPZm6GTT8gJkxw6AwN7engrzb8dk-el3DS611w9I8dCCVDA1An5eTnHsVC3rjm58ZrWRDPeoptovUaKIeBYC02Bpg2WWO9pWnZKwyvG5aGGOOEO2XXcpZLm9veY4y16GnKaqY_NKONSqfNxTQWbvKZaXpCj4KaCLw_1lHz9-OHq_HN3cfnpy_n7i26UPa-d8VwYLZREpczAVd8OG7g3GwRv1KhN4EIHLT1oDVoOEgw3GLzundPgRnFK3u5927o_tliqnWMZcZrcgmlbLNdCcmmEMo-jgwDBZJvU0Df_oDdpm5d2SKO4GZhRvG8U31NjTqVkDHbNcXb53jKwDznafY625Wh3OVrZml4frLebGf2flt_BNUDsgdKk5Tvmv7P_Y_sLeWCn0Q</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Chen, Minting</creator><creator>Zhang, Fan</creator><creator>Chen, Baisen</creator><creator>Lau, Condon</creator><creator>Xu, Keyang</creator><creator>Tong, Tiejun</creator><creator>Huo, Chuying</creator><creator>Han, Quanbin</creator><creator>Su, Tao</creator><creator>Kwan, Hiu Yee</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7T5</scope><scope>7T7</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U7</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-6088-7323</orcidid></search><sort><creationdate>20221101</creationdate><title>Omics approach to reveal the effects of obesity on the protein profiles of the exosomes derived from different adipose depots</title><author>Chen, Minting ; Zhang, Fan ; Chen, Baisen ; Lau, Condon ; Xu, Keyang ; Tong, Tiejun ; Huo, Chuying ; Han, Quanbin ; Su, Tao ; Kwan, Hiu Yee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-9d2398364e669726514272d9be0d96c89f238f84d088084740929efd85aa80ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adenosine diphosphate</topic><topic>Adipocytes</topic><topic>Adipose tissue</topic><topic>Adipose Tissue - metabolism</topic><topic>ADP-ribosylation factor</topic><topic>Animals</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>blood lipids</topic><topic>Body fat</topic><topic>Cargo</topic><topic>Cell Biology</topic><topic>diacylglycerols</topic><topic>Diglycerides</topic><topic>epididymis</topic><topic>Exosomes</topic><topic>Exosomes - metabolism</topic><topic>fatty acid metabolism</topic><topic>Fatty acids</topic><topic>Fatty Acids - metabolism</topic><topic>gene expression regulation</topic><topic>glycerophospholipids</topic><topic>Glycerophospholipids - metabolism</topic><topic>High fat diet</topic><topic>Intra-Abdominal Fat - metabolism</topic><topic>Kinases</topic><topic>Life Sciences</topic><topic>lipidomics</topic><topic>Lipids</topic><topic>Lipolysis</topic><topic>MAP kinase</topic><topic>Metabolism</topic><topic>Metabolomics</topic><topic>Mice</topic><topic>Mice, Obese</topic><topic>mitogen-activated protein kinase kinase</topic><topic>monoacylglycerols</topic><topic>Monoglycerides</topic><topic>Obesity</topic><topic>Obesity - metabolism</topic><topic>Original Article</topic><topic>Plasma levels</topic><topic>Protein kinase</topic><topic>Protein turnover</topic><topic>Proteins</topic><topic>Proteomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Minting</creatorcontrib><creatorcontrib>Zhang, Fan</creatorcontrib><creatorcontrib>Chen, Baisen</creatorcontrib><creatorcontrib>Lau, Condon</creatorcontrib><creatorcontrib>Xu, Keyang</creatorcontrib><creatorcontrib>Tong, Tiejun</creatorcontrib><creatorcontrib>Huo, Chuying</creatorcontrib><creatorcontrib>Han, Quanbin</creatorcontrib><creatorcontrib>Su, Tao</creatorcontrib><creatorcontrib>Kwan, Hiu Yee</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Cellular and molecular life sciences : CMLS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Minting</au><au>Zhang, Fan</au><au>Chen, Baisen</au><au>Lau, Condon</au><au>Xu, Keyang</au><au>Tong, Tiejun</au><au>Huo, Chuying</au><au>Han, Quanbin</au><au>Su, Tao</au><au>Kwan, Hiu Yee</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Omics approach to reveal the effects of obesity on the protein profiles of the exosomes derived from different adipose depots</atitle><jtitle>Cellular and molecular life sciences : CMLS</jtitle><stitle>Cell. Mol. Life Sci</stitle><addtitle>Cell Mol Life Sci</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>79</volume><issue>11</issue><spage>570</spage><epage>570</epage><pages>570-570</pages><artnum>570</artnum><issn>1420-682X</issn><eissn>1420-9071</eissn><abstract>Background
Obesity affects the cargo packaging of the adipocyte-derived exosomes. Furthermore, adipocytes in different adipose tissues have different genetic makeup, the cargo contents of the exosomes derived from different adipose tissues under obesity conditions should be different, and hence their impacts on the pathophysiological conditions.
Methods and results
iTRAQ-based quantitative proteomics show that obesity has more prominent effects on the protein profiles of the exosomes derived from subcutaneous adipose tissue (SAT-Exos) in the high fat diet-induced obesity (DIO) mice than those derived from epididymal adipose tissue (EAT-Exos) and visceral adipose tissue (VAT-Exos). The differentially expressed proteins (DEPs) in SAT-Exos and VAT-Exos are mainly involved in metabolism. Subsequent untargeted metabolomic and lipidomics analyses reveal that injection of these SAT-Exos into the B6/J-Rab27a-Cas9-KO mice significantly affects the mouse metabolism such as fatty acid metabolism. Some of the DEPs in SAT-Exos are correlated with fatty acid metabolism including ADP-ribosylation factor and mitogen-activated protein kinase kinase kinase-3. Pathway analysis also shows that SAT-Exos affect adipocyte lipolysis and glycerophospholipid metabolism, which is in parallel with the enhanced plasma levels of fatty acids, diglycerides, monoglycerides and the changes in glycerophospholipid levels in DIO mice.
Conclusion
Our data provide scientific evidence to suggest SAT-Exos contribute to the changes in plasma lipid profiles under obesity conditions.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>36306016</pmid><doi>10.1007/s00018-022-04597-4</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-6088-7323</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adenosine diphosphate Adipocytes Adipose tissue Adipose Tissue - metabolism ADP-ribosylation factor Animals Biochemistry Biomedical and Life Sciences Biomedicine blood lipids Body fat Cargo Cell Biology diacylglycerols Diglycerides epididymis Exosomes Exosomes - metabolism fatty acid metabolism Fatty acids Fatty Acids - metabolism gene expression regulation glycerophospholipids Glycerophospholipids - metabolism High fat diet Intra-Abdominal Fat - metabolism Kinases Life Sciences lipidomics Lipids Lipolysis MAP kinase Metabolism Metabolomics Mice Mice, Obese mitogen-activated protein kinase kinase monoacylglycerols Monoglycerides Obesity Obesity - metabolism Original Article Plasma levels Protein kinase Protein turnover Proteins Proteomics |
| title | Omics approach to reveal the effects of obesity on the protein profiles of the exosomes derived from different adipose depots |
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