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Lipidomics of human adipose tissue reveals diversity between body areas
Adipose tissue plays a pivotal role in storing excess fat and its composition reflects the history of person's lifestyle and metabolic health. Broad profiling of lipids with mass spectrometry has potential for uncovering new knowledge on the pathology of obesity, metabolic syndrome, diabetes an...
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Published in: | PloS one 2020-06, Vol.15 (6), p.e0228521 |
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creator | Al-Sari, Naba Suvitaival, Tommi Mattila, Ismo Ali, Ashfaq Ahonen, Linda Trost, Kajetan Henriksen, Trine Foged Pociot, Flemming Dragsted, Lars Ove Legido-Quigley, Cristina |
description | Adipose tissue plays a pivotal role in storing excess fat and its composition reflects the history of person's lifestyle and metabolic health. Broad profiling of lipids with mass spectrometry has potential for uncovering new knowledge on the pathology of obesity, metabolic syndrome, diabetes and other related conditions. Here, we developed a lipidomic method for analyzing human subcutaneous adipose biopsies. We applied the method to four body areas to understand the differences in lipid composition between these areas.
Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The sample preparation optimization included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analyses were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps.
Lipidomic analysis on human adipose biopsies lead to the identification of 186lipids in 2 mg of sample. Technical variation of the lipid-class specific internal standards were below 5%, thus indicating acceptable repeatability. Triacylglycerols were highly represented in the adipose tissue samples, and lipids from 13 lipid classes were identified. Long polyunsaturated triacylglycerols in higher levels in thigh (q |
doi_str_mv | 10.1371/journal.pone.0228521 |
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Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The sample preparation optimization included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analyses were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps.
Lipidomic analysis on human adipose biopsies lead to the identification of 186lipids in 2 mg of sample. Technical variation of the lipid-class specific internal standards were below 5%, thus indicating acceptable repeatability. Triacylglycerols were highly represented in the adipose tissue samples, and lipids from 13 lipid classes were identified. Long polyunsaturated triacylglycerols in higher levels in thigh (q<0.05), when compared with the abdomen, breast and lower back, indicating that the lipidome was area-specific.
The method presented here is suitable for the analysis of lipid profiles in 2 mg of adipose tissue. The amount of fat across the body is important for health but we argue that also the distribution and the particular profile of the lipidome may be relevant for metabolic outcomes. We suggest that the method presented in this paper could be useful for detecting such aberrations.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0228521</identifier><identifier>PMID: 32544198</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abdomen ; Adipocytes ; Adipose tissue ; Adipose Tissue - metabolism ; Adipose Tissue - pathology ; Biochemistry ; Biology and Life Sciences ; Biopsy ; Body fat ; Breast ; Chromatography ; Clinical medicine ; Composition ; Diabetes ; Diabetes mellitus ; Dilution ; Disease ; Health aspects ; High performance liquid chromatography ; Humans ; Identification and classification ; Levels ; Lipid composition ; Lipid metabolism ; Lipidomics ; Lipids ; Liquid chromatography ; Mass spectrometry ; Mass spectroscopy ; Medicine and Health Sciences ; Metabolic disorders ; Metabolic syndrome ; Methods ; Optimization ; Organ Specificity ; Physical Sciences ; Physiological aspects ; Physiological research ; Quadrupoles ; Sample preparation ; Scientific imaging ; Spectroscopy ; Thigh ; Triglycerides</subject><ispartof>PloS one, 2020-06, Vol.15 (6), p.e0228521</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Al-Sari et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Al-Sari et al 2020 Al-Sari et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-1804f5f5477735b584585a33b2f4a931a9d1b361afadff6261bdd353f51d4a5f3</citedby><cites>FETCH-LOGICAL-c692t-1804f5f5477735b584585a33b2f4a931a9d1b361afadff6261bdd353f51d4a5f3</cites><orcidid>0000-0001-7704-3912 ; 0000-0003-0609-6317 ; 0000-0003-3274-5448</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2413949232/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2413949232?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32544198$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Oberer, Monika</contributor><creatorcontrib>Al-Sari, Naba</creatorcontrib><creatorcontrib>Suvitaival, Tommi</creatorcontrib><creatorcontrib>Mattila, Ismo</creatorcontrib><creatorcontrib>Ali, Ashfaq</creatorcontrib><creatorcontrib>Ahonen, Linda</creatorcontrib><creatorcontrib>Trost, Kajetan</creatorcontrib><creatorcontrib>Henriksen, Trine Foged</creatorcontrib><creatorcontrib>Pociot, Flemming</creatorcontrib><creatorcontrib>Dragsted, Lars Ove</creatorcontrib><creatorcontrib>Legido-Quigley, Cristina</creatorcontrib><title>Lipidomics of human adipose tissue reveals diversity between body areas</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Adipose tissue plays a pivotal role in storing excess fat and its composition reflects the history of person's lifestyle and metabolic health. Broad profiling of lipids with mass spectrometry has potential for uncovering new knowledge on the pathology of obesity, metabolic syndrome, diabetes and other related conditions. Here, we developed a lipidomic method for analyzing human subcutaneous adipose biopsies. We applied the method to four body areas to understand the differences in lipid composition between these areas.
Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The sample preparation optimization included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analyses were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps.
Lipidomic analysis on human adipose biopsies lead to the identification of 186lipids in 2 mg of sample. Technical variation of the lipid-class specific internal standards were below 5%, thus indicating acceptable repeatability. Triacylglycerols were highly represented in the adipose tissue samples, and lipids from 13 lipid classes were identified. Long polyunsaturated triacylglycerols in higher levels in thigh (q<0.05), when compared with the abdomen, breast and lower back, indicating that the lipidome was area-specific.
The method presented here is suitable for the analysis of lipid profiles in 2 mg of adipose tissue. The amount of fat across the body is important for health but we argue that also the distribution and the particular profile of the lipidome may be relevant for metabolic outcomes. We suggest that the method presented in this paper could be useful for detecting such aberrations.</description><subject>Abdomen</subject><subject>Adipocytes</subject><subject>Adipose tissue</subject><subject>Adipose Tissue - metabolism</subject><subject>Adipose Tissue - pathology</subject><subject>Biochemistry</subject><subject>Biology and Life Sciences</subject><subject>Biopsy</subject><subject>Body fat</subject><subject>Breast</subject><subject>Chromatography</subject><subject>Clinical medicine</subject><subject>Composition</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Dilution</subject><subject>Disease</subject><subject>Health aspects</subject><subject>High performance liquid chromatography</subject><subject>Humans</subject><subject>Identification and classification</subject><subject>Levels</subject><subject>Lipid composition</subject><subject>Lipid metabolism</subject><subject>Lipidomics</subject><subject>Lipids</subject><subject>Liquid 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of human adipose tissue reveals diversity between body areas</title><author>Al-Sari, Naba ; Suvitaival, Tommi ; Mattila, Ismo ; Ali, Ashfaq ; Ahonen, Linda ; Trost, Kajetan ; Henriksen, Trine Foged ; Pociot, Flemming ; Dragsted, Lars Ove ; Legido-Quigley, Cristina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-1804f5f5477735b584585a33b2f4a931a9d1b361afadff6261bdd353f51d4a5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Abdomen</topic><topic>Adipocytes</topic><topic>Adipose tissue</topic><topic>Adipose Tissue - metabolism</topic><topic>Adipose Tissue - pathology</topic><topic>Biochemistry</topic><topic>Biology and Life Sciences</topic><topic>Biopsy</topic><topic>Body fat</topic><topic>Breast</topic><topic>Chromatography</topic><topic>Clinical medicine</topic><topic>Composition</topic><topic>Diabetes</topic><topic>Diabetes 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Broad profiling of lipids with mass spectrometry has potential for uncovering new knowledge on the pathology of obesity, metabolic syndrome, diabetes and other related conditions. Here, we developed a lipidomic method for analyzing human subcutaneous adipose biopsies. We applied the method to four body areas to understand the differences in lipid composition between these areas.
Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The sample preparation optimization included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analyses were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps.
Lipidomic analysis on human adipose biopsies lead to the identification of 186lipids in 2 mg of sample. Technical variation of the lipid-class specific internal standards were below 5%, thus indicating acceptable repeatability. Triacylglycerols were highly represented in the adipose tissue samples, and lipids from 13 lipid classes were identified. Long polyunsaturated triacylglycerols in higher levels in thigh (q<0.05), when compared with the abdomen, breast and lower back, indicating that the lipidome was area-specific.
The method presented here is suitable for the analysis of lipid profiles in 2 mg of adipose tissue. The amount of fat across the body is important for health but we argue that also the distribution and the particular profile of the lipidome may be relevant for metabolic outcomes. We suggest that the method presented in this paper could be useful for detecting such aberrations.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32544198</pmid><doi>10.1371/journal.pone.0228521</doi><tpages>e0228521</tpages><orcidid>https://orcid.org/0000-0001-7704-3912</orcidid><orcidid>https://orcid.org/0000-0003-0609-6317</orcidid><orcidid>https://orcid.org/0000-0003-3274-5448</orcidid><oa>free_for_read</oa></addata></record> |
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source | PubMed Central(OpenAccess); Publicly Available Content (ProQuest) |
subjects | Abdomen Adipocytes Adipose tissue Adipose Tissue - metabolism Adipose Tissue - pathology Biochemistry Biology and Life Sciences Biopsy Body fat Breast Chromatography Clinical medicine Composition Diabetes Diabetes mellitus Dilution Disease Health aspects High performance liquid chromatography Humans Identification and classification Levels Lipid composition Lipid metabolism Lipidomics Lipids Liquid chromatography Mass spectrometry Mass spectroscopy Medicine and Health Sciences Metabolic disorders Metabolic syndrome Methods Optimization Organ Specificity Physical Sciences Physiological aspects Physiological research Quadrupoles Sample preparation Scientific imaging Spectroscopy Thigh Triglycerides |
title | Lipidomics of human adipose tissue reveals diversity between body areas |
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