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Udgivet

Lipidomics of human adipose tissue reveals diversity between bod areas

Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningpeer review

Harvard

Al-Sari, NH, Suvitaival, T, Mattila, I, Ali, A, Ahonen, L, Trošt, K, Henriksen, TF, Pociot, F, Dragsted, LO & Legido-Quigley, C 2019, 'Lipidomics of human adipose tissue reveals diversity between bod areas', Annual Meeting for North European Young Diabetologists (NEYD), 08/05/2019 - 10/05/2019.

APA

Al-Sari, N. H., Suvitaival, T., Mattila, I., Ali, A., Ahonen, L., Trošt, K., Henriksen, T. F., Pociot, F., Dragsted, L. O., & Legido-Quigley, C. (2019). Lipidomics of human adipose tissue reveals diversity between bod areas. Abstract fra Annual Meeting for North European Young Diabetologists (NEYD), .

CBE

Al-Sari NH, Suvitaival T, Mattila I, Ali A, Ahonen L, Trošt K, Henriksen TF, Pociot F, Dragsted LO, Legido-Quigley C. 2019. Lipidomics of human adipose tissue reveals diversity between bod areas. Abstract fra Annual Meeting for North European Young Diabetologists (NEYD), .

MLA

Al-Sari, Naba Hassan o.a.. Lipidomics of human adipose tissue reveals diversity between bod areas. Annual Meeting for North European Young Diabetologists (NEYD), 08 maj 2019, Konferenceabstrakt til konference, 2019.

Vancouver

Al-Sari NH, Suvitaival T, Mattila I, Ali A, Ahonen L, Trošt K o.a.. Lipidomics of human adipose tissue reveals diversity between bod areas. 2019. Abstract fra Annual Meeting for North European Young Diabetologists (NEYD), .

Author

Al-Sari, Naba Hassan ; Suvitaival, Tommi ; Mattila, Ismo ; Ali, Ashfaq ; Ahonen, Linda ; Trošt, Kajetan ; Henriksen, Trine Foged ; Pociot, Flemming ; Dragsted, Lars Ove ; Legido-Quigley, Cristina . / Lipidomics of human adipose tissue reveals diversity between bod areas. Abstract fra Annual Meeting for North European Young Diabetologists (NEYD), .

Bibtex

@conference{15584ce58c10401a92f48a89321be16f,
title = "Lipidomics of human adipose tissue reveals diversity between bod areas",
abstract = "Background and aims: Adipose tissue plays a pivotal role in storing excess fat and its composition reflects the history of person{\textquoteright}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. Materials and methods: Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The method development included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analysis were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps. Results: Lipidomic analysis on human adipose biopsies lead to the identification of 187 lipids 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. Conclusion: The method presented in this study is suitable for the analysis of lipid profiles in 2 mg of adipose tissue. Keywords: Lipidomics; LC-MS; adipose tissue. ",
author = "Al-Sari, {Naba Hassan} and Tommi Suvitaival and Ismo Mattila and Ashfaq Ali and Linda Ahonen and Kajetan Tro{\v s}t and Henriksen, {Trine Foged} and Flemming Pociot and Dragsted, {Lars Ove} and Cristina Legido-Quigley",
year = "2019",
language = "English",
note = "Annual Meeting for North European Young Diabetologists (NEYD) ; Conference date: 08-05-2019 Through 10-05-2019",

}

RIS

TY - ABST

T1 - Lipidomics of human adipose tissue reveals diversity between bod areas

AU - Al-Sari, Naba Hassan

AU - Suvitaival, Tommi

AU - Mattila, Ismo

AU - Ali, Ashfaq

AU - Ahonen, Linda

AU - Trošt, Kajetan

AU - Henriksen, Trine Foged

AU - Pociot, Flemming

AU - Dragsted, Lars Ove

AU - Legido-Quigley, Cristina

PY - 2019

Y1 - 2019

N2 - Background and aims: 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. Materials and methods: Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The method development included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analysis were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps. Results: Lipidomic analysis on human adipose biopsies lead to the identification of 187 lipids 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. Conclusion: The method presented in this study is suitable for the analysis of lipid profiles in 2 mg of adipose tissue. Keywords: Lipidomics; LC-MS; adipose tissue.

AB - Background and aims: 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. Materials and methods: Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The method development included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analysis were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps. Results: Lipidomic analysis on human adipose biopsies lead to the identification of 187 lipids 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. Conclusion: The method presented in this study is suitable for the analysis of lipid profiles in 2 mg of adipose tissue. Keywords: Lipidomics; LC-MS; adipose tissue.

M3 - Conference abstract for conference

T2 - Annual Meeting for North European Young Diabetologists (NEYD)

Y2 - 8 May 2019 through 10 May 2019

ER -

ID: 58577522