Comparison of dimension reduction methods on fatty acids food source study

Abstract Serum fatty acids (FAs) exist in the four lipid fractions of triglycerides (TGs), phospholipids (PLs), cholesteryl esters (CEs) and free fatty acids (FFAs). Total fatty acids (TFAs) indicate the sum of FAs in them. In this study, four statistical analysis methods, which are independent comp...

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Autores principales: Yifan Chen, Yusuke Miura, Toshihiro Sakurai, Zhen Chen, Rojeet Shrestha, Sota Kato, Emiko Okada, Shigekazu Ukawa, Takafumi Nakagawa, Koshi Nakamura, Akiko Tamakoshi, Hitoshi Chiba, Hideyuki Imai, Hiroyuki Minami, Masahiro Mizuta, Shu-Ping Hui
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:e2cfa76976d245c7983ecf9aad2c70582021-12-02T18:48:09ZComparison of dimension reduction methods on fatty acids food source study10.1038/s41598-021-97349-62045-2322https://doaj.org/article/e2cfa76976d245c7983ecf9aad2c70582021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97349-6https://doaj.org/toc/2045-2322Abstract Serum fatty acids (FAs) exist in the four lipid fractions of triglycerides (TGs), phospholipids (PLs), cholesteryl esters (CEs) and free fatty acids (FFAs). Total fatty acids (TFAs) indicate the sum of FAs in them. In this study, four statistical analysis methods, which are independent component analysis (ICA), factor analysis, common principal component analysis (CPCA) and principal component analysis (PCA), were conducted to uncover food sources of FAs among the four lipid fractions (CE, FFA, and TG + PL). Among the methods, ICA provided the most suggestive results. To distinguish the animal fat intake from endogenous fatty acids, FFA variables in ICA and factor analysis were studied. ICA provided more distinct suggestions of FA food sources (endogenous, plant oil intake, animal fat intake, and fish oil intake) than factor analysis. Moreover, ICA was discovered as a new approach to distinguish animal FAs from endogenous FAs, which will have an impact on epidemiological studies. In addition, the correlation coefficients between a published dataset of food FA compositions and the loading values obtained in the present ICA study suggested specific foods as serum FA sources. In conclusion, we found that ICA is a useful tool to uncover food sources of serum FAs.Yifan ChenYusuke MiuraToshihiro SakuraiZhen ChenRojeet ShresthaSota KatoEmiko OkadaShigekazu UkawaTakafumi NakagawaKoshi NakamuraAkiko TamakoshiHitoshi ChibaHideyuki ImaiHiroyuki MinamiMasahiro MizutaShu-Ping HuiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yifan Chen
Yusuke Miura
Toshihiro Sakurai
Zhen Chen
Rojeet Shrestha
Sota Kato
Emiko Okada
Shigekazu Ukawa
Takafumi Nakagawa
Koshi Nakamura
Akiko Tamakoshi
Hitoshi Chiba
Hideyuki Imai
Hiroyuki Minami
Masahiro Mizuta
Shu-Ping Hui
Comparison of dimension reduction methods on fatty acids food source study
description Abstract Serum fatty acids (FAs) exist in the four lipid fractions of triglycerides (TGs), phospholipids (PLs), cholesteryl esters (CEs) and free fatty acids (FFAs). Total fatty acids (TFAs) indicate the sum of FAs in them. In this study, four statistical analysis methods, which are independent component analysis (ICA), factor analysis, common principal component analysis (CPCA) and principal component analysis (PCA), were conducted to uncover food sources of FAs among the four lipid fractions (CE, FFA, and TG + PL). Among the methods, ICA provided the most suggestive results. To distinguish the animal fat intake from endogenous fatty acids, FFA variables in ICA and factor analysis were studied. ICA provided more distinct suggestions of FA food sources (endogenous, plant oil intake, animal fat intake, and fish oil intake) than factor analysis. Moreover, ICA was discovered as a new approach to distinguish animal FAs from endogenous FAs, which will have an impact on epidemiological studies. In addition, the correlation coefficients between a published dataset of food FA compositions and the loading values obtained in the present ICA study suggested specific foods as serum FA sources. In conclusion, we found that ICA is a useful tool to uncover food sources of serum FAs.
format article
author Yifan Chen
Yusuke Miura
Toshihiro Sakurai
Zhen Chen
Rojeet Shrestha
Sota Kato
Emiko Okada
Shigekazu Ukawa
Takafumi Nakagawa
Koshi Nakamura
Akiko Tamakoshi
Hitoshi Chiba
Hideyuki Imai
Hiroyuki Minami
Masahiro Mizuta
Shu-Ping Hui
author_facet Yifan Chen
Yusuke Miura
Toshihiro Sakurai
Zhen Chen
Rojeet Shrestha
Sota Kato
Emiko Okada
Shigekazu Ukawa
Takafumi Nakagawa
Koshi Nakamura
Akiko Tamakoshi
Hitoshi Chiba
Hideyuki Imai
Hiroyuki Minami
Masahiro Mizuta
Shu-Ping Hui
author_sort Yifan Chen
title Comparison of dimension reduction methods on fatty acids food source study
title_short Comparison of dimension reduction methods on fatty acids food source study
title_full Comparison of dimension reduction methods on fatty acids food source study
title_fullStr Comparison of dimension reduction methods on fatty acids food source study
title_full_unstemmed Comparison of dimension reduction methods on fatty acids food source study
title_sort comparison of dimension reduction methods on fatty acids food source study
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/e2cfa76976d245c7983ecf9aad2c7058
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