Quantities of phospholipid molecular classes in japanese meals and prediction of their sources by multiple regression analysis

Bungo Shirouchi, Rikako Yamanaka, Shoji Tanaka, Fagyun Kawatou, Takuya Hayashi, Ai Takeyama, Akiko Nakao, Ryoko Goromaru, Masako Iwamoto, Masao Sato

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Dietary intake of total phospholipids (PLs) accounts for approximately 10% of total dietary lipids. Each PL molecular class has various beneficial effects on health. However, limited information is available regarding the intake of phosphatidylcholine (PC), phos-phatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), lysophos-phatidylcholine (LPC) and sphingomyelin (SM) among Japanese people, and the relevant food sources. In this study, we quantified the contents of PC, PE, PI, PS, LPC, and SM in 120 meal samples served in a Japanese company’s dormitory and cafeteria. Additionally, we measured the weight of each food group and estimated the contents of nutrients in these meals. Furthermore, we conducted a stepwise multiple regression analysis to identify pre-dictors (food groups) of each PL class intake. The contents of total PL, PC, PE, PI+PS, LPC, and SM (mean value) were 4.44, 2.17, 0.632, 0.123, 0.313, and 0.127 g/d, respectively. These values were considered as daily PL intake in accordance with data (three macronu-trients, vitamins, and minerals) from our study and the National Health and Nutrition Survey (NHNS) Japan, 2015. The content of eggs, meat, fish and shellfish, milk, pulses, fruits, mushrooms, cereals, and fats and oils in the meals predicted the PL and PC contents. The content of eggs, pulses, and mushrooms in the meals predicted the PE contents. Our results determined the daily intake of PL molecular classes among Japanese people and the food sources of PC and PE, and suggested that multiple regression analysis is useful for the prediction of food sources of bioactive components.

Original languageEnglish
Pages (from-to)215-221
Number of pages7
JournalJournal of Nutritional Science and Vitaminology
Volume64
Issue number3
DOIs
Publication statusPublished - Jan 1 2018

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Meals
Phospholipids
Regression Analysis
Phosphatidylcholines
Food
Sphingomyelins
Phosphatidylserines
Phosphatidylinositols
Agaricales
Eggs
Shellfish
Nutrition Surveys
Health Surveys
Vitamins
Meat
Minerals
Fruit
Japan
Oils
Fishes

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Nutrition and Dietetics

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Quantities of phospholipid molecular classes in japanese meals and prediction of their sources by multiple regression analysis. / Shirouchi, Bungo; Yamanaka, Rikako; Tanaka, Shoji; Kawatou, Fagyun; Hayashi, Takuya; Takeyama, Ai; Nakao, Akiko; Goromaru, Ryoko; Iwamoto, Masako; Sato, Masao.

In: Journal of Nutritional Science and Vitaminology, Vol. 64, No. 3, 01.01.2018, p. 215-221.

Research output: Contribution to journalArticle

Shirouchi, Bungo ; Yamanaka, Rikako ; Tanaka, Shoji ; Kawatou, Fagyun ; Hayashi, Takuya ; Takeyama, Ai ; Nakao, Akiko ; Goromaru, Ryoko ; Iwamoto, Masako ; Sato, Masao. / Quantities of phospholipid molecular classes in japanese meals and prediction of their sources by multiple regression analysis. In: Journal of Nutritional Science and Vitaminology. 2018 ; Vol. 64, No. 3. pp. 215-221.
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