Evidence map›Paper›PMID 34548525›Full record

ArticleScientific reports2021

Comparison of dimension reduction methods on fatty acids food source study.

Yifan Chen, Yusuke Miura, Toshihiro Sakurai, Zhen Chen, Rojeet Shrestha, Sota Kato, Emiko Okada, Shigekazu Ukawa, Takafumi Nakagawa, Koshi Nakamura and 6 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yifan ChenFaculty of Health Sciences, Hokkaido University, Sapporo, 060-0808, Japan.
Yusuke MiuraSchool of Medical Technology, Faculty of Health Science, Gunma Paz University, 1-7-1 Tonyamachi, Takasaki, Gunma, 370-0006, Japan.
Toshihiro SakuraiFaculty of Health Sciences, Hokkaido University, Sapporo, 060-0808, Japan.
Zhen ChenFaculty of Health Sciences, Hokkaido University, Sapporo, 060-0808, Japan.
Rojeet ShresthaPatients Choice Laboratories, 7026 Corporate Dr, Indianapolis, IN, 46278, USA.
Sota KatoFaculty of Health Sciences, Hokkaido University, Sapporo, 060-0808, Japan.
Emiko OkadaNational Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan.
Shigekazu UkawaResearch Unit of Advanced Interdisciplinary Care Science, Osaka City University Graduate School of Human Life Science, Osaka, 558-8585, Japan.
Takafumi NakagawaThe Hokkaido Centre for Family Medicine, Sapporo, 007-0841, Japan.
Koshi NakamuraGraduate School of Medicine, University of the Ryukyus, Nishihara, Okinawa, 903-0215, Japan.
Akiko TamakoshiFaculty of Medicine, Hokkaido University, Sapporo, 060-8638, Japan.
Hitoshi ChibaDepartment of Nutrition, Sapporo University of Health Sciences, Sapporo, 007-0894, Japan.
Hideyuki ImaiFaculty of Information Science and Technology, Computer Science and Information Technology Mathematical Science, Hokkaido University, Sapporo, 060-0814, Japan.
Hiroyuki MinamiInformation Initiative Center, Hokkaido University, Sapporo, 060-0811, Japan.
Masahiro MizutaInformation Initiative Center, Hokkaido University, Sapporo, 060-0811, Japan.
Shu-Ping HuiFaculty of Health Sciences, Hokkaido University, Sapporo, 060-0808, Japan. keino@hs.hokudai.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Food AnalysisChromatography, GasFactor Analysis, StatisticalFatty AcidsHumansFatty Acids

Identifiers

PMID34548525
PMCPMC8455623

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.