Evidence map›Paper›PMID 29165132›Full record

ArticleEnvironmental health and preventive medicine2017

Plasma free amino acid profiles evaluate risk of metabolic syndrome, diabetes, dyslipidemia, and hypertension in a large Asian population.

Natsu Yamaguchi, M H Mahbub, Hidekazu Takahashi, Ryosuke Hase, Yasutaka Ishimaru, Hiroshi Sunagawa, Hiroki Amano, Mikiko Kobayashi-Miura, Hideyuki Kanda, Yasuyuki Fujita and 8 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

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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

18 authors at 4 institutions in 1 country.

Natsu YamaguchiDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
M H MahbubDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Hidekazu TakahashiDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Ryosuke HaseDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Yasutaka IshimaruDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Hiroshi SunagawaDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Hiroki AmanoDivision of Health Administration and Promotion, Graduate School of Medicine, Tottori University, Yonago, Japan.
Mikiko Kobayashi-MiuraDepartment of Biochemistry, Shimane University Faculty of Medicine, Izumo, Japan.
Hideyuki KandaDepartment of Environmental Medicine and Public Health, Faculty of Medicine, Shimane University, Izumo, Japan.
Yasuyuki FujitaDepartment of Environmental Medicine and Public Health, Faculty of Medicine, Shimane University, Izumo, Japan.
Hiroshi YamamotoInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Japan.
Mai YamamotoInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Japan.
Shinya KikuchiInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Japan.
Atsuko IkedaInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Japan.
Mariko TakasuInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Japan.
Naoko KageyamaInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Japan.
Mina NakamuraInstitute for Innovation, Ajinomoto Co., Inc., Kawasaki, Japan.
Tsuyoshi TanabeDepartment of Public Health and Preventive Medicine, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan. tanabe@yamaguchi-u.ac.jp.
Ajinomoto (Japan) · JPYamaguchi University · JPShimane University · JPTottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, the association of plasma free amino acid (PFAA) profile and lifestyle-related diseases has been reported. However, few studies have been reported in large Asian populations, about the usefulness of PFAAs for evaluating disease risks. We examined the ability of PFAA profiles to evaluate lifestyle-related diseases in so far the largest Asian population.

methodsWe examined plasma concentrations of 19 amino acids in 8589 Japanese subjects, and determined the association with variables associated with obesity, blood glucose, lipid, and blood pressure. We also evaluated the PFAA indexes that reflect visceral fat obesity and insulin resistance. The contribution of single PFAA level and relevant PFAA indexes was also examined in the risk assessment of lifestyle-related diseases.

resultsOf the 19 amino acids, branched-chain amino acids and aromatic amino acids showed association with obesity and lipid variables. The PFAA index related to visceral fat obesity showed relatively higher correlation with variables than that of any PFAA. In the evaluation of lifestyle-related disease risks, the odds ratios of the PFAA index related to visceral fat obesity or insulin resistance with the diseases were higher than most of those of individual amino acid levels even after adjusting for potential confounding factors. The association pattern of the indexes and PFAA with each lifestyle-related disease was distinct.

conclusionsWe confirmed the usefulness of PFAA profiles and indexes as markers for evaluating the risks of lifestyle-related diseases, including diabetes mellitus, metabolic syndrome, dyslipidemia, and hypertension in a large Asian population.

Indexed as

AdultAgedAmino AcidsAsian PeopleBiomarkersBlood GlucoseBlood PressureBody Mass IndexDiabetes Mellitus, Type 2DyslipidemiasFemaleHumansHypertensionJapanLipidsMaleAmino AcidsBiomarkersBlood GlucoseLipidsAmino acidsDiabetes mellitusDyslipidemiaHypertensionLifestyle-related diseasesMetabolic syndrome

Identifiers

PMID29165132
PMCPMC5664911
OpenAlexW2604466564

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LicenceCC BY
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Registered trials

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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.