Evidence map›Paper›PMID 29165113›Full record

ArticleEnvironmental health and preventive medicine2017

Alteration in plasma free amino acid levels and its association with gout.

M H Mahbub, Natsu Yamaguchi, Hidekazu Takahashi, Ryosuke Hase, Hiroki Amano, Mikiko Kobayashi-Miura, Hideyuki Kanda, Yasuyuki Fujita, Hiroshi Yamamoto, Mai Yamamoto and 7 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

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  19. Why Not Glycine Electrochemical Biosensors?Sensors (Basel, Switzerland) · 2020
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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

17 authors at 4 institutions in 1 country.

M H MahbubDepartment of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Natsu YamaguchiDepartment of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Hidekazu TakahashiDepartment of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Ryosuke HaseDepartment of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, 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, Shimane University Faculty of Medicine, Izumo, Japan.
Yasuyuki FujitaDepartment of Environmental Medicine and Public Health, Shimane University Faculty of Medicine, 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.
Naoko KageyamaInstitute for Innovation, Ajinomoto Co. Inc, Kawasaki, Japan.
Mina NakamuraInstitute for Innovation, Ajinomoto Co. Inc, Kawasaki, Japan.
Yasutaka IshimaruDepartment of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Hiroshi SunagawaDepartment of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
Tsuyoshi TanabeDepartment of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan. tanabe@yamaguchi-u.ac.jp.ORCID http://orcid.org/0000-0003-3427-9890
Yamaguchi University · JPAjinomoto (Japan) · JPShimane University · JPTottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on the association of plasma-free amino acids with gout are very limited and produced conflicting results. Therefore, we sought to explore and characterize the plasma-free amino acid (PFAA) profile in patients with gout and evaluate its association with the latter.

methodsData from a total of 819 subjects (including 34 patients with gout) undergoing an annual health examination program in Shimane, Japan were considered for this study. Venous blood samples were collected from the subjects and concentrations of 19 plasma amino acids were determined by high-performance liquid chromatography-electrospray ionization-mass spectrometry. Student's t-test was applied for comparison of variables between patient and control groups. The relationships between the presence or absence of gout and individual amino acids were investigated by logistic regression analysis controlling for the effects of potential demographic confounders.

resultsAmong 19 amino acids, the levels of 10 amino acids (alanine, glycine, isoleucine, leucine, methionine, phenylalanine, proline, serine, tryptophan, valine) differed significantly (P < .001 to .05) between the patient and control groups. Univariate logistic regression analysis revealed that plasma levels of alanine, isoleucine, leucine, phenylalanine, tryptophan and valine had significant positive associations (P < .005 to .05) whereas glycine and serine had significant inverse association (P < .05) with gout.

conclusionsThe observed significant changes in PFAA profiles may have important implications for improving our understanding of pathophysiology, diagnosis and prevention of gout. The findings of this study need further confirmation in future large-scale studies involving a larger number of patients with gout.

Indexed as

AgedAge FactorsAlcohol DrinkingAmino AcidsBody Mass IndexChromatography, High Pressure LiquidFemaleGoutHumansJapanMaleRegression AnalysisSex FactorsSmokingSpectrometry, Mass, Electrospray IonizationAmino AcidsAmino acidsGoutPlasmaProfileRelationship

Identifiers

PMID29165113
PMCPMC5664792
OpenAlexW2597385654

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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.