Evidence map›Paper›PMID 31983701›Full record

ArticleJournal of atherosclerosis and thrombosis2020

Identification of Plasma Inositol and Indoxyl Sulfate as Novel Biomarker Candidates for Atherosclerosis in Patients with Type 2 Diabetes. -Findings from Metabolome Analysis Using GC/MS.

Kazuo Omori, Naoto Katakami, Shoya Arakawa, Yuichi Yamamoto, Hiroyo Ninomiya, Mitsuyoshi Takahara, Taka-Aki Matsuoka, Hiroshi Tsugawa, Masahiro Furuno, Takeshi Bamba and 2 more

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Article in Journal of atherosclerosis and thrombosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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  7. Nutrients · 2022
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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

12 authors at 3 institutions in 1 country.

Kazuo OmoriDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Naoto KatakamiDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Shoya ArakawaLaboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University.
Yuichi YamamotoDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Hiroyo NinomiyaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Mitsuyoshi TakaharaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Taka-Aki MatsuokaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Hiroshi TsugawaRIKEN Center for Sustainable Resource Science, Yokohama.
Masahiro FurunoLaboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University.
Takeshi BambaDivision of Metabolomics, Medical Institute of Bioregulation, Kyushu University.
Eiichiro FukusakiLaboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University.
Iichiro ShimomuraDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Osaka University · JPKyushu University · JPRIKEN Center for Sustainable Resource Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAn identification of the high-risk group of atherosclerotic cardiovascular disease (CVD) is important in the management of patients with diabetes. Metabolomics is a potential tool for the discovery of new biomarkers. With this background, we aimed to identify metabolites associated with atherosclerosis in patients with type 2 diabetes mellitus (T2DM).

methodsA total of 176 patients with T2DM who have never had a CVD event and 40 who were survivors of coronary artery disease (CAD) events were enrolled. Non-targeted metabolome analysis of fasting plasma samples was performed using gas chromatography coupled with mass spectrometry (GC/MS) highly optimized for multiple measurement of blood samples. First, metabolites were screened by analyzing the association with the established markers of subclinical atherosclerosis (i.e., carotid maximal intima-media thickness (max-IMT) and flow-mediated vasodilation (FMD)) in the non-CVD subjects. Then, the associations between the metabolites detected and the history of CAD were investigated.

resultA total of 65 annotated metabolites were detected. Non-parametric univariate analysis identified inositol and indoxyl sulfate as significantly (p<0.05) associated with both max-IMT and FMD. These metabolites were also significantly associated with CAD. Moreover, inositol remained to be associated with CAD even after adjustments for traditional coronary risk factors.

conclusionsWe identified novel biomarker candidates for atherosclerosis in Japanese patients with T2DM using GC/MS-based non-targeted metabolomics.

Indexed as

AgedAtherosclerosisBiomarkersCarotid Intima-Media ThicknessCoronary Artery DiseaseDiabetes Mellitus, Type 2FemaleGas Chromatography-Mass SpectrometryHumansIndicanInositolJapanMaleMetabolomeMetabolomicsMiddle AgedBiomarkersIndicanInositolSolventsCoronary artery diseaseDiabetesFlow-mediated dilation (FMD)Intima-media thickness (IMT)Metabolomics

Identifiers

PMID31983701
PMCPMC7585911
OpenAlexW3001012889

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.