Evidence map›Paper›PMID 30830369›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Detection of potential new biomarkers of atherosclerosis by probe electrospray ionization mass spectrometry.

Hisashi Johno, Kentaro Yoshimura, Yuki Mori, Tokuhide Kimura, Manabu Niimi, Masaki Yamada, Tetsuo Tanigawa, Jianglin Fan, Sen Takeda

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 27 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

9 authors at 2 institutions in 1 country.

Hisashi JohnoDepartment of Anatomy and Cell Biology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan.
Kentaro YoshimuraDepartment of Anatomy and Cell Biology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan. kyoshimura@yamanashi.ac.jp.
Yuki MoriDepartment of Anatomy and Cell Biology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan.
Tokuhide KimuraDepartment of Molecular Pathology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan.
Manabu NiimiDepartment of Molecular Pathology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan.
Masaki YamadaAnalytical and Measuring Instruments Division, Global Application Development Center, Shimadzu Corporation, Kyoto, 604-8511, Japan.
Tetsuo TanigawaAnalytical and Measuring Instruments Division, Global Application Development Center, Shimadzu Corporation, Kyoto, 604-8511, Japan.
Jianglin FanDepartment of Molecular Pathology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan.
Sen TakedaDepartment of Anatomy and Cell Biology, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, 409-3898, Japan. stakeda@yamanashi.ac.jp.
University of Yamanashi · JPShimadzu (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAtherosclerotic diseases are the leading cause of death worldwide. Biomarkers of atherosclerosis are required to monitor and prevent disease progression. While mass spectrometry is a promising technique to search for such biomarkers, its clinical application is hampered by the laborious processes for sample preparation and analysis.

methodsWe developed a rapid method to detect plasma metabolites by probe electrospray ionization mass spectrometry (PESI-MS), which employs an ambient ionization technique enabling atmospheric pressure rapid mass spectrometry. To create an automatic diagnosis system of atherosclerotic disorders, we applied machine learning techniques to the obtained spectra.

resultsUsing our system, we successfully discriminated between rabbits with and without dyslipidemia. The causes of dyslipidemia (genetic lipoprotein receptor deficiency or dietary cholesterol overload) were also distinguishable by this method. Furthermore, after induction of atherosclerosis in rabbits with a cholesterol-rich diet, we were able to detect dynamic changes in plasma metabolites. The major metabolites detected by PESI-MS included cholesterol sulfate and a phospholipid (PE18:0/20:4), which are promising new biomarkers of atherosclerosis.

conclusionWe developed a remarkably fast and easy method to detect potential new biomarkers of atherosclerosis in plasma using PESI-MS.

Indexed as

MetabolomicsAnimalsAtherosclerosisBiomarkersCholesterol EstersChromatography, LiquidMachine LearningPhospholipidsRabbitsSpectrometry, Mass, Electrospray IonizationBiomarkersCholesterol Esterscholesteryl sulfatePhospholipidsAtherosclerosisBlood plasmaDyslipidemiaMachine learningProbe electrospray ionization mass spectrometry

Identifiers

PMID30830369
OpenAlexW2791387024

What OpenQuestion holds

Textmetadata
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.