Evidence map›Paper›PMID 29907817›Full record

Trial reportScientific reports2018

Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis.

Santosh D Bhosale, Robert Moulder, Mikko S Venäläinen, Juhani S Koskinen, Niina Pitkänen, Markus T Juonala, Mika A P Kähönen, Terho J Lehtimäki, Jorma S A Viikari, Laura L Elo and 3 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.6field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  3. Distinct plasma protein profiles after long-term remission of Cushing's disease.The Journal of clinical endocrinology and metabolism · 2026
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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

13 authors at 5 institutions in 2 countries.

Santosh D BhosaleTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
Robert MoulderTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0003-4742-0566
Mikko S VenäläinenTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0003-1777-4259
Juhani S KoskinenDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland.ORCID 0000-0002-5920-9728
Niina PitkänenResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Markus T JuonalaDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland.
Mika A P KähönenDepartment of Clinical Physiology, Tampere University Hospital and University of Tampere, Faculty of Medicine, Tampere, Finland.
Terho J LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
Jorma S A ViikariDepartment of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland.
Laura L EloTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
David R GoodlettTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
Riitta LahesmaaTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland. rilahes@utu.fi.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland. olli.raitakari@utu.fi.
Åbo Akademi University · FIUniversity of Turku · FITampere University · FITampere University Hospital · FIUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the presence of serum protein biomarkers associated with the early phases of formation of carotid atherosclerotic plaques, label-free quantitative proteomics analyses were made for serum samples collected as part of The Cardiovascular Risk in Young Finns Study. Samples from subjects who had an asymptomatic carotid artery plaque detected by ultrasound examination (N = 43, Age = 30-45 years) were compared with plaque free controls (N = 43) (matched for age, sex, body weight and systolic blood pressure). Seven proteins (p < 0.05) that have been previously linked with atherosclerotic phenotypes were differentially abundant. Fibulin 1 proteoform C (FBLN1C), Beta-ala-his-dipeptidase (CNDP1), Cadherin-13 (CDH13), Gelsolin (GSN) and 72 kDa type IV collagenase (MMP2) were less abundant in cases, whereas Apolipoproteins C-III (APOC3) and apolipoprotein E (APOE) were more abundant. Using machine learning analysis, a biomarker panel of FBLN1C, APOE and CDH13 was identified, which classified cases from controls with an area under receiver-operating characteristic curve (AUROC) value of 0.79. Furthermore, using selected reaction monitoring mass spectrometry (SRM-MS) the decreased abundance of FBLN1C was verified. In relation to previous associations of FBLN1C with atherosclerotic lesions, the observation could reflect its involvement in the initiation of the plaque formation, or represent a particular risk phenotype.

Indexed as

AdultBlood ProteinsCarotid Artery DiseasesFemaleFinlandHumansMaleMiddle AgedPlaque, AtheroscleroticProteomeProteomicsUltrasonographyBlood ProteinsProteome

Identifiers

PMID29907817
PMCPMC6003912
OpenAlexW2808691693

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.