Evidence map›Paper›PMID 39769427›Full record

ArticleInternational journal of molecular sciences2024

Identification of Protein Networks and Biological Pathways Driving the Progression of Atherosclerosis in Human Carotid Arteries Through Mass Spectrometry-Based Proteomics.

Gergő Kalló, Khadiza Zaman, László Potor, Zoltán Hendrik, Gábor Méhes, Csaba Tóth, Péter Gergely, József Tőzsér, György Balla, József Balla and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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.

Gergő KallóProteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-5732-8758
Khadiza ZamanDepartment of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX 76107, USA.ORCID 0000-0003-4876-765X
László PotorHUN-REN-DE Vascular Pathophysiology Research Group 11003, University of Debrecen, 4032 Debrecen, Hungary.
Zoltán HendrikDepartment of Forensic Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0001-8546-2148
Gábor MéhesDepartment of Pathology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Csaba TóthDivision of Vascular Surgery, Department of Surgery, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Péter GergelyDepartment of Forensic Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-0437-4072
József TőzsérProteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0001-5076-8729
György BallaDepartment of Pediatrics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
József BallaHUN-REN-DE Vascular Pathophysiology Research Group 11003, University of Debrecen, 4032 Debrecen, Hungary.
Laszlo ProkaiProteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-4559-3458
Éva CsőszProteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0003-4373-2175

Funding

European Union GINOP-2.3.2-15-2016-00043European Union GINOP-2.3.2-15-2016-00044Hungarian Academy of Sciences 2022 Distinguished Guest Scientist ProgrammeHungarian Government NKFIH FK 134605Hungarian Government OTKA-K-132828HUN-REN-DE Vascular Pathophysiology Research Group 11003Robert A. Welch Foundation BK-0031Thematic Excellence Programme of the Hungarian Ministry for Innovation and Technology TKP2020-NKA-04Thematic Excellence Programme of the Hungarian Ministry for Innovation and Technology TKP2021-EGA-18University of Debrecen Space Sciences Thematic Program
6 · The paper itself

Abstract

Vulnerable atherosclerotic plaques, especially hemorrhaged lesions, are the major cause of mortalities related to vascular pathologies. The early identification of vulnerable plaques helps to stratify patients at risk of developing acute vascular events. In this study, proteomics analyses of human carotid artery samples collected from patients with atheromatous plaques and complicated lesions, respectively, as well as from healthy controls were performed. The proteins isolated from the carotid artery samples were analyzed by a bottom-up shotgun approach that relied on nanoflow liquid chromatography-tandem mass spectrometry analyses (LC-MS/MS) using both data-dependent (DDA) and data-independent (DIA) acquisitions. The data obtained by high-resolution DIA analyses displayed a stronger distinction among groups compared to DDA analyses. Differentially expressed proteins were further examined using Ingenuity Pathway Analysis

Indexed as

AtherosclerosisProteomicsTandem Mass SpectrometryAgedCarotid ArteriesCarotid Artery DiseasesChromatography, LiquidDisease ProgressionFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticProtein Interaction MapsProteomeSignal TransductionProteomeatherosclerosisbioinformaticscanonical pathwayscomplicated lesiondata-dependent LC–MS/MSdata-independent LC–MS/MShuman carotid arteryprotein–protein interaction networksquantitative label-free proteomics

Identifiers

PMID39769427
PMCPMC11728284

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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.