Evidence map›Paper›PMID 39323462›Full record

ArticleHealth science reports2024

Proteomic exploration of potential blood biomarkers in haemophilic arthropathy.

Nataša Kalebota, Ruđer Novak, Stela Hrkač, Porin Perić, Grgur Salai, Marko Močibob, Marija Pranjić, Zbyněk Zdráhal, Václav Pustka, Nadica Laktašić Žerjavić and 4 more

Abstract read
In one paragraph

Article in Health science reports, 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.

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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

14 authors.

Nataša KalebotaDepartment of Rheumatology and Rehabilitation University Hospital Centre Zagreb Zagreb Croatia.
Ruđer NovakCentre for Translational and Clinical Research, Department of Proteomics University of Zagreb, School of Medicine Zagreb Croatia.
Stela HrkačDepartment of Clinical Immunology Allergology and Rheumatology, University Hospital Dubrava Zagreb Croatia.
Porin PerićDepartment of Rheumatology and Rehabilitation University Hospital Centre Zagreb Zagreb Croatia.
Grgur SalaiDepartment of Pulmonology University Hospital Dubrava Zagreb Croatia.
Marko MočibobDepartment of Chemistry University of Zagreb, Faculty of Science Zagreb Croatia.
Marija PranjićDepartment of Chemistry University of Zagreb, Faculty of Science Zagreb Croatia.
Zbyněk ZdráhalCentral European Institute of Technology Masaryk University, Kamenice 5 Brno Czech Republic.
Václav PustkaCentral European Institute of Technology Masaryk University, Kamenice 5 Brno Czech Republic.
Nadica Laktašić ŽerjavićDepartment of Rheumatology and Rehabilitation University Hospital Centre Zagreb Zagreb Croatia.
Milan MiloševićAndrija Štampar School of Public Health University of Zagreb, School of Medicine Zagreb Croatia.
Marijo VodanovićDivision of Hematology, Department of Internal Medicine University Hospital Centre Zagreb Zagreb Croatia.
Silva Zupančić ŠalekDepartment of Hematology Clinical Hospital "Sv. Duh" Zagreb Croatia.
Lovorka GrgurevićCentre for Translational and Clinical Research, Department of Proteomics University of Zagreb, School of Medicine Zagreb Croatia.ORCID 0000-0002-9814-3178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The pathophysiology of haemophilic arthropathy (HA) is complex and largely undefined. Proteomic analyses provide insights into the intricate mechanisms of the HA.Our study aimed to identify differentially expressed proteins in relation to the severity of HA, explore their pathophysiological roles, and evaluate their potential as HA biomarkers. Methods: Our cross-sectional observational study encompassed 30 HA patients and 15 healthy subjects. Plasma samples were pooled into three groups of 15 samples from those with severe haemophilic arthropathy (sHA), mild haemophilic arthropathy (mHA) and healthy controls. Proteomic analysis was performed using liquid chromatography-mass spectrometry. The severity of HA was assessed using the World Federation of Haemophilia Physical Examination Score and ultrasonography following the Haemophilia Early Arthropathy Detection with Ultrasound (HEAD-US) guidelines. Results: A total of 788 proteins were identified, with 97% of the uniquely identified proteins being expressed in all analysed groups. We identified several up and downregulated proteins across the groups that were mainly related to inflammatory and immunity-modulating processes, as well as joint degeneration. We highlighted ten proteins relevant for the development of HA: cathepsin G, endoplasmic reticulum aminopeptidase 2, S100-A9, insulin-like growth factor I, apolipoprotein (a), osteopontin, pregnancy zone protein, cartilage oligomeric matrix protein, CD44, and cadherin-related family member 2. Conclusion: Our analysis identified several proteins that shed further light on the distinctive pathogenesis of HA and could serve for biomarker research. However, these results need to be validated on a larger patient group.

Indexed as

arthropathybiomarkershaemophiliapathophysiologyproteomics

Identifiers

PMID39323462
PMCPMC11423339

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