Evidence map›Paper›PMID 38739622›Full record

ArticlePloS one2024

A study protocol to characterise pathophysiological and molecular markers of rheumatic heart disease and degenerative aortic stenosis using multiparametric cardiovascular imaging and multiomics techniques.

Daniel W Mutithu, Olukayode O Aremu, Dipolelo Mokaila, Tasnim Bana, Mary Familusi, Laura Taylor, Lorna J Martin, Laura J Heathfield, Jennifer A Kirwan, Lubbe Wiesner and 6 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Daniel W MutithuDepartment of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-8587-0416
Olukayode O AremuDepartment of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa.
Dipolelo MokailaDepartment of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa.
Tasnim BanaDepartment of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa.
Mary FamilusiDivision of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.
Laura TaylorDivision of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-0936-7314
Lorna J MartinDivision of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-1231-7932
Laura J HeathfieldDivision of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Jennifer A KirwanMetabolomics Platform, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-5423-1651
Lubbe WiesnerDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-9070-8699
Henry A AdeolaDivision of Dermatology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Evelyn N LumngwenaDepartment of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-9302-8218
Rodgers ManganyiChris Barnard Division of Cardiothoracic Surgery, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.
Sebastian SkatullaDepartment of Civil Engineering, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-1061-3356
Richard NaidooDivision of Anatomical Pathology, Department of Pathology, University of Cape Town and National Health Laboratory Service, Cape Town, South Africa.
Ntobeko A B NtusiDepartment of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRheumatic heart disease (RHD), degenerative aortic stenosis (AS), and congenital valve diseases are prevalent in sub-Saharan Africa. Many knowledge gaps remain in understanding disease mechanisms, stratifying phenotypes, and prognostication. Therefore, we aimed to characterise patients through clinical profiling, imaging, histology, and molecular biomarkers to improve our understanding of the pathophysiology, diagnosis, and prognosis of RHD and AS.

methodsIn this cross-sectional, case-controlled study, we plan to recruit RHD and AS patients and compare them to matched controls. Living participants will undergo clinical assessment, echocardiography, CMR and blood sampling for circulatory biomarker analyses. Tissue samples will be obtained from patients undergoing valve replacement, while healthy tissues will be obtained from cadavers. Immunohistology, proteomics, metabolomics, and transcriptome analyses will be used to analyse circulatory- and tissue-specific biomarkers. Univariate and multivariate statistical analyses will be used for hypothesis testing and identification of important biomarkers. In summary, this study aims to delineate the pathophysiology of RHD and degenerative AS using multiparametric CMR imaging. In addition to discover novel biomarkers and explore the pathomechanisms associated with RHD and AS through high-throughput profiling of the tissue and blood proteome and metabolome and provide a proof of concept of the suitability of using cadaveric tissues as controls for cardiovascular disease studies.

Indexed as

Aortic Valve StenosisBiomarkersRheumatic Heart DiseaseCase-Control StudiesCross-Sectional StudiesEchocardiographyFemaleHumansMagnetic Resonance ImagingMaleMetabolomicsMultiomicsProteomicsBiomarkers

Identifiers

PMID38739622
PMCPMC11090351

What Socratic holds

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LicenceCC BY
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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 Socratic graph.