Evidence map›Paper›PMID 35628155›Full record

ArticleInternational journal of molecular sciences2022

CARS Imaging Advances Early Diagnosis of Cardiac Manifestation of Fabry Disease.

Elen Tolstik, Nairveen Ali, Shuxia Guo, Paul Ebersbach, Dorothe Möllmann, Paula Arias-Loza, Johann Dierks, Irina Schuler, Erik Freier, Jörg Debus and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
2.1field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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 at 5 institutions in 1 country.

Elen TolstikLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Str. 11, 44139 Dortmund, Germany.ORCID 0000-0003-0873-4335
Nairveen AliLeibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.ORCID 0000-0001-5213-9651
Shuxia GuoLeibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.
Paul EbersbachLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Str. 11, 44139 Dortmund, Germany.
Dorothe MöllmannInstitute of Pathology, University Hospital Essen, Hufelandstr. 55, 45147 Essen, Germany.
Paula Arias-LozaDepartment of Nuclear Medicine, Oberdürrbacher Str. 6, 97080 Wuerzburg, Germany.ORCID 0000-0003-4048-4719
Johann DierksLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Str. 11, 44139 Dortmund, Germany.
Irina SchulerLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Str. 11, 44139 Dortmund, Germany.ORCID 0000-0003-4791-3512
Erik FreierLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Str. 11, 44139 Dortmund, Germany.ORCID 0000-0002-0559-4210
Jörg DebusDepartment of Physics, TU Dortmund University, Otto-Hahn-Str. 4a, 44227 Dortmund, Germany.ORCID 0000-0002-8678-4402
Hideo A BabaInstitute of Pathology, University Hospital Essen, Hufelandstr. 55, 45147 Essen, Germany.
Peter NordbeckDepartment of Internal Medicine I, University of Würzburg, Oberdürrbacher Str. 6, 97080 Wuerzburg, Germany.ORCID 0000-0002-2560-4068
Thomas BocklitzLeibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.ORCID 0000-0003-2778-6624
Kristina LorenzLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Str. 11, 44139 Dortmund, Germany.ORCID 0000-0002-5747-2207
Leibniz Institute for Analytical Sciences - ISAS · DELeibniz Institute of Photonic Technology · DEEssen University Hospital · DEUniversity of Würzburg · DETU Dortmund University · DE

Funding

Deutsche Forschungsgemeinschaft SFB1525 (453989101) and SFB/TR 296 (424957847)Drug Discovery Hub Dortmund (DDHD) DDHDEuropean Union's Horizon 2020, CRIMSON project innovation programme No. 101016923Federal Ministry of Education and Research ChinValue (03INT703AB), ERK-Casting (16GW0262K)
6 · The paper itself

Abstract

Vibrational spectroscopy can detect characteristic biomolecular signatures and thus has the potential to support diagnostics. Fabry disease (FD) is a lipid disorder disease that leads to accumulations of globotriaosylceramide in different organs, including the heart, which is particularly critical for the patient's prognosis. Effective treatment options are available if initiated at early disease stages, but many patients are late- or under-diagnosed. Since Coherent anti-Stokes Raman (CARS) imaging has a high sensitivity for lipid/protein shifts, we applied CARS as a diagnostic tool to assess cardiac FD manifestation in an FD mouse model. CARS measurements combined with multivariate data analysis, including image preprocessing followed by image clustering and data-driven modeling, allowed for differentiation between FD and control groups. Indeed, CARS identified shifts of lipid/protein content between the two groups in cardiac tissue visually and by subsequent automated bioinformatic discrimination with a mean sensitivity of 90-96%. Of note, this genotype differentiation was successful at a very early time point during disease development when only kidneys are visibly affected by globotriaosylceramide depositions. Altogether, the sensitivity of CARS combined with multivariate analysis allows reliable diagnostic support of early FD organ manifestation and may thus improve diagnosis, prognosis, and possibly therapeutic monitoring of FD.

Indexed as

Fabry DiseaseAnimalsEarly DiagnosisHumansLipidsMiceMicroscopySpectrum Analysis, RamanLipidscardiovascular diseasescoherent anti-Stokes Raman scattering (CARS) microscopyFabry Disease (FD)Gb3 and lyso-Gb3 biomarkersimmunohistochemistrymultivariate data analysisRaman micro-spectroscopy

Identifiers

PMID35628155
PMCPMC9142043
OpenAlexW4280530986

What OpenQuestion holds

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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.