Evidence map›Paper›PMID 37014422›Full record

ArticleJournal of neurology2023

Corneal confocal microscopy identifies corneal nerve loss and increased Langerhans cells in presymptomatic carriers and patients with hereditary transthyretin amyloidosis.

Andreas Thimm, Alexander Carpinteiro, Sara Oubari, Maria Papathanasiou, Lukas Kessler, Christoph Rischpler, Rayaz Ahmed Malik, Ken Herrmann, Hans Christian Reinhardt, Tienush Rassaf and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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 4 institutions in 3 countries.

Andreas ThimmDepartment of Neurology, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany. andreas.thimm@uk-essen.de.ORCID http://orcid.org/0000-0002-7806-9919
Alexander CarpinteiroDepartment of Hematology and Stem Cell Transplantation, West German Cancer Center, University Hospital Essen, Essen, Germany.
Sara OubariDepartment of Hematology and Stem Cell Transplantation, West German Cancer Center, University Hospital Essen, Essen, Germany.
Maria PapathanasiouDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, University Hospital Essen, Essen, Germany.
Lukas KesslerDepartment of Nuclear Medicine, University Hospital Essen, Essen, Germany.
Christoph RischplerDepartment of Nuclear Medicine, University Hospital Essen, Essen, Germany.
Rayaz Ahmed MalikInstitute of Cardiovascular Science, Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK.
Ken HerrmannDepartment of Nuclear Medicine, University Hospital Essen, Essen, Germany.
Hans Christian ReinhardtDepartment of Hematology and Stem Cell Transplantation, West German Cancer Center, University Hospital Essen, Essen, Germany.
Tienush RassafDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, University Hospital Essen, Essen, Germany.
Christoph KleinschnitzDepartment of Neurology, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany.
Tim Hagenacker *Department of Neurology, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany.
Mark Stettner *Department of Neurology, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany.
Essen University Hospital · DEWest German Heart and Vascular Center Essen · DEInstitute of Molecular Biology · DEUniversity of Manchester · GB

Funding

Universitätsmedizin Essen Clinician Scientist Academy FU 356/12-2
6 · The paper itself

Abstract

backgroundHereditary transthyretin amyloidosis (ATTRv amyloidosis) is a rare, but life-threatening protein misfolding disorder due to TTR gene mutations. Cardiomyopathy (ATTRv-CM) and polyneuropathy (ATTRv-PN) with early small nerve fibre involvement are the most common manifestations. Timely diagnosis and treatment initiation are key to limiting progression of disease. Corneal confocal microscopy (CCM) is a non-invasive method to quantify corneal small nerve fibres and immune cell infiltrates in vivo.

methodsThis cross-sectional study investigated the utility of CCM in 20 patients with ATTRv amyloidosis (ATTRv-CM, n = 6; ATTRv-PN, n = 14) and presymptomatic carriers (n = 5) compared to 20 age- and sex-matched healthy controls. Corneal nerve fibre density, corneal nerve fibre length, corneal nerve branch density, and cell infiltrates were assessed.

resultsCorneal nerve fibre density and nerve fibre length were significantly lower in patients with ATTRv amyloidosis compared to healthy controls regardless of the clinical phenotype (ATTRv-CM, ATTRv-PN) and corneal nerve fibre density was significantly lower in presymptomatic carriers. Immune cell infiltrates were only evident in patients with ATTRv amyloidosis, which correlated with reduced corneal nerve fibre density.

conclusionsCCM identifies small nerve fibre damage in presymptomatic carriers and symptomatic patients with ATTRv amyloidosis and may serve as a predictive surrogate marker to identify individuals at risk of developing symptomatic amyloidosis. Furthermore, increased corneal cell infiltration suggests an immune-mediated mechanism in the pathogenesis of amyloid neuropathy.

Indexed as

Amyloid Neuropathies, FamilialLangerhans CellsCross-Sectional StudiesHumansMicroscopy, ConfocalPrealbuminPrealbuminHereditary amyloidosisImmune cellsPADO conceptsiRNASmall fibre neuropathy

Identifiers

PMID37014422
PMCPMC10267010
OpenAlexW4362522109

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.