Evidence map›Paper›PMID 25098555›Full record

ArticleNature communications2014

Alarmin S100A8/S100A9 as a biomarker for molecular imaging of local inflammatory activity.

Thomas Vogl, Michel Eisenblätter, Tom Völler, Stefanie Zenker, Sven Hermann, Peter van Lent, Andreas Faust, Christiane Geyer, Beatrix Petersen, Kirsten Roebrock and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

107 citing papers in PubMed, 193 citations in OpenAlex.

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47 more citing papers are in PubMed but not listed here.

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 3 institutions in 3 countries.

Thomas Vogl1] Institute of Immunology, University of Münster, 48149 Münster, Germany [2] Interdisciplinary Centre for Clinical Research, University of Münster, 48149 Münster, Germany [3].
Michel Eisenblätter1] Division of Imaging Sciences and Biomedical Engineering, King's College London, London SE1 7EH, UK [2] Department of Clinical Radiology, University of Münster, 48149 Münster, Germany [3].
Tom VöllerInstitute of Immunology, University of Münster, 48149 Münster, Germany.
Stefanie ZenkerInstitute of Immunology, University of Münster, 48149 Münster, Germany.
Sven Hermann1] Interdisciplinary Centre for Clinical Research, University of Münster, 48149 Münster, Germany [2] European Institute for Molecular Imaging, University of Münster, 48149 Münster, Germany.
Peter van LentDepartment of Rheumatology, Radboud University Medical Centre, 6500 HB Nijmegen, The Netherlands.
Andreas FaustEuropean Institute for Molecular Imaging, University of Münster, 48149 Münster, Germany.
Christiane Geyer1] Interdisciplinary Centre for Clinical Research, University of Münster, 48149 Münster, Germany [2] Department of Clinical Radiology, University of Münster, 48149 Münster, Germany.
Beatrix PetersenInstitute of Immunology, University of Münster, 48149 Münster, Germany.
Kirsten Roebrock1] Institute of Immunology, University of Münster, 48149 Münster, Germany [2] Interdisciplinary Centre for Clinical Research, University of Münster, 48149 Münster, Germany.
Michael Schäfers1] European Institute for Molecular Imaging, University of Münster, 48149 Münster, Germany [2] Cluster of Excellence EXC 1003 'Cells in Motion - CiM', University of Münster, 48149 Münster, Germany.
Christoph Bremer1] Interdisciplinary Centre for Clinical Research, University of Münster, 48149 Münster, Germany [2] Department of Radiology, St Franziskus Hospital Münster, 48145 Münster, Germany.
Johannes Roth1] Institute of Immunology, University of Münster, 48149 Münster, Germany [2] Interdisciplinary Centre for Clinical Research, University of Münster, 48149 Münster, Germany [3] Cluster of Excellence EXC 1003 'Cells in Motion - CiM', University of Münster, 48149 Münster, Germany.
University of Münster · DEKing's College London · GBRadboud University Nijmegen · NL

Funding

Cancer Research UK 16463Cancer Research UK C1519/A6906Department of HealthMedical Research Council MR/L001640/1
6 · The paper itself

Abstract

Inflammation has a key role in the pathogenesis of various human diseases. The early detection, localization and monitoring of inflammation are crucial for tailoring individual therapies. However, reliable biomarkers to detect local inflammatory activities and to predict disease outcome are still missing. Alarmins, which are locally released during cellular stress, are early amplifiers of inflammation. Here, using optical molecular imaging, we demonstrate that the alarmin S100A8/S100A9 serves as a sensitive local and systemic marker for the detection of even sub-clinical disease activity in inflammatory and immunological processes like irritative and allergic contact dermatitis. In a model of collagen-induced arthritis, we use S100A8/S100A9 imaging to predict the development of disease activity. Furthermore, S100A8/S100A9 can act as a very early and sensitive biomarker in experimental leishmaniasis for phagocyte activation linked to an effective Th1-response. In conclusion, the alarmin S100A8/S100A9 is a valuable and sensitive molecular target for novel imaging approaches to monitor clinically relevant inflammatory disorders on a molecular level.

Indexed as

AnimalsArthritisBiomarkersCalgranulin ACalgranulin BCarbocyaninesCollagenDermatitis, ContactFemaleFluorine RadioisotopesHypersensitivityInflammationLeishmaniasis, CutaneousMaleMiceMice, Inbred BALB CBiomarkersCalgranulin ACalgranulin BCarbocyaninesCollagenCY5.5 cyanine dyeFluorine RadioisotopesS100a8 protein, mouseS100A9 protein, mouse

Identifiers

PMID25098555
PMCPMC4143994
OpenAlexW1975466068

What OpenQuestion 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 OpenQuestion graph.