Evidence map›Paper›PMID 31244929›Full record

ArticleTheranostics2019

Imaging fibrosis in inflammatory diseases: targeting the exposed extracellular matrix.

Nicolas Beziere, Kerstin Fuchs, Andreas Maurer, Gerald Reischl, Jürgen Brück, Kamran Ghoreschi, Birgit Fehrenbacher, Daniel Carvajal Berrio, Katja Schenke-Layland, Ursula Kohlhofer and 4 more

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Radiolabeled GPVI-Fc for PET Imaging of Multiple Extracellular Matrix Fibers: A New Look into Pulmonary Fibrosis Progression.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
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 3 institutions in 2 countries.

Nicolas BeziereWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Kerstin FuchsWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Andreas MaurerWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Gerald ReischlWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Jürgen BrückDepartment of Dermatology, University Medical Center, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Kamran GhoreschiDepartment of Dermatology, University Medical Center, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Birgit FehrenbacherDepartment of Dermatology, University Medical Center, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Daniel Carvajal BerrioDepartment of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, 72074 Tübingen, Germany.
Katja Schenke-LaylandDepartment of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, 72074 Tübingen, Germany.
Ursula KohlhoferInstitute of Pathology, University Hospital Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Leticia Quintanilla-MartinezInstitute of Pathology, University Hospital Tübingen, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Meinrad GawazDepartment of Cardiology and Cardiovascular Medicine, University Hospital Tübingen, University of Tübingen, 72076 Tübingen, Germany.
Manfred KneillingWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
Bernd PichlerWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany.
University of Tübingen · DESiemens (Germany) · DENatural and Medical Sciences Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a variety of diseases, from benign to life-threatening ones, inflammation plays a major role. Monitoring the intensity and extent of a multifaceted inflammatory process has become a cornerstone in diagnostics and therapy monitoring. However, the current tools lack the ability to provide insight into one of its most crucial aspects, namely, the alteration of the extracellular matrix (ECM). Using a radiolabeled platelet glycoprotein VI-based ECM-targeting fusion protein (GPVI-Fc), we investigated how binding of GPVI-Fc on fibrous tissue could uncover the progression of several inflammatory disease models at different stages (rheumatoid arthritis, cutaneous delayed-type hypersensitivity, lung inflammation and experimental autoimmune encephalomyelitis).

Indexed as

AnimalsArthritis, RheumatoidCopper RadioisotopesDermatitisDisease Models, AnimalEncephalomyelitis, Autoimmune, ExperimentalExtracellular MatrixFibrosisGlycoproteinsHeterocyclic Compounds, 1-RingImmunoglobulin Fc FragmentsMice, Inbred C57BLPneumoniaPositron-Emission TomographySensitivity and SpecificityStaining and Labeling1,4,7-triazacyclononane-N,N',N''-triacetic acidCopper RadioisotopesGlycoproteinsHeterocyclic Compounds, 1-RingImmunoglobulin Fc FragmentsRevaceptfibrosisglycoprotein VIpositron emission tomography

Identifiers

PMID31244929
PMCPMC6568181
OpenAlexW2939419765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.