Evidence map›Paper›PMID 35298626›Full record

ArticleBlood advances2022

Dissecting platelet proteomics to understand the pathophysiology of immune thrombocytopenia: studies in mouse models.

Patricia Martínez-Botía, Marjolein Meinders, Iris M De Cuyper, Johannes A Eble, John W Semple, Laura Gutiérrez

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2022. 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
2.4field-weighted citation impact, top 10% 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, 16 citations in OpenAlex.

  1. Guideline
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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

6 authors at 5 institutions in 4 countries.

Patricia Martínez-BotíaPlatelet Research Laboratory, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.ORCID 0000-0002-9778-5945
Marjolein MeindersDepartment of Blood Cell Research, Sanquin Research and Landsteiner Laboratory, Amsterdam, The Netherlands.
Iris M De CuyperDepartment of Blood Cell Research, Sanquin Research and Landsteiner Laboratory, Amsterdam, The Netherlands.ORCID 0000-0001-8862-8000
Johannes A EbleInstitute of Physiological Chemistry and Pathobiochemistry, University of Münster, Münster, Germany.ORCID 0000-0001-9156-2137
John W SempleDivision of Hematology and Transfusion Medicine, Lund University, Lund, Sweden.ORCID 0000-0002-1510-0077
Laura GutiérrezPlatelet Research Laboratory, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.ORCID 0000-0001-8443-900X
Sanquin · NLInstituto de Investigación Sanitaria del Principado de Asturias · ESLund University · SEUniversidad de Oviedo · ESUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune thrombocytopenia (ITP) is an autoimmune disease characterized by enhanced platelet clearance and defective platelet production. Diagnosis by exclusion and trial-and-error treatment strategies is common practice, and despite the advancement in treatment options, many patients remain refractory. Although the existence of different pathophysiological entities is acknowledged, we are still far from stratifying and understanding ITP. To investigate, we sought to dissect the platelet proteome dynamics in so-called passive and active preclinical ITP mouse models, with which we propose to phenocopy respectively acute/newly diagnosed and persistent/chronic stages of ITP in humans. We obtained the platelet proteome at the thrombocytopenic stage and after platelet count recovery (reached naturally or by IVIg-treatment, depending on the model). Although most of the proteomic alterations were common to both ITP models, there were model-specific protein dynamics that accompanied and explained alterations in platelet aggregation responses, as measured in the passive ITP model. The expression dynamics observed in Syk may explain, extrapolated to humans and pending validation, the increased bleeding tendency of patients with ITP when treated with fostamatinib as third or later- as opposed to second line of treatment. We propose that the platelet proteome may give diagnostic and prognostic insights into ITP and that such studies should be pursued in humans.

Indexed as

Purpura, Thrombocytopenic, IdiopathicThrombocytopeniaAnimalsBlood PlateletsDisease Models, AnimalHumansMiceProteomeProteomicsProteome

Identifiers

PMID35298626
PMCPMC9198918
OpenAlexW4220751528

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.