Evidence map›Paper›PMID 35479096›Full record

ArticleFrontiers in immunology2022

PEGylated Domain I of Beta-2-Glycoprotein I Inhibits Thrombosis in a Chronic Mouse Model of the Antiphospholipid Syndrome.

Rohan Willis, Thomas C R McDonnell, Charis Pericleous, Emilio B Gonzalez, Alvaro Schleh, Zurina Romay-Penabad, Ian P Giles, Anisur Rahman

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Animal models of antiphospholipid syndrome.Frontiers in immunology · 2026
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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

8 authors at 2 institutions in 2 countries.

Rohan WillisInternal Medicine, University of Texas Medical Branch, Galveston, TX, United States.
Thomas C R McDonnellCentre for Rheumatology Research, Division of Medicine, University College London, London, United Kingdom.
Charis PericleousCentre for Rheumatology Research, Division of Medicine, University College London, London, United Kingdom.
Emilio B GonzalezInternal Medicine, University of Texas Medical Branch, Galveston, TX, United States.
Alvaro SchlehInternal Medicine, University of Texas Medical Branch, Galveston, TX, United States.
Zurina Romay-PenabadInternal Medicine, University of Texas Medical Branch, Galveston, TX, United States.
Ian P GilesCentre for Rheumatology Research, Division of Medicine, University College London, London, United Kingdom.
Anisur RahmanCentre for Rheumatology Research, Division of Medicine, University College London, London, United Kingdom.
The University of Texas Medical Branch at Galveston · USUniversity College London · GB

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
Antiphospholipid antibodies and lupus: new molecular targets for treatmentR01AR056745 · NIAMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRASIER, ALLAN R., GONZALEZ, EMILIO B · 2010 to 2014
$1.6M
Medical Research Council MR/P017371/1NCATS NIH HHS UL1 TR001439NIAMS NIH HHS R01 AR056745Versus Arthritis 21223
6 · The paper itself

Abstract

Antiphospholipid syndrome (APS) is an autoimmune disorder in which autoantibodies cause clinical effects of vascular thrombosis and pregnancy morbidity. The only evidence-based treatments are anticoagulant medications such as warfarin and heparin. These medications have a number of disadvantages, notably risk of haemorrhage. Therefore, there is a pressing need to develop new, more focused treatments that target the actual pathogenic disease process in APS. The pathogenic antibodies exert their effects by interacting with phospholipid-binding proteins, of which the most important is beta-2-glycoprotein I. This protein has five domains, of which the N-terminal Domain I (DI) is the main site for binding of pathogenic autoantibodies. We previously demonstrated bacterial expression of human DI and showed that this product could inhibit the ability of IgG from patients with APS (APS-IgG) to promote thrombosis in a mouse model. Since DI is a small 7kDa protein, its serum half-life would be too short to be therapeutically useful. We therefore used site-specific chemical addition of polyethylene glycol (PEG) to produce a larger variant of DI (PEG-DI) and showed that PEG-DI was equally effective as the non-PEGylated DI in inhibiting thrombosis caused by passive transfer of APS-IgG in mice. In this paper, we have used a mouse model that reflects human APS much more closely than the passive transfer of APS-IgG. In this model, the mice are immunized with human beta-2-glycoprotein I and develop endogenous anti-beta-2-glycoprotein I antibodies. When submitted to a pinch stimulus at the femoral vein, these mice develop clots. Our results show that PEG-DI inhibits production of thromboses in this model and also reduces expression of tissue factor in the aortas of the mice. No toxicity was seen in mice that received PEG-DI. Therefore, these results provide further evidence supporting possible efficacy of PEG-DI as a potential treatment for APS.

Indexed as

Antiphospholipid SyndromeThrombosisAnimalsAntibodies, AntiphospholipidAutoantibodiesbeta 2-Glycoprotein IDisease Models, AnimalHumansImmunoglobulin GMicePolyethylene GlycolsAntibodies, AntiphospholipidAutoantibodiesbeta 2-Glycoprotein IImmunoglobulin GPolyethylene Glycolsantiphospholipid syndromebeta-2-glycoprotein Idomain IPEGylationthrombosis

Identifiers

PMID35479096
PMCPMC9035797
OpenAlexW4223563298

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.