Evidence map›Paper›PMID 41950884›Full record

ReviewCurrent opinion in immunology2026

β

Suresh Kumar, Nathan Ponzar, Nicola Pozzi

Abstract readReview
In one paragraph

Review in Current opinion in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Suresh KumarEdward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104, United States.
Nathan PonzarEdward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104, United States.
Nicola PozziEdward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104, United States. Electronic address: nicola.pozzi@health.slu.edu.

Funding

Structural Studies of Beta-2 glycoprotein I in the Antiphospholipid SyndromeR01HL150146 · NHLBI · SAINT LOUIS UNIVERSITY · PI POZZI, NICOLA · 2020 to 2024
$2.0M
Introducing NanoProTEN, a novel approach for anticoagulation in patients with prothrombotic autoantibodiesR21HL173848 · NHLBI · SAINT LOUIS UNIVERSITY · PI POZZI, NICOLA · 2024 to 2025
$417k
NHLBI NIH HHS R01 HL150146NHLBI NIH HHS R21 HL173848
6 · The paper itself

Abstract

Identified in the 1990s as the primary target of antiphospholipid antibodies (aPL) in antiphospholipid syndrome (APS), β2-glycoprotein I (β2GPI) remains a central focus in hematology and immunology. Anti-β2GPI antibodies are important not only for diagnosing APS but also play a key role in causing thrombosis and pregnancy complications in these patients. Elucidating the molecular basis of antibody-β2GPI interactions is therefore critical for advancing APS research and has broad implications for understanding related thrombotic autoimmune disorders. In this review, we summarize recent progress on the structural biology of β2GPI, discuss mechanisms of autoantibody recognition, and provide an update on genetic polymorphisms. By resolving longstanding controversies and uncovering new regulatory principles, structural insights are paving the way for targeted approaches aimed at selectively neutralizing pathogenic autoantibodies without broadly impairing coagulation or immune function, offering promising paths toward transformative APS therapies.

Indexed as

Antiphospholipid SyndromeAutoantibodiesbeta 2-Glycoprotein IPolymorphism, GeneticAnimalsAntibodies, AntiphospholipidHumansProtein ConformationAntibodies, AntiphospholipidAutoantibodiesbeta 2-Glycoprotein I

Identifiers

PMID41950884
PMCPMC13181727

What Socratic 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 Socratic graph.