Evidence map›Paper›PMID 38474138›Full record

ArticleInternational journal of molecular sciences2024

Clinical and Molecular Characterization of Nine Novel Antithrombin Mutations.

Judit Kállai, Réka Gindele, Krisztina Pénzes-Daku, Gábor Balogh, Réka Bogáti, Bálint Bécsi, Éva Katona, Zsolt Oláh, Péter Ilonczai, Zoltán Boda and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Judit KállaiDivision of Clinical Laboratory Science, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-7373-1459
Réka GindeleDivision of Clinical Laboratory Science, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Krisztina Pénzes-DakuDivision of Clinical Laboratory Science, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Gábor BaloghDivision of Clinical Laboratory Science, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Réka BogátiDivision of Clinical Laboratory Science, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0009-0004-7628-9426
Bálint BécsiDepartment of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Éva KatonaDivision of Clinical Laboratory Science, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0003-3476-794X
Zsolt OláhDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Péter IlonczaiJósa András Teaching Hospital of University of Debrecen, 4400 Nyíregyháza, Hungary.
Zoltán BodaDepartment of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Ágnes Róna-TasDepartment Medical Center of the Hungarian Defence Forces, National Hemophilia Center and Hemostasis, 1134 Budapest, Hungary.
László NemesDepartment Medical Center of the Hungarian Defence Forces, National Hemophilia Center and Hemostasis, 1134 Budapest, Hungary.
Imelda MartonDepartment of Medicine, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary.
Zsuzsanna BereczkyDivision of Clinical Laboratory Science, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-1483-3703
University of Debrecen · HUUniversity of Szeged · HU

Funding

Hungarian Scientific Research Fund OTKA K-139293
6 · The paper itself

Abstract

Antithrombin (AT) is the major plasma inhibitor of thrombin (FIIa) and activated factor X (FXa), and antithrombin deficiency (ATD) is one of the most severe thrombophilic disorders. In this study, we identified nine novel AT mutations and investigated their genotype-phenotype correlations. Clinical and laboratory data from patients were collected, and the nine mutant AT proteins (p.Arg14Lys, p.Cys32Tyr, p.Arg78Gly, p.Met121Arg, p.Leu245Pro, p.Leu270Argfs*14, p.Asn450Ile, p.Gly456delins_Ala_Thr and p.Pro461Thr) were expressed in HEK293 cells; then, Western blotting, N-Glycosidase F digestion, and ELISA were used to detect wild-type and mutant AT. RT-qPCR was performed to determine the expression of AT mRNA from the transfected cells. Functional studies (AT activity in the presence and in the absence of heparin and heparin-binding studies with the surface plasmon resonance method) were carried out. Mutations were also investigated by in silico methods. Type I ATD caused by altered protein synthesis (p.Cys32Tyr, p.Leu270Argfs*14, p.Asn450Ile) or secretion disorder (p.Met121Arg, p.Leu245Pro, p.Gly456delins_Ala_Thr) was proved in six mutants, while type II heparin-binding-site ATD (p.Arg78Gly) and pleiotropic-effect ATD (p.Pro461Thr) were suggested in two mutants. Finally, the pathogenic role of p.Arg14Lys was equivocal. We provided evidence to understand the pathogenic nature of novel

Indexed as

Antithrombin III DeficiencyAntithrombinsAnticoagulantsHEK293 CellsHeparinHumansMutationAnticoagulantsAntithrombinsHeparinantithrombinantithrombin deficiencyexpression studyin silico methodsSERPINC1 mutationsurface plasmon resonance

Identifiers

PMID38474138
PMCPMC10931778
OpenAlexW4392359500

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.