Evidence map›Paper›PMID 39817450›Full record

ArticleThe Journal of clinical investigation2025

Clonal analysis of SepSecS-specific B and T cells in autoimmune hepatitis.

Michael Kramer, Federico Mele, Sandra Jovic, Blanca Maria Fernandez, David Jarrossay, Jun Siong Low, Christiane Sokollik, Magdalena Filipowicz Sinnreich, Sylvie Ferrari-Lacraz, Giorgina Mieli-Vergani and 5 more

Abstract read
In one paragraph

Article in The Journal of clinical investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Experimental Models of Autoimmune Hepatitis: Disease Fidelity and Translational Relevance.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Can we cure autoimmune hepatitis?Current opinion in immunology · 2025
    Review
  7. Unmet needs in autoimmune liver diseases.Current opinion in immunology · 2025
    Review
  8. 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

15 authors.

Michael KramerInstitute for Research in Biomedicine (IRB), Bellinzona, Switzerland.
Federico MeleInstitute for Research in Biomedicine (IRB), Bellinzona, Switzerland.
Sandra JovicInstitute for Research in Biomedicine (IRB), Bellinzona, Switzerland.
Blanca Maria FernandezInstitute for Research in Biomedicine (IRB), Bellinzona, Switzerland.
David JarrossayInstitute for Research in Biomedicine (IRB), Bellinzona, Switzerland.
Jun Siong LowInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Christiane SokollikDivision of Paediatric Gastroenterology, Hepatology and Nutrition, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Magdalena Filipowicz SinnreichDepartment of Gastroenterology and Hepatology, Basel University Medical Clinic, Cantonal Hospital Baselland, Liestal, Switzerland.
Sylvie Ferrari-LacrazTransplant Immunology Unit & National Laboratory of Immunogenetics, Division of Nephrology, Department of Diagnostic, University Hospital Geneva, Geneva, Switzerland.
Giorgina Mieli-VerganiMowatLabs, Faculty of Life Sciences & Medicine, King's College London, King's College Hospital, London, United Kingdom.
Diego VerganiMowatLabs, Faculty of Life Sciences & Medicine, King's College London, King's College Hospital, London, United Kingdom.
Antonio LanzavecchiaNational Institute of Molecular Genetics, Milano, Italy.
Antonino CassottaInstitute for Research in Biomedicine (IRB), Bellinzona, Switzerland.
Benedetta Terziroli Beretta-PiccoliInstitute for Research in Biomedicine (IRB), Bellinzona, Switzerland.
Federica SallustoInstitute for Research in Biomedicine (IRB), Bellinzona, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune hepatitis (AIH) is a rare chronic inflammatory liver disease characterized by the presence of autoantibodies, including those targeting O-phosphoseryl-tRNA:selenocysteine-tRNA synthase (SepSecS), also known as soluble liver antigen (SLA). Anti-SepSecS antibodies have been associated with a more severe phenotype, suggesting a key role for the SepSecS autoantigen in AIH. To analyze the immune response to SepSecS in patients with AIH at the clonal level, we combined sensitive high-throughput screening assays with the isolation of monoclonal antibodies (mAbs) and T cell clones. The anti-SepSecS mAbs isolated were primarily IgG1, affinity-matured compared with their germline versions, and recognized at least 3 nonoverlapping epitopes. SepSecS-specific CD4+ T cell clones were found in patients with AIH who were anti-SLA-positive and anti-SLA-negative,and, to a lesser extent, in patients with non-AIH liver diseases and in healthy individuals. SepSecS-specific T cell clones from patients with AIH produced IFN-γ, IL-4, and IL-10, targeted multiple SepSecS epitopes, and, in one patient, were clonally expanded in both blood and liver biopsy. Finally, SepSecS-specific B cell clones, but not those of unrelated specificities, were able to present soluble SepSecS to specific T cells. Collectively, our study provides the first detailed analysis of B and T cell repertoires targeting SepSecS in patients with AIH, offering a rationale for improved targeted therapies.

Indexed as

AutoantigensB-LymphocytesCD4-Positive T-LymphocytesHepatitis, AutoimmuneAdultAntibodies, MonoclonalAutoantibodiesClone CellsFemaleHumansMaleMiddle AgedAntibodies, MonoclonalAutoantibodiesAutoantigensAutoimmunityHepatitisImmunoglobulinsImmunologyT cells

Identifiers

PMID39817450
PMCPMC11735102

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.