Evidence map›Paper›PMID 31563849›Full record

ReviewCurrent opinion in immunology2019

On the mark: genetically engineered immunotherapies for autoimmunity.

Christoph T Ellebrecht, Daniel K Lundgren, Aimee S Payne

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 28% 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, 9 citations in OpenAlex.

  1. T cell help shapes B cell tolerance.Science immunology · 2024
    Article
  2. Article
  3. Review
  4. Review
  5. Getting Under the Skin: Targeting Cutaneous Autoimmune Disease.The Yale journal of biology and medicine · 2020
    Review
  6. Review
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 at 1 institution in 1 country.

Christoph T EllebrechtDepartment of Dermatology, University of Pennsylvania, Philadelphia, USA.
Daniel K LundgrenDepartment of Dermatology, University of Pennsylvania, Philadelphia, USA.
Aimee S PayneDepartment of Dermatology, University of Pennsylvania, Philadelphia, USA. Electronic address: aimee.payne@uphs.upenn.edu.
University of Pennsylvania · US

Funding

Engineering disease-specific T cells for pemphigus therapyR01AR068288 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI PAYNE, AIMEE S · 2015 to 2019
$1.8M
University of Pennsylvania Clinical Autoimmunity Center of ExcellenceUM1AI144288 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BAR-OR, AMIT, PAYNE, AIMEE S · 2019 to 2023
$551k
NIAID NIH HHS UM1 AI144288NIAMS NIH HHS R01 AR068288
6 · The paper itself

Abstract

Current therapies for autoimmunity cause significant morbidity and mortality. Adoptive immunotherapy using genetically engineered T cells has led to durable remissions of B cell leukemias and lymphomas, raising the question of whether the approach can be modified to target autoreactive B and T cells to induce durable remissions of autoimmunity. Here we review antigen-specific approaches to modify immune cells to treat autoimmune disease. We focus on recent studies that aim to eliminate or suppress autoimmunity by targeting the disease-causing B or T cells through their B cell receptor or T cell receptor specificities.

Indexed as

AutoimmunityGenetic EngineeringImmunotherapyAnimalsAutoantigensAutoimmune DiseasesB-LymphocytesClinical Trials as TopicEpitopesHistocompatibility Antigens Class IHumansReceptors, ImmunologicT-LymphocytesTranslational Research, BiomedicalAutoantigensEpitopesHistocompatibility Antigens Class IReceptors, Immunologic

Identifiers

PMID31563849
PMCPMC6901707
OpenAlexW2974952278

What OpenQuestion holds

Textmetadata
LicenceTDM
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.