Evidence map›Paper›PMID 25254222›Full record

ArticleJournal of immunology research2014

Soluble HLA technology as a strategy to evaluate the impact of HLA mismatches.

Heike Kunze-Schumacher, Rainer Blasczyk, Christina Bade-Doeding

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Heike Kunze-SchumacherInstitute for Transfusion Medicine, Hannover Medical School, Medical Park, Feodor-Lynen-Straße 5, 30625 Hannover, Germany.
Rainer BlasczykInstitute for Transfusion Medicine, Hannover Medical School, Medical Park, Feodor-Lynen-Straße 5, 30625 Hannover, Germany.
Christina Bade-DoedingInstitute for Transfusion Medicine, Hannover Medical School, Medical Park, Feodor-Lynen-Straße 5, 30625 Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HLA class I incompatibilities still remain one of the main barriers for unrelated bone marrow transplantation (BMT); hence the molecular understanding of how to mismatch patients and donors and still have successful clinical outcomes will guide towards the future of unrelated BMT. One way to estimate the magnitude of polymorphisms within the PBR is to determine which peptides can be selected by individual HLA alleles and subsequently presented for recognition by T cells. The features (structure, length, and sequence) of different peptides each confer an individual pHLA landscape and thus directly shape the individual immune response. The elution and sequencing of peptides by mass spectrometric analysis enable determining the bona fide repertoire of presented peptides for a given allele. This is an effective and simple way to compare the functions of allelic variants and make a first assessment of their degree of permissivity. We describe the methodology used for peptide sequencing and the limitations of peptide prediction tools compared to experimental methods. We highlight the altered peptide features that are observed between allelic variants and the need to discover the altered peptide repertoire in situations of "artificial" graft versus host disease (GvHD) that occur in HLA-specific hypersensitive immune responses to drugs.

Indexed as

AllelesBone Marrow TransplantationGraft vs Host DiseaseHistocompatibility TestingHLA AntigensHumansModels, ImmunologicalPeptidesT-LymphocytesUnrelated DonorsHLA AntigensPeptides

Identifiers

PMID25254222
PMCPMC4165401
OpenAlexW2138890430

What OpenQuestion holds

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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.