Evidence map›Paper›PMID 30703088›Full record

ArticlePLoS biology2019

Pathogen diversity drives the evolution of generalist MHC-II alleles in human populations.

Máté Manczinger, Gábor Boross, Lajos Kemény, Viktor Müller, Tobias L Lenz, Balázs Papp, Csaba Pál

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04426253 (Identification of Genetic Factors Determining Disease Course and Preparation of Pharmacogenetic Applications in the New Type of Coronavirus Infection, COVID-19), which is not on this map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.7field-weighted citation impact, top 4% 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.

NCT04426253 unknown statusnot on this mapstarted 2020, after this paper: background citation

Identification of Genetic Factors Determining Disease Course and Preparation of Pharmacogenetic Applications in the New Type of Coronavirus Infection, COVID-19

TypeobservationalSponsorSzeged UniversityRan2020 to 2021Enrolled1,000ConditionsCOVID-19, Sars-CoV2
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
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  11. Haplotype Analysis Reveals Pleiotropic Disease Associations in the HLA Region.medRxiv : the preprint server for health sciences · 2024
    Article
  12. A journey to your self: The vague definition of immune self and its practical implications.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
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  15. Review
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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

7 authors at 4 institutions in 2 countries.

Máté ManczingerSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary.
Gábor BorossSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary.ORCID 0000-0002-7208-5678
Lajos KeményDepartment of Dermatology and Allergology, University of Szeged, Szeged, Hungary.ORCID 0000-0002-2119-9501
Viktor MüllerInstitute of Biology, Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0001-8212-4880
Tobias L LenzResearch Group for Evolutionary Immunogenomics, Max Planck Institute for Evolutionary Biology, Plön, Germany.ORCID 0000-0002-7203-0044
Balázs PappSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary.ORCID 0000-0003-3093-8852
Csaba PálSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary.ORCID 0000-0002-5187-9903
HUN-REN Szegedi Biológiai Kutatóközpont · HUUniversity of Szeged · HUEötvös Loránd University · HUMax Planck Institute for Evolutionary Biology · DE

Funding

Wellcome Trust
6 · The paper itself

Abstract

Central players of the adaptive immune system are the groups of proteins encoded in the major histocompatibility complex (MHC), which shape the immune response against pathogens and tolerance to self-peptides. The corresponding genomic region is of particular interest, as it harbors more disease associations than any other region in the human genome, including associations with infectious diseases, autoimmune disorders, cancers, and neuropsychiatric diseases. Certain MHC molecules can bind to a much wider range of epitopes than others, but the functional implication of such an elevated epitope-binding repertoire has remained largely unclear. It has been suggested that by recognizing more peptide segments, such promiscuous MHC molecules promote immune response against a broader range of pathogens. If so, the geographical distribution of MHC promiscuity level should be shaped by pathogen diversity. Three lines of evidence support the hypothesis. First, we found that in pathogen-rich geographical regions, humans are more likely to carry highly promiscuous MHC class II DRB1 alleles. Second, the switch between specialist and generalist antigen presentation has occurred repeatedly and in a rapid manner during human evolution. Third, molecular positions that define promiscuity level of MHC class II molecules are especially diverse and are under positive selection in human populations. Taken together, our work indicates that pathogen load maintains generalist adaptive immune recognition, with implications for medical genetics and epidemiology.

Indexed as

Adaptive ImmunityAmino Acid SequenceAnimalsAntigen PresentationBiological EvolutionBlood-Borne PathogensEpitopesEvolution, MolecularGenetic VariationHistocompatibility Antigens Class IIHumansMajor Histocompatibility ComplexPeptidesSelection, GeneticEpitopesHistocompatibility Antigens Class IIPeptides

Identifiers

PMID30703088
PMCPMC6372212
OpenAlexW2913878918

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.