Evidence map›Paper›PMID 25226169›Full record

ArticlePLoS biology2014

Disentangling human tolerance and resistance against HIV.

Roland R Regoes, Paul J McLaren, Manuel Battegay, Enos Bernasconi, Alexandra Calmy, Huldrych F Günthard, Matthias Hoffmann, Andri Rauch, Amalio Telenti, Jacques Fellay and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Coevolution of Age-Structured Tolerance and Virulence.Bulletin of mathematical biology · 2024
    Article
  7. Article
  8. Per-pathogen virulence of HIV-1 subtypes A, C and D.Proceedings. Biological sciences · 2023
    Article
  9. Virulence decomposition for bifurcating infections.Proceedings. Biological sciences · 2023
    Article
  10. Review
  11. Article
  12. Article
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  14. Article
  15. Article
  16. 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

11 authors at 10 institutions in 1 country.

Roland R RegoesInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Paul J McLarenGlobal Health Institute, EPF Lausanne, Lausanne, Switzerland; Institute of Microbiology, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Manuel BattegayDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Enos BernasconiDivision of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland.
Alexandra CalmyGeneva University Hospital, HIV Unit, Department of Internal Medicine, Geneva, Switzerland.
Huldrych F GünthardDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Matthias HoffmannDivision of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.
Andri RauchUniversity Clinic of Infectious Diseases, University Hospital Bern and University of Bern, Bern, Switzerland.
Amalio TelentiInstitute of Microbiology, University of Lausanne, Lausanne, Switzerland.
Jacques FellayGlobal Health Institute, EPF Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Swiss HIV Cohort Study
École Polytechnique Fédérale de Lausanne · CHETH Zurich · CHOspedale regionale di Lugano · CHSIB Swiss Institute of Bioinformatics · CHUniversity Hospital of Geneva · CHUniversity Hospital of Zurich · CHUniversity of Basel · CHUniversity of Bern · CHUniversity of Lausanne · CHUniversity of St. Gallen · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In ecology, "disease tolerance" is defined as an evolutionary strategy of hosts against pathogens, characterized by reduced or absent pathogenesis despite high pathogen load. To our knowledge, tolerance has to date not been quantified and disentangled from host resistance to disease in any clinically relevant human infection. Using data from the Swiss HIV Cohort Study, we investigated if there is variation in tolerance to HIV in humans and if this variation is associated with polymorphisms in the human genome. In particular, we tested for associations between tolerance and alleles of the Human Leukocyte Antigen (HLA) genes, the CC chemokine receptor 5 (CCR5), the age at which individuals were infected, and their sex. We found that HLA-B alleles associated with better HIV control do not confer tolerance. The slower disease progression associated with these alleles can be fully attributed to the extent of viral load reduction in carriers. However, we observed that tolerance significantly varies across HLA-B genotypes with a relative standard deviation of 34%. Furthermore, we found that HLA-B homozygotes are less tolerant than heterozygotes. Lastly, tolerance was observed to decrease with age, resulting in a 1.7-fold difference in disease progression between 20 and 60-y-old individuals with the same viral load. Thus, disease tolerance is a feature of infection with HIV, and the identification of the mechanisms involved may pave the way to a better understanding of pathogenesis.

Indexed as

Polymorphism, GeneticAdultAge FactorsAllelesCD4 Lymphocyte CountCohort StudiesDisease ProgressionFemaleGene FrequencyGenome, HumanHeterozygoteHIV-1HIV InfectionsHLA-B AntigensHomozygoteHost-Pathogen InteractionsCCR5 protein, humanHLA-B AntigensReceptors, CCR5

Identifiers

PMID25226169
PMCPMC4165755
OpenAlexW2038413777

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.