Evidence map›Paper›PMID 16096099›Full record

ArticleProceedings. Biological sciences2005

The role of mutation accumulation in HIV progression.

Alison P Galvani

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proceedings. Biological sciences, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Modeling the immune response to HIV infection.Current opinion in systems biology · 2018
    Article
  5. Article
  6. Effects of neutralizing antibodies on escape from CD8+ T-cell responses in HIV-1 infection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  7. Review
  8. Evolutionary dynamics of HIV at multiple spatial and temporal scales.Journal of molecular medicine (Berlin, Germany) · 2012
    Review
  9. The effects of low-impact mutations in digital organisms.Theoretical biology & medical modelling · 2011
    Article
  10. Article
  11. Article
  12. 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

1 author at 1 institution in 1 country.

Alison P GalvaniDepartment of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520, USA. alison.galvani@yale.edu
Yale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The onset of AIDS is characterized by the collapse of the immune system after a prolonged asymptomatic period. The mechanistic basis of this disease progression has remained obscure, hindering the development of effective therapies. Here I present a mechanism that underlies the deterioration of the immune system during HIV infection. The elevated turnover of lymphocytes throughout the asymptomatic period is postulated to result in the accumulation of deleterious mutations, which impairs immunological function, replicative ability and viability of lymphocytes. This mutational meltdown is proposed to occur throughout the hierarchy of lymphocyte progenitors, resulting in the deterioration of lymphocyte regeneration and an ensuing rise in viral loads. A mathematical model is used to illustrate this mechanism of progressive immunological deterioration. Mutation accumulation may explain not only the decline in CD4+T cells, but also the functional deterioration of CD4+T cells, CD8+T cells and B cells, and the exhaustion of lymphocyte regeneration.

Indexed as

Models, GeneticAcquired Immunodeficiency SyndromeDisease ProgressionHematopoietic Stem CellsHumansLymphocytesMutation

Identifiers

PMID16096099
PMCPMC1559876
OpenAlexW2117370692

What OpenQuestion holds

Textmetadata
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.