Evidence map›Paper›PMID 25187947›Full record

ArticlePLoS computational biology2014

Baseline CD4+ T cell counts correlates with HIV-1 synonymous rate in HLA-B*5701 subjects with different risk of disease progression.

Melissa M Norström, Nazle M Veras, Wei Huang, Mattia C F Proper, Jennifer Cook, Wendy Hartogensis, Frederick M Hecht, Annika C Karlsson, Annika C Karlsoon, Marco Salemi

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
4 · The record

Corrections and comments

  • Erratum issued
    Karlsoon, Annika C [corrected to Karlsson, Annika C]
5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Melissa M NorströmDivision of Clinical Microbiology & Center for HIV Research, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Nazle M VerasDepartment of Pathology, Immunology and Laboratory Medicine & Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Wei HuangMonogram Biosciences Inc., South San Francisco, California, United States of America.
Mattia C F ProperCentre for Health Informatics, Institute of Population Health, University of Manchester, Manchester, United Kingdom.
Jennifer CookMonogram Biosciences Inc., South San Francisco, California, United States of America.
Wendy HartogensisUCSF Positive Health Program, San Francisco General Hospital, University of California, San Francisco, San Francisco, California, United States of America.
Frederick M HechtUCSF Positive Health Program, San Francisco General Hospital, University of California, San Francisco, San Francisco, California, United States of America.
Annika C Karlsson
Annika C KarlsoonDivision of Clinical Microbiology & Center for HIV Research, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Marco SalemiDepartment of Pathology, Immunology and Laboratory Medicine & Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Karolinska Institutet · SEUniversity of California, San Francisco · USUniversity of Florida · USUniversity of Manchester · GB

Funding

Mentoring and Research in Integrative MedicineK24AT007827 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HECHT, FREDERICK M · 2013 to 2022
$1.8M
NCCIH NIH HHS K24 AT007827
6 · The paper itself

Abstract

HLA-B*5701 is the host factor most strongly associated with slow HIV-1 disease progression, although risk of progression may vary among patients carrying this allele. The interplay between HIV-1 evolutionary rate variation and risk of progression to AIDS in HLA-B*5701 subjects was studied using longitudinal viral sequences from high-risk progressors (HRPs) and low-risk progressors (LRPs). Posterior distributions of HIV-1 genealogies assuming a Bayesian relaxed molecular clock were used to estimate the absolute rates of nonsynonymous and synonymous substitutions for different set of branches. Rates of viral evolution, as well as in vitro viral replication capacity assessed using a novel phenotypic assay, were correlated with various clinical parameters. HIV-1 synonymous substitution rates were significantly lower in LRPs than HRPs, especially for sets of internal branches. The viral population infecting LRPs was also characterized by a slower increase in synonymous divergence over time. This pattern did not correlate to differences in viral fitness, as measured by in vitro replication capacity, nor could be explained by differences among subjects in T cell activation or selection pressure. Interestingly, a significant inverse correlation was found between baseline CD4+ T cell counts and mean HIV-1 synonymous rate (which is proportional to the viral replication rate) along branches representing viral lineages successfully propagating through time up to the last sampled time point. The observed lower replication rate in HLA-B*5701 subjects with higher baseline CD4+ T cell counts provides a potential model to explain differences in risk of disease progression among individuals carrying this allele.

Indexed as

CD4-Positive T-LymphocytesHLA-B AntigensBayes TheoremComputational BiologyDisease ProgressionHIV-1HIV Core Protein p24HIV InfectionsHumansMolecular Sequence DataMutationVirus ReplicationHIV Core Protein p24HLA-B*57:01 antigenHLA-B Antigensp24 protein, Human Immunodeficiency Virus Type 1

Identifiers

PMID25187947
PMCPMC4154639
OpenAlexW2019540896

What OpenQuestion holds

Textmetadata
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.