Evidence map›Paper›PMID 31857582›Full record

ArticleNature communications2019

Natural selection favoring more transmissible HIV detected in United States molecular transmission network.

Joel O Wertheim, Alexandra M Oster, William M Switzer, Chenhua Zhang, Nivedha Panneer, Ellsworth Campbell, Neeraja Saduvala, Jeffrey A Johnson, Walid Heneine

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 45 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

9 authors at 4 institutions in 2 countries.

Joel O WertheimDepartment of Medicine, University of California, San Diego, CA, USA. jwertheim@ucsd.edu.
Alexandra M OsterDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
William M SwitzerDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-4591-8731
Chenhua ZhangICF International, Atlanta, GA, USA.
Nivedha PanneerDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ellsworth CampbellDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Neeraja SaduvalaICF International, Atlanta, GA, USA.
Jeffrey A JohnsonDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Walid HeneineDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Centers for Disease Control and Prevention · USICF International (United States) · USUnitika (Japan) · JPUniversity of California San Diego · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
Automation and Evaluation of Real-Time Transmission Network-Based HIV Prevention Services in New York CityR01AI135992 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WERTHEIM, JOEL OKRENT · 2018 to 2022
$3.6M
Public Health Implications of HIV Transmission NetworksK01AI110181 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WERTHEIM, JOEL OKRENT · 2014 to 2018
$668k
NCATS NIH HHS UL1 TR001442NIAID NIH HHS K01 AI110181NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI135992
6 · The paper itself

Abstract

HIV molecular epidemiology can identify clusters of individuals with elevated rates of HIV transmission. These variable transmission rates are primarily driven by host risk behavior; however, the effect of viral traits on variable transmission rates is poorly understood. Viral load, the concentration of HIV in blood, is a heritable viral trait that influences HIV infectiousness and disease progression. Here, we reconstruct HIV genetic transmission clusters using data from the United States National HIV Surveillance System and report that viruses in clusters, inferred to be frequently transmitted, have higher viral loads at diagnosis. Further, viral load is higher in people in larger clusters and with increased network connectivity, suggesting that HIV in the United States is experiencing natural selection to be more infectious and virulent. We also observe a concurrent increase in viral load at diagnosis over the last decade. This evolutionary trajectory may be slowed by prevention strategies prioritized toward rapidly growing transmission clusters.

Indexed as

Selection, GeneticAdolescentAdultFemaleHIV-1HIV InfectionsHumansMaleMiddle AgedMolecular EpidemiologyUnited StatesViral LoadYoung Adult

Identifiers

PMID31857582
PMCPMC6923435
OpenAlexW2995450907

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.