Evidence map›Paper›PMID 28542550›Full record

ArticlePLoS pathogens2017

A spatio-temporal assessment of simian/human immunodeficiency virus (SHIV) evolution reveals a highly dynamic process within the host.

Alison F Feder, Christopher Kline, Patricia Polacino, Mackenzie Cottrell, Angela D M Kashuba, Brandon F Keele, Shiu-Lok Hu, Dmitri A Petrov, Pleuni S Pennings, Zandrea Ambrose

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Reversions mask the contribution of adaptive evolution in microbiomes.bioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Elevated HIV viral load is associated with higher recombination ratebioRxiv : the preprint server for biology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Frontiers in cellular and infection microbiology · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

10 authors at 6 institutions in 1 country.

Alison F FederDepartment of Biology, Stanford University, Stanford, CA, United States.ORCID http://orcid.org/0000-0003-2915-089X
Christopher KlineDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0002-5551-5023
Patricia PolacinoWashington National Primate Research Center, University of Washington, Seattle, WA, United States.
Mackenzie CottrellDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID http://orcid.org/0000-0002-0291-5111
Angela D M KashubaDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Brandon F KeeleAIDS and Cancer Virus Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, United States.ORCID http://orcid.org/0000-0002-2381-1151
Shiu-Lok HuWashington National Primate Research Center, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0003-4336-7964
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, CA, United States.ORCID http://orcid.org/0000-0002-3664-9130
Pleuni S PenningsDepartment of Biology, San Francisco State University, San Francisco, CA, United States.
Zandrea AmbroseDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.ORCID http://orcid.org/0000-0002-8610-2766
Stanford University · USUniversity of North Carolina at Chapel Hill · USUniversity of Pittsburgh · USUniversity of Washington · USLeidos (United States) · USSan Francisco State University · US

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
Origin and Evolution of HIV-1 Drug Resistance in the RT-SHIVmne Macaque ModelR01AI080290 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AMBROSE, ZANDREA · 2010 to 2013
$1.5M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI080290NIGMS NIH HHS R35 GM118165NIH HHS P51 OD010425
6 · The paper itself

Abstract

The process by which drug-resistant HIV-1 arises and spreads spatially within an infected individual is poorly understood. Studies have found variable results relating how HIV-1 in the blood differs from virus sampled in tissues, offering conflicting findings about whether HIV-1 throughout the body is homogeneously distributed. However, most of these studies sample only two compartments and few have data from multiple time points. To directly measure how drug resistance spreads within a host and to assess how spatial structure impacts its emergence, we examined serial sequences from four macaques infected with RT-SHIVmne027, a simian immunodeficiency virus encoding HIV-1 reverse transcriptase (RT), and treated with RT inhibitors. Both viral DNA and RNA (vDNA and vRNA) were isolated from the blood (including plasma and peripheral blood mononuclear cells), lymph nodes, gut, and vagina at a median of four time points and RT was characterized via single-genome sequencing. The resulting sequences reveal a dynamic system in which vRNA rapidly acquires drug resistance concomitantly across compartments through multiple independent mutations. Fast migration results in the same viral genotypes present across compartments, but not so fast as to equilibrate their frequencies immediately. The blood and lymph nodes were found to be compartmentalized rarely, while both the blood and lymph node were more frequently different from mucosal tissues. This study suggests that even oft-sampled blood does not fully capture the viral dynamics in other parts of the body, especially the gut where vRNA turnover was faster than the plasma and vDNA retained fewer wild-type viruses than other sampled compartments. Our findings of transient compartmentalization across multiple tissues may help explain the varied results of previous compartmentalization studies in HIV-1.

Indexed as

Drug Resistance, ViralAnimalsDNA, ViralFemaleGastrointestinal TractHIV-1HIV InfectionsHIV Reverse TranscriptaseHumansLeukocytes, MononuclearLymph NodesMacaca mulattaOrgan SpecificityReverse Transcriptase InhibitorsRNA, ViralSimian Acquired Immunodeficiency SyndromeDNA, ViralHIV Reverse Transcriptasereverse transcriptase, Human immunodeficiency virus 1Reverse Transcriptase InhibitorsRNA, Viral

Identifiers

PMID28542550
PMCPMC5444849
OpenAlexW2619681078

What OpenQuestion holds

Textmetadata
LicenceCC0
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.