Evidence map›Paper›PMID 33432929›Full record

ArticleeLife2021

Thresholds for post-rebound SHIV control after CCR5 gene-edited autologous hematopoietic cell transplantation.

E Fabian Cardozo-Ojeda, Elizabeth R Duke, Christopher W Peterson, Daniel B Reeves, Bryan T Mayer, Hans-Peter Kiem, Joshua T Schiffer

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

19 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Efficient manufacturing and engraftment ofMolecular therapy. Methods & clinical development · 2023
    Article
  15. EfficientFrontiers in immunology · 2023
    Article
  16. Article
  17. The CCR5 Gene Edited CD34Frontiers in immunology · 2022
    Article
  18. Genome editing in large animal models.Molecular therapy : the journal of the American Society of Gene Therapy · 2021
    Review
  19. Review
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

7 authors at 1 institution in 1 country.

E Fabian Cardozo-OjedaVaccine and Infectious Disease Division, University of Washington, Seattle, United States.ORCID 0000-0001-8690-9896
Elizabeth R DukeVaccine and Infectious Disease Division, University of Washington, Seattle, United States.
Christopher W PetersonDepartment of Medicine, University of Washington, Seattle, United States.
Daniel B ReevesVaccine and Infectious Disease Division, University of Washington, Seattle, United States.ORCID 0000-0001-5684-9538
Bryan T MayerVaccine and Infectious Disease Division, University of Washington, Seattle, United States.
Hans-Peter KiemDepartment of Medicine, University of Washington, Seattle, United States.
Joshua T SchifferVaccine and Infectious Disease Division, University of Washington, Seattle, United States.ORCID 0000-0002-2598-1621
University of Washington · US

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Cell and Gene Therapy for HIV CureUM1AI126623 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JEROME, KEITH R, KIEM, HANS-PETER · 2016 to 2020
$24.2M
NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Mathematical modeling of optimal therapeutic combinations for HIV cureR01AI150500 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SCHIFFER, JOSHUA TISDELL · 2020 to 2024
$2.3M
Simulating persistence and elimination of the HIV reservoirK25AI155224 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI REEVES, DANIEL · 2020 to 2024
$581k
NCATS NIH HHS KL2 TR002317NIAID NIH HHS K25 AI155224NIAID NIH HHS P30 AI027757NIAID NIH HHS R01 AI150500NIAID NIH HHS UM1 AI126623NIH HHS P51 OD010425
6 · The paper itself

Abstract

Autologous, CCR5 gene-edited hematopoietic stem and progenitor cell (HSPC) transplantation is a promising strategy for achieving HIV remission. However, only a fraction of HSPCs can be edited ex vivo to provide protection against infection. To project the thresholds of CCR5-edition necessary for HIV remission, we developed a mathematical model that recapitulates blood T cell reconstitution and plasma simian-HIV (SHIV) dynamics from SHIV-1157ipd3N4-infected pig-tailed macaques that underwent autologous transplantation with CCR5 gene editing. The model predicts that viral control can be obtained following analytical treatment interruption (ATI) when: (1) transplanted HSPCs are at least fivefold higher than residual endogenous HSPCs after total body irradiation and (2) the fraction of protected HSPCs in the transplant achieves a threshold (76-94%) sufficient to overcome transplantation-dependent loss of SHIV immunity. Under these conditions, if ATI is withheld until transplanted gene-modified cells engraft and reconstitute to a steady state, spontaneous viral control is projected to occur.

Indexed as

Gene EditingHematopoietic Stem Cell TransplantationAnimalsHIVMacaca nemestrinaReceptors, CCR5Simian Immunodeficiency VirusTransplantation, AutologousCCR5 protein, humanReceptors, CCR5autologous transplantationcomputational biologyhematopoietic ΔCCR5 stem cellsHIV cureinfectious diseasemathematical modelingmicrobiologynonlinear mixed-effectspigtailed macaquesystems biology

Identifiers

PMID33432929
PMCPMC7803377
OpenAlexW3118658616

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.