Evidence map›Paper›PMID 32903563›Full record

ReviewFrontiers in cellular and infection microbiology2020

Engineering CAR T Cells to Target the HIV Reservoir.

Wenli Mu, Mayra A Carrillo, Scott G Kitchen

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2020. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Engineering of CD8mBio · 2025
    Article
  10. Article
  11. Cell therapies for viral diseases: a new frontier.Seminars in immunopathology · 2025
    Review
  12. Article
  13. Synergistic integration of mRNA-LNP with CAR-engineered immune cells: Pioneering progress in immunotherapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review
  14. Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

3 authors.

Wenli MuDivision of Hematology and Oncology, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Mayra A CarrilloDivision of Hematology and Oncology, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Scott G KitchenDivision of Hematology and Oncology, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZACK, JEROME A. · 1991 to 2018
$39.9M
Viral Immunology CoreU19AI149504 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHEN, IRVIN S.Y., KITCHEN, SCOTT G · 2020 to 2024
$14.3M
Viral Immunology CoreU19AI117941 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KITCHEN, SCOTT G · 2015 to 2019
$10.6M
Viral Genetics CoreP01AI131294 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, OTTO O · 2017 to 2021
$7.5M
UPLIFT: UCLA Postdocs' Longitudinal Investment in Faculty TrainingK12GM106996 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAREY, MICHAEL F, VILLANUEVA, CLAUDIO J · 2016 to 2025
$7.1M
Therapeutic Anti-HIV Chimeric Antigen Receptors Via Stem Cell DeliveryR01AI140775 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KITCHEN, SCOTT G, YANG, OTTO O · 2020 to 2024
$3.8M
Role of persistent type I IFN signaling in immune suppression and tumorigenesis during chronic HIV infectionR01CA239261 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KITCHEN, SCOTT G · 2019 to 2023
$1.8M
Dendritic Cell Vaccine for Controlling the Latent ReservoirR33AI122390 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIEM, HANS-PETER, KITCHEN, SCOTT G · 2018 to 2020
$1.6M
Dendritic Cell Vaccine for Controlling the Latent ReservoirR21AI122390 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIEM, HANS-PETER, KITCHEN, SCOTT G · 2016 to 2017
$457k
NCI NIH HHS R01 CA239261NIAID NIH HHS P01 AI131294NIAID NIH HHS P30 AI028697NIAID NIH HHS R01 AI140775NIAID NIH HHS R21 AI122390NIAID NIH HHS R33 AI122390NIAID NIH HHS U19 AI117941NIGMS NIH HHS K12 GM106996
6 · The paper itself

Abstract

The HIV reservoir remains to be a difficult barrier to overcome in order to achieve a therapeutic cure for HIV. Several strategies have been developed to purge the reservoir, including the "kick and kill" approach, which is based on the notion that reactivating the latent reservoir will allow subsequent elimination by the host anti-HIV immune cells. However, clinical trials testing certain classes of latency reactivating agents (LRAs) have so far revealed the minimal impact on reducing the viral reservoir. A robust immune response to reactivated HIV expressing cells is critical for this strategy to work. A current focus to enhance anti-HIV immunity is through the use of chimeric antigen receptors (CARs). Currently, HIV-specific CARs are being applied to peripheral T cells, NK cells, and stem cells to boost recognition and killing of HIV infected cells. In this review, we summarize current developments in engineering HIV directed CAR-expressing cells to facilitate HIV elimination. We also summarize current LRAs that enhance the "kick" strategy and how new generation and combinations of LRAs with HIV specific CAR T cell therapies could provide an optimal strategy to target the viral reservoir and achieve HIV clearance from the body.

Indexed as

HIV-1HIV InfectionsCD4-Positive T-LymphocytesHumansKiller Cells, NaturalVirus Latencychimeric antigen receptorgene therapyHIVimmunotherapylatencyLRA (latency reversing agents)viral reservoir

Identifiers

PMID32903563
PMCPMC7438537

What OpenQuestion holds

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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.