Evidence map›Paper›PMID 34985669›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Human Hematopoietic Stem Cell (HSC)-Engrafted NSG Mice for HIV Latency Research.

Triana Rivera-Megias, Nhut M Le, Alonso Heredia

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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 at 1 institution in 1 country.

Triana Rivera-MegiasInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Nhut M LeInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Alonso HerediaInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA. aheredia@ihv.umaryland.edu.
University of Maryland, Baltimore · US

Funding

Impact of concomitant chemotherapy on HIV resistance to cART and reservoir sizeR01CA233441 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI HEREDIA, ALONSO · 2019 to 2023
$1.7M
NCI NIH HHS R01 CA233441
6 · The paper itself

Abstract

Combination antiretroviral therapy (cART) suppresses HIV in most patients, but it cannot cure HIV infection. The main challenge to a cure is the presence of latent replication-competent HIV in resting CD4+ T cells in blood and tissues, which reignite infection after cART removal. The long half-life of this reservoir is a major barrier to a cure, and its elimination is a main goal of current HIV research. Animal models that recapitulate HIV latency can provide key insights into the establishment of HIV latency and, more importantly, enable the testing of HIV eradication strategies. We describe a protocol for the generation of humanized mice by intrahepatic injection of human cord blood-derived CD34+ hematopoietic stem cells (HSC) into newborn NSG mice, the HSC-NSG mouse model. We also describe a protocol for establishing HIV latency in this model. HSC-NSG mice have provided proof-of-concept for an approach combining HIV gene editing and HIV suppression in tissues that may cure HIV in infected humans.

Indexed as

HIV-1HIV InfectionsAnimalsCD4-Positive T-LymphocytesHematopoietic Stem CellsHumansMiceVirus LatencyCord blood CD34+ cellsCureHistone deacetylase inhibitorsHIVHSC-NSGHumanized miceLatencyLatency reversing agentsNSG

Identifiers

PMID34985669
PMCPMC9617689
OpenAlexW4205600084

What OpenQuestion holds

Textmetadata
LicenceTDM
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.