Evidence map›Paper›PMID 39340042›Full record

ReviewVaccines2024

Advancing Human Vaccine Development Using Humanized Mouse Models.

Runpeng Han, Lishan Su, Liang Cheng

Abstract readReview
In one paragraph

Review in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
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  8. 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.

Runpeng HanDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Wuhan University, Wuhan 430071, China.ORCID 0000-0002-4646-6928
Lishan SuLaboratory of Viral Pathogenesis and Immunotherapy, Institute of Human Virology, Department of Pharmacology, University of Maryland School of Medicine, Baltimore, MD 02121, USA.ORCID 0000-0002-0350-5560
Liang ChengDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Wuhan University, Wuhan 430071, China.

Funding

Blocking type I interferon signaling to reverse T cell exhaustion and control HIV-1 reservoirsR01AI136990 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AMARA, RAMA RAO, BOSINGER, STEVEN EDWARD · 2018 to 2022
$4.2M
Fundamental Research Funds for the Central Universities 2042022dx0003National Key R&D Program 2023YFC2306600National Natural Science Foundation of China 82071784NIAID NIH HHS R01 AI136990
6 · The paper itself

Abstract

The development of effective vaccines against infectious diseases remains a critical challenge in global health. Animal models play a crucial role in vaccine development by providing valuable insights into the efficacy, safety, and mechanisms of immune response induction, which guide the design and formulation of vaccines. However, traditional animal models often inadequately recapitulate human immune responses. Humanized mice (hu-mice) models with a functional human immune system have emerged as invaluable tools in bridging the translational gap between preclinical research and clinical trials for human vaccine development. This review summarizes commonly used hu-mice models and advances in optimizing them to improve human immune responses. We review the application of humanized mice for human vaccine development with a focus on HIV-1 vaccines. We also discuss the remaining challenges and improvements needed for the currently available hu-mice models to better facilitate the development and testing of human vaccines for infectious diseases.

Indexed as

HIV-1humanized micehuman vaccineinfectious diseases

Identifiers

PMID39340042
PMCPMC11436046

What OpenQuestion holds

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LicenceCC BY
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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.