Evidence map›Paper›PMID 40970711›Full record

ArticleMicrobiology spectrum2025

Pharmacokinetic-pharmacodynamic modeling of a highly potent and broadly neutralizing anti-CD4 trimeric nanobody to inhibit HIV-1 infection.

Xiaoqing Fan, Kangna Cao, Xilin Wu, Xiaoyu Yan

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Xiaoqing FanFaculty of Medicine, School of Pharmacy, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.ORCID 0009-0005-8387-7100
Kangna CaoFaculty of Medicine, School of Pharmacy, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.
Xilin WuCenter for Public Health Research, Medical School, Nanjing University, Nanjing, People's Republic of China.ORCID 0000-0002-2829-6654
Xiaoyu YanFaculty of Medicine, School of Pharmacy, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.ORCID 0000-0002-0009-4313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nb IMPORTANCE: HIV-1 continues to pose a global health crisis, with millions of individuals depending on lifelong antiretroviral therapy, which faces significant challenges such as drug resistance and adherence issues. Nanobodies, which are small antibody fragments, present a promising alternative due to their high specificity, stability, and ease of production. Our study introduces Nb457-NbHSA-Nb457, a novel trimeric nanobody engineered to block HIV-1 entry by binding to CD4, the primary receptor for the virus. Using advanced pharmacokinetic-pharmacodynamic modeling, we predict the behavior of this therapy in humans, effectively bridging preclinical findings to clinical application. This research not only advances a new class of HIV therapeutics but also establishes a framework to expedite the development of nanobody-based drugs for infectious diseases, offering hope for simpler and more effective treatments to combat the pandemic.

Indexed as

Antibodies, NeutralizingAnti-HIV AgentsBroadly Neutralizing AntibodiesCD4 AntigensHIV-1HIV AntibodiesHIV InfectionsSingle-Domain AntibodiesAnimalsCamelids, New WorldFemaleHumansMiceViral LoadAntibodies, NeutralizingAnti-HIV AgentsBroadly Neutralizing AntibodiesCD4 AntigensHIV AntibodiesSingle-Domain Antibodiesanti-CD4 nanobodyHIV-1Nb457-NbHSA-Nb457pharmacokinetic-pharmacodynamic modelingtarget-mediated drug disposition

Identifiers

PMID40970711
PMCPMC12584636

What OpenQuestion holds

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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.