Evidence map›Paper›PMID 40206871›Full record

ArticleTranslational and clinical pharmacology2025

Prediction of first-in-human dose for new composition bee venom based on allometric scaling and pharmacokinetic modeling approach.

Soon Uk Chae, Jee Sun Min, Seong Jun Jo, Chae Bin Lee, Jinha Park, Soo Hyeon Bae, Soo Kyung Bae

Abstract read
In one paragraph

Article in Translational and clinical pharmacology, 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. Article
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.

Soon Uk ChaeCollege of Pharmacy and Integrated Research Institute of Pharmaceutical Sciences, The Catholic University of Korea, Bucheon 14662, Korea.ORCID https://orcid.org/0000-0002-4367-9004
Jee Sun MinCollege of Pharmacy and Integrated Research Institute of Pharmaceutical Sciences, The Catholic University of Korea, Bucheon 14662, Korea.ORCID https://orcid.org/0000-0002-0909-116X
Seong Jun JoCollege of Pharmacy and Integrated Research Institute of Pharmaceutical Sciences, The Catholic University of Korea, Bucheon 14662, Korea.ORCID https://orcid.org/0009-0002-6838-2861
Chae Bin LeeJohns Hopkins Drug Discovery, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.ORCID https://orcid.org/0000-0003-4551-9191
Jinha ParkAIMS BioScience, Seoul 06591, Korea.ORCID https://orcid.org/0009-0005-7903-8793
Soo Hyeon BaeAIMS BioScience, Seoul 06591, Korea.ORCID https://orcid.org/0000-0001-5896-5938
Soo Kyung BaeCollege of Pharmacy and Integrated Research Institute of Pharmaceutical Sciences, The Catholic University of Korea, Bucheon 14662, Korea.ORCID https://orcid.org/0000-0001-7258-7187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bee venom is a traditional remedy used to treat conditions related to the nervous and musculoskeletal systems, as well as autoimmune diseases. Recently, we developed a new composition bee venom (NCBV), a fortified content of bee venom phospholipase A2 (bvPLA2), which may be effective in the treatment of Alzheimer's disease. NCBV is currently preparing to conduct a phase 1 clinical trial, and this study aimed to predict the first-in-human (FIH) dose using a mechanistic approach. First, animal pharmacokinetic (PK) studies from three different species were explored and integrated to build a PK model using nonlinear mixed-effect modeling. The final models were described by two-compartment model with first order absorption and elimination, and were used to define the PK parameters for each species. To predict human PK parameters, simple, brain weight (BrW) or maximum lifespan potential (MLP) incorporated allometric scaling approaches were used, with the BrW method showing the highest correlation (R

Indexed as

Allometric ScalingBee Venom Phospholipase A2FIH DoseNonlinear Mixed-Effect ModelingPharmacokinetics

Identifiers

PMID40206871
PMCPMC11976151

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.