Evidence map›Paper›PMID 39770463›Full record

ArticlePharmaceuticals (Basel, Switzerland)2024

Predicting Pharmacokinetics of Active Constituents in

Xiaoyan Liu, Ruihu Du, Tao Zhang, Yingzi Li, Ludi Li, Zheng Yang, Youbo Zhang, Qi Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2024. 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

8 authors.

Xiaoyan LiuDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Ruihu DuDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Tao ZhangDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Yingzi LiDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Ludi LiDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Zheng YangDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Youbo ZhangState Key Laboratory of Natural and Biomimetic Drugs, Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.ORCID 0000-0003-4650-8654
Qi WangDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-2653-3310

Funding

Natural Science Foundation of Beijing Municipality 7224360
6 · The paper itself

Abstract

BACKGROUND/

objectivesSpatholobi Caulis (SPC) is a medicinal plant that mainly grows in China and Southeast Asian countries and commonly used in clinics; the pharmacokinetic characteristics in humans need to be determined. This study was to establish the physiologically based pharmacokinetic (PBPK) models of multiple active constituents from SPC in rats, and predict the pharmacokinetic properties of rats with different dosages and extrapolated to humans.

methodsThe parameters were collected based on our previous study and by prediction using ADMET Predictor software predict. The PBPK models for 3'-methoxydadizein (

resultThe FE values ranged from 1.03 to 1.52, meeting the PBPK model regulations where FE should be less than 2. The sensitivity analysis focusing on the absorption amount and

conclusionsThe PBPK models of four constituents can be used to predict the pharmacokinetic characteristics in humans after oral administration of SPC and provide useful data for safe and rational medication in clinical practice.

Indexed as

extrapolationoral administrationpharmacokinetic characteristicsphysiologically based pharmacokinetic model

Identifiers

PMID39770463
PMCPMC11677527

What OpenQuestion holds

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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.