Evidence map›Paper›PMID 31527517›Full record

ArticleBiomolecules2019

Utilizing the Combination of Binding Kinetics and Micro-Pharmacokinetics Link in Vitro α-Glucosidase Inhibition to in Vivo Target Occupancy.

Guopeng Wang, Yanhua Ji, Xueyan Li, Qian Wang, Hang Gong, Baoshun Wang, Yang Liu, Yanli Pan

Abstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Mechanism ofFrontiers in nutrition · 2021
    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.

Guopeng WangZhongcai Health (Beijing) Biological Technology Development Co., Ltd., Beijing 101500, China. binglelly@163.com.
Yanhua JiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China. 20170931834@bucm.edu.cn.
Xueyan LiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China. 20180935003@bucm.edu.cn.
Qian WangState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China. qian.wang@bjmu.edu.cn.
Hang GongSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China. gonghang0620@163.com.
Baoshun WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China. 20170223038@bucm.edu.cn.
Yang LiuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China. liuyang@bucm.edu.cn.
Yanli PanInstitute of Information on Traditional Chinese Medicine China Academy of Chinese Medical Sciences, Beijing 100700, China. panyl@mail.cintcm.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many compounds with good inhibitory activity (i.e., high affinity) within in vitro experiments failed in vivo studies due to a lack of efficacy from limited target occupancy (TO) in the drug discovery process. Recently, it was found that rate constants of the formation and dissociation of the binary drug-target complex, rather than affinity, often govern in vivo efficacy. Therefore, the binding kinetics (BK) properties of compound-target interaction are emerging as a pivotal parameter. However, it is obvious that BK rate constants of the compound against target would not be directly linked to the in vivo TO unless the compound concentration in the target vicinity at any time point (TPK) can be evaluated. Here, we developed a novel simulation model to quantitate the dynamic change of target engagement over time in rat with a combined use of BK and TPK features of Epicatechin gallate (ECG) and epigallocatechin gallate (EGCG) on the basis of α-glucosidase (AGH). Analysis of the results displayed that the percent of maximum AGH occupancies by the ECG were varied significantly from 48.9 to 95.3% and by the EGCG slightly from 96 to 99.8%; that the time course of above 70% engagement by ECG spanned a range from 0 to 0.64 h and by EGCG a range of 1.5 to 8.9 h in four different intestinal segments of the rat. It was clearly analyzed how each parameter in the simulation model effected on the in vivo the AGH engagement by ECG and EGCG. Our results provide a novel approach for assessing the potential inhibitory activity of the compounds against AGH.

Indexed as

alpha-GlucosidasesAnimalsCatechinGlycoside Hydrolase InhibitorsIntestinal AbsorptionModels, BiologicalRatsSaccharomyces cerevisiaeSaccharomyces cerevisiae Proteinsalpha-GlucosidasesCatechinepicatechin gallateepigallocatechin gallateGlycoside Hydrolase InhibitorsSaccharomyces cerevisiae Proteinsbinding kineticsBK-TPK modeltarget occupancyα-glucosidase

Identifiers

PMID31527517
PMCPMC6770063

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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.