Evidence map›Paper›PMID 37532063›Full record

ArticleEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences2023

Dose decision of HSK7653 oral immediate release tablets in specific populations clinical trials based on mechanistic physiologically-based pharmacokinetic model.

Miao Zhang, Shudong Zhang, Zhiheng Yu, Xueting Yao, Zihan Lei, Pangke Yan, Nan Wu, Xu Wang, Qin Hu, Dongyang Liu

Open access · goldAbstract read
In one paragraph

Article in European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 2 countries.

Miao ZhangDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China; Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States.
Shudong ZhangBeijing Institute for Drug Control, NMPA Key Laboratory for Research and Evaluation of Generic Drugs, Beijing Key Laboratory of Analysis and Evaluation on Chinese Medicine, Beijing, China.
Zhiheng YuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China; Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Xueting YaoDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Zihan LeiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China.
Pangke YanHaisco Pharmaceutical Group Co., Ltd., Chengdu, China.
Nan WuHaisco Pharmaceutical Group Co., Ltd., Chengdu, China.
Xu WangHaisco Pharmaceutical Group Co., Ltd., Chengdu, China.
Qin HuBeijing Institute for Drug Control, NMPA Key Laboratory for Research and Evaluation of Generic Drugs, Beijing Key Laboratory of Analysis and Evaluation on Chinese Medicine, Beijing, China.
Dongyang LiuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, China. Electronic address: liudongyang@vip.sina.com.
Peking University · CNChina National Pharmaceutical Group Corporation (China) · CNNational Medical Products Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HSK7653, an oral dipeptidyl peptidase-4 inhibitor administered every 2 weeks, is a candidate for the treatment of type 2 diabetes mellitus. The major elimination pathway of HSK7653 in vivo is renal excretion, and hepatic metabolism and fecal excretion of unchanged compound contribute less to the systemic clearance of HSK7653. Considering the disposition characteristics and the potential indication population of HSK7653, evaluating the HSK7653 exposure in patients with renal impairment and geriatric populations is a prerequisite for bringing more benefits to the patients. Here, a PBPK model was developed based on in vitro experimental results, such as dissolution, permeability, and metabolism, and the in vivo renal clearance, to evaluate the effects of physiological factors and food on HSK7653 exposure in specific populations, including adult and elder individuals with renal impairment and geriatric populations. Simulation results showed that the AUC of HSK7653 increased by 46%, 82%, and 129% in adult patients with mild, moderate, and severe renal impairment, and by 56%, 78%, and 101% in patients aged 65-75, 75-85 and 85-95 years, respectively. The AUC increased in the range of 62%-83%, 98%-133%, and 153%-195% in elderly patients (65-95 years) with mild, moderate, and severe renal impairment, respectively. Moreover, two different absorption model development methods (dissolution profile method and the diffusion layer model method) predicted that food had no effect on the exposure of the same simulated population. Since the predicted AUC of HSK7653 at the 10 mg dose in various specific populations was still within the relatively flat results of the exposure-response analysis, the 10 mg dose of HSK7653 was first used to explore the exposure in the renal impairment population (CTR20221952).

Indexed as

Diabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsAdministration, OralAdultAgedComputer SimulationHumansModels, BiologicalRenal EliminationTabletsDipeptidyl-Peptidase IV InhibitorsTabletsFood effectHSK7653 PBPK modelSpecific populationSystemic exposure

Identifiers

PMID37532063
PMCPMC10485820
OpenAlexW4385431559

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.