Evidence map›Paper›PMID 36802026›Full record

SynthesisClinical pharmacokinetics2023

A Model-Informed Approach to Accelerate the Clinical Development of Janagliflozin, an Innovative SGLT2 Inhibitor.

Ling Song, Xiaoxu Wang, Jingfang Sun, Xinyu Hu, Haiyan Li, Pei Hu, Dongyang Liu

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Clinical pharmacokinetics, 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
1.0field-weighted citation impact, top 23% 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, 5 citations in OpenAlex.

  1. Trial
  2. MIDD Evidence to Support Drug Regulatory Decisions in China.Clinical and translational science · 2026
    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

7 authors at 3 institutions in 1 country.

Ling Song *Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Xiaoxu Wang *Drug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Jingfang SunHuisheng Bio-pharmaceutical Co., Ltd, Jilin, 135099, China.
Xinyu HuHuisheng Bio-pharmaceutical Co., Ltd, Jilin, 135099, China.
Haiyan LiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Pei HuClinical Pharmacology Research Center, Peking Union Medical College Hospital & Chinese Academy of Medical Sciences, Beijing, 100032, China. hubei01_pumch@163.com.
Dongyang LiuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China. liudongyang@vip.sina.com.ORCID 0000-0001-6446-0127
Peking University · CNBuchang Pharma (China) · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo apply model-informed drug development (MIDD) approach to support the decision making in drug development and accelerate the clinical development of janagliflozin, an orally selective SGLT2 inhibitor.

methodWe previously developed a mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model of janagliflozin based on preclinical data to optimize dose design in the first-in-human (FIH) study. In the current study, we used clinical PK/PD data of the FIH study to validate the model and then simulate the PK/PD profiles of multiple ascending dosing (MAD) study in healthy subjects. Besides, we developed a population PK/PD model of janagliflozin to predict steady-state urinary glucose excretion (UGE [UGE,ss]) in healthy subjects in the Phase 1 stage. This model was subsequently used to simulate the UGE, ss in patients with type 2 diabetes mellitus (T2DM) based on a unified PD target (ΔUGEc) across healthy subjects and patients with T2DM. This unified PD target was estimated from our previous work of model-based meta-analysis (MBMA) for the same class of drugs. The model-simulated UGE,ss in patients with T2DM was validated by data from the clinical Phase 1e study. Finally, at the end of the Phase 1 study, we simulated the 24-week hemoglobin A1c (HbA1c) level in patients with T2DM of janagliflozin based on the quantitative UGE/FPG/HbA1c relationship informed by our previous MBMA study for the same class of drugs.

resultsThe pharmacologically active dose (PAD) levels of multiple ascending dosing (MAD) study were estimated to be 25, 50,100 mg once daily (QD) for 14 days based on the effective PD target of approximately 50 g daily UGE in healthy subjects. Besides, our previous MBMA analysis for the same class of drugs has provided a unified effective PD target of ΔUGEc approximately 0.5-0.6 g/(mg/dL) in both healthy subjects and patients with T2DM. In this study, the model-simulated steady-state ΔUGEc (ΔUGEc,ss) of janagliflozin in patients with T2DM were 0.52, 0.61 and 0.66 g/(mg/dL) for 25, 50, 100 mg QD dose levels. Finally, we estimated that HbA1c at 24 weeks would decrease 0.78 and 0.93 from baseline for the 25 and 50 mg QD dose groups.

conclusionsThe application of MIDD strategy adequately supported the decision making at each stage of janagliflozin development process. A waiver of Phase 2 study was successfully approved for janagliflozin based on these model-informed results and suggestions. This MIDD strategy of janagliflozin could be further utilized to support the clinical development of other SGLT2 inhibitors.

Indexed as

Diabetes Mellitus, Type 2Sodium-Glucose Transporter 2 InhibitorsBlood GlucoseDose-Response Relationship, DrugGlycated HemoglobinHumansHypoglycemic AgentsBlood GlucoseGlycated HemoglobinHypoglycemic AgentsSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID36802026
OpenAlexW4321349659

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.