Evidence map›Paper›PMID 19408130›Full record

ReviewThe AAPS journal2009

Prediction of hepatic clearance in human from in vitro data for successful drug development.

Masato Chiba, Yasuyuki Ishii, Yuichi Sugiyama

Abstract readReview
In one paragraph

Review in The AAPS journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Article
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  6. Article
  7. Review
  8. Species Dependent Metabolism of a Covalent nsP2 Protease Inhibitor withbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Commentary: Pharmacokinetic Theory Must Consider Published Experimental Data.Drug metabolism and disposition: the biological fate of chemicals · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Enabling novel paradigms: a biological questions-based approach to human chemical hazard and drug safety assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Article
  17. EvaluatingFrontiers in pharmacology · 2024
    Review
  18. Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

3 authors.

Masato ChibaDepartment of Preclinical Drug Metabolism and Pharmacokinetics, Tsukuba Research Institute, Banyu Pharmaceutical Co., Ltd., Okubo 3, Tsukuba, Ibaraki, 300-0810, Japan.
Yasuyuki Ishii
Yuichi Sugiyama

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The in vivo metabolic clearance in human has been successfully predicted by using in vitro data of metabolic stability in cryopreserved preparations of human hepatocytes. In the predictions by human hepatocytes, the systematic underpredictions of in vivo clearance have been commonly observed among different datasets. The regression-based scaling factor for the in vitro-to-in vivo extrapolation has mitigated discrepancy between in vitro prediction and in vivo observation. In addition to the elimination by metabolic degradation, the important roles of transporter-mediated hepatic uptake and canalicular excretion have been increasingly recognized as a rate-determining step in the hepatic clearance. It has been, therefore, proposed that the in vitro assessment should allow the evaluation of clearances for both transporter(s)-mediated uptake/excretion and metabolic degradation. This review first outlines the limited ability of subcellular fractions such as liver microsomes to predict hepatic clearance in vivo. It highlights the advantages of cryopreserved human hepatocytes as one of the versatile in vitro systems for the prediction of in vivo metabolic clearance in human at the early development stage. The following section discusses the mechanisms underlying the systematic underprediction of in vivo intrinsic clearance by hepatocytes. It leads to the proposal for the assessment of hepatic uptake clearance as one of the kinetically important determinants for accurate predictions of hepatic clearance in human. The judicious combination of advanced technologies and understandings for the drug disposition allows us to rationally optimize new chemical entities to the drug candidate with higher probability of success during the clinical development.

Indexed as

AlgorithmsAnimalsCarrier ProteinsHepatocytesHumansLiverMicrosomes, LiverPharmaceutical PreparationsPredictive Value of TestsResearchCarrier ProteinsPharmaceutical Preparations

Identifiers

PMID19408130
PMCPMC2691463

What OpenQuestion holds

Textmetadata
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.