Evidence map›Paper›PMID 22583407›Full record

ReviewAnti-cancer agents in medicinal chemistry2012

Bioavailability and pharmacokinetics of genistein: mechanistic studies on its ADME.

Zhen Yang, Kaustubh Kulkarni, Wei Zhu, Ming Hu

Abstract readReview
In one paragraph

Review in Anti-cancer agents in medicinal chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

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  13. BiphasicCurrent issues in molecular biology · 2025
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57 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

4 authors.

Zhen YangDepartment of Pharmacological and Pharmaceutical Science, College of Pharmacy, University of Houston, Houston, TX 77030, USA.
Kaustubh Kulkarni
Wei Zhu
Ming Hu

Funding

Disposition of Flavonoids via Metabolic InterplayR01GM070737 · NIGMS · UNIVERSITY OF HOUSTON · PI HU, MING · 2006 to 2017
$3.7M
NIGMS NIH HHS GM070737NIGMS NIH HHS R01 GM070737
6 · The paper itself

Abstract

Genistein, one of the most active natural flavonoids, exerts various biological effects including chemoprevention, antioxidation, antiproliferation and anticancer. More than 30 clinical trials of genistein with various disease indications have been conducted to evaluate its clinical efficacy. Based on many animals and human pharmacokinetic studies, it is well known that the most challenge issue for developing genistein as a chemoprevention agent is the low oral bioavailability, which may be the major reason relating to its ambiguous therapeutic effects and large interindividual variations in clinical trials. In order to better correlate pharmacokinetic to pharmacodynamics results in animals and clinical studies, an in-depth understanding of pharmacokinetic behavior of genistein and its ADME properties are needed. Numerous in vitro/in vivo ADME studies had been conducted to reveal the main factors contributing to the low oral bioavailability of genistein. Therefore, this review focuses on summarizing the most recent progress on mechanistic studies of genistein ADME and provides a systemic view of these processes to explain genistein pharmacokinetic behaviors in vivo. The better understanding of genistein ADME property may lead to development of proper strategy to improve genistein oral bioavailability via mechanism-based approaches.

Indexed as

Models, BiologicalAbsorptionAdministration, OralAnimalsAnticarcinogenic AgentsBiological AvailabilityGenisteinHumansInjections, IntraperitonealInjections, IntravenousMetabolic Clearance RateMolecular StructureTissue DistributionAnticarcinogenic AgentsGenistein

Identifiers

PMID22583407
PMCPMC4010305

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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.