Evidence map›Paper›PMID 30274310›Full record

ReviewHigh-throughput2018

Current High-Throughput Approaches of Screening Modulatory Effects of Xenobiotics on Cytochrome P450 (CYP) Enzymes.

Yee Tze Ung, Chin Eng Ong, Yan Pan

Open access · goldAbstract readReview
In one paragraph

Review in High-throughput, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  14. Change of Title: FromBiotech (Basel (Switzerland)) · 2020
    Article
  15. Review
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  18. Effects of mongolian medicineInternational journal of clinical and experimental pathology · 2020
    Article
  19. 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

3 authors at 2 institutions in 1 country.

Yee Tze UngDepartment of Biomedical Science, the University of Nottingham Malaysia Campus, Jalan Broga, Semenyih 43500, Selangor, Malaysia. khyy6uyt@nottingham.edu.my.
Chin Eng OngSchool of Pharmacy, International Medical University, Bukit Jalil 57000, Wilayah Persekutuan Kuala Lumpur, Malaysia. ceong98@hotmail.com.
Yan PanDepartment of Biomedical Science, the University of Nottingham Malaysia Campus, Jalan Broga, Semenyih 43500, Selangor, Malaysia. panyan1980@hotmail.com.
University of Nottingham Malaysia Campus · MYInternational Medical University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytochrome P450 (CYP) is a critical drug-metabolizing enzyme superfamily. Modulation of CYP enzyme activities has the potential to cause drug⁻drug/herb interactions. Drug⁻drug/herb interactions can lead to serious adverse drug reactions (ADRs) or drug failures. Therefore, there is a need to examine the modulatory effects of new drug entities or herbal preparations on a wide range of CYP isoforms. The classic method of quantifying CYP enzyme activities is based on high-performance liquid chromatography (HPLC), which is time- and reagent-consuming. In the past two decades, high-throughput screening methods including fluorescence-based, luminescence-based, and mass-spectrometry-based assays have been developed and widely applied to estimate CYP enzyme activities. In general, these methods are faster and use lower volume of reagents than HPLC. However, each high-throughput method has its own limitations. Investigators may make a selection of these methods based on the available equipment in the laboratory, budget, and enzyme sources supplied. Furthermore, the current high-throughput systems should look into developing a reliable automation mechanism to accomplish ultra-high-throughput screening in the near future.

Indexed as

cytochrome P450high-throughput screeninginhibitory effectsin vitro

Identifiers

PMID30274310
PMCPMC6306765
OpenAlexW2895317428

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.