Evidence map›Paper›PMID 35847040›Full record

ArticleFrontiers in pharmacology2022

Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform.

Md Kabir, Elias C Padilha, Pranav Shah, Ruili Huang, Srilatha Sakamuru, Eric Gonzalez, Lin Ye, Xin Hu, Mark J Henderson, Menghang Xia and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

11 authors at 2 institutions in 1 country.

Md KabirDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Elias C PadilhaDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Pranav ShahDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Ruili HuangDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Srilatha SakamuruDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Eric GonzalezDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Lin YeDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Xin HuDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Mark J HendersonDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Menghang XiaDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
Xin XuDivision of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States.
National Center for Advancing Translational Sciences · USNational Institutes of Health · US

Funding

Pharmacokinetics and Drug MetabolismZIATR000369 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI XU, XIN · 2018 to 2025
$27.3M
TRAINING PROGRAM IN CANCER THERAPYT32CA078207 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI James J Manfredi · 1999 to 2026
$11.6M
Toxicology in the 21st Century Program (Tox21) - Systems ToxicologyZIATR000038 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI XIA, MENGHANG · 2015 to 2025
$5.7M
Toxicology in the 21st Century Program (Tox21) - Computational ToxicologyZIATR000040 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI HUANG, RUILI · 2016 to 2025
$3.5M
NCI NIH HHS T32 CA078207
6 · The paper itself

Abstract

Cytochrome P450 (CYP) 3A7 is one of the major xenobiotic metabolizing enzymes in human embryonic, fetal, and newborn liver. CYP3A7 expression has also been observed in a subset of the adult population, including pregnant women, as well as in various cancer patients. The characterization of CYP3A7 is not as extensive as other CYPs, and health authorities have yet to provide guidance towards DDI assessment. To identify potential CYP3A7-specific molecules, we used a P450-Glo CYP3A7 enzyme assay to screen a library of ∼5,000 compounds, including FDA-approved drugs and drug-like molecules, and compared these screening data with that from a P450-Glo CYP3A4 assay. Additionally, a subset of 1,000 randomly selected compounds were tested in a metabolic stability assay. By combining the data from the qHTS P450-Glo and metabolic stability assays, we identified several chemical features important for CYP3A7 selectivity. Halometasone was chosen for further evaluation as a potential CYP3A7-selective inhibitor using molecular docking. From the metabolic stability assay, we identified twenty-two CYP3A7-selective substrates over CYP3A4 in supersome setting. Our data shows that CYP3A7 has ligand promiscuity, much like CYP3A4. Furthermore, we have established a large, high-quality dataset that can be used in predictive modeling for future drug metabolism and interaction studies.

Indexed as

CYP3A4CYP3A7cytochrome P450drug metabolisminhibitorsneonatesqHTS data analysissubstrates

Identifiers

PMID35847040
PMCPMC9283723
OpenAlexW4283740947

What Socratic 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 Socratic graph.