Evidence map›Paper›PMID 29964181›Full record

ReviewDrug discovery today2018

Mapping genes for drug chronotherapy.

Kun Wei, Qian Wang, Jingwen Gan, Shilong Zhang, Meixia Ye, Claudia Gragnoli, Rongling Wu

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Drug discovery today, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. International journal of molecular sciences · 2022
    Review
  3. Article
  4. Melatonin decreases cocaine-induced locomotor activity in pinealectomized rats.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2020
    Article
  5. Circadian rhythms: a regulator of gastrointestinal health and dysfunction.Expert review of gastroenterology & hepatology · 2019
    Review
  6. 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

7 authors at 3 institutions in 2 countries.

Kun WeiCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Qian WangCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Jingwen GanCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Shilong ZhangCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Meixia YeCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Claudia GragnoliDivision of Endocrinology, Diabetes, and Metabolic Disease, Translational Medicine, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA; Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA; Molecular Biology Laboratory, Bios Biotech Multi Diagnostic Health Center, Rome 00197, Italy.
Rongling WuCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China; Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA; Center for Statistical Genetics, Departments of Public Health Sciences and Statistics, Pennsylvania State University, Hershey, PA 17033, USA. Electronic address: rwu@bjfu.edu.cn.
Beijing Forestry University · CNPennsylvania State University · USThomas Jefferson University · US

Funding

Constitutive and Agent-Based Multiscale Models to Improve Vein Graft SurvivalU01HL119178 · NHLBI · UNIVERSITY OF FLORIDA · PI BERCELI, SCOTT A, GARBEY, MARC · 2013 to 2018
$2.7M
Genetic Neuro-Endocrine Role in Depression and Type 2 DiabetesR01HD086911 · NICHD · THOMAS JEFFERSON UNIVERSITY · PI GRAGNOLI, CLAUDIA · 2016 to 2020
$1.5M
NHLBI NIH HHS U01 HL119178NICHD NIH HHS R01 HD086911
6 · The paper itself

Abstract

Genome-wide association studies have been increasingly used to map and characterize genes that contribute to interindividual variation in drug response. Some studies have integrated the pharmacokinetic (PK) and pharmacodynamic (PD) processes of drug reactions into association mapping, gleaning new insight into how genes determine the dynamic relationship of drug effect and drug dose. Here, we present an evolutionary framework by which two distinct concepts, chronopharmacodynamics and heterochrony (describing variation in the timing and rate of developmental events), are married to comprehend the pharmacogenetic architecture of drug response. The resulting new concept, heterochronopharmacodynamics (HCPD), can better interpret how genes influence drug efficacy and drug toxicity according to the circadian rhythm of the body and changes in drug concentration.

Indexed as

Chromosome MappingDrug ChronotherapyAnimalsGenome-Wide Association StudyHumansModels, Biological

Identifiers

PMID29964181
PMCPMC6263156
OpenAlexW2810356763

What OpenQuestion holds

Textmetadata
LicenceTDM
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.