Evidence map›Paper›PMID 36582064›Full record

ReviewCurrent neuropharmacology2023

Pharmacogenomics-a New Frontier for Individualized Treatment of Parkinson's Disease.

Jia-Si Liu, Ying Chen, Dan-Dan Shi, Bao-Rong Zhang, Jia-Li Pu

Open access · greenAbstract readReview
In one paragraph

Review in Current neuropharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Pharmacogenetics in advanced Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Genetic Testing of Movements Disorders: A Review of Clinical Utility.Tremor and other hyperkinetic movements (New York, N.Y.) · 2024
    Review
  7. Article
  8. 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

5 authors at 1 institution in 1 country.

Jia-Si LiuDepartment of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
Ying ChenDepartment of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
Dan-Dan ShiDepartment of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
Bao-Rong ZhangDepartment of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
Jia-Li PuDepartment of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is the second most common neurodegenerative disease with a significant public health burden. It is characterized by the gradual degeneration of dopamine neurons in the central nervous system. Although symptomatic pharmacological management remains the primary therapeutic method for PD, clinical experience reveals significant inter-individual heterogeneity in treatment effectiveness and adverse medication responses. The mechanisms behind the observed interindividual variability may be elucidated by investigating the role of genetic variation in human-to-human variances in medication responses and adverse effects.

objectiveThis review aims to explore the impact of gene polymorphism on the efficacy of antiparkinsonian drugs. The identification of factors associated with treatment effectiveness variability might assist the creation of a more tailored pharmacological therapy with higher efficacy, fewer side outcomes, and cheaper costs.

methodsIn this review, we conducted a thorough search in databases such as PubMed, Web of Science, and Google Scholar, and critically examined current discoveries on Parkinson's disease pharmacogenetics. The ethnicity of the individuals, research methodologies, and potential bias of these studies were thoroughly compared, with the primary focus on consistent conclusions.

resultsThis review provides a summary of the existing data on PD pharmacogenetics, identifies its limitations, and offers insights that may be beneficial for future research. Previous studies have investigated the impact of gene polymorphism on the effectiveness and adverse effects of levodopa. The trendiest genes are the COMT gene, DAT gene, and DRD2 gene. However, limited study on other anti-Parkinson's drugs has been conducted.

conclusionTherefore, In order to develop an individualized precision treatment for PD, it is an inevitable trend to carry out multi-center, prospective, randomized controlled clinical trials of PD pharmacogenomics covering common clinical anti-PD drugs in large, homogeneous cohorts.

Indexed as

Drug-Related Side Effects and Adverse ReactionsNeurodegenerative DiseasesParkinson DiseaseAntiparkinson AgentsHumansLevodopaPharmacogeneticsProspective StudiesAntiparkinson AgentsLevodopadrug responsegenetic phenotypesgenetic polymorphismindividualized medicineParkinson’s diseasepharmacogenomics

Identifiers

PMID36582064
PMCPMC10207905
OpenAlexW4313312448

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.