Evidence map›Paper›PMID 41640344›Full record

ArticlePharmacogenomics

Identification and functional characterization of 11 novel

Qinrong Lin, Wenfeng Xu, Qiaoling Zhang, Zebei Lu, Peiwu Geng, Chunhong Chen, Yuntong Ma, Aixia Han, Rucong Liu, Shangqing Wu and 4 more

Abstract read
In one paragraph

Article in Pharmacogenomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Qinrong LinDepartment of Basic Innovation Research, Beijing Hospital, Beijing, China.
Wenfeng XuDepartment of Pharmacy, Beijing Hospital, Beijing, China.
Qiaoling ZhangDepartment of Basic Innovation Research, Beijing Hospital, Beijing, China.
Zebei LuLaboratory of Clinical Pharmacy, Lishui City People's Hospital, Lishui, China.
Peiwu GengLaboratory of Clinical Pharmacy, Lishui City People's Hospital, Lishui, China.
Chunhong ChenDepartment of Basic Innovation Research, Beijing Hospital, Beijing, China.
Yuntong MaDepartment of Basic Innovation Research, Beijing Hospital, Beijing, China.
Aixia HanLaboratory of Clinical Pharmacy, Lishui City People's Hospital, Lishui, China.
Rucong LiuDepartment of Basic Innovation Research, Beijing Hospital, Beijing, China.
Shangqing WuSchool of Basic Medical Sciences, Capital Medical University, Bejing China.
Jianping CaiDepartment of Basic Innovation Research, Beijing Hospital, Beijing, China.
Pengfei JinDepartment of Pharmacy, Beijing Hospital, Beijing, China.
Shuanghu WangLaboratory of Clinical Pharmacy, Lishui City People's Hospital, Lishui, China.
Da-Peng DaiDepartment of Basic Innovation Research, Beijing Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe cytochrome P450 2C19 (CYP2C19) enzyme plays a critical role in the metabolism of several clinically important drugs, but the genetic polymorphisms of

methodsGenomic DNA from 1210 Chinese Han individuals was subjected to next-generation sequencing to screen for CYP2C19 variants, and newly identified mutations were confirmed by Sanger sequencing. CYP2C19 microsomes were expressed in vitro using an insect cell expression system, and their metabolic activity toward (S)-mephenytoin was quantified by ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS).

resultsGenetic screening of

conclusionThis study reveals a high prevalence of functionally impaired rare

Indexed as

Cytochrome P-450 CYP2C19East Asian PeopleAnimalsChinaHumansMephenytoinMicrosomesPolymorphism, GeneticCYP2C19 protein, humanCytochrome P-450 CYP2C19Mephenytoinallelic variantChinese Han populationCYP2C19drug metabolismfunctional characterizationgenetic polymorphism

Identifiers

PMID41640344
PMCPMC12915845

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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.