Evidence map›Paper›PMID 31254178›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2019

Effects of UGT1A1 Polymorphism, Gender and Triglyceride on the Pharmacokinetics of Telmisartan in Chinese Patients with Hypertension: A Population Pharmacokinetic Analysis.

Lu Huang, Liu Yang, Jie Huang, Hong-Yi Tan, Shi-Kun Liu, Cheng-Xian Guo, Xiao-Cong Zuo, Guo-Ping Yang, Qi Pei

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In one paragraph

Article in European journal of drug metabolism and pharmacokinetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

9 authors at 1 institution in 1 country.

Lu HuangDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, People's Republic of China.ORCID http://orcid.org/0000-0002-3109-8552
Liu YangReproductive and Genetic Hospital of Citic-Xiangya, Changsha, Hunan, 410013, People's Republic of China.
Jie HuangDepartment of Pharmacy and Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Hunan, 410013, People's Republic of China.
Hong-Yi TanDepartment of Pharmacy and Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Hunan, 410013, People's Republic of China.
Shi-Kun LiuDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, People's Republic of China.
Cheng-Xian GuoDepartment of Pharmacy and Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Hunan, 410013, People's Republic of China.
Xiao-Cong ZuoDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, People's Republic of China.
Guo-Ping YangDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, People's Republic of China. ygp9880@126.com.
Qi PeiDepartment of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, People's Republic of China. peiqi1028@126.com.
Central South University · CN

Funding

Health Department Foundation of Hunan Province 132013-028International Science & Technology Cooperation Program of China 2014DFA30900National Natural Science Foundation of China 81302851The New Xiangya Talent Projects of the Third Xiangya Hospital of Central South University JY201616
6 · The paper itself

Abstract

BACKGROUND AND

objectiveTelmisartan is an angiotensin receptor blocker used for the treatment of hypertension. The effects of gender and uridine diphosphate-glycosytransferase 1A1 (UGT1A1) genetic polymorphisms (rs4124874, rs4148323, and rs6742078) on telmisartan plasma concentration and blood pressure in Chinese patients with hypertension have been reported previously. In this study, we aimed to develop a population pharmacokinetic (PopPK) model to quantify the effects of gender and UGT1A1 polymorphisms on the pharmacokinetics of telmisartan.

methodsPopulation pharmacokinetic analyses were performed using data collected prospectively from 58 Chinese patients with mild to moderate essential hypertension (aged 45-72 years; 36 men, 22 women) receiving 80 mg/day telmisartan orally for 4 weeks. Blood samples were collected in heparinized tubes at 0, 0.5, 1, and 6 h on day 28 after telmisartan administration. The plasma concentrations and UGT1A1 genetic variants were determined by high-performance liquid chromatography-mass spectrometry and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, respectively.

resultsA two-compartment pharmacokinetic structural model with first-order elimination and absorption best described the pharmacokinetic characteristics of telmisartan. Gender and triglyceride influenced the apparent oral clearance (CL) of telmisartan. UGT1A1 (rs4124874) affected the bioavailability (F1) of telmisartan. Lower CL and bioavailability resulted in higher plasma concentrations being observed in female subjects with UGT1A1 CC or CA genotype and high triglyceride.

conclusionA PopPK model of telmisartan was established to confirm that UGT1A1 genotype, gender and triglyceride can affect the pharmacokinetics of telmisartan in Chinese patients with hypertension. Our findings can provide relevant pharmacokinetic parameters for further study of telmisartan.

Indexed as

AdultAgedAngiotensin II Type 1 Receptor BlockersAntihypertensive AgentsAsian PeopleBlood PressureFemaleGenotypeGlucuronosyltransferaseHumansHypertensionMaleMiddle AgedPolymorphism, Single NucleotideTelmisartanUGT1A1 EnzymeAngiotensin II Type 1 Receptor BlockersAntihypertensive AgentsGlucuronosyltransferaseTelmisartanUGT1A1 Enzyme

Identifiers

PMID31254178
OpenAlexW2954091832

What Socratic holds

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Registered trials

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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 Socratic graph.