Evidence map›Paper›PMID 32361904›Full record

ArticleEuropean journal of clinical pharmacology2020

Effects of ABCG2 and SLCO1B1 gene variants on inflammation markers in patients with hypercholesterolemia and diabetes mellitus treated with rosuvastatin.

Dan Zhang, Yangming Ding, Xiaoxue Wang, Wenyu Xin, Wenwen Du, Wenqian Chen, Xianglin Zhang, Pengmei Li

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Evaluating genotype-treatment interactions for high-risk medications in British general practice: a retrospective cohort study using UK Biobank.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The frequency of rs2231142 inPharmacogenomics · 2023
    Review
  9. Article
  10. Review
  11. Variants inPharmaceutics · 2021
    Article
  12. Polymorphisms of the genesF1000Research · 2021
    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

8 authors at 2 institutions in 1 country.

Dan ZhangDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, 100029, China.ORCID http://orcid.org/0000-0003-0122-5036
Yangming DingDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, 100029, China.
Xiaoxue WangDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, 100029, China.
Wenyu XinDepartment of Pharmacology, School of Pharmacy, Binzhou Medical University, Yantai, 264003, China.
Wenwen DuDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, 100029, China.
Wenqian ChenDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, 100029, China.
Xianglin ZhangDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, 100029, China.
Pengmei LiDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, 100029, China. lipengmei@yeah.net.
China-Japan Friendship Hospital · CNBinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDysregulation of angiogenesis and inflammation play important roles in the development of atherosclerosis. Rosuvastatin (RST) was widely used in atherosclerosis therapy. Genetic variations of transporters may affect the rosuvastatin concentration in plasma and reflect different clinical treatment. The aim of this study was to explore the drug transport related single-nucleotide polymorphisms (SNPs) on RST pharmacokinetic and the further on pro-angiogenic and pro-inflammatory factors.

methodsA total of 269 Chinese patients with hypercholesterolemia and diabetes mellitus were enrolled. They were treated with RST to lower cholesterol. The plasma concentration of RST was determined using a validated UPLC-MS/MS method. Seven single-nucleotide polymorphisms (SNPs) in six genes were genotyped using the Sanger dideoxy DNA sequencing method. The serum concentrations of inflammation markers were determined using ELISA kits.

resultsABCG2 421C > A (rs2231142) and SLCO1B1 521 T > C (rs4149056) variations were highly associated with plasma concentrations of RST (P < 0.01, FDR < 0.05). The serum MCP-1, sVCAM-1, and TNF-α levels were significantly different between the ABCG2 421C > A and SLCO1B1 521 T > C genetic variation groups (P < 0.01). RST concentration was negatively correlated with sVCAM-1 concentration (r = 0.150, P = 0.008).

conclusionABCG2 421C > A (rs2231142) and SLCO1B1 521 T > C (rs4149056) genetic variants affect RST concentration significantly and potentially affect serum levels of pro-inflammatory and pro-angiogenic markers. The effects on anti-inflammation might not be related to high plasma exposure of RST.

Indexed as

Anti-Inflammatory AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsRosuvastatin CalciumAgedAsian PeopleATP Binding Cassette Transporter, Subfamily G, Member 2CytokinesDiabetes MellitusFemaleGenotypeHumansHypercholesterolemiaLiver-Specific Organic Anion Transporter 1MaleMiddle AgedNeoplasm ProteinsABCG2 protein, humanAnti-Inflammatory AgentsATP Binding Cassette Transporter, Subfamily G, Member 2CytokinesHydroxymethylglutaryl-CoA Reductase InhibitorsLiver-Specific Organic Anion Transporter 1Neoplasm ProteinsRosuvastatin CalciumSLCO1B1 protein, humanAnti-inflammationDiabetes mellitusGene polymorphismHypercholesterolemiaPlasma concentrationRosuvastatin

Identifiers

PMID32361904
OpenAlexW3023548724

What OpenQuestion holds

Texttitle and abstract
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.