Evidence map›Paper›PMID 33083118›Full record

ArticlePeerJ2020

Plasma miRNA profiles associated with stable warfarin dosage in Chinese patients.

Li Zhao, Jin Wang, Shaoxin Shi, Yuan Wu, Jumei Liu, Shiwei He, Yue Zou, Huabin Xie, Shengxiang Ge, Huiming Ye

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Li Zhao *School of Medicine, Xiamen University, Xiamen, China.
Jin Wang *National Institute of Diagnostics and Vaccine Development in Infectious Diseases , School of Public Health, Xiamen University, Xiamen, China.
Shaoxin ShiDepartment of Clinical Laboratory, Haicang Hospital, Xiamen, China.
Yuan WuXiamen Cardiovascular Hospital, School of Medicine, Xiamen University, Xiamen, China.
Jumei LiuDepartment of Clinical Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China.
Shiwei HeDepartment of Clinical Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China.
Yue ZouDepartment of Clinical Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China.
Huabin XieXiamen Cardiovascular Hospital, School of Medicine, Xiamen University, Xiamen, China.
Shengxiang GeNational Institute of Diagnostics and Vaccine Development in Infectious Diseases , School of Public Health, Xiamen University, Xiamen, China.
Huiming YeSchool of Medicine, Xiamen University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe used bioinformatic analysis and quantitative reverse transcription polymerase chain reaction (RT-qPCR) assays to investigate the association between plasma microRNAs (miRNAs) and stable warfarin dosage in a Chinese Han population.

methodsBioinformatics analysis was used to screen out potential warfarin dose-associated miRNAs. Three plasma miRNAs were validated in 99 samples by RT-qPCR. Kruskal-Wallis test and multivariate logistic regression were used to compare differences in plasma miRNAs expression levels between three warfarin dosage groups.

resultsThere were significant between-group differences among the three dose groups for hsa-miR-133b expression (

conclusionmiRNAs have received extensive attention as ideal biomarkers and possible therapeutic targets for various diseases. However, they are not yet widely used in precision medicine. Our results indicate that hsa-miR-133b may be a possible reference factor for the warfarin dosage algorithm. These findings emphasize the importance of a comprehensive evaluation of complex relationships in warfarin dose prediction models and provide new avenues for future pharmacogenomics studies.

Indexed as

Bioinformatic analysisMicroRNAsStable dosageWarfarin

Identifiers

PMID33083118
PMCPMC7566751

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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.