Evidence map›Paper›PMID 38509677›Full record

ArticleCurrent drug metabolism2024

Association of

Jingwen Yuan, Shuang Fei, Zeping Gui, Zijie Wang, Hao Chen, Li Sun, Jun Tao, Zhijian Han, Xiaobing Ju, Ruoyun Tan and 2 more

Abstract read
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Article in Current drug metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

12 authors.

Jingwen YuanDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Shuang FeiDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Zeping GuiDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Zijie WangDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Hao ChenDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Li SunDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Jun TaoDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Zhijian HanDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Xiaobing JuDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Ruoyun TanDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Min GuDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Zhengkai HuangDepartment of Urology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBK virus (BKV) infection is an opportunistic infectious complication and constitutes a risk factor for premature graft failure in kidney transplantation. Our research aimed to identify associations and assess the impact of single-nucleotide polymorphisms (SNPs) on metabolism-related genes in patients who have undergone kidney transplantation with BKV infection. MATERIAL/

methodsThe DNA samples of 200 eligible kidney transplant recipients from our center, meeting the inclusion criteria, have been collected and extracted. Next-generation sequencing was used to genotype SNPs on metabolism-associated genes (CYP3A4/5/7, UGT1A4/7/8/9, UGT2B7). A general linear model (GLM) was used to identify and eliminate confounding factors that may influence the outcome events. Multiple inheritance models and haplotype analyses were utilized to identify variation loci associated with infection caused by BKV and ascertain haplotypes, respectively.

resultsA total of 141 SNPs located on metabolism-related genes were identified. After Hardy-Weinberg equilibrium (HWE) and minor allele frequency (MAF) analysis, 21 tagger SNPs were selected for further association analysis. Based on GLM results, no confounding factor was significant in predicting the incidence of BK polyomavirus-associated infection. Then, multiple inheritance model analyses revealed that the risk of BKV infection was significantly associated with rs3732218 and rs4556969. Finally, we detect significant associations between haplotype T-A-C of block 2 (rs4556969, rs3732218, rs12468274) and infection caused by BKV (P = 0.0004).

conclusionWe found that genetic variants in the UGT1A gene confer BKV infection susceptibility after kidney transplantation.

Indexed as

BK VirusGlucuronosyltransferaseKidney TransplantationPolymorphism, Single NucleotidePolyomavirus InfectionsAdultFemaleHumansMaleMiddle AgedTumor Virus InfectionsUGT1A1 EnzymeGlucuronosyltransferaseUGT1A1 Enzymeepithelial cellsKidney transplantationmetabolism-associated genespharmacokinetics.polymorphismUGT1A

Identifiers

PMID38509677

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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.