Evidence map›Paper›PMID 32180207›Full record

ArticleHuman cell2020

Dysfunctional ABCG2 gene polymorphisms are associated with serum uric acid levels and all-cause mortality in hemodialysis patients.

Akio Nakashima, Kimiyoshi Ichida, Ichiro Ohkido, Keitaro Yokoyama, Hirotaka Matsuo, Yuki Ohashi, Tappei Takada, Akiyoshi Nakayama, Hiroshi Suzuki, Nariyoshi Shinomiya and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Human cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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  5. Article
  6. Cannabis Pharmacogenomics: A Path to Personalized Medicine.Current issues in molecular biology · 2023
    Review
  7. Article
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  9. Review
  10. 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

12 authors at 4 institutions in 1 country.

Akio NakashimaDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Kimiyoshi IchidaDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan. ichida@toyaku.ac.jp.
Ichiro OhkidoDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Keitaro YokoyamaDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Hirotaka MatsuoDepartment of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Tokorozawa, Japan.
Yuki OhashiDepartment of Pathophysiology, Tokyo University of Pharmacy and Life Sciences, 1432-1 Horinouchi, Hachioji, Tokyo, 192-0392, Japan.
Tappei TakadaDepartment of Pharmacy, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Akiyoshi NakayamaDepartment of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Tokorozawa, Japan.
Hiroshi SuzukiDepartment of Pharmacy, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Nariyoshi ShinomiyaDepartment of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Tokorozawa, Japan.
Mitsuyoshi UrashimaDivision of Molecular Epidemiology, Jikei University School of Medicine, Tokyo, Japan.
Takashi YokooDivision of Nephrology and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Jikei University School of Medicine · JPNational Defense Medical College · JPUniversity of Tokyo Hospital · JPTokyo University of Pharmacy and Life Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysfunctional variants of ATP-binding cassette transporter subfamily G member 2 (ABCG2), a urate transporter in the kidney and intestine, are the major causes of hyperuricemia and gout. A recent study found that ABCG2 is a major transporter of uremic toxins; however, few studies have investigated the relationship between ABCG2 gene polymorphisms and mortality. This prospective cohort study of 1214 hemodialysis patients investigated the association between serum uric acid levels and ABCG2 genotype and mortality. Genotyping of dysfunctional ABCG2 variants, Q126X (rs72552713) and Q141K (rs2231142), was performed using the patients' DNA. During the study period, 220 patients died. Lower serum uric acid levels were associated with higher mortality (hazard ratio [HR] 1.89, 95% confidence interval [CI] 1.14-3.10, P ≤ 0.001). ABCG2 dysfunction, estimated by genetic variants, had a significant positive association with serum uric acid levels (full function: 7.4 ± 1.2 mg/dl, 3/4 function: 7.9 ± 1.3 mg/dl, 1/2 function: 8.2 ± 1.4 mg/dl, ≤ 1/4 function: 8.7 ± 1.3 mg/dl, P ≤ 0.001). This association remained significant on multiple regression analysis. The Cox proportional hazard analysis indicated that the ABCG2 ≤ 1/4 function type was significantly associated with higher mortality (HR 6.66, 95% CI 2.49 to 17.8, P ≤ 0.001) than the other function types. These results showed that ABCG2 plays a physiologically important role in uric acid excretion, and that ABCG2 dysfunction is a risk factor for mortality in hemodialysis patients.

Indexed as

Genetic Association StudiesPolymorphism, GeneticAgedATP Binding Cassette Transporter, Subfamily G, Member 2FemaleHumansMaleMiddle AgedNeoplasm ProteinsRenal DialysisRisk FactorsUric AcidABCG2 protein, humanATP Binding Cassette Transporter, Subfamily G, Member 2Neoplasm ProteinsUric AcidABCG2HemodialysisMortalityPolymorphismUric acid

Identifiers

PMID32180207
PMCPMC7324430
OpenAlexW3010867714

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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 OpenQuestion graph.