Evidence map›Paper›PMID 26114387›Full record

ArticleInternational journal of molecular sciences2015

Gene-Diet Interaction between SIRT6 and Soybean Intake for Different Levels of Pulse Wave Velocity.

Kexin Sun, Xiao Xiang, Na Li, Shaoping Huang, Xueying Qin, Yiqun Wu, Xun Tang, Pei Gao, Jing Li, Tao Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2015. 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
0.2field-weighted citation impact, top 44% 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, 6 citations in OpenAlex.

  1. [Genotype-environment interaction on arterial stiffness: A pedigree-based study].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2023
    Article
  2. 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 2 institutions in 1 country.

Kexin SunDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. kexin_sun@bjmu.edu.cn.
Xiao XiangDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. doublex1990@live.cn.
Na LiFangshan District Center for Disease Control and Prevention, Beijing 102401, China. sophia8063@163.com.
Shaoping HuangFangshan District Center for Disease Control and Prevention, Beijing 102401, China. fshcdcmb@yeah.net.
Xueying QinDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. xueyingqin@gmail.com.
Yiqun WuDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. qywu118@163.com.
Xun TangDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. tangxun@bjmu.edu.cn.
Pei GaoDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. pei.gao@163.com.
Jing LiDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. jing2k9@gmail.com.
Tao WuDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. twu@bjmu.edu.cn.
Dafang ChenDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. dafangchen@bjmu.edu.cn.
Yonghua HuDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. yhhu@bjmu.edu.cn.
Peking University · CNBeijing Center for Disease Prevention and Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean is a common food for the Chinese people. We aimed to investigate the risk for brachial ankle pulse wave velocity (baPWV) with inflammatory-related SNPs and soybean. baPWV was measured, and 16 inflammatory-related SNPs located on ADIPOQ, CDH13, SIRT3, SIRT6, CXCL12, CXCR4, NOS1, PON1 and CDKN2B were genotyped in 1749 Chinese participants recruited from various communities. ADIPOQ rs12495941 (GT/TT vs. GG: crude OR = 1.27, p = 0.044) and SIRT6 rs107251 (CT/TT vs. CC: crude OR = 0.74, p = 0.009) were associated with abnormal baPWV (baPWV ≥ 1700 cm/s). After adjustment for conventional environmental risk factors, rs12495941 was associated with abnormal baPWV (GT/TT vs. GG: adjusted OR = 1.43, p = 0.011), but the association between rs107251 and abnormal baPWV was not significant (CT/TT vs. CC: adjusted OR = 0.83, p = 0.173). The interaction between rs107251 and soybean intake for different levels of baPWV was statistically significant (p = 0.017). Compared with a high level of soybean intake, a low level of soybean intake can significantly decrease the risk of abnormal baPWV in individuals of rs107251 CT/TT genotypes (≤ 100 vs. > 100 g/week: adjusted OR = 0.542, p = 0.003). In this study, associations between ADIPOQ rs12495941, SIRT6 rs107251 and baPWV, as well as an interaction between SIRT6 rs107251 and soybean intake for different levels of baPWV were found.

Indexed as

Gene-Environment InteractionPolymorphism, Single NucleotidePulse Wave AnalysisAdiponectinAgedFemaleGenetic LociHemodynamicsHumansMaleMiddle AgedSirtuinsSoybean ProteinsAdiponectinADIPOQ protein, humanSIRT6 protein, humanSirtuinsSoybean ProteinsADIPOQatherosclerosisbrachial ankle pulse wave velocitygenetic polymorphismsinflammationinteractionSIRT6soybean

Identifiers

PMID26114387
PMCPMC4519845
OpenAlexW1491993231

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.