Evidence map›Paper›PMID 26739741›Full record

ArticleBMJ open2016

Association between APOE polymorphism and metabolic syndrome in Uyghur ethnic men.

YuPing Sun, Rong Wei, DanDan Yan, FeiLi Xu, XiaoJin Zhang, Bei Zhang, Delixiati Yimiti, Hui Li, HongYan Sun, Cheng Hu and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  10. Integrative Analysis to Identify Common Genetic Markers of Metabolic Syndrome, Dementia, and Diabetes.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
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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.

YuPing SunCollege of Basic Medical Science, Xinjiang Medical University, Xinjiang, China.
Rong WeiThe Fourth Affiliated Hospital, Xinjiang Medical University, Xinjiang, China.
DanDan YanShanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
FeiLi XuThe Fourth Affiliated Hospital, Xinjiang Medical University, Xinjiang, China.
XiaoJin ZhangThe Key Laboratory of Metabolic Diseases, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China.
Bei ZhangCollege of Basic Medical Science, Xinjiang Medical University, Xinjiang, China.
Delixiati YimitiCollege of Basic Medical Science, Xinjiang Medical University, Xinjiang, China.
Hui LiThe Second Affiliated Hospital, Xinjiang Medical University, Urumqi, China.
HongYan SunDepartment of Science and Technology, Xinjiang Medical University, Urumqi, China.
Cheng HuShanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Li LuoThe Key Laboratory of Metabolic Diseases, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China.
Hua YaoThe Key Laboratory of Metabolic Diseases, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China.
Xinjiang Medical University · CNFirst Affiliated Hospital of Xinjiang Medical University · CNShanghai Jiao Tong University · CNSecond Affiliated Hospital of Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to examine the association between apolipoprotein E (APOE) polymorphism and metabolic syndrome (MetS) among Uyghur ethnic men in Xinjiang, China.

participantsA total of 482 patients with MetS and 510 healthy sex-matched and age-matched controls were recruited from the Xinjiang Uyghur Autonomous Region of China. The participants were subjected to routine physical and blood biochemical tests, and APOE genotyping was performed.

resultsThe APOE ε3/3 was the predominant type, with a frequency of 71.8%, while ε2/2 was less common than ε4/4 in Uyghur males. The frequencies of the APOE2, E3 and E4 alleles in Uyghur males were 8.5%, 80.0% and 11.5%, respectively. However, the distribution of APOE genotypes was significantly different between the MetS and control groups (p<0.001). In the MetS group, the frequencies of the ε2 and ε4 alleles and the frequencies of the ε2/2, ε2/3 and ε2/4 genotypes were significantly lower than those of the control group. Those individuals without the ε2 and ε4 alleles had higher MetS prevalence than the other gene carriers, and the ORs of these individuals developing MetS were 1.5 and 1.27 compared to the gene carriers. Triglyceride, serum total cholesterol and low-density lipoprotein cholesterol levels were lower and serum high-density lipoprotein was higher in the ε2 carriers than the ε3 carriers, and the prevalence of MetS, central obesity, high blood pressure, hypercholesterolaemia and hypertriglyceridaemia was lower in the APOE2 group than in the APOE4 group. The risks of these individuals with ε4 allele carriers getting these changes were 1.327, 1.780, 1.888, 1.428 and 2.571 times greater than those of ε2 allele carriers.

conclusionsAPOE4 is associated with many individual components of MetS, whereas APOE2 was associated with a reduced risk of MetS at the univariate level in Uyghur ethnic men.

Indexed as

AnthropometryApolipoprotein E2Apolipoprotein E4Asian PeopleCase-Control StudiesChinaDyslipidemiasGene FrequencyGenotypeHeterozygoteHumansHypertriglyceridemiaMaleMetabolic SyndromeMiddle AgedPolymorphism, GeneticApolipoprotein E2Apolipoprotein E4APOEGene polymorphismMetabolic SyndromeUygur ethnic

Identifiers

PMID26739741
PMCPMC4716259
OpenAlexW2222157503

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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.