Evidence map›Paper›PMID 31265177›Full record

ArticleJournal of clinical laboratory analysis2019

Correlation between SEPS1 gene polymorphism and type 2 diabetes mellitus: A preliminary study.

Feng Li, Aiyou Mao, Xianxian Fu, Yang She, Xiaobin Wei

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Selenoprotein S: A versatile disordered protein.Archives of biochemistry and biophysics · 2022
    Review
  6. Article
  7. Article
  8. 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

5 authors at 1 institution in 1 country.

Feng LiDepartment of Clinical Laboratory, Haikou People's Hospital, Affiliated Haikou Hospital, Xiangya School of Medicine, Central South University, Haikou, Hainan, China.ORCID https://orcid.org/0000-0002-0910-6886
Aiyou MaoDepartment of Clinical Laboratory, Haikou People's Hospital, Affiliated Haikou Hospital, Xiangya School of Medicine, Central South University, Haikou, Hainan, China.
Xianxian FuDepartment of Clinical Laboratory, Haikou People's Hospital, Affiliated Haikou Hospital, Xiangya School of Medicine, Central South University, Haikou, Hainan, China.
Yang SheDepartment of Clinical Laboratory, Haikou People's Hospital, Affiliated Haikou Hospital, Xiangya School of Medicine, Central South University, Haikou, Hainan, China.
Xiaobin WeiDepartment of Clinical Laboratory, Haikou People's Hospital, Affiliated Haikou Hospital, Xiangya School of Medicine, Central South University, Haikou, Hainan, China.
Central South University · CN

Funding

Finance Science and Technology Project of Hainan Province ZDYF2018132
6 · The paper itself

Abstract

backgroundThe protein encoded by the selenoprotein S gene is considered to be an anti-inflammatory and antioxidant protein and is involved in a variety of diseases. Therefore, we want to study the distribution characteristics of this gene in Chinese diabetic population.

methodsA total of 170 patients with DM (including 100 patients with T2DM and 70 patients with diabetic nephropathy [DN]) and 100 healthy controls (HC) were selected from Haikou People's Hospital (China) between January 2017 and July 2017. The polymorphisms of three SEPS1 genes (SNP ID: rs4965814, rs28665122, and rs34713741) were measured by massARRAY method, while the polymorphisms of SEPS1 genes (SNP ID: rs4965373) were detected by Sanger sequencing.

resultsComparing three groups, the results were the following: (a) There was a significant difference in the genotype and allele distribution of rs34713741 between DN group and HC group and between T2DM group and DN group; For this gene locus, the risk of diabetic nephropathy in healthy individuals with T allele was 0.6 times higher than that in individuals with GG genotype (OR = 0.60, 95% CI: 0.46 ~ 0.77). (b) There was a significant difference in the distribution of rs4975814 genotype between DN group and HC group; for this gene locus, the risk of diabetic nephropathy in healthy individuals with T allele was 2.71 times higher than that in individuals with GG genotype (OR = 2.71, 95% CI: 1.66 ~ 4.45).

conclusionWe conclude that rs34713741 (GT + TT) may be a protective gene for DN and the rs4975814 (GT + TT) may be a susceptibility gene for DN.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAsian PeopleCase-Control StudiesDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleFollow-Up StudiesHumansMaleMembrane ProteinsMiddle AgedPrognosisRisk FactorsSelenoproteinsMembrane ProteinsSelenoproteinsSELENOS protein, humandiabetic nephropathyhealthy controlsSEPS1 gene polymorphismType 2 diabetes mellitus

Identifiers

PMID31265177
PMCPMC6805276
OpenAlexW2955116391

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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.