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Genetic variation in the tissue factor gene is associated with clinical outcome in severe sepsis patients

Overview of attention for article published in Critical Care, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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8 tweeters

Citations

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5 Dimensions

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21 Mendeley
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Title
Genetic variation in the tissue factor gene is associated with clinical outcome in severe sepsis patients
Published in
Critical Care, November 2014
DOI 10.1186/s13054-014-0631-9
Pubmed ID
Authors

Dongwei Shi, Zhenju Song, Jun Yin, Mingming Xue, Chenling Yao, Zhan Sun, Mian Shao, Zhi Deng, Yaping Zhang, Zhengang Tao, Si Sun, Jin Zhang, Lingyu Xing, Zhimin Dong, Yuxin Wang, Chaoyang Tong

Abstract

IntroductionActivation of inflammation and coagulation was closely related and mutually interdependent in sepsis. Tissue factor (TF) and its endogenous inhibitor, tissue factor pathway inhibitor (TFPI) was the main regulators of the initiation of coagulation process. Altered plasma levels of TF and TFPI have been related to worse outcome in sepsis. The objective of this study was to investigate whether single nucleotide polymorphisms (SNPs) in the TF and TFPI genes were associated with risk and outcome for patients with severe sepsis.MethodsSeventeen SNPs in TF and TFPI were genotyped in samples of sepsis (n =577) and severe sepsis patients (n =476), and tested for association in this case¿control collection. We then investigated correlation between the associated SNPs and the mRNA expression, and protein level of the corresponding gene. The mRNA levels of TF were determined using real-time quantitative reverse transcription-polymerase chain reaction and the soluble plasma levels of TF were measured using enzyme linked immunosorbent assay (ELISA) method.ResultsAssociation analysis revealed that three TF SNPs in perfect linkage disequilibrium, rs1361600, rs3917615 and rs958587, were significantly associated with outcome of severe sepsis. G allele frequency of rs1361600 in survivor patients was significantly higher than that in nonsurvivor severe sepsis patients (P =4.91¿×¿10¿5, odds ratio (OR) =0.48, 95% confidence interval (CI) 0.33 to 0.69). The association remained significant after adjustment for covariates in multiple logistic regression analysis and for multiple comparisons. Lipopolysaccharide-induced TF-mRNA expression levels in peripheral blood mononuclear cells from subjects carrying rs1361600 AG and GG genotypes, were significantly lower than those subjects carrying AA genotype (P =0.0012). Moreover, severe sepsis patients of GG and GA genotypes showed lower serum levels of TF than patients with AA genotype (P adj =0.02). The plasma levels of TF were also associated with outcome of severe sepsis patients (P adj =0.01). However, genotype and allele analyses did not show any significant difference between sepsis and severe sepsis patients.ConclusionsOur findings indicate that common genetic variation in TF was significantly associated with outcome of severe sepsis in Chinese Han population.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Brazil 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 29%
Student > Bachelor 4 19%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 12 57%
Biochemistry, Genetics and Molecular Biology 2 10%
Agricultural and Biological Sciences 1 5%
Computer Science 1 5%
Unknown 5 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2014.
All research outputs
#2,587,665
of 11,289,601 outputs
Outputs from Critical Care
#1,750
of 3,704 outputs
Outputs of similar age
#53,833
of 244,093 outputs
Outputs of similar age from Critical Care
#81
of 173 outputs
Altmetric has tracked 11,289,601 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,704 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,093 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.