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Sulfatase modifying factor 1 (SUMF1) is associated with Chronic Obstructive Pulmonary Disease

Overview of attention for article published in Respiratory Research, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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1 Wikipedia page

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Title
Sulfatase modifying factor 1 (SUMF1) is associated with Chronic Obstructive Pulmonary Disease
Published in
Respiratory Research, May 2017
DOI 10.1186/s12931-017-0562-5
Pubmed ID
Authors

Julie Weidner, Linnea Jarenbäck, Kim de Jong, Judith M. Vonk, Maarten van den Berge, Corry-Anke Brandsma, H. Marike Boezen, Don Sin, Yohan Bossé, David Nickle, Jaro Ankerst, Leif Bjermer, Dirkje S. Postma, Alen Faiz, Ellen Tufvesson

Abstract

It has been observed that mice lacking the sulfatase modifying factor (Sumf1) developed an emphysema-like phenotype. However, it is unknown if SUMF1 may play a role in Chronic Obstructive Pulmonary Disease (COPD) in humans. The aim was to investigate if the expression and genetic regulation of SUMF1 differs between smokers with and without COPD. SUMF1 mRNA was investigated in sputum cells and whole blood from controls and COPD patients (all current or former smokers). Expression quantitative trait loci (eQTL) analysis was used to investigate if single nucleotide polymorphisms (SNPs) in SUMF1 were significantly associated with SUMF1 expression. The association of SUMF1 SNPs with COPD was examined in a population based cohort, Lifelines. SUMF1 mRNA from sputum cells, lung tissue, and lung fibroblasts, as well as lung function parameters, were investigated in relation to genotype. Certain splice variants of SUMF1 showed a relatively high expression in lung tissue compared to many other tissues. SUMF1 Splice variant 2 and 3 showed lower levels in sputum cells from COPD patients as compared to controls. Twelve SNPs were found significant by eQTL analysis and overlapped with the array used for genotyping of Lifelines. We found alterations in mRNA expression in sputum cells and lung fibroblasts associated with SNP rs11915920 (top hit in eQTL), which validated the results of the lung tissue eQTL analysis. Of the twelve SNPs, two SNPs, rs793391 and rs308739, were found to be associated with COPD in Lifelines. The SNP rs793391 was also confirmed to be associated with lung function changes. We show that SUMF1 expression is affected in COPD patients compared to controls, and that SNPs in SUMF1 are associated with an increased risk of COPD. Certain COPD-associated SNPs have effects on either SUMF1 gene expression or on lung function. Collectively, this study shows that SUMF1 is associated with an increased risk of developing COPD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Student > Master 5 16%
Student > Postgraduate 3 10%
Researcher 3 10%
Student > Bachelor 1 3%
Other 3 10%
Unknown 8 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 29%
Medicine and Dentistry 6 19%
Nursing and Health Professions 3 10%
Agricultural and Biological Sciences 3 10%
Mathematics 1 3%
Other 1 3%
Unknown 8 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 March 2020.
All research outputs
#7,780,614
of 25,382,440 outputs
Outputs from Respiratory Research
#1,006
of 3,062 outputs
Outputs of similar age
#113,884
of 324,903 outputs
Outputs of similar age from Respiratory Research
#31
of 71 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 66% 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 324,903 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 71 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 54% of its contemporaries.