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Extensive alterations of the whole-blood transcriptome are associated with body mass index: results of an mRNA profiling study involving two large population-based cohorts

Overview of attention for article published in BMC Medical Genomics, October 2015
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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6 X users

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30 Dimensions

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Title
Extensive alterations of the whole-blood transcriptome are associated with body mass index: results of an mRNA profiling study involving two large population-based cohorts
Published in
BMC Medical Genomics, October 2015
DOI 10.1186/s12920-015-0141-x
Pubmed ID
Authors

Georg Homuth, Simone Wahl, Christian Müller, Claudia Schurmann, Ulrike Mäder, Stefan Blankenberg, Maren Carstensen, Marcus Dörr, Karlhans Endlich, Christian Englbrecht, Stephan B. Felix, Christian Gieger, Harald Grallert, Christian Herder, Thomas Illig, Jochen Kruppa, Carola S. Marzi, Julia Mayerle, Thomas Meitinger, Andres Metspalu, Matthias Nauck, Annette Peters, Wolfgang Rathmann, Eva Reinmaa, Rainer Rettig, Michael Roden, Arne Schillert, Katharina Schramm, Leif Steil, Konstantin Strauch, Alexander Teumer, Henry Völzke, Henri Wallaschofski, Philipp S. Wild, Andreas Ziegler, Uwe Völker, Holger Prokisch, Tanja Zeller

Abstract

Obesity, defined as pathologically increased body mass index (BMI), is strongly related to an increased risk for numerous common cardiovascular and metabolic diseases. It is particularly associated with insulin resistance, hyperglycemia, and systemic oxidative stress and represents the most important risk factor for type 2 diabetes (T2D). However, the pathophysiological mechanisms underlying these associations are still not completely understood. Therefore, in order to identify potentially disease-relevant BMI-associated gene expression signatures, a transcriptome-wide association study (TWAS) on BMI was performed. Whole-blood mRNA levels determined by array-based transcriptional profiling were correlated with BMI in two large independent population-based cohort studies (KORA F4 and SHIP-TREND) comprising a total of 1977 individuals. Extensive alterations of the whole-blood transcriptome were associated with BMI: More than 3500 transcripts exhibited significant positive or negative BMI-correlation. Three major whole-blood gene expression signatures associated with increased BMI were identified. The three signatures suggested: i) a ratio shift from mature erythrocytes towards reticulocytes, ii) decreased expression of several genes essentially involved in the transmission and amplification of the insulin signal, and iii) reduced expression of several key genes involved in the defence against reactive oxygen species (ROS). Whereas the first signature confirms published results, the other two provide possible mechanistic explanations for well-known epidemiological findings under conditions of increased BMI, namely attenuated insulin signaling and increased oxidative stress. The putatively causative BMI-dependent down-regulation of the expression of numerous genes on the mRNA level represents a novel finding. BMI-associated negative transcriptional regulation of insulin signaling and oxidative stress management provide new insights into the pathogenesis of metabolic syndrome and T2D.

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X Demographics

The data shown below were collected from the profiles of 6 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 71 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Ph. D. Student 10 14%
Student > Bachelor 7 10%
Student > Master 5 7%
Professor > Associate Professor 4 5%
Other 12 16%
Unknown 21 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 16%
Medicine and Dentistry 11 15%
Agricultural and Biological Sciences 9 12%
Psychology 2 3%
Engineering 2 3%
Other 10 14%
Unknown 27 37%
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 17 October 2015.
All research outputs
#7,946,070
of 24,598,501 outputs
Outputs from BMC Medical Genomics
#371
of 1,333 outputs
Outputs of similar age
#92,879
of 284,416 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 20 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,333 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 71% 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 284,416 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 66% of its contemporaries.
We're also able to compare this research output to 20 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 60% of its contemporaries.