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Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans

Overview of attention for article published in BMC Medical Genomics, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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2 patents

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Title
Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
Published in
BMC Medical Genomics, February 2015
DOI 10.1186/s12920-015-0078-0
Pubmed ID
Authors

Swapan Kumar Das, Neeraj Kumar Sharma, Bin Zhang

Abstract

African Americans (AA) have more pronounced insulin resistance and higher insulin secretion than European Americans (Caucasians or CA) when matched for age, gender, and body mass index (BMI). We hypothesize that physiological differences (including insulin sensitivity [SI]) between CAs and AAs can be explained by co-regulated gene networks in tissues involved in glucose homeostasis. We performed integrative gene network analyses of transcriptomic data in subcutaneous adipose tissue of 99 CA and 37 AA subjects metabolically characterized as non-diabetic, with a range of SI and BMI values. Transcripts negatively correlated with SI in only the CA or AA subjects were enriched for inflammatory response genes and integrin-signaling genes, respectively. A sub-network (module) with TYROBP as a hub enriched for genes involved in inflammatory response (corrected p = 1.7E-26) was negatively correlated with SI (r = -0.426, p = 4.95E-04) in CA subjects. SI was positively correlated with transcript modules enriched for mitochondrial metabolism in both groups. Several SI-associated co-expressed modules were enriched for genes differentially expressed between groups. Two modules involved in immune response to viral infections and function of adherens junction, are significantly correlated with SI only in CAs. Five modules involved in drug/intracellular transport and oxidoreductase activity, among other activities, are correlated with SI only in AAs. Furthermore, we identified driver genes of these race-specific SI-associated modules. SI-associated transcriptional networks that were deranged predominantly in one ethnic group may explain the distinctive physiological features of glucose homeostasis among AA subjects.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Student > Master 5 12%
Student > Bachelor 5 12%
Professor > Associate Professor 3 7%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 12 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 20%
Agricultural and Biological Sciences 8 20%
Medicine and Dentistry 5 12%
Nursing and Health Professions 2 5%
Immunology and Microbiology 1 2%
Other 3 7%
Unknown 14 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 03 January 2024.
All research outputs
#5,167,950
of 25,177,382 outputs
Outputs from BMC Medical Genomics
#232
of 1,385 outputs
Outputs of similar age
#69,594
of 364,849 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 34 outputs
Altmetric has tracked 25,177,382 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,385 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 82% 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 364,849 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 80% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.