↓ Skip to main content

Nutritional systems biology of type 2 diabetes

Overview of attention for article published in Genes & Nutrition, July 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
109 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nutritional systems biology of type 2 diabetes
Published in
Genes & Nutrition, July 2015
DOI 10.1007/s12263-015-0481-3
Pubmed ID
Authors

Yuqi Zhao, Rio Elizabeth Barrere-Cain, Xia Yang

Abstract

Type 2 diabetes (T2D) has become an increasingly challenging health burden due to its high morbidity, mortality, and heightened prevalence worldwide. Although dietary and nutritional imbalances have long been recognized as key risk factors for T2D, the underlying mechanisms remain unclear. The advent of nutritional systems biology, a field that aims to elucidate the interactions between dietary nutrients and endogenous molecular entities in disease-related tissues, offers unique opportunities to unravel the complex mechanisms underlying the health-modifying capacities of nutritional molecules. The recent revolutionary advances in omics technologies have particularly empowered this incipient field. In this review, we discuss the applications of multi-omics approaches toward a systems-level understanding of how dietary patterns and particular nutrients modulate the risk of T2D. We focus on nutritional studies utilizing transcriptomics, epigenomomics, proteomics, metabolomics, and microbiomics, and integration of diverse omics technologies. We also summarize the potential molecular mechanisms through which nutritional imbalances contribute to T2D pathogenesis based on these studies. Finally, we discuss the remaining challenges of nutritional systems biology and how the field can be optimized to further our understanding of T2D and guide disease management via nutritional interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 107 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 19%
Student > Bachelor 19 17%
Researcher 15 14%
Student > Master 14 13%
Professor 4 4%
Other 18 17%
Unknown 18 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 27%
Agricultural and Biological Sciences 19 17%
Medicine and Dentistry 16 15%
Nursing and Health Professions 9 8%
Immunology and Microbiology 3 3%
Other 12 11%
Unknown 21 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 October 2016.
All research outputs
#8,389,682
of 25,067,172 outputs
Outputs from Genes & Nutrition
#154
of 407 outputs
Outputs of similar age
#92,457
of 269,033 outputs
Outputs of similar age from Genes & Nutrition
#4
of 10 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 407 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 57% 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 269,033 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 56% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.