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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Altered DNA methylation in liver and adipose tissues derived from individuals with obesity and type 2 diabetes
|
|---|---|
| Published in |
BMC Medical Genomics, February 2018
|
| DOI | 10.1186/s12881-018-0542-8 |
| Pubmed ID | |
| Authors |
Francisco Barajas-Olmos, Federico Centeno-Cruz, Carlos Zerrweck, Iván Imaz-Rosshandler, Angélica Martínez-Hernández, Emilio J. Cordova, Claudia Rangel-Escareño, Faustino Gálvez, Armando Castillo, Hernán Maydón, Francisco Campos, Diana Gabriela Maldonado-Pintado, Lorena Orozco |
| Abstract |
Obesity is a well-recognized risk factor for insulin resistance and type 2 diabetes (T2D), although the precise mechanisms underlying the relationship remain unknown. In this study we identified alterations of DNA methylation influencing T2D pathogenesis, in subcutaneous and visceral adipose tissues, liver, and blood from individuals with obesity. The study included individuals with obesity, with and without T2D. From these patients, we obtained samples of liver tissue (n = 16), visceral and subcutaneous adipose tissues (n = 30), and peripheral blood (n = 38). We analyzed DNA methylation using Illumina Infinium Human Methylation arrays, and gene expression profiles using HumanHT-12 Expression BeadChip Arrays. Analysis of DNA methylation profiles revealed several loci with differential methylation between individuals with and without T2D, in all tissues. Aberrant DNA methylation was mainly found in the liver and visceral adipose tissue. Gene ontology analysis of genes with altered DNA methylation revealed enriched terms related to glucose metabolism, lipid metabolism, cell cycle regulation, and response to wounding. An inverse correlation between altered methylation and gene expression in the four tissues was found in a subset of genes, which were related to insulin resistance, adipogenesis, fat storage, and inflammation. Our present findings provide additional evidence that aberrant DNA methylation may be a relevant mechanism involved in T2D pathogenesis among individuals with obesity. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 33% |
| Mexico | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 15% |
| Student > Bachelor | 12 | 13% |
| Researcher | 11 | 12% |
| Student > Master | 10 | 11% |
| Student > Doctoral Student | 7 | 8% |
| Other | 7 | 8% |
| Unknown | 31 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 22% |
| Medicine and Dentistry | 15 | 16% |
| Agricultural and Biological Sciences | 8 | 9% |
| Nursing and Health Professions | 6 | 7% |
| Computer Science | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 32 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 March 2018.
All research outputs
#15,989,045
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#1,089
of 2,444 outputs
Outputs of similar age
#198,109
of 344,362 outputs
Outputs of similar age from BMC Medical Genomics
#23
of 48 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 54% 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 344,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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.