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Mendeley readers
Attention Score in Context
| Title |
Tissue-specific methylation profile in obese patients with type 2 diabetes before and after Roux-en-Y gastric bypass
|
|---|---|
| Published in |
Diabetology & Metabolic Syndrome, February 2017
|
| DOI | 10.1186/s13098-017-0214-4 |
| Pubmed ID | |
| Authors |
Priscila Sala, Raquel Susana Matos de Miranda Torrinhas, Danielle Cristina Fonseca, Graziela Rosa Ravacci, Dan Linetzky Waitzberg, Daniel Giannella-Neto |
| Abstract |
Eating habits, lifestyles, and exposure to specific environmental factors can greatly impact the risk of developing type 2 diabetes (T2D), influence the genome epigenetically, and affect the expression of genes, including genes related to glycemic control, at any stage of life. The epigenetic mechanism underlying obesity and T2D pathogenesis remains poorly understood. Conventional strategies for the treatment of obesity and its comorbidities often have poor long-term adherence, and pharmacological interventions are limited. Bariatric surgery is the most effective current option to treat severe obesity, and Roux-en-Y gastric bypass (RYGB) is the most applied technique worldwide. Epigenetic changes differ depending on the approach used to treat obesity and its associated comorbidities (clinical or surgical). Compared to primary clinical care, bariatric surgery leads to much greater loss of body weight and higher remission rates of T2D and metabolic syndrome, with methylation profiles in promoter regions of genes in obese individuals becoming similar to those of normal-weight individuals. Bariatric surgery can influence DNA methylation in parallel with changes in gene expression pattern. Changes in clinical biomarkers that reflect improvements in glucose and lipid metabolism after RYGB often occur before major weight loss and are coordinated by surgery-induced changes in intestinal hormones. Therefore, the intestine methylation profile would assist in understanding the mechanisms involved in improved glycemic control after bariatric surgery. The main objectives in this area for the future are to identify epigenetic marks that could be used as early indicators of metabolic risk, and to develop treatments able to delay or even reverse these epigenetic changes. Studies that provide the "human epigenetic profile" will be of considerable value to identify tissue-specific epigenetic signatures and their role in the development of chronic diseases. Further studies should apply methods based on global analysis of the genome to identify methylated sites associated with disease and epigenetic marks associated with the remodeling response to bariatric surgery. This review describes the main epigenetic alterations associated with obesity and T2D and the potential role of RYGB in remodeling these changes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Student > Bachelor | 13 | 15% |
| Student > Master | 12 | 14% |
| Researcher | 8 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 23 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 23% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Agricultural and Biological Sciences | 9 | 10% |
| Nursing and Health Professions | 3 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 34 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2017.
All research outputs
#20,408,464
of 22,958,253 outputs
Outputs from Diabetology & Metabolic Syndrome
#569
of 674 outputs
Outputs of similar age
#271,117
of 311,178 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#9
of 10 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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