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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Connections Between the Gut Microbiome and Metabolic Hormones in Early Pregnancy in Overweight and Obese Women
|
|---|---|
| Published in |
Diabetes, May 2016
|
| DOI | 10.2337/db16-0278 |
| Pubmed ID | |
| Authors |
Luisa F. Gomez-Arango, Helen L. Barrett, H. David McIntyre, Leonie K. Callaway, Mark Morrison, Marloes Dekker Nitert |
| Abstract |
Overweight and obese women are at a higher risk of developing gestational diabetes mellitus. The gut microbiome could modulate metabolic health and may affect insulin resistance and lipid metabolism. The aim of this study was to reveal any relationships between gut microbiome composition and circulating metabolic hormones in overweight and obese pregnant women at 16 weeks gestation. Fecal microbiota profiles from overweight (n=29) and obese (n=41) pregnant women were assessed by 16S rRNA sequencing. Fasting metabolic hormone (insulin, c-peptide, glucagon, incretins and adipokines) concentrations were measured using multiplex ELISA. Metabolic hormone levels as well as microbiome profiles differed between overweight and obese women. Furthermore, changes in some metabolic hormone levels were correlated with alterations in the relative abundance of specific microbes. Adipokine levels were strongly correlated with Ruminococcaceae and Lachnospiraceae, which are dominant families in energy metabolism. Insulin was positively correlated with the genus Collinsella. GIP was positively correlated with the genus Coprococcus but negatively with family Ruminococcaceae This study shows novel relationships between gut microbiome composition and the metabolic hormonal environment in overweight and obese pregnant women at 16 weeks gestation. These results suggest that manipulation of the gut microbiome composition may have the potential to influence pregnancy metabolism. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 13% |
| United States | 3 | 13% |
| Spain | 1 | 4% |
| Mexico | 1 | 4% |
| Canada | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Brazil | 1 | 4% |
| Nepal | 1 | 4% |
| Australia | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 61% |
| Practitioners (doctors, other healthcare professionals) | 4 | 17% |
| Scientists | 3 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 300 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 14% |
| Student > Master | 41 | 14% |
| Student > Bachelor | 38 | 13% |
| Researcher | 33 | 11% |
| Other | 16 | 5% |
| Other | 51 | 17% |
| Unknown | 81 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 71 | 24% |
| Agricultural and Biological Sciences | 31 | 10% |
| Biochemistry, Genetics and Molecular Biology | 29 | 10% |
| Immunology and Microbiology | 22 | 7% |
| Nursing and Health Professions | 21 | 7% |
| Other | 31 | 10% |
| Unknown | 96 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 06 June 2017.
All research outputs
#1,396,330
of 25,654,806 outputs
Outputs from Diabetes
#540
of 9,735 outputs
Outputs of similar age
#24,648
of 349,367 outputs
Outputs of similar age from Diabetes
#19
of 126 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,735 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 94% 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 349,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.