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Circulating Pancreatic Polypeptide Concentrations Predict Visceral and Liver Fat Content

Overview of attention for article published in JCEM, December 2014
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  • Average Attention Score compared to outputs of the same age and source

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Article details
Title
Circulating Pancreatic Polypeptide Concentrations Predict Visceral and Liver Fat Content
Published in
JCEM, December 2014
DOI 10.1210/jc.2014-3450
Pubmed ID
Authors
Abstract

Context and objective: No current biomarker can reliably predict visceral and liver fat content, both of which are risk factors for cardiovascular disease. Vagal tone has been suggested to influence regional fat deposition. Pancreatic polypeptide (PP) is secreted from the endocrine pancreas under vagal control. We investigated the utility of PP in predicting visceral and liver fat. Patients and Methods: Fasting plasma PP concentrations were measured in 104 overweight and obese subjects (46 men and 58 women). In the same subjects, total and regional adipose tissue, including total visceral adipose tissue (VAT) and total subcutaneous adipose tissue (TSAT), were measured using whole body magnetic resonance imaging (MRI). Intrahepatocellular lipid content (IHCL) was quantified by proton magnetic resonance spectroscopy ((1)H-MRS). Results: Fasting plasma PP concentrations positively and significantly correlated with both VAT (r=0.57, p<0.001) and IHCL (r=0.51, p <0.001), but not with TSAT (r=0.02, p=0.88). Fasting PP concentrations independently predicted VAT after controlling for age and gender. Fasting PP concentrations independently predicted IHCL after controlling for age, gender, BMI, WHR, HOMA2-IR and serum concentrations of triglyceride (TG), total cholesterol (TC) and alanine aminotransferase (ALT). Fasting PP concentrations were associated with serum ALT, TG, TC, LDL and HDL cholesterol and blood pressure (p<0.05). These associations were mediated by IHCL and/or VAT. Fasting PP and HOMA2-IR were independently significantly associated with hepatic steatosis (p<0.01). Conclusions: Pancreatic polypeptide is a novel predictor of visceral and liver fat content, and thus a potential biomarker for cardiovascular risk stratification and targeted treatment of patients with ectopic fat deposition.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Ireland 1 2%
United Kingdom 1 2%
Spain 1 2%
Unknown 56 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 11 19%
Other 6 10%
Student > Master 5 8%
Professor 4 7%
Student > Ph. D. Student 4 7%
Other 10 17%
Unknown 19 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Biochemistry, Genetics and Molecular Biology 3 5%
Agricultural and Biological Sciences 3 5%
Veterinary Science and Veterinary Medicine 2 3%
Neuroscience 2 3%
Other 12 20%
Unknown 24 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 December 2014.
All research outputs
#11,364,039
of 34,410,315 outputs
Outputs from JCEM
#10,289
of 20,898 outputs
Outputs of similar age
#127,183
of 421,897 outputs
Outputs of similar age from JCEM
#135
of 262 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 20,898 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 50% 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 421,897 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 69% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.