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Cord blood leptin and insulin levels in association with mitochondrial DNA content

Overview of attention for article published in Journal of Translational Medicine, August 2018
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
Cord blood leptin and insulin levels in association with mitochondrial DNA content
Published in
Journal of Translational Medicine, August 2018
DOI 10.1186/s12967-018-1599-z
Pubmed ID
Authors

Annette Vriens, Michelle Plusquin, Willy Baeyens, Liesbeth Bruckers, Elly Den Hond, Ilse Loots, Vera Nelen, Greet Schoeters, Bram G. Janssen, Tim S. Nawrot

Abstract

The developmental origins of health and disease theory states that a disturbance in the early life environment can contribute to disease risk in later life. Leptin and insulin are anorectic hormones involved in energy homeostasis and are crucial for foetal growth. Disturbances in the levels of these hormones contribute to obesity and diabetes. In adults, altered mitochondrial function is an important hallmark of metabolic disorders, including obesity and diabetes. However, the mitochondrial effects of early life metabolic variation are unexplored. We investigated whether there is an association between metabolic hormones and mitochondrial DNA (mtDNA) content in early life. The study included 236 newborns from the FLEHS III birth cohort, Flanders (Belgium). Relative mtDNA content of cord blood leukocytes was determined using quantitative PCR. Cord blood levels of leptin and insulin were determined using immunoassays. We studied the association between these metabolic hormones and mtDNA content using multiple linear regression models, while accounting for covariates and potential confounders. Leptin and insulin levels were positively associated with cord blood mtDNA content. mtDNA content was respectively 4.49% (95% CI 1.15-7.93; p = 0.008) and 1.60% (95% CI 0.31-2.91; p = 0.02) higher for a interquartile range increase of respectively cord blood leptin and insulin levels. In a sensitivity analysis, we observed that insulin and leptin were independently associated to mtDNA content and that insulin was stronger associated to mtDNA content in boys than in girls. Neonatal metabolic hormones were associated with cord blood mtDNA content, which suggests that in early life the variation of mtDNA content might accommodate or reflect changes in the metabolic status.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Professor 2 9%
Lecturer 2 9%
Student > Bachelor 2 9%
Student > Master 2 9%
Other 5 22%
Unknown 6 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Medicine and Dentistry 4 17%
Nursing and Health Professions 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Agricultural and Biological Sciences 2 9%
Other 2 9%
Unknown 5 22%
Attention Score in Context

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 September 2018.
All research outputs
#15,542,971
of 23,099,576 outputs
Outputs from Journal of Translational Medicine
#2,274
of 4,054 outputs
Outputs of similar age
#209,913
of 330,840 outputs
Outputs of similar age from Journal of Translational Medicine
#37
of 83 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 330,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 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 51% of its contemporaries.