↓ Skip to main content

Food components and contaminants as (anti)androgenic molecules

Overview of attention for article published in Genes & Nutrition, February 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
98 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Food components and contaminants as (anti)androgenic molecules
Published in
Genes & Nutrition, February 2017
DOI 10.1186/s12263-017-0555-5
Pubmed ID
Authors

Daniele Marcoccia, Marco Pellegrini, Marco Fiocchetti, Stefano Lorenzetti, Maria Marino

Abstract

Androgens, the main male sex steroids, are the critical factors responsible for the development of the male phenotype during embryogenesis and for the achievement of sexual maturation and puberty. In adulthood, androgens remain essential for the maintenance of male reproductive function and behavior. Androgens, acting through the androgen receptor (AR), regulate male sexual differentiation during development, sperm production beginning from puberty, and maintenance of prostate homeostasis. Several substances present in the environment, now classified as endocrine disruptors (EDCs), strongly interfere with androgen actions in reproductive and non-reproductive tissues. EDCs are a heterogeneous group of xenobiotics which include synthetic chemicals used as industrial solvents/lubricants, plasticizers, additives, agrochemicals, pharmaceutical agents, and polyphenols of plant origin. These compounds are even present in the food as components (polyphenols) or food/water contaminants (pesticides, plasticizers used as food packaging) rendering the diet as the main route of exposure to EDCs for humans. Although huge amount of literature reports the (anti)estrogenic effects of different EDCs, relatively scarce information is available on the (anti)androgenic effects of EDCs. Here, the effects and mechanism of action of phytochemicals and pesticides and plasticizers as possible modulators of AR activities will be reviewed taking into account that insight derived from principles of endocrinology are required to estimate EDC consequences on endocrine deregulation and disease.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 13%
Student > Ph. D. Student 12 12%
Researcher 10 10%
Student > Master 7 7%
Student > Doctoral Student 6 6%
Other 14 14%
Unknown 36 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 13%
Biochemistry, Genetics and Molecular Biology 12 12%
Medicine and Dentistry 10 10%
Pharmacology, Toxicology and Pharmaceutical Science 7 7%
Environmental Science 5 5%
Other 12 12%
Unknown 39 40%
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 19 February 2017.
All research outputs
#18,534,624
of 22,955,959 outputs
Outputs from Genes & Nutrition
#297
of 388 outputs
Outputs of similar age
#235,458
of 307,002 outputs
Outputs of similar age from Genes & Nutrition
#7
of 9 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 10th percentile – i.e., 10% 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 307,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.