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Zinc and Other Metals Deficiencies and Risk of Type 1 Diabetes: An Ecological Study in the High Risk Sardinia Island.
- Source :
-
PloS one [PLoS One] 2015 Nov 11; Vol. 10 (11), pp. e0141262. Date of Electronic Publication: 2015 Nov 11 (Print Publication: 2015). - Publication Year :
- 2015
-
Abstract
- Background: Type 1 diabetes incidence presents a decreasing gradient in Europe from the Nordic countries to the Mediterranean ones. Exception to this gradient is represented by Sardinia, the second largest Mediterranean island whose population shows the highest incidence in Europe, after Finland. The genetic features of this population have created a fertile ground for the epidemic of the disease, however, as well as being strikingly high, the incidence rate has suddenly presented a continuous increase from the '50s, not explainable by accumulation of new genetic variants. Several environmental factors have been taken into account, possibly interacting with the genetic/epigenetic scenario, but there are no strong evidences to date.<br />Methods: The present study investigated the hypothesis that geochemical elements could create permissive environmental conditions for autoimmune diabetes. An ecological analysis was performed to test possible correlations between the values of eight elements in stream sediments and type 1 diabetes incidence rate in Sardinia.<br />Results: Analyses revealed negative associations between elements, such as Co, Cr, Cu, Mn, Ni, Zn, and type 1 diabetes incidence.<br />Conclusions: The results suggest a possible protective role of some elements against the onset of the disease.
- Subjects :
- Adolescent
Child
Child, Preschool
Diabetes Mellitus, Type 1 epidemiology
Female
Geography
Geologic Sediments chemistry
Humans
Incidence
Infant
Infant, Newborn
Islands
Italy epidemiology
Male
Mass Spectrometry methods
Metals, Heavy metabolism
Registries statistics & numerical data
Risk Assessment methods
Risk Factors
Rivers chemistry
Spectrophotometry, Atomic
Zinc deficiency
Diabetes Mellitus, Type 1 metabolism
Metals, Heavy analysis
Risk Assessment statistics & numerical data
Zinc analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 10
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 26559814
- Full Text :
- https://doi.org/10.1371/journal.pone.0141262