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Trace Elements in Saliva as Markers of Type 2 Diabetes Mellitus

Overview of attention for article published in Biological Trace Element Research, April 2018
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Title
Trace Elements in Saliva as Markers of Type 2 Diabetes Mellitus
Published in
Biological Trace Element Research, April 2018
DOI 10.1007/s12011-018-1326-x
Pubmed ID
Authors

Luis Marín Martínez, Diana Molino Pagán, Pía López Jornet

Abstract

To analyze Mg, Ca, and Zn levels in saliva, comparing patients with type 2 diabetes mellitus and a control group of healthy subjects. This transversal, observational, clinical study included a total sample of 147 patients, 74 with type 2 diabetes mellitus and a control group of 73 healthy subjects. Socio-demographic, anthropometric, diabetological, and metabolic variables were registered. Trace elements in non-stimulated basal saliva were measured using inductively coupled plasma mass spectrometry (ICP-MS): Mg, Ca, and Zn. Concentrations of zinc, calcium, and magnesium were significantly higher in the diabetic group than the control group (p < 0.001). A relation was observed between waist circumference and high cardiovascular risk in men (based on two categories: waist circumference < 102 cm; waist circumference ≥ 102 cm), and magnesium levels in saliva (p = 0.003). Magnesium, zinc, and calcium levels in saliva could be useful markers for differentiating patients with type 2 diabetes mellitus from non-diabetics. The salivary magnesium could be used as a marker of high cardiovascular risk when associated with abdominal obesity represented by a waist circumference ≥ 102 cm in men. The present results do suggest that salivary zinc levels could act as a good marker of type 2 diabetes mellitus, in light of zinc's well-known role as a co-marker of insulin and its relationship to carbohydrate metabolism.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 15%
Student > Ph. D. Student 8 15%
Student > Master 6 11%
Other 3 6%
Student > Postgraduate 2 4%
Other 3 6%
Unknown 24 44%
Readers by discipline Count As %
Medicine and Dentistry 12 22%
Biochemistry, Genetics and Molecular Biology 4 7%
Nursing and Health Professions 4 7%
Veterinary Science and Veterinary Medicine 2 4%
Chemistry 2 4%
Other 3 6%
Unknown 27 50%
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 12 February 2019.
All research outputs
#18,601,965
of 23,041,514 outputs
Outputs from Biological Trace Element Research
#1,340
of 2,054 outputs
Outputs of similar age
#255,568
of 329,292 outputs
Outputs of similar age from Biological Trace Element Research
#19
of 37 outputs
Altmetric has tracked 23,041,514 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 2,054 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.