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In-vivo, non-invasive detection of hyperglycemic states in animal models using mm-wave spectroscopy

View Article: PubMed Central - PubMed

ABSTRACT

Chronic or sustained hyperglycemia associated to diabetes mellitus leads to many medical complications, thus, it is necessary to track the evolution of patients for providing the adequate management of the disease that is required for the restoration of the carbohydrate metabolism to a normal state. In this paper, a novel monitoring approach based on mm-wave spectroscopy is comprehensively described and experimentally validated using living animal models as target. The measurement method has proved the possibility of non-invasive, in-vivo, detection of hyperglycemia-associated conditions in different mouse models, making possible to clearly differentiate between several hyperglycemic states.

No MeSH data available.


Related in: MedlinePlus

Representation of the scores for the first principal component versus the scores of principal component 2.Zoomed-in area: Results of the PCA classification for different instantaneous blood glucose levels forced on a control mouse (yellow dots).
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f4: Representation of the scores for the first principal component versus the scores of principal component 2.Zoomed-in area: Results of the PCA classification for different instantaneous blood glucose levels forced on a control mouse (yellow dots).

Mentions: To better illustrate the classification of hyperglycemic states, in Fig. 4, the scores of the first principal component have been represented against the scores of the second principal component. Three separated areas hence appear, one for the control and leptin pump-treated mice, a different one for the diabetic and diabetized mice, and a third one for obese animals. Therefore, this instrument it is not only capable to separate hyperglycemic from control mice, but it is also able to distinguish between different hyperglycemic states.


In-vivo, non-invasive detection of hyperglycemic states in animal models using mm-wave spectroscopy
Representation of the scores for the first principal component versus the scores of principal component 2.Zoomed-in area: Results of the PCA classification for different instantaneous blood glucose levels forced on a control mouse (yellow dots).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5037419&req=5

f4: Representation of the scores for the first principal component versus the scores of principal component 2.Zoomed-in area: Results of the PCA classification for different instantaneous blood glucose levels forced on a control mouse (yellow dots).
Mentions: To better illustrate the classification of hyperglycemic states, in Fig. 4, the scores of the first principal component have been represented against the scores of the second principal component. Three separated areas hence appear, one for the control and leptin pump-treated mice, a different one for the diabetic and diabetized mice, and a third one for obese animals. Therefore, this instrument it is not only capable to separate hyperglycemic from control mice, but it is also able to distinguish between different hyperglycemic states.

View Article: PubMed Central - PubMed

ABSTRACT

Chronic or sustained hyperglycemia associated to diabetes mellitus leads to many medical complications, thus, it is necessary to track the evolution of patients for providing the adequate management of the disease that is required for the restoration of the carbohydrate metabolism to a normal state. In this paper, a novel monitoring approach based on mm-wave spectroscopy is comprehensively described and experimentally validated using living animal models as target. The measurement method has proved the possibility of non-invasive, in-vivo, detection of hyperglycemia-associated conditions in different mouse models, making possible to clearly differentiate between several hyperglycemic states.

No MeSH data available.


Related in: MedlinePlus