Quantitative morphological changes in endocrine pancreas of rats with spontaneous diabetes mellitus

1989 ◽  
Vol 57 (1) ◽  
pp. 375-381 ◽  
Author(s):  
César L. A. Gomez Dumm ◽  
María C. Semino ◽  
Juan J. Gagliardino
Keyword(s):  
Diabetes Mellitus ◽  
Endocrine Pancreas ◽  
Morphological Changes ◽  
Spontaneous Diabetes

Retinal vascular geometry detection as a biomarker in diabetes mellitus

2021 ◽  
pp. 112067212110334
Author(s):  
Meng Li ◽  
Gengyuan Wang ◽  
Honghui Xia ◽  
Ziqing Feng ◽  
Peng Xiao ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Regression Analysis ◽  
Healthy Subjects ◽  
Morphological Changes ◽  
Vessel Diameter ◽  
Parameter Analysis ◽  
Generative Adversarial Network ◽  
Vascular Geometry ◽  
Fundus Photographs ◽  
Retinal Vascular Geometry

Objective: To compare the vessel geometry characteristics of color fundus photographs in normal control and diabetes mellitus (DM) patients and to find potential biomarkers for early diabetic retinopathy (DR) based on a neural network vessel segmentation system and automated vascular geometry parameter analysis software. Methods: A total of 102 consecutive patients with type 2 DM (T2DM) and 132 healthy controls were recruited. All participants underwent general ophthalmic examinations, and retinal fundus photographs were taken with a digital fundus camera without mydriasis. Color fundus photographs were input into a dense-block generative adversarial network (D-GAN)-assisted retinal vascular segmentation system ( http://www.gdcerc.cn:8081/#/login ) to obtain binary images. These images were then analyzed by customized software (ocular microvascular analysis system V2.9.1) for automatic processing of vessel geometry parameters, including the monofractal dimension ( Dbox), multifractal dimension ( D0), vessel area ratio ( R), max vessel diameter ( dmax), average vessel diameter ( dave), arc–chord ratio (A/C), and tortuosity (τn). Geometric differences between the healthy subjects and DM patients were analyzed. Then, regression analysis and receiver operating characteristic (ROC) curve analysis were performed to evaluate the diagnostic efficiency of the vascular geometry parameters. Results: No significant differences were observed between the baseline characteristics of each group. DM patients had lower Dbox and D0 values (1.330 ± 0.041; 1.347 ± 0.038) than healthy subjects (1.343 ± 0.048, p < 0.05; 1.362 ± 0.042, p < 0.05) and showed increasing values of dmax, dave, A/C, and τn compared with normal controls, although only the differences in dave and τn between the groups were statistically significant. In the regression analysis, dave and τn showed a good correlation with diabetes ( dave, OR 1.765, 95% CI 1.319–2.362, p < 0.001; τn, OR 9.323, 95% CI 1.492–58.262, p < 0.05). Conclusions: We demonstrated the relationship between retinal vascular geometry and the process in DM patients, showing that Dbox, D0, dave, and τn may be indicators of morphological changes in retinal vessels in DM patients and can be early biomarkers of DR.

MORPHOLOGICAL CHANGES IN THE ENDOCRINE PANCREAS IN PREGNANT RATS WITH EXPERIMENTAL DIABETES

1979 ◽  
Vol 80 (2) ◽  
pp. 175-179 ◽  
Author(s):  
F. A. VAN ASSCHE ◽  
L. AERTS ◽  
W. GEPTS
Keyword(s):  
Endocrine Pancreas ◽  
Experimental Diabetes ◽  
Morphological Changes ◽  
Normal Pregnancy ◽  
Β Cells ◽  
Pregnant Rats ◽  
Pregnant Rat ◽  
Human Pregnancy ◽  
The Individual

This present study has demonstrated that during normal pregnancy in the rat the number of β-cells is increased (hyperplasia) and the volume of the individual β-cells is increased (hypertrophy). During experimental diabetes, however, the endocrine pancreas has an impaired capacity to compensate during pregnancy. In the experimental diabetic pregnant rat the β-cells cannot replicate due to the unfavourable metabolic environment. This could reflect the complications caused by diabetes during human pregnancy.

Mechanisms of cyclosporine protection against spontaneous diabetes mellitus in the BB/Wor rat

1989 ◽  
Vol 2 (2) ◽  
pp. 133-150 ◽  
Author(s):  
Hernan Baquerizo ◽  
John Leone ◽  
Clifford Pukel ◽  
Peter Wood ◽  
Alexander Rabinovitch
Keyword(s):  
Diabetes Mellitus ◽  
Spontaneous Diabetes
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