6 research outputs found
Group differences of regional GM volumes in left hemisphere and their relationship with Multi-Scale GV.
<p>β*β indicates significant differences between the type 2 DM group (white) and controls (grey) in GM volumes (One-Way ANOVA); regional GM volumes in left hemisphere were correlated with Multi-Scale GV for diabetics and/or controls, blue indicates positive correlation, red indicates negative correlation with each GVC, G'β=βgyrus, β#β indicates we found similar relationship between Multi-Scale GV and GM volumes in the right hemisphere (<i>r<sup>2</sup></i>β=β0.26β074, <i>P</i><0.05). The bar graphs are presented as mean Β± SEM.</p
The brain regions associated with Multi-Scale GV.
<p>Higher glycemic variability of GVC<sub>1β3</sub> (period 0.5β2 hours) were associated with lower gray matter (GM) volume (red color; both hemispheres in the cingulate gyrus, hippocampal gyrus, middle and inferior temporal gyrus, insular cortex, the left superior parietal gyrus and right fusiform gyrus), greater GM volume (blue color; the bilateral supramarginal gyrus, left angular gyrus and left middle orbitofrontal gyrus), and greater cerebrospinal fluid (CSF) in the right lingual gyrus (green color).</p
Day and night Multi-Scale Glycemic Variability in older adults with and without type 2 DM As compared to controls, the type 2 DM group had greater variability during the day in GVC<sub>2β5</sub>, and night GVC<sub>3β5</sub>.
<p>At night, glycemic variability declined in type 2 DM in GVC<sub>2β4</sub> and in controls in GVC<sub>3</sub>. β*β (<i>P</i>β=β0.002) and ββ‘β (<i>P</i><0.0001) indicate significant differences between diabetics/day and controls/day; ββ₯β₯β (<i>P</i><0.0001) indicates significant differences between diabetics/night and controls/night; ββ β (<i>P</i>β=β0.003) and βΒ§β (<i>P</i><0.0001) indicates significant differences between diabetics/day and diabetics/night; βΒΆβ (<i>P</i>β=β0.028) indicates significant difference between control/day and control/night. All the <i>P</i> values were obtained by ANOVA. Results are presented as mean Β± SEM.</p
Relationships between the fourth glycemic variability cycle (GVC<sub>4</sub>) and conventional measures of glycemic control.
<p>The degree of glycemic variability within GVC<sub>4</sub> was highly correlated with SD (A) and MAGE (B), but the areas under the curves of GVC<sub>4</sub> and GVC<sub>5</sub> were greater than SD and MAGE (C). The degree of glycemic variability within GVC<sub>4</sub> was highly correlated several markers of glucose control including HbA1c (D). As with GVC<sub>4</sub> (the cycle linked with meal intake), the example in this figure, similar relationships were observed for all other GVC cycles. The <i>r<sup>2</sup></i> and <i>P</i> values represent the least square model fit.</p
Examples of least squares models indicating negative relationships between Multi-Scale GV and regional GM volumes as well as cognitive performance.
<p>(A) relationship between GVC<sub>2</sub> and GM volume in the left insular cortex; (B) relationship between GVC<sub>1</sub> and GM volume in the right fusiform gyrus; (C) relationship between GVC<sub>2</sub> and GM volume in the left cingulate gyrus; (D) relationship between GVC<sub>2</sub> and overall cognitive performance (composite T score) (diabetics: triangles; controls: circles). We presented <i>r<sup>2</sup></i> for the entire model adjusted for age and sex and group, and <i>P</i> values for the specific effect of Multi-scale GV.</p
Characteristics of the study cohort.
<p>Data are presented as mean Β± standard deviation (SD). P values were obtained by One-Way ANOVA to compare group means and using Wilcoxon Test for not normally distributed variables. The variables analyzed using Wilcoxon Test are Age, Sex, Race, Education, Hypertension, Microalbumin (urine), Cholesterol-to-HDL ratio, Triglycerides, Total number of Hypoglycemic Events, Average duration of Hypoglycemic Events, and Hematocrit, and other variables were analyzed using One-Way ANOVA. MMSE: Mini-Mental State Examination.</p