The omics in migraine

The term omics consist of three main areas of molecular biology, such as genomics, proteomics and metabolomics. The omics synergism recognise migraine as an ideal study model, due to its multifactorial nature. In this review, the plainly research data featuring in this complex network are reported and analyzed, as single or multiple factor in pathophysiology of migraine. The future of migraine biomolecular research shall be focused on networking among these different and hierarchical disciplines. We have to look for its Ariadne's tread, in order to see the whole painting of migraine molecular biology

Hypoglycemia Assessed by Continuous Glucose Monitoring Is Associated with Preclinical Atherosclerosis in Individuals with Impaired Glucose Tolerance

Hypoglycemia is associated with increased risk of cardiovascular adverse clinical outcomes. There is evidence that impaired glucose tolerance (IGT) is associated with cardiovascular morbidity and mortality. Whether IGT individuals have asymptomatic hypoglycemia under real-life conditions that are related to early atherosclerosis is unknown. To this aim, we measured episodes of hypoglycemia during continuous interstitial glucose monitoring (CGM) and evaluated their relationship with early manifestation of vascular atherosclerosis in glucose tolerant and intolerant individuals. An oral glucose tolerance test (OGTT) was performed in 79 non-diabetic subjects. Each individual underwent continuous glucose monitoring for 72 h. Cardiovascular risk factors and ultrasound measurement of carotid intima-media thickness (IMT) were evaluated. IGT individuals had a worse cardiovascular risk profile, including higher IMT, and spent significantly more time in hypoglycemia than glucose-tolerant individuals. IMT was significantly correlated with systolic (r = 0.22; P = 0.05) and diastolic blood pressure (r = 0.28; P = 0.01), total (r = 0.26; P = 0.02) and LDL cholesterol (r = 0.27; P = 0.01), 2-h glucose (r = 0.39; P<0.0001), insulin sensitivity (r = −0.26; P = 0.03), and minutes spent in hypoglycemia (r = 0.45; P<0.0001). In univariate analyses adjusted for gender, minutes spent in hypoglycemia were significantly correlated with age (r = 0.26; P = 0.01), waist circumference (r = 0.33; P = 0.003), 2-h glucose (r = 0.58; P<0.0001), and 2-h insulin (r = 0.27; P = 0.02). In a stepwise multivariate regression analysis, the variables significantly associated with IMT were minutes spent in hypoglycemia (r2 = 0.252; P<0.0001), and ISI index (r2 = 0.089; P = 0.004), accounting for 34.1% of the variation. Episodes of hypoglycemia may be considered as a new potential cardiovascular risk factor for IGT individuals

Twenty-four-hour glucose profiles of 10 representative individuals with IGT.

<p>Dashed line indicates the 70 mg/dl glucose threshold.</p

Anthropometric and biochemical characteristics of the study subjects.

<p>Data are means ± SD. Data in brackets are ranges of minimum and maximum value. Data of CV of interstitial glucose during CGM are reported as the mean, the range and the 95% CI for comparison between the groups. Categorical variables were compared by χ2 test. <i>P</i> values refer to results after analyses with adjustment for age, and gender using a general linear model.</p><p>*<i>P</i> values refer to results after analysis with adjustment for gender using a general linear model. BMI: body mass index; SBP = systolic blood pressure; DBP = diastolic blood pressure. NS = Not significant.</p

Univariate correlations between IMT and anthropometric and biochemical variables.

<p>Partial correlation coefficients adjusted for age and gender were computed between variables. <i>P</i> values refer to results after analyses with adjustment for age, and gender.</p><p>*<i>P</i> values refer to results after analysis with adjustment for gender. BMI = Body Mass Index, SBP = systolic blood pressure; DBP = diastolic blood pressure.</p

Twenty-four-hour glucose profiles of 10 representative individuals with NGT.

<p>Dashed line indicates the 70 mg/dl glucose threshold.</p

LC-MS/MS simultaneous analysis of allopregnanolone; epiallopregnanolone; pregnanolone; dehydroepiandrosterone and dehydroepiandrosterone 3-sulfate in human plasma

AIM: Several neuropsychopharmacological properties have been attributed to the 3α-reduced pregnane steroids, allopregnanolone and pregnanolone, as well as to dehydroepiandrosterone sulfate because of their ability to modulate γ-aminobutyric acid (GABAA) receptors in the CNS. In order to understand better their role in several mechanisms in CNS, a new methodology is proposed to monitor these compounds in human plasma. Methodology & results: The analytes were first derivatized with 2-hydrazinopyridine and extracted from plasma using SPE. Then, the compounds were separated and detected by LC-MS/MS. A mobile phase of formic acid (0.1%) in water and methanol through a gradient of composition and a flow rate of 0.3 ml min-1 resulted in good separations of the analytes. Linear responses in wide range of concentrations and LOQs ranging from 10 (dehydroepiandrosterone 3-sulfate) to 40 pg ml-1 (dehydroepiandrosterone) were obtained in <9 min. The method proposed has been validated and then applied to monitor these neurosteroids in plasma samples from ten volunteers. CONCLUSION: For the first time, a straightforward and reliable method for the chromatographic separation of allopregnanolone, epiallopregnanolone and pregnanolone, as well as of dehydroepiandrosterone and dehydroepiandrosterone 3-sulfate was carried out, with optimal accuracy, sensitivity and specificity