The combination of mitochondrial low enzyme-activity aldehyde dehydrogenase 2 allele and superoxide dismutase 2 genotypes increases the risk of hypertension in relation to alcohol consumption.

A cooperative role of mitochondrial aldehyde dehydrogenase 2 (ALDH2) and superoxide dismutase 2 (SOD2) to maintain the vascular function has recently been demonstrated in nitrate tolerance. The present study examined whether the combination of low enzyme-activity variants of ALDH2 and SOD2 increases the risk of hypertension in relation to alcohol consumption. A total of 444 Japanese participants in a health-screening program were evaluated.

A preliminary investigation of the association between haptoglobin polymorphism, serum ferritin concentration and fatty liver disease.

Background: The genetic polymorphism of haptoglobin (HP) has been associated with cardiovascular disease and type 2 diabetes. We hypothesized that the HP polymorphism could affect the incidence of nonalcoholic fatty liver disease (NAFLD).

Methods: This cross sectional case-control analysis included 337 Japanese participants in a health screening program.

Association between combinations of glutathione-S-transferase M1, T1 and P1 genotypes and non-alcoholic fatty liver disease.

Background/aims: Glutathione-S-transferases (GSTs) play a crucial role in antioxidant defence mechanisms, by detoxifying xenobiotics and by inactivating endogenous byproducts of oxidative stress. Functional failure, as a sequel of an altered GST genotype, may thus aggravate non-alcoholic fatty liver disease (NAFLD). This study investigated whether the GSTs genotypes could affect the risk for NAFLD.

Association between SCN1A polymorphism and carbamazepine-resistant epilepsy.

Aims: To establish whether the SCN1A IVS5-91 G > A polymorphism of the SCN1A gene, which encodes the neuronal sodium channel alpha subunit, affects responsiveness to the antiepileptic drugs (AEDS) carbamazepine and/or phenytoin.

Methods: SCN1A IVS5-91 G > A polymorphism was genotyped in 228 Japanese epileptic patients treated with AEDs. The association between AED responsiveness and the polymorphism was estimated by logistic regression analysis, adjusting for clinical factors affecting the outcome of AED therapy.

Noninvasive near-infrared blood glucose monitoring using a calibration model built by a numerical simulation method: Trial application to patients in an intensive care unit.

We have applied a new methodology for noninvasive continuous blood glucose monitoring, proposed in our previous paper, to patients in ICU (intensive care unit), where strict controls of blood glucose levels are required. The new methodology can build calibration models essentially from numerical simulation, while the conventional methodology requires pre-experiments such as sugar tolerance tests, which are impossible to perform on ICU patients in most cases. The in vivo experiments in this study consisted of two stages, the first stage conducted on healthy subjects as preliminary experiments, and the second stage on ICU patients.

Multi-objective genetic algorithm-based sample selection for partial least squares model building with applications to near-infrared spectroscopic data.

In this study, multi-objective genetic algorithms (GAs) are introduced to partial least squares (PLS) model building. This method aims to improve the performance and robustness of the PLS model by removing samples with systematic errors, including outliers, from the original data. Multi-objective GA optimizes the combination of these samples to be removed.

New methodology to obtain a calibration model for noninvasive near-infrared blood glucose monitoring.

This paper reports new methodology to obtain a calibration model for noninvasive blood glucose monitoring using diffuse reflectance near-infrared (NIR) spectroscopy. Conventional studies of noninvasive blood glucose monitoring with NIR spectroscopy use a calibration model developed by in vivo experimental data sets. In order to create a calibration model, we have used a numerical simulation of light propagation in skin tissue to obtain simulated NIR diffuse reflectance spectra.

Improvement of the partial least squares model performance for oral glucose intake experiments by inside mean centering and inside multiplicative signal correction.

Near infrared (NIR) spectroscopy has become a promising technique for the in vivo monitoring of glucose. Several capillary-rich locations in the body, such as the tongue, forearm, and finger, have been used to collect the in vivo spectra of blood glucose. For such an in vivo determination of blood glucose, collected NIR spectra often show some dependence on the measurement conditions and human body features at the location on which a probe touches.