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To investigate the diagnostic performance of fully automated radiomics-based models for multiclass classification of a single enhancing brain tumor among glioblastoma, central nervous system lymphoma, and metastasis.The training and test sets were comprised of 538 cases (300 glioblastomas, 73 lymphomas, and 165 metastases) and 169 cases (101 glioblastomas, 29 lymphomas, and 39 metastases), respectively. After fully automated segmentation, radiomic features were extracted. Three conventional machine learning classifiers, including least absolute shrinkage and selection operator (LASSO), adaptive boosting (Adaboost), and support vector machine with the linear kernel (SVC), combined with one of four feature selection methods, including forward sequential feature selection, F score, mutual information, and LASSO, were trained. Additionally, one ensemble classifier based on the three classifiers was used. The diagnostic performance of the optimized models was tested in the test set using the accuracy, F1-macro score, and the area under the receiver operating characteristic curve (AUCROC).The best performance was achieved when the LASSO was used as a feature selection method. In the test set, the best performance was achieved by the ensemble classifier, showing an accuracy of 76.3% (95% CI, 70.0-82.7), a F1-macro score of 0.704, and an AUCROC of 0.878.Our fully automated radiomics-based models for multiclass classification might be useful for differential diagnosis of a single enhancing brain tumor with a good diagnostic performance and generalizability.

Background and purpose Increasing evidence suggests that genomic and molecular markers need to be integrated in grading of meningioma. Telomerase reverse transcriptase promoter (TERTp) mutation is receiving attention due to its clinical relevance in the treatment of meningiomas. The predictive ability of conventional and diffusion MRI parameters for determining the TERTp mutation status in grade II meningiomas has yet been identified. Material and methods In this study, 63 patients with surgically confirmed grade II meningiomas (56 TERTp wildtype, 7 TERTp mutant) were included. Conventional imaging features were qualitatively assessed. The maximum diameter, volume of the tumors and histogram parameters from the apparent diffusion coefficient (ADC) were assessed. Independent clinical and imaging risk factors for TERTp mutation were investigated using multivariable logistic regression. The discriminative value of the prediction models with and without imaging features was evaluated. Results In the univariable regression, older age (odds ratio [OR] = 1.13, P = 0.005), larger maximum diameter (OR = 1.09, P = 0.023), larger volume (OR = 1.04, P = 0.014), lower mean ADC (OR = 0.02, P = 0.025), and lower ADC 10th percentile (OR = 0.01, P = 0.014) were predictors of TERTp mutation. In multivariable regression, age (OR = 1.13, P = 0.009) and ADC 10th percentile (OR = 0.01, P = 0.038) were independent predictors of variables for predicting the TERTp mutation status. The performance of the prediction model increased upon inclusion of imaging parameters (area under the curves of 0.86 and 0.91, respectively, without and with imaging parameters). Conclusion Older age and lower ADC 10th percentile may be useful parameters to predict TERTp mutation in grade II meningiomas.

The incidence of pancreatic neuroendocrine tumor (PNET) has continued to rise. Due to their indolent feature, PNET patients often present with incurable, metastatic diseases. Novel therapies are urgently needed. We have previously shown that Receptor for Hyaluronic Acid-Mediated Motility isoform B (RHAMMB) and Bcl-xL are upregulated in PNETs and both of them promote PNET metastasis. Because RHAMM protein is undetectable in most adult tissues, we hypothesized that RHAMMB could be a gateway for nanomedicine delivery into PNETs. To test this, we developed RHAMMB-targeting nanoparticle. Inside this nanoparticle, we assembled siRNA against Bcl-xL (siBcl-xL) and mitochondria-fusing peptide KLA. We demonstratsed that RHAMMB-positive PNETs picked up the RHAMMB-targeting nanoparticles. siBcl-xL or KLA alone only killed 30% of PNET cells. In contrast, a synergistic killing effect was achieved with the co-delivery of siBcl-xL and KLA peptide in vitro. Unexpectedly, siBcl-xL induced cell death before reducing Bcl-xL protein levels. The systemically-injected RHAMMB-targeting nanoparticles carrying siBcl-xL and KLA peptide significantly reduced tumor burden in mice bearing RHAMMB-positive PNETs. Together, these findings indicate that the RHAMMB-targeting nanotherapy serves as a promising drug delivery system for PNET and possibly other malignancies upregulating RHAMMB. The combination of siBcl-xL and KLA peptide can be a therapy for PNET treatment.

Brain atrophy is related to vascular risk factors and can increase cognitive dysfunction risk. This community-based, cross-sectional study investigated whether glucose metabolic disorders due to body fatness are linked to regional changes in brain structure and a decline in neuropsychological function in cognitively healthy older adults. From 2016 to 2019, 429 participants underwent measurements for cortical thickness and subcortical volume using 3 T magnetic resonance imaging and for cognitive function using the neuropsychological screening battery. The effects of body fatness mediated by impaired glucose metabolism on neuroimaging markers and cognitive function was investigated using partial least square structural equation modeling. Total grey matter volume (β = −0.020; bias-corrected (BC) 95% confidence interval (CI) = -0.047 to −0.006), frontal (β = −0.029; BC 95% CI = −0.063 to −0.005) and temporal (β = −0.022; BC 95% CI = −0.051 to −0.004) lobe cortical thickness, and hippocampal volume (β = −0.029; BC 95% CI = −0.058 to −0.008) were indirectly related to body fatness. Further, frontal/temporal lobe thinning was associated with recognition memory (β = −0.005; BC 95% CI = −0.012 to −0.001/β = −0.005; BC 95% CI = −0.013 to −0.001) and delayed recall for visual information (β = −0.005; BC 95% CI = −0.013 to −0.001/β = −0.005; BC 95% CI = −0.013 to −0.001). Additionally, the smaller the hippocampal volume, the lower the score in recognition memory (β = −0.005; BC 95% CI = −0.012 to −0.001), delayed recall for visual information (β = −0.005; BC 95% CI = −0.012 to −0.001), and verbal learning (β = −0.008; BC 95% CI = −0.017 to −0.002). Our findings indicate that impaired glucose metabolism caused by excess body fatness affects memory decline as well as regional grey matter atrophy in elderly individuals with no neurological disease.

Firefighters are exposed to physical and mental threats in the working environment that put them at risk for occupational stress and burnout. Stress responses can impact the functional interactions between brain regions involved in emotional and cognitive regulation. The objective of this study was to investigate brain functional connectivity (FC) related to occupational stress in firefighters. Male firefighters (n = 77) completed the Korean Occupational Stress Scale questionnaire on occupational stress and underwent brain magnetic resonance imaging. Seed-based FC analyses were conducted by setting core regions of the large-scale functional networks as seeds. Subsequent correlational analyses detected relationships between occupational stress scale scores and brain FC. The results showed that occupational stress was negatively correlated with FC between the central executive network (CEN)-related brain regions and seed regions of other networks. Additionally, occupational stress was negatively correlated with FC within the default mode network (DMN), but positively correlated with FC between the salience network (SN) and the DMN. Changes in FC in large-scale neural networks are likely involved in occupational stress responses. Taken together, these results suggest that proper management of occupational stress may help prevent the occurrence of clinical problems caused by changes in brain functional networks.

Purpose To evaluate the clinical feasibility of low-dose orbital CT with a knowledge-based iterative model reconstruction (IMR) algorithm for evaluating Graves' orbitopathy. Methods Low-dose orbital CT was performed with a CTDIvol of 4.4 mGy. In 12 patients for whom prior or subsequent non-low-dose orbital CT data obtained within 12 months were available, background noise, SNR, and CNR were compared for images generated using filtered back projection (FBP), hybrid iterative reconstruction (iDose4), and IMR and non-low-dose CT images. Comparison of clinically relevant measurements for Graves' orbitopathy, such as rectus muscle thickness and retrobulbar fat area, was performed in a subset of 6 patients who underwent CT for causes other than Graves' orbitopathy, by using the Wilcoxon signed-rank test. Results The lens dose estimated from skin dosimetry on a phantom was 4.13 mGy, which was on average 59.34% lower than that of the non-low-dose protocols. Image quality in terms of background noise, SNR, and CNR was the best for IMR, followed by non-low-dose CT, iDose4, and FBP, in descending order. A comparison of clinically relevant measurements revealed no significant difference in the retrobulbar fat area and the inferior and medial rectus muscle thicknesses between the low-dose and non-low-dose CT images. Conclusions Low-dose CT with IMR may be performed without significantly affecting the measurement of prognostic parameters for Graves' orbitopathy while lowering the lens dose and image noise.

Functional neuroimaging data was collected while postpartum women and age-matched control women performed the Remember/Know judgment task in the functional magnetic resonance imaging scanner. This data provides information about functional connectivity patterns across the subjective recollection networks that were informative in differentiating the postpartum women from control women. Classification performances based on machine learning algorithms and descriptions of functional connectivity patterns that derived the peak classification accuracy are reported in this article. All other results from our study have been reported in Nah et al. (2018) [1]. Keywords: Episodic memory, Functional connectivity, Postpartum women, Subjective recollection effect

3D-networked boron-doped diamond (BDD) nanowire was synthesized using an electrostatic self-assembly technique and a chemical vapor deposition process. This BDD nanowire was a BDD-CNT core-shell hybrid nanostructure and applied as an active electrode material on electrochemical sensor. Because electrochemical sensing performance is generally affected by its surface structure and interface characteristics, the deposition time was controlled to identify the optimal morphology. As the deposition time increased, the BDD-CNT nanostructures became thicker, while their porosity and electron transfer resistance were smaller. The electrochemical properties of the BDD based electrodes were investigated by cyclic voltammetry and electrochemical impedance spectroscopy. The BDD-CNT electrodes had the significantly higher sensitivity and wider linear range than the BDD electrode due to large surface area and low electron transfer resistance. The BDD-CNT 40 electrode exhibited a highest sensitivity (275.27 μA/mM∙cm2). Therefore, the 3D-networked BDD nanostructures can be applied for electrochemical detection of various analytes as a promising electrode material.

Background To develop a diagnostic tree analysis (DTA) model based on demographical information and conventional MRI for differential diagnosis of adult pilocytic astrocytomas (PAs) and high-grade gliomas (HGGs; World Health Organization grade III-IV). Methods A total of 357 adult patients with pathologically confirmed PA (n = 65) and HGGs (n = 292) who underwent conventional MRI were included. The patients were randomly divided into training (n = 250) and validation (n = 107) datasets to assess the diagnostic performance of the DTA model. The DTA model was created using a classification and regression tree algorithm on the basis of demographical and MRI findings. Results In the DTA model, tumor location (on cerebellum, brainstem, hypothalamus, optic nerve, or ventricle), cystic mass with mural nodule appearance, presence of infiltrative growth, and major axis (cutoff value, 2.9 cm) were significant predictors for differential diagnosis of adult PAs and HGGs. The AUC, accuracy, sensitivity, and specificity were 0.94 (95% confidence interval 0.86–1.00), 96.2%, 89.5%, and 97.7%, respectively, in the test set. The accuracy of the DTA model was significantly higher than the no-information rate in the test (96.2 % vs 85.0%, P Conclusion The DTA model based on MRI findings may be useful for differential diagnosis of adult PA and HGGs.

Background In the tradition of phenomenology, minimal selfdisturbance has been suggested as a manifestation of the core pathogenesis of schizophrenia; however, the underlying neural mechanism remains unclear. Here, in line with the concept of “cognitive dysmetria,” we investigated the cerebro-cerebellar default mode network (DMN) connectivity and its association with pre-reflective minimal selfdisturbance in individuals at ultra-high risk (UHR) for psychosis and patients with first-episode schizophrenia (FES). Methods Thirty-three UHR individuals, 18 FES patients, and 56 healthy controls (HCs) underwent functional magnetic resonance imaging during rest at baseline. Seed-based functional connectivity (FC) analysis was performed using the cerebellar DMN seeds from the bilateral Crus I, followed by between-group comparisons. Correlation analysis was conducted to examine the relationship between the cerebro-cerebellar FC and the self-reported severity of minimal self-disturbance in the UHR and FES groups, respectively. Results FES participants showed significantly reduced cerebellar FC with the left presupplementary motor area (preSMA), right anterior prefrontal cortex (aPFC), and precuneus compared to HCs, while UHR participants showed an intermediate decrease between the other two groups, particularly in the left preSMA and right aPFC. Minimal self-disturbance, which appeared at similar levels in both UHR and FES groups, was significantly associated with cerebro-cerebellar FC, although each group presented different patterns of associations. Conclusions Aberrant cerebro-cerebellar FC, which may be closely related to minimal self-disturbance, may be able to provide meaningful insights into the real gestalt of schizophrenia and contribute to further research to predict future psychosis in UHR individuals.

Despite the possible relationship between impaired self-referential processing and anhedonia, it has not yet been investigated. This study investigated an abnormality in brain activation associated with self-referential processing and its relationship with anhedonia in schizophrenia, specifically in self-related brain regions of interest. Twenty patients with schizophrenia and 25 controls underwent functional magnetic resonance imaging while rating the degree of relevance between faces (self, familiar other, or unfamiliar other) and words (positive, negative, or neutral). Brain activation in self-related regions, including the ventral and dorsal medial prefrontal cortices, anterior cingulate cortex (ACC), posterior cingulate cortex, precuneus, and insula, were compared between groups and their correlations with anhedonia level were calculated. Compared to controls, patients were less likely to rate negative words as irrelevant for the self face. Patients showed significantly increased activation in the ACC and precuneus compared to controls, irrespective of conditions. ACC activity in the self-neutral word condition was positively correlated with anhedonia score in patients. These results suggest that patients with schizophrenia may have an abnormality in the self-related cortical midline structures and particularly, abnormal ACC activation may be involved in anhedonia. Disrupted self-referential processing may be a possible cause of anhedonia in schizophrenia.

Self-referential processing, theory of mind, and working memory are distorted in social anxiety disorder (SAD). This study aimed to investigate characteristics of altered self-referential working memory processing and resting-state functional connectivity in patients with SAD. Twenty patients and 20 healthy controls underwent functional magnetic resonance imaging at resting-state and while performing a working memory task containing faces with self-referential positive or negative comments and three memory phases (encoding, maintenance, and retrieval). Task-related results were compared between groups and tested for correlations. Resting-state connectivity between amygdala subregions and regions showing a task-related difference was also compared between groups. Patients compared to controls showed augmented memory for the negative comments, hyperactivation of the dorsomedial prefrontal cortex and temporo-parietal junction during encoding, and hypoactivation of the dorsolateral prefrontal cortex and insula during retrieval. At resting-state, increased connectivity of amygdala subregions with multiple task-related regions was found in patients. These findings suggest that the encoding process in SAD is accompanied by altered involvement of self-referential processing and theory of mind, whereas the retrieval process reflects impaired cognitive control. These memory-related processing may be affected by predisposing resting-state hyperconnectivity with the amygdala, and may underlie a hypersensitivity to negative comments and post-event reflection in SAD.

Sirtuin 3 (SIRT3) is an NAD(+)-dependent protein deacetylase. Recent studies have shown that SIRT3 expression is decreased in nonalcoholic fatty liver disease (NAFLD). Moreover, SIRT3 is a key regulator of succinate dehydrogenase (SDH), which catalyzes the oxidation of succinate to fumarate. Increased succinate concentrations and the specific G protein-coupled receptor 91 (GPR91) are involved in the activation of hepatic stellate cells (HSCs). In this study, we aimed to establish whether SIRT3 regulated the SDH activity, succinate, and GPR91 expression in HSCs and an animal model of NAFLD. Our goal was also to determine whether succinate released from hepatocytes regulated HSC activation. Inhibiting SIRT3 using SIRT3 siRNA exacerbated HSC activation via the SDH-succinate-GPR91 pathway, and SIRT3 overexpression or honokiol treatment attenuated HSC activation in vitro In isolated liver and HSCs from methionine- and choline-deficient (MCD) diet-induced NAFLD, the expression of SIRT3 and SDH activity was decreased, and the succinate concentrations and GPR91 expression were increased. Moreover, we found that GPR91 knockdown or resveratrol treatment improved the steatosis in MCD diet-fed mice. This investigation revealed a novel mechanism of the SIRT3-SDH-GPR91 cascade in MCD diet-induced HSC activation in NAFLD. These findings highlight the biological significance of novel strategies aimed at targeting SIRT3 and GPR91 in HSCs with the goal of improving NAFLD treatment.

Enzymatic biosensor reactions follow the Michaelis–Menten kinetics, coupled with diffusion. The diffusion reaction processes for amperometric enzyme biosensors have been simulated to explore the geometrical effects of nanowire array electrodes (NWAEs) and nanowire array stack electrodes (NWASEs) from the viewpoint of enhanced mass transport and increased reaction surface area in two limiting cases. For practical analysis considering sensor fabrication, most samples are assumed to have the same unit square (1 cm × 1 cm) footprint. In the reaction-controlled case, the surface area increment improves the sensitivity regardless of electrode geometry. However, in the diffusion-controlled case, well-controlled NWAE or NWASE geometries as well as the increased surface area improve the sensitivity when the peak current at an early stage of the reaction is measured. Peak current engineering by adjusting the geometric parameters of NWAEs and NWASEs will result in a highly sensitive amperometric enzyme biosensor in the diffusion-controlled case. In contrast to previous micro- and nanoelectrode array studies, we investigated NWASEs representing entangled nanowire network electrodes, and report significant improvements in both limiting cases.

A non-enzymatic biosensor was developed using boron-doped nanocrystalline diamond (BDND) based on a Cu electrode with Cu(OH) 2 dendritic architecture. The Cu(OH) 2 nanoflower electrode was covered with a BDND layer using an electrostatic self-assembly seeding method with nanodiamond particles and hot-filament chemical vapor deposition. X-ray diffraction and Raman spectral analysis confirmed that the BDND nanoflower electrode was synthesized onto Cu(OH) 2 nanoflowers. Field-emission scanning electron microscope images showed that the fabricated electrodes were nanoflowers possessing large surface areas. From cyclic voltammetry, the peak currents of an BDND/Cu(OH) 2 /Cu electrode was about 7, 6.2, and 5.9 times higher than that of the Cu foil, Cu(OH) 2 /Cu, and BDND/Cu electrodes, respectively. A biosensor based on BDND/Cu(OH) 2 /Cu exhibited excellent performance for glucose detection, and it had a linear detection range of 0 to 6 mM, a correlation coefficient of 0.9994, a low detection limit of 9 μM, and a high sensitivity of 2.1592 mA mM − 1 cm − 1 .

An electrochemical sensor based on a boron-doped diamond (BDD) electrode decorated with gold nanoparticles (Au-NPs) was developed for the detection of protons using a ferrocene-tagged (Fc-tagged) aptamer. By introducing the Au-NPs, the aptamer with a thiol-terminated group was immobilized on the Au-NPs/BDD electrode by Au-S interaction. Morphology and characteristics of the modified BDD electrode were analyzed by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The employed aptamer is a cytosine-rich single stranded oligonucleotide. In this oligonucleotide, the distance between the labeled redox moiety and the electrode changes with the pH value because of the formation of an i-motif structure from cytosine-protonated cytosine (C–C+) pairs. The pH influenced the electron transfer process and the redox current. The synergetic effects of the BDD electrode and the Au-NPs improved the performance of this sensor. Therefore, the Au-NPs/BDD electrode exhibited higher sensitivity, faster response, a wider linear range and a good reproducibility for the detection of proton compared with the planar Au electrode.

The cholinergic system arising from the substantia innominata (SI) of the basal forebrain has an important role in the cognitive functions of Parkinson's disease (PD). We performed magnetic resonance imaging based volumetric analysis to evaluate the SI volume in patients with PD-intact cognition (PD-IC), PD-mild cognitive impairment (PD-MCI), and PD dementia (PDD). The mean normalized SI volume was significantly decreased in patients with PD-IC (1.54 ± 0.12, p < 0.001), PD-MCI (1.49 ± 0.12, p < 0.001), and PDD (1.39 ± 0.12, p < 0.001) compared with that of control subjects (1.68 ± 0.11). The normalized SI volume did not differ between patients with PD-IC and PD-MCI; however, the normalized SI volume was significantly decreased in patients with PDD compared with that in those with PD-IC (p < 0.001) or PD-MCI (p = 0.016). The normalized SI volume was significantly correlated with general cognitive status (r = 0.51, p < 0.001) as well as with performance in each cognitive subdomain, with a particularly significant independent association with attention (β = 0.33, p = 0.003) and object naming (β = 0.26, p = 0.017). The present study demonstrated that the SI volume in PD differs depending on cognitive status and is significantly correlated with cognitive performance.

Diffusion tensor imaging (DTI) and perfusion-weighted imaging (PWI) are essential tools for diagnosing, differentiating, and monitoring brain tumors. High-field MRI provides higher signal-to-noise ratio, shorter scan time, and better image quality. One-stop multiparametric study, including DTI and PWI, is possible with high-field MRI in brain tumors. DTI can be used for assessing spatial relationship between major white matter tract and tumor, differentiating gliomas from nonglial tumors, and postoperative evaluation. PWI provides reliable biomarkers for glioma grading, therapeutic responses, and differential diagnosis of various brain tumors. With higher field strength, better-quality DTI and PWI can raise the diagnostic accuracy in brain tumors.

Photoluminescent (PL) p-type 6H porous silicon carbides (PSCs), which showed a strong blue-green photoluminescence band centered at approximately 490 nm, were annealed in Ar and vacuum conditions. The morphological, optical, and chemical states after annealing are reported on electrochemically etched SiC semiconductors. The thermal treatments in the Ar and vacuum environments showed different trends in the PL spectra of the PSC. In particular, in the case of annealing in a vacuum, the PL spectra showed both a weak red PL peak near 630 nm and a relatively intense PL peak at around 430 nm in the violet region. SEM images showed that the etched surface had spherical nanostructures, mesostructures, and islands. With increasing annealing temperature it changes all spherical nanostructures. The average pore size observed at the surface of the PSC before annealing was of the order of approximately 10 nm. In order to investigate the surface of a series of samples in detail, both the detection of a particular chemical species and the electronic environments at the surface are examined using X-ray photoelectron spectroscopy (XPS). The chemical states from each XPS spectrum depend differently before and after annealing the surface at various temperatures. From these results, the PL spectra could be attributed not only to the quantum size effects but also to the oxide state.

Rationale and Objectives Treatment of brain neoplasms can greatly benefit from better delineation of bulk neoplasm boundary and the extent and degree of more subtle neoplastic infiltration. Magnetic resonance imaging (MRI) is the primary imaging modality for evaluation before and after therapy, typically combining conventional sequences with more advanced techniques such as perfusion-weighted imaging and diffusion tensor imaging (DTI). The purpose of this study is to quantify the multiparametric imaging profile of neoplasms by integrating structural MRI and DTI via statistical image analysis methods to potentially capture complex and subtle tissue characteristics that are not obvious from any individual image or parameter. Materials and Methods Five structural MRI sequences, namely, B0, diffusion-weighted images, fluid-attenuated inversion recovery, T1-weighted, and gadolinium-enhanced T1-weighted, and two scalar maps computed from DTI (ie, fractional anisotropy and apparent diffusion coefficient) are used to create an intensity-based tissue profile. This is incorporated into a nonlinear pattern classification technique to create a multiparametric probabilistic tissue characterization, which is applied to data from 14 patients with newly diagnosed primary high-grade neoplasms who have not received any therapy before imaging. Results Preliminary results demonstrate that this multiparametric tissue characterization helps to better differentiate among neoplasm, edema, and healthy tissue, and to identify tissue that is likely to progress to neoplasm in the future. This has been validated on expert assessed tissue. Conclusion This approach has potential applications in treatment, aiding computer-assisted surgery by determining the spatial distributions of healthy and neoplastic tissue, as well as in identifying tissue that is relatively more prone to tumor recurrence.

While the majority of axonal organization is established by birth in mammalian brains, axonal wiring and pruning processes, as well as myelination, are known to extend to the postnatal periods, where environmental stimuli often play a major role. Normal axonal and myelin development of individual white matter tracts of human in this period is poorly understood and may have a major role in cognitive development of human. In this study, we applied diffusion tensor imaging and normalization-based population analyses to 44 preteen children and 30 adult images. We observed highly significant changes of fiber orientations at regions that correspond to the superior longitudinal fasciculus during the first five years. The result is attributed to slow axonal and/or myelin maturation of this tract, which is believed to be involved in language functions.

Unknown green pigment, responsible for greening in crushed garlic cloves, was purified and characterized by using a series of column chromatography, liquid chromatography–electrospray ionization (LC–ESI), fast atom bombardment (FAB), matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS), and nuclear magnetic resonance (NMR) spectroscopy. The purified green pigment was highly polar and slightly viscous, with a garlic flavor, and easily turned to a yellow or brown color with exposure to room temperature. The absorption spectrum in methanol showed a crude methanolic green pigment-like profile with two absorbance maxima at 440 and 590 nm. A compound based on MS spectra showing the ion peak at m / z 412 is responsible for greening. Although complete isolation of the molecular weight (MW) 411 compound for proper structure elucidation was not achieved in our experiments, the MS and NMR spectra of the MW 411 green pigment suggested the ambiguous structural assignment of one sulfur atom and odd numbers of nitrogen atoms, with 25–30 carbons including aromatic ring. Therefore, we suggest the possibility that the green pigment MW 411 observed in crushed garlic cloves is a new sulfur-containing nitrogenous water-soluble compound differing significantly from all previously reported green pigments in plants.

Brain edema is a leading cause of death after stroke. Cytotoxic edema, which is most severe in astrocytes, begins within a few minutes of adenosine triphosphate depletion and reflects the ultimate infarct size. Vasogenic edema is caused by uncontrolled fluid leakage from the blood to the brain parenchyma through a weakened blood-brain barrier (BBB) and contributes to an actual net volume increase of the brain, which often leads to death. Recent research on ischemia-induced injury mechanisms of the microvasculature has led to the disclosure of the mechanisms and cellular pathways leading to BBB breakdown. In addition, the introduction of magnetic resonance imaging to clinical practice has enabled the evaluation of edema severity in stroke patients and differentiation between cytotoxic and vasogenic edema. Free radicals exert their deleterious actions during both cytotoxic and vasogenic edema. They can contribute to BBB disruption directly and can also trigger molecular pathways related to the dysfunction of ion transporters in the cell membrane and those related to increased vascular permeability. The development of effective therapeutic strategies aimed at reducing brain edema based on targeting specific molecular pathways involved may reduce death and disability from stroke.

Diffusion tensor imaging (DTI) was applied to 12 patients with focal cortical dysplasia (FCD) in frontal or occipital cortex. Fiber tractography was obtained from seeding points in superior longitudinal fasciculus or posterior corona radiata. Mean fractional anisotropy of fiber bundles around the affected cortex was decreased in comparison to the contralateral hemisphere with statistical significance (paired t test, P = 0.0274). On visual analysis, tractography depicted decreased volume of fiber bundles connected to the dysplastic cortex invariably even in those with a normal T2 signal intensity of underlying white matter adjacent to FCD. DTI has high potential to be applied to localize the FCD and to provide a better understanding of the pathological changes in the white matter.

Iridovirus is a causative agent of epizootics among cultured rock bream (Oplegnathus fasciatus) in Korea. Here, we report the complete genomic sequence of rock bream iridovirus (RBIV). The genome of RBIV was 112080 bp long and contained at least 118 putative open reading frames (ORFs), and its genome organization was similar to that of infectious spleen and kidney necrosis virus (ISKNV). Of the RBIV's 118 ORFs, 85 ORFs showed 60–99% amino acid identity to those of ISKNV. Phylogenetic analysis of major capsid protein (MCP), DNA repair protein RAD2, and DNA polymerase type-B family indicated that RBIV is closely related to red sea bream iridovirus (RSIV), Grouper sleepy disease iridovirus (GSDIV), Dwarf gourami iridovirus (DGIV), and ISKNV. The genome sequence provides useful information concerning the evolution and divergence of iridoviruses in cultured fish.

Metamorphopsia is a type of visual illusion, which has been reported as a rare ictal manifestation. The patient presented with a simple partial status epilepticus characterised by continuous facial metamorphopsia, intermittently accompanied by elementary visual hallucinations or other types of visual illusions. Subtraction single-photon emission computed tomography images showed an increased perfusion in the ventrolateral aspect of the right temporo-occipital junction (middle and inferior occipital, and inferior temporal gyri). The result suggests that the anatomical substrate involved in the generation of ictal facial metamorphopsia is located in the visual association areas at the right temporo-occipital junction.

Cancers may develop in the background of genomic instability with accumulated mutations. Helicobacter pylori gastritis is characterized by acute foveolitis of the proliferative zone, which is found in any stage of the gastritis as long as the infection persists. Because acute foveolitis targets specifically the proliferative zone of pits, the proliferating epithelial cells are under severe and persistent mutagenic pressure. In H. pylori gastritis, a characteristic morphological change of epithelial cells, the malgun (clear) cell change is frequently present in association with acute foveolitis. Malgun cells have enlarged euchromatic nuclei and abundant cytoplasm. The expression of proliferating cell nuclear antigen and cytokeratin 8 are typically up-regulated in them indicating that they are mitotically and metabolically active. Here, we report evidence for DNA damage and repair in malgun cells. Significant double-strand DNA breaks were shown by the consistent terminal dUTP nick-end labeling in the nuclei of malgun cells. Proteins related to DNA damage and repair, such as Ku, poly(ADP-ribosyl) polymerase, OGG1, and MSH2 were selectively up-regulated in malgun cells. Inducible nitric oxide synthase was also up-regulated. There were occasional bcl2- and p53-expressing cells suggesting that further steps of carcinogenesis took place at the single cell level. Our results suggest that the malgun cell change represents a characteristic morphological sign of cellular genomic damage and repair, and may be implicated in an early stage of carcinogenesis. It is suggested that acute foveolitis of the proliferative zone is a major pathogenetic step of gastric carcinogenesis in H. pylori gastritis.