Smoking, tobacco dependence, and neurometabolites in the dorsal anterior cingulate cortex.

Cigarette smoking has a major impact on global health and morbidity, and positron emission tomographic research has provided evidence for reduced inflammation in the human brain associated with cigarette smoking. Given the consequences of inflammatory dysfunction for health, the question of whether cigarette smoking affects neuroinflammation warrants further investigation. The goal of this project therefore was to validate and extend evidence of hypoinflammation related to smoking, and to examine the potential contribution of inflammation to clinical features of smoking. Using magnetic resonance spectroscopy, we measured levels of neurometabolites that are putative neuroinflammatory markers. N-acetyl compounds (N-acetylaspartate + N-acetylaspartylglutamate), glutamate, creatine, choline-compounds (phosphocholine + glycerophosphocholine), and myo-inositol, have all been linked to neuroinflammation, but they have not been examined as such with respect to smoking. We tested whether people who smoke cigarettes have brain levels of these metabolites consistent with decreased neuroinflammation, and whether clinical features of smoking are associated with levels of these metabolites. The dorsal anterior cingulate cortex was chosen as the region-of-interest because of previous evidence linking it to smoking and related states. Fifty-four adults who smoked daily maintained overnight smoking abstinence before testing and were compared with 37 nonsmoking participants. Among the smoking participants, we tested for associations of metabolite levels with tobacco dependence, smoking history, craving, and withdrawal. Levels of N-acetyl compounds and glutamate were higher, whereas levels of creatine and choline compounds were lower in the smoking group as compared with the nonsmoking group. In the smoking group, glutamate and creatine levels correlated negatively with tobacco dependence, and creatine correlated negatively with lifetime smoking, but none of the metabolite levels correlated with craving or withdrawal. The findings indicate a link between smoking and a hypoinflammatory state in the brain, specifically in the dorsal anterior cingulate cortex. Smoking may thereby increase vulnerability to infection and brain injury.

Recent progress in analysis of intermediary metabolism by ex vivo 13 C NMR.

Advanced imaging technologies, large-scale metabolomics, and the measurement of gene transcripts or enzyme expression all enable investigations of intermediary metabolism in human patients. Complementary information about fluxes in individual metabolic pathways may be obtained by ex vivo 13 C NMR of blood or tissue biopsies. Simple molecules such as 13 C-labeled glucose are readily administered to patients prior to surgical biopsies, and 13 C-labeled glycerol is easily administered orally to outpatients. Here, we review recent progress in practical applications of 13 C NMR to study cancer biology, the response to oxidative stress, gluconeogenesis, triglyceride synthesis in patients, as well as new insights into compartmentation of metabolism in the cytosol. The technical aspects of obtaining the sample, preparing material for analysis, and acquiring the spectra are relatively simple. This approach enables convenient, valuable, and quantitative insights into intermediary metabolism in patients.

Combining neuroimaging and behavior to discriminate children with attention deficit-hyperactivity disorder with and without prenatal alcohol exposure.

In many patients, ostensible idiopathic attention deficit-hyperactivity disorder (ADHD) may actually stem from covert prenatal alcohol exposure (PAE), a treatment-relevant distinction. This study attempted a receiver-operator characteristic (ROC) classification of children with ADHD into those with PAE (ADHD+PAE) and those without (ADHD-PAE) using neurobehavioral instruments alongside magnetic resonance spectroscopy (MRS) and diffusion tensor imaging (DTI) of supraventricular brain white matter. Neurobehavioral, MRS, and DTI endpoints had been suggested by prior findings. Participants included children aged 8-13 years, 23 with ADHD+PAE, 19 with familial ADHD-PAE, and 28 typically developing (TD) controls. With area-under-the-curve (AUC) >0.90, the Conners 3 Parent Rating Scale Inattention (CIn) and Hyperactivity/Impulsivity (CHp) scores and the Behavioral Regulation Index (BRI) of the Behavior Rating Inventory of Executive Function (BRIEF2) excellently distinguished the clinical groups from TD, but not from each other (AUC < 0.70). Combinations of MRS glutamate (Glu) and N-acetyl-compounds (NAA) and DTI mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), and fractional anisotropy (FA) yielded "good" (AUC > 0.80) discrimination. Neuroimaging combined with CIn and BRI achieved AUC 0.72 and AUC 0.84, respectively. But neuroimaging combined with CHp yielded 14 excellent combinations with AUC ≥ 0.90 (all p < 0.0005), the best being Glu·AD·RD·CHp/(NAA·FA) (AUC 0.92, sensitivity 1.00, specificity 0.82, p < 0.0005). Using Cho in lieu of Glu yielded AUC 0.83. White-matter microstructure and metabolism may assist efforts to discriminate ADHD etiologies and to detect PAE, beyond the ability of commonly used neurobehavioral measures alone.

Profiling Carbohydrate Metabolism in Liver and Hepatocellular Carcinoma with [13C]-Glycerate Probes.

The interplay between glycolysis and gluconeogenesis is central to carbohydrate metabolism. Here, we describe novel methods to assess carbohydrate metabolism using [13C]-probes derived from glycerate, a molecule whose metabolic fate in mammals remains underexplored. Isotope-based studies were conducted via NMR and mass spectrometry analyses of freeze-clamped liver tissue extracts after [2,3-13C2]glycerate infusion. The ex vivo investigations were correlated with in vivo measurements using hyperpolarized [1-13C]glycerate. Application of [13C]glycerate to N-nitrosodiethylamine (DEN)-treated rats provided further assessments of intermediary carbohydrate metabolism in hepatocellular carcinoma. This method afforded direct analyses of control versus DEN tissues, and altered ratios of 13C metabolic products as well as unique glycolysis intermediates were observed in the DEN liver/tumor. Isotopomer studies showed increased glycerate uptake and altered carbohydrate metabolism in the DEN rats.

Sex-Specific Life Course Changes in the Neuro-Metabolic Phenotype of Glut3 Null Heterozygous Mice: Ketogenic Diet Ameliorates Electroencephalographic Seizures and Improves Sociability.

We tested the hypothesis that exposure of glut3+/- mice to a ketogenic diet ameliorates autism-like features, which include aberrant behavior and electrographic seizures. We first investigated the life course sex-specific changes in basal plasma-cerebrospinal fluid (CSF)-brain metabolic profile, brain glucose transport/uptake, glucose and monocarboxylate transporter proteins, and adenosine triphosphate (ATP) in the presence or absence of systemic insulin administration. Glut3+/- male but not female mice (5 months of age) displayed reduced CSF glucose/lactate concentrations with no change in brain Glut1, Mct2, glucose uptake or ATP. Exogenous insulin-induced hypoglycemia increased brain glucose uptake in glut3+/- males alone. Higher plasma-CSF ketones (ß-hydroxybutyrate) and lower brain Glut3 in females vs males proved protective in the former while enhancing vulnerability in the latter. As a consequence, increased synaptic proteins (neuroligin4 and SAPAP1) with spontaneous excitatory postsynaptic activity subsequently reduced hippocampal glucose content and increased brain amyloid ß1-40 deposition in an age-dependent manner in glut3+/- males but not females (4 to 24 months of age). We then explored the protective effect of a ketogenic diet on ultrasonic vocalization, sociability, spatial learning and memory, and electroencephalogram seizures in male mice (7 days to 6 to 8 months of age) alone. A ketogenic diet partially restored sociability without affecting perturbed vocalization, spatial learning and memory, and reduced seizure events. We conclude that (1) sex-specific and age-dependent perturbations underlie the phenotype of glut3+/- mice, and (2) a ketogenic diet ameliorates seizures caused by increased cortical excitation and improves sociability, but fails to rescue vocalization and cognitive deficits in glut3+/- male mice.

Clinical proton MR spectroscopy in central nervous system disorders.

A large body of published work shows that proton (hydrogen 1 [(1)H]) magnetic resonance (MR) spectroscopy has evolved from a research tool into a clinical neuroimaging modality. Herein, the authors present a summary of brain disorders in which MR spectroscopy has an impact on patient management, together with a critical consideration of common data acquisition and processing procedures. The article documents the impact of (1)H MR spectroscopy in the clinical evaluation of disorders of the central nervous system. The clinical usefulness of (1)H MR spectroscopy has been established for brain neoplasms, neonatal and pediatric disorders (hypoxia-ischemia, inherited metabolic diseases, and traumatic brain injury), demyelinating disorders, and infectious brain lesions. The growing list of disorders for which (1)H MR spectroscopy may contribute to patient management extends to neurodegenerative diseases, epilepsy, and stroke. To facilitate expanded clinical acceptance and standardization of MR spectroscopy methodology, guidelines are provided for data acquisition and analysis, quality assessment, and interpretation. Finally, the authors offer recommendations to expedite the use of robust MR spectroscopy methodology in the clinical setting, including incorporation of technical advances on clinical units.

Ensemble segmentation for GBM brain tumors on MR images using confidence-based averaging.

PURPOSE: Ensemble segmentation methods combine the segmentation results of individual methods into a final one, with the goal of achieving greater robustness and accuracy. The goal of this study was to develop an ensemble segmentation framework for glioblastoma multiforme tumors on single-channel T1w postcontrast magnetic resonance images. METHODS: Three base methods were evaluated in the framework: fuzzy connectedness, GrowCut, and voxel classification using support vector machine. A confidence map averaging (CMA) method was used as the ensemble rule. RESULTS: The performance is evaluated on a comprehensive dataset of 46 cases including different tumor appearances. The accuracy of the segmentation result was evaluated using the F1-measure between the semiautomated segmentation result and the ground truth. CONCLUSIONS: The results showed that the CMA ensemble result statistically approximates the best segmentation result of all the base methods for each case.

Utility of multiparametric 3-T MRI for glioma characterization.

INTRODUCTION: Accurate grading of cerebral glioma using conventional structural imaging techniques remains challenging due to the relatively poor sensitivity and specificity of these methods. The purpose of this study was to evaluate the relative sensitivity and specificity of structural magnetic resonance imaging and MR measurements of perfusion, diffusion, and whole-brain spectroscopic parameters for glioma grading. METHODS: Fifty-six patients with radiologically suspected untreated glioma were studied with T1- and T2-weighted MR imaging, dynamic contrast-enhanced MR imaging, diffusion tensor imaging, and volumetric whole-brain MR spectroscopic imaging. Receiver-operating characteristic analysis was performed using the relative cerebral blood volume (rCBV), apparent diffusion coefficient, fractional anisotropy, and multiple spectroscopic parameters to determine optimum thresholds for tumor grading and to obtain the sensitivity, specificity, and positive and negative predictive values for identifying high-grade gliomas. Logistic regression was performed to analyze all the parameters together. RESULTS: The rCBV individually classified glioma as low and high grade with a sensitivity and specificity of 100 and 88 %, respectively, based on a threshold value of 3.34. On combining all parameters under consideration, the classification was achieved with 2 % error and sensitivity and specificity of 100 and 96 %, respectively. CONCLUSION: Individually, CBV measurement provides the greatest diagnostic performance for predicting glioma grade; however, the most accurate classification can be achieved by combining all of the imaging parameters.

Characteristics of patients with target magnetic resonance mismatch profile: data from two geographically and racially distinct populations.

BACKGROUND: Recently, the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution (DEFUSE) and the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET) trialists suggested that diffusion-perfusion magnetic resonance imaging (MRI) can classify patients into 4 subgroups likely to differentially experience benefit or harm from reperfusion therapies. However, there is a lack of data comparing MR mismatch profiles between different race-ethnic groups. In addition, clinical factors affecting MR mismatch profiles are not well described. METHODS: We analyzed clinical and pretreatment MRI data of patients from 2 geographically and ethnically distinct study populations (Seoul, South Korea, and Los Angeles, Calif., USA) who are eligible for recanalization therapy. Diffusion-perfusion mismatch regions were classified among the 4 DEFUSE MR profiles: target mismatch, no mismatch, small lesion and malignant. RESULTS: A total of 147 South Korean and 162 Southern Californian subjects (64.2% Whites) were included. Pretreatment MRIs revealed that the MR mismatch profiles were different in the 2 study populations (p < 0.001). Target mismatch was more prevalent in Southern Californian subjects (67.9%) compared with South Korean subjects (58.5%), whereas the small lesion pattern was more prevalent in the latter (9.9 vs. 23.1%). After adjusting for covariables, 3 features independently decreased the likelihood of presence of target mismatch: history of diabetes (OR 0.369, 95% CI 0.196-0.694), small versus large arterial occlusion (OR 0.052, 95% CI 0.01-0.255) and largest size (highest tertile) of diffusion-weighted imaging (DWI) lesion volume (OR 0.516, 95% CI 0.266-0.999). The one feature independently increasing target mismatch likelihood was intermediate size (middle tertile) DWI volume (OR 2.977, 95% CI 1.431-6.195). CONCLUSIONS: Target mismatch profiles are present in 55-70% of patients. Target mismatch is less common in patients with diabetes, small vessel occlusion, Asian ethnicity and extensive DWI lesions, and more common in patients with DWI lesions of intermediate size.

Patterns and predictors of blood-brain barrier permeability derangements in acute ischemic stroke.

BACKGROUND AND PURPOSE: MRI permeability imaging is a promising approach to identify patients with acute ischemic stroke with an increased propensity for hemorrhagic transformation (HT). Permeability imaging provides direct visualization of blood-brain barrier derangements in ischemic fields. METHODS: We retrospectively analyzed clinical and MRI data on patients with acute cerebral ischemia within the middle cerebral artery territory to identify the frequency, patterns, and predictors of permeability derangements and their association with HT types. RESULTS: A total of 179 permeability scans was obtained in 127 patients (59 men; mean age, 66.8 years). Among 179 image sets (82 pre-/no treatment and 97 posttreatment), permeability derangements were present in 29 images, frequently at the basal ganglia (n=23) and rarely at the juxta-cortical area (n=6). After adjusting for covariates, diastolic pressure (OR, 1.12, per 1-mm Hg increase; 95% CI, 1.02 to 1.22) and s-glucose (OR, 1.04, per 1-mg/dL increase; 95% CI, 1.01 to 1.07) were independently associated with pretreatment permeability derangements, whereas low-density lipoprotein cholesterol (OR, 0.97, per 1-mg/dL increase; 95% CI, 0.94 to 0.99), malignant MRI profile (OR, 24.84; 95% CI, 1.50 to 412.93), and time from onset to recanalization therapy (OR, 1.47, per 1-hour increase; 95% CI, 1.10 to 1.96) were independently associated with permeability derangements after recanalization therapy. Types of HT varied among the patients with permeability derangements (no HT, 4; hemorrhagic infarct type, 12; and parenchymal hematoma, 13) and transient derangements (without subsequent HT) and normalization of derangements (in the presence of HT) on permeability images was observed in several cases. CONCLUSIONS: Permeability derangements, a dynamic process associated with ischemic stroke pathophysiology and recanalization therapy, vary in pattern and evolution toward HT. Several prognostic and therapeutic predictors for HT are independently associated with pre- and posttreatment permeability derangements.

Predictors of cerebral microbleeds in acute ischemic stroke and TIA patients.

BACKGROUND: Cerebral microbleeds (CMB) detected on gradient-echo T2*-weighted MRI have been associated with cognitive impairment and the potential for increased risk of intracranial hemorrhage. We evaluated risk factors for these microangiopathic lesions in a cohort of stroke and transient ischemic attack patients. METHODS: Presence and number of CMB in consecutive acute stroke patients admitted to a university hospital stroke service over an 18-month period were rated. Multivariate models were generated to determine the contribution of 21 demographic and clinical variables to the frequency and number of CMB. RESULTS: Of 164 patients (mean age 71 years, 52% female), 57 (35%) had CMB evident on gradient-echo T2*-weighted MRI. CMB were more commonly noted among patients with small vessel disease ischemic stroke mechanism (47%) than large vessel atherothromboembolic (12%) or cardioembolic (18%, p = 0.0001). In univariate analysis, patients with CMB were older, (p = 0.008), more likely to have been on >1 antihypertensive prior to admission (p = 0.024) than those without CMB. In multivariate logistic regression analyses, presumed small vessel stroke subtype, history of atrial fibrillation, being on >1 antihypertensive prior to admission, and smoking were independent factors increasing the risk of CMB. Logistic regression analysis by number of CMB showed almost similar findings. CONCLUSIONS: CMB are more frequently noted in hospitalized stroke and transient ischemic attack patients with small vessel ischemia, as well as those with important modifiable vascular risk factors like atrial fibrillation and smoking.

MRI measurement of the uptake and retention of motexafin gadolinium in glioblastoma multiforme and uninvolved normal human brain.

PURPOSE: Motexafin gadolinium (MGd) is an investigational pharmaceutical with radiation enhancing properties. Magnetic Resonance Imaging (MRI) was used to measure brain and tumor MGd levels to evaluate (1) the degree to which MGd passes through the intact blood brain barrier, and (2) the retention of MGd in tumor in patients with glioblastoma multiforme (GBM). METHODS AND MATERIALS: MRI studies were performed on GBM patients who participated in a phase I clinical trial in which MGd was given during standard fractionated radiation therapy. MGd was administered daily (Monday to Friday) for five or 10 doses as a loading regimen, followed by three times per week dosing as a maintenance schedule. T1-weighted MRI was performed at intervals throughout the course of the MGd administration and radiation therapy in the 33 participating patients. Eleven patients had pre- and post-MGd scans, allowing for study of MGd's normal blood brain barrier penetration. Twenty-two patients had adequate residual tumor for measurements to evaluate MGd retention in tumor during the course of MGd and radiation administration. RESULTS AND CONCLUSIONS: The studies of uninvolved brain tissue support the conclusion that MGd does not cross the intact blood brain barrier in detectable quantities. The tumor study showed MGd uptake during loading and maintenance without measurably significant fall off on non-dosage days during the maintenance dosing. Although the number of cases is small, the 10-day loading regimen showed greater drug loading and retention compared with the 5 days loading regimen.

Novel methodology for the archiving and interactive reading of clinical magnetic resonance spectroscopic imaging.

Archiving clinical magnetic resonance spectroscopic imaging (MRSI) data and presenting the data to specialists (e.g., neuroradiologists, neurosurgeons, neurologists, neuro-oncologists, and MR scientists) who work in different physical locations is a practical problem of significance. This communication describes a novel solution. The study hypothesis was that it is possible to use widely available distributed computing techniques to create a clinical MRSI user interface addressable from any personal computer with a suitable network connection. A worldwide web MRSI archive and interface system was created that permits the user to interactively view individual MRSI voxel spectra with correlation to MR images and to parametric spectroscopic images. Web browser software (i.e., Netscape and Internet Explorer) permits users in various physical locations to access centrally archived MRSI data using a variety of operating systems and client workstations. The system was used for archiving and displaying more than 1000 clinical MRSI studies performed at the authors' institution. The system also permits MRSI data to be viewed via the Internet from distant locations worldwide. The study illustrates that widely available software operating within highly distributed electronic networks can be used for archiving and interactive reading of large amounts of clinical MRSI data.