Computed tomographic angiography measures of coronary plaque in clinical trials: opportunities and considerations to accelerate drug translation.

Atherosclerotic coronary artery disease (CAD) is the causal pathological process driving most major adverse cardiovascular events (MACE) worldwide. The complex development of atherosclerosis manifests as intimal plaque which occurs in the presence or absence of traditional risk factors. There are numerous effective medications for modifying CAD but new pharmacologic therapies require increasingly large and expensive cardiovascular outcome trials to assess their potential impact on MACE and to obtain regulatory approval. For many disease areas, nearly a half of drugs are approved by the U.S. Food & Drug Administration based on beneficial effects on surrogate endpoints. For cardiovascular disease, only low-density lipoprotein cholesterol and blood pressure are approved as surrogates for cardiovascular disease. Valid surrogates of CAD are urgently needed to facilitate robust evaluation of novel, beneficial treatments and inspire investment. Fortunately, advances in non-invasive imaging offer new opportunity for accelerating CAD drug development. Coronary computed tomography angiography (CCTA) is the most advanced candidate, with the ability to measure accurately and reproducibly characterize the underlying causal disease itself. Indeed, favourable changes in plaque burden have been shown to be associated with improved outcomes, and CCTA may have a unique role as an effective surrogate endpoint for therapies that are designed to improve CAD outcomes. CCTA also has the potential to de-risk clinical endpoint-based trials both financially and by enrichment of participants at higher likelihood of MACE. Furthermore, total non-calcified, and high-risk plaque volume, and their change over time, provide a causally linked measure of coronary artery disease which is inextricably linked to MACE, and represents a robust surrogate imaging biomarker with potential to be endorsed by regulatory authorities. Global consensus on specific imaging endpoints and protocols for optimal clinical trial design is essential as we work towards a rigorous, sustainable and staged pathway for new CAD therapies.

Increased hippocampal tail volume predicts depression status and remission to anti-depressant medications in major depression.

Studies of patients with major depressive disorder (MDD) have consistently reported reduced hippocampal volumes; however, the exact pattern of these volume changes in specific anatomical subfields and their functional significance is unclear. We sought to clarify the relationship between hippocampal tail volumes and (i) a diagnosis of MDD, and (ii) clinical remission to anti-depressant medications (ADMs). Outpatients with nonpsychotic MDD (n=202) based on DSM-IV criteria and a 17-item Hamilton Rating Scale for Depression (HRSD17) score ⩾16 underwent pretreatment magnetic resonance imaging as part of the international Study to Predict Optimized Treatment for Depression (iSPOT-D). Gender-matched healthy controls (n=68) also underwent MRI scanning. An automated pipeline was used to objectively measure hippocampal subfield and whole brain volumes. Remission was defined as an HRSD17 of ⩽7 following 8 weeks of randomized open-label treatment ADMs: escitalopram, sertraline or venlafaxine-extended release. After controlling for age and total brain volume, hippocampal tail volume was larger in the MDD cohort compared to control subjects. Larger hippocampal tail volume was positively related to clinical remission, independent of total hippocampal volume, total brain volume and age. These data provide convergent evidence of the importance of the hippocampus in the development or treatment of MDD. Hippocampal tail volume is proposed as a potentially useful biomarker of sensitivity to ADM treatment.

Neural network imaging to characterize brain injury in cardiac procedures: the emerging utility of connectomics.

Cognitive dysfunction is a poorly understood but potentially devastating complication of cardiac surgery. Clinically meaningful assessment of cognitive changes after surgery is problematic because of the absence of a means to obtain reproducible, objective, and quantitative measures of the neural disturbances that cause altered brain function. By using both structural and functional connectivity magnetic resonance imaging data to construct a map of the inter-regional connections within the brain, connectomics has the potential to increase the specificity and sensitivity of perioperative neurological assessment, permitting rational individualized assessment and improvement of surgical techniques.

Flow mixing during peripheral veno-arterial extra corporeal membrane oxygenation - A simulation study.

Peripheral veno-arterial extra-corporeal membrane oxygenation (ECMO) is an artificial circulation that supports patients with severe cardiac and respiratory failure. Differential hypoxia during ECMO support has been reported, and it has been suggested that it is due to the mixing of well-perfused retrograde ECMO flow and poorly-perfused antegrade left ventricle (LV) flow in the aorta. This study aims to quantify the relationship between ECMO support level and location of the mixing zone (MZ) of the ECMO and LV flows. Steady-state and transient computational fluid dynamics (CFD) simulations were performed using a patient-specific geometrical model of the aorta. A range of ECMO support levels (from 5% to 95% of total cardiac output) were evaluated. For ECMO support levels above 70%, the MZ was located in the aortic arch, resulting in perfusion of the arch branches with poorly perfused LV flow. The MZ location was stable over the cardiac cycle for high ECMO flows (>70%), but moved 5cm between systole and diastole for ECMO support level of 60%. This CFD approach has potential to improve individual patient care and ECMO design.

Altered gray matter organization in children and adolescents with ADHD: a structural covariance connectome study.

Although multiple studies have reported structural deficits in multiple brain regions in attention-deficit hyperactivity disorder (ADHD), we do not yet know if these deficits reflect a more systematic disruption to the anatomical organization of large-scale brain networks. Here we used a graph theoretical approach to quantify anatomical organization in children and adolescents with ADHD. We generated anatomical networks based on covariance of gray matter volumes from 92 regions across the brain in children and adolescents with ADHD (n=34) and age- and sex-matched healthy controls (n=28). Using graph theory, we computed metrics that characterize both the global organization of anatomical networks (interconnectivity (clustering), integration (path length) and balance of global integration and localized segregation (small-worldness)) and their local nodal measures (participation (degree) and interaction (betweenness) within a network). Relative to Controls, ADHD participants exhibited altered global organization reflected in more clustering or network segregation. Locally, nodal degree and betweenness were increased in the subcortical amygdalae in ADHD, but reduced in cortical nodes in the anterior cingulate, posterior cingulate, mid temporal pole and rolandic operculum. In ADHD, anatomical networks were disrupted and reflected an emphasis on subcortical local connections centered around the amygdala, at the expense of cortical organization. Brains of children and adolescents with ADHD may be anatomically configured to respond impulsively to the automatic significance of stimulus input without having the neural organization to regulate and inhibit these responses. These findings provide a novel addition to our current understanding of the ADHD connectome.

Prevalence, distribution and clinical correlates of myocardial fibrosis in systemic lupus erythematosus: a cardiac magnetic resonance study.

OBJECTIVES: To assess the prevalence, distribution and clinical correlates of myocardial fibrosis, as detected by cardiac magnetic resonance (CMR), in systemic lupus erythematosus (SLE). METHODS: Forty-one subjects (average age 39 ± 12 years and 80% female) with SLE underwent CMR imaging at 1.5T, using late gadolinium enhancement (LGE) to quantify the area of myocardial fibrosis in the left ventricle (LV). Subjects also underwent transthoracic echocardiography (TTE) and exercise testing. RESULTS: LGE was detected in 15/41 subjects, 11 with localized LGE (<15% LV mass) and four with extensive LGE (>15% LV mass). The commonest site of LGE was the interventricular septum, with all but one case demonstrating an intramural or inflammatory pattern. The mean age of the >15% LGE group (55 ± 15 years) was significantly higher than the <15% or absent LGE subgroups. Based on both CMR and TTE measurements, subjects with LGE > 15% demonstrated a reduced E/A ratio of 0.9 ± 0.4 relative to the <15% and absent LGE subgroups. LV end-systolic volume (ESVi), end-diastolic volume (EDVi) and maximum exercise capacity were also reduced in the >15% LGE group. CONCLUSIONS: Mid-wall myocardial fibrosis occurs frequently in SLE and is strongly associated with advancing subject age, but not with SLE duration or severity. Extensive LGE may be associated with diastolic dysfunction and impaired exercise capacity, although this may be an epiphenomenon of age. Cardiac magnetic resonance with quantitative assessment of LGE may provide a basis for cardiac risk stratification in SLE.

Investigation of MCPH1 G37995C and ASPM A44871G polymorphisms and brain size in a healthy cohort.

Loss-of-function mutations in MCPH1 and ASPM are responsible for some cases of autosomal recessive primary microcephaly. Recent studies have indicated that certain common variants of these genes have been positively selected for during the evolution of modern humans. It is therefore possible that these variants may predispose to an increase in brain size in the normal human population. We genotyped the MCPH1 G37995C and ASPM A44871G polymorphisms in a cohort of 118 healthy people who had undergone structural magnetic resonance imaging analysis. We did not detect significant association of either MCPH1 G37995C or ASPM A44871G genotype with whole brain volume, cerebral cortical volume or proportion of grey matter in this cohort. Nor did we detect an association of combined MCPH1 37995C and ASPM 44871G allele dosage with these brain measurements. These results were also confirmed in an age-restricted subcohort of 94 individuals. This study suggests that phenotypes other than brain size may have been selected for in ASPM and MCPH1 variants during evolution of modern humans.

Cognitive aging, executive function, and fractional anisotropy: a diffusion tensor MR imaging study.

BACKGROUND AND PURPOSE: Fractional anisotropy (FA) is a useful measure of connectivity in the brain that can be derived from the diffusion tensor imaging (DTI) dataset. This study investigated the relationship between FA and selected measures of cognition across a broad age group to explore a possible structural basis for cognitive changes with age. METHODS: FA images were generated from DTI data acquired at 1.5T in 87 healthy subjects (age range, 20-73 years). Relationships between a range of cognitive measures and FA were explored using regional and voxel-based analysis. RESULTS: Age and regional average FA were significantly associated in the frontal, parietal, and temporal lobes but not in the occipital lobe. This negative relationship was especially prominent in the prefrontal regions of the frontal lobe, where FA declined at a rate of approximately 3% per decade. Decreased FA in the frontal, temporal, and parietal lobes was associated with poorer cognitive performance in executive maze and in an attention-switching task. A voxel-level analysis of these data revealed that the executive function-FA association was particularly strong and regionally delineated over 2 continuous, bilateral areas extending from the prefrontal cortex to the parietal lobe, with projections to the anterior portions of the thalamus. CONCLUSIONS: We demonstrate a relationship between FA and a measure of executive function-a core cognitive component that is a key feature of cognitive aging. We propose that that FA may provide an early means for the detection of age-related cognitive change and suggest a need for prospective data to explore this association.

Urinary albumin levels in the normal range determine arterial wall thickness in adults with Type 2 diabetes: a FIELD substudy.

AIM: Cardiovascular disease (CVD) rates are substantially higher among patients with Type 2 diabetes than in the general population. The objective of this study was to identify the determinants of carotid intima media thickness (IMT) in patients with Type 2 diabetes. METHODS: We measured the thickness of the intima media layer of the carotid artery, a strong predictor of the risk of future vascular events, in 397 Type 2 diabetic patients drawn from the Fenofibrate Intervention and Event Lowering in Diabetes study, prior to treatment allocation. RESULTS: The mean IMT was 0.78 mm [interquartile range (IQR) 0.23 mm], and the maximum IMT was 1.17 mm (IQR 0.36 mm). By multivariate analysis, age, sex, duration of diabetes, triglycerides, and total cholesterol were independently correlated with IMT, as was urine albumin-creatinine ratio (ACR) (P < 0.001). The effect of ACR on IMT was further examined by tertile. Clinically significant differences in IMT were associated with ACR > 0.65 mg/mmol, approximately one-fifth the standard clinical threshold for microalbuminuria (P < 0.01). Long-term diabetes, independent of other parameters, was associated with a 50% increase in age-related thickening. CONCLUSIONS: IMT in people with Type 2 diabetes is independently and continuously related to urine albumin levels and to the duration of diabetes. These results support previous data linking urine albumin measurements within the normal range with increased ischaemic cardiac mortality in the setting of Type 2 diabetes, and strongly suggest that urine albumin levels within this range should trigger a formal evaluation for CVD.

Differences in the BOLD fMRI response to direct and indirect cortical stimulation in the rat.

Functional MRI (fMRI) exploits a relationship between neuronal activity, metabolism, and cerebral blood flow to functionally map the brain. We have developed a model of direct cortical stimulation in the rat that can be combined with fMRI and used to compare the hemodynamic responses to direct and indirect cortical stimulation. Unilateral electrical stimulation of the rat hindpaw motor cortex, via stereotaxically positioned carbon-fiber electrodes, yielded blood oxygenation level-dependent (BOLD) fMRI signal changes in both the stimulated and homotypic contralateral motor cortices. The maximal signal intensity change in both cortices was similar (stimulated = 3.7 +/- 1.7%; contralateral = 3.2 +/- 1.0%), although the response duration in the directly stimulated cortex was significantly longer (48.1 +/- 5.7 sec vs. 19.0 +/- 5.3 sec). Activation of the contralateral cortex is likely to occur via stimulation of corticocortical pathways, as distinct from direct electrical stimulation, and the response profile is similar to that observed in remote (e.g., forepaw) stimulation fMRI studies. Differences in the neuronal pool activated, or neurovascular mediators released, may account for the more prolonged BOLD response observed in the directly stimulated cortex. This work demonstrates the combination of direct cortical stimulation in the rat with fMRI and thus extends the scope of rodent fMRI into brain regions inaccessible to peripheral stimulation techniques.

The effect of bulk susceptibility on murine snapshot imaging at 7.0 T: a comparison of snapshot imaging techniques.

The sensitivity of several single-shot imaging techniques to local field gradients (LFGs) generated by discontinuities in bulk magnetic susceptibility (BMS) were compared in mouse brain at 7.0 T. At high field, differences in BMS can cause substantial signal attenuation and image distortion. Because susceptibility effects scale with B(o), mouse brain single-shot imaging at high field is particularly susceptible to the effects of LFGs. The spin-echo techniques GRASE and RARE were found to have a decreased sensitivity to LFGs compared to echo-planar imaging (EPI). Images obtained using EPI and SE-EPI exhibit severe signal attenuation in regions of high LFGs such as near air-tissue interfaces and at the brain edges. In applications such as functional MRI and diffusion MRI, GRASE and RARE are likely to provide more comprehensive whole brain coverage in mouse brain at high field than EPI techniques, which are likely to image regions of the brain with strong LFGs with low signal to noise, reducing the probability of detecting significant physiologically based changes.

Multiple-quantum filtered 17Q and 23Na NMR analysis of mitochondrial suspensions.

The fraction of strongly- and weakly-bound water molecules within mitochondrial suspensions, determined using three-quantum filtered 17O NMR relaxation analysis, was found to be large in comparison with that in erythrocytes and concentrated solutions of bovine serum albumen. It is suggested that bound water, together with regulation of mitochondrial matrix volume, may be an important controlling factor in the modulation of enzymic activity in the matrix. A spin I = 5/2 Jeener-Broekaert experiment and a four-quantum filtration experiment were used to demonstrate the absence of orientationally ordered water molecules within the mitochondrion. In contrast, the mitochondrial sodium environment was shown to be highly ordered using a spin I = 3/2 Jeener-Broekaert experiment.

NMR triple-quantum filtered relaxation analysis of 17O-water in insulin solutions: an insight into the aggregation of insulin and the properties of its bound water.

Transverse triple-quantum filtered NMR spectroscopy (TTQF) of 17O-water was used to study the properties of water in insulin solutions at different Zn2+ concentrations and pH values. It was established that strongly bound water molecules are already present in Zn-free insulin. On the assumption that the effective correlation time of a strongly bound water molecule, tau sb, is 10 ns, the apparent number of strongly bound water molecules was approximately 3 to 4 per insulin monomer. Addition of Zn2+ equivalent to approximately 2 g-atoms per hexamer did not produce substantial increases in the overall 17O-water TTQF signal intensity and apparent fraction of bound water. The dramatic enhancement of the TTQF signals observed for samples with a Zn2+/hexamer ratio greater than approximately 2:1 could be attributed to the increase in correlation time of the strongly bound water, due to the formation of higher-order oligomers of the protein.

(17)O NMR of water in ordered environments.

Two NMR experiments are designed for selective excitation of spin I=5/2 nuclei that exhibit residual quadrupolar splittings. The I=5/2 Jeener-Broekaert experiment is preferred to the four-quantum filtration experiment as it is shown to be a more sensitive technique in experimental practice. Both techniques are applied to (17)O-enriched water in biological systems. The occurrence of water which displays a residual (17)O quadrupolar splitting is demonstrated for the first time in a model biological system and an excised tissue sample. The resulting (17)O NMR spectra are shown to have the characteristics predicted in computer-simulated I=5/2 NMR spectra.

Strong and weak binding of water to proteins studied by NMR triple-quantum filtered relaxation spectroscopy of (17)O-water.

The triple-quantum filtered (TQF) spin-echo signal of (17)O-water, in the presence of proteins, was analysed to yield estimates of the number of weakly, and strongly bound water molecules. The analysis used a constrained direct iterative regression procedure with a three-state model of fast-exchange. Thus, the population size of free, weakly, and strongly bound water were determined simultaneously. The two fractions of the bound water were estimated by using correlation time(s) estimated in other studies. Bovine serum albumin (BSA), basic pancreatic trypsin inhibitor (BPTI), lysozyme and oxyhaemoglobin were studied. Of the four proteins, BSA contained the largest number of strongly and weakly bound water molecules, there being approximately 30 of the former and approximately 3000 of the latter under conditions of high protein concentration. The correlation time of the proteins increases with their concentration in solution, and when this was taken into account for BSA the estimated number of strongly bound water molecules did not change significantly. This NMR technique, and data analysis, will probably also be useful in studies of water binding and mobility in various systems including hydrogels, protein networks, membranes, cells and tissues.