The Role of Cell Cycle Mediators in the Progression of Non-alcoholic Steatohepatitis in Male and Female Murine Models

Hepatocellular carcinoma (HCC) is the most prevalent primary cancer of the liver and one of the leading causes of cancer-related deaths worldwide. There are a multitude of risk factors that contribute to the development of HCC including viral infection, obesity, alcoholism, as well as non-alcoholic steatohepatitis (NASH). In the case of these chronic diseases and repeated injury, the liver continuously repairs itself to maintain its structural integrity, resulting in fibrosis, and in more serious cases, cirrhosis– major risk factors in the development of HCC. Men are 3-5x more likely to develop liver cancer than women; however, the exact mechanism for this remains undetermined. Previous work in our lab using a transgenic mouse model overexpressing the cyclin-like protein Spy1 showed an increased incidence of HCC and decrease in rates of fibrosis, suggesting a link between cell cycle regulation and progression to HCC. Spy1 binds and activates CDKs at the G1-S and G2-M checkpoints, leading to cell cycle progression independent of cyclin-based regulation. Using a methionine-choline deficient diet to induce NASH, the role of various cell cycle mediators will be investigated to uncover the link between cell cycle regulation and NASH disease progression. In addition, differences between female and male mouse responses to the diet with respect to cell cycle regulation will be analyzed. A better understanding of the relationship between cell cycle regulation and NASH disease progression in both female and male mouse models will help identify novel diagnostic markers and pathways of therapeutic importance in HCC

Spy1 Levels Predict Sensitivity of Refractory Multiple Myeloma to Therapy

Multiple myeloma (MM) is an aggressive hematopoietic malignancy with a poor prognosis that is caused by the abnormal growth of plasma cells in the bone marrow. Cyclin-dependent kinase inhibitors (CKIs) have been explored as a possible treatment for MM, with limited clinical success. We postulate that the cyclin-like protein, Spy1 (SPDYA), which is capable of overriding cell-cycle checkpoints, may play a role in limiting therapeutic effectiveness. To support this hypothesis, we have found that Spy1 is highly expressed in MM patient samples and human cell lines. We aim to explore the role that Spy1 plays in CKI resistance in MM using a variety of in vitro and in vivo techniques. Firstly, we intend to create and optimize an in vitro platform to study MM using patient samples collected from clinicians at Windsor Regional Hospital. Using this culture, and human cell lines, we intend to investigate the methylation status of Spy1 and other MM genes in Spy1 overexpression and knockout conditions to see the effects of epigenetic regulation. Then, we will perform drug and toxicity assays with standard CKIs using our Spy1 overexpression and knock-down lines to observe response to CKIs, expecting lines with higher Spy1 to demonstrate increased therapy resistance. Finally, our cells with manipulated Spy1 levels will be injected into zebrafish to test the effects of CKIs in vivo. Collectively, we aim to explore the role Spy1 may play in resistance to CKI therapy in MM, to improve disease understanding and identify areas treatments may be improved

Calibration of myocardial T2 and T1 against iron concentration.

BACKGROUND: The assessment of myocardial iron using T2* cardiovascular magnetic resonance (CMR) has been validated and calibrated, and is in clinical use. However, there is very limited data assessing the relaxation parameters T1 and T2 for measurement of human myocardial iron. METHODS: Twelve hearts were examined from transfusion-dependent patients: 11 with end-stage heart failure, either following death (n=7) or cardiac transplantation (n=4), and 1 heart from a patient who died from a stroke with no cardiac iron loading. Ex-vivo R1 and R2 measurements (R1=1/T1 and R2=1/T2) at 1.5 Tesla were compared with myocardial iron concentration measured using inductively coupled plasma atomic emission spectroscopy. RESULTS: From a single myocardial slice in formalin which was repeatedly examined, a modest decrease in T2 was observed with time, from mean (± SD) 23.7 ± 0.93 ms at baseline (13 days after death and formalin fixation) to 18.5 ± 1.41 ms at day 566 (p<0.001). Raw T2 values were therefore adjusted to correct for this fall over time. Myocardial R2 was correlated with iron concentration [Fe] (R2 0.566, p<0.001), but the correlation was stronger between LnR2 and Ln[Fe] (R2 0.790, p<0.001). The relation was [Fe] = 5081•(T2)-2.22 between T2 (ms) and myocardial iron (mg/g dry weight). Analysis of T1 proved challenging with a dichotomous distribution of T1, with very short T1 (mean 72.3 ± 25.8 ms) that was independent of iron concentration in all hearts stored in formalin for greater than 12 months. In the remaining hearts stored for <10 weeks prior to scanning, LnR1 and iron concentration were correlated but with marked scatter (R2 0.517, p<0.001). A linear relationship was present between T1 and T2 in the hearts stored for a short period (R2 0.657, p<0.001). CONCLUSION: Myocardial T2 correlates well with myocardial iron concentration, which raises the possibility that T2 may provide additive information to T2* for patients with myocardial siderosis. However, ex-vivo T1 measurements are less reliable due to the severe chemical effects of formalin on T1 shortening, and therefore T1 calibration may only be practical from in-vivo human studies

Use of imaging biomarkers to assess perfusion and glucose metabolism in the skeletal muscle of dystrophic mice

<p>Abstract</p> <p>Background</p> <p>Duchenne muscular dystrophy (DMD) is a severe neuromuscular disease that affects 1 in 3500 boys. The disease is characterized by progressive muscle degeneration that results from mutations in or loss of the cytoskeletal protein, dystrophin, from the glycoprotein membrane complex, thus increasing the susceptibility of contractile muscle to injury. To date, disease progression is typically assessed using invasive techniques such as muscle biopsies, and while there are recent reports of the use of magnetic resonance, ultrasound and optical imaging technologies to address the issue of disease progression and monitoring therapeutic intervention in dystrophic mice, our study aims to validate the use of imaging biomarkers (muscle perfusion and metabolism) in a longitudinal assessment of skeletal muscle degeneration/regeneration in two murine models of muscular dystrophy.</p> <p>Methods</p> <p>Wild-type (w.t.) and dystrophic mice (weakly-affected mdx mice that are characterized by a point mutation in dystrophin; severely-affected mdx:utrn-/- (udx) mice that lack functional dystrophin and are null for utrophin) were exercised three times a week for 30 minutes. To follow the progression of DMD, accumulation of ¹⁸F-FDG, a measure of glucose metabolism, in both wild-type and affected mice was measured with a small animal PET scanner (GE eXplore Vista). To assess changes in blood flow and blood volume in the hind limb skeletal muscle, mice were injected intravenously with a CT contrast agent, and imaged with a small animal CT scanner (GE eXplore Ultra).</p> <p>Results</p> <p>In hind limb skeletal muscle of both weakly-affected mdx mice and in severely-affected udx mice, we demonstrate an early, transient increase in both ¹⁸F-FDG uptake, and in blood flow and blood volume. Histological analysis of H&E-stained tissue collected from parallel littermates demonstrates the presence of both inflammatory infiltrate and centrally-located nuclei, a classic hallmark of myofibrillar regeneration. In both groups of affected mice, the early transient response was succeeded by a progressive decline in muscle perfusion and metabolism; this was also evidenced histologically.</p> <p>Conclusions</p> <p>The present study demonstrates the utility of non-invasive imaging biomarkers in characterizing muscle degeneration/regeneration in murine models of DMD. These techniques may now provide a promising alternative for assessing both disease progression and the efficacy of new therapeutic treatments in patients.</p

Pion interferometry in Au+Au collisions at sqrt[sNN]=200GeV

We present a systematic analysis of two-pion interferometry in Au+Au collisions at sqrt[sNN]=200GeV using the STAR detector at Relativistic Heavy Ion Collider. We extract the Hanbury-Brown and Twiss radii and study their multiplicity, transverse momentum, and azimuthal angle dependence. The Gaussianness of the correlation function is studied. Estimates of the geometrical and dynamical structure of the freeze-out source are extracted by fits with blast-wave parametrizations. The expansion of the source and its relation with the initial energy density distribution is studied

Genetic Susceptibility on CagA-Interacting Molecules and Gene-Environment Interaction with Phytoestrogens: A Putative Risk Factor for Gastric Cancer

OBJECTIVES: To evaluate whether genes that encode CagA-interacting molecules (SRC, PTPN11, CRK, CRKL, CSK, c-MET and GRB2) are associated with gastric cancer risk and whether an interaction between these genes and phytoestrogens modify gastric cancer risk. METHODS: In the discovery phase, 137 candidate SNPs in seven genes were analyzed in 76 incident gastric cancer cases and 322 matched controls from the Korean Multi-Center Cancer Cohort. Five significant SNPs in three genes (SRC, c-MET and CRK) were re-evaluated in 386 cases and 348 controls in the extension phase. Odds ratios (ORs) for gastric cancer risk were estimated adjusted for age, smoking, H. pylori seropositivity and CagA strain positivity. Summarized ORs in the total study population (462 cases and 670 controls) were presented using pooled- and meta-analysis. Plasma concentrations of phytoestrogens (genistein, daidzein, equol and enterolactone) were measured using the time-resolved fluoroimmunoassay. RESULTS: SRC rs6122566, rs6124914, c-MET rs41739, and CRK rs7208768 showed significant genetic effects for gastric cancer in both the pooled and meta-analysis without heterogeneity (pooled OR = 3.96 [95% CI 2.05-7.65], 1.24 [95% CI = 1.01-1.53], 1.19 [95% CI = 1.01-1.41], and 1.37 [95% CI = 1.15-1.62], respectively; meta OR = 4.59 [95% CI 2.74-7.70], 1.36 [95% CI = 1.09-1.70], 1.20 [95% CI = 1.00-1.44], and 1.32 [95% CI = 1.10-1.57], respectively). Risk allele of CRK rs7208768 had a significantly increased risk for gastric cancer at low phytoestrogen levels (p interaction<0.05). CONCLUSIONS: Our findings suggest that SRC, c-MET and CRK play a key role in gastric carcinogenesis by modulating CagA signal transductions and interaction between CRK gene and phytoestrogens modify gastric cancer risk

Particle identification in ALICE : a Bayesian approach

Peer reviewe

Flow Dominance and Factorization of Transverse Momentum Correlations in Pb-Pb Collisions at the LHC

We present the first measurement of the two-particle transverse momentum differential correlation function, P2≡ ΔpTΔpT/ pT2, in Pb-Pb collisions at sNN=2.76 TeV. Results for P2 are reported as a function of the relative pseudorapidity (Δη) and azimuthal angle (Δφ) between two particles for different collision centralities. The Δφ dependence is found to be largely independent of Δη for |Δη|≥0.9. In the 5% most central Pb-Pb collisions, the two-particle transverse momentum correlation function exhibits a clear double-hump structure around Δφ=π (i.e., on the away side), which is not observed in number correlations in the same centrality range, and thus provides an indication of the dominance of triangular flow in this collision centrality. Fourier decompositions of P2, studied as a function of the collision centrality, show that correlations at |Δη|≥0.9 can be well reproduced by a flow ansatz based on the notion that measured transverse momentum correlations are strictly determined by the collective motion of the system

K*(892)(0) and phi(1020)meson production at high transverse momentum in pp and Pb-Pb collisions at root sNN=2.76 TeV

The production of K∗(892)0 and φ(1020) mesons in proton-proton (pp) and lead-lead (Pb-Pb) collisions at √sNN = 2.76 TeV has been analyzed using a high luminosity data sample accumulated in 2011 with the ALICE detector at the Large Hadron Collider (LHC). Transverse momentum (pT) spectra have been measured for K∗(892)0 and φ(1020) mesons via their hadronic decay channels for pT up to 20 GeV/c. The measurements in pp collisions have been compared to model calculations and used to determine the nuclear modification factor and particle ratios. The K∗(892)0/K ratio exhibits significant reduction from pp to central Pb-Pb collisions, consistent with the suppression of the K∗(892)0 yield at low pT due to rescattering of its decay products in the hadronic phase. In central Pb-Pb collisions the pT dependent φ(1020)/π and K∗(892)0/π ratios show an enhancement over pp collisions for pT ≈ 3 GeV/c, consistent with previous observations of strong radial flow. At high pT, particle ratios in Pb-Pb collisions are similar to those measured in pp collisions. In central Pb-Pb collisions, the production of K∗(892)0 and φ(1020) mesons is suppressed for pT &gt; 8 GeV/c. This suppression is similar to that of charged pions, kaons, and protons, indicating that the suppression does not depend on particle mass or flavor in the light quark sector

The Role of Spy1 During Mammary Involution

One in eight women will be diagnosed with breast cancer in her lifetime. From puberty to menopause, risk of breast cancer fluctuates with the natural development of the breasts. A period of increased breast cancer risk, metastatic potential, and mortality occurs following childbirth. Recent preliminary research suggests the propensity of postpartum breast cancer (PPBC) is enabled by the natural process of involution: when the mammary gland reverts to non-lactating tissue by balancing high rates of cell death regeneration via stem cells. This death and regeneration are controlled by the cell cycle; a particular cell cycle regulator, the atypical protein Spy1, is capable of enabling cell proliferation, protecting stem cells, and overriding cell death. Spy1 levels have been found to be elevated in all forms of breast cancers. Interestingly, levels of Spy1 are similarly elevated during involution. We hypothesize that Spy1 protects the stem cell population necessary for normal mammary gland reconstitution post involution. This project aims to establish Spy1 manipulated involution models by mimicking pregnancy-lactation-involution hormonal cues in vitro and investigate how Spy1 affects mammary gland changes during involution in vivo to determine the effect of Spy1 on mammary stem cells during involution. Understanding Spy1-involution dynamics may reveal how its alterations may potentially lead to aggressive PPBC – beginning the characterisation of this unique subtype and highlighting Spy1 as a target for screening, diagnostic, and treatment. Increasing the scope of postpartum maternal care to include breast cancer perspectives is crucial for improving the care and outcome of PPBC patients