64 research outputs found
Adenylate Nucleotides and 2,3-Biphosphoglycerate Concentration in Erythrocytes of Growing Wielkopolska Stallions
The aim of this study was to examine the relationships between the concentrations of adenylate nucleotides (ATP, ADP, AMP), total nucleotide pool (TAN), adenylate energy charge (AEC) and 2,3-biphosphoglycerate (2,3-BPG) in the erythrocytes of young horses in the period of their rapid growth and development. The studies were conducted on 10 young Wielkopolska breed stallions for two years; Group A: 1-month-old, Group B: 3-month-old, Group C: 6-month-old, Group D: 1-year-old, and Group E: 2-year-old. ATP, ADP and AMP concentrations in the erythrocytes were determined by HPLC. 2,3-BPG was determined using the Calbiochem USA kit. We observed that erythrocyte ATP, ADP, AMP and TAN concentrations significantly decreased with age (p p < 0.05). A significant correlation was also found between ATP concentration and AEC values (except 12 month-old stallions). Moreover, an age-dependent negative correlation between ATP and 2,3-BPG (r = -0.81) was found. The conclusion is that the adenylate energy charge and erythrocyte 2,3-BPG variables in the Wielkopolska stallions mainly depend on age, thus warranting the use of specific age-related reference values for this breed's foals
Demonstration of Universal Parametric Entangling Gates on a Multi-Qubit Lattice
We show that parametric coupling techniques can be used to generate selective
entangling interactions for multi-qubit processors. By inducing coherent
population exchange between adjacent qubits under frequency modulation, we
implement a universal gateset for a linear array of four superconducting
qubits. An average process fidelity of is estimated for
three two-qubit gates via quantum process tomography. We establish the
suitability of these techniques for computation by preparing a four-qubit
maximally entangled state and comparing the estimated state fidelity against
the expected performance of the individual entangling gates. In addition, we
prepare an eight-qubit register in all possible bitstring permutations and
monitor the fidelity of a two-qubit gate across one pair of these qubits.
Across all such permutations, an average fidelity of
is observed. These results thus offer a path to a scalable architecture with
high selectivity and low crosstalk
A polygenic risk score for multiple myeloma risk prediction
There is overwhelming epidemiologic evidence that the risk of multiple myeloma (MM) has a solid genetic background. Genome-wide association studies (GWAS) have identified 23 risk loci that contribute to the genetic susceptibility of MM, but have low individual penetrance. Combining the SNPs in a polygenic risk score (PRS) is a possible approach to improve their usefulness. Using 2361 MM cases and 1415 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium, we computed a weighted and an unweighted PRS. We observed associations with MM risk with OR = 3.44, 95% CI 2.53â4.69, p = 3.55 Ă 10â15 for the highest vs. lowest quintile of the weighted score, and OR = 3.18, 95% CI 2.1 = 34â4.33, p = 1.62 Ă 10â13 for the highest vs. lowest quintile of the unweighted score. We found a convincing association of a PRS generated with 23 SNPs and risk of MM. Our work provides additional validation of previously discovered MM risk variants and of their combination into a PRS, which is a first step towards the use of genetics for risk stratification in the general population
POEMS Syndrome: Real World Experience in Diagnosis and Systemic Therapy - 108 Patients Multicenter Analysis
POEMS syndrome, a rare plasma cell disorder, is challenging both in the diagnostic and therapeutic management. We present real word retrospective analysis of 108 cases analyzing clinical features and therapeutic modes. We compare our results with the available literature. This is the first description with such wide use of proteasome inhibitors in first line treatment. POEMS (Polyneuropathy, organomegaly, endocrinopathy, M-protein, skin changes) syndrome is a rare and challenging plasma cell disorder, both in the diagnostic and therapeutic management of the disease. Currently, the literature on POEMS is sparse with most evidence being case reports and small case studies. We present a retrospective real world experience of 108 patients with POEMS. We analyzed the clinical features and therapeutic interventions. Regarding clinical features, our findings demonstrated that skin lesions, thrombocythemia and polycythemia were present less frequently than reported previously. Regarding clinical interventions, this is one of the largest analyses of front line treatment in POEMS and the first one to include frequent utilization of proteasome inhibitors (37%). Bortezomib monotherapy was the most effective therapy achieving complete remission/very good partial remissions (CR/VGPR) in 69% of patients. Thirty percent of patients proceeded to planned autologous stem cell transplant (ASCT) as part of the front-line treatment resulting in statistically superior progression-free (PFS) and overall survival (OS) compared to non-ASCT treated patients (P= .003). In multivariate analysis, anemia, thrombocytopenia, and as age over 60 were associated with a negative impact on patient outcomes
Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients
Canadian Institutes of Health Research, Grant/
Award Number: 81274; Huntsman Cancer
Institute Pilot Funds; Leukemia Lymphoma
Society, Grant/Award Number: 6067-09; the
National Institute of Health/National Cancer
Institute, Grant/Award Numbers: P30
CA016672, P30 CA042014, P30 CA13148,
P50 CA186781, R01 CA107476, R01
CA134674, R01 CA168762, R01 CA186646,
R01 CA235026, R21 CA155951, R25 CA092049, R25 CA47888, U54 CA118948;
Utah Population Database, Utah Cancer
Registry, Huntsman Cancer Center Support
Grant, Utah State Department of Health,
University of Utah; VicHealth, Cancer Council
Victoria, Australian National Health and
Medical Research Council, Grant/Award
Numbers: 1074383, 209057, 396414;
Victorian Cancer Registry, Australian Institute
of Health and Welfare, Australian National
Death Index, Australian Cancer Database;
Mayo Clinic Cancer Center; University of Pisa
and DKFZThe authors thank all site investigators that contributed to the studies
within the Multiple Myeloma Working Group (Interlymph Consortium),
staff involved at each site and, most importantly, the study participants
for their contributions that made our study possible. This work was partially
supported by intramural funds of University of Pisa and DKFZ. This
work was supported in part by the National Institute of Health/National
Cancer Institute (R25 CA092049, P30 CA016672, R01 CA134674, P30
CA042014, R01 CA186646, R21 CA155951, U54 CA118948, P30
CA13148, R25 CA47888, R01 CA235026, R01 CA107476, R01
CA168762, P50 CA186781 and the NCI Intramural Research Program),
Leukemia Lymphoma Society (6067-09), Huntsman Cancer Institute
Pilot Funds, Utah PopulationDatabase, Utah Cancer Registry, Huntsman
Cancer Center Support Grant, Utah StateDepartment of Health, University
of Utah, Canadian Institutes of Health Research (Grant number
81274), VicHealth, Cancer Council Victoria, Australian National Health
and Medical Research Council (Grants 209057, 396414, 1074383), Victorian
Cancer Registry, Australian Institute of Health and Welfare,
Australian National Death Index, Australian Cancer Database and the
Mayo Clinic Cancer Center.Open Access funding enabled and organized
by ProjektDEAL.The data that support the findings of this study are available on
request from the corresponding author. The data are not publicly
available due to privacy or ethical restrictions.Gene expression profiling can be used for predicting survival in multiple myeloma (MM) and identifying patients who will benefit from particular types of therapy. Some germline single nucleotide polymorphisms (SNPs) act as expression quantitative trait loci (eQTLs) showing strong associations with gene expression levels. We performed an association study to test whether eQTLs of genes reported to be associated with prognosis of MM patients are directly associated with measures of adverse outcome. Using the genotype-tissue expression portal, we identified a total of 16 candidate genes with at least one eQTL SNP associated with their expression with P < 10(-7) either in EBV-transformed B-lymphocytes or whole blood. We genotyped the resulting 22 SNPs in 1327 MM cases from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and examined their association with overall survival (OS) and progression-free survival (PFS), adjusting for age, sex, country of origin and disease stage. Three polymorphisms in two genes (TBRG4-rs1992292, TBRG4-rs2287535 and ENTPD1-rs2153913) showed associations with OS at P < .05, with the former two also associated with PFS. The associations of two polymorphisms in TBRG4 with OS were replicated in 1277 MM cases from the International Lymphoma Epidemiology (InterLymph) Consortium. A meta-analysis of the data from IMMEnSE and InterLymph (2579 cases) showed that TBRG4-rs1992292 is associated with OS (hazard ratio = 1.14, 95% confidence interval 1.04-1.26, P = .007). In conclusion, we found biologically a plausible association between a SNP in TBRG4 and OS of MM patients.Canadian Institutes of Health Research (CIHR)
81274Huntsman Cancer Institute Pilot FundsLeukemia and Lymphoma Society
6067-09United States Department of Health & Human Services
National Institutes of Health (NIH) - USA
NIH National Cancer Institute (NCI)
P30 CA016672
P30 CA042014
P30 CA13148
P50 CA186781
R01 CA107476
R01 CA134674
R01 CA168762
R01 CA186646
R01 CA235026
R21 CA155951
R25 CA092049
R25 CA47888
U54 CA118948Utah Population Database, Utah Cancer Registry, Huntsman Cancer Center Support Grant, Utah State Department of Health, University of UtahVicHealth, Cancer Council Victoria, Australian National Health and Medical Research Council
1074383
209057
396414Victorian Cancer Registry, Australian Institute of Health and Welfare, Australian National Death Index, Australian Cancer DatabaseMayo Clinic Cancer CenterUniversity of PisaHelmholtz Associatio
Inflammatory cell response to ultra-thin amorphous and crystalline hydroxyapatite surfaces
The use of chemical markers for the identification of farm escapees in feral mink populations
The clinical significance of serum chitinase 3âlike 1 in hepatitis Bârelated chronic liver diseases
Reliability assessment of bearing capacity of layered soils using High Dimensional Model Representation (HDMR)
HDMR (High Dimensional Model Representation) is a relatively new method that is used to form response surface based on results obtained through laboratory experiments or through numerical calculations. So far the method has been used mainly in chemistry, although a few studies conducted in recent years show that it can be considered a useful tool in soil mechanics and foundation engineering. The subject matter of this paper is the application of HDMR method to reliability assessment of bearing capacity of layered soils. Madejâs method, widely recognized and used by Polish engineers, is applied to conduct the calculations. In the analysed case bearing capacity is not expressed by means of an explicit formula. To fit the approximate functions of bearing capacity, its values are calculated on a grid of points equally spread on ranges of variables. Finding the relation between input and output data is conducted by means of assessing each variableâs influence on responseâs mean value within a given scope. Approximate functions have been used to calculate reliability indices by means of FORM, SORM and Monte Carlo methods
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