Conservative non-surgical management of horizontal root-fractured maxillary incisors in a young male with angle class ii, division 2, malocclusion

Horizontal root fractures are a rare emergency in a dental office. The injury involves periodontal ligament, cementum, dentine and pulp. The healing is influenced by the location of the root fracture, the displacement of the fragments and the status of the pulp. This report presents a clinical case of horizontal fractures to both maxillary central incisors due to an act of violence. The type of occlusion has avoided a severe diastasis of the coronal parts with a subsequent damage to the pulp and periodontum. The fractures were treated with an orthodontic splint without any further therapy and hard tissue healing was observed. A careful diagnosis and well-timed treatment planning usually allow a cost-efficient and biologically-oriented therapy with a favorable outcome

Using multi-level Petri nets models to simulate microbiota resistance to antibiotics

The spread of antibiotic resistance is a growing problem known to be caused by antibiotic usage itself. This problem can be analyzed at different levels. Antibiotic administration policies and practices affect the societal system, which is made by human individuals and by their relations. Individuals developing resistance interact with each other and with the environment while receiving antibiotic treatments moving the problem at a different level of analysis. Each individual can be further see as a meta-organism together with his associated microbiotas, which prove to have a prominent role in the resistance spreading dynamics. Eventually, in each microbiota, population dynamics and vertical or horizontal transfer events implement cellular and molecular mechanisms for resistance spreading and possibly for its prevention. Using the Nets-within-nets formalism, in this work we model the relation between different antibiotic administration protocols and resistance spread dynamics both at the human population and at the single microbiota level

Undergraduate Mathematics Students' Understanding of the Concept of Function

Concern has been expressed that many commencing undergraduate mathematics students have mastered skills without conceptual understanding. A pilot study carried out at a leading Australian university indicates that a significant number of students, with high tertiary entrance ranks, have very limited understanding of the concept of function, despite the emphasis it receives in the secondary mathematics curriculum. Whilst most students were familiar with families of functions, many were unable to give an appropriate definition or recognize whether a given graph or rule represents a function; and could not make correct connections between function graphs and tables of values

Modeling biological complexity using Biology System Description Language (BiSDL)

The Nets-within-Nets formalism (NWN) allows to model complex biological systems expressing hierarchy, encapsulation, selective communication, spatiality, quantitative mechanisms, and stochasticity. To make NWN usable by life science researchers as well as systems biologists, we introduce a new human-readable description language able to express these same NWN model properties, at different levels of abstraction. BiSDL (Biology Systems Description Language) is derived from the VHDL specification, a standard description language for hardware systems. In this paper we chose a simple signaling pathway example to show how BiSDL enables modeling complex biological systems by separating the behavioral model from the architectural details

Phase II study of Gemcitabine and Curcumin (Meriva®) as first line treatment for locally advanced or metastatic pancreatic cancer: preliminary results

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Expression of CCL9/MIP-1γ is repressed by BCR/ABL and its restoration suppresses in vivo leukemogenesis of 32D-BCR/ABL cells

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The effect of timing and composition of gestational weight gain in obese pregnant women on infant birth weight: A prospective cohort study.

Introduction: CK2 is a protein kinase implicated in several essential cellular processes, over-expressed in cancer and described to regulate insulin signaling cascade. Recently CK2 has been described to negatively regulate thermogenesis (Shinoda K et al, 2015, Cell Metabolism) and to inhibit insulin release (Rossi M et al, 2015, PNAS). Nevertheless, the role of CK2 in adipose tissue (AT) and its involvement in human obesity development and therapy has been poorly investigated. Methods: Our multi-disciplinary team performed biochemical analysis of signaling pathways by WB and in vitro kinase activity assays, and glucose handling studies using glucose uptake assay and IF in adipocyte cultures and glucose and insulin tolerance test in mice. Moreover we quantify CK2 expression/activity in human AT specimens of 27 obese patients, clinically characterized, in 12 obese patients underwent relevant weight loss and 11 normal-weight controls. Results: We proved that CK2 amount and activity were not influenced by insulin stimulation and that CK2 activity was efficiently inhibited by specific inhibitors, structurally unrelated. We worked with CX-4945, a CK2 inhibitor currently used in cancer clinical trials, using the minimal concentration (2.5 \u192 dM) and pre-treatment time (1hr) able to efficiently inhibit CK2 activity, avoiding any cytotoxic effect. Pharmacological inhibition of CK2 did not significantly affect in vitro adipogenic differentiation or expression profiling of mature adipocytes. Conversely, we showed that in human and murine adipocytes CK2-inhibition decreases the insulin-induced glucose uptake by counteracting Akt-signaling and GLUT4-translocation to the plasma membrane. We compared CK2 expression and activity in different mouse tissues highlighted that white skeletal muscle fibres and liver contained the highest quantity of this kinase. CK2 was expressed more in brown AT than in white AT depots. We show that CK2 promotes insulin-signaling in mouse AT, liver and skeletal muscle and that in vivo acute treatment with CX-4945 impairs glucose- tolerance in mice. Studies in tissues of ob/ob and db/db mice highlights an up-regulation of CK2 expression and activity only in WAT. CK2 hyper-activation is strongly evident also in SAT and VAT of obese patients and weight loss obtained by bariatric surgery or hypocaloric diet reverts CK2 up-regulation to normal level. Conclusion: We show that CK2 is involved in insulin sensitivity, glucose handling and remodeling of WAT. Moreover we identify CK2 hyper-activation as a hallmark of human obesity, suggesting a new potential therapeutic target for metabolic diseases

Enantiopure Dinaphtho[2,3-b:2,3-f]thieno[3,2-b]thiophenes: Reaching High Magnetoresistance Effect in OFETs

Chiral molecules are known to behave as spin filters due to the chiral induced spin selectivity (CISS) effect. Chirality can be implemented in molecular semiconductors in order to study the role of the CISS effect in charge transport and to find new materials for spintronic applications. In this study, the design and synthesis of a new class of enantiopure chiral organic semiconductors based on the well-known dinaphtho[2,3-b:2,3-f]thieno[3,2-b]thiophene (DNTT) core functionalized with chiral alkyl side chains is presented. When introduced in an organic field-effect transistor (OFET) with magnetic contacts, the two enantiomers, (R)-DNTT and (S)-DNTT, show an opposite behavior with respect to the relative direction of the magnetization of the contacts, oriented by an external magnetic field. Each enantiomer displays an unexpectedly high magnetoresistance over one preferred orientation of the spin current injected from the magnetic contacts. The result is the first reported OFET in which the current can be switched on and off upon inversion of the direction of the applied external magnetic field. This work contributes to the general understanding of the CISS effect and opens new avenues for the introduction of organic materials in spintronic devices

The polo-like kinase 1 (PLK1) inhibitor NMS-P937 is effective in a new model of disseminated primary CD56+ acute monoblastic leukaemia

CD56 is expressed in 15–20% of acute myeloid leukaemias (AML) and is associated with extramedullary diffusion, multidrug resistance and poor prognosis. We describe the establishment and characterisation of a novel disseminated model of AML (AML-NS8), generated by injection into mice of leukaemic blasts freshly isolated from a patient with an aggressive CD56+ monoblastic AML (M5a). The model reproduced typical manifestations of this leukaemia, including presence of extramedullary masses and central nervous system involvement, and the original phenotype, karyotype and genotype of leukaemic cells were retained in vivo. Recently Polo-Like Kinase 1 (PLK1) has emerged as a new candidate drug target in AML. We therefore tested our PLK1 inhibitor NMS-P937 in this model either in the engraftment or in the established disease settings. Both schedules showed good efficacy compared to standard therapies, with a significant increase in median survival time (MST) expecially in the established disease setting (MST = 28, 36, 62 days for vehicle, cytarabine and NMS-P937, respectively). Importantly, we could also demonstrate that NMS-P937 induced specific biomarker modulation in extramedullary tissues. This new in vivo model of CD56+ AML that recapitulates the human tumour lends support for the therapeutic use of PLK1 inhibitors in AML

A computational approach to identify whole genome homozygosity mapping across multiple SNP mapping experiments

The recent development of microarray platforms, capable to genotype more than thousands of single nucleotide polymorphisms (SNPs) in individuals, had provided an opportunity to rapidly identify susceptibility loci for complex phenotypes. High density SNP mapping arrays have been widely applied to association studies, to copy number (CN) analysis in cancers and recently to investigate the role of homozygosity extended regions in individuals. Long stretches of CN neutral and homozygous SNPs, defined as runs of homozygosity (ROHs) can be found either in a single individual or shared across samples. The identification of ROHs among affected individuals of the same family or among unrelated ones with same disease, can underline loci potentially implicated in the genetic basis of the disease under study. Therefore the identification of ROHs in affected individuals or pathological datasets gives a chance to identify disease associated loci and new causative mutations. In order to identify ROHs pattern across Affymetrix SNP mapping datasets, we developed a computational strategy including several computational steps: 1) loss of heterozygosity analysis by dChip2007 software; 2) a within-subject step allowing the identification of ROHs in a single sample; 3) an across-subject step extracting the ROH fingerprint of the dataset and 4) the identification of a common ROHs pattern based on frequency across the dataset under study, varying the number of individuals carrying common ROHs; 5) the annotation step allowing the association of genes to selected ROHs. In order to obtain an effective ROHs visualization, we use dChip software for the entire samples dataset. We assess our strategy to two SNP mapping datasets including 100K leukemia and 250K congenital recessive diseases. The procedure allowed the identification of a unique genetic ROH fingerprint of clinical datasets potentially important to discover new diseases associated loci suitable for further investigations