81 research outputs found

    Evaluation of quantity and purity of miRNAs extracted from different matrices collected from dogs with Mast Cell Tumours.

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    MicroRNAs (miRNAs) are a class of short non-coding RNA, which interact with the 3’ UTR region of complementary mRNA to decrease or inhibit the translation of proteins (Lai, 2002). MiRNAs regulate pathways in various pathophysiological status, and are regarded as biomarkers for early diagnosis of several diseases, including cancer (Di Leva et al., 2014).The study aims to evaluate the quality and purity of miRNAs extracted from a) 11 archival Formalin Fixed and Paraffin Embedded (FFPE) samples of Mast Cell Tumour (MCT) at stage I, II, III and IV, and 8 intra-patient healthy controls; b) samples collected during surgery, including 6 samples of saliva, primary tumour biopsy and serum/plasma. The quality of miRNA largely influence the downstream experiments, and must be carefully evaluated before performing for examples, the sequencing reaction. MiRNA extraction was carried out using commercial kits (Qiagen) and quantify using Small RNA Kit (Agilent) on Agilent 2100 Bioanalyzer. The results showed that the concentration of miRNAs from FFPE, saliva,  primary tumor biopsy and serum was acceptable with a Median (Me)= 56,91 ng/ml, Me=10,30 ng/ml, Me=3,44 ng/ml and  Me=0,71 ng/ml, and a miRNA/Small RNA ratio of 48%, 61%, 17% and 76%, respectively. The concentration of miRNAs from plasma was not detectable. Studies reveal that plasma ranks as the first choice source for diagnostic purpose, much more than serum (Aung et al., 2014), but the debate remains open and subsequent analyses are needed.The concentration of miRNAs from FFPE and saliva samples is higher than that from other matrices. Possible explanations include a) different quantity and quality of starting materials; b) nucleic acids fragmentation, due to the formalin fixation and paraffin embedded procedure; c) presence of nucleases in saliva, which produce small fragments recognized as miRNAs or smallRNAs.In conclusion, the quantity and the purity of miRNAs, obtained using Qiagen commercial kits, are reliable for further NGS analysis

    Ataxia with oculomotor apraxia type 2: a clinical, pathologic, and genetic study

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    BACKGROUND: Ataxia with oculomotor apraxia type 2 (AOA2) is characterized by onset between age 10 and 22 years, cerebellar atrophy, peripheral neuropathy, oculomotor apraxia (OMA), and elevated serum alpha-fetoprotein (AFP) levels. Recessive mutations in SETX have been described in AOA2 patients. OBJECTIVE: To describe the clinical features of AOA2 and to identify the SETX mutations in 10 patients from four Italian families. METHODS: The patients underwent clinical examination, routine laboratory tests, nerve conduction studies, sural nerve biopsy, and brain MRI. All were screened for SETX mutations. RESULTS: All the patients had cerebellar features, including limb and truncal ataxia, and slurred speech. OMA was observed in two patients, extrapyramidal symptoms in two, and mental impairment in three. High serum AFP levels, motor and sensory axonal neuropathy, and marked cerebellar atrophy on MRI were detected in all the patients who underwent these examinations. Sural nerve biopsy revealed a severe depletion of large myelinated fibers in one patient, and both large and small myelinated fibers in another. Postmortem findings are also reported in one of the patients. Four different homozygous SETX mutations were found (a large-scale deletion, a missense change, a single-base deletion, and a splice-site mutation). CONCLUSIONS: The clinical phenotype of oculomotor apraxia type 2 is fairly homogeneous, showing only subtle intrafamilial variability. OMA is an inconstant finding. The identification of new mutations expands the array of SETX variants, and the finding of a missense change outside the helicase domain suggests the existence of at least one more functional region in the N-terminus of senataxin

    Characterization of skin surface and dermal microbiota in dogs with mast cell tumor

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    The skin microbiota interacts with the host immune response to maintain the homeostasis. Changes in the skin microbiota are linked to the onset and the progression of several diseases, including tumors. We characterized the skin surface and dermal microbiota of 11 dogs affected by spontaneous mast cell tumor (MCT), using skin contralateral sites as intra-animal healthy controls. The microbial profile differed between healthy and tumor skin surfaces and dermis, demonstrating that the change in microbiota composition is related to the presence of MCT. The number of observed taxa between MCT and healthy skin surfaces was detected, showing a decrease in number and heterogeneity of taxa over the skin surface of MCT, at both inter- and intra-individual level. Preliminary data on bacterial population of MCT dermis, obtained only on three dogs, demonstrated an intra-individual reduction of taxa number when compared to the skin surface. Taxonomy reveals an increase of Firmicutes phylum and Corynebacteriaceae family in MCT skin surface when compared to the healthy contralateral. In conclusion, we demonstrate that microbial population of skin surface and dermis is related to mast cell tumor. Our study provides the basis for future investigations aiming to better define the interaction between mast cell tumors, microbiota and host immune response

    Solid Organ Transplantation During COVID-19 Pandemic: An International Web-based Survey on Resources’ Allocation

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    Background. Solid organ transplants (SOTs) are life-saving interventions, recently challenged by coronavirus disease 2019 (COVID-19). SOTs require a multistep process, which can be affected by COVID-19 at several phases. Methods. SOT-specialists, COVID-19-specialists, and medical ethicists designed an international survey according to CHERRIES guidelines. Personal opinions about continuing SOTs, safe managing of donors and recipients, as well as equity of resources' allocation were investigated. The survey was sent by e-mail. Multiple approaches were used (corresponding authors from Scopus, websites of scientific societies, COVID-19 webinars). After the descriptive analysis, univariate and multivariate ordinal regression analysis was performed. Results. There were 1819 complete answers from 71 countries. The response rate was 49%. Data were stratified according to region, macrospecialty, and organ of interest. Answers were analyzed using univariate- multivariate ordinal regression analysis and thematic analysis. Overall, 20% of the responders thought SOTs should not stop (continue transplant without restriction); over 70% suggested SOTs should selectively stop, and almost 10% indicated they should completely stop. Furthermore, 82% agreed to shift resources from transplant to COVID-19 temporarily. Briefly, main reason for not stopping was that if the transplant will not proceed, the organ will be wasted. Focusing on SOT from living donors, 61% stated that activity should be restricted only to "urgent"cases. At the multivariate analysis, factors identified in favor of continuing transplant were Italy, ethicist, partially disagreeing on the equity question, a high number of COVID-19- related deaths on the day of the answer, a high IHDI country. Factors predicting to stop SOTs were Europe except-Italy, public university hospital, and strongly agreeing on the equity question. Conclusions. In conclusion, the majority of responders suggested that transplant activity should be continued through the implementation of isolation measures and the adoption of the COVID-19-free pathways. Differences between professional categories are less strong than supposed

    Appendix to BEH 3781

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    Table A1. Table of P values and Q values.  Figure A1. Histogram of raw P-values. False Discovery Rate: P-values below 0.05 = 7; P-values above 0.5 = 4 (including value P=0.466); estimated below 0.5 = 4; estimated true null hypothesis: 8; Estimated P-values below 0.05: 4/10 = 0.4; FDR = 0.4/7 = 5.71%. Figure A2. Scheme of the design of this study. (A) The main response variable was the peak frequency of the vocalizations of the focal male during countersinging interactions with either of two neighbours. (B): Each data point represents the average peak frequency of the focal male in a single interaction with a neighbour. The difference between the overall averages f determines which individual is labelled NL and which NH (see Methods). (C) Layout of the within-subject contrasts. Squares: focal males. Dots, neighbouring males. Colours represent identities. (D) Variation in the overlap of call posts of focal male (grey dots) and a neighbour (red or blue dots). The polygons represent the familiar space used by each individual during interactions. The arrows represent the signal sent by the focal male during an interaction, which is the focus if this study. Figure A3. Patterns of movement of focal males when two neighbouring males were vocally active simultaneously. Small squares in dimmed colour indicate all the call posts of the focal male, including that of solitary singing. Larger squares indicate the call posts during a specific interaction. Squares: focal subject. Dots: neighbour NL. Triangles: neighbour NH. Arrows indicate the movement of the focal male inferred from the temporal sequence of the recorded call posts. S: The starting position of the focal male. (A–E) Focal male moving towards neighbour NL (dot) once the latter began calling, while the other neighbour (NH, triangles) was already calling near or within the focal male’s territory. Multiple symbols indicate multiple positions during one interaction. A-C refer to the same focal male. Note that in A and C the focal male was initially near NH. (F, G) Focal male moving back to the centre of its territory after the neighbour NL (dot) ended the vocal display, while the other neighbour NH (triangle) continued calling at a short distance. S, starting position of the focal male; St, position of the focal male when NL ended calling. </p
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