13 research outputs found

    Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector-0

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    <p><b>Copyright information:</b></p><p>Taken from "Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector"</p><p>Malaria Journal 2007;6():84-84.</p><p>Published online 2 Jul 2007</p><p>PMCID:PMC1940257.</p><p></p>tween sporozoite titration and the values obtained with the DNA standard curve used during the Real Time PCR assays

    Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector-1

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    <p><b>Copyright information:</b></p><p>Taken from "Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector"</p><p>Malaria Journal 2007;6():84-84.</p><p>Published online 2 Jul 2007</p><p>PMCID:PMC1940257.</p><p></p>squitoes had a second blood meal three days post-infection with or without chloroquine. Values represent the mean and standard error of three independent experiments. * Represents statistic significance

    Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector-4

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector"</p><p>Malaria Journal 2007;6():84-84.</p><p>Published online 2 Jul 2007</p><p>PMCID:PMC1940257.</p><p></p>tween sporozoite titration and the values obtained with the DNA standard curve used during the Real Time PCR assays

    Data_Sheet_1_Genetic diversity and antimicrobial resistance profiles of Staphylococcus pseudintermedius associated with skin and soft-tissue infections in companion animals in Lisbon, Portugal.docx

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    Staphylococcus pseudintermedius is the main bacterial pathogen of skin and soft-tissue infections (SSTIs) in companion animals. Antimicrobial resistance in this species is a growing public health concern. This study aims to characterize a collection of S. pseudintermedius causing SSTIs in companion animals, establishing the main clonal lineages and antimicrobial resistance traits. The collection corresponded to all S. pseudintermedius (n = 155) causing SSTIs in companion animals (dogs, cats and one rabbit) collected between 2014 and 2018 at two laboratories in Lisbon, Portugal. Susceptibility patterns were established by disk diffusion for 28 antimicrobials (15 classes). For antimicrobials without clinical breakpoints available, a cut-off value (COWT) was estimated, based on the distribution of the zones of inhibition. The blaZ and mecA genes were screened for the entire collection. Other resistance genes (e.g., erm, tet, aadD, vga(C), dfrA(S1)) were searched only for those isolates showing an intermediate/resistance phenotype. For fluoroquinolone resistance, we determined the chromosomal mutations in the target genes grlA and gyrA. All the isolates were typed by PFGE following SmaI macrorestriction and isolates representative of each PFGE type were further typed by MLST. Forty-eight out of the 155  S. pseudintermedius isolates (31.0%) were methicillin-resistant (mecA+, MRSP). Multidrug-resistant (MDR) phenotypes were detected for 95.8% of the MRSP and 22.4% of the methicillin-susceptible (MSSP) isolates. Of particular concern, only 19 isolates (12.3%) were susceptible to all antimicrobials tested. In total, 43 different antimicrobial resistance profiles were detected, mostly associated with the carriage of blaZ, mecA, erm(B), aph3-IIIa, aacA-aphD, catpC221, tet(M) and dfr(G) genes. The 155 isolates were distributed within 129 PFGE clusters, grouped by MLST in 42 clonal lineages, 25 of which correspond to new sequence types (STs). While ST71 remains the most frequent S. pseudintermedius lineage, other lineages that have been replacing ST71 in other countries were detected, including ST258, described for the first time in Portugal. This study revealed a high frequency of MRSP and MDR profiles among S. pseudintermedius associated with SSTIs in companion animals in our setting. Additionally, several clonal lineages with different resistance profiles were described, evidencing the importance of a correct diagnosis and selection of the therapy.</p

    Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector-3

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector"</p><p>Malaria Journal 2007;6():84-84.</p><p>Published online 2 Jul 2007</p><p>PMCID:PMC1940257.</p><p></p>sion. Mice infected with were given orally 0.5, 25, 50 mg chloroquine/kg body weight. Blood was collected at 2, 24, 48 and 72 hours post treatment. Values represent the mean and standard error of three independent experiments. * Represents statistic significance

    Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector-2

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Effect of chloroquine on gene expression of during its sporogonic development in the mosquito vector"</p><p>Malaria Journal 2007;6():84-84.</p><p>Published online 2 Jul 2007</p><p>PMCID:PMC1940257.</p><p></p>f three independent experiments at 0, 24, 48 and 72 hours post-infection

    IA association results for the SNPs associated in the discovery, replication and combined datasets.

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    <p>Odds ratios (OR) and 95% confidence intervals (CI) are relative to the allele on the forward strand of the human genome reference sequence and are only shown for those markers with nominally significant associations (<i>P</i><sub><i>adj</i></sub>≤5.00E-02). Significant associations are highlighted in bold.</p><p>SNP: Single nucleotide polymorphism; kb: Kilobase pairs; F<sub>cases</sub> and F<sub>controls</sub>: Allele frequency in cases and controls, respectively; <i>P</i>: Allelic qui-square P-value. <i>P</i><sub><i>adj</i></sub>: <i>P</i>-values from logistic regression using log-additive model are adjusted for hypertension in the discovery dataset, for hypertension and smoking habits in the replication and combined datasets; <i>UBR3</i>: ubiquitin protein ligase E3 component n-recognin 3 gene; <i>MYO3B</i>: myosin IIIB gene; <i>SCN11A</i>: sodium channel, voltage-gated, type XI, alpha subunit gene; <i>WDR48</i>: WD repeat domain 48 gene; <i>PRDM9</i>: PR domain containing 9 gene; <i>HTR1B</i>: 5-hydroxytryptamine (serotonin) receptor 1B gene.</p><p>IA association results for the SNPs associated in the discovery, replication and combined datasets.</p
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