We report the study of sandfly infection in an area of low incidence of visceral leishmaniasis in Tunisia. Sandflies were collected monthly using CDC light-traps set in houses and animal shelters during May-November 2016 and 2017. All males were identified at the species level. A sample of 878 females including all gravid specimens was subjected to kDNA qPCR for detection and parasite load estimation. species were determined by ITS1 PCR sequencing, and species identification of infected sandflies was performed by DNA barcoding. and were the dominant species during the two-year period. However, comparison of their relative abundances showed that was more abundant during peaks of 2017 with longer activity duration. Real-time kDNA PCR did not detect infection in 2016, although it identified four positive specimens (0.7%) in 2017. All four infected specimens were identified as . ITS1 PCR sequencing allowed identification in one kDNA qPCR-positive specimen. This was a gravid female with a high parasite load caught during the long-lasting peak of 2017. This work highlights the usefulness of multi-seasonal studies of sandfly dynamics and kDNA qPCR in screening infection and determining vectors in hypo-endemic foci of human leishmaniasis.
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http://dx.doi.org/10.3390/microorganisms10051012 | DOI Listing |
Vet Anim Sci
March 2025
Veterinary Virology, School of Veterinary Medicine, Rakuno Gakuen University, 582 Midorimachi Bunkyodai, Ebetsu, Hokkaido, 0698501, Japan.
Enzootic bovine leukosis (EBL) is a malignant lymphoma of cattle that is mainly caused by bovine leukemia virus (BLV) infection. In this study, PCR-RFLP was used to investigate the frequency of the DRB3*009:02 allele in several farms with different herd management practices in Japan. A total of 742 Holsteins (384) and Japanese Blacks (230) were used as the sample size for the study, which was larger than the number of cattle in the study area with a confidence level of 95 % and a margin of error of 8.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Asra Mumtaz, Pharm. D, MPhil (Pharmacology) Karachi, Pakistan.
Objective: To investigate and compare the median nerve-cross sectional area at the wrist region of the dominant and non-dominant hands of high- and low- smartphone users.
Method: This descriptive cross-sectional study was based on 128 human subjects conducted at Bahria University Health Sciences Karachi Campus from January to June 2022. The sample size was calculated using the method of sample size for frequency in a population www.
RSC Med Chem
January 2025
Área de Neurofisiología celular, Instituto de Biología, Facultad de Ciencias Exactas y Naturales, Universidad de Antioquia Medellín Colombia
In this work, we developed potential multifunctional agents to combat Alzheimer's disease. According to our strategy, fragments of tacrine and donepezil were merged in a unique hybrid structure. After successfully synthesizing the compounds, they were evaluated for their dual AChE/BuChE inhibitor potential and neuroprotector response using a glutamate-induced excitotoxicity model.
View Article and Find Full Text PDFPan Afr Med J
October 2024
Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin.
Introduction: despite the considerable progress made to date, access to health care in public health facilities remains a challenging public health problem in Benin. This study aimed to assess trends in access to care over five years and to identify factors associated with low access to care.
Methods: a cross-sectional community-based study was conducted in the Bopa district, a rural area of southern Benin between January and February 2020.
J Intensive Care Soc
January 2025
Department of Anaesthesia, Critical Care, and Pain Medicine, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, UK.
Background: Identifying women at highest or lowest risk of perinatal intensive care unit (ICU) admission may enable clinicians to risk stratify women antenatally so that enhanced care or elective admission to ICU may be considered or excluded in birthing plans. We aimed to develop a statistical model to predict the risk of maternal ICU admission.
Methods: We studied 762,918 pregnancies between 2005 and 2018.
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