Bluetongue (BT) is a vector-borne disease of immense economic importance for small and large ruminants. Despite frequent disease reports from neighboring countries, a little is known about current disease status and prevalent serotypes in Pakistan. We screened a total of 1312 healthy animals for group-specific antibodies and serotype-specific genome for BT virus through competitive ELISA and real-time PCR, respectively. An overall prevalence of group-specific VP7 antibodies [28.81% (n = 378/1312, 95% CI = 26.4-31.4)] was observed. The prevalence was higher in goats [40.75% (n = 194/476, 95% CI = 36.4-45.3)] followed by buffalo [29.34% (n = 81/276, 95% CI = 24.3-34.9)], sheep [18.40% (n = 60/326, 95% CI = 14.5-22.9)] and cattle [17.94% (n = 42/234, 95% CI = 13.56-23.4)]. The odds of seropositivity were more in buffalo of Nili breed (OR = 2.06, 95% CI = 1.19-3.58) as well as those found with a presence of vector (OR = 2.04, 95% CI = 1.16-3.59). Buffalo and cattle with history of abortion [(OR = 3.95, 95% CI = 1.33-11.69) and (OR = 5.89, 95% CI = 1.80-19.27) respectively] were much likely to be infected with the disease. Serotype 8 was detected in all animal species while, serotypes 4 and 6 were detected in sheep, 2, 6 and 11 in goat, and 2 and 16 in buffalo. The study concludes a much frequent exposure of different serotypes of Bluetongue virus (BTV) in small and large ruminants and indicates its expansion to enzootic range worldwide.
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http://dx.doi.org/10.1016/j.actatropica.2018.09.020 | DOI Listing |
Eur Thyroid J
January 2025
D Yabe, Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine Faculty of Medicine, Kyoto, Japan.
Immune checkpoint inhibitors (ICIs) frequently cause immune-related adverse events (irAEs), with thyroid irAEs being the most common endocrine-related irAEs. The incidence of overt thyroid irAEs ranged 8.9-22.
View Article and Find Full Text PDFPLoS Genet
January 2025
Department of Human Genetics, The University of Chicago, Chicago, Illinois, United States of America.
Understanding the genetic regulatory mechanisms of gene expression is an ongoing challenge. Genetic variants that are associated with expression levels are readily identified when they are proximal to the gene (i.e.
View Article and Find Full Text PDFPLoS One
January 2025
School of Economics and Management, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
The utilization of manure resources is an important measure to promote the development of agricultural green low-carbon cycle and solve the challenges associated with the current large-scale development of the livestock and poultry breeding industry. Based on the survey data of pig farmers in Qingdao, Shandong Province, China, this paper constructs a theoretical analysis framework of pig breeding scale and technical cognition on the utilization behavior of livestock and poultry manure resources of pig farmers. The binary Logit model and the moderating effect model are used to deeply explore the scale effect of breeding scale on the utilization behavior of pig farmers' manure resources, and the moderating effect of technical cognition on the influence of breeding scale on the utilization behavior of manure resources.
View Article and Find Full Text PDFChem Biol Drug Des
January 2025
Department of Molecular Biology and Biochemistry, University of California, Irvine, California, USA.
A new series of 13 ritonavir-like inhibitors of human drug-metabolizing CYP3A4 was rationally designed to study the R side-group and R end-group interplay when the R side-group is represented by phenyl. Spectral, functional, and structural characterization showed no improvement in the binding affinity and inhibitory potency of R/R-phenyl inhibitors upon elongation and/or fluorination of R-Boc (tert-butyloxycarbonyl) or its replacement with benzenesulfonyl. When R is pyridine, the impact of R-phenyl-to-indole/naphthalene substitution was multidirectional and highly dependent on side-group stereo configuration.
View Article and Find Full Text PDFJ Magn Reson Imaging
January 2025
Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway.
Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.
Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.
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