Results 11 to 20 of about 1,424 (149)

A Rapid and Simple Assay Correlates In Vitro NetB Activity with Clostridium perfringens Pathogenicity in Chickens

open access: yesMicroorganisms, 2021
Necrotic enteritis is an important enteric disease in poultry, caused by NetB-producing Clostridium (C.) perfringens strains. As no straight-forward method to assess the NetB activity of C.
Martina Hustá   +3 more
doaj   +2 more sources

vaccination using profilin and NetB proteins in Montanide IMS adjuvant increases protective immunity against experimentally-induced necrotic enteritis [PDF]

open access: yesAsian-Australasian Journal of Animal Sciences, 2017
Objective The effects of vaccinating 18-day-old chicken embryos with the combination of recombinant Eimeria profilin plus Clostridium perfringens (C.
Hyun Soon Lillehoj   +7 more
doaj   +2 more sources

Structural and Functional Analysis of the Pore-Forming Toxin NetB from Clostridium perfringens [PDF]

open access: yesmBio, 2013
Clostridium perfringens is an anaerobic bacterium that causes numerous important human and animal diseases, primarily as a result of its ability to produce many different protein toxins. In chickens, C. perfringens causes necrotic enteritis, a disease of
Xu-Xia Yan   +13 more
doaj   +2 more sources

Characterization of Collagen Binding Activity of Clostridium perfringens Strains Isolated from Broiler Chickens

open access: yesPathogens, 2023
Clostridium perfringens is the etiological agent for necrotic enteritis (NE) in broiler chickens, which causes a substantial economic loss of an estimated USD 6 billion annually in the global poultry industry.
Zhifeng Sun   +7 more
doaj   +2 more sources

Research Note: First report on the detection of necrotic enteritis (NE) B-like toxin in biological samples from NE-afflicted chickens using capture enzyme-linked immunosorbent assay

open access: yesPoultry Science, 2021
: Necrotic enteritis (NE) is a devastating enteric disease caused by Clostridium perfringens type G. One of the pore-forming toxins, NE B-like (NetB) toxin, secreted by pathogenic C. perfringens type G, has been proposed to be the main virulent factor in
Kyung-Woo Lee   +6 more
doaj   +2 more sources

Collagen adhesin protein and necrotic enteritis B-like toxin as biomarkers for early diagnosis of necrotic enteritis in commercial broiler chickens

open access: yesPoultry Science, 2023
: Mouse monoclonal antibodies (mAbs) reactive with Clostridium perfringens collagen adhesin protein (CNA) and necrotic enteritis B-like toxin (NetB) were developed.
D. Goo   +8 more
doaj   +2 more sources

Recombinant Limosilactobacillus (Lactobacillus) delivering nanobodies against Clostridium perfringens NetB and alpha toxin confers potential protection from necrotic enteritis

open access: yesMicrobiologyOpen, 2022
Necrotic enteritis (NE), caused by Clostridium perfringens, is an intestinal disease with devastating economic losses to the poultry industry. NE is a complex disease and predisposing factors that compromise gut integrity are required to facilitate C ...
Dharanesh Gangaiah   +8 more
doaj   +2 more sources

Diffusion of Clostridium perfringens NetB positive strains in healthy and diseased chickens

open access: yesItalian Journal of Animal Science, 2010
For over 30 years α toxin was considered the key virulence factor responsible for the appearance of necrotic enteritis (NE) in chickens but, recently, a new toxin related to the occurrence of NE, called NetB, has been described.
Luca Bano   +6 more
doaj   +2 more sources

Role of Clostridium perfringens Necrotic Enteritis B-like Toxin in Disease Pathogenesis

open access: yesVaccines, 2021
Necrotic enteritis (NE) is a devastating enteric disease caused by Clostridium perfringens type A/G that impacts the global poultry industry by compromising the performance, health, and welfare of chickens.
Kyung-Woo Lee, Hyun S. Lillehoj
doaj   +1 more source

Semisupervised white matter hyperintensities segmentation on MRI

open access: yesHuman Brain Mapping, Volume 44, Issue 4, Page 1344-1358, March 2023., 2023
This article presented a study of training a white matter hyperintensity segmentation network on T2‐weighted fluid‐attenuated inversion recovery images without using manual labeled data. The segmentation performance outperform than other semisupervised and unsupervised methods. Abstract This study proposed a semisupervised loss function named level‐set
Fan Huang   +6 more
wiley   +1 more source

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