The epidemiology of bovine viral diarrhea virus infection on a dairy farm - clinical signs, seroprevalence, virus detection and genotyping

Kučer, Nada; Marković, Evica; Prpić, Jelena; Rudan, Damir; Jemeršić, Lorena; Hajek, Zvonimir; Škaro, Kristijan; Pavlak, Marina; Rudan, Nevenka

doi:10.24099/vet.arhiv.1028

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bovine viral diarrhea virus (BVDV), a single-stranded RNA virus of genus Pestivirus within the Flaviviridae family, causes bovine viral diarrhea-mucosal disease (BVD-MD), which has clinically manifested as mucosal necrosis, systemic hemorrhagic illness, diarrhea, persistent infection, and reproductive diseases [1]. Presently, BVDV strains are separated into two types, cytopathic (CP) and non-cytopathic (NCP), according to whether they cause cytopathic lesions or not, of the virus in cell culture [2]. NCP-BVDV strains are more frequently observed in nature and are usually isolated from cattle farms that show clinical manifestations of acute infection [3].…”

Section: Introductionmentioning

confidence: 99%

Ethyl Gallate Inhibits Bovine Viral Diarrhea Virus by Promoting IFITM3 Expression, Lysosomal Acidification and Protease Activity

Zhang

Yang

Wang

et al. 2023

IJMS

View full text Add to dashboard Cite

Bovine viral diarrhea virus (BVDV) is a highly contagious viral disease which causes economic losses to the cattle industry. Ethyl gallate (EG) is a phenolic acid derivative which has various potentials to modulate the host response to pathogens, such as via antioxidant activity, antibacterial activity, inhibition of the production of cell adhesion factors, and so on. This study aimed to evaluate if EG influences BVDV infection in Madin-Darby Bovine Kidney (MDBK) cells, and to understand the antiviral mechanism. Data indicated that EG effectively inhibited BVDV infection by co-treatment and post-treatment in MDBK cells with noncytotoxic doses. In addition, EG suppressed BVDV infection at an early stage of the viral life cycle by blocking entry and replication steps but not viral attachment and release. Moreover, EG strongly inhibited BVDV infection by promoting interferon-induced transmembrane protein 3 (IFITM3) expression, which localized to the cytoplasm. The protein level of cathepsin B was significantly reduced by BVDV infection, whereas with treatment with EG, it was significantly enhanced. The fluorescence intensities of acridine orange (AO) staining were significantly decreased in BVDV-infected cells but increased in EG-treated cells. Finally, Western blot and immunofluorescence analyses demonstrated that EG treatment significantly enhanced the protein levels of autophagy markers LC3 and p62. Chloroquine (CQ) significantly increased IFITM3 expression, and Rapamycin significantly decreased it. Thus, EG may regulate IFITM3 expression through autophagy. Our results showed that EG could have a solid antiviral activity on BVDV replication in MDBK cells via increased IFITM3 expression, lysosomal acidification, protease activity, and regulated autophagy. EG might have value for further development as an antiviral agent.

show abstract

Section: Introductionmentioning

confidence: 99%

Ethyl Gallate Inhibits Bovine Viral Diarrhea Virus by Promoting IFITM3 Expression, Lysosomal Acidification and Protease Activity

Zhang

Yang

Wang

et al. 2023

IJMS

View full text Add to dashboard Cite

show abstract

Bovine Viral Diarrhea Virus Named Entity Recognition Based on BioBERT and MRC

Li,

Bai,

Wang

et al. 2024

Int. J. Patt. Recogn. Artif. Intell.

View full text Add to dashboard Cite

Utilizing deep learning for data mining in biomedicine often falls short in leveraging prior knowledge and adapting to the complexities of biomedical literature mining. Entity recognition, a fundamental task in information extraction, also provides data support for Natural Language Processing (NLP) downstream tasks. Bovine Viral Diarrhea Virus (BVDV) results in considerable economic losses in the cattle industry due to calf diarrhea, bovine respiratory syndrome, and cow abortion. This study aims to extract information on BVDV from relevant literature and build a knowledge base. It enhances feature extraction in the BioBERT pre-trained model using the Machine Reading Comprehension (MRC) framework for information fusion and bi-directionally extracts corpus information through the Bi-LSTM network, followed by a CRF layer for decoding and prediction. The results show the construction of a BVDV Corpus with 22 biomedical entities and introduce the BioBERT-Bi-LSTM-CRF Integrated with MRC (BBCM) model for Named Entity Recognition (NER), combining prior knowledge and the reading comprehension framework (MRC). The BBCM model achieves [Formula: see text]-scores of 78.79% and 76.3% on the public datasets JNLPBA and GENIA, respectively, and 67.52% on the BVDV Corpus, outperforming other models. This research presents a targeted NER method for BVDV, effectively identifying related entities and exploring their relationships, thus providing valuable data support for NLP’s downstream tasks.

show abstract

The epidemiology of bovine viral diarrhea virus infection on a dairy farm - clinical signs, seroprevalence, virus detection and genotyping

Cited by 2 publications

References 0 publications

Ethyl Gallate Inhibits Bovine Viral Diarrhea Virus by Promoting IFITM3 Expression, Lysosomal Acidification and Protease Activity

Ethyl Gallate Inhibits Bovine Viral Diarrhea Virus by Promoting IFITM3 Expression, Lysosomal Acidification and Protease Activity

Bovine Viral Diarrhea Virus Named Entity Recognition Based on BioBERT and MRC

Contact Info

Product

Resources

About