3D multi-scale feature extraction and recalibration network for spinal structure and lesion segmentation.

BACKGROUND: Automatic segmentation has emerged as a promising technique for the diagnosis of spinal conditions. PURPOSE: To design and evaluate a deep convolution network for segmenting the intervertebral disc, spinal canal, facet joint, and herniated disk on magnetic resonance imaging (MRI) scans. MATERIAL AND METHODS: MRI scans of 70 patients with disc herniation were gathered and manually annotated by radiologists. A novel deep neural network was developed, comprising 3D squeeze-and-excitation blocks and multi-scale feature extraction blocks for automated segmentation of spinal structure and lesion. To address the issue of class imbalance, a weighted cross-entropy loss was introduced for training. In addition, semi-supervision segmentation was accomplished to reduce annotation labor cost. RESULTS: The proposed model achieved 77.67% mean intersection over union, with 9.56% and 11.11% gains over typical V-Net and U-Net respectively, outperforming the other models in ablation experiments. In addition, the semi-supervision segmentation method was proven to work. CONCLUSION: The 3D multi-scale feature extraction and recalibration network achieved an excellent segmentation performance of intervertebral disc, spinal canal, facet joint, and herniated disk, outperforming typical encoder-decoder networks.

Characterization of Self-Processing Activities and Substrate Specificities of Porcine Torovirus 3C-Like Protease.

The 3C-like protease (3CLpro) of nidovirus plays an important role in viral replication and manipulation of host antiviral innate immunity, which makes it an ideal antiviral target. Here, we characterized that porcine torovirus (PToV; family Tobaniviridae, order Nidovirales) 3CLpro autocatalytically releases itself from the viral precursor protein by self-cleavage. Site-directed mutagenesis suggested that PToV 3CLpro, as a serine protease, employed His53 and Ser160 as the active-site residues. Interestingly, unlike most nidovirus 3CLpro, the P1 residue plays a less essential role in N-terminal self-cleavage of PToV 3CLpro Substituting either P1 or P4 residue of substrate alone has little discernible effect on N-terminal cleavage. Notably, replacement of the two residues together completely blocks N-terminal cleavage, suggesting that N-terminal self-cleavage of PToV 3CLpro is synergistically affected by both P1 and P4 residues. Using a cyclized luciferase-based biosensor, we systematically scanned the polyproteins for cleavage sites and identified (FXXQ↓A/S) as the main consensus sequences. Subsequent homology modeling and biochemical experiments suggested that the protease formed putative pockets S1 and S4 between the substrate. Indeed, mutants of both predicted S1 (D159A, H174A) and S4 (P62G/L185G) pockets completely lost the ability of cleavage activity of PToV 3CLpro In conclusion, the characterization of self-processing activities and substrate specificities of PToV 3CLpro will offer helpful information for the mechanism of nidovirus 3C-like proteinase's substrate specificities and the rational development of the antinidovirus drugs.IMPORTANCE Currently, the active-site residues and substrate specificities of 3C-like protease (3CLpro) differ among nidoviruses, and the detailed catalytic mechanism remains largely unknown. Here, porcine torovirus (PToV) 3CLpro cleaves 12 sites in the polyproteins, including its N- and C-terminal self-processing sites. Unlike coronaviruses and arteriviruses, PToV 3CLpro employed His53 and Ser160 as the active-site residues that recognize a glutamine (Gln) at the P1 position. Surprisingly, mutations of P1-Gln impaired the C-terminal self-processing but did not affect N-terminal self-processing. The "noncanonical" substrate specificity for its N-terminal self-processing was attributed to the phenylalanine (Phe) residue at the P4 position in the N-terminal site. Furthermore, a double glycine (neutral) substitution at the putative P4-Phe-binding residues (P62G/L185G) abolished the cleavage activity of PToV 3CLpro suggested the potential hydrophobic force between the PToV 3CLpro and P4-Phe side chains.

A Subunit Vaccine Based on the VP2 Protein of Porcine Parvovirus 1 Induces a Strong Protective Effect in Pregnant Gilts.

Porcine parvovirus 1 (PPV1) is one of the most prevalent pathogens that can cause reproductive disorder in sows. The VP2 protein of PPV1 is the most important immunogenic protein that induces neutralizing antibodies and protective immunity. Thus, VP2 is considered an ideal target antigen for the development of a genetically engineered PPV1 vaccine. In this study, the baculovirus transfer vector carrying the HR5-P10-VP2 expression cassette was successfully constructed with the aim of increasing the expression levels of the VP2 protein. The VP2 protein was confirmed using SDS‒PAGE and Western blot analyses. Electronic microscope analysis showed that the recombinant VP2 proteins were capable of self-assembling into VLPs with a diameter of approximately 25 nm. The immunogenicity of the VP2 subunit vaccine was evaluated in pigs. The results showed that VP2 protein emulsified with ISA 201VG adjuvant induced higher levels of HI antibodies and neutralizing antibodies than VP2 protein emulsified with IMS 1313VG adjuvant. Furthermore, the gilts immunized with the ISA 201VG 20 µg subunit vaccine acquired complete protection against PPV1 HN2019 infection. In contrast, the commercial inactivated vaccine provided incomplete protection in gilts. Therefore, the VP2 subunit vaccine is a promising genetically engineered vaccine for the prevention and control of PPV1.

Cross-species transmission of deltacoronavirus and the origin of porcine deltacoronavirus.

Deltacoronavirus is the last identified Coronaviridae subfamily genus. Differing from other coronavirus (CoV) genera, which mainly infect birds or mammals, deltacoronaviruses (δ-CoVs) reportedly infect both animal types. Recent studies show that a novel δ-CoV, porcine deltacoronavirus (PDCoV), can also infect calves and chickens with the potential to infect humans, raising the possibility of cross-species transmission of δ-CoVs. Here, we explored the deep phylogenetic history and cross-species transmission of δ-CoVs. Virus-host cophylogenetic analyses showed that δ-CoVs have undergone frequent host switches in birds, and sparrows may serve as the unappreciated hubs for avian to mammal transmission. Our molecular clock analyses show that PDCoV possibly originated in Southeast Asia in the 1990s and that the PDCoV cluster shares a common ancestor with Sparrow-CoV of around 1,810. Our findings contribute valuable insights into the diversification, evolution, and interspecies transmission of δ-CoVs and the origin of PDCoV, providing a model for exploring the relationships of δ-CoVs in birds and mammals.