Isolation, identification, recombination analysis and pathogenicity experiment of a PRRSV recombinant strain in Sichuan Province, China.

Since 2013, the porcine reproductive and respiratory syndrome virus type 2 (PRRSV-2), lineage 1.8 (NADC30-like PRRSV) has emerged and become widely prevalent in China. The NADC30-like PRRSV poses significant challenges for disease control, primarily because of its propensity for frequent mutations and recombinations. We successfully isolated and identified a NADC30-like strain, designated SCCD22, in Chengdu, Sichuan Province, China. We meticulously examined the genetic recombination properties and evaluated its pathogenicity in 28-day-old piglets. SCCD22 showed 93.02% nucleotide homology with the NADC30 PRRSV strain, and its non-structural protein 2 coding region showed the same 131 amino acid deletion pattern as that seen in NADC30. Furthermore, we identified two recombination events in SCCD22: one in the NSP2 region (1,028-3,290 nt), where it was highly similar to the JXA1-like strain GZ106; and another in the NSP10 ~ 12 region (9,985-12,279 nt), closely resembling the NADC30-like strain CY2-1604. Piglets infected with SCCD22 exhibited clinical symptoms such as elevated body temperature, prolonged fever, reduced appetite, and roughened fur. Postmortem examinations underscored the typical lung pathology associated with PRRSV, indicating that the lungs were the primary affected organs. Furthermore, extended viral shedding accompanied by progressive viremia was observed in the serum and nasal excretions of infected piglets. In summary, this study reports a domestic PRRSV recombination strain in the Sichuan Province that can provide critical insights into preventing and controlling PRRSV in this region.

Corrigendum: Isolation, identification, recombination analysis and pathogenicity experiment of a PRRSV recombinant strain in Sichuan Province, China.

[This corrects the article DOI: 10.3389/fmicb.2024.1362471.].

Associations of serum carotenoids with asthma and mortality in the US adults.

Objective: This study was to investigate the association between serum carotenoid levels and the prevalence of asthma, as well as the relationship between serum carotenoid levels and the risk of mortality among individuals with asthma. Methods: Data on five serum carotenoids (α-carotene, ß-carotene, ß-cryptoxanthin, lutein/zeaxanthin, and lycopene) were obtained from the National Health and Nutrition Examination Survey (NHANES) 2001-2006. Mortality data was extracted from the pertinent mortality records within the NHANES database, up to December 31, 2019. Logistic regression analysis was employed to investigate the association between serum carotenoid concentrations and asthma prevalence. Cox proportional hazards models were used to investigate the connection between serum carotenoids and mortality rates in asthma individuals. Results: Among the study population, 1569 (12.63 %) individuals were diagnosed with asthma, while 25.01 % of asthma patients died within a median follow-up duration of 15.5 (13.8-17.3) years. After controlling for all other variables, greater serum levels of certain carotenoids, such asα-carotene, ß-carotene, ß-cryptoxanthin, and lutein/zeaxanthin, were found to be substantially linked with a decreased prevalence of asthma. Furthermore, persons with asthma who had greater levels of serum carotenoids in the fourth quartile had a significantly lower risk of all-cause death compared to those in the first quartile. Specifically, the presence of α-carotene, ß-cryptoxanthin, and lutein/zeaxanthin was associated with reductions in all-cause mortality by 45 % (HR = 0.55 [0.36-0.84], Ptrend = 0.002), 38 % (HR = 0.62 [0.42-0.92], Ptrend = 0.004), and 45 % (HR = 0.55 [0.41-0.73], Ptrend<0.001), respectively. The above relationships are mostly linear and remain robust in sensitivity analyses. Conclusions: Our findings indicate that higher serum carotenoids are related with a reduced likelihood of mortality in asthmatic individuals.

Fast and Secure Image Encryption Algorithm with Simultaneous Shuffling and Diffusion Based on a Time-Delayed Combinatorial Hyperchaos Map.

Adding time delay to nonlinear systems can significantly improve their performance, making it possible to construct image-encryption algorithms with higher security. In this paper, we propose a time-delayed nonlinear combinatorial hyperchaotic map (TD-NCHM) with a wide hyperchaotic interval. Based on TD-NCHM, we develop a fast and secure image-encryption algorithm that includes a plaintext-sensitive key-generation method and a simultaneous row-column shuffling-diffusion encryption process. Plenty of experiments and simulations demonstrate the superiority of the algorithm in terms of efficiency, security, and practical value in secure communications.

Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi.

With the development of signal processing technology, the ubiquitous Wi-Fi devices open an unprecedented opportunity to solve the challenging human gesture recognition problem by learning motion representations from wireless signals. Wi-Fi-based gesture recognition systems, although yield good performance on specific data domains, are still practically difficult to be used without explicit adaptation efforts to new domains. Various pioneering approaches have been proposed to resolve this contradiction but extra training efforts are still necessary for either data collection or model re-training when new data domains appear. To advance cross-domain recognition and achieve fully zero-effort recognition, we propose Widar3.0, a Wi-Fi-based zero-effort cross-domain gesture recognition system. The key insight of Widar3.0 is to derive and extract domain-independent features of human gestures at the lower signal level, which represent unique kinetic characteristics of gestures and are irrespective of domains. On this basis, we develop a one-fits-all general model that requires only one-time training but can adapt to different data domains. Experiments on various domain factors (i.e. environments, locations, and orientations of persons) demonstrate the accuracy of 92.7% for in-domain recognition and 82.6%-92.4% for cross-domain recognition without model re-training, outperforming the state-of-the-art solutions.

Novel method to operation conditions identification of high-order power converters.

INTRODUCTION: Intermittent solar energy causes different operational modes of power converters including continuous current modes (CCMs) and discontinuous current modes (DCMs), which need appropriate control strategies and parameters assignment to ensure the functionality of the overall solar energy power generation system. Hence, it is important to identify suitable operation modes for a high-order converter system. However, for a high-order power converter (HOPC), traditional time-domain analysis method and bifurcation analysis are inapplicable, since this requires comprehensive analysis and sophisticated control design. OBJECTIVES: To improve reliability and reduce mathematical complexity, this paper focuses on the operation mode derivation of HOPCs to well identify its boundary conditions and provide industry standards for converter applications. METHODS: With complex operation modes, 3-Z-network converter is analysed as a typical example and its derivations of boundary conditions are elaborated. In detail, the equilibrium points and boundary conditions of each operation modes are first derived; then with the guidance of boundary conditions, unexpected operation modes can be avoided by parameters reassignment. RESULTS: Simulations and experimentation on the newly established system prototype are conducted to validate the effectiveness of the proposed approach. It demonstrates that the theoretical and experimental boundary conditions are in good agreement. CONCLUSION: This paper provides equilibrium points and boundary conditions, and obtains deeper insights into the behaviors of the 3-Z-network converter. The derivations of four operation modes and the boundary condition of each mode has been conducted and provided for the large-signal averaged model of the converter, which provides guidance for engineers to adjust the system parameters so as to realize required operation modes. Simulation and experimentation have verified the accuracy and effectiveness of the proposed identified operation boundaries.

Effect of 1,25-dihydroxyvitamin D3 on mast cells tryptase in asthmatic guinea pigs.

OBJECTIVE: To explore the effect of 1,25-dihydroxyvitamin D3 on the mast cell tryptase (MCT) in asthmatic guinea pigs. METHODS: A total of 60 male or female healthy guinea pigs were randomly divided into control group (group A), asthmatic group (group B), and 1,25-dihydroxyvitamin D3 group (group C), with 20 cases in each group. To establish asthmatic guinea pig models, 1 mL peanut oil was filled into stomach in the morning in group A and group B, and 1 mL peanut oil with 1,25-dihydroxyvitamin D3 was filled into stomach in group C. Airway resistance (Re) of asthmatic guinea pigs was detected, and the bronchoalveolar lavage fluid (BALF) cells were counted. Lung tissue with HE and MCT immunohistochemical staining were used to observe the pathological changes in lung tissue and the distribution of MCT. RESULTS: After injection of different concentration of acetylcholine chloride, the Re in group B and group C were increased significantly compared with group A (P < 0.05); compared with group B, the Re in group C were decreased significantly (t = -5.385, -5.761, -6.184, -13.574, P < 0.05); the total number of BALF cells and eosinophils were increased significantly in group B and C (t = 19.618, 9.598, 10.854, 5.388, P < 0.05); compared with group B, the total number of BALF cells and eosinophils in group C was decreased significantly (t = -5.555, -5.392, P < 0.05); the number of tryptase positive cells in group B was increased significantly than that in group A (t = 21.312, P < 0.05), and in addition to the alveolar septum and submucosa, the cells were also distributed around blood vessels and outside the cells; the number of tryptase positive cells in group C was decreased significantly compared with group B, and the difference was statistically significant (t = 5.043, P < 0.05). CONCLUSIONS: After the asthmatic guinea pigs are treated with 1,25-dihydroxyvitamin D3, their BALF, Re, infiltration degree of inflammatory cells in the trachea and lung tissue and airway inflammatory reaction are reduced significantly. 1,25-dihydroxyvitamin D3 has a certain inhibiting effect on the activation of mast cells and the release of MCT granules.

Evaluation of the new anti-inflammatory compound ethyl salicylate 2-O-ß-D-glucoside and its possible mechanism of action.

Ethyl salicylate 2-O-ß-d-glucoside (ESG) is a derivative of natural salicylate isolated from Gaultheria yunnanensis (Franch.) Rehder, it has been used for the treatments of rheumatoid arthritis, swelling and pain. The aim of this study was to evaluate the anti-inflammatory effects of ESG and explore the anti-inflammatory mechanisms. We found that ESG had potent anti-inflammatory effects on the lipopolysaccharide (LPS)-activated murine macrophages RAW264.7. ESG exerted a dose-dependent inhibition of the LPS-stimulated release of the pro-inflammatory cytokines TNF-α and IL-1ß. Moreover, it significantly inhibited LPS-stimulated the production of NO and PGE2 by repressing the expression of iNOS and COX protein respectively. Western blot analysis showed that ESG prominently inhibited LPS-induced activation of NF-κB in RAW264.7 cells by blocking phosphorylation of inhibitor IκBα and p65. Consistent with these results, we found that ESG prevented the nuclear translocation of NF-κB induced by LPS. Our study suggests that ESG may be effective in the treatment of inflammatory diseases by inhibiting the pro-inflammatory cytokine production and regulating the NF-κB signal pathway.