Respiratory immune status and microbiome in recovered COVID-19 patients revealed by metatranscriptomic analyses.

Coronavirus disease 2019 (COVID-19) is currently a severe threat to global public health, and the immune response to COVID-19 infection has been widely investigated. However, the immune status and microecological changes in the respiratory systems of patients with COVID-19 after recovery have rarely been considered. We selected 72 patients with severe COVID-19 infection, 57 recovered from COVID-19 infection, and 65 with non-COVID-19 pneumonia, for metatranscriptomic sequencing and bioinformatics analysis. Accordingly, the differentially expressed genes between the infected and other groups were enriched in the chemokine signaling pathway, NOD-like receptor signaling pathway, phagosome, TNF signaling pathway, NF-kappa B signaling pathway, Toll-like receptor signaling pathway, and C-type lectin receptor signaling pathway. We speculate that IL17RD, CD74, and TNFSF15 may serve as disease biomarkers in COVID-19. Additionally, principal coordinate analysis revealed significant differences between groups. In particular, frequent co-infections with the genera Streptococcus, Veillonella, Gemella, and Neisseria, among others, were found in COVID-19 patients. Moreover, the random forest prediction model with differential genes showed a mean area under the curve (AUC) of 0.77, and KCNK12, IL17RD, LOC100507412, PTPRT, MYO15A, MPDZ, FLRT2, SPEG, SERPINB3, and KNDC1 were identified as the most important genes distinguishing the infected group from the recovered group. Agrobacterium tumefaciens, Klebsiella michiganensis, Acinetobacter pittii, Bacillus sp. FJAT.14266, Brevundimonas naejangsanensis, Pseudopropionibacterium propionicum, Priestia megaterium, Dialister pneumosintes, Veillonella rodentium, and Pseudomonas protegens were selected as candidate microbial markers for monitoring the recovery of COVID patients. These results will facilitate the diagnosis, treatment, and prognosis of COVID patients recovering from severe illness.

Linear spot Raman detector for the bi-channel immunochromatographic assay to simultaneously detect respiratory viruses

The rapid and accurate measurement of Raman signals on the test line (T-line) of surface-enhanced Raman scattering immunochromatography assay (SERS-ICA) strip is necessary for on-site detection based on SERS. Here, a novel linear spot Raman detector which can directly collect the SERS signals of the whole T-line on the dual-diagnostic SERS-ICA strip is developed for detection of multiple respiratory viruses via two magnetic SERS tags within 26min. The tags modified with two Raman reporter molecules can specifically recognize two viruses, thus enabling the simultaneous detection of both viruses on one T-line. Measured by the linear Raman detector, the limits of detection of the proposed dual-diagnostic SERS-ICA strip is as low as 870 and 263 copies/mL for severe acute respiratory syndrome coronavirus 2 and H1N1, respectively. The dual-diagnostic strip combined with the novel Raman detector herein are of great importance in the differential diagnosis of respiratory pathogens and show potential in the rapid and accurate diagnosis and control of emerging acute respiratory diseases.

The impact of adolescents' health motivation on the relationship among mental stress, physical exercise, and stress symptoms during COVID-19: A dual moderation model.

Objective: Many Chinese teenagers are experiencing high mental stress levels due to epidemic-related restrictions and closures. Mental stress can induce numerous associated symptoms, and physical exercise is considered to buffer mental stress. However, it remains unclear whether health motivation regulates the relationships among mental stress, physical exercise, and stress symptoms. This study examined whether mental stress events during the epidemic can predict stress symptoms, whether physical exercise can buffer mental stress, and whether the mental stress buffer effect is enhanced when health motivation regarding physical exercise is high. Methods: In total, 2,420 junior high school students (1,190 boys and 1,230 girls; 826 seventh-grade students, 913 eighth-grade students, and 681 ninth-grade students) from nine provinces nationwide were selected to investigate mental stress events, symptoms, health motivation, and physical exercise in adolescents. The hypothesis was tested with a multiple regression analysis. Results: A positive relationship between adolescent mental stress events and stress symptoms was observed, and an interactive relationship was found among health motivation, physical exercise, and mental stress factors. Specifically, the mental stress-buffering effect of physical exercise was significant only when health motivation was high. Conclusion: In the post-epidemic period, the influence of mental stress events on stress symptoms in adolescents was found to be buffered by physical exercise only in terms of high health motivation. This result highlighted the role of health motivation in the buffering effect of physical exercise on mental stress during an epidemic.

Challenges and response to pandemics as seen in a One Health perspective

The global pandemic caused by the coronavirus disease 2019 not only exposed the fragility of global preparedness and response to public health emergence, but also illustrated the fragmentation and gaps of research and development ecosystem. This emphasizes the need for planned actions against the potentiality of new pandemics and requires research to better understand how viruses bridge the animal/human divide making human-to-human transmission of new diseases possible. Major challenges to response to new epidemics under the current health framework reside in the so called 4-CC approach that focuses on Concept, Communication, Coherence, and Continuity. There is a need to also add a One Health perspective with emphasis on governance, surveillance, capacity building and multi-disciplinary research to achieve a holistic and better integrated system. Using a regulatory framework to equip professionals might facilitate the function of a multi-sector approach that recognizes the value of their mandates and a One Health approach in their work. Collaborative, multisectoral actions under the global regulations and guidance would make evidence-based One Health approaches sustainable and accessible to everyone.

Assessment of integrated patterns of human-animal-environment health: a holistic and stratified analysis.

BACKGROUND: Data-driven research is a very important component of One Health. As the core part of the global One Health index (GOHI), the global One Health Intrinsic Drivers index (IDI) is a framework for evaluating the baseline conditions of human-animal-environment health. This study aims to assess the global performance in terms of GOH-IDI, compare it across different World Bank regions, and analyze the relationships between GOH-IDI and national economic levels. METHODS: The raw data among 146 countries were collected from authoritative databases and official reports in November 2021. Descriptive statistical analysis, data visualization and manipulation, Shapiro normality test and ridge maps were used to evaluate and identify the spatial and classificatory distribution of GOH-IDI. This paper uses the World Bank regional classification and the World Bank income groups to analyse the relationship between GOH-IDI and regional economic levels, and completes the case studies of representative countries. RESULTS: The performance of One Health Intrinsic Driver in 146 countries was evaluated. The mean (standard deviation, SD) score of GOH-IDI is 54.05 (4.95). The values (mean SD) of different regions are North America (60.44, 2.36), Europe and Central Asia (57.73, 3.29), Middle East and North Africa (57.02, 2.56), East Asia and Pacific (53.87, 5.22), Latin America and the Caribbean (53.75, 2.20), South Asia (52.45, 2.61) and sub-Saharan Africa (48.27, 2.48). Gross national income per capita was moderately correlated with GOH-IDI (R2 = 0.651, Deviance explained = 66.6%, P < 0.005). Low income countries have the best performance in some secondary indicators, including Non-communicable Diseases and Mental Health and Health risks. Five indicators are not statistically different at each economic level, including Animal Epidemic Disease, Animal Biodiversity, Air Quality and Climate Change, Land Resources and Environmental Biodiversity. CONCLUSIONS: The GOH-IDI is a crucial tool to evaluate the situation of One Health. There are inter-regional differences in GOH-IDI significantly at the worldwide level. The best performing region for GOH-IDI was North America and the worst was sub-Saharan Africa. There is a positive correlation between the GOH-IDI and country economic status, with high-income countries performing well in most indicators. GOH-IDI facilitates researchers' understanding of the multidimensional situation in each country and invests more attention in scientific questions that need to be addressed urgently.

Microbiology and immune mechanisms associated with male infertility.

Up to 50% of infertility is caused by the male side. Varicocele, orchitis, prostatitis, oligospermia, asthenospermia, and azoospermia are common causes of impaired male reproductive function and male infertility. In recent years, more and more studies have shown that microorganisms play an increasingly important role in the occurrence of these diseases. This review will discuss the microbiological changes associated with male infertility from the perspective of etiology, and how microorganisms affect the normal function of the male reproductive system through immune mechanisms. Linking male infertility with microbiome and immunomics can help us recognize the immune response under different disease states, providing more targeted immune target therapy for these diseases, and even the possibility of combined immunotherapy and microbial therapy for male infertility.

On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19.

In a systematic review of a diagnostic performance, summarizing performance metrics is crucial. There are various summary models in the literature, and hence model selection becomes inevitable. However, most existing large-sample-based model selection approaches may not fit in a meta-analysis of diagnostic studies, typically having a rather small sample size. Researchers need to effectively determine the final model for further inference, which motivates this article to investigate existing methods and to suggest a more robust method for this need. We considered models covering several widely-used methods for bivariate summary of sensitivity and specificity. Simulation studies were conducted based on different number of studies and different population sensitivity and specificity. Then final models were selected using several existing criteria, and we compared the summary receiver operating characteristic (sROC) curves to the theoretical ROC curve given the generating model. Even though parametric likelihood-based criteria are often applied in practice for their asymptotic property, they fail to consistently choose appropriate models under the limited number of studies. When the number of studies is as small as 10 or 5, our suggestion is best in different scenarios. An example for summary ROC curves for chemiluminescence immunoassay (CLIA) used in COVID-19 diagnosis is also illustrated.

The change of clinical features and surgical outcomes in patients with pressure injury during the COVID-19 pandemic.

This retrospective study aims to explore whether the COVID-19 pandemic altered patient conditions and surgery outcomes by studying 213 pressure injury (PI) patients who underwent surgery during 2016 to 2019 (pre-COVID) and 2020 to 2021 (COVID) in Taiwan. We extracted patient demographics, surgical and blood test records, preoperative vital signs, and flap surgery outcomes. In total, 464 surgeries were performed, including 308 pre-COVID and 156 COVID. During the COVID period, there were more patients presenting with dementia, and it had significantly more patients with >12 000 white blood cells/µL (24.03% vs 15.59%, P = 0.029), higher C-reactive protein levels (7.13 ± 6.36 vs 5.58 ± 5.09 mg/dL, P = 0.014), pulse rates (86.67 ± 14.76 vs 81.26 ± 13.66 beats/min, P < 0.001), and respiratory rates (17.87 ± 1.98 vs 17.31 ± 2.39 breaths/min, P = 0.009) but lower haemoglobin levels (9.75 ± 2.02 vs 10.43 ± 1.67 mg/dL, P < 0.001) preoperatively. There were no between-group differences in flap surgery outcomes but had fewer flap surgeries during COVID-19. Thus, PI patient condition was generally poor during the COVID-19 pandemic because of reduced access to medical treatment; this problem may be resolved through holistic care during a future pandemic or pandemic-like situation.

Bidirectional Data-Driven Trajectory Prediction for Intelligent Maritime Traffic

Intelligent maritime transportation is one of the most promising enabling technologies for promoting trade efficiency and releasing the physical labor force. The trajectory prediction method is the foundation to guarantee collision avoidance and route optimization for ship transportation. This article proposes a bidirectional data-driven trajectory prediction method based on Automatic Identification System (AIS) spatio-temporal data to improve the accuracy of ship trajectory prediction and reduce the risk of accidents. Our study constructs an encoder-decoder network driven by a forward and reverse comprehensive historical trajectory and then fuses the characteristics of the sub-network to predict the ship trajectory. The AIS historical trajectory data of US West Coast ships are employed to investigate the feasibility of the proposed method. Compared with the current methods, the proposed approach lessens the prediction error by studying the comprehensive historical trajectory, and 60.28% has reduced the average prediction error. The ocean and port trajectory data are analyzed in maritime transportation before and after COVID-19. The prediction error in the port area is reduced by 95.17% than the data before the epidemic. Our work helps the prediction of maritime ship trajectory, provides valuable services for maritime safety, and performs detailed insights for the analysis of trade conditions in different sea areas before and after the epidemic.

Bivalent intra-spike binding provides durability against emergent Omicron lineages: Results from a global consortium.

The SARS-CoV-2 Omicron variant of concern (VoC) and its sublineages contain 31-36 mutations in spike and escape neutralization by most therapeutic antibodies. In a pseudovirus neutralization assay, 66 of the nearly 400 candidate therapeutics in the Coronavirus Immunotherapeutic Consortium (CoVIC) panel neutralize Omicron and multiple Omicron sublineages. Among natural immunoglobulin Gs (IgGs), especially those in the receptor-binding domain (RBD)-2 epitope community, nearly all Omicron neutralizers recognize spike bivalently, with both antigen-binding fragments (Fabs) simultaneously engaging adjacent RBDs on the same spike. Most IgGs that do not neutralize Omicron bind either entirely monovalently or have some (22%-50%) monovalent occupancy. Cleavage of bivalent-binding IgGs to Fabs abolishes neutralization and binding affinity, with disproportionate loss of activity against Omicron pseudovirus and spike. These results suggest that VoC-resistant antibodies overcome mutagenic substitution via avidity. Hence, vaccine strategies targeting future SARS-CoV-2 variants should consider epitope display with spacing and organization identical to trimeric spike.

Respiratory immune status and microbiome in recovered COVID-19 patients revealed by metatranscriptomic analyses

Coronavirus disease 2019 (COVID-19) is currently a severe threat to global public health, and the immune response to COVID-19 infection has been widely investigated. However, the immune status and microecological changes in the respiratory systems of patients with COVID-19 after recovery have rarely been considered. We selected 72 patients with severe COVID-19 infection, 57 recovered from COVID-19 infection, and 65 with non-COVID-19 pneumonia, for metatranscriptomic sequencing and bioinformatics analysis. Accordingly, the differentially expressed genes between the infected and other groups were enriched in the chemokine signaling pathway, NOD-like receptor signaling pathway, phagosome, TNF signaling pathway, NF-kappa B signaling pathway, Toll-like receptor signaling pathway, and C-type lectin receptor signaling pathway. We speculate that IL17RD, CD74, and TNFSF15 may serve as disease biomarkers in COVID-19. Additionally, principal coordinate analysis revealed significant differences between groups. In particular, frequent co-infections with the genera Streptococcus, Veillonella, Gemella, and Neisseria, among others, were found in COVID-19 patients. Moreover, the random forest prediction model with differential genes showed a mean area under the curve (AUC) of 0.77, and KCNK12, IL17RD, LOC100507412, PTPRT, MYO15A, MPDZ, FLRT2, SPEG, SERPINB3, and KNDC1 were identified as the most important genes distinguishing the infected group from the recovered group. Agrobacterium tumefaciens, Klebsiella michiganensis, Acinetobacter pittii, Bacillus sp. FJAT.14266, Brevundimonas naejangsanensis, Pseudopropionibacterium propionicum, Priestia megaterium, Dialister pneumosintes, Veillonella rodentium, and Pseudomonas protegens were selected as candidate microbial markers for monitoring the recovery of COVID patients. These results will facilitate the diagnosis, treatment, and prognosis of COVID patients recovering from severe illness.

Towards a global One Health index: a potential assessment tool for One Health performance.

BACKGROUND: A One Health approach has been increasingly mainstreamed by the international community, as it provides for holistic thinking in recognizing the close links and inter-dependence of the health of humans, animals and the environment. However, the dearth of real-world evidence has hampered application of a One Health approach in shaping policies and practice. This study proposes the development of a potential evaluation tool for One Health performance, in order to contribute to the scientific measurement of One Health approach and the identification of gaps where One Health capacity building is most urgently needed. METHODS: We describe five steps towards a global One Health index (GOHI), including (i) framework formulation; (ii) indicator selection; (iii) database building; (iv) weight determination; and (v) GOHI scores calculation. A cell-like framework for GOHI is proposed, which comprises an external drivers index (EDI), an intrinsic drivers index (IDI) and a core drivers index (CDI). We construct the indicator scheme for GOHI based on this framework after multiple rounds of panel discussions with our expert advisory committee. A fuzzy analytical hierarchy process is adopted to determine the weights for each of the indicators. RESULTS: The weighted indicator scheme of GOHI comprises three first-level indicators, 13 second-level indicators, and 57 third-level indicators. According to the pilot analysis based on the data from more than 200 countries/territories the GOHI scores overall are far from ideal (the highest score of 65.0 out of a maximum score of 100), and we found considerable variations among different countries/territories (31.8-65.0). The results from the pilot analysis are consistent with the results from a literature review, which suggests that a GOHI as a potential tool for the assessment of One Health performance might be feasible. CONCLUSIONS: GOHI-subject to rigorous validation-would represent the world's first evaluation tool that constructs the conceptual framework from a holistic perspective of One Health. Future application of GOHI might promote a common understanding of a strong One Health approach and provide reference for promoting effective measures to strengthen One Health capacity building. With further adaptations under various scenarios, GOHI, along with its technical protocols and databases, will be updated regularly to address current technical limitations, and capture new knowledge.

Optimal control strategies of SARS-CoV-2 Omicron supported by invasive and dynamic models.

BACKGROUND: There is a raising concern of a higher infectious Omicron BA.2 variant and the latest BA.4, BA.5 variant, made it more difficult in the mitigation process against COVID-19 pandemic. Our study aimed to find optimal control strategies by transmission of dynamic model from novel invasion theory. METHODS: Based on the public data sources from January 31 to May 31, 2022, in four cities (Nanjing, Shanghai, Shenzhen and Suzhou) of China. We segmented the theoretical curves into five phases based on the concept of biological invasion. Then, a spatial autocorrelation analysis was carried out by detecting the clustering of the studied areas. After that, we choose a mathematical model of COVID-19 based on system dynamics methodology to simulate numerous intervention measures scenarios. Finally, we have used publicly available migration data to calculate spillover risk. RESULTS: Epidemics in Shanghai and Shenzhen has gone through the entire invasion phases, whereas Nanjing and Suzhou were all ended in the establishment phase. The results indicated that Rt value and public health and social measures (PHSM)-index of the epidemics were a negative correlation in all cities, except Shenzhen. The intervention has come into effect in different phases of invasion in all studied cities. Until the May 31, most of the spillover risk in Shanghai remained above the spillover risk threshold (18.81-303.84) and the actual number of the spillovers (0.94-74.98) was also increasing along with the time. Shenzhen reported Omicron cases that was only above the spillover risk threshold (17.92) at the phase of outbreak, consistent with an actual partial spillover. In Nanjing and Suzhou, the actual number of reported cases did not exceed the spillover alert value. CONCLUSIONS: Biological invasion is positioned to contribute substantively to understanding the drivers and mechanisms of the COVID-19 spread and outbreaks. After evaluating the spillover risk of cities at each invasion phase, we found the dynamic zero-COVID strategy implemented in four cities successfully curb the disease epidemic peak of the Omicron variant, which was highly correlated to the way to perform public health and social measures in the early phases right after the invasion of the virus.

Bidirectional Data-Driven Trajectory Prediction for Intelligent Maritime Traffic

Intelligent maritime transportation is one of the most promising enabling technologies for promoting trade efficiency and releasing the physical labor force. The trajectory prediction method is the foundation to guarantee collision avoidance and route optimization for ship transportation. This article proposes a bidirectional data-driven trajectory prediction method based on Automatic Identification System (AIS) spatio-temporal data to improve the accuracy of ship trajectory prediction and reduce the risk of accidents. Our study constructs an encoder-decoder network driven by a forward and reverse comprehensive historical trajectory and then fuses the characteristics of the sub-network to predict the ship trajectory. The AIS historical trajectory data of US West Coast ships are employed to investigate the feasibility of the proposed method. Compared with the current methods, the proposed approach lessens the prediction error by studying the comprehensive historical trajectory, and 60.28% has reduced the average prediction error. The ocean and port trajectory data are analyzed in maritime transportation before and after COVID-19. The prediction error in the port area is reduced by 95.17% than the data before the epidemic. Our work helps the prediction of maritime ship trajectory, provides valuable services for maritime safety, and performs detailed insights for the analysis of trade conditions in different sea areas before and after the epidemic.

Mental health problems of preschool children during the COVID-19 home quarantine: A cross-sectional study in Shanghai, China.

Objective: As the coronavirus disease 2019 (COVID-19) pandemic spread across Shanghai, China, in late February 2022 and protective measures to mitigate its impact were enacted, this study aimed to estimate how home quarantine affected the mental health of preschool children in Shanghai, China and explore the association between lifestyle factors and mental health during this special period. Methods: A cross-sectional online survey of 2,110 preschool students from Shanghai, China, was conducted during May 20-25,2022. Preschooler' mental health (Strengths and Difficulties Questionnaire, SDQ) and daily activities were reported by parents. Results: The sample involved 2,110 children with a mean age of 4.65 years [standard deviation (SD): 0.91, range: 3-6 years]. Boys and children whose mother's education level were college and high school had higher rate of mental health problems. Boys had significantly higher rates of peer problems and prosocial behaviors than girls. The 3-year-old group had significantly higher rates of prosocial behaviors than other groups. As compared to the Shanghai norm and the SDQ results of preschool children in Shanghai in 2019 (SH2019), there were a significant decrease in emotional symptoms score, as well as a significant increase in conduct problems score. Additionally, peer problems score significantly increased compared to SH2019. Decreased time spent on daily sleep was associated with the increased risk for preschoolers' mental health problems. Conclusion: There was an increase in the frequency of emotional and behavioral problems, especially regarding conduct problems and peer problems, in preschool children during the COVID-19 home quarantine in Shanghai, China. Boys, younger preschool children and children whose mother's education level were college and high school may be especially vulnerable to emotional and behavioral problems. It was also found that decreased time spent on sleep may aggravate preschool children's mental health problems. It may be beneficial to differentiate and focus on conducting psychoeducation and implementing psycho-behavioral interventions to solve these issues.

Efficacy and safety profile of two-dose SARS-CoV-2 vaccines in cancer patients: An observational study in China.

BACKGROUND: The new coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has produced a global pandemic of coronavirus disease 2019 (COVID-19), resulting in modifications to public health policies on a universal scale. SARS-CoV-2 vaccine has evolved as the most effective and secure way for protecting healthy individuals against COVID-19. Patients with cancer were excluded from clinical trials due to their increased COVID-19 risk and current immunosuppressing therapy. Safety and effectiveness evidence is insufficient for SARS-CoV-2 vaccination in cancer patients. AIM: To assess the efficacy and safety of two-dose SARS-CoV-2 vaccines in cancer patients. METHODS: A multicenter observational study was performed at ten Chinese hospitals between January 1, 2021 and December 31, 2021. Each participant in the research received two doses of vaccination. A total of 215 healthy people were screened and 132 eligible patients with cancer were recruited. In order to verify the safety of the second dose of the vaccine, a side-effect report was compiled. Two weeks following the second vaccination dose, subjects underwent an analogous questionnaire survey. Utilizing a magnetic particle-based chemiluminescence immunoassay, serum levels of anti-SARS-CoV-2 immunoglobulin G (IgG) antibodies were measured to determine the effectiveness of vaccination. IgG levels ≥ 10 AU/mL were considered seropositive. RESULTS: All the 347 eligible patients completed the follow-up, and anti-SARS-CoV-2 IgG antibodies were detected. Local pain at the injection location was the most common side effect mentioned by all responders, with an increased incidence in cancer patients than the healthy people after the second dose vaccine (17.2% vs 9.1%; P = 0.035). There was no significant difference in headache, urticaria, or other adverse reactions between patients with cancer and healthy people. In the group of cancer patients, the seropositivity incidence was 83.3%, while it was 96.3% in the group of healthy people. In the group of cancer patients, the seropositivity incidence and antibody levels were significantly lower (P < 0.001). This analysis showed a poorer response rate in patients on active immunosuppressive treatment and elderly cancer patients. CONCLUSION: Two-dose Chinese vaccines are effective and safe in cancer patients. However, further research is required on the efficacy in elderly cancer patients and those on active immunosuppressive treatment.

Dual Roles of Tumor Necrosis Factor Superfamily 14 in Antiviral Immunity.

Tumor necrosis factor superfamily 14 (TNFSF14) (LIGHT) is an interesting costimulatory molecule associated with T lymphocyte activation, and it mainly exerts its biological effects by binding to its receptors herpesvirus invasion mediator (HVEM) and lymphotoxin-ß receptor. Research shows that TNFSF14 plays a critical regulatory role in immune responses to viral infection, but its role is different in different diseases. TNFSF14 can be a cytokine neutralization target during novel coronavirus infection, and anti-TNFSF14 monoclonal antibody treatment can reduce the risk of respiratory failure and mortality. When the host is infected with adenovirus, TNFSF14 can be used as an inflammatory biomarker to indicate whether there was an adenovirus infection in the host and the degree of disease caused by viral infection. When hosts suffer influenza virus infection, the TNFSF14-HVEM signaling pathway can stimulate the maturation and proliferation of memory CD8+ T cells, which helps the host immune system stimulate a second immune response against respiratory virus infection. TNFSF14 can act as an immune adjuvant and enhance the immunogenicity of the human papillomavirus (HPV) DNA vaccine when the host is infected with HPV. During hepatitis virus infection, TNFSF14 acts as a proinflammatory factor, participates in inflammation and causes tissue damage. In conclusion, TNFSF14 plays different and significant roles in diverse viral infections. This article reviews the current research on TNFSF14 in antiviral immunity.

Ecology of Middle East respiratory syndrome coronavirus, 2012-2020: A machine learning modelling analysis.

The ongoing enzootic circulation of the Middle East respiratory syndrome coronavirus (MERS-CoV) in the Middle East and North Africa is increasingly raising the concern about the possibility of its recombination with other human-adapted coronaviruses, particularly the pandemic SARS-CoV-2. We aim to provide an updated picture about ecological niches of MERS-CoV and associated socio-environmental drivers. Based on 356 confirmed MERS cases with animal contact reported to the WHO and 63 records of animal infections collected from the literature as of 30 May 2020, we assessed ecological niches of MERS-CoV using an ensemble model integrating three machine learning algorithms. With a high predictive accuracy (area under receiver operating characteristic curve = 91.66% in test data), the ensemble model estimated that ecologically suitable areas span over the Middle East, South Asia and the whole North Africa, much wider than the range of reported locally infected MERS cases and test-positive animal samples. Ecological suitability for MERS-CoV was significantly associated with high levels of bareland coverage (relative contribution = 30.06%), population density (7.28%), average temperature (6.48%) and camel density (6.20%). Future surveillance and intervention programs should target the high-risk populations and regions informed by updated quantitative analyses.

Prevalence, bio-serotype, antibiotic susceptibility and genotype of Yersinia enterocolitica and other Yersinia species isolated from retail and processed meats in Shaanxi Province, China

This study characterized Yersinia enterocolitica and other Yersinia spp. isolated from retail and processed meats sampled in Yangling, Shaanxi Province, China (2018–2019). The detection rate of Yersinia -positive samples was 14.30% (86/600). Yersinia was commonly prevalent in beefs (32.00%), frozen meats (25.00%), packaged meats (21.65%), and meats from supermarkets (17.23%). Y. enterocolitica was identified as the most prevalent species (50.00%, 62/124), followed by Y. frederiksenii (24.19%), Y. intermedia (16.94%), and Y. kristensenii (8.87%). Most Y. enterocolitica isolates were of bio-serotype 1A/nt (67.74%). Sixty-three isolates (50.81%) carried yst B and two isolates (1.61%) carried rfb C. Yersinia isolates were commonly resistant to ampicillin (91.94%), cefazolin (71.77%), amoxicillin/clavulanic acid (56.45%), cefoxitin (28.23%), and trimethoprim/sulfamethoxazole (1.61%). Sixty-six isolates (53.23%) were resistant to three or more antibiotics. Pulse field gel electrophoresis analysis revealed that the genetic homology of Yersinia isolates between pork, beef, and chicken was low, as was that of biotype 1A isolates. The results indicate that Y. enterocolitica and other Yersinia spp. (especially bio-serotype 1A/nt, ampicillin-resistant, and yst B-carrying strains) are prevalent in retail and processed meats in the study area, which provides valuable baseline data for food safety and public health safeguarding. • Yersinia spp. with different characteristics were prevalent in retail meat. • Yersinia enterocolitica was the most commonly detected species. • Yersinia enterocolitica biotype 1A isolates carried gene yst B and resisted multiple antibiotics. • The genetic relationship of Yersinia isolates between pork, beef, and chicken was diverse. [ FROM AUTHOR] Copyright of LWT - Food Science & Technology is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)