Real-word immunogenicity of a recombinant subunit COVID-19 vaccine and effectiveness against omicron infection: a prospective, multi-centre, longitudinal cohort study in Alzheimer's disease patients (preprint)

Introduction Vaccination is an essential strategy against COVID-19 in the current era of emerging variants. This study evaluates the real-world immunogenicity and effectiveness of the recombinant subunit COVID-19 vaccine (Zifivax) in Alzheimer's disease (AD) patients.Methods 249 AD patients were enrolled in a multicentre, longitudinal cohort study. Levels of RBD-IgG, neutralization antibody activity, and cytokines were identified to evaluate the immune responses. Clinical outcomes were assessed within one month following Omicron infection..Results Following three doses, the vaccine induced a robust immune response, elevating neutralizing antibodies and activating T-cells. AD patients exhibited significantly higher humoral immune responses compared to unvaccinated counterparts. Following Omicron infection, unvaccinated patients experienced higher levels of Th1/Th2-type cytokines than vaccinated individuals. Vaccination correlated with increased survival rates and extended survival times after infection..Discussion The findings highlight the vaccine's efficacy in reducing severe illness, and preventing death in AD patients facing Omicron infection.

The Effects of Health Education on Acute Intermittent Porphyria Attacks : A Retrospective Cohort Study (preprint)

Background: Acute Intermittent Porphyria (AIP) is characterized by acute attacks of neurovisceral symptoms. Infection and negative emotions are factors that can trigger acute AIP attacks, thus avoiding these potential triggers can effectively reduce the risk of acute attacks. During the COVID-19 pandemic, online health education provides patients with a convenient and safe way to receive health education, thus effectively improving their quality of life（QoL）. We explored the effect of online health education on acute AIP attacks during the COVID-19 pandemic. Methods：This study retrospectively included 47 patients with AIP who were infected with COVID-19 and completed a questionnaire from November 2022 to March 2023. These participants were divided into two groups based on whether they had received centralized health education during COVID-19. The primary outcomes were acute AIP attacks, AIP attack severity, and QoL. Secondary outcomes were negative emotions and positive coping styles. Results: In comparison to the non-health education group, the health education group showed a significant decrease in the incidence of acute AIP attacks (P < .05), a reduction in the severity of AIP attacks (P < .05), and an improvement in QoL (P < .05). Additionally, the health education group had a significant decrease in negative emotions (P < 0.05) and a substantial increase in positive coping styles (P < 0.05). Conclusions: Health education may enhance patients' cognition and coping skills, and reduce negative emotions, thereby reducing the occurrence and severity of acute AIP attacks, and improving the patients' QoL.

Anxiety, depression and post-traumatic stress disorder and related factors among Chinese population during the COVID-19 pandemic: A cross-sectional study

The sudden outbreak of coronavirus disease 2019 (COVID-19) has deep and wide negative mental impacts on the public, and studies on the impact of COVID-19 on social and mental well-being are necessary. This study aimed to evaluate mental distress, including anxiety, depression, and post-traumatic stress disorder (PTSD), and its related risk factors in Chinese adults in the early stages of the COVID-19 pandemic. This study used a large-scale cross-sectional design. A total of 2067 adult participants completed the online survey via REDcap from 1st to 15th of March 2020 during the COVID-19 outbreak in China. Anxiety, depression, PTSD, and related risk factors, including self-efficacy, coping style, and social support, were measured using valid and reliable instruments. The data were analyzed using multiple linear regression. We found that 201 (9.7%) participants reported moderate-to-severe anxiety, 669 (33.8%) reported depression, and 368 (17.8%) reported symptoms of PTSD. Self-efficacy, coping style, and social support significantly affected anxiety, depression, and PTSD symptoms. Participants' sociodemographic characteristics, COVID-19 pandemic-related factors, low self-efficacy, low social support, and negative coping were predictors of mental distress during the COVID-19 pandemic. Our study will help healthcare professionals carry out early predictions and identification of high-risk groups and provide appropriate interventions to target groups during public health emergencies that plague the world.

Efficient selective adsorption of cytokine IL-6 and other middle-macromolecular toxins in the serum of uremia patients with specially designed porous hollow carbon spheres

Abnormally elevated middle-macromolecular toxins such as interleukin 6 (IL-6) and tumor necrosis factor alpha (TNF- α) in human blood are fatal precipitating factors for patients suffered from immune-related diseases, especially for uremia and COVID-19 critical patients, while the effective clearance of them has always been problematic in clinic. In this work, porous hollow carbon spheres (HCSs) with different size and pore structure has been successfully prepared. The removal efficiency for IL-6 in PBS solution is about 99.8%, even in the serum of uremic patients, HCSs could remove 94.75% and 98.33% of parathyroid hormone (PTH) and β2-microglobulin (β2-MG) efficiently within 5-10 min, and particularly, the adsorption of IL-6 and TNF- α is 17.6 and 11.4 times higher over that of the existing commercial hemoperfusion adsorbents. The adsorption balance can be achieved in 60 min, which would greatly shorten the current clinical treatment duration. Moreover, HCSs with different pore structure exhibit distinct adsorption selectivity for IL-6 and TNF- α, which is of special significance for modifying the middle-macromolecular cytokine level in the complicated human blood environment.

Risk assessment of global COVID-19 pandemic in June 2022

Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in June 2022 and the risk of importation.

Parents’ personality, parenting stress, and problem behaviors of children with special needs in China before and during the COVID-19 pandemic

The positive predictive effect of children’s problem behaviors on parenting stress has been verified to some extent, but research on parents of children with special needs remains insufficient. Moreover, the role of parental personality traits in the relationship between children’s problem behaviors and parenting stress, and whether it differs from before the COVID-19 pandemic, remains unclear. Accordingly, in this study, online questionnaires were used to survey parents of children with autism and intellectual disabilities in China – 337 parents before and 604 during the COVID-19 pandemic – to explore the relationship between problem behaviors in the children and parenting stress as well as the moderating effect of parents’ personality. The results showed that problem behaviors of children with autism and intellectual disabilities had a positive predictive effect on parenting stress. However, there was no significant difference in this effect before and during the pandemic. In addition, the relationship between children’s problem behaviors and parenting stress was moderated by the Agreeableness and Neuroticism of the parents, but only during COVID-19 pandemic. The research results suggest that, during the pandemic when facing problem behaviors of children with autism or intellectual disabilities, positive personality characteristics such as Agreeableness have a protective effect on parenting stress. By contrast, negative personality characteristics such as Neuroticism are risk factors. The study results provide evidence from special groups regarding the role of parents’ personalities in the parent – child interaction and the parenting stress models.

Longitudinal proteomic investigation of COVID-19 vaccination (preprint)

Although the development of COVID-19 vaccines has been a remarkable success, the heterogeneous individual antibody generation and decline over time are unknown and still hard to predict. In this study, blood samples were collected from 163 participants who next received two doses of an inactivated COVID-19 vaccine (CoronaVac) at a 28-day interval. Using TMT-based proteomics, we identified 1715 serum and 7342 peripheral blood mononuclear cells (PBMCs) proteins. We proposed two sets of potential biomarkers (seven from serum, five from PBMCs) using machine learning, and predicted the individual seropositivity 57 days after vaccination (AUC = 0.87). Based on the four PBMC's potential biomarkers, we predicted the antibody persistence until 180 days after vaccination (AUC = 0.79). Our data highlighted characteristic hematological host responses, including altered lymphocyte migration regulation, neutrophil degranulation, and humoral immune response. This study proposed potential blood-derived protein biomarkers for predicting heterogeneous antibody generation and decline after COVID-19 vaccination, shedding light on immunization mechanisms and individual booster shot planning.

Changes of serum LXA4, Card9 and PTX-3 in patients with severe acute pancreatitis and their predictive value for complicated MODS

Objective: To investigate the changes of serum lipoxin A4 (LXA4), caspase recruitment domain containing protein 9 (Card9), and pentraxin 3 (PTX-3) in patients with severe acute pancreatitis (SAP) and their predictive value of multiple organ dysfunction syndrome (MODS).

Prussian Blue@Zeolitic Imidazolate Framework Composite Toward Solar-triggered Biodecontamination

Metal-organic frameworks (MOFs) featuring composition and bandstructure diversity, are an emerging class of photoresponsive disinfectants. In this study, we demonstrated the superiority of core-shell arranged photoactive MOFs (prussian blue (PB) and zeolitic imidazolate framework (ZIF-8)) for pathogen inactivation in terms of biocidal efficiency and broad-spectrum sensitivity. Reactive oxygen species (ROS) production was significantly promoted after the integration of PB due to the photosensitization effect and initiation of in situ Fenton reaction. Favorably, another inactivation channel was also opened owing to the unique photothermal effect of PB. Attributed to the facilitated ROS intracellular penetration by heat, the composite outperforms not only individual component but anatase TiO2 in pathogen elimination. Specifically, the Staphylococcus aureus (S. aureus) inactivation efficiency of the composite (6.6 log) is 2, 1.8 and 5.1 times higher than that of PB (3.3 log), ZIF-8 (3.7 log) and TiO2 (1.3 log) over 45 min of simulated sunlight illumination. Significantly, the infectivity of Bacillus anthracis and murine coronavirus in droplets on composite-coated filter surface could be greatly reduced (approximately 3 log reduction in colony number/coronavirus titer) within few minutes of solar exposure, indicative of the great potential of MOF composites toward life-threatening microbial infection prevention.

Case report on cured COVID-19 patients with viral nucleic acid test positive in fecal specimens in Chongqing, China

The outbreak of the novel coronavirus in China (2019-nCoV) has spread to all 31 provinces in China and more than 24 countries in the world. The cure criterion was based on the negative results with respiratory specimens in real-time reverse transcription polymerise chain reaction (RT-PCR) assays with an interval of 24 hrs. This report describes the controversial viral nucleic acid test in 27 cases after hospitalization for medical treatment for various periods. Of 27 cases, 6 cases showed positive results for fecal specimen, and 2 cases showed negative results with respiratory secretion but positive with fecal specimen. In summary, the consistence of results of nucleic acid test with different type of specimens from patients infected with 2019-nCoV varied, deeper research is needed to reveal the criteria of nucleic acid detection during different stages of the 2019-nCoV infection.

The moderating effect of technology overload on the ability of online learning to meet students' basic psychological needs

Purpose>Most students are considered digital natives and are presumably equipped to handle extensive technology use. However, online learning turns students into involuntary telecommuters when it is the primary modality. The prevailing trends of online learning, digital socialization, telehealth and other online services, combined with remote work has increased students' reliance on information and communications technologies (ICTs) for all purposes, which may be overwhelming. We examine how technology overload strains the ability of online learning to meet students' basic psychological needs (BPNs), which can decrease positive outcomes such as academic enjoyment and personal performance.Design/methodology/approach>Data was collected via an online survey of 542 university students and the proposed model was tested using partial least squares (PLS) regression.Findings>We find that technology overload can diminish the positive relationship between online learning intensity and BPNs satisfaction, which is alarming because BPNs satisfaction is critical to students' positive experiences. Moreover, we find that technology overload and lack of technology experience can directly drive BPNs frustration, which decreases positive outcomes and increases academic anxiety.Originality/value>We extend a theoretical framework for telecommuting to examine online learning. Additionally, we consider the role of technology overload and experience both as drivers and as moderators of students' BPNs satisfaction and frustration in online learning. Our results provide valuable insights that can inform efforts to rebalance the deployment of ICTs to facilitate online educational experiences.

Peripheral multilingual scholars confronting epistemic exclusion in global academic knowledge production: a positive case study

The decolonization of knowledge is increasingly high on the agenda of applied and sociolinguistics. This article contributes to this agenda by examining how peripheral multilingual scholars confront their linguistic and epistemic exclusion from global knowledge production. Based on the product of such a challenge – a Chinese-centric special issue of Multilingua, a global academic Q1 journal, devoted to crisis communication during the COVID-19 pandemic and committed to furthering intercultural dialogue in research – we explore the decades-long knowledge production process behind that product and so provide a look into the “black box” of academic networking and publishing. Advocating for collaborative autoethnography as an inherently inclusive method, we focus on enabling academic and personal networks, textual scaffolding, and linguistic and epistemic brokerage. The article closes with three aspects of linguistic and epistemic citizenship that are central to inclusion, namely recognition of the value of peripheral knowledges, recognition of a collaborative ethics of care, and recognition of shared responsibility. [ FROM AUTHOR] Copyright of Multilingua is the property of De Gruyter 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.)

Plasmalogenic Lipid Analogs as Platelet-Activating Factor Antagonists: A Potential Novel Class of Anti-inflammatory Compounds.

Plasmalogens and Platelet-Activating Factor (PAF) are both bioactive ether phospholipids. Whereas plasmalogens are recognized for their important antioxidant function and modulatory role in cell membrane structure and dynamics, PAF is a potent pro-inflammatory lipid mediator known to have messenger functions in cell signaling and inflammatory response. The relationship between these two types of lipids has been rarely studied in terms of their metabolic interconversion and reciprocal modulation of the pro-inflammation/anti-inflammation balance. The vinyl-ether bonded plasmalogen lipid can be the lipid sources for the precursor of the biosynthesis of ether-bonded PAF. In this opinion paper, we suggest a potential role of plasmalogenic analogs of PAF as modulators and PAF antagonists (anti-PAF). We discuss that the metabolic interconversion of these two lipid kinds may be explored towards the development of efficient preventive and relief strategies against PAF-mediated pro-inflammation. We propose that plasmalogen analogs, acting as anti-PAF, may be considered as a new class of bioactive anti-inflammatory drugs. Despite of the scarcity of available experimental data, the competition between PAF and its natural plasmalogenic analogs for binding to the PAF receptor (PAF-R) can be proposed as a mechanistic model and potential therapeutic perspective against multiple inflammatory diseases (e.g., cardiovascular and neurodegenerative disorders, diabetes, cancers, and various manifestations in coronavirus infections such as COVID-19).

Clinical features and forecast indexes of the disease severity of SARS-CoV-2: a retrospective cohort study comparing the wild-type strain and the Delta VOC (preprint)

BackgroundA novel variant of SARS-CoV-2, the Delta variant of concern (VOC), on disease severity is very unclear. In this retrospective study, we compared the clinical characteristics and the outcomes of patients infected with the Delta VOC and with wild-type strains during the local outbreak in Xi'an and Wuhan, China.MethodsThe clinical information pertaining to the 2927 cases (between February 10 and March 8, 2020) infected with wild-type strains and the 993 cases (between December 22, 2021and February 17, 2022) infected with the Delta VOC were extracted. The clinical characteristics and outcomes were compared the cohort of wild-type infection with the cohort of Delta VOC.ResultsAmong patients younger than 18 years old, the proportion of patients infected with the Delta VOC was significantly higher than that of patients infected with wild-type strains (12.2% vs. 0.3%). In cases with mild and moderate illness, the proportion of patients was higher in the Delta VOC group than that in the wild-type strain (40.9% and 56.6% vs. 0.70% and 3.10%). However, in severe and critical patients, the proportion of patients was significantly less in the Delta VOC group than that in the wild-type strain (1.6% and 0.9% vs. 24.2% and 72.0%). In cases with severe or critical illness, and in the Delta VOC cohort or the wild-type cohort, the prognosis of patients with lymphocytes blood levels that gradually rising is good after treatment, while the prognosis of patients with lymphocytes blood levels that remain low is poor and even death(p<0.001). The Cox regression analysis revealed that the infection with the lineage of the wide-type strain had a higher risk than the Delta VOC in deteriorating to critical illness (hazards ratio 2.54[95%CI 1.279–5.026]; p = 0.008).ConclusionsUnder the two different anti-epidemic situations and anti-epidemic strategies, infection with the Delta VOC is characterized by younger patients, milder illness, and decreased risk of disease prognosis, compared with the SARS-CoV-2 wild-type lineage; lymphopenia is an effective predictor of deterioration in patients with Delta VOC and wild-type strains, calling for clinicians to understand of characteristics of them according to the different anti-epidemic situations and anti-epidemic strategies, and to guide clinical decision-making.

Synthetic Biology-Powered Biosensors Based on CRISPR/Cas Mediated Cascade Signal Amplification for Precise RNA Detection

Synthetic biology enabling technologies have been harnessed to create new diagnostic technologies. However, most strategies involve error-prone amplification steps and limitations of accuracy in RNA detection. Here, a cell-free synthetic biology-powered biosensing strategy, termed as SHARK (Synthetic Enzyme Shift RNA Signal Amplifier Related Cas13a Knockdown Reaction), could efficiently and accurately amplify RNA signal by leveraging the collateral cleavage of activated Cas13a to regulate cell-free enzyme synthesis. Based on cascade amplification and tailored enzyme output, SHARK behaves broad compatibility in different scenarios. The portable device based on SHARK was successfully used as SARS-CoV-2 biosensors with high sensitivity and selectivity, and the results were highly consistent with Ct values of qRT-PCR. In addition, when combined with machine learning, SHARK performs bio-computations and thus for cancer diagnosis and staging based on 64 clinical samples. SHARK shows characteristics of precise recognition, cascade amplification and tailored signal outputting comparisons with established assays, presenting significant potential in developing next-generation RNA detection technology.

Investigation of Anti-Epithelial-Mesenchymal Transition and Anti-Inflammation effects of Qing Fei Hua Xian Decotion on Pulmonary Fibrosis via Network Pharmacology and Experimental Verification (preprint)

Background Pulmonary fibrosis (PF) is a common interstitial pneumonia disease, also occurred in post-COVID-19 survivors. The mechanism underlying the anti-PF effect of Qing Fei Hua Xian Decotion (QFHXD), a traditional Chinese medicine formula applied for treating PF in COVID-19 survivors, is unclear. This study aimed to uncover the mechanisms related to the anti-PF effect of QFHXD through analysis of network pharmacology and experimental verification.Methods The candidate chemical compounds of QFHXD and its putative targets for treating PF were achieved from public databases, thereby we established the corresponding “herb- compound -target” network of QFHXD. Moreover, The protein–protein interaction (PPI) network of potential targets was also constructed to screen the core targets. Furthermore, Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were used to predict targets, and pathways, then validated by in vivo experiments.Results A total of 188 active compounds in QFHXD and 50 target genes were identified from databases. The key therapeutic targets of QFHXD, such as PI3K/Akt, IL-6, TNF, IL-1β, STAT3, MMP-9, and TGF-β1 were identified by KEGG and GO analysis. Anti-PF effects of QFHXD (in a dose-dependent manner) and prednisone were confirmed by HE, Masson staining, and Sirius red staining as well as in vivo Micro-CT and immunohistochemical analysis in a rat model of bleomycin-induced PF. Besides, QFXHD remarkably inhibits the activity of PI3K/Akt/NF-κB and TGF‑β1/Smad2/3.Conclusion QFXHD significantly attenuated bleomycin-induced PF via inhibiting inflammation and EMT. PI3K/Akt/NF-κB and TGF‑β1/Smad2/3 pathways might be the potential therapeutic effects of QFHXD for treating PF.

Guest Editorial Special Issue on Challenges and Responses of Automation Science and Engineering to the COVID-19 Pandemic

The COVID-19 pandemic has not only posed a significant threat to health, life, economy, and the whole society but also led to numerous new theoretical and practical challenges for automation science and engineering. The goal of this Special Issue is to bring together researchers and practitioners into a forum to show the state-of-the-art research and applications in responding to the challenges and opportunities of automation science and engineering to the pandemic, by presenting efficient scientific and engineering solutions, addressing the needs and difficulties for integration of new automation methodologies and technologies, and providing visions for future research and development. [ FROM AUTHOR] Copyright of IEEE Transactions on Automation Science & Engineering is the property of IEEE 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.)

Protein sensors combining both on-and-off model for antibody homogeneous assay.

Protein sensors based on allosteric enzymes responding to target binding with rapid changes in enzymatic activity are potential tools for homogeneous assays. However, a high signal-to-noise ratio (S/N) is difficult to achieve in their construction. A high S/N is critical to discriminate signals from the background, a phenomenon that might largely vary among serum samples from different individuals. Herein, based on the modularized luciferase NanoLuc, we designed a novel biosensor called NanoSwitch. This sensor allows direct detection of antibodies in 1 µl serum in 45 min without washing steps. In the detection of Flag and HA antibodies, NanoSwitches respond to antibodies with S/N ratios of 33-fold and 42-fold, respectively. Further, we constructed a NanoSwitch for detecting SARS-CoV-2-specific antibodies, which showed over 200-fold S/N in serum samples. High S/N was achieved by a new working model, combining the turn-off of the sensor with human serum albumin and turn-on with a specific antibody. Also, we constructed NanoSwitches for detecting antibodies against the core protein of hepatitis C virus (HCV) and gp41 of the human immunodeficiency virus (HIV). Interestingly, these sensors demonstrated a high S/N and good performance in the assays of clinical samples; this was partly attributed to the combination of off-and-on models. In summary, we provide a novel type of protein sensor and a working model that potentially guides new sensor design with better performance.

A tRNA-derived fragment from Chinese yew suppresses ovarian cancer growth via targeting TRPA1

Drug discovery from plants usually focuses on small molecules rather than such biological macromolecules as RNAs. Although plant transfer RNA (tRNA)-derived fragment (tRF) has been associated with the developmental and defense mechanisms in plants, its regulatory role in mammals remains unclear. By employing a novel reverse small interfering RNA (siRNA) screening strategy, we show that a tRF mimic (antisense derived from the 5′ end of tRNAHis(GUG) of Chinese yew) exhibits comparable anti-cancer activity with that of taxol on ovarian cancer A2780 cells, with a 16-fold lower dosage than that of taxol. A dual-luciferase reporter assay revealed that tRF-T11 directly targets the 3′ UTR of oncogene TRPA1 mRNA. Furthermore, an Argonaute-RNA immunoprecipitation (AGO-RIP) assay demonstrated that tRF-T11 can interact with AGO2 to suppress TRPA1 via an RNAi pathway. This study uncovers a new role of plant-derived tRFs in regulating endogenous genes. This holds great promise for exploiting novel RNA drugs derived from nature and sheds light on the discovery of unknown molecular targets of therapeutics. Graphical

Training for mental health professionals in responding to experienced and anticipated mental health related discrimination (READ-MH): protocol for an international multisite feasibility study (preprint)

Background: Mental health and other health professionals working in mental health care may contribute to the experiences of stigma and discrimination among mental health service users, but can also help reduce the impact of stigma on service users. However the few studies of interventions to equip such professionals to be anti-stigma agents those took place in High-Income Countries. This study assesses the feasibility, potential effectiveness and costs of Responding to Experienced and Anticipated Discrimination training for health professionals working in mental health care (READ-MH) across Low- and Middle-Income Countries (LMICs). Methods: This is an uncontrolled pre-post mixed methods feasibility study of READ-MH training at seven sites across five LMICs (China, Ethiopia, India, Nepal, and Tunisia). Outcome measures: knowledge based on course content; attitudes to working to address the impact of stigma on service users; and skills in responding constructively to service users’ reports of discrimination. The training draws upon the evidence bases for stigma reduction, health advocacy and medical education and is tailored to sites through situational analyses. Its content, delivery methods and intensity were agreed through a consensus exercise with site research teams. READ-MH will be delivered to health professionals working in mental health care immediately after baseline data collection; outcome measures will be collected post-training and three months post-baseline, followed by qualitative data collection. Fidelity will be rated during delivery of READ-MH, and data on training costs will be collected. Quantitative data will be assessed using generalised linear mixed models. Qualitative data will be evaluated by thematic analysis to identify feedback about the training methods and content, including the implementability of the knowledge and skills learned. Pooled and site-specific training costs per trainee and per session will be reported.Conclusions: The training development used a participatory and contextualized approach. Evaluation design strengths include the diversity of settings; the use of mixed methods; the use of a skills-based measure; and knowledge and attitude measures aligned to the target population and training. Limitations are the uncertain generalisability of skills performance to routine care, and the impact of COVID-19 restrictions at several sites limiting qualitative data collection for situational analyses.