Engineered Migrasomes: A Robust, Thermally Stable Vaccination Platform (preprint)

The burgeoning abilities of pathogens and tumor cells to evade immune responses underscore the urgent need for innovative vaccination platforms based on a variety of biological mechanisms. The current logistical challenges associated with cold-chain (i.e. low-temperature) transportation particularly impacts access to vaccines in the global south. We recently discovered organelles called migrasomes, and herein we investigate the potential of migrasomes as an alternative vaccination platform. Their inherent stability and their enrichment with immune-modulating molecules make migrasomes promising candidates, but their low yield presents a hurdle. We address this problem through our engineered migrasome-like vesicles (eMigrasomes), which emulate the biophysical attributes of natural migrasomes with substantially improved yield. We show that eMigrasomes loaded with a model antigen elicit potent antibody responses and maintain stability at room temperature. We demonstrate that eMigrasomes bearing the SARS-CoV-2 Spike protein induce robust humoral protection against the virus. Our study demonstrates the potential of eMigrasome-based vaccines as a unique, robust, and accessible alternative to traditional methods.

Epileptic seizure and electroencephalographic characteristics of adult COVID-19 inpatients during the Omicron outbreak in China: a single center retrospective study (preprint)

Background This retrospective analysis assessed the characteristics of epileptic seizure and continuous electroencephalogram (CEEG) data in hospitalized patients diagnosed with COVID-19 during the Omicron outbreak.Methods CEEG was performed in 28 patients, with 17 showing unexplained altered mental status and 11 suspected of having seizures. Demographic and clinical variables, imaging results, outcomes, and comorbidities were collected.Results In total, 1,405 patients with COVID-19 infection were admitted during the study period. The proportion of patients who required intensive care unit (ICU) care and the in-hospital mortality was 16.3% and 7.8%, respectively. Among patients who underwent CEEG monitoring, 11 were in ICU, and 17 were in regular wards. Of these, 8 patients (28.5%) had severe COVID-19, whereas 6 had acute neuroimaging findings. EEG findings were not specific, with 7 patients (25%) having normal EEG results. Furthermore, 11 (39.3%) had benign EEG alterations, 6 (21.4%) had malignant, and 4 (14.3%) had highly malignant. Six patients exhibited epileptiform abnormalities, including 1 with a prior epilepsy history. Moreover, 4 patients experienced electrographic seizures, with 2 manifesting as epilepsia partialis continua and 2 as nonconvulsive status epilepticus. Periodic and rhythmic patterns were observed in 2 patients, spike-and-wave in 1 patient and generalized rhythmic delta activity in another patient. EEG attenuation without reactivity was seen in 4 patients.Conclusions Seizures can manifest as early symptoms in individuals infected with the Omicron variant of COVID-19. Despite the increased contagiousness associated with Omicron, we observed a higher prevalence of normal EEG results. This suggested that the Omicron variant may be associated with a lower likelihood of causing encephalitis or encephalopathy compared to other variants.

Effectiveness of Traditional Chinese Medicine on coronavirus disease 2019 in 92 patients: a retrospective study.

OBJECTIVE: To investigate the antipyretic effect of early treatment with Traditional Chinese Medicine (TCM) on coronavirus disease 2019 (COVID-19) patients. METHODS: We retrospectively analyzed 369 patients from January 26th, 2020 to April 15th, 2020, who had been diagnosed with COVID-19. Among 92 eligible cases, 45 cases were identified as treatment group Ⅰ ( 45) and 47 cases were identified as treatment group Ⅱ. Patients in the treatment group Ⅰ were treated with TCM herbal decoction within 5 d after admission. Patients in the treatment group Ⅱ were treated with TCM herbal decoction after the 6th admission day. The onset time of antipyretic effect, the antipyretic time, the time of negative oropharyngeal swab nucleic acid conversion, and the changes of cell count in blood routine test were compared. RESULTS: The treatment group I showed shorter average antipyretic duration (4 7 d; <0.05), and shorter average time for polymerase chain reaction (PCR) nucleic acid test results to turn negative (7 11 d; <0.05) than the treatment group II. For patients ( 54) with body temperature>38 ℃, patients in the treatment group I had shorter median onset time of antipyretic effect than those in the treatment group II (3 4 d; <0.05). The absolute lymphocyte (LYMPH) count and absolute eosinophil (EOS) count on the 3rd day after admission and the neutrophil/lymphocyte ratio on the 6th day after admission of patients in the treatment group I were notably different from those in the treatment group II at the same time point (0.05). Based on Spearman's rank correlation analysis, the change of body temperature on the 3rd day after admission was positively correlated with the increase of EOS count and the increase of EOS count and LYMPH counts on the 6th day after admission (0.01). CONCLUSIONS: Early TCM intervention within 5 d after hospital admission shortened the onset time of antipyretic effect and fever duration of COVID-19 patients, reduced the time required for PCR test results to turn negative. Moreover, early TCM intervention also improved the results of inflammatory markers for COVID-19 patients. LYMPH and EOS counts can be used as indicators of TCM antipyretic effect.

Ambient fine particulate matter and ozone pollution in China: synergy in anthropogenic emissions and atmospheric processes

Since 2013, China has taken a series of actions to relieve serious PM2.5 pollution. As a result, the annual PM2.5 concentration decreased by more than 50% from 2013 to 2021. However, ozone pollution has become more pronounced, especially in the North China Plain. Here, we review the impacts of anthropogenic emissions, meteorology, and atmospheric processes on ambient PM2.5 loading and components and O3 pollution in China. The reported influence of interannual meteorological changes on PM2.5 and O3 pollution during 2013–2019 ranged from 10%–20% and 20%–40%, respectively. During the same period, the anthropogenic emissions of NOx, SO2, primary PM2.5, NMVOC and NH3 are estimated to decrease by 38%, 51%, 35%, 11% and 17%, respectively. Such emission reduction is the main cause for the decrease in PM2.5 concentration across China. However, the imbalanced reductions in various precursors also result in the variation in nitrate gas-particle partitioning and hence an increase in the nitrate fraction in PM2.5. The increase of ozone concentration and the enhancement of atmospheric oxidation capacity can also have substantial impact on the secondary components of PM2.5, which partly explained the growth of organic aerosols during haze events and the COVID-19 shutdown period. The uneven reduction in NOx and NMVOC is suggested to be the most important reason for the rapid O3 increase after 2013. In addition, the decrease in PM2.5 may also have affected O3 formation via radiation effects and heterogeneous reactions. Moreover, climate change is expected to influence both anthropogenic emissions and atmospheric processes. However, the extent and pathways of the PM2.5-O3 interplay and how it will be impacted by the changing emission and atmospheric conditions making the synergetic control of PM2.5 and O3 difficult. Further research on the interaction of PM2.5 and O3 is needed to provide basis for a scientifically-grounded and effective co-control strategy.

Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection (preprint)

As the COVID-19 pandemic puts pressure on healthcare systems worldwide, the computed tomography image based AI diagnostic system has become a sustainable solution for early diagnosis. However, the model-wise vulnerability under adversarial perturbation hinders its deployment in practical situation. The existing adversarial training strategies are difficult to generalized into medical imaging field challenged by complex medical texture features. To overcome this challenge, we propose a Contour Attention Preserving (CAP) method based on lung cavity edge extraction. The contour prior features are injected to attention layer via a parameter regularization and we optimize the robust empirical risk with hybrid distance metric. We then introduce a new cross-nation CT scan dataset to evaluate the generalization capability of the adversarial robustness under distribution shift. Experimental results indicate that the proposed method achieves state-of-the-art performance in multiple adversarial defense and generalization tasks. The code and dataset are available at https://github.com/Quinn777/CAP.

Effect of HSP90AB1 on the replication of avian infectious bronchitis virus

The effects of heat shock protein HSPQOABl on the replication of avian infectious bronchitis virus(AIBV) were confirmed by using over expression and RNA interference methods. The results showed that over expression of HSPQOABI inhibited AIBV replication, whereas knockdown of HSPQOABl in- creased AIBV replication. These results indicated that HSPQOABI is a potential anti-viral host factor. These findings provide the basis for further study of the pathogenic mechanism of AIBV and anti-coronavirus infection.

The Psychological Effects of Digital Companies’ Employees during the Phase of COVID-19 Pandemic Extracted from Online Employee Reviews

The ways people use words online can furnish psychological processes about their beliefs, fears, thinking patterns, and so on. Extracting from online employees’ reviews on the workplace community websites, we can quantify the psychological effects of employees during the phase of the COVID-19 pandemic. We collect the anonymous employees’ reviews of Top 100 digital companies from the Glassdoor website which allows people to evaluate and review the companies they have worked for or are working for. Here, based on the data of numerical evaluations and textual reviews, we firstly use Z-score to investigate the psychological effects of employees in digital companies during the phase of COVID-19 pandemic. Next, we use a text analysis application called Linguistic Inquiry and Word Count (LIWC), which provides an efficient and effective method for studying the various emotional, cognitive, and structural components existing in individuals’ verbal and written speech samples, to mine these reviews to obtain changes in personal pronouns and 10 dimensions of psychological processes. Finally, we use Z-score to count on all aspects of drives and personal concerns in psychological processes.

Cohort profile: protocol and baseline survey for the Shanghai Suburban Adult Cohort and Biobank (SSACB) study

PURPOSE: The Shanghai Suburban Adult Cohort and Biobank (SSACB) was established to identify environmental, lifestyle and genetic risk factors for non-communicable chronic diseases (NCDs) in adults (20-74 years old) living in a suburban area of Shanghai with rapid urbanisation. PARTICIPANTS: Two of eight suburban district were purposely selected according to participant willingness, health service facilities, population, geographic region and electronic medical record system. From these suburban districts, four communities were selected based on economic level and population size. At stage three, one-third of the committees/villages were randomly selected from each community. All residents aged 20-74 years old were invited as study participants. FINDINGS TO DATE: The baseline data on demographics, lifestyle and physical health-related factors were collected using a face-to-face questionnaire interview. All participants completed physical examinations and had blood and urine tests. Blood and urine samples from these tests were stored in a biobank. From 6 April 2016 through 31 October 2017, we conducted face-to-face interviews and clinical examinations in 44 887 participants: 35 727 from Songjiang District and 9160 from Jiading District. The average age of participants was 56.4±11.2 years in Songjiang and 56.6±10.5 years in Jiading. The prevalence of hypertension, diabetes and dyslipidaemia was 34.0%, 8.2% and 11.1%, respectively. FUTURE PLANS: In-person surveys will be conducted every 5 years. For annual tracking, baseline data was linked to the local health information system, which was composed of an electronic medical record system, a chronic disease management system, a cancer registry system, an infectious disease report system and a death registry system. The data of the SSACB cohort is located in the School of Public Health, Fudan University. International and domestic collaborative research projects are encouraged and inherent in the project.

Mass spectrometry analysis of newly emerging coronavirus HCoV-19 spike S protein and human ACE2 reveals camouflaging glycans and unique post-translational modifications (preprint)

The pneumonia-causing COVID-19 pandemia has prompt worldwide efforts to understand its biological and clinical traits of newly identified HCoV-19 virus. In this study, post-translational modification (PTM) of recombinant HCoV-19 S and hACE2 were characterized by LC-MSMS. We revealed that both proteins were highly decorated with specific proportions of N-glycan subtypes. Out of 21 possible glycosites in HCoV-19 S protein, 20 were confirmed completely occupied by N-glycans, with oligomannose glycans being the most abundant type. All 7 possible glycosylation sites in hACE2 were completely occupied mainly by complex type N-glycans. However, we showed that glycosylation did not directly contribute to the binding affinity between SARS-CoV spike protein and hACE2. Additionally, we also identified multiple sites methylated in both proteins, and multiple prolines in hACE2 were converted to hydroxylproline. Refined structural models were built by adding N-glycan and PTMs to recently published cryo-EM structure of the HCoV-19 S and hACE2 generated with glycosylation sites in the vicinity of binding surface. The PTM and glycan maps of both HCoV-19 S and hACE2 provide additional structural details to study mechanisms underlying host attachment, immune response mediated by S protein and hACE2, as well as knowledge to develop remedies and vaccines desperately needed nowadays.