Decisional procrastination and problematic mobile phone use: the mediation of anxiety and the moderation of 2019-nCoV traumatic experience (preprint)

Background Decisional procrastination (DP) has an important effect on problematic mobile phone use (PMPU); however, the potential mechanisism and boundary conditions between DP and PMPU remianed to be further explored. This essay studied the mediation of anxiety between DP and PMPU and whether 2019-nCoV traumatic experience moderated the mediation process.Methods A questionnaire was used in this study. A valid sample of 798 college students reported levels of decisional procrastination, problematic mobile phone use, anxiety, and 2019-nCoV traumatic experience.Results The results indicated that decisional procrastination is positively associated with problematic mobile phone use among college students. Anxiety served as a partial mediator in the association between decisional procrastination and problematic mobile phone use. 2019-nCoV traumatic experience would positively moderated the mediating effects of anxiety between DP and PMPU. A higher degree of 2019-nCoV traumatic experience would strengthen the mediation effects of DP to PMPU through anxiety.Conclusions This study deepens our understanding of how DP affects college students' PMPU. It was found in the study that 2019-nCoV traumatic experience positively moderated the mediation effects of anxiety between DP and PMPU. These findings provide universities with a theoretical foundation for preventing PMPU among college students.

B cell acute lymphoblastic leukemia following mild COVID-19 in an 11-year-old boy (preprint)

Coronavirus disease-2019 (COVID-19) has infected millions of people with high lethality in the world, but little is known whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has impacts on triggering pediatric acute lymphoblastic leukemia (ALL). We present a case of a child with atypical clinical manifestation who developed B-cell acute lymphoblastic leukemia following a mild symptomatic COVID-19 infection. This case underlines the risks of potential oncogenic effects with the history of this viral infection and a state of immunosuppression.

Effect of Different Factors on the Quality of Life and Sequelae of COVID-19 Patients After Discharge

Background The continued spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains an international public health emergency, resulting in a significant global disease burden. The long-term effects of SARS-CoV-2 infection in humans and the long-term prognosis of patients with coronavirus disease 2019 (COVID-19) after discharge remain unclear. We aimed to assess the quality of life (QoL) and sequelae in patients with COVID-19 after discharge from the hospital by conducting multiple follow-up visits to understand the long-term effects of SARS-CoV-2 on patients' health and its possible influencing factors. Methods COVID-19 patients discharged from Huoshenshan Hospital (Wuhan, China) between February 15 and April 5, 2020, were followed up at 6, 9, and 12 months after discharge. They completed questionnaires on postdischarge QoL and sequelae under the guidance of medical staff with professional training. The demographic and clinical characteristics of the COVID-19 patients were analyzed using descriptive statistics. A generalized estimating equation model was used to analyze the QoL-related factors. The χ2 test (or Fisher exact test) and multivariate logistic regression analysis were used to analyze the sequelae and influencing factors. Results A total of 175 patients participated in at least 1 follow-up visit, and 120 completed all 3 follow-up visits. Patients diagnosed with severe and critically ill COVID-19 had worse mental conditions (χ2 = 7.653, P = 0.022) than those with the nonsevere type (not severe or critical) and were more likely to feel fatigued (χ2 = 4.836, P = 0.028). Female patients had a higher risk of sleep disturbance (χ2 = 10.026, P = 0.002) and dyspnea (χ2 = 5.672, P = 0.017) and had more difficulty returning to their original work and life (χ2 = 8.922, P = 0.003) than male patients. Patients with diabetes had a worse appetite (χ2 = 4.669, P = 0.031) and were more prone to sleep disturbance (χ2 = 4.417, P = 0.036) after discharge. The proportion of patients with at least 1 sequela increased from 29.76% (50/168) at 6 months to 51.11% (69/135) at 9 months (χ2 = 14.305, P < 0.001). Compared with the nonsevere type, patients diagnosed with severe and critically ill COVID-19 had an odds ratio (OR) of 4.325 (95% confidence interval [CI], 1.215–15.401) for memory decline. Female patients had an OR of 4.632 (95% CI, 1.716–12.501) for joint or muscle pain. Patients with hypertension had an OR of 3.014 (95% CI, 1.193–7.615) for joint or muscle pain. Conclusion One year after discharge, there were still some patients with varying degrees of decline in QoL and sequelae, which occurred in all follow-up visits. Moreover, QoL and sequelae after discharge were related to sex, clinical classification of COVID-19, and underlying diseases.

Do hospitals need to establish multiple hospital districts? A hospital-based perspective on the benefits of scale.

Background: During the fight against COVID-19, China's public hospitals played the main role in taking on the most urgent, dangerous and arduous medical treatment and work. Therefore, in order to promote the high-quality development of hospitals, it is necessary to support some potential public hospitals to build and develop a "One Hospital with Multiple Campuses System" (OHMC) based on controlling the size of single hospitals, and to quickly convert their functions in the event of a severe epidemic. Methods: The Cobb-Douglas production function and log-transformed production function were used to measure the appropriate hospital size for 22 public hospitals in a region of China. Results: The eight OHMC hospitals that planned to be build are basically qualified to handle the conditions and potential of multi-districts from the perspective of economy of scale. The OHMC hospitals in operation appear to have weakened incremental scale rewards, because they are in the process of development, but they are still higher than the overall level of single-campus hospitals. Conclusion: The expansion of hospital scale may bring the advantages of group development, but it may also bring about problems including rising hospital cost, increasing management and operation cost, inefficient allocation of medical resources and unbalanced development.

Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations

Gaseous pollutants at the ground level seriously threaten the urban air quality environment and public health. There are few estimates of gaseous pollutants that are spatially and temporally resolved and continuous across China. This study takes advantage of big data and artificial-intelligence technologies to generate seamless daily maps of three major ambient pollutant gases, i.e., NO2, SO2, and CO, across China from 2013 to 2020 at a uniform spatial resolution of 10 km. Cross-validation between our estimates and ground observations illustrated a high data quality on a daily basis for surface NO2, SO2, and CO concentrations, with mean coefficients of determination (root-mean-square errors) of 0.84 (7.99 µg m-3), 0.84 (10.7 µg m-3), and 0.80 (0.29 mg m-3), respectively. We found that the COVID-19 lockdown had sustained impacts on gaseous pollutants, where surface CO recovered to its normal level in China on around the 34th day after the Lunar New Year, while surface SO2 and NO2 rebounded more than 2 times slower due to more CO emissions from residents' increased indoor cooking and atmospheric oxidation capacity. Surface NO2, SO2, and CO reached their peak annual concentrations of 21.3 ± 8.8 µg m-3, 23.1 ± 13.3 µg m-3, and 1.01 ± 0.29 mg m-3 in 2013, then continuously declined over time by 12 %, 55 %, and 17 %, respectively, until 2020. The declining rates were more prominent from 2013 to 2017 due to the sharper reductions in anthropogenic emissions but have slowed down in recent years. Nevertheless, people still suffer from high-frequency risk exposure to surface NO2 in eastern China, while surface SO2 and CO have almost reached the World Health Organization (WHO) recommended short-term air quality guidelines (AQG) level since 2018, benefiting from the implemented stricter "ultra-low” emission standards. This reconstructed dataset of surface gaseous pollutants will benefit future (especially short-term) air pollution and environmental health-related studies.

Research progress on adenovirus vector vaccines

Adenovirus（Ad） vectors have been widely used as gene delivery vehicles in gene therapy studies since Ad does not integrate into the host genome, thus the risk of insertion mutation is very low.Ad vectors induce immune responses and have relatively high thermal stability, which make them potential vaccine vectors.The outbreak of coronavirus disease 2019（COVID-19） has drawn more attention to the application of Ad vector vaccines.Vaccination is still the most economical and effective means to prevent and control infectious diseases, including COVID-19, and a variety of Ad vector vaccines have been developed.In this review, we describe the basic characteristics, immune mechanism, clinical application and research progress of Ad vectors.

Clinical characteristics and short-term mortality of 102 hospitalized hemodialysis patients infected with SARS-CoV-2 omicron BA.2.2.1 variant in Shanghai, China.

Background: The aim of this study was to analyze clinical features and short-term mortality in hemodialysis (HD) patients infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) omicron BA.2.2.1 variant. Methods: In a retrospective single-center case series, 102 consecutive hospitalized HD patients infected with the coronavirus omicron variant were assessed at Pudong Hospital in Shanghai, China, from April 6 to April 18, 2022; the final date of follow-up was May 16, 2022. Clinical, laboratory, chest CT, and treatment data were collected and analyzed. The association between these factors and all-cause mortality was studied using univariate and multivariate analyses. The relationship between lymphocyte count and short-term mortality was based on receiver operating characteristic (ROC) curve analysis. Kaplan-Meier analysis was used to assess overall survival. Results: In total, 102 patients were included in this study. The patients were divided into two groups: HD patients with pneumonia (N = 46) and without pneumonia (N = 56). Of the 102 patients, 12 (11.8%) died. Multivariate regression analysis revealed that all-cause mortality was correlated with lymphocyte counts and type B natriuretic peptide (BNP), C-reactive protein (CRP), and D-dimer levels (P < 0.05). The cut-off value of lymphocyte counts was 0.61 × 109/L for all-cause mortality. The overall survival rate was significantly different between HD patients with and without pneumonia (P < 0.05). Conclusions: Lymphocyte counts are important for the prediction of short-term mortality in HD patients with SARS-CoV-2 infection. HD patients with lung involvement have poorer survival rates than those without lung involvement.

Impact Factors of COVID-19 Vaccination Hesitancy in patients after lung cancer surgery: an outpatients-based cross-sectional study (preprint)

Background The safety and efficacy of several vaccine candidates have been tested and found to be effective and safe against COVID-19. But, little is known about the actual level of people with lung cancer willing to accept a COVID-19 vaccine and the impact factors that affect acceptability. The survey aimed to determine the prevalence of vaccine hesitancy in lung cancer patients after surgery and characterize underlying factors contributing to reluctance.Methods An clinical survey was inducted from May 1, 2021, to August 20, 2021. Eligible participants were 18 years or older, were diagnosed with lung cancer, and received lung cancer surgery, including lobectomy, sublobectomy, and pneumonectomy. Data were collected on a self-administered questionnaire from 294 lung cancer patients after surgery.Results Among the final included 281 participants, 54.1% were female, and 93.6% were of Han ethnicity. 48.0% were in pathologic stage I, 36.3% in stage II, 10.3% in stage III, and 5.3% in stage IV. The vaccination hesitancy/refusal rate was 41.6%. In multivariable regression analysis, age over 60 years old, low educational level, duration of cancer (< 1 year), subjective health status, current cancer treatments use, presence of postoperative pain, and report of the items “ever hesitated or refused to get a vaccination,” “get negative information about getting the COVID-19 vaccine”, “worried about vaccine adverse reactions,” and “worried about the COVID vaccine interferes with cancer treatments” were independently associated with hesitant of the COVID-19 vaccine.Conclusions Vaccine hesitancy is common among lung cancer patients after surgery, related mainly to health status and concerns about side effects, worsens cancer prognosis, and interferes with cancer treatments. These results suggest that vaccination programs may need tailoring to specific populations’ hesitancy.

Editorial of Special Column on Antiviral Drug Discovery and Pharmacology

The COVID-19 pandemic is an overdue reminder of the urgent need for antivirals. Development of antiviral drugs has been historically neglected compared to those for other diseases, including cancer, neurodegeneration diseases, inflammatory diseases and others. Retrospectively, if the 2003 SARS-CoV-1 had raised the alarm of the need for vaccines and antivirals against coronaviruses, we would have been in a much better position fighting against the SARS-CoV-2.

Individual bat viromes reveal the co-infection, spillover and emergence risk of potential zoonotic viruses (preprint)

Bats are reservoir hosts for many zoonotic viruses. Despite this, relatively little is known about the diversity and abundance of viruses within bats at the level of individual animals, and hence the frequency of virus co-infection and inter-species transmission. Using an unbiased meta-transcriptomics approach we characterised the mammalian associated viruses present in 149 individual bats sampled from Yunnan province, China. This revealed a high frequency of virus co-infection and species spillover among the animals studied, with 12 viruses shared among different bat species, which in turn facilitates virus recombination and reassortment. Of note, we identified five viral species that are likely to be pathogenic to humans or livestock, including a novel recombinant SARS-like coronavirus that is closely related to both SARS-CoV-2 and SARS-CoV, with only five amino acid differences between its receptor-binding domain sequence and that of the earliest sequences of SARS-CoV-2. Functional analysis predicts that this recombinant coronavirus can utilize the human ACE2 receptor such that it is likely to be of high zoonotic risk. Our study highlights the common occurrence of inter-species transmission and co-infection of bat viruses, as well as their implications for virus emergence.

Immune response of primary and booster immunity of SARS-CoV-2 vaccination among patients with chronic liver disease: a real-world study (preprint)

Aim: The present study discussed the humoral immune response and antibody dynamics after primary and booster immunity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines among patients with chronic liver disease (CLD) in the real world. Thus, it provided data to develop SARS-CoV-2 vaccination strategy. Methods: Patients with confirmed CLD and completed primary or booster immunity of SARS-CoV-2 vaccines were enrolled. Serological specimens were collected after primary or booster immunity of SARS-CoV-2 vaccines to detect novel coronavirus neutralizing antibody (nCoV NTAb) and novel coronavirus spike receptor-binding domain antibody (nCoV S-RBD). Thus, we could evaluate the humoral immune response and antibody dynamics after primary and booster immunity of SARS-CoV-2 vaccines among patients with CLD. Simultaneously, baseline demographics, liver disease-related situations, comorbidity-related situations, SARS-CoV-2 vaccination information, and laboratory examination-related indicators of patients were collected. Results: A total of 315 patients received SARS-CoV-2 vaccines, including 223 patients who completed the primary immunity of SARS-CoV-2 vaccines, 114 patients who completed booster immunity of SARS-CoV-2 vaccines, and 22 patients who underwent the antibody detection of SARS-CoV-2 vaccines after both primary and booster immunities. The positive rate of nCoV NTAb was 59.64% in Primary and 87.72% in Booster (P<0.001). The median level of nCoV NTAb was 11.53 AU/mL in Primary and 31.98 AU/mL in Booster (P<0.001). The positive rate of nCoV S-RBD was 69.06% in Primary and 91.23% in Booster (P<0.001). The median level of nCoV S-RBD was 21.60AU/mL in Primary and 112.65 AU/mL in Booster (P<0.001). After booster immunity of SARS-CoV-2 vaccines in 22 patients, the positive rate of nCoV NTAb increased from 59.09% to 86.36%, and that of nCoV S-RBD increased from 68.18% to 90.91%. The median level of nCoV NTAb increased from 11.24 AU /mL to 59.14 AU /mL after booster immunity. The median level of nCoV S-RBD increased from 27.28 AU/mL to 219.10 AU/mL. Compared to the antibody level of primary immunity, the median level of nCoV NTAb and nCoV S-RBD in 22 patients was increased by 5.26 and 8.03 times, respectively. Among 22 patients, 9 were negative for nCoV NTAb after primary immunity, while 6 were transformed positive after booster immunity, and the positive conversion rate of nCoV NTAb was 66.7%. On the other hand, 7 patients were negative for nCoV S-RBD after primary immunity, while 5 were transformed positive after booster immunity, and the positive conversion rate of nCoV S-RBD was 71.4%. Conclusion: Patients with CLD show improved humoral immune response after completing primary and booster immunity of SARS-CoV-2 vaccines, while booster immunity further improves the positive rate and antibody level of patients with CLD. Finally, the positive conversion rate among patients with primary immunity failure also can be improved after booster immunity. Keywords: immune response; primary and booster immunity; SARS-CoV-2 vaccination; chronic liver disease

The Effect of Presentation Characteristics of “Quantified Self” Data on Consumers’ Continuance Participation Intention: An Empirical Study Based on Health-Related Apps

Purpose The COVID-19 pandemic has greatly influenced the health and lifestyles of individuals. Increasing numbers of consumers now participate in quantified self (QS) process to learn more about their health-related behaviors. Understanding how to increase consumers’ QS continuance participation intention is critical. Drawing on Social Cognitive Theory and Self-Construal Theory, this study investigates how the presentation characteristics of QS data and consumers’ self-construal can influence their continuance participation intention during QS process. Methods Three between-subjects scenario simulation experiments were conducted to examine the influence mechanisms of the presentation mode and type of QS data and self-construal on consumers’ continuance participation intention. Results The study found: (1) the presentation mode (horizontal comparison vs vertical comparison) and type (descriptive vs analytic) of QS data had significant interaction effects on consumers’ continuance participation intention;(2) consumers’ self-construal (interdependent vs independent) and the presentation mode of QS data had obvious interaction effects on their continuance participation intention;and (3) consumers’ self-construal and the presentation type of QS data had interaction influences on their continuance participation intention. Conclusion This research combined Social Cognitive Theory and Self-Construal Theory to analyze the influence mechanisms of the presentation characteristics of QS data and consumers’ self-construal on their continuance participation intention. These findings not only expand the research field and the scope of application of Social Cognitive Theory, but also provide new insights for the study of consumers’ QS problems. They have reference value for the optimization of the presentation features of QS data, and for improving the match between QS data presentation and consumers’ self-construal types, to motivate continued participation in QS process.

Proteomics Investigation of Diverse Serological Patterns in COVID-19 (preprint)

Serum antibodies IgM and IgG are elevated during COVID-19 to defend against viral attack. Atypical results such as negative and abnormally high antibody expression were frequently observed whereas the underlying molecular mechanisms are elusive. In our cohort of 144 COVID-19 patients, 3.5% were both IgM and IgG negative whereas 29.2% remained only IgM negative. The remaining patients exhibited positive IgM and IgG expression, with 9.3% of them exhibiting over 20-fold higher titers of IgM than the others at their plateau. IgG titers in all of them were significantly boosted after vaccination in the second year. To investigate the underlying molecular mechanisms, we classed the patients into four groups with diverse serological patterns and analyzed their two-year clinical indicators. Additionally, we collected 111 serum samples for TMTpro-based longitudinal proteomic profiling and characterized 1494 proteins in total. We found that the continuously negative IgM and IgG expression during COVID-19 were associated with mild inflammatory reactions and high T cell responses. Low levels of serum IgD, inferior complement 1 activation of complement cascades, and insufficient cellular immune responses might collectively lead to compensatory serological responses, causing overexpression of IgM. Serum CD163 was positively correlated with antibody titers during seroconversion. This study suggests that patients with negative serology still developed cellular immunity for viral defense, and that high titers of IgM might not be favorable to COVID-19 recovery.

Risk factors of severe and critical patients with COVID-19 in Hubei, China. (Special Issue: Spatio-temporal dynamics analysis, risk assessment and emergency management for COVID-19 epidemic.) [Chinese]

Objective: To investigate the risk factors of severe and critical patients with coronavirus disease 2019(COVID-19)in Hubei, China. Methods All patients with COVID-19 registered in the National Legal Infectious Disease Reporting System of Hubei Provincial Center for Disease Control and Prevention, as of March 18, 2020, were recruited. According to the symptoms, the patients were divided into two groups: mild/moderate patients and severe/critical patients. Their general characteristics were described, and the risk factors of severe and critical patients with COVID-19 were explored by using a Logistic regression model. Results A total of 48 814 cases were included, of which 38 730 were mild/moderate patients and 10 084 were severe/critical patients. The median age was 54(41, 65)years. Multivariate analysis showed that the elderly, male, home workers, people in Wuhan City, migrants, longer interval between onset and diagnosis, low temperature, higher concentrations of PM2.5/PM10/SO2/O3 increased the risk of severe/critical diagnosis in patients with COVID-19. Conclusion The elderly, male, home workers, people in Wuhan City, migrants, longer interval between onset and diagnosis, low temperature, and air pollution exposure are risk factors for severe/critical COVID-19 patients. More attention should be paid to people with these characteristics.

Metabolite profile of COVID-19 revealed by UPLC-MS/MS-based widely targeted metabolomics

The metabolic characteristics of COVID-19 disease are still largely unknown. Here, 44 patients with COVID-19 (31 mild COVID-19 patients and 13 severe COVID-19 patients), 42 healthy controls (HC), and 42 patients with community-acquired pneumonia (CAP), were involved in the study to assess their serum metabolomic profiles. We used widely targeted metabolomics based on an ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS). The differentially expressed metabolites in the plasma of mild and severe COVID-19 patients, CAP patients, and HC subjects were screened, and the main metabolic pathways involved were analyzed. Multiple mature machine learning algorithms confirmed that the metabolites performed excellently in discriminating COVID-19 groups from CAP and HC subjects, with an area under the curve (AUC) of 1. The specific dysregulation of AMP, dGMP, sn-glycero-3-phosphocholine, and carnitine was observed in the severe COVID-19 group. Moreover, random forest analysis suggested that these metabolites could discriminate between severe COVID-19 patients and mild COVID-19 patients, with an AUC of 0.921. This study may broaden our understanding of pathophysiological mechanisms of COVID-19 and may offer an experimental basis for developing novel treatment strategies against it.

Investigation and analysis of cognitive function and psychological status in stroke patients with COVID-19

Objective To investigate the clinical characteristics of COVID-19 patients with stroke and the changes of cognitive function and mental state within 6 months after discharge. Methods Retrospective analysis of 32 patients with COVID-19 complicated with stroke in the Third people's Hospital of Hubei Province from January 21 to June 1, 2020, and 32 patients with COVID-19 patients without stroke and 32 common pneumonia patients complicated with stroke treated in the same period as the control group. The clinical data and experimental parameters in the hospital were counted. They were followed up within 6 months after discharge, and the cognitive function of the patients was evaluated by Montreal cognitive function evaluation form, GAD-7 extensive anxiety scale and PHQ-9 depression scale, to test the psychological state of patients. The significant differences under three scores of the groups were analyzed, and the related risk factors of anxiety and depression were analyzed by binary logistic regression. Results Kruskal-wallisH test showed that there was a significant difference in cognitive score, anxiety score, depression score among groups(P<0. 05). Binary logistic regression analysis showed that female gender (P = 0.004) and COVID-19 infection(P < 0.001) were independent risk factors for anxiety and depression in stroke population. Conclusion COVID-19 was indeed associated with prognosis anxiety and depression, but not with cognitive impairment. Women and patients with COVID-19 infection were independent factors of anxiety and depression in stroke population. There are serious negative emotions such as anxiety and depression within 6 months after discharge, and there are still many psychological problems. After discharge, taking corresponding psychological intervention for patients can maintain their mental health and promote disease rehabilitation.

Health Misinformation on Social Media: A Systematic Literature Review and Future Research Directions

Health misinformation on social media is an emerging public concern as the COVID-19 infodemic tragically evidences. Key challenges that empower health misinformation’s spread include rapidly advancing social technologies and high social media usage penetration. However, research on health misinformation on social media lacks cohesion and has received limited attention from information systems (IS) researchers. Given this issue’s importance and relevance to the IS discipline, we summarize the current state of research on this emerging topic and identify research gaps together with meaningful research questions. Following a two-step literature search, we identify and analyze 101 papers. Drawing on the Shannon-Weaver communication model, we propose an integrative stage-based framework of health misinformation on social media. Based on literature analysis, we identify research opportunities and prescribe directions for future research on health misinformation on social media.

The enteric virome of cats with feline panleukopenia differs in abundance and diversity from healthy cats (preprint)

Feline panleukopenia (FPL) is a severe, often fatal disease caused by feline parvovirus (FPV). How infection with FPV might impact the composition of the entire eukaryotic enteric virome in cats has not been characterized. We used metatranscriptomic and viral particle enrichment metagenomic approaches to characterize the enteric viromes of 23 cats naturally infected with FPV (FPV-cases) and 36 age-matched healthy shelter cats (healthy controls). Sequencing reads were detected from 11 mammalian infecting viral families mostly belonging to Coronaviridae, Parvoviridae and Astroviridae . Among the healthy control cats the most abundant viruses were Feline coronavirus, Mamastrovirus 2 and Carnivore bocaparvovirus 3 (Feline bocavirus 1) with frequent co-infections of all three. Feline chaphamaparvovirus was only detected in healthy controls (6/36, 16.7%). Among the FPV-cases, in addition to FPV, the most abundant viruses were Mamastrovirus 2 , Feline coronavirus and Carnivore bocaparvovirus 4 (Feline bocaparvovirus 2). The latter and Feline bocaparvovirus 3 were detected significantly more frequently in FPV-cases than in healthy controls. Feline calicivirus was present in a high proportion of FPV-cases (11/23, 47.8%) compared to healthy controls (5/36, 13.9%, p=0.0067). Feline kobuvirus infections were also common among FPV-cases (9/23, 39.1%) and were not detected in any healthy control cats (p<0.0001). While abundant in both groups, astroviruses were more frequently present in FPV-cases (19/23, 82.6%) than in healthy controls (18/36, p=0.0142). The differences in eukaryotic virome composition found in this study indicate that further investigations to determine associations between enteric viral co-infections on clinical disease severity in cats with FPL are warranted.

Pulmonary and Renal Long COVID at Two-year Revisit (preprint)

More than 450 million individuals have recovered from COVID-19, but little is known about the host responses to long COVID. We performed proteomic and metabolomic analyses of 991 blood and urine specimens from 144 COVID-19 patients with comprehensive clinical data and up to 763 days of follow up. Our data showed that the lungs and kidneys are the most vulnerable organs in long COVID patients. Pulmonary and renal long COVID of one-year revisit can be predicted by a machine learning model based on clinical and multi-omics data collected during the first month from the disease onset with an ACC of 87.5%. Serum protein SFTPB and ATR were associated with pulmonary long COVID and might be potential therapeutic targets. Notably, our data show that all the patients with persistent pulmonary ground glass opacity or patchy opacity lesions developed into pulmonary fibrosis at two-year revisit. Together, this study depicts the longitudinal clinical and molecular landscape of COVID-19 with up to two-year follow-up and presents a method to predict pulmonary and renal long COVID.