Project description:Using COVID-19 as model, we set out to identify serological, cellular and transcriptomic imprints of pathological responses linked to autoreactive B cells at single-cell resolution
Project description:We performed scRNA sequencing to understand the cellular heterogeneity and immune response landscape behind COVID-19 pathophysiology. We combine this with Ab-Seq, oligo-attached antibody based quantification of cell surface proteins to better understand the cell type and state of the cells. Samples were multiplexed using BD single-cell multiplexing kit (Human) in order to measure these data simultaneously
Project description:BackgroundRecent research has shown significant individual differences in COVID-19 psychosomatic symptoms. However, there has been a lack of studies investigating the influence of physical and psychological factors on these symptoms and their underlying mechanisms. This study aims to fill this gap by investigating the predictive role of self-compassion and social support on COVID-19 psychosomatic symptoms, as well as the potential mediating role of sleep quality.MethodsData were collected from 636 participants infected with COVID-19 during the early post-pandemic reopening phase in China. The measurement tools used in the current study included the Self-Compassion Scale, the Perceived Social Support Scale, Self-Rating Scale of Sleep, and a COVID-19 Psychosomatic Symptom Diary.ResultsA structural equation model revealed that: (1) social support directly predicts COVID-19 psychosomatic symptoms; (2) sleep quality fully mediates the relationship between self-compassion and COVID-19 psychosomatic symptoms; and (3) sleep quality partially mediates the relationship between social support and COVID-19 psychosomatic symptoms.ConclusionsThese findings not only confirm previous research but also provide new insights into the intricate interplay between psychological and physical factors and their influence on COVID-19 psychosomatic symptoms. The implications of these findings may inform the development of targeted rehabilitation programs in the post-pandemic era of the "new normal".Clinical trial numberNot applicable.
Project description:ObjectivesThere is emerging evidence that SARS-CoV-2-specific memory T-cell responses are likely to provide critical long-term protection against COVID-19. Strategies to rapidly assess T-cell responses are therefore likely to be important for assessing immunity in the global population.MethodsHere, we have developed a rapid immune-monitoring strategy to assess virus-specific memory T-cell responses in the peripheral blood of COVID-19 convalescent individuals. We validated SARS-CoV-2-specific memory T-cell responses detected in whole blood using in vitro expansion with SARS-CoV-2 proteins.ResultsT-cell immunity characterised by the production of IFN-γ and IL-2 could be consistently detected in the whole blood of recovered participants. T cells predominantly recognised structural SARS-CoV-2 proteins. In vitro expansion demonstrated that while CD8+ T cells recognised nucleocapsid protein, spike protein and ORF3a, CD4+ T cells more broadly targeted multiple SARS-CoV-2 proteins.ConclusionThese observations provide a timely monitoring approach for identifying SARS-CoV-2 cellular immunity and may serve as a diagnostic for the stratification of risk in immunocompromised and other at-risk individuals.
Project description:This study monitored the long-term immune response to severe acute respiratory syndrome coronavirus (SARS-CoV)-2 infection in patients who had recovered from coronavirus disease (COVID)-19. Anti-nucleocapsid immunoglobulin G (anti-N IgG) titer in serum samples collected at a single (N = 302) or multiple time points (N = 229) 3-12 months after COVID-19 symptom onset or SARS-CoV-2 detection in respiratory specimens was measured by semiquantitative chemiluminescent microparticle immunoassay. The 531 patients (966 specimens) were classified according to the presence or absence of pneumonia symptoms. Anti N IgG was detected in 87.5% of patients (328/375) at 3 months, 38.6% (93/241) at 6 months, 23.7% (49/207) at 9 months, and 26.6% (38/143) at 12 months. The anti-N IgG seropositivity rate was significantly lower at 6, 9, and 12 months than at 3 months (P < 0.01) and was higher in the pneumonia group than in the non-pneumonia/asymptomatic group at 6 months (P < 0.01), 9 months (P = 0.04), and 12 months (P = 0.04). The rate started to decline 6-12 months after symptom onset. Anti-N IgG sample/cutoff index was positively correlated with age (r = 0.192, P < 0.01) but negatively correlated with interval between symptom onset and blood sampling (r = - 0.567, P < 0.01). These findings can guide vaccine strategies in recovered COVID-19 patients.
Project description:BackgroundMyocardial injury (MI) can be detected during the acute phase of Coronavirus disease 19 (COVID-19) and is associated with a dismal prognosis. Recent imaging studies described the persistence of cardiac abnormalities after the recovery. The aim of the study was to investigate the spectrum of cardiac abnormalities at mid-term follow-up in patients recovered from COVID-19 using clinical assessment, laboratory tests, and imaging evaluation with comprehensive echocardiography.MethodsThis is an observational, cross-sectional study assessing an unselected cohort of consecutive patients recovered from COVID-19. MI was defined by elevated plasma levels of high sensitive troponin T (hsTnT). At the follow-up, a complete examination including echocardiography was performed.ResultsThe 123 patients included were divided into two groups according to the presence of MI during hospitalization: group A (without MI) and group B (with MI). After a median of 85 days, group B patients were more frequently symptomatic for dyspnea and had significantly higher values of hsTnT and N-Terminal prohormone of Brain Natriuretic Peptide (NT-proBNP), compared to Group A. No differences between the two groups in left nor right ventricle dimension and ejection fraction were found. However, in group B a significant reduction of mean left ventricle global longitudinal strain was observed (-15.7±.7 vs -18.1± .3 in group A, p < 0.001), together with higher frequency of impaired diastolic function and higher values of pulmonary pressure.ConclusionsIn patients recovered from COVID-19, echocardiography with speckle-tracking analysis may be an useful imaging tool to identify subclinical myocardial dysfunction and potentially guide management strategies.
Project description:ObjectiveThe second wave of the Covid-19 pandemic in India was widespread and caused psychological distress among the citizens. Hospitals were running at a premium, increasing deaths and trepidation stories were on air by media, this generated sleep disturbances for many. This study aimed to examine the sleep quality of Covid-19 recovered patients in India during the second wave of the pandemic.MethodsPatients who had recently recovered from Covid-19 were invited to participate in this cross-sectional study using various social media platforms. An online survey questionnaire, including socio-demographics, health-related information, Covid-19 related information, and the Pittsburgh Sleep Quality Index (PSQI), was administered in June 2021. Descriptive statistics were used to compare the scores among the mild, moderate, and severe groups. ANOVA was used to find the difference between the groups for global PSQI scores.ResultsA total of 311 participants (261 mild, 45 moderate, and 5 severe) provided usable responses. The Global PSQI score for the overall study sample was 8.22 ± 3.79. In the severe group, scores were higher 16.8 ± 2.59, and statistically significant from mild or moderate groups. Sleep quality of Covid-19 recovered patients was found to be statistically significantly different based on their gender (P < .001), annual income (P < .001), employment status (P < .001), and marital status (P < .001).ConclusionFemales, employment in the private sector, annual income below rupees 11 lakh, and unmarried Covid-19 recovered patients reported poor sleep quality. As our findings indicate poor sleep quality among the Covid-19 recovered patients during the second wave in India, designing psychological interventions is recommended to support their wellbeing post-recovery.
Project description:This trial is a multicenter prospective cohort study to explore timing of colorectal cancer surgery after COVID-19 infection so that can assist clinicians and patients. Currently, there is less evidence on perioperative outcomes after COVID-19 vaccination and the omicron variant. Therefore, it is necessary to update previously published consensus which recommends that patients should avoid elective surgery within 7 weeks of COVID-19 infection remain, unless the benefits of doing so exceed the risk of waiting. Aiming at the above problems, we plan to carry out a multicenter prospective cohort study to develop perioperative management according patients’ different conditions.
Project description:The oral bacteriome, gut bacteriome, and gut mycobiome are associated with coronavirus disease 2019 (COVID-19). However, the oral fungal microbiota in COVID-19 remains unclear. This article aims to characterize the oral mycobiome in COVID-19 and recovered patients. Tongue coating specimens of 71 COVID-19 patients, 36 suspected cases (SCs), 22 recovered COVID-19 patients, 36 SCs who recovered, and 132 controls from Henan are collected and analyzed using internal transcribed spacer sequencing. The richness of oral fungi is increased in COVID-19 versus controls, and beta diversity analysis reveals separate fungal communities for COVID-19 and control. The ratio of Ascomycota and Basidiomycota is higher in COVID-19, and the opportunistic pathogens, including the genera Candida, Saccharomyces, and Simplicillium, are increased in COVID-19. The classifier based on two fungal biomarkers is constructed and can distinguish COVID-19 patients from controls in the training, testing, and independent cohorts. Importantly, the classifier successfully diagnoses SCs with positive specific severe acute respiratory syndrome coronavirus 2 immunoglobulin G antibodies as COVID-19 patients. The correlation between distinct fungi and bacteria in COVID-19 and control groups is depicted. These data suggest that the oral mycobiome may play a role in COVID-19.