Proteomic and metabolomic profiling of urine uncovers immune responses in patients with COVID-19.

The utility of the urinary proteome in infectious diseases remains unclear. Here, we analyzed the proteome and metabolome of urine and serum samples from patients with COVID-19 and healthy controls. Our data show that urinary proteins effectively classify COVID-19 by severity. We detect 197 cytokines and their receptors in urine, but only 124 in serum using TMT-based proteomics. The decrease in urinary ESCRT complex proteins correlates with active SARS-CoV-2 replication. The downregulation of urinary CXCL14 in severe COVID-19 cases positively correlates with blood lymphocyte counts. Integrative multiomics analysis suggests that innate immune activation and inflammation triggered renal injuries in patients with COVID-19. COVID-19-associated modulation of the urinary proteome offers unique insights into the pathogenesis of this disease. This study demonstrates the added value of including the urinary proteome in a suite of multiomics analytes in evaluating the immune pathobiology and clinical course of COVID-19 and, potentially, other infectious diseases.

Association of Interleukin-6 Levels with Morbidity and Mortality in Patients with Coronavirus Disease 2019 (COVID-19).

The prognostic value of interleukin-6 (IL-6) in coronavirus disease 2019 (COVID-19) needs to be clarified. In this retrospective study, COVID-19 patients treated at Renmin Hospital of Wuhan University from January 7 to February 8, 2020 with measurements of serum IL-6 levels within 1 week after admission were included. Data regarding demographics, clinical characteristics, laboratory tests, complications, and outcomes were collected and analyzed. Sixty-six patients diagnosed with COVID-19 were included in this study (31 patients were females). They were divided into a normal group (serum IL-6 <10 pg/mL, n = 35) and an abnormal group (serum IL-6 <10 pg/mL, n = 31). Compared with the normal group, the incidence of critical cases (P <0.001), acute respiratory distress syndrome (ARDS) (P = 0.001), acute cardiac injury (P = 0.002), cardiac insufficiency (P = 0.039), mechanical ventilation rate (P = 0.002), and mortality (P = 0.021) was significantly increased in the abnormal group. Serum IL-6 concentration was an independent predictor of fatal outcome (P = 0.04). The optimal cutoff value of serum IL-6 concentration for predicting fatal outcomes was 26.09 pg/mL (P <0.001). In COVID-19, elevated serum IL-6 levels were associated with critical illness, use of mechanical ventilation, and complications, including heart injury and ARDS, and could predict a fatal outcome. Early detection of serum IL-6 levels after admission should be necessary in COVID-19 patients.

Profiles of liver function abnormalities in elderly patients with Coronavirus Disease 2019.

BACKGROUND: The profiles of liver function abnormalities in COVID-19 patients need to be clarified. METHODS: In this retrospective study, consecutive COVID-19 patients over 60 years old in Renmin Hospital of Wuhan University from January 1 to February 6 were included. Data of demographics, clinical characteristics, comorbidities, laboratory tests, medications and outcomes were collected and analysed. Sequential alterations of serum alanine aminotransferase (ALT) were monitored. RESULTS: A total of 330 patients were included and classified into two groups with normal (n = 234) or elevated ALT (n = 96). There were fewer females (40.6% vs 54.7%, P = .020) and more critical cases (30.2% vs 19.2%, P = .026) in patients with elevated ALT compared with the normal group. Higher levels of bacterial infection indices (eg, white blood cell count, neutrophil count, C-reactive protein and procalcitonin) were observed in the elevated group. Spearman correlation showed that both ALT and AST levels were positively correlated with those indices of bacterial infection. No obvious effects of medications on ALT abnormalities were found. In patients with elevated ALT, most ALT elevations were mild and transient. 59.4% of the patients had ALT concentrations of 41-100 U/L, while only a few patients (5.2%) had high serum ALT concentrations above 300 U/L. ALT elevations occurred at 13 (10-17) days and recovered at 28 (18-35) days from disease onset. For most patients, the elevation of serum ALT levels occurred at 6-20 days after disease onset and reached their peak values within a similar time frame. The recovery of serum ALT levels to normal frequently occurred at 16-20 days or 31-35 days after disease onset. CONCLUSIONS: Liver function abnormalities were observed in 29.1% of elderly people COVID-19 patients, which were slightly and transient in most cases. Liver function abnormalities in COVID-19 may be correlated with bacterial infection.

In-Hospital Management and Outcomes of Acute Myocardial Infarction Before and During the Coronavirus Disease 2019 Pandemic.

The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread worldwide. This study sought to share our experiences with in-hospital management and outcomes of acute myocardial infarction (AMI) during the COVID-19 pandemic. We retrospectively analyzed consecutive AMI patients, including those with ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI), from February 1, 2020, to April 15, 2020 (during the COVID-19 pandemic), and from January 1, 2019, to December 31, 2019 (before the COVID-19 pandemic), respectively. Fifty-three AMI patients (31 STEMI, 22 NSTEMI) during the COVID-19 pandemic were matched to 53 AMI patients before the pandemic. Baseline characteristics were comparable between the matched patients. STEMI patients during the COVID-19 pandemic had a longer delay time, less primary or remedial PCI and more emergency thrombolysis than those before the pandemic. Less coronary angiography and stenting were performed in AMI patients during the COVID-19 pandemic than before the pandemic. There were no statistically significant differences in the clinical outcomes between the matched patients. However, STEMI patients during the COVID-19 pandemic had a 4-fold (12.9% vs. 3.2%) increase in all-cause mortality rate compared with those before the pandemic. AMI combined with COVID-19 infection was associated with higher rates of mortality than AMI alone. This study demonstrates that the COVID-19 pandemic results in significant reperfusion delays in STEMI patients and has a marked impact on the treatment options selection in AMI patients. The mortality rate of STEMI patients exhibits an increasing trend during the pandemic of COVID-19.

Coronavirus disease 2019 in elderly patients: Characteristics and prognostic factors based on 4-week follow-up.

OBJECTIVE: To investigate the characteristics and prognostic factors in the elderly patients with COVID-19. METHODS: Consecutive cases over 60 years old with COVID-19 in Renmin Hospital of Wuhan University from Jan 1 to Feb 6, 2020 were included. The primary outcomes were death and survival till March 5. Data of demographics, clinical features, comorbidities, laboratory tests and complications were collected and compared for different outcomes. Cox regression was performed for prognostic factors. RESULTS: 339 patients with COVID-19 (aged 71±8 years,173 females (51%)) were enrolled, including 80 (23.6%) critical, 159 severe (46.9%) and 100 moderate (29.5%) cases. Common comorbidities were hypertension (40.8%), diabetes (16.0%) and cardiovascular disease (15.7%). Common symptoms included fever (92.0%), cough (53.0%), dyspnea (40.8%) and fatigue (39.9%). Lymphocytopenia was a common laboratory finding (63.2%). Common complications included bacterial infection (42.8%), liver enzyme abnormalities (28.7%) and acute respiratory distress syndrome (21.0%). Till Mar 5, 2020, 91 cases were discharged (26.8%), 183 cases stayed in hospital (54.0%) and 65 cases (19.2%) were dead. Shorter length of stay was found for the dead compared with the survivors (5 (3-8) vs. 28 (26-29), P < 0.001). Symptoms of dyspnea (HR 2.35, P = 0.001), comorbidities including cardiovascular disease (HR 1.86, P = 0.031) and chronic obstructive pulmonary disease (HR 2.24, P = 0.023), and acute respiratory distress syndrome (HR 29.33, P < 0.001) were strong predictors of death. And a high level of lymphocytes was predictive of better outcome (HR 0.10, P < 0.001). CONCLUSIONS: High proportion of severe to critical cases and high fatality rate were observed in the elderly COVID-19 patients. Rapid disease progress was noted in the dead with a median survival time of 5 days after admission. Dyspnea, lymphocytopenia, comorbidities including cardiovascular disease and chronic obstructive pulmonary disease, and acute respiratory distress syndrome were predictive of poor outcome. Close monitoring and timely treatment should be performed for the elderly patients at high risk.

Proteomic and Metabolomic Characterization of COVID-19 Patient Sera.

Early detection and effective treatment of severe COVID-19 patients remain major challenges. Here, we performed proteomic and metabolomic profiling of sera from 46 COVID-19 and 53 control individuals. We then trained a machine learning model using proteomic and metabolomic measurements from a training cohort of 18 non-severe and 13 severe patients. The model was validated using 10 independent patients, 7 of which were correctly classified. Targeted proteomics and metabolomics assays were employed to further validate this molecular classifier in a second test cohort of 19 COVID-19 patients, leading to 16 correct assignments. We identified molecular changes in the sera of COVID-19 patients compared to other groups implicating dysregulation of macrophage, platelet degranulation, complement system pathways, and massive metabolic suppression. This study revealed characteristic protein and metabolite changes in the sera of severe COVID-19 patients, which might be used in selection of potential blood biomarkers for severity evaluation.