RESUMO
BackgroundMore than one year into the COVID-19 pandemic, important data gaps remain on longitudinal prevalence of SARS-CoV-2 infection at the population level and in defined risk groups, efficacy of specific lockdown measures, and on (cost-)effective surveillance. MethodsThe ELISA (Lubeck Longitudinal Investigation of SARS-CoV-2 Infection) study invited adult inhabitants (n=[~]300,000) from the Lubeck area (Northern Germany) and enrolled 3051 participants ([~]1%); 1929 population-matched and 1645 with high-exposure based on profession. The one-year study period (03/2020-02/2021) spanned massive influx of tourism in the summer, rise of infection rates in the fall/winter 2020/2021, and two lockdowns. Participants were screened seven times for SARS-CoV-2 infection using PCR and antibody testing and monitored with an app-based questionnaire (n=[~]91,000). ResultsCohort (56% female; mean age: 45.6 years) retention was 75%-98%; 89 persons (3.5%) were antibody- and/or PCR-positive. Seropositivity was almost 2-fold higher in men and increased risk detected in several high-exposure groups (highest for nurses, followed by police, army, firemen, and students). In May 2020, 92% of the infections were missed by PCR testing; by February 2021, only 29% remained undiagnosed. "Contact to COVID-19-affected" was the most relevant risk factor. Other factors, such as frequent use of public transportation, shopping, close contacts at work, and extensive tourism in the summer did not impact infection rates. ConclusionsWe i) provide a model for effective, regional surveillance; ii) identify infection risk factors informing public health measures; iii) demonstrate that easing of lockdown measures appears safe at times of low prevalence in the presence of continuous monitoring.
RESUMO
Coronavirus disease 2019 (COVID-19) is a viral infection affecting multiple organ systems of great significance for metabolic processes. Thus. there is increasing interest in metabolic and lipoprotein signatures of the disease and early analyses have demonstrated metabolic pattern typical for atherosclerotic and hepatic damage in COVID-19 patients. However, it remains unclear whether these are specific for COVID-19 or a general marker of critical illness. To answer this question, we have analyzed 276 serum samples from 92 individuals using NMR metabolomics, including longitudinally collected samples from 5 COVID-19 and 11 cardiogenic shock intensive care patients, 18 SARS-CoV-2 antibody-positive individuals, and 58 healthy controls. COVID-19 patients showed a distinct metabolic serum profile, including changes typical for severe dyslipidemia and a deeply altered metabolic status compared to healthy controls. Specifically, VLDL parameters, IDL particles, large-sized LDL particles, and the ApoB100/ApoA1 ratio were significantly increased, whereas HDL fractions were decreased. Moreover, a similarly perturbed profile was apparent, even when compared to other ICU patients suffering from cardiogenic shock, highlighting the impact of COVID-19 especially on lipid metabolism and energy status. COVID-19 patients were separated with an AUROC of 1.0 when compared to both healthy controls and cardiogenic shock patients. Anti-SARS-CoV-2 antibody-positive individuals without acute COVID-19 did not show a significantly perturbed metabolic profile compared to age- and sex-matched healthy controls, but SARS-CoV-2 antibody-titers correlated significantly with metabolic parameters, including levels of glycine, ApoA2, and small-sized LDL and HDL subfractions. Our data suggest that NMR metabolic profiles are suitable for COVID-19 patient stratification and post-treatment monitoring.
