Temporal Dynamics and (Para)Clinical Factors Associated With (Long) Viral RNA Shedding in COVID-19 Nonhospitalized Individuals - The COVID-HOME Study.

Understanding temporal patterns and determinants of RNA shedding is important to comprehend SARS-CoV-2 transmission and improve biosafety/isolation guidelines. Nonhospitalized SARS-CoV-2-infected individuals and household members were enrolled between March 2020 and June 2021 and followed prospectively ≥ 3 weeks during acute disease and at 3-, 6-, 12-, and 18-months to obtain (para)clinical data and biospecimens. Flow cytometry-based surrogate assay (FlowSA) detected viable SARS-CoV-2.

The gut microbiota as an early predictor of COVID-19 severity.

Several studies reported alterations of the human gut microbiota (GM) during COVID-19. To evaluate the potential role of the GM as an early predictor of COVID-19 at disease onset, we analyzed gut microbial samples of 315 COVID-19 patients that differed in disease severity. We observed significant variations in microbial diversity and composition associated with increasing disease severity, as the reduction of short-chain fatty acid producers such as and , and the growth of pathobionts as and .

Systemic oxidative stress associates with the development of post-COVID-19 syndrome in non-hospitalized individuals.

Background: Post-COVID-19 syndrome (PCS) remains a major health issue worldwide, while its pathophysiology is still poorly understood. Systemic oxidative stress (OS) may be involved in PCS, which is reflected by lower circulating free thiols (R-SH, sulfhydryl groups), as they are receptive to rapid oxidation by reactive species. This study aimed to investigate the longitudinal dynamics of serum R-SH after SARS-CoV-2 infection and its association with the development of PCS in individuals with mild COVID-19.

Pooled Cohort Profile: ReCoDID Consortium's Harmonized Acute Febrile Illness Arbovirus Meta-Cohort.

Infectious disease (ID) cohorts are key to advancing public health surveillance, public policies, and pandemic responses. Unfortunately, ID cohorts often lack funding to store and share clinical-epidemiological (CE) data and high-dimensional laboratory (HDL) data long term, which is evident when the link between these data elements is not kept up to date. This becomes particularly apparent when smaller cohorts fail to successfully address the initial scientific objectives due to limited case numbers, which also limits the potential to pool these studies to monitor long-term cross-disease interactions within and across populations.