Identification of SARS-CoV-2 variants in indoor dust.

Environmental surveillance of pathogens underlying infectious disease is critical to ensure public health. Recent efforts to track SARS-CoV-2 have utilized wastewater sampling to infer community trends in viral abundance and variant composition. Indoor dust has also been used for building-level inferences, though to date no sequencing data providing variant-scale resolution have been reported from dust samples, and strategies to monitor circulating variants in dust are needed to help inform public health decisions. In this study, we demonstrate that SARS-CoV-2 lineages can be detected and sequenced from indoor bulk dust samples. We collected 93 vacuum bags from April 2021 to March 2022 from buildings on The Ohio State University's (OSU) Columbus campus, and the dust was used to develop and apply an amplicon-based whole-genome sequencing protocol to identify the variants present and estimate their relative abundances. Three variants of concern were detected in the dust: Alpha, Delta, and Omicron. Alpha was found in our earliest sample in April 2021 with an estimated frequency of 100%. Delta was the primary variant present from October of 2021 to January 2022, with an average estimated frequency of 91% (±1.3%). Omicron became the primary variant in January 2022 and was the dominant strain in circulation through March with an estimated frequency of 87% (±3.2%). The detection of these variants on OSU's campus correlates with the circulation of these variants in the surrounding population (Delta p<0.0001 and Omicron p = 0.02). Overall, these results support the hypothesis that dust can be used to track COVID-19 variants in buildings.

Draft Genome Sequences of 11 Lactobacillus jensenii Strains Isolated from the Female Bladder.

Lactobacillus jensenii, a protective bacterium in the vaginal microbiota, is also a member of the female urinary tract community. Here, we report 11 genome sequences of L. jensenii strains isolated from catheterized urine from women. This effort greatly increases our knowledge of the genetic diversity of this species within the bladder.

Gratitude, depression and PTSD: Assessment of structural relationships.

Gratitude, the tendency to appreciate positive occurrences in one's life that can be partially attributed to another person, has been shown to be a robust predictor of greater well-being. Researchers have also found gratitude to be inversely related to several emotional disorders, including major depressive disorder (MDD) and posttraumatic stress disorder (PTSD). Both of these emotional disorders are highly comorbid and share dysphoric symptoms (e.g., restricted affect, detachment, anhedonia) that could account for deficits in the experience and expression of gratitude. We used confirmatory factor analysis to test the relationships between gratitude and the symptom factors of PTSD (using the DSM-5 model) and MDD in a sample of trauma-exposed college students (N=202). Results indicated that gratitude is more strongly related to PTSD's negative alterations in mood and cognition (NAMC) factor than to other PTSD factors. Implications of these findings for the study of gratitude and trauma are discussed, including whether gratitude and gratitude-based interventions might prove particularly suited to targeting depressive symptoms.