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Isoprostanes in wastewater as biomarkers of oxidative stress during COVID-19 pandemic.

ABSTRACT: Isoprostanes are the potential biomarkers of endogenous human metabolism and proven clinically to provide the quantitative measure of systematic oxidative injury. An ultra-performance liquid chromatography-tandem mass spectrometric analytical method capable of determining four biomarkers of oxidative stress (8-iso-PGF2α, 2,3-dinor-iPF2α-III, PGE2, and 5-iPF2α-VI) in wastewater was developed and validated. Isoprostanes were quantified in the range of 31.1-1270 ng/L in raw wastewater samples in two communities in western Kentucky and Tennessee during the first four months of the COVID-19 pandemic. Consistent detection of PGE2 and 5-iPF2α-VI in wastewater suggested that PGE2 and 5-iPF2α-VI can be a reliable biomarker of community oxidative anxiety. The higher 4-month average mass load of isoprostanes [(ranged from 22.9 mg/d/1000 people to 807 mg/d/1000 people] may be attributed to the elevated community level oxidative anxiety owing COVID-19 uncertainties. The average mass loads of PGE2 and 5-iPF2α-VI in a community were significantly increased (two-tailed p < 0.001) from the first month of COVID-19 pandemic to the second month; however, significantly decreased (two-tailed p < 0.001) in the third month. Wastewater-based-epidemiological determination of isoprostanes can be a near-real-time and cost-effective approach of a trend in community depression. This is the first report of the quantification of PGE2 and 5-iPF2α-VI in wastewater and estimation of the community level oxidative anxiety.

SUBMITTER: Bowers I

PROVIDER: S-EPMC7778527 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The potential utility of wastewater-based epidemiology as an early warning tool has been explored widely across the globe during the current COVID-19 pandemic. Methods to detect the presence of SARS-CoV-2 RNA in wastewater were developed early in the pandemic, and extensive work has been conducted to evaluate the relationship between viral concentration and COVID-19 case numbers at the catchment areas of sewage treatment works (STWs) over time. However, no attempt has been made to develop a model that predicts wastewater concentration at fine spatio-temporal resolutions covering an entire country, a necessary step towards using wastewater monitoring for the early detection of local outbreaks. We consider weekly averages of flow-normalised viral concentration, reported as the number of SARS-CoV-2N1 gene copies per litre (gc/L) of wastewater available at 303 STWs over the period between 1 June 2021 and 30 March 2022. We specify a spatially continuous statistical model that quantifies the relationship between weekly viral concentration and a collection of covariates covering socio-demographics, land cover and virus associated genomic characteristics at STW catchment areas while accounting for spatial and temporal correlation. We evaluate the model's predictive performance at the catchment level through 10-fold cross-validation. We predict the weekly viral concentration at the population-weighted centroid of the 32,844 lower super output areas (LSOAs) in England, then aggregate these LSOA predictions to the Lower Tier Local Authority level (LTLA), a geography that is more relevant to public health policy-making. We also use the model outputs to quantify the probability of local changes of direction (increases or decreases) in viral concentration over short periods (e.g. two consecutive weeks). The proposed statistical framework can predict SARS-CoV-2 viral concentration in wastewater at high spatio-temporal resolution across England. Additionally, the probabilistic quantification of local changes can be used as an early warning tool for public health surveillance.

Project description:IntroductionThe risk of getting SARS-CoV-2 infection, worries about exposing loved ones, anxiety and frustration, emotional and physical exhaustion, burn out, a feeling of being overwhelmed, and struggles and challenges with parenting are a few among many factors that affect nurses' personal lives and professional functioning. The aim of the research is to assess nurses' level of stress during the COVID-19 pandemic and their sense of self-efficacy, and to learn what coping strategies they use.Methodology/methodsThe study was carried out online and based on the diagnostic poll method, using an original survey questionnaire, the General Self-Efficacy Scale (GSES 10-40), the Mini-COPE questionnaire (0-3), and the Perceived Stress Scale PSS-10 (0-40). The respondent group was made up of nurses (n = 220) who provide health services in inpatient and outpatient health care institutions in the northeastern region of Poland. The statistical analysis was performed using the STATISTICA 13.0 package (StatSoft). The distribution of variables was checked with Shapiro-Wilk tests. The Mann-Whitney U test was used to compare two independent samples, while the Kruskal-Wallis test was used to compare more samples. The adopted statistical significance level was p < 0.05. Multivariate regression analysis was applied to determine which factors were related to the level of stress.ResultsThe mean age of the participants was 43.3 years. The vast majority were women (96.4). The mean work experience of the nurses was over 20 years (58.2%). A total of 62.3% worked directly with patients in hospitals, including 11.8% respondents working at COVID-19 units and 37.7% working at primary care institutions. The analyses show that the respondents represented a high level of stress (PSS-10 - 20.9), related to their work experience as a nurse (β -0.250, p = 0.014), the number of hours worked a month (β 0.156, p = 0.015), and self-assessed health status (β -0.145, p = 0.037). They declared an average sense of self-efficacy (GSES - 29.1), which significantly depended on the nurses' places of employment (p = 0.044). Out of stress coping strategies (Mini-COPE), the younger nurses mentioned venting (p = 0.010), instrumental support (p = 0.011), sense of humour (p = 0.013) and self-blame (0.031). Practice nurses also chose the strategy of behavioral disengagement (p = 0.032), and nurse managers chose the strategy of planning (p = 0.018).ConclusionsThe experience of the COVID-19 pandemic highlights the need to implement some strategies to protect nurses' mental health and to take extensive prevention measures in critical situations. Special attention should be given to nurses who are younger and have shorter work experience. It is also important to monitor nurses' working time and health status, and those who work at outpatient health care institutions should be given more support and information.

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Isoprostanes in wastewater as biomarkers of oxidative stress during COVID-19 pandemic.

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