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[Display omitted] • C4-C7 PFCAs are predominant in leachate, while FOTHs are dominant in landfill air. • The quality of installed landfill liners is critical for minimizing PFAS leakage. • Activated carbon, ion exchange, and reverse osmosis are effective for treating PFAS in leachate. • Foam fractionation and advanced oxidation are effective per laboratory/pilot scale tests. • Key knowledge gaps in PFAS management at landfills are identified. Landfills have served as the final repository for > 50 % municipal solid wastes in the United States. Because of their widespread uses and persistence in the environment, per- and polyfluoroalkyl substances (PFAS) (>4000 on the global market) are ubiquitously present in everyday consumer, commercial and industrial products, and have been widely detected in both closed (tens ng/L) and active (thousands to ten thousands ng/L) landfills due to disposal of PFAS-containing materials. Along with the decomposition of wastes in-place, PFAS can be transformed and released from the wastes into leachate and landfill gas. Consequently, it is critical to understand the occurrence and transformation of PFAS in landfills and the effectiveness of landfills, as a disposal alternative, for long-term containment of PFAS. This article presents a state-of-the-art review on the occurrence and transformation of PFAS in landfills, and possible effect of PFAS on the integrity of modern liner systems. Based on the data published from 10 countries (250 + landfills), C4-C7 perfluoroalkyl carboxylic acids were found predominant in the untreated landfill leachate and neutral PFAS, primarily fluorotelomer alcohols, in landfill air. The effectiveness and limitations of the conventional leachate treatment technologies and emerging technologies were also evaluated to address PFAS released into the leachate. Among conventional technologies, reverse osmosis (RO) may achieve a high removal efficiency of 90–100 % based on full-scale data, which, however, is vulnerable to the organic fouling and requires additional disposal of the concentrate. Implications of these knowledge on PFAS management at landfills are discussed and major knowledge gaps are identified. [ABSTRACT FROM AUTHOR]

• Relative search volume for losing weight progressively increased from 2004 to 2018. • The UK had the largest average increment speed for a search query of losing weight. • There is a seasonality of losing weight with a peak in the spring months. • A spike of relative search volume was observed in all countries in 2017. This study sought to examine the variation trends and seasonality of losing weight by using the data from Google Trends tool. According to the search term of [lose weight + weight loss], Google Trends data were obtained. Search activity was conducted within the USA, the UK, Canada, Ireland, Australia, and New Zealand from January 01, 2004, to December 31, 2018, utilizing the health category. Dynamic series analysis and the plot of seasonal decomposition of time series show that relative search volume of [lose weight + weight loss] increased from 2004 to 2018 at both national and hemispherical levels. Statistically significant seasonal variations in relative search volume for the term [lose weight + weight loss] were observed using cosinor analyses in the USA (p < 0.001), the UK (p < 0.001), Canada (p < 0.001), Ireland (p < 0.001), Australia (p < 0.001), and New Zealand (p < 0.001), peaking in the spring months and reaching the lowest level in the autumn months. The highest level in spring and the lowest level in autumn were reversed by 6 months in both hemisphere countries, consistent with a seasonal pattern. Our results indicate that Internet search queries for losing weight increased within the timeframe of 2004 to 2018, likely reflecting the rising global public interest. In addition, the present research provided preliminary evidence that there is a seasonality of losing weight with a peak in the spring months. [ABSTRACT FROM AUTHOR]

Background: Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing., Methods: The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap., Results: We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10 -8 ) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways., Conclusions: We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response., (© 2021. The Author(s).)