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Coral bleaching is a well-documented and increasingly widespread phenomenon in reefs across the globe, yet there has been relatively little research on the implications for reef water column microbiology and biogeochemistry. A mesocosm heating experiment and bottle incubation compared how unbleached and bleached corals alter dissolved organic matter (DOM) exudation in response to thermal stress and subsequent effects on microbial growth and community structure in the water column. Thermal stress of healthy corals tripled DOM flux relative to ambient corals. DOM exudates from stressed corals (heated and/or previously bleached) were compositionally distinct from healthy corals and significantly increased growth of bacterioplankton, enriching copiotrophs and putative pathogens. Together these results demonstrate how the impacts of both short-term thermal stress and long-term bleaching may extend into the water column, with altered coral DOM exudation driving microbial feedbacks that influence how coral reefs respond to and recover from mass bleaching events.

Pacific Arts N.S. Vol. 24, No. 1 (2024) Full Issue

Calls for participation, conferences, exhibitions, new publications, position announcements, PAA membership

Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has shown wastewater (WW) surveillance to be an effective means of tracking the emergence of viral lineages which arrive by many routes of transmission including via transportation hubs. In the Canadian province of Ontario, numerous municipal wastewater treatment plants (WWTPs) participate in WW surveillance of infectious disease targets such as SARS-CoV-2 by qPCR and whole genome sequencing (WGS). The Greater Toronto Airports Authority (GTAA), operator of Toronto Pearson International Airport (Toronto Pearson), has been participating in WW surveillance since January 2022. As a major international airport in Canada and the largest national hub, this airport is an ideal location for tracking globally emerging SARS-CoV-2 variants of concern (VOCs). In this study, WW collected from Toronto Pearson’s two terminals and pooled aircraft sewage was processed for WGS using a tiled-amplicon approach targeting the SARS-CoV-2 virus genome. Data generated was analyzed to monitor trends of SARS-CoV-2 lineage frequencies. Initial detections of emerging lineages were compared between Toronto Pearson WW samples, municipal WW samples collected from the surrounding regions, and Ontario clinical data as published by Public Health Ontario. Results enabled the early detection of VOCs and individual mutations emerging in Ontario. On average, the emergence of novel lineages at the airport preceded clinical detections by 1–4 weeks, and up to 16 weeks in one case. This project illustrates the efficacy of WW surveillance at transitory transportation hubs and sets an example that could be applied to other viruses as part of a pandemic preparedness strategy and to provide monitoring on a mass scale.

Abstract Background In the general population the prevalence of adolescent idiopathic scoliosis (AIS) is 2–3%. There is growing awareness of how AIS affects the quality of life of patients. However, the extent of the societal burden AIS poses remains poorly understood. Therefore, this study aimed to determine the societal burden of AIS. Methods A cross-sectional burden of disease study was conducted using a bottom-up, prevalence-based approach. Patients with AIS or guardians of a child diagnosed with AIS residing in the Netherlands were eligible for inclusion. The survey was distributed between June - December 2022 and was completed once by each participant. Costs were assessed using the institute for Medical Technology Assessment - Medical Consumption and Productivity Cost Questionnaires. The health-related quality of life (HRQoL) was assessed using the EuroQol 5D-5L/EuroQol 5D Youth and the Scoliosis Research Society-22 revised questionnaires. Costs and HRQoL were identified, measured, and valued. Results Participants (n = 229) were predominantly female (92%), on average 35 years old, and were employed (65%). The societal cost for a patient with AIS in the Netherlands was €12,275 per year. The largest costs were estimated for the healthcare and productivity losses. The mean utility score for adults was 0.7 (SD 0.20). Severe pain was experienced by 10% of the adult participants and 44% reported to experience moderate pain/discomfort. Statistically significant differences between different age groups were present for the sector costs and HRQoL. Conclusions AIS negatively impacts societal costs and the HRQoL. Reducing the burden that is posed on the productivity sector by AIS and further improving the HRQoL for AIS patients is needed.

Societal Impact Statement New sources of essential and other nutritionally and/or pharmacologically important fatty acids for human use can be discovered through bioprospecting. Demonstrating how fatty acids in plants and algae are distributed across a phylogeny is a critical first step in this process. Here, new sources of essential omega‐3 fatty acids that are critically important to human health were identified, such as green and Chromista algae, bryophytes and some angiosperm families. The identification of certain taxa that are high in critical fatty acids is important for developing new sources of these healthful compounds. Summary Essential fatty acids (EFA) including long‐chain omega‐3 and omega‐6 EFA are key nutrients that broadly support the health of individuals and the ecosystems they inhabit. Production of these EFA is critical to global nutritional security, and therefore, it is imperative to assess the distribution patterns of FA in plants to bioprospect new resources that do not threaten biodiversity. We used a meta‐analytic approach (phylogenetic signal analysis), which incorporated a wide variety of taxa to map FA profiles including both presence and abundance of specific FA and EFA onto a plant phylogeny including algae, bryophytes, pteridophytes, gymnosperms and angiosperms. Our phylogenetic signal analysis revealed that presence/absence of most FA of interest were randomly or ubiquitously distributed, while FA content was significantly clustered in specific clades for most key FA (including eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) and nervonic acid). Both green and Chromista algae displayed relatively high proportions of EPA and DHA, while green algae contained higher proportional amounts of stearidonic acid (SDA). Further, signal analysis revealed high proportional content of gamma‐linoleic acid (GLA) in bryophytes and some angiosperm families, suggesting potential sources for bioprospecting GLA. This analysis provides a crucial foundation for understanding the influence of phylogenetic relationships in the relative proportions of key FA in plants and algae across a diverse phylogeny. Furthermore, in demonstrating how fatty acids in plants and algae are distributed across a phylogeny, we provide a critical first step in bioprospecting for new sources of essential and other nutritionally‐ and/or pharmacologically important fatty acids for human use.

Abstract An established hallmark of cancer cells is metabolic reprogramming, largely consisting in the exacerbated glucose uptake. Adipocytes in the tumor microenvironment contribute toward breast cancer (BC) progression and are highly responsive to metabolic fluctuations. Metabolic conditions characterizing obesity and/or diabetes associate with increased BC incidence and mortality. To explore BC-adipocytes interaction and define the impact of glucose in such dialogue, Mammary Adipose-derived Mesenchymal Stem Cells (MAd-MSCs) were differentiated into adipocytes and co-cultured with ER+ BC cells while exposed to glucose concentration resembling hyperglycemia or normoglycemia in humans (25mM or 5.5mM). The transcriptome of both cell types in co-culture as in mono-culture was profiled by RNA-Seq to define the impact of adipocytes on BC cells and viceversa (i), the action of glucose on BC cells, adipocytes (ii) and their crosstalk (iii). Noteworthy, we provided evidence that co-culture with adipocytes in a glucose-rich environment determined a re-program of BC cell transcriptome driving lipid accumulation, a hallmark of BC aggressiveness, promoting stem-like properties and reducing Tamoxifen responsiveness. Moreover, our data point out to a transcriptional effect through which BC cells induce adipocytes de-lipidation, paralleled by pluripotency gain, as source of lipids when glucose lowering occurs. Thus, modulating plasticity of peri-tumoral adipocytes may represent a key point for halting BC progression in metabolically unbalanced patients.

Abstract During the COVID-19 pandemic, the Province of Ontario, Canada, launched a wastewater surveillance program to monitor SARS-CoV-2, inspired by the early work and successful forecasts of COVID-19 waves in the city of Ottawa, Ontario. This manuscript presents a dataset from January 1, 2021, to March 31, 2023, with RT-qPCR results for SARS-CoV-2 genes and PMMoV from 107 sites across all 34 public health units in Ontario, covering 72% of the province’s and 26.2% of Canada’s population. Sampling occurred 2–7 times weekly, including geographical coordinates, serviced populations, physico-chemical water characteristics, and flowrates. In doing so, this manuscript ensures data availability and metadata preservation to support future research and epidemic preparedness through detailed analyses and modeling. The dataset has been crucial for public health in tracking disease locally, especially with the rise of the Omicron variant and the decline in clinical testing, highlighting wastewater-based surveillance’s role in estimating disease incidence in Ontario.

(ADHD) is a chronic condition that affects millions of children and often persists into adulthood. ADHD Children are always looking for things to interact with. In addition, awareness advertising message lack the interactivity and engagement factors, especially when the target audience are ADHD children. Therefore, Employing the awareness advertising message in interactive clothes is suitable for this group and helps them improve the psychomotor disorders they suffer from, because it modifies the behavioral patterns of them to reduce the negative psychological effects of the disease and to control their behavioral health patterns. The aim of this study is to help children with ADHD overcome the negative effects they are experiencing psychologically and socially. The research methodology is a combination of descriptive study and statistical analytical study, and the result of the research appears by studying the role of creating interactive clothes that attract children with ADHD and enriching its design with an awareness message and how it can help them interact with society and break social phobia. Followed by a statistical analysis of four practical designs of clothes that were designed as an interactive game and the addition of an awareness message that helps children with ADHD on psychological and emotional balance by feeling comfortable and adding the possibility of interacting with clothes and playing through them, helped to get out of the state of boredom that (ADHD) child usually feels, as well as making him/her distinguished in the society, and able to make new friendships.

Wastewater-based epidemiology (WBE) emerged during the coronavirus disease 2019 (COVID-19) pandemic as a scalable and broadly applicable method for community-level monitoring of infectious disease burden. The lack of high-resolution fecal shedding data for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) limits our ability to link WBE measurements to disease burden. In this study, we present longitudinal, quantitative fecal shedding data for SARS-CoV-2 RNA, as well as for the commonly used fecal indicators pepper mild mottle virus (PMMoV) RNA and crAss-like phage (crAssphage) DNA. The shedding trajectories from 48 SARS-CoV-2-infected individuals suggest a highly individualized, dynamic course of SARS-CoV-2 RNA fecal shedding. Of the individuals that provided at least three stool samples spanning more than 14 days, 77% had one or more samples that tested positive for SARS-CoV-2 RNA. We detected PMMoV RNA in at least one sample from all individuals and in 96% (352/367) of samples overall. CrAssphage DNA was detected in at least one sample from 80% (38/48) of individuals and was detected in 48% (179/371) of all samples. The geometric mean concentrations of PMMoV and crAssphage in stool across all individuals were 8.7 × 104 and 1.4 × 104 gene copies/milligram-dry weight, respectively, and crAssphage shedding was more consistent for individuals than PMMoV shedding. These results provide us with a missing link needed to connect laboratory WBE results with mechanistic models, and this will aid in more accurate estimates of COVID-19 burden in sewersheds. Additionally, the PMMoV and crAssphage data are critical for evaluating their utility as fecal strength normalizing measures and for source-tracking applications. IMPORTANCE This research represents a critical step in the advancement of wastewater monitoring for public health. To date, mechanistic materials balance modeling of wastewater-based epidemiology has relied on SARS-CoV-2 fecal shedding estimates from small-scale clinical reports or meta-analyses of research using a wide range of analytical methodologies. Additionally, previous SARS-CoV-2 fecal shedding data have not contained sufficient methodological information for building accurate materials balance models. Like SARS-CoV-2, fecal shedding of PMMoV and crAssphage has been understudied to date. The data presented here provide externally valid and longitudinal fecal shedding data for SARS-CoV-2, PMMoV, and crAssphage which can be directly applied to WBE models and ultimately increase the utility of WBE.

Introduction The early years are a critical period for establishing healthy 24-hour movement behaviours (physical activity, sedentary behaviour and sleep), yet studies examining prospective associations between all 24-hour movement behaviours and young children’s growth and development are lacking. The My Little Moves study aims to (1) examine the prospective association between 24-hour movement behaviours of young children (ie, 0–4 years) and their growth, motor and social–emotional development; and (2) explore potential determinants of young children’s 24-hour movement behaviours from an ecological perspective, to inform public health strategies aimed at promoting healthy behaviours and development.Methods and analysis My Little Moves is a longitudinal observational cohort study, with data collection at baseline, and after 9 and 18 months follow-up. Data are collected in three subcohorts. In all subcohorts, 24-hour movement behaviours are assessed by parent-report. Additionally in subcohort 1, data on potential determinants are collected by parental questionnaires, including child, parental and environmental factors. In subcohort 2, social–emotional development is assessed using the Dutch version of the Bayley Scales of Infant and Toddler Development-third edition (Bayley-III-NL) Social Emotional Scale. In subcohort 3, data on height and weight, gross motor development, using the Bayley-III-NL Gross Motor Scale, and 7 consecutive days of 24-hour accelerometer data are collected. Hybrid model analyses are used to assess the prospective associations of 24-hour movement behaviours with young children’s growth and development. Potential determinants of young children’s 24-hour movement behaviours are explored using regression analysis.Ethics and dissemination The Medical Ethics Committee of the VU University Medical Center approved the protocol for the My Little Moves study (2022.0020). The results of this study will be disseminated through the network of all authors, to inform public health strategies for promoting healthy 24-hour movement behaviours and contribute to the evidence-base of recommendations for ideal 24-hour movement behaviours in young children.

Introduction Strabismus influences health-related quality of life. Individuals may have functional and psychosocial consequences of strabismus that impact their well-being. As strabismus is prevalent in all age groups, patients are seen in varied specialties in healthcare organizations. Therefore, healthcare professionals need to be aware of the psychosocial consequences when caring for strabismic individuals. Objective To describe strabismic adults’ experiences of the psychosocial influence of strabismus. Methods Twelve strabismic adults participated in face-to-face or online semistructured individual interviews to share their experiences of the psychosocial influence of strabismus. The participants were selected purposefully. The data were analyzed using inductive content analysis. Results The participating adults described challenges with social environments, which showed stress in social situations and pressure in interactions. Strabismic adults had experienced staring from others, avoided social situations, and were uncomfortable with photography. They hid their strabismus, avoided eye contact, and struggled with intimate relationships. They also expressed struggles with mental well-being, which were emotional and psychological burdens. The adults described feeling negative emotions, worry, and irritation due to their condition. Struggles with self-confidence, difficulties with acceptance, negative thoughts about their appearance, experiences of bullying, and dealing with being different were described. Conclusion Strabismic adults experience psychosocial consequences of strabismus, influencing their psychosocial health-related quality of life. Further studies should focus on how healthcare professionals could support strabismic individuals’ psychosocial well-being.

Summary: Background: 1H-NMR metabolomics and DNA methylation in blood are widely known biomarkers predicting age-related physiological decline and mortality yet exert mutually independent mortality and frailty signals. Methods: Leveraging multi-omics data in four Dutch population studies (N = 5238, ∼40% of which male) we investigated whether the mortality signal captured by 1H-NMR metabolomics could guide the construction of DNA methylation-based mortality predictors. Findings: We trained DNA methylation-based surrogates for 64 metabolomic analytes and found that analytes marking inflammation, fluid balance, or HDL/VLDL metabolism could be accurately reconstructed using DNA-methylation assays. Interestingly, a previously reported multi-analyte score indicating mortality risk (MetaboHealth) could also be accurately reconstructed. Sixteen of our derived surrogates, including the MetaboHealth surrogate, showed significant associations with mortality, independent of relevant covariates. Interpretation: The addition of our metabolic analyte-derived surrogates to the well-established epigenetic clock GrimAge demonstrates that our surrogates potentially represent valuable mortality signal. Funding: BBMRI-NL, X-omics, VOILA, Medical Delta, NWO, ERC.

Abstract Quorum sensing (QS) is a complex communication system in bacteria, directing their response to the environment. QS is also one of the main regulators of bacterial biofilms’ formation, maturation and dispersion. Matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI) is a molecular imaging technique that allows the mapping of QS molecules in bacterial biofilms. Here, we highlight the latest advances in MALDI-MSI in recent years and how this technology can improve QS understanding at the molecular level.

Abstract Continuous glucose monitoring (CGM) is a promising, minimally invasive alternative to plasma glucose measurements for calibrating physiology-based mathematical models of insulin-regulated glucose metabolism, reducing the reliance on in-clinic measurements. However, the use of CGM glucose, particularly in combination with insulin measurements, to develop personalized models of glucose regulation remains unexplored. Here, we simultaneously measured interstitial glucose concentrations using CGM as well as plasma glucose and insulin concentrations during an oral glucose tolerance test (OGTT) in individuals with overweight or obesity to calibrate personalized models of glucose-insulin dynamics. We compared the use of interstitial glucose with plasma glucose in model calibration, and evaluated the effects on model fit, identifiability, and model parameters’ association with clinically relevant metabolic indicators. Models calibrated on both plasma and interstitial glucose resulted in good model fit, and the parameter estimates associated with metabolic indicators such as insulin sensitivity measures in both cases. Moreover, practical identifiability of model parameters was improved in models estimated on CGM glucose compared to plasma glucose. Together these results suggest that CGM glucose may be considered as a minimally invasive alternative to plasma glucose measurements in model calibration to quantify the dynamics of glucose regulation.