Health Implications Research Articles

Contrasting responses of commercially important Northwest Atlantic bivalve species to ocean acidification and temperature conditions

Modern calcifying marine organisms face numerous environmental stressors, including overfishing, deoxygenation, increasing ocean temperatures, and ocean acidification (OA). Coastal marine settings are predicted to become warmer and more acidic in coming decades, heightening the risks of extreme events such as marine heat waves. Given these threats, it is important to understand the vulnerabilities of marine organisms that construct their shells from calcium carbonate, which are particularly susceptible to warming and decreasing pH levels. To investigate the response of four commercially relevant bivalve species to OA and differing temperatures, juvenile Mercenaria mercenaria (hard shell clams), juvenile Mya arenaria (soft shell clams), adult and juvenile Arctica islandica (ocean quahog), and juvenile Placopecten magellanicus (Atlantic sea scallops) were grown in varying pH and temperature conditions. Species were exposed to four controlled pH conditions (7.4, 7.6, 7.8, and ambient/8.0) and three controlled temperature conditions (6, 9, and 12°C) for 20.5 weeks and then shell growth and coloration were analyzed. This research marks the first direct comparison of these species’ biological responses to both temperature and OA conditions within the same experiment. The four species exhibited varying responses to temperature and OA conditions. Mortality rates were not significantly associated with pH or temperature conditions for any of the species studied. Growth (measured as change in maximum shell height) was observed to be higher in warmer tanks for all species and was not significantly impacted by pH. Two groups (juvenile M. arenaria and juvenile M. mercenaria) exhibited lightening in the color of their shells at lower pH levels at all temperatures, attributed to a loss of shell periostracum. The variable responses of the studied bivalve species, despite belonging to the same phylogenetic class and geographic region, highlights the need for further study into implications for health and management of bivalves in the face of variable stressors.

Variable effects of transient Wolbachia infections on alphaviruses in Aedes aegypti.

Wolbachia pipientis (= Wolbachia) has promise as a tool to suppress virus transmission by Aedes aegypti mosquitoes. However, Wolbachia can have variable effects on mosquito-borne viruses. This variation remains poorly characterized, yet the multimodal effects of Wolbachia on diverse pathogens could have important implications for public health. Here, we examine the effects of transient somatic infection with two strains of Wolbachia (wAlbB and wMel) on the alphaviruses Sindbis virus (SINV), O'nyong-nyong virus (ONNV), and Mayaro virus (MAYV) in Ae. aegypti. We found variable effects of Wolbachia including enhancement and suppression of viral infections, with some effects depending on Wolbachia strain. Both wAlbB- and wMel-infected mosquitoes showed enhancement of SINV infection rates one week post-infection, with wAlbB-infected mosquitoes also having higher viral titers than controls. Infection rates with ONNV were low across all treatments and no significant effects of Wolbachia were observed. The effects of Wolbachia on MAYV infections were strikingly strain-specific; wMel strongly blocked MAYV infections and suppressed viral titers, while wAlbB had more modest effects. The variable effects of Wolbachia on vector competence underscore the importance of further research into how this bacterium impacts the virome of wild mosquitoes including the emergent human pathogens they transmit.

Microfluidic and impedance analysis of rosemary essential oil: implications for dental health

BackgroundOral health is closely linked to systemic conditions, particularly non-communicable diseases (NCDs), which can exacerbate oral issues. Essential oils (EOs) have emerged as potential alternatives for oral health due to their antibacterial, anti-inflammatory, and antioxidant properties. Among these, rosemary essential oil (REO) shows promise due to its various biological activities. This study investigates the potential of REO in dental applications using microfluidic devices and electrochemical impedance spectroscopy (EIS) to analyze the electrical properties of REO in artificial saliva (AS) mixtures.ResultsThe study demonstrated significant variations in impedance across different REO concentrations and their mixtures with AS. Higher impedance was observed in REO mixtures, particularly at lower frequencies, indicating distinct electrical properties compared to pure AS. The impedance of REO was influenced by its concentration, with a 1% REO solution showing higher impedance than a 4% solution, possibly due to micelle formation and changes in dielectric properties. Additionally, microfluidic devices enabled precise control over fluid interactions and real-time monitoring, offering valuable insights into REO's behavior in a simulated oral environment. The impedance data demonstrated significant differences in REO–AS mixtures, highlighting potential interactions critical for oral care applications.ConclusionsRosemary essential oil exhibits unique electrical properties, making it a promising candidate for dental applications, particularly in preventing and treating oral diseases. Microfluidic devices enhance the accuracy and reliability of studying REO's interactions with AS, providing a robust platform for future dental research. The findings suggest that REO could be effectively incorporated into oral care products, offering a natural alternative for combating oral pathogens, reducing inflammation, and protecting against oxidative stress. Future research should focus on clinical trials to validate these findings and explore the synergistic effects of REO with other essential oils.

Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors.

Human metabolomics has made significant strides in understanding metabolic changes and their implications for human health, with promising applications in diagnostics and treatment, particularly regarding the gut microbiome. However, progress is hampered by issues with data comparability and reproducibility across studies, limiting the translation of these discoveries into practical applications. This study aims to evaluate the fit-for-purpose of a suite of human stool samples as potential candidate reference materials (RMs) and assess the state of the field regarding harmonizing gut metabolomics measurements. An interlaboratory study was conducted with 18 participating institutions. The study allowed for the use of preferred analytical techniques, including liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance (NMR). Different laboratories used various methods and analytical platforms to identify the metabolites present in human stool RM samples. The study found a 40% to 70% recurrence in the reported top 20 most abundant metabolites across the four materials. In the full annotation list, the percentage of metabolites reported multiple times after nomenclature standardization was 36% (LC-MS), 58% (GC-MS) and 76% (NMR). Out of 9,300 unique metabolites, only 37 were reported across all three measurement techniques. This collaborative exercise emphasized the broad chemical survey possible with multi-technique approaches. Community engagement is essential for the evaluation and characterization of common materials designed to facilitate comparability and ensure data quality underscoring the value of determining current practices, challenges, and progress of a field through interlaboratory studies.

Increasing coil temperature of a third-generation e-cigarette device modulates C57BL/6 mouse lung immune cell composition and cytokine milieu independently of aerosol dose

ABSTRACT Higher coil temperature in e-cigarette devices increases the formation of aerosols and toxicants, such as carbonyls. At present, the health implications of vaping at higher temperatures, including exacerbation of pulmonary inflammation, are largely unknown when aerosol dose is considered. To isolate the pulmonary effects of coil temperature, C57BL/6 mice were exposed to e-cigarette aerosols generated at lower (190°C) or higher (250°C) temperature for 3 days, while maintaining a similar chamber aerosol concentration. Increasing coil temperature did not markedly alter aerosol mass-normalized emissions of select carbonyls formed from thermal degradation pathways including formaldehyde, acetaldehyde, propionaldehyde, and acetone under the tested environment. Total bronchoalveolar cells, primarily macrophages, were significantly decreased in mice exposed to aerosols generated with higher coil temperatures compared to lower temperature exposures. The gene expression of IFNβ, IL-1β, TNFα, and IL-10 in mouse lung tissue was significantly reduced following e-cigarette exposure under both conditions, compared to filtered air exposure. Higher temperature exposures further exacerbated downregulation of IFNβ and IL-1β. Data suggest that higher temperature vaping might modulate acute pulmonary immune responses, potentially inducing immune suppression, even when normalized for aerosol dose exposure. Coil temperature thus appears to be an important parameter that needs to be regulated to ensure harm reduction for e-cigarette users.

Displacement Factors for Aerosol Emissions From Alternative Forest Biomass Use

ABSTRACTSubstituting alternative materials and energy sources with forest biomass can cause significant environmental consequences, such as alteration in the released emissions which can be described by displacement factors (DFs). Until now, DFs of wood‐based materials have included greenhouse gas (GHG) emissions and have been associated with lower fossil and process‐based emissions than non‐wood counterparts. In addition to GHGs, aerosols released in combustion processes, for example, alter radiative forcing in the atmosphere and consequently have an influence on climate. In this study, the objective was to quantify the changes in the most important aerosol emission components for cases when wood‐based materials and energy were used to replace the production of high‐density polyethylene (HDPE) plastic, common fossil‐based construction materials (concrete, steel and brick), non‐wood textile materials and energy produced by fossil fuels and peat. For this reason, we expanded the DF calculations to include aerosol emissions of total suspended particles (TSP), respirable particulate matter (PM10), fine particles (PM2.5), black carbon (BC), nitrogen oxides (NOx), sulphur dioxide (SO2) and non‐methane volatile organic compounds (NMVOCs) based on the embodied energies of materials and energy sources. The DFs for cardboard implied a decrease in BC, SO2 and NMVOC emissions but an increase in the other emission components. DFs for sawn wood mainly indicated higher emissions of both particles and gaseous emissions compared to non‐wood counterparts. DFs for wood‐based textiles demonstrated increased particle emissions and reduced gaseous emissions. DFs for energy biomass mainly implied an increase in emissions, especially if biomass was combusted in small‐scale appliances. Our main conclusion highlights the critical need to thoroughly assess how using forest biomass affects aerosol emissions. This improved understanding of the aerosol emissions of the forestry sector is crucial for a comprehensive evaluation of the climate and health implications associated with forest biomass use.

Incidence, Risk Factors and Predictors of Phantom Shocks in Patients with Implantable Cardioverter Defibrillators: State-of-the-art Review

Background: Extensive research has been devoted to ICDs, but there is still a significant gap in the literature regarding phantom shocks (PSs). Understanding the frequency, predictors, risk factors, management and health implications of PSs is essential. This review aimed to comprehensively investigate PSs in patients with ICDs up to the present day. Specifically, the review explores the incidence of PSs, identifies risk factors that may increase their likelihood and determines predictive factors to help anticipate their occurrence. By addressing these points, the study aimed to enhance the understanding and management of PSs in ICD patients. Methods: This study reviewed central databases from their inception up to March 2024. The primary objective was to examine the occurrence of PSs in patients with ICDs. Data were gathered on patient demographics, incidence rates, and various risk factors and predictors that might affect the occurrence of PSs. Then, a detailed analysis of the collected data was conducted to identify significant associations between these risk factors, predictors and the incidence of PSs. Results: This review identified a significant association between prior ICD shocks, defibrillation threshold testing, the presence of depression and anxiety for the occurrence of PS in patients with ICDs. This underscores the importance of thoroughly evaluating and managing these factors to improve the care of individuals with ICDs. Conclusion: PSs are often associated with various factors, such as previous shock therapy, defibrillation threshold testing, depression, anxiety and higher levels of education. It is crucial for healthcare providers to acknowledge these correlations and provide personalised care to patients experiencing PSs.

Appraising the life-course impact of Epstein-Barr virus exposure and its genetic signature on periodontitis.

Periodontitis arises from a multifaceted interplay of environmental variables and genetic susceptibility, where microbial infection plays an indispensable part. Epstein-Barr virus (EBV) exposure has long been considered associated with periodontitis activity; however, the causal relationship and genetic connection between them remain unknown. Within a life-course context, our study employed comprehensive Mendelian randomization (MR) methods, including univariable, multivariable, Bayesian model averaging, and reverse MR, to investigate the causal association between EBV exposure and periodontitis. Additionally, linkage disequilibrium score regression and colocalization analysis were utilized to assess the cross-trait genetic correlations, followed by transcriptome-wide association and enrichment analysis to discern the genetic-phenotypic biological profiles. Heightened levels of EBV antibodies, particularly early antigen diffuses (which serve as indicators of early infection or reactivation), are associated with an increased risk of periodontitis (odds ratio [OR]: 1.27 [1.09-1.47],p=6.05×10-3) and demonstrate a significant genetic correlation (p=4.11×10-3). This pathogenesis may involve the high-confidence causal gene RNASEK located in 17p13.1. Genetically predicted early-life anti-EBV immunoglobulin G (IgG) levels are correlated to a reduced periodontitis risk (OR: 0.89 [0.82-0.97],p=1.76×10-3). The present study highlights the impact of life-course EBV exposure and its genetic hallmark on periodontitis, providing novel perspectives into the underlying pathogenesis and management strategies for EBV-related periodontitis. These findings underscore diverse clinical and public health implications, encompassing antiviral therapies, viral vaccination strategies, and tailored interventions for individualized periodontitis management. Further research is required to validate and expand upon our findings. Periodontitis is a chronic inflammatory disease driven by interactions between microbial pathogens and the host immune system. While bacteria have traditionally been the focus of research, recent studies highlight the significance of virus-bacteria interactions, particularly the role of Epstein-Barr virus (EBV)-a herpesvirus infecting over 90% of the global population-in the development of periodontitis. However, the underlying causal and genetic mechanisms remain unclear. Our study employed genome-wide multi-omics approaches to investigate the link between EBV exposure and periodontitis. We found that recent EBV infection or reactivation increases the risk of periodontitis, whereas early-life exposure, possibly enabling immune resistance, may reduce it. Essential genes were identified as potential mediators, including CRTC3-AS1, HLA-DQA1, and RNASEK. These findings provide novel insights into the EBV-periodontitis connection. For example, viral testing and control could benefit patients unresponsive to standard bacterial treatments, and early viral exposure via vaccination might reduce the risk of periodontitis. Further clinical studies are required to elucidate these underlying mechanisms and the contribution of virus-bacteria interactions.

Assessing the Fiscal Burden of Overweight and Obesity in Japan through Application of a Public Economic Framework.

Introduction: Obesity continues to represent a significant public health concern, with a broad impact from both a health and economic perspective. Objective: This analysis assesses the fiscal consequences of overweight and obesity (OAO) in Japan by capturing obesity-attributable lost tax revenue and increased government transfers using a government perspective. Methods: The fiscal burden of OAO was estimated using an age-specific prevalence model, which tracked the Japanese population across different body mass index (BMI) categories. The model was populated with fiscal data for Japan, including employment activity and government spending, to calculate tax revenue and transfer costs. A targeted literature review was conducted to identify data estimating the impact of OAO on employment, income, sick leave, retirement, and mortality. These modifiers were applied to Japanese epidemiological and fiscal projections to calculate government tax revenue and spending. The incremental impact of reducing OAO in the general population was subsequently calculated. Results were estimated based on the 2023 Japanese working-age population aged 18 to 70 years. Results: The total fiscal burden of OAO in Japan, defined as BMI of at least 25, is estimated at US 6.3 billion (¥901 billion) and 5.4 billion (¥769 billion), while additional pension payment spending of $0.5 billion (¥77 billion) was estimated, due to higher levels of early retirement. Conclusions: While the health implications of OAO are well documented, this fiscal analysis demonstrates the significant economic burden of OAO both to the healthcare system and broader government accounts. Policies aimed at reducing population-level obesity have the potential to benefit government accounts through increasing employment and reducing public spending, which can offset the cost of implementing these policies.

Interaction Effects Between Low Self-Control and Meaning in Life on Internet Gaming Disorder Symptoms and Functioning in Chinese Adolescents: Cross-Sectional Latent Moderated Structural Equation Modeling Study.

Internet gaming disorder (IGD) is an emerging behavioral addiction with mental health implications among adolescents. Low self-control is an established risk factor of IGD. Few studies have, however, examined the moderating role of meaning in life (MIL) on the relationships between low self-control and IGD symptoms and functioning. This study aimed to examine the effects of low self-control and MIL and their interaction effects on IGD symptoms and family and school functioning in a structural equation model. A sample of 2064 adolescents (967, 46.9% male; mean age 14.6 years) was recruited by multistage cluster random sampling from 5 middle schools in Sichuan, China, in 2022. The participants completed a self-report questionnaire with validated measures on low self-control, presence of MIL, search for MIL, IGD symptoms, school commitment, and family functioning. Construct validity, measurement invariance, and structural invariance of the measures were evaluated by confirmatory factor analysis across sex. Structural equation modeling was conducted to examine the indirect effects of low self-control and MIL on family and school functioning through IGD symptoms. Latent moderated structural equation modeling was performed to examine the interaction effects between low self-control and MIL on IGD symptoms, school commitment, and family functioning. All scales showed satisfactory model fit and scalar measurement invariance by sex. Males showed significantly greater IGD symptoms and lower levels of self-control (Cohen d=0.25-1.20, P<.001) than females. IGD symptoms were significantly and positively associated with impulsivity (β=.20, P=.01), temper (β=.25, P<.001), and search for meaning (β=.11, P=.048) and significantly and negatively associated with presence of meaning (β=-.21, P<.001). Presence of MIL and impulsivity showed a significant and negative interaction effect (β=-.11, SE .05; P=.03) on IGD symptoms. The positive effect of impulsivity on IGD symptoms was stronger among adolescents with low presence of MIL than those with high presence of MIL. Temper showed significant and positive interaction effects with presence of MIL (β=.08, SE .04; P=.03) and search for MIL (β=.08, SE .04; P=.04) on family functioning. The negative effects of temper on family functioning were stronger among adolescents with low levels of MIL than among those with high levels of MIL. This study provides the first findings on the interaction effects between low self-control and presence of MIL and search for MIL on IGD symptoms and functioning among a large sample of adolescents in rural China. The results have implications for targeted interventions to help male adolescents with lower self-control and presence of meaning.

Inhibitory Effect of Aqueous Extract of Sacoglottis gabonensis on Weight Gain in Swiss Mice Exposed to Aspartame

Aim: To evaluate the Inhibitory effect of aqueous extracts of Sacoglottis gabonensis on weight gain in Swiss mice exposed to aspartame. Study Design: The study was a completely randomized design employing relevant statistical tools for analysis and interpretation. Place and Duration of Study: The study was carried out in the Department of Animal and Environmental Biology, Rivers State University. The experiment lasted for 90 days between April and June 2022. Methodology: A total of 30 adult male Swiss mice (mean weight 23.07±0.12g) were divided into six groups of five animals each. Group A was the negative control which received neither Sacoglottis gabonensis nor Aspartame, group B was the positive control which received 50mg/kg/bw/day of Aspartame only, group C received 50mg/kg/bw/day of Aspartame with 250mg/kg/bw/day of aqueous bark extract of S. gabonensis, group D received 50mg/kg/bw/day of Aspartame with 250mg/kg/bw/day of aqueous leaf extract of S. gabonensis, while groups E and F received 50mg/kg/bw/day of Aspartame with a combination of 250mg/kg/bw/day and 500mg/kg/bw/day of extracts of S. gabonensis bark and leaf extracts respectively. The experimental animals were weighed twice weekly for 30, 60 and 90 days duration and recorded to the nearest 0.01g. Mean weight from each duration was taken and subjected to statistical analysis using Statistical Analyses System SAS 9.4 Results: There was significant increase (p&lt;0.05) in weight in the 30, 60 and 90-days exposure periods in group B. The groups that received the combination of aspartame and S. gabonensis particularly at higher doses showed a significant decrease in weight across the exposure periods when compared to the group that received aspartame only and the control group. Conclusion: This result suggests that S. gabonensis reduced aspartame-induced weight gain, indicating its potential benefits for weight management. Further research is needed to explore the underlying mechanisms and health implications.

A Ducted, Biomimetic Nipple Improves Aspects of Infant Feeding Physiology and Performance in an Animal Model.

Breastfeeding is widely regarded as the optimal form of feeding infants, as it provides both nutritional and physiological benefits. For example, breastfed infants generate greater intraoral suction and have higher amplitude muscle activities compared to bottle-fed infants, with downstream implications for motor function, development, and health. One mechanism that might explain these physiological differences is the structure of the nipple an infant is feeding on. Breasts in most mammals are ducted soft-tissue structures that require suction to be generated for milk to be released, whereas bottle nipples are hollow and allow milk to be acquired by compression of the nipple. We used a validated animal model (pigs) to test how being raised on a novel ducted nipple impacted feeding physiology and performance compared to infants raised on a standard (cisternic) nipple. At the end of infancy, we fed both groups with both nipple types and used high-speed videofluoroscopy synchronized with intraoral pressure measurements to evaluate feeding function. Nipple type did not have a profound impact on sucking or swallowing rates. However, when feeding on a ducted nipple, infant pigs raised on a ducted nipple generated more suction, consumed milk at a faster rate, swallowed larger boluses of milk, and had decreased likelihood of penetration and aspiration than those raised on a cisternic nipple. These data replicate those found when comparing breast- and bottle-fed infants, suggesting that a ducted, biomimetic nipple may provide bottle-fed infants with the physiologic benefits of breastfeeding.

Predicting removal of arsenic from groundwater by iron based filters using deep neural network models

Arsenic (As) contamination in drinking water has been highlighted for its environmental significance and potential health implications. Iron-based filters are cost-effective and sustainable solutions for As removal from contaminated water. Applying Machine Learning (ML) models to investigate and optimize As removal using iron-based filters is limited. The present study developed Deep Learning Neural Network (DLNN) models for predicting the removal of As and other contaminants by iron-based filters from groundwater. A small Original Dataset (ODS) consisting of 20 data points and 13 groundwater parameters was obtained from the field performances of 20 individual iron-amended ceramic filters. Cubic-spline interpolation (CSI) expanded the ODS, generating 1600 interpolated data points (IDPs) without duplication. The Bayesian optimization algorithm tuned the model hyper-parameters and IDPs in a Stratified fivefold Cross-Validation (CV) setup trained all the models. The models demonstrated reliable performances with the coefficient of determination (R2) 0.990–0.999 for As, 0.774–0.976 for Iron (Fe), 0.934–0.954 for Phosphorus (P), and 0.878–0.998 for predicting manganese (Mn) in the effluent. Sobol sensitivity analysis revealed that As (total order index (ST) = 0.563), P (ST = 0.441), Eh (ST = 0.712), and Temp (ST = 0.371) are the most sensitive parameters for the removal of As, Fe, P, and Mn. The comprehensive approach, from data expansion through DLNN model development, provides a valuable tool for estimating optimal As removal conditions from groundwater.

Latino adolescents' experiences of residential risks on social media and mental health implications.

Despite alarms raised that adolescents' social media use can aggravate the harmful impact of residential risks (e.g. local violence) to their mental health, the mechanisms are poorly understood. To better understand potential mechanisms, we interviewed Latino adolescents living in a hypersegregated U.S. city, for whom social media may aggravate existing inequalities in residential risks to their mental health. Through an abductive analysis, we identified two processes suggesting how social media can amplify the deleterious impact of residential risks to their mental health. We refer to the first as additive, whereby social media heightens awareness of residential risks. The second is extension, whereby social media lengthens one's risk awareness, speeds up potential for risk awareness and multiplies who may become aware. We found evidence suggestive of parallel processes yielding diminution, whereby social media can minimise the deleterious effects of residential risks via adding and extending exposure to mental health resources, like collective efficacy. Further, the potential for extension (to both risks and resources) appears limited because social media practices (e.g. reposting, seeking viral attention) can foster indifference. Findings suggest the need to consider how adolescents activate resources via social media to avoid overstating its negative impact on mental health.

Assessment of heavy metal contamination in groundwater and its implications for dental and public health

Groundwater contamination with heavy metals is a critical environmental issue, especially in regions heavily reliant on groundwater for drinking purpose. These metals can seep into groundwater from soil and rock weathering or through improper disposal of industrial waste and effluents. Access to safe drinking water is essential for maintaining public health. This study aimed to assess heavy metal contamination in groundwater and its implications for dental and public health. The objective of the study was to measure the concentration of the heavy metals in the dentine of extracted tooth of the study population. The study concurrently measured heavy metal concentrations in groundwater and tooth dentine samples, analyzing demographic profiles, heavy metal correlations, and underlying structures using Principal Component Analysis (PCA). The average level of heavy metals in the groundwater samples varied from 9.763 ± 3.362 μg/L for Cd to 3426.204 ± 875.264 μg/L for Fe. The mean concentrations (μg/g) in teeth dentine showed significant variations, with iron (Fe) ranging from 0.149 ± 0.03 μg/g in water purifiers to 4.62 ± 0.578 μg/g in local water sources. Similar variations were observed for other heavy metals across different water sources. Principal component analysis (PCA) revealed seven principal components, with the first two components explaining 96.1% of the total variance. The findings revealed varied concentrations of heavy metals across all water sources. Statistical analyses underscored the complex relationship between water sources and heavy metal contamination levels, highlighting the need for targeted interventions to improve water quality and mitigate health risks. The study highlights the urgent need for monitoring and mitigation efforts to ensure safe drinking water and mitigate health risks associated with heavy metal contamination.

Effects of Near Infrared Radiation in Ambient Lighting on Cognitive Performance, Emotion, and Heart Rate Variability

Although sunlight contains approximately equal amounts of near-infrared radiation (NIR) and visible light, NIR is absent from most present-day electric lighting systems and is filtered by energy-efficient windows. However, NIR is biologically active and is commonly applied in targeted photobiomodulation treatments for a range of cognitive, emotional, and physical conditions. Given the removal of NIR from indoor illumination, it is critical to understand how ambient NIR may influence psychological and physical health, and whether reduced exposure to NIR in indoor environments could be cause for concern. In a preregistered within-subjects double-blind experiment, acute effects of NIR and far-red wavelengths in ambient illumination on cognition, emotional state and cardiovascular health were examined in a sample of 151 university students (117 females, 34 males). During a 2-hour laboratory session, participants were monitored at rest and while engaged in cognitively demanding tasks across two counterbalanced lighting conditions. Both included 3500 K white light generated by a light-emitting diode (LED) system, while one additionally included LEDs with peak wavelengths in the NIR (875 nm, 960 nm) and far-red (735 nm) spectrum. The addition of NIR and far-red to the ambient lighting showed beneficial effects on resting high-frequency heart rate variability (HF-HRV), HF-HRV responses to cognitive demand, and feelings of pleasure, but reduced performance on a visual search task. These findings reveal that the absence of NIR from architectural lighting influences humans at a psychological and physiological level, with implications for health and well-being that need to be balanced with energy-saving considerations.

High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model

Ambient carbon monoxide (CO) is a primary air pollutant that poses significant health risks and contributes to the formation of secondary atmospheric pollutants, such as ozone (O3). This study aims to elucidate global CO pollution in relation to health risks and the influence of natural events like wildfires. Utilizing artificial intelligence (AI) big data techniques, we developed a high-performance Convolutional Neural Network (CNN)-based Residual Network (ResNet) model to estimate daily global CO concentrations at a high spatial resolution of 0.07° from June 2018 to May 2021. Our model integrated the global TROPOMI Total Column of atmospheric CO (TCCO) product and reanalysis datasets, achieving desirable estimation accuracies with R-values (correlation coefficients) of 0.90 and 0.96 for daily and monthly predictions, respectively. The analysis reveals that the CO concentrations were relatively high in northern and central China, as well as northern India, particularly during winter months. Given the significant role of wildfires in increasing surface CO levels, we examined their impact in the Indochina Peninsula, the Amazon Rain Forest, and Central Africa. Our results show increases of 60.0%, 28.7%, and 40.8% in CO concentrations for these regions during wildfire seasons, respectively. Additionally, we estimated short-term mortality cases related to CO exposure in 17 countries for 2019, with China having the highest mortality cases of 23,400 (95% confidence interval: 0–99,500). Our findings highlight the critical need for ongoing monitoring of CO levels and their health implications. The daily surface CO concentration dataset is publicly available and can support future relevant sustainable studies, which is accessible at https://doi.org/10.5281/zenodo.11806178.

Mitochondrial Dysfunction in Environmental Toxicology: Mechanisms, Impacts, and Health Implications.

Mitochondria, pivotal to cellular metabolism, serve as the primary sources of biological energy and are key regulators of intracellular calcium ion storage, crucial for maintaining cellular calcium homeostasis. Dysfunction in these organelles impairs ATP synthesis, diminishing cellular functionality. Emerging evidence implicates mitochondrial dysfunction in the etiology and progression of diverse diseases. Environmental factors that induce mitochondrial dysregulation raise significant public health concerns, necessitating a nuanced comprehension and classification of mitochondrial-related hazards. This review systematically adopts a toxicological perspective to illuminate the biological functions of mitochondria, offering a comprehensive exploration of how toxicants instigate mitochondrial dysfunction. It delves into the disruption of energy metabolism, the initiation of mitochondrial fragility and autophagy, and the induction of mutations in mitochondrial DNA by mutagens. The overarching objective is to enhance our understanding of the repercussions of mitochondrial damage on human health.

Making a Splash: A Closer Look at Early Specialization in Competitive Diving.

This review article explores the multifaceted aspects of early specialization in diving, focusing on its implications for injury prevalence, performance, and mental health. It highlights the increasing trend of early specialization driven by ambitions for collegiate and Olympic success, despite recommendations advocating for diversification. Divers are at risk for acute and overuse injuries, particularly during high-velocity water entries; however, data on injury patterns, especially among elite divers and early specializers, remains scarce. Recent data suggest a correlation between early specialization and reduced rates of certain injuries among youth divers, but distinguishing between acute and overuse injuries is crucial. Additionally, early specialization may pose mental health risks, with divers facing pressures related to performance, body image, and parental expectations. This article underscores the need for tailored guidelines to mitigate injury risks and promote holistic well-being among youth divers, recognizing the complex interplay between physical and psychological factors in sports specialization.

Micronutrient Deficiencies in the Elderly: Implications for Cognitive and Physical Health

Micronutrient Deficiencies in the Elderly: Implications for Cognitive and Physical Health