Diverse Profiles Research Articles

A Retrospective Study to Investigate the Relationship Between Body Mass Index and Hemodynamic Characteristics in Hypertensive Patients.

The relationship between hemodynamic parameters and body mass index (BMI) in the context of blood pressure regulation in hypertension is unclear. Here, we analyzed data from 1368 uncontrolled hypertensive patients, including key hemodynamic indicators such as heart rate (HR), cardiac index (CI), arterial stiffness (AS), systemic vascular resistance index (SVRI), and thoracic blood ratio (TBR). In this cohort, the average BMI across all hypertension patients was 26.859±3.897 (kg/m2), with obese patients (BMI≥28kg/m2) averaging 31.01±2.87kg/m2 and non-obese (BMI<28kg/m2) averaging 24.70±2.28kg/m2. Younger obese patients exhibited higher diastolic pressures than non-obese peers (p<0.01). Hemodynamic analysis showed obese patients had increased HR and SVRI but lower CI and AS (p<0.01). Hypertensive males aged under 60 with obesity displayed a more prominent peripheral vascular phenotype (p<0.05) and volemic phenotype (p<0.01) than non-obese males. Obese females aged under 60 showed a higher incidence of cardiac phenotype (p<0.01). Across genders, obese hypertensive patients aged over 60 had a greater prevalence of volemic phenotype than non-obese patients (p<0.05, p<0.01, respectively). BMI inversely correlated with CI and positively with SVRI across age and gender categories (p<0.01). Taken together, we find that patients with hypertension exhibit diverse hemodynamic profiles, and BMI significantly correlates with hemodynamic parameters such as SVRI and CI. Our research identifies BMI as a valuable target for personalized hypertension treatment.

Noninvasive Brain Stimulation for Improving Cognitive Deficits and Clinical Symptoms in Attention-Deficit/Hyperactivity Disorder: A Systematic Review and Meta-Analysis

Objective: Noninvasive brain stimulation (NIBS) is a promising complementary treatment for attention-deficit/hyperactivity disorder (ADHD). However, its efficacy varies due to diverse participant profiles and methodologies. This meta-analysis, registered with PROSPERO (CRD42023457269), seeks to assess NIBS efficacy in improving cognitive deficits and clinical symptoms in individuals with ADHD. Methods: We systematically searched five databases (October 2024) for randomized controlled trials focusing on cognitive functions and clinical symptoms in individuals meeting the DSM/ICD criteria for ADHD. A meta-analytical synthesis was conducted using RevMan 5.4.1. Results: Meta-analyses found significant improvement in inhibitory control, working memory, and inattention in active transcranial direct current stimulation (tDCS) groups compared with sham groups. Conversely, repetitive transcranial magnetic stimulation (rTMS) did not demonstrate significant therapeutic benefits for ADHD symptoms. Additionally, four transcranial random noise stimulation (tRNS) and three transcranial alternating current stimulation (tACS) studies demonstrated promising improvements in executive functions and the alleviation of ADHD symptoms. Conclusions: The findings from this meta-analysis highlight NIBS as a promising adjunctive therapy for managing ADHD, advancing both theoretical knowledge and practical treatment options in this field.

Diverse immune cell profiles in ASFV-associated lymphopenia

Pathogenic African swine fever virus (ASFV) remains a lethal causative agent in the domestic pig industry, which poses a burden on the swine market and causes substantial socioeconomic losses worldwide. Currently, there are no commercially efficacious vaccines or specific treatments available for ASF prevention and control. Unfortunately, little is known about the swine immune response upon ASFV infection. Here, we investigated the host immune response discrepancy induced by the field moderately virulent strain ASFV HB-2208 among healthy, diseased and asymptomatic pigs. In the peripheral blood of diseased swine, lymphopenia is caused by the massive loss of bystander lymphocytes, such as γδ T cells, B cells and CD4+ T cells. Conversely, ASFV has a strong tropism for the mononuclear phagocyte system (MPS) and partial dendritic cells (DCs), whose antigen-presenting ability is impeded by the downregulation of CD80 and MHC I. However, no significant difference in the number of CD8αhigh T cells was detected, whereas the frequencies of NK cells, NKT cells, and regulatory T cells (Tregs) were significantly increased. Additionally, an in vitro model was established with a coculture of primary pulmonary alveolar macrophages (PAMs) and peripheral blood mononuclear cells (PBMCs), which significantly reduced γδ T cells, B cells and CD4+ T cells and increased Tregs. The differentiated immune response might aid in enhancing the understanding of ASFV pathogenesis in suids and provide insights into the mechanism of ASFV-induced lymphopenia for further studies.

Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge

While state-of-the-art permissioned blockchains can achieve thousands of transactions per second on commodity hardware with x86/64 architecture, their performance when running on different architectures, such as ARM, is not clear. The goal of this work is to characterize the performance and cost of permissioned blockchains on different hardware systems, which is important as diverse application domains are adopting blockchains. To this end, we conduct extensive cost and performance evaluation of two permissioned blockchains, namely Hyperledger Fabric and ConsenSys Quorum, on five different types of hardware covering both x86/64 and ARM architecture, as well as both cloud and edge computing. The hardware nodes include servers with Intel Xeon CPU, servers with ARM-based Amazon Graviton CPU, and edge devices with ARM-based CPU such as Nvidia Jetson TX2 and Raspberry Pi 4. Our results reveal a diverse profile of the two blockchains across different settings, demonstrating the impact of hardware choices on the overall performance and cost. We find that Graviton servers outperform Xeon servers in many settings due to their powerful CPU and high memory bandwidth. Edge devices with ARM architecture, on the other hand, exhibit low performance. When comparing the cloud with the edge, we show that the cost of the latter is much smaller in the long run if manpower cost is not considered.

Microbiome dynamics and functional profiles in deep-sea wood-fall micro-ecosystem: insights into drive pattern of community assembly, biogeochemical processes, and lignocellulose degradation.

Wood-fall micro-ecosystems contribute to biogeochemical processes in the oligotrophic deep ocean. However, the community assembly processes and biogeochemical functions of microbiomes in wood fall remain unclear. This study investigated the diversity, community structure, assembly processes, and functional profiles of bacteria and fungi in a deep-sea wood fall from the South China Sea using physicochemical indices, amplicon sequencing, and metagenomics. The results showed that distinct wood-fall contact surfaces exhibit habitat heterogeneity. The bacterial community of all contact surfaces and the fungal community of seawater contact surface (SWCS) were affected by homogeneous selection. In SWCS and transition region (TR), bacterial communities were influenced by dispersal limitation, whereas fungal communities were affected by homogenizing dispersal. The Venn diagram visualization revealed that the shared fungal community between SWCS and TR was dominated by Aspergillaceae. Additionally, the bacterial community demonstrated a higher genetic potential for sulfur, nitrogen, and methane metabolism than fungi. The sediment contact surface enriched modules were associated with dissimilatory sulfate reduction and methanogenesis, whereas the modules related to nitrate reduction exhibited enrichment characteristics in TR. Moreover, fungi showed a stronger potential for lignocellulase production compared to bacteria, with Microascaceae and Nectriaceae identified as potential contributors to lignocellulose degradation. These results indicate that environmental filtering and organism exchange levels regulated the microbial community assembly of wood fall. The biogeochemical cycling of sulfur, nitrogen, and methane was mainly driven by the bacterial community. Nevertheless, the terrestrial fungi Microascaceae and Nectriaceae might degrade lignocellulose via the combined action of multiple lignocellulases.IMPORTANCEThe presence and activity of microbial communities may play a crucial role in the biogeochemical cycle of deep-sea wood-fall micro-ecosystems. Previous studies on wood falls have focused on the microbiome diversity, community composition, and environmental impact, while few have investigated wood-fall micro-ecosystems by distinguishing among distinct contact surfaces. Our study investigated the microbiome dynamics and functional profiles of bacteria and fungi among distinct wood-fall contact surfaces. We found that the microbiome community assembly was regulated by environmental filtering and organism exchange levels. Bacteria drive the biogeochemical cycling of sulfur, nitrogen, and methane in wood fall through diverse metabolic pathways, whereas fungi are crucial for lignocellulose degradation. Ultimately, this study provides new insights into the driving pattern of community assembly, biogeochemical processes, and lignocellulose degradation in the microbiomes of deep-sea wood-fall micro-ecosystems, enhancing our comprehension of the ecological impacts of organic falls on deep-sea oligotrophic environments.

Spatially resolved gene expression profiling of tumor microenvironment reveals key steps of lung adenocarcinoma development

The interaction of tumor cells and their microenvironment is thought to be a key factor in tumor development. We present spatial RNA profiles obtained from 30 lung adenocarcinoma patients at the non-invasive and later invasive stages. We use spatial transcriptome sequencing data in conjunction with in situ RNA profiling to conduct higher resolution analyses. The detailed examination of each case, as well as the subsequent computational analyses based on the observed diverse profiles, reveals that significant changes in the phenotypic appearances of tumor cells are frequently associated with changes in immune cell features. The phenomenon coincides with the induction of a series of cellular expression programs that enable tumor cells to transform and break through the immune cell barrier, allowing them to progress further. The study shows how lung tumors develop through interaction in their microenvironments.

Genetics of urinary bladder paragangliomas: a multi-center study of a Chinese cohort.

Pheochromocytomas and paragangliomas (PPGLs) exhibit the highest degree of heritability among all human tumors, yet the genetics of urinary bladder paragangliomas (UBPGLs) remains poorly understood. The present study aims to examine the characteristics of a cohort of Chinese patients with UBPGLs, focusing particularly on genetics. The study included 70 Chinese patients with UBPGLs from 15 centers in China, 240 patients with non-head and neck PGLs (non-HNPGLs) outside the urine bladder, and 16 Caucasian patients with UBPGLs. Tumor DNA samples were sequenced by next generation sequencing. All identified pathogenic variants (PVs) were confirmed by Sanger sequencing. Among the 70 Chinese patients, PVs were identified in 38 cases: 23 in cluster 1A (13 SDHB, 1 SDHD, 1 SDHA, 4 IDH1, 2 SLC25A11, and 2 FH), 4 in cluster 1B (3 EPAS1 and 1 EGLN1), and 11 in cluster 2 genes (7 HRAS, 1 FGFR1, 2 NF1, and 1 H3F3A). Compared with other non-HNPGLs, UBPGLs had more PVs in cluster 1A genes (32.9% vs. 14.2%, p < 0.001), but fewer in cluster 1B (5.7% vs. 19.2%, p = 0.002) and cluster 2 genes (15.7% vs. 42.5%, p < 0.001). PVs in SDHB (18.6%) was the most common in Chinese patients with UBPGLs, followed by HRAS (10.0%). No PVs was found in 45.7% of all UBPGLs. PVs in HRAS, SLC25A11, EPAS1, and FH were also identified in Caucasians with UBPGLs. Chinese patients with UBPGLs have a diverse genetic profile. PVs in cluster 1A genes underlie nearly 1/3 of patients, highlighting the importance of genetic testing. Diverse germline and somatic PVs are also present in Caucasian patients with UBPGLs.

Timing of standard chow exposure determines the variability of mouse phenotypic outcomes and gut microbiota profile.

Standard chow diets influence reproducibility in animal model experiments because chows have different nutrient compositions, which can independently influence phenotypes. However, there is little evidence of the role of timing in the extent of variability caused by chow exposure. Here we measured the impact of different diets (5V5M, 5V0G, 2920X and 5058) and timing of exposure (adult exposure (AE), lifetime exposure (LE) and developmental exposure (DE)) on growth and development, metabolic health indicators and gut bacterial microbiota profiles across genetically identical C57BL/6J mice. Diet drove differences in macro- and micronutrient intake for all exposure models. AE had no effect on phenotypic outcomes. However, LE mice exhibited significant sex-dependent diet effects on growth, body weight and body composition. LE effects were mostly absent in the DE model, where mice were exposed to chow differences only from conception to weaning. Both AE and LE models exhibited similar diet-driven beta diversity profiles for the gut bacterial microbiota, with 5058 diet driving the most distinct profile. However, compared with AE, LE effects on beta diversity were sex dependent, and LE mice exhibited nine times more differentially abundant bacterial genera, the majority of which were inversely affected by 2920X and 5058 diets. Our findings demonstrate that LE to different chow diets has the greatest impact on the reproducibility of several experimental measures commonly used in preclinical mouse model studies. Importantly, weaning mice from different diets onto the same diet for maturation may be an effective way to reduce unwanted phenotypic variability among experimental models.

Genomic Insights into Vibrio parahaemolyticus from Southern Korea: Pathogenicity, Antimicrobial Resistance, and Phylogenetic Distinctions

Vibrio parahaemolyticus, a significant cause of gastroenteritis and a growing public health concern, has become increasingly prevalent owing to the rise in ocean temperatures driven by climate change. This study aimed to characterize the genetic diversity, pathogenic potential, and antimicrobial resistance (AMR) profiles of V. parahaemolyticus strains isolated from the southern coastal region of Korea. Using whole genome sequencing (WGS) and advanced bioinformatics tools, we identified novel sequence types through multilocus sequence typing and serotyped isolates using the VPsero database. Pathogenic genes, such as tdh and trh, were detected in only a few isolates, suggesting the involvement of alternative virulence mechanisms in the pathogenicity of these strains. An in silico analysis revealed widespread AMR, particularly against beta-lactams, chloramphenicol, and tetracycline antibiotics, underscoring the public health threats posed by these strains. A phylogenetic analysis revealed no significant clustering by geographic origin, year, or strain source, although most clinical and environmental strains were not closely related at lower phylogenetic branches. These findings highlight the importance of continued genomic surveillance and strict regulations regarding antibiotic use in marine environments. Moreover, this study suggests that integrating WGS data with epidemiological models could enhance the prediction of the emerging virulent strains and support effective outbreak management strategies.

Prevalence and Characteristics of Developmental Disabilities Among Children Who Receive Hearing Health Care.

We aim to determine the prevalence and characteristics of developmental disabilities among the clinical population of children who receive hearing health care in the United States. Using electronic health records of 131,709 children (0-18 years), we identified those with a diagnosis of attention deficit/hyperactivity disorder, autism spectrum disorder, vision differences, cerebral palsy, chromosomal abnormalities, delayed milestones, Down syndrome, or intellectual disability. We determined prevalence, age of first audiology encounter, age of diagnosis for the developmental disability, and hearing status based on the specific disability and the number of diagnoses. Binomial and multinomial logistic regressions were performed. One in four children had a diagnosed developmental disability. The most common disabilities were delayed milestones (11.3%), vision differences (7.4%), attention-deficit/hyperactivity disorder (6.6%), and autism spectrum disorder (6.2%). Half of the children with developmental disabilities had at least one diagnosis before their first audiology encounter. Children with developmental disabilities were more likely to have a reduced hearing or an unknown hearing status than children without developmental diagnoses. For children with reduced hearing, those with developmental disabilities had higher rates of bilateral configurations and poorer hearing severity levels. Developmental disabilities are common among children who seek hearing health care. Moreover, developmental disabilities often co-occur with reduced hearing. Further research and advocacy efforts are critical for creating clinical practices that are inclusive of, and equitable for, children with complex and diverse developmental profiles. https://doi.org/10.23641/asha.27857847.

Aging in Place in a Depopulated, Mountainous Area: The Role of Hometown-Visiting Family Members in Shimogo, Japan

In this study, we examined the factors that contribute to successful aging in place in the town of Shimogo, a depopulated mountainous area in Japan, focusing on the interplay between household support types, the performance of daily activities, and the involvement of geographically dispersed family members. A mixed-methods approach was used, combining survey data with multiple correspondence analysis and cluster analysis. The resident household findings reveal significant differences in community engagement and reliance on community support across three household support types: self-help, mutual aid, and combined support. The self-help households demonstrated high self-sufficiency and community participation, while the mutual-aid and combined-support households exhibited greater reliance on family and community resources. An analysis of the activities of out-migrated relatives uncovered diverse engagement profiles, motivated by both providing practical support and strengthening family bonds. The visit frequencies and activity types of the relatives were significantly influenced by both their own characteristics and the levels of self-reliance and community support needs of the resident households. Four distinct relative engagement clusters emerged, reflecting varying levels of support, community involvement, and visit frequency. Our findings underscore the crucial role of both informal (family) and formal (community) support networks in facilitating successful aging in place in rural depopulated areas. Policy implications include strategies supporting both self-reliance and the diverse mechanisms of family- and community-based support to ensure the sustainability of life in these challenging environments.

Efficient Charging Prioritisation and Optimisation of Solar PV-Powered Portable Electronic Devices

Efficiently managing and prioritising the charging of portable electronic devices powered by solar photovoltaic sources in off-grid and resource-limited environments is a huge problem. Ensuring that critical devices maintain operational uptime, especially when energy resources are scarce and in instances where multiple devices compete for charging from the limited solar power available is crucial. This paper introduces an optimisation framework designed to prioritise the charging of portable electronic devices powered by solar photovoltaic sources. The approach aims to maximise operational uptime for critical loads before addressing less essential ones. By strategically allocating charging priorities based on comprehensive evaluations of battery capacities, usage patterns, and operational requirements, the optimisation process seeks to enhance overall efficiency and readiness of portable electronic devices in dynamic, austere and resource-constrained settings. The charging prioritisation problem was solved using MATLAB’s (version number 9.13.0.2193358 (R2022b)) OPTI toolbox in conjuction with the SCIP solver. A case study, involving three portable electronic devices—a cellphone, GPS and radio, demonstrated the model’s effectiveness in maximising satisfaction by aggregating device priorities over time. The model prioritised charging of the GPS due to its critical operational role, followed by the radio for its essential communication function, while the cellphone, with lower usage demands, was assigned the lowest priority. The model developed in this study is versatile and applicable to diverse demand profiles and any number of portable electronic devices. Furthermore, it can be customised to operate effectively in various geographic locations, irrespective of solar radiation levels.

Tp53 R217H and R242H mutant zebrafish exhibit dysfunctional p53 hallmarks and recapitulate Li-Fraumeni syndrome phenotypes

Li-Fraumeni syndrome (LFS) is a hereditary cancer predisposition syndrome associated with a highly penetrant cancer spectrum characterized by germline TP53 mutations. We characterized the first LFS zebrafish hotspot mutants, tp53 R217H and R242H (human R248H and R273H), and found these mutants exhibit partial-to-no activation of p53 target genes, have defective cell-cycle checkpoints, and display partial-to-full resistance to apoptosis, although the R217H mutation has hypomorphic characteristics. Spontaneous tumor development histologically resembling human sarcomas was observed as early as 6 months. tp53 R242H mutants had a higher lifetime tumor incidence compared to tp53 null and R217H mutants, suggesting it is a more aggressive mutation. We observed mutation-specific tumor phenotypes across tp53 mutants with associated diverse transcriptomic and DNA methylome profiles in tp53 mutant larvae, impacting metabolism, cell signalling, and biomacromolecule synthesis and degradation. These tp53 zebrafish mutants demonstrate fidelity to their human counterparts and provide new insights into underlying tumorigenesis mechanisms and kinetics that suggest metabolic rewiring and cellular signalling changes occur prior to tumor initiation, which will guide targeted therapeutics for LFS.

A Critical Review on the Experimental Setups Used to Assess the Efficiency of Respirators Against Ambient Particulate Matter

Abstract: Fine particulate matter (PM2.5) poses significant health risks, prompting public health organizations to recommend the use of respirators and facemasks (RFMs) to mitigate exposure. Consequently, interest in their usage has increased, leading to several studies assessing the efficiency of these personal-level interventions against various fractions of ambient particulate matter (PM). We conducted a comprehensive literature search across PubMed, Web of Science, and Scopus to identify relevant studies and address the following objectives: (1) explore the efficiency of RFMs in reducing ambient PM; (2) discuss discrepancies in efficiencies reported; (3) critique the experimental setups used to evaluate the efficiency of RFMs; and (4) propose recommendations for future research. Five relevant studies we reviewed reported significantly lower RFM effectiveness against ambient PM, with a size-dependent efficiency that decreases for smaller PM fractions. Variations in the reported efficiencies were primarily attributed to design-related factors, resulting in poor facial fit. Therefore, it is crucial to consider standardizing and properly designing these products. These studies overlooked essential factors, such as using dummy heads with flexible textures that mimic human skin. The use of rigid-textured dummy heads, as seen in previous studies, may fail to accurately represent real-world conditions. We recommend researchers take into account diverse facial profiles in their experiments. Moreover, it is essential to consider facial characteristics in the design of RFMs. We believe the evidence supports the increasing need for the adoption of appropriate guidelines and regulations to govern RFM suppliers at both national and international levels.

Framework for tailoring consumer-centric communication to boost solar energy adoption in U.S. households

This review outlines a framework for tailoring consumer-centric communication to boost solar energy adoption in U.S. households. In response to growing environmental concerns and the need for sustainable energy solutions, this framework is designed to enhance residential solar adoption rates by customizing communication strategies to diverse consumer profiles. By leveraging consumer behavior insights, the framework addresses critical factors such as individual perceptions, social influences, financial considerations, and technological barriers that affect consumers' solar adoption decisions. The proposed framework emphasizes understanding various consumer segments, including early adopters, environmentally conscious individuals, and budget-focused households, to design targeted communication strategies. It integrates key elements like demographic analysis, psychographic profiling, and attitudinal segmentation to build a comprehensive picture of potential solar consumers. Using these insights, the framework proposes tailored messaging that resonates with each segment’s unique motivations and concerns, such as energy cost savings, environmental impact, and long-term investment value. To maximize engagement, the framework recommends deploying these tailored messages across a mix of digital and traditional media channels, ensuring optimal reach and relevance. Social media, for instance, can be effectively used to reach environmentally conscious and tech-savvy segments, while community events and local partnerships may better engage older or budget-focused demographics. Moreover, the framework advocates for the use of testimonials, data visualization, and interactive content to enhance credibility and user experience, further breaking down perceived barriers such as installation costs, maintenance concerns, and technology reliability. By focusing on consumer-centric communication, this framework aims to increase awareness, interest, and trust in solar energy solutions, thereby fostering a supportive environment for adoption. It also highlights the importance of iterative feedback mechanisms to continuously refine strategies and address emerging consumer needs. Ultimately, this framework serves as a strategic guide for policymakers, marketers, and solar companies to drive meaningful consumer engagement, boost conversion rates, and contribute to the broader goal of achieving sustainable energy adoption across the U.S. residential sector.

Novel Pyrrolo-Pyrimidine Derivatives Bearing Amide Functionality as Potential Anticancer Agents: Synthesis and Molecular Docking Studies

Current investigation presents the synthesis, molecular docking and anticancer evaluation of novel pyrrolo-pyrimidine derivatives designed to target Janus kinase 1 (JAK1), Janus kinase 2 (JAK2) and cyclin-dependent kinase 4 (CDK4). The synthesis route commenced with 2-amino-4,6-dichloropyrimidine-5-carbaldehyde, proceeding through sequential steps involving intermediate formations and coupling reactions to yield a diverse array of pyrrolo-pyrimidine derivatives. Characterization using spectroscopic techniques (1H NMR, 13C NMR and HRMS) confirmed the chemical structures of the synthesized compounds. Molecular docking studies against JAK1, JAK2 and CDK4 demonstrated substantial binding affinities, remarkably compounds 7k, 7l and 7d, which displayed promising interactions within the active sites of the proteins. Anticancer evaluation against breast cancer (MCF-7), chronic myeloid leukemia (SET-2), colorectal carcinoma (HCT-116) and HEK-293 cell lines revealed diverse cytotoxic profiles. Specifically, compounds 7k and 7f exhibited potent activity against breast cancer (MCF-7), 7k and 7f showed efficacy against chronic myeloid leukemia (SET-2) and compounds 7k and 7l demonstrated effectiveness against colorectal carcinoma (HCT-116). These findings underscore the potential of these pyrrolo-pyrimidine derivatives as selective and effective anticancer agents, prompting further exploration for therapeutic development.

Clustering Analysis of Food Security, Waste and Loss: Malaysia Agricultural Insights

As the world population grows rapidly nowadays, the demand for food has come to rise. The escalating demand for food has caused substantial wastage and loss, which not only hampers food security efforts but also aggravates greenhouse gas (GHG) emissions, intensifying the environmental crisis. Among numerous countries, Malaysia, with its diverse agricultural profile, emerges as a good fit for our case study. This study chooses the clustering technique to examine food sector data in Malaysia and investigate the link between the clustering results on food data and the data on GHG emissions. This case study aims to find crops depending on their production efficiency, underline those that match major waste, and estimate their contribution to greenhouse gas emissions. Three clustering techniques, Gaussian Mixture Modelling (GMM), Birch, and Density Peak clustering, are applied in the Production and Supply Utilisation Accounts (SUA) datasets, help to identify and cluster crops based on their similar traits to acquire uncovered patterns between the food sector and environmental issues. Using cutting-edge clustering algorithms and visualization tools, this study investigated in-depth the complex interactions among food production, waste, and greenhouse gas emissions in Malaysia. By addressing food production efficiency and waste reduction, the outcome will be a cascade of benefits that not only improve food security but also help to lessen negative environmental effects. This study illuminates the multifaceted dynamics of food production, waste, and environmental impact, offering valuable insights and pathways toward a more sustainable future for Malaysia and potentially other nations.

Neurochemical characterization of 5-HT2AR partial agonists with simultaneous PET-MRI.

Understanding neuromodulatory effects of serotonin 2A receptor (5-HT2AR) agonists with diverse pharmacological profiles is relevant to advancing psychedelic-related drug applications. We performed simultaneous positron emission tomography (PET) and pharmacological magnetic resonance imaging (phMRI) in anesthetized nonhuman primates (NHP; N = 3) to examine partial agonists with varying 5-HT2AR affinities and selectivity profiles: psilocybin (30, 60, and 90 µg/kg), lisuride (5 µg/kg), and 25CN-NBOH (15 µg/kg). Receptor occupancy was assessed with [11C]MDL-100907 PET, and cerebral blood volume (CBV) changes were measured with phMRI. Mixed partial agonists psilocybin and lisuride evoked biphasic CBV responses, whereas the selective 25CN-NBOH produced monophasic CBV increases. Cortical occupancy for psilocybin plateaued at 60 µg/kg (32%), whereas a lower dose of lisuride (5 µg/kg) resulted in similar occupancy (31%). Administration of 25CN-NBOH resulted in lower occupancy (7%) but larger changes in CBV compared to psilocybin and lisuride. The associations between CBV and 5-HT2AR occupancy appear linear for lisuride and 25CN-NBOH, but not for psilocybin. We speculate that the temporal and spatial differences in hemodynamic responses of the three agonists could stem from mixed affinity profiles. This work provides an understanding of pharmacological impacts of mixed serotonergic agonists being pursued as therapeutics for psychiatric conditions, offering valuable insights for future drug applications and development strategies.

Griscelli Syndrome Type 2: Comprehensive Analysis of 149 New and Previously Described Patients with RAB27A Deficiency

Griscelli syndrome type 2 (GS2) is a rare, life-threatening immunodysregulatory disorder characterised by impaired cytotoxic activity leading to susceptibility to haemophagocytic lymphohistiocytosis (HLH) and hypopigmentation. We completed a literature review and analysis of clinical data of 149 patients with GS2 including 8 new patients.We identified three founder mutations which show diverse phenotypic profiles (RAB27A c.244 C > T, p.R82C, c.514_518delCAAGC, p.Q172NfsX2, c.550 C > T, p.R184X). The most common presentation was HLH (119/149, 80%), with high proportion of central nervous system involvement (68/149, 46%). Features of partial albinism were present in 105 of 149 cases (70%). Hypopigmentation can be absent in GS2 and should not exclude the diagnosis. Patients with biallelic protein truncating variants (PTV) were more likely to have systemic HLH (44/56, 79%) and partial albinism (45/56, 80%), in comparison to hypomorphic variants (9/41, 22%; 20/41, 49%). Patients with hypomorphic variants presented later (5.4 years cf. 0.4 years, p = < 0.0001) and were more likely to have isolated CNS HLH (2% cf. 42%, p = 0.001).Mortality was high in the cohort (50/149, 34%). Survival of cases post-HLH who underwent transplantation is superior to un-transplanted patients, suggesting adequate HLH control followed by early HSCT is highly beneficial. Mortality was reduced in HSCT recipients versus the un-transplanted group where follow-up data was available (14% compared to 58%).Asymptomatic cases identified through family history/genetic screening may benefit from pre-emptive HSCT, but access and development of robust functional testing are required. High mortality related to HLH remains concerning and emphasises the need for improved molecular characterisation and clinical prognostic factors to guide management decisions.

Oil spill pollution and diversity analyses of resistant bacteria isolated from soil across the Arabian Sea and Bay of Bengal coastlines.

Pelagic transport causes oil pollution via international tanker routes in the open ocean across southern Asia and the Indian Territory. Nutrient-rich runoff from residential, commercial, and industrial wastes, oil tanker mishaps, and sailing flags have all resulted in pollution. The natural flow of ocean water from east to west dragged pollutants into Indian Territory. We have investigated that the severe deposition of oil spills and biohazardous wastes is causing faunal mortality. Microbiome analyses helped us understand the sample's microbial load. 16S amplicon metagenome analysis, followed by enumeration and confirmation using molecular methods, indicates the presence of diverse microbial profiles. The presence of non-native hydrocarbon- and AMR-resistant bacterial taxa, such as Brevundimonas, Staphylococcus spp., Mycolicibacterium, Spingomonas spp., Bacillus spp., Chitinophaga spp., Priestia spp., Domibacillus spp., Rossellomorea spp., and Acinetobacter spp., confirms the impacts of oil and urban pollution. This indicates that the coastal soil of Goa and Andhra Pradesh has hydrocarbon- and antibiotic-resistant bacteria, which confirms that the present pollution status and that high-traffic recreational activities put biodiversity and humans at risk of getting illnesses linked to antibiotic resistance.