Diverse Group Research Articles

Longitudinal effectiveness of a woman-led, nurse delivered health promotion intervention for women who have experienced intimate partner violence: iHEAL randomized controlled trial

BackgroundIntimate partner violence (IPV) threatens the safety, health and quality of life of women worldwide. Comprehensive IPV interventions that are tailored, take a long-term view of women’s needs, including health concerns, and maximize choice and control, have the potential to effectively address heath and safety concerns. Few such interventions have been tested, including in the Canadian context.MethodsA parallel randomized controlled trial of adult (age 19 + years), English-speaking, Canadian women with histories of IPV randomized either to iHEAL, a tailored health promotion intervention delivered by Registered Nurses over 6–7 months, or to community service information (usual care control). Primary (Quality of Life, PTSD symptoms) and secondary outcomes (Depression, Confidence in Managing Daily Life, Chronic Pain, IPV Severity) were measured at baseline and 6, 12 and 18 months post-intervention via an online survey. Generalized estimating equations were used to test for differences by study arm in intention-to-treat (full sample) and per protocol (1 + iHEAL visit) analyses focussing on short-term (immediately post-intervention) and longer-term (1 year post-intervention) effects. Selected process evaluation data were summarized using descriptive statistics.ResultsOf 331 women enrolled, 175 were randomized to iHEAL (135 who engaged in 1 + visits) and 156 to control. Women who received iHEAL showed significantly greater short-term improvement in Quality of Life compared to the control group, with these effects maintained 1 year later. Changes in PTSD Symptoms also differed significantly by group, with weaker initial effects that were stronger 1 year post-intervention. Significant moderate, short- and longer-term group effects were also observed for Depression and Confidence in Managing Daily Life. IPV Severity decreased for both groups, with significant immediate effects in favour of the intervention group that grew stronger 1 year post-intervention. There were no changes in Chronic Pain.ConclusioniHEAL is an effective, acceptable and safe intervention for diverse groups of women with histories of IPV. Trial results provide a foundation for implementation and ongoing evaluation in health care settings and systems. Delayed effects noted for PTSD Symptoms and IPV Severity suggest that longer-term assessment of these outcomes may be needed in trials of IPV interventions.Trial registrationClinicaltrials.gov ID NCT03573778 (Registered on June 29, 2018).

How does cold water impact on human physiology? Recent research discoveries

We analysed the newest research conducted from 2019 to 2023. The study was searched in the online databases, especially in PubMed.
 Results: The newest studies are not consistent with the impact of cold water after training sessions on muscle performance and regeneration. There are no coherent results of the impact on biochemical immunological and hormonal parameters. Research showed that cold water has a good impact on heart recovery after strain. CWI can remove the positive effect of hypotension after exercise. Studies show no impact of CWI on PCG1-α in muscles with a depletion level of glycogen but there is a need for consideration that CWI can benefit when muscle glycogen is at a higher level. It seems that CWI has a more efficient effect of vasoconstriction than PBC. There are suggestions that CWI can increase insulin sensitivity and better glucose tolerance after fasting sessions. There are suggestions that 18-degree water can cause an acute decrease in cognitive function. Immersion in cold water which is defined in that study as 20-25℃ can benefit RLS among pregnant women. 
 Conclusions: On the grounds of the newest studies, it is hard to come to a clear conclusion about the impact of cold water on the human body. There is a need for further studies with large and diverse groups of contestants. Results from studies analysed in that article can help design the next studies. At that moment there was no undisputed evidence of the beneficial impact of cold water on human physiology.

Reflections on co-production: Developing a dementia research funding application with a diverse lived experience group.

Introduction and Background to Study: Published work on dementia research co-production focuses on developing health and social care interventions. Less is written about practicalities and experiences of co-producing dementia research funding applications. UK public contributors are typically from white middle class populations. Widening involvement is essential for co-produced research that meaningfully addresses health inequalities. We provide an example of a diverse lived experience group co-producing a dementia research funding application. An NIHR Dementia Career Development award funded PPIE work to develop a broad research idea. A culturally diverse lived experience group consisted of one person living with dementia, four carers and one former carer. Virtual group sessions drew on each person's unique experiences and expertise. Two co-leads collaborated closely with the researcher. Methods: We reflected on our experiences of diversity and inclusion within the group, based on a coproduced set of questions to guide reflection. Written records of reflections were captured and refined by the group. Results: We structured reflections into three overarching categories: Diversity and inclusion, Benefits to group members and Challenges. The group felt empowered, heard, and like equals in the process. Members valued diversity and mutual learning within the group. Involvement of co-leads was seen as democratic and inclusive. Some members felt Equality, Diversity and Inclusion (EDI) discussions were challenging. Discussion and Conclusions: We share valuable lessons learned in the process, including suggestions for facilitating EDI discussions, building in funding for time and travel to support relationship building, and ensuring PPIE remuneration processes are accessible and streamlined.

Mapping the Dynamic Complexity of Sexual and Gender Minority Healthcare Disparities: A Systems Thinking Approach.

Sexual and gender minority (SGM) populations experience extensive health disparities compared to their straight and cisgender counterparts. The importance of addressing these disparities is paramount, as SGM groups often encounter significant barriers to accessing comprehensive healthcare, including societal stigma, provider bias, and financial constraints. This study utilizes a community-based system dynamics approach to understand and visualize the barriers to and facilitators of healthcare engagement for SGM groups across their life course. It aims to identify core constructs, relationships, and dynamic feedback mechanisms related to the experiences of connection/disconnection with physical, mental, and dental healthcare of SGM individuals. Barriers to access, such as discriminatory practices and the limited availability of SGM-informed healthcare professionals, exacerbate these disparities, underscoring the urgency of developing targeted interventions. System dynamics, a complex systems science (CSS) methodology, was used for this research. Group model building sessions were conducted with diverse SGM groups, including youth, older adults, and trans and gender-expansive community members. Causal loop diagrams were developed according to an iterative process, and a meta-model of their collective experiences was created. The study revealed extensive, dynamic, and shifting structural barriers for SGM community members accessing healthcare. Societal and structural stigma, provider bias, and pathologization were identified as significant barriers throughout their life course. Community-led interventions and SGM-focused holistic healthcare were identified as critical facilitators of SGM healthcare connection. The findings highlight the need for SGM-affirming and culturally responsive healthcare settings. This paper calls for a concerted effort from SGM health researchers to use CSS in developing interventions to reduce SGM health disparities.

Common mutation analysis of beta-thalassemia carriers by amplification refractory mutation system-polymerase chain reaction in cases diagnosed by capillary zone electrophoresis at National Public Health Laboratory, Nepal

Abstract BACKGROUND: Beta (β)-thalassemia is a globally prevalent genetic disorder with over 350 known mutations in the β-globin gene. Intervening-sequence (IVS) 1–5 (G→C), 619 bp deletion, IVS 1–1 (G →T), C-15 (G→A), frameshift (FS) 41/42 (−CTTT), FS 8/9 (+G), codon 19, A-G, and codon 17 (A→T) are some common mutations in β-thalassemia. This study aimed to identify and analyze the common mutation by amplification refractory mutation system polymerase chain reaction in β-thalassemia carriers diagnosed by capillary zone electrophoresis (CZE) at National Public Health Laboratory. MATERIALS AND METHODS: On the basis of archived data, the CZE performed on 781 samples between June 2019 and July 2022 was analyzed. Without regard to age, gender, race, or address, 121 samples were ultimately selected for mutation analysis during this time because they were identified as positive for the β-thalassemia traits based on high HbA2 levels of more than 3.5%. RESULTS: IVS 1–5 (G→C) was the most common mutation followed by 619 bp deletion. Five mutations namely IVS 1–5 (G→C), 619 bp deletion, FS 41/42 (−TTCT), FS 8/9 (+G), and codon 15 (G→A) accounted for 84.3% of cases. A single mutation was seen in 87 cases (71.9%), more than one mutation in 15 cases (12.4%) whereas 19 cases (15.7%) did not show any of the mutations tested. CONCLUSION: IVS 1–5 (G-C) is the most prevalent mutation in Southeast Asian nations, with the 619 bp deletion predominant in the Tharu community. Further research is needed to understand diverse ethnic groups and regions, enabling prenatal diagnostics and genetic counseling for β-thalassemia prevention.

Genome analysis and hyphal movement characterization of the hitchhiker endohyphal Enterobacter sp. from Rhizoctonia solani.

Bacterial-fungal interactions are pervasive in the rhizosphere. While an increasing number of endohyphal bacteria have been identified, little is known about their ecology and impact on the associated fungal hosts and the surrounding environment. In this study, we characterized the genome of an Enterobacter sp. Crenshaw (En-Cren), which was isolated from the generalist fungal pathogen Rhizoctonia solani, and examined the genetic potential of the bacterium with regard to the phenotypic traits associated with the fungus. Overall, the En-Cren genome size was typical for members of the genus and was capable of free-living growth. The genome was 4.6 MB in size, and no plasmids were detected. Several prophage regions and genomic islands were identified that harbor unique genes in comparison with phylogenetically closely related Enterobacter spp. Type VI secretion system and cyanate assimilation genes were identified from the bacterium, while some common heavy metal resistance genes were absent. En-Cren contains the key genes for indole-3-acetic acid (IAA) and phenylacetic acid (PAA) biosynthesis, and produces IAA and PAA in vitro, which may impact the ecology or pathogenicity of the fungal pathogen in vivo. En-Cren was observed to move along hyphae of R. solani and on other basidiomycetes and ascomycetes in culture. The bacterial flagellum is essential for hyphal movement, while other pathways and genes may also be involved.IMPORTANCEThe genome characterization and comparative genomics analysis of Enterobacter sp. Crenshaw provided the foundation and resources for a better understanding of the ecology and evolution of this endohyphal bacteria in the rhizosphere. The ability to produce indole-3-acetic acid and phenylacetic acid may provide new angles to study the impact of phytohormones during the plant-pathogen interactions. The hitchhiking behavior of the bacterium on a diverse group of fungi, while inhibiting the growth of some others, revealed new areas of bacterial-fungal signaling and interaction, which have yet to be explored.

Species delimitation and phylogenetic relationships of the Prionospio complex (Annelida, Spionidae) in the Northeast Atlantic

AbstractThe Prionospio complex comprises the most diverse and complex group within the polychaete family Spionidae. The phylogenetic relationships within the group are still poorly understood, and the generic breakdown is unstable. In this study, we assessed the diversity, relationships, and distribution of species of the Prionospio complex occurring in Norwegian waters. We analysed mitochondrial genomes and nuclear ribosomal DNA assembled via whole‐genome shotgun sequencing, and Sanger sequenced fragments of COI and 16S rDNA. Sanger sequencing proved challenging in the group, where COI was only amplified successfully in 14% of specimens. By molecular species delimitation algorithms, our study revealed the presence of four well‐supported but currently undescribed species of Prionospio in Norwegian waters. We observed a novel distribution pattern of polychaetes in coastal waters, where certain species demonstrated distribution ranges spanning over 7000 km. Such wide distribution parallels patterns of deep‐sea Prionospio species, suggesting that factors beyond recent anthropogenic translocations are involved. Our analysis of 38 mitochondrial genomes and ribosomal nuclear DNA enabled us to hypothesise on the phylogenetic relationships of 14 species of the Prionospio complex. The analysis suggested that two characters previously used to designate genera: the beginning of the branchiae from chaetiger 3 and the presence of pinnules on the branchiae, might have evolved more than one time within the complex. We return Aurospio banyulensis to the genus Prionospio according to the diagnosis of Aurospio resulting tree where this species was nested among Prionospio species. Our findings provide new insights into the diversity and distribution patterns of Prionospio species and contribute to a better understanding of marine benthic biodiversity and the importance of taxonomic accuracy in conservation and management practices.

Revealing genomic heterogeneity and commonality: A penalized integrative analysis approach accounting for the adjacency structure of measurements.

Advancements in high-throughput genomic technologies have revolutionized the field of disease biomarker identification by providing large-scale genomic data. There is an increasing focus on understanding the relationships among diverse patient groups with distinct disease subtypes and characteristics. Complex diseases exhibit both heterogeneity and shared genomic factors, making it essential to investigate these patterns to accurately detect markers and comprehensively understand the diseases. Integrative analysis has emerged as a promising approach to address this challenge. However, existing studies have been limited by ignoring the adjacency structure of genomic measurements, such as single nucleotide polymorphisms (SNPs) and DNA methylations. In this study, we propose a structured integrative analysis method that incorporates a spline type penalty to accommodate this adjacency structure. We utilize a fused lasso type penalty to identify both heterogeneity and commonality across the groups. Extensive simulations demonstrate its superiority compared to several direct competing methods. The analysis of The Cancer Genome Atlas melanoma data with DNA methylation measurements and GENEVA diabetes data with SNP measurements exhibit that the proposed analysis lead to meaningful findings with better prediction performance and higher selection stability.

Efficiency of engineered/modified biochars-based adsorbents for removal of pollutants from aquatic environment: A critical review

<p>Biochar shows substantial potential to contribute as a globally applicable adsorbent to decontaminate the water system due to the ample availability of feedstocks and valuable physio-chemical surface properties. This review aims to highlight the modification technologies of biochar, the alteration of characteristics after modification, and the eliminating of organic, inorganic, antibiotics and other pollutants from water systems by modified biochar. Alkali-acid modified and metal-loaded biochar possesses the superior surface functionality; these modifications are greatly favorable for improving the removal of different pollutants from water systems. Acidic- alkaline and metal treatment provides more diverse functional groups on biochar surfaces e.g. produces ample oxygenated functional groups, improve the surface attributes, generates high ratios of surface aromaticity and N/C, these changes provide the more adsorption sites and increase the removal of pollutants. This review also demonstrates the existing problems and future research direction related to modified biochars by acidic and alkaline agents as well as metal loaded composite in the remediation of the pollutants.</p>

Patient-centered research in pediatric transplant: Engaging families and recipients

Pediatric liver transplant (LT) recipients navigate a lifelong journey that includes constant monitoring and challenges. Research priorities and questions in LT have traditionally been provider-driven. This project was a novel partnership between a learning health system dedicated to pediatric LT (Starzl Network for Excellence in Pediatric Transplantation) and a parent-led advocacy group (Transplant Families) that aimed to prepare families and providers for collaborative patient-centered outcomes research (PCOR). We developed 5 virtual modules to (1) teach participants about PCOR, and (2) elicit ideas for PCOR priorities and processes in pediatric LT. Parents and providers participated via self-guided online modules or focus groups. Participants included 240 patient partners and 133 pediatric LT providers from 16 centers over 2 years. We held 20 focus groups, including 5 to amplify underrepresented voices: young adults, Spanish speakers, and African Americans. Feedback was summarized to create a PCOR Roadmap, a guide for future PCOR in the Starzl Network, which was disseminated back to participants online and via webinars. Feedback from a diverse group of stakeholders allowed us to develop PCOR priorities and processes for the pediatric LT community. Our engagement strategies could be adapted by other transplant communities to facilitate patient and provider research partnerships.

Chronic aquatic toxicity assessment of diverse chemicals on Daphnia magna using QSAR and chemical read-across

We have modeled here chronic Daphnia toxicity taking pNOEC (negative logarithm of no observed effect concentration in mM) and pEC50 (negative logarithm of half-maximal effective concentration in mM) as endpoints using QSAR and chemical read-across approaches. The QSAR models were developed by strictly obeying the OECD guidelines and were found to be reliable, predictive, accurate, and robust. From the selected features in the developed models, we have found that an increase in lipophilicity and saturation, the presence of electrophilic or electronegative or heavy atoms, the presence of sulphur, amine, and their related functionality, an increase in mean atomic polarizability, and higher number of (thio-) carbamates (aromatic) groups are responsible for chronic toxicity. Therefore, this information might be useful for the development of environmentally friendly and safer chemicals and data-gap filling as well as reducing the use of identified toxic chemicals which have chronic toxic effects on aquatic ecosystems. Approved classes of drugs from DrugBank databases and diverse groups of chemicals from the Chemical and Product Categories (CPDat) database were also assessed through the developed models.

Safeguarding Our Heritage—The TRIQUETRA Project Approach

Cultural heritage (CH) sites are frequently exposed to natural elements, and their exposure becomes particularly precarious with the onset of climate change. This increased vulnerability places these sites at risk of deterioration or complete destruction. Risks such as land deformation, floods, acid rain, and erosion significantly threaten historic monuments, while water-related hazards, significantly influenced by both climate change and human activities, present a particularly grave risk to these invaluable sites. Considerable research efforts have focused on safeguarding CH sites. However, there remains a deficiency in systemic approaches towards identifying and mitigating risks for CH sites. The TRIQUETRA project proposes a technological toolbox and a methodological framework for tackling climate change risks and natural hazards threatening CH in the most efficient way possible. It aims at creating an evidence-based assessment platform allowing precise risk stratification as well as a database of available mitigation measures and strategies, acting as a Decision Support System (DSS) towards efficient risk mitigation and site remediation. TRIQUETRA is a European project that brings together a diverse group of researchers with varied expertise, encompassing university research groups, research institutes, public entities, as well as small and medium-sized enterprises. In this article, TRIQUETRAs overall methodology is presented, and preliminary results concerning risk identification, TRIQUETRAs knowledge base, as well as novel sensors and coatings, are discussed.

Enhanced osteoporotic fracture prediction in postmenopausal women using Bayesian optimization of machine learning models with genetic risk score.

This study aimed to enhance the fracture risk prediction accuracy in major osteoporotic fractures (MOFs) and hip fractures (HFs) by integrating genetic profiles, machine learning (ML) techniques, and Bayesian optimization. The genetic risk score (GRS), derived from 1,103 risk single nucleotide polymorphisms (SNPs) from genome-wide association studies (GWAS), was formulated for 25,772 postmenopausal women from the Women's Health Initiative dataset. We developed four ML models: Support Vector Machine (SVM), Random Forest, XGBoost, and Artificial Neural Network (ANN) for binary fracture outcome and 10-year fracture risk prediction. GRS and FRAX clinical risk factors (CRFs) were used as predictors. Death as a competing risk was accounted for in ML models for time-to-fracture data. ML models were subsequently fine-tuned through Bayesian optimization, which displayed marked superiority over traditional grid search. Evaluation of the models' performance considered an array of metrics such as accuracy, weighted F1 Score, the area under the precision-recall curve (PRAUC), and the area under the receiver operating characteristic curve (AUC) for binary fracture predictions, and the C-index, Brier score, and dynamic mean AUC over a 10-year follow-up period for fracture risk predictions. We found that GRS-integrated XGBoost with Bayesian optimization is the most effective model, with an accuracy of 91.2% (95% CI: 90.4-92.0%) and an AUC of 0.739 (95% CI: 0.731-0.746) in MOF binary predictions. For 10-year fracture risk modeling, the XGBoost model attained a C-index of 0.795 (95% CI: 0.783-0.806) and a mean dynamic AUC of 0.799 (95% CI: 0.788-0.809). Compared to FRAX, the XGBoost model exhibited a categorical net reclassification improvement (NRI) of 22.6% (P= .004). A sensitivity analysis, which included BMD but lacked GRS, reaffirmed these findings. Furthermore, portability tests in diverse non-European groups, including Asians and African Americans, underscored the model's robustness and adaptability. This study accentuates the potential of combining genetic insights and optimized ML in strengthening fracture predictions, heralding new preventive strategies for postmenopausal women.

Determination of Polyphenolic Compounds Present in Guduchyadi Kashaya Using Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS)

The utilization of various contemporary analytical methods has become indispensable when it comes to assessing polyherbal Ayurvedic formulations, aiming to ensure their quality, safety, and effectiveness. Quality control of herbal medicines involve analytical evaluation using instrumental techniques such as TLC, HPTLC, HPLC, GC-MS, LC-MS and spectrophotometer etc. Among them Liquid Chromatography with tandem Mass Spectrometry (LC-MS/MS) is a powerful hyphenated analytical technique that combines the separating power of liquid chromatography with the mass analysis capabilities of mass spectrometry. Generally, its application is oriented towards the specific detection and potential identification of chemicals in a complex mixture. Polyphenolic compounds are usually referred to as a diverse group of naturally occurring compounds containing multiple phenolic functionalities. The anti-inflammatory, anti-aging, antiproliferative, and antioxidant like biological properties of phenolic compounds have been described in several studies. This research study was taken to analyse polyphenolic compounds in Guduchyadi kashaya by LC-MS/MS. Phenolic compounds are abundant in the ingredients of Guduchyadi kashaya, as evidenced by previous studies. So, to determine the polyphenolic contents of Guduchyadi kashaya, this study was conducted. The quantification of the polyphenols was carried out on Shimadzu Shim Pack GISS C18 column with .1%formic acid as mobile phase. A total of 28 polyphenolic compounds were analysed, and 24 of these compounds were found to be present in Guduchyadi kashaya. The results showed that the phenolic compounds present in the ingredients were also present in the formulation in high abundance.

Sexual and Reproductive Health Service Seeking Scale (SRHSSS): development, validity, and reliability

BackgroundYoung adults are a diverse group with diverse cares, choices and preferences in accessing and using Sexual and Reproductive Health (SRH) services, they should be at the center of the development of new managed models and solutions for the delivery of SRH services. The purpose of the study is to develop a valid and reliable measurement tool that can be used to determine the knowledge and attitudes of young adults about SRH and the barriers for accessing services, and to evaluate the attitudes and needs of young adults to receive SRH services.MethodsIn this study, the questions of the scale were developed through literature review, focus group interview with 8 people and expert evaluation were made, and a pre-test application was also carried out. Exploratory factor analysis and reliability testing were performed with a sample of 458 young adults. The re-test reliability was performed with 220 participants who were reached one month after the first measurement. Principal component analysis was used to establish the construct validity. The reliability of the scale was assessed using the Cronbach's alpha value.ResultsA 23-item scale has been developed to identify and evaluate young adults' thoughts, attitudes, and perceived barriers for accessing services regarding SRH. In the exploratory factor analysis conducted to examine the construct validity of SRHSSS, a four-factor structure was obtained that explained 89.45% of the total variance. The factor loadings of the scale items were found to vary between 0.78–0.97. At the same time, the Cronbach's alpha value of the scale is 0.90, indicates a good internal consistency.ConclusionsSRHSSS is a scale with sufficient validity and reliability to determine young adults' SRH Service Seeking.

Circular Economy in the Building Sector: Investigating Awareness, Attitudes, Barriers, and Enablers through a Case Study in Saudi Arabia

The adoption of circular economy (CE) holds significant potential to mitigate the challenges posed by the conventional linear economic model. The building sector in Saudi Arabia continues experiencing rapid growth, often marked by a consistent annual rise in the number of projects. The incorporation of CE principles into this expansion presents opportunities to optimize resource utilization, minimize waste generation, and enhance overall environmental sustainability. This study explores the current levels of awareness, perception, and implementation of CE principles among local building sector stakeholders and assesses the potential for CE expansion in the region. Additionally, it seeks to rank the identified barriers and enablers while exploring the interconnected relationships between such barriers. A literature review was conducted to explore the CE barriers and enablers. This was followed by an online survey which was conducted amongst 139 respondents from diverse stakeholder groups. A relative importance index (RII) was employed to rank the barriers and enablers, and the findings were subjected to statistical analysis using the Statistical Package for Social Sciences (SPSS). The outcomes of this study highlight a significant lack of awareness regarding CE principles among stakeholders, with a very low implementation rate. To break this inertia and encourage the adoption of CE practices, this study suggests the need for CE- supportive policy and legislation, and the provision of financial incentives.

Human factor engineering of point-of-care near infrared spectroscopy device for intracranial hemorrhage detection in Traumatic Brain Injury: A multi-center comparative study using a hybrid methodology

ObjectiveThis study assessed machine learning powered Near-infrared spectroscopy based (mNIRS) device’s usability and human factor ergonomics in four distinct healthcare provider groups. BackgroundTraumatic Brain Injury (TBI) is a global concern with significant well-being implications. Timely intracranial hemorrhage (ICH) detection is crucial. mNIRS offers efficient non-invasive TBI screening. MethodsTwo device utilization stages involved operators (N = 21) and TBI-suspected subjects (n = 120). A hybrid approach used qualitative and quantitative methods, utilizing a 57-item survey and task completion time. ResultsAll groups positively perceived user-interface, physical, cognitive, and organizational ergonomics. The device's ease of use, calibration, size, cognitive support, and integration gained appreciation. Training reduced task completion time from 16.5 to 13.2 s. ConclusionmNIRS-based CEREBO® proves usable for TBI point-of-care assessment. Positive feedback from diverse healthcare groups validates design and cost-effectiveness alignment. A hybrid approach, training, and practice scans enhance usage and experience.

Cytotoxicity and Characterization of Zinc Oxide and Silver Nanoparticles Synthesized Using Ocimum tenuiflorum and Ocimum gratissimum Herbal Formulation.

Background Toxicological assessments of nanoparticles are becoming more and more necessary due to the current rapid increase in interest in them for biomedical applications. This study aimed to synthesize and characterize zinc oxide nanoparticles (ZnONPs) andsilver nanoparticles (AgNPs)using Ocimum tenuiflorum(black tulsi) and Ocimum gratissimum(African basil) herbal formulation extracts and to evaluate their cytotoxic effects. Methods The synthesis of AgNPs and ZnONPs was monitored using UV-visible spectra analysis at different time intervals. The nanoparticles' morphology and elemental composition were examined via scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX). Furthermore, Fourier-transform infrared spectroscopy (FT-IR) spectra analysis was employed to identify the functional groups within the nanoparticles. The cytotoxic effects of the nanoparticles were evaluated using the brine shrimp lethality assay. Results The UV-visible spectra analysis revealed the successful synthesis of AgNPs and ZnONPs, with maximum absorption peaks observed at 430 nm and 380 nm, respectively. SEM images showed that AgNPs were spherical in shape and tended to agglomerate, while ZnONPs displayed a unique rod-like to short prism shape, and EDX analysis confirmed the presence of both silver and zinc in these nanoparticles, alongside other elements from the herbal extracts. FT-IR analysis indicated the existence of diverse functional groups on the nanoparticles' surfaces. The brine shrimp lethality assay results demonstrated a concentration-dependent cytotoxic effect of the nanoparticles. Conclusion The study successfully synthesized and characterized AgNPsand ZnONPsusing Ocimum tenuiflorumand Ocimum gratissimum herbal formulation extracts. The nanoparticles exhibited significant cytotoxic effects, suggesting their potential applications in various fields. Our results highlight the need for a more discrete use of nanoparticles for biomedical applications. Further studies are needed to explore their potential uses and ensure their safe and effective application.

System Thinking for Sustainable Water Management: The Use of System Tools in Sustainability Transitions

AbstractManaging water resources to meet current social, economic, and environmental needs without compromising the ability to meet those needs in the future, requires water managers to look beyond jurisdictional boundaries and their immediate supply operations, protect shared water and marine environments, resources and ecosystems from pollution and over-abstraction and deliver structural changes and resilient solutions to make the provision of water services sustainable. With a plethora of system tools increasingly available to support the sustainability transformation of water systems, sorting through their breadth and diversity to determine what is useful and what is not can be challenging. From a selection of 40 popular system tools grouped in terms of how they function, we review those most commonly used in water management through 35 water-related studies from the literature. Findings demonstrate that system tools are not a substitute for systems thinking and applying them alone does not qualify the development of systemic solutions. Systems thinking offers a powerful approach to first improving collective understanding of sustainability challenges related to water and then, in collaboration with a diverse group of stakeholders and the public, defining desired goals for water management and working together to make them a reality. System tools in that context can play an important role in facilitating the process and here we propose an overarching framework of how to select and apply available tools to facilitate a holistic, integrated, and interdisciplinary systems approach for water management and wider urban sustainability transitions.

A biofertilizing fungal endophyte of cranberry plants suppresses the plant pathogen Diaporthe.

Fungi colonizing plants are gaining attention because of their ability to promote plant growth and suppress pathogens. While most studies focus on endosymbionts from grasses and legumes, the large and diverse group of ericaceous plants has been much neglected. We recently described one of the very few fungal endophytes promoting the growth of the Ericaceae Vaccinium macrocarpon (American cranberry), notably the Codinaeella isolate EC4. Here, we show that EC4 also suppresses fungal pathogens, which makes it a promising endophyte for sustainable cranberry cultivation. By dual-culture assays on agar plates, we tested the potential growth suppression (or biocontrol) of EC4 on other microbes, notably 12 pathogenic fungi and one oomycete reported to infect not only cranberry but also blueberry, strawberry, tomato plants, rose bushes and olive trees. Under greenhouse conditions, EC4 protects cranberry plantlets infected with one of the most notorious cranberry-plant pathogens, Diaporthe vaccinii, known to cause upright dieback and berry rot. The nuclear genome sequence of EC4 revealed a large arsenal of genes potentially involved in biocontrol. About ∼60 distinct clusters of genes are homologs of secondary metabolite gene clusters, some of which were shown in other fungi to synthesize nonribosomal peptides and polyketides, but in most cases, the exact compounds these clusters may produce are unknown. The EC4 genome also encodes numerous homologs of hydrolytic enzymes known to degrade fungal cell walls. About half of the nearly 250 distinct glucanases and chitinases are likely involved in biocontrol because they are predicted to be secreted outside the cell. Transcriptome analysis shows that the expression of about a quarter of the predicted secondary-metabolite gene clusters and glucan and chitin-degrading genes of EC4 is stimulated when it is co-cultured with D. vaccinii. Some of the differentially expressed EC4 genes are alternatively spliced exclusively in the presence of the pathogen, altering the proteins' domain content and subcellular localization signal, thus adding a second level of proteome adaptation in response to habitat competition. To our knowledge, this is the first report of Diaporthe-induced alternative splicing of biocontrol genes.