Global Issue Research Articles

Analysis of Psychotropic Substance Seizures Occurring in 2017–2022 in Tamaulipas, a Mexican Border State with USA

The trafficking of illegal substances is a global issue. Tamaulipas, a northeastern state in Mexico, is strategically located for drug trafficking to the United States by organized crime. In this study, drug seizure events conducted by the Mexican government in the main cities of Tamaulipas between 2017 and 2022 are analyzed. It was noticed that there was a decrease in events from 2017 to 2020, followed by a slight increase in 2021. Marijuana was the most seized drug, with cocaine and amphetamines following behind. The frequency of drug seizure events was higher in the border cities of Nuevo Laredo, Reynosa, and Matamoros due to their international commercial bridges with the USA. Nuevo Laredo and Reynosa showed a high amount of marijuana seized. In Matamoros, a coastal city, the quantity of cocaine seized was the highest. Results suggest that substances seized were intended to be illegally transported to the USA through Mexican border cities.

Increased artemisinin production in Artemisia annua L. by co-overexpression of six key biosynthetic enzymes

Malaria remains a global health issue, especially in resource-limited regions. Artemisinin, a key antimalarial compound from Artemisia annua, is crucial for treatment, but low natural yields hinder large-scale production. In this study, we employed advanced transgenic technology to co-overexpress six key biosynthetic enzymes—Isopentenyl Diphosphate Isomerase (IDI), Farnesyl Pyrophosphate Synthase (FPS), Amorpha 4,11-diene Synthase (ADS), cytochrome P450 monooxygenase (CYP71AV1), cytochrome P450 oxidoreductase (AACPR) and artemisinic aldehyde D11 reductase (DBR2)—in A. annua to significantly enhance artemisinin production. Our innovative approach utilized a co-expression strategy to optimize the artemisinin biosynthetic pathway, leading to a remarkable up to 200 % increase in artemisinin content in T1 transgenic plants compared to non-transgenic controls. The stability and efficacy of this transformation were confirmed in subsequent generations (T2), achieving a potential 232 % increase in artemisinin levels. Additionally, we optimized transgene expression to maintain plant growth and development, and performed untargeted metabolite analysis using GC–MS, which revealed significant changes in metabolite composition among T2 lines, indicating effective diversion of farnesyl diphosphate into the artemisinin pathway. This metabolic engineering breakthrough offers a promising and scalable solution for enhancing artemisinin production, representing a major advancement in the field of plant biotechnology and a potential strategy for more cost-effective malaria treatment.

Analysis of graphene as a potential filtration membrane for desalination at varying operating conditions using molecular dynamics simulation and response surface methodology

ABSTRACT Water scarcity is a critical global issue exacerbated by pollution and overuse, necessitating sustainable water management solutions. Desalination using membrane technology presents a promising approach for freshwater production. This study investigated the performance of nanoporous (NPG) membranes for desalination, focusing on the influence of pressure and temperature on water flux and ion rejection. Utilizing molecular dynamics (MD) simulations with the LAMMPS package, this study evaluates NPG membranes under various conditions of pressures and temperatures. The simulations demonstrate that increasing both the pressure and temperature enhances the water flux without compromising ion rejection. The results indicate that at 300 K and 50 MPa, the water flux exceeds 2000 L/m2 h bar, significantly outperforming traditional reverse osmosis membranes, which typically achieve a capacity of approximately 1 L/m2 h bar. These findings were validated experimentally, aligning with previous research and confirming the superior performance of NPG membranes. A statistical model derived from response surface methodology revealed a linear relationship between pressure, temperature, and water flux. The study concludes that NPG membranes offer a high efficiency and scalable solution for desalination, with significant potential for energy savings and cost reduction. This study underscores the viability of NPG membranes in addressing global freshwater shortages and provides a pathway for sustainable water production.

A CFD and experimental analysis of a double-slope solar still with channel integration

Freshwater scarcity is a critical global issue, particularly in arid regions. Solar stills provide a sustainable solution for water desalination using solar energy, yet traditional designs often exhibit limited efficiency. This study examines the performance of a Double Slope Solar Still (DSSS) integrated with a square-shaped conventional channel (CCDSSS) to enhance water evaporation and production. Experiments were conducted in Chengalpattu, Kattankulathur (latitude 12.8° N, longitude 80.03° E) along with three-dimensional simulations using Computational Fluid Dynamics (CFD) and were validated against literature and experimental data. The CCDSSS system achieved a water productivity of 3.084 lm−2day−1, which is 25.67 % higher than the DSSS system’s 2.454 lm−2day−1. It also keeps a uniform temperature within still and enhances vapor velocities, resulting in higher evaporation rates and productivity. Optimal performance was observed with a 10 mm water depth, showing a 24.41 % increase in yield compared to a 30 mm depth. Despite higher initial costs, the CCDSSS system offers a shorter payback period of 238 days compared to 289 days for the DSSS system. This study provides detailed insights on the effect of channel attachment in DSSS highlighting significant improvements in both solar still efficiency and economic performance.

Investigation of thermal, acoustic, mechanical, and radiation shielding performance of waste and natural fibers

It is crucial to address two pressing global issues, energy shortage and environmental pollution, when producing building insulation materials. Using waste and natural fiber groups can be part of the solution. The insulation material was produced using pumpkin fiber, chicken fiber, cotton waste, vermiculite, and epoxy as binders. The samples were tested for thermal conductivity coefficient, ultrasonic sound transmission rate, density, water absorption rate, compressive and bending strength, and fire resistance at temperatures of 75, 100, 125, and 150C. The samples produced using natural and waste materials yielded a thermal conductivity value of 0.041 W/mK, an ultrasonic sound transmission speed of 0.25 km/s, a compressive strength value of 1.57 MPa, and bending strength values of 0.91 MPa. It has been clearly demonstrated that, with its low volume loss, it can serve as an alternative to the EPS-XPS types available in the market. Furthermore, the linear attenuation coefficients (LAC) were examined to obtain radiation shielding properties of the samples at 1173 and 133 keV energies using a 60Co gamma source. Also, LAC values determined between 0,1167 ± 0,0452 cm−1-0,2315 ± 0,0065 cm−1 for 1173 keV and 0,1042 ± 0,0488 cm−1 - 0,2141 ± 0,0062 cm−1 for 1333 keV. Accordingly, it has been revealed that waste compositions are effective in protecting against radiation.

Gallic Acid Alleviates Glucolipotoxicity-Induced Nephropathy by miR-709-NFE2L2 Pathway in db/db Mice on a High-Fat Diet.

Type 2 diabetes mellitus (T2DM) has become a major global issue, with diabetic nephropathy (DN) ranking as one of its most serious complications. The involvement of microRNAs (miRNAs) in the progression of T2DM and DN is an area of active research, yet the molecular mechanisms remain only partially elucidated. Gallic acid (GA), a naturally occurring polyphenolic compound found in various plants such as bearberry leaves, pomegranate root bark, tea leaves, and oak bark, has demonstrated antioxidant properties that may offer therapeutic benefits in DN. The study aimed to investigate the therapeutic potential of GA in mitigating kidney fibrosis, oxidative stress and inflammation, within a glucolipotoxicity-induced diabetic model using db/db mice. The mice were subjected to a high-fat diet to induce glucolipotoxicity, a condition that mimics the metabolic stress experienced in T2DM. Through microarray data analysis, we identified a significant upregulation of renal miR-709a-5p in the diabetic mice, linking this miRNA to the pathological processes underlying DN. GA treatment was shown to boost the activity of including catalase, essential antioxidant enzymes, glutathione peroxidase and superoxide dismutase, while also reducing lipid accumulation in the kidneys, indicating a protective effect against HFD-induced steatosis. In vitro experiments further revealed that silencing miR-709a-5p in MES-13 renal cells led to a reduction in oxidative stress markers, notably lowering lipid peroxidation markers, and significantly boosting the activity of antioxidant defenses. Additionally, NFE2L2, a crucial transcription factor involved in the antioxidant response, was identified as a direct target of miR-709a-5p. The downregulation of miR-709a-5p by GA suggests that this polyphenol mitigates glucolipotoxicity-induced lipogenesis and oxidative stress, potentially offering a novel therapeutic avenue for managing diabetic fatty liver disease and DN. Our findings indicate that GA exerts a protective effect in DN by downregulating miR-709a-5p, thereby alleviating oxidative stress through the suppression of NFE2L2. The results highlight the potential of GA and NFE2L2-activating agents as promising therapeutic strategies in the treatment of DN.

Rapid detection of microfibres in environmental samples using open-source visual recognition models

Microplastics, particularly microfibres (< 5 mm), are a significant environmental pollutant. Detecting and quantifying them in complex matrices is challenging and time-consuming. This study presents two open-source visual recognition models, YOLOv7 and Mask R-CNN, trained on extensive datasets for efficient microfibre identification in environmental samples. The YOLOv7 model is a new introduction to the microplastic quantification research, while Mask R-CNN has been previously used in similar studies. YOLOv7, with 71.4 % accuracy, and Mask R-CNN, with 49.9 % accuracy, demonstrate effective detection capabilities. Tested on aquatic samples from Seyðisfjörður, Iceland, YOLOv7 rapidly identifies microfibres, outperforming manual methods in speed. These models are user-friendly and widely accessible, making them valuable tools for microplastic contamination assessment. Their rapid processing offers results in seconds, enhancing research efficiency in microplastic pollution studies. By providing these models openly, we aim to support and advance microplastic quantification research. The integration of these advanced technologies with environmental science represents a significant step forward in addressing the global issue of microplastic pollution and its ecological and health impacts.

Simultaneous removal of heavy metals and Escherichia coli from water using silver-doped hydroxyapatite-coated activated carbon nano composite-alginate beads

The scarcity of clean water due to heavy metal and microbial contamination is a global issue. In many parts of the world, heavy metals such as Pb, Cd, and U, along with bacteria like Escherichia coli, have been found to exceed permissible limits in groundwater and other water sources that the public depends on for daily drinking water. To address this, we have synthesized a novel composite material consisting of Ag-impregnated hydroxyapatite-coated activated carbon nanoparticles embedded in alginate beads, for the simultaneous removal of heavy metals (U, Pb, and Cd) and Escherichia coli from drinking water. The material's efficiency was evaluated through a series of batch and column experiments. Batch studies indicate 90 % sequestration of U within 5 hours and Pb and Cd within 7 hours, while Escherichia coli (107 cfu/mL) was eradicated instantly. The study confirms that sorption follows pseudo-second-order kinetics via chemisorption and ion-exchange mechanisms. Fixed-bed column studies, using a logistic growth model, showed strong agreement between theoretical and experimental parameters for the Bohart-Adams, Thomas, and Yoon-Nelson models. The beads demonstrated a high affinity for heavy metals, achieving complete removal and disinfection within an empty bed contact time of 1.12 minutes. Reusability studies indicate that even after the third regeneration and reuse cycle, removal efficiency remained about 95 % for U and Pb, and 85 % for Cd. Furthermore, the effects of variations in water quality parameters such as pH, dissolved carbonates, humic acid, and ionic strength (except for Cd) on removal efficiency were minimal. In summary, the study revealed that the Ag-impregnated hydroxyapatite-coated activated carbon nanoparticles embedded in alginate beads are an efficient, sustainable, and cost-effective material for the simultaneous removal of Pb, Cd, U, and Escherichia coli from water with diverse physicochemical properties.

Exploring the association between consultation themes and suicidal ideation: a gender-stratified analysis of Hangzhou Mental Health Hotline (2014-2023)

BackgroundSuicide is a critical global public health issue that demands a better understanding of its complex causes and effective interventions. This study examines data from the Hangzhou Mental Health Hotline (2014-2023) to explore the relationship between consultation themes and suicidal ideation, with an emphasis on gender differences and how these associations changed during different phases of the COVID-19 pandemic.MethodsThis retrospective analysis covers 128,245 calls to the hotline over a decade. Chi-square tests identified differences in suicidal ideation across consultation themes and demographics. Multivariate logistic regression models were used to examine the relationship between specific themes and suicidal ideation, adjusting for confounders. The analysis was stratified by gender and pandemic phases to assess the interaction between gender and pandemic-related changes.ResultsThe incidence of suicidal ideation was highest during the mid-pandemic phase (11.95%), compared to the pre-pandemic (7.68%) and post-pandemic phases (10.66%). Additionally, the rate was slightly higher among female callers (9.8%) than male callers (9.4%). Physical illness (OR = 4.70, 95% CI: 3.71-5.91) had the strongest association with suicidal ideation, followed by mental health issues (OR = 3.35, 95% CI: 3.03-3.70). Compared to male callers, female callers were more significantly affected by physical illness (OR = 6.86 vs. OR = 3.71, p < 0.001) and mental health issues (OR = 6.81 vs. OR = 2.11, p < 0.001). In the context of romantic relationship problems, female callers had a higher likelihood of suicidal ideation (OR = 4.13 vs. OR = 1.88, p < 0.001). Similarly, marital and family issues were more strongly associated with suicidal ideation in female callers (OR = 4.58 vs. OR = 1.21, p < 0.001). During the global COVID-19 pandemic, the association between suicidal ideation and consultation themes among male callers showed a sharp upward trend, which eased after the pandemic. In contrast, the association among female callers gradually accumulated and continued to worsen in the later stages of the pandemic.ConclusionThis study highlights the necessity of implementing gender-sensitive mental health interventions tailored to different gender groups during and after global crises such as the COVID-19 pandemic, to safeguard public mental health effectively.

Copper–nickel–MOF/nickel foam catalysts grown in situ for efficient electrochemical nitrate reduction to ammonia

Reducing nitrate (NO3−) in an aqueous solution to ammonia under ambient conditions can provide a green and sustainable NH3‐synthesis technology and mitigate global energy and pollution issues. In this work, a CuNi0.75–1,3,5‐benzenetricarboxylic acid/nickel foam (CuNi0.75–MOF/NF) catalyst grown in situ was prepared via a one‐pot method as an efficient cathode material for electrocatalytic nitrate reduction reaction (NO3RR). The CuNi0.75–MOF/NF catalyst exhibited excellent electrocatalytic NO3RR performance at −1.0 V versus a reversible hydrogen electrode, achieving an outstanding faradaic efficiency of 95.88 % and an NH3 yield of 51.78 mg h−1 cm−2. The 15N isotope labeling experiments confirmed that the sole source of N in the electrocatalytic NO3RR was the NO3− in the electrolyte. The reaction pathway for the electrocatalytic NO3RR was derived by in situ Fourier transform infrared spectroscopy and in situ differential electrochemical mass spectrometry. Density functional theory calculations revealed that the Ni element in the CuNi0.75–MOF/NF catalyst had excellent O–H activation ability and strong *H adsorption capacity. These *H species were transferred from the Ni sites to the *NO adsorption intermediates located on the Cu sites, providing a continuous supply of *H to Cu, thereby promoting the formation of *NOH intermediates and enhancing the hydrogenation process of the electrocatalytic NO3RR.

Defining the Etiology of Renal Allograft Dysfunction Using Banff 2019 Classification: Correlation with Post-Transplant Duration and Creatinine Levels-A Comprehensive Analysis of 200 Renal Biopsies at a Tertiary Care Medical Center Hospital.

Chronic kidney disease is a growing global health issue, contributing significantly to morbidity and mortality. The incidence of end-stage renal disease (ESRD) is approximately 100 per million population. Renal transplantation remains the cornerstone treatment for ESRD, with a projected 20-year survival rate of 60%. We aim to define the etiology of renal allograft dysfunction using the Banff 2019 classification by analyzing 200 renal allograft biopsies in correlation with creatinine levels across post-transplant time frames. 200 renal allograft biopsies are analyzed using the recent Banff 2019 classification with creatinine levels and post-transplant duration correlation. The study included 150 (75%) male patients and 50 (25%) female patients, with the majority 78 (39%) representing the age group of 16-30 years. 36 (18%) biopsies were within 3-month post-transplant, while 92 (46%) were 2-year post-transplant. According to the Banff 2019 classification, 92 (46.0%) transplant rejection biopsies were identified, with most 54 (27%) exhibiting antibody-mediated rejection (Category 2), including 40 (20%) active acute antibody-mediated rejection (ABMR) and 14 (7.0%) chronic active ABMR. T-cell-mediated rejection (TCMR; Category 4) represented 12 (6%) biopsies, including 10 (5%) acute TCMR and 2 (1%) chronic active TCMR. Category 5, the miscellaneous group, represented 100 (50%) biopsies, out of which 32 (16%) exhibited calcineurin inhibitor (CNI) toxicity, 38 (19%) acute tubular necrosis, and 8 (4%) thrombotic microangiopathy. A notable variation in the dysfunction distribution across different post-transplant time frames indicated a temporal evolution in the underlying causes of allograft dysfunction. Specific Banff categories showed a robust association with renal dysfunction, potentially contributing to the elevation of creatinine levels and renal function deterioration. Our study highlights the intricate pathophysiology of renal allograft dysfunction. Most biopsies were attributed to ABMR whereas one-third of biopsies exhibited mixed lesions (ABMR and TCMR or ABMR and calcineurin inhibitor toxicity (CNIT)). Additionally, this study suggests that renal allograft rejection remains a significant contributor to graft dysfunction. A complex interplay between histological findings, Banff classification, and renal function is noted. A significant difference in the distribution of dysfunction across post-transplant time frames is noted suggesting a temporal evolution in the etiology of allograft dysfunction. Certain Banff categories demonstrate a stronger association with renal dysfunction that may influence creatinine level increase and renal function deterioration. In correspondence to the recent Banff 2019 guidelines for diagnosing ABMR, we emphasize the role of C4d staining on immunofluorescence or immunohistochemistry in allograft biopsies as imperative for timely diagnosis and immunosuppressant therapy adjustment, ultimately enhancing graft survival. Further research is needed to elucidate the underlying mechanisms driving renal dysfunction in different Banff categories, ultimately informing personalized management strategies for patients with renal allograft dysfunction. In line with the Banff 2019 guidelines for diagnosing ABMR, this study highlights the critical role of C4d staining through immunofluorescence or immunohistochemistry in allograft biopsies for early diagnosis and timely adjustment of immunosuppressive therapy, ultimately improving graft survival.

Evolution of Pandemic Discourse: Portrayal of Diseases, Public Healthcare and Culture Anxiety in Pandemic-Themed Film

The pandemic-themed film reveals how quickly a virus spreads and kills hundreds or perhaps millions of people. It also highlights the horrible conditions surrounding the outbreak, especially the collapse of the country's healthcare system. The film also depicts the newly discovered infectious sickness as the interconnectedness of animals, the environment, and humans. The pandemic cinema in the past contains attributes such as illegal immigrants, public healthcare, and zoonoses in its narrative conventions. In the present films, the contemporary global issue have encroached on an ignorance on environmental issues among the government, the industry players, and the public on health and the high possibility of viruses spreading due to the activities of industry. This paper aims to assess the evolution of the portrayal of diseases and public healthcare that reflects cultural anxieties in pandemic cinema and what messages that these films convey. After screening seventy films with pandemic themed released within hundred years, only six films were analysed using Altman’s syntax approach. The findings found that, given the current state of the virus, this kind of film encourages viewers to understand pandemics as the result of pathogens attacking social interactions, interpersonal relationships, and other aspects of society.

Accounting of weathering enhancement by mafic mineral spreading for CO 2 storage

The reduction of atmospheric CO 2 is an urgent global issue in the mitigation of global warming. Carbonate acts as a carbon sink in Earth's surface layer, and the weathering of terrestrial silicates and the deposition of oceanic calcium carbonate and organic matter mainly determine atmospheric and oceanic carbon dynamics on geological time scales. Various CO 2 reduction approaches have been evaluated, and the weathering acceleration method is expected to be a low-cost approach. This study attempts to estimate carbonate precipitation potential and dissolution rate from alkali leaching rates using weathering tests on mafic rocks. Based on Japan's annual average rainfall, the in situ carbonate precipitation potential obtained by spreading an olivine mineral or basalt rock powder at 40 ton-powder/ha was on the order of 10 -3 ton/year/ton-rock. This weathering rate could not be greatly accelerated under natural temperature conditions and fine granulation of the minerals.

The Role of the Pancreatic Extracellular Matrix as a Tissue Engineering Support for the Bioartificial Pancreas.

Type 1 diabetes mellitus (T1DM) is a chronic condition primarily managed with insulin replacement, leading to significant treatment costs. Complications include vasculopathy, cardiovascular diseases, nephropathy, neuropathy, and reticulopathy. Pancreatic islet transplantation is an option but its success does not depend solely on adequate vascularization. The main limitations to clinical islet transplantation are the scarcity of human pancreas, the need for immunosuppression, and the inadequacy of the islet isolation process. Despite extensive research, T1DM remains a major global health issue. In 2015, diabetes affected approximately 415 million people, with projected expenditures of USD 1.7 trillion by 2030. Pancreas transplantation faces challenges due to limited organ availability and complex vascularization. T1DM is caused by the autoimmune destruction of insulin-producing pancreatic cells. Advances in biomaterials, particularly the extracellular matrix (ECM), show promise in tissue reconstruction and transplantation, offering structural and regulatory functions critical for cell migration, differentiation, and adhesion. Tissue engineering aims to create bioartificial pancreases integrating insulin-producing cells and suitable frameworks. This involves decellularization and recellularization techniques to develop biological scaffolds. The challenges include replicating the pancreas's intricate architecture and maintaining cell viability and functionality. Emerging technologies, such as 3D printing and advanced biomaterials, have shown potential in constructing bioartificial organs. ECM components, including collagens and glycoproteins, play essential roles in cell adhesion, migration, and differentiation. Clinical applications focus on developing functional scaffolds for transplantation, with ongoing research addressing immunological responses and long-term efficacy. Pancreatic bioengineering represents a promising avenue for T1DM treatment, requiring further research to ensure successful implementation.

Hypoglycemic activity of Garcinia mangostana L. extracts on diabetes rodent models: A systematic review and network meta-analysis.

Diabetes mellitus is a significant global health issue, and alternative treatments from natural products like Garcinia mangostana L. [Clusiaceae] or GM are being explored for their potential benefits. This study focused on evaluating the hypoglycemic effects of GM on diabetic rodent models. A comprehensive search was conducted in PubMed, Scopus, and Embase for studies reporting blood glucose levels within 2weeks as the primary outcome and changes in total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) as secondary outcomes. A network meta-analysis (NMA) was performed to determine the pooled effectiveness of each intervention, estimating the weighted mean difference (WMD) and 95% confidence interval (CI) from both direct and indirect evidence. The surface under the cumulative ranking curve (SURCA) was used to rank the interventions. Ten articles were identified, with nine included for quantitative analysis. All GM extracts showed greater effectiveness than the control in decreasing blood glucose levels within 2weeks. GM at 200mg/kg (GM200) was the top-ranked extract for reducing glucose levels beyond 2weeks and increasing HDL-C levels. The ethanol extract of GM at 200mg/kg (GME200) was the most effective for blood glucose reduction within 2weeks and for TC and TG reductions. The methanol extract of GM at 200mg/kg (GMM200) was the top-ranked extract for LDL-C reductions. GM and its extracts demonstrated significant hypoglycemic activity and improvements in lipid profiles in diabetic rodent models, highlighting their potential as therapeutic agents for the prevention and treatment of diabetes mellitus. Further research in human trials is warranted to confirm these findings and establish clinical applications. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023426254.

Development of Tetracycline by AgO Nanoparticles and Studying its Activity on Antibiotic-Resistant Bacteria

General background: Antibiotic resistance in bacteria has become a critical global health issue, necessitating the development of new strategies to enhance antibiotic efficacy. Specific background: Nanoparticles, particularly silver nanoparticles (AgNPs), have emerged as potential enhancers of antibiotics due to their unique properties and interactions with bacterial cells. Knowledge gap: However, the combination of nanoparticles with existing antibiotics, such as tetracycline, and their impact on bacterial inhibition and safety has not been fully explored. Aims: This study aims to investigate the antibacterial activity of silver oxide nanoparticles (AgO NPs) combined with tetracycline (TCS) and evaluate their effectiveness against resistant bacterial strains. Results: AgO NPs were synthesized using a photodeposition method, yielding nanoparticles with an average diameter of 2.24 nm. The AgO NPs + TCS combination demonstrated superior antibacterial activity, with a minimum inhibitory concentration (MIC) of 16 μg/mL against Staphylococci and 32 μg/mL against Pseudomonas aeruginosa, significantly outperforming standard tetracycline. Hemolysis assays confirmed the safety of the synthesized compound at all concentrations. Novelty: Silver oxide nanoparticles and tetracycline exhibit a unique synergistic interaction, enhancing antimicrobial effects by increasing bacterial membrane permeability, facilitating greater antibiotic infiltration. Implications: These findings suggest that AgO NPs combined with tetracycline offer a promising solution to overcome bacterial resistance, providing a potent and safe alternative to conventional antibiotic treatments. Highlights: AgO NPs and tetracycline show enhanced antibacterial effects. More effective than standard tetracycline against resistant bacteria. Safe with no toxicity observed in hemolysis tests. Keywords: Antibiotic resistance, silver nanoparticles, tetracycline, photodeposition, antibacterial activity

Efficient microplastic identification by hyperspectral imaging: A comparative study of spatial resolutions, spectral ranges and classification models to define an optimal analytical protocol

Microplastics (MPs) pollution is a global and challenging issue, necessitating the development of efficient analytical strategies for their detection to monitor their environmental impact.This study aims to define an optimal analytical protocol for characterizing MPs by hyperspectral imaging (HSI), comparing different setups based on spatial resolution, spectral range and classification models. The investigated MPs include polymers commonly found in the environment, such as polystyrene (PS), polypropylene (PP) and high-density polyethylene (HDPE), subdivided in three size classes (1000–2000 μm, 500–1000 μm, 250–500 μm). Furthermore, MP particles with diameters ranging from 30 to 250 μm were assessed to determine the limit of detection (LOD) in the different configurations. Hyperspectral images were acquired with two spatial resolutions, 150 and 30 μm/pixel, and two spectral ranges, 1000–1700 nm (NIR) and 1000–2500 nm (SWIR). Three classification models, Partial Least Square-Discriminant Analysis (PLS-DA), Error Correction Output Coding-Support Vector Machine (ECOC-SVM) and Neural Network Pattern Recognition (NNPR) were tested on the acquired images. The correctness of these models was evaluated by prediction maps and statistical parameters (Recall, Specificity and Accuracy). The results demonstrated that for MP particles larger than 250 μm, the optimal setup is a spatial resolution of 150 μm/pixel and a spectral range of 1000–1700 nm, utilizing a linear classification model like PLS-DA. This approach offers accurate predictions while being time- and cost-efficient. For MPs smaller than 250 μm, a higher spatial resolution of 30 μm/pixel with a spectral range of 1000–2500 nm and a non-linear classification method like ECOC-SVM is preferable. The LOD is 250 μm for the 150 μm/pixel resolution and ranges from 100 to 200 μm for the 30 μm/pixel resolution. These findings provide a valuable guide for selecting the appropriate HSI acquisition conditions and data processing methods to optimally characterize MPs of different sizes.

Impact of GLP-1 Agonists on Depression Treatment: A Literature Review

Introduction Depression is increasingly recognized as a major global health issue, driven by neurobiological, genetic, and environmental factors. Despite extensive research, understanding depression remains challenging due to its complexity and the lack of biomarkers. Recent studies highlight a link between depression and metabolic disturbances, emphasizing the need for alternative therapeutic approaches. Purpose This review aims to explore the therapeutic potential of GLP-1 (glucagon-like peptide-1) in treating depression, focusing on its impact on neurogenesis, neuroinflammation, neurotransmitter imbalances, and synaptic dysfunction. Materials and Methods A systematic review was conducted by analyzing literature from databases such as PubMed and Google Scholar, covering studies from 2003 to 2024. The review focused on keywords related to GLP-1, depression, and diabetes. Description of the State of Knowledge This section discusses the neurobiological mechanisms of depression, including neuroinflammation, neurotransmitter imbalances, and impaired neurogenesis. It highlights the potential of GLP-1 agonists to address these issues and improve mood and cognitive function. Conclusion The review concludes that GLP-1 holds promise as a therapeutic target for depression. Beyond its metabolic roles, GLP-1 can influence brain regions involved in mood regulation, enhance neurogenesis, reduce neuroinflammation, and improve neurotransmitter balance. These effects suggest that GLP-1-based therapies could offer new treatment options for depression, potentially improving outcomes beyond traditional antidepressants.

B-293 Enzyme linked immunosorbent assay development and full validation for the quantification of the antibody conjugated fraction of an antiFAP ADC in human serum

Abstract Background Cancer remains a global public health issue. Despite recent progress in early diagnosis and treatment strategies, development of anti-tumor therapies with reduced systemic toxicity remains a challenge. Antibody-drug conjugates (ADCs), a new, highly-potent drug class are synthesized by linking a small molecule cytotoxic drug to a tumor specific antibody, are an emerging treatment option for many cancers. Despite advances in ADCs, study of the pharmacokinetics (PK) is challenging. A complete PK profile requires at least three analytical methods to determine: conjugated antibody, total antibody, and free drug by Ligand Binding Assays (LBA) and liquid chromatography/tandem mass spectrometry (LC-MS/MS) respectively. Objective To develop and validate an ELISA method to quantify the conjugated antibody fraction of an anti-fibroblast activation protein (FAP) ADC against solid tumors in human serum. Methods Conjugated antibody assay: This indirect sandwich ELISA utilizes human FAP as capture antigen (Abcam) with a proprietary rabbit polyclonal anti-drug IgG as detection antibody. The signal is amplified by the use of a second antibody conjugated to Horse Radish Peroxidase (Abcam). Absorbance is measured at 450nm. Immunoassay method validation was done in compliance with the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) M10 which establishes the limit for precision in CV% and accuracy in Relative Error (RE%) at ± 20% each (± 25% for LLOQ and ULOQ). Additionally, the total error (TE%) for accuracy and precision batches, should be ≤ 30% (≤ 40% at LLOQ and ULOQ). Results The weighted calibration curves were linear over a concentration range 0.5 to 100 µg/mL. A four-parameter regression model with a 1/Y2 weighting factor was adopted to best fit the OD450 values and concentrations. The intra- and inter-assay accuracy and precision for RE% and CV% was &amp;lt;12%, with a TE% &amp;lt; 23% for all concentrations tested. The quantification limit of 0.5 µg/mL complies with ICH criteria with a RE%, CV% and TE% of -10%, 8,5% and 15% respectively. Selectivity and specificity test fall within the criteria indicating that no individual matrix or co-medication affects the samples. The results from the dilution linearity obtained were an RE% of 11, -16 and -6 for 1:50, 1:100 and 1:200 respectively. Furthermore, not hook effect was observed as the dilution QC results gave above the quantification limit. Finally, the analyte was found to be stable at -20° and -80°for 148 days, at room temperature for 24hr and after 5 freeze/thaw cycles with a maximum RE and CV of 12 and 14% respectively in all the stability samples. Conclusions We have developed and optimized an ELISA method for measuring the antibody conjugated fraction of the ADC in serum. This method complies with the criteria of the ICH50 for selectivity, specificity, accuracy and precision, dilution linearity and hook effect in a concentration range between 0.5 - 100 µg/mL. Further, serum specimens are stable for 24h at room temperature, 5 freeze/thaw cycles and 148 days at -20 and -80 °C.

B-212 Laboratory Performance in Molecular Detection of Mycobacterium tuberculosis Through Analysis of External Quality Assessment Program Results: WHO-Recommended Tests Outperform Others

Abstract Background In 2022, tuberculosis caused 11,200 deaths in Brazil and 1,300,000 globally. With 87,344 new cases, it remains a leading infectious cause of death, second only to COVID-19. Prompt detection is critical, particularly with the growing resistance to rifampicin and isoniazid, highlighting the need for molecular testing. External Quality Assessment Programs (EQAP) are essential to ensure the accuracy, reliability, and harmonization of laboratory results amid the complexities of M. tuberculosis infection. Here, we evaluate the overall performance of participating laboratories (labs) in three EQAP related to tuberculosis: M. tuberculosis molecular detection (MTB), Rifampicin resistance detection (RIF), and Isoniazid resistance detection (INH). All are organized by a Brazilian provider accredited according to the ABNT NBR ISO/IEC 17043:2011 standard. Methods The EQAP samples were suspensions containing human cells, with or without the addition of cultured, inactivated, and lyophilized M. tuberculosis. Labs received two samples quarterly for testing accuracy, sensitivity, and specificity. We computed these metrics along with participant and round numbers. The Mann-Kendall test assessed accuracy trends over time. Furthermore, kit type accuracies for in-vitro diagnostic (IVD) vs. laboratory-developed tests (LDT), World Health Organization recommended (WHO-recommended) vs. other kits (non-WHO), and methods (qPCR vs. PCR) were compared using chi-square tests and odds-ratio calculations. Results In the MTB EQAP (2018-2022), 63 labs participated over 20 rounds, with 22 (range: 6-48) labs per round on median, achieving 96.6% accuracy (853/883), 97.5% sensitivity (556/570), and 94.9% specificity (297/313). The Mann-Kendall test found no significant accuracy trends over time (τ = -0.91, p = 0.36). IVDs outperformed LDTs with 97.8% (751/768) vs. 87.9% (102/116) accuracy (OR=6.0, 95%CI 3.42-20.9, p&amp;lt;0.0001). WHO-recommended kits were more accurate than non-WHO kits, 98.2% (674/686) vs. 90.4% (179/198) (OR=5.96, 95%CI 1.05-12.7, p&amp;lt;0.0001). qPCR exceeded the accuracy of PCR, 97.2% (833/857) versus 74% (20/27) (OR=12.1, 95%CI 4.8-32.9, p&amp;lt;0.0001). For RIF EQAP (2020-2022), 49 laboratories in 9 rounds, with 25 (range: 18-42) laboratories per round on median, showed 97.4% accuracy (297/305), 97.2% sensitivity (176/181), and 97.6% specificity (121/124). In the INH EQAP (2021-2022), 7 laboratories over 7 rounds, with 4 (range: 2-5) laboratories per round on median, reached 95.2% accuracy (20/21), 100% sensitivity (4/4), and 94.1% specificity (16/17). Differences between types of kits and methods for RIF and INH, as well as trends over time, were not significant or could not be calculated due to the limited number of samples. Conclusions The MTB EQAP underscored the high participation and suitability of labs, along with excellent diagnostic performance; IVD kits were 6 times more likely to yield adequate results than LDTs. WHO-recommended kits were 5.9 times more likely to produce adequate results than non-WHO kits. qPCR was 12.6 times more likely to achieve adequate results than PCR. Despite fewer participants in RIF and INH, their performance rates were high; more data are needed for conclusive results on kit and method types. This study affirms the quality of molecular diagnostics for tuberculosis in Brazil, informs on kit and method selection, and underscores the critical role of EQAPs in combating a significant global health issue.