bluuebunny/crossref_metadata_2025 huggingface dataset:
Towards a 3D-Printed Millifluidic Device for Investigating Cellular Processes
Authors: Engelken Jared A. , Butelmann Tobias , Tribukait-Riemenschneider Fabian , Shastri V. Prasad
Published: October 2024

Microfluidic devices (µFDs) have been explored extensively in drug screening and studying cellular processes such as migration and metastasis. However, the fabrication and implementation of microfluidic devices pose cost and logistical challenges that limit wider-spread adoption. Despite these challenges, light-based 3D printing offers a potential alternative to device fabrication. This study reports on the development of millifluidic devices (MiFDs) for disease modeling and elucidates the methods and implications of the design, production, and testing of 3D-printed MiFDs. It further details how such millifluidic devices can be cost-efficiently and effortlessly produced. The MiFD was developed through an iterative process with analytical tests (flow tests, leak tests, cytotoxicity assays, and microscopic analyses), driving design evolution and determination of the suitability of the devices for disease modeling and cancer research. The design evolution also considered flow within tissues and replicates interstitial flow between the main flow path and the modules designed to house and support organ-mimicking cancer cell spheroids. Although the primary stereolithographic (SLA) resin used in this study showed cytotoxic potential despite its biocompatibility certifications, the MiFDs possessed essential attributes for cell culturing. In summary, SLA 3D printing enables the production of MiFDs as a cost-effective, rapid prototyping alternative to standard µFD fabrication for investigating disease-related processes.
Evaluation of Multidrug Resistance of Salmonella Isolated from Pork Meat Obtained from Traditional Slaughter Systems in Romania
Authors: Tăbăran Alexandra , Dan Sorin Danel , Colobaţiu Liora Mihaela , Mihaiu Marian , Condor Sergiu , Mărgăoan Rodica , Crişan-Reget Oana Lucia
Published: October 2024

Antibiotic resistance among pathogenic bacteria in humans and animals poses a critical public health challenge, leading to diminished effectiveness of existing antimicrobial treatments. Notably, animal-derived food products are significant vectors for the transmission of resistant bacteria to humans, with Salmonella species being predominant culprits in foodborne illnesses. This study investigates the prevalence and antibiotic resistance patterns of Salmonella serovars isolated from traditionally sourced pork meat in Romania. Over a four-year period, 208 pork samples were collected using standardized protocols during traditional slaughtering practices. Salmonella spp. were isolated following ISO 6579:2002 guidelines and confirmed using biochemical assays and PCR. Serotyping was performed using specific antisera, and antimicrobial susceptibility testing was conducted through the standard disk diffusion method, assessing 11 antibiotics. Results indicated a 23.07% prevalence of Salmonella, with 48 isolates categorized into eight serovars, primarily S. Infantis (n = 15), S. Typhimurium (n = 15), and S. Derby (n = 11). PCR results confirmed the presence of Salmonella by detecting the hilA and ompC genes, with 31.25% of isolates being positive for the Typhimurium-specific sequence. Notably, 93.75% of the isolates were multidrug-resistant (MDR), exhibiting high resistance rates against streptomycin (91.66%) (>10 µg), tetracycline (83.33%) (>30 µg), and sulfamethoxazole (68.75%) (>300 µg). More than 60% of MDR isolates displayed resistance to five or more antibiotics. These findings underscore the need for coordinated control measures in the pork production chain to combat the spread of Salmonella and protect public health. Enhanced surveillance and intervention strategies are crucial for addressing antibiotic resistance and reducing the risk of foodborne illnesses linked to contaminated animal products.
Characterization of a Levanderina fissa Bloom in Aquaculture Ponds and Its Utilization of Dissolved Organic Phosphorus
Authors: Chen Honglin , Yin Xueyao , Chen Yujiao , Wang Yinghao , Li Qiuping , Ji Nanjing , Zhou Lingjie , Hu Guangwei , Shen Xin
Published: October 2024

Harmful algal blooms (HABs) pose significant threats to ecosystems and human health worldwide, with their frequency and intensity increasing substantially. The present study reports an algal bloom observed in an aquaculture pond near Haizhou Bay in July 2022. The causative species, identified through morphological observation and DNA barcoding analysis, was the dinoflagellate Levanderina fissa (Levander) Moestrup, Hakanen, Gert Hansen, Daugbjerg & M. Ellegaard, 2014, known for causing extensive HAB events in the coastal waters of China. A sharp decline in phytoplankton species diversity was observed during the transition from the pre-bloom to the bloom phase. Furthermore, the uptake of four types of dissolved organic phosphorus (DOP), including glucose-6-phosphate (G6P), adenosine-5-triphosphate (ATP), sodium tripolyphosphate (TPP), and glyphosate, by isolated L. fissa was investigated in the laboratory. The results showed that G6P, ATP, and TPP supported L. fissa growth as effectively as orthophosphate. Additionally, the elevated concentrations of dissolved inorganic phosphorus in the media of the three treatments indicated the involvement of extracellular hydrolysis. However, alkaline phosphatase was not responsible for the hydrolysis of these three forms of DOP. This study demonstrates that the ability of L. fissa to utilize DOP may confer a competitive advantage within phytoplankton communities, potentially leading to algal blooms in aquaculture ponds.
Evaluation of Genotoxic and Hemolytic Effects of Aphanizomenon flos-aquae and Microcystis aeruginosa Biomass Extracts on Human Blood Cells In Vitro
Authors: Đorđević Nevena B. , Vukajlović Jovana Tubić , Milošević-Đorđević Olivera , Mihailović Vladimir B. , Srećković Nikola Z. , Rakonjac Aleksandra B. , Simić Snežana B.
Published: October 2024

This study explores the in vitro effects of cyanotoxins from the methanolic extract of the cyanobacteria Aphanizomenon flos-aquae and Microcystis aeruginosa on human blood cells, with samples drawn from the Gruža reservoir in Serbia. These cyanobacteria, which made up 98.5% of the reservoir’s phytoplankton, reached densities of 4,656,450 cells mL−1, with A. flos aquae (3,105,120 cells mL−1) as the dominant species, followed by M. aeruginosa (1,480,130 cells mL−1). A cyanotoxin analysis of biomass detected anatoxin-a (3.56 µg g−1), cylindrospermopsin (6.86 µg g−1), microcystin LR (0.87 µg g−1), and microcystin RR (2.47 µg g−1). This study assessed the genotoxic potential of the methanolic extract of the cyanobacterial biomass by evaluating the DNA damage and the Genetic Damage Index (GDI) in peripheral blood lymphocytes (PBLs) from healthy donors. The results showed a dose-dependent increase in the DNA damage, from 35.67 ± 4.93% at 10 µg mL−1 to 95.67 ± 1.53% at 100 µg mL−1, with a corresponding rise in the GDI from 0.61 ± 0.02 to 2.39 ± 0.07. The extract also caused the concentration-dependent hemolysis of red blood cells, with 5.63% hemolysis at the highest concentration (200 µg mL−1). These findings underscore the significant genotoxic risks posed by cyanotoxins from biomass extracts of A. flos aquae and M. aeruginosa, particularly in water sources used for human consumption.
A Study and In Vitro Evaluation of the Bioactive Compounds of Broad Bean Sprouts for the Treatment of Parkinson’s Syndrome
Authors: Hu Danni , Qing Guanglei , Liu Xuecheng , Cheng Jianming , Zhang Kewei , He Lingyun
Published: October 2024

Levodopa (LD) is the first discovered and the most promising and effective medication for Parkinson’s disease (PD). As the first identified natural source of LD, Vicia faba L. (broad beans), especially its sprouts, has been confirmed to contain many other potential bioactive compounds that could also be therapeutic for PD. In this study, the bioactive components obtained from broad bean sprout extraction (BSE) that could be beneficial for PD treatment were screened, and the related mechanisms were explored. Solvent extraction combined with column chromatography was used to isolate bioactive fractions and monomer compounds, while UPLC-ESI-MS/MS, HRESI-MS and (1H, 13C) NMR were employed for compound identification. Network pharmacology techniques were applied to screen for potential mechanisms. A total of 52 compounds were identified in a 50% MeOH extract of broad bean sprouts. Moreover, twelve compounds were isolated and identified from ethyl acetate and n-butanol portions, including caffeic acid (1), trans-3-indoleacrylic acid (2), p-coumaric acid (3), protocatechualdehyde (4), isovitexin (5), isoquercetin (6), grosvenorine (7), kaempferol-3-O-rutinoside (8), isoschaftoside (9), narcissin (10), kaempferitrin (11) and trigonelline HCl (12). Compounds 2, 4, 7, 8 and 12 were isolated from Vicia faba L. for the first time. The potential mechanisms were determined by analyzing 557 drug targets, 2334 disease targets and 199 intersections between them using a protein–protein interaction (PPI) network, gene ontology (GO) analysis and Kyoto encyclopedia of genes and genomes (KEGG) enrichment. Further in vitro experiments confirmed that caffeic acid (compound 1) and p-coumaric acid (compound 3) have neuroprotective effects in 6-hydroxydopamine-treated SH-SY5Y cells and lipopolysaccharide-treated PC-12 cells through anti-inflammatory and antioxidant mechanisms. In conclusion, this study explored effective components in broad bean sprouts and performed in vitro evaluations.
Short-Term Zinc Supplementation Stimulates Visceral Adipose Catabolism and Inflammation in Mice
Authors: Huang Xiaohua , Jiang Dandan , Zhu Yingguo , Fang Zhengfeng , Feng Bin
Published: October 2024

Background: Zinc (Zn), a fundamental trace element in human biology, exhibits pivotal roles in sustaining vital physiological processes and regulating metabolic homeostasis. Insufficient zinc intake has been linked to deleterious consequences on growth, reproductive functions, metabolic activities, and immune responses in both humans and animals. Oral zinc supplementation is usually performed to meet zinc requirement. Previous studies have shown that long-term supplementation of zinc in mice impaired AKT signaling and induced adipocyte hypertrophy in visceral adipose tissue. Methods: The presented study was conducted to investigate the role and mechanism of short-term zinc supplementation on lipids metabolism. Zinc sulfate was supplemented in the drinking water of C57/BL6J male mice at 30 ppm or 90 ppm for one week. Water consumption, food intake, and body weight were analyzed, adipose tissue and serum profile of metabolites were investigated, and the key genes related to lipid metabolism were analyzed. Results: Short-term zinc supplementation decreased visceral adipose tissue weight and adipocyte size compared to the control group, but no difference was observed in food intake, water consumption, and body weight between the two groups. Further studies revealed that short-term zinc supplementation significantly increased the serum insulin level while decreasing the serum NEFA content. In addition, zinc supplementation increased the expression of Atgl and Hsl in the visceral adipose tissue compared with the control mice. Furthermore, the phosphorylation level of HSL and protein level of PPARg in the epididymal adipose tissue increased by zinc supplementation compared with the control mice. In comparison, the protein level of FASN was down-regulated by short-term zinc supplementation in the epididymal adipose tissue, although the expression of lipogenic genes was not changed. The expression of F4/80 and Tnfa were increased in zinc-supplemented adipose tissue as compared with the control group. Conclusions: Our findings suggest that short-term zinc supplementation might reduce fat deposition by enhancing lipolysis in mice. Future studies could focus on the effect of intermittent zinc supplementation on fat reduction in both animal models and humans.
Association Between Chrononutrition Patterns and Multidimensional Sleep Health
Authors: Kim Namhyun , Conlon Rachel Kolko , Farsijani Samaneh , Hawkins Marquis Samuel
Published: October 2024

Background/Objectives: Sleep health has been associated with diet quality, but the relationship between chrononutrition patterns and multidimensional sleep health is unclear. This study identifies chrononutrition patterns among U.S. adults and examines their associations with multidimensional sleep health. Methods: This cross-sectional analysis used data from the 2017–2020 National Health and Nutrition Examination Survey. Chrononutrition behaviors were assessed using two 24 h dietary recalls. Latent profile analysis was used to identify chrononutrition profiles. Multivariable survey regression models determined the associations between chrononutrition patterns and sleep health dimensions. Results: The sample included 5228 subjects with a median age of 49 years. Of the sample, 52% of the participants were female, and 65% were White. In adjusted models, each additional hour between wake time and first instance of eating was associated with a 19% increase in the odds of poor timing (sleep midpoint < 2:00 a.m. or >4:00 a.m.; 95% CI: 1.07–1.33) and a 21% increase in poor duration (<7 or >9 h/night; 95% CI: 1.09–1.33). Each additional hour between last eating and bedtime was associated with 9% higher odds of poor duration (95% CI: 1.03–1.16). A one-hour longer eating window was associated with 10% lower odds of poor timing (95% CI: 0.84–0.98). We identified five chrononutrition profiles: Typical Eating (reference), Early Finished Eating, Later Heavy Eating, Extended Window Eating, and Restricted Window Eating. The Later Heavy Eating profile exhibited 96% higher odds of poor timing (95% CI: 1.09–3.51) and the Restricted Window Eating profile had 94% higher odds of poor duration (95% CI: 1.10–3.43). Conclusions: These findings highlight the importance of unique chrononutrition patterns in relation to multidimensional sleep health. We provide a framework for future studies to identify personalized chrononutrition interventions and their role in improving sleep health.
Effect of Oral Administration of Collagen Peptide OG-5 on Advanced Atherosclerosis Development in ApoE−/− Mice
Authors: Yang Yijie , Li Bo
Published: October 2024

Background/Objectives: Atherosclerosis is a chronic inflammatory disease of the arterial wall, which involves multiple cell types. Peptide OG-5 is identified from collagen hydrolysates derived from Salmo salar and exhibits an inhibitory effect on early atherosclerosis. The primary objective of this study was to investigate the impact of OG-5 on advanced atherosclerotic lesions as well as its stability during absorption. Methods: In this study, the ApoE-/- mice were employed to establish advanced atherosclerosis model to investigate the treatment effect of peptide OG-5. Results: The results showed that oral administration of OG-5 at a dosage of 150 mg/kg bw resulted in a 30% reduction in the aortic plaque formation area in ApoE−/− mice with few bleeding risks. Specifically, intervention with a low dose of OG-5 (50 mg/kg bw), initiated in the early stage of atherosclerosis, continues to provide benefits into the middle and late stages without bleeding risks. Furthermore, treatment of OG-5 increased expression levels of contractile phenotype markers and reduced the accumulation of lipoprotein in VSMCs induced by ox-LDL. Peptide OG-5 could ensure transport across Caco-2 cell monolayers, exhibiting a Papp value of 1.80 × 10−5 cm/s, and exhibited a robust stability in plasma with remaining content >70% after 8 h incubation. In vivo studies revealed that OG-5 reached maximum concentration in blood after 120 min. Conclusion: The present results demonstrate the potential efficacy of peptide OG-5 as a promising agent for intervention in anti-atherogenesis strategies.
Improvement in Glycolipid Metabolism Parameters After Supplementing Fish Oil-Derived Omega-3 Fatty Acids Is Associated with Gut Microbiota and Lipid Metabolites in Type 2 Diabetes Mellitus
Authors: Xia Jiayue , Yin Shiyu , Yu Junhui , Wang Jiongnan , Jin Xingyi , Wang Yuanyuan , Liu Hechun , Sun Guiju
Published: October 2024

Background/Objectives: This study aimed to investigate the effects of fish oil-derived omega-3 polyunsaturated fatty acids (omega-3 PUFAs) on gut microbiota and serum lipid metabolites in T2DM. Methods: In a three-month, randomized, double-blind, placebo-controlled study, 110 T2DM patients received either fish oil (n = 55) or corn oil (n = 55) capsules daily. Serum lipids, glycemic parameters, gut microbiota diversity, and lipidomics were assessed. Results: This study found that fish oil-derived omega-3 PUFAs intervention did not significantly lower the fasting plasma glucose levels when compared with the baseline level (p > 0.05). However, serum fasting blood glucose (p = 0.039), glycosylated hemoglobin levels (p = 0.048), HOMA-IR (p = 0.022), total cholesterol (p < 0.001), triglyceride (p = 0.034), LDL cholesterol (p = 0.048), and non-HDL levels (p = 0.046) were significantly lower in the fish oil group compared with the corn oil group after three months of intervention. Also, it altered glycerophospholipid metabolism and gut microbiota. After three months, the fish oil group showed a significantly lower abundance of Desulfobacterota compared with the corn oil control group (p = 0.003), with reduced levels of Colidextribacter (p = 0.002), Ralstonia (p = 0.021), and Klebsiella (p = 0.013). Conversely, the abundance of Limosilactobacillus (p = 0.017), Lactobacillus (p = 0.011), and Haemophilus (p = 0.018) increased significantly. In addition, relevant glycolipid metabolism indicators showed significant correlations with the altered profiles of serum lipid metabolites, intestinal bacteria, and fungi. Conclusions: This study highlights the impact of fish oil-derived omega-3 PUFAs on intestinal microbiota structure and function in patients with type 2 diabetes. The observed decrease in pathogenic bacterial species and the enhancement of beneficial species may have significant implications for gut health and systemic inflammation, both of which are pivotal in managing diabetes. Further research is warranted to comprehensively elucidate the long-term benefits and underlying mechanisms of these microbiota alterations.
Nephro- and Cardiotoxic Effects of Etoricoxib: Insights into Arachidonic Acid Metabolism and Beta-Adrenergic Receptor Expression in Experimental Mice
Authors: Jamous Yahya F. , Alghamdi Badrah S. , Jarrar Yazun , Hindi Emad A. , Alam Mohammad Z. , Abd El-Aziz Gamal S. , Ibrahim Rabee F. , Bakhlgi Refal , Algarni Salha M. , AboTaleb Hanin A.
Published: October 2024

Background: Etoricoxib is a widely used anti-inflammatory drug, but its safety profile concerning cardiovascular and renal health remains inadequately explored. This study aimed to assess the nephro- and cardiotoxic effects of etoricoxib in a murine model, with a focus on its impact on arachidonic acid-metabolizing enzymes and beta-adrenergic receptors associated with drug-induced toxicity. Methods: Thirty-five BALB/C mice were randomly assigned to five groups: control, low-dose etoricoxib, high-dose etoricoxib, low-dose celecoxib, and high-dose celecoxib (a well-known nephro- and cardiotoxic NSAID). The treatments were administered for 28 days, after which hearts and kidneys were excised for physical and histopathological analysis, and the expression of arachidonic acid-metabolizing enzymes (cytochrome P450s, lipoxygenases, cyclooxygenases) and beta-1 adrenergic receptor (adrb1) and angiotensin-converting enzyme (ace2) genes were quantified using quantitative reverse transcription PCR (qRT-PCR). Results: Etoricoxib administration resulted in dose-dependent nephro- and cardiotoxic effects. Renal histology revealed glomerular atrophy or hypertrophy and significant damage to the proximal and distal convoluted tubules, including epithelial flattening, cytoplasmic vacuolation, and luminal widening. Cardiac analysis showed disorganized muscle fibers and hyaline degeneration. These changes were associated with altered gene expression: the downregulation of cox2, cyp1a1, and cyp2c29 in the kidneys and the upregulation of cyp4a12, cox2, and adrb1, along with the downregulation of cyp2c29 and ace2 in the heart. Conclusions: Etoricoxib induces nephro- and cardiotoxicity, marked by alterations in arachidonic acid metabolism and beta-adrenergic signaling pathways. The drug affects the expression of arachidonic acid-metabolizing enzymes and adrb1 in the heart while downregulating cox2 and other related enzymes in the kidneys. These findings underscore the need for caution when prescribing etoricoxib, particularly in patients with pre-existing renal or cardiac conditions.
Different PSMA Radiopharmaceuticals: A Comparative Study of [18F]F-PSMA-1007, [18F]F-JK-PSMA-7, and [99mTc]Tc-PSMA-I&S in the Skeletal System
Authors: Mikó Zsófia Sára , Varga László , Farkas István , Tóth Gyula , Apró Kristóf , Révész Barnabás Márk , Sipka Gábor , Tompa Péter Gergő , Bakos Annamária , Czékus Tamás , Bukva Mátyás , Pávics László , Varga Linda , Maráz Anikó , Besenyi Zsuzsanna
Published: October 2024

Background: Numerous PSMA-based tracers are used for diagnostic prostate cancer imaging, but comprehensive comparisons between multiple ligands are lacking. This study aimed to compare physiological skeletal uptake and tracer uptake in commonly recommended PSMA reference regions across three different PSMA ligands in prostate cancer patients. Methods: A total of 281 prostate cancer patients were included. Using PET and SPECT imaging, target volumes of interest were defined via a semiautomatic method, and standardized uptake values (SUV) were calculated for the skeletal system and reference regions (liver, spleen, parotid gland, and blood pool). Results: Significant differences in SUV uptake were observed, with [18F]F-PSMA-1007 showing higher SUV values in the skeletal system. The parotid gland displayed the highest variability in uptake, while the blood pool and liver exhibited more homogeneous uptake across patients. Conclusions: While radioligands behave similarly in bone regions, there are notable differences in SUV patterns, particularly for PSMA-1007, which showed higher bone uptake. Parotid gland uptake variability suggests a reconsideration of its suitability as a reference region, while the liver, spleen, and blood pool showed more consistent uptake. During comparison, the technetium-labeled SPECT ligand proved as similarly effective as the two PET ligands for diagnostic imaging.
From the INVICTUS Trial to Current Considerations: It’s Not Time to Retire Vitamin K Inhibitors Yet!
Authors: Pradhan Akshyaya , Mahalawat Somya , Perrone Marco Alfonso
Published: October 2024

Atrial fibrillation (AF) is a common arrhythmia in clinical practice, and oral anticoagulation is the cornerstone of stroke prevention in AF. Direct oral anticoagulants (DOAC) significantly reduce the incidence of intracerebral hemorrhage with preserved efficacy for preventing stroke compared to vitamin K antagonists (VKA). However, the pivotal randomized controlled trials (RCTs) of DOAC excluded patients with valvular heart disease, especially mitral stenosis, which remains an exclusion criterion for DOAC use. The INVICTUS study was a large multicenter global RCT aimed at evaluating the role of DOAC compared to VKA in stroke prevention among patients with rheumatic valvular AF. In this study, rivaroxaban failed to prove superiority over VKA in preventing the composite primary efficacy endpoints of stroke, systemic embolism, myocardial infarction, and death. Unfortunately, the bleeding rates were not lower with rivaroxaban either. The death and drug discontinuation rates were higher in the DOAC arm. Close to the heels of the dismal results of INVICTUS, an apixaban trial in prosthetic heart valves, PROACT-Xa, was also prematurely terminated due to futility. Hence, for AF complicating moderate-to-severe mitral stenosis or prosthetic valve VKA remains the standard of care. However, DOAC can be used in patients with surgical bioprosthetic valve implantation, TAVR, and other native valve diseases with AF, except for moderate-to-severe mitral stenosis. Factor XI inhibitors represent a breakthrough in anticoagulation as they aim to dissociate thrombosis from hemostasis, thereby indicating a potential to cut down bleeding further. Multiple agents (monoclonal antibodies—e.g., osocimab, anti-sense oligonucleotides—e.g., fesomersen, and small molecule inhibitors—e.g., milvexian) have garnered positive data from phase II studies, and many have entered the phase III studies in AF/Venous thromboembolism. Future studies on conventional DOAC and new-generation DOAC will shed further light on whether DOAC can dethrone VKA in valvular heart disease.
Phytochemical Characterization Utilizing HS-SPME/GC-MS: Exploration of the Antioxidant and Enzyme Inhibition Properties of Essential Oil from Saudi Artemisia absinthium L.
Authors: Aati Hanan Y. , Attia Hala A. , Alanazi Arwa S. , AL tamran Luluh K. , Wanner Juergen K.
Published: October 2024

Background/Objectives: This study aimed to analyze the chemical composition and biological activities of Artemisia absinthium L. essential oil, focusing on its antioxidant and enzyme inhibition (α-amylase and urease) properties. Additionally, in vitro pharmacokinetic and pharmacodynamic evaluations were conducted through in silico molecular docking and BOILED-Egg models to assess its therapeutic potential and its potency in treating oxidative-stress-related diseases. Methods: The essential oil was isolated by the hydrodistillation (HD) of fresh plant material, and volatiles released from dried plant material were sampled via headspace solid-phase microextraction (HS-SPME), followed by a phytochemical profiling analysis through the GC-MS tool. Antioxidant capacity was assessed using DPPH, ABTS, FRAP, and nitric oxide scavenging assays, while enzyme inhibition activities were tested against α-amylase and urease. Molecular docking and BOILED-Egg models were used to evaluate compound interactions with NADPH oxidase and predict pharmacokinetic behavior, respectively. Results: HS-SPME and HD yielded 46 and 25 compounds, respectively, primarily terpenoids represented by camphor (26.4%) and cis-davanone (18.0%) in HS-SPME, while in the HD essential oil, cis-davanone (60.2%) and chamazulene (10.8%) were most prevalent. The antioxidant assays showed a strong activity, with a total antioxidant capacity of 821.8 mg ascorbic acid Eq/gm. The essential oil inhibited urease by 86.7% and α-amylase by 81.8%. Molecular docking showed strong binding affinities with NADPH oxidase, supporting the antioxidant results. Conclusions:A. absinthium EO demonstrated potent antioxidant and enzyme inhibitory activities, suggesting its therapeutic potential for treating enzyme-related disorders like diabetes mellitus and its possible use as a cure for many oxidative-stress-related diseases, thus validating the folkloric use of this plant.
CYP2C19 Genetic Variants and Major Depressive Disorder: A Systematic Review
Authors: Bonasser Larissa Sousa Silva , Silva Calliandra Maria de Souza , Fratelli Caroline Ferreira , Gontijo Bruna Rodrigues , Seixas Juliana Moura Alves , Barreto Livia Cristina Lira de Sá , Silva Izabel Cristina Rodrigues da
Published: October 2024

Major depressive disorder (MDD) affects over 300 million people globally and has a multifactorial etiology. The CYP2C19 enzyme, involved in metabolizing certain antidepressants, can influence treatment response. Following the PRISMA protocol and PECOS strategy, this systematic review assessed the variation in common CYP2C19 gene variants’ frequencies across populations with MDD, evaluating their impact on clinical characteristics and treatment response. We comprehensively searched five databases, identifying 240 articles, of which only nine within the last decade met our inclusion criteria. Except for one study that achieved 74.28% of STROPS items, the rest met at least 75% of GRIPS and STROPS guidelines for quality and bias risk assessment. The CYP2C19’s *1 allele, the *1/*1 genotype, and the NM phenotype, considered as references, were generally more frequent. Other CYP2C19 polymorphism frequencies exhibit significant variability across different populations. Some studies associated variants with MDD development, a more extended history of depression, prolonged depressive episodes, and symptom severity, while others reported no such association. Some studies confirmed variants’ effects on escitalopram and citalopram metabolism but not that of other drugs, such as sertraline, venlafaxine, and bupropion. Treatment tolerability and symptom improvement also varied between studies. Despite some common findings, inconsistencies highlight the need for further research to clarify the role of these polymorphisms in MDD and optimize treatment strategies.
Abiraterone and Galeterone, Powerful Tools Against Prostate Cancer: Present and Perspective
Authors: Kuzminac Ivana Z. , Nikolić Andrea R. , Savić Marina P. , Ajduković Jovana J.
Published: October 2024

Due to the high prostate cancer incidence worldwide, the development of different methods of treatment continues to be a hot research topic. Since its first clinical application at the beginning of the 2010s, abiraterone in the form of prodrug abiraterone acetate continues to be the most used hormone derivative in the treatment of castration-resistant prostate cancer. This is the reason behind the publication of many scientific results regarding its synthesis, biological activity, metabolism, novel designed steroid derivatives based on its structure, etc. A similar steroid compound with a heterocycle in the C17 position, called galeterone, also designed to treat prostate cancer, continues to be in clinical studies, which provides further proof of the importance of these steroid derivatives. Besides prostate cancer treatment, abiraterone showed indications for possible clinical application in the treatment of breast, ovarian, lung, kidney, salivary gland, and adrenocortical cancer, congenital adrenal hyperplasia, Cushing’s syndrome, and COVID-19, while galeterone is investigated for its use against prostate, pancreatic, and breast cancer. Herein, we report a review comprising methods of synthesis, possible clinical applications, and mechanisms of action, as well as structures and bioactivities of derivatives of these two important steroids.
Application of Poly(lactic Acid) Composites in the Automotive Sector: A Critical Review
Authors: Giammaria Valentina , Capretti Monica , Del Bianco Giulia , Boria Simonetta , Santulli Carlo
Published: October 2024

The introduction of bio-based matrices in automotive applications would, in principle, increase their sustainability and, in case the use of secondary raw materials is also involved, even result in reduced resource depletion. The bio-based polymer composite matrix that has been mainly brought forward towards industrial application is poly(lactic acid) (PLA), which has often been proposed as the replacement for matrices based on polyolefins in fields such as packaging and short-term commodities since, in general, it matches the needs for conventional thermoplastic production processes. The passage to the automotive sector is not obvious, though: problems affecting durability, the relation with water and the environment, together with the requirement for outstanding mechanical and impact performance appear very stringent. On the other hand, PLA has obtained durable success in additive manufacturing as a competitor for acrylonitrile butadiene styrene (ABS). Also, the perspective for 3D and 4D printing does not appear to be confined to bare prototyping. These contrasting pieces of evidence indicate the necessity to provide more insight into the possible development of PLA use in the automotive industry, also considering the pressure for the combined use of more sustainable reinforcement types in automotive composites, such as natural fibers.
De- and Re-Structuring of Starch to Control the Melt and Solid State Visco-Elasticity as Method for Getting New Multi Component Compounds with Scalable Properties
Authors: Dimonie Doina , Grigorescu Ramona-Marina , Trică Bogdan , Raduly Monica , Damian Celina-Maria , Trusca Roxana , Mustatea Alina-Elena , Dima Stefan-Ovidiu , Oancea Florin
Published: October 2024

The aim of the article was to design and develop new thermodynamically stable starch-based compounds, with scalable properties, that are melt-processable into finished products by classic or 3D printing methods. This is based on phenomena of de-structuring, entanglement compatibilization, and re-structuring of starch, along with the modification of the polymer, polyvinyl alcohol (PVA), by following an experimental sequence involving pre-treatment and melt compounding in two stages. The new compounds selection was made considering the dependence of viscoelastic properties on formulation and flowing conditions in both the melted and solid states. Starting from starch with 125 °C glass transition and PVA with a Tg at 85 °C, and following the mentioned experimental sequence, new starch-PVA compounds with a high macromolecular miscibility and proven thermodynamic stability for at least 10 years, with glass transitions ranging from −10 °C to 50 °C, optimal processability through both classical melt procedures (extrusion, injection) and 3D printing, as well as good scalability properties, were achieved. The results are connected to the approaches considering the relationship between miscibility and the lifetime of compounds with renewable-based polymer content. By deepening the understanding of the thermodynamic stability features characterizing these compounds, it can be possible to open the way for starch usage in medium-life compositions, not only for short-life applications, as until now.
Biobased Compostable Plastics End-of-Life: Environmental Assessment Including Carbon Footprint and Microplastic Impacts
Authors: Keyes Anthony , Saffron Christopher M. , Manjure Shilpa , Narayan Ramani
Published: October 2024

In this paper, we examine how traditional life-cycle assessment (LCA) for bio-based and compostable plastics overlooks issues surrounding carbon sequestration and microplastic persistence. To outline biased comparisons drawn from these omitted environmental impacts, we provide, as an example, a comparative LCA for compostable biobased vs. non-compostable fossil-based materials. In doing so we (1) demonstrate the proper way to capture carbon footprints to make fair comparisons and (2) identify the overlooked issues of microplastics and the need for non-persistent alternatives. By ensuring accurate biogenic carbon capture, key contributors to CO2 evolution are properly identified, allowing well-informed changes to formulations that can reduce the environmental impact of greenhouse gas emissions. In a complimentary manner, we summarize the growing research surrounding microplastic persistence and toxicity. We highlight the fundamental ability and the growing number of studies that show that industrial composting can completely mineralize certified compostable materials. This mineralization exists as a viable solution to combat microplastic persistence, currently an absent impact category in LCA. In summary, we propose a new paradigm in which the value proposition of biobased materials can be accurately captured while highlighting compostables as a solution for the increasing microplastic accumulation in the environment.
Effects of BET Surface Area and Silica Hydrophobicity on Natural Rubber Latex Foam Using the Dunlop Process
Authors: Assadakorn Danvanichkul , Liu Gongxu , Hao Kuanfa , Bai Lichen , Liu Fumin , Xu Yuan , Guo Lei , Liu Haichao
Published: October 2024

To reinforce natural rubber latex foam, fumed silica and precipitated silica are introduced into latex foam prepared using the Dunlop process as fillers. Four types of silica, including Aerosil 200 (hydrophilic fumed silica), Reolosil DM30, Aerosil R972 (hydrophobic fumed silica), and Sipernat 22S (precipitated silica), are investigated. The latex foam with added silica presents better mechanical and physical properties compared with the non-silica foam. The hydrophobic nature of the fumed silica has better dispersion in natural rubber compared to hydrophilic silica. The specific surface area of silica particles (BET) also significantly influences the properties of the latex foam, with larger specific surface areas resulting in better dispersity in the rubber matrix. It was observed that exceeding 2 phr led to difficulties in the foaming process (bulking). Furthermore, higher loading of silica also affected the rubber foam, resulting in an increased shrinkage percentage, hardness, compression set, and crosslink density. The crosslink density increased from 11.0 ± 0.2 mol/cm3 for non-silica rubber to 11.6 ± 0.6 mol/cm3 for Reolosil DM30. Reolosil DM30 also had the highest hardness, with a hardness value of 52.0 ± 2.1 IRHD, compared to 45.0 ± 1.3 IRHD for non-silica foam rubber and 48 ± 2.4 IRHD for hydrophilic fumed silica Aerosil 200. Hydrophobic fumed silica also had the highest ability to return to its original shape, with a recovery percentage of 88.0% ± 3.5% compared to the other fumed silica. Overall, hydrophobic fumed silica had better results than hydrophilic silica in both fumed and precipitated silica.
Parameter-Independent Deformation Behaviour of Diagonally Reinforced Doubly Re-Entrant Honeycomb
Authors: Széles Levente , Horváth Richárd , Réger Mihály
Published: October 2024

In this study, a novel unit cell design is proposed, which eliminates the buckling tendency of the auxetic honeycomb. The novel unit cell design is a more balanced, diagonally reinforced doubly re-entrant auxetic honeycomb structure (x-reinforced auxetic honeycomb for short). We investigated and compared this novel unit cell design against a wide parameter range. Compression tests were carried out on specimens 3D-printed with a special, unique, flexible but tough resin mixture. The results showed that the additional, centrally pronounced reinforcements resulted in increased deformation stability; parameter-independent, non-buckling deformation behaviour is achieved; however, the novel structure is no longer auxetic. Mechanical properties, such as compression resistance and energy absorption capability, also increased significantly—An almost four times increase can be observed. In contrast to the deformation behaviour (which became predictable and constant), the mechanical properties can be precisely adjusted for the desired application. This novel structure was also investigated in a highly accurate, validated finite element environment, which showed that critical stress values are formed in well-supported regions, meaning that critical failure is unlikely. Our novel lattice unit cell design elevated the auxetic honeycomb to the realm of modern, high performance and widely applicable lattice structures.
High-Resolution SAR-to-Multispectral Image Translation Based on S2MS-GAN
Authors: Liu Yang , Han Qingcen , Yang Hong , Hu Huizhu
Published: October 2024

Synthetic aperture radar (SAR) has been extensively applied in remote sensing applications. Nevertheless, it is a challenge to process and interpret SAR images. The key to interpreting SAR images lies in transforming them into other forms of remote sensing images to extract valuable hidden remote sensing information. Currently, the conversion of SAR images to optical images produces low-quality results and incomplete spectral information. To address these problems, an end-to-end network model, S2MS-GAN, is proposed for converting SAR images into multispectral images. In this process, to tackle the issues of noise and image generation quality, a TV-BM3D module is introduced into the generator model. Through TV regularization, block-matching, and 3D filtering, these two modules can preserve the edges and reduce the speckle noise in SAR images. In addition, spectral attention is added to improve the spectral features of the generated MS images. Furthermore, we construct a very high-resolution SAR-to-MS image dataset, S2MS-HR, with a spatial resolution of 0.3 m, which is currently the most comprehensive dataset available for high-resolution SAR-to-MS image interpretation. Finally, a series of experiments are conducted on the relevant dataset. Both quantitative and qualitative evaluations demonstrate that our method outperforms several state-of-the-art models in translation performance. The solution effectively facilitates high-quality transitions of SAR images across different types.
Global Ionospheric Response During Extreme Geomagnetic Storm in May 2024
Authors: Bojilova Rumiana , Mukhtarov Plamen , Pancheva Dora
Published: October 2024

The main idea of the present study is to investigate in detail the time evolution of the spatial inhomogeneities connected with the ionospheric response to the geomagnetic storm registered in the period of 10–11 May 2024. The obtained ionospheric anomalies represented by the relative deviations of the global Total Electron Content (TEC) data have been utilized in the analysis. The used global TEC data have been converted to a coordinate system with a modip latitude and geographical longitude. In addition to the maps illustrating the global spatial distribution of the geomagnetically forced ionospheric anomalies, a presentation of the observed longitudinal structures by sinusoidal approximation has also been used. The resulting positive and negative responses have been studied depending on the magnetic latitude, local times and the behavior of the geomagnetic activity parameters during the considered event. The interpretation takes into account the known mechanisms for the effect of the geomagnetic storm on the electron density. A special attention is focused on the differences in the two hemispheres at high and mid latitudes, where a simultaneous direct impact of the particle precipitation and the change in the temperature regime of the neutral atmosphere has been assumed. The low-latitude response as a result of the Equatorial Ionization Anomaly (EIA) associated with Disturbed Dynamo Electric Fields (DDEFs) and its relationship with local time has also been considered.
Seismic Random Noise Attenuation Using DARE U-Net
Authors: Banjade Tara P. , Zhou Cong , Chen Hui , Li Hongxing , Deng Juzhi , Zhou Feng , Adhikari Rajan
Published: October 2024

Seismic data processing plays a pivotal role in extracting valuable subsurface information for various geophysical applications. However, seismic records often suffer from inherent random noise, which obscures meaningful geological features and reduces the reliability of interpretations. In recent years, deep learning methodologies have shown promising results in performing noise attenuation tasks on seismic data. In this research, we propose modifications to the standard U-Net structure by integrating dense and residual connections, which serve as the foundation of our approach named the dense and residual (DARE U-Net) network. Dense connections enhance the receptive field and ensure that information from different scales is considered during the denoising process. Our model implements local residual connections between layers within the encoder, which allows earlier layers to directly connect with deep layers. This promotes the flow of information, allowing the network to utilize filtered and unfiltered input. The combined network mechanisms preserve the spatial information loss during the contraction process so that the decoder can locate the features more accurately by retaining the high-resolution features, enabling precise location in seismic image denoising. We evaluate this adapted architecture by applying synthetic and real data sets and calculating the peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM). The effectiveness of this method is well noted.
The Evolution of Powell Basin (Antarctica)
Authors: Santamaría Barragán Alberto , Catalán Manuel , Martos Yasmina M.
Published: October 2024

Powell Basin is an ocean basin formed as a result of the Scotia Sea evolution. The existing tectonic models propose a variety of starting and ending ages for the spreading of the basin based on seafloor magnetic anomalies. Here, we use recent magnetic field data obtained from eight magnetic profiles in Powell Basin to provide insights into the oceanic spreading evolution. The differences found between the number of anomalies on both sides of the axis and the asymmetry in the spreading rates suggest different opening models for different parts of the basin. We propose a spreading model starting in the late Eocene (38.08 Ma) and ending in the early Miocene (21.8 Ma) for the northern part of Powell Basin. For the southern part, the opening started in the late Eocene (38.08 Ma) and ended in the middle Paleogene (25.2 Ma). The magnetic data have been combined with gravity and sediment thickness data to better constrain the age models. The gravity and sediment thickness information allow us to more accurately locate the position of the extinct spreading axis. Geothermal heat flow measurements are used to understand the relationship between the low amplitudes of the magnetic anomalies and the heat beneath them. Our proposed oceanic spreading models suggest that the initial incursions of the Pacific mantle outflow into the Powell Basin occurred in the Oligocene, and the initial incursions of oceanic currents from the Weddell Sea occurred in the Eocene.
Quantitative Analysis of Human Activities and Climatic Change in Grassland Ecosystems in the Qinghai–Tibet Plateau
Authors: Ren Chen , Han Liusheng , Xia Tanlong , Xu Qian , Zhang Dafu , Sun Guangwei , Feng Zhaohui
Published: October 2024

Net primary production (NPP) serves as a critical proxy for monitoring changes in the global capacity for vegetation carbon sequestration. The assessment of the factors (i.e., human activities and climate changes) influencing NPP is of great value for the study of terrestrial systems. To investigate the influence of factors on grassland NPP, the ecologically vulnerable Qinghai–Tibet Plateau region was considered an appropriate study area for the period from 2000 to 2020. We innovated the use of the RICI index to quantitatively represent human activities and analyzed the effects of RICI and climatic factors on grassland NPP using the geographical detector. In addition, the future NPP was predicted through the integration of two modeling approaches: The Patch-Generating Land Use Simulation (PLUS) model and the Carnegie–Ames–Stanford Approach (CASA) model. The assessment revealed that the expanded grassland contributed 7.55 × 104 Gg C (Gg = 109 g) to the total NPP, whereas the deterioration of grassland resulted in a decline of 1.06 × 105 Gg C. The climatic factor was identified as the dominant factor in grassland restoration, representing 70.85% of the total NPP, as well as the dominant factor in grassland degradation, representing 92.54% of the total NPP. By subdividing the climate change and human activity factors into sub-factors and detecting them with a geographical detector, the results show that climate change and anthropogenic factors have significant ability to explain geographic variation in NPP to a considerable extent, and the effect on NPP is greater when the factors interact. The q-values of the Relative Impact Contribution Index (RICI) and the RICI of the land use change NPP are consistently greater than 0.6, with the RICI of the human management practices NPP and the evapotranspiration remaining at approximately 0.5. The analysis of the interaction between climate and human activity factors reveals an average impact of greater than 0.8. By 2030, the NPP of the natural development scenario, economic development scenario (ED), and ecological protection scenario (EP) show a decreasing trend due to climate change, the dominant factor, causing them to decrease. Human activities play a role in the improvement. The EP indicates a positive expansion in the growth rate of forests, water, and wetlands, while the ED reveals rapid urbanization. It is notable that this is accompanied by a temporary suspension of urban greening.