bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization and Modification of Bacterial Cellulose Membrane from Coconut Juice Residues and Its Application in Carbon Dioxide Removal for Biogas Separation
Authors: Dechapanya Wipawee , Wongsuwan Kamontip , Lewis Jonathon Huw , Khamwichit Attaso
Published: September 2024

Driven by environmental and economic considerations, this study explores the viability of utilizing coconut juice residues (CJRs), a byproduct from coconut milk production, as a carbon source for bacterial cellulose (BC) synthesis in the form of a versatile bio-membrane. This work investigates the use of optimization modeling as a tool to find the optimal conditions for BC cultivation in consideration of waste minimization and resource sustainability. Optimization efforts focused on three parameters, including pH (4–6), cultivation temperature (20–30 °C), and time (6–10 days) using Design Expert (DE) V.13. The maximum yield of 9.31% (g/g) was achieved when the cultivation took place at the optimal conditions (pH 6, 30 °C, and 8 days). This approach aligns with circular economy principles, contributing to sustainable resource management and environmental impact reduction. The experimental and predicted optimal conditions from DE V.13 were in good agreement, validating the study’s outcomes. The predictive model gave the correlations of the optimal conditions in response to the highest yield and maximum eco-efficiency. The use of prediction modeling resulted in a useful tool for forecasting and obtaining guidelines that can assist other researchers in calculating optimal conditions for a desired yield. Acetylation of the BC resulted in cellulose acetate (CA) membranes. The CA membrane exhibited the potential to separate CO2 from a CH4/CO2 mixed gas with a CO2 selectivity of 1.315 in a membrane separation. The promising gas separation results could be further explored to be utilized in biogas purification applications.
Seismic Prediction Method of Shale Reservoir Brittleness Index Based on the BP Neural Network for Improving Shale Gas Extraction Efficiency
Authors: Zhang Xuejuan , She Haiyan , Zhang Lei , Li Ruolin , Feng Jiayang , Liu Ruhao , Wang Xinrui
Published: September 2024

The current seismic prediction methods of the shale brittleness index are all based on the pre-stack seismic inversion of elastic parameters, and the elastic parameters are transformed by Rickman and other simple linear mathematical relationship formulas. In order to address the low accuracy of the seismic prediction results for the brittleness index, this study proposes a method for predicting the brittleness index of shale reservoirs based on an error backpropagation neural network (BP neural network). The continuous static rock elastic parameters were calculated by fitting the triaxial test data with well logging data, and the static elastic parameters with good correlation with the brittleness index of shale minerals were selected as the sample data of the BP neural network model. A dataset of 1970 data points, characterized by Young’s modulus, Poisson’s ratio, shear modulus, and the mineral brittleness index, was constructed. A total of 367 sets of data points from well Z4 were randomly retained as model validation data, and 1603 sets of data points from the other three wells were divided into model training data and test data at a ratio of 7:3. The calculation accuracy of the model with different numbers of nodes was analyzed and the key parameters of the BP neural network structure such as the number of input layers, the number of output layers, the number of hidden layers, and the number of neurons were determined. The gradient descent method was used to determine the weight and bias of the model parameters with the smallest error, the BP neural network model was trained, and the stability of the brittleness index prediction model of the BP neural network was verified by posterior data. After obtaining Young’s modulus, Poisson’s ratio, and shear modulus through pre-stack seismic inversion, the BP neural network model established in this study was used to predict the brittleness index distribution of the target layer in the study area. Compared with the conventional Rickman method, the prediction coincidence rate is 69.16%, and the prediction coincidence rate between the prediction results and the real value is 95.79%, which is 26.63% higher. The BP neural network method proposed in this paper provides a reliable new method for seismic prediction of the shale reservoir brittleness index, which has important practical significance for clarifying the shale gas development scheme and improving shale gas exploitation efficiency.
Computational Optimization for CdS/CIGS/GaAs Layered Solar Cell Architecture
Authors: Bhatti Satyam , Manzoor Habib Ullah , Zoha Ahmed , Ghannam Rami
Published: September 2024

Multi-junction solar cells are vital in developing reliable, green, sustainable solar cells. Consequently, the computational optimization of solar cell architecture has the potential to profoundly expedite the process of discovering high-efficiency solar cells. Copper indium gallium selenide (CIGS)-based solar cells exhibit substantial performance compared to those utilizing cadmium sulfide (CdS). Likewise, CIGS-based devices are more efficient according to their device performance, environmentally benign nature, and thus, reduced cost. Therefore, the paper introduces an optimization process of three-layered n-CdS/p-CIGS/p-GaAs (NPP)) solar cell architecture based on thickness and carrier charge density. An in-depth investigation of the numerical analysis for homojunction PPN-junction with the ’GaAs’ layer structure along with n-ZnO front contact was simulated using the Solar Cells Capacitance Simulator (SCAPS-1D) software. Subsequently, various computational optimization techniques for evaluating the effect of the thickness and the carrier density on the performance of the PPN layer on solar cell architecture were examined. The electronic characteristics by adding the GaAs layer on the top of the conventional (PN) junction further led to optimized values of the power conversion efficiency (PCE), open-circuit voltage (VOC), fill factor (FF), and short-circuit current density (JSC) of the solar cell. Lastly, the paper concludes by highlighting the most promising results of our study, showcasing the impact of adding the GaAs layer. Hence, using the optimized values from the analysis, thickness of 5 (μm) and carrier density of 1×1020 (1/cm) resulted in the maximum PCE, VOC, FF, and JSC of 45.7%, 1.16 V, 89.52%, and 43.88 (mA/m2), respectively, for the proposed solar cell architecture. The outcomes of the study aim to pave the path for highly efficient, optimized, and robust multi-junction solar cells.
The Influence of Reduced Frequency on H-VAWT Aerodynamic Performance and Flow Field Near Blades
Authors: Yue Nianxi , Yang Congxin , Li Shoutu
Published: September 2024

Studies demonstrate that the reduced frequency k is influenced by the incoming wind speed U0 and the rotor speed n. As a dimensionless parameter, k characterizes the stability of the flow field, which is a critical factor affecting the performance of vertical-axis wind turbines (VAWTs). This paper investigates the impact of k on the performance of straight-blade vertical-axis wind turbines (H-VAWT). The findings indicate that 0.05 is the critical value of k. The same k results in a similar flow field structure, yet the performance changes vary with different U0. A decrease in n or an increase in U0 leads to an increase in the average value and fluctuation of k, which subsequently reduces the rotor rotation torque Cm and decreases the maximum wind energy utilization rate Cpmax. This reduction in Cpmax weakens the stability of the flow field. Additionally, the high-speed area of the blade’s trailing edge velocity trajectory at θ=0°, θ=120°, and θ=240° expands with increasing range. Velocity dissipation in the high-speed area of the trailing edge affects the stability of the flow field within the rotor.
A Review of the Energy-Saving Potential of Phase Change Material-Based Cascaded Refrigeration Systems in Chinese Food Cold Chain Industry
Authors: Meng Xinyu , He Yijian , He Lijuan , Zhao Chenlei , Wang Lifang , You Wenxi , Zhu Jingbo
Published: September 2024

As the global demand for food increases, the efficiency and environmental sustainability of refrigeration systems have become increasingly critical issues. Cascaded refrigeration systems (CRSs) are widely used in the Chinese food cold chain due to their capacity to meet a wide range of temperature requirements. However, energy consumption of these systems is always high. If phase change materials (PCMs) are combined with the refrigeration systems, the energy-saving effect is remarkable. The paper reviews the integration of PCMs within CRS, focusing on their potential to reduce energy consumption, thereby improving food safety and reducing reliance on conventional, electricity-intensive refrigeration methods. The study categorizes and explores the low-temperature applications of PCMs in CRS, providing novel insights into enhancing energy efficiency in food cold chain logistics. Despite most PCM research focusing on single-stage systems, this review innovates by introducing PCM integration in multistage cascade systems, which is particularly relevant for low-temperature requirements. The discussion encompasses the structure, working fluids, and applications of CRSs in the cold chain, emphasizing the role of PCMs in sustainable cold chain management. The review concludes by highlighting the need for further research on PCMs in CRS, especially regarding their economic viability and large-scale implementation potential.
Hydrogen-Powered Vehicles: A Paradigm Shift in Sustainable Transportation
Authors: Kurc Beata , Gross Xymena , Szymlet Natalia , Rymaniak Łukasz , Woźniak Krystian , Pigłowska Marita
Published: September 2024

The global shift towards sustainable energy solutions has prompted a reevaluation of traditional transportation methods. In this context, the replacement of electric cars with hydrogen-powered vehicles is emerging as a promising and transformative alternative. This publication explores the essence of this transition, highlighting the potential benefits and challenges associated with embracing hydrogen as a fuel source for automobiles. The purpose of this work is to provide a comprehensive comparison of electric vehicles (EVs) and hydrogen fuel cell vehicles (HFCVs), analyzing their respective advantages and disadvantages. Additionally, this work will outline the significant changes occurring within the automotive industry as it transitions towards sustainable mobility solutions.
Fault Diagnosis for Motor Bearings via an Intelligent Strategy Combined with Signal Reconstruction and Deep Learning
Authors: Li Weiguo , Fan Naiyuan , Peng Xiang , Zhang Changhong , Li Mingyang , Yang Xu , Ma Lijuan
Published: September 2024

To overcome the incomplete decomposition of vibration signals in traditional motor-bearing fault diagnosis algorithms and improve the ability to characterize fault characteristics and anti-interference, a diagnostic strategy combining dual signal reconstruction and deep learning architecture is proposed. In this study, an improved complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and variational mode decomposition (VMD)-based signal reconstruction method is first introduced to extract features representing motor bearing faults. A feature matrix construction method based on improved information entropy is then proposed to quantify these fault features. Finally, a fault diagnosis algorithm architecture integrating a multi-scale convolutional neural network (MSCNN) with attention mechanisms and a bidirectional long short-term memory network (BiLSTM) is developed. The experimental results for four fault states show that this model can effectively extract fault features from original vibration signals and, compared to other fault diagnosis models, offer high diagnostic accuracy and strong generalization, maintaining high accuracy even under varying speeds and noise interference.
Spatiotemporal Evolution and Impact Mechanisms of Areca Palm Plantations in China (1987–2022)
Authors: Wang Cai , Yin Zhaode , Luo Ruoyu , Qian Jun , Fu Chang , Wang Yuling , Xie Yu , Liu Zijia , Qiu Zixuan , Pei Huiqing
Published: September 2024

This study delved into the spatiotemporal evolution and impact mechanisms of areca palm (Areca catechu L.) plantations in China. Using Landsat and Google Earth imagery combined with machine learning, the geographical distribution of areca palm was mapped at a 30 m resolution from 1987 to 2022, achieving an overall classification accuracy of 0.67 in 2022. The plantation area rapidly expanded from 8064 hectares in 1987 to 193,328 hectares in 2022. Spatially, there was a pronounced trend of overall agglomeration in areca palm plantations, primarily displaying two distribution patterns: high-value aggregation and low-value aggregation. Moreover, the plantation area exhibited a significant positive correlation with both GDP (r = 0.98, p < 0.001) and total population (r = 0.92, p < 0.01), while negatively correlating with rural population (r = −0.76, p < 0.05). No significant correlation was observed with environmental factors. This study elucidated the patterns and trends concerning economic development across regions and the impact of monoculture on Hainan Island’s ecological environment. Comprehensive, large-scale, long-term mapping of areca palms will enhance our understanding of global agriculture’s sustainability challenges and inform policy development.
Analysis of Composition, Antioxidation, and Immunoregulation for Exopolysaccharide Produced by Dellaglioa algida
Authors: Sun Yao , Wei Tianhui , Ma Tongqing , Guan Jiaqi , Wang Zhiwei , Fan Zhiying , Song Jinzhu
Published: September 2024

Lactobacillus is a recognized probiotic and has been widely used in food and medicine. As a new type of low-temperature resistant Lactobacillus, the fermentation products of Dellaglioa algida have multiple physiological activities. This study focuses on the exopolysaccharide (EPS) produced by Dellaglioa algida. The composition of the EPS is analyzed by FTIR, UV, GPC, HPLC, NMR, and SEM, and its antioxidant and immune activities are explored. The experimental results show that the EPS is a polymer composed of nine monosaccharides such as rhamnose, glucose, and mannose, connected by α- and β-glycosidic bonds, with an average molecular weight of 2.163×104 Da. When the EPS concentration reaches 100 μg/mL, the scavenging activities of DPPH and ABTS+ are 60.0% and 51.2%, respectively. The EPS promotes the secretion of NO by regulating the iNOS/NO pathway, reduces oxidative damage, and reduces the secretion of inflammatory factors such as IL-6, IL-1β, and TNF-α, and downregulates the mRNA expression of inflammatory factors, thereby alleviating the cell inflammation stimulated by the cold-resistant bacteria Pseudomonas fluorescens and Pseudomonas fragi. By virtue of these properties, the EPS produced by Dellaglioa algida fermentation has the potential to act as an antioxidant and immunomodulator.
Metabolic Response in the Gill Tissue of Juvenile Black-Shelled Pearl Oyster (Pinctada fucata martensii) under Salinity Stress
Authors: Qin Chengru , Lu Fenglan , Li Junhui , Liao Yongshan , Yang Chuangye , Deng Yuewen
Published: September 2024

Salinity significantly affects shellfish metabolism and growth. In this study, we evaluated the characterization of metabolomic differences in the juvenile black-shelled pearl oyster, Pinctada fucata martensii, under 15‰ (LSG), 25‰ (CG), and 35‰ (HSG) salinity conditions. Non-targeted metabolomics analyses revealed that salinity stress altered the metabolism of pearl oyster. A total of 229 significant differential metabolites (SDMs) were identified between LSG and CG via an in-house MS2 database, 241 SDMs were identified between LSG and HSG, and 50 SDMs were identified between CG and HSG. The pathway analysis showed that 21 metabolic pathways were found between LSG and CG, such as arginine and proline metabolism, glycerophospholipid metabolism, and pentose and glucuronide interconversion. A total of 23 metabolic pathways were obtained between LSG and HSG, such as aspartate, alanine, and glutamate metabolism. Only aminoacyl-tRNA biosynthesis, cysteine and methionine metabolism, and biotin metabolism were enriched between CG and HSG. A further integrated analysis suggested that amino acid metabolism might participate in osmoregulation and energy metabolism to respond to salinity stress in P. f. martensii, and the metabolic pathways differed under varying salinity stress conditions. In addition, low salinity stress might promote apoptosis in pearl oysters. Altogether, these results clarify the salinity tolerance mechanism of pearl oysters.
Correction: Osorio et al. Parasitic Copepods as Biochemical Tracers of Foraging Patterns and Dietary Shifts in Whale Sharks (Rhincodon typus Smith, 1828). Fishes 2023, 8, 261
Authors: Osorio Brendon James , Skrzypek Grzegorz , Meekan Mark
Published: September 2024

The authors wish to inform readers of an error that was overlooked during the proof-reading of the original article [...]
When the Light Goes Out: Distribution and Sleeping Habitat Use of Parrotfishes at Night
Authors: Lucena Marcos , Mendes Thiago Costa , Cordeiro César Augusto Marcelino Mendes , Barbosa Moysés Cavichiloli , Batista Jora , Eggertsen Linda , Hackradt Carlos W. , Ferreira Carlos Eduardo Leite
Published: September 2024

Understanding the diurnal and nocturnal activity of organisms is a key topic in behavioral ecology, with implications for population structure and management strategies. In reef systems, parrotfishes play crucial roles as nominal herbivores, but overfishing has led to population collapses with detrimental effects on reef functions. Parrotfish are good models to study diel rhythms, as they are often easily observed while sleeping at night. We assessed the distribution, sleeping substrate selectivity and sleeping areas of parrotfishes during the night in a subtropical rocky reef of the Southwestern Atlantic. We performed replicated visual censuses (50 × 2 m) at different depths to estimate parrotfish abundance, while quantifying the structural complexity of sleeping sites. Among the seven recorded parrotfish species, we focused on the four most abundant to determine their sleeping habitat selectivity. Active telemetry was used for the two most abundant species to define their sleeping site areas and sleeping hotspots. All four species exhibited a preference for sediment as a sleeping substrate, while avoiding zoanthids. Species distribution was influenced by depth, with Scarus zelindae predominantly sleeping in high-complexity substrate at intermediate depths and Sparisoma tuiupiranga sleeping in the rock–sand interface at deeper depths. Tagged Sparisoma axillare and Sparisoma frondosum exhibited similar sleeping areas in terms of size and geographical locations; showing high site fidelity, they returned to the same sleeping sites over consecutive nights. These results represent the first assessment of parrotfish distribution and habitat use at night in the Atlantic. This information is crucial for guiding management actions, particularly in the planning of no-take zones for fishing control and population recovery.
In Vivo Tissue Distribution and Pharmacokinetics of FITC-Labelled Hizikia fusiforme Polyphenol–Polysaccharide Complex in Mice
Authors: Li Yutong , Li Shangkun , Li Di , Gao Yuan , Kong Shuhua , Liu Jingyi , Liu Shu , Ma Yichao , Zhou Hui , Ren Dandan , Wang Qiukuan , He Yunhai
Published: September 2024

In this study, a quantitative method based on fluorescein isothiocyanate (FITC)-labelled Hizikia fusiforme polyphenol–polysaccharide complex (HPC) and its purified fractions (PC1, PC4) was used, and its pharmacokinetics and tissue distribution were investigated in mice. The results showed that the FITC-labelled method had good linearity (R2 > 0.99), intra-day and inter-day precision (RSD, %) consistently lower than 15%, recovery (93.19–106.54%), and stability (RSD < 15%), which met the basic criteria for pharmacokinetic studies. The pharmacokinetic and tissue distribution results in mice after administration showed that all three sample groups could enter the blood circulation. and HPC-FITC had a longer half-life (T1/2: 26.92 ± 0.76 h) and mean retention time (MRT0–∞: 36.48 h) due to its larger molecular weight. The three groups of samples could be absorbed by the organism in a short time (0.5 h) mainly in the stomach and intestine; the samples could be detected in the urine after 2 h of administration indicating strong renal uptake, and faecal excretion reached its maximum at 12 h. The samples were also detected in the urine after 2 h of administration. This study provides some theoretical basis for the tissue distribution pattern of polyphenol–polysaccharide complex.
An Efficient Multi-Scale Wavelet Approach for Dehazing and Denoising Ultrasound Images Using Fractional-Order Filtering
Authors: Wang Li , Yang Zhenling , Pu Yi-Fei , Yin Hao , Ren Xuexia
Published: September 2024

Ultrasound imaging is widely used in medical diagnostics due to its non-invasive and real-time capabilities. However, existing methods often overlook the benefits of fractional-order filters for denoising and dehazing. Thus, this work introduces an efficient multi-scale wavelet method for dehazing and denoising ultrasound images using a fractional-order filter, which integrates a guided filter, directional filter, fractional-order filter, and haze removal to the different resolution images generated by a multi-scale wavelet. In the directional filter stage, an eigen-analysis of each pixel is conducted to extract structural features, which are then classified into edges for targeted filtering. The guided filter subsequently reduces speckle noise in homogeneous anatomical regions. The fractional-order filter allows the algorithm to effectively denoise while improving edge definition, irrespective of the edge size. Haze removal can effectively eliminate the haze caused by attenuation. Our method achieved significant improvements, with PSNR reaching 31.25 and SSIM 0.905 on our ultrasound dataset, outperforming other methods. Additionally, on external datasets like McMaster and Kodak24, it achieved the highest PSNR (29.68, 28.62) and SSIM (0.858, 0.803). Clinical evaluations by four radiologists confirmed its superiority in liver and carotid artery images. Overall, our approach outperforms existing speckle reduction and structural preservation techniques, making it highly suitable for clinical ultrasound imaging.
Development of Glycerosomal pH Triggered In Situ Gelling System to Ameliorate the Nasal Delivery of Sulpiride for Pediatric Psychosis
Authors: Shahien Mona M. , Alshammari Alia , Ibrahim Somaia , Ahmed Enas Haridy , Atia Hanan Abdelmawgoud , Elariny Hemat A. , Abdallah Marwa H.
Published: September 2024

Sulpiride (Sul) is a medication that blocks dopamine D2 receptors. It is used to treat gastrointestinal disturbances and has antipsychotic effects depending on the dose given. Sulpiride is subject to P-glycoprotein efflux, resulting in limited bioavailability and erratic absorption. Hence, the aim of this study was to generate a glycerosomal in situ gel of sulpiride for intranasal administration, specifically targeting children with schizophrenia who may have difficulty swallowing traditional solid medications, for enhancing its bioavailability. This study aimed to demonstrate the efficacy of intranasal administration of glycerin-encapsulated lipid-nanovesicles (glycerosomes) mixed with in situ gels for prolonged release of anti-psychotic medication. A Box–Behnken design was utilized to create sulpiride-loaded glycerosomes (Sul-GMs), with the lipid amount (A), glycerin concentration (B), and sonication time (C) acting as independent variables. Their impact on the entrapment efficiency, EE% (Y1), and in vitro drug release (Y2) were evaluated. The sulpiride EE% showed an increase when the glycerin concentration was raised to 25% v/v. Nevertheless, when the glycerin concentration was raised to 40% v/v, there was a notable decrease in the EE%. The optimized glycerosome was added to pH triggered carbopol 974P in situ gel formulations including HPMC K15M with different concentrations. The in situ gel formulation (G3) comprising 0.6% carbopol 974P and 0.6% hydroxypropyl methyl cellulose-K15M (HPMC K15M) demonstrated suitable pH, viscosity, desired gel strength, spreadability, and mucoadhesive strength. Consequently, it was selected for in vitro study, ex vivo permeation investigation, and in vivo evaluations. The glycerosomal in situ gel exhibited favorable ex vivo permeability of SU when applied to the nasal mucosa. The pharmacokinetic investigation revealed that the optimized Sul-loaded glycerosomal in situ gel exhibited a significant fourfold and twofold enhancement in systemic bioavailability compared to both the control gel and the commercially available formulation. Finally, the intranasal administration of Sul-loaded glycerosomal in situ gel is a promising alternative to oral treatment for pediatric patients with psychosis.
Whole-Genome Bisulfite Sequencing (WGBS) Analysis of Gossypium hirsutum under High-Temperature Stress Conditions
Authors: Gong Zhaolong , Zheng Juyun , Yang Ni , Li Xueyuan , Qian Shuaishuai , Sun Fenglei , Geng Shiwei , Liang Yajun , Wang Junduo
Published: September 2024

Background: DNA methylation is an important part of epigenetic regulation and plays an important role in the response of plants to adverse stress. Methods: In this study, whole-genome bisulfite sequencing (WGBS) was performed on the high-temperature-resistant material Xinluzao 36 and the high-temperature-sensitive material Che 61–72 at 0 h and 12 h under high-temperature stress conditions. Results: The results revealed that the Gossypium hirsutum methylation levels of CG and CHG (H = A, C, or T) decreased after the high-temperature stress treatment, and the methylation level of the A subgenome was significantly greater than that of the D subgenome. The methylation level of CHH increased, and the methylation level of CHH in the D subgenome was significantly greater than that in the A subgenome after high-temperature stress treatment. The methylation density of CG is lower than that of CHG and CHH, and the methylation density of the middle region of chromosomes is greater than that of both ends, which is opposite to the distribution density of genes. There were 124 common differentially methylated genes in the CG, CHG, and CHH groups, and 5130 common DEGs and differentially methylated genes were found via joint analysis with RNA-seq; these genes were significantly enriched in the biosynthesis of plant hormones, thiamine metabolism, glutathione metabolism, and tyrosine metabolism pathways. DNA methylation did not affect the expression of many genes (accounting for 85.68% of the differentially methylated genes), DNA methylation-promoted gene expression was located mainly in the downstream region of the gene or gene body, and the expression of inhibitory genes was located mainly in the upstream region of the gene. Conclusions: This study provides a theoretical basis for further exploration of the gene expression and functional regulatory mechanism of G. hirsutum DNA methylation under high-temperature stress conditions.
The Impact of Smoking on Arterial Stiffness in Young Adults: A Prospective Analysis
Authors: Guberna Suzana Maria , Jercălău Cosmina Elena , Catană Andreea , Drăgan Eleonora , Avram Anamaria-Georgiana , Cuciureanu Irina , Manea Maria Mirabela , Andrei Cătălina Liliana
Published: September 2024

Background: Arterial stiffness is a crucial factor in the pathogenesis of cardiovascular disease, often associated with aging. However, the impact of smoking on arterial stiffness is frequently underestimated. This study aims to investigate the intricate relationship between smoking and arterial stiffness to advance our understanding of and therapeutic approaches to cardiovascular health. Methods: A prospective analysis was conducted from January to July 2024, focusing on arterial stiffness parameters in a cohort of students from the Carol Davila University of Medicine and Pharmacy. Participants were categorized as smokers or non-smokers based on self-reported smoking status. The study endpoints included correlations between high pulse wave velocity, elevated peripheral and central systolic blood pressure, increased peripheral and central pulse pressure, and smoking status. These markers were assessed using an arteriograph device measuring the time difference between the initial forward pulse wave and the reflected pulse wave in the brachial artery to indirectly estimate the PWV using oscillometric pulsations. Results: Our investigation, involving 102 young individuals aged 20 to 26 (69 females, 33 males), revealed that smokers exhibited significantly higher average values of arterial stiffness indicators compared to non-smokers. Current smokers had higher mean systolic blood pressure (130.65 vs. 123.05 mmHg), higher mean peripheral pulse pressure (53.19 vs. 45.64 mmHg), higher mean central pulse pressure (33.66 vs. 29.69 mmHg), and higher mean pulse wave velocity (5.27 vs. 5.03 m/s). Conclusions: The utilization of arterial stiffness markers as predictive tools offers opportunities for personalized treatment strategies, potentially enhancing cardiovascular health outcomes.
Genome-Wide Identification, Characterization, and Expression Pattern Analysis of the JAZ Gene Family in Wax Apple (Syzygium samarangense)
Authors: Li Liang , Huang Weijie , Tang Limei , Xu Ling , Tang Yajun , Wei Xiuqing , Xu Jiahui
Published: September 2024

Wax apple (Syzygium samarangense) is a characteristic tropical fruit with great potential value, but the cold sensitivity and male sterility limit its cultivation and breeding. Despite the important role in JA-mediated cold-stress resistance and flower development, jasmonate ZIM-domain (JAZ) proteins have not been identified in wax apple. This study employed sequence blast, phylogenetic analysis, and RT-PCR to identify SsJAZs in wax apple systematically. First, 14 SsJAZs family members with TIFY and Jas domains were identified and named according to the distribution on ten chromosomes. Low-temperature responsiveness elements and TGACG-motif (response to MeJA) were abundant in the promoters of most SsJAZs. The transcription factors ERF and MYB were predicted to be involved in the regulation of SsJAZs. RT-PCR analyses showed that SsJAZs were mainly expressed in mature leaves and flowers. Further analysis revealed differences in the expression patterns of SsJAZs under cold treatment, as well as in different anther stages. SsJAZ proteins were predicted to interact with the N terminus of SsMYC2 protein via the Jas motif at the C-terminal domain. This study characterized the SsJAZs family members and examined the expression patterns in different samples. The results will advance our understanding of the role of SsJAZs in wax apple.
Report on the Influence of Homeopathic/Nosode Foliar Applications on Phaseolus vulgaris (L.): Agronomic and Phytochemical Changes and Control of Zabrotes subfasciatus (Boh.) and Diabrotica balteata (LeConte)
Authors: Quiroz-González Beatriz , Martínez-Tomás Sabino Honorio , Lagunez-Rivera Luicita , Granados-Echegoyen Carlos , Pérez-Pacheco Rafael , Dionicio-y de Jesús Israel , Zárate-Nicolás Baldomero Hortencio
Published: September 2024

Nosodes are solutions prepared from pests, capable of controlling those same pests in crops. The use of these solutions in agriculture is an emerging technology for producing eco-friendly and inexpensive plant-based foods free from toxic compounds. The effects of applying nosodes to bean (Phaseolus vulgaris L.) crops before and after harvest were evaluated. The experiment was conducted in the field, with nosode 200CH applied once, three times, biweekly, and weekly from the flowering stage of the “Delgado” bean plant. The application of nosodes resulted in a 108% higher yield, 26% greater biomass, a 32% increase in root length, 34% more pods, and up to a 227% decrease in damaged pods compared to untreated plants. Furthermore, compared to the untreated plants, treated plants exhibited a 37% higher membrane stability and a phenolic content that was up to 27% higher in seeds and 22% higher in leaves. Plants under conventional management showed 61% less Diabrotica balteata (LeConte) incidence than nosode-treated ones. Seeds treated with nosodes exhibited a mortality in Zabrotes subfasciatus (Boh.) of up to 80%. This study highlights the use of nosodes in bean cultivation as an agronomic strategy to enhance seed production and quality, aiding producers in informed decision making about their application.
Bioinformatics Identification and Expression Analysis of Acetyl-CoA Carboxylase Reveal Its Role in Isoflavone Accumulation during Soybean Seed Development
Authors: Wu Xu , Yang Zhenhong , Zhu Yina , Zhan Yuhang , Li Yongguang , Teng Weili , Han Yingpeng , Zhao Xue
Published: September 2024

Isoflavones belong to the class of flavonoid compounds, which are important secondary metabolites that play a crucial role in plant development and defense. Acetyl-CoA carboxylase (ACCase) is a biotin-dependent enzyme that catalyzes the conversion of Acetyl-CoA into Malonyl-CoA in plants. It is a key enzyme in fatty acid synthesis and also catalyzes the production of various secondary metabolites. However, information on the ACC gene family in the soybean (Glycine max L. Merr.) genome and the specific members involved in isoflavone biosynthesis is still lacking. In this study, we identified 20 ACC family genes (GmACCs) from the soybean genome and further characterized their evolutionary relationships and expression patterns. Phylogenetic analysis showed that the GmACCs could be divided into five groups, and the gene structures within the same groups were highly conserved, indicating that they had similar functions. The GmACCs were randomly distributed across 12 chromosomes, and collinearity analysis suggested that many GmACCs originated from tandem and segmental duplications, with these genes being under purifying selection. In addition, gene expression pattern analysis indicated that there was functional divergence among GmACCs in different tissues. The GmACCs reached their peak expression levels during the early or middle stages of seed development. Based on the transcriptome and isoflavone content data, a weighted gene co-expression network was constructed, and three candidate genes (Glyma.06G105900, Glyma.13G363500, and Glyma.13G057400) that may positively regulate isoflavone content were identified. These results provide valuable information for the further functional characterization and application of GmACCs in isoflavone biosynthesis in soybean.
Exosomal miRNAs Differentiate Chronic Total Occlusion from Acute Myocardial Infarction
Authors: Son Ji-Hye , Park Jeong Kyu , Bang Ji-Hong , Kim Dongeon , Moon Inki , Kong Min Gyu , Park Hyun-Woo , Choi Hyung-Oh , Seo Hye-Sun , Cho Yoon Haeng , Chang Hun Soo , Suh Jon
Published: September 2024

Although coronary artery occlusion can have a negative effect on the myocardium, chronic total occlusion (CTO) exhibits different clinical features from those of acute myocardial infarction (AMI). In this study, we identify the differential associations of exosomal miRNAs with CTO and AMI. Exosomes were isolated from the plasma obtained from coronary arteries of patients undergoing percutaneous coronary intervention to treat CTO (n = 29) and AMI (n = 24), followed by small RNA sequencing, target gene predictions, and functional enrichment analyses. Promising miRNA markers were validated using real-time PCR in 35 CTO, 35 AMI, and 10 normal subjects. A total of 205 miRNAs were detected in all subjects, and 20 and 12 miRNAs were upregulated and downregulated in CTO compared to AMI patients, respectively (|fold change| > 4, FDR q < 0.05). The target genes of miRNAs that were higher in CTO patients were associated with “regulation of cell cycle phase transition”, “cell growth”, and “apoptosis”. The target genes of miRNAs that were lower in CTO patients were enriched in terms such as “muscle cell differentiation”, “response to oxygen levels”, and “artery morphogenesis”. On qRT-PCR analysis, the expression levels of miR-9-5p and miR-127-3p were significantly different between CTO and AMI patients. The miRNA expression levels accurately distinguished CTO from AMI patients with 79% specificity and 97% sensitivity. The miRNA contents of plasma exosomes were significantly different between CTO and AMI patients. The miRNAs may play important roles in CTO and AMI.
Rapid Diagnostic PCR Assay Method for Species Identification of Mantidis Ootheca (Sangpiaoxiao) Based on Cytochrom C Oxidase I (COI) Barcode Analysis
Authors: Noh Sumin , Kim Wook Jin , Cha Ji-Min , Choi Goya , Yang Sungyu , Song Jun-Ho , Moon Byeong Cheol
Published: September 2024

Mantidis Ootheca (sangpiaoxiao), the egg case of the mantis, is a type of insect-derived traditional medicine widely used in East Asia. However, species identification based on egg morphology is challenging, leading to the distribution of counterfeit and adulterated products. The use of inauthentic ingredients can pose serious health risks to consumers. This study aimed to develop PCR markers that can rapidly and accurately differentiate between authentic and counterfeit Mantidis Ootheca. The mitochondrial cytochrome c oxidase I (COI) region was sequenced in thirteen samples from four mantis species: Tenodera angustipennis, Statilia maculata, Hierodula patellifera, and T. sinensis. Four sets of SCAR primers were designed based on species-specific nucleotide polymorphisms, and a multiplex SCAR assay was developed by combining all sets of the primers. The sequence-characterized amplified region (SCAR) primers successfully produced amplicons for each target species, even with low-DNA templates or templates containing DNA from multiple samples. No amplification was observed for nontarget species. This study presents a novel approach for identifying authentic Mantidis Ootheca species using DNA-based diagnostic marker assays, which enable rapid and precise species identification. The SCAR assays developed in this study will aid in maintaining quality control and promoting the standardization of commercial Mantidis Ootheca products.
A Machine Learning Algorithm Suggests Repurposing Opportunities for Targeting Selected GPCRs
Authors: El-Atawneh Shayma , Goldblum Amiram
Published: September 2024

Repurposing utilizes existing drugs with known safety profiles and discovers new uses by combining experimental and computational approaches. The integration of computational methods has greatly advanced drug repurposing, offering a rational approach and reducing the risk of failure in these efforts. Recognizing the potential for drug repurposing, we employed our Iterative Stochastic Elimination (ISE) algorithm to screen known drugs from the DrugBank database. Repurposing in our hands is based on computer models of the actions of ligands: the ISE algorithm is a machine learning tool that creates ligand-based models by distinguishing between the physicochemical properties of known drugs and those of decoys. The models are large sets of “filters” made out, each, of molecular properties. We screen and score external sets of molecules (in our case- the DrugBank molecules) by our agonism and antagonism models based on published data (i.e., IC50, Ki, or EC50) and pick the top-scoring molecules as candidates for experiments. Such agonist and antagonist models for six G-protein coupled receptors (GPCRs) families facilitated the identification of repurposing opportunities. Our screening revealed 5982 new potential molecular actions (agonists, antagonists), which suggest repurposing candidates for the cannabinoid 2 (CB2), histamine (H1, H3, and H4), and dopamine 3 (D3) receptors, which may be useful to treat conditions such as neuroinflammation, obesity, allergic dermatitis, and drug abuse. These sets of best candidates should now be examined by experimentalists: based on previous such experiments, there is a very high chance of discovering novel highly bioactive molecules.
Significance of Immune and Non-Immune Cell Stroma as a Microenvironment of Hepatocellular Carcinoma—From Inflammation to Hepatocellular Carcinoma Progression
Authors: Baj Jacek , Kołodziej Magdalena , Kobak Joanna , Januszewski Jacek , Syty Kinga , Portincasa Piero , Forma Alicja
Published: September 2024

Hepatocellular carcinoma (HCC) is the most common liver cancer as well as the most prevalent cause of death in the adult patient population with cirrhosis. The occurrence of HCC is primarily caused by chronic liver inflammation that might occur because of a viral infection, non-alcoholic fatty liver disease (NAFLD), or various lifestyle-associated factors. The objective of this review was to summarize the current knowledge regarding the microenvironment of HCC, indicating how immune- and non-immune-cell stroma might affect the onset and progression of HCC. Therefore, in the following narrative review, we described the role of tumor-infiltrating neutrophils, bone-marrow-derived cells, tumor-associated mast cells, cancer-associated fibroblasts, tumor-associated macrophages, liver-sinusoidal endothelial cells, lymphocytes, and certain cytokines in liver inflammation and the further progression to HCC. A better understanding of the HCC microenvironment might be crucial to introducing novel treatment strategies or combined therapies that could lead to more effective clinical outcomes.
Pinpointing Novel Plasma and Brain Proteins for Common Ocular Diseases: A Comprehensive Cross-Omics Integration Analysis
Authors: Mo Qinyou , Liu Xinyu , Gong Weiming , Wang Yunzhuang , Yuan Zhongshang , Sun Xiubin , Wang Shukang
Published: September 2024

The pathogenesis of ocular diseases (ODs) remains unclear, although genome-wide association studies (GWAS) have identified numerous associated genetic risk loci. We integrated protein quantitative trait loci (pQTL) datasets and five large-scale GWAS summary statistics of ODs under a cutting-edge systematic analytic framework. Proteome-wide association studies (PWAS) identified plasma and brain proteins associated with ODs, and 11 plasma proteins were identified by Mendelian randomization (MR) and colocalization (COLOC) analyses as being potentially causally associated with ODs. Five of these proteins (protein-coding genes ECI1, LCT, and NPTXR for glaucoma, WARS1 for age-related macular degeneration (AMD), and SIGLEC14 for diabetic retinopathy (DR)) are newly reported. Twenty brain-protein–OD pairs were identified by COLOC analysis. Eight pairs (protein-coding genes TOM1L2, MXRA7, RHPN2, and HINT1 for senile cataract, WARS1 and TDRD7 for AMD, STAT6 for myopia, and TPPP3 for DR) are newly reported in this study. Phenotype-disease mapping analysis revealed 10 genes related to the eye/vision phenotype or ODs. Combined with a drug exploration analysis, we found that the drugs related to C3 and TXN have been used for the treatment of ODs, and another eight genes (GSTM3 for senile cataract, IGFBP7 and CFHR1 for AMD, PTPMT1 for glaucoma, EFEMP1 and ACP1 for myopia, SIRPG and CTSH for DR) are promising targets for pharmacological interventions. Our study highlights the role played by proteins in ODs, in which brain proteins were taken into account due to the deepening of eye–brain connection studies. The potential pathogenic proteins finally identified provide a more reliable reference range for subsequent medical studies.
The Effects of Brodalumab on the Fungal Microbiome in Patients with Psoriasis
Authors: Vižlin Admir , Bajramović Ajša , Björkman Ylva Andersch , Kumar Yadhu , Göthe Maria , Gillstedt Martin , Osmančević Amra
Published: September 2024

The gut microbiota plays a critical role in immune system function, with dysbiosis linked to systemic inflammation, contributing to conditions like psoriasis and depression. Although biological treatments for severe psoriasis are known to impact gut bacteria, less is understood about their effects on fungi. This study aims to investigate fungal gut microbiota changes in psoriasis patients transitioning from TNF-α inhibitors to brodalumab. Fecal samples from 20 patients were analyzed using Illumina MiSeq sequencing of the ITS2 region of 18S rRNA. Microbial diversity was assessed through Bray–Curtis dissimilarity and the Shannon–Wiener index. Clinical outcomes were measured using clinical scores for psoriasis and depression severity, with statistical analysis performed via Wilcoxon signed-rank tests and PERMANOVA. Results showed that Ascomycota was the dominant fungal phylum in both treatment groups, with Saccharomyces, Penicillium, Candida, and Debaryomyces as prevalent genera. No significant changes occurred at the phylum level after switching to brodalumab, though minor genome-level variations were observed. Beta diversity analysis highlighted inter-patient variability, with no significant correlation between fungal composition and clinical outcomes. Despite improved clinical scores, the fungal gut microbiota remained largely stable, suggesting that brodalumab does not significantly alter fungal communities in psoriasis patients. Further research is needed for a comprehensive understanding.
Evidence for a Pro-Inflammatory State of Macrophages from Non-Obese Type-2 Diabetic Goto-Kakizaki Rats
Authors: Silveira Amanda Santos de Almeida , Alves Amara Cassandra dos Anjos , Gimenes Gabriela Mandú , Quessada Patrícia da Silva , Lobato Tiago Bertola , Dias Beatriz Belmiro , Pereira Ana Carolina Gomes , Iser-Bem Patrícia Nancy , Pereira Joice Naiara Bertaglia , Hatanaka Elaine , Masi Laureane Nunes , Pithon-Curi Tânia Cristina , Mattaraia Vânia Gomes de Moura , Hirabara Sandro Massao , Crisma Amanda Rabello , Gorjão Renata , Curi Rui
Published: September 2024

Obesity causes insulin resistance (IR) through systemic low-grade inflammation and can lead to type 2 diabetes mellitus (T2DM). However, the mechanisms that cause IR and T2DM in non-obese individuals are unclear. The Goto-Kakizaki (GK) rat develops IR spontaneously and is a model of non-obese T2DM. These rats exhibit hyperglycemia beginning at weaning and exhibit lower body mass than control Wistar rats. Herein, we tested the hypothesis that macrophages of GK rats are permanently in a pro-inflammatory state, which may be associated with a systemic inflammation condition that mimics the pathogenesis of obesity-induced T2DM. Using eighteen-week-old GK and control Wistar rats, we investigated the proportions of M1 (pro-inflammatory) and M2 (anti-inflammatory) macrophages isolated from the peritoneal cavity. Additionally, the production of inflammatory cytokines and reactive oxygen species (ROS) in cultured macrophages under basal and stimulated conditions was assessed. It was found that phorbol myristate acetate (PMA) stimulation increased GK rat macrophage ROS production 90-fold compared to basal levels. This response was also three times more pronounced than in control cells (36-fold). The production of pro-inflammatory cytokines, such as tumor necrosis factor-alpha (TNF-α), tended to be upregulated in cultured macrophages from GK rats under basal conditions. Macrophages from GK rats produced 1.6 times more granulocyte-macrophage colony-stimulating factor (GM-CSF), 1.5 times more monocyte chemoattractant protein-1 (MCP-1) and 3.3 times more TNF-α than control cells when stimulated with lipopolysaccharide (LPS) (p = 0.0033; p = 0.049; p = 0.002, respectively). Moreover, compared to control cells, GK rats had 60% more M1 (p = 0.0008) and 23% less M2 (p = 0.038) macrophages. This study is the first to report macrophage inflammatory reprogramming towards a pro-inflammatory state in GK rats.
Correction: Yang et al. Genome-Wide Identification and Expression Analysis of the Class III Peroxidase Gene Family under Abiotic Stresses in Litchi (Litchi chinensis Sonn.). Int. J. Mol. Sci. 2024, 25, 5804
Authors: Yang Jie , Chen Rong , Xiang Xu , Liu Wei , Fan Chao
Published: September 2024

In the original publication [...]