bluuebunny/crossref_metadata_2025 huggingface dataset:
Spatiotemporal Correlation Analysis of Landscape Pattern and Habitat Quality in and Around China’s Tropical Rainforest National Park
Authors: Zhang Qing , Zhu Ling , Fu Hui
Published: November 2024

With the establishment of the national park system in China, balancing ecological conservation within national parks and development in surrounding areas has become a critical issue. Despite its importance, studies on the scale effects of landscape fragmentation and its relationship with habitat quality (HQ) in these regions remain scarce. Therefore, this study focuses on the Hainan Tropical Rainforest National Park (HTRNP) in China and the surrounding nine cities and counties. The optimal scale for analyzing the spatiotemporal characteristics of landscape patterns, we assessed the best grain size and extent of landscape pattern indices using the regional information loss assessment model, area loss index, and semivariance function analysis. Based on this, the Fragstats and InVEST models analyzed the spatiotemporal evolution of landscape patterns and HQ from 1980 to 2020. Additionally, bivariate spatial autocorrelation theory was applied to examine the spatial correlation between the two. The results show that (1) the landscape indices in the study area vary with grain size and extent. The optimal grain size is 300 m, and the optimal extent is 2 km × 2 km. (2) Over the past 40 years, the landscape pattern of HTRNP has remained stable. In contrast, the surrounding areas exhibit notable spatial differentiation, with landscapes in coastal town centers becoming increasingly fragmented. (3) Over the past 40 years, the overall HQ in the study area has been relatively high, showing a spatial distribution pattern that decreases gradually from the center of HTRNP outward to rural areas, towns, and coastal regions. HTRNP has maintained a high and stable HQ, while the surrounding areas exhibited a decreasing trend in HQ, although the decline was relatively modest. (4) The spatial distribution of HQ aligns closely with landscape patterns, indicating a significant spatial correlation. The landscape connectivity of HTRNP remains high, with consistently superior HQ. In contrast, coastal town centers are characterized by highly fragmented landscapes and poor HQ. This study reveals the spatiotemporal dynamics of landscape patterns and HQ, along with their spatial associations. These findings provide a scientific basis for ecological conservation in national parks and the planning optimization of surrounding areas.
The Phyllosphere Microbial Community Structure of Three Camellia Species upon Anthracnose
Authors: Peng Xiaojie , Wang Haonan , Zhou Xudong
Published: November 2024

Anthracnose of Camellia plants is caused by the Colletotrichum species. The fungal pathogens mainly infect the leaves of plants and lead to serious economic losses. However, knowledge of Camellia phyllosphere microbial community after Colletotrichum infection has not been explored which limited our understanding of the relationship between the Camellia anthracnose outbreak and interacting microorganisms. In this study, three economically and ecologically important Camellia species with anthracnose symptoms were collected and subjected to bacterial and fungal composition analysis, diversity, co-occurrence characteristics, isolation of key strains, and tie-back pathogenicity test. The results indicated that Sphingomonas and Methylobacterium were the dominant bacterial genera over the three Camellia species and Pallidocercospora, Colletotrichum, and Pichia were the dominant fungal genera. The co-occurrence analysis showed that Methylobacterium, Sphingomonas, Massilia, and Allorhizobium were the key bacterial taxa and Colletotrichum, Pallidocercospora, Pichia, Septophoma, and Septoria were the key fungal taxa over the three infected plants. The hub taxa, including the species significantly associated with the Colletotrichum abundance, were mostly beneficial bacteria over the three Camellia species. Further co-culture and tie-back pathogenicity tests verified that the hub taxa associated with pathogenic Colletotrichum in the microbial networks may play promoting/inhibiting roles on Colletotrichum infection. The results highlight the importance of phytopathological conditions for the interactions between microbial members of foliar fungal and bacterial communities.
Identification of the P24 Gene Family Related to Vesicular Transport in Cyclocarya paliurus and Their Expression Analysis Under Salt Stress
Authors: Pan Yuxin , Fei Chunpeng , Liu Xin , He Fayin , Zhu Jiana , Yu Hui , Zhao Fusheng , Yang Zhengting
Published: November 2024

Vesicle transport is a fundamental mechanism for intracellular substance transfer and signal transduction, involving the formation, transport, fusion with target membranes, and release of vesicle contents within cells. Issues such as disruption of water balance, difficulty in regulating osmotic pressure, and oxidative stress caused by salt stress can lead to disturbances in the secretion system of plants, thus affecting plant growth and development. Cyclocarya paliurus (C. paliurus), widely used in traditional Chinese medicine, has not been previously reported in terms of how the vesicle transport P24 gene regulates its adaptation to salt stress. In this research project, a total of eight CpP24 genes were successfully identified. Upon examination of gene architecture and conserved sequence elements, the CpP24 genes exhibited a variation in exon count, ranging from 4 to 6. Moreover, the CpP24 gene family’s reaction to salt stress and specific stressors including methyl jasmonate (MeJA), sodium hydrosulfide (NaHS), and sodium nitroprusside (SNP) was further explored in our study. Comprehensive analysis of the expression patterns of CpP24 genes under various conditions showed that salt stress induced the expression of these genes, and the combined treatment of salt stress with specific stresses caused changes in their expression. This study lays a theoretical foundation for further probing into the physiological functions of C. paliurus and the underlying mechanisms regarding its response to environmental stress.
Efficacy of Probiotics in Reducing Pathogenic Potential of Infectious Agents
Authors: Vinayamohan Poonam , Joseph Divya , Viju Leya Susan , Baskaran Sangeetha Ananda , Venkitanarayanan Kumar
Published: November 2024

Probiotics exhibit significant antivirulence properties that are instrumental in mitigating infectious agents not only within the gastrointestinal tract but also in other parts of the body, including respiratory and urogenital systems. These live microorganisms, beneficial to health when administered in appropriate quantities, operate through several key mechanisms to reduce the pathogenic potential of bacteria, viruses, and fungi. Probiotics effectively reduce colonization and infection severity by enhancing the host’s immune response and directly antagonizing pathogens. One of the major modes of action includes the disruption of quorum sensing pathways, which are essential for bacterial communication and the regulation of virulence factors. Additionally, probiotics compete with pathogens for adhesion sites on host tissues, effectively blocking the establishment and proliferation of infections within a host. This multifaceted interference with pathogen mechanisms highlights the therapeutic potential of probiotics in controlling infectious diseases and enhancing host resilience. This review provides a detailed analysis of these mechanisms, underscoring the potential of probiotics for therapeutic applications to enhance public health.
Application of Pseudomonas cepacia CCT 6659 Biosurfactant as a Metal Corrosion Inhibitor in a Constructed Accelerated Corrosion Chamber (ACC)
Authors: Soares da Silva Rita de Cássia F. , Selva Filho Alexandre Augusto P. , Faccioli Yslla Emanuelly S. , Silva Yasmim K. , Oliveira Kaio W. , Araujo Gleice Paula , Rocha e Silva Nathália Maria P. , Converti Attilio , Sarubbo Leonie A.
Published: November 2024

Corrosion is the deterioration of metals due to environmental exposure. Commercial inhibitors used to control corrosion often contain heavy metal salts, which are highly toxic to both the environment and human health. A biosurfactant produced by the bacterium Pseudomonas cepacia CCT 6659 was tested as a corrosion inhibitor on carbon steel and galvanized iron surfaces. Matrices based on plant ingredients with different compositions were tested in a laboratory-constructed accelerated corrosion chamber (ACC) simulating a critical maritime atmosphere in conditions of 40 °C, 5% NaCl, and 100% humidity. The most stable matrix was selected for biosurfactant incorporation in different concentrations, expressed as critical micellar concentration (CMC), and was applied to metal surfaces to evaluate its ability to inhibit corrosion. Additionally, to evaluate the potential of the biosurfactant as a low-toxicity corrosion inhibitor additive in paint systems, iron and carbon steel samples were coated with three biosurfactant-containing commercial paints and subjected to critical atmospheric conditions for testing coating effectiveness. The formulation containing vegetable resin as a plasticizer, oleic acid, ethanol, and CaCO3 was chosen to incorporate the biosurfactant. The addition of the biosurfactant at twice its CMC led to a reduction in carbon steel sample mass loss from 123.6 to 82.2 g/m2, while in the galvanized iron plates, the mass loss decreased from 285.9 to 226.7 g/m2 at the same biosurfactant concentration. When supplemented with the biosurfactant, the alkyd resin-based paint (A) ensured less mass loss in samples (46.0 g/m2) compared to the control without biosurfactant (58.0 g/m2). Using the paint formulated with oil-based resin (B), the mass loss decreased from 53.0 to 24.1 g/m2, while with that based on petroleum derivatives (C), it decreased from 82.2 to 27.6 g/m2. These results confirm the feasibility of using biosurfactants in biodegradable coatings, reducing the need for commercial corrosion inhibitors.
Novel PCR-Based Technology for the Detection of Sunflower in Edible and Used Cooking Oils
Authors: Kutateladze Tamara , Karchkhadze Kakha , Bitskinashvili Kakha , Vishnepolsky Boris , Ninidze Tata , Mikeladze David , Datukishvili Nelly
Published: November 2024

Reliable detection of sunflower (Helianthus annuus) in edible and used cooking oil (UCO) is crucial for the sustainable production of food and biodiesel. In this study, a variety of sunflower oils (crude, cold pressed, extra virgin, refined, and UCO) were examined using different methods of DNA extraction and PCR amplification to develop an efficient technology for the identification of sunflower in oils. DNA extraction kits such as NucleoSpin Food, DNeasy mericon Food, and Olive Oil DNA Isolation as well as modified CTAB method were found to be able to isolate amplifiable genomic DNA from highly processed oils. Novel uniplex, double, and nested PCR systems targeting the sunflower-specific helianthinin gene were developed for efficient identification of sunflower. New sunflower DNA markers were revealed by uniplex PCRs. The combination of modified CTAB and nested PCR was demonstrated as a reliable, rapid, and cost-effective technology for detecting traces of sunflower in 700 μL of highly processed oil, including refined and used cooking oil. The study will contribute to both the food industry and the energy sector as developed methods can be used for oil authenticity testing in food and biodiesel production.
Bioactive Composition of Tropical Flowers and Their Antioxidant and Antimicrobial Properties
Authors: Coyago-Cruz Elena , Barrigas Alejandro , Guachamin Aida , Heredia-Moya Jorge , Zuñiga-Miranda Johana , Vera Edwin
Published: November 2024

This study evaluated tropical flower petals’ bioactive compounds and antioxidant and antimicrobial properties. The physicochemical characteristics, carotenoids, phenolics, anthocyanins, organic acids, and antioxidant activity of 67 flowers were analyzed. In addition, the antimicrobial activity against Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, Streptococcus mutans, Candida albicans, and Candida tropicalis of 35 species was determined. A 2 × 3 experimental design was used for the extraction of carotenoids and phenolics, including solvents and ultrasonic agitation times. The mixture of methanol–acetone–dichloromethane (1:1:2) and acetone–methanol (2:1) resulted in the highest concentration of carotenoids, while acidified 80% methanol favoured phenolic extraction. Renealmia alpinia was extremely rich in carotenoids (292.5 mg β-carotene/g DW), Pleroma heteromallum in anthocyanins (7.35 mg C-3-gl/g DW), while a high content of citric acid was found in Hibiscus rosa-sinensis (17,819 mg/100 g DW). On the other hand, Thibaudia floribunda showed the highest antioxidant activity (7.8 mmol Trolox equivalent/g DW). The main phenolics were m-coumaric acid in Acalypha poiretii (12,044 mg/100 g DW), 4-hydroxybenzoic acid in Brugmansia arborea (10,729 mg/100 g DW), and kaempferol in Dahlia pinnata (8236 mg/100 g DW). The extract of Acalypha poiretii, Brownea macrophylla, and Cavendishia nobilis showed antibacterial activity, while the extract of Pleroma heteromallum was the only one active against Candida albicans. These findings highlight the potential health benefits from certain tropical flowers.
Evaluation of Probiotic Potential and Functional Properties of Lactobacillus Strains Isolated from Dhan, Traditional Algerian Goat Milk Butter
Authors: Bentahar Mohamed Cherif , Benabdelmoumene Djilali , Robert Véronique , Dahmouni Said , Qadi Wasim S. M. , Bengharbi Zineb , Langella Philippe , Benbouziane Bouasria , Al-Olayan Ebtesam , Dawoud Esraa Adnan Dawoud , Mediani Ahmed
Published: November 2024

Goat milk butter, locally known as “Dhan”, from the Sfisfa region of Algeria, holds significant cultural and economic value. This study investigates the probiotic properties of lactic acid bacteria (LAB) present in Dhan, focusing particularly on Lactobacillus strains. Molecular identification using 16S rRNA revealed a dominance of Levilactobacillus brevis and Lactiplantibacillus plantarum, forming a substantial part of the bacterial profile. Three LAB isolates (DC01-A, DC04, and DC06) were selected from fresh samples, and rigorous analyses were performed to evaluate their probiotic properties. Safety assessments confirmed the absence of gelatinase, DNase, and haemolytic activities in all isolates. The isolates demonstrated high tolerance to bile salts and acidic conditions, along with the ability to survive simulated gastrointestinal digestion. Notably, strain DC06 exhibited exceptional survival at low pH (1.5) and high bile salt concentrations (0.15–0.3%). All isolates showed substantial growth in MRS medium with 2% phenol, although growth was significantly decreased at 5% phenol. Furthermore, our strains exhibited high adhesion rates to various solvents, demonstrating their potential for strong interaction with cell membranes. Specifically, adhesion to chloroform was observed at 98.26% for DC01-A, 99.30% for DC04, and 99.20% for DC06. With xylene, the adhesion rates were 75.94% for DC01-A, 61.13% for DC04, and 76.52% for DC06. The LAB strains demonstrated impressive growth in ethanol concentrations up to 12%, but their tolerance did not exceed this concentration. They also exhibited robust growth across temperatures from 10 °C to 37 °C, with strains DC04 and DC06 able to proliferate at 45 °C, though none survived at 50 °C. Additionally, the isolates showed significant resistance to oxidative stress induced by hydrogen peroxide (H2O2) and displayed medium to high autolytic activity, with rates of 50.86%, 37.53%, and 33.42% for DC01-A, DC04, and DC06, respectively. The cell-free supernatant derived from strain DC04 exhibited significant antimicrobial activity against the tested pathogens, while strain DC06 demonstrated moderate antioxidant activity with the highest DPPH scavenging rate at 68.56%, compared to the probiotic reference strain LGG at 61.28%. These collective findings not only suggest the probiotic viability of LAB strains found in Dhan but also highlight the importance of traditional food practises in contributing to health and nutrition. Consequently, this study supports the potential of traditional Dhan butter as a functional food and encourages further exploration of its health benefits.
The Changes in Color and Image Parameters and Sensory Attributes of Freeze-Dried Clones and a Cultivar of Red-Fleshed Apples
Authors: Ropelewska Ewa , Lewandowski Mariusz
Published: November 2024

The target of breeding red-fleshed apples is to increase their potential health benefits related to red flesh coloration and consumer acceptance. The objective of this study was to determine the usefulness of four clones (90, 120, 156, and 158) of red-fleshed apples for freeze-drying compared to the cultivar ‘Trinity’. Red-fleshed apples were dried in the form of slices using a laboratory freeze-dryer. The changes in color features and image texture parameters after drying and the sensory quality of freeze-dried samples were assessed. Trends of increase in the value of the L* parameter and decrease in the a* and b* parameters after freeze-drying were observed. Furthermore, freeze-drying caused statistically significant changes in analyzed image textures named XHMean, RHMean, SHMean, VHMean, LHMean, and UHMean. Machine learning models developed based on the color parameters L*, a*, and b* distinguished raw and freeze-dried red-fleshed apples with an average accuracy of 84% for clone 90 up to 99.0% for clone 156, and models based on twenty selected image textures exhibited an accuracy of 98.5% for clone 156 to 100% for clones 90 and 158 and the cultivar ‘Trinity’. The very attractive external appearance, medium-intense fruity smell, crunchiness, and intense fruity taste of all the apple slices were revealed. The innovative aspect of this study included the comparison of the drying behavior and sensory quality of the new clones and a standard cultivar of red-fleshed apples. Moreover, innovative methods and results were used to determine the effect of freeze-drying on red-fleshed apple quality, considering novel models involving thousands of image textures and machine learning algorithms.
Evolution of Bionanocomposites: Innovations and Applications in Food Packaging
Authors: Bharathi Vimala S. K. , Jayas Digvir S.
Published: November 2024

Bionanocomposites are emerging as a pivotal innovation in sustainable food packaging, leveraging the strengths of biopolymers enhanced with nanoparticles for improved functionality. The increasing demand for sustainable packaging solutions, coupled with advancements in nanotechnology, has driven research in this field over the past decade. This review covers the full spectrum of developments in the field, from the classification and synthesis of bionanocomposites to their applications in food packaging and current research trends. A detailed trend analysis using Web of Science data highlighted the growth in bionanocomposite research, with over 17,000 articles published on this topic. Notably, more than 2000 of these articles focus specifically on packaging applications. This review also investigates the application trends for various food products, including fruits and vegetables, grains, meat, dairy products, bakery items, nuts, and oils. The review identifies a marked increase in publications related to bionanocomposite packaging since 2008. Notably, research on packaging applications has increasingly concentrated on fruits and vegetables, followed by meat, dairy products like cheese, and bakery products such as bread. A comprehensive analysis of research trends before 2010 and in 2024 underscores a shift from fundamental material science towards practical, real-world applications. This review provides valuable insights into the transformative potential of bionanocomposites for food packaging technologies and their role in advancing environmentally sustainable solutions.
Integrating Bacteriophage onto the Magnetic Nanozyme for Effective Enrichment and Colorimetric Detection of Cronobacter sakazakii in Powdered Infant Formula
Authors: Xu Xuechao , Zhang Yuansong , Gao Lu , Yang Juanli , Yang Zhenquan
Published: November 2024

Cronobacter sakazakii is a dangerous pathogen easily found in powdered infant formula (PIF), causing severe infections and even death in infants. Herein, a bacteriophage-immobilized magnetic nanozyme (Fe3O4@EspYZU13) was prepared for C. sakazakii detection. Bacteriophage EspYZU13 isolated and identified by our group exhibits specific lytic capacity. Fe3O4@EspYZU13 possesses remarkable enrichment capacity towards C. sakazakii, efficiently enriching different concentrations of C. sakazakii from a mixed bacterial solution. Furthermore, Fe3O4@EspYZU13 shows peroxidase-like activity, which can catalyze the 3,3′,5,5′-tetramethylbenzidine (TMB) chromogenic reaction in the presence of H2O2. Upon introduction of C. sakazakii, it can be specifically captured by Fe3O4@EspYZU13, inhibiting its peroxidase-like activity. Based on it, C. sakazakii ranging from 3.2 × 101 to 3.2 × 107 CFU mL−1 can be determined, offering a detection limit (LOD) of 26 CFU mL−1. Moreover, this reaction system keeps high specificity towards C. sakazakii, which can resist interferences of other possible coexisting bacteria. C. sakazakii in the artificially contaminated PIF can be detected, offering good recoveries (96.76% to 103.13%). These results indicate that our proposed reaction system demonstrates its practical application potential for efficient enrichment of C. sakazakii from complex samples and accurate determination of C. sakazakii in PIF.
Control of the Bifurcation Behaviors of Delayed Fractional-Order Neural Networks with Cooperation–Competition Topology
Authors: Cheng Zunshui
Published: November 2024

In the real world, the competition and cooperation relationship exists in numerous systems. For instance, the competition–cooperation structure of a biological neural network is determined by the excitatory and inhibitory effects of neurons. The dynamic behaviors of a neural network model with a competition–cooperation structure are studied in this article, focusing particularly on the bifurcation and control problems. By selecting time delay as the parameter, a new sufficient condition for Hopf bifurcation is given and the impact of the fractional order on bifurcation behavior is determined for the network. Furthermore, a time-delay feedback controller is introduced to manage Hopf bifurcation behaviors, and, meanwhile, the stability domain is expanded. Our findings indicate that both fractional order and time delay play a crucial role in controlling the stability and Hopf bifurcation of the given model. Lastly, the accuracy of our theoretical results is verified through several numerical simulations, and the impact of control parameters on the bifurcation behavior of the network model is discussed in detail.
Exosome-Integrated Hydrogels for Bone Tissue Engineering
Authors: Hwang Hee Sook , Lee Chung-Sung
Published: November 2024

Exosome-integrated hydrogels represent a promising frontier in bone tissue engineering, leveraging the unique biological properties of exosomes to enhance the regenerative capabilities of hydrogels. Exosomes, as naturally occurring extracellular vesicles, carry a diverse array of bioactive molecules that play critical roles in intercellular communication and tissue regeneration. When combined with hydrogels, these exosomes can be spatiotemporally delivered to target sites, offering a controlled and sustained release of therapeutic agents. This review aims to provide a comprehensive overview of the recent advancements in the development, engineering, and application of exosome-integrated hydrogels for bone tissue engineering, highlighting their potential to overcome current challenges in tissue regeneration. Furthermore, the review explores the mechanistic pathways by which exosomes embedded within hydrogels facilitate bone repair, encompassing the regulation of inflammatory pathways, enhancement of angiogenic processes, and induction of osteogenic differentiation. Finally, the review addresses the existing challenges, such as scalability, reproducibility, and regulatory considerations, while also suggesting future directions for research in this rapidly evolving field. Thus, we hope this review contributes to advancing the development of next-generation biomaterials that synergistically integrate exosome and hydrogel technologies, thereby enhancing the efficacy of bone tissue regeneration.
Enhanced Ammonia Capture for Adsorption Heat Pumps Using a Salt-Embedded COF Aerogel Composite
Authors: Fissaha Hiluf T. , Kim Duckjong
Published: November 2024

Adsorption heat pumps (AHPs) have garnered significant attention due to their efficient use of low-grade thermal energy, eco-friendly nature, and cost-effectiveness. However, a significant challenge lies in developing adsorbent materials that can achieve a high uptake capacity, rapid adsorption rates, and efficient reversible release of refrigerants, such as ammonia (NH3). Herein, we developed and synthesized a novel salt-embedded covalent organic framework (COF) composite material designed for enhanced NH3 capture. This material was prepared by encapsulating sodium bromide (NaBr) within a porous and densely functionalized sulfonic acid-based COF. The COF was synthesized through a Schiff base (imine) condensation reaction, providing a robust platform for effective NaBr impregnation. The COF-based aerogel composite powder was investigated for its potential in ammonia-based AHPs, benefiting from both the porous, highly functionalized COF structure and the strong NH3 affinity of the impregnated NaBr. The composite adsorbent demonstrates an impressive NH3 adsorption capacity, adsorption rate, and stability. The exceptional NH3 adsorption performance of the COF-based aerogel composite powder is primarily attributed to the uniformly dispersed NaBr within the COF, the coordination of NH3 molecules with Na+ ions, and the hydrogen bonding interaction between NH3 and Br- ions. These findings highlight the potential of the salt-embedded COF composite for use in NH3-based AHPs, gas separation, and other related applications.
Rescue of Aberrant Splicing Caused by a Novel Complex Deep-intronic ABCA4 Allele
Authors: Maggi Jordi , Feil Silke , Gloggnitzer Jiradet , Maggi Kevin , Hanson James V. M. , Koller Samuel , Gerth-Kahlert Christina , Berger Wolfgang
Published: November 2024

Background/Objectives: Stargardt disease (STGD1) is an autosomal recessive disorder caused by pathogenic variants in ABCA4 that affects the retina and is characterised by progressive central vision loss. The onset of disease manifestations varies from childhood to early adulthood. Methods: Whole exome (WES), whole gene, and whole genome sequencing (WGS) were performed for a patient with STGD1. Results: WES revealed a heterozygous pathogenic missense variant in ABCA4, but no second pathogenic variant was found. ABCA4 whole-gene sequencing, subsequent WGS, and segregation analysis identified a complex deep-intronic allele (NM_000350.2(ABCA4):c.[1555-5882C>A;1555-5784C>G]) in trans to the missense variant. Minigene assays combined with nanopore sequencing were performed to characterise this deep-intronic complex allele in more detail. Surprisingly, the reference minigene revealed the existence of two pseudoexons in intron 11 of the ABCA4 gene that are included in low-abundance (<1%) transcripts. Both pseudoexons could be confirmed in cDNA derived from wildtype retinal organoids. Despite mild splicing predictions, the variant minigene revealed that the complex deep-intronic allele substantially increased the abundance of transcripts that included the pseudoexon overlapping with the variants. Two antisense oligonucleotides (AONs) were designed to rescue the aberrant splicing events. Both AONs increased the proportion of correctly spliced transcripts, and one of them rescued correct splicing to reference levels. Conclusions: Minigene assays combined with nanopore sequencing proved instrumental in identifying low-abundance transcripts including pseudoexons from wildtype ABCA4 intron 11, one of which was substantially increased by the complex allele.
Can Global DNA Methylation Be Influenced by Polymorphisms in Genes Involved in Epigenetic Mechanisms? A Review
Authors: de Oliveira Naila Francis Paulo , Persuhn Darlene Camati , dos Santos Maria Cristina Leme Godoy
Published: November 2024

Background: Global methylation refers to the total methylation in the DNA and can also be inferred from the Line 1 and Alu regions, as these repeats are very abundant in the genome. The main function of DNA methylation is to control gene expression and is associated with both normal and pathological mechanisms. DNA methylation depends on enzymes that generate the methyl radical (e.g., methylenetetrahydrofolate reductase—MTHFR) and attach this radical to the DNA (DNA methyltransferases—DNMT). Genetic variants such as single nucleotide polymorphisms (SNP) in these genes can lead to changes in the activity or expression of MTHFR and DNMT proteins and consequently influence the DNA methylation profile. This review focuses on studies investigating inter-individual variations in the global DNA methylation profile associated with genetic polymorphisms in the MTHFR and DNMT genes. Methods: A narrative review was conducted, taking into account articles published in the last 15 years. Results: It was found that the SNPs rs1801131, rs1801133 and rs1537514 in the MTHFR gene, rs2241531, rs2228611, rs2228612, rs21124724 and the haplotype rs2288349, rs2228611, rs2228612, rs16999593 in the DNMT1 gene, rs2424909, rs998382, rs6058891, rs6058897, rs4911256, rs2889703 and rs1883729 in the DNMT3B were associated with the level of global DNA methylation, including LINE and Alu regions in different contexts. No association was found with polymorphisms in the DNMT3A gene. Conclusions: It is concluded that polymorphisms in the MTHFR and DNMT genes may influence the global DNA methylation profile in health, inflammation, tumours and mental illness.
Skin and Induced Pluripotent Stem Cells as Biomarkers for Neurodegenerative Diseases
Authors: Rallis Efstathios , Grech Vasiliki-Sofia , Lotsaris Kleomenis , Tertipi Niki , Sfyri Eleni , Kefala Vassiliki
Published: November 2024

As the global population ages, the rising prevalence of neurodegenerative diseases, characterized by abnormal protein aggregates, presents significant challenges for early diagnosis and disease monitoring. Identifying accessible tissue biomarkers is crucial for advancing our ability to detect and track the progression of these diseases. Among the most promising biomarkers is the skin, which shares a common embryological origin with the brain and central nervous system (CNS). This biological connection positions the skin as a potential reflection of CNS pathology. Over the past decades, gene expression studies have demonstrated that key genes involved in neurodegenerative diseases are also expressed in skin tissues. Genes such as APP, PSEN1, PPA2, PINK1, LRRK2, PLCB4, MAPT, SPAST, and SPG7 are prominent in this regard. Beyond gene expression, proteins related to neurodegenerative diseases—such as α-synuclein, TAU, PARKIN, and prion protein (PrP)—have been isolated from the skin of affected individuals, underscoring the skin’s capacity to mirror neural degeneration. This non-invasive window into neurodegenerative processes is further enhanced by advances in stem cell technology, which have allowed for the generation of human-induced pluripotent stem cells (iPSCs) from patient-derived fibroblasts. These iPSCs offer a valuable model for studying disease mechanisms and developing therapeutic approaches. This review conducts a comprehensive analysis of the literature from databases such as PubMed, Google Scholar, and ResearchGate, emphasizing the unique potential of the skin as a non-invasive biomarker for neurodegenerative diseases. It explores how the skin serves as a bridge between gene expression and disease pathology in both the skin and the CNS. By leveraging this biological connection, the skin emerges as a promising model for enhancing our understanding of neurodegenerative disorders and developing innovative strategies for early detection and treatment. However, significant limitations remain, requiring further validation to establish the specificity and sensitivity of these biomarkers.
Is the Relationship Between Cardiovascular Disease and Alzheimer’s Disease Genetic? A Scoping Review
Authors: Moore Anni , Ritchie Marylyn D.
Published: November 2024

Background/Objectives: Cardiovascular disease (CVD) and Alzheimer’s disease (AD) are two diseases highly prevalent in the aging population and often co-occur. The exact relationship between the two diseases is uncertain, though epidemiological studies have demonstrated that CVDs appear to increase the risk of AD and vice versa. This scoping review aims to examine the current identified overlapping genetics between CVDs and AD at the individual gene level and at the shared pathway level. Methods: Following PRISMA-ScR guidelines for a scoping review, we searched the PubMed and Scopus databases from 1990 to October 2024 for articles that involved (1) CVDs, (2) AD, and (3) used statistical methods to parse genetic relationships. Results: Our search yielded 2918 articles, of which 274 articles passed screening and were organized into two main sections: (1) evidence of shared genetic risk; and (2) shared mechanisms. The genes APOE, PSEN1, and PSEN2 reportedly have wide effects across the AD and CVD spectrum, affecting both cardiac and brain tissues. Mechanistically, changes in three main pathways (lipid metabolism, blood pressure regulation, and the breakdown of the blood–brain barrier (BBB)) contribute to subclinical and etiological changes that promote both AD and CVD progression. However, genetic studies continue to be limited by the availability of longitudinal data and lack of cohorts that are representative of diverse populations. Conclusions: Highly penetrant familial genes simultaneously increase the risk of CVDs and AD. However, in most cases, sets of dysregulated genes within larger-scale mechanisms, like changes in lipid metabolism, blood pressure regulation, and BBB breakdown, increase the risk of both AD and CVDs and contribute to disease progression.
Health Resort Treatment Improves Functioning and Physical Performance in Long COVID Patients: A Retrospective Study
Authors: Onik Grzegorz , Knapik Katarzyna , Dąbrowska-Galas Magdalena , Sieroń Karolina
Published: November 2024

Background/Objectives: The physical performance and functional status of individuals with long COVID may be altered. Health resort treatment comprises balneology, exercises, physical medicine modalities, and climate therapy. Complex treatment in a sanatorium may have a positive effect on long COVID patients. This study assessed functional status, physical performance, and fatigue in people with long COVID that qualified for the health resort treatment and its efficacy in this group of patients. Methods: A retrospective review of the medical records of 116 patients (66 women and 50 men) undergoing health resort treatment for long COVID in 2021 at the Rehabilitation Hospital and Sanatorium “Gwarek” in Goczałkowice-Zdrój (Poland) was conducted. Data were collected between March and May 2024. Their functional status, physical performance, and level of fatigue were assessed twice: before and after the treatment. Results: After the health resort treatment, their physical performance (10.41 points ± 1.84 points vs. 11.57 points ± 0.94 points; p < 0.00001) and functional status (2.13 points ± 0.88 points vs. 1.23 points ± 0.62 points; p < 0.00001) improved. Their fatigue (4.83 points ± 2.38 points vs. 2.15 points ± 1.31 points; p < 0.00001) level was diminished after the treatment. Conclusions: Fatigue was of moderate intensity in the long COVID patients that qualified for the health resort treatment. Most of the long COVID patients reported mild functional limitations, whereas their physical performance was undisturbed. Health resort treatment improved functioning in patients with persistent COVID-19 symptoms by reducing fatigue, improving their functional capacity and physical performance. It should be recommended as a supplement to the standard treatment because of its complexity.
Bioaccessibility and Antioxidant Capacity of Alkaloids from Microencapsulated Extract of Eggplant (Solanum melongena L.) Biomass
Authors: Germán-Soto Brianda Giselle , Heredia José Basilio , Leyva-López Nayely , Gutiérrez-Grijalva Erick Paul , García-Carrasco Melissa , Bastidas-Bastidas Pedro de Jesús , Contreras-Angulo Laura Aracely
Published: November 2024

Eggplant is a vegetable grown worldwide, and due to quality standards, large amounts of biomass are generated after harvest. Biomass is considered a source of bioactive compounds with antioxidant properties. Therefore, this research aimed to evaluate the bioaccessibility (BA) and antioxidant capacity of microencapsulated alkaloids from eggplant fruit biomass. Eggplant biomass was collected, and the total alkaloid content, antioxidant capacity (TEAC, FRAP, and ORAC), and alkaloid profile (UPLC/MS) were determined before and after the in vitro digestion of encapsulated and non-encapsulated alkaloids. In vitro digestion significantly reduced the total alkaloid content and antioxidant capacity of alkaloid-rich extracts. Microencapsulation increased the bioaccessibility of alkaloid-rich extracts threefold, and the antioxidant capacity increased by up to 50%. The antioxidant capacity of digested microcapsules increased, and their bioaccessibility was higher than that of non-encapsulated alkaloids. Solamargine and solasonine decreased by 17 and 15% BA, respectively, during in vitro digestion; however, microencapsulation protected these alkaloids during in vitro digestion and enhanced their content. This study demonstrates that microencapsulation is a feasible option to protect alkaloids and preserve their antioxidant capacity during gastrointestinal digestion, as well as to give added value to eggplant plant biomass.
MSOAR-YOLOv10: Multi-Scale Occluded Apple Detection for Enhanced Harvest Robotics
Authors: Fu Heng , Guo Zhengwei , Feng Qingchun , Xie Feng , Zuo Yijing , Li Tao
Published: November 2024

The accuracy of apple fruit recognition in orchard environments is significantly affected by factors such as occlusion and lighting variations, leading to issues such as missed and false detections. To address these challenges, particularly related to occluded apples, this study proposes an improved apple-detection model, MSOAR-YOLOv10, based on YOLOv10. Firstly, a multi-scale feature fusion network is enhanced by adding a 160 × 160 feature scale layer to the backbone network, which increases the model’s sensitivity to small local features, particularly for occluded fruits. Secondly, the Squeeze-and-Excitation (SE) attention mechanism is integrated into the C2fCIB convolution module of the backbone network to improve the network’s focus on the regions of interest in the input images. Additionally, a Diverse Branch Block (DBB) module is introduced to enhance the performance of the convolutional neural network. Furthermore, a Normalized Wasserstein Distance (NWD) loss function is proposed to effectively reduce missed detections of densely packed and overlapping targets. Experimental results in orchards indicate that the proposed improved YOLOv10 model achieves precision, recall, and mean average precision rates of 89.3%, 89.8%, and 92.8%, respectively, representing increases of 3.1%, 2.2%, and 3.0% compared to the original YOLOv10 model. These results validate that the proposed network significantly enhances apple recognition accuracy in complex orchard environments, particularly improving the operational precision of harvesting robots in real-world conditions.
Preharvest Applications Improve the Postharvest Storage and Quality of Tomato Fruits by Enhancing the Nutritional Value and Antioxidant System
Authors: Al-Saif Adel M. , Ahmed Mohamed E. M. , Taha Mohamed A. , Sharma Ashutosh , El-Sheshtawy Abdel-Nasser A. , Abouelsaad Ibrahim A. , El-Serafy Rasha S. , Mahdy Rehab M.
Published: November 2024

Tomato fruit’s quality, firmness, and resistance to hard postharvest handling and storage conditions can be raised via different preharvest applications, including fertilization. This study aimed to study the impact of preharvest field humic acid (HA), fulvic acid (FA), and salicylic acid (SA) treatments on the postharvest quality of tomato fruits. The experiment was arranged in a randomized complete block design in five treatments as follows: 20 mL L−1 HA plus 2 g L−1 FA (T1), 20 mL L−1 HA plus 0.5 g L−1 SA (T2), 40 mL L−1 HA plus 2 g L−1 FA (T3), 40 mL L−1 HA plus 0.5 g L−1 SA (T4), and untreated plants (T5). HA was added as a soil supplementation, while FA and SA were applied as a foliar application. Tomato fruits were collected at the beaker stage and maintained at 12 °C and 95% relative humidity for the postharvest storage period. The results obtained revealed that all physicochemical traits were significantly influenced by all treatments applied when comparing with the control fruit. The firmness of tomato fruits was better retained with the HA plus FA treatments than HA plus SA. T3 treatment improved the carotenoids and total soluble solids by 10.0% and 92.0%, respectively, relative to the control fruits. By the end of the storage period, the highest reducing sugar, ascorbic acid, and pectin content was exhibited by tomatoes subjected to T3 treatment followed by T1 and T4. Preharvest treatment enhanced antioxidant content enzymes of α-amylase, catalase (CAT), and peroxidase (POX) enzymes in tomato fruit during the storage period. Moreover, the T3 treatment recorded the lowest weight loss percentage (5.9%) by the end of storage period. The results revealed that combining preharvest HA and FA treatments effectively maintains the quality and shelf life of tomato fruits.
Advancing Coastal Flood Risk Prediction Utilizing a GeoAI Approach by Considering Mangroves as an Eco-DRR Strategy
Authors: Atmaja Tri , Setiawati Martiwi Diah , Kurisu Kiyo , Fukushi Kensuke
Published: November 2024

Traditional coastal flood risk prediction often overlooks critical geographic features, underscoring the need for accurate risk prediction in coastal cities to ensure resilience. This study enhances the prediction of coastal flood occurrence by utilizing the Geospatial Artificial Intelligence (GeoAI) approach. This approach employed models—random forest (RF), k-nearest neighbor (kNN), and artificial neural networks (ANN)—and compared them to the IPCC risk framework. This study used El Salvador as a demonstration case. The models incorporated seven input variables: extreme sea level, coastline proximity, elevation, slope, mangrove distance, population, and settlement type. With a recall score of 0.67 and precision of 0.86, the RF model outperformed the other models and the IPCC approach, which could avoid imbalanced datasets and standard scaler issues. The RF model improved the reliability of flood risk assessments by reducing false negatives. Based on the RF model output, scenario analysis predicted a significant increase in flood occurrences by 2100, mainly under RCP8.5 with SSP5. The study also highlights that the continuous mangrove along the coastline will reduce coastal flood occurrences. The GeoAI approach results suggest its potential for coastal flood risk management, emphasizing the need to integrate natural defenses, such as mangroves, for coastal resilience.
Hydrological Sustainability of Dam-Based Water Resources in a Mediterranean Basin Undergoing Climate Change
Authors: Montaldo Nicola , Sirigu Serena , Zucca Riccardo , Ruiu Adriano , Corona Roberto
Published: November 2024

The Flumendosa dams are a key part of the water resources system of the island of Sardinia. The analysis of a long-term (1922–2022) hydrological database showed that the Flumendosa basin has been affected by climate change since the middle of the last century, associated with a decrease in winter precipitation and annual runoff (Mann–Kendall τ = −0.271), reduced by half in the last century, and an increase in the mean annual air temperature (Mann–Kendall τ = +0.373). We used a spatially distributed ecohydrological model and a water resources management model (WARGI) to define the economic efficiency and the optimal water allocation in the water system configurations throughout the evaluation of multiple planning and management rules for future climate scenarios. Using future climate scenarios, testing land cover strategies (i.e., forestation/deforestation), and optimizing the use of water resources, we predicted drier future scenarios (up to the end of the century) with an alarming decrease in water resources for agricultural activities, which could halt the economic development of Sardinia. In the future hydrological conditions (2024–2100), irrigation demands will not be totally satisfied, with up to 74% of future years being in deficit for irrigation, with a mean deficit of up to 52% for irrigation.
Validation of the Neuroception of Psychological Safety Scale (NPSS) Among Health and Social Care Workers in the UK
Authors: Cogan Nicola , Campbell John , Morton Liza , Young David , Porges Stephen
Published: November 2024

Psychological safety is essential for rest, recovery, and fostering social connections, particularly for health and social care workers (HSCWs) who frequently operate in high-pressure environments. These workers are prone to traumatic stress, which can elevate their sense of threat and undermine their psychological safety. This study aimed to validate the Neuroception of Psychological Safety Scale (NPSS) among HSCWs in the UK (n = 443). The NPSS is based on polyvagal theory and assesses the dimensions of compassion, social engagement and bodily sensations. Internal consistency, test–retest reliability, convergent, discriminant, and concurrent validity were examined, along with the scale’s dimensionality. A three-factor structure was confirmed, with internal consistencies ranging from acceptable to excellent across subscales. Validity was supported by significant associations with measures of team psychological safety, well-being, post-traumatic stress, burnout, body perception, and personality. The NPSS also demonstrated strong test–retest reliability. These results validate the NPSS as a reliable and multidimensional tool for assessing psychological safety in health and social care settings. The study highlights the importance of psychological safety for HSCWs and provides a valuable measure to support interventions aimed at fostering safer and more supportive work environments.