bluuebunny/crossref_metadata_2025 huggingface dataset:
Adverse Events as a Function of Biological Sex in a Multicenter Clinical Trial of Melanoma Vaccines
Authors: Lyons Catherine E. , Jin Ruyun , Smith Aaron D. , Zhu Hong , Slingluff Craig L.
Published: November 2024

Background/Objective: Biological females experience more autoimmune disease than males and more treatment-related adverse events (TRAEs) after immune checkpoint blockade therapy. However, little is known about sex-related differences in TRAEs after cancer vaccines. Methods: The Mel44 clinical trial (NCT00118274) enrolled 167 eligible patients with high-risk melanoma to treatment with either of two melanoma multipeptide vaccines. We hypothesized that females would experience higher rates and grades of TRAEs. TRAE rates and grades were compared between sexes, with adjustment for multiple comparisons, and with mixed-effects models. Results: Multiple sex-related differences in TRAE rate and grade were observed in unadjusted comparisons, but only hyperglycemia and hypopigmentation were significantly higher-grade by sex after correcting for multiple comparisons: they were increased in males. In mixed-effect models, vaccination strategy, but not patient sex, was independently associated with TRAE rates and grades. Conclusions: These data do not support our hypothesis that TRAEs would be increased in females. Vaccine safety was supported for both males and females.
Artificial Intelligence–Driven Computational Approaches in the Development of Anticancer Drugs
Authors: Garg Pankaj , Singhal Gargi , Kulkarni Prakash , Horne David , Salgia Ravi , Singhal Sharad S.
Published: November 2024

The integration of AI has revolutionized cancer drug development, transforming the landscape of drug discovery through sophisticated computational techniques. AI-powered models and algorithms have enhanced computer-aided drug design (CADD), offering unprecedented precision in identifying potential anticancer compounds. Traditionally, cancer drug design has been a complex, resource-intensive process, but AI introduces new opportunities to accelerate discovery, reduce costs, and optimize efficiency. This manuscript delves into the transformative applications of AI-driven methodologies in predicting and developing anticancer drugs, critically evaluating their potential to reshape the future of cancer therapeutics while addressing their challenges and limitations.
Integration of CO2 Adsorbent with Ni-Al2O3 Catalysts for Enhanced Methane Production in Carbon Capture and Methanation: Cooperative Interaction of CO2 Spillover and Heat Exchange
Authors: Choi Dong Seop , Kim Hye Jin , Kim Jiyull , Yu Hyeona , Joo Ji Bong
Published: November 2024

In this study, we conducted a comparative analysis of the catalytic behavior of Ni-CaO-Al2O3 dual functional material (DFM) and a physical mixture of Ni-Al2O3 and CaO-Al2O3 in the integrated carbon capture methanation (ICCM) process for promoted methane production. H2-temperature-programmed surface reaction (H2-TPSR) analysis revealed that in Ni-CaO-Al2O3 DFM, CO2 adsorbed on the CaO surface can spillover to metallic Ni surface, enabling direct hydrogenation without desorption of CO2. Ni-CaO-Al2O3 DFM exhibited a rapid initial methanation rate due to CO2 spillover. The Ni-CaO-Al2O3 DFM, with Ni and CO2 adsorption sites in close distance, allows efficient utilization of the heat generated by methanation to desorb strongly adsorbed CO2, leading to enhanced methane production. Consequently, Ni-CaO-Al2O3 DFM produced 1.3 mmol/gNi of methane at 300 °C, converting 35% of the adsorbed CO2 to methane.
Challenging the Chemistry of Climate Change
Authors: Peachey Bruce , Maeda Nobuo
Published: November 2024

As talk grows about billions or even trillions of dollars being directed toward potential “Net Zero” activities, it is imperative that the chemistry inherent in or driving those actions make scientific sense. The challenge is to close the mass and energy balances to the carbon and oxygen cycles in the Earth’s atmosphere and oceans. Several areas of climate science have been identified that chemists can investigate through methods that do not require a supercomputer or a climate model for investigation, most notably the following: (1) The carbon cycle, which still needs to be balanced, as many known streams, such as carbon to landfills, carbon in human-enhanced sewage and land runoff streams, and carbon stored in homes and other material, do not seem to have been accounted for in carbon balances used by the IPCC. (2) Ocean chemistry and balances are required to explain the causes of regional and local-scale salinity, pH, and anoxic conditions vs. global changes. For example, local anoxic conditions are known to be impacted by changes in nutrient discharges to oceans, while large-scale human diversions of fresh water streams for irrigation, power, and industrial cooling must have regional impacts on oceanic salinity and pH. (3) Carbon Capture and Storage (CCS) schemes, if adopted on the large scales being proposed (100s to 1000s of Gt net injection by 2100), should impact the composition of the atmosphere by reducing free oxygen, adding more water from combustion, and displacing saline water from subsurface aquifers. Data indicate that atmospheric oxygen is currently dropping at about twice the rate of CO2 concentrations increasing, which is consistent with combustion chemistry with 1.5 to 2 molecules of oxygen being converted through combustion to 1 molecule of CO2 and 1 to 2 molecules of H2O, with reverse reactions occurring as a result of oxygenic photosynthesis by increased plant growth. The CCS schemes will sabotage these reverse reactions of oxygenic photosynthesis by permanently sequestering the oxygen atoms in each CO2 molecule.
Knowledge, Attitudes, and Practices of Parents Regarding Ophthalmological Screening of Preschool-Aged Children in Jazan, Saudi Arabia
Authors: Mahfouz Mohamed Salih , Mahmoud Samy Shaban , Haroobi Saleha Qaseem , Bahkali Latifah Mohammed , Numan Shahad Ibrahim , Taheri Areen Mohsen , Hakami Ohoud Ali , Zunquti Orjuwan Adel , Khered Sarah Mohammed
Published: November 2024

Background: Children’s eye disorders are a major cause of irreversible vision loss. Delays in diagnosing eye problems in children are recurring problems that require quick attention. This study assesses parents’ knowledge, attitudes, and practices regarding the early ophthalmological screening of preschool-aged children in Jazan, KSA. Methods: An observational cross-sectional study was conducted among 522 parents of preschool-aged children in the Jazan region. A self-administered web-based questionnaire was randomly distributed to the parents via WhatsApp. The survey tool consisted of four main sections: socio-demographic data, knowledge about eye care, attitudes toward eye screening, and eye care practices. Results: Parents’ level of knowledge regarding children’s eye care was distributed as follows: low (21.5%), medium (40.2%), and high (38.4%). Parent gender, age, occupation, level of income, and nationality showed no statistically significant association with the knowledge level (p > 0.05 for all). However, parent education played a significant role (p = 0.013). Further, parents expressed a positive attitude toward the early screening of eye problems, as more than 90% agreed that early eye examinations for children reduce complications from visual problems and that the increased use of electronic devices requires early eye examinations. Almost 47.0% of the parents had examined their children’s eyes when they were between 1 and 5 years of age, compared with only 10.3% of parents of children less than 1 year of age. The multiple linear regression model for factors that predict knowledge level among the study participants showed that having a child undergo early screening is positively associated with an increased knowledge score (p < 0.05). Conclusions: Jazan parents showed a positive attitude toward the early screening of eye problems, and one-third had a high level of knowledge regarding children’s eye care. However, the proportion of those who practiced early eye screening was low. More health education is necessary to increase parents’ awareness regarding early eye care practices.
The Influence of Nano-Silicon Carbide on the Properties of Aluminum Alloy Under Salt Dry–Wet Alternations
Authors: Song Shengpeng , Liu Chuanyuan , Chen Wentao , Wang Zhen , Wang Chuanyin , Cao Zihao , Wang Hui , Shi Feiting
Published: November 2024

In this study, the influence of silicon carbide on an aluminum alloy’s yield tensile strength, ultimate tensile strength, compressive strength, tensile toughness and impact toughness were investigated. Meanwhile, the aluminum alloy specimens were exposed to the dry–wet alternations with a 3% NaCl solution or 3% Na2SO4 solution. Scanning electron microscope (SEM) photos and scanning electron microscopy energy spectra (SEM-EDS) were obtained. The results indicate that the silicon carbide with a mass ratio of 0%~8% of the total mass of the aluminum alloy can increase the yield tensile strength, the ultimate tensile strength, and the compressive strength by rates of 0%~30.4%, 0%~14.1% and 0%~13.1%. However, when the mass ratio of the silicon carbide increased from 8% to 10%, the yield tensile strength, the ultimate tensile strength and the compressive strength decreased by rates of 0%~3.2%, 0%~2.6% and 0%~0.43%. The tensile toughness and the impact toughness decreased when silicon carbide was added, with reduction rates of 0%~15.3% and 0%~12.8%. The NaCl dry–wet alternations led to decreases in the yield tensile strength, the ultimate tensile strength, the compressive strength, the tensile toughness and the impact toughness by rates of 0%~7.3%, 0%~6.7%, 0%~13.9%, 0%~12.7% and 0%~11.2%, respectively. After the Na2SO4 dry–wet alternations, the corresponding decreasing rates were 0%~5.1%, 0%~5.4%, 0%~1.73%, 0%~11.4% and 0%~9.7%. The addition of silicon carbide resulted in a decrease in the effect on the mechanical strength by the NaCl and Na2SO4 dry–wet alternations. The elements carbon, oxygen, magnesium, aluminum and silicon were observed in the aluminum alloy. The structures of the aluminum alloy with 8% silicon carbide were the highest.
Metal Oxides: Crystal Structure, Synthesis and Characterization
Authors: Siedliska Karolina
Published: November 2024

Solid metal oxides are widely recognized for their ubiquitous presence and multifaceted utility in everyday applications [...]
A Revival of Molecular Surface Electrostatic Potential Statistical Quantities: Ionic Solids and Liquids
Authors: Murray Jane S. , Riley Kevin E. , Brinck Tore
Published: November 2024

In this paper, we focus on surface electrostatic potentials and a variety of statistically derived quantities defined in terms of the surface potentials. These have been shown earlier to be meaningful in describing features of these potentials and have been utilized to understand the interactive tendencies of molecules in condensed phases. Our current emphasis is on ionic salts and liquids instead of neutral molecules. Earlier work on ionic salts has been reviewed. Presently, our results are for a variety of singly charged cations and anions that can combine to form ionic solids or liquids. Our approach is computational, using the density functional B3PW91/6-31G(d,p) procedure for all calculations. We find consistently that the average positive and negative surface electrostatic potentials of the cations and anions decrease with the size of the ion, as has been noted earlier. A model using computed statistical quantities has allowed us to put the melting points of both ionic solids and liquids together, covering a range from 993 °C to 11 °C.
Predation Risk, Foraging and Reproduction of an Insectivore Fish Species Associated with Two Estuarine Habitats
Authors: Guedes Éden Hávila Lima , Pereira Juan Alves , Brito Gitá Juan Soterorudá , Júnior Alexandre da Gama Fernandes Vieira , Pessanha André Luiz Machado
Published: November 2024

Pneumatophore fringes and mudflats are extremely valuable habitats and provide structures on which many fish species benefit in terms of food and reduced predation risk. We analyzed the spatiotemporal patterns in feeding habits, reproductive aspects and effects of predatory fish presence to assess the ecological drivers of the common halfbeak, Hyporhamphus unifasciatus, in a Brazilian estuary. Sampling was conducted during the rainy and dry periods. In summary, the results demonstrated that the number of predatory fishes was a strong predictor of population abundance and biomass, followed by pneumatophore complexity. The abundance and biomass values tended to increase with increasing habitat structural complexity towards the upper estuary. There was evidence that fish exhibited movement during the rainy season related to spawning events and subsequent juvenile recruitment in this area. Hymnoptera was the item most frequently ingested and made the greatest contributions to the volume of diet in habitat types throughout the year. There was an increase in the condition factor in the rainy season, which was associated with energy reserves, reproduction and growth (fitness). We concluded that predation is an important ecological process that operates at local spatial scales and that, together with the density of pneumatophores, it could affect the abundance of common halfbeak populations associated with estuarine habitats.
Validation of Ultrasound Measurement of Vastus Lateralis for Appendicular Skeletal Muscle Mass in Chronic Kidney Disease Patients with Hemodialysis
Authors: Liu Peng-Ta , Wei Ta-Sen , Ching Congo Tak-Shing
Published: November 2024

Background: Chronic kidney disease patients undergoing hemodialysis (HD) are at a high risk of developing sarcopenia. This study aimed to validate the performance of ultrasound (US) measurements of the vastus lateralis (VL) for estimating muscle mass and diagnosing sarcopenia in CKD patients with HD. Methods: Forty-six patients were enrolled in this study. Muscle thickness (MT) and echo intensity (EI) of VL, physical performance, and biochemical markers were collected to establish a linear regression model for predicting appendicular skeletal muscle mass (ASM), using dual-energy X-ray absorptiometry (DXA) as the reference standard. The model’s performance was validated, and its diagnostic accuracy for sarcopenia was also evaluated. Results: An ASM prediction model was derived: −20.17 + 1.90 × MT_VL (cm) + 1.58 × male + 0.16 × Height (cm) + 0.09 × Weight (kg) + 0.05 × Age (year), with a standard estimated error of 1.44 kg and adjusted R-squared of 0.84. The model exhibited high correlation and an acceptable limit of agreement, compared to DXA measurement. EI displayed a negative correlation with ASM and MT. Conclusions: The ASM adjusted with BMI demonstrated superior performance in diagnosing sarcopenia compared to the ASM adjusted with height. Ultrasound provides a cost-effective bedside tool for evaluating muscle conditions in HD patients.
Multi-Scale 3D Cephalometric Landmark Detection Based on Direct Regression with 3D CNN Architectures
Authors: Song Chanho , Jeong Yoosoo , Huh Hyungkyu , Park Jee-Woong , Paeng Jun-Young , Ahn Jaemyung , Son Jaebum , Jung Euisung
Published: November 2024

Background: Cephalometric analysis is important in diagnosing and planning treatments for patients, traditionally relying on 2D cephalometric radiographs. With advancements in 3D imaging, automated landmark detection using deep learning has gained prominence. However, 3D imaging introduces challenges due to increased network complexity and computational demands. This study proposes a multi-scale 3D CNN-based approach utilizing direct regression to improve the accuracy of maxillofacial landmark detection. Methods: The method employs a coarse-to-fine framework, first identifying landmarks in a global context and then refining their positions using localized 3D patches. A clinical dataset of 150 CT scans from maxillofacial surgery patients, annotated with 30 anatomical landmarks, was used for training and evaluation. Results: The proposed method achieved an average RMSE of 2.238 mm, outperforming conventional 3D CNN architectures. The approach demonstrated consistent detection without failure cases. Conclusions: Our multi-scale-based 3D CNN framework provides a reliable method for automated landmark detection in maxillofacial CT images, showing potential for other clinical applications.
Collapse of Pre-COVID-19 Differences in Performance in Online vs. In-Person College Science Classes, and Continued Decline in Student Learning
Authors: Davidson Gregg R. , Xiao Hong , Davidson Kristin
Published: November 2024

Studies comparing student outcomes for online vs. in-person classes have reported mixed results, though with a majority finding that lower-performing students, on average, fare worse in online classes, attributed to the lack of built-in structure provided by in-person instruction. The online/in-person outcome disparity was normative for non-major geology classes at the University of Mississippi prior to COVID-19, but the difference disappeared in the years after 2020. Previously distinct trendlines of GPA-based predictions of earned-grade for online and in-person classes merged. Of particular concern, outcomes for in-person classes declined to match pre-COVID-19 online expectations, with lower-GPA students disproportionally impacted. Objective evidence of continued decline in student learning, masked by sliding grading scales, is also presented with a long-term record of exam scores drawing from the same question pool for over a decade. Average scores remained relatively constant until COVID-19. Scores then declined in each successive year, attributed to an increase over time in the percentage of enrolled students who had been in high school during the pandemic shutdowns. At the close of 2023, exam scores showed no signs of returning to pre-COVID-19 outcomes. The negative impacts of the shutdowns, with greater impact on those who were in high school during the pandemic, appear to be due to a loss in the developmental life-skills (e.g., self-motivation, focus, critical thinking, social development) needed to thrive in college, not just reduced exposure to preparatory subject material. These results provide a global cautionary message for the management of future pandemics.
Impact of Titanium Cranial Implants on the Electric Field and SAR Distribution Induced by Mobile Phones Within the User’s Head
Authors: Živaljević Dragana , Jovanović Dejan , Krasić Dragan , Cvetković Nenad , Petković Bojana
Published: November 2024

The purpose of this study was to determine the impact of a titanium cranial implant on the electric field distribution and the amount of energy absorbed from a cell phone within the human head. Three-dimensional lifelike models of the head of the mobile phone user, a titanium cranial implant, and a smartphone model was built. The head model consisted of sixteen homogeneous, isotropic domains, with permittivity and conductivity parameters taken from the literature. Numerical calculations were performed at the mobile communication frequency of 2600 MHz for a head model with and without a titanium cranial implant, in order to determine a field perturbation introduced by the implant. Our results show that in the presence of a titanium cranial implant, the electric field amplitude and SAR (Specific Absorption Rate) are increased within the layers close to the outer surface of the model (skin, fat tissue, and muscle). On the other hand, a cranial implant leads to a lower penetration depth, decreasing the electric field amplitude and SAR inside the skull, cerebrospinal fluid, and brain.
Power Converters for Green Hydrogen: State of the Art and Perspectives
Authors: Vitale Gianpaolo
Published: November 2024

This paper provides a comprehensive review and outlook on power converters devised for supplying polymer electrolyte membrane (PEM) electrolyzers from photovoltaic sources. The produced hydrogen, known as green hydrogen, is a promising solution to mitigate the dependence on fossil fuels. The main topologies of power conversion systems are discussed and classified; a loss analysis emphasizes the issues concerning the electrolyzer supply. The attention is focused on power converters of rated power up to a tenth of a kW, since it is a promising field for a short-term solution implementing green hydrogen production as a decentralized. It is also encouraged by the proliferation of relatively cheap photovoltaic low-power plants. The main converters proposed by the literature in the last few years and realized for practical applications are analyzed, highlighting their key characteristics and focusing on the parameters useful for designers. Future perspectives are addressed concerning the availability of new wide-bandgap devices and hard-to-abate sectors with reference to the whole conversion chain.
Anti-Jamming Power Control Algorithm for Wireless Communication Systems Based on MPC
Authors: Yu Kefeng , Niu Yingtao , Yao Hang , Zhang Kai
Published: November 2024

In complex electromagnetic environments, wireless communication system reliability can be compromised by various types of jamming. To improve reliability in the presence of malicious jamming, this paper introduces an anti-jamming power control algorithm for wireless communication systems, grounded in model predictive control (MPC) principles. The algorithm models the Yescommunication system as a linear control system, using the current signal-to-jamming-and-noise ratio (SJNR) to predict future system states and transmission power over a defined time horizon. Only the first element of the optimal control sequence is then applied to manage system power. Simulation results indicate that, compared to traditional adaptive power control algorithms, the proposed algorithm responds more swiftly to jamming variations, significantly enhancing communication reliability in high-jamming environments.
Fully Open-Source Meeting Minutes Generation Tool
Authors: Haz Amma Liesvarastranta , Panduman Yohanes Yohanie Fridelin , Funabiki Nobuo , Fajrianti Evianita Dewi , Sukaridhoto Sritrusta
Published: November 2024

With the increasing use of online meetings, there is a growing need for efficient tools that can automatically generate meeting minutes from recorded sessions. Current solutions often rely on proprietary systems, limiting adaptability and flexibility. This paper investigates whether various open-source models and methods such as audio-to-text conversion, summarization, keyword extraction, and optical character recognition (OCR) can be integrated to create a meeting minutes generation tool for recorded video presentations. For this purpose, a series of evaluations are conducted to identify suitable models. Then, the models are integrated into a system that is modular yet accurate. The utilization of an open-source approach ensures that the tool remains accessible and adaptable to the latest innovations, thereby ensuring continuous improvement over time. Furthermore, this approach also benefits organizations and individuals by providing a cost-effective and flexible alternative. This work contributes to creating a modular and easily extensible open-source framework that integrates several advanced technologies and future new models into a cohesive system. The system was evaluated on ten videos created under controlled conditions, which may not fully represent typical online presentation recordings. It showed strong performance in audio-to-text conversion with a low word-error rate. Summarization and keyword extraction were functional but showed room for improvement in terms of precision and relevance, as gathered from the users’ feedback. These results confirm the system’s effectiveness and efficiency in generating usable meeting minutes from recorded presentation videos, with room for improvement in future works.
The Prevalence of Childhood Asthma, Respiratory Symptoms and Associated Air Pollution Sources Among Adolescent Learners in Selected Schools in Vhembe District, South Africa
Authors: Rathogwa-Takalani Funzani , Mudau Thabelo Rodney , Patrick Sean , Shirinde Joyce , Voyi Kuku
Published: November 2024

This study investigated the prevalence of childhood asthma and respiratory symptoms with their associated air pollution sources among adolescents aged 13–14 years residing in a Malaria-endemic region. Methods: A cross-sectional survey was conducted with 2855 adolescents from fourteen (14) selected schools in communities exposed to high levels of air pollution from indoor residual spraying (IRS) that is used for malaria vector control in the Vhembe region. Data were collected using a self-administered standardized International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire. Statistical software STATA version 17 was used to analyze the data. Binary logistic regression was used to determine the relationship between air pollution sources and childhood asthma/symptoms. Results: The prevalences of asthma, ‘wheeze ever’ and ‘wheeze in the past’ were 18.91%, 37.69% and 24.69%, respectively. The results from the adjusted binary logistic regression model indicated that exposure to tobacco smoke (OR = 1.84; 95% CI: 1.08–3.16), smoking a water pipe (OR = 1.65; 95% CI: 1.16–2.36) and the use of paraffin as fuel for heating (OR = 1.70; 95% CI: 0.97–2.88) and cooking (OR = 0.48; 95% CI: 0.29–1.00) were significant risk factors for asthma. Trucks passing through the streets, having a cat at home and using open fires were significantly associated with ‘wheeze in the past’. Finally, using gas for cooking (OR = 0.72; 95% CI: 0.53–0.99), open fires for heating (OR = 0.53; 95% CI: 0.35–0.80) and smoking a water pipe (OR = 2.47; 95% CI: 1.78–3.44) were associated with ‘wheeze ever’. Conclusions: School children living in these communities had an increased risk of developing asthma and presenting with wheezing due to exposure to environmental air pollution sources.
Prevalence and Determinants of Household Self-Reported Diabetes Mellitus in Gauteng, South Africa
Authors: Mokhele Shoeshoe , Mokhele Tholang
Published: November 2024

Diabetes mellitus is one of the leading causes of morbidity and mortality worldwide. Type 2 diabetes mellitus is the most prevalent type of diabetes mellitus, and it is associated with both hereditary and lifestyle risk factors. South Africa is not exempt from this pandemic; hence, this paper aims to assess the prevalence and determinants of household self-reported diabetes mellitus in Gauteng, South Africa. Data were sourced from the Gauteng City-Region Observatory (GCRO) quality of life survey (2020/2021). Bivariate and multivariate logistic regressions were applied. The prevalence of household self-reported diabetes mellitus in Gauteng was 11.1%. The ‘other population’ group (which included Whites, Coloureds and Indians), as well as older respondents, higher household monthly food expenditure, poor self-perceived health status and household self-reported hypertension were factors that increased the odds of household self-reported diabetes mellitus. Only informal housing decreased the odds of household self-reported diabetes mellitus. Screening of diabetes mellitus among those with poor living conditions, no medical aid and lack of access to healthcare facilities such as Gauteng township and informal settlement residents should be intensified. This secondary disease prevention intervention is crucial, as it will enhance the appropriate referrals and timeous chronic treatment for those with diabetes mellitus.
Impact of Reduced Saliva Production on Intestinal Integrity and Microbiome Alterations: A Sialoadenectomy Mouse Model Study
Authors: Maita Kanna , Fujihara Hisako , Matsumura Mitsuki , Miyakawa Moeko , Baba Ryoko , Morimoto Hiroyuki , Nakayama Ryoko , Ito Yumi , Kawaguchi Koji , Hamada Yoshiki
Published: November 2024

This study investigates the effect of reduced saliva production on intestinal histological structure and microbiome composition using a sialoadenectomy murine model, evaluating differences in saliva secretion, body weight, intestinal histopathological changes, and microbiome alteration using 16S rRNA gene sequencing across three groups (control, sham, and sialoadenectomy). For statistical analysis, one-way analysis of variance and multiple comparisons using Bonferroni correction were performed. p-values < 0.05 were considered statistically significant. Microbiome analysis was performed using Qiime software. The results show that reduced saliva secretion leads to structural changes in the intestinal tract, including shorter and atrophic villi, deformed Paneth cells, decreased goblet cell density, and immunohistochemical changes in epidermal growth factor and poly(ADP-ribose) polymerase-1, especially at three months after surgery. They also showed significant alterations in the intestinal microbiome, including increased Lactobacillaceae and altered populations of Ruminococcaceae and Peptostreptococcaceae, suggesting potential inflammatory responses and decreased short-chain fatty acid production. However, by 12 months after surgery, these effects appeared to be normalized, indicating potential compensatory mechanisms. Interestingly, sham-operated mice displayed favorable profiles, possibly due to immune activation from minor surgical intervention. This study underscores saliva’s essential role in intestinal condition, emphasizing the “oral–gut axis” and highlighting broader implications for the relationship between oral and systemic health.
The Generation of Genetically Engineered Human Induced Pluripotent Stem Cells Overexpressing IFN-β for Future Experimental and Clinically Oriented Studies
Authors: Sheveleva Olga , Protasova Elena , Grigor’eva Elena , Butorina Nina , Kuziaeva Valeriia , Antonov Daniil , Melnikova Victoria , Medvedev Sergey , Lyadova Irina
Published: November 2024

Induced pluripotent stem cells (iPSCs) can be generated from various adult cells, genetically modified and differentiated into diverse cell populations. Type I interferons (IFN-Is) have multiple immunotherapeutic applications; however, their systemic administration can lead to severe adverse outcomes. One way of overcoming the limitation is to introduce cells able to enter the site of pathology and to produce IFN-Is locally. As a first step towards the generation of such cells, here, we aimed to generate human iPSCs overexpressing interferon-beta (IFNB, IFNB-iPSCs). IFNB-iPSCs were obtained by CRISPR/Cas9 editing of the previously generated iPSC line K7-4Lf. IFNB-iPSCs overexpressed IFNB RNA and produced a functionally active IFN-β. The cells displayed typical iPSC morphology and expressed pluripotency markers. Following spontaneous differentiation, IFNB-iPSCs formed embryoid bodies and upregulated endoderm, mesoderm, and some ectoderm markers. However, an upregulation of key neuroectoderm markers, PAX6 and LHX2, was compromised. A negative effect of IFN-β on iPSC neuroectoderm differentiation was confirmed in parental iPSCs differentiated in the presence of a recombinant IFN-β. The study describes new IFN-β-producing iPSC lines suitable for the generation of various types of IFN-β-producing cells for future experimental and clinical applications, and it unravels an inhibitory effect of IFN-β on stem cell neuroectoderm differentiation.
Oxidative Stress-Associated Alteration of circRNA and Their ceRNA Network in Differentiating Neuroblasts
Authors: Mahmoudi Ebrahim , Khavari Behnaz , Cairns Murray J.
Published: November 2024

Oxidative stress from environmental exposures is thought to play a role in neurodevelopmental disorders; therefore, understanding the underlying molecular regulatory network is essential for mitigating its impacts. In this study, we analysed the competitive endogenous RNA (ceRNA) network mediated by circRNAs, a novel class of regulatory molecules, in an SH-SY5Y cell model of oxidative stress, both prior to and during neural differentiation, using RNA sequencing and in silico analysis. We identified 146 differentially expressed circRNAs, including 93 upregulated and 53 downregulated circRNAs, many of which were significantly co-expressed with mRNAs that potentially interact with miRNAs. We constructed a circRNA–miRNA–mRNA network and identified 15 circRNAs serving as hubs within the regulatory axes, with target genes enriched in stress- and neuron-related pathways, such as signaling by VEGF, axon guidance, signaling by FGFR, and the RAF/MAP kinase cascade. These findings provide insights into the role of the circRNA-mediated ceRNA network in oxidative stress during neuronal differentiation, which may help explain the regulatory mechanisms underlying neurodevelopmental disorders associated with oxidative stress.
Ferroptosis and Its Potential Role in the Physiopathology of Skeletal Muscle Atrophy
Authors: Sun Chen-Chen , Xiao Jiang-Ling , Sun Chen , Tang Chang-Fa
Published: November 2024

Skeletal muscle atrophy is a major health concern, severely affecting the patient’s mobility and life quality. In the pathological process of skeletal muscle atrophy, with the progressive decline in muscle quality, strength, and function, the incidence of falling, fracture, and death is greatly increased. Unfortunately, there are no effective treatments for this devastating disease. Thus, it is imperative to investigate the exact pathological molecular mechanisms underlying the development of skeletal muscle atrophy and to identify new therapeutic targets. Decreased muscle mass, strength, and muscle fiber cross-sectional area are typical pathological features and manifestations of skeletal muscle atrophy. Ferroptosis, an emerging type of programmed cell death, is characterized by iron-dependent oxidative damage, lipid peroxidation, and reactive oxygen species accumulation. Notably, the understanding of its role in skeletal muscle atrophy is emerging. Ferroptosis has been found to play an important role in the intricate interplay between the pathological mechanisms of skeletal muscle atrophy and its progression caused by multiple factors. This provides new opportunities and challenges in the treatment of skeletal muscle atrophy. Therefore, we systematically elucidated the ferroptosis mechanism and its progress in skeletal muscle atrophy, aiming to provide a comprehensive insight into the intricate relationship between ferroptosis and skeletal muscle atrophy from the perspectives of iron metabolism and lipid peroxidation and to provide new insights for targeting the pathways related to ferroptosis and the treatment of skeletal muscle atrophy.
Remodeling of the Intracardiac Ganglia During the Development of Cardiovascular Autonomic Dysfunction in Type 2 Diabetes: Molecular Mechanisms and Therapeutics
Authors: Evans Anthony J. , Li Yu-Long
Published: November 2024

Type 2 diabetes mellitus (T2DM) is one of the most significant health issues worldwide, with associated healthcare costs estimated to surpass USD 1054 billion by 2045. The leading cause of death in T2DM patients is the development of cardiovascular disease (CVD). In the early stages of T2DM, patients develop cardiovascular autonomic dysfunction due to the withdrawal of cardiac parasympathetic activity. Diminished cardiac parasympathetic tone can lead to cardiac arrhythmia-related sudden cardiac death, which accounts for 50% of CVD-related deaths in T2DM patients. Regulation of cardiovascular parasympathetic activity is integrated by neural circuitry at multiple levels including afferent, central, and efferent components. Efferent control of cardiac parasympathetic autonomic tone is mediated through the activity of preganglionic parasympathetic neurons located in the cardiac extensions of the vagus nerve that signals to postganglionic parasympathetic neurons located in the intracardiac ganglia (ICG) on the heart. Postganglionic parasympathetic neurons exert local control on the heart, independent of higher brain centers, through the release of neurotransmitters, such as acetylcholine. Structural and functional alterations in cardiac parasympathetic postganglionic neurons contribute to the withdrawal of cardiac parasympathetic tone, resulting in arrhythmogenesis and sudden cardiac death. This review provides an overview of the remodeling of parasympathetic postganglionic neurons in the ICG, and potential mechanisms contributing to the withdrawal of cardiac parasympathetic tone, ventricular arrhythmogenesis, and sudden cardiac death in T2DM. Improving cardiac parasympathetic tone could be a therapeutic avenue to reduce malignant ventricular arrhythmia and sudden cardiac death, increasing both the lifespan and improving quality of life of T2DM patients.
Multi-Omics Approaches Uncovered Critical mRNA–miRNA–lncRNA Networks Regulating Multiple Birth Traits in Goat Ovaries
Authors: Lv Weibing , An Ren , Li Xinmiao , Zhang Zengdi , Geri Wanma , Xiong Xianrong , Yin Shi , Fu Wei , Liu Wei , Lin Yaqiu , Li Jian , Xiong Yan
Published: November 2024

The goat breeding industry on the Tibetan Plateau faces strong selection pressure to enhance fertility. Consequently, there is an urgent need to develop goat lines with higher fertility and adaptability. The ovary, as a key organ determining reproductive performance, is regulated by a complex transcriptional network involving numerous protein-coding and non-coding genes. However, the molecular mechanisms of the key mRNA–miRNA–lncRNA regulatory network in goat ovaries remain largely unknown. This study focused on the histology and differential mRNA/miRNA/lncRNA between Chuanzhong black goat (CBG, high productivity, multiple births) and Tibetan goat (TG, strong adaptability, single birth) ovaries. Histomorphological analysis showed that the medulla proportion in CBG ovaries was significantly reduced compared to TG. RNA-Seq and small RNA-Seq analysis identified 1218 differentially expressed (DE) mRNAs, 100 DE miRNAs, and 326 DE lncRNAs, which were mainly enriched in ovarian steroidogenesis, oocyte meiosis, biosynthesis of amino acids and protein digestion, and absorption signaling pathways. Additionally, five key mRNA–miRNA–lncRNA interaction networks regulating goat reproductive performance were identified, including TCL1B–novel68_mature–ENSCHIT00000010023, AKAP6–novel475_mature–ENSCHIT00000003176, GLI2–novel68_mature–XR_001919123.1, ITGB5–novel65_star–TCONS_00013850, and VWA2–novel71_mature–XR_001919911.1. Further analyses showed that these networks mainly affected ovarian function and reproductive performance by regulating biological processes such as germ cell development and oocyte development, which also affected the plateau adaptive capacity of the ovary by participating in the individual immune and metabolic capacities. In conclusion, we identified numerous mRNA–miRNA–lncRNA interaction networks involved in regulating ovarian function and reproductive performance in goats. This discovery offers new insights into the molecular breeding of Tibetan Plateau goats and provides a theoretical foundation for developing new goat lines with high reproductive capacity and strong adaptability to the plateau environment.
Effect of Oxidative Stress on Mitochondrial Damage and Repair in Heart Disease and Ischemic Events
Authors: Kowalczyk Paweł , Krych Sebastian , Kramkowski Karol , Jęczmyk Agata , Hrapkowicz Tomasz
Published: November 2024

The literature analysis conducted in this review discusses the latest achievements in the identification of cardiovascular damage induced by oxidative stress with secondary platelet mitochondrial dysfunction. Damage to the platelets of mitochondria as a result of their interactions with reactive oxygen species (ROS) and reactive nitrogen species (RNS) can lead to their numerous ischemic events associated with hypoxia or hyperoxia processes in the cell. Disturbances in redox reactions in the platelet mitochondrial membrane lead to the direct oxidation of cellular macromolecules, including nucleic acids (DNA base oxidation), membrane lipids (lipid peroxidation process) and cellular proteins (formation of reducing groups in repair proteins and amino acid peroxides). Oxidative changes in biomolecules inducing tissue damage leads to inflammation, initiating pathogenic processes associated with faster cell aging or their apoptosis. The consequence of damage to platelet mitochondria and their excessive activation is the induction of cardiovascular and neurodegenerative diseases (Parkinson’s and Alzheimer’s), as well as carbohydrate metabolism disorders (diabetes). The oxidation of mitochondrial DNA can lead to modifications in its bases, inducing the formation of exocyclic adducts of the ethano and propano type. As a consequence, it disrupts DNA repair processes and conduces to premature neoplastic transformation in critical genes such as the p53 suppressor gene, which leads to the development of various types of tumors. The topic of new innovative methods and techniques for the analysis of oxidative stress in platelet mitochondria based on methods such as a nicking assay, oxygen consumption assay, Total Thrombus formation Analysis System (T-Tas), and continuous-flow left ventricular assist devices (CF-LVADs) was also discussed. They were put together into one scientific and research platform. This will enable the facilitation of faster diagnostics and the identification of platelet mitochondrial damage by clinicians and scientists in order to implement adequate therapeutic procedures and minimize the risk of the induction of cardiovascular diseases, including ischemic events correlated with them. A quantitative analysis of the processes of thrombus formation in cardiovascular diseases will provide an opportunity to select specific anticoagulant and thrombolytic drugs under conditions of preserved hemostasis.
Astrocyte Dysfunction Reflected in Ischemia-Induced Astrocyte-Derived Extracellular Vesicles: A Pilot Study on Acute Ischemic Stroke Patients
Authors: Forró Timea , Manu Doina Ramona , Barbu-Tudoran Lucian , Bălașa Rodica
Published: November 2024

Extracellular vesicles (EVs) secreted by astrocytes (ADEVs) mediate numerous biological processes, providing insights into damage, repair, and protection following ischemic stroke (IS). This pilot study aimed to broaden the current knowledge on the astrocyte response to ischemia by dynamically assessing the aquaporin-4 (AQP4) and glial cell line-derived neurotrophic factor (GDNF) as cargo proteins of these vesicles in eighteen acute IS patients and nine controls. EV proteins were detected by Western blotting and followed 24 h (D1), 7 days (D7), and one month (M1) after symptoms onset. The post-ischemic ADEV AQP4 and GDNF levels were higher at D1 compared to the control group (p = 0.006 and p = 0.023). Significant differences were observed in ADEV AQP4 during the three evaluated time points (n = 12, p = 0.013) and between D1 and D7 (z = 2.858, p = 0.012), but not in EV GDNF. There was a positive relationship between the severity of stroke at D1 according to the National Institutes of Health Stroke Scale, and ADEV AQP4 at D1 (r = 0.50, p = 0.031), as well as ADEV GDNF at D1 and D7 (r = 0.49, p = 0.035 and r = 0.53, p = 0.021, respectively). The release of EVs with distinct protein profiles can be an attractive platform for the development of biomarkers in IS.
Molecular Diversity and Distribution of Whiteflies (Bemisia tabaci) in Cassava Fields Across South West and North Central, Nigeria
Authors: Efekemo Oghenevwairhe P. , Onile-ere Olabode A. , Abegunde Isaac O. , Otitolaye Folashade T. , Pita Justin S. , Alicai Titus , Eni Angela O.
Published: November 2024

Whitefly Bemisia tabaci (Gennadium, Hemiptera) causes severe damage to cassava plants through excessive feeding on leaves and transmitting viruses, such as African cassava mosaic virus (ACMV), East African cassava mosaic virus (EACMV), and ipomoviruses that cause cassava brown streak disease. Currently, little is known about the molecular diversity and distribution of whitefly species in the major cassava-growing zones of Nigeria. This study aimed to address the knowledge gap by assessing the genetic diversity, distribution, and associated cassava mosaic begomoviruses (CMBs) in whiteflies across South West and North Central, Nigeria. Whitefly samples were systematically collected from cassava plants during georeferenced epidemiological surveys in 2017, 2020, and 2022. The samples were genotyped using the mitochondrial cytochrome oxidase I (mtCOI) marker, and CMBs were detected by PCR with virus-specific primers. Phylogenetic analyses revealed four distinct genetic groups of B. tabaci: Sub-Saharan Africa 1 (SSA1; 84.8%), SSA2 (1.4%), SSA3 (13.1%), and Mediterranean (MED) (0.7%). The SSA1 group was the predominant and most widely distributed genotype across the surveyed zones, with three subgroups identified: SSA1-SG1, SSA1-SG3, and SSA1-SG5. The second most frequently identified genotype, SSA3, was restricted to the North Central zone, along with the SSA2 group, which was only identified in two North Central states (Niger and Plateau). African cassava mosaic virus (ACMV) was detected in SSA1-SG1, SSA1-SG5, and SSA3, whereas EACMV was found in only the SSA1-SG3. The findings of this study will aid in developing better whitefly management strategies to reduce the impact of CMD on cassava production in Nigeria.
Self-Rated Health and Mortality Among Older Adults in Israel: A Comparison Between Jewish and Arab Populations
Authors: Shafran Itamar , Benyamini Yael , Keinan-Boker Lital , Gerber Yariv
Published: November 2024

Background: Self-rated health (SRH) has been shown to predict mortality across a lifespan. However, its predictive value might differ between populations. We compared the association between SRH and mortality in Israeli Jewish and Arab older adults (65+). Methods: A prospective cohort study was conducted among Jewish (n = 1463) and Arab (n = 298) participants in the first National Health and Nutrition Survey of Older Adults (2005–2006). SRH was measured on a four-point scale. Mortality data were available from baseline (2005–2006) through 2019. A survival analysis was performed using Cox models. Results: Mean baseline age (SD) was 75 (6) years among Jewish participants (54% women) and 72 (5) years among Arab participants (50% women). Jewish participants were more likely to rate their health as not good (35% vs. 29%) or poor (11% vs. 8%) than Arab participants (p = 0.01). During a median follow-up of 13.3 years, 896 deaths occurred; 744 in the Jewish group (mean age [SD] 77.8 [6.6] years) and 152 in the Arab group (mean age [SD] 74.0 [5.2] years). The age- and sex-adjusted hazard ratio (HR) for mortality in the Arab vs. Jewish participants was 1.33 (95% CI: 1.12–1.60). Mortality risk increased with declining SRH, with multivariable-adjusted HRs in the lowest vs. most-favorable SRH categories of 2.46 (95% CI: 1.66–3.63) in the Jewish sample and 2.60 (95% CI: 0.98–6.93) in the Arab sample. Conclusions: Although Jewish participants reported poorer SRH, their survival rate was better than Arab participants. Lower SRH was consistently and strongly associated with higher mortality in both groups in a dose–response manner.