bluuebunny/crossref_metadata_2025 huggingface dataset:
Multifaceted Aspects of Dysfunctional Myelopoiesis in Cancer and Therapeutic Perspectives with Focus on HCC
Authors: Arleo Andrea , Montagner Annapaola , Giovannini Catia , Suzzi Fabrizia , Piscaglia Fabio , Gramantieri Laura
Published: November 2024

Myelopoiesis provides for the formation and continued renewal of cells belonging primarily to the innate immune system. It is a highly plastic process that secures the response to external and internal stimuli to face acute and changing needs. Infections and chronic diseases including cancer can modulate it by producing several factors, impacting proliferation and differentiation programs. While the lymphocytic compartment has attracted major attention due to the role of adaptive immunity in anticancer immune response, in recent years, research has found convincing evidence that confirms the importance of innate immunity and the key function played by emergency myelopoiesis. Due to cancer’s ability to manipulate myelopoiesis to its own advantage, the purpose of this review is to outline myelopoiesis processes within the tumor microenvironment and suggest possible therapeutic lines of research to restore the physiological functioning of the host’s immune system, with a special outlook on hepatocellular carcinoma (HCC).
Repurposed Drugs and Plant-Derived Natural Products as Potential Host-Directed Therapeutic Candidates for Tuberculosis
Authors: Raqib Rubhana , Sarker Protim
Published: November 2024

Tuberculosis (TB) is one of the leading causes of death due to infectious disease. It is a treatable disease; however, conventional treatment requires a lengthy treatment regimen with severe side effects, resulting in poor compliance among TB patients. Intermittent drug use, the non-compliance of patients, and prescription errors, among other factors, have led to the emergence of multidrug-resistant TB, while the mismanagement of multidrug-resistant TB (MDR-TB) has eventually led to the development of extensively drug-resistant tuberculosis (XDR-TB). Thus, there is an urgent need for new drug development, but due to the enormous expenses and time required (up to 20 years) for new drug research and development, new therapeutic approaches to TB are required. Host-directed therapies (HDT) could be a most attractive strategy, as they target the host defense processes instead of the microbe and thereby may prevent the alarming rise of MDR- and XDR-TB. This paper reviews the progress in HDT for the treatment of TB using repurposed drugs which have been investigated in clinical trials (completed or ongoing) and plant-derived natural products that are in clinical or preclinical trial stages. Additionally, this review describes the existing challenges to the development and future research directions in the implementation of HDT.
Effect of Ultra-High Pressure Homogenisation (UHPH) on the Co-Inoculation of Lachancea thermotolerans and Metschnikowia pulcherrima in Tempranillo Must
Authors: Vaquero Cristian , Escott Carlos , Loira Iris , López Carmen , González Carmen , Fresno Juan Manuel Del , Guamis Buenaventura , Morata Antonio
Published: November 2024

The utilisation of non-Saccharomyces yeasts in co-inoculation and non-thermal technologies for must sterilisation is becoming increasingly prevalent due to their notable utility and potential. This new approach optimises the fermentation process and contributes to facilitating the production of wines with distinctive characteristics, improving their stability, and without organoleptic repercussions. Two trials were conducted concurrently, designated as A and B, using the same Tempranillo red must. In each trial, UHPH-treated and untreated must (serving as the control) were compared. The non-Saccharomyces yeasts (Lachancea thermotolerans and Metschnikowia pulcherrima) were identical in both trials, and fermentations were terminated by a Saccharomyces cerevisiae inoculated after 7 days (ternary fermentation). In Trial A, different percentages of the initial inoculum were employed with respect to the total volume that must be fermented, with the objective of evaluating the influence and competitiveness between yeasts. Trial B was designed to investigate the impact of two nutrients that provide vitamins, energy, and protection from oxidative stress on the development of these yeasts and their metabolic expression. Microbiological analysis and measurements of oenological parameters were carried out, acidification was assessed, volatile compounds were analysed, and the colour spectrum was measured by spectrophotometry. It was observed in both trials that the prevalence of Lachancea thermotolerans (Lt) was longer than that of Metschnikowia pulcherrima (Mp) and that the use of quercetin + thiamine had a positive effect on yeast growth. Furthermore, the combination of Lt and Mp yeasts demonstrated remarkable synergy, resulting in the production of a substantial quantity of lactic acid (>5 g/L). With regard to aroma compounds, the UHPH must have exhibited a nearly twofold increase in ethyl lactate. Additionally, the total polyphenol index (TPI) was observed to be 8–10% higher in wines derived from UHPH musts, indicating that this technology may potentially safeguard against oxidation.
Visfatin Enhances RANKL-Induced Osteoclastogenesis In Vitro: Synergistic Interactions and Its Role as a Mediator in Osteoclast Differentiation and Activation
Authors: Ok Chang Youp , Kwon Ryuk Jun , Jang Hye-Ock , Bae Moon-Kyoung , Bae Soo-Kyung
Published: November 2024

Visfatin, an adipokine secreted by various cell types, plays multifaceted pathophysiological roles in inflammatory conditions, including obesity, which is closely associated with osteoclastogenesis, a key process underlying bone loss and increased osteoporosis (OP) risk. However, the role of visfatin in osteoclastogenesis remains controversial. This study was conducted to investigate the effects of visfatin on receptor activator of nuclear factor kappa-B ligand (RANKL)-induced osteoclast differentiation from precursor cells in vitro. Our results demonstrated that although visfatin exhibited a modest osteoclast-inductive effect relative to that of RANKL, co-stimulation of bone marrow-derived macrophages (BMDMs) with visfatin and RANKL led to significantly enhanced osteoclast differentiation and activation compared to individual stimulation. Neutralization of visfatin activity using blocking antibodies before differentiation markedly suppressed RANKL-induced osteoclastogenesis, as evidenced by a near-complete absence of tartrate-resistant acid phosphatase-positive multinucleated osteoclasts, decreased levels of nuclear factor of activated T cells cytoplasmic 1 and osteoclast-specific proteins, inhibition of nuclear factor-κB and mitogen-activated protein kinase signaling pathways, and a decrease in resorption pit formation. Our findings underscore the critical role of visfatin in RANKL-induced osteoclastogenesis in vitro and highlight the RANKL/visfatin signaling axis as a potential therapeutic target for destructive bone loss-related diseases.
Unlocking Testosterone Production by Biotransformation: Engineering a Fungal Model of Aspergillus nidulans Strain Deficient in Steroid 11α-Hydroxylase Activity and Expressing 17β-Hydroxysteroid Dehydrogenase Enzyme as Proof of Concept
Authors: Ortega-de los Ríos Lidia , Getino Luis , Galán Beatriz , García José Luis , Luengo José M. , Chamizo-Ampudia Alejandro , Fernández-Cañón José M.
Published: November 2024

Testosterone holds significant medical and economic importance, with the global market for testosterone replacement therapies valued at approximately USD 1.9 billion in 2023. This hormone is essential for the development and maintenance of male sexual characteristics as well as bone and muscle health. It plays a key role in conditions such as hypogonadism, muscle disorders, and andropause. However, the industrial production of testosterone often involves complex chemical processes that result in low yields, high costs, and environmental damage. Microbial biotransformation of steroids presents an eco-friendly alternative to traditional chemical synthesis. A knockout strain of Aspergillus nidulans deficient in steroid 11α-hydroxylase activity was developed, rendering it incapable of hydroxylating androstenedione, progesterone, and testosterone. In these strains, two newly identified CYP450 enzymes, CYP68L1 from A. nidulans and CYP68L8 from Aspergillus ochraceus, were expressed to confirm their roles as steroid 11α-hydroxylases of androstenedione, progesterone, and testosterone. The availability of these 11α-hydroxylases represents significant progress toward achieving efficient single-step steroid fermentation. Furthermore, the A. nidulans knockout strain serves as an effective model for studying the conversion of androstenedione to testosterone upon the expression of the enzyme 17β-hydroxysteroid dehydrogenase, due to its inability to hydroxylate testosterone.
Advancements in Elastography for Evaluating Fibrosis in Renal Transplants: Current Perspectives
Authors: Distefano Giulio , Granata Salvatore , Morale Walter , Granata Antonio
Published: November 2024

Renal fibrosis is a leading cause of chronic allograft nephropathy. While renal biopsy remains the gold standard for diagnosing fibrosis, it is an invasive procedure with potential for severe complications. Elastography, an emerging ultrasound imaging technique, appears to be a valuable tool for quantifying tissue stiffness, which correlates with fibrosis. Indeed, numerous studies have demonstrated a strong correlation between increased tissue stiffness, measured by elastography, and the degree of fibrosis detected in biopsy. Over the past few years, various elastography techniques have been evaluated, including strain elastography, shear wave elastography, and acoustic radiation force impulse. However, challenges such as operator dependence, tissue heterogeneity, and the lack of standardized protocols persist. Despite these limitations, elastography presents itself as a valuable tool for the non-invasive monitoring of renal transplant function and could facilitate the early detection of fibrosis, allowing for timely interventions. Future research should focus on standardizing acquisition protocols, establishing robust reference values, and exploring the clinical utility of elastography in guiding therapeutic decisions. The aim of this review is to explore the current state of elastography in the assessment of fibrosis in renal transplantation.
Investigating the Cytotoxic Effects of Artemisia absinthium Extract on Oral Carcinoma Cell Line
Authors: Tsamesidis Ioannis , Papadimitriou-Tsantarliotou Aliki , Christodoulou Athanasios , Amanatidou Dionysia , Avgeros Chrysostomos , Stalika Evangelia , Bousnaki Maria , Michailidou Georgia , Beketova Anastasia , Eleftheriou Phaedra , Bikiaris Dimitrios N. , Vizirianakis Ioannis S. , Kontonasaki Eleana
Published: November 2024

Background: Artemisia absinthium (A. absinthium), commonly known as absinthe, is a perennial plant with distinctive broad ovate pointed leaves of a silvery-gray color, reaching a height of 1.5 m. The utilization of this herb as a source of natural compounds and as the primary ingredient in the alcoholic beverage absinthe has recently seen a resurgence following a period of prohibition. This study investigates the biological effects of A. absinthium extract on healthy human periodontal ligament stem cells (hPDLSCs) and the human tongue squamous carcinoma cell line (HSC-3). Methods: A. absinthium element characterization was performed using High-Performance Liquid Chromatography (HPLC) and the Folin method. Alizarin assays evaluated the osteogenic capacity of human periodontal ligament cells (hPDLSCs) while CCK-8 and MTT determined the cytotoxicity of the extract against HSC-3 and hPDLSCs. Results: High artemisinin levels were detected, revealing a concentration of 89 μM (25 μg/mL). The total phenolic concentration of the extract was 1.07 mM +/− 0.11. The in vitro cytotoxicity assays revealed the biocompatible profile of the Artemisia extract in hPDLSCs without exhibiting any osteogenic potential. After 24 h of incubation with HSC-3, Artemisia extract (10 µM) decreased cancer cell viability by 99% and artemisinin by 64%, and increased the expression of Caspase 3 and 9 almost six and two times, respectively. Conclusions: In summary, our preliminary findings suggest that A. absinthium extract exhibits a toxic effect against carcinoma cell lines without affecting healthy human periodontal ligament stem cells.
Polymeric Nanoparticles Potentiate the Anticancer Activity of Novel PI3Kα Inhibitors Against Triple-Negative Breast Cancer Cells
Authors: Sunoqrot Suhair , Abusulieh Samah , Sabbah Dima
Published: November 2024

Background: Dysregulation in phosphoinositide-3-kinase alpha (PI3Kα) signaling is implicated in the development of various cancers, including triple-negative breast cancer (TNBC). We have previously synthesized a series of N-phenyl-6-chloro-4-hydroxy-2-quinolone-3-carboxamides as targeted inhibitors against PI3Kα. Herein, two drug candidates, R7 and R11, were selected to be further investigated as a nanoparticle (NP) formulation against TNBC. Methods: R7 and R11 were entrapped in D-α-tocopheryl poly(ethylene glycol) 1000 succinate (TPGS) polymeric NPs by nanoprecipitation. Following their physicochemical characterization, the anticancer activity of the compounds and their NP formulations was evaluated in the TNBC cell line MDA-MB-231 by conducting viability, uptake, and apoptosis assays, as well as penetration assays in a multicellular tumor spheroid model. Results: The NPs exhibited a particle size of 100–200 nm, excellent drug loading efficiencies, and sustained release under physiologic conditions. Viability assays revealed superior potency for the NP formulations, with IC50 values of 20 µM and 30 µM for R7- and R11-loaded NPs, respectively, compared to the free compounds, which exhibited IC50 values of 280 µM and 290 µM for R7 and R11, respectively. These results were attributed to the inherent antiproliferative activity of TPGS, as evidenced by the cytotoxicity of the drug-free NPs, as well as the enhanced cellular uptake enabled by the NP vehicle, as demonstrated by fluorescence microscopy imaging and flow cytometry measurements. Further investigations showed that the NPs promoted apoptosis via a mitochondrial-dependent pathway that involved the activation of proapoptotic caspases. Moreover, the NP formulations enhanced the penetration ability of the free compounds in multicellular tumor spheroids, causing a time- and concentration-dependent disruption of the spheroids. Conclusions: Our findings highlight the important role nanotechnology can play in improving the biopharmaceutical properties of new drug candidates and facilitating their in vivo translation.
Does Bisphenol A (BPA) Exposure Cause Human Diseases?
Authors: Stein T. Peter
Published: November 2024

Background: Autism spectrum disorders (ASDs), attention-deficit disorder (ADHD), Parkinson’s disease (PD), polycystic ovary disease (PCOS), and Alzheimer’s disease (AD) have all been linked to exposure to bisphenol A (BPA). Methods: This paper is a review and discussion of the published literature. Results: Animal studies have shown BPA to be a broad-spectrum endocrine disruptor. BPA is metabolized via the glucuronidation pathway, which involves the addition of glucose to the target molecule, and is catalyzed by uridine 5′-diphospho-glucuronosyltransferases (UGTs). Evidence of compromised glucuronidation has been found for ASD, DHD, PD, and PCOS. Genetic polymorphisms that alter the catalytic activity of the UGTs and efflux transporters involved are common. There are two ways to interpret the findings of associations between BPA glucuronidation efficiency and disease, a ‘direct’ pathway and an ‘indirect’ pathway. With the ‘direct’ pathway, free BPA is the actual causative agent. Compromised BPA detoxification leads to higher concentrations of free BPA in vulnerable tissues. Decreased BPA detoxification leads to increased exposure of vulnerable tissues to free BPA, where it can function as an endocrine disruptor. With the ‘indirect’ pathway, BPA is not the causative agent. BPA serves as a marker for the decreased glucuronidation efficiency of another unknown compound of endogenous origin detoxified by a similar combination of UGTs and efflux transporters as BPA. It is this compound(s), acting as an endocrine disruptor, that leads to a metabolic environment that favors disease development over an extended time period. Conclusion: A review of the existing literature supports the indirect ‘marker’ hypothesis over the ‘direct’ hypothesis.
Predictors of Successful Testicular Sperm Extraction: A New Era for Men with Non-Obstructive Azoospermia
Authors: Kaltsas Aris , Stavros Sofoklis , Kratiras Zisis , Zikopoulos Athanasios , Machairiotis Nikolaos , Potiris Anastasios , Dimitriadis Fotios , Sofikitis Nikolaos , Chrisofos Michael , Zachariou Athanasios
Published: November 2024

Background/Objectives: Non-obstructive azoospermia (NOA) is a severe form of male infertility characterized by the absence of sperm in the ejaculate due to impaired spermatogenesis. Testicular sperm extraction (TESE) combined with intracytoplasmic sperm injection is the primary treatment, but success rates are unpredictable, causing significant emotional and financial burdens. Traditional clinical and hormonal predictors have shown inconsistent reliability. This review aims to evaluate current and emerging non-invasive preoperative predictors of successful sperm retrieval in men with NOA, highlighting promising biomarkers and their potential clinical applications. Methods: A comprehensive literature review was conducted, examining studies on clinical and hormonal factors, imaging techniques, molecular biology biomarkers, and genetic testing related to TESE outcomes in NOA patients. The potential role of artificial intelligence and machine learning in enhancing predictive models was also explored. Results: Traditional predictors such as patient age, body mass index, infertility duration, testicular volume, and serum hormone levels (follicle-stimulating hormone, luteinizing hormone, inhibin B) have limited predictive value for TESE success. Emerging non-invasive biomarkers—including anti-Müllerian hormone levels, inhibin B to anti-Müllerian hormone ratio, specific microRNAs, long non-coding RNAs, circular RNAs, and germ-cell-specific proteins like TEX101—show promise in predicting successful sperm retrieval. Advanced imaging techniques like high-frequency ultrasound and functional magnetic resonance imaging offer potential but require further validation. Integrating molecular biomarkers with artificial intelligence and machine learning algorithms may enhance predictive accuracy. Conclusions: Predicting TESE outcomes in men with NOA remains challenging using conventional clinical and hormonal parameters. Emerging non-invasive biomarkers offer significant potential to improve predictive models but require validation through large-scale studies. Incorporating artificial intelligence and machine learning could further refine predictive accuracy, aiding clinical decision-making and improving patient counseling and treatment strategies in NOA.
Levo-Stepholidine as a Potential Cognitive Enhancer: Insights into Executive Function and Memory Improvements
Authors: Hu Zhengwei , Zhu Xueqing , Liang Yirui , Zhang Yuqiu , Zheng Ping , Zhang Xuehan
Published: November 2024

Background/Objectives: Levo-Stepholidine (l-SPD), a compound extracted from Chinese herbs, has the potential to treat psychotic disorders where cognitive deficits are a critical challenge. L-SPD displays a D1R agonism/D2R antagonism pharmacological profile, and its effect on cognitive function is still vague and lacks comprehensive study. Here, we investigated the impact of l-SPD on two core indexes of executive function, working memory and response inhibition, and learning and memory. Methods: Using a delayed alternation T-maze task (DAT), we investigated the impact of l-SPD on working memory, evaluated its effect on response inhibition using the stop-signal task (SST), and assessed the impact on learning and memory using trace fear conditioning in Sprague-Dawley rats. We further evaluated its effects on prefrontal glutamate receptor expression using western blot. Results: Rats receiving l-SPD made fewer errors in the T-maze, exhibited faster stop action in response to the stop signal, and showed longer-lasting memory retention. Molecular mechanism investigations reveal that l-SPD upregulates the expression of prefrontal glutamate receptors. These results demonstrate that l-SPD improves executive function and memory. Conclusions: Here, we show the enhancement effect of l-SPD on cognitive function, which provides essential implicants for the treatment of cognitive deficits, which is a critical unmet need in psychiatric care.
Modeling the Impact of Extracellular Vesicle Cargoes in the Diagnosis of Coronary Artery Disease
Authors: McGranaghan Peter , Pallinger Éva , Fekete Nóra , Maurovich-Horvát Pál , Drobni Zsófia , Merkely Béla , Menna Luigi , Buzás Edit I. , Hegyesi Hargita
Published: November 2024

Objectives: We aimed to assess the relationship among circulating extracellular vesicles (EVs), hypoxia-related proteins, and the conventional risk factors of life-threatening coronary artery disease (CAD) to find more precise novel biomarkers. Methods: Patients were categorized based on coronary CT angiography. Patients with a Segment Involvement Score > 5 were identified as CAD patients. Individuals with a Segment Involvement Score < 5 were considered control subjects. The characterization of EVs and analysis of the plasma concentration of growth differentiation factor-15 were performed using multicolor or bead-based flow cytometry. The plasma protein levels of glycogen phosphorylase, muscle form, clusterin, and carboxypeptidase N subunit 1 were determined using an enzyme-linked immunosorbent assay. Multiple logistic regression was used to determine the association of the biomarkers with the CAD outcome after accounting for established risk factors. The analysis was built in three steps: first, we included the basic clinical and laboratory variables (Model 1), then we integrated the plasma protein values (Model 2), and finally, we complemented it with the circulating EV pattern (Model 3). To assess the discrimination value of the models, an area under (AUC) the receiver operating curve was calculated and compared across the three models. Results: The area under the curve (AUC) values were 0.68, 0.77, and 0.84 in Models 1, 2, and 3, respectively. The variables with the greatest impact on the AUC values were hemoglobin (0.2 (0.16–0.26)) in Model 1, carboxypeptidase N subunit 1 (0.12 (0.09–0.14)) in Model 2, and circulating CD41+/CD61+ EVs (0.31 (0.15–0.5)) in Model 3. A correlation analysis showed a significant impact of circulating CD41+/CD61+ platelet-derived EVs (p = 0.03, r = −0.4176) in Model 3. Conclusions: Based on our results, the circulating EV profile can be used as a supportive biomarker, along with the conventional laboratory markers of CAD, and it enables a more sensitive, non-invasive diagnostic analysis of CAD.
Exosomes as Regulators of Macrophages in Cardiovascular Diseases
Authors: Soriano-Cruz Marina , Vázquez-González Wendy Guadalupe , Molina-Vargas Paula , Faustino-Trejo Alejandro , Chávez-Rueda Adriana Karina , Legorreta-Haquet María Victoria , Aguilar-Ruíz Sergio Roberto , Chávez-Sánchez Luis
Published: November 2024

Macrophages in atherosclerosis and myocardial infarction have diverse functions, such as foam cell formation and the induction of an inflammatory response that promotes ventricular dysfunction in the heart. Exosomes are small vesicles released by many different types of cells, such as macrophages, dendritic cells, platelets and other immunoregulatory cells, that facilitate communication with other cells, modulating the biological functions of recipient cells. Exosomes offer a novel therapeutic approach for the polarization of macrophages involved in cardiovascular diseases. In this review, we provide an overview of the biological role of macrophages in atherosclerosis and myocardial infarction and the effects of exosomes on these cells as therapeutic agents in the disease.
Dynamics of Biomarkers in COVID-19 Patients Treated with Anakinra
Authors: Yordanova Ralitsa , Strashimirov Dimitar , Grozdeva Rusina , Ivanov Daniel , Trifonova Ivelina , Yancheva Nina , Tcherveniakova Tatiana
Published: November 2024

Background: SARS-CoV-2 can trigger hyperinflammation, leading to severe COVID-19, presenting with pneumonia, acute respiratory distress syndrome (ARDS), and multiple organ failure. Specific biomarkers like leukocytes, CRP, NLR, AST, LDH, D-dimer, ferritin, and IL-6 are associated with disease severity. Anakinra, an IL-1 receptor antagonist, has been proposed to mitigate hyperinflammation, but its clinical efficacy remains uncertain. This study aimed to evaluate the effect of Anakinra on inflammatory biomarkers, oxygenation status, and survival outcomes in hospitalized patients with moderate to severe COVID-19 (according to the National Institute of Health severity scale), compared to standard treatment. Methods: A retrospective analysis included 65 patients (mean age 75.51 ± 9.54 years; 58.5% male, 41.5% female) hospitalized with moderate to severe COVID-19. Patients were divided into two groups: a control group receiving standard treatment (n = 24) and a target group treated with Anakinra (n = 41). Biomarkers and oxygenation status were assessed on Days 0, 3, and 7. Statistical analyses compared the groups for changes in leukocytes, NLR, CRP, AST, LDH, D-dimer, ferritin, and IL-6. Results: Anakinra treatment was associated with significant reductions in leukocytes, NLR, D-dimer, ferritin, IL-6, and CRP by Days 3 and 7. Improvements in oxygenation status were observed, although no survival benefits were noted. The control group showed no significant biomarker changes except for AST and LDH on Day 7. Conclusions: Anakinra demonstrated favorable effects on biomarkers and oxygenation in moderate to severe COVID-19 but did not improve survival. Further studies are needed to validate these findings.
Buffered 4% Articaine Reduces Pain and Enhances Anesthesia in Maxillary Third Molar Extractions: A Randomized, Double-Blind Split-Mouth Study
Authors: Staedt Henning , Palarie Victor , Heimes Diana , Ottl Peter , Fan Shengchi , Kämmerer Peer W.
Published: November 2024

Background/Objectives: Buffered local anesthetics are suggested to enhance patient comfort and anesthetic efficacy during dental procedures. However, their advantages over non-buffered solutions in maxillary third molar extractions remain under-investigated. This prospective, randomized, double-blind, split-mouth study aimed to compare the efficacy of buffered versus non-buffered 4% articaine in terms of pain, anesthetic onset, and the duration of anesthesia during maxillary third molar extractions. Methods: Each participant randomly received two buccal infiltrations on two single appointments to extract maxillary third molars: one with 4% articaine buffered with sodium bicarbonate and the other with non-buffered 4% articaine. Pain during injection, post-extraction pain, onset time, and the duration of anesthesia were assessed using a visual analog scale (VAS; 0–10). Results: Fifty adult participants (23 males and 27 females) with a mean age of 21.6 years were included in the study. Buffered 4% articaine significantly reduced injection pain (mean VAS: 3.12 ± 1.36 vs. 4.2 ± 0.3, p = 0.0001) and post-extraction pain (mean VAS: 4.4 ± 1.75 vs. 5.76 ± 1.78, p = 0.0002) compared to non-buffered articaine. Additionally, buffered articaine demonstrated a faster onset of anesthesia (mean time (seconds): 85.92 ± 27.37 vs. 126.86 ± 33.15, p < 0.0001) and a longer duration of anesthesia (mean duration (minutes): 70.4 ± 13.64 vs. 51.4 ± 7.2, p < 0.0001). Regarding gender’s factor, the comparisons revealed no statistically significant differences (p < 0.05) in pain perception between males and females for either injection pain or post-extraction pain. Conclusions: Buffered 4% articaine provides superior anesthetic efficacy compared to non-buffered 4% articaine, enhancing patient comfort by reducing pain, accelerating onset, and prolonging the duration of anesthesia during maxillary third molar extractions.
All-Printed Microfluidic–Electrochemical Devices for Glucose Detection
Authors: Wang Zexi , Zhang Zhiyi , Xu Changqing
Published: November 2024

Free-standing capillary microfluidic channels were directly printed over printed electrodes using a particle/polymer mixture to fabricate microfluidic–electrochemical devices on polyethylene terephthalate (PET) films. Printed devices with no electrode modification were demonstrated to have the lowest limit of detection (LOD) of 7 μM for sensing glucose. The study shows that both a low polymer concentration in the mixture for printing the microfluidic channels and surface modification of the printed microfluidic channels using 3-aminopropyltrimethoxysilane can substantially boost the device’s performance. It also shows that both device structure and enzyme doping level of the devices play an important role in ensuring the best performance of the devices under various testing conditions.
A Review Study on Molecularly Imprinting Surface Plasmon Resonance Sensors for Food Analysis
Authors: Bankoğlu Yola Bahar , Özdemir Neslihan , Yola Mehmet Lütfi
Published: November 2024

Surface plasmon resonance (SPR) sensors have emerged as a powerful tool in biosensing applications due to their ability to provide sensitive and real-time detection of chemical and biological analytes. This review focuses on the development and application of molecularly imprinted polymer (MIP)-based SPR sensors for food analysis. By combining the high selectivity of molecular imprinting techniques with the sensitivity of SPR, these sensors offer significant advantages in detecting food contaminants and other target molecules. The article covers the basic principles of SPR, the role of MIPs in sensor specificity, recent advancements in this sensor development, and food applications. Furthermore, the potential for these sensors to contribute to food safety and quality control was explored, showcasing their adaptability to complex food matrices. The review concluded the future directions and challenges of SPR-MIP sensors in food analysis, emphasizing their promise in achieving high-throughput, cost-effective, and portable sensing solutions.
Non-Invasive Monitoring of Cerebral Edema Using Ultrasonic Echo Signal Features and Machine Learning
Authors: Yang Shuang , Yang Yuanbo , Zhou Yufeng
Published: November 2024

Objectives: Cerebral edema, a prevalent consequence of brain injury, is associated with significant mortality and disability. Timely diagnosis and monitoring are crucial for patient prognosis. There is a pressing clinical demand for a real-time, non-invasive cerebral edema monitoring method. Ultrasound methods are prime candidates for such investigations due to their non-invasive nature. Methods: Acute cerebral edema was introduced in rats by permanently occluding the left middle cerebral artery (MCA). Ultrasonic echo signals were collected at nine time points over a 24 h period to extract features from both the time and frequency domains. Concurrently, histomorphological changes were examined. We utilized support vector machine (SVM), logistic regression (LogR), decision tree (DT), and random forest (RF) algorithms for classifying cerebral edema types, and SVM, RF, linear regression (LR), and feedforward neural network (FNNs) for predicting the cerebral infarction volume ratio. Results: The integration of 16 ultrasonic features associated with cerebral edema development with the RF model enabled effective classification of cerebral edema types, with a high accuracy rate of 97.9%. Additionally, it provided an accurate prediction of the cerebral infarction volume ratio, with an R2 value of 0.8814. Conclusions: Our proposed strategy classifies cerebral edema and predicts the cerebral infarction volume ratio with satisfactory precision. The fusion of ultrasound echo features with machine learning presents a promising non-invasive approach for the monitoring of cerebral edema.
Efficient and Accurate Brain Tumor Classification Using Hybrid MobileNetV2–Support Vector Machine for Magnetic Resonance Imaging Diagnostics in Neoplasms
Authors: Adamu Mohammed Jajere , Kawuwa Halima Bello , Qiang Li , Nyatega Charles Okanda , Younis Ayesha , Fahad Muhammad , Dauya Salisu Samaila
Published: November 2024

Background/Objectives: Magnetic Resonance Imaging (MRI) plays a vital role in brain tumor diagnosis by providing clear visualization of soft tissues without the use of ionizing radiation. Given the increasing incidence of brain tumors, there is an urgent need for reliable diagnostic tools, as misdiagnoses can lead to harmful treatment decisions and poor outcomes. While machine learning has significantly advanced medical diagnostics, achieving both high accuracy and computational efficiency remains a critical challenge. Methods: This study proposes a hybrid model that integrates MobileNetV2 for feature extraction with a Support Vector Machine (SVM) classifier for the classification of brain tumors. The model was trained and validated using the Kaggle MRI brain tumor dataset, which includes 7023 images categorized into four types: glioma, meningioma, pituitary tumor, and no tumor. MobileNetV2’s efficient architecture was leveraged for feature extraction, and SVM was used to enhance classification accuracy. Results: The proposed hybrid model showed excellent results, achieving Area Under the Curve (AUC) scores of 0.99 for glioma, 0.97 for meningioma, and 1.0 for both pituitary tumors and the no tumor class. These findings highlight that the MobileNetV2-SVM hybrid not only improves classification accuracy but also reduces computational overhead, making it suitable for broader clinical use. Conclusions: The MobileNetV2-SVM hybrid model demonstrates substantial potential for enhancing brain tumor diagnostics by offering a balance of precision and computational efficiency. Its ability to maintain high accuracy while operating efficiently could lead to better outcomes in medical practice, particularly in resource limited settings.
Construction of a Dataset for All Expressed Transcripts for Alzheimer’s Disease Research
Authors: Huang Zhenyu , Shi Bocheng , Mu Xuechen , Qiao Siyu , Xiao Gangyi , Wang Yan , Xu Ying
Published: November 2024

Accurate identification and functional annotation of splicing isoforms and non-coding RNAs (lncRNAs), alongside full-length protein-encoding transcripts, are critical for understanding gene (mis)regulation and metabolic reprogramming in Alzheimer’s disease (AD). This study aims to provide a comprehensive and accurate transcriptome resource to improve existing AD transcript databases. Background/Objectives: Gene mis-regulation and metabolic reprogramming play a key role in AD, yet existing transcript databases lack accurate and comprehensive identification of splicing isoforms and lncRNAs. This study aims to generate a refined transcriptome dataset, expanding the understanding of AD onset and progression. Methods: Publicly available RNA-seq data from pre-AD and AD tissues were utilized. Advanced bioinformatics tools were applied to assemble and annotate full-length transcripts, including splicing isoforms and lncRNAs, with an emphasis on correcting errors and enhancing annotation accuracy. Results: A significantly improved transcriptome dataset was generated, which includes detailed annotations of splicing isoforms and lncRNAs. This dataset expands the scope of existing AD transcript databases and provides new insights into the molecular mechanisms underlying AD. The findings demonstrate that the refined dataset captures more relevant details about AD progression compared to publicly available data. Conclusions: The newly developed transcriptome resource and the associated analysis tools offer a valuable contribution to AD research, providing deeper insights into the disease’s molecular mechanisms. This work supports future research into gene regulation and metabolic reprogramming in AD and serves as a foundation for exploring novel therapeutic targets.
Unraveling the Relationship Between English Learning Burnout and Academic Achievement: The Mediating Role of English Learning Resilience
Authors: Liu Honggang , Jin Ling , Han Xiaoyu , Wang Haoyue
Published: November 2024

Although burgeoning research has been conducted on the role of negative emotions (e.g., English learning burnout) in affecting students’ academic achievement, there are limited studies on the intricate working mechanism between these two factors. Academic resilience is an adaptive response to academic adversity and might therefore offer protection against negative emotions (e.g., English learning burnout). Hence, this study focused on the complex interplay among students’ English learning burnout, English learning resilience, and academic achievement. A total of 334 senior high school students were recruited in the current study. The findings displayed that students’ English learning resilience mediated the relationship between English learning burnout and English academic achievement. This study may generate suggestions and implications for English teaching and learning.
Nuances of an In-Between Space of Learning Through Auditory Approaches in Early Piano Instruction
Authors: Pang Samuel E. , Kan Rebecca Y. P.
Published: November 2024

Musical experiences in early piano instruction tend to be led by visual-based methods, limiting opportunities to develop aural abilities for children to understand music. This study examines the exploratory behaviour of music listening through auditory approaches that support visual-based methods to foster musical comprehension. Drawing from case studies of young music learners between the ages of 7 and 8, qualitative data were collected through lesson observations, interviews, game-based assessments, and performance evaluations of a prepared piece. Positive instances of recall, calibration, association, and empowerment indicated how participants perceived and strengthened the association of heard sounds. The findings further highlight the demanding cognitive ability needed to process visual elements in method books and how auditory approaches can relieve the attention to visual score-reading that enables students to better tune in to the coordination of hands with music. This discussion therefore opens the possibility for exploring how we may uncover nuanced differences in learning when we design teaching methods that straddle both auditory and visual approaches.
The Relationship Between School Organizational Climate and Teachers’ Organizational Citizenship Behaviors: The Mediating Role of Teaching Efficacy and Moderating Role of Optimistic Traits
Authors: Sun Wenmei , Liu Xubo , Liu Yiwen , Ding Sasa , Jiang Yan , Lv Ziyan
Published: November 2024

This study examined the relationship between school organizational climate and teachers’ organizational citizenship behavior, as well as the mediating role of teaching efficacy and the moderating role of optimistic traits. This study was based on social information processing theory, resource conservation theory, and the broaden-and-build theory of positive emotions. We conducted a comprehensive survey of 500 educators from Chinese primary and secondary schools using the Organizational Citizenship Behavior Questionnaire, School Organizational Climate Scale, Sense of Teaching Efficacy Scale, and Optimistic Traits Questionnaire as assessment tools. The results demonstrated that (1) school organizational climate significantly and positively predicted teachers’ organizational citizenship behaviors; (2) teaching efficacy partially mediated the relationship between school organizational climate and teachers’ organizational citizenship behaviors; and (3) optimistic traits moderated the second half of the mediation model in which school organizational climate influenced teachers’ organizational citizenship behaviors through teaching efficacy. Our findings indicated that school organizational climate was an important environmental factor affecting teachers’ organizational citizenship behaviors through their sense of teaching efficacy. Optimistic traits had an important protective effect on teachers’ organizational citizenship behaviors.
Aggression and the Big Five Personality Factors Among Fitness Practitioners and Pre-Workout Consumers
Authors: Cucui-Cozma Alexandru Stefan , Dehelean Liana , Bredicean Ana-Cristina , Papava Ion , Deverdics Izabela Edina , Daescu Ana-Maria Cristina , Negrea Cristian
Published: November 2024

Background: The use of pre-workout supplements has surged among fitness practitioners, with various ingredients purported to enhance performance and recovery. This study aims to explore the potential link between pre-workout supplement consumption and aggression, as well as the correlation between the Big Five personality traits and aggression levels. Methods: The sample comprised 62 male fitness practitioners aged 20–55 years, divided into two groups: 32 pre-workout consumers and 30 non-consumers. Participants were assessed using the Buss and Perry Aggression Questionnaire and the NEO Five-Factor Inventory (NEO-FFI). Results: The results indicated no statistically significant differences in aggression levels between the supplement users and the control group. However, notable personality differences were observed, with pre-workout users showing lower Neuroticism and higher Agreeableness and Conscientiousness compared to non-users. Correlation analyses revealed a significant positive relationship between Neuroticism and all forms of aggression, while Agreeableness and Conscientiousness were negatively correlated with aggression. Conclusions: These findings suggest that personality traits may play a more substantial role in moderating aggression among pre-workout users than the supplements themselves. Further research is needed to clarify the potential long-term effects of pre-workout supplementation on aggression and personality dynamics.
The Influence of Sand Pore Structure on Air Migration During Air-Injected Desaturation Process
Authors: Chen Yumin , Qin Chengzhao , Sarajpoor Saeed , Chen Runze , Han Yi , Wang Zijun
Published: November 2024

The air injection method serves as a liquefaction mitigation technique to improve the liquefaction resistance of the foundations by decreasing the degree of saturation. To investigate the desaturation effect of this technique in various soil strata of the foundation, thin plate model tests were conducted, considering the impacts of gradation and relative density, to visualize the air migration process and distribution. The findings reveal the following: (1) The air migration process, delineated by air injection parameters, comprises four distinct phases, with stages II and III notably influenced by the pore structure; (2) air migration is governed by the pore throat dimensions, particle arrangement, and connectivity within the pore structure, exhibiting two predominant patterns: channel flow, primarily driven by inertial forces, and chamber flow, predominantly influenced by viscous and capillary forces; (3) referring to the air injection port, the gas phase distribution within the sand samples is consistent in the horizontal direction but not in the vertical direction. The concentration area and uniformity of the gas phase distribution are controlled by the pore structure. These results suggest potential enhancements in the positioning of air injection ports within complex soil layers, as well as improvements in the construction process, both aimed at optimizing the desaturation effect.
Study on Flexural Capacity of UHPC-NC Composite Slab with Reinforced Truss in the Normal Section
Authors: Wang Xin , Wang Ruochen , Zhu Zhiyu , Wang Kun
Published: November 2024

Ultra-high-performance concrete (UHPC) exhibits significantly higher tensile strength compared to normal concrete (NC). In this paper, the application of UHPC to the precast base plate of composite slabs was proposed, leading to the development of a reinforced truss UHPC-NC composite slab. This approach effectively enhanced the crack resistance of the slab. A finite element model (FEM) for the reinforced truss UHPC-NC composite slab was developed based on the ABAQUS (2016) platform, using appropriate material constitutive relationships for UHPC, NC, and steel reinforcement. The validity of the model was verified through comparison with relevant test results. Subsequently, the effects of parameters such as the cross-sectional area of the upper and lower truss chords, the reinforcement ratio of the precast base plate, the strength grade of the UHPC base plate, and the thickness of the UHPC base plate on the flexural capacity of the UHPC-NC composite slab were investigated. Finally, the equations for calculating the flexural capacity of the UHPC-NC composite slab were proposed. It was found that increasing the cross-sectional area of the lower truss chord improved the flexural capacity and stiffness of such slabs to some extent, though ductility was slightly reduced. On the other hand, increasing the upper chord cross-sectional area had limited impact on the flexural performance. Increasing the reinforcement ratio of the longitudinal reinforcement in the precast base plate significantly enhanced the load-bearing capacity and stiffness but similarly reduced ductility. As the UHPC grade of the precast base plate increased, the cracking load, yield load, and ultimate load of the slab also increased. However, when the UHPC grade exceeded C120, the improvement in flexural capacity became less significant. With an increase in thickness of the precast UHPC base plate, cracking, yield, and ultimate loads also rose, but ductility decreased. When the thickness of UHPC exceeded 60 mm, the increase in flexural capacity became modest. The proposed equations for calculating the flexural capacity of the reinforced truss UHPC-NC composite slab in the normal section agreed well with simulation results, providing theoretical and numerical support for the design and analysis of UHPC-NC composite slabs.
Seismic Analysis of Non-Regular Structures Based on Fragility Curves: A Study on Reinforced Concrete Frames
Authors: Smiroldo Giovanni , Fasan Marco , Bedon Chiara
Published: November 2024

The seismic performance and expected structural damage in reinforced concrete (RC) frames, as in many others, is a critical aspect for design. In this study, a set of RC frames characterized by increasing in-plan and in-height non-regularity is specifically investigated. Four code-conforming three-dimensional (3D) buildings with varying regularity levels are numerically analyzed. Their seismic assessment is conducted by using unscaled real ground motion records (61 in total) and employing non-linear dynamic simulations within the Cloud Analysis framework. Three distinct intensity measures (IMs) are used to evaluate the impact of structural non-regularity on their seismic performance. Furthermore, fragility curves are preliminary derived based on conventional linear regression models and lognormal distribution. In contrast with the initial expectations and the typical results of non-linear dynamic analyses, the presented comparative results of the fragility curves show that the non-regularity level increase for the examined RC frames does not lead to progressively increasing fragility. Upon these considerations on the initial numerical findings, a re-evaluation of the methodology is performed using a reduced subset of ground motion records, in order to account for potential biases in their selection. Moreover, to uncover deeper insights into the unexpected outcomes, a logistic regression based on a maximum likelihood estimate is also employed to develop fragility curves. Comparative results are thus critically discussed, showing that the herein considered fragility development methods may lead to seismic assessment outcomes for code-conforming non-regular buildings that are in contrast with those of raw structural analyses. In fact, the considered building code design provisions seem to compensate non-regularity-induced torsional effects.