bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Sulfhydryl (Thiols) Groups in Oral and Periodontal Diseases
Authors: Cerkezi Sabetim , Nakova Marija , Gorgoski Icko , Ferati Kenan , Bexheti-Ferati Arberesha , Palermo Andrea , Inchingolo Alessio Danilo , Ferrante Laura , Inchingolo Angelo Michele , Inchingolo Francesco , Dipalma Gianna
Published: April 2024

Aim. The sulfhydryl (thiols) group of glutathione plays an important role in the neutralization of foreign organic compounds and the reduction in peroxides. The purpose of the study is to evaluate the concentration of sulfhydryl groups in the gingival tissue of healthy individuals and those with gingivitis or periodontitis, and to examine the differences between these groups. Material and methods. To assess the concentration of sulfhydryl groups (thiols) in the gingival tissue of healthy individuals and those with gingivitis or periodontitis, we used spectrophotometric analysis using dithionitrobenzoate (DTNB) as a reagent to measure the accessible sulfhydryl groups present in gingival tissue proteins. The sample was divided into three distinct groups: individuals with periodontal health, gingivitis, and periodontitis, and different indices were used to assess the periodontal status of the participants. Next, a statistical analysis was conducted to compare the concentrations of sulfhydryl groups among the different groups of patients. Conclusions. The results of this study showed significantly decreased levels of sulfhydryl (thiols) groups in gingival tissue from patients with gingivitis and periodontitis, compared with healthy people (control group). These results confirm the role of sulfhydryl (thiols) groups in defense against free radicals. They share a significant role in detoxification, signal transduction, apoptosis, and various other functions at the molecular level.
Circulating Fatty Acids Associate with Metabolic Changes in Adolescents Living with Obesity
Authors: Subošić Branko , Kotur-Stevuljević Jelena , Bogavac-Stanojević Nataša , Zdravković Vera , Ješić Maja , Kovačević Smiljka , Đuričić Ivana
Published: April 2024

Fatty acids play a crucial role in obesity development and in the comorbidities of obesity in both adults and children. This study aimed to assess the impact of circulating fatty acids on biomarkers of metabolic health of adolescents living with obesity. Parameters such as blood lipids, redox status, and leukocyte telomere length (rLTL) were measured alongside the proportions of individual fatty acids. The Mann–Whitney U test revealed that individuals with obesity exhibited an unfavorable lipid and redox status compared to the control normal weight group. The group with obesity also had lower plasma n-3 polyunsaturated fatty acids (PUFAs) and a higher ratio of n-6 to n-3 PUFAs than the control group. They also had a shorter rLTL, indicating accelerated biological aging. There was an inverse association of rLTL and plasma n-6-to-n-3 PUFA ratio. Future studies should explore the impact of recommended nutrition plans and increased physical activity on these parameters to determine if these interventions can enhance the health and well-being of adolescents with obesity, knowing that early obesity can track into adulthood.
Progastrin: An Overview of Its Crucial Role in the Tumorigenesis of Gastrointestinal Cancers
Authors: Fioretzaki Rodanthi , Sarantis Panagiotis , Charalampakis Nikolaos , Christofidis Konstantinos , Mylonakis Adam , Koustas Evangelos , Karamouzis Michalis V. , Sakellariou Stratigoula , Schizas Dimitrios
Published: April 2024

Defining predictive biomarkers for targeted therapies and optimizing anti-tumor immune response is a main challenge in ongoing investigations. Progastrin has been studied as a potential biomarker for detecting and diagnosing various malignancies, and its secretion has been associated with cell proliferation in the gastrointestinal tract that may promote tumorigenesis. Progastrin is a precursor molecule of gastrin, synthesized as pre-progastrin, converted to progastrin after cleavage, and transformed into amidated gastrin via biosynthetic intermediates. In cancer, progastrin does not maturate in gastrin and becomes a circulating and detectable protein (hPG80). The development of cancer is thought to be dependent on the progressive dysregulation of normal signaling pathways involved in cell proliferation, thus conferring a growth advantage to the cells. Understanding the interaction between progastrin and the immune system is essential for developing future cancer strategies. To that end, the present review will approach the interlink between gastrointestinal cancers and progastrin by exploring the underlying molecular steps involved in the initiation, evolution, and progression of gastrointestinal cancers. Finally, this review will focus on the clinical applications of progastrin and investigate its possible use as a diagnostic and prognostic tumor circulating biomarker for disease progression and treatment effectiveness, as well as its potential role as an innovative cancer target.
Recent Advances in Lateral Flow Assays for Viral Protein Detection with Nanomaterial-Based Optical Sensors
Authors: Kim Min Jung , Haizan Izzati , Ahn Min Ju , Park Dong-Hyeok , Choi Jin-Ha
Published: April 2024

Controlling the progression of contagious diseases is crucial for public health management, emphasizing the importance of early viral infection diagnosis. In response, lateral flow assays (LFAs) have been successfully utilized in point-of-care (POC) testing, emerging as a viable alternative to more traditional diagnostic methods. Recent advancements in virus detection have primarily leveraged methods such as reverse transcription–polymerase chain reaction (RT-PCR), reverse transcription–loop-mediated isothermal amplification (RT-LAMP), and the enzyme-linked immunosorbent assay (ELISA). Despite their proven effectiveness, these conventional techniques are often expensive, require specialized expertise, and consume a significant amount of time. In contrast, LFAs utilize nanomaterial-based optical sensing technologies, including colorimetric, fluorescence, and surface-enhanced Raman scattering (SERS), offering quick, straightforward analyses with minimal training and infrastructure requirements for detecting viral proteins in biological samples. This review describes the composition and mechanism of and recent advancements in LFAs for viral protein detection, categorizing them into colorimetric, fluorescent, and SERS-based techniques. Despite significant progress, developing a simple, stable, highly sensitive, and selective LFA system remains a formidable challenge. Nevertheless, an advanced LFA system promises not only to enhance clinical diagnostics but also to extend its utility to environmental monitoring and beyond, demonstrating its potential to revolutionize both healthcare and environmental safety.
A Four-Week High-Fat Diet Induces Anxiolytic-like Behaviors through Mature BDNF in the mPFC of Mice
Authors: Huang Huixian , Huang Jia , Lu Wensi , Huang Yanjun , Luo Ran , Bathalian Luqman , Chen Ming , Wang Xuemin
Published: April 2024

The effect of a high-fat diet (HFD) on mood is a widely debated topic, with the underlying mechanisms being poorly understood. This study explores the anxiolytic effects of a four-week HFD in C57BL/6 mice. Five-week-old mice were exposed to either an HFD (60% calories from fat) or standard chow diet (CD) for four weeks, followed by cannula implantation, virus infusion, behavioral tests, and biochemical assays. Results revealed that four weeks of an HFD induced anxiolytic-like behaviors and increased the protein levels of mature brain-derived neurotrophic factor (mBDNF) and phosphorylated tyrosine kinase receptor B (p-TrkB) in the medial prefrontal cortex (mPFC). Administration of a BDNF-neutralizing antibody to the mPFC reversed HFD-induced anxiolytic-like behaviors. Elevated BDNF levels were observed in both neurons and astrocytes in the mPFC of HFD mice. Additionally, these mice exhibited a higher number of dendritic spines in the mPFC, as well as upregulation of postsynaptic density protein 95 (PSD95). Furthermore, mRNA levels of the N6-methyladenosine (m6A) demethylase, fat mass and obesity-associated protein (FTO), and the hydrolase matrix metalloproteinase-9 (MMP9), also increased in the mPFC. These findings suggest that an HFD may induce FTO and MMP9, which could potentially regulate BDNF processing, contributing to anxiolytic-like behaviors. This study proposes potential molecular mechanisms that may underlie HFD-induced anxiolytic behaviors.
Metacognition as a Transdiagnostic Determinant of Recovery in Schizotypy and Schizophrenia Spectrum Disorders
Authors: Wiesepape Courtney N. , Smith Elizabeth A. , Hillis-Mascia Jaclyn D. , Queller Soza Sarah E. , Morris Madyson M. , James Alison V. , Stokes Alexis
Published: April 2024

The term schizotypy refers to the latent personality organization that is thought to underpin the liability to develop schizophrenia and associated disorders. Metacognition, or the ability to understand and form increasingly complex and integrated ideas of oneself, others, and one’s community, has been proposed to be an important transdiagnostic construct across schizophrenia spectrum disorders and a range of both clinical and non-clinical manifestations of schizotypy. In this paper, we review evidence that deficits in metacognition are present in individuals with relatively high levels of schizotypy and that these deficits are related to symptomology, function, and quality of life. We address the idea that decrements in metacognition may also contribute to the progression from schizotypy to more severe manifestations, while the amelioration of these deficits may enhance aspects of recovery, including the ability to form an integrated sense of self, others, and the wider world. We also review the following two recovery-oriented psychotherapies that target metacognition to promote recovery in individuals with clinical manifestations of schizotypy: Evolutionary Systems Therapy for Schizotypy (ESTS) and Metacognitive Reflection and Insight Therapy (MERIT).
Identifying Consciousness in Other Creatures: Three Initial Steps
Authors: Heredia Cedillo Alejandro , Lambert Dennis , Morsella Ezequiel
Published: April 2024

Identifying consciousness in other creatures, be they animals or exotic creatures that have yet to be discovered, remains a great scientific challenge. We delineate the first three steps that we think are necessary for identifying consciousness in other creatures. Step 1 is to define the particular kind of consciousness in which one is interested. Step 2 is to identify, in humans, the key differences between the brain processes that are associated with consciousness and the brain processes that are not associated with consciousness. For Step 2, to identify these differences, we focus on passive frame theory. Step 3 concerns how the insights derived from consciousness research on humans (e.g., concerning these differences) can be generalized to other creatures. We discuss the significance of examining how consciousness was fashioned by the process of evolution, a process that could be happenstance and replete with incessant tinkering, yielding adaptations that can be suboptimal and counterintuitive, far different in nature from our efficiently designed robotic systems. We conclude that the more that is understood about the differences between conscious processing and unconscious processing in humans, the easier it will be to identify consciousness in other creatures.
Artificial Intelligence-Powered Computational Strategies in Selecting and Augmenting Data for Early Design of Tall Buildings with Outer Diagrids
Authors: Kazemi Pooyan , Ghisi Aldo , Entezami Alireza
Published: April 2024

In the realm of architectural computing, this study explores the integration of parametric design with machine learning algorithms to advance the early design phase of tall buildings with outer diagrid systems. The success of such an endeavor relies heavily on a data-driven and artificial intelligence-enhanced workflow aimed at identifying key architectural and structural variables through a feature/response selection process within a supervised machine learning framework. By augmenting an initial dataset, which was notably limited, through four distinct techniques—namely Gaussian copula, conditional generative adversarial networks, Gaussian copula generative adversarial network, and variational autoencoder—this study demonstrates a methodical approach to data enhancement in architectural design. The results indicate a slight preference for the Gaussian copula method, attributed to its less complex hyperparameter tuning process. Evaluation through a random forest regressor revealed stable performance across various cross-validation techniques on synthetic data, although with an acceptable decrease in the coefficient of determination, from an original average score of 0.925 to an augmented score of 0.764. This investigation underscores the potential of artificial intelligence-powered computational tools to guide design decisions by pinpointing the variables with the most significant impact on relevant outputs, quantitatively assessing their influence through the accuracy of the employed machine learning methods.
Improving Tunnel Boring Machine Tunneling Performance by Investigating the Particle Size Distribution of Rock Chips and Cutter Consumption
Authors: Wang Wei , Yan Changbin , Guo Jing , Zhao Hailei , Li Gaoliu , Yao Wenmin , Ren Taozhe
Published: April 2024

The construction environment of deep rock tunnels is complex, and effectively enhancing tunnel boring machine (TBM) tunneling efficiency is paramount. Increasing rock-breaking efficiency and minimizing cutter consumption are essential strategies for improving TBM tunneling efficiency. Selecting suitable tunneling parameters is crucial for enhancing rock-breaking efficiency and reducing cutter consumption. Existing research on the optimization of the ratio of maximum cutter spacing to penetration (Smax/P) based on field-measured data is limited, and few studies compare and analyze the relationship between SE, CI, and the Smax/P ratio separately. Consequently, this study determined optimal tunneling parameters for various types of surrounding rock and construction environments, aiming to more accurately optimize TBM tunneling performance during construction processes based on on-site construction data. This study conducted a comparative analysis of specific energy (SE) and the coarseness index (CI). Under both working conditions, the quadratic fitting coefficients of the CI are 4.2% and 10.6% higher than those of the SE, respectively, with the CI selected to represent the particle size distribution of rock chips. Finally, taking into account both the correlations between the CI and the ratio of maximum cutter spacing to penetration (Smax/P), as well as cutter consumption and the Smax/P ratio, an optimization method for the TBM tunneling parameter was established under both dry and saturated conditions. The research findings indicate that cutter consumption exhibits an exponential increase with a higher rock Cerchar Abrasivity Index (CAI); it initially decreases as the Smax/P ratio increases and subsequently increases in both dry and saturated conditions. Instead, the CI demonstrates an initial increase and subsequent decrease as the Smax/P ratio increases. Maximizing rock-breaking efficiency and minimizing cutter consumption are crucial for improving tunneling performance. In saturated conditions, the corresponding optimal Smax/P ratio ranges are 7.055–8.319 for soft rock, 8.606–8.931 for medium–hard rock, and 13.50–14.00 for hard rock, and these optimal ranges under dry conditions are 8.495–9.457, 10.972–12.169, and 16.5–17.5 for the same rock types. This study provides optimal Smax/P ratio ranges for TBM tunneling, thereby significantly enhancing tunneling efficiency.
Human-Centric Lighting Design: A Framework for Supporting Healthy Circadian Rhythm Grounded in Established Knowledge in Interior Spaces
Authors: Jalali Mansoureh Sadat , Jones James R. , Tural Elif , Gibbons Ronald B.
Published: April 2024

Over the past 300 years, scientific observations have revealed the significant influence of circadian rhythms on various human functions, including sleep, digestion, and immune system regulation. Access to natural daylight is crucial for maintaining these rhythms, but modern lifestyles often limit its availability. Despite its importance, there is a lack of a comprehensive design framework to assist designers. This study proposes an architectural design framework based on the review of literature, lighting-related codes and standards, and available design and analysis tools that guides the creation of lighting systems supporting healthy circadian rhythms. The framework outlines key decision-making stages, incorporates relevant knowledge, and promotes the integration of dynamic lighting techniques into building design. The proposed framework was presented to a group of design professionals as a focus group and their feedback on the relevance and usability of the tool was obtained through a survey (n = 10). By empowering designers with practical tools and processes, this research bridges the gap between scientific understanding and design implementation, ensuring informed decisions that positively impact human health. This research contributes to the ongoing pursuit of creating lighting environments that support healthy circadian rhythms and promote human well-being.
Identification and In Vivo Validation of Unique Anti-Oncogenic Mechanisms Involving Protein Kinase Signaling and Autophagy Mediated by the Investigational Agent PV-10
Authors: Tran Son , Sipila Patrick , Thakur Satbir , Zhang Chunfen , Narendran Aru
Published: April 2024

PV-10 is a 10% formulation of rose bengal sodium that has potent immunotherapeutic and anti-cancer activity against various tumors, including metastatic melanoma and refractory neuroblastoma. Currently, PV-10 is undergoing clinical testing for refractory metastatic neuroendocrine cancer and melanomas. However, preclinical investigation of PV-10 activity and its mechanisms against phenotypically and molecularly diverse adult solid tumors had not been conducted. In a panel of human cell lines derived from breast, colorectal, head and neck, and testicular cancers, we demonstrated that PV-10 induces cytotoxicity by apoptotic and autophagic pathways involving caspase-mediated PARP cleavage, downregulation of SQSTM1/p62, and upregulation of beclin-1. Treatment with PV-10 also consistently reduced phosphorylation of WNK1, which has been implicated in cancer cell migration and autophagy inhibition. By wound healing assay, PV-10 treatment inhibited the migration of cancer cells. Finally, significant inhibition of tumor growth was also noted in tumor-bearing mice treated with PV-10 by intralesional or systemic administration. In addition to known PV-10-mediated tumor-specific cytotoxic effects, we identified the mechanisms of PV-10 and provide new insights into its effect on autophagy and metastasis. Our data provide essential mechanism-based evidence and biomarkers of activity to formulate clinical studies of PV-10 in the future.
Automatic Brain Tissue and Lesion Segmentation and Multi-Parametric Mapping of Contrast-Enhancing Gliomas without the Injection of Contrast Agents: A Preliminary Study
Authors: Liu Jing , Jakary Angela , Villanueva-Meyer Javier E. , Butowski Nicholas A. , Saloner David , Clarke Jennifer L. , Taylor Jennie W. , Oberheim Bush Nancy Ann , Chang Susan M. , Xu Duan , Lupo Janine M.
Published: April 2024

This study aimed to develop a rapid, 1 mm3 isotropic resolution, whole-brain MRI technique for automatic lesion segmentation and multi-parametric mapping without using contrast by continuously applying balanced steady-state free precession with inversion pulses throughout incomplete inversion recovery in a single 6 min scan. Modified k-means clustering was performed for automatic brain tissue and lesion segmentation using distinct signal evolutions that contained mixed T1/T2/magnetization transfer properties. Multi-compartment modeling was used to derive quantitative multi-parametric maps for tissue characterization. Fourteen patients with contrast-enhancing gliomas were scanned with this sequence prior to the injection of a contrast agent, and their segmented lesions were compared to conventionally defined manual segmentations of T2-hyperintense and contrast-enhancing lesions. Simultaneous T1, T2, and macromolecular proton fraction maps were generated and compared to conventional 2D T1 and T2 mapping and myelination water fraction mapping acquired with MAGiC. The lesion volumes defined with the new method were comparable to the manual segmentations (r = 0.70, p < 0.01; t-test p > 0.05). The T1, T2, and macromolecular proton fraction mapping values of the whole brain were comparable to the reference values and could distinguish different brain tissues and lesion types (p < 0.05), including infiltrating tumor regions within the T2-lesion. Highly efficient, whole-brain, multi-contrast imaging facilitated automatic lesion segmentation and quantitative multi-parametric mapping without contrast, highlighting its potential value in the clinic when gadolinium is contraindicated.
Perioperative Evaluation of the Physical Quality of Life of Patients with Non-Small Cell Lung Cancer: A Prospective Study
Authors: Fukai Ryuta , Nishida Tomoki , Sugimoto Hideyasu , Hibino Makoto , Horiuchi Shigeto , Kondo Tetsuri , Teshima Shinichi , Hirata Masahiro , Asou Keiko , Shimizu Etsuko , Saito Yuichi , Sakao Yukinori
Published: April 2024

Surgery is the most effective treatment for early-stage lung cancer; however, it poses a higher physical burden than other treatment options. Therefore, understanding the perioperative course of patients is important. Using the Short Form Health Survey 36, we prospectively measured the physical quality of life of patients who underwent anatomical pulmonary resection for non-small cell lung cancer at Shonan Kamakura General Hospital, Kanagawa, Japan (n = 87). In the preoperative setting, patients who had lower performance status and lived alone had significantly worse physical quality of life scores on multivariate analysis (regression coefficient (95% confidence interval), −9.37 (−13.43–−5.32) and −10.22 (−13.74–−7.40), respectively, p < 0.0001 for both). At 6 months postoperatively, patients who stopped smoking within 1 year preoperatively (stopped smoking within 1 year vs. remote or never smokers, 41.0 ± 10.5 vs. 48.6 ± 7.2, p = 0.002), had lower performance status (0 vs. 1–2, 49.3 ± 6.6 vs. 38.6 ± 9.6, p < 0.0001), lived alone (living alone vs. living with somebody, 41.6 ± 9.7 vs. 48.1 ± 7.9, p = 0.021), and had higher comorbid burden (Charlson comorbidity index <3 vs. ≥3, 48.2 ± 6.9 vs. 39.1 ± 14.7, p = 0.003) had significantly worse physical quality of life scores on univariate analysis. More recent smoking (regression coefficient (95% confidence interval), −4.90 (−8.78–1.0), p = 0.014), lower performance status (8.90 (5.10–12.70), p < 0.0001), living alone (5.76 (1.39–10.13), p = 0.01), and higher comorbid burden (−6.94 (−11.78–−2.10), p = 0.006) were significant independent predictors of worse postoperative physical quality of life on multivariate analysis. Therefore, patients with these conditions might need additional support to maintain their physical condition after anatomical lung cancer surgery.
Understanding the Role of Connexins in Hepatocellular Carcinoma: Molecular and Prognostic Implications
Authors: Papadakos Stavros P. , Chatzikalil Elena , Arvanitakis Konstantinos , Vakadaris Georgios , Stergiou Ioanna E. , Koutsompina Maria-Loukia , Argyrou Alexandra , Lekakis Vasileios , Konstantinidis Ippokratis , Germanidis Georgios , Theocharis Stamatios
Published: April 2024

Connexins, a family of tetraspan membrane proteins forming intercellular channels localized in gap junctions, play a pivotal role at the different stages of tumor progression presenting both pro- and anti-tumorigenic effects. Considering the potential role of connexins as tumor suppressors through multiple channel-independent mechanisms, their loss of expression may be associated with tumorigenic activity, while it is hypothesized that connexins favor the clonal expansion of tumor cells and promote cell migration, invasion, and proliferation, affecting metastasis and chemoresistance in some cases. Hepatocellular carcinoma (HCC), characterized by unfavorable prognosis and limited responsiveness to current therapeutic strategies, has been linked to gap junction proteins as tumorigenic factors with prognostic value. Notably, several members of connexins have emerged as promising markers for assessing the progression and aggressiveness of HCC, as well as the chemosensitivity and radiosensitivity of hepatocellular tumor cells. Our review sheds light on the multifaceted role of connexins in HCC pathogenesis, offering valuable insights on recent advances in determining their prognostic and therapeutic potential.
Multiparametric Characterization of the DSL-6A/C1 Pancreatic Cancer Model in Rats
Authors: Schmidt Patrick , Lindemeyer Johannes , Raut Pranali , Schütz Markus , Saniternik Sven , Jönsson Jannika , Endepols Heike , Fischer Thomas , Quaas Alexander , Schlößer Hans Anton , Thelen Martin , Grüll Holger
Published: April 2024

The DSL-6A/C1 murine pancreatic ductal adenocarcinoma (PDAC) tumor model was established in Lewis rats and characterized through a comprehensive multiparametric analysis to compare it to other preclinical tumor models and explore potential diagnostic and therapeutical targets. DSL-6A/C1 tumors were histologically analyzed to elucidate PDAC features. The tumor microenvironment was studied for immune cell prevalence. Multiparametric MRI and PET imaging were utilized to characterize tumors, and 68Ga-FAPI-46-targeting cancer-associated fibroblasts (CAFs), were used to validate the histological findings. The histology confirmed typical PDAC characteristics, such as malformed pancreatic ductal malignant cells and CAFs. Distinct immune landscapes were identified, revealing an increased presence of CD8+ T cells and a decreased CD4+ T cell fraction within the tumor microenvironment. PET imaging with 68Ga-FAPI tracers exhibited strong tracer uptake in tumor tissues. The MRI parameters indicated increasing intralesional necrosis over time and elevated contrast media uptake in vital tumor areas. We have demonstrated that the DSL-6A/C1 tumor model, particularly due to its high tumorigenicity, tumor size, and 68Ga-FAPI-46 sensitivity, is a suitable alternative to established small animal models for many forms of preclinical analyses and therapeutic studies of PDAC.
Unraveling the Pathogenetic Mechanisms Underlying the Association between Specific Mitochondrial DNA Haplogroups and Parkinson’s Disease
Authors: Lan Min-Yu , Lin Tsu-Kung , Lace Baiba , Utkus Algirdas , Burnyte Birute , Grigalioniene Kristina , Lin Yu-Han , Inashkina Inna , Liou Chia-Wei
Published: April 2024

Variants of mitochondrial DNA (mtDNA) have been identified as risk factors for the development of Parkinson’s disease (PD). However, the underlying pathogenetic mechanisms remain unclear. Cybrid models carrying various genotypes of mtDNA variants were tested for resistance to PD-simulating MPP+ treatment. The most resistant line was selected for transcriptome profiling, revealing specific genes potentially influencing the resistant characteristic. We then conducted protein validation and molecular biological studies to validate the related pathways as the influential factor. Cybrids carrying the W3 mtDNA haplogroup demonstrated the most resistance to the MPP+ treatment. In the transcriptome study, PPP1R15A was identified, while further study noted elevated expressions of the coding protein GADD34 across all cybrids. In the study of GADD34-related mitochondrial unfolding protein response (mtUPR), we found that canonical mtUPR, launched by the phosphate eIF2a, is involved in the resistant characteristic of specific mtDNA to MPP+ treatment. Our study suggests that a lower expression of GADD34 in the late phase of mtUPR may prolong the mtUPR process, thereby benefitting protein homeostasis and facilitating cellular resistance to PD development. We herein demonstrate that GADD34 plays an important role in PD development and should be further investigated as a target for the development of therapies for PD.
AuNPs/Ti3C2 Signal-Enhanced Surface Plasmon Resonance Imaging Biosensor for Ultrasensitive Detection of miRNA
Authors: Qin Yirui , Jiang Li , Sun Rengang , Fang Yunzhu , Shi Boya , Jin Shangzhong
Published: April 2024

MicroRNA-21 is a potential cancer biomarker that is highly expressed in many cancer cells. Therefore, it is important to perform highly sensitive detection of miRNA-21. In this study, we designed a surface plasmon resonance imaging (SPRi) sensor based on an AuNPs/Ti3C2 composite for real-time and highly sensitive detection of miRNA-21. The fixation of the capture polyA-DNA probes was completed by the freezing method, which improved the detection efficiency. DNA−AuNPs/Ti3C2 conjugates were added to amplify the SPRi signal. The signal amplification combines the large specific surface area of Ti3C2 and the electronic coupling between the local surface plasmon resonance (LSPR) of AuNPs and the plasmon wave on the surface of the Au chip, thereby enhancing the SPRi response signal. Using this sensing strategy, the detection limit for miRNA-21 can reach 6.13 fM, with a wide dynamic range between 10 fM and 10 nM. In addition, the sensor has excellent selectivity for miRNA-21 and miRNAs with similar sequences, and receives minimal interference when applied to complex matrices. Based on these results, we believe that this study provides a simple and highly sensitive method for miRNA detection, which has great potential for the quantitative detection of miRNA in biomedical research and early clinical diagnosis.
How Does a 12-Week Physical Exercise Program Affect the Motor Proficiency and Cognitive Abilities of Overweight and Normal-Weight Preschool Children?
Authors: Katanic Borko , Aleksic Veljkovic Aleksandra , Radakovic Radivoje , Stojiljkovic Nenad , Olanescu Mihai , Peris Miruna , Suciu Adrian , Popa Danut
Published: April 2024

The objective of this research was to examine a 12-week exercise program and its impact on the motor proficiency and cognitive abilities of preschool children with overweight and normal weight. The study involved a total of 71 participants who were preschool children enrolled in a longitudinal study. Body mass index (BMI) was determined by measuring body height and weight, and the nutritional status of the children was assessed using the World Health Organization’s (WHO) criteria. Motor proficiency encompasses both motor abilities and motor skills, and the assessment of motor abilities was conducted using subtests from the Bruininks–Oseretsky Test of Motor Proficiency (BOT-2). These subtests measured fine motor integration, manual dexterity, balance, and bilateral coordination. The evaluation of motor skills involved the utilization of the Test of Gross Motor Development (TGMD-2), which examines both locomotor skills and manipulative skills. Cognitive abilities were assessed using the School Maturity Test (TZS). All participants, regardless of weight status, took part in a 12-week physical exercise program. According to the World Health Organization’s criteria, 52 children (73.2%) were categorized as having a normal weight, while 19 children (26.8%) were classified as overweight. These findings indicate that every fourth child in the study was overweight. Using a statistical analysis called SPANOVA (2 × 2, group × time), differences were observed in three out of eleven variables. Specifically, there were significant differences in two motor skill variables: manipulative skills (p = 0.006) and total movement skills (p = 0.014). Additionally, there was a significant difference in one cognitive ability variable: visual memory (p = 0.010). No significant differences were found in the remaining variables. The findings of this study aimed to contribute to the understanding of the potential benefits of regular exercise on motor and cognitive development in preschool children, specifically examining the differences between overweight and normal-weight children. By investigating these effects, the study could provide valuable insights for educators, parents, and health professionals involved in promoting the overall well-being of preschool-aged children. Regular physical exercise has been found to have positive effects on motor and cognitive abilities in both overweight and normal-weight preschool children.
Controlling the Superconducting Critical Temperature and Resistance of NbN Films through Thin Film Deposition and Annealing
Authors: Pei Yang , Fan Qian , Ni Xianfeng , Gu Xing
Published: April 2024

This study investigated the relationship between the superconducting properties, electrical properties, sputtering process parameters, and post-growth annealing of NbN films. Four series of NbN films were deposited by DC magnetron sputtering using different process parameters. With the assistance of a four-probe method, the superconducting performance presented first an increase and then a decreasing trend as the resistance of the prepared films increased, which could be attributed to the variation of the N/Nb ratio in the films. This correlation implied that it is very challenging to fabricate films with both high Tc and high resistance or high Tc and low resistance by adjusting the sputtering process parameters. In order to overcome these bottlenecks, a series of films were deposited on Si, GaN/Si, SiN/Si, AlN/Si, and AlN/sapphire substrates, and the film deposited on Si was annealed at 900 °C. Annealing reduced the stress of the films on the buffer layer and increased the grain size and crystallinity of the films, except for the films on the GaN/Si substrates. This resulted in a significant decrease in the resistivity of the film and a significant increase in the superconducting transition temperature.
Correction: Rumyantsev et al. White Phosphate Coatings Obtained on Steel from Modified Cold Phosphating Solutions. Coatings 2022, 12, 70
Authors: Rumyantsev Evgeniy , Rumyantseva Varvara , Konovalova Viktoriya
Published: April 2024

In the original publication [...]
An Implementation of LASER Beam Welding Simulation on Graphics Processing Unit Using CUDA
Authors: Nascimento Ernandes , Magalhães Elisan , Azevedo Arthur , Paes Luiz E. S. , Oliveira Ariel
Published: April 2024

The maximum number of parallel threads in traditional CFD solutions is limited by the Central Processing Unit (CPU) capacity, which is lower than the capabilities of a modern Graphics Processing Unit (GPU). In this context, the GPU allows for simultaneous processing of several parallel threads with double-precision floating-point formatting. The present study was focused on evaluating the advantages and drawbacks of implementing LASER Beam Welding (LBW) simulations using the CUDA platform. The performance of the developed code was compared to that of three top-rated commercial codes executed on the CPU. The unsteady three-dimensional heat conduction Partial Differential Equation (PDE) was discretized in space and time using the Finite Volume Method (FVM). The Volumetric Thermal Capacitor (VTC) approach was employed to model the melting-solidification. The GPU solutions were computed using a CUDA-C language in-house code, running on a Gigabyte Nvidia GeForce RTX™ 3090 video card and an MSI 4090 video card (both made in Hsinchu, Taiwan), each with 24 GB of memory. The commercial solutions were executed on an Intel® Core™ i9-12900KF CPU (made in Hillsboro, Oregon, United States of America) with a 3.6 GHz base clock and 16 cores. The results demonstrated that GPU and CPU processing achieve similar precision, but the GPU solution exhibited significantly faster speeds and greater power efficiency, resulting in speed-ups ranging from 75.6 to 1351.2 times compared to the CPU solutions. The in-house code also demonstrated optimized memory usage, with an average of 3.86 times less RAM utilization. Therefore, adopting parallelized algorithms run on GPU can lead to reduced CFD computational costs compared to traditional codes while maintaining high accuracy.
Molecular and Morphological Phylogenies of Spirorbinae (Serpulidae, Polychaeta, Annelida) and the Evolution of Brooding Modes
Authors: Rouse Greg W. , Macdonald Tara A. , Kupriyanova Elena K.
Published: April 2024

Spirorbinae, a ubiquitous group of marine calcareous tubeworms with a small body size as adults, have a fascinating diversity of brooding modes that form the basis for their taxonomic division into six tribes (traditionally subfamilies): in-tube incubation, with varying degrees of attachment to adult structures (four tribes), and external incubation in a modified radiole (opercular brood chambers; two tribes). We investigated the evolutionary transitions among these brooding modes. Phylogenetic reconstruction with molecular (28s and 18s rDNA) and morphological data (83 characters) among 36 taxa (32 ingroup spirorbins; 4 filogranin outgroups) of the combined data set, using maximum parsimony, maximum likelihood, and Bayesian analyses, inferred Spirorbinae to be monophyletic, with strong support for the monophyly for five tribes (Circeini, Januini, Romanchellini, Paralaeospirini and Spirorbini), but non-monophyly for Pileolariini. However, deeper relationships among some tribes remain unresolved. Neomicrorbis was found to be the sistergroup to all other Spirorbinae. Alternative coding strategies for assessing the ancestral state reconstruction for the reproductive mode allowed for a range of conclusions as to the evolution of tube and opercular brooding in Spirorbinae. Two of the transformations suggest that opercular brooding may be ancestral for Spirorbinae, and the tube-incubating tribes may have been derived independently from opercular-brooding ancestors.
A Multivariant Surrogate Virus Neutralization Test Demonstrates Distinct SARS-CoV-2-Specific Antibody Responses in People Living with HIV after a Fourth Monovalent mRNA Vaccination or an Omicron Breakthrough Infection
Authors: Springer David Niklas , Daller Simon , Knappik Michael , Prüger Katja , Hartl Sylvia , Breyer-Kohansal Robab , Puchhammer-Stöckl Elisabeth , Aberle Judith Helene , Weseslindtner Lukas , Breyer Marie Kathrin
Published: April 2024

While neutralizing antibodies (nAbs) induced by monovalent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccinations are primarily directed against the wildtype (WT), subsequent exposure to the Omicron variants may increase the breadth of the antibodies’ cross-neutralizing activity. Here, we analyzed the impact of an Omicron breakthrough infection (BTI) or a fourth monovalent mRNA vaccination on nAb profiles in people living with human immunodeficiency virus (PLWH). Using a multivariant surrogate virus neutralization test (sVNT), we quantified nAbs in 36 three-times vaccinated PLWH, of whom 9 acquired a serologically confirmed Omicron BTI, 8 received a fourth vaccine dose, and 19 were neither infected nor additionally vaccinated. While nAbs against WT and Delta increased after the BTI and a fourth vaccination, a significant increase against BA.1, BA.2, and BA.5 was only observed after the BTI. However, there was no significant difference in nAb concentrations between the samples obtained after the BTI and fourth vaccination. In contrast, nAb levels were significantly lower in PLWH, who were neither infected nor additionally vaccinated after three vaccinations. Thus, our study demonstrates the suitability of a multivariant sVNT to assess hybrid humoral immunity after Omicron BTIs in PLWH vaccinated against SARS-CoV-2.
Borderline Ventricles: From Evaluation to Treatment
Authors: Mazza Giuseppe Antonio , Oreto Lilia , Tuo Giulia , Sirico Domenico , Moscatelli Sara , Meliota Giovanni , Micari Antonio , Guccione Paolo , Rinelli Gabriele , Favilli Silvia
Published: April 2024

A heart with a borderline ventricle refers to a situation where there is uncertainty about whether the left or right underdeveloped ventricle can effectively support the systemic or pulmonary circulation with appropriate filling pressures and sufficient physiological reserve. Pediatric cardiologists often deal with congenital heart diseases (CHDs) associated with various degrees of hypoplasia of the left or right ventricles. To date, no specific guidelines exist, and surgical management may be extremely variable in different centers and sometimes even in the same center at different times. Thus, the choice between the single-ventricle or biventricular approach is always controversial. The aim of this review is to better define when “small is too small and large is large enough” in order to help clinicians make the decision that could potentially affect the patient’s entire life.
Comparative Analysis of Vascular Calcification Risk Factors in Pre-Hemodialysis and Prevalent Hemodialysis Adult Patients: Insights into Calcification Biomarker Associations and Implications for Intervention Strategies in Chronic Kidney Disease
Authors: Petrović Marko , Brković Voin , Baralić Marko , Marić Ivko , Petković Nenad , Stanković Sanja , Lalić Nataša , Stanisavljević Dejana , Đukanović Ljubica , Ležaić Višnja
Published: April 2024

This retrospective study aimed to compare risk factors for vascular calcification (VC) between pre-hemodialysis (HD) and prevalent HD adult patients while investigating associations with calcification biomarkers. Baseline data from 30 pre-HD and 85 HD patients were analyzed, including iPTH, vitamin D, FGF 23, fetuin-A, sclerostin, and VC scores (Adragao method). Prevalence of VC was similar in both groups, but HD patients had more frequent VC scores ≥ 6. Pre-HD patients were older, with higher prevalence of hypertension and less frequent use of calcium phosphate binders. Both groups showed similar patterns of hyperphosphatemia, low vitamin D, and iPTH. Fetuin-A and sclerostin levels were higher in pre-HD, while FGF 23 was elevated in HD patients. Higher VC risk in pre-HD patients was associated with male gender, older age, lower fetuin-A and higher sclerostin, lower ferritin, and no vitamin D treatment, while in HD patients with higher sclerostin, FGF 23 and urea, and lower iPTH. Conclusion: Biomarkers could be measurable indicators of biological processes underlying VC in CKD patients that may serve as a potential guide for considering personalized therapeutic approaches. Further studies are needed to elucidate the underlying pathways.
Analyzing Oral Health Conditions in Sex Workers—A Comparative Retrospective Clinical and Radiographic Study
Authors: Oguen-Alon Tahel , Bilder Leon , Giladi Hadar Zigdon , Gutmacher Zvi , Mayer Yaniv
Published: April 2024

This study highlights the oral health condition of female sex workers (SWs), who face increased risks associated with habits such as excessive alcohol and tobacco use. These behaviors heighten the likelihood of issues like oral cancer and dental diseases, underscoring the need for targeted health interventions. The study examines the oral health disparities between SWs and the general population (GP). A retrospective study analyzed the health records of 40 SWs and 40 controls matched by age and gender who were examined between 1 January 2020 and 30 May 2023. Intra-oral and panoramic radiographs, alongside clinical examination, were used to evaluate missing teeth, periodontal bone support, and caries. T-tests and chi-square tests were used to compare dental health indicators. A comparative analysis of these 80 patients revealed significant disparities: SWs had a higher incidence of missing teeth (5.8 ± 7.3 vs. 0.7 ± 1.4, p < 0.01) and caries (6.1 ± 6.2 vs. 0.8 ± 1.2, p < 0.05) compared to the GP. The DMFT (Decayed, Missing, and Filled Teeth) index was notably higher in SWs (16.1 ± 8.09) than in the GP (7.95 ± 5.48, p < 0.001). Additionally, 12% of SWs used removable dentures, unlike the GP. This study underscores significant oral health challenges in SWs, emphasizing the need for targeted healthcare strategies to improve their health conditions.
Learning from Mistakes—Dental Students’ Learning Experiences from Adverse Clinical Events
Authors: Ishikawa Hiroshi , Valdes Layra , Xie Juanna , Ohyama Hiroe , Tate Isabel , Maeno Masahiko , Shiba Takahiko , Nagai Shigemi
Published: April 2024

Clinical training in the teaching practice is essential for developing patient-specific skills, yet the transition from preclinical to clinical training presents significant challenges for students. This study aimed to comprehend the challenges and issues faced by students at the onset of clinical training. It retrospectively investigated adverse events presented at the advanced dentistry course by third-year pre-doctoral students from classes 202A, 202B, and 202C during their initial ten months of clinical practice at the teaching institution. In this study, adverse events were defined as any undesirable experiences or incidents associated with a clinical treatment and administrative procedures. A total of 279 adverse events presented were categorized into eight disciplines: Treatment planning (TP), Operative (OP), Periodontics (PER), Endodontics (EN), Oral Surgery (OS), Fixed Prosthodontics (FP), Removable Prosthodontics (RP), and Patient Management (PM). The distribution of events was as follows: TP (11.5%), OP (17.7%), PER (13.1%), EN (6.9%), OS (6.2%), FP (24.2%), RP (5.0%), and PM (15.4%), with FP, OP and PM experiencing the highest rates of adverse events. The distribution pattern within the disciplines was consistent, and no statistical difference was observed. Across these disciplines, a lack of clinical skill competency was identified as a primary cause of adverse events. Other contributing issues included miscommunication, insufficient explanations to patients, a lack of administrative support, case complexity, and a deficit in diagnostic examinations and skills. The frequency of causes varied across the three classes, but no significant differences was noted in OP, FP and OS, in which over 80% of causes were related to clinical skill competency. Adverse events in clinical settings are frequent. Knowing these beforehand can aid students’ performance. Students should prepare thoroughly before clinical practice and understand common causes of errors. Educators should recognize the challenges inexperienced students encounter. Awareness of typical mistakes can enhance success in demanding clinical scenarios.
The Impact of Teachable Machine on Middle School Teachers’ Perceptions of Science Lessons after Professional Development
Authors: Kurz Terri L. , Jayasuriya Suren , Swisher Kimberlee , Mativo John , Pidaparti Ramana , Robinson Dawn T.
Published: April 2024

Technological advances in computer vision and machine learning image and audio classification will continue to improve and evolve. Despite their prevalence, teachers feel ill-prepared to use these technologies to support their students’ learning. To address this, in-service middle school teachers participated in professional development, and middle school students participated in summer camp experiences that included the use of Google’s Teachable Machine, an easy-to-use interface for training machine learning classification models. An overview of Teachable Machine is provided. As well, lessons that highlight the use of Teachable Machine in middle school science are explained. Framed within Personal Construct Theory, an analysis of the impact of the professional development on middle school teachers’ perceptions (n = 17) of science lessons and activities is provided. Implications for future practice and future research are described.