Enhancement of titanium surfaces using different acid solutions at room temperature to improve bone cell responses.

Background/purpose: Early osseointegration of titanium (Ti) dental implants relies on the surface topography. Surface modification of Ti seeks to enhance bone regeneration around implants. Acid etching is the simple, less technique sensitive and cost-effective technique for surface treatment.

Investigation of the cushioning mechanism of a novel dental implant system with composite hydrogel.

Background/purpose: Dental implants can restore both function and aesthetics in edentulous areas. However, the absence of cushioning mechanical behavior in implants may limit their clinical performance and reduce the long-term survival rates. This study aimed to establish an implant cushion mechanism that mimicked the natural periodontal ligament, utilizing the properties of composite hydrogels.

Antimicrobial properties of bimetallic-containing mesoporous bioglass against .

Background/purpose: Various pulp-covering materials offer advantages in regenerative root canal treatment, but each has limitations, highlighting the need for more effective antibacterial strategies for pulp repair and regeneration. Mesoporous bioactive glasses (MBG) show significant biological activity, making them valuable in tissue/dental repair. Silver-incorporated MBG exhibits promising antibacterial effects against various bacteria; copper ions are crucial in regulating angiogenesis signals.

Improving osteogenic properties of zirconia ceramic via glow discharge plasma-enhanced deposition of amine organic compound.

Background/purpose: Osseointegration potential is greatly depended on the interaction between bone cells and dental implant surface. Since zirconia ceramic has a bioinert surface, functionalization of the surface with an organic compound allylamine was conducted to overcome its drawback of minimal interaction with the surrounding bone.

Materials And Methods: The zirconia surface was initially treated with argon glow discharge plasma (GDP), then combined with amine plasma at three different conditions of 50-W, 75-W and 85-W, to prepare the final samples.

Using optimization approach to design dental implant in three types of bone quality - A finite element analysis.

Background/purpose: The use of finite element (FE) analysis in implant biomechanics offers many advantages over other approaches in simulating the complexity of clinical situations. The aim of this study was to perform an optimization analysis of dental implants with different thread designs in three types of bone quality.

Materials And Methods: The three-dimensional FE model of a mandibular bone block with a screw-shaped dental implant and superstructure was simulated.

Evaluation of cortical bone thickness at the nasomaxillary and zygomaticomaxillary buttresses using cone-beam computed tomography imaging for Le Fort I osteotomy.

Background/purpose: Studies have indicated that 50%-55% of the population have malocclusion, and approximately 5%-10% require orthognathic surgery to correct this condition. Optimal placement of plates and screws significantly affects the success rate of the surgery and postoperative stability. This study evaluates the cortical thickness of the maxillary bone in the nasomaxillary and zygomaticomaxillary buttress regions in Taiwanese patients based on cone-beam computed tomography (CBCT) images.

AI-Assisted Compressed Sensing Enables Faster Brain MRI for the Elderly: Image Quality and Diagnostic Equivalence with Conventional Imaging.

Purpose: Conventional brain MRI protocols are time-consuming, which can lead to patient discomfort and inefficiency in clinical settings. This study aims to assess the feasibility of using artificial intelligence-assisted compressed sensing (ACS) to reduce brain MRI scan time while maintaining image quality and diagnostic accuracy compared to a conventional imaging protocol.

Patients And Methods: Seventy patients from the department of neurology underwent brain MRI scans using both conventional and ACS protocols, including axial and sagittal T2-weighted fast spin-echo sequences and T2-fluid attenuated inversion recovery (FLAIR) sequence.

Endothelial and smooth muscle cell interaction with hydrothermally treated titanium surfaces.

Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, and the most common form is coronary artery disease (CAD). Treatment options include coronary artery bypass surgery (CABG) or percutaneous heart intervention (PCI), but both have drawbacks. Bare metal stents (BMS) are commonly used to treat CAD; however, they lead to restenosis.

Skeletal organoids.

The skeletal system, composed of bones, muscles, joints, ligaments, and tendons, serves as the foundation for maintaining human posture, mobility, and overall biomechanical functionality. However, with ageing, chronic overuse, and acute injuries, conditions such as osteoarthritis, intervertebral disc degeneration, muscle atrophy, and ligament or tendon tears have become increasingly prevalent and pose serious clinical challenges. These disorders not only result in pain, functional loss, and a marked reduction in patients' quality of life but also impose substantial social and economic burdens.

Cardiac organ chip: advances in construction and application.

Cardiovascular diseases are a leading cause of death worldwide, and effective treatment for cardiac disease has been a research focal point. Although the development of new drugs and strategies has never ceased, the existing drug development process relies primarily on rodent models such as mice, which have significant shortcomings in predicting human responses. Therefore, human-based in vitro cardiac tissue models are considered to simulate physiological and functional characteristics more effectively, advancing disease treatment and drug development.

Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments.

Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.

Primary Neuronal Culture and Transient Transfection.

Primary neuronal culture and transient transfection offer a pair of crucial tools for neuroscience research, providing a controlled environment to study the behavior, function, and interactions of neurons in vitro. These cultures can be used to investigate fundamental aspects of neuronal development and plasticity, as well as disease mechanisms. There are numerous methods of transient transfection, such as electroporation, calcium phosphate precipitation, or cationic lipid transfection.

Photopyroelectric tweezers for versatile manipulation.

Optical tweezers and related techniques offer extraordinary opportunities for research and applications in physical, biological, and medical fields. However, certain critical requirements, such as high-intensity laser beams, sophisticated electrode designs, additional electric sources, or low-conductive media, significantly impede their flexibility and adaptability, thus hindering their practical applications. Here, we report innovative photopyroelectric tweezers (PPT) that combine the advantages of light and electric field by utilizing a rationally designed photopyroelectric substrate with efficient and durable photo-induced surface charge-generation capability, enabling diverse manipulation in various working scenarios.

Population imaging of internal state circuits relevant to psychiatric disease: a review.

Internal states involve brain-wide changes that subserve coordinated behavioral and physiological responses for adaptation to changing environments and body states. Investigations of single neurons or small populations have yielded exciting discoveries for the field of neuroscience, but it has been increasingly clear that the encoding of internal states involves the simultaneous representation of multiple different variables in distributed neural ensembles. Thus, an understanding of the representation and regulation of internal states requires capturing large population activity and benefits from approaches that allow for parsing intermingled, genetically defined cell populations.

A biomarker framework for liver aging: the Aging Biomarker Consortium consensus statement.

In human aging, liver aging per se not only increases susceptibility to liver diseases but also increases vulnerability of other organs given its central role in regulating metabolism. Total liver function tends to be well maintained in the healthy elderly, so liver aging is generally difficult to identify early. In response to this critical challenge, the Aging Biomarker Consortium of China has formulated an expert consensus on biomarkers of liver aging by synthesizing the latest scientific literature, comprising insights from both scientists and clinicians.

Biochemical mechanisms and molecular interactions of vitamins in cancer therapy.

Recently, the potential role of vitamins in cancer therapy has attracted considerable research attention. However, the reported findings are inconsistent, with limited information on the biochemical and molecular interactions of different vitamins in various cancer cells. Importantly, the presence of vitamin receptors in tumor cells suggests that vitamins play a significant role in the molecular and biochemical interactions in cancers.

The efficacy of resveratrol supplementation on inflammation and oxidative stress in type-2 diabetes mellitus patients: randomized double-blind placebo meta-analysis.

Background: The effects of resveratrol supplementation on inflammation and oxidative stress in patients with type 2 diabetes mellitus (T2DM) were controversial. A meta-analysis was performed to assess the changes in levels of inflammation and oxidative stress in patients with T2DM.

Methods: Relevant literatures before November 6, 2024 were screened through Web of Science,Embase,the Cochrane Library and other sources (ClinicalTrials, ProQuest Dissertations and Theses).

Molecular imaging of viral pathogenesis and opportunities for the future.

Molecular imaging is used in clinical and research settings. Since tools to study viral pathogenesis longitudinally and systemically are limited, molecular imaging is an attractive and largely unexplored tool. This review discusses molecular imaging probes and techniques for studying viruses, particularly those currently used in oncology that are applicable to virology.

Ginsenoside-Re-rich ethanol extract of Panax ginseng berry enhances healthspan extension via mitostasis and NAD metabolism.

Background: Ginseng Berry Concentrate (GBC) enhances exercise capacity in mice, but the effects of its key component, ginsenoside Re (G-Re), on aging and mitochondrial function are not well understood. This study investigates the impact of G-Re on mitophagy and its potential to promote healthy aging.

Methods: Experiments in C2C12 myocytes and HeLa-mitoKeima-PARKIN cells assessed GBC and G-Re's effects on mitophagy, supported by Gene Set Enrichment Analysis.

IDH1 mutation inhibits differentiation of astrocytes and glioma cells with low oxoglutarate dehydrogenase expression by disturbing α-ketoglutarate-related metabolism and epigenetic modification.

Isocitrate dehydrogenase (IDH) mutations frequently occur in lower-grade gliomas and secondary glioblastomas. Mutant IDHs exhibit a gain-of-function activity, leading to the production of D-2-hydroxyglutarate (D-2HG) by reducing α-ketoglutarate (α-KG), a central player in metabolism and epigenetic modifications. However, the role of α-KG homeostasis in IDH-mutated gliomagenesis remains elusive.

Environment scan of generative AI infrastructure for clinical and translational science.

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers.

Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.

Many longitudinal neuroimaging studies aim to improve the understanding of brain aging and diseases by studying the dynamic interactions between brain function and cognition. Doing so requires accurate encoding of their multidimensional relationship while accounting for individual variability over time. For this purpose, we propose an unsupervised learning model (called ntrastive Learning-based ph Generalized nonical Correlation Analysis (CoGraCa)) that encodes their relationship via Graph Attention Networks and generalized Canonical Correlational Analysis.

Symptom Network and Subgroup Analysis in Patients with Exacerbation of Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.

Purpose: This study aims to construct a contemporaneous symptom network of inpatients with Exacerbation of Chronic Obstructive Pulmonary Disease (ECOPD) based on the symptom cluster, identify core and bridge symptoms, and patient subgroups with different symptom clusters based on individual differences in the intensity of patient symptom experiences.

Patients And Methods: This study used convenience sampling to collect demographic, symptom, auxiliary examination, and prognosis information of 208 inpatients with ECOPD from April 2022 to October 2023. The data underwent exploratory factor analysis (EFA), symptom network analysis, latent class analysis (LCA), Spearman correlation analysis, Wilcoxon signed-rank test, single-factor regression and multiple-factor stepwise regression.