Consensus statement on peri-implant disease from the Korean Academy of Periodontology.

This consensus report presents the first official position statement of the Korean Academy of Periodontology on peri-implant diseases, issued in response to South Korea's rapidly aging population and the associated rise in peri-implant disease management. It reviews the prevalence, classification, and definition of peri-implant diseases, emphasizing that these conditions progress more aggressively and unpredictably than periodontal diseases. The report also identifies systemic and local risk indicators, diagnostic criteria, and evidence-based treatment protocols for peri-implant mucositis and peri-implantitis, integrating international standards with Korea-specific clinical data.

Comparative analysis of microbial diversity and fatty acids in raw milk from different production systems.

This study investigated how differences in raw milk obtained from different milk production practices, such as conventional, antibiotic-free, and organic, influence microbial community structure and fatty acid profiles, potentially affecting milk quality. Microbial diversity revealed no significant differences among the three milk production practices. However, Pseudomonas was dominant across all milk types, with organic milk demonstrating significantly higher relative abundances of Lactococcus, Acinetobacter, and Carnobacterium.

Direct detection and differentiation of the Vibrio harveyi clade using MALDI-TOF MS integrated with artificial intelligence for effective outbreak management.

Accurate identification of Vibrio harveyi clade species is critical for seafood safety and the control of aquaculture diseases. However, existing methods demonstrate limited classification performance. This study presents an artificial intelligence-assisted matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) approach using on-plate protein extraction for direct colony analysis.

Smart bioelectronic materials and systems for regenerative tissue engineering.

Regenerative medicine with stem cells has played a pivotal role in tissue engineering, demonstrating remarkable potential to address degenerative diseases and tissue deficiencies. Despite its great potential, this field faces significant challenges, including the need to control cellular behavior, achieve real-time monitoring, and standardize stimulation protocols. To address these technical hurdles, the integration of stem cells with smart bioelectronic materials and devices has emerged as a groundbreaking paradigm in regenerative medicine, offering huge potential for improved therapeutic outcomes in various tissue engineering applications.

MXene/Doxorubicin Complex-Loaded Supramolecular Hydrogels for Near Infrared-Triggered Synergistic Cancer Therapy.

Photothermal therapy (PTT) has attracted great interest due to the high spatial precision and reduced general toxicity compared to conventional cancer therapies. However, PTT often faces challenges such as incomplete tumor eradication and collateral damage to healthy tissues. Here, we report an injectable MXene-doxorubicin (MD) complex-loaded supramolecular hydrogel (MDGel) for dual synergistic cancer therapy of near-infrared (NIR) PTT and chemotherapy.

sp. nov., a novel halophilic bacterium isolated from salted shrimp jeotgal.

A novel bacterial species, designated FBL11, was isolated from salted shrimp jeotgal, a traditional Korean fermented food sampled in the Republic of Korea. This strain showed the highest 16S rRNA gene sequence similarity to strain F2608 (NR_181578.1) at 98.

Development of multiplex PCR for detection of foodborne pathogens in fresh produce.

Foodborne pathogens present a significant public health concern where fresh produce is a key agricultural product. Rapid and sensitive detection methods are essential to ensure the safety of such produce. This study aimed to develop and optimize a modified multiplex polymerase chain reaction (mPCR) assay, which incorporates enhancements to conventional PCR, for the simultaneous detection of Escherichia coli, Salmonella, and Listeria monocytogenes in fresh produce.

Genetic characterization and in silico serotyping of 62 Salmonella enterica isolated from Korean poultry operations.

Background: The conventional method of antigen-based serotyping for Salmonella poses challenges due to the necessity of utilizing over 150 antisera. More recently, in silico Salmonella serotyping has emerged as a predictive alternative. The purpose of this study was to predict the serovars of 62 Salmonella enterica strains isolated from Korean poultry operations and their genetic characteristics using whole genome sequencing.

Wireless, Multifunctional System-Integrated Programmable Soft Robot.

Soft robots have partially or entirely provided versatile opportunities for issues or roles that cannot be addressed by conventional machine robots, although most studies are limited to designs, controls, or physical/mechanical motions. Here, we present a transformable, reconfigurable robotic platform created by the integration of magnetically responsive soft composite matrices with deformable multifunctional electronics. Magnetic compounds engineered to undergo phase transition at a low temperature can readily achieve reversible magnetization and conduct various changes of motions and shapes.

Current understanding of the etiology, diagnosis, treatment, and management of peri-implant diseases: a narrative review for the consensus report of the Korean Academy of Periodontology.

Over the past few decades, dental implants have been successfully utilized to replace teeth lost due to periodontal disease and other conditions. However, similar to natural teeth, dental implants are vulnerable to inflammatory peri-implant diseases, which can compromise their long-term viability. This review aims to summarize the current understanding of peri-implant diseases and discuss effective strategies for their diagnosis, treatment, and long-term management.

Direct On-Chip Diagnostics of / Complex in Bovine Mastitis Using Bioinformatics-Driven Portable qPCR.

This study introduces an innovative on-site diagnostic method for rapidly detecting the / complex (SBSEC), crucial for livestock health and food safety. Through a comprehensive genomic analysis of 206 genomes, this study identified genetic markers that improved classification and addressed misclassifications, particularly in genomes labeled and . These markers were integrated into a portable quantitative polymerase chain reaction (qPCR) that can detect SBSEC species with high sensitivity (down to 10 or 10 colony-forming units/mL).

Denfivontinib Activates Effector T Cells Through the NLRP3 Inflammasome, Yielding Potent Anticancer Effects by Combination with Pembrolizumab.

Various combination therapies have been investigated to overcome the limitations of using immune checkpoint inhibitors. However, determining the optimal combination therapy remains challenging. To overcome the therapeutic limitation, we conducted a translational research to elucidate the mechanisms by which AXL inhibition enhances antitumor effects when combined with anti-PD-1 antibody therapy.

Development of Ocular Muscle Stimulation Systems and Optimization of Electrical Stimulus Parameters for Paralytic Strabismus Treatment.

Paralysis of the extraocular muscles can lead to complications such as strabismus, diplopia, and loss of stereopsis. Current surgical treatments aim to mitigate these issues by resecting the paralyzed muscle or transposing the other recti muscles to the paralyzed muscle, but they do not fully improve the patient's quality of life. Electrical stimulation shows promise, while requiring further in vivo experiments and research on various stimulation parameters.

Integration of MALDI-TOF MS and machine learning to classify enterococci: A comparative analysis of supervised learning algorithms for species prediction.

This research focused on distinguishing distinct matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) spectral signatures of three Enterococcus species. We evaluated and compared the predictive performance of four supervised machine learning algorithms, K-nearest neighbor (KNN), support vector machine (SVM), and random forest (RF), to accurately classify Enterococcus species. This study involved a comprehensive dataset of 410 strains, generating 1640 individual spectra through on-plate and off-plate protein extraction methods.

Strain-Programmed Adhesive Patch for Accelerated Photodynamic Wound Healing.

As an alternative to tissue adhesives, photochemical tissue bonding is investigated for advanced wound healing. However, these techniques suffer from relatively slow wound healing with bleeding and bacterial infections. Here, the versatile attributes of afterglow luminescent particles (ALPs) embedded in dopamine-modified hyaluronic acid (HA-DOPA) patches for accelerated wound healing are presented.

CD81 and CD82 expressing tumor-infiltrating lymphocytes in the NSCLC tumor microenvironment play a crucial role in T-cell activation and cytokine production.

Introduction: To understand the immune system within the tumor microenvironment (TME) of non-small cell lung cancer (NSCLC), it is crucial to elucidate the characteristics of molecules associated with T cell activation.

Methods: We conducted an in-depth analysis using single-cell RNA sequencing data obtained from tissue samples of 19 NSCLC patients. T cells were classified based on the Tumor Proportion Score (TPS) within the tumor region, and molecular markers associated with activation and exhaustion were analyzed in T cells from high TPS areas.

Comparative analysis of LC-MS/MS and real-time PCR assays for efficient detection of potential allergenic silkworm.

The silkworm (Bombyx mori) has long been valued food and feed in East Asia for its abundant nutritional and medicinal attributes, conversely, it can elicit allergic responses in susceptible individuals. Therefore, the development of silkworm detection method is required to avert allergenic incidents. In this study, two methodologies, tandem mass spectrometry (LC-MS/MS) and real-time PCR, were developed to achieve effective silkworm detection.