1.Comparative Study of 3-Dimensional-Printed Poly-L-Lactic Acid/Bone Morphogenetic Protein (BMP)/Collagen Bone Substitute and Commercial Hydroxyapatite/BMP for Bone Regeneration Efficacy Using a Mouse Calvarial Model
Tae Ho KIM ; Yu Ri HONG ; Jeong Ok LIM ; Chang-Wug OH
Clinics in Orthopedic Surgery 2025;17(2):340-345
Background:
Bone substitutes such as hydroxyapatite (HA) ceramic and recombinant bone morphogenetic protein-2 (BMP-2) are essential in treating bone defects. However, the challenges of controlled and localized BMP-2 delivery necessitate the development of advanced bone graft substitutes. This study introduces and evaluates an innovative, ready-to-use bone substitute employing 3-dimensional-printed poly-L-lactic acid (PLLA) scaffolds combined with BMP-2 to enhance bone regeneration efficiency.
Methods:
We conducted a comparative study using C57BL/6 mice to evaluate the efficacy of rhBMP-2-coated PLLA scaffolds against traditional HA-based bone graft materials. The PLLA scaffolds were coated with varying concentrations of BMP-2 using an alginate-catechol method. Bone regeneration was assessed through micro-computed tomography (CT) imaging and histological analysis 4 weeks after implantation. The statistical significance of bone mass and formation differences across groups was determined using Student t-test and analysis of variance.
Results:
Micro-CT analysis revealed substantial bone formation in the group with PLLA scaffolds containing 0.1% BMP-2, exhibiting a bone volume ratio of 11.1% ± 2.8%, significantly higher than all other groups (p = 0.008). Histological analysis corroborated these findings, showing dense collagen deposition and active osteoblast presence in this group, indicating enhanced bone regeneration.
Conclusions
The novel PLLA scaffold with alginate-catechol-coated BMP-2 significantly enhances bone regeneration compared to traditional bone graft materials. This innovative approach holds promising potential for clinical applications in orthopedics, particularly for treating bone defects.
2.Clinical Practice Guidelines for Dementia: Recommendations for Cholinesterase Inhibitors and Memantine
Yeshin KIM ; Dong Woo KANG ; Geon Ha KIM ; Ko Woon KIM ; Hee-Jin KIM ; Seunghee NA ; Kee Hyung PARK ; Young Ho PARK ; Gihwan BYEON ; Jeewon SUH ; Joon Hyun SHIN ; YongSoo SHIM ; YoungSoon YANG ; Yoo Hyun UM ; Seong-il OH ; Sheng-Min WANG ; Bora YOON ; Sun Min LEE ; Juyoun LEE ; Jin San LEE ; Jae-Sung LIM ; Young Hee JUNG ; Juhee CHIN ; Hyemin JANG ; Miyoung CHOI ; Yun Jeong HONG ; Hak Young RHEE ; Jae-Won JANG ;
Dementia and Neurocognitive Disorders 2025;24(1):1-23
Background:
and Purpose: This clinical practice guideline provides evidence-based recommendations for treatment of dementia, focusing on cholinesterase inhibitors and N-methyl-D-aspartate (NMDA) receptor antagonists for Alzheimer’s disease (AD) and other types of dementia.
Methods:
Using the Population, Intervention, Comparison, Outcomes (PICO) framework, we developed key clinical questions and conducted systematic literature reviews. A multidisciplinary panel of experts, organized by the Korean Dementia Association, evaluated randomized controlled trials and observational studies. Recommendations were graded for evidence quality and strength using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology.
Results:
Three main recommendations are presented: (1) For AD, cholinesterase inhibitors (donepezil, rivastigmine, galantamine) are strongly recommended for improving cognition and daily function based on moderate evidence; (2) Cholinesterase inhibitors are conditionally recommended for vascular dementia and Parkinson’s disease dementia, with a strong recommendation for Lewy body dementia; (3) For moderate to severe AD, NMDA receptor antagonist (memantine) is strongly recommended, demonstrating significant cognitive and functional improvements. Both drug classes showed favorable safety profiles with manageable side effects.
Conclusions
This guideline offers standardized, evidence-based pharmacologic recommendations for dementia management, with specific guidance on cholinesterase inhibitors and NMDA receptor antagonists. It aims to support clinical decision-making and improve patient outcomes in dementia care. Further updates will address emerging treatments, including amyloid-targeting therapies, to reflect advances in dementia management.
3.Alpha-Tocopherol-Loaded Liposomes Reduce High Glucose Induced Oxidative Stress in Schwann Cells: A Proof of Concept Study
Jee-In HEO ; Mi Jeong KIM ; Daehyun KIM ; Jimin SEO ; Joon Ho MOON ; Sung Hee CHOI ; Hak Jong LEE ; Tae Jung OH
Diabetes & Metabolism Journal 2025;49(3):507-512
Although oxidative stress is the main pathophysiology of the development of diabetic neuropathy, oral administration of antioxidants has given disappointing results. Here, we hypothesized that local delivery of antioxidants would provide protective effects on Schwann cells due to the high concentration of local lesions. We prepared alpha-tocopherol (ATF)-loaded liposomes and tested their skin penetration after sonication. An in vitro study using IMS-32 cells was conducted to determine the level of reactive oxygen species (ROS) scavenging effects of ATF-liposomes. ATF reduced ROS in high-glucose-exposed IMS-32 cells in a dosedependent manner. ATF-liposomes also reduced the ROS level in vitro and ultrasound irradiation enhanced delivery to the dermis in porcine ear skin. This study showed that it is feasible to deliver ATF through the skin and can effectively reduce ROS. This model is worthy of development for clinical use.
4.Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application
Jinyoung KIM ; Min-Hee KIM ; Dong-Jun LIM ; Hankyeol LEE ; Jae Jun LEE ; Hyuk-Sang KWON ; Mee Kyoung KIM ; Ki-Ho SONG ; Tae-Jung KIM ; So Lyung JUNG ; Yong Oh LEE ; Ki-Hyun BAEK
Endocrinology and Metabolism 2025;40(2):216-224
Background:
This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules.
Methods:
This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyroid clinic of a single center from April 2010 to September 2012. Thyroid nodules with cytopathologic results of Bethesda category V (suspicious for malignancy) or VI (malignant) were defined as thyroid cancer. Multiple deep learning algorithms based on convolutional neural networks (CNNs) —ResNet, DenseNet, and EfficientNet—were utilized, and Siamese neural networks facilitated multi-view analysis of paired transverse and longitudinal ultrasound images.
Results:
Among 1,048 analyzed thyroid nodules from 943 patients, 306 (29%) were identified as thyroid cancer. In a subgroup analysis of transverse and longitudinal images, longitudinal images showed superior prediction ability. Multi-view modeling, based on paired transverse and longitudinal images, significantly improved the model performance; with an accuracy of 0.82 (95% confidence intervals [CI], 0.80 to 0.86) with ResNet50, 0.83 (95% CI, 0.83 to 0.88) with DenseNet201, and 0.81 (95% CI, 0.79 to 0.84) with EfficientNetv2_ s. Training with high-resolution images obtained using the latest equipment tended to improve model performance in association with increased sensitivity.
Conclusion
CNN algorithms applied to ultrasound images demonstrated substantial accuracy in thyroid nodule classification, indicating their potential as valuable tools for diagnosing thyroid cancer. However, in real-world clinical settings, it is important to aware that model performance may vary depending on the quality of images acquired by different physicians and imaging devices.
5.Metabolic Phenotypes of Women with Gestational Diabetes Mellitus Affect the Risk of Adverse Pregnancy Outcomes
Joon Ho MOON ; Sookyung WON ; Hojeong WON ; Heejun SON ; Tae Jung OH ; Soo Heon KWAK ; Sung Hee CHOI ; Hak Chul JANG
Endocrinology and Metabolism 2025;40(2):247-257
Background:
Gestational diabetes mellitus (GDM) affects women with diverse pathological phenotypes, but little is known about the effects of this variation on perinatal outcomes. We explored the metabolic phenotypes of GDM and their impact on adverse pregnancy outcomes.
Methods:
Women diagnosed with gestational glucose intolerance or GDM were categorized into subgroups according to their prepregnancy body mass index (BMI) and the median values of the gestational Matsuda and Stumvoll indices. Logistic regression analysis was employed to assess the odds of adverse pregnancy outcomes, such as large-for-gestational age (LGA), small-for-gestational age, preterm birth, low Apgar score, and cesarean section.
Results:
A total of 309 women were included, with a median age of 31 years and a median BMI of 22.3 kg/m2. Women with a higher pre-pregnancy BMI had a higher risk of LGA newborns (adjusted odds ratio [aOR] for pre-pregnancy BMI ≥25 kg/m2 compared to 20–23 kg/m2, 4.26; 95% confidence interval [CI], 1.99 to 9.12; P<0.001; P for trend=0.001), but the risk of other adverse pregnancy outcomes did not differ according to pre-pregnancy BMI. Women with insulin resistance had a higher risk of LGA (aOR, 1.88; 95% CI, 1.02 to 3.47; P=0.043) and cesarean section (aOR, 2.12; 95% CI, 1.29 to 3.50; P=0.003) than women in the insulin-sensitive group. In contrast, defective β-cell function did not affect adverse pregnancy outcomes.
Conclusion
Different metabolic phenotypes of GDM were associated with heterogeneous pregnancy outcomes. Women with obesity and those with insulin resistance are at greater risk of adverse outcomes and might need strict glycemic management during pregnancy.
6.Comparing 1-L and 2-L Polyethylene Glycol with Ascorbic Acid for Small Bowel Capsule Endoscopy: A Randomized Controlled Trial
Chang Kyo OH ; Sang Pyo LEE ; Jae Gon LEE ; Young Joo YANG ; Seung In SEO ; Chang Seok BANG ; Yu Jin KIM ; Woon Geon SHIN ; Jin Bae KIM ; Hyun Joo JANG ; Sea Hyub KAE ; Gwang Ho BAIK ; Hallym Gastrointestinal Study Group
Gut and Liver 2025;19(1):87-94
Background/Aims:
Small bowel capsule endoscopy (SBCE) has become the standard for initial evaluation in the diagnosis of small bowel lesions. Although optimal visualization of the mucosa is important, patients experience difficulty in consuming a large volume of bowel preparation agents. This study aimed to compare the efficacy and safety of 1-L polyethylene glycol (PEG) with ascorbic acid (AA) and 2-L PEG with AA.
Methods:
In this prospective, multicenter, non-inferiority study, patients who received SBCE were randomly assigned to consume 1-L PEG with AA or 2-L PEG with AA for small bowel preparation. The primary outcome was adequate small bowel visibility quality (SBVQ). The secondary outcomes included diagnostic yield, cecal complete rate, and adverse events.
Results:
One hundred and forty patients were enrolled in this study, 70 patients per group. In the per-protocol analysis, there were no significant differences in the adequate SBVQ rate (94.0% vs 94.3%; risk difference, –0.3; 95% confidence interval, –8.1 to 7.6; p=1.000), diagnostic yield rate (49.3% vs 48.6%, p=0.936), or cecal complete rate (88.1% vs 92.9%, p=0.338) between the 1-L PEG with AA group and 2-L PEG with AA group. The incidence of adverse events did not differ significantly between the groups (12.9% vs 11.9%, p=0.871).
Conclusions
One liter-PEG with AA is not inferior to 2-L PEG with AA in terms of adequate SBVQ for SBCE. One liter-PEG with AA can be recommended as the standard method for bowel cleansing for SBCE.
7.Assessing the Efficacy of Bortezomib and Dexamethasone for Induction and Maintenance Therapy in Relapsed/Refractory Cutaneous T-Cell Lymphoma: A Phase II CISL1701/BIC Study
Yoon Seok CHOI ; Joonho SHIM ; Ka-Won KANG ; Sang Eun YOON ; Jun Sik HONG ; Sung Nam LIM ; Ho-Young YHIM ; Jung Hye KWON ; Gyeong-Won LEE ; Deok-Hwan YANG ; Sung Yong OH ; Ho-Jin SHIN ; Hyeon-Seok EOM ; Dok Hyun YOON ; Hong Ghi LEE ; Seong Hyun JEONG ; Won Seog KIM ; Seok Jin KIM
Cancer Research and Treatment 2025;57(1):267-279
Purpose:
This multicenter, open-label, phase II trial evaluated the efficacy and safety of bortezomib combined with dexamethasone for the treatment of relapsed/refractory cutaneous T-cell lymphoma (CTCL) in previously treated patients across 14 institutions in South Korea.
Materials and Methods:
Between September 2017 and July 2020, 29 patients with histologically confirmed CTCL received treatment, consisting of eight 4-week cycles of induction therapy followed by maintenance therapy, contingent upon response, for up to one year. The primary endpoint was the proportion of patients achieving an objective global response.
Results:
Thirteen of the 29 patients (44.8%) achieved an objective global response, including two complete responses. The median progression-free survival (PFS) was 5.8 months, with responders showing a median PFS of 14.0 months. Treatment-emergent adverse events were generally mild, with a low incidence of peripheral neuropathy and hematologic toxicities. Despite the trend toward shorter PFS in patients with higher mutation burdens, genomic profiling before and after treatment showed no significant emergence of new mutations indicative of disease progression.
Conclusion
This study supports the use of bortezomib and dexamethasone as a viable and safe treatment option for previously treated CTCL, demonstrating substantial efficacy and manageability in adverse effects. Further research with a larger cohort is suggested to validate these findings and explore the prognostic value of mutation profiles.
8.Enhancing Identification of High-Risk cN0 Lung Adenocarcinoma Patients Using MRI-Based Radiomic Features
Harim KIM ; Jonghoon KIM ; Soohyun HWANG ; You Jin OH ; Joong Hyun AHN ; Min-Ji KIM ; Tae Hee HONG ; Sung Goo PARK ; Joon Young CHOI ; Hong Kwan KIM ; Jhingook KIM ; Sumin SHIN ; Ho Yun LEE
Cancer Research and Treatment 2025;57(1):57-69
Purpose:
This study aimed to develop a magnetic resonance imaging (MRI)–based radiomics model to predict high-risk pathologic features for lung adenocarcinoma: micropapillary and solid pattern (MPsol), spread through air space, and poorly differentiated patterns.
Materials and Methods:
As a prospective study, we screened clinical N0 lung cancer patients who were surgical candidates and had undergone both 18F-fluorodeoxyglucose (FDG) positron emission tomography–computed tomography (PET/CT) and chest CT from August 2018 to January 2020. We recruited patients meeting our proposed imaging criteria indicating high-risk, that is, poorer prognosis of lung adenocarcinoma, using CT and FDG PET/CT. If possible, these patients underwent an MRI examination from which we extracted 77 radiomics features from T1-contrast-enhanced and T2-weighted images. Additionally, patient demographics, maximum standardized uptake value on FDG PET/CT, and the mean apparent diffusion coefficient value on diffusion-weighted image, were considered together to build prediction models for high-risk pathologic features.
Results:
Among 616 patients, 72 patients met the imaging criteria for high-risk lung cancer and underwent lung MRI. The magnetic resonance (MR)–eligible group showed a higher prevalence of nodal upstaging (29.2% vs. 4.2%, p < 0.001), vascular invasion (6.5% vs. 2.1%, p=0.011), high-grade pathologic features (p < 0.001), worse 4-year disease-free survival (p < 0.001) compared with non-MR-eligible group. The prediction power for MR-based radiomics model predicting high-risk pathologic features was good, with mean area under the receiver operating curve (AUC) value measuring 0.751-0.886 in test sets. Adding clinical variables increased the predictive performance for MPsol and the poorly differentiated pattern using the 2021 grading system (AUC, 0.860 and 0.907, respectively).
Conclusion
Our imaging criteria can effectively screen high-risk lung cancer patients and predict high-risk pathologic features by our MR-based prediction model using radiomics.
9.Gene Expression Alteration by Non-thermal Plasma-Activated Media Treatment in Radioresistant Head and Neck Squamous Cell Carcinoma
Sicong ZHENG ; Yudan PIAO ; Seung-Nam JUNG ; Chan OH ; Mi Ae LIM ; QuocKhanh NGUYEN ; Shan SHEN ; Se-Hee PARK ; Shengzhe CUI ; Shuyu PIAO ; Young Il KIM ; Ji Won KIM ; Ho-Ryun WON ; Jae Won CHANG ; Yujuan SHAN ; Lihua LIU ; Bon Seok KOO
Clinical and Experimental Otorhinolaryngology 2025;18(1):73-87
Objectives:
. Head and neck squamous cell carcinoma (HNSCC) exhibits high recurrence rates, particularly in cases of radioresistant HNSCC (RR-HNSCC). Non-thermal plasma (NTP) therapy effectively suppresses the progression of HNSCC. However, the therapeutic mechanisms of NTP therapy in treating RR-HNSCC are not well understood. In this study, we explored the regulatory role of NTP in the RR-HNSCC signaling pathway and identified its signature genes.
Methods:
. After constructing two RR-HNSCC cell lines, we prepared cell lysates from cells treated or not treated with NTP-activated media (NTPAM) and performed RNA sequencing to determine their mRNA expression profiles. Based on the RNA sequencing results, we identified differentially expressed genes (DEGs), followed by a bioinformatics analysis to identify candidate molecules potentially associated with NTPAM therapy for RR-HNSCC.
Results:
. NTPAM reduced RR-HNSCC cell viability in vitro. RNA sequencing results indicated that NTPAM treatment activated the reactive oxygen species (ROS) pathway and induced ferroptosis in RR-HNSCC cell lines. Among the 1,924 genes correlated with radiation treatment, eight showed statistical significance in both the cell lines and The Cancer Genome Atlas (TCGA) cohort. Only five genes—ABCC3, DUSP16, PDGFB, RAF1, and THBS1—showed consistent results between the NTPAM data sequencing and TCGA data. LASSO regression analysis revealed that five genes were associated with cancer prognosis, with a hazard ratio of 2.26. In RR-HNSCC cells, NTPAM affected DUSP16, PDGFB, and THBS1 as activated markers within 6 hours, and this effect persisted for 12 hours. Furthermore, enrichment analysis indicated that these three DEGs were associated with the extracellular matrix, transforming growth factor-beta, phosphoinositide 3-kinase/protein kinase B, and mesenchymal-epithelial transition factor pathways.
Conclusion
. NTPAM therapy exerts cytotoxic effects in RR-HNSCC cell lines by inducing specific ROS-mediated ferroptosis. DUSP16, PDGFB, and THBS1 were identified as crucial targets for reversing the radiation resistance induced by NTPAM therapy, providing insights into the mechanisms and clinical applications of NTPAM treatment in RR-HNSCC.
10.The kinetics of nucleolar precursor bodies clustering at the pronuclei interface: Positive correlations with the morphokinetic characteristics of cleaving embryos and euploidy in preimplantation genetic testing programs
Hwa Soon OH ; Jung Mi JANG ; Hye Jin YOON ; Chang Woo CHOO ; Kyung Sil LIM ; Jin Ho LIM ; Yong-Pil CHEON
Clinical and Experimental Reproductive Medicine 2025;52(2):150-156
Objective:
This study investigated potential relationships between the kinetics of nucleolar precursor bodies (NPBs) in the pronucleus and developmental morphokinetics and euploidy in human preimplantation genetic testing for aneuploidy (PGT-A) cycles.
Methods:
The morphokinetic analysis of 200 blastocysts obtained from 53 PGT-A cycles was performed retrospectively in a time-lapse incubator. At the time of pronuclear breakdown (PNBD), we categorized the blastocysts into two groups based on the kinetic degree of clustering NPBs at the interface of the two pronuclei: clustered NPBs (CL) and non-clustered NPBs (NCL). We then compared morphokinetic parameters, abnormal behavioral events, and the rate of aneuploidy between the two groups.
Results:
Pronuclear fading and the first cleavage occurred earlier in the NCL group than in the CL group. However, the initiation of blastocyst formation and blastocyst expansion was delayed in the NCL group relative to the CL group. No differences were found in the rate of abnormal cleavage events, such as multinucleation at the 2-cell stage, direct cleavage from one to three cells, and from two to five cells between the CL and NCL groups. However, the fragmentation rate at the 8-cell stage was higher in the NCL group than in the CL group (10.3% vs. 1.9%, p<0.05). Additionally, the euploid rate in the CL group was significantly higher than in the NCL group (37.9% vs. 12.4%, p<0.05).
Conclusion
These results demonstrate the effectiveness of combining NPB clustering at PNBD with morphokinetics as a parameter for selecting embryos with higher developmental potential in in vitro fertilization.

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