Purpose: The chromodomain helicase DNA-binding (CHD) protein family comprises adenosine triphosphate-dependent chromatin remodelers that regulate chromatin structure and gene expression. Pathogenic CHD2 variants are associated with neurodevelopmental phenotypes, but these genotype–phenotype correlations remain unclear. This study aimed to delineate the clinical and genetic features of patients with CHD2-related disorders and to explore the associated genotype–phenotype relationships. Methods: Among 22 patients with pathogenic or likely pathogenic CHD2 variants identified using a customized 172-gene neurodevelopmental and epilepsy panel, 19 with sufficient clinical data were included. Demographic, clinical, neuroimaging, electroencephalographic, and genetic data were retrospectively reviewed. Results: Eighteen pathogenic or likely pathogenic variants were identified, including eight novel variants: nine nonsense (50.0%), five splice-site (27.8%), two missense (11.1%), and two exon deletions (11.1%). All patients had epilepsy, with a median age of seizure onset of 2.33 years. Comorbidities included global developmental delay (89.5%), intellectual disability (82.0%), and neuropsychiatric symptoms (47.4%). Seizure types were heterogeneous, with a predominance of generalized-onset seizures, and 13 patients (68.4%) achieved seizure freedom. Marked phenotypic variability was observed: two unrelated patients with the same truncating variant had different developmental and seizure-related profiles, a symptomatic child with an inherited exon 5 deletion contrasted with her asymptomatic father, and a patient with an exon 17–29 deletion exhibited relatively mild features. Conclusion Epilepsy was a consistent manifestation in this study and was accompanied by diverse developmental and neurobehavioral features, with substantial genotype–phenotype discordance. Further research on genotype–phenotype correlation is warranted.

Rectal cancer, which accounts for approximately 40% of colorectal cancers, remains a major clinical concern. Recent advances in diagnostic imaging, surgical techniques, radiotherapy, and systemic treatment have steadily improved rectal cancer outcomes. Considering this, the Korean Rectal Cancer Multidisciplinary (KRCM) Committee has aimed to provide clinicians and policymakers with up-to-date, evidence-based clinical practice guidelines to support optimal decision-making, reflecting current evidence, the Korean healthcare context, and patient values and preferences. The Clinical Practice Guidelines for Rectal Cancer version 2.0 were developed through multidisciplinary collaboration with related academic societies, building upon and updating the KRCM Clinical Practice Guidelines version 1.0 (titled “Multidisciplinary guidelines for the management of rectal cancer”). These consensus guidelines of the KRCM were established based on a comprehensive literature review, evidence synthesis, with recommendation development guided by the GRADE (Grading of Recommendations Assessment, Development and Evaluation) methodology, and consideration of applicability in real-world clinical practice under the national health insurance system. Each recommendation has been presented with its strength and level of evidence.

Purpose: A proportion of patients who undergo kidney transplantation (KT) eventually experience graft failure and require dialysis. However, the characteristics of posttransplant patients differ from non-KT patients considering the long-term use of immunosuppressants, steroids, and associated complications. These differences may influence the outcomes of vascular access (VA). This study aims to compare the VA outcomes and infection rates between KT with allograft failures and non-KT patients. Methods: We retrospectively analyzed patients who underwent VA creation between January 2018 and November 2023.A propensity score-matched cohort was created based on age and sex, comparing 61 patients who received their first VA creation after KT to 222 patients who had never undergone KT before VA creation. Results: The median VA patency was 841 days. VA abandonment within 3 months occurred in 3.2% in the non-KT group and 1.6% in the KT with failed allograft group (P = 0.845). Infection rates were also similar (4.1% vs. 3.3%, P = 0.226). Cox regression indicated that KT was not a significant risk factor for VA patency, whereas low body mass index and diabetes mellitus were significant risk factors for long-term patency. In the KT group, steroid and mammalian target of rapamycin (mTOR) inhibitor use before VA formation were identified as risk factors for primary patency. Conclusion VA outcomes in KT patients with allograft failure were comparable to those of non-KT patients. While KT status itself does not adversely affect VA patency or infection rates, patients with low body mass index, diabetes mellitus, or who are receiving steroid or mTOR inhibitors should be carefully managed.

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is a cytokine that selectively targets cancer cells and induces apoptosis. However, many cancers, including bladder cancer, develop resistance to TRAIL, limiting the efficacy of TRAIL-based therapies. This study investigated whether betulinic acid (BA), a pentacyclic triterpenoid with anticancer and chemosensitizing properties, increases TRAIL-mediated apoptosis in TRAIL-resistant human bladder cancer cells. Combination treatment with BA and TRAIL significantly increased cytotoxicity and apoptosis compared to either treatment alone. This combination treatment also increased reactive oxygen species (ROS) production, increased Bax expression and Bid cleavage (tBid formation), and downregulated Bcl-2 levels. These effects were accompanied by caspase activation via extrinsic and intrinsic pathways, leading to cytochrome c release via mitochondrial membrane destabilization, thereby contributing to increased apoptosis. Furthermore, the combination treatment inhibited phosphoinositide 3-kinase (PI3K) and Akt phosphorylation; this effect was amplified by a PI3K inhibitor but abrogated by ROS inhibition. Collectively, our results suggest that BA sensitizes bladder cancer cells to TRAILinduced apoptosis via ROS-dependent activation of the apoptotic pathway and inhibition of PI3K/Akt signaling. Therefore, the BA and TRAIL combination exhibits potential to overcome TRAIL resistance in human bladder cancer.

Purpose: Older cancer patients face unique challenges due to age-related physiological changes, increasing their vulnerability to treatment-related toxicities. Geriatric assessment (GA) is a validated tool for optimizing care, yet there is no consensus on integrating geriatric interventions into oncology. This study evaluates the feasibility of a tailored onco-geriatric intervention model incorporating the KG-7 screening tool. Materials and Methods: This prospective study included 30 patients aged ≥ 70 years with solid tumors undergoing adjuvant or palliative chemotherapy. Patients scoring ≤ 5 of KG-7 were eligible. Tailored interventions incorporating KG-7 included polypharmacy, functional status, mobility, nutrition, cognition, emotional well-being, insomnia, social support, and medical problem. KG-7, GA, and quality of life (QoL) were followed at 12 weeks. Results: Participants (median age, 79.5 years) had colon (43.3%), pancreatic (23.3%), or gastric cancer (23.3%). At baseline, most patients showed independent activities of daily living (100%)/instrumental activities of daily living (90%). However, 93.3% had abnormal GA. Particularly, 86.7% were either malnourished or at risk of malnutrition. The most frequently identified intervention needs included polypharmacy (70.0%), nutritional support (60.0%), and emotional well-being (50.0%) with high adherence (100.0%, 88.9%, and 46.7%, respectively). At 12 weeks, KG-7 scores improved in 43.8% of patients, and 69.2% of GA domains were improved. QoL analysis revealed modest improvement in Global Health Status (mean difference, 6.3; p=0.176). One-year survival rates were 92.3% and 79.4% for adjuvant and palliative groups, respectively. Conclusion The onco-geriatric intervention model incorporating KG-7 demonstrated high feasibility and potential to enhance clinical outcomes. Future studies should validate this approach in randomized trials to optimize care for older cancer patients.

Pharmacogenomic variations may significantly influence responses to commonly prescribed stroke medications. Despite accumulating evidence, genetic testing has not yet been widely integrated into stroke care. This review summarizes current evidence and provides practical guidance for clinical implementation. Pharmacogenomic studies and clinical guidelines related to antiplatelet agents, anticoagulants, and statins were reviewed, with particular emphasis on East Asian populations. Substantial evidence supports genotype-guided use of clopidogrel (CYP2C19), warfarin (CYP2C9, VKORC1, CYP4F2), and statins (SLCO1B1, ABCG2). For aspirin, PTGS1/2 and PEAR1 variants have been investigated; however, current data remain insufficient for clinical application. Regarding direct oral anticoagulants (DOACs), candidate genes such as ABCB1 and CES1 demonstrate pharmacokinetic associations, though robust clinical outcome data are lacking. Distinct allele frequencies in East Asians—such as higher prevalence of CYP2C19 and ABCG2 variants—underscore the need for population-specific strategies. Beyond single-gene approaches, polygenic risk scores, pharmacogenomic panels, and integration with multi-omics data and artificial intelligence represent promising directions for personalized therapy. Pharmacogenomic testing can enhance stroke pharmacotherapy, particularly in populations with high frequencies of actionable variants. Broader implementation requires rapid testing platforms, clinician education, tailored clinical guidelines, and real-world validation of aspirin, DOACs, and multi-gene approaches. Future research should expand population-specific studies and integrate pharmacogenomics within the broader framework of precision medicine to ensure equitable clinical benefit.

Background: Human muscle satellite (stem) cells (MuSCs) are essential for investigating muscle physiology, regeneration, and disease mechanisms. Primary cultures derived directly from human tissues offer a more physiologically relevant model than immortalized cell lines. However, the isolation and characterization of MuSCs from human upper limb tissues are limited. Therefore, this study aimed to establish and characterize a primary culture system for MuSCs obtained from human upper limb muscle tissue. Methods: Human muscle tissues were obtained from upper limb surgical specimens. Muscle samples were mechanically and enzymatically dissociated to isolate muscle-derived cells, which were cultured under standard growth conditions. Cell morphology and proliferation were monitored during the culture period. Myogenic characteristics were assessed by examining the expression of muscle-specific markers including myogenic regulatory factors and structural proteins. Additionally, myogenic differentiation capacity was evaluated by inducing differentiation and analyzing the formation of multinucleated myotubes. Results: Primary MuSCs were isolated from human upper limb tissues and expanded in vitro. The cultured cells exhibited a typical spindle-shaped morphology and demonstrated significant proliferative capacity. Characterization confirmed the expression of myogenic markers, indicating the presence of muscle-derived precursor cells. Following induction of differentiation, the cells formed multinucleated myotube-like structures and expressed muscle proteins associated with differentiation, highlighting their potential for myogenic differentiation. Conclusion This study established a reliable protocol for isolating and culturing MuSCs from human upper limb tissues. Cultured cells displayed typical myogenic characteristics and differentiation capacity, indicating that this model could be a valuable platform for studying human muscle biology and potential therapeutic applications.

Background: One-lung ventilation (OLV) during thoracic surgery frequently requires approximately 100% oxygen, imposing the risk of hyperoxemia. This study aimed to assess whether oxygen reserve index (ORI)-guided fraction of inspired oxygen (FiO2) adjustment can reduce the incidence of hyperoxemia in children undergoing lung resection. Methods: This prospective, randomized controlled trial enrolled children aged < 7 years scheduled for thoracoscopic lung resection. The participants were randomly assigned to either a conventional group (FiO2 adjusted based on arterial blood gas analysis [ABGA]) or an ORI group (FiO2 titrated to maintain an ORI target of 0.15). ABGA was performed 10 and 30 min after the start of OLV (T1 and T2). The primary outcome was the incidence of hyperoxemia 30 min after OLV (T2). Results: Data from 64 children (31 conventional, 33 ORI groups) were analyzed. The incidence rate of hyperoxemia at T2 was similar between the conventional and ORI groups (54.8% vs. 60.6%, P = 0.801). However, partial pressure of arterial oxygen at T1 was significantly lower in the ORI group than in the conventional group (214.6 ± 65.5 mmHg vs. 268.8 ± 92.7 mmHg, P = 0.014). The ORI group demonstrated a lower time-weighted average FiO2 during OLV (0.79 ± 0.12 vs. 0.87 ± 0.09, P = 0.004). The ORI group required more rescue interventions than the conventional group and experienced fewer episodes of hypoxia. Conclusions ORI-guided FiO2 adjustment does not significantly reduce the incidence of hyperoxemia in children undergoing OLV but reduces time-weighted FiO2 and hypoxic events.

Background: Left bundle branch block (LBBB) significantly increases the risk of left ventricular systolic dysfunction (LVSD) due to cardiac dyssynchrony. Although artificial intelligence–enabled electrocardiography (AI-ECG) mod‑ els show promise in detecting LVSD, their performance in LBBB patients remains underexplored. We hypothesized that an AI-ECG model clinically validated for detecting LVSD would accurately detect LVSD and predict future clinical outcomes in LBBB patients. Methods: In this retrospective multicenter study, 5,689 expert-validated LBBB ECGs collected from 2,813 patients between 2016 and 2024 were analyzed using a previously developed and validated AI-ECG model. LVSD was defined as an ejection fraction of ≤ 40%. Model performance was assessed using the area under the receiver operating char‑ acteristic curve (AUROC), the area under the precision-recall curve (AUPRC), sensitivity, and specificity. Patients were stratified into high- and low-risk groups based on a threshold that achieved 90% sensitivity. A Kaplan–Meier analysis was used to compare clinical outcomes. Results: Among the 2,813 LBBB patients (mean age, 70.7 years; male sex, 43.7%), hypertension and a history of heart failure were common. The AiTiALVSD model showed strong diagnostic performance for LVSD (AUROC, 0.930 [95% CI, 0.924–0.937]; AUPRC, 0.913 [95% CI, 0.902–0.923]; sensitivity, 0.979; specificity, 0.473). During the mean follow-up of 4.1 years, high-risk patients had significantly higher hazards than low-risk patients for all-cause mortality (adjusted hazard ratio [HR], 1.87; 95% CI, 1.53–2.28), implantable cardioverter defibrillator/cardiac resynchronization therapy implantation (adjusted HR, 15.2; 95% CI, 7.51–30.77), and cardiovascular hospitalization (adjusted HR, 1.11; 95% CI, 0.96–1.28). Conclusions AiTiALVSD effectively detects LVSD and stratifies long-term cardiovascular risk in LBBB patients, support‑ ing its clinical utility for early detection and patient management.