Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Objective: To develop a deep-learning-based bone age prediction model optimized for Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich-Pyle-based deep-learning model. Materials and Methods: A convolutional neural network was trained to predict age according to the bone development shown on a hand radiograph (bone age) using 21036 hand radiographs of Korean children and adolescents without known bone development-affecting diseases/conditions obtained between 1998 and 2019 (median age [interquartile range {IQR}], 9 [7–12] years; male:female, 11794:9242) and their chronological ages as labels (Korean model). We constructed 2 separate external datasets consisting of Korean children and adolescents with healthy bone development (Institution 1: n = 343;median age [IQR], 10 [4–15] years; male: female, 183:160; Institution 2: n = 321; median age [IQR], 9 [5–14] years; male:female, 164:157) to test the model performance. The mean absolute error (MAE), root mean square error (RMSE), and proportions of bone age predictions within 6, 12, 18, and 24 months of the reference age (chronological age) were compared between the Korean model and a commercial model (VUNO Med-BoneAge version 1.1; VUNO) trained with Greulich-Pyle-based age as the label (GP-based model). Results: Compared with the GP-based model, the Korean model showed a lower RMSE (11.2 vs. 13.8 months; P = 0.004) and MAE (8.2 vs. 10.5 months; P = 0.002), a higher proportion of bone age predictions within 18 months of chronological age (88.3% vs. 82.2%; P = 0.031) for Institution 1, and a lower MAE (9.5 vs. 11.0 months; P = 0.022) and higher proportion of bone age predictions within 6 months (44.5% vs. 36.4%; P = 0.044) for Institution 2. Conclusion The Korean model trained using the chronological ages of Korean children and adolescents without known bone development-affecting diseases/conditions as labels performed better in bone age assessment than the GP-based model in the Korean pediatric population. Further validation is required to confirm its accuracy.

Research using experimental animals has substantially contributed to advances in science and medicine. Animal experiments are nearly essential for biomedical research and development efforts. Because many animals are sacrificed, researchers should consider the welfare of experimental animals and related ethical issues, along with the successful results of their experiments. This review introduces the criteria that should be considered in terms of experimental animal ethics, based on the principles of the 3 R’s: replacement, representing careful consideration of the need for animal experiments; reduction, representing the use of the minimal number of animals to obtain meaningful experimental results; and refinement, representing continuous effects to find alternative methods to reduce pain and distress in experimental animals. Based on these principles, the following points should be considered when planning experiments: the necessity of animal experiments; alternatives to animal experiments; the relevance of the species and numbers of experimental animals; appropriate assessment and management of pain; the proper usage of sedatives, painkillers, and anesthesia; and valid timing for humane endpoints and euthanasia. These criteria are beneficial for both experimental animals and researchers because careful handling to ensure experimental animal welfare guarantees that scientific research will yield convincing, repeatable, and accurate results.

Background: Cardiac resynchronization therapy (CRT) is an effective treatment option for patients with heart failure (HF) and left ventricular (LV) dyssynchrony. However, the problem of some patients not responding to CRT remains unresolved. This study aimed to propose a novel in silico method for CRT simulation. Methods: Three-dimensional heart geometry was constructed from computed tomography images. The finite ele‑ ment method was used to elucidate the electric wave propagation in the heart. The electric excitation and mechani‑ cal contraction were coupled with vascular hemodynamics by the lumped parameter model. The model parameters for three-dimensional (3D) heart and vascular mechanics were estimated by matching computed variables with measured physiological parameters. CRT effects were simulated in a patient with HF and left bundle branch block (LBBB). LV end-diastolic (LVEDV) and end-systolic volumes (LVESV), LV ejection fraction (LVEF), and CRT responsiveness measured from the in silico simulation model were compared with those from clinical observation. A CRT responder was defined as absolute increase in LVEF ≥ 5% or relative increase in LVEF ≥ 15%. Results: A 68-year-old female with nonischemic HF and LBBB was retrospectively included. The in silico CRT simu‑ lation modeling revealed that changes in LVEDV, LVESV, and LVEF by CRT were from 174 to 173 mL, 116 to 104 mL, and 33 to 40%, respectively. Absolute and relative ΔLVEF were 7% and 18%, respectively, signifying a CRT responder.In clinical observation, echocardiography showed that changes in LVEDV, LVESV, and LVEF by CRT were from 162 to 119 mL, 114 to 69 mL, and 29 to 42%, respectively. Absolute and relative ΔLVESV were 13% and 31%, respectively, also signifying a CRT responder. CRT responsiveness from the in silico CRT simulation model was concordant with that in the clinical observation. Conclusion This in silico CRT simulation method is a feasible technique to screen for CRT non-responders in patients with HF and LBBB.

Objective: To develop a set of reference standards for tibial motor, common peroneal motor, sural sensory, and superficial peroneal sensory nerve conduction studies (NCSs) with expanded uncertainty in a healthy Korean population. Methods: Standardized procedures were conducted for individual lower extremity NCSs of 199 healthy participants in their 20s (n=100) and 50s (n=99). Mean values and expanded uncertainties for parameters were analyzed with thorough consideration of multiple uncertainty factors under the International Guide to the Expression of Uncertainty in Measurement. In addition, side-to-side differences in onset latency, amplitude, and nerve conduction velocity (NCV) were analyzed. Results: Mean (reference range) for distal onset latency, baseline to negative peak amplitude, NCV of tibial motor nerve in males in their 20s were 4.3 ms (3.1–5.4 ms), 7.1 mV (3.4–10.9 mV), and 50.7 m/s (42.2–59.3 m/s), respectively; sural sensory nerve baseline to negative peak amplitude in males in their 20s was 21.7 μV (8.3–35.2 μV). Including the aforementioned data, we present a vast dataset of normative mean values and expanded uncertainties for NCSs of the leg in a healthy Korean population. Furthermore, upper limits for normal side-to-side differences for onset latency, amplitude, and NCV of each nerve are suggested. Conclusion To our knowledge, this is the first study to present the reference standards of leg NCSs with consideration for multifactorial uncertainties in an Asian population. We expect these results to help practitioners make reliable and reproducible clinical decisions.

Background: Angiotensin type II receptor blockers (ARBs) are the most widely used antihypertensive drugs. This study aimed to elucidate the likelihood and pattern of ARB-induced liver injury in a hospital-based cohort. Methods: Data of patients receiving fimasartan (n = 5,543), candesartan (n = 6,406), valsartan (n = 6,040), and losartan (n = 9,126) were retrieved from the clinical data warehouse of two tertiary hospitals. Patients with alanine aminotransferase (ALT) levels > 5 times the upper normal limit were assessed according to the Roussel Uclaf Causality Assessment Method (RUCAM). Results: A total of 27,115 patients were enrolled, including 14,630 (54.0%) men, with a mean age of 64.6 years (standard deviation, 13.6). During 31,717 person-years of ARB therapy, serum ALT levels > 120 IU/L were found in 558 (2.1%) person-years, and levels > 200 IU/L were found in 155 (0.6%) person-years. The incidence of ALT elevation > 120 IU/L per 10 6cumulative defined daily doses was 6.6, 3.6, 3.9, and 4.0 in the fimasartan, candesartan, valsartan, and losartan groups, respectively (P = 0.002). An ALT level > 200 IU/L with RUCAM score ≥ 6 was found in 20 patients, suggesting probable drug-induced liver injury for 11 (0.2%) patients receiving fimasartan, five (0.1%) receiving candesartan, four (0.1%) receiving valsartan, and none receiving losartan (P < 0.001). Conclusion Approximately 2% of patients receiving ARB therapy had significant ALT elevation (4.24/10 6 cumulative defined daily doses [cDDDs]), which was associated with probable ARB-related liver injury in 0.07% of patients (0.15/10 6 cDDDs). Elevation of ALT was more commonly associated with fimasartan than the other ARBs. Clinicians should be aware of the possibility of ARB-related ALT elevation in patients with unexplained chronic abnormal ALT.