BACKGROUND: Exogenous Cushing’s syndrome, which results from prolonged glucocorticoid treatment, is associated with metabolic abnormalities. Previously, we reported the inhibitory effect of tonsil-derived mesenchymal stem cell conditioned medium (T-MSC CM) on glucocorticoid signal transduction. In this study, we investigated the therapeutic efficacy of T-MSCs in a mouse model of exogenous Cushing’s syndrome. METHODS: Exogenous Cushing’s syndrome model mice was generated by corticosterone administration in the drinking water for 5 weeks, and T-MSCs were injected intraperitoneally twice during the third week. Serum lipid profiles were measured using a chemistry analyzer. HepG2 cells were treated with dexamethasone and co-cultured with T-MSCs.Expression levels of genes involved in cholesterol metabolism were examined using real-time PCR. Low-density lipoprotein receptor (LDLR) protein levels were determined using western blotting and immunohistochemistry. Liver RNA extracted from the CORT and CORT ? MSC mouse groups was used for transcriptome sequencing analysis and protein– protein interaction analysis. RESULTS: Weight reduction and improvements in dyslipidemia by T-MSC administration were observed only in female mice. T-MSCs reduce circulating LDL cholesterol levels by downregulating liver X receptor a (LXRa) and inducible degrader of LDLR (IDOL) expression, thereby stabilizing LDLRs in the liver. Transcriptome analysis of liver tissue revealed pathways that are regulated by T-MSCs administration. CONCLUSION Administration of MSCs to female mice receiving chronic corticosterone treatment reduced the circulating LDL cholesterol level by downregulating the LXRa–IDOL axis in hepatocytes. These results suggest that T-MSCs may offer a novel therapeutic strategy for managing exogenous Cushing’s syndrome by regulating cholesterol metabolism.

Purpose: This study assessed the impact of hepatic fibrosis on the diagnostic performance of the controlled attenuation parameter (CAP) in quantifying hepatic steatosis in patients with chronic hepatitis B (CHB). Methods: CHB patients who underwent liver stiffness measurement (LSM) and CAP assessment using transient elastography before liver resection between 2019 and 2022 were retrospectively evaluated. Clinical data included body mass index (BMI) and laboratory parameters. The histologically determined hepatic fat fraction (HFF) and fibrosis stages were reviewed by pathologists blinded to clinical and radiologic data. The Pearson correlation coefficient between CAP and HFF was calculated. The diagnostic performance of CAP for significant hepatic steatosis (HFF ≥10%) was assessed using areas under the receiver operating curve (AUCs), stratified by fibrosis stages (F0-1 vs. F2-4). Factors significantly associated with CAP were determined by univariable and multivariable linear regression analyses. Results: Among 399 CHB patients (median age 59 years; 306 men), 16.3% showed significant steatosis. HFF ranged from 0% to 60%. Of these patients, 9.8%, 19.8%, 29.3%, and 41.1% had fibrosis stages F0-1, F2, F3, and F4, respectively. CAP positively correlated with HFF (r=0.445, P<0.001). The AUC of CAP for diagnosing significant steatosis was 0.786 (95% confidence interval [CI], 0.726 to 0.845) overall, and significantly lower in F2-4 (0.772; 95% CI, 0.708 to 0.836) than in F0-1 (0.924; 95% CI, 0.835 to 1.000) (P=0.006). Multivariable analysis showed that BMI (P<0.001) and HFF (P<0.001) significantly affected CAP, whereas LSM and fibrosis stages did not. Conclusion CAP evaluations of significant hepatic steatosis are less reliable in CHB patients with significant or more advanced (F2-4) than with no or mild (F0-1) fibrosis.

Purpose: This study compared the diagnostic performance of two attenuation imaging (ATI) modes—low-frequency (3 MHz) and high-frequency (4 MHz)—for assessing hepatic steatosis, with histopathological hepatic fat fraction (HFF) as the reference standard. Methods: This prospective single-center study enrolled participants with suspected metabolic dysfunction-associated steatotic liver disease (MASLD) scheduled for liver biopsy or surgery between June 2023 and June 2024. Attenuation coefficient (AC) values were consecutively measured using low- and high-frequency ATI modes, while the skin-to-region of interest distance (SRD) was measured simultaneously. Spearman correlation analysis evaluated the relationships of AC with HFF and SRD, and linear regression identified factors affecting AC. Diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUROC). Results: In total, 119 participants (mean age, 37.2±12.0 years; 87 men) were included, with 73 (61.3%) diagnosed with MASLD. HFF ranged from 0% to 50%. The AC values in the lowfrequency mode were significantly higher than those in the high-frequency mode (0.61 vs. 0.54 dB/cm/MHz, P<0.001). HFF significantly influenced AC in both modes, whereas SRD affected AC only in the high-frequency mode (P<0.001). AC correlated positively with HFF in both modes (r_s≥0.514, P<0.001) and negatively with SRD in the high-frequency mode (r_s=-0.338, P<0.001). The AUROC for hepatic steatosis did not differ significantly between the two modes (0.751 vs. 0.771; P=0.609). Conclusion The low-frequency mode produced higher AC values than the high-frequency mode and demonstrated comparable diagnostic accuracy for assessing hepatic steatosis. Unlike the high-frequency mode, the low-frequency mode was not influenced by SRD.

Long coronavirus disease (COVID) is a condition in which coronavirus disease 2019 (COVID-19) symptoms persist for over 3 months, and currently poses a global public health challenge. Due to varying manifestations and lack of standardized definitions, diagnostic methods, and treatments, comprehensive clinical guidelines are required. This review article, summarizing research and expert consensus up to June 2023, provides recommendations for diagnosis and long-term management of long COVID symptoms. It emphasizes thorough patient evaluation, including medical history, physical examinations, and tests, and advocates vaccination and antiviral treatments to reduce risk. Guidelines for long COVID will be updated as new knowledge emerges.

Purpose: This study explores the experiences of practitioners involved in the Community Integrated Care for Individuals with Mental Illness pilot project in A City. The project integrates healthcare, housing, rehabilitation, and welfare services to support community integration and prevent rehospitalization. Methods: A qualitative descriptive study was conducted using focus group interviews with 12 practitioners with at least six months of experience in the project. Data was analyzed using content analysis based on Downe-Wamboldt's framework. Results: Four themes emerged: (1) Integration and Maintenance, (2) Change and Advancement, (3) Communication and Connection, and (4) Need and Challenge. The project improved service continuity, enhanced multidisciplinary collaboration, and increased professional efficacy. However, challenges such as resource limitations, policy constraints, and workforce shortages were identified. Conclusion The pilot project effectively supports mental health recovery and community integration. To ensure sustainability, service expansion, policy reinforcement, and workforce development are needed. Strengthening inter-agency collaboration and public awareness will further promote community-based mental health care.

Background: Despite the necessity of long-term management for fracture risk reduction, adherence to osteoporosis pharmacotherapy remains poor. We investigated the factors influencing adherence to pharmacotherapy among Korean patients with osteoporosis, with a particular focus on treatment with bisphosphonates (BPs). Methods: Data from 725,313 osteoporosis patients newly prescribed BPs or selective estrogen receptor modulators (SERMs) between 2012 and 2014, obtained from the Korean National Health Insurance Service, were analyzed. Adherence was assessed based on compliance and persistence over a two-year period, with factors associated with adherence identified using multivariable logistic regression. Results: Only 14.8% of the patients who started BPs or SERMs sustained medication compliance, with 15.8% persisting with treatment over the two-year follow-up. Compared with BPs, patients receiving SERMs showed better compliance and persistence (odds ratios [ORs], 1.44 and 1.48, respectively; P < 0.001); while patients receiving intravenous administration showed higher compliance and persistence (ORs, 2.08 and 1.76, respectively; P < 0.001) compared with those taking oral medications. Patients placed on a quarterly dosing schedule showed improved compliance and persistence (ORs, 1.55 and 1.31, respectively; P < 0.001) compared with those on other dosing intervals. Male gender, advanced age, living outside metropolitan areas, receiving treatment in non-general hospitals, and a history of previous fractures were associated with poorer two-year adherence. Conclusion This study underscores the complex nature of medication adherence among Korean osteoporosis patients, particularly those treated with BPs. These findings accordingly indicate that medication with more convenient administration regimens and fewer side effects, coupled with suitable follow-up durations, could contribute to enhancing treatment adherence.

Purpose: This study explores the experiences of practitioners involved in the Community Integrated Care for Individuals with Mental Illness pilot project in A City. The project integrates healthcare, housing, rehabilitation, and welfare services to support community integration and prevent rehospitalization. Methods: A qualitative descriptive study was conducted using focus group interviews with 12 practitioners with at least six months of experience in the project. Data was analyzed using content analysis based on Downe-Wamboldt's framework. Results: Four themes emerged: (1) Integration and Maintenance, (2) Change and Advancement, (3) Communication and Connection, and (4) Need and Challenge. The project improved service continuity, enhanced multidisciplinary collaboration, and increased professional efficacy. However, challenges such as resource limitations, policy constraints, and workforce shortages were identified. Conclusion The pilot project effectively supports mental health recovery and community integration. To ensure sustainability, service expansion, policy reinforcement, and workforce development are needed. Strengthening inter-agency collaboration and public awareness will further promote community-based mental health care.

Background: Despite the necessity of long-term management for fracture risk reduction, adherence to osteoporosis pharmacotherapy remains poor. We investigated the factors influencing adherence to pharmacotherapy among Korean patients with osteoporosis, with a particular focus on treatment with bisphosphonates (BPs). Methods: Data from 725,313 osteoporosis patients newly prescribed BPs or selective estrogen receptor modulators (SERMs) between 2012 and 2014, obtained from the Korean National Health Insurance Service, were analyzed. Adherence was assessed based on compliance and persistence over a two-year period, with factors associated with adherence identified using multivariable logistic regression. Results: Only 14.8% of the patients who started BPs or SERMs sustained medication compliance, with 15.8% persisting with treatment over the two-year follow-up. Compared with BPs, patients receiving SERMs showed better compliance and persistence (odds ratios [ORs], 1.44 and 1.48, respectively; P < 0.001); while patients receiving intravenous administration showed higher compliance and persistence (ORs, 2.08 and 1.76, respectively; P < 0.001) compared with those taking oral medications. Patients placed on a quarterly dosing schedule showed improved compliance and persistence (ORs, 1.55 and 1.31, respectively; P < 0.001) compared with those on other dosing intervals. Male gender, advanced age, living outside metropolitan areas, receiving treatment in non-general hospitals, and a history of previous fractures were associated with poorer two-year adherence. Conclusion This study underscores the complex nature of medication adherence among Korean osteoporosis patients, particularly those treated with BPs. These findings accordingly indicate that medication with more convenient administration regimens and fewer side effects, coupled with suitable follow-up durations, could contribute to enhancing treatment adherence.

Background: We aimed to investigate the predictive values of plasma C-peptide levels and the continuous glucose monitoring (CGM)-defined coefficient of variation (CV) in risk prediction for hypoglycemia in Korean people with diabetes with normal and impaired kidney function. Methods: We analyzed data from 1,185 participants diagnosed with type 1 and type 2 diabetes who underwent blinded professional CGM between January 2009 and May 2021 at outpatient clinics. We explored correlations among CGM-defined CV, plasma C-peptide levels, and time below range at <70 and 54 mg/dL across different kidney function categories. Results: In patients with chronic kidney disease (CKD) stages 1–2 (n=934), 89.3% who had a random plasma C-peptide level higher than 600 pmol/L exhibited a CV of ≤36%. Among those in CKD stage 3 (n=161) with a random plasma C-peptide level exceeding 600 pmol/L, 66.7% showed a CV of ≤36%. In stages 4–5 of CKD (n=90), the correlation between random C-peptide levels and CV was not significant (r=–0.05, P=0.640), including cases with a CV greater than 36% despite very high random plasma C-peptide levels. Random plasma C-peptide levels and CGM-assessed CV significantly predicted hypoglycemia in CKD stages 1–2 and 1–5, respectively. Conclusion The established C-peptide criteria in Western populations are applicable to Korean people with diabetes for hypoglycemic risk prediction, unless kidney function is impaired equivalent to CKD stage 3–5. The CGM-defined CV is informative for hypoglycemic risk prediction regardless of kidney function.

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.