Primary hyperparathyroidism (PHPT) with concomitant thyroid cancer is rare and is usually caused by a parathyroid adenoma rather than parathyroid carcinoma. Although an association between PHPT and well-differentiated thyroid carcinoma has been reported, it is often considered coincidental. We report a case of a 50-year-old female presenting with tingling, shoulder pain, muscle weakness, and elevated serum calcium and parathyroid hormone levels. Neck ultrasonography revealed a hypoechoic nodule in the left inferior region to the thyroid gland and thyroid nodules in both lobes. A Tc99m-MIBI parathyroid scan showed a focal hot nodule, and fine-needle aspiration confirmed papillary thyroid carcinoma, later verified by histopathology. The patient underwent surgery and was diagnosed with PHPT and papillary thyroid carcinoma. This case highlights the importance of evaluation for concomitant thyroid malignancy in PHPT patients with suspicious thyroid nodules.

Purpose: The associated factors for hypertensive retinopathy (HTR) are rarely investigated. This study aimed to identify the associated factors for HTR using a systematic review. Methods: The review included cross-sectional, case-controlled, and cohort studies on HTR risk factors published in Korean and English with full texts available from PubMed, Embase, CINAHL, Web of Science, and Korean databases. Methodological quality was assessed using the Joanna Briggs Institute (JBI) checklist. Results: Eleven studies were finally selected, and three studies including patients with hypertension without diabetes mellitus, older age, male sex, alcohol consumption, the duration of hypertension, hyperglycemia, dyslipidemia, microalbuminuria, high creatinine levels, chronic kidney disease, and cardiovascular changes were identified as factors associated with HTR. Conversely, in the remaining eight studies, younger age, non-smoking status, and renal function indicators (albuminuria, high creatinine levels, chronic kidney disease, and uric acid) were identified as associated factors. Conclusions Regardless of the inclusion of patients with diabetes mellitus, impaired kidney functions were determined as significant factors associated with retinopathy in patients with HTR. However, considering a limited number of evidence and lack of evidence to confirm causality, we recommend further research on renal function and HTR.

The brain’s substantial metabolic requirements, consuming a substantial fraction of the body’s total energy despite its relatively small mass, necessitate sophisticated metabolic mechanisms for efficient energy distribution and utilization.The astrocyte-neuron lactate shuttle (ANLS) hypothesis has emerged as a fundamental framework explaining the metabolic cooperation between astrocytes and neurons, whereby astrocyte-derived lactate serves as a crucial energy substrate for neurons. This review synthesizes current understanding of brain energy metabolism, focusing on the dual roles of lactate as both an energy substrate and a signaling molecule. We examine the molecular underpinnings of metabolic compartmentalization, particularly the differential expression of lactate dehydrogenase (LDH) isozymes between astrocytes and neurons, which facilitates directional lactate flux. Recent evidence has challenged aspects of the classical ANLS model, revealing greater metabolic flexibility in neurons than previously recognized, including substantial LDHA expression and direct glucose utilization capabilities. Our recent studies on LDHB-deficient neurons provide new insights into the compensatory mechanisms and limitations of neuronal lactate metabolism, suggesting a more nuanced understanding of the ANLS hypothesis. Furthermore, we discuss lactate’s emerging role as a signaling molecule in synaptic plasticity, memory formation, and neuroprotection, particularly in ischemic conditions where elevated lactate levels correlate with enhanced neuronal survival through prostaglandin E 2 -mediated vasodilation. This comprehensive review integrates classical perspectives with recent advances, providing an updated framework for understanding brain lactate metabolism and its therapeutic implications in neurological disorders.

Purpose: Rare diseases occur in <50 per 100000 people and require lifelong management. However, essential epidemiological data on such diseases are lacking, and a consecutive monitoring system across time and regions remains to be established. Standardized digital phenotypes are required to leverage an international data network for research on rare endocrine diseases. We developed digital phenotypes for rare endocrine diseases using the observational medical outcome partnership common data model. Materials and Methods: Digital phenotypes of three rare endocrine diseases (medullary thyroid cancer, hypoparathyroidism, pheochromocytoma/paraganglioma) were validated across three databases that use different vocabularies: Severance Hospital’s electronic health record from South Korea; IQVIA’s United Kingdom (UK) database for general practitioners; and IQVIA’s United States (US) hospital database for general hospitals. We estimated the performance of different digital phenotyping methods based on International Classification of Diseases (ICD)-10 in the UK and the US or systematized nomenclature of medicine clinical terms (SNOMED CT) in Korea. Results: The positive predictive value of digital phenotyping was higher using SNOMED CT-based phenotyping than ICD-10-based phenotyping for all three diseases in Korea (e.g., pheochromocytoma/paraganglioma: ICD-10, 58%–62%; SNOMED CT, 89%). Estimated incidence rates by digital phenotyping were as follows: medullary thyroid cancer, 0.34–2.07 (Korea), 0.13–0.30 (US); hypoparathyroidism, 0.40–1.20 (Korea), 0.59–1.01 (US), 0.00–1.78 (UK); and pheochromocytoma/paraganglioma, 0.95–1.67 (Korea), 0.35–0.77 (US), 0.00–0.49 (UK). Conclusion Our findings demonstrate the feasibility of developing digital phenotyping of rare endocrine diseases and highlight the importance of implementing SNOMED CT in routine clinical practice to provide granularity for research.

Objective: Non-pharmacological interventions (NPIs) are effective in treating gaming disorder (GD). However, studies have not comprehensively evaluated the most effective NPIs. This systematic review and meta-analysis aimed to evaluate the effects of NPIs on the prevention and reduction of GD in the general population with GD. Methods: We searched five databases (MEDLINE, Embase, Cochrane CENTRAL, PsycINFO, and CINAHL) for English-language randomized controlled trials (RCTs) published till May 12, 2024, using Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Two independent reviewers selected studies, extracted data, and assessed quality using the Cochrane Risk of Bias Tool (RoB2). Meta-analyses were conducted using a random-effect model, with effect sizes calculated using Hedges’s g and heterogeneity assessed using I2 statistics. Results: A total of 18 RCTs involving 1,950 participants were included. The NPIs included psychotherapy, behavioral interventions, and other strategies. The pooled analysis showed a significant reduction in GD severity (Hedges’s g=-0.82; 95% confidence interval, -1.23 to -0.52; I2=90.36%). Psychotherapy, particularly cognitive-behavioral therapy, showed the most substantial effect (10 studies, 1,036 participants; Hedges’s g=-1.34). Behavioral interventions (4 studies, 456 participants) and prevention-focused interventions (6 studies, 1,164 participants) had smaller but positive effects. Subgroup analyses revealed greater effectiveness of treatment interventions in adults than in adolescents. Sensitivity analyses confirmed the robustness of these results despite high heterogeneity (I2=90.36%). Conclusion NPIs, particularly psychotherapy, are effective in reducing GD severity. However, more high-quality RCTs are needed robust, evidence-based treatment guidelines.

Purpose: The associated factors for hypertensive retinopathy (HTR) are rarely investigated. This study aimed to identify the associated factors for HTR using a systematic review. Methods: The review included cross-sectional, case-controlled, and cohort studies on HTR risk factors published in Korean and English with full texts available from PubMed, Embase, CINAHL, Web of Science, and Korean databases. Methodological quality was assessed using the Joanna Briggs Institute (JBI) checklist. Results: Eleven studies were finally selected, and three studies including patients with hypertension without diabetes mellitus, older age, male sex, alcohol consumption, the duration of hypertension, hyperglycemia, dyslipidemia, microalbuminuria, high creatinine levels, chronic kidney disease, and cardiovascular changes were identified as factors associated with HTR. Conversely, in the remaining eight studies, younger age, non-smoking status, and renal function indicators (albuminuria, high creatinine levels, chronic kidney disease, and uric acid) were identified as associated factors. Conclusions Regardless of the inclusion of patients with diabetes mellitus, impaired kidney functions were determined as significant factors associated with retinopathy in patients with HTR. However, considering a limited number of evidence and lack of evidence to confirm causality, we recommend further research on renal function and HTR.

The brain’s substantial metabolic requirements, consuming a substantial fraction of the body’s total energy despite its relatively small mass, necessitate sophisticated metabolic mechanisms for efficient energy distribution and utilization.The astrocyte-neuron lactate shuttle (ANLS) hypothesis has emerged as a fundamental framework explaining the metabolic cooperation between astrocytes and neurons, whereby astrocyte-derived lactate serves as a crucial energy substrate for neurons. This review synthesizes current understanding of brain energy metabolism, focusing on the dual roles of lactate as both an energy substrate and a signaling molecule. We examine the molecular underpinnings of metabolic compartmentalization, particularly the differential expression of lactate dehydrogenase (LDH) isozymes between astrocytes and neurons, which facilitates directional lactate flux. Recent evidence has challenged aspects of the classical ANLS model, revealing greater metabolic flexibility in neurons than previously recognized, including substantial LDHA expression and direct glucose utilization capabilities. Our recent studies on LDHB-deficient neurons provide new insights into the compensatory mechanisms and limitations of neuronal lactate metabolism, suggesting a more nuanced understanding of the ANLS hypothesis. Furthermore, we discuss lactate’s emerging role as a signaling molecule in synaptic plasticity, memory formation, and neuroprotection, particularly in ischemic conditions where elevated lactate levels correlate with enhanced neuronal survival through prostaglandin E 2 -mediated vasodilation. This comprehensive review integrates classical perspectives with recent advances, providing an updated framework for understanding brain lactate metabolism and its therapeutic implications in neurological disorders.

Purpose: Rare diseases occur in <50 per 100000 people and require lifelong management. However, essential epidemiological data on such diseases are lacking, and a consecutive monitoring system across time and regions remains to be established. Standardized digital phenotypes are required to leverage an international data network for research on rare endocrine diseases. We developed digital phenotypes for rare endocrine diseases using the observational medical outcome partnership common data model. Materials and Methods: Digital phenotypes of three rare endocrine diseases (medullary thyroid cancer, hypoparathyroidism, pheochromocytoma/paraganglioma) were validated across three databases that use different vocabularies: Severance Hospital’s electronic health record from South Korea; IQVIA’s United Kingdom (UK) database for general practitioners; and IQVIA’s United States (US) hospital database for general hospitals. We estimated the performance of different digital phenotyping methods based on International Classification of Diseases (ICD)-10 in the UK and the US or systematized nomenclature of medicine clinical terms (SNOMED CT) in Korea. Results: The positive predictive value of digital phenotyping was higher using SNOMED CT-based phenotyping than ICD-10-based phenotyping for all three diseases in Korea (e.g., pheochromocytoma/paraganglioma: ICD-10, 58%–62%; SNOMED CT, 89%). Estimated incidence rates by digital phenotyping were as follows: medullary thyroid cancer, 0.34–2.07 (Korea), 0.13–0.30 (US); hypoparathyroidism, 0.40–1.20 (Korea), 0.59–1.01 (US), 0.00–1.78 (UK); and pheochromocytoma/paraganglioma, 0.95–1.67 (Korea), 0.35–0.77 (US), 0.00–0.49 (UK). Conclusion Our findings demonstrate the feasibility of developing digital phenotyping of rare endocrine diseases and highlight the importance of implementing SNOMED CT in routine clinical practice to provide granularity for research.