- A Meaningful Journey to Predict Fractures with Deep Learning
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Ha J
- KMID: 2532861
- Endocrinol Metab.
- 2022 Aug;37(4):617-619.
- doi: 10.3803/EnM.2022.403
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- Efficient Dissociation Protocol for Generation of Single Cell Suspension from Human Thyroid Tissue for Single Cell RNA Sequencing
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Yi S, Kim HJ, Koo BS, Lee SE, Choi J, Kang YE
- KMID: 2532869
- Endocrinol Metab.
- 2022 Aug;37(4):698-700.
- doi: 10.3803/EnM.2022.1536
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- Long-Term Outcomes of Congenital Adrenal Hyperplasia
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Nordenström A, Lajic S, Falhammar H
- KMID: 2532858
- Endocrinol Metab.
- 2022 Aug;37(4):587-598.
- doi: 10.3803/EnM.2022.1528
A plethora of negative long-term outcomes have been associated with congenital adrenal hyperplasia (CAH). The causes are multiple and involve supra-physiological gluco- and mineralocorticoid replacement, excess adrenal androgens both intrauterine... -
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- Association between the Blautia/Bacteroides Ratio and Altered Body Mass Index after Bariatric Surgery
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Kim Y, Son D, Kim BK, Kim KH, Seo KW, Jung K, Park SJ, Lim S, Kim JH
- KMID: 2532870
- Endocrinol Metab.
- 2022 Aug;37(4):701-702.
- doi: 10.3803/EnM.2022.401
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- Lipoprotein Lipase: Is It a Magic Target for the Treatment of Hypertriglyceridemia
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Moon JH, Kim K, Choi SH
- KMID: 2532857
- Endocrinol Metab.
- 2022 Aug;37(4):575-586.
- doi: 10.3803/EnM.2022.402
High levels of triglycerides (TG) and triglyceride-rich lipoproteins (TGRLs) confer a residual risk of cardiovascular disease after optimal low-density lipoprotein cholesterol (LDL-C)–lowering therapy. Consensus has been made that LDL-C is... -
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- Quality of Life of Survivors of Thyroid Cancer Is Not Inferior to That in Subjects without Cancer: Long-Term after Over 5 Years
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Lee J, Lee YJ, Lim DJ, Lee JM, Chang SA, Kim MH
- KMID: 2532866
- Endocrinol Metab.
- 2022 Aug;37(4):664-673.
- doi: 10.3803/EnM.2022.1499
Background: Patients with thyroid cancer undergo less extensive surgery and additional therapies compared to those with other cancers. We aimed to compare the quality of life (QoL) between patients with... -
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- A Key Metabolic Regulator of Bone and Cartilage Health
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Pérez-Hernández E, Pastrana-Carballo JJ, Gómez-Chávez F, Gupta RC, Pérez-Hernández N
- KMID: 2532856
- Endocrinol Metab.
- 2022 Aug;37(4):559-574.
- doi: 10.3803/EnM.2022.1443
Taurine, a cysteine-derived zwitterionic sulfonic acid, is a common ingredient in energy drinks and is naturally found in fish and other seafood. In humans, taurine is produced mainly in the... -
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- Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes
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Baek Hs, Park JY, Yu J, Lee J, Yang Y, Ha J, Lee SH, Cho JH, Lim DJ, Kim HS
- KMID: 2532864
- Endocrinol Metab.
- 2022 Aug;37(4):641-651.
- doi: 10.3803/EnM.2022.1501
Background: The prevalence of young-onset diabetes (YOD) has been increasing worldwide. As the incidence of YOD increases, it is necessary to determine the characteristics of YOD and the factors that... -
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- Advances in Pituitary Surgery
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Byun YH, Kang H, Kim YH
- KMID: 2532860
- Endocrinol Metab.
- 2022 Aug;37(4):608-616.
- doi: 10.3803/EnM.2022.1546
Pituitary surgery has advanced considerably in recent years with the exploration and development of various endoscopic approaches and techniques. Different endoscopic skull base approaches are being applied to access sellar... -
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- Clinical and Technical Aspects in Free Cortisol Measurement
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Choi MH
- KMID: 2532859
- Endocrinol Metab.
- 2022 Aug;37(4):599-607.
- doi: 10.3803/EnM.2022.1549
Accurate measurement of cortisol is critical in adrenal insufficiency as it reduces the risk associated with misdiagnosis and supports the optimization of stress dose. Comprehensive assays have been developed to... -
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- Frequency of TERT Promoter Mutations in Real-World Analysis of 2,092 Thyroid Carcinoma Patients
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Yang H, Park H, Ryu HJ, Heo J, Kim JS, Oh YL, Choe JH, Kim JH, Kim JS, Jang HW, Kim TH, Kim SW, Chung JH
- KMID: 2532865
- Endocrinol Metab.
- 2022 Aug;37(4):652-663.
- doi: 10.3803/EnM.2022.1477
Background: Telomerase reverse transcriptase (TERT) promoter mutations are associated with increased recurrence and mortality in patients with thyroid carcinoma. Previous studies on TERT promoter mutations were retrospectively conducted on a... -
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- The Effects of Irisin on the Interaction between Hepatic Stellate Cell and Macrophage in Liver Fibrosis
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Do DV, Park SY, Nguyen GT, Choi DH, Cho EH
- KMID: 2532862
- Endocrinol Metab.
- 2022 Aug;37(4):620-629.
- doi: 10.3803/EnM.2022.1412
Background: Hepatic stellate cells (HSCs) are the central players interacting with multiple cell types in liver fibrosis. The crosstalk between HSCs and macrophages has recently become clearer. Irisin, an exercise-responsive... -
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- Protective Effect of Delta-Like 1 Homolog Against Muscular Atrophy in a Mouse Model
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Lee JY, Lee M, Lee DH, Lee Yh, Lee BW, Kang ES, Cha BS
- KMID: 2532868
- Endocrinol Metab.
- 2022 Aug;37(4):684-697.
- doi: 10.3803/EnM.2022.1446
Background: Muscle atrophy is caused by an imbalance between muscle growth and wasting. Delta-like 1 homolog (DLK1), a protein that modulates adipogenesis and muscle development, is a crucial regulator of... -
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- High Cardiorespiratory Fitness Protects against Molecular Impairments of Metabolism, Heart, and Brain with Higher Efficacy in Obesity-Induced Premature Aging
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Pantiya P, Thonusin C, Sumneang N, Ongnok B, Chunchai T, Kerdphoo S, Jaiwongkam T, Arunsak B, Siri-Angkul N, Sriwichaiin S, Chattipakorn N, Chattipakorn SC
- KMID: 2532863
- Endocrinol Metab.
- 2022 Aug;37(4):630-640.
- doi: 10.3803/EnM.2022.1430
Background: High cardiorespiratory fitness (CRF) protects against age-related diseases. However, the mechanisms mediating the protective effect of high intrinsic CRF against metabolic, cardiac, and brain impairments in non-obese versus obese... -
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- Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm
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Kong SH, Lee JW, Bae BU, Sung JK, Jung KH, Kim JH, Shin CS
- KMID: 2532867
- Endocrinol Metab.
- 2022 Aug;37(4):674-683.
- doi: 10.3803/EnM.2022.1461
Background: Since image-based fracture prediction models using deep learning are lacking, we aimed to develop an X-ray-based fracture prediction model using deep learning with longitudinal data. Methods: This study included 1,595... -
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