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 liver, and it can also be obtained from food. In target tissues, such as the retina, heart, and skeletal muscle, it functions as an essential antioxidant, osmolyte, and antiapoptotic agent. Taurine is also involved in energy metabolism and calcium homeostasis. Taurine plays a considerable role in bone growth and development, and high-profile reports have demonstrated the importance of its metabolism for bone health. However, these reports have not been collated for more than 10 years. Therefore, this review focuses on taurine–bone interactions and covers recently discovered aspects of taurine’s effects on osteoblastogenesis, osteoclastogenesis, bone structure, and bone pathologies (e.g., osteoporosis and fracture healing), with due attention to the taurine–cartilage relationship.
Citations
Citations to this article as recorded by
An in-silico approach to the potential modulatory effect of taurine on sclerostin (SOST) and its probable role during osteoporosis Mazumder Adhish, I. Manjubala Journal of Biomolecular Structure and Dynamics.2024; 42(17): 9002. CrossRef
Anti-osteoporotic effects of enzymatic hydrolysates of mackerel Scomber japonicus byproduct in MC3T3-E1 cells and ovariectomized rat model Seung Tae Im, Minji Kim, Wook Chul Kim, Yun-Su Lee, Seung-Hong Lee Fisheries Science.2024; 90(4): 643. CrossRef
Metabolomics analysis of the potential mechanism of Yi-Guan-Jian decoction to reverse bone loss in glucocorticoid-induced osteoporosis Mengxing Yin, Dezhi Zhou, Fu Jia, Xiaosan Su, Xiufang Li, Ruifen Sun, Junmin Li Journal of Orthopaedic Surgery and Research.2023;[Epub] CrossRef
Flattening the biological age curve by improving metabolic health: to taurine or not to taurine, that’ s the question Kwok M. Ho, Anna Lee, William Wu, Matthew T.V. Chan, Lowell Ling, Jeffrey Lipman, Jason Roberts, Edward Litton, Gavin M. Joynt, Martin Wong Journal of Geriatric Cardiology.2023; 20(11): 813. CrossRef
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 a non-arguable primary target for lipid lowering treatment, but the optimization of TGRL for reducing the remnant risk of cardiovascular diseases is urged. Omega-3 fatty acids and fibrates are used to reduce TG levels, but many patients still have high TG and TGRL levels combined with low high-density lipoprotein concentration that need to be ideally treated. Lipoprotein lipase (LPL) is a key regulator for TGs that hydrolyzes TGs to glycerol and free fatty acids in lipoprotein particles for lipid storage and consumption in peripheral organs. A deeper understanding of human genetics has enabled the identification of proteins regulating the LPL activity, which include the apolipoproteins and angiopoietin-like families. Novel therapeutic approach such as antisense oligonucleotides and monoclonal antibodies that regulate TGs have been developed in recent decades. In this article, we focus on the biology of LPL and its modulators and review recent clinical application, including genetic studies and clinical trials of novel therapeutics. Optimization of LPL activity to lower TG levels could eventually reduce incident atherosclerotic cardiovascular disease in conjunction with successful LDL-C reduction.
Citations
Citations to this article as recorded by
The chylomicron saga: time to focus on postprandial metabolism Alejandro Gugliucci Frontiers in Endocrinology.2024;[Epub] CrossRef
Sanghuangporus vaninii extract ameliorates hyperlipidemia in rats by mechanisms identified with transcriptome analysis Ning Gao, Yuanzhen Liu, Guangjie Liu, Bo Liu, Yupeng Cheng Food Science & Nutrition.2024; 12(5): 3360. CrossRef
Targeting host-specific metabolic pathways—opportunities and challenges for anti-infective therapy Monika I. Konaklieva, Balbina J. Plotkin Frontiers in Molecular Biosciences.2024;[Epub] CrossRef
Obesity, dyslipidemia, and cardiovascular disease: A joint expert review from the Obesity Medicine Association and the National Lipid Association 2024 Harold Edward Bays, Carol Kirkpatrick, Kevin C. Maki, Peter P. Toth, Ryan T. Morgan, Justin Tondt, Sandra Michelle Christensen, Dave Dixon, Terry A. Jacobson Obesity Pillars.2024; 10: 100108. CrossRef
Role of Fenofibrate Use in Dyslipidemia and Related Comorbidities in the Asian Population: A Narrative Review Chaicharn Deerochanawong, Sin Gon Kim, Yu-Cheng Chang Diabetes & Metabolism Journal.2024; 48(2): 184. CrossRef
Xanthohumol, a prenylated chalcone, regulates lipid metabolism by modulating the LXRα/RXR-ANGPTL3-LPL axis in hepatic cell lines and high-fat diet-fed zebrafish models Wan-Yun Gao, Pei-Yi Chen, Hao-Jen Hsu, Je-Wen Liou, Chia-Ling Wu, Ming-Jiuan Wu, Jui-Hung Yen Biomedicine & Pharmacotherapy.2024; 174: 116598. CrossRef
Obesity, dyslipidemia, and cardiovascular disease: A joint expert review from the Obesity Medicine Association and the National Lipid Association 2024 Harold Edward Bays, Carol F. Kirkpatrick, Kevin C. Maki, Peter P. Toth, Ryan T. Morgan, Justin Tondt, Sandra Michelle Christensen, Dave L. Dixon, Terry A. Jacobson Journal of Clinical Lipidology.2024; 18(3): e320. CrossRef
Factors associated with treatment responses to pioglitazone in patients with steatotic liver disease: A 3‐year prospective cohort study Ming‐Ling Chang, Jennifer Tai, Jur‐Shan Cheng, Wei‐Ting Chen, Sien‐Sing Yang, Cheng‐Hsun Chiu, Rong‐Nan Chien Diabetes, Obesity and Metabolism.2024; 26(7): 2969. CrossRef
Efficacy and safety of omega‐3‐acid ethyl acetate 90 capsules in severe hypertriglyceridemia: A randomized, controlled, multicenter study Wang Zhao, Yangang Wang, Jin Li, Tao Chen, Delu Yin, Hailong Dai, Zhuhua Yao, Shuiping Zhao Lipids.2024; 59(5): 145. CrossRef
Lipoprotein lipase as a target for obesity/diabetes related cardiovascular disease Rui Shang, Brian Rodrigues Journal of Pharmacy & Pharmaceutical Sciences.2024;[Epub] CrossRef
The Relationship Between Remnant Cholesterol and Visceral Adipose
Tissue: A National Cross-Sectional Study Zhaoxiang Wang, Shao Zhong, Menghuan Wu, Xuejing Shao, Tian Gu, Mengjiao Xu, Qichao Yang Hormone and Metabolic Research.2024;[Epub] CrossRef
Targeting Apolipoprotein C-III for the Management of Severe Hypertriglyceridemia: Current Research and Future Directions Mili Shah, Abisheikh Sharma, Mohammed Ayyad, Ethan Swartz, Danyaal Jafrani, Dhir Gala Cureus.2024;[Epub] CrossRef
Angiopoietin-like Proteins and Lipoprotein Lipase: The Waltz Partners That Govern Triglyceride-Rich Lipoprotein Metabolism? Impact on Atherogenesis, Dietary Interventions, and Emerging Therapies Alejandro Gugliucci Journal of Clinical Medicine.2024; 13(17): 5229. CrossRef
Proteo-genomic analyses in relatively lean Chinese adults identify proteins and pathways that affect general and central adiposity levels Andri Iona, Pang Yao, Alfred Pozarickij, Christiana Kartsonaki, Saredo Said, Neil Wright, Kuang Lin, Iona Millwood, Hannah Fry, Mohsen Mazidi, Baihan Wang, Yiping Chen, Huaidong Du, Ling Yang, Daniel Avery, Dan Schmidt, Dianjianyi Sun, Pei Pei, Jun Lv, Ca Communications Biology.2024;[Epub] CrossRef
High producer variant of lipoprotein lipase may protect from hepatocellular carcinoma in alcohol-associated cirrhosis Franziska Schmalz, Janett Fischer, Hamish Innes, Stephan Buch, Christine Möller, Madlen Matz-Soja, Witigo von Schönfels, Benjamin Krämer, Bettina Langhans, Alexandra Klüners, Michael Soyka, Felix Stickel, Jacob Nattermann, Christian P. Strassburg, Thomas JHEP Reports.2023; 5(4): 100684. CrossRef
Measurement of Serum Low Density Lipoprotein Cholesterol and Triglyceride-Rich Remnant Cholesterol as Independent Predictors of Atherosclerotic Cardiovascular Disease: Possibilities and Limitations Dieter Lütjohann, Hans-Ulrich Klör, Frans Stellaard Nutrients.2023; 15(9): 2202. CrossRef
Influence of antipsychotic medications on hyperlipidemia risk in patients with schizophrenia: evidence from a population-based cohort study and in vitro hepatic lipid homeostasis gene expression Tien-Yuan Wu, Ni Tien, Cheng-Li Lin, Yu-Cun Cheah, Chung Y. Hsu, Fuu-Jen Tsai, Yi-Jen Fang, Yun-Ping Lim Frontiers in Medicine.2023;[Epub] CrossRef
Triglyceride-Rich Lipoprotein Metabolism: Key Regulators of Their Flux Alejandro Gugliucci Journal of Clinical Medicine.2023; 12(13): 4399. CrossRef
Sugar and Dyslipidemia: A Double-Hit, Perfect Storm Alejandro Gugliucci Journal of Clinical Medicine.2023; 12(17): 5660. CrossRef
Dyslipidemia in Patients with Chronic Kidney Disease: An Updated Overview Sang Heon Suh, Soo Wan Kim Diabetes & Metabolism Journal.2023; 47(5): 612. CrossRef
Peroxisome Proliferator-Activated Receptor α in Lipoprotein Metabolism and Atherosclerotic Cardiovascular Disease Elena Valeria Fuior, Evangelia Zvintzou, Theodosios Filippatos, Katerina Giannatou, Victoria Mparnia, Maya Simionescu, Anca Violeta Gafencu, Kyriakos E. Kypreos Biomedicines.2023; 11(10): 2696. CrossRef
Developing a model to predict the early risk of hypertriglyceridemia based on inhibiting lipoprotein lipase (LPL): a translational study Julia Hernandez-Baixauli, Gertruda Chomiciute, Juan María Alcaide-Hidalgo, Anna Crescenti, Laura Baselga-Escudero, Hector Palacios-Jordan, Elisabet Foguet-Romero, Anna Pedret, Rosa M. Valls, Rosa Solà, Miquel Mulero, Josep M. Del Bas Scientific Reports.2023;[Epub] CrossRef
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 and postnatal, elevated steroid precursor and adrenocorticotropic hormone levels, living with a congenital condition as well as the proximity of the cytochrome P450 family 21 subfamily A member 2 (CYP21A2) gene to other genes. This review aims to discuss the different long-term outcomes of CAH.
Citations
Citations to this article as recorded by
Increased Prevalence of Accidents and Injuries in Congenital Adrenal Hyperplasia: A Population-based Cohort Study Henrik Falhammar, Angelica Lindén Hirschberg, Agneta Nordenskjöld, Henrik Larsson, Anna Nordenström The Journal of Clinical Endocrinology & Metabolism.2024; 109(3): e1175. CrossRef
International Newborn Screening Practices for the Early Detection of Congenital Adrenal Hyperplasia Tracey A. Conlon, Colin P. Hawkes, Jennifer J. Brady, J. Gerard Loeber, Nuala Murphy Hormone Research in Paediatrics.2024; 97(2): 113. CrossRef
Low renin forms of monogenic hypertension: review of the evidence Ugochi Chinenye Okorafor, Uchechi Chioma Okorafor Journal of Clinical Medicine of Kazakhstan.2024; 21(1): 14. CrossRef
Increased risk of nephrolithiasis: an emerging issue in children with congenital adrenal hyperplasia due to 21-hydroxylase deficiency Mariangela Chiarito, Crescenza Lattanzio, Vito D’Ascanio, Donatella Capalbo, Paolo Cavarzere, Anna Grandone, Francesca Aiello, Giorgia Pepe, Malgorzata Wasniewska, Thomas Zoller, Mariacarolina Salerno, Maria Felicia Faienza Endocrine.2024; 84(2): 727. CrossRef
Memory in female adolescents with congenital adrenal hyperplasia due to 21-hydroxylase deficiency Tania M. Espinosa Reyes, Dainy Cordero Martín, Miguel Ángel Álvarez, Henrik Falhammar Endocrine.2024; 85(3): 1379. CrossRef
Congenital adrenal hyperplasia: New biomarkers and adult treatments Bleuenn Dreves, Yves Reznik, Antoine Tabarin Annales d'Endocrinologie.2023; 84(4): 472. CrossRef
Interpretation of Steroid Biomarkers in 21-Hydroxylase Deficiency and Their Use in Disease Management Kyriakie Sarafoglou, Deborah P Merke, Nicole Reisch, Hedi Claahsen-van der Grinten, Henrik Falhammar, Richard J Auchus The Journal of Clinical Endocrinology & Metabolism.2023; 108(9): 2154. CrossRef
Impact of Newborn Screening on Adult Height in Patients With Congenital Adrenal Hyperplasia (CAH) Heike Hoyer-Kuhn, Alexander J Eckert, Gerhard Binder, Walter Bonfig, Angelika Dübbers, Stefan Riedl, Joachim Woelfle, Helmuth G Dörr, Reinhard W Holl The Journal of Clinical Endocrinology & Metabolism.2023; 108(11): e1199. CrossRef
Specialty grand challenge in adrenal endocrinology Henrik Falhammar Frontiers in Endocrinology.2023;[Epub] CrossRef
Contexts of care for people with differences of sex development Alexandra E. Kulle, Martina Jürgensen, Ulla Döhnert, Lisa Malich, Louise Marshall, Olaf Hiort Medizinische Genetik.2023; 35(3): 181. CrossRef
Cardiovascular risk in Cuban adolescents and young adults with congenital adrenal hyperplasia Tania M. Espinosa Reyes, Alba Katherine Pesántez Velepucha, Julio Oscar Cabrera Rego, Wendy Valdés Gómez, Emma Domínguez Alonso, Henrik Falhammar BMC Endocrine Disorders.2023;[Epub] CrossRef
Landscape of Adrenal Tumours in Patients with Congenital Adrenal Hyperplasia Mara Carsote, Ana-Maria Gheorghe, Claudiu Nistor, Alexandra-Ioana Trandafir, Oana-Claudia Sima, Anca-Pati Cucu, Adrian Ciuche, Eugenia Petrova, Adina Ghemigian Biomedicines.2023; 11(11): 3081. CrossRef
Editorial: Recent advances in diagnosis and treatment of congenital adrenal hyperplasia due to 21-hydroxylase deficiency Semra Çaglar Çetinkaya Frontiers in Endocrinology.2023;[Epub] CrossRef
Approach of Heterogeneous Spectrum Involving 3beta-Hydroxysteroid Dehydrogenase 2 Deficiency Andreea Gabriela Nicola, Mara Carsote, Ana-Maria Gheorghe, Eugenia Petrova, Alexandru Dan Popescu, Adela Nicoleta Staicu, Mihaela Jana Țuculină, Cristian Petcu, Ionela Teodora Dascălu, Tiberiu Tircă Diagnostics.2022; 12(9): 2168. CrossRef
Effetti di Crinecerfont sulla secrezione di ACTH nell’iperplasia surrenalica congenita: uno studio di fase 2 Marianna Rita Stancampiano, Silvia Laura Carla Meroni, Giovanna Weber, Gianni Russo L'Endocrinologo.2022; 23(6): 662. CrossRef
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 determine the levels of bioactive free cortisol and their clinical and analytical efficacies have been extensively discussed because the level of total cortisol is affected by changes in the structure or circulating levels of corticoid-binding globulin and albumin, which are the main reservoirs of cortisol in the human body. Antibody-based immunoassays are routinely used in clinical laboratories; however, the lack of molecular specificity in cortisol assessment limits their applicability to characterize adrenocortical function. Improved specificity and sensitivity can be achieved by mass spectrometry coupled with chromatographic separation methods, which is a cutting-edge technology to measure individual as well as a panel of steroids in a single analytical run. The purpose of this review is to introduce recent advances in free cortisol measurement from the perspectives of clinical specimens and issues associated with prospective analytical technologies.
Citations
Citations to this article as recorded by
Highly Responsive Bioassay for Quantification of Glucocorticoids Mathias Flensted Poulsen, Martin Overgaard, Christian Brix Folsted Andersen, Andreas Lodberg Analytical Chemistry.2024;[Epub] CrossRef
An LC-MS/MS Method for the Simultaneous Quantification of Insulin, Cortisol, Glucagon-like Peptide 1, Ghrelin, and Osteocalcin Zhichao Zhang, Hareem Siddiqi, Yu-Ping Huang, Shannon McClorry, Peng Ji, Daniela Barile, Carolyn M. Slupsky Separations.2024; 11(2): 41. CrossRef
Determination of cortisol cut-off limits and steroid dynamics in the ACTH stimulation test: a comparative analysis using Roche Elecsys Cortisol II immunoassay and LC-MS/MS Sema Okutan, Nanna Thurmann Jørgensen, Lars Engers Pedersen, Stina Willemoes Borresen, Linda Hilsted, Lennart Friis Hansen, Ulla Feldt-Rasmussen, Marianne Klose Endocrine.2024; 85(1): 321. CrossRef
Advancements in Cortisol Detection: From Conventional Methods to Next-Generation Technologies for Enhanced Hormone Monitoring Visesh Vignesh, Bernardo Castro-Dominguez, Tony D. James, Julie M. Gamble-Turner, Stafford Lightman, Nuno M. Reis ACS Sensors.2024; 9(4): 1666. CrossRef
Comparative analysis of salivary cortisol measurements using different assay methods in relation to serum-free cortisol measurement Anna Lee, Sooah Jang, Sanghoo Lee, Hyun-Kyung Park, In-Young Kim, Ryunsup Ahn, Jeong-Ho Seok, Kyoung-Ryul Lee Practical Laboratory Medicine.2024; 40: e00393. CrossRef
A dilute and shoot method for urinary free cortisol analysis by LC-MS/MS Ying Shen, Xia Luo, Qing Guan, Liming Cheng Journal of Chromatography B.2024; 1239: 124127. CrossRef
The role of thyroid hormones in assessing the survival of intensive care unit patients Daniela Bartolovic, Snezana Jovicic, Branka Terzic Vojnosanitetski pregled.2024; 81(5): 318. CrossRef
Current Challenges and Future Directions in the Assessment of Glucocorticoid Status Sophie A Clarke, Pei Chia Eng, Alexander N Comninos, Katharine Lazarus, Sirazum Choudhury, Christie Tsang, Karim Meeran, Tricia M Tan, Waljit S Dhillo, Ali Abbara Endocrine Reviews.2024;[Epub] CrossRef
Exaggerated Increases in the Serum Cortisol Level in a Woman Following Oral Contraceptive Treatment Run Yu AACE Clinical Case Reports.2024; 10(5): 206. CrossRef
A systematic review and meta-analysis of cortisol levels in Plasmodium infections Kwuntida Uthaisar Kotepui, Frederick Ramirez Masangkay, Kinley Wangdi, Aongart Mahittikorn, Hideyuki J. Majima, Manas Kotepui Scientific Reports.2024;[Epub] CrossRef
Effects of a veterinary functional music-based enrichment program on the psychophysiological responses of farm pigs Juliana Zapata Cardona, Santiago Duque Arias, Edimer David Jaramillo, Alexandre Surget, Yadira Ibargüen-Vargas, Berardo de Jesús Rodríguez Scientific Reports.2024;[Epub] CrossRef
Post traumatic stress disorder associated hypothalamic-pituitary-adrenal axis dysregulation and physical illness Stephanie Lawrence, R. Hal Scofield Brain, Behavior, & Immunity - Health.2024; 41: 100849. CrossRef
Neurobiological Implications of Chronic Stress and Metabolic Dysregulation in Inflammatory Bowel Diseases Aleksandar Sic, Kiana Cvetkovic, Eshanika Manchanda, Nebojsa Nick Knezevic Diseases.2024; 12(9): 220. CrossRef
Osteopathic Manipulation as a Method of Cortisol Modification: A Systematic Review Dylan Thibaut, Valentine Santarlas, Joseph Hoppes, Alejandra Vásquez-Castillo, Alexa Morrow, Eddie Oviedo, James Toldi Cureus.2023;[Epub] CrossRef
Pitfalls in the Diagnosis and Management of Hypercortisolism (Cushing Syndrome) in Humans; A Review of the Laboratory Medicine Perspective Kade C. Flowers, Kate E. Shipman Diagnostics.2023; 13(8): 1415. CrossRef
Electrochemical sensors for cortisol detection: Principles, designs, fabrication, and characterisation Gopi Karuppaiah, Min-Ho Lee, Shekhar Bhansali, Pandiaraj Manickam Biosensors and Bioelectronics.2023; 239: 115600. CrossRef
The role of the hypothalamic-pituitary-adrenal axis in depression across the female reproductive lifecycle: current knowledge and future directions Liisa Hantsoo, Kathleen M. Jagodnik, Andrew M. Novick, Ritika Baweja, Teresa Lanza di Scalea, Aysegul Ozerdem, Erin C. McGlade, Diana I. Simeonova, Sharon Dekel, Sara L. Kornfield, Michelle Nazareth, Sandra J. Weiss Frontiers in Endocrinology.2023;[Epub] CrossRef
РІВЕНЬ СТРЕСУ В ДІТЕЙ ШКІЛЬНОГО ВІКУ З COVID-19 Г. А. Павлишин, О. І. Панченко Здобутки клінічної і експериментальної медицини.2023; (4): 119. CrossRef
Corticotropin-stimulated steroid profiles to predict shock development and mortality in sepsis: From the HYPRESS study Josef Briegel, Patrick Möhnle, Didier Keh, Johanna M. Lindner, Anna C. Vetter, Holger Bogatsch, Dorothea Lange, Sandra Frank, Ludwig C. Hinske, Djillali Annane, Michael Vogeser, Michael Bauer, Thorsten Brenner, Patrick Meybohm, Markus Weigand, Matthias Gr Critical Care.2022;[Epub] CrossRef
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 tumors in different locations. Moreover, extracapsular dissection and cavernous sinus exploration have enabled gross total resection of sellar tumors where it could not have been achieved in the past. Techniques for skull base reconstruction have also progressed, allowing surgeons to remove larger and more complicated tumors than before. This review article discusses different endoscopic skull base approaches, surgical techniques for removing pituitary adenomas, and reconstruction methods for repairing postoperative low-flow and high-flow cerebrospinal fluid leakage.
Citations
Citations to this article as recorded by
The Impact of Surgical Telementoring on Reducing the Complication Rate in Endoscopic Endonasal Surgery of the Skull Base Janez Ravnik, Hojka Rowbottom, Carl H. Snyderman, Paul A. Gardner, Tomaž Šmigoc, Matic Glavan, Urška Kšela, Nenad Kljaić, Boštjan Lanišnik Diagnostics.2024; 14(17): 1874. CrossRef
Obstructive Sleep Apnea Screening and Effects of Surgery in Acromegaly: A Prospective Study Jaeyoung Cho, Jung Hee Kim, Yong Hwy Kim, Jinwoo Lee Endocrinology and Metabolism.2024; 39(4): 641. CrossRef
Serum and hair steroid profiles in patients with nonfunctioning pituitary adenoma undergoing surgery: A prospective observational study Seung Shin Park, Yong Hwy Kim, Ho Kang, Chang Ho Ahn, Dong Jun Byun, Man Ho Choi, Jung Hee Kim The Journal of Steroid Biochemistry and Molecular Biology.2023; 230: 106276. CrossRef
Pituitary disease and anaesthesia Kim Rhodes, Robert John, Astri Luoma Anaesthesia & Intensive Care Medicine.2023; 24(6): 348. CrossRef
Орфанні ендокринні захворювання: сучасні тенденції хірургічного лікування в Україні M.D. Tronko, B.B. Guda Endokrynologia.2022; 27(4): 287. CrossRef
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 myokine, was known to have a potentially protective role in liver and renal fibrosis, especially in connection with stellate cells. This study investigated the effects of irisin on the interaction between HSCs and macrophages.
Methods Tamm-Horsfall protein-1 (THP-1) human monocytes were differentiated into macrophages, polarized into the inflammatory M1 phenotype with lipopolysaccharide. Lieming Xu-2 (LX-2) cells, human HSCs, were treated with conditioned media (CM) from M1 macrophages, with or without recombinant irisin. HSCs responses to CM from M1 macrophages were evaluated regarding activation, proliferation, wound healing, trans-well migration, contractility, and related signaling pathway.
Results CM from M1 macrophages significantly promoted HSC proliferation, wound healing, transwell migration, and contractility, but not activation of HSCs. Irisin co-treatment attenuated these responses of HSCs to CM. However, CM and irisin treatment did not induce any changes in HSC activation. Further, irisin co-treatment alleviated CM-induced increase of phopho-protein kinase B (pAKT), matrix metalloproteinase-9 (MMP-9), and tissue inhibitor of metalloproteinases-1 (TIMP-1).
Conclusion These findings suggested that irisin may play a protective role in the pathogenesis of liver fibrosis, especially when working in the crosstalk between HSCs and macrophages.
Citations
Citations to this article as recorded by
The potential of flavonoids in hepatic fibrosis: A comprehensive review Zhu Wenbo, Han Jianwei, Liu Hua, Tang Lei, Chen Guijuan, Tian Mengfei Phytomedicine.2024; 133: 155932. CrossRef
Potential role of irisin in digestive system diseases Yueming Zhang, Linxian Zhao, Huan Gao, Jinghui Zhai, Yanqing Song Biomedicine & Pharmacotherapy.2023; 166: 115347. CrossRef
The effect of sarcopenia and serum myokines on prognosis and survival in cirrhotic patients: a multicenter cross-sectional study Salih Boga, Abdullah Emre Yildirim, Enver Ucbilek, Ali Riza Koksal, Sevil Tokdemir Sisman, Ibrahim Durak, Ilker Sen, Beril Dogu, Erdinc Serin, Ayse Bolat Ucbilek, Makbule Ozge Yildirim, Sukru Mehmet Erturk, Huseyin Alkim, Canan Alkim European Journal of Gastroenterology & Hepatology.2022;[Epub] CrossRef
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 conditions remain incompletely understood. We aimed to identify the mechanisms through which high intrinsic CRF protects against metabolic, cardiac, and brain impairments in non-obese versus obese untrained rats.
Methods Seven-week-old male Wistar rats were divided into two groups (n=8 per group) to receive either a normal diet or a highfat diet (HFD). At weeks 12 and 28, CRF, carbohydrate and fatty acid oxidation, cardiac function, and metabolic parameters were evaluated. At week 28, behavior tests were performed. At the end of week 28, rats were euthanized to collect heart and brain samples for molecular studies.
Results The obese rats exhibited higher values for aging-related parameters than the non-obese rats, indicating that they experienced obesity-induced premature aging. High baseline CRF levels were positively correlated with several favorable metabolic, cardiac, and brain parameters at follow-up. Specifically, the protective effects of high CRF against metabolic, cardiac, and brain impairments were mediated by the modulation of body weight and composition, the lipid profile, substrate oxidation, mitochondrial function, insulin signaling, autophagy, apoptosis, inflammation, oxidative stress, cardiac function, neurogenesis, blood-brain barrier, synaptic function, accumulation of Alzheimer’s disease-related proteins, and cognition. Interestingly, this effect was more obvious in HFD-fed rats.
Conclusion The protective effect of high CRF is mediated by the modulation of several mechanisms. These effects exhibit greater efficacy under conditions of obesity-induced premature aging.
Citations
Citations to this article as recorded by
Interplay between obesity and aging on myocardial geometry and function: Role of leptin-STAT3-stress signaling Wei Jin, Fei Tu, Feng Dong, Qinqin Deng, Miyesaier Abudureyimu, Wei Yu, Guo-jun Cai, Jian-ming Pei, Zhaohui Pei, Jun Ren Biochimica et Biophysica Acta (BBA) - General Subjects.2023; 1867(2): 130281. CrossRef
Epidemiological, mechanistic, and practical bases for assessment of cardiorespiratory fitness and muscle status in adults in healthcare settings Jaime A. Gallo-Villegas, Juan C. Calderón European Journal of Applied Physiology.2023; 123(5): 945. CrossRef
Associations that Cardiorespiratory Fitness and Body Mass Index Loss Have with Deficit Accumulation Frailty KayLoni Olson, Denise K. Houston, Johnathan Ross, Rena R. Wing, Felicia R. Simpson, Ambarish Pandey, Michael P. Walkup, Mia Yang, Mark A. Espeland Medicine & Science in Sports & Exercise.2023;[Epub] CrossRef
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 influence its development and associated complications.
Methods In this retrospective study, we recruited patients who were diagnosed with type 2 diabetes mellitus between June 2001 and December 2021 at a tertiary hospital. The study population was categorized according to age: YOD (age <40 years), middle-age-onset diabetes (MOD, 40≤ age <65 years), and late-onset diabetes (LOD, age ≥65 years). We examined trends in glycemic control by analyzing fasting glucose levels during the first year in each age group. A Cox proportional-hazards model was used to determine the relative risk of developing complications according to glycemic control trends.
Results The fasting glucose level at the time of diagnosis was highest in the YOD group (YOD 149±65 mg/dL; MOD 143±54 mg/dL; and LOD 140±55 mg/dL; p=0.009). In the YOD group, glucose levels decreased at 3 months, but increased by 12 months. YOD patients and those with poor glycemic control in the first year were at a higher risk of developing complications, whereas the risk in patients with LOD was not statistically significant.
Conclusion YOD patients had higher glucose levels at diagnosis, and their glycemic control was poorly maintained. As poor glycemic control can influence the development of complications, especially in young patients, intensive treatment is necessary for patients with YOD.
Citations
Citations to this article as recorded by
Increased risk of incident mental disorders in adults with new-onset type 1 diabetes diagnosed after the age of 19: A nationwide cohort study Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim Diabetes & Metabolism.2024; 50(1): 101505. CrossRef
Association between age at diagnosis of type 2 diabetes and cardiovascular morbidity and mortality risks: A nationwide population-based study Da Hea Seo, Mina Kim, Young Ju Suh, Yongin Cho, Seong Hee Ahn, Seongbin Hong, So Hun Kim Diabetes Research and Clinical Practice.2024; 208: 111098. CrossRef
Impact of diabetes distress on glycemic control and diabetic complications in type 2 diabetes mellitus Hye-Sun Park, Yongin Cho, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Kwan Woo Lee, So Hun Kim Scientific Reports.2024;[Epub] CrossRef
Early onset type 2 diabetes mellitus: an update Myrsini Strati, Melpomeni Moustaki, Theodora Psaltopoulou, Andromachi Vryonidou, Stavroula A. Paschou Endocrine.2024; 85(3): 965. CrossRef
Complications and Treatment of Early-Onset Type 2 Diabetes Fahimeh Soheilipour, Naghmeh Abbasi Kasbi, Mahshid Imankhan, Delaram Eskandari International Journal of Endocrinology and Metabolism.2023;[Epub] CrossRef
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes (Endocrinol Metab 2022;37:641-51, Han-sang Baek et al.) Han-sang Baek, Ji-Yeon Park, Jin Yu, Joonyub Lee, Yeoree Yang, Jeonghoon Ha, Seung Hwan Lee, Jae Hyoung Cho, Dong-Jun Lim, Hun-Sung Kim Endocrinology and Metabolism.2022; 37(6): 945. CrossRef
ISPAD
Clinical Practice Consensus Guidelines 2022: Management of the child, adolescent, and young adult with diabetes in limited resource settings
Anju Virmani, Stuart J. Brink, Angela Middlehurst, Fauzia Mohsin, Franco Giraudo, Archana Sarda, Sana Ajmal, Julia E. von Oettingen, Kuben Pillay, Supawadee Likitmaskul, Luis Eduardo Calliari, Maria E. Craig Pediatric Diabetes.2022; 23(8): 1529. CrossRef
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes (Endocrinol Metab 2022;37:641-51, Han-sang Baek et al.) May Thu Hla Aye, Sajid Adhi Raja, Vui Heng Chong Endocrinology and Metabolism.2022; 37(6): 943. CrossRef
Heera Yang, Hyunju Park, Hyun Jin Ryu, Jung Heo, Jung-Sun Kim, Young Lyun Oh, Jun-Ho Choe, Jung Han Kim, Jee Soo Kim, Hye Won Jang, Tae Hyuk Kim, Sun Wook Kim, Jae Hoon Chung
Endocrinol Metab. 2022;37(4):652-663. Published online July 22, 2022
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 limited number of patients.
Methods We prospectively collected data on all consecutive patients who underwent thyroid carcinoma surgery between January 2019 and December 2020 at the Samsung Medical Center, Seoul, Korea. We included 2,092 patients with thyroid carcinoma.
Results Of 2,092 patients, 72 patients (3.4%) had TERT promoter mutations. However, the frequency of TERT promoter mutations was 0.5% in papillary thyroid microcarcinoma (PTMC) ≤1 cm and it was 5.8% in papillary thyroid carcinoma (PTC) >1 cm. The frequency of TERT promoter mutations was significantly associated with older age at diagnosis (odds ratio [OR], 1.12; P<0.001), larger primary tumor size (OR, 2.02; P<0.001), and aggressive histological type (OR, 7.78 in follicular thyroid carcinoma; OR, 10.33 in poorly differentiated thyroid carcinoma; OR, 45.92 in anaplastic thyroid carcinoma; P<0.001). Advanced T stage, advanced N stage, and distant metastasis at diagnosis were highly prevalent in mutated thyroid cancers. However, initial distant metastasis was not present in patients with TERT promoter mutations in PTMC. Although the C228T mutation was more highly detected than the C250T mutation (64 cases vs. 7 cases), there were no significant clinicopathological differences.
Conclusion This study is the first attempt to investigate the frequency of TERT promoter mutations in a real-world setting. The frequency of TERT promoter mutations in PTC was lower than expected, and in PTMC, young patients, and female patients, the frequency was very low.
Citations
Citations to this article as recorded by
TERT Promoter Mutations Frequency Across Race, Sex, and Cancer Type Talal El Zarif, Marc Machaalani, Rashad Nawfal, Amin H Nassar, Wanling Xie, Toni K Choueiri, Mark Pomerantz The Oncologist.2024; 29(1): 8. CrossRef
Gene mutations as predictors of central lymph mode metastasis in cN0 PTC: A meta‐analysis Jiaqi Ji, Xinlong Shi Clinical Genetics.2024; 105(2): 130. CrossRef
Risk stratification by combining common genetic mutations and TERT promoter methylation in papillary thyroid cancer Ye Sang, Guanghui Hu, Junyu Xue, Mengke Chen, Shubin Hong, Rengyun Liu Endocrine.2024; 85(1): 304. CrossRef
Shortened telomere length in peripheral blood leukocytes is associated with cumulative radioactive iodine doses in patients with differentiated thyroid carcinoma Hoonsung Choi, Sun Wook Cho, Hwan Hee Kim, Ka Hee Yi, Do Joon Park, Young Joo Park Cancer.2024; 130(12): 2215. CrossRef
2023 Update of the Korean Thyroid Association Guidelines for the Management of Thyroid Nodules Eun Kyung Lee, Young Joo Park Clinical Thyroidology®.2024; 36(4): 153. CrossRef
Korean Thyroid Association Guidelines on the Management of Differentiated Thyroid Cancers; Part I. Initial Management of Differentiated Thyroid Cancers - Chapter 5. Evaluation of Recurrence Risk Postoperatively and Initial Risk Stratification in Different Eun Kyung Lee, Young Shin Song, Ho-Cheol Kang, Sun Wook Kim, Dong Gyu Na, Shin Je Moon, Dong-Jun Lim, Kyong Yeun Jung, Yun Jae Chung, Chan Kwon Jung, Young Joo Park International Journal of Thyroidology.2024; 17(1): 68. CrossRef
Korean Thyroid Association Management Guidelines for Patients with Thyroid Nodules 2024 Young Joo Park, Eun Kyung Lee, Young Shin Song, Su Hwan Kang, Bon Seok Koo, Sun Wook Kim, Dong Gyu Na, Seung-Kuk Baek, So Won Oh, Min Kyoung Lee, Sang-Woo Lee, Young Ah Lee, Yong Sang Lee, Ji Ye Lee, Dong-Jun Lim, Leehi Joo, Yuh-Seog Jung, Chan Kwon Jung, International Journal of Thyroidology.2024; 17(1): 208. CrossRef
Predictive biomarkers in thyroid cancer in the current molecular-morphology paradigm Humberto Carvalho Carneiro, Rodrigo de Andrade Natal, Evelin Cavalcante Farias, Aline Almeida Bastos, Leila Guastapaglia, Alanna Mara Pinheiro Sobreira Bezerra, Ana Amélia Fialho de Oliveira Hoff Surgical and Experimental Pathology.2024;[Epub] CrossRef
Catching the Silent Culprits: TERT Promoter Mutation Screening of Minimally Invasive Follicular and Oncocytic Thyroid Carcinoma in Clinical Practice L. Samuel Hellgren, Adam Stenman, Kenbugul Jatta, Vincenzo Condello, Catharina Larsson, Jan Zedenius, C. Christofer Juhlin Endocrine Pathology.2024;[Epub] CrossRef
Prognostication with Thyroid GuidePx in the context of tall cell variants Steven Craig, Cynthia Stretch, Caitlin Yeo, Jeremy Fan, Haley Pedersen, Young Joo Park, Adrian Harvey, Oliver F. Bathe Surgery.2024;[Epub] CrossRef
Deciphering the Functions of Telomerase Reverse Transcriptase in Head and Neck Cancer Tsung-Jang Yeh, Chi-Wen Luo, Jeng-Shiun Du, Chien-Tzu Huang, Min-Hung Wang, Tzer-Ming Chuang, Yuh-Ching Gau, Shih-Feng Cho, Yi-Chang Liu, Hui-Hua Hsiao, Li-Tzong Chen, Mei-Ren Pan, Hui-Ching Wang, Sin-Hua Moi Biomedicines.2023; 11(3): 691. CrossRef
2023 Korean Thyroid Association Management Guidelines for Patients with Thyroid Nodules Young Joo Park, Eun Kyung Lee, Young Shin Song, Soo Hwan Kang, Bon Seok Koo, Sun Wook Kim, Dong Gyu Na, Seung-Kuk Baek, So Won Oh, Min Kyoung Lee, Sang-Woo Lee, Young Ah Lee, Yong Sang Lee, Ji Ye Lee, Dong-Jun Lim, Leehi Joo, Yuh-Seog Jung, Chan Kwon Jung International Journal of Thyroidology.2023; 16(1): 1. CrossRef
Thyroid Cancer, Iodine, and Gene Mutation Jae Hoon Chung International Journal of Thyroidology.2023; 16(1): 89. CrossRef
Mortality rate and causes of death in papillary thyroid microcarcinoma Jung Heo, Hyun Jin Ryu, Hyunju Park, Tae Hyuk Kim, Sun Wook Kim, Young Lyun Oh, Jae Hoon Chung Endocrine.2023; 83(3): 671. CrossRef
TERT promoter mutations in thyroid cancer Michiko Matsuse, Norisato Mitsutake Endocrine Journal.2023; 70(11): 1035. CrossRef
TERT Promoter and BRAF V600E Mutations in Papillary Thyroid Cancer: A Single-Institution Experience in Korea Min Jhi Kim, Jin Kyong Kim, Gi Jeong Kim, Sang-Wook Kang, Jandee Lee, Jong Ju Jeong, Woong Youn Chung, Daham Kim, Kee-Hyun Nam Cancers.2022; 14(19): 4928. CrossRef
Frequency of TERT Promoter Mutations in Real-World Analysis of 2,092 Thyroid Carcinoma Patients (Endocrinol Metab 2022;37:652-63, Heera Yang et al.) Hyunju Park, Jae Hoon Chung Endocrinology and Metabolism.2022; 37(6): 949. CrossRef
Frequency of TERT Promoter Mutations in Real-World Analysis of 2,092 Thyroid Carcinoma Patients (Endocrinol Metab 2022;37:652-63, Heera Yang et al.) Sue Youn Kim, Chan Kwon Jung Endocrinology and Metabolism.2022; 37(6): 947. CrossRef
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 thyroid cancer and healthy subjects using representative data from Korea. Differences in QoL of thyroid cancer survivors according to the duration after cancer diagnosis was also evaluated.
Methods This population-based cohort study included 50,278 subjects who participated in the Korea National Health and Nutrition Examination Survey between 2007 and 2017. QoL was compared between patients with thyroid cancer and healthy subjects using self-reported data from the EuroQoL (EQ)-5 dimension (5D) and EQ-visual analog scale (VAS). Propensity score matching was used to match thyroid cancer survivors to healthy subjects (1:5 matching).
Results Linear regression with univariate analysis showed that the presence of thyroid cancer was positively correlated with better EQ-5D index scores (β-coefficient=0.010, p=0.046). After adjusting for multiple covariables, statistical significance was maintained. EQ-VAS fails to demonstrate any significant correlation. Among the EQ-5D categories, patients with thyroid cancer showed better self-care than healthy subjects. Thyroid cancer duration did not correlate with the EQ-5D index score. In subgroup analyses, compared to patients with thyroid cancer duration of <5 years, no significant difference was observed in the correlation between the EQ-5D index score and survival duration in those with thyroid cancer duration of 5 to 9 years and ≥10 years.
Conclusion Using a large-scale nationwide population-based database, our study demonstrated better QoL, especially in terms of self-care, among thyroid cancer survivors than among healthy subjects without cancer.
Citations
Citations to this article as recorded by
Longitudinal Changes in Quality of Life Before and After Thyroidectomy in Patients With Differentiated Thyroid Cancer Byung Hun Kim, Soo Rack Ryu, Jin Won Lee, Chang Myeon Song, Yong Bae Ji, Seok Hyun Cho, Seung Hwan Lee, Kyung Tae The Journal of Clinical Endocrinology & Metabolism.2024; 109(6): 1505. CrossRef
Quality of Life in Differentiated Thyroid Cancer Patients after Total Thyroidectomy and Radioiodine Jie Liu Clinical Thyroidology®.2024; 36(5): 180. CrossRef
Quality-of-Life Changes after Thyroidectomy for Differentiated Thyroid Cancer Simone de Leo Clinical Thyroidology®.2024; 36(8): 294. CrossRef
Quality of Life Considerations in Patients Treated for Differentiated Thyroid Cancer Jie Liu Clinical Thyroidology.2023; 35(4): 160. CrossRef
The psychosocial impact of thyroid cancer Parker Haymart, Nina Jackson Levin, Megan R. Haymart Current Opinion in Endocrinology, Diabetes & Obesity.2023;[Epub] CrossRef
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 participants aged 50 to 75 years with at least two lumbosacral radiographs without baseline fractures from 2010 to 2015 at Seoul National University Hospital. Positive and negative cases were defined according to whether vertebral fractures developed during follow-up. The cases were divided into training (n=1,416) and test (n=179) sets. A convolutional neural network (CNN)-based prediction algorithm, DeepSurv, was trained with images and baseline clinical information (age, sex, body mass index, glucocorticoid use, and secondary osteoporosis). The concordance index (C-index) was used to compare performance between DeepSurv and the Fracture Risk Assessment Tool (FRAX) and Cox proportional hazard (CoxPH) models.
Results Of the total participants, 1,188 (74.4%) were women, and the mean age was 60.5 years. During a mean follow-up period of 40.7 months, vertebral fractures occurred in 7.5% (120/1,595) of participants. In the test set, when DeepSurv learned with images and clinical features, it showed higher performance than FRAX and CoxPH in terms of C-index values (DeepSurv, 0.612; 95% confidence interval [CI], 0.571 to 0.653; FRAX, 0.547; CoxPH, 0.594; 95% CI, 0.552 to 0.555). Notably, the DeepSurv method without clinical features had a higher C-index (0.614; 95% CI, 0.572 to 0.656) than that of FRAX in women.
Conclusion DeepSurv, a CNN-based prediction algorithm using baseline image and clinical information, outperformed the FRAX and CoxPH models in predicting osteoporotic fracture from spine radiographs in a longitudinal cohort.
Citations
Citations to this article as recorded by
Automated detection of vertebral fractures from X-ray images: A novel machine learning model and survey of the field Li-Wei Cheng, Hsin-Hung Chou, Yu-Xuan Cai, Kuo-Yuan Huang, Chin-Chiang Hsieh, Po-Lun Chu, I-Szu Cheng, Sun-Yuan Hsieh Neurocomputing.2024; 566: 126946. CrossRef
Application of radiomics model based on lumbar computed tomography in diagnosis of elderly osteoporosis Baisen Chen, Jiaming Cui, Chaochen Li, Pengjun Xu, Guanhua Xu, Jiawei Jiang, Pengfei Xue, Yuyu Sun, Zhiming Cui Journal of Orthopaedic Research.2024; 42(6): 1356. CrossRef
Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis Satoshi Maki, Takeo Furuya, Masahiro Inoue, Yasuhiro Shiga, Kazuhide Inage, Yawara Eguchi, Sumihisa Orita, Seiji Ohtori Journal of Clinical Medicine.2024; 13(3): 705. CrossRef
A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture Yisak Kim, Young-Gon Kim, Jung-Wee Park, Byung Woo Kim, Youmin Shin, Sung Hye Kong, Jung Hee Kim, Young-Kyun Lee, Sang Wan Kim, Chan Soo Shin Radiology.2024;[Epub] CrossRef
A Computed Tomography–Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study Sung Hye Kong, Wonwoo Cho, Sung Bae Park, Jaegul Choo, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin Journal of Medical Internet Research.2024; 26: e48535. CrossRef
A Novel QCT-Based Deep Transfer Learning Approach for Predicting Stiffness Tensor of Trabecular Bone Cubes Pengwei Xiao, Tinghe Zhang, Yufei Huang, Xiaodu Wang IRBM.2024; 45(2): 100831. CrossRef
Deep learning in the radiologic diagnosis of osteoporosis: a literature review Yu He, Jiaxi Lin, Shiqi Zhu, Jinzhou Zhu, Zhonghua Xu Journal of International Medical Research.2024;[Epub] CrossRef
Pathological Priors Inspired Network for Vertebral Osteophytes Recognition Junzhang Huang, Xiongfeng Zhu, Ziyang Chen, Guoye Lin, Meiyan Huang, Qianjin Feng IEEE Transactions on Medical Imaging.2024; 43(7): 2522. CrossRef
Fully Automatic Deep Learning Model for Spine Refracture in Patients with OVCF: A Multi‐Center Study Xuetao Zhu, Dejian Liu, Lian Liu, Jingxuan Guo, Zedi Li, Yixiang Zhao, Tianhao Wu, Kaiwen Liu, Xinyu Liu, Xin Pan, Lei Qi, Yuanqiang Zhang, Lei Cheng, Bin Chen Orthopaedic Surgery.2024; 16(8): 2052. CrossRef
Artificial Intelligence in Spinal Imaging and Patient Care: A Review of Recent Advances Sungwon Lee, Joon-Yong Jung, Akaworn Mahatthanatrakul, Jin-Sung Kim Neurospine.2024; 21(2): 474. CrossRef
Machine learning value in the diagnosis of vertebral fractures: A systematic review and meta-analysis Yue Li, Zhuang Liang, Yingchun Li, Yang Cao, Hui Zhang, Bo Dong European Journal of Radiology.2024; 181: 111714. CrossRef
Development and reporting of artificial intelligence in osteoporosis management Guillaume Gatineau, Enisa Shevroja, Colin Vendrami, Elena Gonzalez-Rodriguez, William D Leslie, Olivier Lamy, Didier Hans Journal of Bone and Mineral Research.2024; 39(11): 1553. CrossRef
Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer Min Wook Joo, Taehoon Ko, Min Seob Kim, Yong-Suk Lee, Seung Han Shin, Yang-Guk Chung, Hong Kwon Lee Clinical Orthopaedics & Related Research.2023; 481(11): 2247. CrossRef
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CT Sophia S. Goller, Jon F. Rischewski, Thomas Liebig, Jens Ricke, Sebastian Siller, Vanessa F. Schmidt, Robert Stahl, Julian Kulozik, Thomas Baum, Jan S. Kirschke, Sarah C. Foreman, Alexandra S. Gersing Diagnostics.2023; 13(12): 2119. CrossRef
Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features: A quantitative clinical study Kainat A. Ullah, Faisal Rehman, Muhammad Anwar, Muhammad Faheem, Naveed Riaz Health Science Reports.2023;[Epub] CrossRef
Skeletal Fracture Detection with Deep Learning: A Comprehensive Review Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin, Masri Ayob, Gauthamen Punganan Diagnostics.2023; 13(20): 3245. CrossRef
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Sang Won Jo, Eun Kyung Khil, Kyoung Yeon Lee, Il Choi, Yu Sung Yoon, Jang Gyu Cha, Jae Hyeok Lee, Hyunggi Kim, Sun Yeop Lee Scientific Reports.2023;[Epub] CrossRef
Vertebra Segmentation Based Vertebral Compression Fracture Determination from Reconstructed Spine X-Ray Images Srinivasa Rao Gadu, Chandra Sekhar Potala International Journal of Electrical and Electronics Research.2023; 11(4): 1225. CrossRef
Computer Vision in Osteoporotic Vertebral Fracture Risk Prediction: A Systematic Review Anthony K. Allam, Adrish Anand, Alex R. Flores, Alexander E. Ropper Neurospine.2023; 20(4): 1112. CrossRef
A Meaningful Journey to Predict Fractures with Deep Learning Jeonghoon Ha Endocrinology and Metabolism.2022; 37(4): 617. CrossRef
New Horizons: Artificial Intelligence Tools for Managing Osteoporosis Hans Peter Dimai The Journal of Clinical Endocrinology & Metabolism.2022;[Epub] CrossRef
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 myogenic programming. Thus, we investigated the effect of exogenous DLK1 on muscular atrophy.
Methods We used muscular atrophy mouse model induced by dexamethasone (Dex). The mice were randomly divided into three groups: (1) control group, (2) Dex-induced muscle atrophy group, and (3) Dex-induced muscle atrophy group treated with DLK1. The effects of DLK1 were also investigated in an in vitro model using C2C12 myotubes.
Results Dex-induced muscular atrophy in mice was associated with increased expression of muscle atrophy markers and decreased expression of muscle differentiation markers, while DLK1 treatment attenuated these degenerative changes together with reduced expression of the muscle growth inhibitor, myostatin. In addition, electron microscopy revealed that DLK1 treatment improved mitochondrial dynamics in the Dex-induced atrophy model. In the in vitro model of muscle atrophy, normalized expression of muscle differentiation markers by DLK1 treatment was mitigated by myostatin knockdown, implying that DLK1 attenuates muscle atrophy through the myostatin pathway.
Conclusion DLK1 treatment inhibited muscular atrophy by suppressing myostatin-driven signaling and improving mitochondrial biogenesis. Thus, DLK1 might be a promising candidate to treat sarcopenia, characterized by muscle atrophy and degeneration.
Unraveling the role of the mitochondrial one-carbon pathway in undifferentiated thyroid cancer by multi-omics analyses Seong Eun Lee, Seongyeol Park, Shinae Yi, Na Rae Choi, Mi Ae Lim, Jae Won Chang, Ho-Ryun Won, Je Ryong Kim, Hye Mi Ko, Eun-Jae Chung, Young Joo Park, Sun Wook Cho, Hyeong Won Yu, June Young Choi, Min-Kyung Yeo, Boram Yi, Kijong Yi, Joonoh Lim, Jun-Young K Nature Communications.2024;[Epub] CrossRef
Potential mechanisms of gut microbiota influence on different types of vertigo: a bidirectional Mendelian randomization and mediation analysis Qiongwen Rong, Hao Chen, Yibin Chen, Minghui Xu, Ruixue Chen, Changxuan Li BMC Neurology.2024;[Epub] CrossRef