Endocrinology and Metabolism

Original Articles

Thyroid
Thyroid Hormone Profile and Its Prognostic Impact on the Coronavirus Disease 2019 in Korean Patients: Jiyeon Ahn, Min Kyung Lee, Jae Hyuk Lee, Seo Young Sohn; Endocrinol Metab. 2021;36(4):769-777. Published online August 27, 2021; DOI: https://doi.org/10.3803/EnM.2021.1109

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Background
Data on the association between coronavirus disease 2019 (COVID-19) and thyroid have been reported, including overt thyrotoxicosis and suppression of thyroid function. We aimed to evaluate the thyroid hormone profile and its association with the prognosis of COVID-19 in Korean patients.
Methods
The clinical data of 119 patients with COVID-19, admitted in the Myongji Hospital, Goyang, South Korea, were retrospectively evaluated. The thyroid hormone profiles were analyzed and compared based on disease severity (non-severe disease vs. severe to critical disease). Clinical outcomes were analyzed according to the tertiles of thyroid hormones.
Results
Of the 119 patients, 76 (63.9%) were euthyroid, and none presented with overt thyroid dysfunction. Non-thyroidal illness syndrome was the most common manifestation (18.5%), followed by subclinical thyrotoxicosis (14.3%) among patients with thyroid dysfunction. Thyroid stimulating hormone (TSH) and triiodothyronine (T3) levels were significantly lower in patients with severe to critical disease than in those with non-severe disease (P<0.05). Patients in the lowest T3 tertile (<0.77 ng/mL) had higher rates of mechanical ventilation, intensive care unit admission, and death than those in the middle and highest (>1.00 ng/mL) T3 tertiles (P<0.05). COVID-19 patients in the lowest T3 tertile were independently associated with mortality (hazard ratio, 5.27; 95% confidence interval, 1.09 to 25.32; P=0.038) compared with those in the highest T3 tertile.
Conclusion
Thyroid dysfunction is common in COVID-19 patients. Changes in serum TSH and T3 levels may be important markers of disease severity in COVID-19. Decreased T3 levels may have a prognostic significance in COVID-19 related outcome.

Citations

Citations to this article as recorded by

The prevalence of thyroid disorders in COVID-19 patients: a systematic review and meta-analysis
Sadra Ashrafi, Hossein Hatami, Razieh Bidhendi-Yarandi, Mohammad Hossein Panahi
BMC Endocrine Disorders.2024;[Epub] CrossRef
Thyroid Stimulating Hormone as a Possible Additional COVID-19 Outcome Marker
Anamarija Zrilic Vrkljan, Ana Majic Tengg, Tanja Palaversa, Srecko Marusic, Lana Ruzic, Ines Bilic-Curcic, Maja Cigrovski Berkovic
Medicina.2024; 60(2): 314. CrossRef
Effect of Hypothalamic Adrenal Axis and Thyroid Function Alterations on Prognosis of Critically Ill COVID-19 Patients
Muhammet KORKUSUZ, Sulbiye KARABURGU, Tayfun ET, Rafet YARIMOĞLU, Nuh KUMRU
Namık Kemal Tıp Dergisi.2024; 12(1): 17. CrossRef
Thyroxine changes in COVID-19 pandemic: A systematic review and meta-analysis
Ziqi Li, Pengwei Hou, Shuwen Mu, Renzhi Wang, Hui Miao, Ming Feng, He Wang, Wentai Zhang, Yihao Chen, Tianshun Feng, Shousen Wang, Yi Fang
Frontiers in Endocrinology.2023;[Epub] CrossRef
The Influence of SARS-CoV-2 Infection on the Thyroid Gland
Aleksandra Piekarska, Marta Góral, Marta Kozula, Aleksandra Jawiarczyk-Przybyłowska, Katarzyna Zawadzka, Marek Bolanowski
Biomedicines.2023; 11(2): 614. CrossRef
Thyroid Function Abnormalities and Outcomes in Hospitalized Patients with COVID-19 Infection: A Cross-Sectional Study
Deepika Patel, Dukhabandhu Naik, Sadishkumar Kamalanathan, Kadhiravan Tamilarasu, Jayaprakash Sahoo, Ayan Roy, Chandhana Merugu, Varun Suryadevara
Hormone and Metabolic Research.2023; 55(03): 169. CrossRef
The Spectrum of Thyroid Function Tests and Autoantibodies During Hospitalization and After Six Months of Discharge in COVID-19 Patients: Does COVID-19 Trigger Autoimmunity?
Ziynet Alphan Uc, Pinar Yagcı, Zelal Adibelli, Cevdet Duran
Endocrine Research.2023; 48(2-3): 44. CrossRef
Transient low T3 syndrome in patients with COVID-19: a new window for prediction of disease severity
Mingyao Zhong, Yue Gao, Hongling Hu, Xuan Zhu, Lulu Gan, Ling Li, Cheng Xiang, Yimin Yan, Zhe Dai
Frontiers in Endocrinology.2023;[Epub] CrossRef
The Association Between COVID-19 and Thyroxine Levels: A Meta-Analysis
Yiru Chen, Xiuneng Li, Yu Dai, Jingjing Zhang
Frontiers in Endocrinology.2022;[Epub] CrossRef
The New Entity of Subacute Thyroiditis amid the COVID-19 Pandemic: From Infection to Vaccine
Mihaela Popescu, Adina Ghemigian, Corina Maria Vasile, Andrei Costache, Mara Carsote, Alice Elena Ghenea
Diagnostics.2022; 12(4): 960. CrossRef
Potential of Endogenous Oxytocin in Endocrine Treatment and Prevention of COVID-19
Stephani C. Wang, Fengmin Zhang, Hui Zhu, Haipeng Yang, Yang Liu, Ping Wang, Vladimir Parpura, Yu-Feng Wang
Frontiers in Endocrinology.2022;[Epub] CrossRef
The Association Between FT3 With the Outcome and Inflammation/Coagulopathy/Fibrinolysis of COVID-19
Jiayi Deng, Siye Zhang, Fei Peng, Quan Zhang, Yi Li, Yanjun Zhong
Frontiers in Endocrinology.2022;[Epub] CrossRef
Primary hypothyroidism with an episode of ventricular tachycardia in a patient with COVID-19
Pin-Hsu Liao, Yu-Cheng Cheng, Po-Yu Liu, I-Te Lee
Medicine.2022; 101(25): e29243. CrossRef
Low triiodothyronine syndrome is associated with stroke‐associated pneumonia
Huijun Chen, Minjie Xu, Yezhi Huang, Jincai He, Wenwei Ren
European Journal of Clinical Investigation.2022;[Epub] CrossRef
Association of thyroid dysfunction and COVID-19: A systematic review and meta-analysis
Mohammad Darvishi, Mohammad Reza Nazer, Hamze Shahali, Majid Nouri
Frontiers in Endocrinology.2022;[Epub] CrossRef
The prognostic utility of serum thyrotropin in hospitalized Covid-19 patients: statistical and machine learning approaches
E. Pappa, P. Gourna, G. Galatas, M. Manti, A. Romiou, L. Panagiotou, R. Chatzikyriakou, N. Trakas, G. Feretzakis, C. Christopoulos
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Thyrotropin Levels in Patients with Coronavirus Disease 2019: Assessment during Hospitalization and in the Medium Term after Discharge
Abdallah Al-Salameh, Noémie Scherman, Imane Adda, Juliette André, Yoann Zerbib, Julien Maizel, Jean-Daniel Lalau, Etienne Brochot, Claire Andrejak, Rachel Desailloud
Life.2022; 12(12): 2014. CrossRef
COVID-19 and thyroid function: What do we know so far?
Camila Lüdke Rossetti, Juliana Cazarin, Fabio Hecht, Fabyan Esberard de Lima Beltrão, Andrea Cláudia Freitas Ferreira, Rodrigo Soares Fortunato, Helton Estrela Ramos, Denise Pires de Carvalho
Frontiers in Endocrinology.2022;[Epub] CrossRef

Clinical Study
The Association of Overt and Subclinical Hyperthyroidism with the Risk of Cardiovascular Events and Cardiovascular Mortality: Meta-Analysis and Systematic Review of Cohort Studies: Seo Young Sohn, Eunyoung Lee, Min Kyung Lee, Jae Hyuk Lee; Endocrinol Metab. 2020;35(4):786-800. Published online November 25, 2020; DOI: https://doi.org/10.3803/EnM.2020.728

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Background
Whether hyperthyroidism is an independent risk factor for cardiovascular events remains controversial. We aimed to evaluate the association of overt and subclinical hyperthyroidism with the risk of ischemic heart disease (IHD), stroke, heart failure, and cardiovascular mortality.
Methods
Studies regarding the association between hyperthyroidism and cardiovascular events were searched on PubMed and Embase databases. The cardiovascular disease (CVD) risk was classified as high and low, based on pre-existing diseases, including history of coronary, cerebral, or peripheral artery disease; heart failure; atrial fibrillation; diabetes mellitus; or chronic kidney disease.
Results
Thirty-seven cohort studies were included in this meta-analysis. The pooled hazard ratio for subjects with overt hyperthyroidism compared with the control group was 1.11 (95% confidence interval [CI], 1.03 to 1.19) for IHD, 1.35 (95% CI, 1.03 to 1.75) for stroke, and 1.20 (95% CI, 1.00 to 1.46) for cardiovascular mortality. For subjects with subclinical hyperthyroidism, the pooled hazard ratio was 1.24 (95% CI, 1.07 to 1.45) for IHD, when compared with the control group. Subgroup analysis by CVD risk showed that the risk of stroke in overt hyperthyroidism was increased in the low CVD risk group; however, these association was not observed in the high CVD risk group. Similarly, the risk of IHD in subjects with subclinical hyperthyroidism was significantly increased in the low CVD risk group.
Conclusion
Overt hyperthyroidism is associated with increased risk of IHD, stroke, and cardiovascular mortality, and subclinical hyperthyroidism is associated with increased risk of IHD. These associations were particularly observed in the low risk CVD group without underlying CVD.

Citations

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Trends in Prevalence of Thyroid Dysfunction and its Associations With Mortality Among US Participants, 1988-2012
Xiaowen Zhang, Yong Wang, Hongwei Wang, Xinlin Zhang
The Journal of Clinical Endocrinology & Metabolism.2024; 109(2): e657. CrossRef
Adequacy of thyroid hormone replacement for people with hypothyroidism in real‐world settings: A systematic review and meta‐analysis of observational studies
Agathoklis Efthymiadis, Matthew Henry, Dimitrios Spinos, Marianthi Bourlaki, Alexandros Tsikopoulos, Angeliki Bourazana, Anastasios Bastounis, Konstantinos Tsikopoulos
Clinical Endocrinology.2024; 100(5): 488. CrossRef
Thyroid Disorders and Peripheral Arterial Disease
Katica Bajuk Studen, Simona Gaberscek, Katja Zaletel, Ales Blinc, Miso Sabovic, Gerit-Holger Schernthaner, Panagiotis Anagnostis, Pier Luigi Antignani, Mojca Jensterle, Dimitri P Mikhailidis, Pavel Poredos
Current Vascular Pharmacology.2024; 22(1): 36. CrossRef
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The Journal of Clinical Endocrinology & Metabolism.2023; 109(1): 92. CrossRef
Eurasian clinical guidelines for the diagnosis and treatment of secondary (symptomatic) forms of arterial hypertension (2022)
I. E. Chazova, N. M. Chikhladze, N. V. Blinova, Zh. E. Belaya, N. M. Danilov, E. M. Elfimova, A. Yu. Litvin, L. Ya. Rozhinskaya, N. Yu. Sviridenko, M. Yu. Shvetsov, V. A. Azizov, E. A. Grigorenko, N. P. Mit’kovskaja, I. I. Mustafaev, A. G. Polupanov, A. S
Eurasian heart journal.2023; (1): 6. CrossRef
Sympathetic Activation Promotes Cardiomyocyte Apoptosis in a Rabbit Susceptibility Model of Hyperthyroidism-Induced Atrial Fibrillation via the p38 MAPK Signaling Pathway
Jialin Zheng, Shijian Zhao, Qishi Yang, Yantao Wei, Jianmei Li, Tao Guo
Critical Reviews in Eukaryotic Gene Expression.2023; 33(5): 17. CrossRef
Cardiovascular outcomes in subclinical thyroid disease: an update
Matthew D. Ettleson
Current Opinion in Endocrinology, Diabetes & Obesity.2023; 30(5): 218. CrossRef
Lower free triiodothyronine levels are associated with higher all-cause and cardiovascular mortality in people with diabetes-NHANES 2007–2012
Chang Liu, Zhong Xin, Lin Hua
Diabetes Research and Clinical Practice.2023; 202: 110811. CrossRef
Hyperthyroidism
Sun Y. Lee, Elizabeth N. Pearce
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Thyroid®.2023; 33(12): 1483. CrossRef
Risks of suboptimal and excessive thyroid hormone replacement across ages
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Association of Mild Thyroid Dysfunction and Adverse Prognosis Among Chinese Patients With Acute ST Segment Elevation Myocardial Infarction
Mei-Fang Li, Ze-Tao Wei, Shuai Li, Qi-Ming Feng, Jing-Bo Li
Frontiers in Endocrinology.2022;[Epub] CrossRef
The Cardiovascular Effects of Subclinical Hyperthyroidism following Percutaneous Coronary Intervention
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Weight Gain and Body Composition Changes during the Transition of Thyroid Function in Patients with Graves’ Disease Undergoing Radioiodine Treatment
Zhenqin Cai, Qiyu Chen, Yan Ling, Henrik Falhammar
International Journal of Endocrinology.2022; 2022: 1. CrossRef
Minor perturbations of thyroid homeostasis and major cardiovascular endpoints—Physiological mechanisms and clinical evidence
Patrick Müller, Melvin Khee-Shing Leow, Johannes W. Dietrich
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Role of thyroid hormones-induced oxidative stress on cardiovascular physiology
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Biochimica et Biophysica Acta (BBA) - General Subjects.2022; 1866(12): 130239. CrossRef
Yearly Incidence of Stroke and Bleeding in Atrial Fibrillation with Concomitant Hyperthyroidism: A National Discharge Database Study
Juqian Zhang, Arnaud Bisson, Grégoire Fauchier, Alexandre Bodin, Julien Herbert, Pierre Henri Ducluzeau, Gregory Y. H. Lip, Laurent Fauchier
Journal of Clinical Medicine.2022; 11(5): 1342. CrossRef
Platelet abnormalities in autoimmune thyroid diseases: A systematic review and meta-analysis
Yu-tian Cao, Kai-yu Zhang, Jing Sun, Yan Lou, Tian-su Lv, Xinyi Yang, Wen-hui Zhang, Jiang-yi Yu, Qi-biao Wu, Xi-qiao Zhou
Frontiers in Immunology.2022;[Epub] CrossRef
Subclinical Hyperthyroidism: A Review of the Clinical Literature
Karen Tsai, Angela M. Leung
Endocrine Practice.2021; 27(3): 254. CrossRef
Thyroid and heart, a clinically relevant relationship
G. Corona, L. Croce, C. Sparano, L. Petrone, A. Sforza, M. Maggi, L. Chiovato, M. Rotondi
Journal of Endocrinological Investigation.2021; 44(12): 2535. CrossRef
Antithyroid Drug Treatment in Graves’ Disease
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Cardiovascular Outcomes in Thyroid Cancer Patients Treated With Thyroidectomy: A Meta-Analysis
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Clinical Study
C-Peptide-Based Index Is More Related to Incident Type 2 Diabetes in Non-Diabetic Subjects than Insulin-Based Index: Jong-Dai Kim, Sung Ju Kang, Min Kyung Lee, Se Eun Park, Eun Jung Rhee, Cheol-Young Park, Ki-Won Oh, Sung-Woo Park, Won-Young Lee; Endocrinol Metab. 2016;31(2):320-327. Published online June 21, 2016; DOI: https://doi.org/10.3803/EnM.2016.31.2.320

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Background

Diabetes can be efficiently prevented by life style modification and medical therapy. So, identification for high risk subjects for incident type 2 diabetes is important. The aim of this study is to identify the best β-cell function index to identify high risk subjects in non-diabetic Koreans.

Methods

This is a retrospective longitudinal study. Total 140 non-diabetic subjects who underwent standard 2-hour 75 g oral glucose tolerance test from January 2007 to February 2007 at Kangbuk Samsung Hospital and followed up for more than 1 year were analyzed (mean follow-up, 54.9±16.4 months). The subjects were consist of subjects with normal glucose tolerance (n=44) and subjects with prediabetes (n=97) who were 20 years of age or older. Samples for insulin and C-peptide levels were obtained at 0 and 30 minutes at baseline.

Results

Thirty subjects out of 140 subjects (21.4%) developed type 2 diabetes. When insulin-based index and C-peptide-based index are compared between progressor and non-progressor to diabetes, all C-peptide-based indices were statistically different between two groups, but only insulinogenic index and disposition index among insulin-based index were statistically different. C-peptide-based index had higher value of area under receiver operating characteristic curve (AROC) value than that of insulin-based index. "C-peptidogenic" index had highest AROC value among indices (AROC, 0.850; 95% confidence interval, 0.761 to 0.915). C-peptidogenic index had significantly higher AROC than insulinogenic index (0.850 vs. 0.731 respectively; P=0.014).

Conclusion

C-peptide-based index was more closely related to incident type 2 diabetes in non-diabetic subjects than insulin-based index.

Citations

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Atypical Diabetes: What Have We Learned and What Does the Future Hold?
Stephen I. Stone, Ashok Balasubramanyam, Jennifer E. Posey
Diabetes Care.2024; 47(5): 770. CrossRef
Insulinogenic index and early phase insulin secretion predict increased risk of worsening glucose tolerance and of cystic fibrosis-related diabetes
Kathryn J. Potter, Valérie Boudreau, Anne Bonhoure, François Tremblay, Annick Lavoie, Maité Carricart, Peter A. Senior, Rémi Rabasa-Lhoret
Journal of Cystic Fibrosis.2023; 22(1): 50. CrossRef
First-phase insulin secretion: can its evaluation direct therapeutic approaches?
Gianfranco Di Giuseppe, Gea Ciccarelli, Laura Soldovieri, Umberto Capece, Chiara M.A. Cefalo, Simona Moffa, Enrico C. Nista, Michela Brunetti, Francesca Cinti, Antonio Gasbarrini, Alfredo Pontecorvi, Andrea Giaccari, Teresa Mezza
Trends in Endocrinology & Metabolism.2023; 34(4): 216. CrossRef
Insights on C-peptide in diabetes
Anuj Maheshwari
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Nutrients.2023; 15(18): 4042. CrossRef
Elevated Peripheral Brain-Derived Neurotrophic Factor Level Associated With Decreasing Insulin Secretion May Forecast Memory Dysfunction in Patients With Long-Term Type 2 Diabetes
Xi Huang, Zuolin Xie, Chenchen Wang, Shaohua Wang
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Predictors of Glycemic Outcomes at 1 Year Following Pediatric Total Pancreatectomy With Islet Autotransplantation
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Diabetes Care.2022; 45(2): 295. CrossRef
Data-driven subgroups of type 2 diabetes, metabolic response, and renal risk profile after bariatric surgery: a retrospective cohort study
Violeta Raverdy, Ricardo V Cohen, Robert Caiazzo, Helene Verkindt, Tarissa Beatrice Zanata Petry, Camille Marciniak, Benjamin Legendre, Pierre Bauvin, Estelle Chatelain, Alain Duhamel, Elodie Drumez, Naima Oukhouya-Daoud, Mikael Chetboun, Gregory Baud, Em
The Lancet Diabetes & Endocrinology.2022; 10(3): 167. CrossRef
The Relationship between the Lipid Accumulation Product and Beta-cell Function in Korean Adults with or without Type 2 Diabetes Mellitus: The 2015 Korea National Health and Nutrition Examination Survey
Hye Eun Cho, Seung Bum Yang, Mi Young Gi, Ju Ae Cha, so Young Park, Hyun Yoon
Endocrine Research.2022; 47(2): 80. CrossRef
Measures of Maternal Metabolic Health as Predictors of Severely Low Milk Production
Laurie A. Nommsen-Rivers, Erin A. Wagner, Dayna M. Roznowski, Sarah W. Riddle, Laura P. Ward, Amy Thompson
Breastfeeding Medicine.2022; 17(7): 566. CrossRef
Prediabetes: From diagnosis to prognosis
Teodora Beljić-Živković
Galenika Medical Journal.2022; 1(1): 57. CrossRef
C‐peptide determination in the diagnosis of type of diabetes and its management: A clinical perspective
Ernesto Maddaloni, Geremia B. Bolli, Brian M. Frier, Randie R. Little, Richard D. Leslie, Paolo Pozzilli, Raffaela Buzzetti
Diabetes, Obesity and Metabolism.2022; 24(10): 1912. CrossRef
Fasting Proinsulin Independently Predicts Incident Type 2 Diabetes in the General Population
Sara Sokooti, Wendy A. Dam, Tamas Szili-Torok, Jolein Gloerich, Alain J. van Gool, Adrian Post, Martin H. de Borst, Ron T. Gansevoort, Hiddo J. L. Heerspink, Robin P. F. Dullaart, Stephan J. L. Bakker
Journal of Personalized Medicine.2022; 12(7): 1131. CrossRef
C-peptide is a predictor of telomere shortening: A five-year longitudinal study
Racha Ghoussaini, Hani Tamim, Martine Elbejjani, Maha Makki, Lara Nasreddine, Hussain Ismaeel, Mona P. Nasrallah, Nathalie K. Zgheib
Frontiers in Endocrinology.2022;[Epub] CrossRef
Association between early-pregnancy serum C-peptide and risk of gestational diabetes mellitus: a nested case–control study among Chinese women
Xue Yang, Yi Ye, Yi Wang, Ping Wu, Qi Lu, Yan Liu, Jiaying Yuan, Xingyue Song, Shijiao Yan, Xiaorong Qi, Yi-Xin Wang, Ying Wen, Gang Liu, Chuanzhu Lv, Chun-Xia Yang, An Pan, Jianli Zhang, Xiong-Fei Pan
Nutrition & Metabolism.2022;[Epub] CrossRef
Human C-peptide is a ligand of the elastin-receptor-complex and therewith central to human vascular remodelling and disease in metabolic syndrome
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Medical Hypotheses.2022; 168: 110964. CrossRef
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Nutrients.2022; 14(24): 5212. CrossRef
Depression Augments Plasma APOA4 without Changes of Plasma Lipids and Glucose in Female Adolescents Carrying G Allele of APOA4 rs5104
Qi Wei Guo, Yan Jun Si, Yi Lin Shen, Xu Chen, Mei Yang, Ding Zhi Fang, Jia Lin
Journal of Molecular Neuroscience.2021; 71(10): 2060. CrossRef
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Diabetes Care.2021; 44(3): 707. CrossRef
Analytical and clinical comparison between two different chemiluminescent enzyme immunoassays for the measurement of C-peptide in serum
Gian P. CAVIGLIA, Chiara ROSSO, Angelo ARMANDI, Davide G. RIBALDONE, Rinaldo PELLICANO, Elisabetta BUGIANESI
Minerva Biotechnology and Biomolecular Research.2021;[Epub] CrossRef
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Clive J Petry, Keith A Burling, Peter Barker, Ieuan A Hughes, Ken K Ong, David B Dunger
The Journal of Clinical Endocrinology & Metabolism.2021; 106(6): e2413. CrossRef
May C-peptide index be a new marker to predict proteinuria in anemic patients with type 2 diabetes mellitus?
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Endocrine Regulations.2020; 54(1): 1. CrossRef
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European Journal of Preventive Cardiology.2020; 27(18): 1934. CrossRef
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David Karasek, Ondrej Krystynik, Dominika Goldmannova, Lubica Cibickova, Jan Schovanek
Journal of Applied Biomedicine.2020; 18(2-3): 54. CrossRef
Search for clinical predictors of good glycemic control in patients starting or intensifying oral hypoglycemic pharmacological therapy: A multicenter prospective cohort study
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Journal of Diabetes and its Complications.2020; 34(2): 107464. CrossRef
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Chenchen Wang, Xi Huang, Sai Tian, Rong Huang, Dan Guo, Hongyan Lin, Jiaqi Wang, Shaohua Wang
Journal of Alzheimer's Disease.2020; 75(3): 807. CrossRef
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Kieren J. Mather, Melinda Chen, Tamara S. Hannon
Journal of Diabetes and its Complications.2020; 34(7): 107589. CrossRef
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Physiological Reports.2020;[Epub] CrossRef
Gender diversity of insulin sensitivity markers among patients of type 2 diabetes mellitus in northern India: A cross-sectional analytical study
Ravi Kant, Poonam Yadav, Surekha Kishore
Journal of Family Medicine and Primary Care.2020; 9(7): 3315. CrossRef
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Sai Tian, Rong Huang, Dan Guo, Hongyan Lin, Jiaqi Wang, Ke An, Shaohua Wang
Current Alzheimer Research.2020; 17(4): 355. CrossRef
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Nutrients.2020; 12(9): 2790. CrossRef
Plasma C-Peptide and Risk of Developing Type 2 Diabetes in the General Population
Sara Sokooti, Lyanne M. Kieneker, Martin H. de Borst, Anneke Muller Kobold, Jenny E. Kootstra-Ros, Jolein Gloerich, Alain J. van Gool, Hiddo J. Lambers Heerspink, Ron T Gansevoort, Robin P.F. Dullaart, Stephan J. L. Bakker
Journal of Clinical Medicine.2020; 9(9): 3001. CrossRef
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Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3395. CrossRef
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Journal of Alzheimer's Disease.2019; 70(1): 303. CrossRef
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OGTT 1h serum C-peptide to plasma glucose concentration ratio is more related to beta cell function and diabetes mellitus
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Articles inEndocrinology and Metabolismin 2016
Won-Young Lee
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Obesity and Metabolism
Comparison of Serum Adipocytokine Levels according to Metabolic Health and Obesity Status: Tae Hoon Lee, Won Seon Jeon, Ki Joong Han, Shin Yeoung Lee, Nam Hee Kim, Hyun Beom Chae, Choel Min Jang, Kyung Mo Yoo, Hae Jung Park, Min Kyung Lee, Se Eun Park, Hyung Geun Oh, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2015;30(2):185-194. Published online June 30, 2015; DOI: https://doi.org/10.3803/EnM.2015.30.2.185

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Background

Metabolic health is an emerging concept that is highly correlated with various metabolic complications, and adipocytokines have been causally linked to a wide range of metabolic diseases. Thus, this study compared serum adipocytokine levels according to metabolic health and obesity status.

Methods

Four hundred and fifty-six nondiabetic subjects (mean age, 40.5 years) were categorized into four groups according to metabolic health and obesity status: metabolically healthy nonobese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy nonobese (MUHNO), and metabolically unhealthy obese (MUHO). Being metabolically healthy was defined as the presence of fewer than two of the following five metabolic abnormalities: high blood pressure, high fasting blood glucose, high triglyceride, low high density lipoprotein cholesterol, and being in the highest decile of the homeostatic model assessment of insulin resistance index. Obesity status was assessed using body mass index (BMI), with obesity defined as a BMI higher than 25 kg/m². Levels of serum interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor α (TNF-α), and adipocyte fatty acid binding protein (A-FABP) were also evaluated.

Results

Of the 456 subjects, 247 (54.2%) were in the MHNO group, 66 (14.5%) were in the MHO group, 66 (14.5%) were in the MUHNO group, and 77 (16.9%) were in the MUHO group. There were no significant differences in IL-6 or MCP-1 levels among the groups, but levels of TNF-α and A-FABP were significantly higher in the MUHNO group compared to the MHNO group.

Conclusion

High TNF-α and A-FABP levels are significantly associated with metabolically unhealthiness in nonobese Korean individuals.

Citations

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Poor Vitamin D Status in Active Pulmonary Tuberculosis Patients and Its Correlation with Leptin and TNF-α
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Christine Graf, Nina Ferrari
International Journal of Molecular Sciences.2019; 20(24): 6159. CrossRef
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Ligiane Marques Loureiro, Suzane Lessa, Rodrigo Mendes, Sílvia Pereira, Carlos José Saboya, Andrea Ramalho
Nutrients.2019; 11(9): 2125. CrossRef
Being Metabolically Healthy, the Most Responsible Factor for Vascular Health
Eun-Jung Rhee
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Ji Yeon Lee, Byoung Kuk Jang, Min Kyung Song, Hye Soon Kim, Mi-Kyung Kim
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Kofaktoren und Komorbiditäten bei Necrobiosis lipoidica – Analyse der deutschen DRG‐Daten von 2012
Finja Jockenhöfer, Knut Kröger, Joachim Klode, Regina Renner, Cornelia Erfurt‐Berge, Joachim Dissemond
JDDG: Journal der Deutschen Dermatologischen Gesellschaft.2016; 14(3): 277. CrossRef
The relationship between serum fatty-acid binding protein 4 level and lung function in Korean subjects with normal ventilatory function
Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Seong Yong Lim, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
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Cofactors and comorbidities of necrobiosis lipoidica: analysis of the German DRG data from 2012
Finja Jockenhöfer, Knut Kröger, Joachim Klode, Regina Renner, Cornelia Erfurt‐Berge, Joachim Dissemond
JDDG: Journal der Deutschen Dermatologischen Gesellschaft.2016; 14(3): 277. CrossRef
Response: Comparison of Serum Adipocytokine Levels according to Metabolic Health and Obesity Status (Endocrinol Metab2015;30:185-94, Tae Hoon Lee et al.)
Eun-Jung Rhee
Endocrinology and Metabolism.2015; 30(3): 416. CrossRef
Letter: Comparison of Serum Adipocytokine Levels according to Metabolic Health and Obesity Status (Endocrinol Metab2015;30:185-94, Tae Hoon Lee et al.)
Mikyung Kim
Endocrinology and Metabolism.2015; 30(3): 414. CrossRef
Adipokine Profiles and Metabolic Health
Seung-Hwan Lee
Endocrinology and Metabolism.2015; 30(2): 175. CrossRef

Obesity and Metabolism
Increased Risk of Diabetes Development in Subjects with the Hypertriglyceridemic Waist Phenotype: A 4-Year Longitudinal Study: Ki Joong Han, Shin Yeoung Lee, Nam Hee Kim, Hyun Beom Chae, Tae Hoon Lee, Choel Min Jang, Kyung Mo Yoo, Hae Jung Park, Min Kyung Lee, Won Seon Jeon, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2014;29(4):514-521. Published online December 29, 2014; DOI: https://doi.org/10.3803/EnM.2014.29.4.514

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Background

The hypertriglyceridemic waist (HTGW) phenotype is a simple and inexpensive screening parameter to identify people at increased risk of cardiovascular disease. We evaluated whether the HTGW phenotype predicts diabetes in urban Korean adults.

Methods

A total of 2,900 nondiabetic subjects (mean age 44.3 years), comprising 2,078 males (71.7%) and 822 females (28.3%) who underwent annual medical check-ups at our center between January 2005 and December 2009, were recruited. The subjects were divided into four groups according to baseline serum triglyceride (TG) level and waist circumference (WC): normal WC-normal TG (NWNT) level, normal WC-high TG level, enlarged WC-normal TG level, and enlarged WC-high TG (EWHT) level. High serum TG level was defined as ≥150 mg/dL and enlarged WC was defined as ≥90 cm for men and ≥85 cm for women. New cases of diabetes were determined according to questionnaires filled in by participants and the diagnostic criteria of the American Diabetes Association. Cox proportional hazards model analysis was used to assess the association of HTGW phenotype with the incidence of diabetes.

Results

A total of 101 (3.5%) new diabetes cases were diagnosed during the study period. The EWHT group had a higher incidence of diabetes (8.3%) compared with the NWNT group (2.2%). The adjusted hazard ratio for diabetes for subjects with the EWHT phenotype at baseline was 4.113 (95% confidence interval [CI], 2.397 to 7.059) after adjustment for age, and 2.429 (95% CI, 1.370 to 4.307) after adjustment for age, sex, total cholesterol, systolic blood pressure, and alcohol drinking history. It was attenuated by inclusion of baseline fasting glucose level in the model.

Conclusion

Subjects with the HTGW phenotype showed the highest risk of incident diabetes. This tool could be useful for identifying individuals at high risk of diabetes.

Citations

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Triglyceridemic Waist Phenotypes as Risk Factors for Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Fiorella E. Zuzunaga-Montoya, Víctor Juan Vera-Ponce
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Association between hypertriglyceridemic-waist phenotype and circadian syndrome risk: a longitudinal cohort study
Li-Kun Hu, Yu-Hong Liu, Kun Yang, Ning Chen, Lin-Lin Ma, Yu-Xiang Yan
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Caracterización del fenotipo de cintura hipertrigliceridémica en pacientes con diabetes mellitus tipo 2 en España: un estudio epidemiológico
I. Miñambres, J. Sánchez-Hernández, G. Cuixart, A. Sánchez-Pinto, J. Sarroca, A. Pérez
Revista Clínica Española.2021; 221(10): 576. CrossRef
Association of “hypertriglyceridemic waist” with increased 5-year risk of subclinical atherosclerosis in a multi-ethnic population: a prospective cohort study
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Characterization of the hypertriglyceridemic waist phenotype in patients with type 2 diabetes mellitus in Spain: an epidemiological study
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Revista Clínica Española (English Edition).2021; 221(10): 576. CrossRef
Association between Hypertriglyceridemic-Waist Phenotype and Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese Population: A Longitudinal Cohort Study
Dezhong Chen, Ziyun Liang, Huimin Sun, Ciyong Lu, Weiqing Chen, Harry H. X. Wang, Vivian Yawei Guo
International Journal of Environmental Research and Public Health.2021; 18(18): 9618. CrossRef
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Hypertriglyceridemic Waist Phenotype and Lipid Accumulation Product: Two Comprehensive Obese Indicators of Waist Circumference and Triglyceride to Predict Type 2 Diabetes Mellitus in Chinese Population
Minrui Xu, Mingtao Huang, Deren Qiang, Jianxin Gu, Yong Li, Yingzi Pan, Xingjuan Yao, Wenchao Xu, Yuan Tao, Yihong Zhou, Hongxia Ma, Ulrike Rothe
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Yong-Cheng Ren, Yu Liu, Xi-Zhuo Sun, Bing-Yuan Wang, Yi Liu, Hu Ni, Yang Zhao, Dechen Liu, Xuejiao Liu, Dongdong Zhang, Feiyan Liu, Cheng Cheng, Leilei Liu, Xu Chen, Qionggui Zhou, Ming Zhang, Dongsheng Hu
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Hypertriglyceridemic waist phenotype and abnormal glucose metabolism: a system review and meta-analysis
Chun-Ming Ma, Xiao-Li Liu, Na Lu, Rui Wang, Qiang Lu, Fu-Zai Yin
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Ľ. Cibičková, K. Langová, H. Vaverková, J. Lukeš, N. Cibiček
Physiological Research.2019; : 931. CrossRef
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Eun-Jung Rhee
Diabetes & Metabolism Journal.2018; 42(1): 19. CrossRef
Letter: Utility of the Visceral Adiposity Index and Hypertriglyceridemic Waist Phenotype for Predicting Incident Hypertension (Endocrinol Metab 2017;32:221-9, Mohsen Janghorbani et al.)
Eun-Jung Rhee
Endocrinology and Metabolism.2017; 32(3): 396. CrossRef
The Relationship between Hypertriglyceridemic Waist Phenotype and Early Diabetic Nephropathy in Type 2 Diabetes
Chun-Ming Ma, Rui Wang, Xiao-Li Liu, Na Lu, Qiang Lu, Fu-Zai Yin
Cardiorenal Medicine.2017; 7(4): 295. CrossRef
The Association of Hypertriglyceridemic Waist Phenotype with Chronic Kidney Disease and Its Sex Difference: A Cross-Sectional Study in an Urban Chinese Elderly Population
Jing Zeng, Miao Liu, Lei Wu, Jianhua Wang, Shanshan Yang, Yiyan Wang, Yao Yao, Bin Jiang, Yao He
International Journal of Environmental Research and Public Health.2016; 13(12): 1233. CrossRef
Prevalence of hypertriglyceridemic waist and association with risk of type 2 diabetes mellitus: a meta‐analysis
Yongcheng Ren, Xinping Luo, Chongjian Wang, Lei Yin, Chao Pang, Tianping Feng, Bingyuan Wang, Lu Zhang, Linlin Li, Xiangyu Yang, Hongyan Zhang, Jingzhi Zhao, Dongsheng Hu
Diabetes/Metabolism Research and Reviews.2016; 32(4): 405. CrossRef
Utility of hypertriglyceridemic waist phenotype for predicting incident type 2 diabetes: The Isfahan Diabetes Prevention Study
Mohsen Janghorbani, Masoud Amini
Journal of Diabetes Investigation.2016; 7(6): 860. CrossRef
βig-h3 Represses T-Cell Activation in Type 1 Diabetes
Maeva Patry, Romain Teinturier, Delphine Goehrig, Cornelia Zetu, Doriane Ripoche, In-San Kim, Philippe Bertolino, Ana Hennino
Diabetes.2015; 64(12): 4212. CrossRef
Hypertriglyceridemic Waist – a Simple Clinical Tool to Detect Cardiometabolic Risk: Comparison With Harmonized Definition of Metabolic Syndrome
H. VAVERKOVÁ, D. KARÁSEK, D. NOVOTNÝ, M. HALENKA, J. ORSÁG, L. SLAVÍK
Physiological Research.2015; : S385. CrossRef
Articles in 'Endocrinology and Metabolism' in 2014
Won-Young Lee
Endocrinology and Metabolism.2015; 30(1): 47. CrossRef
Changes in Metabolic Health Status Over Time and Risk of Developing Type 2 Diabetes
Seung-Hwan Lee, Hae Kyung Yang, Hee-Sung Ha, Jin-Hee Lee, Hyuk-Sang Kwon, Yong-Moon Park, Hyeon-Woo Yim, Moo-Il Kang, Won-Chul Lee, Ho-Young Son, Kun-Ho Yoon
Medicine.2015; 94(40): e1705. CrossRef

Age Is the Strongest Effector for the Relationship between Estimated Glomerular Filtration Rate and Coronary Artery Calcification in Apparently Healthy Korean Adults: Hyun Beom Chae, Shin Yeoung Lee, Nam Hee Kim, Ki Joong Han, Tae Hoon Lee, Choel Min Jang, Kyung Mo Yoo, Hae Jung Park, Min Kyung Lee, Won Seon Jeon, Se Eun Park, Heui-Soo Moon, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee; Endocrinol Metab. 2014;29(3):312-319. Published online September 25, 2014; DOI: https://doi.org/10.3803/EnM.2014.29.3.312

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Background

Chronic kidney disease (CKD) is considered one of the most common risk factors for cardiovascular disease. Coronary artery calcification (CAC) is a potential mechanism that explains the association between renal function and cardiovascular mortality. We aimed to evaluate the association between renal function and CAC in apparently healthy Korean subjects.

Methods

A total of 23,617 participants in a health-screening program at Kangbuk Samsung Hospital were included in the study. Estimated glomerular filtration rate (eGFR) was assessed using the Cockcroft-Gault equation. Coronary artery calcium score (CACS) was measured via multidetector computed tomography. Subjects were divided into three groups according to the CKD Staging system with eGFR grade: stage 1, eGFR ≥90 mL/min/1.73 m²; stage 2, eGFR 60 to 89 mL/min/1.73 m²; and stage 3, eGFR 30 to 59 mL/min/1.73 m².

Results

The mean age of the participants was 41.4 years and the mean eGFR was 103.6±21.7 mL/min/1.73 m². Hypertension and diabetes were noted in 43.7% and 5.5% of the participants, respectively. eGFR showed a weakly negative but significant association with CACS in bivariate correlation analysis (r=-0.076, P<0.01). Mean CACS significantly increased from CKD stage 1 to 3. The proportion of subjects who had CAC significantly increased from CKD stage 1 to 3. Although the odds ratio for CAC significantly increased from stage 1 to 3 after adjustment for confounding factors, this significance was reversed when age was included in the model.

Conclusion

In early CKD, renal function negatively correlated with the degree of CAC in Korean subjects. Age was the strongest effector for this association.

Citations

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Seo Yeon Baik, Hyunah Kim, So Jung Yang, Tong Min Kim, Seung-Hwan Lee, Jae Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, Kun-Ho Yoon, Hun-Sung Kim
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Cheng Suh‐Chiou, Rosa M. Moysés, Marcio S. Bittencourt, Isabela M. Bensenor, Paulo A. Lotufo
Clinical Cardiology.2017; 40(12): 1309. CrossRef
Eligibility for Statin Treatment in Korean Subjects with Reduced Renal Function: An Observational Study
Byung Sub Moon, Jongho Kim, Ji Hyun Kim, Young Youl Hyun, Se Eun Park, Hyung-Geun Oh, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Kyu-Beck Lee, Hyang Kim, Sung-Woo Park, Eun-Jung Rhee
Endocrinology and Metabolism.2016; 31(3): 402. CrossRef
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Won-Young Lee
Endocrinology and Metabolism.2015; 30(1): 47. CrossRef

Response

Obesity and Metabolism
Response: The Association between Serum Endogenous Secretory Receptor for Advanced Glycation End Products and Vertebral Fractures in Type 2 Diabetes (Endocrinol Metab 2012;27:289-94, Cheol Ho Lee et al.): Cheol Ho Lee, Min Kyung Lee, Hyun Jeong Han, Tae Ho Kim, Jae Hyuk Lee, Se Hwa Kim; Endocrinol Metab. 2013;28(1):78-79. Published online March 25, 2013; DOI: https://doi.org/10.3803/EnM.2013.28.1.78

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Original Article

The Association between Serum Endogenous Secretory Receptor for Advanced Glycation End Products and Vertebral Fractures in Type 2 Diabetes.: Cheol Ho Lee, Min Kyung Lee, Hyun Jeong Han, Tae Ho Kim, Jae Hyuk Lee, Se Hwa Kim; Endocrinol Metab. 2012;27(4):289-294. Published online December 20, 2012; DOI: https://doi.org/10.3803/EnM.2012.27.4.289

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Abstract PDF

BACKGROUND
Patients with type 2 diabetes are known to have an increased risk for osteoporotic fractures compared with non-diabetic subjects. We investigated whether the serum endogenous secretory receptor for advanced glycation end products (esRAGE) or pentosidine was associated with prevalent vertebral fractures in patients with type 2 diabetes. METHODS: We enrolled 140 patients with type 2 diabetes mellitus (73 men aged 50 or older and 67 postmenopausal women). Lateral X-ray films of the spine revealed prevalent vertebral fractures. The serum concentration of esRAGE and pentosidine were measured. RESULTS: The mean age of all patients was 66.2 +/- 6.5 years and 22% of patients had prevalent vertebral fractures. Serum pentosidine levels were similar between those with and without vertebral fractures. There were no significant correlations between serum esRAGE levels and age, body mass index, duration of diabetes, and hemoglobin A1c. However, patients with moderate or severe vertebral fractures have a lower esRAGE level compared to those without after adjusting for age and gender (0.33 +/- 0.12 ng/mL vs. 0.24 +/- 0.03 ng/mL, P < 0.05). Logistic regression analysis demonstrated that patients in the lowest tertile of esRAGE had a higher risk of moderate or severe vertebral fractures (odds ratio, 16.6; 95% confidence interval, 1.4-198.5) than patients in the highest tertile. CONCLUSION: These results revealed that a low esRAGE level was independently associated with moderate or severe vertebral fractures in type 2 diabetic patients.

Citations

Citations to this article as recorded by

Letter: The Association between Serum Endogenous Secretory Receptor for Advanced Glycation End Products and Vertebral Fractures in Type 2 Diabetes (Endocrinol Metab 2012;27:289-94, Cheol Ho Lee et al.)
You-Cheol Hwang
Endocrinology and Metabolism.2013; 28(1): 76. CrossRef

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