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Volume 42(1); February 2018
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Special Editorial
A Short but Long Journey with You
Kyu Chang Won
Diabetes Metab J. 2018;42(1):1-2.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.1
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  • 34 Download
  • 1 Web of Science
  • 3 Crossref
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  • Intuitive eating is associated with improved health indicators at 1-year postpartum in women with gestational diabetes mellitus
    Dan Yedu Quansah, Leah Gilbert, Justine Gross, Antje Horsch, Jardena J Puder
    Journal of Health Psychology.2021; 26(8): 1168.     CrossRef
  • Recent Developments in Alpha-Glucosidase Inhibitors for Management of Type-2 Diabetes: An Update
    Bashir Usman, Neha Sharma, Saurabh Satija, Meenu Mehta, Manish Vyas, Gopal L. Khatik, Navneet Khurana, Philip M. Hansbro, Kylie Williams, Kamal Dua
    Current Pharmaceutical Design.2019; 25(23): 2510.     CrossRef
  • Fifty Years of Compassionate Care and Harmonious Collaboration of the Korean Diabetes Association: The 50th Anniversary of Korean Diabetes Association
    Jong Chul Won, Eun-Jung Rhee, Hyung Joon Yoo
    Diabetes & Metabolism Journal.2018; 42(6): 475.     CrossRef
Reviews
Clinical Diabetes & Therapeutics
Recent Updates on Type 1 Diabetes Mellitus Management for Clinicians
Ahmed Iqbal, Peter Novodvorsky, Simon R. Heller
Diabetes Metab J. 2018;42(1):3-18.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.3
  • 6,928 View
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  • 18 Web of Science
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AbstractAbstract PDFPubReader   

Type 1 diabetes mellitus (T1DM) is a chronic autoimmune condition that requires life-long administration of insulin. Optimal management of T1DM entails a good knowledge and understanding of this condition both by the physician and the patient. Recent introduction of novel insulin preparations, technological advances in insulin delivery and glucose monitoring, such as continuous subcutaneous insulin infusion (CSII) and continuous glucose monitoring and improved understanding of the detrimental effects of hypoglycaemia and hyperglycaemia offer new opportunities and perspectives in T1DM management. Evidence from clinical trials suggests an important role of structured patient education. Our efforts should be aimed at improved metabolic control with concomitant reduction of hypoglycaemia. Despite recent advances, these goals are not easy to achieve and can put significant pressure on people with T1DM. The approach of physicians should therefore be maximally supportive. In this review, we provide an overview of the recent advances in T1DM management focusing on novel insulin preparations, ways of insulin administration and glucose monitoring and the role of metformin or sodium-glucose co-transporter 2 inhibitors in T1DM management. We then discuss our current understanding of the effects of hypoglycaemia on human body and strategies aimed at mitigating the risks associated with hypoglycaemia.

Citations

Citations to this article as recorded by  
  • Health-Related Quality of Life of Adolescents and Children With Type 1 Diabetes in the Jazan Region of Saudi Arabia
    Gassem A Gohal, Aqilah Majhali, Esaam Moafa, Sarah H Talebi, Bushra I Maashi, Amani Mutaen, Walaa J Alhamdan, Ibrahim M Dighriri
    Cureus.2024;[Epub]     CrossRef
  • Nose-to-brain delivery of insulin nanoparticles for diabetes management: A review
    Manoj Kumbhare, Ajaykumar Surana, Pravin Morankar
    Baghdad Journal of Biochemistry and Applied Biological Sciences.2023; 4(02): 39.     CrossRef
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • Impact of an Acceptance and Commitment Therapy programme on HbA1c, self-management and psychosocial factors in adults with type 1 diabetes and elevated HbA1c levels: a randomised controlled trial
    Ingrid Wijk, Susanne Amsberg, Unn-Britt Johansson, Fredrik Livheim, Eva Toft, Therese Anderbro
    BMJ Open.2023; 13(12): e072061.     CrossRef
  • Role of sirtuin-1 (SIRT1) in hypoxic injury in pancreatic β-cells
    Ye-Jee Lee, Esder Lee, Young-Hye You, Yu-Bae Ahn, Ki-Ho Song, Ji-Won Kim, Seung-Hyun Ko
    Journal of Drug Targeting.2021; 29(1): 88.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus
    Jong Ha Baek, Woo Je Lee, Byung-Wan Lee, Soo Kyoung Kim, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2021; 45(1): 46.     CrossRef
  • The impact of chemical engineering and technological advances on managing diabetes: present and future concepts
    Sabine Szunerits, Sorin Melinte, Alexandre Barras, Quentin Pagneux, Anna Voronova, Amar Abderrahmani, Rabah Boukherroub
    Chemical Society Reviews.2021; 50(3): 2102.     CrossRef
  • Surrogate markers and predictors of endogenous insulin secretion in children and adolescents with type 1 diabetes
    Jin-Na Yuan, Jian-Wei Zhang, Wayne S. Cutfield, Guan-Ping Dong, You-Jun Jiang, Wei Wu, Ke Huang, Xiao-Chun Chen, Yan Zheng, Bi-Hong Liu, José G. B. Derraik, Jun-Fen Fu
    World Journal of Pediatrics.2021; 17(1): 99.     CrossRef
  • Nano-based drug delivery systems used as vehicles to enhance polyphenols therapeutic effect for diabetes mellitus treatment
    Sónia Rocha, Mariana Lucas, Daniela Ribeiro, M. Luísa Corvo, Eduarda Fernandes, Marisa Freitas
    Pharmacological Research.2021; 169: 105604.     CrossRef
  • Dapagliflozin: an effective adjunctive treatment in type 1 diabetes
    Ghasem Yadegarfar, Mark Livingston, Gabriela Cortes, Ramadan Alshames, Kate Leivesley, Ann Metters, Linda Horne, Tom Steele, Adrian H. Heald
    Cardiovascular Endocrinology & Metabolism.2021; 10(2): 132.     CrossRef
  • Association between reduced serum levels of magnesium and the presence of poor glycemic control and complications in type 1 diabetes mellitus: A systematic review and meta-analysis
    Ana Kelen Rodrigues, Ana Elisa Melo, Caroline Pereira Domingueti
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(2): 127.     CrossRef
  • Insulin-Producing Cell Transplantation Platform for Veterinary Practice
    Suryo Kuncorojakti, Sayamon Srisuwatanasagul, Krishaporn Kradangnga, Chenphop Sawangmake
    Frontiers in Veterinary Science.2020;[Epub]     CrossRef
  • Type 1 Diabetes Home Care Project and Educational Consultation
    Eun Chong Shin
    The Journal of Korean Diabetes.2020; 21(2): 88.     CrossRef
  • Decision-Making in Artificial Intelligence: Is It Always Correct?
    Hun-Sung Kim
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • The FreeStyle Libre flash glucose monitoring system: how it has improved glycaemic control for people with type 1 diabetes in Eastern Cheshire, UK
    Ghasem Yadegarfar, Simon G. Anderson, Zohaib Khawaja, Gabriela Cortes, Kathryn Leivesley, Ann Metters, Linda Horne, Tom Steele, Adrian H. Heald
    Cardiovascular Endocrinology & Metabolism.2020; 9(4): 171.     CrossRef
  • Dose-dependent effects of necrostatin-1 supplementation to tissue culture media of young porcine islets
    Hien Lau, Nicole Corrales, Samuel Rodriguez, Colleen Luong, Mohammadreza Mohammadi, Veria Khosrawipour, Shiri Li, Michael Alexander, Paul de Vos, Jonathan R. T. Lakey, Zoltán Rakonczay
    PLOS ONE.2020; 15(12): e0243506.     CrossRef
  • New Insulin Pumps and Open Source Artificial Pancreas System in Korea
    Jae Hyeon Kim
    The Journal of Korean Diabetes.2020; 21(4): 197.     CrossRef
  • Perspective and general approach of diabetes in palliative care
    Díaz Rodríguez Juan Javier
    Hospice and Palliative Medicine International Journal.2018;[Epub]     CrossRef
  • The effects of safranal, a constitute of saffron, and metformin on spatial learning and memory impairments in type-1 diabetic rats: behavioral and hippocampal histopathological and biochemical evaluations
    Fatemeh Delkhosh-Kasmaie, Amir Abbas Farshid, Esmaeal Tamaddonfard, Mehdi Imani
    Biomedicine & Pharmacotherapy.2018; 107: 203.     CrossRef
Obesity and Metabolic Syndrome
Being Metabolically Healthy, the Most Responsible Factor for Vascular Health
Eun-Jung Rhee
Diabetes Metab J. 2018;42(1):19-25.   Published online January 26, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.19
  • 3,868 View
  • 48 Download
  • 5 Web of Science
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AbstractAbstract PDFPubReader   

The prevalence of obesity is rapidly increasing worldwide. One-thirds of world population is suffering from the deleterious effects of excessive fat and adipose tissue in their body. At the same time, the average life expectancy is becoming higher and higher every decade. Therefore, living healthy and longer is the dream for everyone. Simply being obese is not the primary cause for the consequence of obesity; rather, the depot where the fat is accumulated, is the primary key for the deleterious effects of obesity. Results from historical research suggest that visceral fat increases the risk for cardiovascular and metabolic diseases, such as diabetes, myocardial infarction and ischemic stroke, not subcutaneous fat. Therefore, body mass index (BMI), which reflects body weight relative to height might not reflect the appropriate size of metabolic burden of fat in our body. In contrast, waist circumference, which reflects abdominal obesity, would mirror the metabolic burden of fat better than BMI. Visceral fat is the marker of ectopic fat accumulation. In this review, I will introduce my researches mainly involved in uncovering the clues to the link between metabolic health and cardiovascular disease.

Citations

Citations to this article as recorded by  
  • Correlations between modest weight loss and leptin to adiponectin ratio, insulin and leptin resensitization in a small cohort of Norwegian individuals with obesity
    Victoria T. Isaksen, Maria A. Larsen, Rasmus Goll, Eyvind J. Paulssen, Jon R. Florholmen
    Endocrine and Metabolic Science.2023; 12: 100134.     CrossRef
  • Allostatic load in patients with breast cancer
    K. F. Makkonen, N. M. Agarkov, U. S. Stanoevich, A. A. Titov, M. S. Mitikhina, E. A. Moskaleva
    Siberian journal of oncology.2022; 21(4): 40.     CrossRef
  • Effect of glucocorticoids on glyceroneogenesis in adipose tissue: A systematic review
    Mariana Lima-de-Freitas Marcondes-de-Mello, Maria Cristina Serafim-Costa, Mariela Mesquita Alves-e-Silva, Natália Rodrigues Oliveira, Nicola Vasconcellos Bertolucci-Caldo, Ruan Krubniki Ferraz, Valéria Ernestânia Chaves
    Biochimie.2020; 168: 210.     CrossRef
  • Risk of type 2 diabetes according to the cumulative exposure to metabolic syndrome or obesity: A nationwide population‐based study
    You‐Bin Lee, Da Hye Kim, Seon Mee Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Kyungdo Han, Hye Jin Yoo
    Journal of Diabetes Investigation.2020; 11(6): 1583.     CrossRef
  • Hospitalization for heart failure incidence according to the transition in metabolic health and obesity status: a nationwide population-based study
    You-Bin Lee, Da Hye Kim, Seon Mee Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Kyungdo Han, Hye Jin Yoo
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Profound Perturbation of the Metabolome in Obesity Is Associated with Health Risk
    Elizabeth T. Cirulli, Lining Guo, Christine Leon Swisher, Naisha Shah, Lei Huang, Lori A. Napier, Ewen F. Kirkness, Tim D. Spector, C. Thomas Caskey, Bernard Thorens, J. Craig Venter, Amalio Telenti
    Cell Metabolism.2019; 29(2): 488.     CrossRef
  • Impact of the Dynamic Change of Metabolic Health Status on the Incident Type 2 Diabetes: A Nationwide Population-Based Cohort Study
    Jung A Kim, Da Hye Kim, Seon Mee Kim, Yong Gyu Park, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi, Kyungdo Han, Hye Jin Yoo
    Endocrinology and Metabolism.2019; 34(4): 406.     CrossRef
Editorial
Clinical Care/Education
Self-Monitoring of Blood Glucose in Patients with Insulin-Treated Type 2 Diabetes Mellitus
Kyung-Soo Kim
Diabetes Metab J. 2018;42(1):26-27.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.26
  • 3,478 View
  • 53 Download
  • 2 Web of Science
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Citations

Citations to this article as recorded by  
  • Association between frequency of self-monitoring of blood glucose and glycemic control in patients with type 2 diabetes
    Xiaoyan Sun, Xianghai Zhou, Shaobo Li, Linong Ji
    Diabetes Research and Clinical Practice.2024; 209: 111027.     CrossRef
  • Epidemiological profile and diabetes control of Type 1 Diabetes Mellitus patients in Karbala Governorate, Iraq
    Abdul Razzaq Oleiwi Jasim, Noor Abdul Razzaq, Ali Thoulfikar A. Imeer, Rahem Mahdi Rahem, Abdul Amir H. Kadhum, Ahmed A. Al-Amiery
    F1000Research.2023; 12: 409.     CrossRef
  • Evaluating the impact of self‐monitoring of blood glucose frequencies on glucose control in patients with type 2 diabetes who do not use insulin: A systematic review and meta‐analysis
    Yingqi Xu, David Hsien Yung Tan, Joyce Yu‐Chia Lee
    International Journal of Clinical Practice.2019;[Epub]     CrossRef
Original Articles
Clinical Care/Education
Improvement of Glycosylated Hemoglobin in Patients with Type 2 Diabetes Mellitus under Insulin Treatment by Reimbursement for Self-Monitoring of Blood Glucose
Young Shin Song, Bo Kyung Koo, Sang Wan Kim, Ka Hee Yi, Kichul Shin, Min Kyong Moon
Diabetes Metab J. 2018;42(1):28-42.   Published online September 28, 2017
DOI: https://doi.org/10.4093/dmj.2018.42.1.28
  • 4,177 View
  • 42 Download
  • 5 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

In Korea, the costs associated with self-monitoring of blood glucose (SMBG) for patients with type 2 diabetes mellitus (T2DM) under insulin treatment have been reimbursed since November 2015. We investigated whether this new reimbursement program for SMBG has improved the glycemic control in the beneficiaries of this policy.

Methods

Among all adult T2DM patients with ≥3 months of reimbursement (n=854), subjects without any changes in anti-hyperglycemic agents during the study period were selected. The improvement of glycosylated hemoglobin (HbA1c) was defined as an absolute reduction in HbA1c ≥0.6% or an HbA1c level at follow-up <7%.

Results

HbA1c levels significantly decreased from 8.5%±1.3% to 8.2%±1.2% during the follow-up (P<0.001) in all the study subjects (n=409). Among them, 35.5% (n=145) showed a significant improvement in HbA1c. Subjects covered under the Medical Aid system showed a higher prevalence of improvement in HbA1c than those with medical insurance (52.2% vs. 33.3%, respectively, P=0.012). In the improvement group, the baseline HbA1c (P<0.001), fasting C-peptide (P=0.016), and daily dose of insulin/body weight (P=0.024) showed significant negative correlations with the degree of HbA1c change. Multivariate analysis showed that subjects in the Medical Aid system were about 2.5-fold more likely to improve in HbA1c compared to those with medical insurance (odds ratio, 2.459; 95% confidence interval, 1.138 to 5.314; P=0.022).

Conclusion

The reimbursement for SMBG resulted in a significant improvement in HbA1c in T2DM subjects using insulin, which was more prominent in subjects with poor glucose control at baseline or covered under the Medical Aid system.

Citations

Citations to this article as recorded by  
  • Immunogenicity and Efficacy of Insulin Glargine Biosimilar Ezelin versus Originator Insulin Glargine in Patients with Type 2 Diabetes
    Tri Juli Edi Tarigan, Adisti Dwijayanti, Susie Setyowati, Melva Louisa
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 107.     CrossRef
  • Insulin Glargine U100 Utilization in Patients with Type 2 Diabetes in an Italian Real-World Setting: A Retrospective Study
    Luca Degli Esposti, Valentina Perrone, Stefania Saragoni, Valerio Blini, Stefano Buda, Rosella D’avella, Gina Gasperini, Fabio Lena, Francesca Fanelli, Luca Gazzi, Francesco Giorgino
    Journal of Diabetes Research.2019; 2019: 1.     CrossRef
  • Self-Monitoring of Blood Glucose in Patients with Insulin-Treated Type 2 Diabetes Mellitus
    Kyung-Soo Kim
    Diabetes & Metabolism Journal.2018; 42(1): 26.     CrossRef
Clinical Care/Education
Patient Understanding of Hypoglycemia in Tertiary Referral Centers
Nan Hee Cho, Nam Kyung Kim, Eugene Han, Jun Hwa Hong, Eon Ju Jeon, Jun Sung Moon, Mi Hae Seo, Ji Eun Lee, Hyun-Ae Seo, Mi-Kyung Kim, Hye Soon Kim
Diabetes Metab J. 2018;42(1):43-52.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.43
  • 4,717 View
  • 58 Download
  • 5 Web of Science
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AbstractAbstract PDFPubReader   
Background

Hypoglycemia is an important complication in the treatment of patients with diabetes. We surveyed the insight by patients with diabetes into hypoglycemia, their hypoglycemia avoidance behavior, and their level of worry regarding hypoglycemia.

Methods

A survey of patients with diabetes, who had visited seven tertiary referral centers in Daegu or Gyeongsangbuk-do, Korea, between June 2014 and June 2015, was conducted. The survey contained questions about personal history, symptoms, educational experience, self-management, and attitudes about hypoglycemia.

Results

Of 758 participants, 471 (62.1%) had experienced hypoglycemia, and 250 (32.9%) had experienced hypoglycemia at least once in the month immediately preceding the study. Two hundred and forty-two (31.8%) of the participants had received hypoglycemia education at least once, but only 148 (19.4%) knew the exact definition of hypoglycemia. Hypoglycemic symptoms identified by the participants were dizziness (55.0%), sweating (53.8%), and tremor (40.8%). They mostly chose candy (62.1%), chocolate (37.7%), or juice (36.8%) as food for recovering hypoglycemia. Participants who had experienced hypoglycemia had longer duration of diabetes and a higher proportion of insulin usage. The mean scores for hypoglycemia avoidance behavior and worry about hypoglycemia were 21.2±10.71 and 23.38±13.19, respectively. These scores tended to be higher for participants with higher than 8% of glycosylated hemoglobin, insulin use, and experience of emergency room visits.

Conclusion

Many patients had experienced hypoglycemia and worried about it. We recommend identifying patients that are anxious about hypoglycemia and educating them about what to do when they develop hypoglycemic symptoms, especially those who have a high risk of hypoglycemia.

Citations

Citations to this article as recorded by  
  • Severe Hypoglycemia Increases Dementia Risk and Related Mortality: A Nationwide, Population-based Cohort Study
    Eugene Han, Kyung-do Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Seung-Hyun Ko, Yong-ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(5): e1976.     CrossRef
  • Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
    Soo-Yeon Choi, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 263.     CrossRef
  • Severe hypoglycemia and the risk of end stage renal disease in type 2 diabetes
    Jae-Seung Yun, Yong-Moon Park, Kyungdo Han, Hyung-Wook Kim, Seon-Ah Cha, Yu-Bae Ahn, Seung-Hyun Ko
    Scientific Reports.2021;[Epub]     CrossRef
  • Response: Patient Understanding of Hypoglycemia in Tertiary Referral Centers (Diabetes Metab J 2018;42:43-52)
    Nan Hee Cho, Hye Soon Kim
    Diabetes & Metabolism Journal.2018; 42(2): 175.     CrossRef
  • Letter: Patient Understanding of Hypoglycemia in Tertiary Referral Centers (Diabetes Metab J 2018;42:43-52)
    Jae-Han Jeon
    Diabetes & Metabolism Journal.2018; 42(2): 173.     CrossRef
Epidemiology
Serum Betatrophin Concentrations and the Risk of Incident Diabetes: A Nested Case-Control Study from Chungju Metabolic Disease Cohort
Seung-Hwan Lee, Marie Rhee, Hyuk-Sang Kwon, Yong-Moon Park, Kun-Ho Yoon
Diabetes Metab J. 2018;42(1):53-62.   Published online November 3, 2017
DOI: https://doi.org/10.4093/dmj.2018.42.1.53
  • 3,700 View
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  • 8 Web of Science
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AbstractAbstract PDFPubReader   
Background

Betatrophin is a newly identified hormone derived from the liver and adipose tissue, which has been suggested to regulate glucose and lipid metabolism. Circulating levels of betatrophin are altered in various metabolic diseases, although the results are inconsistent. We aimed to examine whether betatrophin is a useful biomarker in predicting the development of diabetes.

Methods

A nested case-control study was performed using a prospective Chungju Metabolic disease Cohort Study. During a 4-year follow-up period, we analyzed 167 individuals who converted to diabetes and 167 non-converters, who were matched by age, sex, and body mass index. Serum betatrophin levels were measured by an ELISA (enzyme-linked immunosorbent assay).

Results

Baseline serum betatrophin levels were significantly higher in the converter group compared to the non-converter group (1,315±598 pg/mL vs. 1,072±446 pg/mL, P<0.001). After adjusting for age, sex, body mass index, fasting plasma glucose, systolic blood pressure, total cholesterol, and family history of diabetes, the risk of developing diabetes showed a stepwise increase across the betatrophin quartile groups. Subjects in the highest baseline quartile of betatrophin levels had more than a threefold higher risk of incident diabetes than the subjects in the lowest quartile (relative risk, 3.275; 95% confidence interval, 1.574 to 6.814; P=0.010). However, no significant relationships were observed between serum betatrophin levels and indices of insulin resistance or β-cell function.

Conclusion

Circulating levels of betatrophin could be a potential biomarker for predicting new-onset diabetes. Further studies are needed to understand the underlying mechanism of this association.

Citations

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  • Maternal and cord blood betatrophin (angiopoietin‐like protein 8) in pregnant women with gestational diabetes and normoglycemic controls: A systematic review, meta‐analysis, and meta‐regression
    Faustino R. Pérez‐López, Junhua Yuan, Manuel Sánchez‐Prieto, María T. López‐Baena, Gonzalo R. Pérez‐Roncero, Seshadri Reddy Varikasuvu
    Diabetes/Metabolism Research and Reviews.2023;[Epub]     CrossRef
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    Walaa Mohammedsaeed, Ahmed Ahmed, Nada Alharbi, Amjaad Aljohani, Razan Alruwaithi, Reem Alharbi, Shatha Alahmadi
    Cureus.2023;[Epub]     CrossRef
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    Hassan Tavassoli, Ali Heidarianpour
    The American Journal of the Medical Sciences.2021; 362(5): 496.     CrossRef
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    Leonardo Catalano-Iniesta, Virginia Sánchez Robledo, María Carmen Iglesias-Osma, Amparo Galán Albiñana, Sixto Carrero, Enrique J. Blanco, Marta Carretero-Hernández, José Carretero, María José García-Barrado
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    Reza Fadaei, Hossein Shateri, Johanna K. DiStefano, Nariman Moradi, Mohammad Mohammadi, Farzad Emami, Hassan Aghajani, Nasrin Ziamajidi
    Molecular and Cellular Biochemistry.2020; 469(1-2): 29.     CrossRef
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    Hao Hu, Guoyue Yuan, Xinchen Wang, Jin Sun, Zhaohua Gao, Tingting Zhou, Wenwen Yin, Ruonan Cai, Xing Ye, Zhaoling Wang
    Endocrine Journal.2019; 66(1): 89.     CrossRef
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    Yasmine Amr Issa, Samar Samy Abd ElHafeez, Noha Gaber Amin
    EPMA Journal.2019; 10(3): 239.     CrossRef
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    Maryam Esfahani, Mohammad Taghi Goodarzi
    Avicenna Journal of Medical Biochemistry.2019; 7(2): 61.     CrossRef
Complications
Color Doppler Ultrasonography Is a Useful Tool for Diagnosis of Peripheral Artery Disease in Type 2 Diabetes Mellitus Patients with Ankle-Brachial Index 0.91 to 1.40
Kyu Yeon Hur, Ji Eun Jun, Young Ju Choi, Yong-ho Lee, Dae Jung Kim, Seok Won Park, Byung Wook Huh, Eun Jig Lee, Sun-Ha Jee, Kap Bum Huh, Sung Hee Choi
Diabetes Metab J. 2018;42(1):63-73.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.63
  • 5,905 View
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AbstractAbstract PDFPubReader   
Background

The clinical utility of ankle-brachial index (ABI) is not clear in subjects with less severe or calcified vessel. Therefore, we investigated the usefulness of color Doppler ultrasonography for diagnosing peripheral artery disease (PAD) in type 2 diabetes mellitus (T2DM) subjects.

Methods

We analyzed 324 T2DM patients who concurrently underwent ABI and carotid intima-media thickness (CIMT) measurements and color Doppler ultrasonography from 2003 to 2006. The degree of stenosis in patients with PAD was determined according to Jager's criteria, and PAD was defined as grade III (50% to 99% stenosis) or IV stenosis (100% stenosis) by color Doppler ultrasonography. Logistic regression analysis and receiver operating characteristic curve analysis were performed to evaluate the risk factors for PAD in patients with ABI 0.91 to 1.40.

Results

Among the 324 patients, 77 (23.8%) had ABI 0.91 to 1.40 but were diagnosed with PAD. Color Doppler ultrasonography demonstrated that suprapopliteal arterial stenosis, bilateral lesions, and multivessel involvement were less common in PAD patients with ABI 0.91 to 1.40 than in those with ABI ≤0.90. A multivariate logistic regression analysis demonstrated that older age, current smoking status, presence of leg symptoms, and high CIMT were significantly associated with the presence of PAD in patients with ABI 0.91 to 1.40 after adjusting for conventional risk factors. CIMT showed significant power in predicting the presence of PAD in patients with ABI 0.91 to 1.40.

Conclusion

Color Doppler ultrasonography is a useful tool for the detection of PAD in T2DM patients with ABI 0.91 to 1.40 but a high CIMT.

Citations

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  • Effectiveness of bedside investigations to diagnose peripheral artery disease among people with diabetes mellitus: A systematic review
    Vivienne Chuter, Nicolaas Schaper, Joseph Mills, Robert Hinchliffe, David Russell, Nobuyoshi Azuma, Christian‐Alexander Behrendt, Edward J. Boyko, Michael S. Conte, Misty Humphries, Lee Kirksey, Katharine C. McGinigle, Sigrid Nikol, Joakim Nordanstig, Vin
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    Robert Fitridge, Vivienne Chuter, Joseph Mills, Robert Hinchliffe, Nobuyoshi Azuma, Christian‐Alexander Behrendt, Edward J. Boyko, Michael S. Conte, Misty Humphries, Lee Kirksey, Katharine C. McGinigle, Sigrid Nikol, Joakim Nordanstig, Vincent Rowe, David
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    Sherif M Zaki, Dina S El Karsh, Tuleen M Faden, Leen T Almghamsi, Joud O Fathaldin, Omar A Alhazmi
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    Muhammad Ahmad Raza, Abdul Rauf, Bushra Akmal Khan, Muhammad Asad Alam, Laamia Altuf, Aftab Alloudin, Saman Fatima
    Pakistan Journal of Health Sciences.2024; : 03.     CrossRef
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Obesity and Metabolic Syndrome
Lack of Evidence of the Role of APOA5 3’UTR Polymorphisms in Iranian Children and Adolescents with Metabolic Syndrome
Samaneh Salehi, Modjtaba Emadi-Baygi, Majdaddin Rezaei, Roya Kelishadi, Parvaneh Nikpour
Diabetes Metab J. 2018;42(1):74-81.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.74
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AbstractAbstract PDFPubReader   
Background

Metabolic syndrome (MetS) is a complex and multifactorial disorder characterized by insulin resistance, dyslipidaemia, hyperglycemia, abdominal obesity, and elevated blood pressure. The apolipoprotein A5 (APOA5) gene variants have been reported to correlate with two major components of MetS, including low levels of high density lipoprotein cholesterol (HDL-C) and high levels of triglyceride. In the present study, we explored the associations between five single nucleotide polymorphisms (SNPs) of APOA5 gene and the MetS risk.

Methods

In a case-control design, 120 Iranian children and adolescents with/without MetS were genotyped by polymerase chain reaction-sequencing for these SNPs. Then, we investigated the association of SNPs, individually or in haplotype constructs, with MetS risk.

Results

The rs34089864 variant and H1 haplotype (harboring the two major alleles of rs619054 and rs34089864) were associated with HDL-C levels. However, there was no significant association between different haplotypes/individual SNPs and MetS risk.

Conclusion

These results presented no association of APOA5 3’UTR SNPs with MetS. Further studies, including other polymorphisms, are required to investigate the involvement of APOA5 gene in the genetic susceptibility to MetS in the pediatric age group.

Citations

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  • Polymorphism of the APOA5 gene in patients with primary hyperlipidemia
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  • Association between single nucleotide polymorphisms rs72525532, rs45596738, rs148759216, rs188133936, and rs114627122 of APOA5 gene in children and adolescents with metabolic syndrome
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    Sun Huh
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Short Communication
Complications
Single Sensor Gait Analysis to Detect Diabetic Peripheral Neuropathy: A Proof of Principle Study
Patrick Esser, Johnny Collett, Kevin Maynard, Dax Steins, Angela Hillier, Jodie Buckingham, Garry D. Tan, Laurie King, Helen Dawes
Diabetes Metab J. 2018;42(1):82-86.   Published online January 3, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.82
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  • 69 Download
  • 15 Web of Science
  • 13 Crossref
AbstractAbstract PDFPubReader   

This study explored the potential utility of gait analysis using a single sensor unit (inertial measurement unit [IMU]) as a simple tool to detect peripheral neuropathy in people with diabetes. Seventeen people (14 men) aged 63±9 years (mean±SD) with diabetic peripheral neuropathy performed a 10-m walk test instrumented with an IMU on the lower back. Compared to a reference healthy control data set (matched by gender, age, and body mass index) both spatiotemporal and gait control variables were different between groups, with walking speed, step time, and SDa (gait control parameter) demonstrating good discriminatory power (receiver operating characteristic area under the curve >0.8). These results provide a proof of principle of this relatively simple approach which, when applied in clinical practice, can detect a signal from those with known diabetes peripheral neuropathy. The technology has the potential to be used both routinely in the clinic and for tele-health applications. Further research should focus on investigating its efficacy as an early indicator of or effectiveness of the management of peripheral neuropathy. This could support the development of interventions to prevent complications such as foot ulceration or Charcot's foot.

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Letter
Response
Response: Adipokines and Insulin Resistance According to Characteristics of Pregnant Women with Gestational Diabetes Mellitus (Diabetes Metab J 2017;41:457-65)
Eon Ju Jeon, Ji Hyun Lee
Diabetes Metab J. 2018;42(1):90-91.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.90
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PDFPubReader   

Citations

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    Yuanchun Li, Li Kang, Juanjuan Huang, Juan Zhang, Chunhua Liu, Wenjuan Shen
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Diabetes Metab J : Diabetes & Metabolism Journal