Diabetes & Metabolism Journal

Sun Hee Kim (Kim SH)

4 Articles

Metformin Preserves Peripheral Nerve Damage with Comparable Effects to Alpha Lipoic Acid in Streptozotocin/High-Fat Diet Induced Diabetic Rats (Diabetes Metab J 2020;44:842-53): Sun Hee Kim, Tae Sun Park, Heung Yong Jin; Diabetes Metab J. 2021;45(1):127-128. Published online January 22, 2021; DOI: https://doi.org/10.4093/dmj.2020.0289

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Metformin Preserves Peripheral Nerve Damage with Comparable Effects to Alpha Lipoic Acid in Streptozotocin/High-Fat Diet Induced Diabetic Rats: Sun Hee Kim, Tae Sun Park, Heung Yong Jin; Diabetes Metab J. 2020;44(6):842-853. Published online May 28, 2020; DOI: https://doi.org/10.4093/dmj.2019.0190

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Background

Metformin is widely marketed medication for the treatment of diabetes, but its pharmacological effect on diabetic peripheral neuropathy remains unclear. In this study, the effect of metformin on peripheral nerves in diabetic rats was investigated using diverse neuronal parameters of nerve fibers.

Methods

Rats were assigned to one of four groups (n=7 to 10 per group): normal, diabetes mellitus (DM), DM+metformin (100 mg/kg), and DM+alpha lipoic acid (ALA, 100 mg/kg). DM was induced by streptozotocin/high-fat diet (STZ/HFD). After 12 weeks, the sensory thresholds to mechanical and heat stimuli were assessed. Repeated sensory tests, immunofluorescence microscopic comparison of peripheral nerves, and biochemical blood analysis were performed after 24 weeks.

Results

Both DM+metformin and DM+ALA groups showed similar trends to diverse sensory tests at 24 weeks compared to DM group although the degree of change were different according to the stimulated senses. There was no significant difference in the comparison of the intraepidermal nerve fiber density (IENFD) of peripheral nerves between the DM+metformin and DM+ALA groups (11.83±0.07 fibers/mm vs. 12.37±1.82 fibers/mm, respectively). Both groups showed preserved IENFD significantly compared with DM group (8.46±1.98 fibers/mm, P<0.05). Sciatic nerve morphology of the experimental animals showed a similar trend to the IENFD, with respect to axonal diameter, myelin sheath thickness, and myelinated fiber diameter.

Conclusion

Metformin has beneficial pharmacological effects on the preservation of peripheral nerves in diabetic rats and its effects are comparable to those of ALA.

Citations

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Metformin therapy modifies corneal neuroimmune abnormalities in people with type 2 diabetes
Amy T. Tsoi, Janice Sng, Shyam S. Tummanapalli, Tushar Issar, Ann M. Poynten, Kerry-Lee Milner, Maria Markoulli, Roshan Dhanapalaratnam, Arun V. Krishnan
Diabetologia.2025;[Epub] CrossRef
Metformin improves diabetic neuropathy by reducing inflammation through up-regulating the expression of miR-146a and suppressing oxidative stress
Fengmin Liu, Fangqin You, Lihang Yang, Siyun Wang, Diya Xie
Journal of Diabetes and its Complications.2024; 38(6): 108737. CrossRef
The Protective Role of Caffeine against Histological and Ultrastructural Changes of Peripheral Nerve in Type 2 Diabetic Rats
Manal A. Othman, Bhagath Kumar Potu, Aisha Rashid, Ayesha Fatima, Wael Amin Nasr El-Din
Cell and Tissue Biology.2024; 18(5): 535. CrossRef
The Role and Mechanism of Metformin in the Treatment of Nervous System Diseases
Hui Li, Ruhui Liu, Junyan Liu, Yi Qu
Biomolecules.2024; 14(12): 1579. CrossRef
Effect of Metformin on the Functional and Electrophysiological Recovery of Crush Injury-Induced Facial Nerve Paralysis in Diabetic Rats
Kyung Hoon Sun, Cheol Hee Choi, Gwang-Won Cho, Chul Ho Jang
Journal of Personalized Medicine.2023; 13(9): 1317. CrossRef
Is metformin neuroprotective against diabetes mellitus-induced neurodegeneration? An updated graphical review of molecular basis
Fatemeh Karami, Hamidreza Jamaati, Natalie Coleman-Fuller, Maryam Shokrian Zeini, A. Wallace Hayes, Mina Gholami, Mahsa Salehirad, Mohammad Darabi, Majid Motaghinejad
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Early Diagnosis through Estimation of Inflammatory Biomarkers and the Neuroprotective Role of Metformin in Diabetic Peripheral Neuropathy
Laxmi Sri, Prabhakar Orsu
International Journal of Pharmaceutical Sciences and Nanotechnology(IJPSN).2023; 16(2): 6427. CrossRef
Bidirectional association between diabetic peripheral neuropathy and vitamin B12 deficiency: Two longitudinal 9-year follow-up studies using a national sample cohort
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Primary Care Diabetes.2023; 17(5): 436. CrossRef
An overview of painful diabetic peripheral neuropathy: Diagnosis and treatment advancements
Jonathan M. Hagedorn, Alyson M. Engle, Tony K. George, Jay Karri, Newaj Abdullah, Erik Ovrom, Jhon E. Bocanegra-Becerra, Ryan S. D'Souza
Diabetes Research and Clinical Practice.2022; 188: 109928. CrossRef
The role of MicroRNA networks in tissue-specific direct and indirect effects of metformin and its application
Qinzhi Yang, Gang Wang, Dan Fang, Xiaojun Gao, Yu Liang, Liqun Wang, Jianbo Wu, Min Zeng, Mao Luo
Biomedicine & Pharmacotherapy.2022; 151: 113130. CrossRef
Is metformin a possible treatment for diabetic neuropathy?
Juechun Wei, Yanling Wei, Meiyan Huang, Peng Wang, Shushan Jia
Journal of Diabetes.2022; 14(10): 658. CrossRef
Metformin as a potential therapeutic for neurological disease: mobilizing AMPK to repair the nervous system
Sarah Demaré, Asha Kothari, Nigel A. Calcutt, Paul Fernyhough
Expert Review of Neurotherapeutics.2021; 21(1): 45. CrossRef
Metformin Preserves Peripheral Nerve Damage with Comparable Effects to Alpha Lipoic Acid in Streptozotocin/High-Fat Diet Induced Diabetic Rats (Diabetes Metab J 2020;44:842-53)
Bo Kyung Koo
Diabetes & Metabolism Journal.2021; 45(1): 125. CrossRef
Metformin Preserves Peripheral Nerve Damage with Comparable Effects to Alpha Lipoic Acid in Streptozotocin/High-Fat Diet Induced Diabetic Rats (Diabetes Metab J 2020;44:842-53)
Sun Hee Kim, Tae Sun Park, Heung Yong Jin
Diabetes & Metabolism Journal.2021; 45(1): 127. CrossRef
Impacts of statin and metformin on neuropathy in patients with type 2 diabetes mellitus: Korean Health Insurance data
Hong Ki Min, Se Hee Kim, Jong Han Choi, Kyomin Choi, Hae-Rim Kim, Sang-Heon Lee
World Journal of Clinical Cases.2021; 9(33): 10198. CrossRef

The Relationship between Anemia and the Initiation of Dialysis in Patients with Type 2 Diabetic Nephropathy: Sun Hee Kim, Kyung Ae Lee, Heung Yong Jin, Hong Sun Baek, Tae Sun Park; Diabetes Metab J. 2015;39(3):240-246. Published online April 22, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.3.240

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Background

Anemia is associated with various poor clinical outcomes in chronic kidney disease patients. The aim of this study was to investigate the relationship between anemia and the initiation degree and time of dialysis in type 2 diabetic nephropathy patients.

Methods

This observational retrospective study included 130 type 2 diabetic nephropathy patients in Korea. The existence of anemia, the degree and time of dialysis initiation were reviewed. Clinical characteristics and variables were also compared.

Results

The levels of hemoglobin and serum creatinine were significantly correlated with the dialysis initiation (P<0.05) during the 10-year follow-up period. Patients with anemia showed rapid decline of renal function, causing significantly more dialysis initiation (54.1% vs. 5.4%, P<0.05) compare to the patients without anemia. Average time to initiate dialysis in patients with anemia was 45.1 months (range, 8.0 to 115.8 months), which was significantly faster than that (68.3 months [range, 23.3 to 108.8 months]) in patients without anemia (P<0.01). The risk to dialysis initiation was significantly increased in patients with anemia compared to the patients without anemia (adjusted hazard ratio, 8.1; 95% confidence interval, 2.4 to 27.0; P<0.05).

Conclusion

Anemia is associated with rapid decline of renal dysfunction and faster initiation of dialysis in diabetic nephropathy patients. Therefore, clinicians should pay an earlier attention to anemia during the management of diabetes.

Citations

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Microalbuminuria as the Tip of Iceberg in Type 2 Diabetes Mellitus: Prevalence, Risk Factors, and Associated Diabetic Complications
Sohaib Asghar, Shoaib Asghar, Tayyab Mahmood, Syed Muhammad Hassan Bukhari, Muhammad Habib Mumtaz, Ali Rasheed
Cureus.2023;[Epub] CrossRef
The Association between Serum Hemoglobin and Renal Prognosis of IgA Nephropathy
Tae Ryom Oh, Su Hyun Song, Hong Sang Choi, Chang Seong Kim, Seung Hyeok Han, Kyung Pyo Kang, Young Joo Kwon, Soo Wan Kim, Seong Kwon Ma, Eun Hui Bae
Journal of Clinical Medicine.2021; 10(2): 363. CrossRef
Prevalence of anemia in diabetic adult outpatients in Northeast Ethiopia
Temesgen Fiseha, Aderaw Adamu, Melkam Tesfaye, Angesom Gebreweld, Jennifer A. Hirst
PLOS ONE.2019; 14(9): e0222111. CrossRef
Targeted Clinical Metabolite Profiling Platform for the Stratification of Diabetic Patients
Linda Ahonen, Sirkku Jäntti, Tommi Suvitaival, Simone Theilade, Claudia Risz, Risto Kostiainen, Peter Rossing, Matej Orešič, Tuulia Hyötyläinen
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Effect of high density lipoprotein cholesterol on the relationship of serum iron and hemoglobin with kidney function in diabetes
Ashley N. Williams, Baqiyyah N. Conway
Journal of Diabetes and its Complications.2017; 31(6): 958. CrossRef

Relationship between the Korean Version Survey of the Autonomic Symptoms Score and Cardiac Autonomic Neuropathy Parameters in Patients with Diabetic Peripheral Neuropathy: Sun Hee Kim, Kyung Ae Lee, Heung Yong Jin, Hong Sun Baek, Tae Sun Park; Diabetes Metab J. 2014;38(5):349-355. Published online October 17, 2014; DOI: https://doi.org/10.4093/dmj.2014.38.5.349

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Background

The Survey of Autonomic Symptom (SAS) scale was reported as an easy instrument to assess the autonomic symptoms in patients with early diabetic neuropathy. In this study, we investigated the relationship between the SAS scale and the parameters of cardiac autonomic neuropathy (CAN) in Korean patients with diabetic peripheral neuropathy (DPN).

Methods

The SAS scale was tested in 30 healthy controls and 73 patients with DPN at Chonbuk National University Hospital, in Korea. The SAS score was compared to the parameters of the CAN test and the total symptom score (TSS) for DPN in patients with DPN.

Results

The SAS symptom score and total impact score were increased in patients with DPN compared to the control group (P=0.01), particularly in sudomotor dysfunction (P=0.01), and vasomotor dysfunction (P=0.01). The SAS score was increased in patients with CAN compared to patients without CAN (P<0.05). Among the diverse CAN parameters, the valsalva ratio and postural hypotension were associated with the SAS score (P<0.05). However, there was no association between the SAS scale and TSS for DPN, and TSS for DPN did not differ between patients with and without CAN.

Conclusion

SAS is a simple instrument that can be used to assess autonomic symptoms in patients with diabetes and can be used as a screening tool for autonomic neuropathy, particularly for CAN.

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Peripheral Nerve Conduction And Sympathetic Skin Response Are Reliable Methods to Detect Diabetic Cardiac Autonomic Neuropathy
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The hemodynamic and pain impact of peripheral nerve block versus spinal anesthesia in diabetic patients undergoing diabetic foot surgery
Hou Yee Lai, Li Lian Foo, Siu Min Lim, Chen Fei Yong, Pui San Loh, Sook Hui Chaw, Mohd Shahnaz Hasan, Chew Yin Wang
Clinical Autonomic Research.2020; 30(1): 53. CrossRef
Update on the Impact, Diagnosis and Management of Cardiovascular Autonomic Neuropathy in Diabetes: What Is Defined, What Is New, and What Is Unmet
Vincenza Spallone
Diabetes & Metabolism Journal.2019; 43(1): 3. CrossRef
Validation of the Composite Autonomic Symptom Score 31 (COMPASS 31) for the assessment of symptoms of autonomic neuropathy in people with diabetes
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Diabetic Medicine.2017; 34(6): 834. CrossRef
Cardiovascular Autonomic Dysfunction Predicts Diabetic Foot Ulcers in Patients With Type 2 Diabetes Without Diabetic Polyneuropathy
Jae-Seung Yun, Seon-Ah Cha, Tae-Seok Lim, Eun-Young Lee, Ki-Ho Song, Yu-Bae Ahn, Ki-Dong Yoo, Joon-Sung Kim, Yong-Moon Park, Seung-Hyun Ko
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Retinal Neurodegeneration Associated With Peripheral Nerve Conduction and Autonomic Nerve Function in Diabetic Patients
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American Journal of Ophthalmology.2016; 170: 15. CrossRef
Screening of Autonomic Neuropathy in Patients with Type 2 Diabetes
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Diabetes & Metabolism Journal.2014; 38(5): 346. CrossRef

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