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Wu Z, Huang S, Li S, Cai J, Huang L, Wu W, Chen J, Tan J. Bone marrow mesenchymal stem cell and mononuclear cell combination therapy in patients with type 2 diabetes mellitus: a randomized controlled study with 8-year follow-up. Stem Cell Res Ther 2024; 15:339. [PMID: 39350270 PMCID: PMC11443831 DOI: 10.1186/s13287-024-03907-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 08/26/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND To investigate the long-term effects of combining bone marrow mesenchymal stem cells (MSCs) with mononuclear cells (MCs) in the treatment of type 2 diabetes mellitus (T2DM). METHODS T2DM patients were divided into the combination group (Dual MSC + MC, n = 33), the mononuclear cell group (MC-Only, n = 32) and the control group (Control, n = 31). All groups were treated with insulin and metformin. The Dual MSC + MC group additionally received MSC and MC infusion and the MC-Only group additionally received MC infusion. The patients were followed up for 8 years. The primary endpoint was the C-peptide area under the curve (C-p AUC) at 1 year. This study was registered with clinicaltrial.gov (NCT01719640). RESULTS A total of 97 patients were included and 89 completed the follow-up. The area under the curve of C-peptide of the Dual MSC + MC group and the MC-Only group was significantly increased (50.6% and 32.8%, respectively) at 1 year. After eight years of follow-up, the incidence of macrovascular complications was 13.8% (p = 0.009) in the Dual MSC + MC group and 21.4% (p = 0.061) in the MC-Only group, while it was 44.8% in the Control group. The incidence of diabetic peripheral neuropathy (DPN) was 10.3% (p = 0.0015) in the Dual MSC + MC group, 17.9% (p = 0.015) in the MC-Only group, and 48.3% in the Control group. CONCLUSIONS The combination of MSC and MC therapy can reduce the incidence of chronic diabetes complications and improves metabolic control with mild side effects in T2DM patients.
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Affiliation(s)
- Zhixian Wu
- Organ Transplant Institute, The 900th Hospital of Joint Logistic Support Force (Fuzhou General Hospital), Fuzong Clinical College of Fujian Medical University, Fuzhou, 350025, P.R. China
| | - Shulin Huang
- Endocrinology Department, The 900th Hospital of Joint Logistic Support Force, Fuzong Clinical College of Fujian Medical University, Fuzhou, P.R. China
| | - Shasha Li
- Organ Transplant Institute, The 900th Hospital of Joint Logistic Support Force (Fuzhou General Hospital), Fuzong Clinical College of Fujian Medical University, Fuzhou, 350025, P.R. China
| | - Jinquan Cai
- Organ Transplant Institute, The 900th Hospital of Joint Logistic Support Force (Fuzhou General Hospital), Fuzong Clinical College of Fujian Medical University, Fuzhou, 350025, P.R. China
| | - Lianghu Huang
- Organ Transplant Institute, The 900th Hospital of Joint Logistic Support Force (Fuzhou General Hospital), Fuzong Clinical College of Fujian Medical University, Fuzhou, 350025, P.R. China
| | - Weizhen Wu
- Organ Transplant Institute, The 900th Hospital of Joint Logistic Support Force (Fuzhou General Hospital), Fuzong Clinical College of Fujian Medical University, Fuzhou, 350025, P.R. China
| | - Jin Chen
- Organ Transplant Institute, The 900th Hospital of Joint Logistic Support Force (Fuzhou General Hospital), Fuzong Clinical College of Fujian Medical University, Fuzhou, 350025, P.R. China.
| | - Jianming Tan
- Organ Transplant Institute, The 900th Hospital of Joint Logistic Support Force (Fuzhou General Hospital), Fuzong Clinical College of Fujian Medical University, Fuzhou, 350025, P.R. China.
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Qiu H, Abudureyimu S, Liu M, Liu F, Gao Y. Study on the Interaction Between C3 Gene Polymorphism and Environment in Patients with Type 2 Diabetes Combined with Coronary Artery Disease. Diabetes Metab Syndr Obes 2024; 17:1467-1479. [PMID: 38562281 PMCID: PMC10982582 DOI: 10.2147/dmso.s447789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 03/19/2024] [Indexed: 04/04/2024] Open
Abstract
Objective This study was conducted to investigate the combined effect of genetic variation in the C3 gene and environmental factors on the risk of type 2 diabetes mellitus(T2DM) and coronary artery disease(CAD) in a population from Xinjiang, China. Methods We conducted a hospital-based case-control study with 896 participants (217 with T2DM+CAD and 679 healthy controls). A polymerase chain reaction-ligase detection reaction was used to identify and genotype TagSNPs in the C3 gene, and the influence of the interaction of two SNP loci (rs1047286 and rs11569562) with the environment on T2DM combined with CAD was evaluated through clinical data, statistical analysis of gene frequencies, and the formation of a gene-environment interaction model. Results We find that rs11569562 GG is an independent protective factor for T2DM and CAD (OR=0.353, p=0.012), and the variants at its locus may be closely associated with Activated Partial Thromboplastin Time (APTT), lipoprotein a (Lp(a)), Apolipoprotein A (APOA), Aspartate Aminotransferase (AST), Aspartate Aminotransferase (ALT) and AST/ALT levels (all P < 0.05); its GG genotype has significantly lower Gensini score and number of stenoses than the GA and AA genotypes. Multifactorial dimensionality reduction (MDR) finds a strong correlation between rs11569562 and AST (antagonistic effect) (4.44%); the role of rs11569562's influence remains strong in terms of the independent effects of each attribute (1.72%). Conclusions In this study, we find that variants in the C3 gene loci rs11569562 are associated with the incidence of type 2 diabetes mellitus combined with coronary heart disease in a Chinese population. It is expected to be an independent predictor of type 2 diabetes mellitus combined with coronary heart disease in the Chinese population. Rs11569562 may be associated with lipid levels and coagulation molecules. Clinical Trial Registration This trial registered on in 2014 at the China Clinical Trials Registry (ChiCTR-TRC-14005114).
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Affiliation(s)
- Haitang Qiu
- Department of Comprehensive Internal Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Shajidan Abudureyimu
- Department of Comprehensive Internal Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Mengjia Liu
- Department of Comprehensive Internal Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Fen Liu
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Clinical Medical Research, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Ying Gao
- Department of Comprehensive Internal Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
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Cojic M, Klisic A, Sahmanovic A, Petrovic N, Kocic G. Cluster analysis of patient characteristics, treatment modalities, renal impairments, and inflammatory markers in diabetes mellitus. Sci Rep 2024; 14:5994. [PMID: 38472402 PMCID: PMC10933260 DOI: 10.1038/s41598-024-56451-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 03/06/2024] [Indexed: 03/14/2024] Open
Abstract
Type 2 diabetes mellitus (T2DM) is caused by an interplay of various factors where chronic hyperglycemia and inflammation have central role in its onset and progression. Identifying patient groups with increased inflammation in order to provide more personalized approach has become crucial. We hypothesized that grouping patients into clusters according to their clinical characteristics could identify distinct unique profiles that were previously invisible to the clinical eye. A cross-sectional record-based study was performed at the Primary Health Care Center Podgorica, Montenegro, on 424 T2DM patients aged between 30 and 85. Using hierarchical clustering patients were grouped into four distinct clusters based on 12 clinical variables, including glycemic and other relevant metabolic indicators. Inflammation was assessed through neutrophil-to-lymphocyte (NLR) and platelet to lymphocyte ratio (PLR). Cluster 3 which featured the oldest patients with the longest T2DM duration, highest hypertension rate, poor glycemic control and significant GFR impairment had the highest levels of inflammatory markers. Cluster 4 which featured the youngest patients, with the best glycemic control, the highest GFR had the lowest prevalence of coronary disease, but not the lowest levels of inflammatory markers. Identifying these clusters offers physicians opportunity for more personalized T2DM management, potentially mitigating its associated complications.
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Affiliation(s)
- Milena Cojic
- University of Montenegro-Faculty of Medicine, Podgorica, Montenegro.
- Primary Health Care Center, Podgorica, Montenegro.
| | - Aleksandra Klisic
- University of Montenegro-Faculty of Medicine, Podgorica, Montenegro
- Primary Health Care Center, Podgorica, Montenegro
| | - Amina Sahmanovic
- University of Montenegro-Faculty of Medicine, Podgorica, Montenegro
- Primary Health Care Center, Podgorica, Montenegro
| | | | - Gordana Kocic
- Department of Medical Biochemistry, School of Medicine, University of Nis, Niš, Serbia
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Li W, Lai Z, Tang N, Tang F, Huang G, Lu P, Jiang L, Lei D, Xu F. Diabetic retinopathy related homeostatic dysregulation and its association with mortality among diabetes patients: A cohort study from NHANES. Diabetes Res Clin Pract 2024; 207:111081. [PMID: 38160736 DOI: 10.1016/j.diabres.2023.111081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/17/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024]
Abstract
AIMS To develop a metric termed the diabetic retinopathy-related homeostatic dysregulation (DRHD) value, and estimate its association with future risk of mortality in individuals with type 2 diabetes. METHODS With the data of the NHANES, the biomarkers associated with DR were identified from 40 clinical parameters using LASSO regression. Subsequently, the DRHD value was constructed utilizing the Mahalanobis distance approach. In the retrospective cohortof 6420 type 2 diabetes patients, we estimated the associations between DRHD values and mortality related to all-cause, cardiovascular disease (CVD) and diabetes-specific causes using Cox proportional hazards regression models. RESULTS A set of 14 biomarkers associated with DR was identified for the construction of DRHD value. During an average of 8 years of follow-up, the multivariable-adjusted HRs and corresponding 95 % CIs for the highest quartiles of DRHD values were 2.04 (1.76, 2.37), 2.32 (1.78, 3.01), and 2.29 (1.72, 3.04) for all-cause, CVD and diabetes-specific mortality, respectively. Furthermore, we developed a web-based calculator for the DRHD value to enhance its accessibility and usability (https://dzwxl-drhd.streamlit.app/). CONCLUSIONS Our study constructed the DRHD value as a measure to assess homeostatic dysregulation among individuals with type 2 diabetes. The DRHD values exhibited potential as a prognostic indicator for retinopathy and for mortality in patients affected by type 2 diabetes.
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Affiliation(s)
- Wenxiang Li
- Nanjing Medical University, Nanjing 210000, China
| | - Zhaoguang Lai
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning 530021, China
| | - Ningning Tang
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning 530021, China
| | - Fen Tang
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning 530021, China
| | - Guangyi Huang
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning 530021, China
| | - Peng Lu
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning 530021, China
| | - Li Jiang
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning 530021, China
| | - Daizai Lei
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning 530021, China.
| | - Fan Xu
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning 530021, China.
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Lei C, Gu J, Liu L, Zhang K, Zhang M. The correlation between peripheral complete blood count parameters and diabetic macular edema in proliferative diabetic retinopathy patients: a cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1190239. [PMID: 37538792 PMCID: PMC10395099 DOI: 10.3389/fendo.2023.1190239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/30/2023] [Indexed: 08/05/2023] Open
Abstract
Background Numerous studies have demonstrated that retinal chronic inflammation plays a critical role in the pathogenesis of diabetic macular edema (DME). However, studies about the association between peripheral complete blood count, an inexpensive and easily measurable laboratory index, and DME are limited. Research design and methods The current study was a hospital-based, cross-sectional study. The participants were inpatients with type 2 diabetes who underwent vitrectomy for PDR, and the contralateral eyes in these PDR patients meeting the criteria were included in the study. Central macular thickness (CMT) was measured automatically and the DME was characterized as CMT ≥ 300 μm. Results A total of 239 PDR participants were enrolled. The average age was 55.46 ± 10.08 years old, and the average CMT was 284.23 ± 122.09 μm. In the fully adjusted model, for CMT, the results revealed a significantly negative association between CMT and both white blood cell (WBC) count and neutrophil count (β = -11.95, 95% CI: -22.08, -1.82; p = 0.0218; β = -14.96, 95% CI: -28.02, -1.90; p = 0.0259, respectively); for DME, the results showed an inverse association between DME and WBC count, monocyte count, and eosinophil count (OR = 0.75, 95% CI: 0.59, 0.95; p = 0.0153; OR = 0.07, 95% CI: 0.00, 0.92; p = 0.0431; OR = 0.03, 95% CI: 0.00, 0.88; p = 0.0420, respectively). Conclusions In conclusion, our results suggest that WBC and its subtypes in circulation may play an important role in the pathogenesis of DME in PDR patients.
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Affiliation(s)
- Chunyan Lei
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Jinyue Gu
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Lili Liu
- Department of Ophthalmology, Zigong First People’s Hospital, Zigong, China
| | - Keren Zhang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Meixia Zhang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, China
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Cai D, Hou B, Xie SL. Amino acid analysis as a method of discovering biomarkers for diagnosis of diabetes and its complications. Amino Acids 2023:10.1007/s00726-023-03255-8. [PMID: 37067568 DOI: 10.1007/s00726-023-03255-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 02/21/2023] [Indexed: 04/18/2023]
Abstract
Diabetes mellitus (DM) is a severe chronic diseases with a global prevalence of 9%, leading to poor health and high health care costs, and is a direct cause of millions of deaths each year. The rising epidemic of diabetes and its complications, such as retinal and peripheral nerve disease, is a huge burden globally. A better understanding of the molecular pathways involved in the development and progression of diabetes and its complications can facilitate individualized prevention and treatment. High diabetes mellitus incidence rate is caused mainly by lack of non-invasive and reliable methods for early diagnosis, such as plasma biomarkers. The incidence of diabetes and its complications in the world still grows so it is crucial to develop a new, faster, high specificity and more sensitive diagnostic technologies. With the advancement of analytical techniques, metabolomics can identify and quantify multiple biomarkers simultaneously in a high-throughput manner, and effective biomarkers can greatly improve the efficiency of diabetes and its complications. By providing information on potential metabolic pathways, metabolomics can further define the mechanisms underlying the progression of diabetes and its complications, help identify potential therapeutic targets, and improve the prevention and management of T2D and its complications. The application of amino acid metabolomics in epidemiological studies has identified new biomarkers of diabetes mellitus (DM) and its complications, such as branched-chain amino acids, phenylalanine and arginine metabolites. This study focused on the analysis of metabolic amino acid profiling as a method for identifying biomarkers for the detection and screening of diabetes and its complications. The results presented are all from recent studies, and in all cases analyzed, there were significant changes in the amino acid profile of patients in the experimental group compared to the control group. This study demonstrates the potential of amino acid profiles as a detection method for diabetes and its complications.
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Affiliation(s)
- Dan Cai
- The Affiliated Nanhua Hospital, Department of Hand and Foot Surgery, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Biao Hou
- The Affiliated Nanhua Hospital, Department of Hand and Foot Surgery, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Song Lin Xie
- The Affiliated Nanhua Hospital, Department of Hand and Foot Surgery, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
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Lei C, Zhang Y, Zhang M. The association between different hypoglycemic regimens and postoperative diabetic macular edema after vitrectomy in the Japanese patients with proliferative diabetic retinopathy. Front Endocrinol (Lausanne) 2022; 13:764254. [PMID: 35937830 PMCID: PMC9355608 DOI: 10.3389/fendo.2022.764254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 07/01/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE To study the association between different hypoglycemic regimens and postoperative diabetic macular edema (DME). METHODS A secondary analysis based on a retrospective cohort study. RESULTS In this secondary analysis, 124 eyes from patients with proliferative diabetic retinopathy (PDR) who underwent pars plana vitrectomy (PPV) between January 2008 and September 2012 were included. We found that compared with oral hypoglycemic medication, oral hypoglycemic medication plus insulin treatment revealed an insignificant relationship with postoperative DME (odds ratio [OR]=0.8, 95% confidence interval [CI]: 0.12-5.21, P=0.8167), only insulin treatment revealed a significant association with postoperative DME (OR=0.10, 95% CI: 0.01-0.84, P=0.0337) after adjusted age, sex. After adjusted age, sex, diabetes mellitus (DM) duration, glycosylated hemoglobin (HbA1c), the results did not have obvious changes (OR=0.61, 95% CI: 0.09-4.26, P=0.6187; OR=0.07, 95% CI: 0.01-0.65, P=0.0197). Furthermore, after adjusted age, sex, DM duration, HbA1c, hypertension, intraoperative retinal photocoagulation, vitreous hemorrhage, macular detachment, fibrovascular membrane, intraocular lens implantation and microincision vitrectomy surgery, the results were consistent (OR=0.66, 95% CI: 0.05-9.49, P=0.7621; OR=0.06, 95% CI: 0.00-0.81, P=0.0342). The same trend was observed in these adjusted models as well (p for trend was 0.0254, 0.0141, and 0.0311, respectively). CONCLUSION In conclusion, our results of the secondary analysis should be interpreted as a significant association between insulin treatment and reduced risks of postoperative DME in Japanese PDR patients with PPV surgery, compared with oral medications. Well glycemic control with longstanding insulin therapy may be beneficial to reduce the risks of postoperative DME in PDR patients. Our investigation calls for large-scale and long-term prospective clinical studies for a full evaluation of the exact role of insulin in the progression of postoperative DME.
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Affiliation(s)
- Chunyan Lei
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Yun Zhang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Meixia Zhang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
- Research Laboratory of Macular Disease, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Meixia Zhang,
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SYSTEMIC FACTORS AND EARLY TREATMENT RESPONSE TO INTRAVITREAL INJECTION FOR DIABETIC MACULAR EDEMA: The Role of Renal Function. Retina 2021; 41:1275-1282. [PMID: 33141788 DOI: 10.1097/iae.0000000000003012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE To investigate the effect of systemic factors on early treatment response to intravitreal bevacizumab injection (IVBI) and intravitreal dexamethasone implant (IVDI) in patients with diabetic macular edema (DME). METHODS We reviewed the medical records of 117 treatment naïve DME patients who underwent IVBI. We divided the patients according to their IVBI response. An IVDI was performed in patients with poor response to IVBIs. We investigated the various systemic factors of diabetic patients and examined the relationship between systemic factors and the treatment response to IVBI and IVDI. RESULTS In a total of 117 treatment naïve DME eyes, 61 eyes (52.14%) were classified as IVBI responders. An IVDI was performed in 23 of 56 eyes with poor response to IVBI, and 17 eyes (73.91%) had a good response. Among various systemic factors of patients with diabetes, renal function (blood urea nitrogen, creatinine, and estimated glomerular filtration rate) showed a significant negative correlation with central subfield retinal thickness improvement after treatment (P < 0.05). However, there was no difference in HbA1C levels regarding the treatment response to IVBI and IVDI. CONCLUSION Renal function was significantly worse in patients with a poor response to IVBI and IVDI. Renal function could be used as a possible predictor for treatment response in certain patients with DME. Furthermore, for patients with DME with poor responses to anti-vascular endothelial growth factor or steroid treatments, assessment of renal function could help explain the poor treatment response.
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Rhee SY, Jung ES, Suh DH, Jeong SJ, Kim K, Chon S, Yu SY, Woo JT, Lee CH. Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema. Sci Rep 2021; 11:9727. [PMID: 33958610 PMCID: PMC8102569 DOI: 10.1038/s41598-021-88104-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 04/06/2021] [Indexed: 11/09/2022] Open
Abstract
To investigate the pathophysiologic characteristics of diabetic complications, we identified differences in plasma metabolites in subjects with type 2 diabetes (T2DM) with or without diabetic macular edema (DME) and a disease duration > 15 years. An cohort of older T2DM patients with prolonged disease duration was established, and clinical information and biospecimens were collected following the guidelines of the National Biobank of Korea. DME phenotypes were identified by ophthalmologic specialists. For metabolomics studies, propensity matched case and control samples were selected. To discover multi-biomarkers in plasma, non-targeted metabolite profiling and oxylipin profiling in the discovery cohort were validated in an extended cohort. From metabolomic studies, 5 amino acids (asparagine, aspartic acid, glutamic acid, cysteine, and lysine), 2 organic compounds (citric acid and uric acid) and 4 oxylipins (12-oxoETE, 15-oxoETE, 9-oxoODE, 20-carboxy leukotriene B4) were identified as candidate multi-biomarkers which can guide DME diagnosis among non-DME subjects. Receiver operating characteristic curves revealed high diagnostic value of the combined 5 amino acids and 2 organic compounds (AUC = 0.918), and of the 4 combined oxylipins (AUC = 0.957). Our study suggests that multi-biomarkers may be useful for predicting DME in older T2DM patients.
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Affiliation(s)
- Sang Youl Rhee
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
| | - Eun Sung Jung
- Department of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea
| | - Dong Ho Suh
- Department of Bioscience and Biotechnology, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029, Republic of Korea
| | - Su Jin Jeong
- Statistics Support Department, Kyung Hee University Medical Center Medical Science Research Institute, Seoul, Republic of Korea
| | - Kiyoung Kim
- Department of Ophthalmology, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea
| | - Seung-Young Yu
- Department of Ophthalmology, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Jeong-Taek Woo
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
| | - Choong Hwan Lee
- Department of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
- Department of Bioscience and Biotechnology, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029, Republic of Korea.
- Research Institute for Bioactive-Metabolome Network, Konkuk University, Seoul, Republic of Korea.
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Hwang H, Kim JY, Oh TK, Chae JB, Kim DY. Relationship between Clinical Features of Diabetic Retinopathy and Systemic Factors in Patients with Newly Diagnosed Type II Diabetes Mellitus. J Korean Med Sci 2020; 35:e179. [PMID: 32537951 PMCID: PMC7295598 DOI: 10.3346/jkms.2020.35.e179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 04/13/2020] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND We investigated the relationship between clinical features of diabetic retinopathy (DR) and systemic factors in patients with newly diagnosed type II diabetes mellitus (T2DM). METHODS Retrospective review of newly diagnosed T2DM-patients who underwent complete ophthalmic examinations at the time of T2DM diagnosis were conducted. We reviewed DM related systemic factor data and investigated systemic factors related to the presence of DR at T2DM diagnosis. In DR patients, the relationship between DR severity and systemic factors was analyzed. RESULTS Of 380 patients, forty (10.53%) patients had DR at the initial ophthalmologic examination. Glycated hemoglobin (HbA1C), fasting plasma glucose (FPG), urine albumin to creatinine ratio (UACR), and urine microalbumin level were significantly higher in DR patients than in patients without DR. In the multivariate logistic regression analysis, high HbA1C was a significant risk factor for the presence of DR at new T2DM diagnosis (odds ratio, 2.372; P < 0.001). HbA1C, FPG, UACR, and urine microalbumin level showed significantly positive correlations with DR severity . CONCLUSION In patients with newly diagnosed T2DM, 10.53% have DR at initial ophthalmologic examination and high HbA1C, FPG, UACR and urine microalbumin levels. These factors are significantly positively correlated with DR severity. Therefore, more careful fundus examination is needed for newly diagnosed T2DM patients with high HbA1C, FPG, UACR, and urine microalbumin levels.
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Affiliation(s)
- Hyeseong Hwang
- Department of Ophthalmology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Jin Young Kim
- Department of Ophthalmology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
| | - Tae Keun Oh
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Ju Byung Chae
- Department of Ophthalmology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Dong Yoon Kim
- Department of Ophthalmology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea.
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Chin SO, Ha IG, Rhee SY, Jeong SJ, Chon S, Kim SH, Ahn KJ, Baik SH, Park Y, Nam MS, Lee KW, Woo JT. Clinical Characteristics and Prevalence of Comorbidities according to Metformin Use in Korean Patients with Type 2 Diabetes. Int J Endocrinol 2020; 2020:9879517. [PMID: 32774367 PMCID: PMC7396103 DOI: 10.1155/2020/9879517] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/15/2020] [Accepted: 06/30/2020] [Indexed: 12/28/2022] Open
Abstract
METHODS This cross-sectional study based on the Korean National Diabetes Program 2 registry used its baseline clinical data collected from seven participating university hospitals in Korea. Patients with no significant changes in their oral hypoglycemic agents and no diabetes-related complications within the year prior to participation were enrolled. Patients' clinical characteristics according to metformin use were analyzed. RESULTS Among 858 subjects included in the analyses, 706 were metformin users and 152 were nonmetformin users. Metformin users were significantly younger and had higher and glycated hemoglobin with significantly lower rates of accompanying microvascular complications such as retinopathy, cataracts, overt proteinuria, renal insufficiency, and peripheral neuropathy than nonusers. Meanwhile, there was a significantly lower prevalence of malignancy and depression among metformin users. These associations remained significant in multivariate analyses. The prevalence rate of macrovascular complications was not significantly different between the two groups. CONCLUSIONS There were significant differences with respect to clinical characteristics and comorbidity prevalence according to metformin use among Korean type 2 diabetes patients. Long-term follow-up of these patients is necessary to observe how this difference will affect clinical outcomes for these patients.
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Affiliation(s)
- Sang Ouk Chin
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - In Gyoon Ha
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Su Jin Jeong
- Statistics Support Department, Kyung Hee University, Medical Center Science Research Institute, Seoul, Republic of Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Sung Hoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Cheil General Hospital and Women's Healthcare Center, College of Medicine, Dankook University, Yongin, Republic of Korea
| | - Kyu Jeung Ahn
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Sei Hyun Baik
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Yongsoo Park
- Department of Internal Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea
| | - Moon Suk Nam
- Department of Internal Medicine, College of Medicine, Inha University, Incheon, Republic of Korea
| | - Kwan Woo Lee
- Department of Endocrinology and Metabolism, College of Medicine, Ajou University, Suwon, Republic of Korea
| | - Jeong Taek Woo
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
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12
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Ondrejkova M, Jackuliak P, Martinka E, Mokan M, Foley J, Fabkova J, Gecik K, Tvrda I, Helbich M, Gajdosova M. Prevalence and epidemiological characteristics of patients with diabetic retinopathy in Slovakia: 12-month results from the DIARET SK study. PLoS One 2019; 14:e0223788. [PMID: 31830050 PMCID: PMC6907831 DOI: 10.1371/journal.pone.0223788] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 09/27/2019] [Indexed: 01/30/2023] Open
Abstract
Purpose To evaluate the prevalence and epidemiological characteristics of diabetic retinopathy (DR) in Slovakian patients with Type 1 and 2 diabetes mellitus (DM) in the DIARET SK study. Patients and methods An epidemiological multi-center survey that included 4,078 adult patients (aged ≥18 years) from 51 diabetologists and 47 ophthalmologists. Data were collected from February to December 2015. Results The final data set consisted of 4,014 patients; 3,700 were enrolled (Type 2 DM = 3,405, Type 1 DM = 295) using a quasi-random approach; 16 (Type 2 DM = 15, Type 1 DM = 1) patients in the pre-specified group had DM duration of <5 years with a history of DR while 298 patients (Type 2 DM = 204, Type 1 DM = 94) had DM duration of ≥ 20 years. The mean (standard deviation [SD]) age of patients at diagnosis for Types 2 and 1 DM was 53.4 (9.5) and 27.6 (12.9) years, respectively. The mean (SD) glycated hemoglobin (HbA1c) was 7.5 (1.4) and 8.5 (1.6) in Types 2 and 1 DM patients, respectively, whereas a slightly higher proportion of patients had >11.0 HbA1c in Type 1 DM (5.8%) than Type 2 (2.0%). The mean (SD) duration of Type 2 DM was shorter compared with Type 1 (7.5 [5.2] vs 10.3 [6.9] years). In Type 2 DM patients, there were 516 (15.5%) cases of DR, 19 (0.56%) of proliferative DR (PDR), and 106 (3.11%) of diabetic macular edema (DME). In Type 1 DM patients, there were 86 (29.15%) cases of DR, 10 (3.39%) PDR, and 12 (4.07%) DME. Conclusions In Slovakian patients with DM, the duration of disease and higher HbA1c were the most prevalent factors that contributed to the development of DR and DME.
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Affiliation(s)
| | - Peter Jackuliak
- 5 Clinic of Internal Medicine, Faculty of Medicine of the Comenius University Bratislava and University Hospital Bratislava, Workplace Hospital, Ruzinov, Slovakia
| | - Emil Martinka
- National Institute of Endocrinology and Diabetology, Lubochna, Slovakia
| | - Marian Mokan
- 1 Clinic of Internal Medicine, Jessenius Faculty of Medicine in Martin of the Comenius University in Bratislava, Slovakia
| | - James Foley
- Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, United States of America
| | | | - Karol Gecik
- Novartis Slovakia s.r.o., Bratislava, Slovakia
| | - Iveta Tvrda
- Novartis Slovakia s.r.o., Bratislava, Slovakia
| | | | - Monika Gajdosova
- Specialized Hospital in Ophthalmology, Zvolen, Slovakia
- * E-mail:
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Moon JS. Letter: Dipeptidyl Peptidase-4 Inhibitors versus Other Antidiabetic Drugs Added to Metformin Monotherapy in Diabetic Retinopathy Progression: A Real World-Based Cohort Study ( Diabetes Metab J 2019;43:640-8). Diabetes Metab J 2019; 43:911-912. [PMID: 31902149 PMCID: PMC6943264 DOI: 10.4093/dmj.2019.0207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea.
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Ko SH, Han K, Lee YH, Noh J, Park CY, Kim DJ, Jung CH, Lee KU, Ko KS. Past and Current Status of Adult Type 2 Diabetes Mellitus Management in Korea: A National Health Insurance Service Database Analysis. Diabetes Metab J 2018; 42:93-100. [PMID: 29676539 PMCID: PMC5911525 DOI: 10.4093/dmj.2018.42.2.93] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 03/04/2018] [Indexed: 01/21/2023] Open
Abstract
Korea's National Healthcare Program, the National Health Insurance Service (NHIS), a government-affiliated agency under the Korean Ministry of Health and Welfare, covers the entire Korean population. The NHIS supervises all medical services in Korea and establishes a systematic National Health Information database (DB). A health information DB system including all of the claims, medications, death information, and health check-ups, both in the general population and in patients with various diseases, is not common worldwide. On June 9, 2014, the NHIS signed a memorandum of understanding with the Korean Diabetes Association (KDA) to provide limited open access to its DB. By October 31, 2017, seven papers had been published through this collaborative research project. These studies were conducted to investigate the past and current status of type 2 diabetes mellitus and its complications and management in Korea. This review is a brief summary of the collaborative projects between the KDA and the NHIS over the last 3 years. According to the analysis, the national health check-up DB or claim DB were used, and the age category or study period were differentially applied.
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Affiliation(s)
- Seung Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Kyungdo Han
- Department of Biostatistics, The Catholic University of Korea, Seoul, Korea
| | - Yong Ho Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Cheol Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
| | - Chang Hee Jung
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ki Up Lee
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyung Soo Ko
- Department of Internal Medicine, Cardiovascular and Metabolic Disease Center, Inje University Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea.
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Rhee SY, Woo JT. Response: Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data (Diabetes Metab J 2017;41:393-404). Diabetes Metab J 2017; 41:494-495. [PMID: 29272085 PMCID: PMC5741560 DOI: 10.4093/dmj.2017.41.6.494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Affiliation(s)
- Sang Youl Rhee
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea
| | - Jeong Taek Woo
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
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Yun JS. Letter: Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data (Diabetes Metab J 2017;41:393-404). Diabetes Metab J 2017; 41:492-493. [PMID: 29272084 PMCID: PMC5741559 DOI: 10.4093/dmj.2017.41.6.492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Jae Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea.
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