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Alves Abrantes JJP, Veríssimo de Azevedo JC, Fernandes FL, Duarte Almeida V, Custódio De Oliveira LA, Ferreira de Oliveira MT, Galvão De Araújo JM, Lanza DCF, Bezerra FL, Andrade VS, Araújo de Medeiros Fernandes TA, Fernandes JV. Viruses as a potential environmental trigger of type 1 diabetes mellitus (Review). Biomed Rep 2024; 20:81. [PMID: 38628629 PMCID: PMC11019645 DOI: 10.3892/br.2024.1770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/07/2023] [Indexed: 04/19/2024] Open
Abstract
The etiopathogenesis of type 1 diabetes mellitus (T1DM) is a complex multifactorial process that involves an intricate network of genetic, epigenetic, immunological, and environmental factors. Despite the advances in recent years, some aspects of the mechanisms involved in triggering the disease are still unclear. Infections with certain viruses have been suggested as possible environmental triggers for the autoimmune process that leads to selective and progressive destruction of pancreatic β-cells and insufficiency of insulin production, which is its hallmark. In this review, advances in knowledge and evidence that suggest the participation of certain viruses in the mechanisms of disease initiation and progression are described. It has been accepted that environmental factors, including viruses, can initiate and possibly sustain, accelerate, or slow down the autoimmune process and consequently damage insulin-producing pancreatic β-cells. Although the role of these agents, especially human enteroviruses, has been exhaustively studied as the most likely triggers of the activation of autoimmunity that destroys pancreatic islets and leads to T1DM, certain doubts remain. Clinical epidemiological and experimental studies in humans and animals provide consistent and increasing evidence that persistent viral infections, especially with human enteroviruses and rotavirus infections, are associated with an increased risk of the disease in individuals genetically predisposed to autoimmunity.
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Affiliation(s)
| | | | - Fernando Liberalino Fernandes
- Department of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Rio Grande do Norte 59607-360, Brazil
| | - Valéria Duarte Almeida
- Department of Biomedical Sciences, Rio Grande do Norte State University, Mossoró, Rio Grande do Norte 59607-360, Brazil
| | | | | | - Josélio Maria Galvão De Araújo
- Department of Microbiology and Parasitology, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil
| | - Daniel Carlos Ferreira Lanza
- Laboratory of Applied Molecular Biology, Department of Biochemistry, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil
| | - Fabiana Lima Bezerra
- Department of Microbiology and Parasitology, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil
| | - Vania Sousa Andrade
- Department of Microbiology and Parasitology, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil
| | | | - José Veríssimo Fernandes
- Department of Microbiology and Parasitology, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte 59078-970, Brazil
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Fan W, Nan X, Peng Y, Li X, Xiang Y, Yan X, Xie Z, Zhou H, Tang X, Cheng J, Niu X, Liu J, Ji Q, Ji L, Huang G, Zhou Z. Distribution of autoantibodies to insulinoma-associated antigen-2 and zinc transporter 8 in type 1 diabetes and latent autoimmune diabetes: A nationwide, multicentre, cross-sectional study. Diabetes Metab Res Rev 2023; 39:e3592. [PMID: 36401613 PMCID: PMC10078268 DOI: 10.1002/dmrr.3592] [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: 07/06/2022] [Revised: 09/18/2022] [Accepted: 10/05/2022] [Indexed: 11/21/2022]
Abstract
AIMS This study investigated insulinoma-associated-2 autoantibody (IA-2A) and zinc transporter 8 autoantibody (ZnT8A) distribution in patients with type 1 diabetes (T1D) and latent autoimmune diabetes (LAD) and the autoantibodies' association with clinical characteristics and HLA-DR-DQ genes. MATERIALS AND METHODS This cross-sectional study recruited 17,536 patients with diabetes from 46 hospitals across China. A total of 189 patients with T1D and 58 patients with LAD with IA-2A positivity, 126 patients with T1D and 86 patients with LAD with ZnT8A positivity, and 231 patients with type 2 diabetes (T2D) were selected to evaluate islet autoantibodies, clinical phenotypes, and HLA-DR-DQ gene frequency. RESULTS IA-2A was bimodally distributed in patients with T1D and LAD. Patients with low IA-2A titre LAD had lower fasting C-peptide (FCP) (p < 0.01), lower postprandial C-peptide (PCP) (p < 0.001), and higher haemoglobin A1c (HbA1c) levels (p < 0.05) than patients with T2D. Patients with high IA-2A titre LAD were younger than patients with low IA-2A titre LAD (p < 0.05). Patients with low IA-2A titre T1D had lower FCP (p < 0.01), lower PCP (p < 0.01), and higher HbA1c levels (p < 0.05) than patients with high IA-2A titre LAD. HLA-DR-DQ genetic analysis demonstrated that the frequency of susceptible HLA haplotypes was higher in IA-2A-positive patients (p < 0.001) than in patients with T2D. Patients with high ZnT8A titre LAD had lower FCP (p = 0.045), lower PCP (p = 0.023), and higher HbA1c levels (p = 0.009) and a higher frequency of total susceptible haplotypes (p < 0.001) than patients with low ZnT8A titre LAD. CONCLUSIONS IA-2A in patients with T1D and LAD was bimodally distributed, and the presence of IA-2A could demonstrate partial LAD clinical characteristics. ZnT8A titre had a certain predictive value for islet functions in patients with LAD.
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Affiliation(s)
- Wenqi Fan
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xixi Nan
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yiman Peng
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yufei Xiang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiang Yan
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhiguo Xie
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Houde Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaohan Tang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jin Cheng
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaohong Niu
- Department of Endocrinology, Heji Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Jing Liu
- Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China
| | - Qiuhe Ji
- Department of Endocrinology, Xijing Hospital, Fourth Military Medical University, Xi an, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Gan Huang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
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3
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Nan X, Li X, Xiang Y, Yan X, Zhou H, Tang X, Cheng J, Niu X, Liu J, Ji Q, Ji L, Huang G, Zhou Z. Screening Strategy for Islet Autoantibodies in Diabetes Patients of Different Ages. Diabetes Technol Ther 2022; 24:212-219. [PMID: 34704825 DOI: 10.1089/dia.2021.0177] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Background: The detection of islet autoantibodies is essential for the accurate classification and diagnosis of diabetes mellitus (DM). The islet autoantibody distribution varies by age. However, screening strategies for DM patients with different onset ages remain lacking. Materials and Methods: This cross-sectional study included 17,536 DM patients from 46 medical centers across China. The seroprevalence of glutamic acid decarboxylase autoantibody (GADA), insulinoma-associated-2 autoantibody (IA-2A), zinc transporter 8 autoantibody (ZnT8A), and insulin autoantibody (IAA) was determined in younger and older patients with type 1 DM (T1DM) (n = 287 and 285, respectively), younger and older patients with latent autoimmune diabetes (LAD) (n = 140 and 121, respectively), and younger and older patients with type 2 DM (n = 200 in each group). Results: The cutoff age between younger and older patients was 35 years using restricted cubic spline method (n = 17,536, adjusted R2 = 0.97, residual standard error = 1.32; P < 0.001). The seroprevalence rates of four islet autoantibodies were higher in patients aged 15-35 years than in those ≥35 years (GADA: 17% vs. 5.6%, IA-2A: 8.5% vs. 1.3%, ZnT8A: 6.3% vs. 2.3%, IAA: 2.2% vs. 1.0%). The prevalence of ZnT8A was higher in LAD patients than in T1DM patients, especially in older LAD patients. The results indicated that ZnT8A detection can increase the detection rate of older LAD patients from 70.2% (based on GADA detection alone) to 91.7%. Conclusions: In patients stratified according to the cutoff age of 35 years, the optimal detection sequence should be GADA, IA-2A, and ZnT8A in younger patients and GADA, ZnT8A, and IA-2A in older patients, so as to reduce the screening cost while improving the detection rate. Particularly, the ZnT8A test is recommended in older patients to avoid a missed LAD diagnosis.
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Affiliation(s)
- Xixi Nan
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Xia Li
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Yufei Xiang
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Xiang Yan
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Houde Zhou
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Xiaohan Tang
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Jin Cheng
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Xiaohong Niu
- Department of Endocrinology, Heji Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Jing Liu
- Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China
| | - Qiuhe Ji
- Department of Endocrinology, Fourth Military Medical University, Xijing Hospital, Xi an, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Gan Huang
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Zhiguang Zhou
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
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4
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Zhang M, Liu D, Qin P, Liu Y, Sun X, Li H, Wu X, Zhang Y, Han M, Qie R, Huang S, Li Y, Wu Y, Yang X, Feng Y, Zhao Y, Hu D, Hu F. Association of metabolic score for insulin resistance and its 6-year change with incident type 2 diabetes mellitus. J Diabetes 2021; 13:725-734. [PMID: 33644990 DOI: 10.1111/1753-0407.13161] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 01/09/2021] [Accepted: 01/23/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The evidence for the association between metabolic score for insulin resistance (METS-IR) and type 2 diabetes mellitus (T2DM) is limited. We aimed to explore the association of METS-IR and its 6-year change with risk of incident T2DM in a rural Chinese population. METHODS We analyzed data for 12 107 participants (mean age 50.48 years). A Cox proportional-hazard model was used to estimate the association of METS-IR with incident T2DM by using hazard ratios (HRs) and 95% confidence intervals (CIs); a logistic regression model was used to assess the association of 6-year METS-IR change with incident T2DM by using odds ratios (ORs) and 95% CIs. We used subgroup analyses of the association of METS-IR and its 6-year change with incident T2DM by sex, age, and baseline fasting plasma glucose (FPG) level as well as restricted cubic splines to describe the dose-response association. RESULTS The association of METS-IR and 6-year METS-IR change with incident T2DM was significant (per SD unit increase: HR = 1.80, 95% CI: 1.60-2.02 for METS-IR, OR = 1.42, 95% CI: 1.28-1.57 and OR = 1.59, 95% CI: 1.44-1.76 for relative and absolute METS-IR change). The significant association remained on subgroup analyses by sex, age, and baseline FPG level. Dose-response analysis demonstrated that the probability of incident T2DM was significantly increased with increasing METS-IR and 6-year METS-IR change. CONCLUSIONS Increased METS-IR and 6-year METS-IR change were positively associated with risk of incident T2DM in a rural Chinese population. METS-IR may be a vital indicator for identifying T2DM.
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Affiliation(s)
- Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
| | - Dechen Liu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
| | - Pei Qin
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
| | - Yu Liu
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Xizhuo Sun
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Honghui Li
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Xiaoyan Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Yanyan Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yang Li
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Yuying Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen, China
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Zhang M, Sheng C, You H, Cai M, Gao J, Cheng X, Sheng H, Qu S. Comparing the bone mineral density among male patients with latent autoimmune diabetes and classical type 1 and type 2 diabetes, and exploring risk factors for osteoporosis. J Endocrinol Invest 2021; 44:1659-1665. [PMID: 33387352 DOI: 10.1007/s40618-020-01472-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 11/21/2020] [Indexed: 12/21/2022]
Abstract
AIMS This study aimed to compare the bone mineral densities (BMDs) among male patients with latent autoimmune diabetes in adults (LADA), classical type 1 diabetes (T1DM), and type 2 diabetes (T2DM), and to examine the risk factors for developing low BMD in these patients. PATIENTS AND METHODS Between January 2017 and October 2020, a total of 57, 67, and 223 male patients with LADA, classical T1DM, and T2DM, respectively, were recruited from the endocrinology department of Shanghai Tenth People's Hospital. Hormonal markers of bone metabolism, lipid profiles, uric acid, glycosylated hemoglobin A1c (HbA1c), and beta-cell function were measured using blood samples. BMD was measured at the lumbar spine, femoral neck, and right hip by dual-energy X-ray absorptiometry. RESULTS The mean BMD values from all three skeletal sites in male patients with LADA were comparable to those with classical T1DM but were much lower than those with T2DM. After adjusting for confounding factors, multiple linear regression analysis demonstrated that in all male patients with diabetes, body mass index (BMI), uric acid, and fasting C-peptide showed significant positive associations with BMD at all three skeletal sites; however, osteocalcin showed a negative association at all three sites. CONCLUSIONS Compared with male patients with T2DM, lower BMDs were observed in patients with LADA and T1DM. Low BMI, uric acid, C-peptide levels, and high osteocalcin levels are risk factors for developing low BMD in male patients with diabetes.
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Affiliation(s)
- M Zhang
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China.
| | - C Sheng
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China
| | - H You
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China
| | - M Cai
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China
| | - J Gao
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China
| | - X Cheng
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China
| | - H Sheng
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China
| | - S Qu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China
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Moosaie F, Meftah N, Deravi N, Abouhamzeh K, Firouzabadi FD, Khaloo P, Mansournia MA, Fatemi Abhari SM, Nakhjavani M, Esteghamati A. Prevalence of diabetes-associated autoantibodies among patients presenting with type 2 diabetes and related metabolic differences. Prim Care Diabetes 2021; 15:169-174. [PMID: 32798203 DOI: 10.1016/j.pcd.2020.07.008] [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: 05/25/2020] [Revised: 07/03/2020] [Accepted: 07/18/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND To explores the prevalence of autoantibodies (zinc transporter 8 autoantibodies (ZnT8A), antibodies to insulin (IAAs), glutamic acid decarboxylase autoantibody (GAD65)), the relation of the type of positive autoantibody and the number of positive autoantibodies with the glycemic and lipid profile of the patients with LADA (Latent Autoimmune Diabetes in Adults) and compares it to the metabolic profile of patients presenting with type 2 diabetes (T2DM). METHODS 263 patients with T2DM were recruited for this cross-sectional study in Tehran, Iran. Data from patients included complete medical history, GAD65, ZnT8A, IAA and routine metabolic laboratory workup. Assay for autoantibodies were conducted using ELISA kits. The association between autoantibodies and glycemic and lipid profile of patients with diabetes was assessed using univariate and multivariate regression analysis. RESULTS Our study revealed that among 263 patients with T2DM, 29 (11%) cases were positive for IAAs, 9 (3.4%) for ZnT8A, and 12 (4.6%) for GAD65. Six (2.3%) of the patients had triple positive antibodies. Patients with positive results were younger, had lower body mass index (BMI), c-peptide, triglyceride, low-density lipoprotein (LDL), and higher high-density lipoprotein (HDL), HbA1c and fasting blood glucose (FBG) levels. Triple antibody positivity was significantly associated with lower levels of C-Peptide, Triglycerides, FBG, and HbA1c compared to triple negative antibodies. CONCLUSION Patients with LADA positive for either of the autoantibodies (GAD65, ZnT8 and IAA) presented with worse glycemic control. Measurement of these autoantibodies can assist in discrimination of these patients and help with earlier control of glycemic profile.
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Affiliation(s)
- Fatemeh Moosaie
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Neda Meftah
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Niloofar Deravi
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Student's Research committee, School of medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kosar Abouhamzeh
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Dehghani Firouzabadi
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Pegah Khaloo
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Manouchehr Nakhjavani
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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De Luccia TPB, Pendeloski KPT, Ono E, Mattar R, Pares DBS, Yazaki Sun S, Daher S. Unveiling the pathophysiology of gestational diabetes: Studies on local and peripheral immune cells. Scand J Immunol 2020; 91:e12860. [PMID: 31849072 DOI: 10.1111/sji.12860] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 10/10/2019] [Accepted: 12/11/2019] [Indexed: 12/14/2022]
Abstract
Gestational diabetes mellitus (GDM) has been associated with impaired maternal immune response. Our aim was to review the available literature linking immune cells profile to GDM, in order to comprehend the role that different subpopulations play in the development of this pathology. We searched in PubMed for studies published in the last decade on circulating levels and placenta expression of immune cells on GDM. We identified 18 studies with several differences regarding the study design, clinical characteristics, number of participants, cell subpopulation and type of sample. Most studies assessed only one subpopulation either in peripheral blood or placenta and did not analyse functional properties of the cells. The most frequently evaluated immune cells were T lymphocytes, especially regulatory T (Tregs), and natural killer (NK) cells in the peripheral blood, and placental macrophages. No studies analysing B cells were identified, and only one study each evaluating γδT cells, dendritic cell (DC) and monocytes was found. Although there are controversies, at least one study reported positive association between GDM and CD4+ (activated), Tregs, Th17 and γδT cells; neutrophil/lymphocyte; NK cell (cytotoxic); macrophages; and monocytes. The number of studies is still small, so caution should be exercised in interpreting the data, and further research is required to validate these findings and establish the role of adaptive and innate immune cells in GDM pathophysiology.
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Affiliation(s)
- Thiago P B De Luccia
- Department of Obstetrics, Paulista School of Medicine, Federal University of São Paulo (EPM-UNIFESP), São Paulo, SP, Brazil
| | - Karen P T Pendeloski
- Department of Obstetrics, Paulista School of Medicine, Federal University of São Paulo (EPM-UNIFESP), São Paulo, SP, Brazil
| | - Erika Ono
- Department of Obstetrics, Paulista School of Medicine, Federal University of São Paulo (EPM-UNIFESP), São Paulo, SP, Brazil
| | - Rosiane Mattar
- Department of Obstetrics, Paulista School of Medicine, Federal University of São Paulo (EPM-UNIFESP), São Paulo, SP, Brazil
| | - David B S Pares
- Department of Obstetrics, Paulista School of Medicine, Federal University of São Paulo (EPM-UNIFESP), São Paulo, SP, Brazil
| | - Sue Yazaki Sun
- Department of Obstetrics, Paulista School of Medicine, Federal University of São Paulo (EPM-UNIFESP), São Paulo, SP, Brazil
| | - Silvia Daher
- Department of Obstetrics, Paulista School of Medicine, Federal University of São Paulo (EPM-UNIFESP), São Paulo, SP, Brazil
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8
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de Candia P, Prattichizzo F, Garavelli S, De Rosa V, Galgani M, Di Rella F, Spagnuolo MI, Colamatteo A, Fusco C, Micillo T, Bruzzaniti S, Ceriello A, Puca AA, Matarese G. Type 2 Diabetes: How Much of an Autoimmune Disease? Front Endocrinol (Lausanne) 2019; 10:451. [PMID: 31333589 PMCID: PMC6620611 DOI: 10.3389/fendo.2019.00451] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 06/21/2019] [Indexed: 01/12/2023] Open
Abstract
Type 2 diabetes (T2D) is characterized by a progressive status of chronic, low-grade inflammation (LGI) that accompanies the whole trajectory of the disease, from its inception to complication development. Accumulating evidence is disclosing a long list of possible "triggers" of inflammatory responses, many of which are promoted by unhealthy lifestyle choices and advanced age. Diabetic patients show an altered number and function of immune cells, of both innate and acquired immunity. Reactive autoantibodies against islet antigens can be detected in a subpopulation of patients, while emerging data are also suggesting an altered function of specific T lymphocyte populations, including T regulatory (Treg) cells. These observations led to the hypothesis that part of the inflammatory response mounting in T2D is attributable to an autoimmune phenomenon. Here, we review recent data supporting this framework, with a specific focus on both tissue resident and circulating Treg populations. We also propose that selective interception (or expansion) of T cell subsets could be an alternative avenue to dampen inappropriate inflammatory responses without compromising immune responses.
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Affiliation(s)
- Paola de Candia
- IRCCS MultiMedica, Milan, Italy
- *Correspondence: Paola de Candia
| | | | - Silvia Garavelli
- Laboratorio di Immunologia, Istituto di Endocrinologia e Oncologia Sperimentale, Consiglio Nazionale Delle Ricerche (IEOS-CNR), Naples, Italy
| | - Veronica De Rosa
- Laboratorio di Immunologia, Istituto di Endocrinologia e Oncologia Sperimentale, Consiglio Nazionale Delle Ricerche (IEOS-CNR), Naples, Italy
- Unità di NeuroImmunologia, Fondazione Santa Lucia, Rome, Italy
| | - Mario Galgani
- Laboratorio di Immunologia, Istituto di Endocrinologia e Oncologia Sperimentale, Consiglio Nazionale Delle Ricerche (IEOS-CNR), Naples, Italy
| | - Francesca Di Rella
- Dipartimento di Senologia, Oncologia Medica, IRCCS-Fondazione G. Pascale, Naples, Italy
| | - Maria Immacolata Spagnuolo
- Dipartimento di Scienze Mediche Traslazionali, Università Degli Studi di Napoli “Federico II”, Naples, Italy
| | - Alessandra Colamatteo
- Treg Cell Laboratory, Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università Degli Studi di Napoli “Federico II”, Naples, Italy
| | - Clorinda Fusco
- Treg Cell Laboratory, Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università Degli Studi di Napoli “Federico II”, Naples, Italy
| | - Teresa Micillo
- Dipartimento di Biologia, Università Degli Studi di Napoli “Federico II”, Naples, Italy
| | - Sara Bruzzaniti
- Laboratorio di Immunologia, Istituto di Endocrinologia e Oncologia Sperimentale, Consiglio Nazionale Delle Ricerche (IEOS-CNR), Naples, Italy
| | - Antonio Ceriello
- IRCCS MultiMedica, Milan, Italy
- Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Annibale A. Puca
- IRCCS MultiMedica, Milan, Italy
- Dipartimento di Medicina e Chirurgia, Università di Salerno, Baronissi, Italy
| | - Giuseppe Matarese
- Laboratorio di Immunologia, Istituto di Endocrinologia e Oncologia Sperimentale, Consiglio Nazionale Delle Ricerche (IEOS-CNR), Naples, Italy
- Treg Cell Laboratory, Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università Degli Studi di Napoli “Federico II”, Naples, Italy
- Giuseppe Matarese
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