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Armstrong ND, Patki A, Srinivasasainagendra V, Ge T, Lange LA, Kottyan L, Namjou B, Shah AS, Rasmussen-Torvik LJ, Jarvik GP, Meigs JB, Karlson EW, Limdi NA, Irvin MR, Tiwari HK. Variant level heritability estimates of type 2 diabetes in African Americans. Sci Rep 2024; 14:14009. [PMID: 38890458 PMCID: PMC11189523 DOI: 10.1038/s41598-024-64711-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 06/12/2024] [Indexed: 06/20/2024] Open
Abstract
Type 2 diabetes (T2D) is caused by both genetic and environmental factors and is associated with an increased risk of cardiorenal complications and mortality. Though disproportionately affected by the condition, African Americans (AA) are largely underrepresented in genetic studies of T2D, and few estimates of heritability have been calculated in this race group. Using genome-wide association study (GWAS) data paired with phenotypic data from ~ 19,300 AA participants of the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, Genetics of Hypertension Associated Treatments (GenHAT) study, and the Electronic Medical Records and Genomics (eMERGE) network, we estimated narrow-sense heritability using two methods: Linkage-Disequilibrium Adjusted Kinships (LDAK) and Genome-Wide Complex Trait Analysis (GCTA). Study-level heritability estimates adjusting for age, sex, and genetic ancestry ranged from 18% to 34% across both methods. Overall, the current study narrows the expected range for T2D heritability in this race group compared to prior estimates, while providing new insight into the genetic basis of T2D in AAs for ongoing genetic discovery efforts.
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Affiliation(s)
- Nicole D Armstrong
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Amit Patki
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Tian Ge
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Leah Kottyan
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Bahram Namjou
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Amy S Shah
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center &, The University of Cincinnati, Cincinnati, OH, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Gail P Jarvik
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - James B Meigs
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Elizabeth W Karlson
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Mass General Brigham Personalized Medicine, Boston, MA, USA
| | - Nita A Limdi
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
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Seida I, Al Shawaf M, Mahroum N. Fecal microbiota transplantation in autoimmune diseases - An extensive paper on a pathogenetic therapy. Autoimmun Rev 2024:103541. [PMID: 38593970 DOI: 10.1016/j.autrev.2024.103541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/31/2024] [Accepted: 04/04/2024] [Indexed: 04/11/2024]
Abstract
The role of infections in the pathogenesis of autoimmune diseases has long been recognized and reported. In addition to infectious agents, the internal composition of the "friendly" living bacteria, (microbiome) and its correlation to immune balance and dysregulation have drawn the attention of researchers for decades. Nevertheless, only recently, scientific papers regarding the potential role of transferring microbiome from healthy donor subjects to patients with autoimmune diseases has been proposed. Fecal microbiota transplantation or FMT, carries the logic of transferring microorganisms responsible for immune balance from healthy donors to individuals with immune dysregulation or more accurately for our paper, autoimmune diseases. Viewing the microbiome as a pathogenetic player allows us to consider FMT as a pathogenetic-based treatment. Promising results alongside improved outcomes have been demonstrated in patients with different autoimmune diseases following FMT. Therefore, in our current extensive review, we aimed to highlight the implication of FMT in various autoimmune diseases, such as inflammatory bowel disease, autoimmune thyroid and liver diseases, systemic lupus erythematosus, and type 1 diabetes mellitus, among others. Presenting all the aspects of FMT in more than 12 autoimmune diseases in one paper, to the best of our knowledge, is the first time presented in medical literature. Viewing FMT as such could contribute to better understanding and newer application of the model in the therapy of autoimmune diseases, indeed.
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Affiliation(s)
- Isa Seida
- International School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Maisam Al Shawaf
- International School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Naim Mahroum
- International School of Medicine, Istanbul Medipol University, Istanbul, Turkey.
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Minniakhmetov I, Yalaev B, Khusainova R, Bondarenko E, Melnichenko G, Dedov I, Mokrysheva N. Genetic and Epigenetic Aspects of Type 1 Diabetes Mellitus: Modern View on the Problem. Biomedicines 2024; 12:399. [PMID: 38398001 PMCID: PMC10886892 DOI: 10.3390/biomedicines12020399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
Omics technologies accumulated an enormous amount of data that advanced knowledge about the molecular pathogenesis of type 1 diabetes mellitus and identified a number of fundamental problems focused on the transition to personalized diabetology in the future. Among them, the most significant are the following: (1) clinical and genetic heterogeneity of type 1 diabetes mellitus; (2) the prognostic significance of DNA markers beyond the HLA genes; (3) assessment of the contribution of a large number of DNA markers to the polygenic risk of disease progress; (4) the existence of ethnic population differences in the distribution of frequencies of risk alleles and genotypes; (5) the infancy of epigenetic research into type 1 diabetes mellitus. Disclosure of these issues is one of the priorities of fundamental diabetology and practical healthcare. The purpose of this review is the systemization of the results of modern molecular genetic, transcriptomic, and epigenetic investigations of type 1 diabetes mellitus in general, as well as its individual forms. The paper summarizes data on the role of risk HLA haplotypes and a number of other candidate genes and loci, identified through genome-wide association studies, in the development of this disease and in alterations in T cell signaling. In addition, this review assesses the contribution of differential DNA methylation and the role of microRNAs in the formation of the molecular pathogenesis of type 1 diabetes mellitus, as well as discusses the most currently central trends in the context of early diagnosis of type 1 diabetes mellitus.
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Affiliation(s)
- Ildar Minniakhmetov
- Endocrinology Research Centre, Dmitry Ulyanov Street, 11, 117292 Moscow, Russia; (R.K.); (E.B.); (G.M.); (I.D.); (N.M.)
| | - Bulat Yalaev
- Endocrinology Research Centre, Dmitry Ulyanov Street, 11, 117292 Moscow, Russia; (R.K.); (E.B.); (G.M.); (I.D.); (N.M.)
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Glotov OS, Chernov AN, Glotov AS. Human Exome Sequencing and Prospects for Predictive Medicine: Analysis of International Data and Own Experience. J Pers Med 2023; 13:1236. [PMID: 37623486 PMCID: PMC10455459 DOI: 10.3390/jpm13081236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/26/2023] Open
Abstract
Today, whole-exome sequencing (WES) is used to conduct the massive screening of structural and regulatory genes in order to identify the allele frequencies of disease-associated polymorphisms in various populations and thus detect pathogenic genetic changes (mutations or polymorphisms) conducive to malfunctional protein sequences. With its extensive capabilities, exome sequencing today allows both the diagnosis of monogenic diseases (MDs) and the examination of seemingly healthy populations to reveal a wide range of potential risks prior to disease manifestation (in the future, exome sequencing may outpace costly and less informative genome sequencing to become the first-line examination technique). This review establishes the human genetic passport as a new WES-based clinical concept for the identification of new candidate genes, gene variants, and molecular mechanisms in the diagnosis, prediction, and treatment of monogenic, oligogenic, and multifactorial diseases. Various diseases are addressed to demonstrate the extensive potential of WES and consider its advantages as well as disadvantages. Thus, WES can become a general test with a broad spectrum pf applications, including opportunistic screening.
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Affiliation(s)
- Oleg S. Glotov
- Department of Genomic Medicine, D. O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, 199034 St. Petersburg, Russia;
- Department of Experimental Medical Virology, Molecular Genetics and Biobanking of Pediatric Research and Clinical Center for Infectious Diseases, 197022 St. Petersburg, Russia
| | - Alexander N. Chernov
- Department of Genomic Medicine, D. O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, 199034 St. Petersburg, Russia;
- Department of General Pathology and Pathological Physiology, Institute of Experimental Medicine, 197376 St. Petersburg, Russia
| | - Andrey S. Glotov
- Department of Genomic Medicine, D. O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, 199034 St. Petersburg, Russia;
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Chen S, Xi M, Gao F, Li M, Dong T, Geng Z, Liu C, Huang F, Wang J, Li X, Wei P, Miao F. Evaluation of mulberry leaves’ hypoglycemic properties and hypoglycemic mechanisms. Front Pharmacol 2023; 14:1045309. [PMID: 37089923 PMCID: PMC10117911 DOI: 10.3389/fphar.2023.1045309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 03/31/2023] [Indexed: 04/08/2023] Open
Abstract
The effectiveness of herbal medicine in treating diabetes has grown in recent years, but the precise mechanism by which it does so is still unclear to both medical professionals and diabetics. In traditional Chinese medicine, mulberry leaf is used to treat inflammation, colds, and antiviral illnesses. Mulberry leaves are one of the herbs with many medicinal applications, and as mulberry leaf study grows, there is mounting evidence that these leaves also have potent anti-diabetic properties. The direct role of mulberry leaf as a natural remedy in the treatment of diabetes has been proven in several studies and clinical trials. However, because mulberry leaf is a more potent remedy for diabetes, a deeper understanding of how it works is required. The bioactive compounds flavonoids, alkaloids, polysaccharides, polyphenols, volatile oils, sterols, amino acids, and a variety of inorganic trace elements and vitamins, among others, have been found to be abundant in mulberry leaves. Among these compounds, flavonoids, alkaloids, polysaccharides, and polyphenols have a stronger link to diabetes. Of course, trace minerals and vitamins also contribute to blood sugar regulation. Inhibiting alpha glucosidase activity in the intestine, regulating lipid metabolism in the body, protecting pancreatic -cells, lowering insulin resistance, accelerating glucose uptake by target tissues, and improving oxidative stress levels in the body are some of the main therapeutic properties mentioned above. These mechanisms can effectively regulate blood glucose levels. The therapeutic effects of the bioactive compounds found in mulberry leaves on diabetes mellitus and their associated molecular mechanisms are the main topics of this paper’s overview of the state of the art in mulberry leaf research for the treatment of diabetes mellitus.
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Affiliation(s)
- Sikai Chen
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Miaomiao Xi
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
- Xi’an TANK Medicinal Biology Institute, Xi’an, China
| | - Feng Gao
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Min Li
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - TaiWei Dong
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Zhixin Geng
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Chunyu Liu
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Fengyu Huang
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Jing Wang
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Xingyu Li
- Shaanxi University of Chinese Medicine, Xianyang, China
| | - Peifeng Wei
- Shaanxi University of Chinese Medicine, Xianyang, China
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
- *Correspondence: Peifeng Wei, ; Feng Miao,
| | - Feng Miao
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China
- *Correspondence: Peifeng Wei, ; Feng Miao,
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Al-Balushi M, Al-Badi S, Al-Yaarubi S, Al-Riyami H, Al-Shidhani A, Al-Hinai S, Alshirawi A, Hasson S, Said E, Al-Jabri A, Al Ansari A. The Association of Human Leukocyte Antigens Complex with Type 1 Diabetes in the Omani Population. Sultan Qaboos Univ Med J 2023; 23:68-75. [PMID: 36865417 PMCID: PMC9974035 DOI: 10.18295/squmj.2.2022.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/16/2021] [Accepted: 10/13/2021] [Indexed: 11/16/2022] Open
Abstract
Objectives Identification of the high risk alleles, genotypes and haplotypes of the human leukocyte antigens (HLA) in different populations is beneficial for understanding their roles in type 1 diabetes (T1D) pathogenesis and intervention practices. This study aimed to identify T1D-associated HLA gene alleles in the Omani population. Methods The present case-control study included 73 diabetic seropositive children (mean age 9.08 ± 3.27 years) attending the paediatric clinic at Sultan Qaboos University Hospital in Muscat, Oman, and 110 healthy controls. HLA-A, -B, -C, -DRB1 and -DQB1 genes were genotyped using a sequence-specific primer polymerase chain reaction (SSP-PCR). Results Two HLA class I alleles (B*08, B*58) and three class II alleles (DQB1*02, DRB1*03 and DRB1*04) were associated with T1D susceptibility, while one class I (B*51) and three class II (DQB1*05, DQB1*06 and DRB1*16) alleles were associated with T1D protection. HLA-DRB1*03 and DQB1*02 alleles showed the strongest risk association among all alleles. Six DRB1 residues (E9, S11, S13, Y30, V70 and K71) were significantly associated with T1D susceptibility. Heterozygous genotypes, HLA-DRB1*03/*04 and DQB1*02/*03 were significantly associated with T1D susceptibility (P <0.0001, odds ratio [OR] = 63.21 and P = 0.02, OR = 3.63, respectively). Furthermore, a significant combined action of DRB1*03-DQB1*02 haplotype in T1D risk (P = 0.000176, OR = 15) and DRB1*16-DQB1*05 haplotype in protection (P = 0.0312, OR = 0.48) was detected. Conclusion Known HLA class II gene alleles are associated with T1D in Omani children.
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Affiliation(s)
- Mohammed Al-Balushi
- Department of Microbiology & Immunology, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Samiya Al-Badi
- Department of Biology, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Saif Al-Yaarubi
- Department of Child Health, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Hamad Al-Riyami
- Department of Genetics, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Azza Al-Shidhani
- Department of Child Health, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Shaima Al-Hinai
- Department of Child Health, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Ali Alshirawi
- Department of Medicine, College of Medicine, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Sidgi Hasson
- Department of Microbiology & Immunology, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Elias Said
- Department of Microbiology & Immunology, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Ali Al-Jabri
- Department of Microbiology & Immunology, College of Science, Sultan Qaboos University, Muscat, Oman
| | - Aliya Al Ansari
- Department of Biology, College of Science, Sultan Qaboos University, Muscat, Oman,Corresponding Author’s e-mail:
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Wu H, Shu M, Liu C, Zhao W, Li Q, Song Y, Zhang T, Chen X, Shi Y, Shi P, Fang L, Wang R, Xu C. Identification and characterization of novel carboxyl ester lipase gene variants in patients with different subtypes of diabetes. BMJ Open Diabetes Res Care 2023; 11:11/1/e003127. [PMID: 36634979 PMCID: PMC9843195 DOI: 10.1136/bmjdrc-2022-003127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 12/26/2022] [Indexed: 01/14/2023] Open
Abstract
INTRODUCTION Mutations of CEL gene were first reported to cause a new type of maturity-onset diabetes of the young (MODY) denoted as MODY8 and then were also found in patients with type 1 (T1D) and type 2 diabetes (T2D). However, its genotype-phenotype relationship has not been fully determined and how carboxyl ester lipase (CEL) variants result in diabetes remains unclear. The aim of our study was to identify pathogenic variants of CEL in patients with diabetes and confirm their pathogenicity. RESEARCH DESIGN AND METHODS All five patients enrolled in our study were admitted to Shandong Provincial Hospital and diagnosed with diabetes in the past year. Whole-exome sequencing was performed to identify pathogenic variants in three patients with MODY-like diabetes, one newborn baby with T1D and one patient with atypical T2D, as well as their immediate family members. Then the consequences of the identified variants were predicted by bioinformatic analysis. Furthermore, pathogenic effects of two novel CEL variants were evaluated in HEK293 cells transfected with wild-type and mutant plasmids. Finally, we summarized all CEL gene variants recorded in Human Gene Mutation Database and analyzed the mutation distribution of CEL. RESULTS Five novel heterozygous variants were identified in CEL gene and they were predicted to be pathogenic by bioinformatic analysis. Moreover, in vitro studies indicated that the expression of CELR540C was remarkably increased, while p.G729_T739del variant did not significantly affect the expression of CEL. Both novel variants obviously abrogated the secretion of CEL. Furthermore, we summarized all reported CEL variants and found that 74.3% of missense mutations were located in exons 1, 3, 4, 10 and 11 and most missense variants clustered near catalytic triad, Arg-83 and Arg-443. CONCLUSION Our study identified five novel CEL variants in patients with different subtypes of diabetes, expanding the gene mutation spectrum of CEL and confirmed the pathogenicity of several novel variants.
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Affiliation(s)
- Huixiao Wu
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Meng Shu
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Changmei Liu
- Department of Endocrinology, Affiliated Hospital of Binzhou Medical College, Binzhou, Shandong, China
| | - Wanyi Zhao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Qiu Li
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Yuling Song
- Department of Endocrinology, Affiliated Hospital of Binzhou Medical College, Binzhou, Shandong, China
| | - Ting Zhang
- Department of Endocrinology, Affiliated Hospital of Binzhou Medical College, Binzhou, Shandong, China
| | - Xinyu Chen
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Yingzhou Shi
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Ping Shi
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Li Fang
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Runbo Wang
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
| | - Chao Xu
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute of Endocrinology, Shandong Academy of Clinical Medicine, Jinan, Shandong, People's Republic of China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Jinan, Shandong, People's Republic of China
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Smyth LJ, Dahlström EH, Syreeni A, Kerr K, Kilner J, Doyle R, Brennan E, Nair V, Fermin D, Nelson RG, Looker HC, Wooster C, Andrews D, Anderson K, McKay GJ, Cole JB, Salem RM, Conlon PJ, Kretzler M, Hirschhorn JN, Sadlier D, Godson C, Florez JC, Forsblom C, Maxwell AP, Groop PH, Sandholm N, McKnight AJ. Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease. Nat Commun 2022; 13:7891. [PMID: 36550108 PMCID: PMC9780337 DOI: 10.1038/s41467-022-34963-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 11/14/2022] [Indexed: 12/24/2022] Open
Abstract
Type 1 diabetes affects over nine million individuals globally, with approximately 40% developing diabetic kidney disease. Emerging evidence suggests that epigenetic alterations, such as DNA methylation, are involved in diabetic kidney disease. Here we assess differences in blood-derived genome-wide DNA methylation associated with diabetic kidney disease in 1304 carefully characterised individuals with type 1 diabetes and known renal status from two cohorts in the United Kingdom-Republic of Ireland and Finland. In the meta-analysis, we identify 32 differentially methylated CpGs in diabetic kidney disease in type 1 diabetes, 18 of which are located within genes differentially expressed in kidneys or correlated with pathological traits in diabetic kidney disease. We show that methylation at 21 of the 32 CpGs predict the development of kidney failure, extending the knowledge and potentially identifying individuals at greater risk for diabetic kidney disease in type 1 diabetes.
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Affiliation(s)
- Laura J Smyth
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Emma H Dahlström
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
| | - Anna Syreeni
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
| | - Katie Kerr
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Jill Kilner
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Ross Doyle
- Diabetes Complications Research Centre, Conway Institute, School of Medicine, University College Dublin, Dublin, Ireland
| | - Eoin Brennan
- Diabetes Complications Research Centre, Conway Institute, School of Medicine, University College Dublin, Dublin, Ireland
| | - Viji Nair
- Department of Medicine-Nephrology, University of Michigan School of Medicine, Ann Arbor, MI, 48109, USA
| | - Damian Fermin
- Department of Pediatrics-Nephrology, University of Michigan School of Medicine, Ann Arbor, MI, 48109, USA
| | - Robert G Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Helen C Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Christopher Wooster
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Darrell Andrews
- Diabetes Complications Research Centre, Conway Institute, School of Medicine, University College Dublin, Dublin, Ireland
| | - Kerry Anderson
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Gareth J McKay
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Joanne B Cole
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Rany M Salem
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Peter J Conlon
- Department of Nephrology and Transplantation, Beaumont Hospital and Department of Medicine Royal College of Surgeons in Ireland, Dublin 9, Ireland
| | - Matthias Kretzler
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Joel N Hirschhorn
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics and Genetics, Harvard Medical School, Boston, MA, USA
| | | | - Catherine Godson
- Diabetes Complications Research Centre, Conway Institute, School of Medicine, University College Dublin, Dublin, Ireland
| | - Jose C Florez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Carol Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
| | - Alexander P Maxwell
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
- Regional Nephrology Unit, Belfast City Hospital, Belfast, Northern Ireland, UK
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland.
| | - Amy Jayne McKnight
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.
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9
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Zhang S, Deng F, Chen J, Chen F, Wu Z, Li L, Hou K. Fecal microbiota transplantation treatment of autoimmune-mediated type 1 diabetes: A systematic review. Front Cell Infect Microbiol 2022; 12:1075201. [PMID: 36530444 PMCID: PMC9751335 DOI: 10.3389/fcimb.2022.1075201] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 11/15/2022] [Indexed: 12/05/2022] Open
Abstract
There is a strong link between fecal microbiota and the development of type 1 diabetes. As an emerging therapeutic modality, fecal microbiota transplantation has been shown to be safe and effective in the treatment of many intestinal and extraintestinal diseases. Various studies have found that fecal microbiota transplantation can treat diseases by correcting patients' immune disorders. Besides, many studies have found that fecal microbiota transplantation can improve glycemic control and insulin resistance in diabetic patients. Therefore, this paper reviews the mechanism of action of fecal microbiota transplantation on autoimmune-mediated T1DM and the current research progress, feasibility, and issues that need to be addressed in the future development of fecal microbiota transplantation in the treatment of autoimmune-mediated T1DM.
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Affiliation(s)
- Shuo Zhang
- Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Feiying Deng
- Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jingxian Chen
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, Shantou, China
- School of Public Health, Shantou University, Shantou, China
| | - Fengwu Chen
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, Shantou, China
| | - Zezhen Wu
- Shantou University Medical College, Shantou, China
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Liping Li
- School of Public Health, Shantou University, Shantou, China
| | - Kaijian Hou
- Department of Endocrine and Metabolic Diseases, Longhu People’s Hospital, Shantou, China
- School of Public Health, Shantou University, Shantou, China
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10
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Davidopoulou S, Bitzeni-Nigdeli A, Archaki C, Arhakis A. Oral Health Implications and Dental Management of Diabetic Children. Int J Clin Pediatr Dent 2022; 15:631-635. [PMID: 36865714 PMCID: PMC9973101 DOI: 10.5005/jp-journals-10005-2426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Aim To review the effect of diabetes mellitus (DM) on the oral health status of children. Background Diabetes mellitus (DM) is one of the most severe chronic diseases in children and adolescents. It appears as type 1 DM and type 2 DM. Children are mainly diagnosed with type 1 DM. Genetic, as well as environmental factors, contribute to disease risk, indicating a multifactorial etiology. Early symptoms may vary from polyuria to anxiety or depression disorders. Review results A variety of signs and symptoms have been reported regarding the oral health of DM children. Both dental and periodontal health is compromised. Qualitative and quantitative changes in saliva have also been reported. Moreover, there is a direct effect of type 1 DM on oral microflora and increased sensitivity to infections. A variety of protocols have been developed regarding the dental treatment of diabetic children. Conclusion Children with diabetes, due to the increased risk of periodontal disease and dental caries, are recommended to follow an intensive prevention program and a diet with strict instructions. Clinical significance The dental care provided to children with DM should be personalized, and all patients should follow a strict program of reexaminations. Moreover, the dentist may evaluate oral signs and symptoms of inadequately controlled diabetes and, in coordination with the patient's physician, can play a crucial role in maintaining oral and general health. How to cite this article Davidopoulou S, Bitzeni-Nigdeli A, Archaki C, et al. Oral Health Implications and Dental Management of Diabetic Children. Int J Clin Pediatr Dent 2022;15(5):631-635.
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Affiliation(s)
- Sotiria Davidopoulou
- Department of Operative Dentistry, School of Dentistry, Aristotle University of Thessaloniki, Thessaloniki, Central Macedonia, Greece
| | - Anna Bitzeni-Nigdeli
- School of Dentistry, Aristotle University of Thessaloniki, Thessaloniki, Central Macedonia, Greece
| | - Chrysoula Archaki
- School of Medicine, Democritus University of Thrace (D.U.Th.), Alexandroupoli, East Macedonia and Thrace, Greece
| | - Aristidis Arhakis
- Department of Pediatric Dentistry, School of Dentistry, Aristotle University of Thessaloniki, Thessaloniki, Central Macedonia, Greece
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11
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Extracellular Vesicles in Type 1 Diabetes: A Versatile Tool. Bioengineering (Basel) 2022; 9:bioengineering9030105. [PMID: 35324794 PMCID: PMC8945706 DOI: 10.3390/bioengineering9030105] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 12/15/2022] Open
Abstract
Type 1 diabetes is a chronic autoimmune disease affecting nearly 35 million people. This disease develops as T-cells continually attack the β-cells of the islets of Langerhans in the pancreas, which leads to β-cell death, and steadily decreasing secretion of insulin. Lowered levels of insulin minimize the uptake of glucose into cells, thus putting the body in a hyperglycemic state. Despite significant progress in the understanding of the pathophysiology of this disease, there is a need for novel developments in the diagnostics and management of type 1 diabetes. Extracellular vesicles (EVs) are lipid-bound nanoparticles that contain diverse content from their cell of origin and can be used as a biomarker for both the onset of diabetes and transplantation rejection. Furthermore, vesicles can be loaded with therapeutic cargo and delivered in conjunction with a transplant to increase cell survival and long-term outcomes. Crucially, several studies have linked EVs and their cargos to the progression of type 1 diabetes. As a result, gaining a better understanding of EVs would help researchers better comprehend the utility of EVs in regulating and understanding type 1 diabetes. EVs are a composition of biologically active components such as nucleic acids, proteins, metabolites, and lipids that can be transported to particular cells/tissues through the blood system. Through their varied content, EVs can serve as a flexible aid in the diagnosis and management of type 1 diabetes. In this review, we provide an overview of existing knowledge about EVs. We also cover the role of EVs in the pathogenesis, detection, and treatment of type 1 diabetes and the function of EVs in pancreas and islet β-cell transplantation.
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12
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Taneera J, Ali A, Hamad M. The Role of Estrogen Signaling in Cellular Iron Metabolism in Pancreatic β Cells. Pancreas 2022; 51:121-127. [PMID: 35404886 DOI: 10.1097/mpa.0000000000001978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
ABSTRACT Several lines of evidence suggest that estrogen (17-β estradiol; E2) protects against diabetes mellitus and plays important roles in pancreatic β-cell survival and function. Mounting clinical and experimental evidence also suggest that E2 modulates cellular iron metabolism by regulating the expression of several iron regulatory genes, including hepcidin (HAMP), hypoxia-inducible factor 1-α, ferroportin (SLC40A1), and lipocalin (LCN2). However, whether E2 regulates cellular iron metabolism in pancreatic β cells and whether the antidiabetic effects of E2 can be, at least partially, attributed to its role in iron metabolism is not known. In this context, pancreatic β cells express considerable levels of conventional E2 receptors (ERs; mainly ER-α) and nonconventional G protein-coupled estrogen receptors and hence responsive to E2 signals. Moreover, pancreatic islet cells require significant amounts of iron for proper functioning, replication and survival and, hence, well equipped to manage cellular iron metabolism (acquisition, utilization, storage, and release). In this review, we examine the link between E2 and cellular iron metabolism in pancreatic β cells and discuss the bearing of such a link on β-cell survival and function.
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Affiliation(s)
| | - Amjad Ali
- From the Research Institute for Medical and Health Sciences
| | - Mawieh Hamad
- Department of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
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13
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Rodríguez de Vera-Gómez P, Piñar-Gutiérrez A, Guerrero-Vázquez R, Bellido V, Morales-Portillo C, Sancho-Márquez MP, Espejo-García P, Gros-Herguido N, López-Gallardo G, Martínez-Brocca MA, Soto-Moreno A. Flash Glucose Monitoring and Diabetes Mellitus Induced by Immune Checkpoint Inhibitors: An Approach to Clinical Practice. J Diabetes Res 2022; 2022:4508633. [PMID: 36387939 PMCID: PMC9652069 DOI: 10.1155/2022/4508633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/01/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES The aim of this study is to investigate in depth diabetes mellitus associated with immune checkpoint inhibitors (DM-ICIs) by analysing a case series. We also evaluated the clinical impact of flash glucose monitoring (FGM) systems in the management of this entity. METHODS We conducted an observational cohort study of DM-ICIs diagnosed in two hospitals in Seville (Spain). Patients with a new diagnosis of diabetes mellitus (DM) or with sudden worsening of preexisting DM after starting treatment with ICIs, with a random 5 hour-postprandial C-peptide value of <0.6 nmol/L and without possibility of subsequent withdrawal of insulin treatment, were included. RESULTS A total of 7 cases were identified, mostly males (n = 6; 85.7%), with a mean age of 64.9 years. The mean glycated hemoglobin (HbA1c) upon diagnosis was 8.1%, with diabetic ketoacidosis (DKA) observed in 6 cases (85.7%). Subcutaneous flash glucose monitoring (FGM) systems were used in six cases, with a mean follow-up period of 42.7 weeks. During the first 90 days of use, mean average glucose was 167.5 mg/dL, with a coefficient of variation (CV) of 34.6%. The mean time in the range 70-180 mg/dL (TIR) was 59.7%, with a mean time above range (TAR) 181-250 mg/dL of 27.8% and a mean TAR > 250 mg/dL of 10.2%. The mean time below range (TBR) 54-69 mg/dL was 2%, while the mean TBR < 54 mg/dL was 0.3%. The mean glucose management indicator (GMI) was 7.3%. No significant differences were observed in FGM values for the following 90 days of follow-up. A progressive improvement in all parameters of glycaemic control was observed between the first month of FGM use and the sixth month of FGM use. Of note, there was a decrease in mean CV (40.6% to 34.1%, p = 0.25), mean TAR 181-250 (30.3% to 26%, p = 0.49), mean TAR > 250 mg/dL (16.3% to 7.7%, p = 0.09), mean TBR 54-69 mg/dL (5.2% to 2%, p = 0.16), and mean TBR < 54 mg/dL (1.8% to 0.2%, p = 0.31), along with an increase in mean values of TIR 70-180 mg/dL (46.5% to 60.5%, p = 0.09). The lack of statistical significance in the differences observed in the mean FGM values over the follow-up period may be related to the small sample size. CONCLUSION DM-ICI is recognised by a state of sudden-onset insulinopenia, often associated with DKA. The use of FGM systems may be a valid option for the effective management of DM-ICIs and for the prevention of severe hyperglycaemic and hypoglycaemic episodes in this condition.
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Affiliation(s)
| | - Ana Piñar-Gutiérrez
- Endocrinology and Nutrition Department, Hospital Universitario Virgen del Rocío, Seville, Spain
| | - Raquel Guerrero-Vázquez
- Endocrinology and Nutrition Department, Hospital Universitario Virgen Macarena, Seville, Spain
| | - Virginia Bellido
- Endocrinology and Nutrition Department, Hospital Universitario Virgen del Rocío, Seville, Spain
| | | | | | | | - Noelia Gros-Herguido
- Endocrinology and Nutrition Department, Hospital Universitario Virgen del Rocío, Seville, Spain
| | - Gema López-Gallardo
- Endocrinology and Nutrition Department, Hospital Universitario Virgen del Rocío, Seville, Spain
| | | | - Alfonso Soto-Moreno
- Endocrinology and Nutrition Department, Hospital Universitario Virgen del Rocío, Seville, Spain
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14
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Jayaraman S, Roy A, Vengadassalapathy S, Sekar R, Veeraraghavan VP, Rajagopal P, Rengasamy G, Mukherjee R, Sekar D, Manjunathan R. An Overview on the Therapeutic Function of Foods Enriched with Plant Sterols in Diabetes Management. Antioxidants (Basel) 2021; 10:antiox10121903. [PMID: 34943006 PMCID: PMC8750040 DOI: 10.3390/antiox10121903] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 12/25/2022] Open
Abstract
Diabetes is one of the most significant health issues across the world. People identified with diabetes are more vulnerable to various infections and are at a greater risk of developing cardiovascular diseases. The plant-based food we consume often contains many sterol-based bioactive compounds. It is well documented that these compounds could effectively manage the processes of insulin metabolism and cholesterol regulation. Insulin resistance followed by hyperglycemia often results in oxidative stress level enhancement and increased reactive oxygen species production. At the molecular level, these changes induce apoptosis in pancreatic cells and hence lead to insulin insufficiency. Studies have proved that plant sterols can lower inflammatory and oxidative stress damage connected with DNA repair mechanisms. The effective forms of phyto compounds are polyphenols, terpenoids, and thiols abundant in vegetables, fruits, nuts, and seeds. The available conventional drug-based therapies for the prevention and management of diabetes are time-consuming, costly, and with life-threatening side effects. Thereby, the therapeutic management of diabetes with plant sterols available in our daily diet is highly welcome as there are no side effects. This review intends to offer an overview of the present scenario of the anti-diabetic compounds from food ingredients towards the therapeutic beneficial against diabetes.
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Affiliation(s)
- Selvaraj Jayaraman
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Chennai 600077, India
| | - Anitha Roy
- Department of Pharmacology, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Chennai 600077, India
| | - Srinivasan Vengadassalapathy
- Department of Pharmacology, Saveetha Medical College and Hospital, Saveetha Institute of Medical & Technical Sciences, Chennai 602105, India
| | - Ramya Sekar
- Department of Oral Pathology, Meenakshi Ammal Dental College and Hospitals, Chennai 600095, India
| | - Vishnu Priya Veeraraghavan
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Chennai 600077, India
| | - Ponnulakshmi Rajagopal
- Department of Central Research Laboratory, Meenakshi Ammal Dental College and Hospitals, Chennai 600095, India
| | - Gayathri Rengasamy
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Chennai 600077, India
| | - Raktim Mukherjee
- Shree PM Patel Institute of PG Studies and Research in Science, Sardar Patel University, Anand 388001, India
| | - Durairaj Sekar
- Centre for Cellular and Molecular Research, Saveetha Dental College and Hospitals, Saveetha Institute of Medical & Technical Sciences (SIMATS), Saveetha University, Chennai 600077, India
| | - Reji Manjunathan
- Multi-Disciplinary Research Unit, Chengalpattu Government Medical College, Chengalpattu 60300, India
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15
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Shahwan M, Hassan N, Shaheen RA, Gaili A, Jairoun AA, Shahwan M, Najjar O, Jamshed S. Diabetes Mellitus and Renal Function: Current Medical Research and Opinion. Curr Diabetes Rev 2021; 17:e011121190176. [PMID: 33430750 DOI: 10.2174/1573399817999210111205532] [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: 07/25/2020] [Revised: 11/04/2020] [Accepted: 11/05/2020] [Indexed: 11/22/2022]
Abstract
Diabetes mellitus (DM), which is defined as high blood glucose level, is a major public health issue worldwide. An enormous amount of data has been gathered regarding DM as populations have been living with it for more than a decade; however, continually updating our knowledge of DM remains important. Comorbidities are among the major challenges associated with DM. Poorly controlled DM, especially type 2 DM (T2DM), is considered a risk factor for many diseases, including but not limited to chronic kidney disease (CKD). Complications might appear over time as the aging process changes body functions; moreover, a significant number of antidiabetic medications are eventually cleared by the kidneys, thereby increasing the burden on kidney function and placing diabetic patients at risk. The significantly high number of patients with uncontrolled diabetes resulting from kidney disease shows the impact of this condition on the quality of life of patients. This review presents an overview of the pathophysiology, etiology, and prevalence of CKD and abnormal renal parameters correlated with poorly controlled T2DM, with an emphasis on clinical studies involving the association between vitamin D insufficiency/deficiency and CKD among patients with T2DM.
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Affiliation(s)
- Moyad Shahwan
- Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, United Arab Emirates
| | - Nageeb Hassan
- Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, United Arab Emirates
| | - Rima Ahd Shaheen
- Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, United Arab Emirates
| | - Ahmed Gaili
- Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, United Arab Emirates
| | | | - Monzer Shahwan
- Diabetes Clinic, Al-Swity Center for Dermatology and Chronic Diseases, Palestinian Territory, Occupied
| | - Osama Najjar
- General Directorate of Allied Health Professions, Ministry of Health, Palestinian Territory, Occupied
| | - Shazia Jamshed
- Department of Clinical Pharmacy and Practice, Faculty of Pharmacy, Universiti Sultan Zainal Abidin (UniSZA) Besut Campus, Kuala terraenganu, Malaysia
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16
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AlMutair A, AlSabty N, AlNuaim H, Al Hamdan R, Moukaddem A. Prevalence and special clinical and biochemical characteristics of familial type 1 (insulin dependent) diabetes mellitus in pediatric patients in a tertiary care setting. Int J Pediatr Adolesc Med 2020; 8:107-111. [PMID: 34084882 PMCID: PMC8144856 DOI: 10.1016/j.ijpam.2020.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 10/27/2020] [Accepted: 11/18/2020] [Indexed: 11/25/2022]
Abstract
Background and Objectives The hereditable nature of type 1 diabetes mellitus (T1DM) makes it a condition that is in some cases shared among siblings. Studies that focus on the epidemiology of T1DM among siblings are scarce. The primary focus of the study is to estimate the prevalence of familial T1DM among siblings and the secondary focus is to identify the presence of any special clinical or biochemical characteristics specific to this entity. Methods In a retrospective cross-sectional study, the charts of 308 children (>1 year) diagnosed with type 1 diabetes mellitus in a Saudi tertiary care setting were reviewed. The patients who have one sibling or more with T1DM were included. The prevalence of familial T1DM among siblings was calculated, and specific clinical and biochemical characteristics were investigated. Data were analyzed using Statistical Package for the Social Sciences software version 22 (IBM SPSS Statistics for Windows). The control group includes all patients with type I DM who were excluded for sibling with DM. Results The prevalence of familial T1DM among siblings was estimated at 15.9%. Seventy-four percent of the patients with a positive family history of diabetes mellitus had one affected sibling only. The clinical presentation showed no significant differences relative to the age of presentation, gender, parental consanguinity, diabetic ketoacidosis at presentation, and its number of episodes. For the biochemical characteristics, autoantibody tests revealed no statistically significant difference, but the mean initial HbA1c levels were lower in patients who had diabetic siblings. Conclusion The prevalence of familial T1DM was found to be higher than that reported in other studies. No specific clinical or biochemical features were found to characterize familial T1DM among siblings.
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Affiliation(s)
- Angham AlMutair
- Pediatric Endocrine Division, Department of Pediatrics, King Abdullah Specialist Children Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Saudi Arabia.,College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Saudi Arabia.,King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs Riyadh, Saudi Arabia
| | - Norah AlSabty
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Saudi Arabia
| | - Hala AlNuaim
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Saudi Arabia
| | - Rawan Al Hamdan
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Saudi Arabia
| | - Afaf Moukaddem
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Saudi Arabia
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17
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Gomez-Lopera N, Alfaro JM, Rodriguez AM, Ramirez A, Leal SM, Pineda-Trujillo N. A non-coding RNASEH1 gene variant associates with type 1 diabetes and interacts with HLA tagSNPs in families from Colombia. Pediatr Diabetes 2020; 21:1183-1192. [PMID: 32447804 DOI: 10.1111/pedi.13057] [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: 02/14/2020] [Revised: 05/04/2020] [Accepted: 05/19/2020] [Indexed: 12/01/2022] Open
Abstract
OBJECTIVES RNASEH1 gene has recently been associated with type 1 diabetes (T1D) in Colombia. The purpose of this study was to fine mapping the putative functional variant in RNASEH1 and testing its interaction with HLA tagSNPs. METHODS Two-hundred nuclear families with T1D were included in this study. Probands were tested for GAD65 and IA-2 autoantibodies. Genotyping was performed using 20 coding tagSNPs uncovered through Sanger sequencing (N = 96), in addition to 23 tagSNPs chosen from 1000genomes to cover the extent of the gene region. Also, 45 tagSNPs for classic HLA alleles associated with T1D were also genotyped. The transmission disequilibrium test (TDT) was used to test for association and a multiple testing correction was made using permutation. Interaction between RNASEH1 variants and HLA was evaluated by means of the M-TDT test. RESULTS We identified 20 variants (15 were novel) in the 96 patients sequenced. None of these variants were in linkage disequilibrium. In total, 43 RNASEH1 variants were genotyped in the 200 families. Association between T1D and rs7607888 was identified (P = .002). Haplotype analysis involving rs7607888 variant revealed even stronger association with T1D (most significative P = .0003). HLA tagSNPs displayed stronger associations (OR = 6.39, 95% CI = 4.33-9.44, P-value = 9.74E-28). Finally, we found several statistically significant interactions of HLA variants with rs7607888 (P-value ranged from 8.77E-04 to 5.33E-12). CONCLUSION Our results verify the association of rs7607888 in RNASEH1 gene with T1D. It is also shown in the interaction between RNASEH1 and HLA for conveying risk to T1D in Northwest Colombia. Work is underway aiming to identify the actual classic HLA alleles associated with the tagSNPs tested here.
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Affiliation(s)
- Natalia Gomez-Lopera
- Grupo Mapeo Genetico, Departamento de Pediatria, Universidad de Antioquia, Medellín, Colombia
| | - Juan-Manuel Alfaro
- Grupo Mapeo Genetico, Departamento de Pediatria, Universidad de Antioquia, Medellín, Colombia.,Sección de Endocrinología, Departamento de Pediatria, Universidad de Antioquia, Medellín, Colombia
| | | | - Alex Ramirez
- Clínica Integral de Diabetes, CLID, Unidad de Investigación Clínica, Medellín, Colombia
| | - Suzanne M Leal
- Center for Statistical Genetics, Columbia University, New York, New York, USA
| | - Nicolas Pineda-Trujillo
- Grupo Mapeo Genetico, Departamento de Pediatria, Universidad de Antioquia, Medellín, Colombia
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18
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Yue T, Sun F, Yang C, Wang F, Luo J, Yang P, Xiong F, Zhang S, Yu Q, Wang CY. The AHR Signaling Attenuates Autoimmune Responses During the Development of Type 1 Diabetes. Front Immunol 2020; 11:1510. [PMID: 32849515 PMCID: PMC7426364 DOI: 10.3389/fimmu.2020.01510] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 06/09/2020] [Indexed: 01/02/2023] Open
Abstract
The aryl hydrocarbon receptor (AHR) is a ligand-activated transcriptional factor widely expressed in immune cells. Its ligands range from xenobiotics and natural substances to metabolites, which renders it capable of sensing and responding to a variety of environmental cues. Although AHR signaling has long been recognized to be implicated in the pathogenesis of autoimmune disorders, such as rheumatoid arthritis (RA), colitis, and systemic lupus erythematosus (SLE), its effect on the pathogenesis of type 1 diabetes (T1D) remains less understood. In this review, we intend to summarize its potential implication in T1D pathogenesis and to sort out the related regulatory mechanisms in different types of immune cells. Emerging evidence supports that β cell destruction caused by autoimmune responses can be rectified by AHR signaling. Upon activation by its ligands, AHR not only modulates the development and functionality of immune cells, but also suppresses the expression of inflammatory cytokines, through which AHR attenuates autoimmune responses during the course of T1D development. Since AHR-initiated biological effects vary between different types of ligands, additional studies would be necessary to characterize or de novo synthesize effective and safe ligands aimed to replenish our arsenal in fighting autoimmune responses and β mass loss in a T1D setting.
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Affiliation(s)
- Tiantian Yue
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Sun
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunliang Yang
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Faxi Wang
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiahui Luo
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Yang
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Xiong
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shu Zhang
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qilin Yu
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Cong-Yi Wang
- Center for Biomedical Research, NHC Key Laboratory of Respiratory Diseases, Tongji Hospital Research Building, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Blunk I, Thomsen H, Reinsch N, Mayer M, Försti A, Sundquist J, Sundquist K, Hemminki K. Genomic imprinting analyses identify maternal effects as a cause of phenotypic variability in type 1 diabetes and rheumatoid arthritis. Sci Rep 2020; 10:11562. [PMID: 32665606 PMCID: PMC7360775 DOI: 10.1038/s41598-020-68212-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/18/2020] [Indexed: 02/08/2023] Open
Abstract
Imprinted genes, giving rise to parent-of-origin effects (POEs), have been hypothesised to affect type 1 diabetes (T1D) and rheumatoid arthritis (RA). However, maternal effects may also play a role. By using a mixed model that is able to simultaneously consider all kinds of POEs, the importance of POEs for the development of T1D and RA was investigated in a variance components analysis. The analysis was based on Swedish population-scale pedigree data. With P = 0.18 (T1D) and P = 0.26 (RA) imprinting variances were not significant. Explaining up to 19.00% (± 2.00%) and 15.00% (± 6.00%) of the phenotypic variance, the maternal environmental variance was significant for T1D (P = 1.60 × 10-24) and for RA (P = 0.02). For the first time, the existence of maternal genetic effects on RA was indicated, contributing up to 16.00% (± 3.00%) of the total variance. Environmental factors such as the social economic index, the number of offspring, birth year as well as their interactions with sex showed large effects.
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Affiliation(s)
- Inga Blunk
- Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany.
| | - Hauke Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- GeneWerk GmbH, Heidelberg, Germany
| | - Norbert Reinsch
- Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany
| | - Manfred Mayer
- Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany
| | - Asta Försti
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA
- Center for Community-Based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, Izumo, Japan
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA
- Center for Community-Based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, Izumo, Japan
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, Pilsen, Czech Republic
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Skubis-Sikora A, Sikora B, Witkowska A, Mazurek U, Gola J. Osteogenesis of adipose-derived stem cells from patients with glucose metabolism disorders. Mol Med 2020; 26:67. [PMID: 32615920 PMCID: PMC7331176 DOI: 10.1186/s10020-020-00192-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 06/19/2020] [Indexed: 12/13/2022] Open
Abstract
Background Adipose derived stem cells (ADSCs) are clinically widely used somatic stem cells obtained from white adipose tissue. They are characterized by ability to differentiate e.g. into osteoblasts and might successfully regenerate bone tissue in fracture repair. However, the main problem of somatic stem cells is a documented influence of various diseases, drugs or age which can inhibit cells activity. Therefore, in the present study, we investigated the influence of insulin resistance (IR) and type 2 diabetes (T2D) on the proliferation and differentiation potential of ADSCs. Methods The fat from subcutaneous abdominal adipose tissue was acquired by lipoaspiration from 23 voluntary participants, divided into three groups: with diabetes type 2, with insulin resistance and control healthy donors. The proliferative potential was analyzed by cell cytotoxicity assays and by mRNA expression of genes connected with proliferation. Flow cytometry was done for identifying proteins characteristic for mesenchymal stem cells and an analysis of osteogenic differentiation potential based on the assessment of osteogenic markers by real time RT-qPCR, and the evaluation of calcium deposition were also performed. Results The results showed that diabetes type 2 lowered the activity of ADSCs in proliferation assays and changed their phenotypical characteristics. Interestingly, we observed differences in the proliferation potential of ADSCs in patients with insulin resistance, which is often the first phase of diabetes, compared to the control. It might suggest that insulin resistance, early-stage T2D, alters the activity of cells. Moreover, expression of osteogenesis markers was higher in cells from T2D patients than in cells from patients with IR and control. Conclusion We conclude that type 2 diabetes changes the activity of stem cells, and insulin resistance influences on the proliferation of ADSCs.
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Affiliation(s)
- Aleksandra Skubis-Sikora
- Department of Cytophysiology, Chair of Histology and Embryology, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, ul. Medyków 18, C2/108, 40-752, Katowice, Poland
| | - Bartosz Sikora
- Department of Cytophysiology, Chair of Histology and Embryology, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, ul. Medyków 18, C2/108, 40-752, Katowice, Poland.
| | | | - Urszula Mazurek
- Józef Tyszkiewicz Higher School in Bielsko-Biała, ul, Nadbrzeżna 12, 43-300, Bielsko-Biała, Poland
| | - Joanna Gola
- Department of Molecular Biology, Chair of Molecular Biology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Katowice, Poland
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21
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Black LA, Zorina T. Genetic profile considerations for induction of allogeneic chimerism as a therapeutic approach for type 1 diabetes mellitus. Drug Discov Today 2020; 25:1293-1297. [PMID: 32445668 DOI: 10.1016/j.drudis.2020.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 04/26/2020] [Accepted: 05/05/2020] [Indexed: 11/28/2022]
Abstract
The major therapeutic modality for type 1 diabetes mellitus (T1DM) remains sustaining euglycemia by exogenous administration of insulin. Based on a new understanding of bone marrow structural and functional dynamics, a conditioning-free bone marrow transplantation (BMT), with reduced adverse effects, opens the possibility for evaluating β cell regeneration and restoration of euglycemia by induction of allogeneic chimerism in patients T1DM, as shown in a mouse model. With this therapeutic modality, donor bone marrow (BM) selection based on T1DM-predisposing and preventive phenotypes will improve treatment outcomes by limiting the risk of exacerbating the autoimmune processes in the BM recipient.
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Affiliation(s)
- Labe A Black
- Thomas Jefferson University, Jefferson College of Health Professions, Department of Medical Laboratory Science and Biotechnology, Philadelphia, PA, USA.
| | - Tatiana Zorina
- Thomas Jefferson University, Jefferson College of Health Professions, Department of Medical Laboratory Science and Biotechnology, Philadelphia, PA, USA.
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Yahaya TO, Salisu T, Abdulrahman YB, Umar AK. Update on the genetic and epigenetic etiology of gestational diabetes mellitus: a review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2020. [DOI: 10.1186/s43042-020-00054-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Abstract
Background
Many studies have been conducted on the genetic and epigenetic etiology of gestational diabetes mellitus (GDM) in the last two decades because of the disease’s increasing prevalence and role in global diabetes mellitus (DM) explosion. An update on the genetic and epigenetic etiology of GDM then becomes imperative to better understand and stem the rising incidence of the disease. This review, therefore, articulated GDM candidate genes and their pathophysiology for the awareness of stakeholders.
Main body (genetic and epigenetic etiology, GDM)
The search discovered 83 GDM candidate genes, of which TCF7L2, MTNR1B, CDKAL1, IRS1, and KCNQ1 are the most prevalent. Certain polymorphisms of these genes can modulate beta-cell dysfunction, adiposity, obesity, and insulin resistance through several mechanisms. Environmental triggers such as diets, pollutants, and microbes may also cause epigenetic changes in these genes, resulting in a loss of insulin-boosting and glucose metabolism functions. Early detection and adequate management may resolve the condition after delivery; otherwise, it will progress to maternal type 2 diabetes mellitus (T2DM) and fetal configuration to future obesity and DM. This shows that GDM is a strong risk factor for T2DM and, in rare cases, type 1 diabetes mellitus (T1DM) and maturity-onset diabetes of the young (MODY). This further shows that GDM significantly contributes to the rising incidence and burden of DM worldwide and its prevention may reverse the trend.
Conclusion
Mutations and epigenetic changes in certain genes are strong risk factors for GDM. For affected individuals with such etiologies, medical practitioners should formulate drugs and treatment procedures that target these genes and their pathophysiology.
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Flavonoids and type 2 diabetes: Evidence of efficacy in clinical and animal studies and delivery strategies to enhance their therapeutic efficacy. Pharmacol Res 2020; 152:104629. [PMID: 31918019 DOI: 10.1016/j.phrs.2020.104629] [Citation(s) in RCA: 87] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/23/2019] [Accepted: 01/02/2020] [Indexed: 12/26/2022]
Abstract
Diabetes mellitus type 2 (T2DM) is a metabolic disorder develops due to the overproduction of free radicals where oxidative stress could contribute it. Possible factors are defective insulin signals, glucose oxidation, and degradation of glycated proteins as well as alteration in glutathione metabolism which induced hyperglycemia. Previous studies revealed a link between T2DM with oxidative stress, inflammation and insulin resistance which are assumed to be regulated by numerous cellular networks such as NF-κB, PI3K/Akt, MAPK, GSK3 and PPARγ. Flavonoids are ubiquitously present in the nature and classified according to their chemical structures for example, flavonols, flavones, flavan-3-ols, anthocyanidins, flavanones, and isoflavones. Flavonoids indicate poor bioavailability which could be improved by employing various nano-delivery systems against the occurrences of T2DM. These bioactive compounds exert versatile anti-diabetic activities via modulating targeted cellular signaling networks, thereby, improving glucose metabolism, α -glycosidase, and glucose transport or aldose reductase by carbohydrate metabolic pathway in pancreatic β-cells, hepatocytes, adipocytes and skeletal myofibres. Moreover, anti-diabetic properties of flavonoids also encounter diabetic related complications. This review article has designed to shed light on the anti-diabetic potential of flavonoids, contribution of oxidative stress, evidence of efficacy in clinical, cellular and animal studies and nano-delivery approaches to enhance their therapeutic efficacy. This article might give some new insights for therapeutic intervention against T2DM in near future.
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Li E, Luo T, Wang Y. Identification of diagnostic biomarkers in patients with gestational diabetes mellitus based on transcriptome gene expression and methylation correlation analysis. Reprod Biol Endocrinol 2019; 17:112. [PMID: 31881887 PMCID: PMC6933721 DOI: 10.1186/s12958-019-0556-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 12/12/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) has a high prevalence in the period of pregnancy. However, the lack of gold standards in current screening and diagnostic methods posed the biggest limitation. Regulation of gene expression caused by DNA methylation plays an important role in metabolic diseases. In this study, we aimed to screen GDM diagnostic markers, and establish a diagnostic model for predicting GDM. METHODS First, we acquired data of DNA methylation and gene expression in GDM samples (N = 41) and normal samples (N = 41) from the Gene Expression Omnibus (GEO) database. After pre-processing the data, linear models were used to identify differentially expressed genes (DEGs). Then we performed pathway enrichment analysis to extract relationships among genes from pathways, construct pathway networks, and further analyzed the relationship between gene expression and methylation of promoter regions. We screened for genes which are significantly negatively correlated with methylation and established mRNA-mRNA-CpGs network. The network topology was further analyzed to screen hub genes which were recognized as robust GDM biomarkers. Finally, the samples were randomly divided into training set (N = 28) and internal verification set (N = 27), and the support vector machine (SVM) ten-fold cross-validation method was used to establish a diagnostic classifier, which verified on internal and external data sets. RESULTS In this study, we identified 465 significant DEGs. Functional enrichment analysis revealed that these genes were associated with Type I diabetes mellitus and immunization. And we constructed an interactional network including 1091 genes by using the regulatory relationships of all 30 enriched pathways. 184 epigenetics regulated genes were screened by analyzing the relationship between gene expression and promoter regions' methylation in the network. Moreover, the accuracy rate in the training data set was increased up to 96.3, and 82.1% in the internal validation set, and 97.3% in external validation data sets after establishing diagnostic classifiers which were performed by analyzing the gene expression profiles of obtained 10 hub genes from this network, combined with SVM. CONCLUSIONS This study provided new features for the diagnosis of GDM and may contribute to the diagnosis and personalized treatment of GDM.
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Affiliation(s)
- Enchun Li
- Department of Gynecologic Oncology, Women's Hospital, School of Medicine, Zhejiang University, No. 1 Xueshi Road, Hangzhou, 310006, China.
| | - Tengfei Luo
- Department of Obstetrics, Hangzhou Women's Hospital, Hagzhuo, China
| | - Yingjun Wang
- Department of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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Abstract
Type 1 diabetes mellitus (T1DM) is characterized by autoimmune destruction of pancreatic beta-cells in genetically predisposed individuals, eventually resulting in severe insulin deficiency. It is the most common form of diabetes in children and adolescents. Genetic susceptibility plays a crucial role in development of T1DM. The human leukocyte antigen complex plays a key role in the pathogenesis of T1DM. Furthermore, genome-wide association studies and linkage analysis have recently made a significant contribution to current knowledge relative to the impact of genetics on T1DM development and progression. This review focuses on current knowledge of genetics as a pathogenesis for T1DM. It also discusses mechanisms by which genes influence the risk of developing T1DM as well as the clinical and research applications of genetic risk scores in T1DM.
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Affiliation(s)
- Hae Sang Lee
- Department of Pediatrics, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea,Address for correspondence: Hae Sang Lee, MD, PhD Department of Pediatrics, Ajou University Hospital, Ajou University School of Medicine, 164 World cupro, Yeongtong-gu, Suwon 16499, Korea Tel: +82-31-219-5166 Fax: +82-31-219-5169 E-mail:
| | - Jin Soon Hwang
- Department of Pediatrics, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
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Smail HO. The epigenetics of diabetes, obesity, overweight and cardiovascular disease. AIMS GENETICS 2019; 6:36-45. [PMID: 31663031 PMCID: PMC6803788 DOI: 10.3934/genet.2019.3.36] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 07/25/2019] [Indexed: 02/06/2023]
Abstract
The objectives of this review were once to understand the roles of the epigenetics mechanism in different types of diabetes, obesity, overweight, and cardiovascular disease. Epigenetics represents a phenomenon of change heritable phenotypic expression of genetic records taking place except changes in DNA sequence. Epigenetic modifications can have an impact on a whole of metabolic disease with the aid of specific alteration of candidate genes based totally on the change of the target genes. In this review, I summarized the new findings in DNA methylation, histone modifications in each type of diabetes (type 1 and type 2), obesity, overweight, and cardiovascular disease. The involvement of histone alterations and DNA methylation in the development of metabolic diseases is now widely accepted recently many novel genes have been demonstrated that has roles in diabetes pathway and it can be used for detection prediabetic; however Over the modern-day years, mass spectrometry-based proteomics techniques positioned and mapped one-of a kind range of histone modifications linking obesity and metabolic diseases. The main point of these changes is rapidly growing; however, their points and roles in obesity are no longer properly understood in obesity. Furthermore, epigenetic seen in cardiovascular treatment revealed a massive quantity of modifications affecting the improvement and development of cardiovascular disease. In addition, epigenetics are moreover involved in cardiovascular risk factors such as smoking. The aberrant epigenetic mechanisms that make a contribution to cardiovascular disease.
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Affiliation(s)
- Harem Othman Smail
- Department of Biology, Faculty of science and health, Koya University Koya KOY45, Kurdistan Region-F.R. Iraq
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Yuan X, Zheng J, Ren L, Jiao S, Feng C, Du Y, Liu H. Enteromorpha prolifera oligomers relieve pancreatic injury in streptozotocin (STZ)-induced diabetic mice. Carbohydr Polym 2018; 206:403-411. [PMID: 30553339 DOI: 10.1016/j.carbpol.2018.11.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 10/30/2018] [Accepted: 11/07/2018] [Indexed: 02/04/2023]
Abstract
The polysaccharides of Enteromorpha prolifera (PEP) displayed various bioactivities such as anti-viral, anti-inflammatory and immune-regulative effects. However, no studies were performed on the biological effect of Enteromorpha prolifera oligomers (EPO). In this study, we prepared EPO and evaluated their anti-diabetic effect. By enzymatic degradation, EPO were produced from PEP, and the average molecular weight was identified to be 44.1 kDa by Gel Permeation Chromatography (GPC) analysis. The major monosaccharide units of EPO were measured to be rhamnose, glucuronic acid, glucose, xylose and galactose by capillary electrophoresis assay. Based on the in vitro studies, EPO presented potent reducing power and antioxidant effect such as the scavenging of 1, 1-diphenyl-2-picrylhydrazyl (DPPH), superoxide and NO radicals. The in vivo studies show that EPO relieved the symptoms of polydipsia, polyphagia, emaciation and hyperglycemia in streptozotocin (STZ)-induced diabetic mice to a certain extent. Further, by using the quantitative real-time PCR (qPCR) assay and immunofluorescence staining, EPO was proved to promote the insulin secretion by reducing pancreatic inflammation and apoptosis in diabetic mice. In summary, our results indicate that the mitigation of EPO on pancreatic damage might be an effective way to ameliorate the diabetes mellitus.
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Affiliation(s)
- Xubing Yuan
- State Key Laboratory of Biochemical Engineering and Key Laboratory of Biopharmaceutical Production & Formulation Engineering, PLA, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China.
| | - Junping Zheng
- State Key Laboratory of Biochemical Engineering and Key Laboratory of Biopharmaceutical Production & Formulation Engineering, PLA, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China.
| | - Lishi Ren
- State Key Laboratory of Biochemical Engineering and Key Laboratory of Biopharmaceutical Production & Formulation Engineering, PLA, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China.
| | - Siming Jiao
- State Key Laboratory of Biochemical Engineering and Key Laboratory of Biopharmaceutical Production & Formulation Engineering, PLA, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China.
| | - Cui Feng
- State Key Laboratory of Biochemical Engineering and Key Laboratory of Biopharmaceutical Production & Formulation Engineering, PLA, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China.
| | - Yuguang Du
- State Key Laboratory of Biochemical Engineering and Key Laboratory of Biopharmaceutical Production & Formulation Engineering, PLA, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China.
| | - Hongtao Liu
- State Key Laboratory of Biochemical Engineering and Key Laboratory of Biopharmaceutical Production & Formulation Engineering, PLA, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China.
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Abstract
PURPOSE OF REVIEW Great strides have recently been made in elucidating the role of genetic sequence variation in diabetes pathogenesis. Increasingly, studies are focusing on other factors that may contribute to the pathogenesis of diabetes, such as epigenetics, a term "traditionally" encompassing changes to the DNA that do not alter sequence and are heritable (primary methylation and histone modification) but often expanded to include microRNAs. This review summarizes latest findings on the role of epigenetics in diabetes pathogenesis. RECENT FINDINGS Recent studies illustrate roles for methylation changes, histone modification, imprinting, and microRNAs across several diabetes types and complications. Notably, methylation changes in the human leukocyte antigen (HLA) region have been found to precede the development of type 1 diabetes. In type 2 diabetes, lifestyle factors appear to interact with epigenetic mechanisms in pathogenesis. Emerging technologies have allowed increasingly comprehensive descriptive analysis of the role of epigenetic mechanisms in diabetes pathogenesis which have yielded meaningful insights into effects on expression of relevant genes. These findings have the potential to inform future development of predictive testing to enable primary prevention and further work to uncover the complex pathogenesis of diabetes.
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Affiliation(s)
- Haichen Zhang
- Department of Medicine, Division of Endocrinology, Diabetes and Nutrition Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Room 4040, Baltimore, MD, 21201, USA
| | - Toni I Pollin
- Department of Medicine, Division of Endocrinology, Diabetes and Nutrition Program for Personalized and Genomic Medicine, Department of Epidemiology and Public Health, University of Maryland School of Medicine, 670 West Baltimore Street, Room 4040, Baltimore, MD, 21201, USA.
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Hajjej A, Almawi WY, Stayoussef M, Arnaiz-Villena A, Hattab L, Hmida S. Association of HLA-DRB1 and -DQB1 alleles with type 1 (autoimmune) diabetes in African Arabs: systematic review and meta-analysis. Immunol Invest 2018; 48:130-146. [PMID: 30004835 DOI: 10.1080/08820139.2018.1493498] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Several studies confirmed the association of HLA-DRB1 and -DQB1 alleles with altered risk of type 1 diabetes (T1D). However, data from individual studies based on small sample sizes yielded often conflicting findings in African Arabs. This is a systematic review and meta-analysis aimed at comprehensively evaluating this association with T1D, using molecular HLA data. Relevant studies were identified through systemic search of Medline/PubMed, Cochrane, Science Direct, ResearchGate, and EMBASE databases. Statistical analysis was carried out using RevMan, and Comprehensive Meta-analysis programs. Given the heterogeneity of African Arabs, we also performed subgroup analysis according to ethnicity. Analysis of sensitivity, heterogeneity, and publication bias were performed to validate the outcome of the findings. This meta-analysis included 862 T1DM cases, along with 1,390 normoglycemic control, and comprised ten comparisons. Our study indicates that DRB1*03 (OR = 2.86), DRB1*04 (OR = 2.78), and DQB1*02 (OR = 2.29), are positively associated with increased risk of T1DM, while DRB1*07 (OR = 0.48), DRB1*11 (OR = 0.20), DRB1*13 (OR = 0.47), DRB1*15 (OR = 0.30), DQB1*05 (OR = 0.39), and DQB1*06 (OR = 0.27) were negatively associated with T1D, suggesting a protective role against T1D. This meta-analysis was characterized by low heterogeneity, sensitivity, and publication bias, indicating the robustness and reliability of the results. BACKGROUND Several studies confirmed the association of HLA-DRB1 and -DQB1 alleles with altered risk of type 1 diabetes (T1D). However, data from individual studies based on small sample sizes yielded often conflicting findings in African Arabs. This is a systematic review and meta-analysis aimed at comprehensively evaluating this association with T1D, using molecular HLA data. METHODS Relevant studies were identified through systemic search of Medline/PubMed, Cochrane, Science Direct, ResearchGate, and EMBASE databases. Statistical analysis was carried out using Revman, and Comprehensive Meta-analysis programs. Given the heterogeneity of African Arabs, we also performed subgroup analysis according to ethnicity. Analysis of sensitivity, heterogeneity, and pub¬lication bias were performed to validate the outcome of the findings. This meta-analysis included 862 T1DM cases, along with 1,390 normoglycemic control, and comprised ten comparisons. RESULTS Our study indicates that DRB1*03 (OR = 2.86), DRB1*04 (OR = 2.78), and DQB1*02 (OR = 2.29), are positively associated with increased risk of T1DM, while DRB1*07 (OR = 0.48), DRB1*11 (OR = 0.20), DRB1*13 (OR = 0.47), DRB1*15 (OR = 0.30), DQB1*05 (OR = 0.39), and DQB1*06 (OR = 0.27) were negatively associated with T1D, suggesting a protective role against T1D. CONCLUSION This meta-analysis was characterized by low heterogeneity, sensitivity, and publication bias, indicating the robustness and reliability of the results.
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Affiliation(s)
- Abdelhafidh Hajjej
- a Department of Immunogenetics , National Blood Transfusion Center , Tunis , Tunisia
| | - Wassim Y Almawi
- b School of Pharmacy , Lebanese American University , Byblos , Lebanon.,c Department of Biology, Faculty of Sciences , El-Manar University , Tunis , Tunisia
| | - Mouna Stayoussef
- c Department of Biology, Faculty of Sciences , El-Manar University , Tunis , Tunisia
| | - Antonio Arnaiz-Villena
- d Department of Immunology, School of Medicine, Madrid Regional Blood Center , University Complutense , Madrid , Spain
| | - Lasmar Hattab
- e Department of Medical Analysis , Regional Hospital of Gabes (Ghannouch) , Gabes , Tunisia
| | - Slama Hmida
- a Department of Immunogenetics , National Blood Transfusion Center , Tunis , Tunisia
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Redondo MJ, Steck AK, Pugliese A. Genetics of type 1 diabetes. Pediatr Diabetes 2018; 19:346-353. [PMID: 29094512 PMCID: PMC5918237 DOI: 10.1111/pedi.12597] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 09/18/2017] [Accepted: 09/20/2017] [Indexed: 12/23/2022] Open
Abstract
Type 1 diabetes (T1D) results from immune-mediated loss of pancreatic beta cells leading to insulin deficiency. It is the most common form of diabetes in children, and its incidence is on the rise. This article reviews the current knowledge on the genetics of T1D. In particular, we discuss the influence of HLA and non-HLA genes on T1D risk and disease progression through the preclinical stages of the disease, and the development of genetic scores that can be applied to disease prediction. Racial/ethnic differences, challenges and future directions in the genetics of T1D are also discussed.
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Affiliation(s)
- Maria J. Redondo
- Texas Children's Hospital, Baylor College of Medicine, Houston, TX 77030
| | - Andrea K. Steck
- University of Colorado School of Medicine, Barbara Davis Center for Childhood Diabetes, Aurora, CO, 80045
| | - Alberto Pugliese
- Diabetes Research Institute, Department of Medicine, Division of Endocrinology and Metabolism, Department of Microbiology and Immunology, Leonard Miller School of Medicine, University of Miami, Miami, FL 33136
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31
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Genetic and epigenetic influences on the loss of tolerance in autoimmunity. Cell Mol Immunol 2018; 15:575-585. [PMID: 29503444 DOI: 10.1038/cmi.2017.137] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 10/21/2017] [Indexed: 12/23/2022] Open
Abstract
Immunological tolerance loss is fundamental to the development of autoimmunity; however, the underlying mechanisms remain elusive. Immune tolerance consists of central and peripheral tolerance. Central tolerance, which occurs in the thymus for T cells and bone marrow for B cells, is the primary way that the immune system discriminates self from non-self. Peripheral tolerance, which occurs in tissues and lymph nodes after lymphocyte maturation, controls self-reactive immune cells and prevents over-reactive immune responses to various environment factors. Loss of tolerance results in autoimmune disorders, such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), type 1 diabetes (T1D) and primary biliary cirrhosis (PBC). The etiology and pathogenesis of autoimmune diseases are highly complicated. Both genetic predisposition and epigenetic modifications are implicated in the loss of tolerance and autoimmunity. In this review, we will discuss the genetic and epigenetic influences on tolerance breakdown in autoimmunity. Genetic and epigenetic influences on autoimmune diseases, such as SLE, RA, T1D and PBC, will also be briefly discussed.
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Kim DS, Song L, Wang J, Wu H, Gu G, Sugi Y, Li Z, Wang H. GRP94 Is an Essential Regulator of Pancreatic β-Cell Development, Mass, and Function in Male Mice. Endocrinology 2018; 159:1062-1073. [PMID: 29272356 PMCID: PMC5793778 DOI: 10.1210/en.2017-00685] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 12/08/2017] [Indexed: 12/25/2022]
Abstract
Deficiencies in pancreatic β-cell mass contribute to both type 1 and type 2 diabetes. We investigated the role of the glucose-regulated protein (GRP) 94, an endoplasmic reticulum protein abundantly expressed in the pancreatic acini and islets, in β-cell development, survival, and function. We used a conditional knockout (KO) mouse in which the GRP94 gene, Hsp90b1, was specifically deleted in pancreatic and duodenal homeobox 1 (Pdx1)-expressing cells. These Hsp90b1 flox/flox;Pdx1Cre KO mice exhibited pancreatic hypoplasia at embryonic day (E) 16.5 to E18.5 and had significantly reduced β-cell mass at 4 weeks after birth. Further mechanistic studies showed that deletion of GRP94 reduced β-cell proliferation with increased cell apoptosis in both Pdx1+ endocrine progenitor cells and differentiated β cells. Although Hsp90b1 flox/flox;Pdx1Cre KO mice remained euglycemic at 8 weeks of age, they exhibited impaired glucose tolerance. In aggregate, these findings indicate that GRP94 is an essential regulator of pancreatic β-cell development, mass, and function.
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Affiliation(s)
- Do-sung Kim
- Department of Surgery, Medical University of South Carolina, Charleston, South Carolina 29425
| | - Lili Song
- Department of Surgery, Medical University of South Carolina, Charleston, South Carolina 29425
| | - Jingjing Wang
- Department of Surgery, Medical University of South Carolina, Charleston, South Carolina 29425
| | - Hongju Wu
- Department of Medicine, Tulane University, New Orleans, Louisiana 70112
| | - Guoqiang Gu
- Department of Cell and Developmental Biology, Vanderbilt University Medical Center, Nashville, Tennessee 37235
| | - Yukiko Sugi
- Regenerative Medicine and Cell Biology, Medical University of South Carolina, Charleston, South Carolina 29425
| | - Zihai Li
- Microbiology and Immunology, Medical University of South Carolina, Charleston, South Carolina 29425
| | - Hongjun Wang
- Department of Surgery, Medical University of South Carolina, Charleston, South Carolina 29425
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Johansson BB, Fjeld K, El Jellas K, Gravdal A, Dalva M, Tjora E, Ræder H, Kulkarni RN, Johansson S, Njølstad PR, Molven A. The role of the carboxyl ester lipase (CEL) gene in pancreatic disease. Pancreatology 2018; 18:12-19. [PMID: 29233499 DOI: 10.1016/j.pan.2017.12.001] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 11/28/2017] [Accepted: 12/01/2017] [Indexed: 12/11/2022]
Abstract
The enzyme carboxyl ester lipase (CEL), also known as bile salt-dependent or -stimulated lipase (BSDL, BSSL), hydrolyzes dietary fat, cholesteryl esters and fat-soluble vitamins in the duodenum. CEL is mainly expressed in pancreatic acinar cells and lactating mammary glands. The human CEL gene resides on chromosome 9q34.3 and contains a variable number of tandem repeats (VNTR) region that encodes a mucin-like protein tail. Although the number of normal repeats does not appear to significantly influence the risk for pancreatic disease, single-base pair deletions in the first VNTR repeat cause a syndrome of endocrine and exocrine dysfunction denoted MODY8. Hallmarks are low fecal elastase levels and pancreatic lipomatosis manifesting before the age of twenty, followed by development of diabetes and pancreatic cysts later in life. The mutant protein forms intracellular and extracellular aggregates, suggesting that MODY8 is a protein misfolding disease. Recently, a recombined allele between CEL and its pseudogene CELP was discovered. This allele (CEL-HYB) encodes a chimeric protein with impaired secretion increasing five-fold the risk for chronic pancreatitis. The CEL gene has proven to be exceptionally polymorphic due to copy number variants of the CEL-CELP locus and alterations involving the VNTR. Genome-wide association studies or deep sequencing cannot easily pick up this wealth of genetic variation. CEL is therefore an attractive candidate gene for further exploration of links to pancreatic disease.
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Affiliation(s)
- Bente B Johansson
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Pediatrics and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
| | - Karianne Fjeld
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Khadija El Jellas
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway; Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Anny Gravdal
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway; Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Monica Dalva
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway; Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Erling Tjora
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Pediatrics and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
| | - Helge Ræder
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Pediatrics and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
| | - Rohit N Kulkarni
- Islet Cell and Regenerative Biology, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stefan Johansson
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Pål R Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Pediatrics and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
| | - Anders Molven
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway; Department of Pathology, Haukeland University Hospital, Bergen, Norway.
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34
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Kim GS, Kim SG, Kim HS, Hwang EY, Lee JH, Yoon H. The relationship between chronic kidney function and homeostasis model assessment of insulin resistance and beta cell function in Korean adults with or without type 2 diabetes mellitus. Endocr J 2017; 64:1181-1190. [PMID: 28890482 DOI: 10.1507/endocrj.ej17-0274] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The present study was conducted to assess the relationship between chronic kidney disease (CKD) and the homeostasis model assessment of insulin resistance (HOMA-IR) and beta cell function (HOMA-B) in Korean adults with or without type 2 diabetes mellitus (T2DM). This study included 5,188 adults aged 20 or older using the 2015 Korea National Health and Nutrition Examination Survey (KNHANES) data, which represents national data in Korea. A covariance test adjusted for covariates was performed for HOMA-IR and HOMA-B in relation to CKD. The present study has several key findings. First, in T2DM, HOMA-IR (p = 0.035) was higher in the CKD group than in the non-CKD group after adjusting for the related variables but HOMA-B (p = 0.141) was not significant. Second, in non-T2DM, HOMA-IR (p = 0.163) and HOMA-B (p = 0.658) were not associated with CKD after adjusting for the related variables (except age). However, when further adjusted for age, HOMA-IR (p = 0.020) and HOMA-B (p = 0.006) were higher in the CKD group than in the non-CKD group. In conclusion, insulin resistance was positively associated CKD with in Korean adults with or without T2DM. Beta cell function was positively associated CKD with in Korean adults without T2DM but not in Korean adults with T2DM.
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Affiliation(s)
- Gwang Seok Kim
- Department of Emergency Medical Technology, Chungbuk Health and Science University, Cheongju-si 28150, South Korea
| | - Sung Gil Kim
- Department of Radiological Science, Hanlyo University, Gwangyang-si, 57764, South Korea
| | - Han Soo Kim
- Department of Health Science Graduate School, Chosun University, Gwangju 61457, South Korea
| | - Eun Young Hwang
- Department of Nursing Graduate School, Chosun University, Gwangju 61457, South Korea
| | - Jun Ho Lee
- Department of Biomedical Laboratory Science, Wonkwang Health Science University, Iksan-si, 54538, South Korea
| | - Hyun Yoon
- Department of Biomedical Laboratory Science, Hanlyo University, Gwangyang-si 57764, South Korea
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35
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Krischer JP, Liu X, Lernmark Å, Hagopian WA, Rewers MJ, She JX, Toppari J, Ziegler AG, Akolkar B. The Influence of Type 1 Diabetes Genetic Susceptibility Regions, Age, Sex, and Family History on the Progression From Multiple Autoantibodies to Type 1 Diabetes: A TEDDY Study Report. Diabetes 2017; 66:3122-3129. [PMID: 28903990 PMCID: PMC5697938 DOI: 10.2337/db17-0261] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 09/07/2017] [Indexed: 01/01/2023]
Abstract
This article seeks to determine whether factors related to autoimmunity risk remain significant after the initiation of two or more diabetes-related autoantibodies and continue to contribute to type 1 diabetes (T1D) risk among autoantibody-positive children in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Characteristics included are age at multiple autoantibody positivity, sex, selected high-risk HLA-DR-DQ genotypes, relationship to a family member with T1D, autoantibody at seroconversion, INS gene (rs1004446_A), and non-HLA gene polymorphisms identified by the Type 1 Diabetes Genetics Consortium (T1DGC). The risk of progression to T1D was not different among those with or without a family history of T1D (P = 0.39) or HLA-DR-DQ genotypes (P = 0.74). Age at developing multiple autoantibodies (hazard ratio = 0.96 per 1-month increase in age; 95% CI 0.95, 0.97; P < 0.001) and the type of first autoantibody (when more than a single autoantibody was the first-appearing indication of seroconversion [P = 0.006]) were statistically significant. Female sex was also a significant risk factor (P = 0.03). Three single nucleotide polymorphisms were associated with increased diabetes risk (rs10517086_A [P = 0.03], rs1534422_G [P = 0.006], and rs2327832_G [P = 0.03] in TNFAIP3) and one with decreased risk (rs1004446_A in INS [P = 0.006]). The TEDDY data suggest that non-HLA gene polymorphisms may play a different role in the initiation of autoimmunity than they do in progression to T1D once autoimmunity has appeared. The strength of these associations may be related to the age of the population and the high-risk HLA-DR-DQ subtypes studied.
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Affiliation(s)
- Jeffrey P Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Xiang Liu
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University Clinical Research Center, Skåne University Hospital, Malmö, Sweden
| | | | - Marian J Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO
| | - Jin-Xiong She
- Center for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Department of Physiology, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München; Klinikum rechts der Isar, Technische Universität München; and Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Beena Akolkar
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD
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36
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Kyvsgaard JN, Overgaard AJ, Jacobsen LD, Thorsen SU, Pipper CB, Hansen TH, Husted S, Mortensen HB, Pociot F, Svensson J. Low perinatal zinc status is not associated with the risk of type 1 diabetes in children. Pediatr Diabetes 2017; 18:637-642. [PMID: 27873432 DOI: 10.1111/pedi.12476] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 09/25/2016] [Accepted: 10/15/2016] [Indexed: 11/29/2022] Open
Abstract
AIM Immunologic events during fetal life may play a part in the pathogenesis of type 1 diabetes (T1D). As zinc is involved in immunologic processes, the purpose was to investigate perinatal zinc status and the later risk of developing T1D and association to age at onset. METHODS A population-based case-control study based on data from Danish Childhood Diabetes Register and the Danish Newborn Screening Biobank. Cases and controls were matched by birth year and month. Zinc status was analyzed in dried blood spots collected 5 to 7 days after birth. Logistic regression model was used to test the influence of zinc on risk of T1D. Linear regression modeling was used to examine the association between zinc status and covariates as well as age at onset. Zinc status was adjusted for HLA-DQB1 genotype, birth data and maternal age. RESULTS Each doubling in perinatal zinc status was not associated with T1D risk; odds ratio (OR) = 1.06 (95% confidence interval [CI] 0.84, 1.32) ( P = 0.62), adjusted for birth year and season. This finding persisted after adjustment for possible confounders; OR = 1.01 (95% CI 0.77, 1.34) ( P = 0.93). In none of the cohorts there were significant associations to age at onset. CONCLUSION The risk of developing T1D in Danish children was not associated with perinatal zinc status nor age at onset.
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Affiliation(s)
- Julie N Kyvsgaard
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Anne J Overgaard
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Louise D Jacobsen
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Steffen U Thorsen
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Christian B Pipper
- Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thomas H Hansen
- Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Søren Husted
- Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Henrik B Mortensen
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Flemming Pociot
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jannet Svensson
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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37
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Søgaard KL, Ellervik C, Svensson J, Thorsen SU. The Role of Iron in Type 1 Diabetes Etiology: A Systematic Review of New Evidence on a Long-Standing Mystery. Rev Diabet Stud 2017; 14:269-278. [PMID: 29145537 PMCID: PMC6115007 DOI: 10.1900/rds.2017.14.269] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 07/13/2017] [Accepted: 08/24/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The incidence of type 1 diabetes (T1D) is rising, which might be due to the influence of environmental factors. Biological and epidemiological evidence has shown that excess iron is associated with beta-cell damage and impaired insulin secretion. AIM In this review, our aim was to assess the association between iron and the risk of T1D. METHODS A systematic literature search was performed in PubMed and EMBASE in July 2016. Studies investigating the effect of iron status/intake on the risk of developing T1D later were included, and study quality was evaluated. The results have been summarized in narrative form. RESULTS From a total of 931 studies screened, we included 4 observational studies evaluating iron intake from drinking water or food during early life and the risk of T1D. The quality of the studies was moderate to high assessed via the nine-star Newcastle Ottawa Scale. One out of the four studies included in this review found estimates of dietary iron intake to be associated with risk of T1D development, whereas three studies found no such relationship for estimates of iron in drinking water. CONCLUSIONS The limited number of studies included found dietary iron, but not iron in drinking water, to be associated with risk of T1D. Further studies are needed to clarify the association between iron and risk of T1D, especially studies including measurements of body iron status.
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Affiliation(s)
- Karen L. Søgaard
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Herlev Ringvej 75, 2730 Herlev, Denmark
| | - Christina Ellervik
- Department of Production, Research, and Innovation; Region Zealand, Alleen 15, 4180 Sorø, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
- Department of Laboratory Medicine, Boston Children`s Hospital, 300 Longwood Avenue, 02115, Boston, MA, USA
- Harvard Medical School, 25 Shattuck St, 02115, Boston, MA, USA
| | - Jannet Svensson
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Herlev Ringvej 75, 2730 Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Steffen U. Thorsen
- Copenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev Hospital, University of Copenhagen, Herlev Ringvej 75, 2730 Herlev, Denmark
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38
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Zullo A, Sommese L, Nicoletti G, Donatelli F, Mancini FP, Napoli C. Epigenetics and type 1 diabetes: mechanisms and translational applications. Transl Res 2017; 185:85-93. [PMID: 28552218 DOI: 10.1016/j.trsl.2017.05.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 04/27/2017] [Accepted: 05/08/2017] [Indexed: 02/01/2023]
Abstract
Type 1 diabetes (T1D) is an irreversible degenerative disease with severe complications such as heart disease, nephropathy, neuropathy, and retinopathy. Although exogenous insulin administration is a life-saving therapy, it does not cure the disease. This review addresses the epigenetic mechanisms responsible for the development of T1D and discusses epigenetic-based strategies for prevention and treatment of the disease. We describe novel epigenetic biomarkers for the identification of susceptible individuals and the establishment of innovative therapies with epidrugs and cell therapy to regenerate the lost β-cells. Despite the wealth of promising data regarding the potential benefits of epigenetic tools to reduce the burden of T1D, clinical trials are still very few, and this issue needs to be resolved in the near future.
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Affiliation(s)
- Alberto Zullo
- Department of Sciences and Technologies, University of Sannio, Benevento, Italy; CEINGE-Advanced Biotechnologies, Naples, Italy
| | - Linda Sommese
- U.O.C. Clinical Immunology, Immunohematology, Transfusion Medicine and Transplant Immunology, Regional Reference Laboratory of Transplant Immunology, Department of Internal and Specialty Medicine, Azienda Ospedaliera Universitaria, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
| | - Gianfranco Nicoletti
- Multidisciplinary Department of Medical-Surgical and Dental Specialties, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy
| | - Francesco Donatelli
- Cardiovascular Department, Chair of Cardiosurgery, University of Milan, Milan, Italy
| | - Francesco P Mancini
- Department of Sciences and Technologies, University of Sannio, Benevento, Italy
| | - Claudio Napoli
- Department of Medical, Surgical, Neurological, Metabolic and Geriatric Sciences, Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy; IRCCS SDN, Naples, Italy
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39
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Kowalewicz-Kulbat M, Locht C. BCG and protection against inflammatory and auto-immune diseases. Expert Rev Vaccines 2017; 16:1-10. [PMID: 28532186 DOI: 10.1080/14760584.2017.1333906] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Bacillus Calmette-Guérin (BCG) is the only available vaccine against tuberculosis. Although its protective efficacy against pulmonary tuberculosis is still under debate, it provides protection against other mycobacterial diseases. BCG is also an effective therapy against superficial bladder cancer and potentially decreases overall childhood mortality. Areas covered: The purpose of this paper is to provide a state-of-the-art summary of the beneficial effects of BCG in inflammatory and auto-immune diseases. As a strong inducer of Th1 type immunity, BCG has been reported to protect against atopic conditions, such as allergic asthma, a Th2-driven disorder. Its protective effect has been well documented in mice, but still awaits definitive evidence in humans. Similarly, murine studies have shown a protective effect of BCG against auto-immune diseases, such as multiple sclerosis and insulin-dependent diabetes, but studies in humans have come to conflicting conclusions. Expert commentary: Studies in mice have shown a beneficial effect of the BCG vaccine against allergic asthma, multiple sclerosis and diabetes. However, the understanding of its mechanism is still fragmentary and requires further in depth research. Some observational or intervention studies in humans have also suggested a beneficial effect, but definitive evidence for this requires confirmation in carefully conducted prospective studies.
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Affiliation(s)
- Magdalena Kowalewicz-Kulbat
- a Department of Immunology and Infectious Biology, Institute of Microbiology, Biotechnology and Immunology , University of Lodz , Lodz , Poland
| | - Camille Locht
- a Department of Immunology and Infectious Biology, Institute of Microbiology, Biotechnology and Immunology , University of Lodz , Lodz , Poland.,b Center for Infection and Immunity of Lille , Institut Pasteur de Lille , Lille , France.,c Center for Infection and Immunity of Lille , Inserm U1019 , Lille , France.,d Center for Infection and Immunity of Lille , CNRS UMR 8204 , Lille , France.,e Center for Infection and Immunity of Lille , Université Lille Nord de France , Lille , France
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40
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Ihara K, Fukano C, Ayabe T, Fukami M, Ogata T, Kawamura T, Urakami T, Kikuchi N, Yokota I, Takemoto K, Mukai T, Nishii A, Kikuchi T, Mori T, Shimura N, Sasaki G, Kizu R, Takubo N, Soneda S, Fujisawa T, Takaya R, Kizaki Z, Kanzaki S, Hanaki K, Matsuura N, Kasahara Y, Kosaka K, Takahashi T, Minamitani K, Matsuo S, Mochizuki H, Kobayashi K, Koike A, Horikawa R, Teno S, Tsubouchi K, Mochizuki T, Igarashi Y, Amemiya S, Sugihara S. FUT2 non-secretor status is associated with Type 1 diabetes susceptibility in Japanese children. Diabet Med 2017; 34:586-589. [PMID: 27859559 DOI: 10.1111/dme.13288] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/15/2016] [Indexed: 01/04/2023]
Abstract
AIM To examine the contribution of the FUT2 gene and ABO blood type to the development of Type 1 diabetes in Japanese children. METHODS We analysed FUT2 variants and ABO genotypes in a total of 531 Japanese children diagnosed with Type 1 diabetes and 448 control subjects. The possible association of FUT2 variants and ABO genotypes with the onset of Type 1 diabetes was statistically examined. RESULTS The se2 genotype (c.385A>T) of the FUT2 gene was found to confer susceptibility to Type 1A diabetes in a recessive effects model [odds ratio for se2/se2, 1.68 (95% CI 1.20-2.35); corrected P value = 0.0075]. CONCLUSIONS The FUT2 gene contributed to the development of Type 1 diabetes in the present cohort of Japanese children.
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Affiliation(s)
- K Ihara
- Department of Paediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Paediatrics, Oita University School of Medicine, Yufu, Japan
| | - C Fukano
- Department of Paediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - T Ayabe
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - M Fukami
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - T Ogata
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan
- Department of Paediatrics, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - T Kawamura
- Department of Paediatrics, Osaka City University Hospital, Osaka, Japan
| | - T Urakami
- Department of Paediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan
| | - N Kikuchi
- Department of Paediatrics, Yokohama City Minato Red Cross Hospital, Yokohama, Japan
| | - I Yokota
- Department of Clinical Laboratory, Shikoku Medical Center for Children and Adults, Zentsuji, Japan
- Department of Paediatrics, Graduate School of Medical Sciences Tokushima University, Tokushima, Japan
| | - K Takemoto
- Department of Paediatrics, Ehime University Hospital, Toon, Japan
- Department of Paediatrics, Sumitomo Besshi Hospital, Niihama, Japan
| | - T Mukai
- Department of Paediatrics, Asahikawa Medical University Hospital, Asahikawa, Japan
- Department of Paediatrics, Asahikawa-Kosei General Hospital, Asahikawa, Japan
| | - A Nishii
- Department of Paediatrics, JR Sendai Hospital, Sendai, Japan
| | - T Kikuchi
- Department of Paediatrics, Saitama Medical University Hospital, Saitama, Japan
- Department of Paediatrics, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - T Mori
- Department of Paediatrics, Nagano Red Cross Hospital, Nagano, Japan
- Department of Paediatrics, Shinshu Ueda Medical Centre, Ueda, Japan
| | - N Shimura
- Department of Paediatrics, Dokkyo Medical University Hospital, Shimotsuga, Japan
| | - G Sasaki
- Department of Paediatrics, Tokyo Dental College Ichikawa General Hospital, Ichikawa, Japan
| | - R Kizu
- Department of Paediatrics, Yokosuka Kyosai Hospital, Yokosuka, Japan
| | - N Takubo
- Department of Pediatrics, Kitasato University Hospital, Sagamihara, Japan
- Department of Paediatrics and Adolescent Medicine, Juntendo University School of Medicine, Tokyo, Japan
| | - S Soneda
- Department of Paediatrics, St Marianna University School of Medicine, Kawasaki, Japan
| | - T Fujisawa
- Department of Paediatrics, National Mie Hospital, Tsu, Japan
| | - R Takaya
- Department of Paediatrics, Osaka Medical College, Takatsuki, Japan
| | - Z Kizaki
- Department of Paediatrics, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan
| | - S Kanzaki
- Department of Paediatrics, Tottori University Faculty of Medicine, Yonago, Japan
| | - K Hanaki
- Department of Paediatrics, Tottori Prefectural Kousei Hospital, Kurayoshi, Japan
| | - N Matsuura
- Department of Paediatrics, Teine Keijinkai Hospital, Sapporo, Japan
- Department of Early Childhood Care and Education, Seitoku University Junior College, Matsudo, Japan
| | - Y Kasahara
- Department of Paediatrics, Kanazawa University, Kanazawa, Japan
| | - K Kosaka
- Department of Paediatrics, University Hospital, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | | | - K Minamitani
- Department of Paediatrics, Teikyo University Chiba Medical Center, Ichihara, Japan
| | - S Matsuo
- Matsuo Kodomo Clinic, Kyoto, Japan
| | - H Mochizuki
- Department of Metabolism and Endocrinology, Saitama Children's Medical Centre, Saitama, Japan
| | - K Kobayashi
- Department of Paediatrics, University of Yamanashi Hospital, Chuo, Japan
| | - A Koike
- Miyanosawa Koike Child Clinic, Sapporo, Japan
| | - R Horikawa
- Division of Endocrinology and Metabolism, Department of Medical Subspecialties, National Medical Centre for Children and Mothers, Tokyo, Japan
| | - S Teno
- Teno Clinic, Izumo, Japan
| | - K Tsubouchi
- Department of Paediatrics, Chuno Kosei Hospital, Seki, Japan
| | - T Mochizuki
- Department of Paediatrics, Osaka City General Hospital, Osaka, Japan
- Department of Paediatrics, Osaka Police Hospital, Osaka, Japan
| | - Y Igarashi
- Igarashi Children's Clinic, Sendai, Japan
| | - S Amemiya
- Department of Paediatrics, Saitama Medical University Hospital, Saitama, Japan
| | - S Sugihara
- Department of Paediatrics, Tokyo Women's Medical University Medical Centre East, Tokyo, Japan
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41
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Zheng Y, Wang Z, Zhou Z. miRNAs: novel regulators of autoimmunity-mediated pancreatic β-cell destruction in type 1 diabetes. Cell Mol Immunol 2017; 14:488-496. [PMID: 28317889 DOI: 10.1038/cmi.2017.7] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 01/06/2017] [Accepted: 01/06/2017] [Indexed: 02/08/2023] Open
Abstract
MicroRNAs (miRNAs) are a series of conserved, short, non-coding RNAs that modulate gene expression in a posttranscriptional manner. miRNAs are involved in almost every physiological and pathological process. Type 1 diabetes (T1D) is an autoimmune disease that is the result of selective destruction of pancreatic β-cells driven by the immune system. miRNAs are also important participants in T1D pathogenesis. Herein, we review the most recent data on the potential involvement of miRNAs in T1D. Specifically, we focus on two aspects: the roles of miRNAs in maintaining immune homeostasis and regulating β-cell survival and/or functions in T1D. We also discuss circulating miRNAs as potent biomarkers for the diagnosis and prediction of T1D and investigate potential therapeutic approaches for this disease.
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Affiliation(s)
- Ying Zheng
- Center for Medical Research, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Zhen Wang
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.,Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Central South University, Changsha, Hunan 410011, China
| | - Zhiguang Zhou
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.,Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Central South University, Changsha, Hunan 410011, China
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42
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McManus DD, Rong J, Huan T, Lacey S, Tanriverdi K, Munson PJ, Larson MG, Joehanes R, Murthy V, Shah R, Freedman JE, Levy D. Messenger RNA and MicroRNA transcriptomic signatures of cardiometabolic risk factors. BMC Genomics 2017; 18:139. [PMID: 28178938 PMCID: PMC5299677 DOI: 10.1186/s12864-017-3533-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Accepted: 02/01/2017] [Indexed: 02/04/2023] Open
Abstract
Background Cardiometabolic (CM) risk factors are heritable and cluster in individuals. We hypothesized that CM risk factors are associated with multiple shared and unique mRNA and microRNA (miRNA) signatures. We examined associations of mRNA and miRNA levels with 6 CM traits: body mass index, HDL-cholesterol and triglycerides, fasting glucose, and systolic and diastolic blood pressures through cross-sectional analysis of 2812 Framingham Heart Study who had whole blood collection for RNA isolation for mRNA and miRNA expression studies and who consented to genetic research. We excluded participants taking medication for hypertension, dyslipidemia, or diabetes. We measured mRNA (n = 17,318; using the Affymetrix GeneChip Human Exon 1.0 ST Array) and miRNA (n = 315; using qRT-PCR) expression in whole blood. We used linear regression for mRNA analyses and a combination of linear and logistic regression for miRNA analyses. We conducted miRNA-mRNA coexpression and gene ontology enrichment analyses to explore relations between pleiotropic miRNAs, mRNA expression, and CM trait clustering. Results We identified hundreds of significant associations between mRNAs, miRNAs, and individual CM traits. Four mRNAs (FAM13A, CSF2RB, HIST1H2AC, WNK1) were associated with all 6 CM traits (FDR < 0.001) and four miRNAs (miR-197-3p, miR-328, miR-505-5p, miR-145-5p) were associated with four CM traits (FDR < 0.05). Twelve mRNAs, including WNK1, that were coexpressed with the four most pleiotropic miRNAs, were also miRNA targets. mRNAs coexpressed with pleiotropic miRNAs were enriched for RNA metabolism (miR-505-5p), ubiquitin-dependent protein catabolism (miR-197-3p, miR-328) and chromatin assembly (miR-328). Conclusions We identified mRNA and miRNA signatures of individual CM traits and their clustering. Implicated transcripts may play causal roles in CM risk or be downstream consequences of CM risk factors on the transcriptome. Studies are needed to establish whether or not pleiotropic circulating transcripts illuminate causal pathways for CM risk. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3533-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- David D McManus
- Cardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA. .,National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA. .,Epidemiology Division, Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA. .,, 55 Lake Avenue North, Worcester, MA, 01655, USA.
| | - Jian Rong
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,Neurology Division, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Tianxiao Huan
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.,Population Sciences Branch and Division of Intramural Research, National Heart, Lung, and Blood Institute of the National Institutes of Health, Bethesda, MA, USA
| | - Sean Lacey
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Kahraman Tanriverdi
- Cardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Peter J Munson
- Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | - Martin G Larson
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,Department of Mathematics and Statistics, Boston University, Boston, MA, USA
| | - Roby Joehanes
- Population Sciences Branch and Division of Intramural Research, National Heart, Lung, and Blood Institute of the National Institutes of Health, Bethesda, MA, USA.,Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA.,Hebrew SeniorLife, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Venkatesh Murthy
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Ravi Shah
- Cardiology Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Jane E Freedman
- Cardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Daniel Levy
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA.,Population Sciences Branch and Division of Intramural Research, National Heart, Lung, and Blood Institute of the National Institutes of Health, Bethesda, MA, USA
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43
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Skyler JS, Bakris GL, Bonifacio E, Darsow T, Eckel RH, Groop L, Groop PH, Handelsman Y, Insel RA, Mathieu C, McElvaine AT, Palmer JP, Pugliese A, Schatz DA, Sosenko JM, Wilding JPH, Ratner RE. Differentiation of Diabetes by Pathophysiology, Natural History, and Prognosis. Diabetes 2017; 66:241-255. [PMID: 27980006 PMCID: PMC5384660 DOI: 10.2337/db16-0806] [Citation(s) in RCA: 338] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 11/23/2016] [Indexed: 12/11/2022]
Abstract
The American Diabetes Association, JDRF, the European Association for the Study of Diabetes, and the American Association of Clinical Endocrinologists convened a research symposium, "The Differentiation of Diabetes by Pathophysiology, Natural History and Prognosis" on 10-12 October 2015. International experts in genetics, immunology, metabolism, endocrinology, and systems biology discussed genetic and environmental determinants of type 1 and type 2 diabetes risk and progression, as well as complications. The participants debated how to determine appropriate therapeutic approaches based on disease pathophysiology and stage and defined remaining research gaps hindering a personalized medical approach for diabetes to drive the field to address these gaps. The authors recommend a structure for data stratification to define the phenotypes and genotypes of subtypes of diabetes that will facilitate individualized treatment.
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Affiliation(s)
- Jay S Skyler
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | | | | | | | - Robert H Eckel
- University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Leif Groop
- Lund University, Skåne University Hospital, Malmö, Sweden
| | - Per-Henrik Groop
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | | | | | | | | | - Jerry P Palmer
- University of Washington and VA Puget Sound Health Care System, Seattle, WA
| | - Alberto Pugliese
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | | | - Jay M Sosenko
- University of Miami Miller School of Medicine, Miami, FL
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44
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Charney E. Genes, behavior, and behavior genetics. WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2016; 8. [PMID: 27906529 DOI: 10.1002/wcs.1405] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 06/16/2016] [Accepted: 06/20/2016] [Indexed: 12/27/2022]
Abstract
According to the 'first law' of behavior genetics, 'All human behavioral traits are heritable.' Accepting the validity of this first law and employing statistical methods, researchers within psychology, sociology, political science, economics, and business claim to have demonstrated that all the behaviors studied by their disciplines are heritable-no matter how culturally specific these behaviors appear to be. Further, in many cases they claim to have identified specific genes that play a role in those behaviors. The validity of behavior genetics as a discipline depends upon the validity of the research methods used to justify such claims. It also depends, foundationally, upon certain key assumptions concerning the relationship between genotype (one's specific DNA sequences) and phenotype (any and all observable traits or characteristics). In this article, I examine-and find serious flaws with-both the methodologies of behavior genetics and the underlying assumptions concerning the genotype-phenotype relationship. WIREs Cogn Sci 2017, 8:e1405. doi: 10.1002/wcs.1405 For further resources related to this article, please visit the WIREs website.
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Affiliation(s)
- Evan Charney
- Sanford School of Public Policy, Duke Center for Brain Sciences, Duke University, Durham, NC, USA
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45
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46
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Hargreave M, Kjaer SK, Jørgensen ME, Jensen A. Type 1 diabetes risk in children born to women with fertility problems: a cohort study in 1.5 million Danish children. Acta Obstet Gynecol Scand 2016; 95:1441-1446. [DOI: 10.1111/aogs.13028] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 09/22/2016] [Indexed: 01/20/2023]
Affiliation(s)
- Marie Hargreave
- Virus, Lifestyle and Genes; Danish Cancer Society Research Center; Copenhagen Denmark
| | - Susanne K. Kjaer
- Virus, Lifestyle and Genes; Danish Cancer Society Research Center; Copenhagen Denmark
- Department of Gynecology; Rigshospitalet University Hospital; University of Copenhagen; Copenhagen Denmark
| | - Marit E. Jørgensen
- Clinical Epidemiology; Steno Diabetes Center; Gentofte Denmark
- National Institute of Public Health; University of Southern Denmark; Odense Denmark
| | - Allan Jensen
- Virus, Lifestyle and Genes; Danish Cancer Society Research Center; Copenhagen Denmark
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Aldawsari FS, Aguayo-Ortiz R, Kapilashrami K, Yoo J, Luo M, Medina-Franco JL, Velázquez-Martínez CA. Resveratrol-salicylate derivatives as selective DNMT3 inhibitors and anticancer agents. J Enzyme Inhib Med Chem 2016; 31:695-703. [PMID: 26118420 PMCID: PMC4828318 DOI: 10.3109/14756366.2015.1058256] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Accepted: 05/22/2015] [Indexed: 12/30/2022] Open
Abstract
Resveratrol is a natural polyphenol with plethora of biological activities. Resveratrol has previously shown to decrease DNA-methyltransferase (DNMT) enzymes expression and to reactivate silenced tumor suppressor genes. Currently, it seems that no resveratrol analogs have been developed as DNMT inhibitors. Recently, we reported the synthesis of resveratrol-salicylate derivatives and by examining the chemical structure of these analogs, we proposed that these compounds could exhibit DNMT inhibition especially that they resembled NSC 14778, a compound we previously identified as a DNMT inhibitor by virtual screening. Indeed, using in vitro DNMT inhibition assay, some of the resveratrol-salicylate analogs we screened in this work that showed selective inhibition against DNMT3 enzymes which were greater than resveratrol. A molecular docking study revealed key binding interactions with DNMT3A and DNMT3B enzymes. In addition, the most active analog, 10 showed considerable cytotoxicity against three human cancer cells; HT-29, HepG2 and SK-BR-3, which was greater than resveratrol. Further studies are needed to understand the anticancer mechanisms of these derivatives.
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Affiliation(s)
- Fahad S. Aldawsari
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Rodrigo Aguayo-Ortiz
- Facultad de Química, Departamento de Farmacia, Universidad Nacional Autónoma de México, México City, México
| | - Kanishk Kapilashrami
- Molecular Pharmacology and Chemistry Program, Memorial Sloan-Kettering Cancer Center, New York, N.Y., USA
| | - Jakyung Yoo
- Life Science Research Institute, Daewoong Pharmaceutical Co., Ltd, Pogok-Eup, Republic of Korea
| | - Minkui Luo
- Molecular Pharmacology and Chemistry Program, Memorial Sloan-Kettering Cancer Center, New York, N.Y., USA
| | - José L. Medina-Franco
- Facultad de Química, Departamento de Farmacia, Universidad Nacional Autónoma de México, México City, México
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Zou S, Song P, Meng H, Chen T, Chen J, Wen Z, Li Z, Li Z, Shi Y, Hu H. Association and meta-analysis of HLA and non-obstructive azoospermia in the Han Chinese population. Andrologia 2016; 49. [PMID: 27597543 DOI: 10.1111/and.12600] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2016] [Indexed: 11/29/2022] Open
Abstract
The exact aetiology and pathogenesis of most non-obstructive azoospermia (NOA) are still unknown. The previous two genomewide association studies (GWASs) have identified three different loci within the HLA region for NOA in the Han Chinese population, including rs3129878, rs498422 and rs7194. To further validate the risk of three GWAS-linked loci for NOA, we conducted a case-control study of these three risk loci in an independent Han Chinese male population, with 603 NOA patients and 610 controls. Furthermore, we also performed a meta-analysis of five studies on these three NOA-risk loci. The case-control study strongly suggested a significant association between loci rs3129878, rs498422 and rs7194 and NOA (P = 6.75 × 10-21 (OR = 2.2586), P = 0.0060 (OR = 1.4013) and P = 0.0128 (OR = 1.2626) respectively). Our meta-analyses also supported the susceptibility of these three risk loci to NOA (P < 0.01). The risk variants within the HLA region potentially have a strong effect on males at risk of NOA, and may serve as diagnostic markers for male infertility. However, considering genetic difference between different populations, future validating studies in larger independent samples and animal experiments are suggested.
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Affiliation(s)
- S Zou
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
| | - P Song
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
| | - H Meng
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
| | - T Chen
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
| | - J Chen
- BIO-X Center, Shanghai Jiao Tong University, Shanghai, China
| | - Z Wen
- BIO-X Center, Shanghai Jiao Tong University, Shanghai, China
| | - Z Li
- BIO-X Center, Shanghai Jiao Tong University, Shanghai, China
| | - Z Li
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
| | - Y Shi
- BIO-X Center, Shanghai Jiao Tong University, Shanghai, China
| | - H Hu
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
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49
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50
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Spaans EAJM, van Dijk PR, Groenier KH, Brand PLP, Reeser MH, Bilo HJG, Kleefstra N. Seasonality of diagnosis of type 1 diabetes mellitus in the Netherlands (Young Dudes-2). J Pediatr Endocrinol Metab 2016; 29:657-61. [PMID: 27008693 DOI: 10.1515/jpem-2015-0435] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 01/18/2016] [Indexed: 11/15/2022]
Abstract
BACKGROUND The aim of this study was to investigate seasonality in the initial presentation of type 1 diabetes mellitus (T1DM) among Dutch children. METHODS Observational, nationwide study in the Netherlands. Using the national registry for both healthcare reimbursement and pharmaceutical care, data of all Dutch children (aged 0-14 years) with a diagnosis of T1DM in the period 2009-2011 were obtained. RESULTS During the study period (2009-2011) an average annual number of 2.909.537 children aged 0-14 lived in the Netherlands and 676 children were diagnosed with T1DM per year, translating into an annual incidence rate (IR) of T1DM of 23.2 per hundred thousand children (ptc). The annual IR differed significantly (p=0.03) between seasons: 6.4 ptc in winter, 4.9 ptc in spring, 5.4 ptc in summer and 6.6 ptc in autumn. This pattern was present within both boys and girls Conclusions: Among Dutch children aged 0-14 years, there is seasonality in the of T1DM with a peak incidence in autumn and winter.
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