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Nóvoa-Medina Y, Marcelino-Rodriguez I, Suárez NM, Barreiro-Bautista M, Rivas-García E, Sánchez-Alonso S, González-Martínez G, Quinteiro-González S, Domínguez Á, Cabrera M, López S, Pavlovic S, Flores C, Wägner AM. Does HLA explain the high incidence of childhood-onset type 1 diabetes in the Canary Islands? The role of Asp57 DQB1 molecules. BMC Pediatr 2024; 24:569. [PMID: 39243072 PMCID: PMC11378579 DOI: 10.1186/s12887-024-04983-w] [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: 03/16/2024] [Accepted: 07/29/2024] [Indexed: 09/09/2024] Open
Abstract
The Canary Islands inhabitants, a recently admixed population with significant North African genetic influence, has the highest incidence of childhood-onset type 1 diabetes (T1D) in Spain and one of the highest in Europe. HLA accounts for half of the genetic risk of T1D. AIMS To characterize the classical HLA-DRB1 and HLA-DQB1 alleles in children from Gran Canaria with and without T1D. METHODS We analyzed classic HLA-DRB1 and HLA-DQB1 alleles in childhood-onset T1D patients (n = 309) and control children without T1D (n = 222) from the island of Gran Canaria. We also analyzed the presence or absence of aspartic acid at position 57 in the HLA-DQB1 gene and arginine at position 52 in the HLA-DQA1 gene. Genotyping of classical HLA-DQB1 and HLA-DRB1 alleles was performed at two-digit resolution using Luminex technology. The chi-square test (or Fisher's exact test) and odds ratio (OR) were computed to assess differences in allele and genotype frequencies between patients and controls. Logistic regression analysis was also used. RESULTS Mean age at diagnosis of T1D was 7.4 ± 3.6 years (46% female). Mean age of the controls was 7.6 ± 1.1 years (55% female). DRB1*03 (OR = 4.2; p = 2.13-13), DRB1*04 (OR = 6.6; p ≤ 2.00-16), DRB1* 07 (OR = 0.37; p = 9.73-06), DRB1*11 (OR = 0.17; p = 6.72-09), DRB1*12, DRB1*13 (OR = 0.38; p = 1.21-05), DRB1*14 (OR = 0.0; p = 0.0024), DRB1*15 (OR = 0.13; p = 7.78-07) and DRB1*16 (OR = 0.21; p = 0.003) exhibited significant differences in frequency between groups. Among the DQB1* alleles, DQB1*02 (OR: 2.3; p = 5.13-06), DQB1*03 (OR = 1.7; p = 1.89-03), DQB1*05 (OR = 0.64; p = 0.027) and DQB1*06 (OR = 0.19; p = 6.25-14) exhibited significant differences. A total of 58% of the studied HLA-DQB1 genes in our control population lacked aspartic acid at position 57. CONCLUSIONS In this population, the overall distributions of the HLA-DRB1 and HLA-DQB1 alleles are similar to those in other European populations. However, the frequency of the non-Asp-57 HLA-DQB1 molecules is greater than that in other populations with a lower incidence of T1D. Based on genetic, historical and epidemiological data, we propose that a common genetic background might help explain the elevated pediatric T1D incidence in the Canary Islands, North-Africa and middle eastern countries.
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Affiliation(s)
- Yeray Nóvoa-Medina
- Unidad de Endocrinología Pediátrica, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
- Asociación Canaria para la Investigación Pediátrica (ACIP canarias), Las Palmas, Spain.
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias de la Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
| | - Itahisa Marcelino-Rodriguez
- Preventive Medicine and Public Health Area, University of La Laguna, Santa Cruz de Tenerife, Spain
- Institute of Biomedical Technologies, University of La Laguna, Santa Cruz de Tenerife, Spain
| | - Nicolás M Suárez
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias de la Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Marta Barreiro-Bautista
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias de la Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Eva Rivas-García
- Servicio de Inmunología, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Santiago Sánchez-Alonso
- Servicio de Inmunología, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Gema González-Martínez
- Servicio de Inmunología, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Sofía Quinteiro-González
- Unidad de Endocrinología Pediátrica, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Ángela Domínguez
- Unidad de Endocrinología Pediátrica, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - María Cabrera
- Unidad de Endocrinología Pediátrica, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Sara López
- Unidad de Endocrinología Pediátrica, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Svetlana Pavlovic
- Servicio de Pediatría Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Carlos Flores
- Institute of Biomedical Technologies, University of La Laguna, Santa Cruz de Tenerife, Spain
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Facultad de Ciencias de la Salud, Universidad Fernando de Pessoa Canarias, Las Palmas de Gran Canaria, Spain
| | - Ana M Wägner
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias de la Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
- Servicio de Endocrinología y Nutrición, Complejo Hospitalario Universitario Insular Materno Infantil de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
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2
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Andolina C, Ramjith J, Rek J, Lanke K, Okoth J, Grignard L, Arinaitwe E, Briggs J, Bailey J, Aydemir O, Kamya MR, Greenhouse B, Dorsey G, Staedke SG, Drakeley C, Jonker M, Bousema T. Plasmodium falciparum gametocyte carriage in longitudinally monitored incident infections is associated with duration of infection and human host factors. Sci Rep 2023; 13:7072. [PMID: 37127688 PMCID: PMC10150352 DOI: 10.1038/s41598-023-33657-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 04/17/2023] [Indexed: 05/03/2023] Open
Abstract
Malaria transmission depends on the presence of Plasmodium gametocytes that are the only parasite life stage that can infect mosquitoes. Gametocyte production varies between infections and over the course of infections. Infection duration is highly important for gametocyte production but poorly quantified. Between 2017 and 2019 an all-age cohort of individuals from Tororo, eastern Uganda was followed by continuous passive and routine assessments. We longitudinally monitored 104 incident infections from 98 individuals who were sampled once every 28 days and on any day of symptoms. Among infections that lasted ≥ 3 months, gametocyte appearance was near-universal with 96% of infections having detectable gametocytes prior to clearance. However, most infections were of much shorter duration; 55.7% of asymptomatic infections were detected only once. When considering all asymptomatic infections, regardless of their duration, only 36.3% had detectable gametocytes on at least one time-point prior to parasite clearance. Infections in individuals with sickle-cell trait (HbAS) were more likely to have gametocytes detected (Hazard Rate (HR) = 2.68, 95% CI 1.12, 6.38; p = 0.0231) and had gametocytes detected at higher densities (Density Ratio (DR) = 9.19, 95% CI 2.79, 30.23; p = 0.0002) compared to infections in wildtype (HbAA) individuals. Our findings suggest that a large proportion of incident infections is too short in duration and of too low density to contribute to onward transmission.
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Affiliation(s)
- Chiara Andolina
- Department of Medical Microbiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Jordache Ramjith
- Department of Medical Microbiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
- Department for Health Evidence, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - John Rek
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Kjerstin Lanke
- Department of Medical Microbiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Joseph Okoth
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Lynn Grignard
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Jessica Briggs
- Department of Medicine, San Francisco General Hospital, University of California, San Francisco, USA
| | - Jeffrey Bailey
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Ozkan Aydemir
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Moses R Kamya
- Infectious Diseases Research Collaboration, Kampala, Uganda
- Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Bryan Greenhouse
- Department of Medicine, San Francisco General Hospital, University of California, San Francisco, USA
| | - Grant Dorsey
- Department of Medicine, San Francisco General Hospital, University of California, San Francisco, USA
| | - Sarah G Staedke
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK
| | - Chris Drakeley
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK
| | - Marianne Jonker
- Department for Health Evidence, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Teun Bousema
- Department of Medical Microbiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK.
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3
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Yang Z, Li S, Liu H, Su Q, Li X, Qiu Y, Mo W. Identification of key genes and pathways associated with diabetes of the exocrine pancreas. Medicine (Baltimore) 2022; 101:e29781. [PMID: 36042664 PMCID: PMC9410602 DOI: 10.1097/md.0000000000029781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 05/24/2022] [Accepted: 05/25/2022] [Indexed: 11/27/2022] Open
Abstract
This study aimed to identify potential essential genes and pathways in diabetes of the exocrine pancreas (DEP) and explore possible molecular mechanisms. The array dataset GSE76895 was downloaded from the Gene Expression Omnibus database. Pancreatic tissue samples from 20 Diabetes of the exocrine pancreas and 32 nondiabetic individuals were selected for analysis. GEO2R analyzed differentially expressed genes (DEGs) in the 2 groups. Gene ontology annotation, Kyoto Encyclopedia of Genes Genomes and Reactome pathway enrichment analyses and Gene Set Enrichment Analysis were performed in this study. Protein-protein interaction (PPI) networks were constructed using Cytoscape software, and core networks were identified using MCODE plugins. A total of 62 genes, including 59 up-regulated and 3 down-regulated genes, were differentially expressed in DEP samples compared with nondiabetic patients. PPI network with 53 nodes and 138 edges was established. HLA-DRA is identified as the central gene of the PPI network and maybe a marker gene for DEP. Furthermore, up-regulated DEGs are mainly enriched in pathways related to the immune system and infection. The results of this study suggest that HLA-DRA and immune system pathways may play essential roles in DEP.
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Affiliation(s)
- Zheng Yang
- Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Shengqi Li
- Department of Medicine, Guangxi Medical College, Nanning, Guangxi, China
| | - Huaying Liu
- Department of Medicine, Guangxi Medical College, Nanning, Guangxi, China
| | - Qisheng Su
- Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiaohong Li
- Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Yulin Qiu
- Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Wuning Mo
- Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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Topazian HM, Moser KA, Ngasala B, Oluoch PO, Forconi CS, Mhamilawa LE, Aydemir O, Kharabora O, Deutsch-Feldman M, Read AF, Denton M, Lorenzo A, Mideo N, Ogutu B, Moormann AM, Mårtensson A, Odwar B, Bailey JA, Akala H, Ong'echa JM, Juliano JJ. Low Complexity of Infection Is Associated With Molecular Persistence of Plasmodium falciparum in Kenya and Tanzania. FRONTIERS IN EPIDEMIOLOGY 2022; 2:852237. [PMID: 38455314 PMCID: PMC10910917 DOI: 10.3389/fepid.2022.852237] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 05/06/2022] [Indexed: 03/09/2024]
Abstract
Background Plasmodium falciparum resistance to artemisinin-based combination therapies (ACTs) is a threat to malaria elimination. ACT-resistance in Asia raises concerns for emergence of resistance in Africa. While most data show high efficacy of ACT regimens in Africa, there have been reports describing declining efficacy, as measured by both clinical failure and prolonged parasite clearance times. Methods Three hundred children aged 2-10 years with uncomplicated P. falciparum infection were enrolled in Kenya and Tanzania after receiving treatment with artemether-lumefantrine. Blood samples were taken at 0, 24, 48, and 72 h, and weekly thereafter until 28 days post-treatment. Parasite and host genetics were assessed, as well as clinical, behavioral, and environmental characteristics, and host anti-malarial serologic response. Results While there was a broad range of clearance rates at both sites, 85% and 96% of Kenyan and Tanzanian samples, respectively, were qPCR-positive but microscopy-negative at 72 h post-treatment. A greater complexity of infection (COI) was negatively associated with qPCR-detectable parasitemia at 72 h (OR: 0.70, 95% CI: 0.53-0.94), and a greater baseline parasitemia was marginally associated with qPCR-detectable parasitemia (1,000 parasites/uL change, OR: 1.02, 95% CI: 1.01-1.03). Demographic, serological, and host genotyping characteristics showed no association with qPCR-detectable parasitemia at 72 h. Parasite haplotype-specific clearance slopes were grouped around the mean with no association detected between specific haplotypes and slower clearance rates. Conclusions Identifying risk factors for slow clearing P. falciparum infections, such as COI, are essential for ongoing surveillance of ACT treatment failure in Kenya, Tanzania, and more broadly in sub-Saharan Africa.
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Affiliation(s)
- Hillary M. Topazian
- Department of Infectious Disease Epidemiology, Imperial College, London, United Kingdom
| | - Kara A. Moser
- Institute for Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, NC, United States
| | - Billy Ngasala
- Department of Parasitology and Medical Entomology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Peter O. Oluoch
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
- Center for Global Health Research, Kenyan Medical Research Institute, Kisumu, Kenya
| | - Catherine S. Forconi
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Lwidiko E. Mhamilawa
- Department of Parasitology and Medical Entomology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Department of Women's and Children's Health, International Maternal and Child Health, Uppsala University, Uppsala, Sweden
| | - Ozkan Aydemir
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, United States
| | - Oksana Kharabora
- Institute for Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, NC, United States
| | - Molly Deutsch-Feldman
- Department of Epidemiology, Gillings School of Global Public Health, Chapel Hill, NC, United States
| | - Andrew F. Read
- Department of Entomology, Penn State University, University Park, PA, United States
| | - Madeline Denton
- Institute for Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, NC, United States
| | - Antonio Lorenzo
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Nicole Mideo
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Bernhards Ogutu
- Center for Global Health Research, Kenyan Medical Research Institute, Kisumu, Kenya
| | - Ann M. Moormann
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Andreas Mårtensson
- Department of Women's and Children's Health, International Maternal and Child Health, Uppsala University, Uppsala, Sweden
| | - Boaz Odwar
- Center for Global Health Research, Kenyan Medical Research Institute, Kisumu, Kenya
| | - Jeffrey A. Bailey
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, United States
| | - Hoseah Akala
- Center for Global Health Research, Kenyan Medical Research Institute, Kisumu, Kenya
| | | | - Jonathan J. Juliano
- Institute for Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, NC, United States
- Department of Epidemiology, Gillings School of Global Public Health, Chapel Hill, NC, United States
- Division of Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina, Chapel Hill, NC, United States
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5
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Integrated Analysis of Multiple Microarray Studies to Identify Core Gene-Expression Signatures Involved in Tubulointerstitial Injury in Diabetic Nephropathy. BIOMED RESEARCH INTERNATIONAL 2022; 2022:9554658. [PMID: 35592524 PMCID: PMC9113875 DOI: 10.1155/2022/9554658] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/11/2022] [Accepted: 04/23/2022] [Indexed: 11/18/2022]
Abstract
Diabetic nephropathy is a leading cause of end-stage renal disease in both developed and developing countries. It is lack of specific diagnosis, and the pathogenesis remains unclarified in diabetic nephropathy, following the unsatisfactory effects of existing treatments. Therefore, it is very meaningful to find biomarkers with high specificity and potential targets. Two datasets, GSE30529 and GSE47184 from GEO based on diabetic nephropathy tubular samples, were downloaded and merged after batch effect removal. A total of 545 different expression genes screened with
were weighted gene coexpression correlation network analysis, and green module and blue module were identified. The results of KEGG analyses both in green module and GSEA analysis showed the same two enriched pathway, focal adhesion and viral myocarditis. Based on the intersection among WGCNA focal adhesion/Viral myocarditis, GSEA focal adhesion/viral myocarditis, and PPI network, 17 core genes, ACTN1, CAV1, PRKCB, PDGFRA, COL1A2, COL6A3, RHOA, VWF, FN1, HLA-F, HLA-DPB1, ITGB2, HLA-DRA, HLA-DMA, HLA-DPA1, HLA-B, and HLA-DMB, were identified as potential biomarkers in diabetic tubulointerstitial injury and were further validated externally for expression at GSE99325 and GSE104954 and clinical feature at nephroseq V5 online platform. CMap analysis suggested that two compounds, LY-294002 and bufexamac, may be new insights for therapeutics of diabetic tubulointerstitial injury. Conclusively, it was raised that a series of core genes may be as potential biomarkers for diagnosis and two prospective compounds.
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6
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Nygård L, Laine AP, Kiviniemi M, Toppari J, Härkönen T, Knip M, Veijola R, Lempainen J, Ilonen J. Tri-SNP polymorphism in the intron of HLA-DRA1 affects type 1 diabetes susceptibility in the Finnish population. Hum Immunol 2021; 82:912-916. [PMID: 34311991 DOI: 10.1016/j.humimm.2021.07.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/22/2021] [Accepted: 07/15/2021] [Indexed: 10/20/2022]
Abstract
Genes in the HLA class II region include the most important inherited risk factors for type 1 diabetes (T1D) although also polymorphisms outside the HLA region modulate the predisposition to T1D. This study set out to confirm a recent observation in which a novel expression quantitative trait locus was formed by three single nucleotide polymorphisms (SNP) in the intron of HLA-DRA1 in DR3-DQ2 haplotypes. The SNPs significantly increased the risk for T1D in DR3-DQ2 homozygous individuals and we intended to further explore this association, in the Finnish population, by comparing two DR3-DQ2 positive genotypes. Cohorts with DR3-DQ2/DR3-DQ2 (N = 570) and DR3-DQ2/DR1-DQ5 (N = 1035) genotypes were studied using TaqMan analysis that typed for rs3135394, rs9268645 and rs3129877. The tri-SNP haplotype was significantly more common in cases than controls in the DR3-DQ2/DR3-DQ2 cohort (OR = 1.70 CI 95% = 1.15-2.51P = 0.007). However, no significant associations could be observed in the DR3-DQ2/DR1-DQ5 cohort.
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Affiliation(s)
- Lucas Nygård
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland; Faculty of Science and Engineering, Cell Biology, Åbo Akademi, Turku, Finland
| | - Antti-Pekka Laine
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Minna Kiviniemi
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Jorma Toppari
- Department of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland; Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, and Centre for Population Health Research, University of Turku, Turku, Finland
| | - Taina Härkönen
- Children's Hospital, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Pediatric Research Center, Children's Hospital, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Mikael Knip
- Children's Hospital, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Pediatric Research Center, Children's Hospital, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Tampere Center for Child Health Research, Tampere University Hospital, Tampere, Finland; Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Riitta Veijola
- Department of Paediatrics, PEDEGO Research Unit, Medical Research Center, University of Oulu, Oulu, Finland
| | - Johanna Lempainen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland.
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7
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Abstract
Life is about timing. -Carl LewisThe understanding of autoimmune type 1 diabetes is increasing, and examining etiology separate from pathogenesis has become crucial. The components to explain type 1 diabetes development have been known for some time. The strong association with HLA has been researched for nearly 50 years. Genome-wide association studies added another 60+ non-HLA genetic factors with minor contribution to risk. Insulitis has long been known to be present close to clinical diagnosis. T and B cells recognizing β-cell autoantigens are detectable prior to diagnosis and in newly diagnosed patients. Islet autoantibody tests against four major autoantigens have been standardized and used as biomarkers of islet autoimmunity. However, to clarify the etiology would require attention to time. Etiology may be defined as the cause of a disease (i.e., type 1 diabetes) or abnormal condition (i.e., islet autoimmunity). Timing is everything, as neither the prodrome of islet autoimmunity nor the clinical onset of type 1 diabetes tells us much about the etiology. Rather, the islet autoantibody that appears first and persists would mark the diagnosis of an autoimmune islet disease (AID). Events after the diagnosis of AID would represent the pathogenesis. Several islet autoantibodies without (stage 1) or with impaired glucose tolerance (stage 2) or with symptoms (stage 3) would define the pathogenesis culminating in clinical type 1 diabetes. Etiology would be about the timing of events that take place before the first-appearing islet autoantibody.
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Affiliation(s)
- Åke Lernmark
- Department of Clinical Sciences, Lund University Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
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8
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Zhao LP, Papadopoulos GK, Kwok WW, Moustakas AK, Bondinas GP, Carlsson A, Elding Larsson H, Ludvigsson J, Marcus C, Samuelsson U, Wang R, Pyo CW, Nelson WC, Geraghty DE, Lernmark Å. Next-Generation HLA Sequence Analysis Uncovers Seven HLA-DQ Amino Acid Residues and Six Motifs Resistant to Childhood Type 1 Diabetes. Diabetes 2020; 69:2523-2535. [PMID: 32868339 PMCID: PMC7576571 DOI: 10.2337/db20-0374] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 08/24/2020] [Indexed: 12/12/2022]
Abstract
HLA-DQA1 and -DQB1 genes have significant and potentially causal associations with autoimmune type 1 diabetes (T1D). To follow up on the earlier analysis on high-risk HLA-DQ2.5 and DQ8.1, the current analysis uncovers seven residues (αa1, α157, α196, β9, β30, β57, and β70) that are resistant to T1D among subjects with DQ4-, 5-, 6-, and 7-resistant DQ haplotypes. These 7 residues form 13 common motifs: 6 motifs are significantly resistant, 6 motifs have modest or no associations (P values >0.05), and 1 motif has 7 copies observed among control subjects only. The motifs "DAAFYDG," "DAAYHDG," and "DAAYYDR" have significant resistance to T1D (odds ratios [ORs] 0.03, 0.25, and 0.18; P = 6.11 × 10-24, 3.54 × 10-15, and 1.03 × 10-21, respectively). Remarkably, a change of a single residue from the motif "DAAYHDG" to "DAAYHSG" (D to S at β57) alters the resistance potential, from resistant motif (OR 0.15; P = 3.54 × 10-15) to a neutral motif (P = 0.183), the change of which was significant (Fisher P value = 0.0065). The extended set of linked residues associated with T1D resistance and unique to each cluster of HLA-DQ haplotypes represents facets of all known features and functions of these molecules: antigenic peptide binding, peptide-MHC class II complex stability, β167-169 RGD loop, T-cell receptor binding, formation of homodimer of α-β heterodimers, and cholesterol binding in the cell membrane rafts. Identification of these residues is a novel understanding of resistant DQ associations with T1D. Our analyses endow potential molecular approaches to identify immunological mechanisms that control disease susceptibility or resistance to provide novel targets for immunotherapeutic strategies.
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Affiliation(s)
- Lue Ping Zhao
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - George K Papadopoulos
- Laboratory of Biophysics, Biochemistry, Biomaterials and Bioprocessing, Faculty of Agricultural Technology, Technological Educational Institute of Epirus, Arta, Greece
| | - William W Kwok
- Benaroya Research Institute at Virginia Mason, Seattle, WA
| | - Antonis K Moustakas
- Department of Food Science and Technology, Faculty of Environment, Ionian University, Argostoli, Cephalonia, Greece
| | - George P Bondinas
- Laboratory of Biophysics, Biochemistry, Biomaterials and Bioprocessing, Faculty of Agricultural Technology, Technological Educational Institute of Epirus, Arta, Greece
| | | | - Helena Elding Larsson
- Department of Clinical Sciences, Lund University Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
| | - Johnny Ludvigsson
- Crown Princess Victoria Children's Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Claude Marcus
- Division of Pediatrics, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Ulf Samuelsson
- Crown Princess Victoria Children's Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Ruihan Wang
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Chul-Woo Pyo
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Wyatt C Nelson
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Daniel E Geraghty
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
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Ding Y, Li N, Lou D, Zhang Q, Chang G, Li J, Li X, Li Q, Huang X, Wang J, Jiang F, Wang X. Clinical and genetic analysis in a Chinese cohort of children and adolescents with diabetes/persistent hyperglycemia. J Diabetes Investig 2020; 12:48-62. [PMID: 32531870 PMCID: PMC7779271 DOI: 10.1111/jdi.13322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 06/02/2020] [Accepted: 06/05/2020] [Indexed: 12/11/2022] Open
Abstract
Aims/Introduction To investigate the genetic etiology and evaluate the diagnostic application of next‐generation sequencing for diabetes/persistent hyperglycemia in children and adolescents. Materials and Methods Patients with diabetes/persistent hyperglycemia, presenting with at least one other clinical manifestation (other than diabetes) or with a family history of diabetes, were recruited. The clinical and laboratory characteristics of the patients were recorded. Next‐generation sequencing was carried out, and candidate variants were verified by Sanger sequencing. Variant pathogenicity was further evaluated according to the American College of Medical Genetics and Genomics guidelines. Results This study included 101 potential probands, 36 of whom were identified as positive by genetic testing. A further 51.2 and 20.9% of variants were determined to be pathogenic or likely pathogenic, respectively. Variants associated with the disease were primarily identified in 21 genes and three regions of copy number variants. Among the 39 variants in 21 genes, 61.5% (24/39) were novel. The genetic diagnosis of 23 patients was confirmed based on genetic evidence and associated clinical manifestations. We reported GCK variants (21.7%, 5/23) as the most common etiology in our cohort. Different clinical manifestations were observed in one family with WFS1 variants. Conclusions Our findings support the use of next‐generation sequencing as a standard method in patients with diabetes/persistent hyperglycemia and provide insights into the etiologies of these conditions.
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Affiliation(s)
- Yu Ding
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Niu Li
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Dan Lou
- Department of Pediatrics, the First Affiliated Hospital of Henan University of Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Qianwen Zhang
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guoying Chang
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Juan Li
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xin Li
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qun Li
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiaodong Huang
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jian Wang
- Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiumin Wang
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
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