1
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F De Jesus D, Zhang Z, Brown NK, Li X, Xiao L, Hu J, Gaffrey MJ, Fogarty G, Kahraman S, Wei J, Basile G, Rana TM, Mathews C, Powers AC, Parent AV, Atkinson MA, Dhe-Paganon S, Eizirik DL, Qian WJ, He C, Kulkarni RN. Redox regulation of m 6A methyltransferase METTL3 in β-cells controls the innate immune response in type 1 diabetes. Nat Cell Biol 2024; 26:421-437. [PMID: 38409327 PMCID: PMC11042681 DOI: 10.1038/s41556-024-01368-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 01/26/2024] [Indexed: 02/28/2024]
Abstract
Type 1 diabetes (T1D) is characterized by the destruction of pancreatic β-cells. Several observations have renewed the interest in β-cell RNA sensors and editors. Here, we report that N6-methyladenosine (m6A) is an adaptive β-cell safeguard mechanism that controls the amplitude and duration of the antiviral innate immune response at T1D onset. m6A writer methyltransferase 3 (METTL3) levels increase drastically in β-cells at T1D onset but rapidly decline with disease progression. m6A sequencing revealed the m6A hypermethylation of several key innate immune mediators, including OAS1, OAS2, OAS3 and ADAR1 in human islets and EndoC-βH1 cells at T1D onset. METTL3 silencing enhanced 2'-5'-oligoadenylate synthetase levels by increasing its mRNA stability. Consistently, in vivo gene therapy to prolong Mettl3 overexpression specifically in β-cells delayed diabetes progression in the non-obese diabetic mouse model of T1D. Mechanistically, the accumulation of reactive oxygen species blocked upregulation of METTL3 in response to cytokines, while physiological levels of nitric oxide enhanced METTL3 levels and activity. Furthermore, we report that the cysteines in position C276 and C326 in the zinc finger domains of the METTL3 protein are sensitive to S-nitrosylation and are important to the METTL3-mediated regulation of oligoadenylate synthase mRNA stability in human β-cells. Collectively, we report that m6A regulates the innate immune response at the β-cell level during the onset of T1D in humans.
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Affiliation(s)
- Dario F De Jesus
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, Beth Israel Deaconess Medical Center; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA
| | - Zijie Zhang
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Natalie K Brown
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, Beth Israel Deaconess Medical Center; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA
| | - Xiaolu Li
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ling Xiao
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, Beth Israel Deaconess Medical Center; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA
| | - Jiang Hu
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, Beth Israel Deaconess Medical Center; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA
| | - Matthew J Gaffrey
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Garrett Fogarty
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, Beth Israel Deaconess Medical Center; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA
| | - Sevim Kahraman
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, Beth Israel Deaconess Medical Center; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA
| | - Jiangbo Wei
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
- Department of Chemistry and Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Giorgio Basile
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, Beth Israel Deaconess Medical Center; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA
| | - Tariq M Rana
- Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Clayton Mathews
- Department of Pathology, The University of Florida College of Medicine, Gainesville, FL, USA
| | - Alvin C Powers
- Department of Medicine, and Department of Molecular Physiology and Biophysics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Audrey V Parent
- Diabetes Center, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Mark A Atkinson
- Department of Pathology, The University of Florida College of Medicine, Gainesville, FL, USA
| | - Sirano Dhe-Paganon
- Department of Biological Chemistry, and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
| | - Decio L Eizirik
- ULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA.
| | - Rohit N Kulkarni
- Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, Beth Israel Deaconess Medical Center; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA.
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2
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Lin J, Moradi E, Salenius K, Lehtipuro S, Häkkinen T, Laiho JE, Oikarinen S, Randelin S, Parikh HM, Krischer JP, Toppari J, Lernmark Å, Petrosino JF, Ajami NJ, She JX, Hagopian WA, Rewers MJ, Lloyd RE, Rautajoki KJ, Hyöty H, Nykter M. Distinct transcriptomic profiles in children prior to the appearance of type 1 diabetes-linked islet autoantibodies and following enterovirus infection. Nat Commun 2023; 14:7630. [PMID: 37993433 PMCID: PMC10665402 DOI: 10.1038/s41467-023-42763-9] [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: 02/01/2023] [Accepted: 10/17/2023] [Indexed: 11/24/2023] Open
Abstract
Although the genetic basis and pathogenesis of type 1 diabetes have been studied extensively, how host responses to environmental factors might contribute to autoantibody development remains largely unknown. Here, we use longitudinal blood transcriptome sequencing data to characterize host responses in children within 12 months prior to the appearance of type 1 diabetes-linked islet autoantibodies, as well as matched control children. We report that children who present with insulin-specific autoantibodies first have distinct transcriptional profiles from those who develop GADA autoantibodies first. In particular, gene dosage-driven expression of GSTM1 is associated with GADA autoantibody positivity. Moreover, compared with controls, we observe increased monocyte and decreased B cell proportions 9-12 months prior to autoantibody positivity, especially in children who developed antibodies against insulin first. Lastly, we show that control children present transcriptional signatures consistent with robust immune responses to enterovirus infection, whereas children who later developed islet autoimmunity do not. These findings highlight distinct immune-related transcriptomic differences between case and control children prior to case progression to islet autoimmunity and uncover deficient antiviral response in children who later develop islet autoimmunity.
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Grants
- U01 DK063821 NIDDK NIH HHS
- UC4 DK063863 NIDDK NIH HHS
- UL1 TR002535 NCATS NIH HHS
- U01 DK128847 NIDDK NIH HHS
- U01 DK063790 NIDDK NIH HHS
- UL1 TR000064 NCATS NIH HHS
- HHSN267200700014C NLM NIH HHS
- U01 DK063836 NIDDK NIH HHS
- U01 DK063829 NIDDK NIH HHS
- U01 DK063865 NIDDK NIH HHS
- UC4 DK095300 NIDDK NIH HHS
- UC4 DK063861 NIDDK NIH HHS
- UC4 DK063829 NIDDK NIH HHS
- UC4 DK063821 NIDDK NIH HHS
- UC4 DK117483 NIDDK NIH HHS
- UC4 DK063836 NIDDK NIH HHS
- UC4 DK112243 NIDDK NIH HHS
- U01 DK124166 NIDDK NIH HHS
- U01 DK063861 NIDDK NIH HHS
- UC4 DK063865 NIDDK NIH HHS
- U01 DK063863 NIDDK NIH HHS
- UC4 DK106955 NIDDK NIH HHS
- UC4 DK100238 NIDDK NIH HHS
- Academy of Finland (Suomen Akatemia)
- Sigrid Juséliuksen Säätiö (Sigrid Jusélius Foundation)
- U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases)
- EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- The TEDDY Study is funded by U01 DK63829, U01 DK63861, U01 DK63821, U01 DK63865, U01 DK63863, U01 DK63836, U01 DK63790, UC4 DK63829, UC4 DK63861, UC4 DK63821, UC4 DK63865, UC4 DK63863, UC4 DK63836, UC4 DK95300, UC4 DK100238, UC4 DK106955, UC4 DK112243, UC4 DK117483, U01 DK124166, U01 DK128847, and Contract No. HHSN267200700014C from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of Allergy and Infectious Diseases (NIAID), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institute of Environmental Health Sciences (NIEHS), Centers for Disease Control and Prevention (CDC), and JDRF. This work is supported in part by the NIH/NCATS Clinical and Translational Science Awards to the University of Florida (UL1 TR000064) and the University of Colorado (UL1 TR002535).
- Päivikki and Sakari Sohlberg's Foundation
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Affiliation(s)
- Jake Lin
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
- Biostatistics, Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
- Finnish Institute of Molecular Medicine, FIMM, University of Helsinki, 00290, Helsinki, Finland
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Elaheh Moradi
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, 70150, Finland
| | - Karoliina Salenius
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
| | - Suvi Lehtipuro
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
| | - Tomi Häkkinen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
| | - Jutta E Laiho
- Department of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Sami Oikarinen
- Department of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Sofia Randelin
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
| | - Hemang M Parikh
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jeffrey P Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jorma Toppari
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, and Centre for Population Health Research, University of Turku, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Malmö, Sweden
| | - Joseph F Petrosino
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Nadim J Ajami
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
- Platform for Innovative Microbiome & Translational Research (PRIME-TR), Moon Shots™ Program, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jin-Xiong She
- Jinfiniti Precision Medicine, Inc., Augusta, GA, USA
| | - William A Hagopian
- Pacific Northwest Research Institute, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Marian J Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, USA
| | - Richard E Lloyd
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Kirsi J Rautajoki
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland.
| | - Heikki Hyöty
- Department of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
- Fimlab Laboratories, Tampere, Finland.
| | - Matti Nykter
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland.
- Foundation for the Finnish Cancer Institute, Helsinki, Finland.
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3
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Hendrix G, Lokhnygina Y, Ramaker M, Ilkayeva O, Muehlbauer M, Evans W, Rasbach L, Benjamin R, Freemark M, Gumus Balikcioglu P. Catabolism of fats and branched-chain amino acids in children with Type 1 diabetes: Association with glycaemic control and total daily insulin dose. Endocrinol Diabetes Metab 2023; 6:e448. [PMID: 37715520 PMCID: PMC10638627 DOI: 10.1002/edm2.448] [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: 05/24/2023] [Revised: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 09/17/2023] Open
Abstract
OBJECTIVE Hyperglycaemia in Type 1 diabetes (T1D) results from an absolute insulin deficiency. However, insulin resistance (IR) may exacerbate glycaemic instability in T1D and contribute to long-term cardiovascular complications. We previously showed that IR in teenagers with obesity is associated with sex-dependent derangements in the catabolism of branched-chain amino acids (BCAA) and fatty acids. Here we hypothesized that byproducts of BCAA and fatty acid metabolism may serve as biomarkers or determinants of glycaemic control and IR in prepubertal or early pubertal children with T1D. METHODS Metabolites, hormones and cytokines from fasting blood samples were analysed in 28 children (15 females, 13 males; age 6-11 years) with T1D. Principal components analysis (PCA) and multiple linear regression models were used to correlate metabolites of interest with glycaemic control, total daily insulin dose (TDD, units/kg/d), adiponectin and the triglyceride (TG) to high-density lipoprotein (HDL) ratio. RESULTS Males and females were comparable in age, BMI-z, insulin sensitivity, glycaemic control, inflammatory markers, BCAAs and C2/C3/C5-acylcarnitines. The majority of components retained in PCA were related to fatty acid oxidation (FAO) and BCAA catabolism. HbA1c correlated positively with Factor 2 (acylcarnitines, incomplete FAO) and Factor 9 (fasting glucose). TDD correlated negatively with C3 and C5 and Factor 10 (BCAA catabolism) and positively with the ratio of C2 to C3 + C5 and Factor 9 (fasting glucose). CONCLUSIONS These findings suggest that glucose intolerance in prepubertal or early pubertal children with T1D is accompanied by incomplete FAO while TDD is associated with preferential catabolism of fats relative to amino acids.
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Affiliation(s)
- Grace Hendrix
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Yuliya Lokhnygina
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth CarolinaUSA
| | - Megan Ramaker
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
- Department of Medicine, Division of Endocrinology, Metabolism, and NutritionDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Michael Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
| | - William Evans
- University of California‐BerkeleyBerkeleyCaliforniaUSA
- Duke UniversityDurhamNorth CarolinaUSA
| | - Lisa Rasbach
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Robert Benjamin
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Michael Freemark
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
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4
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Lamichhane S, Sen P, Dickens AM, Kråkström M, Ilonen J, Lempainen J, Hyöty H, Lahesmaa R, Veijola R, Toppari J, Hyötyläinen T, Knip M, Orešič M. Circulating metabolic signatures of rapid and slow progression to type 1 diabetes in islet autoantibody-positive children. Front Endocrinol (Lausanne) 2023; 14:1211015. [PMID: 37745723 PMCID: PMC10516565 DOI: 10.3389/fendo.2023.1211015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 08/18/2023] [Indexed: 09/26/2023] Open
Abstract
Aims/hypothesis Appearance of multiple islet cell autoantibodies in early life is indicative of future progression to overt type 1 diabetes, however, at varying rates. Here, we aimed to study whether distinct metabolic patterns could be identified in rapid progressors (RP, disease manifestation within 18 months after the initial seroconversion to autoantibody positivity) vs. slow progressors (SP, disease manifestation at 60 months or later from the appearance of the first autoantibody). Methods Longitudinal samples were collected from RP (n=25) and SP (n=41) groups at the ages of 3, 6, 12, 18, 24, or ≥ 36 months. We performed a comprehensive metabolomics study, analyzing both polar metabolites and lipids. The sample series included a total of 239 samples for lipidomics and 213 for polar metabolites. Results We observed that metabolites mediated by gut microbiome, such as those involved in tryptophan metabolism, were the main discriminators between RP and SP. The study identified specific circulating molecules and pathways, including amino acid (threonine), sugar derivatives (hexose), and quinic acid that may define rapid vs. slow progression to type 1 diabetes. However, the circulating lipidome did not appear to play a major role in differentiating between RP and SP. Conclusion/interpretation Our study suggests that a distinct metabolic profile is linked with the type 1 diabetes progression. The identification of specific metabolites and pathways that differentiate RP from SP may have implications for early intervention strategies to delay the development of type 1 diabetes.
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Affiliation(s)
- Santosh Lamichhane
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
| | - Partho Sen
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
| | - Alex M. Dickens
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
- Department of Chemistry, University of Turku, University, Turku, Finland
| | - Matilda Kråkström
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Johanna Lempainen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Pediatrics and Adolescent Medicine, Turku University Hospital, Turku, Finland
- Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Heikki Hyöty
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
- Fimlab Laboratories, Pirkanmaa Hospital District, Tampere, Finland
| | - Riitta Lahesmaa
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Centre, University of Oulu, Oulu, Finland
- Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Jorma Toppari
- Department of Pediatrics and Adolescent Medicine, Turku University Hospital, Turku, Finland
- Institute of Biomedicine, Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, Turku, Finland
| | | | - Mikael Knip
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Pediatrics, Tampere University Hospital, Tampere, Finland
| | - Matej Orešič
- Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
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5
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Liu X, Song H, Sun T, Wang H. Responsive Microneedles as a New Platform for Precision Immunotherapy. Pharmaceutics 2023; 15:pharmaceutics15051407. [PMID: 37242649 DOI: 10.3390/pharmaceutics15051407] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/19/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Microneedles are a well-known transdermal or transdermal drug delivery system. Different from intramuscular injection, intravenous injection, etc., the microneedle delivery system provides unique characteristics for immunotherapy administration. Microneedles can deliver immunotherapeutic agents to the epidermis and dermis, where immune cells are abundant, unlike conventional vaccine systems. Furthermore, microneedle devices can be designed to respond to certain endogenous or exogenous stimuli including pH, reactive oxygen species (ROS), enzyme, light, temperature, or mechanical force, thereby allowing controlled release of active compounds in the epidermis and dermis. In this way, multifunctional or stimuli-responsive microneedles for immunotherapy could enhance the efficacy of immune responses to prevent or mitigate disease progression and lessen systemic adverse effects on healthy tissues and organs. Since microneedles are a promising drug delivery system for accurate delivery and controlled drug release, this review focuses on the progress of using reactive microneedles for immunotherapy, especially for tumors. Limitations of current microneedle system are summarized, and the controllable administration and targeting of reactive microneedle systems are examined.
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Affiliation(s)
- Xinyang Liu
- Henan Institutes of Advanced Technology, Zhengzhou University, Zhengzhou 450052, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Haohao Song
- Henan Institutes of Advanced Technology, Zhengzhou University, Zhengzhou 450052, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Tairan Sun
- The Second Affiliated Hospital of Hebei North University, Zhangjiakou 075100, China
| | - Hai Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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6
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Chai J, Wang Y, Sun Z, Zhou Q, Xu J. Evaluation among trace elements, clinical parameters and type 1 diabetes according to sex: A new sight of auxiliary prediction in negative insulin auto-antibodies population. J Trace Elem Med Biol 2023; 75:127100. [PMID: 36410305 DOI: 10.1016/j.jtemb.2022.127100] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 10/13/2022] [Accepted: 11/04/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Type 1 diabetes (T1D) exhibited sex-specific metabolic status including oxidative stress with dynamic change of trace elements, which emphasized the importance of the evaluation of trace elements according to sex. Besides, the most significant characteristic, insulin auto-antibodies, could not be found in all T1D patients, which needed the auxiliary prediction of clinical parameters. And it would benefit the early detection and treatment if some high-risk groups of T1D could predict and prevent the occurrence of disease through common clinical parameters. Hence, there was an urgent need to construct more effective and scientific statistical prediction models to serve clinic better. This study aimed to evaluate the sex-specific levels of trace elements and the relationship between trace elements and clinical parameters in T1D, and construct sex-specific auxiliary prediction model combined with trace elements and clinical parameters. METHODS A total of 105 T1D patients with negative insulin auto-antibodies and 105 age/sex-matched healthy individuals were enrolled in First Hospital of Jilin University. Inductively Coupled Plasma Mass Spectrometry was performed for the measurement of calcium (Ca), magnesium (Mg), zinc (Zn), copper (Cu), iron (Fe), selenium (Se) in the serum, and the data of clinical parameters were received from medical record system. The lambda-mu-sigma method was used to evaluate the relationship between abnormal clinical parameters and trace elements. Training set and validation set were divided for the construction of predictable models in males and females: clinical parameters model, trace element model and the combined model (clinical parameters and trace elements). Goodness fit test, decision curve analysis and other related statistical methods were used to perform data analysis. RESULTS Lower levels of Mg, Ca, Fe in the serum were found in T1D population in females compared with healthy population, while levels of Fe, Zn and Cu of serum in T1D individuals were higher than those of healthy population in males. Levels of serum Mg, Fe and Cu in T1D group were found with significant sex difference for (P < 0.05), and the levels of Fe and Cu in serum of males were higher than those of females, level of serum Mg in males was lower than those of females. Levels of serum Mg and Zn showed fluctuation trend with increased numbers of abnormal clinical parameters (NACP) in males. Serum Zn in females showed consistent elevated trend with NACP; serum Se increased first and then decreased with NACP in males and females. The auxiliary prediction model (Triglyceride, Total protein, serum Mg) was found with the highest predicted efficiency in males (AUC=0.993), while the model in females (Apolipoprotein A, Creatinine, Fe, Se, Zn/Cu ratio) showed the best predicted efficiency (AUC=0.951). The models had passed the verification in validation set, and Chi-square goodness-of-fit test, DCA results both confirmed their satisfactory clinical applicability. CONCLUSION Sex-specific difference were found in serum Mg, Fe and Cu in T1D. The combination of triglyceride, total protein and serum Mg for males, and apolipoprotein A, creatinine, Fe, Se, Zn/Cu ratio for females could effectively predict T1D in patients with negative anti-bodies, which would provide alarm for the population with high-risk of T1D and serve the T1D prediction in patients with negative anti-bodies.
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Affiliation(s)
- Jiatong Chai
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Yiting Wang
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Zeyu Sun
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Qi Zhou
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Jiancheng Xu
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China.
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7
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Zong Y, Yu W, Hong H, Zhu Z, Xiao W, Wang K, Xu G. Ginsenoside Rg1 Improves Inflammation and Autophagy of the Pancreas and Spleen in Streptozotocin-Induced Type 1 Diabetic Mice. Int J Endocrinol 2023; 2023:3595992. [PMID: 36960388 PMCID: PMC10030220 DOI: 10.1155/2023/3595992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 01/16/2023] [Accepted: 01/23/2023] [Indexed: 03/17/2023] Open
Abstract
BACKGROUND Ginsenoside Rg1 (Rg1) is one of the key bioactive components of the precious Traditional Chinese Medicine that has been used to treat diabetes in China. Ginsenosides have been reported to protect diabetics from tissue damage, inflammation, and insulin resistance. Type 1 diabetes (T1D) is an organ-specific autoimmune disease that occurred frequently among adolescents over the world, its development was related to inflammation and β-cells immunodeficiency. The aim of this study is to explore the biological mechanism of Rg1 on inflammation and autophagy of β-cells in T1D and its therapeutic potential. METHODS The model of T1D mice was established by injecting Streptozotocin (STZ) (55 mg/kg) or citric acids once a day for 5 days and from the fourth day of injection, mice were administered with Rg1 (20 mg/kg) or saline by gavage once a day for 12 days. Hematoxylin-eosin staining, immunofluorescence, ELISA, quantitative real-time PCR, and Western blot were used to observe the histopathological changes, inflammatory factor levels, and autophagy markers after administration of ginsenoside Rg1. RESULTS Compared to the T1D mice, Rg1 improved the weight (p < 0.05) and blood glucose (p < 0.01) of mice, advanced the injury and apoptosis of β-cells in islets (p < 0.01), and markedly inhibited the protein expression degrees of CD45, CXCL16, ox-LDL, and TF in the pancreas and spleens (p < 0.01), also activated the degrees of insulin in serum (p < 0.01). Besides, in T1D mice' pancreas and spleen, Rg1 markedly repressed the IL-1β, TNF-α, and NOS2 mRNA levels (p < 0.05 or p < 0.01), inhibited the CXCL16, NF-κB, and TF proteins (p < 0.05 or p < 0.01), while elevating the ratio of LC3 II/I (p < 0.01) and P62 (p < 0.05) protein level. CONCLUSIONS This study proved that Rg1 protected mice against T1D possibly by improving islet injury and tissue inflammation, raising serum insulin, and tissue autophagy marker.
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Affiliation(s)
- Yi Zong
- Department of Radiology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Weihua Yu
- Department of Gastroenterology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Hanghang Hong
- Department of Ultrasound, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Zhiqiang Zhu
- Department of Clinical Laboratary, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Wenbo Xiao
- Department of Radiology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Kewu Wang
- Department of Radiology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Guoqiang Xu
- Department of Gastroenterology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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8
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Zhang J, Xiao Y, Hu J, Liu S, Zhou Z, Xie L. Lipid metabolism in type 1 diabetes mellitus: Pathogenetic and therapeutic implications. Front Immunol 2022; 13:999108. [PMID: 36275658 PMCID: PMC9583919 DOI: 10.3389/fimmu.2022.999108] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease with insulin deficiency due to pancreatic β cell destruction. Multiple independent cohort studies revealed specific lipid spectrum alterations prior to islet autoimmunity in T1DM. Except for serving as building blocks for membrane biogenesis, accumulative evidence suggests lipids and their derivatives can also modulate different biological processes in the progression of T1DM, such as inflammation responses, immune attacks, and β cell vulnerability. However, the types of lipids are huge and majority of them have been largely unexplored in T1DM. In this review, based on the lipid classification system, we summarize the clinical evidence on dyslipidemia related to T1DM and elucidate the potential mechanisms by which they participate in regulating inflammation responses, modulating lymphocyte function and influencing β cell susceptibility to apoptosis and dysfunction. This review systematically recapitulates the role and mechanisms of various lipids in T1DM, providing new therapeutic approaches for T1DM from a nutritional perspective.
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9
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Niinistö S, Miettinen ME, Cuthbertson D, Honkanen J, Hakola L, Autio R, Erlund I, Arohonka P, Vuorela A, Härkönen T, Hyöty H, Krischer JP, Vaarala O, Knip M, Virtanen SM. Associations Between Serum Fatty Acids and Immunological Markers in Children Developing Islet Autoimmunity-The TRIGR Nested Case-Control Study. Front Immunol 2022; 13:858875. [PMID: 35693790 PMCID: PMC9175567 DOI: 10.3389/fimmu.2022.858875] [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] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 04/27/2022] [Indexed: 12/03/2022] Open
Abstract
Aims Altered immune functions as well as fatty acid intake and status have been associated with the development of type 1 diabetes. We aimed to study the relationship between fatty acids and immunological markers in young children with increased genetic risk for type 1 diabetes in order to define putative mechanisms related to development of islet autoimmunity. Methods Serum samples for fatty acid and immunological marker measurements were obtained in the Trial to Reduce IDDM in the Genetically at Risk (TRIGR) ancillary study (Divia) from children born between 2002 and 2007 in 15 countries. Case children (n = 95) were defined as having repeated positivity for at least two out of four diabetes-associated autoantibodies. For each case child, control children were selected matched for country and date of birth (n = 173). Serum fatty acids and immunological markers were measured from cord serum and at the age of 6 and 12 months. Spearman correlation coefficients were calculated between fatty acids and immunological markers. Results Correlations between circulating fatty acids and immunological markers were different in case children who developed islet autoimmunity than in control children already at birth continuing across the first year of life. In case children, saturated fatty acids (SFAs) showed stronger correlations with immunological markers, while in controls, polyunsaturated fatty acids (PUFAs) showed stronger correlations. Conclusions In cases, SFAs were associated with several immunological markers (CXCL10, IL-6, IL-9, IL-17, and CM-CSF) previously linked to the type 1 diabetes disease process. Findings indicate that fatty acids could have immunomodulatory potential in the early phase of the disease development, although causality between fatty acids and the immunological pathways remains to be explored. Trial registry number NCT00179777.
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Affiliation(s)
- Sari Niinistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Maija E. Miettinen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - David Cuthbertson
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Jarno Honkanen
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Leena Hakola
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
- Tampere University Hospital, Research, Development and Innovation Center, Tampere, Finland
| | - Reija Autio
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Iris Erlund
- Department of Government Services, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Petra Arohonka
- Department of Government Services, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Arja Vuorela
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Taina Härkönen
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Heikki Hyöty
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Fimlab Laboratories, Pirkanmaa Hospital District, Tampere, Finland
| | - Jeffrey P. Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Outi Vaarala
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Mikael Knip
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
- Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Suvi M. Virtanen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
- Tampere University Hospital, Research, Development and Innovation Center, Tampere, Finland
- Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
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10
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Garavelli S, Prattichizzo F, Ceriello A, Galgani M, de Candia P. Type 1 Diabetes and Associated Cardiovascular Damage: Contribution of Extracellular Vesicles in Tissue Crosstalk. Antioxid Redox Signal 2022; 36:631-651. [PMID: 34407376 DOI: 10.1089/ars.2021.0053] [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] [Indexed: 11/13/2022]
Abstract
Significance: Type 1 diabetes (T1D) is characterized by the autoimmune destruction of the insulin secreting β-cells, with consequent aberrant blood glucose levels. Hyperglycemia is the common denominator for most of the chronic diabetic vascular complications, which represent the main cause of life reduction in T1D patients. For this disease, three interlaced medical needs remain: understanding the underlying mechanisms involved in pancreatic β-cell loss; identifying biomarkers able to predict T1D progression and its related complications; recognizing novel therapeutic targets. Recent Advances: Extracellular vesicles (EVs), released by most cell types, were discovered to contain a plethora of different molecules (including microRNAs) with regulatory properties, which are emerging as mediators of cell-to-cell communication at the paracrine and endocrine level. Recent knowledge suggests that EVs may act as pathogenic factors, and be developed into disease biomarkers and therapeutic targets in the context of several human diseases. Critical Issues: EVs have been recently shown to sustain a dysregulated cellular crosstalk able to exacerbate the autoimmune response in the pancreatic islets of T1D; moreover, EVs were shown to be able to monitor and/or predict the progression of T1D and the insurgence of vasculopathies. Future Directions: More mechanistic studies are needed to investigate whether the dysregulation of EVs in T1D patients is solely reflecting the progression of diabetes and related complications, or EVs also directly participate in the disease process, thus pointing to a potential use of EVs as therapeutic targets/tools in T1D. Antioxid. Redox Signal. 36, 631-651.
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Affiliation(s)
- Silvia Garavelli
- Institute for Endocrinology and Experimental Oncology "G. Salvatore," Consiglio Nazionale delle Ricerche (C.N.R.), Naples, Italy
| | | | | | - Mario Galgani
- Institute for Endocrinology and Experimental Oncology "G. Salvatore," Consiglio Nazionale delle Ricerche (C.N.R.), Naples, Italy.,Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II," Italy
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11
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Nambam B, Bratina N, Chatz D. Immune Intervention in Type 1 Diabetes. Diabetes Technol Ther 2022; 24:S184-S189. [PMID: 35475689 DOI: 10.1089/dia.2022.2512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Bimota Nambam
- Department of Pediatrics, Division of Endocrinology, Johns Hopkins All Children's Hospital, St. Petersburg, FL
| | - Nataša Bratina
- University Medical Centre, University Children's Hospital Ljubljana, Department of Endocrinology, Diabetes and Metabolic Diseases, Ljubljana, Slovenia
| | - Desmond Chatz
- Department of Pediatrics, Division of Endocrinology, University of Florida, Gainesville, FL
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12
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Chai J, Sun Z, Xu J. A Contemporary Insight of Metabolomics Approach for Type 1 Diabetes: Potential for Novel Diagnostic Targets. Diabetes Metab Syndr Obes 2022; 15:1605-1625. [PMID: 35642181 PMCID: PMC9148614 DOI: 10.2147/dmso.s357007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/08/2022] [Indexed: 11/23/2022] Open
Abstract
High-throughput omics has been widely applied in metabolic disease, type 1 diabetes (T1D) was one of the most typical diseases. Effective prevention and early diagnosis are very important because of infancy and persistent characteristics of T1D. The occurrence and development of T1D is a chronic and continuous process, in which the production of autoantibodies (ie serum transformation) occupies the central position. Metabolomics can evaluate the metabolic characteristics of serum before seroconversion, the changes with age and T1D complications. And the addition of natural drug metabolomics is more conducive to the systematic and comprehensive diagnosis and treatment of T1D. This paper reviewed the metabolic changes and main pathogenesis from pre-diagnosis to treatment in T1D. The metabolic spectrum of significant abnormal energy and glucose-related metabolic pathway, down-regulation of lipid metabolism and up-regulation of some antioxidant pathways has appeared before seroconversion, indicating that the body has been in the dual state of disease progression and disease resistance before T1D onset. Some metabolites (such as methionine) are closely related to age, and the types of autoantibodies produced are age-specific. Some metabolites may jointly predict DN with eGFR, and metabolomics can further contribute to the pathogenesis based on the correlation between DN and DR. Many natural drug components have been proved to act on abnormal metabolic pathways of T1D and have a positive impact on some metabolic levels, which is very important for further finding therapeutic targets and developing new drugs with small side effects. Metabolomics can provide auxiliary value for the diagnosis of T1D and provide a new direction to reveal the pathogenesis of T1D and find new therapeutic targets. The development of T1D metabolomics shows that high-throughput research methods are expected to be introduced into clinical practice.
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Affiliation(s)
- Jiatong Chai
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, People’s Republic of China
| | - Zeyu Sun
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, People’s Republic of China
| | - Jiancheng Xu
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, People’s Republic of China
- Correspondence: Jiancheng Xu, Department of Laboratory Medicine, The First Bethune Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, People’s Republic of China, Tel +86-431-8878-2595, Fax +86-431-8878-6169, Email
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13
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Takahashi P, Xavier DJ, Lima JEBF, Evangelista AF, Collares CVA, Foss-Freitas MC, Rassi DM, Donadi EA, Passos GA, Sakamoto-Hojo ET. Transcript Expression Profiles and MicroRNA Regulation Indicate an Upregulation of Processes Linked to Oxidative Stress, DNA Repair, Cell Death, and Inflammation in Type 1 Diabetes Mellitus Patients. J Diabetes Res 2022; 2022:3511329. [PMID: 35155683 PMCID: PMC8825437 DOI: 10.1155/2022/3511329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 01/13/2022] [Indexed: 12/16/2022] Open
Abstract
Type 1 diabetes (T1D) arises from autoimmune-mediated destruction of insulin-producing β-cells leading to impaired insulin secretion and hyperglycemia. T1D is accompanied by DNA damage, oxidative stress, and inflammation, although there is still scarce information about the oxidative stress response and DNA repair in T1D pathogenesis. We used the microarray method to assess mRNA expression profiles in peripheral blood mononuclear cells (PBMCs) of 19 T1D patients compared to 11 controls and identify mRNA targets of microRNAs that were previously reported for T1D patients. We found 277 differentially expressed genes (220 upregulated and 57 downregulated) in T1D patients compared to controls. Analysis by gene sets (GSA and GSEA) showed an upregulation of processes linked to ROS generation, oxidative stress, inflammation, cell death, ER stress, and DNA repair in T1D patients. Besides, genes related to oxidative stress responses and DNA repair (PTGS2, ATF3, FOSB, DUSP1, and TNFAIP3) were found to be targets of four microRNAs (hsa-miR-101, hsa-miR148a, hsa-miR-27b, and hsa-miR-424). The expression levels of these mRNAs and microRNAs were confirmed by qRT-PCR. Therefore, the present study on differential expression profiles indicates relevant biological functions related to oxidative stress response, DNA repair, inflammation, and apoptosis in PBMCs of T1D patients relative to controls. We also report new insights regarding microRNA-mRNA interactions, which may play important roles in the T1D pathogenesis.
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Affiliation(s)
- Paula Takahashi
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, 14049900, SP, Brazil
| | - Danilo J. Xavier
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, 14049900, SP, Brazil
| | - Jessica E. B. F. Lima
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, 14049900, SP, Brazil
| | | | - Cristhianna V. A. Collares
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, 14049900, SP, Brazil
- Division of Clinical Immunology, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - Maria C. Foss-Freitas
- Division of Endocrinology, Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - Diane M. Rassi
- Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - Eduardo A. Donadi
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, 14049900, SP, Brazil
- Division of Clinical Immunology, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - Geraldo A. Passos
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, 14049900, SP, Brazil
- Laboratory of Genetics and Molecular Biology, Department of Basic and Oral Biology, School of Dentistry of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - Elza T. Sakamoto-Hojo
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, 14049900, SP, Brazil
- Department of Biology, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP, Brazil
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14
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Tarazona S, Arzalluz-Luque A, Conesa A. Undisclosed, unmet and neglected challenges in multi-omics studies. NATURE COMPUTATIONAL SCIENCE 2021; 1:395-402. [PMID: 38217236 DOI: 10.1038/s43588-021-00086-z] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/17/2021] [Indexed: 01/15/2024]
Abstract
Multi-omics approaches have become a reality in both large genomics projects and small laboratories. However, the multi-omics research community still faces a number of issues that have either not been sufficiently discussed or for which current solutions are still limited. In this Perspective, we elaborate on these limitations and suggest points of attention for future research. We finally discuss new opportunities and challenges brought to the field by the rapid development of single-cell high-throughput molecular technologies.
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Affiliation(s)
- Sonia Tarazona
- Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, Spain
| | - Angeles Arzalluz-Luque
- Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, Spain
| | - Ana Conesa
- Microbiology and Cell Science Department, Institute for Food and Agricultural Research, University of Florida, Gainesville, FL, USA.
- Genetics Institute, University of Florida, Gainesville, FL, USA.
- Institute for Integrative Systems Biology, Spanish National Research Council, Valencia, Spain.
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15
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Hamilton-Williams EE, Lorca GL, Norris JM, Dunne JL. A Triple Threat? The Role of Diet, Nutrition, and the Microbiota in T1D Pathogenesis. Front Nutr 2021; 8:600756. [PMID: 33869260 PMCID: PMC8046917 DOI: 10.3389/fnut.2021.600756] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 03/08/2021] [Indexed: 12/11/2022] Open
Abstract
In recent years the role of the intestinal microbiota in health and disease has come to the forefront of medical research. Alterations in the intestinal microbiota and several of its features have been linked to numerous diseases, including type 1 diabetes (T1D). To date, studies in animal models of T1D, as well as studies in human subjects, have linked several intestinal microbiota alterations with T1D pathogenesis. Features that are most often linked with T1D pathogenesis include decreased microbial diversity, the relative abundance of specific strains of individual microbes, and altered metabolite production. Alterations in these features as well as others have provided insight into T1D pathogenesis and shed light on the potential mechanism by which the microbiota plays a role in T1D pathogenesis, yet the underlying factors leading to these alterations remains unknown. One potential mechanism for alteration of the microbiota is through diet and nutrition. Previous studies have shown associations of diet with islet autoimmunity, but a direct contributing factor has yet to be identified. Diet, through introduction of antigens and alteration of the composition and function of the microbiota, may elicit the immune system to produce autoreactive responses that result in the destruction of the beta cells. Here, we review the evidence associating diet induced changes in the intestinal microbiota and their contribution to T1D pathogenesis. We further provide a roadmap for determining the effect of diet and other modifiable factors on the entire microbiota ecosystem, including its impact on both immune and beta cell function, as it relates to T1D. A greater understanding of the complex interactions between the intestinal microbiota and several interacting systems in the body (immune, intestinal integrity and function, metabolism, beta cell function, etc.) may provide scientifically rational approaches to prevent development of T1D and other childhood immune and allergic diseases and biomarkers to evaluate the efficacy of interventions.
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Affiliation(s)
- Emma E. Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Graciela L. Lorca
- Microbiology and Cell Science Department, Genetics Institute, Institute of Food and Agricultural Science, University of Florida, Gainesville, FL, United States
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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Balzano-Nogueira L, Ramirez R, Zamkovaya T, Dailey J, Ardissone AN, Chamala S, Serrano-Quílez J, Rubio T, Haller MJ, Concannon P, Atkinson MA, Schatz DA, Triplett EW, Conesa A. Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes. Genome Biol 2021; 22:39. [PMID: 33478573 PMCID: PMC7818777 DOI: 10.1186/s13059-021-02262-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 01/04/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The Environmental Determinants of Diabetes in the Young (TEDDY) is a prospective birth cohort designed to study type 1 diabetes (T1D) by following children with high genetic risk. An integrative multi-omics approach was used to evaluate islet autoimmunity etiology, identify disease biomarkers, and understand progression over time. RESULTS We identify a multi-omics signature that was predictive of islet autoimmunity (IA) as early as 1 year before seroconversion. At this time, abnormalities in lipid metabolism, decreased capacity for nutrient absorption, and intracellular ROS accumulation are detected in children progressing towards IA. Additionally, extracellular matrix remodeling, inflammation, cytotoxicity, angiogenesis, and increased activity of antigen-presenting cells are observed, which may contribute to beta cell destruction. Our results indicate that altered molecular homeostasis is present in IA-developing children months before the actual detection of islet autoantibodies, which opens an interesting window of opportunity for therapeutic intervention. CONCLUSIONS The approach employed herein for assessment of the TEDDY cohort showcases the utilization of multi-omics data for the modeling of complex, multifactorial diseases, like T1D.
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Affiliation(s)
- Leandro Balzano-Nogueira
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Ricardo Ramirez
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Tatyana Zamkovaya
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Jordan Dailey
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Alexandria N Ardissone
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Srikar Chamala
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Joan Serrano-Quílez
- Gene Expression and RNA Metabolism Laboratory, Instituto de Biomedicina de Valencia (CSIC), Jaume Roig, 11, 46010, Valencia, Spain
| | - Teresa Rubio
- Laboratory of Neurobiology, Prince Felipe Research Center, Valencia, Spain
| | - Michael J Haller
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Patrick Concannon
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
- University of Florida Genetics Institute, Gainesville, FL, USA
| | - Mark A Atkinson
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Desmond A Schatz
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Eric W Triplett
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Ana Conesa
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA.
- University of Florida Genetics Institute, Gainesville, FL, USA.
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17
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Abela AG, Fava S. Why is the Incidence of Type 1 Diabetes Increasing? Curr Diabetes Rev 2021; 17:e030521193110. [PMID: 33949935 DOI: 10.2174/1573399817666210503133747] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/14/2021] [Accepted: 03/11/2021] [Indexed: 11/22/2022]
Abstract
Type 1 diabetes is a condition that can lead to serious long-term complications and can have significant psychological and quality of life implications. Its incidence is increasing in all parts of the world, but the reasons for this are incompletely understood. Genetic factors alone cannot explain such a rapid increase in incidence; therefore, environmental factors must be implicated. Lifestyle factors have been classically associated with type 2 diabetes. However, there are data implicating obesity and insulin resistance to type 1 diabetes as well (accelerator hypothesis). Cholesterol has also been shown to be correlated with the incidence of type 1 diabetes; this may be mediated by immunomodulatory effects of cholesterol. There is considerable interest in early life factors, including maternal diet, mode of delivery, infant feeding, childhood diet, microbial exposure (hygiene hypothesis), and use of anti-microbials in early childhood. Distance from the sea has recently been shown to be negatively correlated with the incidence of type 1 diabetes. This may contribute to the increasing incidence of type 1 diabetes since people are increasingly living closer to the sea. Postulated mediating mechanisms include hours of sunshine (and possibly vitamin D levels), mean temperature, dietary habits, and pollution. Ozone, polychlorinated biphenyls, phthalates, trichloroethylene, dioxin, heavy metals, bisphenol, nitrates/nitrites, and mercury are amongst the chemicals which may increase the risk of type 1 diabetes. Another area of research concerns the role of the skin and gut microbiome. The microbiome is affected by many of the factors mentioned above, including the mode of delivery, infant feeding, exposure to microbes, antibiotic use, and dietary habits. Research on the reasons why the incidence of type 1 diabetes is increasing not only sheds light on its pathogenesis but also offers insights into ways we can prevent type 1 diabetes.
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Affiliation(s)
- Alexia G Abela
- Department of Medicine, University of Malta & Mater Dei Hospital, Tal-Qroqq, Msida, Malta
| | - Stephen Fava
- Department of Medicine, University of Malta & Mater Dei Hospital, Tal-Qroqq, Msida, Malta
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