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Pilz J, Gloddek N, Lindheimer F, Lindner MJ, Puhr-Westerheide D, Ümütlü M, Cyran C, Seidensticker M, Lindner R, Kraetzl M, Renner S, Merkus D, Teupser D, Bartenstein P, Ziegler SI, Wolf E, Kemter E. Functional maturation and longitudinal imaging of intraportal neonatal porcine islet grafts in genetically diabetic pigs. Am J Transplant 2024:S1600-6135(24)00168-0. [PMID: 38432328 DOI: 10.1016/j.ajt.2024.02.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/07/2024] [Accepted: 02/24/2024] [Indexed: 03/05/2024]
Abstract
Allogeneic intraportal islet transplantation (ITx) has become an established treatment for patients with poorly controlled type 1 diabetes. However, the loss of viable beta-cell mass after transplantation remains a major challenge. Therefore, noninvasive imaging methods for long-term monitoring of the transplant fate are required. In this study, [68Ga]Ga-DOTA-exendin-4 positron emission tomography/computed tomography (PET/CT) was used for repeated monitoring of allogeneic neonatal porcine islets (NPI) after intraportal transplantation into immunosuppressed genetically diabetic pigs. NPI transplantation (3320-15,000 islet equivalents per kg body weight) led to a reduced need for exogenous insulin therapy and finally normalization of blood glucose levels in 3 out of 4 animals after 5 to 10 weeks. Longitudinal PET/CT measurements revealed a significant increase in standard uptake values in graft-bearing livers. Histologic analysis confirmed the presence of well-engrafted, mature islet clusters in the transplanted livers. Our study presents a novel large animal model for allogeneic intraportal ITx. A relatively small dose of NPIs was sufficient to normalize blood glucose levels in a clinically relevant diabetic pig model. [68Ga]Ga-DOTA-exendin-4 PET/CT proved to be efficacious for longitudinal monitoring of islet transplants. Thus, it could play a crucial role in optimizing ITx as a curative therapy for type 1 diabetes.
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Affiliation(s)
- Johanna Pilz
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany; Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Nicol Gloddek
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany; Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Felix Lindheimer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Magdalena J Lindner
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | | | - Muzzafer Ümütlü
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Clemens Cyran
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Max Seidensticker
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Richard Lindner
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany; Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Martin Kraetzl
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany; Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Simone Renner
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany; Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Daphne Merkus
- Walter Brendel Center for Experimental Medicine (WBex), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Teupser
- Department of Laboratory Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Sibylle I Ziegler
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Eckhard Wolf
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany; Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Elisabeth Kemter
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany; Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany.
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2
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Zhang Y, Sui L, Du Q, Haataja L, Yin Y, Viola R, Xu S, Nielsson CU, Leibel RL, Barbetti F, Arvan P, Egli D. Permanent neonatal diabetes-causing insulin mutations have dominant negative effects on beta cell identity. Mol Metab 2024; 80:101879. [PMID: 38237895 PMCID: PMC10839447 DOI: 10.1016/j.molmet.2024.101879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVE Heterozygous coding sequence mutations of the INS gene are a cause of permanent neonatal diabetes (PNDM), requiring insulin therapy similar to T1D. While the negative effects on insulin processing and secretion are known, how dominant insulin mutations result in a continued decline of beta cell function after birth is not well understood. METHODS We explored the causes of beta cell failure in two PNDM patients with two distinct INS mutations using patient-derived iPSCs and mutated hESCs. RESULTS we detected accumulation of misfolded proinsulin and impaired proinsulin processing in vitro, and a dominant-negative effect of these mutations on beta-cell mass and function after transplantation into mice. In addition to anticipated ER stress, we found evidence of beta-cell dedifferentiation, characterized by an increase of cells expressing both Nkx6.1 and ALDH1A3, but negative for insulin and glucagon. CONCLUSIONS These results highlight a novel mechanism, the loss of beta cell identity, contributing to the loss and functional failure of human beta cells with specific insulin gene mutations.
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Affiliation(s)
- Yuwei Zhang
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States
| | - Lina Sui
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States
| | - Qian Du
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States
| | - Leena Haataja
- Metabolism Endocrinology & Diabetes, University of Michigan, Ann Arbor, MI 48105, United States
| | - Yishu Yin
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States
| | - Ryan Viola
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States
| | - Shuangyi Xu
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States
| | - Christian Ulrik Nielsson
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States
| | - Rudolph L Leibel
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States
| | - Fabrizio Barbetti
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome 00133, Italy; Monogenic Diabetes Clinic, Endocrinology and Diabetes Unit, Bambino Gesù Children's Hospital, Rome 00164, Italy
| | - Peter Arvan
- Metabolism Endocrinology & Diabetes, University of Michigan, Ann Arbor, MI 48105, United States
| | - Dieter Egli
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia Stem Cell Initiative, Columbia University, New York, NY, 10032, United States.
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3
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Zhang Y, Sui L, Du Q, Haataja L, Yin Y, Viola R, Xu S, Nielsson CU, Leibel RL, Barbetti F, Arvan P, Egli D. Permanent Neonatal diabetes-causing Insulin mutations have dominant negative effects on beta cell identity. bioRxiv 2023:2023.09.01.555839. [PMID: 37745320 PMCID: PMC10515756 DOI: 10.1101/2023.09.01.555839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Heterozygous coding sequence mutations of the INS gene are a cause of permanent neonatal diabetes (PNDM) that results from beta cell failure. We explored the causes of beta cell failure in two PNDM patients with two distinct INS mutations. Using b and mutated hESCs, we detected accumulation of misfolded proinsulin and impaired proinsulin processing in vitro, and a dominant-negative effect of these mutations on the in vivo performance of patient-derived SC-beta cells after transplantation into NSG mice. These insulin mutations derange endoplasmic reticulum (ER) homeostasis, and result in the loss of beta-cell mass and function. In addition to anticipated apoptosis, we found evidence of beta-cell dedifferentiation, characterized by an increase of cells expressing both Nkx6.1 and ALDH1A3, but negative for insulin and glucagon. These results highlight both known and novel mechanisms contributing to the loss and functional failure of human beta cells with specific insulin gene mutations.
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Affiliation(s)
- Yuwei Zhang
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
- These authors contributed equally
| | - Lina Sui
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
- These authors contributed equally
| | - Qian Du
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
| | - Leena Haataja
- Metabolism Endocrinology & Diabetes, University of Michigan, Ann Arbor, MI 48105, United States
| | - Yishu Yin
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
| | - Ryan Viola
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
| | - Shuangyi Xu
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
| | - Christian Ulrik Nielsson
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
| | - Rudolph L. Leibel
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
| | - Fabrizio Barbetti
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome 00133, Italy
- Monogenic Diabetes Clinic, Endocrinology and Diabetes Unit, Bambino Gesù Children’s Hospital, Rome 00164, Italy
| | - Peter Arvan
- Metabolism Endocrinology & Diabetes, University of Michigan, Ann Arbor, MI 48105, United States
| | - Dieter Egli
- Naomi Berrie Diabetes Center & Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, 10032, United States
- Lead Contact
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Goutchtat R, Quenon A, Clarisse M, Delalleau N, Coddeville A, Gobert M, Gmyr V, Kerr-Conte J, Pattou F, Hubert T. Effects of subtotal pancreatectomy and long-term glucose and lipid overload on insulin secretion and glucose homeostasis in minipigs. Endocrinol Diabetes Metab 2023:e425. [PMID: 37144278 DOI: 10.1002/edm2.425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/30/2023] [Accepted: 04/10/2023] [Indexed: 05/06/2023] Open
Abstract
INTRODUCTION Nowadays, there are no strong diabetic pig models, yet they are required for various types of diabetes research. Using cutting-edge techniques, we attempted to develop a type 2 diabetic minipig model in this study by combining a partial pancreatectomy (Px) with an energetic overload administered either orally or parenterally. METHODS Different groups of minipigs, including Göttingen-like (GL, n = 17) and Ossabaw (O, n = 4), were developed. Prior to and following each intervention, metabolic assessments were conducted. First, the metabolic responses of the Göttingen-like (n = 3) and Ossabaw (n = 4) strains to a 2-month High-Fat, High-Sucrose diet (HFHSD) were compared. Then, other groups of GL minipigs were established: with a single Px (n = 10), a Px combined with a 2-month HFHSD (n = 6), and long-term intraportal glucose and lipid infusions that were either preceded by a Px (n = 4) or not (n = 4). RESULTS After the 2-month HFHSD, there was no discernible change between the GL and O minipigs. The pancreatectomized group in GL minipigs showed a significantly lower Acute Insulin Response (AIR) (18.3 ± 10.0 IU/mL after Px vs. 34.9 ± 13.7 IU/mL before, p < .0005). In both long-term intraportal infusion groups, an increase in the Insulinogenic (IGI) and Hepatic Insulin Resistance Indexes (HIRI) was found with a decrease in the AIR, especially in the pancreatectomized group (IGI: 4.2 ± 1.9 after vs. 1.5 ± 0.8 before, p < .05; HIRI (×10-5 ): 12.6 ± 7.9 after vs. 3.8 ± 4.3 before, p < .05; AIR: 24.4 ± 13.7 µIU/mL after vs. 43.9 ± 14.5 µIU/mL before, p < .005). Regardless of the group, there was no fasting hyperglycemia. CONCLUSIONS In this study, we used pancreatectomy followed by long-term intraportal glucose and lipid infusions to develop an original minipig model with metabolic syndrome and early signs of glucose intolerance. We reaffirm the pig's usefulness as a preclinical model for the metabolic syndrome but without the fasting hyperglycemia that characterizes diabetes mellitus.
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Affiliation(s)
- Rébecca Goutchtat
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
| | - Audrey Quenon
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
- Univ. Lille, CHU Lille, UFR3S, Département Hospitalo-Universitaire de Recherche et d'Enseignement (Dhure), Lille, France
| | | | - Nathalie Delalleau
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
| | - Anaïs Coddeville
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
| | - Mathilde Gobert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
| | - Valéry Gmyr
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
| | - Julie Kerr-Conte
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
| | - François Pattou
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
| | - Thomas Hubert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, UFR3S, U1190 - Egid, Lille, France
- Univ. Lille, CHU Lille, UFR3S, Département Hospitalo-Universitaire de Recherche et d'Enseignement (Dhure), Lille, France
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5
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LaLonde-Paul D, Mouttham L, Promislow DEL, Castelhano MG. Banking on a new understanding: translational opportunities from veterinary biobanks. GeroScience 2023:10.1007/s11357-023-00763-z. [PMID: 36890420 PMCID: PMC10400517 DOI: 10.1007/s11357-023-00763-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 01/03/2023] [Indexed: 03/10/2023] Open
Abstract
Current advances in geroscience are due in part to the discovery of biomarkers with high predictive ability in short-lived laboratory animals such as flies and mice. These model species, however, do not always adequately reflect human physiology and disease, highlighting the need for a more comprehensive and relevant model of human aging. Domestic dogs offer a solution to this obstacle, as they share many aspects not only of the physiological and pathological trajectories of their human counterpart, but also of their environment. Furthermore, they age at a considerably faster rate. Studying aging in the companion dog provides an opportunity to better understand the biological and environmental determinants of healthy lifespan in our pets, and to translate those findings to human aging. Biobanking, the systematic collection, processing, storage, and distribution of biological material and associated data has contributed to basic, clinical, and translational research by streamlining the management of high-quality biospecimens for biomarker discovery and validation. In this review, we discuss how veterinary biobanks can support research on aging, particularly when integrated into large-scale longitudinal studies. As an example of this concept, we introduce the Dog Aging Project Biobank.
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Affiliation(s)
- D LaLonde-Paul
- Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - L Mouttham
- Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | | | - D E L Promislow
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
- Department of Biology, University of Washington, Seattle, WA, USA
| | - M G Castelhano
- Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
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Dadousis C, Muñoz M, Óvilo C, Fabbri MC, Araújo JP, Bovo S, Potokar MČ, Charneca R, Crovetti A, Gallo M, García-Casco JM, Karolyi D, Kušec G, Martins JM, Mercat MJ, Pugliese C, Quintanilla R, Radović Č, Razmaite V, Ribani A, Riquet J, Savić R, Schiavo G, Škrlep M, Tinarelli S, Usai G, Zimmer C, Fontanesi L, Bozzi R. Admixture and breed traceability in European indigenous pig breeds and wild boar using genome-wide SNP data. Sci Rep 2022; 12:7346. [PMID: 35513520 DOI: 10.1038/s41598-022-10698-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 04/11/2022] [Indexed: 11/16/2022] Open
Abstract
Preserving diversity of indigenous pig (Sus scrofa) breeds is a key factor to (i) sustain the pork chain (both at local and global scales) including the production of high-quality branded products, (ii) enrich the animal biobanking and (iii) progress conservation policies. Single nucleotide polymorphism (SNP) chips offer the opportunity for whole-genome comparisons among individuals and breeds. Animals from twenty European local pigs breeds, reared in nine countries (Croatia: Black Slavonian, Turopolje; France: Basque, Gascon; Germany: Schwabisch-Hällisches Schwein; Italy: Apulo Calabrese, Casertana, Cinta Senese, Mora Romagnola, Nero Siciliano, Sarda; Lithuania: Indigenous Wattle, White Old Type; Portugal: Alentejana, Bísara; Serbia: Moravka, Swallow-Bellied Mangalitsa; Slovenia: Krškopolje pig; Spain: Iberian, Majorcan Black), and three commercial breeds (Duroc, Landrace and Large White) were sampled and genotyped with the GeneSeek Genomic Profiler (GGP) 70 K HD porcine genotyping chip. A dataset of 51 Wild Boars from nine countries was also added, summing up to 1186 pigs (~ 49 pigs/breed). The aim was to: (i) investigate individual admixture ancestries and (ii) assess breed traceability via discriminant analysis on principal components (DAPC). Albeit the mosaic of shared ancestries found for Nero Siciliano, Sarda and Moravka, admixture analysis indicated independent evolvement for the rest of the breeds. High prediction accuracy of DAPC mark SNP data as a reliable solution for the traceability of breed-specific pig products.
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7
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Flenkenthaler F, Ländström E, Shashikadze B, Backman M, Blutke A, Philippou-Massier J, Renner S, Hrabe de Angelis M, Wanke R, Blum H, Arnold GJ, Wolf E, Fröhlich T. Differential Effects of Insulin-Deficient Diabetes Mellitus on Visceral vs. Subcutaneous Adipose Tissue-Multi-omics Insights From the Munich MIDY Pig Model. Front Med (Lausanne) 2021; 8:751277. [PMID: 34888323 PMCID: PMC8650062 DOI: 10.3389/fmed.2021.751277] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 10/25/2021] [Indexed: 12/18/2022] Open
Abstract
Adipose tissue (AT) is no longer considered to be responsible for energy storage only but is now recognized as a major endocrine organ that is distributed across different parts of the body and is actively involved in regulatory processes controlling energy homeostasis. Moreover, AT plays a crucial role in the development of metabolic disease such as diabetes. Recent evidence has shown that adipokines have the ability to regulate blood glucose levels and improve metabolic homeostasis. While AT has been studied extensively in the context of type 2 diabetes, less is known about how different AT types are affected by absolute insulin deficiency in type 1 or permanent neonatal diabetes mellitus. Here, we analyzed visceral and subcutaneous AT in a diabetic, insulin-deficient pig model (MIDY) and wild-type (WT) littermate controls by RNA sequencing and quantitative proteomics. Multi-omics analysis indicates a depot-specific dysregulation of crucial metabolic pathways in MIDY AT samples. We identified key proteins involved in glucose uptake and downstream signaling, lipogenesis, lipolysis and β-oxidation to be differentially regulated between visceral and subcutaneous AT in response to insulin deficiency. Proteins related to glycogenolysis, pyruvate metabolism, TCA cycle and lipogenesis were increased in subcutaneous AT, whereas β-oxidation-related proteins were increased in visceral AT from MIDY pigs, pointing at a regionally different metabolic adaptation to master energy stress arising from diminished glucose utilization in MIDY AT. Chronic, absolute insulin deficiency and hyperglycemia revealed fat depot-specific signatures using multi-omics analysis. The generated datasets are a valuable resource for further comparative and translational studies in clinical diabetes research.
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Affiliation(s)
- Florian Flenkenthaler
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,German Center for Diabetes Research (DZD), Oberschleißheim, Germany
| | - Erik Ländström
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Gene Center, Graduate School of Quantitative Biosciences Munich (QBM), Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Bachuki Shashikadze
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Mattias Backman
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Gene Center, Graduate School of Quantitative Biosciences Munich (QBM), Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Andreas Blutke
- Helmholtz Zentrum München, Institute of Experimental Genetics, Oberschleißheim, Germany
| | - Julia Philippou-Massier
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,German Center for Diabetes Research (DZD), Oberschleißheim, Germany
| | - Simone Renner
- German Center for Diabetes Research (DZD), Oberschleißheim, Germany.,Department of Veterinary Sciences, Gene Center, Institute for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität (LMU) Munich, Oberschleißheim, Germany
| | - Martin Hrabe de Angelis
- German Center for Diabetes Research (DZD), Oberschleißheim, Germany.,Helmholtz Zentrum München, Institute of Experimental Genetics, Technical University of Munich, Munich, Germany
| | - Rüdiger Wanke
- Center for Clinical Veterinary Medicine, Institute of Veterinary Pathology, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Georg J Arnold
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Eckhard Wolf
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,German Center for Diabetes Research (DZD), Oberschleißheim, Germany.,Department of Veterinary Sciences, Gene Center, Institute for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität (LMU) Munich, Oberschleißheim, Germany
| | - Thomas Fröhlich
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
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8
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Alam M, Arunagiri A, Haataja L, Torres M, Larkin D, Kappler J, Jin N, Arvan P. Predisposition to Proinsulin Misfolding as a Genetic Risk to Diet-Induced Diabetes. Diabetes 2021; 70:2580-2594. [PMID: 34462258 PMCID: PMC8564407 DOI: 10.2337/db21-0422] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/10/2021] [Indexed: 02/06/2023]
Abstract
Throughout evolution, proinsulin has exhibited significant sequence variation in both C-peptide and insulin moieties. As the proinsulin coding sequence evolves, the gene product continues to be under selection pressure both for ultimate insulin bioactivity and for the ability of proinsulin to be folded for export through the secretory pathway of pancreatic β-cells. The substitution proinsulin-R(B22)E is known to yield a bioactive insulin, although R(B22)Q has been reported as a mutation that falls within the spectrum of mutant INS-gene-induced diabetes of youth. Here, we have studied mice expressing heterozygous (or homozygous) proinsulin-R(B22)E knocked into the Ins2 locus. Neither females nor males bearing the heterozygous mutation developed diabetes at any age examined, but subtle evidence of increased proinsulin misfolding in the endoplasmic reticulum is demonstrable in isolated islets from the heterozygotes. Moreover, males have indications of glucose intolerance, and within a few weeks of exposure to a high-fat diet, they developed frank diabetes. Diabetes was more severe in homozygotes, and the development of disease paralleled a progressive heterogeneity of β-cells with increasing fractions of proinsulin-rich/insulin-poor cells as well as glucagon-positive cells. Evidently, subthreshold predisposition to proinsulin misfolding can go undetected but provides genetic susceptibility to diet-induced β-cell failure.
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Affiliation(s)
- Maroof Alam
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan Medical School, Ann Arbor, MI
| | - Anoop Arunagiri
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan Medical School, Ann Arbor, MI
| | - Leena Haataja
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan Medical School, Ann Arbor, MI
| | - Mauricio Torres
- Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI
| | - Dennis Larkin
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan Medical School, Ann Arbor, MI
| | - John Kappler
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Immunology and Genomic Medicine, National Jewish Health, Denver, CO
| | - Niyun Jin
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Immunology and Genomic Medicine, National Jewish Health, Denver, CO
| | - Peter Arvan
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan Medical School, Ann Arbor, MI
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9
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Nagaya M, Hasegawa K, Uchikura A, Nakano K, Watanabe M, Umeyama K, Matsunari H, Osafune K, Kobayashi E, Nakauchi H, Nagashima H. Feasibility of large experimental animal models in testing novel therapeutic strategies for diabetes. World J Diabetes 2021; 12:306-330. [PMID: 33889282 PMCID: PMC8040081 DOI: 10.4239/wjd.v12.i4.306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 01/30/2021] [Accepted: 03/11/2021] [Indexed: 02/06/2023] Open
Abstract
Diabetes is among the top 10 causes of death in adults and caused approximately four million deaths worldwide in 2017. The incidence and prevalence of diabetes is predicted to increase. To alleviate this potentially severe situation, safer and more effective therapeutics are urgently required. Mice have long been the mainstay as preclinical models for basic research on diabetes, although they are not ideally suited for translating basic knowledge into clinical applications. To validate and optimize novel therapeutics for safe application in humans, an appropriate large animal model is needed. Large animals, especially pigs, are well suited for biomedical research and share many similarities with humans, including body size, anatomical features, physiology, and pathophysiology. Moreover, pigs already play an important role in translational studies, including clinical trials for xenotransplantation. Progress in genetic engineering over the past few decades has facilitated the development of transgenic animals, including porcine models of diabetes. This article discusses features that attest to the attractiveness of genetically modified porcine models of diabetes for testing novel treatment strategies using recent technical advances.
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Affiliation(s)
- Masaki Nagaya
- Meiji University International Institute for Bio-Resource Research, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Department of Immunology, St. Marianna University School of Medicine, Kawasaki 261-8511, Kanagawa, Japan
| | - Koki Hasegawa
- Laboratory of Medical Bioengineering, Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
| | - Ayuko Uchikura
- Laboratory of Medical Bioengineering, Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
| | - Kazuaki Nakano
- Meiji University International Institute for Bio-Resource Research, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Laboratory of Medical Bioengineering, Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Research and Development, PorMedTec Co. Ltd, Kawasaki 214-0034, Kanagawa, Japan
| | - Masahito Watanabe
- Meiji University International Institute for Bio-Resource Research, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Laboratory of Medical Bioengineering, Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Research and Development, PorMedTec Co. Ltd, Kawasaki 214-0034, Kanagawa, Japan
| | - Kazuhiro Umeyama
- Meiji University International Institute for Bio-Resource Research, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Laboratory of Medical Bioengineering, Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Research and Development, PorMedTec Co. Ltd, Kawasaki 214-0034, Kanagawa, Japan
| | - Hitomi Matsunari
- Meiji University International Institute for Bio-Resource Research, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Laboratory of Medical Bioengineering, Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
| | - Kenji Osafune
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Kyoto, Japan
| | - Eiji Kobayashi
- Department of Organ Fabrication, Keio University School of Medicine, Shinjuku 160-8582, Tokyo, Japan
| | - Hiromitsu Nakauchi
- Institute for Stem Cell Biology and Regenerative Medicine, Department of Genetics, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, United States
- Division of Stem Cell Therapy, Institute of Medical Science, The University of Tokyo, Minato 108-8639, Tokyo, Japan
| | - Hiroshi Nagashima
- Meiji University International Institute for Bio-Resource Research, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
- Laboratory of Medical Bioengineering, Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki 214-8571, Kanagawa, Japan
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10
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Wylensek D, Hitch TCA, Riedel T, Afrizal A, Kumar N, Wortmann E, Liu T, Devendran S, Lesker TR, Hernández SB, Heine V, Buhl EM, M D'Agostino P, Cumbo F, Fischöder T, Wyschkon M, Looft T, Parreira VR, Abt B, Doden HL, Ly L, Alves JMP, Reichlin M, Flisikowski K, Suarez LN, Neumann AP, Suen G, de Wouters T, Rohn S, Lagkouvardos I, Allen-Vercoe E, Spröer C, Bunk B, Taverne-Thiele AJ, Giesbers M, Wells JM, Neuhaus K, Schnieke A, Cava F, Segata N, Elling L, Strowig T, Ridlon JM, Gulder TAM, Overmann J, Clavel T. A collection of bacterial isolates from the pig intestine reveals functional and taxonomic diversity. Nat Commun 2020; 11:6389. [PMID: 33319778 PMCID: PMC7738495 DOI: 10.1038/s41467-020-19929-w] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 11/02/2020] [Indexed: 02/08/2023] Open
Abstract
Our knowledge about the gut microbiota of pigs is still scarce, despite the importance of these animals for biomedical research and agriculture. Here, we present a collection of cultured bacteria from the pig gut, including 110 species across 40 families and nine phyla. We provide taxonomic descriptions for 22 novel species and 16 genera. Meta-analysis of 16S rRNA amplicon sequence data and metagenome-assembled genomes reveal prevalent and pig-specific species within Lactobacillus, Streptococcus, Clostridium, Desulfovibrio, Enterococcus, Fusobacterium, and several new genera described in this study. Potentially interesting functions discovered in these organisms include a fucosyltransferase encoded in the genome of the novel species Clostridium porci, and prevalent gene clusters for biosynthesis of sactipeptide-like peptides. Many strains deconjugate primary bile acids in in vitro assays, and a Clostridium scindens strain produces secondary bile acids via dehydroxylation. In addition, cells of the novel species Bullifex porci are coccoidal or spherical under the culture conditions tested, in contrast with the usual helical shape of other members of the family Spirochaetaceae. The strain collection, called ‘Pig intestinal bacterial collection’ (PiBAC), is publicly available at www.dsmz.de/pibac and opens new avenues for functional studies of the pig gut microbiota. The authors present a public collection of 117 bacterial isolates from the pig gut, including the description of 38 novel taxa. Interesting functions discovered in these organisms include a new fucosyltransferease and sactipeptide-like molecules encoded by biosynthetic gene clusters.
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Affiliation(s)
- David Wylensek
- Functional Microbiome Research Group, RWTH University Hospital, Aachen, Germany
| | - Thomas C A Hitch
- Functional Microbiome Research Group, RWTH University Hospital, Aachen, Germany
| | - Thomas Riedel
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.,German Center for Infection Research (DZIF), Partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Afrizal Afrizal
- Functional Microbiome Research Group, RWTH University Hospital, Aachen, Germany
| | - Neeraj Kumar
- Functional Microbiome Research Group, RWTH University Hospital, Aachen, Germany.,ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Esther Wortmann
- Functional Microbiome Research Group, RWTH University Hospital, Aachen, Germany
| | - Tianzhe Liu
- Chair of Technical Biochemistry, Technical University of Dresden, Dresden, Germany
| | - Saravanan Devendran
- Microbiome Metabolic Engineering Theme, Carl R. Woese Institute for Genomic Biology, Urbana, IL, USA.,Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Till R Lesker
- Department of Microbial Immune Regulation, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Sara B Hernández
- Laboratory for Molecular Infection Medicine Sweden (MIMS), Department of Molecular Biology, Umeå University, Umeå, Sweden
| | - Viktoria Heine
- Laboratory for Biomaterials, Institute for Biotechnology and Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany
| | - Eva M Buhl
- Electron Microscopy Facility, Institute of Pathology, RWTH University Hospital, Aachen, Germany
| | - Paul M D'Agostino
- Chair of Technical Biochemistry, Technical University of Dresden, Dresden, Germany
| | - Fabio Cumbo
- Department CIBIO, University of Trento, Trento, Italy
| | - Thomas Fischöder
- Laboratory for Biomaterials, Institute for Biotechnology and Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany
| | - Marzena Wyschkon
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.,German Center for Infection Research (DZIF), Partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Torey Looft
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA
| | - Valeria R Parreira
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, Canada
| | - Birte Abt
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.,German Center for Infection Research (DZIF), Partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Heidi L Doden
- Microbiome Metabolic Engineering Theme, Carl R. Woese Institute for Genomic Biology, Urbana, IL, USA.,Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Lindsey Ly
- Microbiome Metabolic Engineering Theme, Carl R. Woese Institute for Genomic Biology, Urbana, IL, USA.,Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - João M P Alves
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Krzysztof Flisikowski
- Chair of Livestock Biotechnology, Weihenstephan School of Life Science, Technical University of Munich, Freising, Germany
| | - Laura Navarro Suarez
- Institute of Food Chemistry, Hamburg School of Food Science, University of Hamburg, Hamburg, Germany
| | - Anthony P Neumann
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | - Garret Suen
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Sascha Rohn
- Institute of Food Chemistry, Hamburg School of Food Science, University of Hamburg, Hamburg, Germany.,Institute of Food Technolgy and Food Chemistry, Technische Universität Berlin, Berlin, Germany
| | - Ilias Lagkouvardos
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany.,Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Center of Marine Research, Heraklion, Greece
| | - Emma Allen-Vercoe
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, Canada
| | - Cathrin Spröer
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Boyke Bunk
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Anja J Taverne-Thiele
- Host-Microbe Interactomics Group, Department of Animal Science, Wageningen University, Wageningen, The Netherlands
| | - Marcel Giesbers
- Electron Microscopy Center, Wageningen University, Wageningen, The Netherlands
| | - Jerry M Wells
- Host-Microbe Interactomics Group, Department of Animal Science, Wageningen University, Wageningen, The Netherlands
| | - Klaus Neuhaus
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Angelika Schnieke
- ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany.,Chair of Livestock Biotechnology, Weihenstephan School of Life Science, Technical University of Munich, Freising, Germany
| | - Felipe Cava
- Laboratory for Molecular Infection Medicine Sweden (MIMS), Department of Molecular Biology, Umeå University, Umeå, Sweden
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy
| | - Lothar Elling
- Laboratory for Biomaterials, Institute for Biotechnology and Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany
| | - Till Strowig
- Department of Microbial Immune Regulation, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Hannover Medical School, Hannover, Germany
| | - Jason M Ridlon
- Microbiome Metabolic Engineering Theme, Carl R. Woese Institute for Genomic Biology, Urbana, IL, USA.,Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Tobias A M Gulder
- Chair of Technical Biochemistry, Technical University of Dresden, Dresden, Germany
| | - Jörg Overmann
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.,German Center for Infection Research (DZIF), Partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Thomas Clavel
- Functional Microbiome Research Group, RWTH University Hospital, Aachen, Germany.
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11
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Hinrichs A, Riedel EO, Klymiuk N, Blutke A, Kemter E, Längin M, Dahlhoff M, Keßler B, Kurome M, Zakhartchenko V, Jemiller EM, Ayares D, Bidlingmaier M, Flenkenthaler F, Hrabĕ de Angelis M, Arnold GJ, Reichart B, Fröhlich T, Wolf E. Growth hormone receptor knockout to reduce the size of donor pigs for preclinical xenotransplantation studies. Xenotransplantation 2020; 28:e12664. [PMID: 33241624 DOI: 10.1111/xen.12664] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/03/2020] [Accepted: 11/09/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Many genetically multi-modified donor lines for xenotransplantation have a background of domestic pigs with rapid body and organ growth. The intrinsic growth potential of porcine xeno-organs may impair their long-term function after orthotopic transplantation in non-human primate models. Since growth hormone is a major stimulator of postnatal growth, we deleted its receptor (GHR-KO) to reduce the size of donor pigs in one step. METHODS Heart weight and proteome profile of myocardium were investigated in GHR-KO and control pigs. GHR-KO mutations were introduced using CRISPR/Cas9 in an α1,3-galactosyltransferase (GGTA1)-deficient background expressing the human cluster of differentiation (hCD46) and human thrombomodulin (hTHBD) to generate quadruple-modified (4GM) pigs. RESULTS At age 6 months, GHR-KO pigs had a 61% reduced body weight and a 63% reduced heart weight compared with controls. The mean minimal diameter of cardiomyocytes was 28% reduced. A holistic proteome study of myocardium samples from the two groups did not reveal prominent differences. Two 4GM founder sows had low serum insulin-like growth factor 1 (IGF1) levels (24 ± 1 ng/mL) and reached body weights of 70.3 and 73.4 kg at 9 months. Control pigs with IGF1 levels of 228 ± 24 ng/mL reached this weight range three months earlier. The 4GM sows showed normal sexual development and were mated with genetically multi-modified boars. Offspring revealed the expected Mendelian transmission of the genetic modifications and consistent expression of the transgenes. CONCLUSION GHR-KO donor pigs can be used at an age beyond the steepest phase of their growth curve, potentially reducing the problem of xeno-organ overgrowth in preclinical studies.
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Affiliation(s)
- Arne Hinrichs
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), LMU Munich, Munich, Germany
| | - Evamaria O Riedel
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, Munich, Germany
| | - Nikolai Klymiuk
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), LMU Munich, Munich, Germany
| | - Andreas Blutke
- Institute of Experimental Genetics, Helmholtz Zentrum München, Chair of Experimental Genetics, Technical University of Munich, Neuherberg, Germany
| | - Elisabeth Kemter
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), LMU Munich, Munich, Germany
| | - Matthias Längin
- Department of Anaesthesiology, University Hospital, LMU Munich, Munich, Germany
| | - Maik Dahlhoff
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany
| | - Barbara Keßler
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), LMU Munich, Munich, Germany
| | - Mayuko Kurome
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), LMU Munich, Munich, Germany
| | - Valeri Zakhartchenko
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), LMU Munich, Munich, Germany
| | - Eva-Maria Jemiller
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), LMU Munich, Munich, Germany
| | | | - Martin Bidlingmaier
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Munich, Germany
| | - Florian Flenkenthaler
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, Munich, Germany
| | - Martin Hrabĕ de Angelis
- Institute of Experimental Genetics, Helmholtz Zentrum München, Chair of Experimental Genetics, Technical University of Munich, Neuherberg, Germany
| | - Georg J Arnold
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, Munich, Germany
| | - Bruno Reichart
- Walter Brendel Center for Experimental Medicine, LMU Munich, Munich, Germany
| | - Thomas Fröhlich
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, Munich, Germany
| | - Eckhard Wolf
- Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Gene Center, LMU Munich, Munich, Germany.,Center for Innovative Medical Models (CiMM), LMU Munich, Munich, Germany.,Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, Munich, Germany
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12
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Blutke A, Sun N, Xu Z, Buck A, Harrison L, Schriever SC, Pfluger PT, Wiles D, Kunzke T, Huber K, Schlegel J, Aichler M, Feuchtinger A, Matiasek K, Hauck SM, Walch A. Light sheet fluorescence microscopy guided MALDI-imaging mass spectrometry of cleared tissue samples. Sci Rep 2020; 10:14461. [PMID: 32879402 PMCID: PMC7468256 DOI: 10.1038/s41598-020-71465-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 08/10/2020] [Indexed: 02/08/2023] Open
Abstract
Light sheet fluorescence microscopy (LSFM) of optically cleared biological samples represents a powerful tool to analyze the 3-dimensional morphology of tissues and organs. Multimodal combinations of LSFM with additional analyses of the identical sample help to limit the consumption of restricted specimen and reduce inter-sample variation. Here, we demonstrate the proof-of-concept that LSFM of cleared brain tissue samples can be combined with Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI) for detection and quantification of proteins. Samples of freshly dissected murine brain and of archived formalin-fixed paraffin-embedded (FFPE) human brain tissue were cleared (3DISCO). Tissue regions of interest were defined by LSFM and excised, (re)-embedded in paraffin, and sectioned. Mouse sections were coated with sinapinic acid matrix. Human brain sections were pre-digested with trypsin and coated with α-cyano-4-hydroxycinnamic acid matrix. Subsequently, sections were subjected to MALDI-time-of-flight (TOF)-MSI in mass ranges between 0.8 to 4 kDa (human tissue sections), or 2.5–25 kDa (mouse tissue sections) with a lateral resolution of 50 µm. Protein- and peptide-identities corresponding to acquired MALDI-MSI spectra were confirmed by parallel liquid chromatography tandem mass spectrometry (LC–MS/MS) analysis. The spatial abundance- and intensity-patterns of established marker proteins detected by MALDI-MSI were also confirmed by immunohistochemistry.
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Affiliation(s)
- Andreas Blutke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Zhihao Xu
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Achim Buck
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Luke Harrison
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.,Division of Metabolic Diseases, Technische Universität München, 80333, Munich, Germany
| | - Sonja C Schriever
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Paul T Pfluger
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | | | - Thomas Kunzke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Katharina Huber
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Jürgen Schlegel
- Institute for Pathology, Department of Neuropathology, Technische Universität München, 80333, Munich, Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany.
| | - Kaspar Matiasek
- Institute for Veterinary Pathology at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, 80539, Munich, Germany
| | - Stefanie M Hauck
- Research Unit for Protein Science, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
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13
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Zettler S, Renner S, Kemter E, Hinrichs A, Klymiuk N, Backman M, Riedel EO, Mueller C, Streckel E, Braun-Reichhart C, Martins AS, Kurome M, Keßler B, Zakhartchenko V, Flenkenthaler F, Arnold GJ, Fröhlich T, Blum H, Blutke A, Wanke R, Wolf E. A decade of experience with genetically tailored pig models for diabetes and metabolic research. Anim Reprod 2020; 17:e20200064. [PMID: 33029223 PMCID: PMC7534555 DOI: 10.1590/1984-3143-ar2020-0064] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023] Open
Abstract
The global prevalence of diabetes mellitus and other metabolic diseases is rapidly increasing. Animal models play pivotal roles in unravelling disease mechanisms and developing and testing therapeutic strategies. Rodents are the most widely used animal models but may have limitations in their resemblance to human disease mechanisms and phenotypes. Findings in rodent models are consequently often difficult to extrapolate to human clinical trials. To overcome this ‘translational gap’, we and other groups are developing porcine disease models. Pigs share many anatomical and physiological traits with humans and thus hold great promise as translational animal models. Importantly, the toolbox for genetic engineering of pigs is rapidly expanding. Human disease mechanisms and targets can therefore be reproduced in pigs on a molecular level, resulting in precise and predictive porcine (PPP) models. In this short review, we summarize our work on the development of genetically (pre)diabetic pig models and how they have been used to study disease mechanisms and test therapeutic strategies. This includes the generation of reporter pigs for studying beta-cell maturation and physiology. Furthermore, genetically engineered pigs are promising donors of pancreatic islets for xenotransplantation. In summary, genetically tailored pig models have become an important link in the chain of translational diabetes and metabolic research.
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Affiliation(s)
- Silja Zettler
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany.,German Center for Diabetes Research, Neuherberg, Germany
| | - Simone Renner
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany.,German Center for Diabetes Research, Neuherberg, Germany
| | - Elisabeth Kemter
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany.,German Center for Diabetes Research, Neuherberg, Germany
| | - Arne Hinrichs
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | - Nikolai Klymiuk
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | - Mattias Backman
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich
| | | | - Christiane Mueller
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | - Elisabeth Streckel
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | - Christina Braun-Reichhart
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | - Ana Sofia Martins
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | - Mayuko Kurome
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | - Barbara Keßler
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | - Valeri Zakhartchenko
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany
| | | | - Georg Josef Arnold
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich
| | - Thomas Fröhlich
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich
| | - Andreas Blutke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Rüdiger Wanke
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, LMU Munich, Munich, Germany
| | - Eckhard Wolf
- Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Munich, Germany.,Center for Innovative Medical Models, Department of Veterinary Sciences, LMU Munich, Oberschleißheim, Germany.,German Center for Diabetes Research, Neuherberg, Germany.,Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich
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14
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Riedel EO, Hinrichs A, Kemter E, Dahlhoff M, Backman M, Rathkolb B, Prehn C, Adamski J, Renner S, Blutke A, de Angelis MH, Bidlingmaier M, Schopohl J, Arnold GJ, Fröhlich T, Wolf E. Functional changes of the liver in the absence of growth hormone (GH) action - Proteomic and metabolomic insights from a GH receptor deficient pig model. Mol Metab 2020; 36:100978. [PMID: 32277923 DOI: 10.1016/j.molmet.2020.100978] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 03/07/2020] [Accepted: 03/10/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE The liver is a central target organ of growth hormone (GH), which stimulates the synthesis of insulin-like growth factor 1 (IGF1) and affects multiple biochemical pathways. A systematic multi-omics analysis of GH effects in the liver has not been performed. GH receptor (GHR) deficiency is a unique model for studying the consequences of lacking GH action. In this study, we used molecular profiling techniques to capture a broad spectrum of these effects in the liver of a clinically relevant large animal model for Laron syndrome. METHODS We performed holistic proteome and targeted metabolome analyses of liver samples from 6-month-old GHR-deficient (GHR-KO) pigs and GHR-expressing controls (four males, four females per group). RESULTS GHR deficiency resulted in an increased abundance of enzymes involved in amino acid degradation, in the urea cycle, and in the tricarboxylic acid cycle. A decreased ratio of long-chain acylcarnitines to free carnitine suggested reduced activity of carnitine palmitoyltransferase 1A and thus reduced mitochondrial import of fatty acids for beta-oxidation. Increased levels of short-chain acylcarnitines in the liver and in the circulation of GHR-KO pigs may result from impaired beta-oxidation of short-chain fatty acids or from increased degradation of specific amino acids. The concentration of mono-unsaturated glycerophosphocholines was significantly increased in the liver of GHR-KO pigs without morphological signs of steatosis, although the abundances of several proteins functionally linked to non-alcoholic fatty liver disease (fetuin B, retinol binding protein 4, several mitochondrial proteins) were increased. Moreover, GHR-deficient liver samples revealed distinct changes in the methionine and glutathione metabolic pathways, in particular, a significantly increased level of glycine N-methyltransferase and increased levels of total and free glutathione. Several proteins revealed a sex-related abundance difference in the control group but not in the GHR-KO group. CONCLUSIONS Our integrated proteomics/targeted metabolomics study of GHR-deficient and control liver samples from a clinically relevant large animal model identified a spectrum of biological pathways that are significantly altered in the absence of GH action. Moreover, new insights into the role of GH in the sex-related specification of liver functions were provided.
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15
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Clauss S, Bleyer C, Schüttler D, Tomsits P, Renner S, Klymiuk N, Wakili R, Massberg S, Wolf E, Kääb S. Animal models of arrhythmia: classic electrophysiology to genetically modified large animals. Nat Rev Cardiol 2020; 16:457-475. [PMID: 30894679 DOI: 10.1038/s41569-019-0179-0] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Arrhythmias are common and contribute substantially to cardiovascular morbidity and mortality. The underlying pathophysiology of arrhythmias is complex and remains incompletely understood, which explains why mostly only symptomatic therapy is available. The evaluation of the complex interplay between various cell types in the heart, including cardiomyocytes from the conduction system and the working myocardium, fibroblasts and cardiac immune cells, remains a major challenge in arrhythmia research because it can be investigated only in vivo. Various animal species have been used, and several disease models have been developed to study arrhythmias. Although every species is useful and might be ideal to study a specific hypothesis, we suggest a practical trio of animal models for future use: mice for genetic investigations, mechanistic evaluations or early studies to identify potential drug targets; rabbits for studies on ion channel function, repolarization or re-entrant arrhythmias; and pigs for preclinical translational studies to validate previous findings. In this Review, we provide a comprehensive overview of different models and currently used species for arrhythmia research, discuss their advantages and disadvantages and provide guidance for researchers who are considering performing in vivo studies.
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Affiliation(s)
- Sebastian Clauss
- Department of Medicine I, University Hospital Munich, Campus Grosshadern, Ludwig-Maximilians University Munich (LMU), Munich, Germany. .,DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), Munich, Germany.
| | - Christina Bleyer
- Department of Medicine I, University Hospital Munich, Campus Grosshadern, Ludwig-Maximilians University Munich (LMU), Munich, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), Munich, Germany
| | - Dominik Schüttler
- Department of Medicine I, University Hospital Munich, Campus Grosshadern, Ludwig-Maximilians University Munich (LMU), Munich, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), Munich, Germany
| | - Philipp Tomsits
- Department of Medicine I, University Hospital Munich, Campus Grosshadern, Ludwig-Maximilians University Munich (LMU), Munich, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), Munich, Germany
| | - Simone Renner
- Institute of Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians University Munich (LMU), Munich, Germany.,DZD (German Centre for Diabetes Research), Neuherberg, Germany
| | - Nikolai Klymiuk
- Institute of Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians University Munich (LMU), Munich, Germany
| | - Reza Wakili
- Universitätsklinikum Essen, Westdeutsches Herz- und Gefäßzentrum Essen, Essen, Germany
| | - Steffen Massberg
- Department of Medicine I, University Hospital Munich, Campus Grosshadern, Ludwig-Maximilians University Munich (LMU), Munich, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), Munich, Germany
| | - Eckhard Wolf
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), Munich, Germany.,Institute of Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians University Munich (LMU), Munich, Germany.,DZD (German Centre for Diabetes Research), Neuherberg, Germany
| | - Stefan Kääb
- Department of Medicine I, University Hospital Munich, Campus Grosshadern, Ludwig-Maximilians University Munich (LMU), Munich, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich, Munich Heart Alliance (MHA), Munich, Germany
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16
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Renner S, Blutke A, Clauss S, Deeg CA, Kemter E, Merkus D, Wanke R, Wolf E. Porcine models for studying complications and organ crosstalk in diabetes mellitus. Cell Tissue Res 2020; 380:341-78. [PMID: 31932949 DOI: 10.1007/s00441-019-03158-9] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 11/28/2019] [Indexed: 02/06/2023]
Abstract
The worldwide prevalence of diabetes mellitus and obesity is rapidly increasing not only in adults but also in children and adolescents. Diabetes is associated with macrovascular complications increasing the risk for cardiovascular disease and stroke, as well as microvascular complications leading to diabetic nephropathy, retinopathy and neuropathy. Animal models are essential for studying disease mechanisms and for developing and testing diagnostic procedures and therapeutic strategies. Rodent models are most widely used but have limitations in translational research. Porcine models have the potential to bridge the gap between basic studies and clinical trials in human patients. This article provides an overview of concepts for the development of porcine models for diabetes and obesity research, with a focus on genetically engineered models. Diabetes-associated ocular, cardiovascular and renal alterations observed in diabetic pig models are summarized and their similarities with complications in diabetic patients are discussed. Systematic multi-organ biobanking of porcine models of diabetes and obesity and molecular profiling of representative tissue samples on different levels, e.g., on the transcriptome, proteome, or metabolome level, is proposed as a strategy for discovering tissue-specific pathomechanisms and their molecular key drivers using systems biology tools. This is exemplified by a recent study providing multi-omics insights into functional changes of the liver in a transgenic pig model for insulin-deficient diabetes mellitus. Collectively, these approaches will provide a better understanding of organ crosstalk in diabetes mellitus and eventually reveal new molecular targets for the prevention, early diagnosis and treatment of diabetes mellitus and its associated complications.
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17
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Abstract
Safe and reliable large animal diabetes models are a key prerequisite for advanced preclinical studies on diabetes. Chemical induction is the standard model of diabetes in rodents but is often critiqued in higher animals due to reduced efficacy, relevant side effects, and inadequate mortality rate. In this chapter, we aim to describe both pharmacological and surgical approaches for reproducible and safe diabetes models in minipigs and primates. In addition, genetically modified pig models for diabetes research are described.
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Affiliation(s)
- Barbara Ludwig
- Department of Medicine III, University Hospital Carl Gustav Carus, Dresden, Germany. .,Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at the University Hospital Carl Gustav Carus and Faculty of Medicine of the TU Dresden, Dresden, Germany. .,DFG-Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany. .,Department of Endocrinology and Diabetology, University Hospital Zurich, Zurich, Switzerland.
| | - Eckhard Wolf
- Department of Molecular Animal Breeding and Biotechnology, Ludwig Maximilian University, Munich, Germany
| | - Uwe Schönmann
- German Primate Center, Leibniz-Institute for Primate Research, Göttingen, Germany
| | - Stefan Ludwig
- Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Dresden, Germany
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18
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Morishita Y, Arvan P. Lessons from animal models of endocrine disorders caused by defects of protein folding in the secretory pathway. Mol Cell Endocrinol 2020; 499:110613. [PMID: 31605742 PMCID: PMC6886696 DOI: 10.1016/j.mce.2019.110613] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 09/26/2019] [Accepted: 10/04/2019] [Indexed: 02/06/2023]
Abstract
Most peptide hormones originate from secretory protein precursors synthesized within the endoplasmic reticulum (ER). In this specialized organelle, the newly-made prohormones must fold to their native state. Completion of prohormone folding usually occurs prior to migration through the secretory pathway, as unfolded/misfolded prohormones are retained by mechanisms collectively known as ER quality control. Not only do most monomeric prohormones need to fold properly, but many also dimerize or oligomerize within the ER. If oligomerization occurs before completion of monomer folding then when a poorly folded peptide prohormone is retained by quality control mechanisms, it may confer ER retention upon its oligomerization partners. Conversely, oligomerization between well-folded and improperly folded partners might help to override ER quality control, resulting in rescue of misfolded forms. Both scenarios appear to be possible in different animal models of endocrine disorders caused by genetic defects of protein folding in the secretory pathway. In this paper, we briefly review three such conditions, including familial neurohypophyseal diabetes insipidus, insulin-deficient diabetes mellitus, and hypothyroidism with defective thyroglobulin.
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Affiliation(s)
- Yoshiaki Morishita
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan.
| | - Peter Arvan
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan School of Medicine, Brehm Tower Room 5112, 1000, Wall St., Ann Arbor, MI, USA.
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19
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Arunagiri A, Haataja L, Pottekat A, Pamenan F, Kim S, Zeltser LM, Paton AW, Paton JC, Tsai B, Itkin-Ansari P, Kaufman RJ, Liu M, Arvan P. Proinsulin misfolding is an early event in the progression to type 2 diabetes. eLife 2019; 8:44532. [PMID: 31184302 PMCID: PMC6559786 DOI: 10.7554/elife.44532] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 04/09/2019] [Indexed: 02/06/2023] Open
Abstract
Biosynthesis of insulin – critical to metabolic homeostasis – begins with folding of the proinsulin precursor, including formation of three evolutionarily conserved intramolecular disulfide bonds. Remarkably, normal pancreatic islets contain a subset of proinsulin molecules bearing at least one free cysteine thiol. In human (or rodent) islets with a perturbed endoplasmic reticulum folding environment, non-native proinsulin enters intermolecular disulfide-linked complexes. In genetically obese mice with otherwise wild-type islets, disulfide-linked complexes of proinsulin are more abundant, and leptin receptor-deficient mice, the further increase of such complexes tracks with the onset of islet insulin deficiency and diabetes. Proinsulin-Cys(B19) and Cys(A20) are necessary and sufficient for the formation of proinsulin disulfide-linked complexes; indeed, proinsulin Cys(B19)-Cys(B19) covalent homodimers resist reductive dissociation, highlighting a structural basis for aberrant proinsulin complex formation. We conclude that increased proinsulin misfolding via disulfide-linked complexes is an early event associated with prediabetes that worsens with ß-cell dysfunction in type two diabetes. Our body fine-tunes the amount of sugar in our blood thanks to specialized ‘beta cells’ in the pancreas, which can release a hormone called insulin. To produce insulin, the beta cells first need to build an early version of the molecule – known as proinsulin – inside a cellular compartment called the endoplasmic reticulum. This process involves the formation of internal staples that keep the molecule of proinsulin folded correctly. Individuals developing type 2 diabetes have spikes of sugar in their blood, and so their bodies often respond by trying to make large amounts of insulin. After a while, the beta cells can fail to keep up, which brings on the full-blown disease. However, scientists have discovered that early in type 2 diabetes, the endoplasmic reticulum of beta cells can already show signs of stress; yet, the exact causes of this early damage are still unknown. To investigate this, Arunagiri et al. looked into whether proinsulin folds correctly during the earliest stages of type 2 diabetes. Biochemical experiments showed that even healthy beta cells contained some misfolded proinsulin molecules, where the molecular staples that should fold proinsulin internally were instead abnormally linking proinsulin molecules together. Further work revealed that the misfolded proinsulin was accumulating inside the endoplasmic reticulum. Finally, obese mice that were in the earliest stages of type 2 diabetes had the highest levels of abnormal proinsulin in their beta cells. Overall, the work by Arunagiri et al. suggests that large amounts of proinsulin molecules stapling themselves to each other in the endoplasmic reticulum of beta cells could be an early hallmark of the disease, and could make it get worse. A separate study by Jang et al. also shows that a protein that limits the misfolding of proinsulin is key to maintain successful insulin production in animals eating a Western-style, high fat diet. Hundreds of millions of people around the world have type 2 diabetes, and this number is rising quickly. Detecting and then fixing early problems associated with the condition may help to stop the disease in its track.
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Affiliation(s)
- Anoop Arunagiri
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor, United States
| | - Leena Haataja
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor, United States
| | - Anita Pottekat
- Degenerative Diseases Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, United States
| | - Fawnnie Pamenan
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor, United States
| | - Soohyun Kim
- Department of Biomedical Science and Technology, Konkuk University, Gwangjin-gu, Republic of Korea
| | - Lori M Zeltser
- Department of Pathology and Cell Biology, Naomi Berrie Diabetes Center, Columbia University, New York, United States
| | - Adrienne W Paton
- Research Centre for Infectious Diseases, Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, Australia
| | - James C Paton
- Research Centre for Infectious Diseases, Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, Australia
| | - Billy Tsai
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, United States
| | - Pamela Itkin-Ansari
- Development, Aging and Regeneration Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, United States
| | - Randal J Kaufman
- Degenerative Diseases Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, United States
| | - Ming Liu
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor, United States.,Department of Endocrinology and Metabolism, Tianjin Medical University, Tianjin, China
| | - Peter Arvan
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor, United States
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20
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Backman M, Flenkenthaler F, Blutke A, Dahlhoff M, Ländström E, Renner S, Philippou-Massier J, Krebs S, Rathkolb B, Prehn C, Grzybek M, Coskun Ü, Rothe M, Adamski J, de Angelis MH, Wanke R, Fröhlich T, Arnold GJ, Blum H, Wolf E. Multi-omics insights into functional alterations of the liver in insulin-deficient diabetes mellitus. Mol Metab 2019; 26:30-44. [PMID: 31221621 PMCID: PMC6667734 DOI: 10.1016/j.molmet.2019.05.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/20/2019] [Accepted: 05/30/2019] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE The liver regulates the availability of insulin to other tissues and is the first line insulin response organ physiologically exposed to higher insulin concentrations than the periphery. Basal insulin during fasting inhibits hepatic gluconeogenesis and glycogenolysis, whereas postprandial insulin peaks stimulate glycogen synthesis. The molecular consequences of chronic insulin deficiency for the liver have not been studied systematically. METHODS We analyzed liver samples of a genetically diabetic pig model (MIDY) and of wild-type (WT) littermate controls by RNA sequencing, proteomics, and targeted metabolomics/lipidomics. RESULTS Cross-omics analyses revealed increased activities in amino acid metabolism, oxidation of fatty acids, ketogenesis, and gluconeogenesis in the MIDY samples. In particular, the concentrations of the ketogenic enzyme 3-hydroxy-3-methylglutaryl-CoA synthase 2 (HMGCS2) and of retinol dehydrogenase 16 (RDH16), which catalyzes the first step in retinoic acid biogenesis, were highly increased. Accordingly, elevated levels of retinoic acid, which stimulates the expression of the gluconeogenic enzyme phosphoenolpyruvate carboxykinase (PCK1), were measured in the MIDY samples. In contrast, pathways related to extracellular matrix and inflammation/pathogen defense response were less active than in the WT samples. CONCLUSIONS The first multi-omics study of a clinically relevant diabetic large animal model revealed molecular signatures and key drivers of functional alterations of the liver in insulin-deficient diabetes mellitus. The multi-omics data set provides a valuable resource for comparative analyses with other experimental or clinical data sets.
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Affiliation(s)
- Mattias Backman
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; Graduate School of Quantitative Biosciences Munich (QBM), Gene Center, LMU Munich, 81377 Munich, Germany
| | - Florian Flenkenthaler
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Andreas Blutke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Maik Dahlhoff
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany
| | - Erik Ländström
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; Graduate School of Quantitative Biosciences Munich (QBM), Gene Center, LMU Munich, 81377 Munich, Germany
| | - Simone Renner
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
| | - Julia Philippou-Massier
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany
| | - Birgit Rathkolb
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; German Mouse Clinic (GMC), Institute of Experimental Genetics, 85764 Neuherberg, Germany
| | - Cornelia Prehn
- Research Unit of Molecular Endocrinology and Metabolism (MEM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Michal Grzybek
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Paul Langerhans Institute Dresden of the Helmholtz Zentrum München at the University Hospital, Faculty of Medicine Carl Gustav Carus of TU Dresden, 01307 Dresden, Germany
| | - Ünal Coskun
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Paul Langerhans Institute Dresden of the Helmholtz Zentrum München at the University Hospital, Faculty of Medicine Carl Gustav Carus of TU Dresden, 01307 Dresden, Germany
| | | | - Jerzy Adamski
- Research Unit of Molecular Endocrinology and Metabolism (MEM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, 85764 Neuherberg, Germany; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Martin Hrabĕ de Angelis
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; German Mouse Clinic (GMC), Institute of Experimental Genetics, 85764 Neuherberg, Germany; Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, 85764 Neuherberg, Germany
| | - Rüdiger Wanke
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, LMU Munich, 80539 Munich, Germany
| | - Thomas Fröhlich
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany
| | - Georg J Arnold
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany
| | - Eckhard Wolf
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany; Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany.
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Bovo S, Di Luca A, Galimberti G, Dall'Olio S, Fontanesi L. A comparative analysis of label-free liquid chromatography-mass spectrometry liver proteomic profiles highlights metabolic differences between pig breeds. PLoS One 2018; 13:e0199649. [PMID: 30208024 DOI: 10.1371/journal.pone.0199649] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 08/28/2018] [Indexed: 02/01/2023] Open
Abstract
The liver is a complex organ governing several physiological processes that define biological mechanisms affecting growth, feed efficiency and performance traits in all livestock species, including pig. Proteomics may contribute to a better understanding of the relationship between liver functions and complex production traits in pigs and to characterize this species as biomedical model. This study applied, for the first time, a label‐free liquid chromatography-mass spectrometry (LC‐MS) proteomic approach to compare the liver proteome profiles of two important heavy pig breeds, Italian Duroc and Italian Large White. Liver specimens were collected (after slaughtering) from performance tested pigs of these two breeds, raised in standard conditions. The label‐free LC‐MS method captured a total of 501 proteins of which 200 were subsequently considered in the between breeds comparison. A statistical pipeline based on the sparse Partial Least Squares Discriminant Analysis (sPLS-DA), coupled with stability and significance tests, was applied for the identification of up or down regulated proteins between breeds. This analysis revealed a total of 25 proteins clearly separating Italian Duroc and Italian Large White pigs. Among the top proteins differentiating the two breeds, 3-ketoacyl-CoA thiolase, mitochondrial (ACAA2) and histone H2B type 2-F (HIST2H2BF) were up-regulated in Italian Duroc pigs and carboxylesterase 3 (CES3) and ketohexokinase (KHK) were up-regulated in Italian Large White pigs. Fatty acid synthase (FASN), involved in fatty acid metabolism and encoded by a gene located in a QTL region for fatty acid composition, was up-regulated in Italian Large White pigs. The in silico protein interaction analysis showed that 16 of these proteins were connected in one big module. Bioinformatic functional analysis indicated that differentially expressed proteins were involved in several biological processes related to the metabolism of lipids, amino-acids, carbohydrates, cofactors and antibiotics/drugs, suggesting that these functions might distinguish Italian Duroc and Italian Large White pigs. This pilot comparative proteomic analysis of the porcine liver highlighted several biological factors that could determine the peculiar production potentials of these two heavy pig breeds, derived by their different genetic backgrounds.
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22
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Liu M, Weiss MA, Arunagiri A, Yong J, Rege N, Sun J, Haataja L, Kaufman RJ, Arvan P. Biosynthesis, structure, and folding of the insulin precursor protein. Diabetes Obes Metab 2018; 20 Suppl 2:28-50. [PMID: 30230185 PMCID: PMC6463291 DOI: 10.1111/dom.13378] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 05/04/2018] [Accepted: 05/23/2018] [Indexed: 02/06/2023]
Abstract
Insulin synthesis in pancreatic β-cells is initiated as preproinsulin. Prevailing glucose concentrations, which oscillate pre- and postprandially, exert major dynamic variation in preproinsulin biosynthesis. Accompanying upregulated translation of the insulin precursor includes elements of the endoplasmic reticulum (ER) translocation apparatus linked to successful orientation of the signal peptide, translocation and signal peptide cleavage of preproinsulin-all of which are necessary to initiate the pathway of proper proinsulin folding. Evolutionary pressures on the primary structure of proinsulin itself have preserved the efficiency of folding ("foldability"), and remarkably, these evolutionary pressures are distinct from those protecting the ultimate biological activity of insulin. Proinsulin foldability is manifest in the ER, in which the local environment is designed to assist in the overall load of proinsulin folding and to favour its disulphide bond formation (while limiting misfolding), all of which is closely tuned to ER stress response pathways that have complex (beneficial, as well as potentially damaging) effects on pancreatic β-cells. Proinsulin misfolding may occur as a consequence of exuberant proinsulin biosynthetic load in the ER, proinsulin coding sequence mutations, or genetic predispositions that lead to an altered ER folding environment. Proinsulin misfolding is a phenotype that is very much linked to deficient insulin production and diabetes, as is seen in a variety of contexts: rodent models bearing proinsulin-misfolding mutants, human patients with Mutant INS-gene-induced Diabetes of Youth (MIDY), animal models and human patients bearing mutations in critical ER resident proteins, and, quite possibly, in more common variety type 2 diabetes.
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Affiliation(s)
- Ming Liu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China 300052
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor 48105 MI USA
| | - Michael A. Weiss
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis 46202 IN USA
- Department of Biochemistry, Case-Western Reserve University, Cleveland 44016 OH USA
| | - Anoop Arunagiri
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor 48105 MI USA
| | - Jing Yong
- Degenerative Diseases Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92307 USA
| | - Nischay Rege
- Department of Biochemistry, Case-Western Reserve University, Cleveland 44016 OH USA
| | - Jinhong Sun
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China 300052
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor 48105 MI USA
| | - Leena Haataja
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor 48105 MI USA
| | - Randal J. Kaufman
- Degenerative Diseases Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92307 USA
| | - Peter Arvan
- Division of Metabolism, Endocrinology & Diabetes, University of Michigan Medical School, Ann Arbor 48105 MI USA
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23
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Hinrichs A, Kessler B, Kurome M, Blutke A, Kemter E, Bernau M, Scholz AM, Rathkolb B, Renner S, Bultmann S, Leonhardt H, de Angelis MH, Nagashima H, Hoeflich A, Blum WF, Bidlingmaier M, Wanke R, Dahlhoff M, Wolf E. Growth hormone receptor-deficient pigs resemble the pathophysiology of human Laron syndrome and reveal altered activation of signaling cascades in the liver. Mol Metab 2018; 11:113-128. [PMID: 29678421 PMCID: PMC6001387 DOI: 10.1016/j.molmet.2018.03.006] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 03/09/2018] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE Laron syndrome (LS) is a rare, autosomal recessive disorder in humans caused by loss-of-function mutations of the growth hormone receptor (GHR) gene. To establish a large animal model for LS, pigs with GHR knockout (KO) mutations were generated and characterized. METHODS CRISPR/Cas9 technology was applied to mutate exon 3 of the GHR gene in porcine zygotes. Two heterozygous founder sows with a 1-bp or 7-bp insertion in GHR exon 3 were obtained, and their heterozygous F1 offspring were intercrossed to produce GHR-KO, heterozygous GHR mutant, and wild-type pigs. Since the latter two groups were not significantly different in any parameter investigated, they were pooled as the GHR expressing control group. The characterization program included body and organ growth, body composition, endocrine and clinical-chemical parameters, as well as signaling studies in liver tissue. RESULTS GHR-KO pigs lacked GHR and had markedly reduced serum insulin-like growth factor 1 (IGF1) levels and reduced IGF-binding protein 3 (IGFBP3) activity but increased IGFBP2 levels. Serum GH concentrations were significantly elevated compared with control pigs. GHR-KO pigs had a normal birth weight. Growth retardation became significant at the age of five weeks. At the age of six months, the body weight of GHR-KO pigs was reduced by 60% compared with controls. Most organ weights of GHR-KO pigs were reduced proportionally to body weight. However, the weights of liver, kidneys, and heart were disproportionately reduced, while the relative brain weight was almost doubled. GHR-KO pigs had a markedly increased percentage of total body fat relative to body weight and displayed transient juvenile hypoglycemia along with decreased serum triglyceride and cholesterol levels. Analysis of insulin receptor related signaling in the liver of adult fasted pigs revealed increased phosphorylation of IRS1 and PI3K. In agreement with the loss of GHR, phosphorylation of STAT5 was significantly reduced. In contrast, phosphorylation of JAK2 was significantly increased, possibly due to the increased serum leptin levels and increased hepatic leptin receptor expression and activation in GHR-KO pigs. In addition, increased mTOR phosphorylation was observed in GHR-KO liver samples, and phosphorylation studies of downstream substrates suggested the activation of mainly mTOR complex 2. CONCLUSION GHR-KO pigs resemble the pathophysiology of LS and are an interesting model for mechanistic studies and treatment trials.
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Affiliation(s)
- Arne Hinrichs
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), Department of Veterinary Sciences, LMU Munich, Hackerstr. 27, 85764 Oberschleißheim, Germany
| | - Barbara Kessler
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), Department of Veterinary Sciences, LMU Munich, Hackerstr. 27, 85764 Oberschleißheim, Germany
| | - Mayuko Kurome
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), Department of Veterinary Sciences, LMU Munich, Hackerstr. 27, 85764 Oberschleißheim, Germany; Meiji University International Institute for Bio-Resource Research, 1-1-1 Higashimita, Tama, Kawasaki, 214-8571, Japan
| | - Andreas Blutke
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, LMU Munich, Veterinärstr. 13, 80539 Munich, Germany
| | - Elisabeth Kemter
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), Department of Veterinary Sciences, LMU Munich, Hackerstr. 27, 85764 Oberschleißheim, Germany
| | - Maren Bernau
- Livestock Center of the Veterinary Faculty, LMU Munich, St.-Hubertus-Str. 12, 85764 Oberschleißheim, Germany
| | - Armin M Scholz
- Livestock Center of the Veterinary Faculty, LMU Munich, St.-Hubertus-Str. 12, 85764 Oberschleißheim, Germany
| | - Birgit Rathkolb
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany; German Center for Diabetes Research (DZD), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Simone Renner
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), Department of Veterinary Sciences, LMU Munich, Hackerstr. 27, 85764 Oberschleißheim, Germany; German Center for Diabetes Research (DZD), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Sebastian Bultmann
- Human Biology and Bioimaging, Faculty of Biology, Biocenter, LMU Munich, Großhaderner Str. 2, 82152 Planegg-Martinsried, Germany
| | - Heinrich Leonhardt
- Human Biology and Bioimaging, Faculty of Biology, Biocenter, LMU Munich, Großhaderner Str. 2, 82152 Planegg-Martinsried, Germany
| | - Martin Hrabĕ de Angelis
- German Center for Diabetes Research (DZD), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Institute of Experimental Genetics, Helmholtz Zentrum München, and Chair of Experimental Genetics, Technical University of Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Hiroshi Nagashima
- Meiji University International Institute for Bio-Resource Research, 1-1-1 Higashimita, Tama, Kawasaki, 214-8571, Japan
| | - Andreas Hoeflich
- Cell Signaling Unit, Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
| | - Werner F Blum
- University Children`s Hospital, University of Giessen, Feulgenstr.12, 35392 Gießen, Germany
| | - Martin Bidlingmaier
- Endocrine Laboratory, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ziemssenstr. 1, 80336 Munich, Germany
| | - Rüdiger Wanke
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, LMU Munich, Veterinärstr. 13, 80539 Munich, Germany
| | - Maik Dahlhoff
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), Department of Veterinary Sciences, LMU Munich, Hackerstr. 27, 85764 Oberschleißheim, Germany
| | - Eckhard Wolf
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), Department of Veterinary Sciences, LMU Munich, Hackerstr. 27, 85764 Oberschleißheim, Germany; Meiji University International Institute for Bio-Resource Research, 1-1-1 Higashimita, Tama, Kawasaki, 214-8571, Japan; German Center for Diabetes Research (DZD), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, Feodor-Lynen-Str. 25, 81377 Munich, Germany.
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24
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Abstract
In translational medical research, porcine models have steadily become more popular. Considering the high value of individual animals, particularly of genetically modified pig models, and the often-limited number of available animals of these models, establishment of (biobank) collections of adequately processed tissue samples suited for a broad spectrum of subsequent analyses methods, including analyses not specified at the time point of sampling, represent meaningful approaches to take full advantage of the translational value of the model. With respect to the peculiarities of porcine anatomy, comprehensive guidelines have recently been established for standardized generation of representative, high-quality samples from different porcine organs and tissues. These guidelines are essential prerequisites for the reproducibility of results and their comparability between different studies and investigators. The recording of basic data, such as organ weights and volumes, the determination of the sampling locations and of the numbers of tissue samples to be generated, as well as their orientation, size, processing and trimming directions, are relevant factors determining the generalizability and usability of the specimen for molecular, qualitative, and quantitative morphological analyses. Here, an illustrative, practical, step-by-step demonstration of the most important techniques for generation of representative, multi-purpose biobank specimen from porcine tissues is presented. The methods described here include determination of organ/tissue volumes and densities, the application of a volume-weighted systematic random sampling procedure for parenchymal organs by point-counting, determination of the extent of tissue shrinkage related to histological embedding of samples, and generation of randomly oriented samples for quantitative stereological analyses, such as isotropic uniform random (IUR) sections generated by the "Orientator" and "Isector" methods, and vertical uniform random (VUR) sections.
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Affiliation(s)
- Andreas Blutke
- Institute of Veterinary Pathology at the Centre for Clinical Veterinary Medicine, LMU Munich;
| | - Rüdiger Wanke
- Institute of Veterinary Pathology at the Centre for Clinical Veterinary Medicine, LMU Munich
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25
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Kleinert M, Clemmensen C, Hofmann SM, Moore MC, Renner S, Woods SC, Huypens P, Beckers J, de Angelis MH, Schürmann A, Bakhti M, Klingenspor M, Heiman M, Cherrington AD, Ristow M, Lickert H, Wolf E, Havel PJ, Müller TD, Tschöp MH. Animal models of obesity and diabetes mellitus. Nat Rev Endocrinol 2018; 14:140-162. [PMID: 29348476 DOI: 10.1038/nrendo.2017.161] [Citation(s) in RCA: 487] [Impact Index Per Article: 81.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
More than one-third of the worldwide population is overweight or obese and therefore at risk of developing type 2 diabetes mellitus. In order to mitigate this pandemic, safer and more potent therapeutics are urgently required. This necessitates the continued use of animal models to discover, validate and optimize novel therapeutics for their safe use in humans. In order to improve the transition from bench to bedside, researchers must not only carefully select the appropriate model but also draw the right conclusions. In this Review, we consolidate the key information on the currently available animal models of obesity and diabetes and highlight the advantages, limitations and important caveats of each of these models.
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Affiliation(s)
- Maximilian Kleinert
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Division of Metabolic Diseases, Department of Medicine, Technische Universität München, D-80333 Munich, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Section of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Christoffer Clemmensen
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Division of Metabolic Diseases, Department of Medicine, Technische Universität München, D-80333 Munich, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
| | - Susanna M Hofmann
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Institute for Diabetes and Regeneration Research, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Medizinische Klinik und Poliklinik IV, Klinikum der Ludwig-Maximilians-Universität München, Ziemssenstr. 1, D-80336 Munich, Germany
| | - Mary C Moore
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee 37212, USA
| | - Simone Renner
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilan University München, Feodor-Lynen-Str. 25, D-81377 Munich, Germany
| | - Stephen C Woods
- University of Cincinnati College of Medicine, Department of Psychiatry and Behavioral Neuroscience, Metabolic Diseases Institute, 2170 East Galbraith Road, Cincinnati, Ohio 45237, USA
| | - Peter Huypens
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
| | - Johannes Beckers
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Technische Universität München, Chair of Experimental Genetics, D-85354 Freising, Germany
| | - Martin Hrabe de Angelis
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Technische Universität München, Chair of Experimental Genetics, D-85354 Freising, Germany
| | - Annette Schürmann
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Department of Experimental Diabetology, German Institute of Human Nutrition (DIfE), Arthur-Scheunert-Allee 114-116, D-14558 Nuthetal, Germany
| | - Mostafa Bakhti
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Institute for Diabetes and Regeneration Research, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
| | - Martin Klingenspor
- Chair of Molecular Nutritional Medicine, Technische Universität München, TUM School of Life Sciences Weihenstephan, Gregor-Mendel-Str. 2, D-85354 Freising, Germany
- Else Kröner-Fresenius Center for Nutritional Medicine, Technische Universität München, D-85354 Freising, Germany
- Institute for Food & Health, Technische Universität München, D-85354 Freising, Germany
| | - Mark Heiman
- MicroBiome Therapeutics, 1316 Jefferson Ave, New Orleans, Louisiana 70115, USA
| | - Alan D Cherrington
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee 37212, USA
| | - Michael Ristow
- Energy Metabolism Laboratory, Institute of Translational Medicine, Swiss Federal Institute of Technology (ETH) Zurich, CH-8603 Zurich-Schwerzenbach, Switzerland
| | - Heiko Lickert
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Institute for Diabetes and Regeneration Research, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
| | - Eckhard Wolf
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilan University München, Feodor-Lynen-Str. 25, D-81377 Munich, Germany
| | - Peter J Havel
- Department of Molecular Biosciences, School of Veterinary Medicine and Department of Nutrition, 3135 Meyer Hall, University of California, Davis, California 95616-5270, USA
| | - Timo D Müller
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Division of Metabolic Diseases, Department of Medicine, Technische Universität München, D-80333 Munich, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
| | - Matthias H Tschöp
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
- Division of Metabolic Diseases, Department of Medicine, Technische Universität München, D-80333 Munich, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
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26
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Abstract
Globally, diabetes is the leading cause of chronic kidney disease and end-stage renal disease, which are major risk factors for cardiovascular disease and death. Despite this burden, the factors that precipitate the development and progression of diabetic kidney disease (DKD) remain to be fully elucidated. Mitochondrial dysfunction is associated with kidney disease in nondiabetic contexts, and increasing evidence suggests that dysfunctional renal mitochondria are pathological mediators of DKD. These complex organelles have a broad range of functions, including the generation of ATP. The kidneys are mitochondrially rich, highly metabolic organs that require vast amounts of ATP for their normal function. The delivery of metabolic substrates for ATP production, such as fatty acids and oxygen, is altered by diabetes. Changes in metabolic fuel sources in diabetes to meet ATP demands result in increased oxygen consumption, which contributes to renal hypoxia. Inherited factors including mutations in genes that impact mitochondrial function and/or substrate delivery may also be important risk factors for DKD. Hence, we postulate that the diabetic milieu and inherited factors that underlie abnormalities in mitochondrial function synergistically drive the development and progression of DKD.
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Affiliation(s)
- Josephine M Forbes
- Glycation and Diabetes Group, Mater Research Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia.,Mater Clinical School, School of Medicine, The University of Queensland, St Lucia, Queensland, Australia.,Departments of Medicine and Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - David R Thorburn
- Departments of Medicine and Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
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