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Liu S, Luo H, Zhang P, Li Y, Hao D, Zhang S, Song T, Xu T, He S. Adaptive Selection of Cis-regulatory Elements in the Han Chinese. Mol Biol Evol 2024; 41:msae034. [PMID: 38377343 PMCID: PMC10917166 DOI: 10.1093/molbev/msae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/18/2024] [Accepted: 02/05/2024] [Indexed: 02/22/2024] Open
Abstract
Cis-regulatory elements have an important role in human adaptation to the living environment. However, the lag in population genomic cohort studies and epigenomic studies, hinders the research in the adaptive analysis of cis-regulatory elements in human populations. In this study, we collected 4,013 unrelated individuals and performed a comprehensive analysis of adaptive selection of genome-wide cis-regulatory elements in the Han Chinese. In total, 12.34% of genomic regions are under the influence of adaptive selection, where 1.00% of enhancers and 2.06% of promoters are under positive selection, and 0.06% of enhancers and 0.02% of promoters are under balancing selection. Gene ontology enrichment analysis of these cis-regulatory elements under adaptive selection reveals that many positive selections in the Han Chinese occur in pathways involved in cell-cell adhesion processes, and many balancing selections are related to immune processes. Two classes of adaptive cis-regulatory elements related to cell adhesion were in-depth analyzed, one is the adaptive enhancers derived from neanderthal introgression, leads to lower hyaluronidase level in skin, and brings better performance on UV-radiation resistance to the Han Chinese. Another one is the cis-regulatory elements regulating wound healing, and the results suggest the positive selection inhibits coagulation and promotes angiogenesis and wound healing in the Han Chinese. Finally, we found that many pathogenic alleles, such as risky alleles of type 2 diabetes or schizophrenia, remain in the population due to the hitchhiking effect of positive selections. Our findings will help deepen our understanding of the adaptive evolution of genome regulation in the Han Chinese.
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Affiliation(s)
- Shuai Liu
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huaxia Luo
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Peng Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanyan Li
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Di Hao
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Sijia Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingrui Song
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Tao Xu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China
| | - Shunmin He
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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Mori M, Liu C, Yoshizawa T, Miyahara H, Dai J, Igarashi Y, Cui X, Li Y, Kang X, Higuchi K. Polygenic control of the wavy coat of the NCT mouse: involvement of an intracisternal A particle insertional mutation of the protease, serine 53 (Prss53) gene, and a modifier gene. Mamm Genome 2022; 33:451-464. [PMID: 35067752 DOI: 10.1007/s00335-021-09926-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/05/2021] [Indexed: 11/29/2022]
Abstract
The Nakano cataract mouse (NCT) manifests a wavy coat for their first hair as a genetic trait. In this study, we explored the molecular genetic basis of the wavy coat. We revealed by crossing experiments that the wavy coat is controlled by a major gene on chromosome 7 of NCT, homozygosity of which is a prerequisite for developing the wavy coat, and by a gene on chromosome 9 with a minor effect to reinforce the manifestation of the trait. In humans, a polymorphism of the protease, serine 53 (PRSS53) gene on the homologous chromosome is known to be associated with curly scalp hair. We then investigated the Prss53 gene and discovered that NCT has an insertion of an intracisternal A particle element in the first intron of the gene. Nevertheless, the expression of the Prss53 is not altered in the NCT skin both in transcript and protein levels. Subsequently, we created C57BL/6J-Prss53em1 knockout mice and found that these mice manifest vague wavy coats. A portion of backcross and intercross mice between the C57BL/6J-Prss53em1 and NCT manifested intense or vague wavy coats. These findings demonstrate the polygenic nature of the wavy coat of NCT and Prss53 knockout mice and highlight the similarity of the trait to the curly hair of humans associated with the PRSS53 alteration.
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Affiliation(s)
- Masayuki Mori
- Department of NeuroHealth Innovation, Institute for Biomedical Sciences, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, Matsumoto, 390-8621, Japan. .,Department of Aging Biology, Shinshu University Graduate School of Medicine, Science and Technology, Matsumoto, 390-8621, Japan. .,Department of Aging Biology, Institute of Pathogenesis and Disease Prevention, Shinshu University Graduate School of Medicine, Matsumoto, 390-8621, Japan.
| | - Chang Liu
- Department of Aging Biology, Shinshu University Graduate School of Medicine, Science and Technology, Matsumoto, 390-8621, Japan
| | - Takahiro Yoshizawa
- Division of Animal Research, Research Center for Supports to Advanced Science, Shinshu University, Matsumoto, 390-8621, Japan
| | - Hiroki Miyahara
- Department of NeuroHealth Innovation, Institute for Biomedical Sciences, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, Matsumoto, 390-8621, Japan
| | - Jian Dai
- Department of NeuroHealth Innovation, Institute for Biomedical Sciences, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, Matsumoto, 390-8621, Japan
| | - Yuichi Igarashi
- Department of Aging Biology, Institute of Pathogenesis and Disease Prevention, Shinshu University Graduate School of Medicine, Matsumoto, 390-8621, Japan
| | - Xiaoran Cui
- Department of Aging Biology, Institute of Pathogenesis and Disease Prevention, Shinshu University Graduate School of Medicine, Matsumoto, 390-8621, Japan
| | - Ying Li
- Department of Aging Biology, Shinshu University Graduate School of Medicine, Science and Technology, Matsumoto, 390-8621, Japan
| | - Xiaojing Kang
- Department of Aging Biology, Shinshu University Graduate School of Medicine, Science and Technology, Matsumoto, 390-8621, Japan
| | - Keiichi Higuchi
- Department of NeuroHealth Innovation, Institute for Biomedical Sciences, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, Matsumoto, 390-8621, Japan.,Department of Aging Biology, Shinshu University Graduate School of Medicine, Science and Technology, Matsumoto, 390-8621, Japan.,Department of Aging Biology, Institute of Pathogenesis and Disease Prevention, Shinshu University Graduate School of Medicine, Matsumoto, 390-8621, Japan
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Mizusawa N, Harada N, Iwata T, Ohigashi I, Itakura M, Yoshimoto K. Identification of protease serine S1 family member 53 as a mitochondrial protein in murine islet beta cells. Islets 2022; 14:1-13. [PMID: 34636707 PMCID: PMC8812782 DOI: 10.1080/19382014.2021.1982325] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The aim of this study was to identify genes that are specifically expressed in pancreatic islet β-cells (hereafter referred to as β-cells). Large-scale complementary DNA-sequencing analysis was performed for 3,429 expressed sequence tags derived from murine MIN6 β-cells, through homology comparisons using the GenBank database. Three individual ESTs were found to code for protease serine S1 family member 53 (Prss53). Prss53 mRNA is processed into both a short and long form, which encode 482 and 552 amino acids, respectively. Transient overexpression of myc-tagged Prss53 in COS-7 cells showed that Prss53 was strongly associated with the luminal surfaces of organellar membranes and that it underwent signal peptide cleavage and N-glycosylation. Immunoelectron microscopy and western blotting revealed that Prss53 localized to mitochondria in MIN6 cells. Short hairpin RNA-mediated Prss53 knockdown resulted in Ppargc1a downregulation and Ucp2 and Glut2 upregulation. JC-1 staining revealed that the mitochondria were depolarized in Prss53-knockdown MIN6 cells; however, no change was observed in glucose-stimulated insulin secretion. Our results suggest that mitochondrial Prss53 expression plays an important role in maintaining the health of β-cells.
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Affiliation(s)
- Noriko Mizusawa
- Department of Medical Pharmacology, Institute of Biomedical Sciences, Tokushima University, Tokushima, Japan
- CONTACT Noriko Mizusawa Department of Oral Bioscience, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-Kuramoto-cho, Tokushima City770-8504, Japan
| | - Nagakatsu Harada
- Department of Health and Nutrition, Faculty of Nursing and Nutrition, The University of Shimane, Shimane, Japan
| | - Takeo Iwata
- Department of Functional Morphology, Faculty of Pharmaceutical Sciences, Niigata University of Pharmacy and Applied Life Sciences, Niigata, Japan
| | - Izumi Ohigashi
- Division of Experimental Immunology, Institute of Advanced Medical Sciences, Tokushima University, Tokushima, Japan
| | - Mitsuo Itakura
- Division of Genetic Information, Institute for Genome Research, Tokushima University, Tokushima, Japan
| | - Katsuhiko Yoshimoto
- Department of Medical Pharmacology, Institute of Biomedical Sciences, Tokushima University, Tokushima, Japan
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Szpak M, Xue Y, Ayub Q, Tyler‐Smith C. How well do we understand the basis of classic selective sweeps in humans? FEBS Lett 2019; 593:1431-1448. [DOI: 10.1002/1873-3468.13447] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 04/29/2019] [Accepted: 05/17/2019] [Indexed: 12/14/2022]
Affiliation(s)
| | - Yali Xue
- The Wellcome Sanger Institute Hinxton UK
| | - Qasim Ayub
- School of Science Monash University Malaysia Bandar Sunway Malaysia
- Tropical Medicine and Biology Multidisciplinary Platform Monash University Malaysia Genomics Facility Bandar Sunway Malaysia
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Abstract
Matriptase-2 (MT2) is a membrane-anchored proteolytic enzyme. It acts as the proteolytic key regulator in human iron homeostasis. A high expression level can lead to iron overload diseases, whereas mutations in the gene encoding MT2, TMPRSS6, may result in various forms of iron deficiency anemia. Recently, MT2 has been reported as a positive prognostic factor in breast and prostate cancers. However, the exact functions of MT2 in various pathophysiological conditions are still not fully understood. In this review, we describe the synthetic tools designed and synthesized to regulate or monitor MT2 proteolytic activity and present the latest knowledge about the role of MT2 in iron homeostasis and cancer.
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Garcia-Pardo J, Tanco S, Díaz L, Dasgupta S, Fernandez-Recio J, Lorenzo J, Aviles FX, Fricker LD. Substrate specificity of human metallocarboxypeptidase D: Comparison of the two active carboxypeptidase domains. PLoS One 2017; 12:e0187778. [PMID: 29131831 PMCID: PMC5683605 DOI: 10.1371/journal.pone.0187778] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 10/25/2017] [Indexed: 11/18/2022] Open
Abstract
Metallocarboxypeptidase D (CPD) is a membrane-bound component of the trans-Golgi network that cycles to the cell surface through exocytic and endocytic pathways. Unlike other members of the metallocarboxypeptidase family, CPD is a multicatalytic enzyme with three carboxypeptidase-like domains, although only the first two domains are predicted to be enzymatically active. To investigate the enzymatic properties of each domain in human CPD, a critical active site Glu in domain I and/or II was mutated to Gln and the protein expressed, purified, and assayed with a wide variety of peptide substrates. CPD with all three domains intact displays >50% activity from pH 5.0 to 7.5 with a maximum at pH 6.5, as does CPD with mutation of domain I. In contrast, the domain II mutant displayed >50% activity from pH 6.5–7.5. CPD with mutations in both domains I and II was completely inactive towards all substrates and at all pH values. A quantitative peptidomics approach was used to compare the activities of CPD domains I and II towards a large number of peptides. CPD cleaved C-terminal Lys or Arg from a subset of the peptides. Most of the identified substrates of domain I contained C-terminal Arg, whereas comparable numbers of Lys- and Arg-containing peptides were substrates of domain II. We also report that some peptides with C-terminal basic residues were not cleaved by either domain I or II, showing the importance of the P1 position for CPD activity. Finally, the preference of domain I for C-terminal Arg was validated through molecular docking experiments. Together with the differences in pH optima, the different substrate specificities of CPD domains I and II allow the enzyme to perform distinct functions in the various locations within the cell.
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Affiliation(s)
- Javier Garcia-Pardo
- Institut de Biotecnologia i Biomedicina and Departament de Bioquimica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Sebastian Tanco
- Institut de Biotecnologia i Biomedicina and Departament de Bioquimica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
- VIB-UGent Center for Medical Biotechnology, Ghent, Belgium
- Department of Biochemistry, Ghent University, Ghent, Belgium
| | - Lucía Díaz
- Barcelona Supercomputing Center (BSC), Joint BSC-CRG-IRB Research Program in Computational Biology, Life Sciences Department, Barcelona, Spain
| | - Sayani Dasgupta
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Juan Fernandez-Recio
- Barcelona Supercomputing Center (BSC), Joint BSC-CRG-IRB Research Program in Computational Biology, Life Sciences Department, Barcelona, Spain
| | - Julia Lorenzo
- Institut de Biotecnologia i Biomedicina and Departament de Bioquimica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Francesc X. Aviles
- Institut de Biotecnologia i Biomedicina and Departament de Bioquimica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
- * E-mail: (LDF); (FXA)
| | - Lloyd D. Fricker
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York, United States of America
- * E-mail: (LDF); (FXA)
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The Impact of Genetic and Non-Genetic Factors on Warfarin Dose Prediction in MENA Region: A Systematic Review. PLoS One 2016; 11:e0168732. [PMID: 27992547 PMCID: PMC5167425 DOI: 10.1371/journal.pone.0168732] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 12/05/2016] [Indexed: 01/13/2023] Open
Abstract
Background Warfarin is the most commonly used oral anticoagulant for the treatment and prevention of thromboembolic disorders. Pharmacogenomics studies have shown that variants in CYP2C9 and VKORC1 genes are strongly and consistently associated with warfarin dose variability. Although different populations from the Middle East and North Africa (MENA) region may share the same ancestry, it is still unclear how they compare in the genetic and non-genetic factors affecting their warfarin dosing. Objective To explore the prevalence of CYP2C9 and VKORC1 variants in MENA, and the effect of these variants along with other non-genetic factors in predicting warfarin dose. Methods In this systematic review, we included observational cross sectional and cohort studies that enrolled patients on stable warfarin dose and had the genetics and non-genetics factors associated with mean warfarin dose as the primary outcome. We searched PubMed, Medline, Scopus, PharmGKB, PHGKB, Google scholar and reference lists of relevant reviews. Results We identified 17 studies in eight different populations: Iranian, Israeli, Egyptian, Lebanese, Omani, Kuwaiti, Sudanese and Turkish. Most common genetic variant in all populations was the VKORC1 (-1639G>A), with a minor allele frequency ranging from 30% in Egyptians and up to 52% and 56% in Lebanese and Iranian, respectively. Variants in the CYP2C9 were less common, with the highest MAF for CYP2C9*2 among Iranians (27%). Variants in the VKORC1 and CYP2C9 were the most significant predictors of warfarin dose in all populations. Along with other genetic and non-genetic factors, they explained up to 63% of the dose variability in Omani and Israeli patients. Conclusion Variants of VKORC1 and CYP2C9 are the strongest predictors of warfarin dose variability among the different populations from MENA. Although many of those populations share the same ancestry and are similar in their warfarin dose predictors, a population specific dosing algorithm is needed for the prospective estimation of warfarin dose.
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Adhikari K, Fontanil T, Cal S, Mendoza-Revilla J, Fuentes-Guajardo M, Chacón-Duque JC, Al-Saadi F, Johansson JA, Quinto-Sanchez M, Acuña-Alonzo V, Jaramillo C, Arias W, Barquera Lozano R, Macín Pérez G, Gómez-Valdés J, Villamil-Ramírez H, Hunemeier T, Ramallo V, Silva de Cerqueira CC, Hurtado M, Villegas V, Granja V, Gallo C, Poletti G, Schuler-Faccini L, Salzano FM, Bortolini MC, Canizales-Quinteros S, Rothhammer F, Bedoya G, Gonzalez-José R, Headon D, López-Otín C, Tobin DJ, Balding D, Ruiz-Linares A. A genome-wide association scan in admixed Latin Americans identifies loci influencing facial and scalp hair features. Nat Commun 2016; 7:10815. [PMID: 26926045 PMCID: PMC4773514 DOI: 10.1038/ncomms10815] [Citation(s) in RCA: 121] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 01/25/2016] [Indexed: 12/20/2022] Open
Abstract
We report a genome-wide association scan in over 6,000 Latin Americans for features of scalp hair (shape, colour, greying, balding) and facial hair (beard thickness, monobrow, eyebrow thickness). We found 18 signals of association reaching genome-wide significance (P values 5 × 10(-8) to 3 × 10(-119)), including 10 novel associations. These include novel loci for scalp hair shape and balding, and the first reported loci for hair greying, monobrow, eyebrow and beard thickness. A newly identified locus influencing hair shape includes a Q30R substitution in the Protease Serine S1 family member 53 (PRSS53). We demonstrate that this enzyme is highly expressed in the hair follicle, especially the inner root sheath, and that the Q30R substitution affects enzyme processing and secretion. The genome regions associated with hair features are enriched for signals of selection, consistent with proposals regarding the evolution of human hair.
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Affiliation(s)
- Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Tania Fontanil
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Santiago Cal
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Javier Mendoza-Revilla
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Macarena Fuentes-Guajardo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica 1000009, Chile
| | - Juan-Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Farah Al-Saadi
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Jeanette A. Johansson
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | | | - Victor Acuña-Alonzo
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- National Institute of Anthropology and History, México 4510, México
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | - Rodrigo Barquera Lozano
- National Institute of Anthropology and History, México 4510, México
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | - Gastón Macín Pérez
- National Institute of Anthropology and History, México 4510, México
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | | | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | - Tábita Hunemeier
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Virginia Ramallo
- Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Caio C. Silva de Cerqueira
- Centro Nacional Patagónico, CONICET, Puerto Madryn U9129ACD, Argentina
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, 31, Perú
| | - Lavinia Schuler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Francisco M. Salzano
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre 91501-970, Brasil
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México 4510, México
| | | | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellín 5001000, Colombia
| | | | - Denis Headon
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | - Carlos López-Otín
- Departamento de Bioquímica y Biología Molecular, IUOPA, Universidad de Oviedo, Oviedo 33006, Spain
| | - Desmond J. Tobin
- Centre for Skin Sciences, Faculty of Life Sciences, University of Bradford, Bradford BD7 1DP, Victoria, UK
| | - David Balding
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
- Schools of BioSciences and Mathematics and Statistics, University of Melbourne, Melbourne 3010, Australia
| | - Andrés Ruiz-Linares
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London WC1E 6BT, UK
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Tsoi LC, Spain SL, Knight J, Ellinghaus E, Stuart PE, Capon F, Ding J, Li Y, Tejasvi T, Gudjonsson JE, Kang HM, Allen MH, McManus R, Novelli G, Samuelsson L, Schalkwijk J, Ståhle M, Burden AD, Smith CH, Cork MJ, Estivill X, Bowcock AM, Krueger GG, Weger W, Worthington J, Tazi-Ahnini R, Nestle FO, Hayday A, Hoffmann P, Winkelmann J, Wijmenga C, Langford C, Edkins S, Andrews R, Blackburn H, Strange A, Band G, Pearson RD, Vukcevic D, Spencer CCA, Deloukas P, Mrowietz U, Schreiber S, Weidinger S, Koks S, Kingo K, Esko T, Metspalu A, Lim HW, Voorhees JJ, Weichenthal M, Wichmann HE, Chandran V, Rosen CF, Rahman P, Gladman DD, Griffiths CEM, Reis A, Kere J, Nair RP, Franke A, Barker JNWN, Abecasis GR, Elder JT, Trembath RC. Identification of 15 new psoriasis susceptibility loci highlights the role of innate immunity. Nat Genet 2012; 44:1341-8. [PMID: 23143594 PMCID: PMC3510312 DOI: 10.1038/ng.2467] [Citation(s) in RCA: 721] [Impact Index Per Article: 60.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2012] [Accepted: 10/17/2012] [Indexed: 02/08/2023]
Abstract
To gain further insight into the genetic architecture of psoriasis, we conducted a meta-analysis of 3 genome-wide association studies (GWAS) and 2 independent data sets genotyped on the Immunochip, including 10,588 cases and 22,806 controls. We identified 15 new susceptibility loci, increasing to 36 the number associated with psoriasis in European individuals. We also identified, using conditional analyses, five independent signals within previously known loci. The newly identified loci shared with other autoimmune diseases include candidate genes with roles in regulating T-cell function (such as RUNX3, TAGAP and STAT3). Notably, they included candidate genes whose products are involved in innate host defense, including interferon-mediated antiviral responses (DDX58), macrophage activation (ZC3H12C) and nuclear factor (NF)-κB signaling (CARD14 and CARM1). These results portend a better understanding of shared and distinctive genetic determinants of immune-mediated inflammatory disorders and emphasize the importance of the skin in innate and acquired host defense.
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Affiliation(s)
- Lam C Tsoi
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - Sarah L Spain
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
| | - Jo Knight
- Neuroscience Research, Centre for Addiction and Mental Health, Toronto, ON, Canada M5T 1R8
- National Institute for Health Research (NIHR), Biomedical Research Centre, Guy’s and St. Thomas’ NHS Foundation Trust
| | - Eva Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105 Kiel, Germany
| | - Philip E Stuart
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Francesca Capon
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
| | - Jun Ding
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - Yanming Li
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - Trilokraj Tejasvi
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Hyun M Kang
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - Michael H Allen
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
| | - Ross McManus
- Department of Clinical Medicine Trinity College Dublin, Ireland
- Institute of Molecular Medicine, Trinity College Dublin, Ireland
| | - Giuseppe Novelli
- National Agency for Evaluation of Universities and Research Institutes (ANVUR)
- Research Center San Pietro Hospital, Rome, Italy
| | - Lena Samuelsson
- Department of Medical and Clinical Genetics, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Joost Schalkwijk
- Department of Dermatology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Mona Ståhle
- Dermatology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Catherine H Smith
- St John’s Institute of Dermatology, King’s College London, London, UK
| | - Michael J Cork
- Academic Unit of Dermatology Research, Department of Infection and Immunity, The University of Sheffield, Sheffield, UK
| | - Xavier Estivill
- Genes and Disease Programme, Centre for Genomic Regulation (CRG) and UPF, Hospital del Mar Research Institute (CRG) and Public Health and Epidemiology Network Biomedical Research Centre (CIBERESP), Barcelona, Spain
| | - Anne M Bowcock
- Division of Human Genetics, Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | | | - Wolfgang Weger
- Department of Dermatology, Medical University of Graz, Graz, Austria
| | - Jane Worthington
- Arthritis Research UK Epidemiology Unit, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Rachid Tazi-Ahnini
- Academic Unit of Dermatology Research, Department of Infection and Immunity, The University of Sheffield, Sheffield, UK
| | - Frank O Nestle
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
| | - Adrian Hayday
- Division of Immunology, Infection and Inflammatory Disease; King’s College London, London, UK
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, 54127 Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, 54127 Bonn, Germany
| | - Juliane Winkelmann
- Department of Neurology, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Munich, Germany
| | - Cisca Wijmenga
- Genetics Department, University Medical Center and University of Groningen, Groningen, The Netherlands
| | | | - Sarah Edkins
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | | | | | - Amy Strange
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | - Gavin Band
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | - Richard D Pearson
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | - Damjan Vukcevic
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | - Chris CA Spencer
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | | | - Ulrich Mrowietz
- Department of Dermatology, University Hospital, Schleswig-Holstein, Christian-Albrechts-University, 24105 Kiel, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105 Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105 Kiel, Germany
- PopGen biobank, University Hospital S.-H., Kiel, Germany
| | - Stephan Weidinger
- Department of Dermatology, University Hospital, Schleswig-Holstein, Christian-Albrechts-University, 24105 Kiel, Germany
| | - Sulev Koks
- Department of Physiology, Centre of Translational Medicine and Centre for Translational Genomics, University of Tartu, 50409 Tartu, Estonia
| | - Külli Kingo
- Department of Dermatology and Venerology, University of Tartu, 50409 Tartu, Estonia
| | - Tonu Esko
- Estonian Genome Center, University of Tartu, 51010 Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, 51010 Tartu, Estonia
| | - Henry W Lim
- Department of Dermatology, Henry Ford Hospital, Detroit, MI, 48202, USA
| | - John J Voorhees
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Michael Weichenthal
- Department of Dermatology, University Hospital, Schleswig-Holstein, Christian-Albrechts-University, 24105 Kiel, Germany
| | - H. Erich Wichmann
- Institute of Epidemiology I, Helmholtz Centre Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-University, 81377 Munich, Germany
- Klinikum Grosshadern, 81377 Munich, Germany
| | - Vinod Chandran
- Department of Medicine, Division of Rheumatology, University of Toronto, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Cheryl F Rosen
- Department of Medicine, Division of Dermatology, University of Toronto, Toronto Western Hospital, Toronto, Ontario M5T 2S8
| | - Proton Rahman
- Department of Medicine, Memorial University, St. John’s, Newfoundland A1C 5B8, Canada
| | - Dafna D Gladman
- Department of Medicine, Division of Rheumatology, University of Toronto, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Christopher EM Griffiths
- Dermatological Sciences, Salford Royal NHS Foundation Trust, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Andre Reis
- Institute of Human Genetics, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
- Folkhälsan Institute of Genetics, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki, Finland
| | | | | | | | | | - Rajan P Nair
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105 Kiel, Germany
| | - Jonathan NWN Barker
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
- St John’s Institute of Dermatology, King’s College London, London, UK
| | - Goncalo R Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - James T Elder
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
- Ann Arbor Veterans Affairs Hospital, Ann Arbor, MI, 48105, USA
| | - Richard C Trembath
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
- Queen Mary University of London, Barts and the London School of Medicine and Dentistry, London, UK
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10
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Giansante C, Fiotti N, Altamura N, Pitacco P, Consoloni L, Scardi S, Mazzone C, Grassi G, Pandullo C, Di Lenarda A. Oral anticoagulation and VKORC1 polymorphism in patients with a mechanical heart prosthesis: a 6-year follow-up. J Thromb Thrombolysis 2012; 34:506-12. [DOI: 10.1007/s11239-012-0740-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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11
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Shrif NEMA, Won HH, Lee ST, Park JH, Kim KK, Kim MJ, Kim S, Lee SY, Ki CS, Osman IM, Rhman EA, Ali IA, Idris MNA, Kim JW. Evaluation of the effects of VKORC1 polymorphisms and haplotypes, CYP2C9 genotypes, and clinical factors on warfarin response in Sudanese patients. Eur J Clin Pharmacol 2011; 67:1119-30. [PMID: 21590310 DOI: 10.1007/s00228-011-1060-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2011] [Accepted: 04/28/2011] [Indexed: 12/27/2022]
Abstract
OBJECTIVE African populations, including the Sudanese, are underrepresented in warfarin pharmacogenetic studies. We designed a study to determine the associations between the polymorphisms and haplotype structures of CYP2C9 and VKORC1 and warfarin dose response in Sudanese patients, one of the most genetically diverse populations in Africa. MATERIAL AND METHODS The effect of the CYP2C9 polymorphisms (*2, *3, *5, *6, *8, *9, and *11), 20 VKORC1 tag SNPs and haplotypes, and clinical covariates were comprehensively assessed in 203 Sudanese warfarin-treated patients. RESULTS Patients with the CYP2C9*2,*5,*6, or *11 variant required a daily warfarin dose that was 21% lower than those with CYP2C9*1/*1 (4.7 vs 5.8 mg/day, P < 0.001). SNPs around the VKORC1 and POL3S genes were divided into two haplotype blocks in Sudanese populations. According to multiple linear regression results, rs8050984, rs7294, and rs7199949 in the VKORC1 and POL3S genes (P <0.001, <0.001, <0.001, respectively), CYP2C9 genotype (*2, *5, *6, *11; P < 0.001), body weight (P = 0.04), target INR (P = 0.007), and concurrent medications (P = 0.029) could explain about 36.7% of the total warfarin dose variation. CONCLUSION Our data revealed that VKORC1 and CYP2C9 polymorphisms are important factors that influence warfarin dose response in Sudanese patients. Our data suggest that combinations of the SNPs may improve predictions of warfarin dose requirements.
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Affiliation(s)
- Nassr Eldin M A Shrif
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, #50 Ilwon-dong, Gangnam-gu, Seoul 135-710, South Korea
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12
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Stuart PE, Nair RP, Ellinghaus E, Ding J, Tejasvi T, Gudjonsson JE, Li Y, Weidinger S, Eberlein B, Gieger C, Wichmann HE, Kunz M, Ike R, Krueger GG, Bowcock AM, Mroweitz U, Lim HW, Voorhees JJ, Abecasis GR, Weichenthal M, Franke A, Rahman P, Gladman DD, Elder JT. Genome-wide association analysis identifies three psoriasis susceptibility loci. Nat Genet 2010; 42:1000-4. [PMID: 20953189 PMCID: PMC2965799 DOI: 10.1038/ng.693] [Citation(s) in RCA: 259] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2010] [Accepted: 07/09/2010] [Indexed: 12/13/2022]
Abstract
We carried out a meta-analysis of two recent psoriasis genome-wide association studies with a combined discovery sample of 1,831 affected individuals (cases) and 2,546 controls. One hundred and two loci selected based on P value rankings were followed up in a three-stage replication study including 4,064 cases and 4,685 controls from Michigan, Toronto, Newfoundland and Germany. In the combined meta-analysis, we identified three new susceptibility loci, including one at NOS2 (rs4795067, combined P = 4 × 10⁻¹¹), one at FBXL19 (rs10782001, combined P = 9 × 10⁻¹⁰) and one near PSMA6-NFKBIA (rs12586317, combined P = 2 × 10⁻⁸). All three loci were also associated with psoriatic arthritis (rs4795067, combined P = 1 × 10⁻⁵; rs10782001, combined P = 4 × 10⁻⁸; and rs12586317, combined P = 6 × 1⁻⁵) and purely cutaneous psoriasis (rs4795067, combined P = 1 × 10⁻⁸; rs10782001, combined P = 2 × 10⁻⁶; and rs12586317, combined P = 1 × 10⁻⁶). We also replicated a recently identified association signal near RNF114 (rs495337, combined P = 2 × 10⁻⁷).
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Affiliation(s)
- Philip E. Stuart
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Rajan P. Nair
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Eva Ellinghaus
- Institute for Clinical Molecular Biology, University of Kiel, Kiel D-24105, Germany
| | - Jun Ding
- Center for Statistical Genetics, Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109 USA
| | - Trilokraj Tejasvi
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Johann E. Gudjonsson
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Yun Li
- Center for Statistical Genetics, Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109 USA
| | - Stephan Weidinger
- Departments of Dermatology and Allergy, Technical University Munich, 80333 Munich, Germany
| | - Bernadette Eberlein
- Departments of Dermatology and Allergy, Technical University Munich, 80333 Munich, Germany
| | - Christian Gieger
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-University, 81377 Munich, Germany
| | - H. Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-University, 81377 Munich, Germany
| | - Manfred Kunz
- Comprehensive Center for Inflammation Medicine, University of Lübeck, 23538 Lübeck, Germany
| | - Robert Ike
- Department of Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | | | - Anne M. Bowcock
- Division of Human Genetics, Department of Genetics, Washington University at St. Louis, St. Louis, MO
| | - Ulrich Mroweitz
- Department of Dermatology, University of Kiel, Kiel D-24105, Germany
| | - Henry W. Lim
- Department of Dermatology, Henry Ford Hospital, Detroit, MI 48202 USA
| | - John J. Voorhees
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Goncalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109 USA
| | | | - Andre Franke
- Institute for Clinical Molecular Biology, University of Kiel, Kiel D-24105, Germany
| | - Proton Rahman
- Department of Medicine, Memorial University, St. John's, Newfoundland A1C 5B8, Canada
| | - Dafna D. Gladman
- Department of Rheumatology, University of Toronto, Toronto, Ontario M5T 2S8, Canada
| | - James T. Elder
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Ann Arbor Veteran Affairs Medical Center, Ann Arbor, MI
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13
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Ramsay AJ, Hooper JD, Folgueras AR, Velasco G, López-Otín C. Matriptase-2 (TMPRSS6): a proteolytic regulator of iron homeostasis. Haematologica 2009; 94:840-9. [PMID: 19377077 DOI: 10.3324/haematol.2008.001867] [Citation(s) in RCA: 82] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Maintaining the body's levels of iron within precise boundaries is essential for normal physiological function. Alterations of these levels below or above the healthy limit lead to a systemic deficiency or overload in iron. The type-two transmembrane serine protease (TTSP), matriptase-2 (also known as TMPRSS6), is attracting significant amounts of interest due to its recently described role in iron homeostasis. The finding of this regulatory role for matriptase-2 was originally derived from the observation that mice deficient in this protease present with anemia due to elevated levels of hepcidin and impaired intestinal iron absorption. Further in vitro analysis has demonstrated that matriptase-2 functions to suppress bone morphogenetic protein stimulation of hepcidin transcription through cell surface proteolytic processing of the bone morphogenetic protein co-receptor hemojuvelin. Consistently, the anemic phenotype of matriptase-2 knockout mice is mirrored in humans with matripase-2 mutations. Currently, 14 patients with iron-refractory iron deficiency anemia (IRIDA) have been reported to harbor various genetic mutations that abrogate matriptase-2 proteolytic activity. In this review, after overviewing the membrane anchored serine proteases, in particular the TTSP family, we summarize the identification and characterization of matriptase-2 and describe its functional relevance in iron metabolism.
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Affiliation(s)
- Andrew J Ramsay
- Departamento de Bioquímica y Biología Molecular, Facultad de Medicina, Universidad de Oviedo, Oviedo, Spain
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