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Sun Y, Wang M, Sun Q, Liu Y, Duan S, Wang Z, Zhou Y, Zhong J, Huang Y, Huang X, Yang Q, Li X, Su H, Cai Y, Jiang X, Chen J, Yan J, Nie S, Hu L, Yang J, Tang R, Wang CC, Liu C, Deng X, Yun L, He G. Distinguished biological adaptation architecture aggravated population differentiation of Tibeto-Burman-speaking people. J Genet Genomics 2024; 51:517-530. [PMID: 37827489 DOI: 10.1016/j.jgg.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 09/28/2023] [Accepted: 10/04/2023] [Indexed: 10/14/2023]
Abstract
Tibeto-Burman (TB) people have endeavored to adapt to the hypoxic, cold, and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic period. However, the full landscape of genetic history and biological adaptation of geographically diverse TB-speaking people, as well as their interaction mechanism, remain unknown. Here, we generate a whole-genome meta-database of 500 individuals from 39 TB-speaking populations and present a comprehensive landscape of genetic diversity, admixture history, and differentiated adaptative features of geographically different TB-speaking people. We identify genetic differentiation related to geography and language among TB-speaking people, consistent with their differentiated admixture process with incoming or indigenous ancestral source populations. A robust genetic connection between the Tibetan-Yi corridor and the ancient Yellow River people supports their Northern China origin hypothesis. We finally report substructure-related differentiated biological adaptative signatures between highland Tibetans and Loloish speakers. Adaptative signatures associated with the physical pigmentation (EDAR and SLC24A5) and metabolism (ALDH9A1) are identified in Loloish people, which differed from the high-altitude adaptative genetic architecture in Tibetan. TB-related genomic resources provide new insights into the genetic basis of biological adaptation and better reference for the anthropologically informed sampling design in biomedical and genomic cohort research.
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Affiliation(s)
- Yuntao Sun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China; Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China; Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510275, China; Guangzhou Forensic Science Institute, Guangzhou, Guangdong 510055, China.
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Yunyu Zhou
- School of Stomatology, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Jun Zhong
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Yuguo Huang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China
| | - Xinyu Huang
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qingxin Yang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Haoran Su
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Yan Cai
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China; Department of Medical Laboratory, North Sichuan Medical College, Nanchong, Sichuan 637007, China
| | - Xiucheng Jiang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030600, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030600, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Junbao Yang
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Chuan-Chao Wang
- School of Life Sciences, Xiamen University, Xiamen, Fujian 361005, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong 510230, China
| | - Xiaohui Deng
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China.
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China.
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Braz CU, Passamonti MM, Khatib H. Characterization of genomic regions escaping epigenetic reprogramming in sheep. ENVIRONMENTAL EPIGENETICS 2023; 10:dvad010. [PMID: 38496251 PMCID: PMC10944287 DOI: 10.1093/eep/dvad010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 12/04/2023] [Accepted: 12/15/2023] [Indexed: 03/19/2024]
Abstract
The mammalian genome undergoes two global epigenetic reprogramming events during the establishment of primordial germ cells and in the pre-implantation embryo after fertilization. These events involve the erasure and re-establishment of DNA methylation marks. However, imprinted genes and transposable elements (TEs) maintain their DNA methylation signatures to ensure normal embryonic development and genome stability. Despite extensive research in mice and humans, there is limited knowledge regarding environmentally induced epigenetic marks that escape epigenetic reprogramming in other species. Therefore, the objective of this study was to examine the characteristics and locations of genomic regions that evade epigenetic reprogramming in sheep, as well as to explore the biological functions of the genes within these regions. In a previous study, we identified 107 transgenerationally inherited differentially methylated cytosines (DMCs) in the F1 and F2 generations in response to a paternal methionine-supplemented diet. These DMCs were found in TEs, non-repetitive regions, and imprinted and non-imprinted genes. Our findings suggest that genomic regions, rather than TEs and imprinted genes, have the propensity to escape reprogramming and serve as potential candidates for transgenerational epigenetic inheritance. Notably, 34 transgenerational methylated genes influenced by paternal nutrition escaped reprogramming, impacting growth, development, male fertility, cardiac disorders, and neurodevelopment. Intriguingly, among these genes, 21 have been associated with neural development and brain disorders, such as autism, schizophrenia, bipolar disease, and intellectual disability. This suggests a potential genetic overlap between brain and infertility disorders. Overall, our study supports the concept of transgenerational epigenetic inheritance of environmentally induced marks in mammals.
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Affiliation(s)
- Camila U Braz
- Department of Animal Sciences, University of Illinois Urbana–Champaign, Urbana, IL 61801, USA
| | - Matilde Maria Passamonti
- Department of Animal Science, Food and Nutrition, Universit’a Cattolica del Sacro Cuore, Piacenza, 29122, Italy
| | - Hasan Khatib
- Department of Animal and Dairy Sciences, University of Wisconsin–Madison, Madison, WI 53706, USA
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Ploneda-Valencia RG, Ortiz-Solis WA, Ruiz-Gonzalez G, Santiago-Garcia AK, Rivera-Rodríguez L, Nava-Townsend S, Márquez MF, Levinstein-Jacinto M. Supraventricular tachyarrhythmia and sinus node dysfunction as a first manifestation of short QT syndrome in a pediatric patient. Case Report. J Electrocardiol 2022; 74:146-153. [PMID: 36240673 DOI: 10.1016/j.jelectrocard.2022.08.010] [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: 07/12/2022] [Revised: 08/10/2022] [Accepted: 08/28/2022] [Indexed: 12/13/2022]
Abstract
Short QT syndrome (SQTS) represents a diagnosis challenge where the symptoms may vary from palpitations in an otherwise asymptomatic patient to sudden death. Is a recently discovered rare channelopathy, identified by Gussak in 2000, characterized by short QT intervals on the electrocardiogram and a tendency to develop atrial and ventricular arrhythmias in the absence of structural heart disease, hyperkalemia, hypercalcemia, hyperthermia, acidosis and endocrine disorders. We present the case of a 16-year-old patient with short QT-type channelopathy, who presented with sinus arrest and junctional rhythm, who later developed atrial tachycardia and atrial flutter.
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Affiliation(s)
- Ruy G Ploneda-Valencia
- Department of Electrophysiology, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico.
| | - Willian A Ortiz-Solis
- Department of Electrophysiology, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico
| | - Gustavo Ruiz-Gonzalez
- Department of Electrophysiology, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico
| | - Ana K Santiago-Garcia
- Department of Electrophysiology, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico
| | - Leonardo Rivera-Rodríguez
- Department of Pediatric Cardiology, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico
| | - Santiago Nava-Townsend
- Department of Electrophysiology, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico
| | - Manlio F Márquez
- Department of Electrophysiology, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico
| | - Moisés Levinstein-Jacinto
- Department of Electrophysiology, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City, Mexico
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Wagner P, Yin T, Brügemann K, Engel P, Weimann C, Schlez K, König S. Genome-Wide Associations for Microscopic Differential Somatic Cell Count and Specific Mastitis Pathogens in Holstein Cows in Compost-Bedded Pack and Cubicle Farming Systems. Animals (Basel) 2021; 11:ani11061839. [PMID: 34205623 PMCID: PMC8234204 DOI: 10.3390/ani11061839] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 06/14/2021] [Accepted: 06/17/2021] [Indexed: 02/03/2023] Open
Abstract
Simple Summary New free walk housing systems such as compost-bedded pack barns might positively influence animal welfare. However, udder health can be negatively affected due to the microbial environment in the pack. Udder health depends on many factors, such as the environment, the feed, the pathogen species, and the genetic mechanisms of the cow’s immune system. For a more precise evaluation of udder health, we examined novel traits including specific mastitis pathogens and differential somatic cell fractions in milk. In order to identify possible candidate genes for udder health, a genome-wide association study, including single-nucleotide polymorphisms (SNP) by housing system interactions (compost-bedded pack barn and conventional cubicle barn), was performed. We identified two potential candidate genes for the interaction effect in relation to udder health. The identified potential candidate gene HEMK1 (HemK methyltransferase family member 1) is involved in immune system development, and CHL1 (cell adhesion molecule L1 like) has an immunosuppressive effect during stress conditions. The results suggest housing system-specific breeding strategies in order to improve udder health in compost-bedded pack and conventional cubicle barns. Abstract The aim of the present study was to detect significant SNP (single-nucleotide polymorphism) effects and to annotate potential candidate genes for novel udder health traits in two different farming systems. We focused on specific mastitis pathogens and differential somatic cell fractions from 2198 udder quarters of 537 genotyped Holstein Friesian cows. The farming systems comprised compost-bedded pack and conventional cubicle barns. We developed a computer algorithm for genome-wide association studies allowing the estimation of main SNP effects plus consideration of SNPs by farming system interactions. With regard to the main effect, 35 significant SNPs were detected on 14 different chromosomes for the cell fractions and the pathogens. Six SNPs were significant for the interaction effect with the farming system for most of the udder health traits. We inferred two possible candidate genes based on significant SNP interactions. HEMK1 plays a role in the development of the immune system, depending on environmental stressors. CHL1 is regulated in relation to stress level and influences immune system mechanisms. The significant interactions indicate that gene activity can fluctuate depending on environmental stressors. Phenotypically, the prevalence of mastitis indicators differed between systems, with a notably lower prevalence of minor bacterial indicators in compost systems.
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Affiliation(s)
- Patricia Wagner
- Institute of Animal Breeding and Genetics, Justus-Liebig-University of Gießen, Ludwigstr. 21b, 35390 Giessen, Germany; (T.Y.); (K.B.); (P.E.); (C.W.); (S.K.)
- Correspondence: ; Tel.: +49-(0)-641-99-37675
| | - Tong Yin
- Institute of Animal Breeding and Genetics, Justus-Liebig-University of Gießen, Ludwigstr. 21b, 35390 Giessen, Germany; (T.Y.); (K.B.); (P.E.); (C.W.); (S.K.)
| | - Kerstin Brügemann
- Institute of Animal Breeding and Genetics, Justus-Liebig-University of Gießen, Ludwigstr. 21b, 35390 Giessen, Germany; (T.Y.); (K.B.); (P.E.); (C.W.); (S.K.)
| | - Petra Engel
- Institute of Animal Breeding and Genetics, Justus-Liebig-University of Gießen, Ludwigstr. 21b, 35390 Giessen, Germany; (T.Y.); (K.B.); (P.E.); (C.W.); (S.K.)
| | - Christina Weimann
- Institute of Animal Breeding and Genetics, Justus-Liebig-University of Gießen, Ludwigstr. 21b, 35390 Giessen, Germany; (T.Y.); (K.B.); (P.E.); (C.W.); (S.K.)
| | - Karen Schlez
- Landesbetrieb Hessisches Landeslabor, Schubertstraße 60, D-35392 Gießen, Germany;
| | - Sven König
- Institute of Animal Breeding and Genetics, Justus-Liebig-University of Gießen, Ludwigstr. 21b, 35390 Giessen, Germany; (T.Y.); (K.B.); (P.E.); (C.W.); (S.K.)
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5
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Vilariño-Güell C, Zimprich A, Martinelli-Boneschi F, Herculano B, Wang Z, Matesanz F, Urcelay E, Vandenbroeck K, Leyva L, Gris D, Massaad C, Quandt JA, Traboulsee AL, Encarnacion M, Bernales CQ, Follett J, Yee IM, Criscuoli MG, Deutschländer A, Reinthaler EM, Zrzavy T, Mascia E, Zauli A, Esposito F, Alcina A, Izquierdo G, Espino-Paisán L, Mena J, Antigüedad A, Urbaneja-Romero P, Ortega-Pinazo J, Song W, Sadovnick AD. Exome sequencing in multiple sclerosis families identifies 12 candidate genes and nominates biological pathways for the genesis of disease. PLoS Genet 2019; 15:e1008180. [PMID: 31170158 PMCID: PMC6553700 DOI: 10.1371/journal.pgen.1008180] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 05/07/2019] [Indexed: 12/12/2022] Open
Abstract
Multiple sclerosis (MS) is an inflammatory disease of the central nervous system characterized by myelin loss and neuronal dysfunction. Although the majority of patients do not present familial aggregation, Mendelian forms have been described. We performed whole-exome sequencing analysis in 132 patients from 34 multi-incident families, which nominated likely pathogenic variants for MS in 12 genes of the innate immune system that regulate the transcription and activation of inflammatory mediators. Rare missense or nonsense variants were identified in genes of the fibrinolysis and complement pathways (PLAU, MASP1, C2), inflammasome assembly (NLRP12), Wnt signaling (UBR2, CTNNA3, NFATC2, RNF213), nuclear receptor complexes (NCOA3), and cation channels and exchangers (KCNG4, SLC24A6, SLC8B1). These genes suggest a disruption of interconnected immunological and pro-inflammatory pathways as the initial event in the pathophysiology of familial MS, and provide the molecular and biological rationale for the chronic inflammation, demyelination and neurodegeneration observed in MS patients.
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Affiliation(s)
| | | | - Filippo Martinelli-Boneschi
- Laboratory of Human Genetics of Neurological Disorders, CNS Inflammatory Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- MS Unit and Department of Neurology, IRCCS Policlinico San Donato, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Bruno Herculano
- Townsend Family Laboratories, Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Zhe Wang
- Townsend Family Laboratories, Department of Psychiatry, University of British Columbia, Vancouver, Canada
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of the Capital Medical University, Beijing, China
| | - Fuencisla Matesanz
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain
| | - Elena Urcelay
- Immunology Dept, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Red Española de Esclerosis Múltiple REEM, Madrid, Spain
| | - Koen Vandenbroeck
- Achucarro Basque Center for Neuroscience, Universidad del País Vasco (UPV/EHU), Leioa, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Laura Leyva
- Red Española de Esclerosis Múltiple REEM, Madrid, Spain
- Instituto de Investigación Biomédica de Málaga-IBIMA, Unidad de Gestion Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Denis Gris
- Division of Immunology, Department of Pediatrics, CR-CHUS, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Canada
| | - Charbel Massaad
- Toxicology, Pharmacology and Cell Signalisation—UMR-S 1124 Université Paris Descartes, Paris, France
| | - Jacqueline A. Quandt
- Department of Pathology, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Anthony L. Traboulsee
- Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Mary Encarnacion
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Cecily Q. Bernales
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Jordan Follett
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Irene M. Yee
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Maria G. Criscuoli
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Angela Deutschländer
- Department of Neurology, Mayo Clinic Florida, Jacksonville, FL, United States of America
- Department of Clinical Genomics, Mayo Clinic Florida, Jacksonville, FL, United States of America
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL, United States of America
| | - Eva M. Reinthaler
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Tobias Zrzavy
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Elisabetta Mascia
- Laboratory of Human Genetics of Neurological Disorders, CNS Inflammatory Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Zauli
- Laboratory of Human Genetics of Neurological Disorders, CNS Inflammatory Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Esposito
- Laboratory of Human Genetics of Neurological Disorders, CNS Inflammatory Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Antonio Alcina
- Department of Cell Biology and Immunology, Instituto de Parasitología y Biomedicina López Neyra (IPBLN), CSIC, Granada, Spain
| | | | - Laura Espino-Paisán
- Immunology Dept, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Red Española de Esclerosis Múltiple REEM, Madrid, Spain
| | - Jorge Mena
- Achucarro Basque Center for Neuroscience, Universidad del País Vasco (UPV/EHU), Leioa, Spain
| | - Alfredo Antigüedad
- Neurology Department, Hospital Universitario de Cruces, S/N, Baracaldo, Spain
| | - Patricia Urbaneja-Romero
- Red Española de Esclerosis Múltiple REEM, Madrid, Spain
- Instituto de Investigación Biomédica de Málaga-IBIMA, Unidad de Gestion Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Jesús Ortega-Pinazo
- Instituto de Investigación Biomédica de Málaga-IBIMA, Unidad de Gestion Clínica de Neurociencias, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Weihong Song
- Townsend Family Laboratories, Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - A. Dessa Sadovnick
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
- Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, Canada
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Chiarella SE, Rabin EE, Ostilla LA, Flozak AS, Gottardi CJ. αT-catenin: A developmentally dispensable, disease-linked member of the α-catenin family. Tissue Barriers 2018; 6:e1463896. [PMID: 29746206 PMCID: PMC6179130 DOI: 10.1080/21688370.2018.1463896] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 02/19/2018] [Accepted: 02/23/2018] [Indexed: 02/07/2023] Open
Abstract
α-Catenins are actin-filament binding proteins and critical subunits of the cadherin-catenin cell-cell adhesive complex. They are found in nominally-defined epithelial (E), neural (N), and testis (T) forms transcribed from three distinct genes. While most of α-catenin research has focused on the developmentally essential founding member, αE-catenin, this review discusses recent studies on αT-catenin (CTNNA3), a developmentally dispensable isoform that is emerging as relevant to cardiac, allergic and neurological diseases.
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Affiliation(s)
- Sergio E. Chiarella
- Department of Medicine
- Cellular and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL
| | - Erik E. Rabin
- Department of Medicine
- Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL
| | - Lorena A. Ostilla
- Department of Medicine
- Cellular and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL
| | - Annette S. Flozak
- Department of Medicine
- Cellular and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL
| | - Cara J. Gottardi
- Department of Medicine
- Cellular and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL
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7
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Wang AL, Tantisira KG. Personalized management of asthma exacerbations: lessons from genetic studies. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2016; 1:487-495. [PMID: 29051920 DOI: 10.1080/23808993.2016.1269600] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION The genetics of severe asthma and asthma exacerbations are distinct from milder forms of asthma. Gene-environmental interactions contribute to the complexity and heterogeneity of severe asthma and asthma exacerbations, and pharmacogenomic studies have also identified genes that affect susceptibility to asthma exacerbations. AREAS COVERED Studies on the genetics, gene-environment interactions, and pharmacogenomics of asthma exacerbations are reviewed. Multiple individual genetic variants have been identified to be associated with asthma exacerbations but each genetic polymorphism explains only a fraction of the disease and by itself is not able to translate into clinical practice. Research is shifting from candidate gene studies and genome wide association studies towards more integrative approaches to translate genetic findings into clinical diagnostic and therapeutic tools. EXPERT COMMENTARY Integrative approaches combining polygenic or genomic data with multi-omics technologies have the potential to discover new biologic mechanisms and biomarkers for severe asthma and asthma exacerbations. Greater understanding of genomics and underlying biologic pathways will also lead to improved prevention and treatment, lowering costs, morbidity, and mortality. The utilization of genomic testing and personalized medicine may revolutionize asthma management, in particular for patients with severe, refractory asthma.
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Affiliation(s)
- Alberta L Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Division of Rheumatology, Immunology and Allergy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Kelan G Tantisira
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
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8
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Li J, Fung I, Glessner JT, Pandey R, Wei Z, Bakay M, Mentch FD, Pellegrino R, Wang T, Kim C, Hou C, Wang F, Chiavacci RM, Thomas KA, Spergel JM, Hakonarson H, Sleiman PMA. Copy Number Variations in CTNNA3 and RBFOX1 Associate with Pediatric Food Allergy. THE JOURNAL OF IMMUNOLOGY 2015; 195:1599-607. [PMID: 26188062 DOI: 10.4049/jimmunol.1402310] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 09/09/2014] [Accepted: 05/20/2015] [Indexed: 11/19/2022]
Abstract
Food allergy is a significant public health concern, especially among children. Previous candidate gene studies suggested a few susceptibility loci for food allergy, but no study investigated the contribution of copy number variations (CNVs) to food allergy on a genome-wide scale. To investigate the genetics of food allergy, we performed CNV assessment using high-resolution genome-wide single nucleotide polymorphism arrays. CNV calls from a total of 357 cases with confirmed food allergy and 3980 controls were analyzed within a discovery cohort, followed by a replication analysis composed of 167 cases and 1573 controls. We identified that CNVs in CTNNA3 were significantly associated with food allergy in both the discovery cohort and the replication cohort. Of particular interest, CTNNA3 CNVs hit exons or intron regions rich in histone marker H3K4Me1. CNVs in a second gene (RBFOX1) showed a significant association (p = 7.35 × 10(-5)) with food allergy at the genome-wide level in our meta-analysis of the European ancestry cohorts. The presence of these CNVs was confirmed by quantitative PCR. Furthermore, knockdown of CTNNA3 resulted in upregulation of CD63 and CD203c in mononuclear cells upon PMA stimulation, suggesting a role in sensitization to allergen. We uncovered at least two plausible genes harboring CNV loci that are enriched in pediatric patients with food allergies. The novel gene candidates discovered in this study by genome-wide CNV analysis are compelling drug and diagnostic targets for food allergy.
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Affiliation(s)
- Jin Li
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Irene Fung
- Division of Allergy and Immunology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Joseph T Glessner
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Rahul Pandey
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Zhi Wei
- Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 08540
| | - Marina Bakay
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Frank D Mentch
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Renata Pellegrino
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Tiancheng Wang
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Cecilia Kim
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Cuiping Hou
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Fengxiang Wang
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Rosetta M Chiavacci
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Kelly A Thomas
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Jonathan M Spergel
- Division of Allergy and Immunology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; Center for Pediatric Eosinophilic Disorders, The Children's Hospital of Philadelphia, Philadelphia, PA 19104; and
| | - Hakon Hakonarson
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
| | - Patrick M A Sleiman
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA 19104; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104; Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104
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9
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Abstract
In recent years good progress has been made in uncovering the genetic underpinnings of schizophrenia. Even so, as a polygenic disorder, schizophrenia has a complex etiology that is far from understood. Meanwhile data are being collected enabling the study of interactions between genes and the environment. A confluence of data from genetic and environmental exposure studies points to the role of infections and immunity in the pathophysiology of schizophrenia. In a recent study by Børglum et al., a single nucleotide polymorphism (SNP) in the gene CTNNA3 was identified that may provide clues to gene-environment interactions. The carriers of the minor allele for the SNP had a 5 fold risk of later developing schizophrenia if their mothers were CMV positive, while the children not carrying the allele had no excess risk from maternal CMV. In the current paper we summarize recent advances to clarify possible mechanism of such interactions between the host genotype and infection in schizophrenia risk.
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Affiliation(s)
- Jakob Grove
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Denmark
| | - Anders D. Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Denmark
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Denmark
| | - Brad D. Pearce
- Rollins School of Public Health, Department of Epidemiology, Emory University, Atlanta GA, USA
- Center for Translational Social Neuroscience, Emory University, Atlanta GA, USA
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10
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Winther M, Walmod PS. Neural cell adhesion molecules belonging to the family of leucine-rich repeat proteins. ADVANCES IN NEUROBIOLOGY 2014; 8:315-95. [PMID: 25300143 DOI: 10.1007/978-1-4614-8090-7_14] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Leucine-rich repeats (LRRs) are motifs that form protein-ligand interaction domains. There are approximately 140 human genes encoding proteins with extracellular LRRs. These encode cell adhesion molecules (CAMs), proteoglycans, G-protein-coupled receptors, and other types of receptors. Here we give a brief description of 36 proteins with extracellular LRRs that all can be characterized as CAMs or putative CAMs expressed in the nervous system. The proteins are involved in multiple biological processes in the nervous system including the proliferation and survival of cells, neuritogenesis, axon guidance, fasciculation, myelination, and the formation and maintenance of synapses. Moreover, the proteins are functionally implicated in multiple diseases including cancer, hearing impairment, glaucoma, Alzheimer's disease, multiple sclerosis, Parkinson's disease, autism spectrum disorders, schizophrenia, and obsessive-compulsive disorders. Thus, LRR-containing CAMs constitute a large group of proteins of pivotal importance for the development, maintenance, and regeneration of the nervous system.
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11
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LRRTM3 interacts with APP and BACE1 and has variants associating with late-onset Alzheimer's disease (LOAD). PLoS One 2013; 8:e64164. [PMID: 23750206 PMCID: PMC3672107 DOI: 10.1371/journal.pone.0064164] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2013] [Accepted: 04/09/2013] [Indexed: 01/11/2023] Open
Abstract
Leucine rich repeat transmembrane protein 3 (LRRTM3) is member of a synaptic protein family. LRRTM3 is a nested gene within α-T catenin (CTNNA3) and resides at the linkage peak for late-onset Alzheimer’s disease (LOAD) risk and plasma amyloid β (Aβ) levels. In-vitro knock-down of LRRTM3 was previously shown to decrease secreted Aβ, although the mechanism of this is unclear. In SH-SY5Y cells overexpressing APP and transiently transfected with LRRTM3 alone or with BACE1, we showed that LRRTM3 co-localizes with both APP and BACE1 in early endosomes, where BACE1 processing of APP occurs. Additionally, LRRTM3 co-localizes with APP in primary neuronal cultures from Tg2576 mice transduced with LRRTM3-expressing adeno-associated virus. Moreover, LRRTM3 co-immunoprecipitates with both endogenous APP and overexpressed BACE1, in HEK293T cells transfected with LRRTM3. SH-SY5Y cells with knock-down of LRRTM3 had lower BACE1 and higher CTNNA3 mRNA levels, but no change in APP. Brain mRNA levels of LRRTM3 showed significant correlations with BACE1, CTNNA3 and APP in ∼400 humans, but not in LRRTM3 knock-out mice. Finally, we assessed 69 single nucleotide polymorphisms (SNPs) within and flanking LRRTM3 in 1,567 LOADs and 2,082 controls and identified 8 SNPs within a linkage disequilibrium block encompassing 5′UTR-Intron 1 of LRRTM3 that formed multilocus genotypes (MLG) with suggestive global association with LOAD risk (p = 0.06), and significant individual MLGs. These 8 SNPs were genotyped in an independent series (1,258 LOADs and 718 controls) and had significant global and individual MLG associations in the combined dataset (p = 0.02–0.05). Collectively, these results suggest that protein interactions between LRRTM3, APP and BACE1, as well as complex associations between mRNA levels of LRRTM3, CTNNA3, APP and BACE1 in humans might influence APP metabolism and ultimately risk of AD.
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12
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Xu C, Aragam N, Li X, Villla EC, Wang L, Briones D, Petty L, Posada Y, Arana TB, Cruz G, Mao C, Camarillo C, Su BB, Escamilla MA, Wang K. BCL9 and C9orf5 are associated with negative symptoms in schizophrenia: meta-analysis of two genome-wide association studies. PLoS One 2013; 8:e51674. [PMID: 23382809 PMCID: PMC3558516 DOI: 10.1371/journal.pone.0051674] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2012] [Accepted: 11/05/2012] [Indexed: 11/18/2022] Open
Abstract
Schizophrenia is a chronic and debilitating psychiatric condition affecting slightly more than 1% of the population worldwide and it is a multifactorial disorder with a high degree of heritability (80%) based on family and twin studies. Increasing lines of evidence suggest intermediate phenotypes/endophenotypes are more associated with causes of the disease and are less genetically complex than the broader disease spectrum. Negative symptoms in schizophrenia are attractive intermediate phenotypes based on their clinical and treatment response features. Therefore, our objective was to identify genetic variants underlying the negative symptoms of schizophrenia by analyzing two genome-wide association (GWA) data sets consisting of a total of 1,774 European-American patients and 2,726 controls. Logistic regression analysis of negative symptoms as a binary trait (adjusted for age and sex) was performed using PLINK. For meta-analysis of two datasets, the fixed-effect model in PLINK was applied. Through meta-analysis we identified 25 single nucleotide polymorphisms (SNPs) associated with negative symptoms with p<5×10(-5). Especially we detected five SNPs in the first two genes/loci strongly associated with negative symptoms of schizophrenia (P(meta-analysis)<6.22×10(-6)), which included three SNPs in the BCL9 gene: rs583583 showed the strongest association at a P(meta-analysis) of 6.00×10(-7) and two SNPs in the C9orf5 (the top SNP is rs643410 with a p = 1.29 ×10(-6)). Through meta-analysis, we identified several additional negative symptoms associated genes (ST3GAL1, RNF144, CTNNA3 and ZNF385D). This is the first report of the common variants influencing negative symptoms of schizophrenia. These results provide direct evidence of using of negative symptoms as an intermediate phenotype to dissect the complex genetics of schizophrenia. However, additional studies are warranted to examine the underlying mechanisms of these disease-associated SNPs in these genes.
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Affiliation(s)
- Chun Xu
- Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, Departments of Psychiatry/Neurology and the Center of Excellence in Neuroscience, El Paso, Texas, United States of America
| | - Nagesh Aragam
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, Tennesee, United States of America
- Department of Microbiology and Immunology, Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Xia Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | | | - Liang Wang
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, Tennesee, United States of America
| | - David Briones
- Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, Departments of Psychiatry/Neurology and the Center of Excellence in Neuroscience, El Paso, Texas, United States of America
| | - Leonora Petty
- Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, Departments of Psychiatry/Neurology and the Center of Excellence in Neuroscience, El Paso, Texas, United States of America
| | - Yolanda Posada
- Walden University, Minneapolis, Minnesota, United States of America
| | - Tania Bedard Arana
- Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, Departments of Psychiatry/Neurology and the Center of Excellence in Neuroscience, El Paso, Texas, United States of America
| | - Grace Cruz
- Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, Departments of Psychiatry/Neurology and the Center of Excellence in Neuroscience, El Paso, Texas, United States of America
| | | | - Cynthia Camarillo
- Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, Departments of Psychiatry/Neurology and the Center of Excellence in Neuroscience, El Paso, Texas, United States of America
| | | | - Michael A. Escamilla
- Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, Departments of Psychiatry/Neurology and the Center of Excellence in Neuroscience, El Paso, Texas, United States of America
| | - KeSheng Wang
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, Tennesee, United States of America
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13
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Boggetti B, Niessen CM. Adherens junctions in mammalian development, homeostasis and disease: lessons from mice. Subcell Biochem 2012; 60:321-55. [PMID: 22674078 DOI: 10.1007/978-94-007-4186-7_14] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Mice have proven to be a particularly powerful model to study molecular mechanisms of development and disease. The reason for this is the close evolutionary relationship between rodents and humans, similarities in physiological mechanisms in mice and human, and the large number of techniques available to study gene functions in mice. A large number of mice mutations, either germ line, conditional or inducible, have been generated in the past years for adherens junctions components, and the number is still increasing. In this review we will discuss mice models that have contributed to understanding the developmental and physiological role of adherens junctions and their components in mammals and have revealed novel mechanistic aspects of how adherens junctions regulate morphogenesis and tissue homeostasis.
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Affiliation(s)
- Barbara Boggetti
- Department of Dermatology, Center for Molecular Medicine, University of Cologne, Room 4A.05, Robert Kochstrasse 21, 50931, Cologne, Germany
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