1
|
Huang X, Liang W, Yang R, Jin L, Zhao K, Chen J, Shang X, Zhou Y, Wang X, Yu H. Variations in the LINGO2 and GLIS3 Genes and Gene-Environment Interactions Increase Gestational Diabetes Mellitus Risk in Chinese Women. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:11596-11605. [PMID: 38888423 DOI: 10.1021/acs.est.4c03221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Gestational diabetes mellitus (GDM) has been found to be a common complication in pregnant women, known to escalate the risk of negative obstetric outcomes. In our study, we genotyped 1,566 Chinese pregnant women for two single nucleotide polymorphisms (SNPs) in the LINGO2 gene and one SNP in the GLIS3 gene, utilizing targeted next-generation sequencing. The impact of two interacting genes, and the interaction of genes with the environment─including exposure to particulate matter (PM2.5), ozone (O3), and variations in prepregnancy body mass index (BMI)─on the incidence of GDM were analyzed using logistic regression. Our findings identify the variants LINGO2 rs10968576 (P = 0.022, OR = 1.224) and rs1412239 (P = 0.018, OR = 1.231), as well as GLIS3 rs10814916 (P = 0.028, OR = 1.172), as risk mutations significantly linked to increased susceptibility to GDM. Further analysis underscores the crucial role of gene-gene and gene-environment interactions in the development of GDM among Chinese women (P < 0.05). Particularly, the individuals carrying the rs10968576 G-rs1412239 G-rs10814916 C haplotype exhibit increased susceptibility to GDM during the prepregnancy period when interacting with PM2.5, O3, and BMI (P = 8.004 × 10-7, OR = 1.206; P = 6.3264 × 10-11, OR = 1.280; P = 9.928 × 10-7, OR = 1.334, respectively). In conclusion, our research emphasizes the importance of the interaction between specific gene variations─LINGO2 and GLIS3─and environmental factors in influencing GDM risk. Notably, we found significant associations between these gene variations and GDM risk across various environmental exposure periods.
Collapse
Affiliation(s)
- Xiao Huang
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi 563000, China
| | - Weiwei Liang
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi 563000, China
| | - Runqiu Yang
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi 563000, China
| | - Lei Jin
- Institute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100091, China
| | - Kai Zhao
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Juan Chen
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Xuejun Shang
- Department of Urology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210023, China
| | - Yuanzhong Zhou
- School of Public Health, Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi Medical University, Zunyi 563000, China
| | - Xin Wang
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi 563000, China
| | - Hongsong Yu
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi 563000, China
| |
Collapse
|
2
|
Lee J, Cho K, Weigel KA, White HM, Do C, Choi I. Identification of genomic regions and genes associated with subclinical ketosis in periparturient dairy cows. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2024; 66:567-576. [PMID: 38975580 PMCID: PMC11222121 DOI: 10.5187/jast.2023.e97] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/16/2023] [Accepted: 09/12/2023] [Indexed: 07/09/2024]
Abstract
Subclinical ketosis (SCK) is a prevalent metabolic disorder that occurs during the transition to lactation period. It is defined as a high blood concentration of ketone bodies (beta-hydroxybutyric acid f ≥ 1.2 mmol/L) within the first few weeks of lactation, and often presents without clinical signs. SCK is mainly caused by negative energy balance (NEB). The objective of this study is to identify single nucleotide polymorphisms (SNPs) associated with SCK using genome-wide association studies (GWAS), and to predict the biological functions of proximal genes using gene-set enrichment analysis (GSEA). Blood samples were collected from 112 Holstein cows between 5 and 18 days postpartum to determine the incidence of SCK. Genomic DNA extracted from both SCK and healthy cows was examined using the Illumina Bovine SNP50K BeadChip for genotyping. GWAS revealed 194 putative SNPs and 163 genes associated with those SNPs. Additionally, GSEA showed that the genes retrieved by Database for Annotation, Visualization, and Integrated Discovery (DAVID) belonged to calcium signaling, starch and sucrose, immune network, and metabolic pathways. Furthermore, the proximal genes were found to be related to germ cell and early embryo development. In summary, this study proposes several feasible SNPs and genes associated with SCK through GWAS and GSEA. These candidates can be utilized in selective breeding programs to reduce the genetic risk for SCK and subfertility in high-performance dairy cows.
Collapse
Affiliation(s)
- Jihwan Lee
- Dairy Science Division, National Institute
of Animal Science, RDA, Cheon 31000, Korea
| | - KwangHyeon Cho
- Department of Beef and Dairy Science,
Korea National College of Agriculture and Fisheries, Jeonju
54874, Korea
| | - Kent A. Weigel
- Department of Animal and Dairy Sciences,
University of Wisconsin, Madison 53706, USA
| | - Heather M. White
- Department of Animal and Dairy Sciences,
University of Wisconsin, Madison 53706, USA
| | - ChangHee Do
- Department of Animal and Dairy Sciences,
Chungnam National University, Daejeon 34134, Korea
| | - Inchul Choi
- Department of Animal and Dairy Sciences,
Chungnam National University, Daejeon 34134, Korea
| |
Collapse
|
3
|
Chen S, Zhou Z, Zhou Z, Liu Y, Sun S, Huang K, Yang Q, Guo Y. Non-targeted metabolomics revealed novel links between serum metabolites and primary ovarian insufficiency: a Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1307944. [PMID: 38737546 PMCID: PMC11082646 DOI: 10.3389/fendo.2024.1307944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 04/03/2024] [Indexed: 05/14/2024] Open
Abstract
Background Primary ovarian insufficiency (POI) is a common clinical endocrine disorder with a high heterogeneity in both endocrine hormones and etiological phenotypes. However, the etiology of POI remains unclear. Herein, we unraveled the causality of genetically determined metabolites (GDMs) on POI through Mendelian randomization (MR) study with the overarching goal of disclosing underlying mechanisms. Methods Genetic links with 486 metabolites were retrieved from GWAS data of 7824 European participants as exposures, while GWAS data concerning POI were utilized as the outcome. Via MR analysis, we selected inverse-variance weighted (IVW) method for primary analysis and several additional MR methods (MR-Egger, weighted median, and MR-PRESSO) for sensitivity analyses. MR-Egger intercept and Cochran's Q statistical analysis were conducted to assess potential heterogeneity and pleiotropy. In addition, genetic variations in the key target metabolite were scrutinized further. We conducted replication, meta-analysis, and linkage disequilibrium score regression (LDSC) to reinforce our findings. The MR Steiger test and reverse MR analysis were utilized to assess the robustness of genetic directionality. Furthermore, to deeply explore causality, we performed colocalization analysis and metabolic pathway analysis. Results Via IVW methods, our study identified 33 metabolites that might exert a causal effect on POI development. X-11437 showed a robustly significant relationship with POI in four MR analysis methods (P IVW=0.0119; P weighted-median =0.0145; PMR-Egger =0.0499; PMR-PRESSO =0.0248). Among the identified metabolites, N-acetylalanine emerged as the most significant in the primary MR analysis using IVW method, reinforcing its pivotal status as a serum biomarker indicative of an elevated POI risk with the most notable P-value (P IVW=0.0007; PMR-PRESSO =0.0022). Multiple analyses were implemented to further demonstrate the reliability and stability of our deduction of causality. Reverse MR analysis did not provide evidence for the causal effects of POI on 33 metabolites. Colocalization analysis revealed that some causal associations between metabolites and POI might be driven by shared genetic variants. Conclusion By incorporating genomics with metabolomics, this study sought to offer a comprehensive analysis in causal impact of serum metabolome phenotypes on risks of POI with implications for underlying mechanisms, disease screening and prevention.
Collapse
Affiliation(s)
- Shuang Chen
- Center of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhaokai Zhou
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zihan Zhou
- Center of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yu Liu
- Center of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shihao Sun
- Department of Breast Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Huang
- Center of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qingling Yang
- Center of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yihong Guo
- Center of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|
4
|
Middha P, Wang X, Behrens S, Bolla MK, Wang Q, Dennis J, Michailidou K, Ahearn TU, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Augustinsson A, Baert T, Freeman LEB, Becher H, Beckmann MW, Benitez J, Bojesen SE, Brauch H, Brenner H, Brooks-Wilson A, Campa D, Canzian F, Carracedo A, Castelao JE, Chanock SJ, Chenevix-Trench G, Cordina-Duverger E, Couch FJ, Cox A, Cross SS, Czene K, Dossus L, Dugué PA, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Figueroa JD, Fletcher O, Flyger H, Gabrielson M, Gago-Dominguez M, Giles GG, González-Neira A, Grassmann F, Grundy A, Guénel P, Haiman CA, Håkansson N, Hall P, Hamann U, Hankinson SE, Harkness EF, Holleczek B, Hoppe R, Hopper JL, Houlston RS, Howell A, Hunter DJ, Ingvar C, Isaksson K, Jernström H, John EM, Jones ME, Kaaks R, Keeman R, Kitahara CM, Ko YD, Koutros S, Kurian AW, Lacey JV, Lambrechts D, Larson NL, Larsson S, Le Marchand L, Lejbkowicz F, Li S, Linet M, Lissowska J, Martinez ME, Maurer T, Mulligan AM, Mulot C, Murphy RA, Newman WG, Nielsen SF, Nordestgaard BG, Norman A, O'Brien KM, Olson JE, Patel AV, Prentice R, Rees-Punia E, Rennert G, Rhenius V, Ruddy KJ, Sandler DP, Scott CG, Shah M, Shu XO, Smeets A, Southey MC, Stone J, Tamimi RM, Taylor JA, Teras LR, Tomczyk K, Troester MA, Truong T, Vachon CM, Wang SS, Weinberg CR, Wildiers H, Willett W, Winham SJ, Wolk A, Yang XR, Zamora MP, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, García-Closas M, Schmidt MK, Kraft P, Milne RL, Lindström S, Easton DF, Chang-Claude J. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry. Breast Cancer Res 2023; 25:93. [PMID: 37559094 PMCID: PMC10411002 DOI: 10.1186/s13058-023-01691-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer. METHODS Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs. RESULTS Assuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94). CONCLUSIONS Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.
Collapse
Affiliation(s)
- Pooja Middha
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Xiaoliang Wang
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Paul L Auer
- Division of Biostatistics, Institute for Health and Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | | | - Thaïs Baert
- Department of Oncology, Leuven Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Javier Benitez
- Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Angel Carracedo
- Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB2), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Emilie Cordina-Duverger
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Angela Cox
- Department of Oncology and Metabolism, Sheffield Institute for Nucleic Acids (SInFoNiA), University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Laure Dossus
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Pierre-Antoine Dugué
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Biological Sciences, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Graham G Giles
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Felix Grassmann
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute for Clinical Research and Systems Medicine, Health and Medical University, Potsdam, Germany
| | - Anne Grundy
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Pascal Guénel
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Amherst, MA, USA
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- Nightingale and Genesis Prevention Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Unit, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Christian Ingvar
- Surgery, Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Karolin Isaksson
- Department of Surgery, Kristianstad Hospital, Kristianstad, Sweden
| | - Helena Jernström
- Oncology, Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yon-Dschun Ko
- Department of Internal Medicine, Johanniter GmbH Bonn, Johanniter Krankenhaus, Bonn, Germany
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison W Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - James V Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Nicole L Larson
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Susanna Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Flavio Lejbkowicz
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Shuai Li
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Martha Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Oncology Institute, Warsaw, Poland
| | - Maria Elena Martinez
- Moores Cancer Center and Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Tabea Maurer
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Claire Mulot
- INSERM UMR-S1138. CRB EPIGENETEC, Université Paris Cité, Paris, France
| | - Rachel A Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
| | - William G Newman
- Division of Evolution and Genomic Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Biological Sciences, University of Manchester, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sune F Nielsen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Børge G Nordestgaard
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Aaron Norman
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Janet E Olson
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ross Prentice
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Erika Rees-Punia
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Valerie Rhenius
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | | | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Christopher G Scott
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Mitul Shah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Genetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Katarzyna Tomczyk
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thérèse Truong
- Team 'Exposome and Heredity', CESP, Gustave Roussy, INSERM, University Paris-Saclay, UVSQ, Villejuif, France
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Sophia S Wang
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, USA
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Hans Wildiers
- Department of Oncology, Leuven Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Walter Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stacey J Winham
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - M Pilar Zamora
- Servicio de Oncología Médica, Hospital Universitario La Paz, Madrid, Spain
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, CA, USA
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Roger L Milne
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sara Lindström
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| |
Collapse
|
5
|
Dye CK, Domingo-Relloso A, Kupsco A, Tinkelman NE, Spratlen MJ, Bozack AK, Tellez-Plaza M, Goessler W, Haack K, Umans JG, Baccarelli AA, Cole SA, Navas-Acien A. Maternal DNA methylation signatures of arsenic exposure is associated with adult offspring insulin resistance in the Strong Heart Study. ENVIRONMENT INTERNATIONAL 2023; 173:107774. [PMID: 36805808 PMCID: PMC10166110 DOI: 10.1016/j.envint.2023.107774] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/16/2022] [Accepted: 01/20/2023] [Indexed: 05/10/2023]
Abstract
Exposure to low to moderate arsenic (As) levels has been associated with type 2 diabetes (T2D) and other chronic diseases in American Indian communities. Prenatal exposure to As may also increase the risk for T2D in adulthood, and maternal As has been associated with adult offspring metabolic health measurements. We hypothesized that T2D-related outcomes in adult offspring born to women exposed to low to moderate As can be evaluated utilizing a maternally-derived molecular biosignature of As exposure. Herein, we evaluated the association of maternal DNA methylation with incident T2D and insulin resistance (Homeostatic model assessment of insulin resistance [HOMA2-IR]) in adult offspring. For DNA methylation, we used 20 differentially methylated cytosine-guanine dinucleotides (CpG) previously associated with the sum of inorganic and methylated As species (ΣAs) in urine in the Strong Heart Study (SHS). Of these 20 CpGs, we found six CpGs nominally associated (p < 0.05) with HOMA2-IR in a fully adjusted model that included clinically relevant covariates and offspring adiposity measurements; a similar model that adjusted instead for maternal adiposity measurements found three CpGs nominally associated with HOMA2-IR, two of which overlapped the offspring adiposity model. After adjusting for multiple comparisons, cg03036214 remained associated with HOMA2-IR (q < 0.10) in the offspring adiposity model. The odds ratio of incident T2D increased with an increase in maternal DNA methylation at one HOMA2-IR associated CpG in the model adjusting for offspring adiposity, cg12116137, whereas adjusting for maternal adiposity had a minimal effect on the association. Our data suggests offspring adiposity, rather than maternal adiposity, potentially influences the effects of maternal DNAm signatures on offspring metabolic health parameters. Here, we have presented evidence supporting a role for epigenetic biosignatures of maternal As exposure as a potential biomarker for evaluating risk of T2D-related outcomes in offspring later in life.
Collapse
Affiliation(s)
- Christian K Dye
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA.
| | - Arce Domingo-Relloso
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA; Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain
| | - Allison Kupsco
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Naomi E Tinkelman
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Miranda J Spratlen
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Anne K Bozack
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Maria Tellez-Plaza
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain
| | | | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Jason G Umans
- MedStar Health Research Institute, Washington, DC, USA; Center for Clinical and Translational Sciences, Georgetown-Howard Universities, Washington, DC, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| |
Collapse
|
6
|
Feil D, Abrishamcar S, Christensen GM, Vanker A, Koen N, Kilanowski A, Hoffman N, Wedderburn CJ, Donald KA, Kobor MS, Zar HJ, Stein DJ, Hüls A. DNA methylation as a potential mediator of the association between indoor air pollution and neurodevelopmental delay in a South African birth cohort. Clin Epigenetics 2023; 15:31. [PMID: 36855151 PMCID: PMC9972733 DOI: 10.1186/s13148-023-01444-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Exposure to indoor air pollution during pregnancy has been linked to neurodevelopmental delay in toddlers. Epigenetic modification, particularly DNA methylation (DNAm), may explain this link. In this study, we employed three high-dimensional mediation analysis methods (HIMA, DACT, and gHMA) followed by causal mediation analysis to identify differentially methylated CpG sites and genes that mediate the association between indoor air pollution and neurodevelopmental delay. Analyses were performed using data from 142 mother to child pairs from a South African birth cohort, the Drakenstein Child Health Study. DNAm from cord blood was measured using the Infinium MethylationEPIC and HumanMethylation450 arrays. Neurodevelopment was assessed at age 2 years using the Bayley Scores of Infant and Toddler Development, 3rd edition across four domains (cognitive development, general adaptive behavior, language, and motor function). Particulate matter with an aerodynamic diameter of 10 μm or less (PM10) was measured inside participants' homes during the second trimester of pregnancy. RESULTS A total of 29 CpG sites and 4 genes (GOPC, RP11-74K11.1, DYRK1A, RNMT) were identified as significant mediators of the association between PM10 and cognitive neurodevelopment. The estimated proportion mediated (95%-confidence interval) ranged from 0.29 [0.01, 0.86] for cg00694520 to 0.54 [0.11, 1.56] for cg05023582. CONCLUSIONS Our findings suggest that DNAm may mediate the association between prenatal PM10 exposure and cognitive neurodevelopment. DYRK1A and several genes that our CpG sites mapped to, including CNKSR1, IPO13, IFNGR1, LONP2, and CDH1, are associated with biological pathways implicated in cognitive neurodevelopment and three of our identified CpG sites (cg23560546 [DAPL1], cg22572779 [C6orf218], cg15000966 [NT5C]) have been previously associated with fetal brain development. These findings are novel and add to the limited literature investigating the relationship between indoor air pollution, DNAm, and neurodevelopment, particularly in low- and middle-income country settings and non-white populations.
Collapse
Affiliation(s)
- Dakotah Feil
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
| | - Sarina Abrishamcar
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
| | - Grace M Christensen
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
| | - Aneesa Vanker
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA and SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Nastassja Koen
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Anna Kilanowski
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
- German Research Center for Environmental Health, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Nadia Hoffman
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Catherine J Wedderburn
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA and SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK
| | - Kirsten A Donald
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA and SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Michael S Kobor
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital Research Institute, Vancouver, BC, Canada
- Centre for Molecular Medicine and Therapeutics, Vancouver, BC, Canada
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA and SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Dan J Stein
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Anke Hüls
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| |
Collapse
|
7
|
Autism-associated miR-873 regulates ARID1B, SHANK3 and NRXN2 involved in neurodevelopment. Transl Psychiatry 2020; 10:418. [PMID: 33262327 PMCID: PMC7708977 DOI: 10.1038/s41398-020-01106-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 10/21/2020] [Accepted: 11/17/2020] [Indexed: 12/20/2022] Open
Abstract
Autism spectrum disorders (ASD) are highly heritable neurodevelopmental disorders with significant genetic heterogeneity. Noncoding microRNAs (miRNAs) are recognised as playing key roles in development of ASD albeit the function of these regulatory genes remains unclear. We previously conducted whole-exome sequencing of Australian families with ASD and identified four novel single nucleotide variations in mature miRNA sequences. A pull-down transcriptome analysis using transfected SH-SY5Y cells proposed a mechanistic model to examine changes in binding affinity associated with a unique mutation found in the conserved 'seed' region of miR-873-5p (rs777143952: T > A). Results suggested several ASD-risk genes were differentially targeted by wild-type and mutant miR-873 variants. In the current study, a dual-luciferase reporter assay confirmed miR-873 variants have a 20-30% inhibition/dysregulation effect on candidate autism risk genes ARID1B, SHANK3 and NRXN2 and also confirmed the affected expression with qPCR. In vitro mouse hippocampal neurons transfected with mutant miR-873 showed less morphological complexity and enhanced sodium currents and excitatory neurotransmission compared to cells transfected with wild-type miR-873. A second in vitro study showed CRISPR/Cas9 miR-873 disrupted SH-SY5Y neuroblastoma cells acquired a neuronal-like morphology and increased expression of ASD important genes ARID1B, SHANK3, ADNP2, ANK2 and CHD8. These results represent the first functional evidence that miR-873 regulates key neural genes involved in development and cell differentiation.
Collapse
|
8
|
Guillemain A, Laouarem Y, Cobret L, Štefok D, Chen W, Bloch S, Zahaf A, Blot L, Reverchon F, Normand T, Decoville M, Grillon C, Traiffort E, Morisset-Lopez S. LINGO family receptors are differentially expressed in the mouse brain and form native multimeric complexes. FASEB J 2020; 34:13641-13653. [PMID: 32862444 DOI: 10.1096/fj.202000826r] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/10/2020] [Accepted: 07/29/2020] [Indexed: 11/11/2022]
Abstract
Leucine-rich repeat and immunoglobin-domain containing (LRRIG) proteins that are commonly involved in protein-protein interactions play important roles in nervous system development and maintenance. LINGO-1, one of this family members, is characterized as a negative regulator of neuronal survival, axonal regeneration, and oligodendrocyte precursor cell (OPC) differentiation into mature myelinating oligodendrocytes. Three LINGO-1 homologs named LINGO-2, LINGO-3, and LINGO-4 have been described. However, their relative expression and functions remain unexplored. Here, we show by in situ hybridization and quantitative polymerase chain reaction that the transcripts of LINGO homologs are differentially expressed in the central nervous system. The immunostaining of brain slices confirmed this observation and showed the co-expression of LINGO-1 with its homologs. Using BRET (bioluminescence resonance energy transfer) analysis, we demonstrate that LINGO proteins can physically interact with each of the other ones with comparable affinities and thus form the oligomeric states. Furthermore, co-immunoprecipitation experiments indicate that LINGO proteins form heterocomplexes in both heterologous systems and cortical neurons. Since LINGO-1 is a promising target for the treatment of demyelinating diseases, its ability to form heteromeric complexes reveals a new level of complexity in its functioning and opens the way for new strategies to achieve diverse and nuanced LINGO-1 regulation.
Collapse
Affiliation(s)
- Anthony Guillemain
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Yousra Laouarem
- Diseases and Hormones of the Nervous System U1195, INSERM-Paris Saclay University, Le Kremlin-Bicêtre, France
| | - Laetitia Cobret
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Dora Štefok
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Wanyin Chen
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Solal Bloch
- Diseases and Hormones of the Nervous System U1195, INSERM-Paris Saclay University, Le Kremlin-Bicêtre, France
| | - Amina Zahaf
- Diseases and Hormones of the Nervous System U1195, INSERM-Paris Saclay University, Le Kremlin-Bicêtre, France
| | - Lauren Blot
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Flora Reverchon
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Thierry Normand
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Martine Decoville
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Catherine Grillon
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| | - Elisabeth Traiffort
- Diseases and Hormones of the Nervous System U1195, INSERM-Paris Saclay University, Le Kremlin-Bicêtre, France
| | - Séverine Morisset-Lopez
- Centre de Biophysique Moléculaire (CBM), CNRS, UPR 4301, Université d'Orléans et INSERM, Orléans Cedex 02, France
| |
Collapse
|
9
|
Abstract
Highlights In the current review, we thoroughly reviewed 74 identified articles regarding genes and genetic loci that confer susceptibility to ET. Over 50 genes/genetic loci have been examined for possible association with ET, but consistent results failed to be reported raising the need for collaborative multiethnic studies. Background: Essential tremor (ET) is a common movement disorder, which is mainly characterized by bilateral tremor (postural and/or kinetic) in the upper limbs, with other parts of the body possibly involved. While the pathophysiology of ET is still unclear, there is accumulating evidence indicating that genetic variability may be heavily involved in ET pathogenesis. This review focuses on the role of genetic risk factors in ET susceptibility. Methods: The PubMed database was searched for articles written in English, for studies with humans with ET, controls without ET, and genetic variants. The terms “essential tremor” and “polymorphism” (as free words) were used during search. We also performed meta-analyses for the most examined genetic variants. Results: Seventy four articles concerning LINGO1, LINGO2, LINGO4, SLC1A2, STK32B, PPARGC1A, CTNNA3, DRD3, ALAD, VDR, HMOX1, HMOX2, LRRK1,LRRK2, GBA, SNCA, MAPT, FUS, CYPsIL17A, IL1B, NOS1, ADH1B, TREM2, RIT2, HNMT, MTHFR, PPP2R2B, GSTP1, PON1, GABA receptors and GABA transporter, HS1BP3, ADH2, hSKCa3 and CACNL1A4 genes, and ETM genetic loci were included in the current review. Results from meta-analyses revealed a marginal association for the STK32B rs10937625 and a marginal trend for association (in sensitivity analysis) for the LINGO1 rs9652490, with ET. Discussion: Quite a few variants have been examined for their possible association with ET. LINGO1 rs9652490 and STK32B rs10937625 appear to influence, to some extent, ET susceptibility. However, the conflicting results and the lack of replication for many candidate genes raise the need for collaborative multiethnic studies.
Collapse
|
10
|
Bozack AK, Domingo-Relloso A, Haack K, Gamble MV, Tellez-Plaza M, Umans JG, Best LG, Yracheta J, Gribble MO, Cardenas A, Francesconi KA, Goessler W, Tang WY, Fallin MD, Cole SA, Navas-Acien A. Locus-Specific Differential DNA Methylation and Urinary Arsenic: An Epigenome-Wide Association Study in Blood among Adults with Low-to-Moderate Arsenic Exposure. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:67015. [PMID: 32603190 PMCID: PMC7534587 DOI: 10.1289/ehp6263] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 03/18/2020] [Accepted: 05/29/2020] [Indexed: 05/10/2023]
Abstract
BACKGROUND Chronic exposure to arsenic (As), a human toxicant and carcinogen, remains a global public health problem. Health risks persist after As exposure has ended, suggesting epigenetic dysregulation as a mechanistic link between exposure and health outcomes. OBJECTIVES We investigated the association between total urinary As and locus-specific DNA methylation in the Strong Heart Study, a cohort of American Indian adults with low-to-moderate As exposure [total urinary As, mean ( ± SD ) μ g / g creatinine: 11.7 (10.6)]. METHODS DNA methylation was measured in 2,325 participants using the Illumina MethylationEPIC array. We implemented linear models to test differentially methylated positions (DMPs) and the DMRcate method to identify regions (DMRs) and conducted gene ontology enrichment analysis. Models were adjusted for estimated cell type proportions, age, sex, body mass index, smoking, education, estimated glomerular filtration rate, and study center. Arsenic was measured in urine as the sum of inorganic and methylated species. RESULTS In adjusted models, methylation at 20 CpGs was associated with urinary As after false discovery rate (FDR) correction (FDR < 0.05 ). After Bonferroni correction, 5 CpGs remained associated with total urinary As (p Bonferroni < 0.05 ), located in SLC7A11, ANKS3, LINGO3, CSNK1D, ADAMTSL4. We identified one DMR on chromosome 11 (chr11:2,322,050-2,323,247), annotated to C11orf2; TSPAN32 genes. DISCUSSION This is one of the first epigenome-wide association studies to investigate As exposure and locus-specific DNA methylation using the Illumina MethylationEPIC array and the largest epigenome-wide study of As exposure. The top DMP was located in SLC7A11A, a gene involved in cystine/glutamate transport and the biosynthesis of glutathione, an antioxidant that may protect against As-induced oxidative stress. Additional DMPs were located in genes associated with tumor development and glucose metabolism. Further research is needed, including research in more diverse populations, to investigate whether As-related DNA methylation signatures are associated with gene expression or may serve as biomarkers of disease development. https://doi.org/10.1289/EHP6263.
Collapse
Affiliation(s)
- Anne K Bozack
- Department of Environmental Health Science, Columbia University, New York, New York, USA
| | - Arce Domingo-Relloso
- Department of Environmental Health Science, Columbia University, New York, New York, USA
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain
| | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Mary V Gamble
- Department of Environmental Health Science, Columbia University, New York, New York, USA
| | - Maria Tellez-Plaza
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jason G Umans
- MedStar Health Research Institute, Washington, District of Columbia, USA
- Center for Clinical and Translational Sciences, Georgetown/Howard Universities, Washington, DC, USA
| | - Lyle G Best
- Missouri Breaks Industries Research, Eagle Butte, South Dakota, USA
| | - Joseph Yracheta
- Missouri Breaks Industries Research, Eagle Butte, South Dakota, USA
| | - Matthew O Gribble
- Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkley, California, USA
| | | | | | - Wan-Yee Tang
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Ana Navas-Acien
- Department of Environmental Health Science, Columbia University, New York, New York, USA
| |
Collapse
|
11
|
Huang YQ, Peng ZR, Huang FL, Yang AL. Mechanism of delayed encephalopathy after acute carbon monoxide poisoning. Neural Regen Res 2020; 15:2286-2295. [PMID: 32594050 PMCID: PMC7749483 DOI: 10.4103/1673-5374.284995] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Many hypotheses exist regarding the mechanism underlying delayed encephalopathy after acute carbon monoxide poisoning (DEACMP), including the inflammation and immune-mediated damage hypothesis and the cellular apoptosis and direct neuronal toxicity hypothesis; however, no existing hypothesis provides a satisfactory explanation for the complex clinical processes observed in DEACMP. Leucine-rich repeat and immunoglobulin-like domain-containing protein-1 (LINGO-1) activates the Ras homolog gene family member A (RhoA)/Rho-associated coiled-coil containing protein kinase 2 (ROCK2) signaling pathway, which negatively regulates oligodendrocyte myelination, axonal growth, and neuronal survival, causing myelin damage and participating in the pathophysiological processes associated with many central nervous system diseases. However, whether LINGO-1 is involved in DEACMP remains unclear. A DEACMP model was established in rats by allowing them to inhale 1000 ppm carbon monoxide gas for 40 minutes, followed by 3000 ppm carbon monoxide gas for an additional 20 minutes. The results showed that compared with control rats, DEACMP rats showed significantly increased water maze latency and increased protein and mRNA expression levels of LINGO-1, RhoA, and ROCK2 in the brain. Compared with normal rats, significant increases in injured neurons in the hippocampus and myelin sheath damage in the lateral geniculate body were observed in DEACMP rats. From days 1 to 21 after DEACMP, the intraperitoneal injection of retinoic acid (10 mg/kg), which can inhibit LINGO-1 expression, was able to improve the above changes observed in the DEACMP model. Therefore, the overexpression of LINGO-1 appeared to increase following carbon monoxide poisoning, activating the RhoA/ROCK2 signaling pathway, which may be an important pathophysiological mechanism underlying DEACMP. This study was reviewed and approved by the Medical Ethics Committee of Xiangya Hospital of Central South Hospital (approval No. 201612684) on December 26, 2016.
Collapse
Affiliation(s)
- Yan-Qing Huang
- Department of Hyperbaric Oxygen, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Zheng-Rong Peng
- Department of Hyperbaric Oxygen, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Fang-Ling Huang
- Department of Hyperbaric Oxygen, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - A-Li Yang
- Department of Hyperbaric Oxygen, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| |
Collapse
|
12
|
Abstract
Essential tremor (ET) is a neurological movement disorder characterised by bilateral limb kinetic/postural tremor, with or without tremor in other body parts including head, voice and lower limbs. Since no causative genes for ET have been identified, it is likely that the disorder occurs as a result of complex genetic factors interacting with various cellular and environmental factors that can result in abnormal function of circuitry involving the cerebello-thalamo-cortical pathway. Genetic analyses have uncovered at least 14 loci and 11 genes that are related to ET, as well as various risk or protective genetic factors. Limitations in ET genetic analyses include inconsistent disease definition, small sample size, varied ethnic backgrounds and many other factors that may contribute to paucity of relevant genetic data in ET. Genetic analyses, coupled with functional and animal studies, have led to better insights into possible pathogenic mechanisms underlying ET. These genetic studies may guide the future development of genetic testing and counselling, and specific, pathogenesis-targeted, therapeutic strategies.
Collapse
|
13
|
Belle NM, Ji Y, Herbine K, Wei Y, Park J, Zullo K, Hung LY, Srivatsa S, Young T, Oniskey T, Pastore C, Nieves W, Somsouk M, Herbert DR. TFF3 interacts with LINGO2 to regulate EGFR activation for protection against colitis and gastrointestinal helminths. Nat Commun 2019; 10:4408. [PMID: 31562318 PMCID: PMC6764942 DOI: 10.1038/s41467-019-12315-1] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 08/26/2019] [Indexed: 12/14/2022] Open
Abstract
Intestinal epithelial cells (IEC) have important functions in nutrient absorption, barrier integrity, regeneration, pathogen-sensing, and mucus secretion. Goblet cells are a specialized cell type of IEC that secrete Trefoil factor 3 (TFF3) to regulate mucus viscosity and wound healing, but whether TFF3-responsiveness requires a receptor is unclear. Here, we show that leucine rich repeat receptor and nogo-interacting protein 2 (LINGO2) is essential for TFF3-mediated functions. LINGO2 immunoprecipitates with TFF3, co-localizes with TFF3 on the cell membrane of IEC, and allows TFF3 to block apoptosis. We further show that TFF3-LINGO2 interactions disrupt EGFR-LINGO2 complexes resulting in enhanced EGFR signaling. Excessive basal EGFR activation in Lingo2 deficient mice increases disease severity during colitis and augments immunity against helminth infection. Conversely, TFF3 deficiency reduces helminth immunity. Thus, TFF3-LINGO2 interactions de-repress inhibitory LINGO2-EGFR complexes, allowing TFF3 to drive wound healing and immunity.
Collapse
Affiliation(s)
- Nicole Maloney Belle
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA
| | - Yingbiao Ji
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA
| | - Karl Herbine
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA
| | - Yun Wei
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, 94110, USA.,Department of Inflammation and Oncology, Amgen Inc., 1120 Veterans Boulevard, South San Francisco, CA, 94080, USA
| | - JoonHyung Park
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA
| | - Kelly Zullo
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA
| | - Li-Yin Hung
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA.,Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, 94110, USA
| | - Sriram Srivatsa
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA
| | - Tanner Young
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA
| | - Taylor Oniskey
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, 94110, USA
| | - Christopher Pastore
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA
| | - Wildaliz Nieves
- Division of Gastroenterology at ZSFG, University of California, San Francisco, San Francisco, CA, 94110, USA
| | - Ma Somsouk
- Division of Gastroenterology at ZSFG, University of California, San Francisco, San Francisco, CA, 94110, USA
| | - De'Broski R Herbert
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, 19140, USA. .,Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, 94110, USA.
| |
Collapse
|
14
|
Mori K, Tamada K, Kurooka H, Matsui M, Takumi T, Yokota Y. Gene expression profile data of the developing small intestine of Id2-deficient mice. Data Brief 2019; 24:103717. [PMID: 30984807 PMCID: PMC6444121 DOI: 10.1016/j.dib.2019.103717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 01/23/2019] [Accepted: 01/23/2019] [Indexed: 11/25/2022] Open
Abstract
This article contains data related to the research article entitled “Id2 determines intestinal identity through repression of the foregut transcription factor, Irx5” [1]. Id2 deficient (Id2−/−) mice developed gastric tumors and heterotopic squamous epithelium in the small intestine. These tumors and heterotopic tissues were derived from ectopic gastric cells and squamous cells formed in the small intestine respectively during development. In this study, microarray data of the developing small intestine of Id2−/− mice was analyzed.
Collapse
Affiliation(s)
- Kentaro Mori
- Department of Neurology, Kanazawa Medical University, 1-1 Uchinada, Ishikawa 920-0293, Japan.,Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Japan
| | - Kota Tamada
- RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Hisanori Kurooka
- Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Japan.,Faculty of Nutritional Science, Department of Nutritional Management, Sagami Women's University, Sagamihara, Kanagawa, 252-0383, Japan
| | - Makoto Matsui
- Department of Neurology, Kanazawa Medical University, 1-1 Uchinada, Ishikawa 920-0293, Japan
| | - Toru Takumi
- RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Yoshifumi Yokota
- Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Japan
| |
Collapse
|
15
|
Jo JH, Park SB, Park S, Lee HS, Kim C, Jung DE, Song SY. Novel Gastric Cancer Stem Cell-Related Marker LINGO2 Is Associated with Cancer Cell Phenotype and Patient Outcome. Int J Mol Sci 2019; 20:ijms20030555. [PMID: 30696080 PMCID: PMC6387145 DOI: 10.3390/ijms20030555] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 01/21/2019] [Accepted: 01/22/2019] [Indexed: 02/07/2023] Open
Abstract
The expression of leucine-rich repeat and immunoglobulin-like domain-containing nogo receptor-interacting protein 2 (LINGO2) has been reported in Parkinson’s disease; however, its role in other diseases is unknown. Gastric cancer is the second leading cause of cancer death. Cancer stem cells (CSC) are a subpopulation of cancer cells that contribute to the initiation and invasion of cancer. We identified LINGO2 as a CSC-associated protein in gastric cancers both in vitro and in patient-derived tissues. We studied the effect of LINGO2 on cell motility, stemness, tumorigenicity, and angiogenic capacity using cells sorted based on LINGO2 expression and LINGO2-silenced cells. Tissue microarray analysis showed that LINGO2 expression was significantly elevated in advanced gastric cancers. The overall survival of patients expressing high LINGO2 was significantly shorter than that of patients with low LINGO2. Cells expressing high LINGO2 showed elevated cell motility, angiogenic capacity, and tumorigenicity, while LINGO2 silencing reversed these properties. Silencing LINGO2 reduced kinase B (AKT)/extracellular signal-regulated kinase (ERK)/ERK kinase (MEK) phosphorylation and decreased epithelial-mesenchymal transition (EMT)-associated markers—N-Cadherin and Vimentin and stemness-associated markers— POU class 5 homeobox 1 (OCT4) and Indian hedgehog (IHH), and markedly decreased the CD44+ population. These indicate the involvement of LINGO2 in gastric cancer initiation and progression by altering cell motility, stemness, and tumorigenicity, suggesting LINGO2 as a putative target for gastric cancer treatment.
Collapse
Affiliation(s)
- Jung Hyun Jo
- Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Soo Been Park
- Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Semi Park
- Department of Internal Medicine, Graduate School, Yonsei University College of Medicine, Seoul 03722, Korea.
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
| | - Hee Seung Lee
- Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Chanyang Kim
- Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Dawoon E Jung
- Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Si Young Song
- Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
- Institute of Gastroenterology, Yonsei University College of Medicine, Seoul 03722, Korea.
| |
Collapse
|
16
|
Li Y, Liu H, Yu Q, Liu H, Huang T, Zhao S, Ma J, Zhao H. Growth Hormone Promotes in vitro Maturation of Human Oocytes. Front Endocrinol (Lausanne) 2019; 10:485. [PMID: 31396155 PMCID: PMC6667636 DOI: 10.3389/fendo.2019.00485] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/04/2019] [Indexed: 01/18/2023] Open
Abstract
Increasing the success rate of in vitro maturation (IVM) for human oocytes has a major clinical significance. Previous studies have shown that growth hormone (GH) added into IVM medium could promote IVM of oocytes from non-human beings. However, few studies on systematic IVM for human oocytes with GH have been reported. Human germinal vesicle (GV) oocytes collected for IVM were cultured with different concentrations of GH to optimize the concentration. Metaphase II (MII) stage oocytes obtained from IVM were fertilized by intracytoplasmic sperm injection (ICSI). Maturation rate, fertilization rate, and blastocyst rate were assessed after IVM with or without GH. Furthermore, gene expression profiles were compared in oocytes between the two groups using single-cell RNA-seq. The optimal concentration of GH for IVM was 200 ng/ml, and the maturation rate of this group reached 70% which was double that of the control group (35%, P = 0.004). The fertilization rate (73.1 vs. 60.3%) and blastocyst rate (25.0 vs. 15.5%) both had an increasing trend in the GH group compared to controls. Single-cell RNA-Seq and real-time PCR data showed that GH could significantly enhance the expression of genes associated with meiotic progression and embryo development, such as AURKA (aurora kinase A, P = 0.007), PDIA6 (protein disulfide isomerase family A member 6, P = 0.007), LINGO2 (leucine rich repeat and Ig domain containing 2, P = 0.007), and CENPJ (centromere protein J, P = 0.039). Taken together, GH could promote maturation of human oocytes, probably through accelerating meiotic progression, balancing redox homeostasis of cellular environment, and promoting oocyte developmental competence.
Collapse
Affiliation(s)
- Yue Li
- Center for Reproductive Medicine, Shandong University, Jinan, China
- The Key Laboratory of Reproductive Endocrinology of Ministry of Education, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
| | - Hui Liu
- Center for Reproductive Medicine, Shandong University, Jinan, China
- The Key Laboratory of Reproductive Endocrinology of Ministry of Education, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
| | - Qingqing Yu
- Center for Reproductive Medicine, Shandong University, Jinan, China
- The Key Laboratory of Reproductive Endocrinology of Ministry of Education, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
| | - Hongbin Liu
- Center for Reproductive Medicine, Shandong University, Jinan, China
- The Key Laboratory of Reproductive Endocrinology of Ministry of Education, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
| | - Tao Huang
- Center for Reproductive Medicine, Shandong University, Jinan, China
- The Key Laboratory of Reproductive Endocrinology of Ministry of Education, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
| | - Shigang Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, China
- The Key Laboratory of Reproductive Endocrinology of Ministry of Education, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- *Correspondence: Shigang Zhao
| | - Jinlong Ma
- Center for Reproductive Medicine, Shandong University, Jinan, China
- The Key Laboratory of Reproductive Endocrinology of Ministry of Education, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
| | - Han Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, China
- The Key Laboratory of Reproductive Endocrinology of Ministry of Education, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
| |
Collapse
|
17
|
Su T, Ren Q, Lu Y, Tai W, Zhu Y, Li Z, Wen J, Hu L, Zhang L, Ma J. A genetic variant in LINGO2 contributes to the risk of gestational diabetes mellitus in a Chinese population. J Cell Physiol 2018; 234:7012-7018. [PMID: 30426492 DOI: 10.1002/jcp.27454] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 08/29/2018] [Indexed: 11/06/2022]
Abstract
Genome-wide association studies (GWASs) showed that three single nucleotide polymorphisms (SNPs; rs10968576, rs1412239, and rs824248) in the leucine-rich repeat and Ig domain containing 2 (LINGO2) were associated with obesity or type 2 diabetes (T2D). We aimed to determine the influence of the LINGO2 variants on the gestational diabetes mellitus (GDM) risk. Thus, we performed a case-control study including 964 GDM cases and 1,021 controls to test the associations between the three LINGO2 variants (rs10968576, rs1412239, and rs824248) and susceptibility to GDM. Logistic regression analyses showed no significant association between LINGO2 variations (rs10968576 and rs1412239) and GDM susceptibility, but we observed that LINGO2 rs824248 A > T was significantly associated with an increased risk of GDM using the dominant model (TT/AT vs. AA: adjusted odds ratio [OR] = 1.26, 95% confidence interval [CI] = 1.05-1.51; p = 0.012) and the additive model (TT vs. AT vs. AA: adjusted OR = 1.16, 95% CI = 1.03-1.31; p = 0.016). In the additive model, a stronger risk effect of rs824248 was observed among obese women (prepregnancy body mass index [BMI] > 22 kg/m2 , adjusted OR = 1.34, 95% CI = 1.12-1.59) compared with that in lean women (prepregnancy BMI ≤ 22 kg/m2 , adjusted OR = 1.02 , 95% CI = 0.86-1.21; p = 0.029 for heterogeneity test). Further interactive analyses also detected a significant multiplicative interaction between rs824248 and prepregnancy BMI for the risk of GDM (p = 0.041). These findings indicate that LINGO2 rs824248 may serve as a susceptibility marker for GDM in Chinese females.
Collapse
Affiliation(s)
- Tong Su
- Department of Clinical Laboratory, People's Hospital of Rizhao, Rizhao, China
| | - Qingxia Ren
- Department of Clinical Laboratory, People's Hospital of Rizhao, Rizhao, China
| | - Yingying Lu
- Department of Clinical Laboratory, People's Hospital of Rizhao, Rizhao, China
| | - Wen Tai
- Nanjing Maternity and Child Health Care Institute, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China
| | - Yuan Zhu
- Nanjing Maternity and Child Health Care Institute, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China
| | - Zhengying Li
- Department of Neonatology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China
| | - Juan Wen
- Nanjing Maternity and Child Health Care Institute, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China
| | - Lingmin Hu
- Department of Reproduction, The Affiliated Changzhou Maternity and Child Health Care Hospital of Nanjing Medical University, Changzhou, China
| | - Le Zhang
- Department of Neonatology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China
| | - Jiehua Ma
- Nanjing Maternity and Child Health Care Institute, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China
| |
Collapse
|
18
|
Foale S, Berry M, Logan A, Fulton D, Ahmed Z. LINGO-1 and AMIGO3, potential therapeutic targets for neurological and dysmyelinating disorders? Neural Regen Res 2017; 12:1247-1251. [PMID: 28966634 PMCID: PMC5607814 DOI: 10.4103/1673-5374.213538] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Leucine rich repeat proteins have gained considerable interest as therapeutic targets due to their expression and biological activity within the central nervous system. LINGO-1 has received particular attention since it inhibits axonal regeneration after spinal cord injury in a RhoA dependent manner while inhibiting leucine rich repeat and immunoglobulin-like domain-containing protein 1 (LINGO-1) disinhibits neuron outgrowth. Furthermore, LINGO-1 suppresses oligodendrocyte precursor cell maturation and myelin production. Inhibiting the action of LINGO-1 encourages remyelination both in vitro and in vivo. Accordingly, LINGO-1 antagonists show promise as therapies for demyelinating diseases. An analogous protein to LINGO-1, amphoterin-induced gene and open reading frame-3 (AMIGO3), exerts the same inhibitory effect on the axonal outgrowth of central nervous system neurons, as well as interacting with the same receptors as LINGO-1. However, AMIGO3 is upregulated more rapidly after spinal cord injury than LINGO-1. We speculate that AMIGO3 has a similar inhibitory effect on oligodendrocyte precursor cell maturation and myelin production as with axogenesis. Therefore, inhibiting AMIGO3 will likely encourage central nervous system axonal regeneration as well as the production of myelin from local oligodendrocyte precursor cell, thus providing a promising therapeutic target and an area for future investigation.
Collapse
Affiliation(s)
- Simon Foale
- Neuroscience and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Martin Berry
- Neuroscience and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Ann Logan
- Neuroscience and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Daniel Fulton
- Neuroscience and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Zubair Ahmed
- Neuroscience and Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| |
Collapse
|
19
|
Olender T, Keydar I, Pinto JM, Tatarskyy P, Alkelai A, Chien MS, Fishilevich S, Restrepo D, Matsunami H, Gilad Y, Lancet D. The human olfactory transcriptome. BMC Genomics 2016; 17:619. [PMID: 27515280 PMCID: PMC4982115 DOI: 10.1186/s12864-016-2960-3] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 07/21/2016] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Olfaction is a versatile sensory mechanism for detecting thousands of volatile odorants. Although molecular basis of odorant signaling is relatively well understood considerable gaps remain in the complete charting of all relevant gene products. To address this challenge, we applied RNAseq to four well-characterized human olfactory epithelial samples and compared the results to novel and published mouse olfactory epithelium as well as 16 human control tissues. RESULTS We identified 194 non-olfactory receptor (OR) genes that are overexpressed in human olfactory tissues vs. CONTROLS The highest overexpression is seen for lipocalins and bactericidal/permeability-increasing (BPI)-fold proteins, which in other species include secreted odorant carriers. Mouse-human discordance in orthologous lipocalin expression suggests different mammalian evolutionary paths in this family. Of the overexpressed genes 36 have documented olfactory function while for 158 there is little or no previous such functional evidence. The latter group includes GPCRs, neuropeptides, solute carriers, transcription factors and biotransformation enzymes. Many of them may be indirectly implicated in sensory function, and ~70 % are over expressed also in mouse olfactory epithelium, corroborating their olfactory role. Nearly 90 % of the intact OR repertoire, and ~60 % of the OR pseudogenes are expressed in the olfactory epithelium, with the latter showing a 3-fold lower expression. ORs transcription levels show a 1000-fold inter-paralog variation, as well as significant inter-individual differences. We assembled 160 transcripts representing 100 intact OR genes. These include 1-4 short 5' non-coding exons with considerable alternative splicing and long last exons that contain the coding region and 3' untranslated region of highly variable length. Notably, we identified 10 ORs with an intact open reading frame but with seemingly non-functional transcripts, suggesting a yet unreported OR pseudogenization mechanism. Analysis of the OR upstream regions indicated an enrichment of the homeobox family transcription factor binding sites and a consensus localization of a specific transcription factor binding site subfamily (Olf/EBF). CONCLUSIONS We provide an overview of expression levels of ORs and auxiliary genes in human olfactory epithelium. This forms a transcriptomic view of the entire OR repertoire, and reveals a large number of over-expressed uncharacterized human non-receptor genes, providing a platform for future discovery.
Collapse
Affiliation(s)
- Tsviya Olender
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
| | - Ifat Keydar
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Jayant M Pinto
- Section of Otolaryngology-Head and Neck Surgery, University of Chicago, Chicago, IL, USA
| | - Pavlo Tatarskyy
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Anna Alkelai
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Ming-Shan Chien
- Department of Molecular Genetics and Microbiology, Department of Neurobiology, Duke Institute for Brain Sciences, Duke University Medical Center, Durham, NC, USA
| | - Simon Fishilevich
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Diego Restrepo
- Department of Cell and Developmental Biology, Neuroscience Program, and Rocky Mountain Taste and Smell Center, University of Colorado School of Medicine, Aurora, CO, USA
| | - Hiroaki Matsunami
- Department of Molecular Genetics and Microbiology, Department of Neurobiology, Duke Institute for Brain Sciences, Duke University Medical Center, Durham, NC, USA
| | - Yoav Gilad
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Doron Lancet
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
20
|
Rask-Andersen M, Almén MS, Lind L, Schiöth HB. Association of the LINGO2-related SNP rs10968576 with body mass in a cohort of elderly Swedes. Mol Genet Genomics 2015; 290:1485-91. [DOI: 10.1007/s00438-015-1009-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 02/10/2015] [Indexed: 01/27/2023]
|
21
|
Schulten HJ, Alotibi R, Al-Ahmadi A, Ata M, Karim S, Huwait E, Gari M, Al-Ghamdi K, Al-Mashat F, Al-Hamour O, Al-Qahtani MH, Al-Maghrabi J. Effect of BRAF mutational status on expression profiles in conventional papillary thyroid carcinomas. BMC Genomics 2015; 16 Suppl 1:S6. [PMID: 25922907 PMCID: PMC4315163 DOI: 10.1186/1471-2164-16-s1-s6] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Whereas 40 % to 70 % of papillary thyroid carcinomas (PTCs) are characterized by a BRAF mutation (BRAFmut), unified biomarkers for the genetically heterogeneous group of BRAF wild type (BRAFwt) PTCs are not established yet. Using state-of-the-art technology we compared RNA expression profiles between conventional BRAFwt and BRAFmut PTCs. METHODS Microarrays covering 36,079 reference sequences were used to generate whole transcript expression profiles in 11 BRAFwt PTCs including five micro PTCs, 14 BRAFmut PTCs, and 7 normal thyroid specimens. A p-value with a false discovery rate (FDR) < 0.05 and a fold change > 2 were used as a threshold of significance for differential expression. Network and pathway utilities were employed to interpret significance of expression data. BRAF mutational status was established by direct sequencing the hotspot region of exon 15. RESULTS We identified 237 annotated genes that were significantly differentially expressed between BRAFwt and BRAFmut PTCs. Of these, 110 genes were down- and 127 were upregulated in BRAFwt compared to BRAFmut PTCs. A number of molecules involved in thyroid hormone metabolism including thyroid peroxidase (TPO) were differentially expressed between both groups. Among cancer-associated molecules were ERBB3 that was downregulated and ERBB4 that was upregulated in BRAFwt PTCs. Two microRNAs were significantly differentially expressed of which miR492 bears predicted functions relevant to thyroid-specific molecules. The protein kinase A (PKA) and the G protein-coupled receptor pathways were identified as significantly related signaling cascades to the gene set of 237 genes. Furthermore, a network of interacting molecules was predicted on basis of the differentially expressed gene set. CONCLUSIONS The expression study focusing on affected genes that are differentially expressed between BRAFwt and BRAFmut conventional PTCs identified a number of molecules which are connected in a network and affect important canonical pathways. The identified gene set adds to our understanding of the tumor biology of BRAFwt and BRAFmut PTCs and contains genes/biomarkers of interest.
Collapse
|
22
|
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.
Collapse
|
23
|
Yin W, Hu B. Knockdown of Lingo1b protein promotes myelination and oligodendrocyte differentiation in zebrafish. Exp Neurol 2013; 251:72-83. [PMID: 24262204 DOI: 10.1016/j.expneurol.2013.11.012] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2013] [Revised: 10/29/2013] [Accepted: 11/08/2013] [Indexed: 12/23/2022]
Abstract
Demyelinating diseases include multiple sclerosis, which is a neurodegenerative disease characterized by immune attacks on the central nervous system (CNS), resulting in myelin sheath damage and axonal loss. Leucine-rich repeat and immunoglobulin domain-containing neurite outgrowth inhibitory protein (Nogo) receptor-interacting protein-1 (LINGO-1) have been identified as a negative regulator of oligodendrocytes differentiation. Targeted LINGO-1 inhibition promotes neuron survival, axon regeneration, oligodendrocyte differentiation, and remyelination in diverse animal models. Although studies in rodent models have extended our understanding of LINGO-1, its roles in neural development and myelination in zebrafish (Danio rerio) are not yet clear. In this study, we cloned the zebrafish homolog of the human LINGO-1 and found that lingo1b regulated myelination and oligodendrocyte differentiation. The expression of lingo1b started 1 (mRNA) and 2 (protein) days post-fertilization (dpf) in the CNS. Morpholino oligonucleotide knockdown of lingo1b resulted in developmental abnormalities, including less dark pigment, small eyes, and a curly spinal cord. The lack of lingo1b enhanced myelination and oligodendrocyte differentiation during embryogenesis. Furthermore, immunohistochemistry and movement analysis showed that lingo1b was involved in the axon development of primary motor neurons. These results suggested that Lingo1b protein functions as a negative regulator of myelination and oligodendrocyte differentiation during zebrafish development.
Collapse
Affiliation(s)
- Wu Yin
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China
| | - Bing Hu
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
| |
Collapse
|
24
|
Speakman JR. Functional analysis of seven genes linked to body mass index and adiposity by genome-wide association studies: a review. Hum Hered 2013; 75:57-79. [PMID: 24081222 DOI: 10.1159/000353585] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified a total of about 40 single nucleotide polymorphisms (SNPs) that show significant linkage to body mass index, a widely utilised surrogate measure of adiposity. However, only 8 of these associations have been confirmed by follow-up GWAS using more sophisticated measures of adiposity (computed tomography). Among these 8, there is a SNP close to the gene FTO which has been the subject of considerable work to diagnose its function. The remaining 7 SNPs are adjacent to, or within, the genes NEGR1, TMEM18, ETV5, FLJ35779, LINGO2, SH2B1 and GIPR, most of which are less well studied than FTO, particularly in the context of obesity. This article reviews the available data on the functions of these genes, including information gleaned from studies in humans and animal models. At present, we have virtually no information on the putative mechanism associating the genes FLJ35779 and LINGO2 to obesity. All of these genes are expressed in the brain, and for 2 of them (SH2B1 and GIPR), a direct link to the appetite regulation system is known. SH2B1 is an enhancer of intracellular signalling in the JAK-STAT pathway, and GIPR is the receptor for an appetite-linked hormone (GIP) produced by the alimentary tract. NEGR1, ETV5 and SH2B1 all have suggested roles in neurite outgrowth, and hence SNPs adjacent to these genes may affect development of the energy balance circuitry. Although the genes have central patterns of gene expression, implying a central neuronal connection to energy balance, for at least 4 of them (NEGR1, TMEM18, SH2B1 and GIPR), there are also significant peripheral functions related to adipose tissue biology. These functions may contribute to their effects on the obese phenotype.
Collapse
Affiliation(s)
- John R Speakman
- Key State Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, PR China; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| |
Collapse
|
25
|
Garaffo G, Provero P, Molineris I, Pinciroli P, Peano C, Battaglia C, Tomaiuolo D, Etzion T, Gothilf Y, Santoro M, Merlo GR. Profiling, Bioinformatic, and Functional Data on the Developing Olfactory/GnRH System Reveal Cellular and Molecular Pathways Essential for This Process and Potentially Relevant for the Kallmann Syndrome. Front Endocrinol (Lausanne) 2013; 4:203. [PMID: 24427155 PMCID: PMC3876029 DOI: 10.3389/fendo.2013.00203] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2013] [Accepted: 12/18/2013] [Indexed: 11/28/2022] Open
Abstract
During embryonic development, immature neurons in the olfactory epithelium (OE) extend axons through the nasal mesenchyme, to contact projection neurons in the olfactory bulb. Axon navigation is accompanied by migration of the GnRH+ neurons, which enter the anterior forebrain and home in the septo-hypothalamic area. This process can be interrupted at various points and lead to the onset of the Kallmann syndrome (KS), a disorder characterized by anosmia and central hypogonadotropic hypogonadism. Several genes has been identified in human and mice that cause KS or a KS-like phenotype. In mice a set of transcription factors appears to be required for olfactory connectivity and GnRH neuron migration; thus we explored the transcriptional network underlying this developmental process by profiling the OE and the adjacent mesenchyme at three embryonic ages. We also profiled the OE from embryos null for Dlx5, a homeogene that causes a KS-like phenotype when deleted. We identified 20 interesting genes belonging to the following categories: (1) transmembrane adhesion/receptor, (2) axon-glia interaction, (3) scaffold/adapter for signaling, (4) synaptic proteins. We tested some of them in zebrafish embryos: the depletion of five (of six) Dlx5 targets affected axonal extension and targeting, while three (of three) affected GnRH neuron position and neurite organization. Thus, we confirmed the importance of cell-cell and cell-matrix interactions and identified new molecules needed for olfactory connection and GnRH neuron migration. Using available and newly generated data, we predicted/prioritized putative KS-disease genes, by building conserved co-expression networks with all known disease genes in human and mouse. The results show the overall validity of approaches based on high-throughput data and predictive bioinformatics to identify genes potentially relevant for the molecular pathogenesis of KS. A number of candidate will be discussed, that should be tested in future mutation screens.
Collapse
Affiliation(s)
- Giulia Garaffo
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
| | - Paolo Provero
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
| | - Ivan Molineris
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
| | - Patrizia Pinciroli
- Department of Medical Biotechnology Translational Medicine (BIOMETRA), University of Milano, Milano, Italy
| | - Clelia Peano
- Institute of Biomedical Technology, National Research Council, ITB-CNR, Segrate, Italy
| | - Cristina Battaglia
- Department of Medical Biotechnology Translational Medicine (BIOMETRA), University of Milano, Milano, Italy
- Institute of Biomedical Technology, National Research Council, ITB-CNR, Segrate, Italy
| | - Daniela Tomaiuolo
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
| | - Talya Etzion
- The George S. Wise Faculty of Life Sciences, Department of Neurobiology, Tel-Aviv University, Tel-Aviv, Israel
| | - Yoav Gothilf
- The George S. Wise Faculty of Life Sciences, Department of Neurobiology, Tel-Aviv University, Tel-Aviv, Israel
| | - Massimo Santoro
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
| | - Giorgio R. Merlo
- Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
- *Correspondence: Giorgio R. Merlo, Department of Molecular Biotechnology and Health Science, University of Torino, Via Nizza 52, Torino 10126, Italy e-mail:
| |
Collapse
|
26
|
McGuire TF, Sajithlal GB, Lu J, Nicholls RD, Prochownik EV. In vivo evolution of tumor-derived endothelial cells. PLoS One 2012; 7:e37138. [PMID: 22623986 PMCID: PMC3356387 DOI: 10.1371/journal.pone.0037138] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2012] [Accepted: 04/16/2012] [Indexed: 12/21/2022] Open
Abstract
The growth of a malignant tumor beyond a certain, limited size requires that it first develop an independent blood supply. In addition to providing metabolic support, this neovasculature also allows tumor cells to access the systemic circulation, thus facilitating metastatic dissemination. The neovasculature may originate either from normal blood vessels in close physical proximity to the tumor and/or from the recruitment of bone marrow-derived endothelial cell (EC) precursors. Recent studies have shown that human tumor vasculature ECs may also arise directly from tumor cells themselves and that the two populations have highly similar or identical karyotypes. We now show that, during the course of serial in vivo passage, these tumor-derived ECs (TDECs) progressively acquire more pronounced EC-like properties. These include higher-level expression of EC-specific genes and proteins, a greater capacity for EC-like behavior in vitro, and a markedly enhanced propensity to incorporate into the tumor vasculature. In addition, both vessel density and size are significantly increased in neoplasms derived from mixtures of tumor cells and serially passaged TDECs. A comparison of early- and late-passage TDECs using whole-genome single nucleotide polymorphism profiling showed the latter cells to have apparently evolved by a process of clonal expansion of a population with a distinct pattern of interstitial chromosomal gains and losses affecting a relatively small number of genes. The majority of these have established roles in vascular development, tumor suppression or epithelial-mesenchymal transition. These studies provide direct evidence that TDECs have a strong evolutionary capacity as a result of their inherent genomic instability. Consequently such cells might be capable of escaping anti-angiogenic cancer therapies by generating resistant populations.
Collapse
Affiliation(s)
- Terence F. McGuire
- Division of Hematology/Oncology, Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Gangadharan B. Sajithlal
- Division of Hematology/Oncology, Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Jie Lu
- Division of Hematology/Oncology, Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
| | - Robert D. Nicholls
- Birth Defect Laboratories, Division of Genetics, Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- The University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, United States of America
| | - Edward V. Prochownik
- Division of Hematology/Oncology, Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, United States of America
- Department of Microbiology and Molecular Genetics, The University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
- The University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, United States of America
- * E-mail:
| |
Collapse
|
27
|
Zhou ZD, Sathiyamoorthy S, Tan EK. LINGO-1 and Neurodegeneration: Pathophysiologic Clues for Essential Tremor. TREMOR AND OTHER HYPERKINETIC MOVEMENTS (NEW YORK, N.Y.) 2012; 2. [PMID: 23439882 PMCID: PMC3569903 DOI: 10.7916/d8pz57jv] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2011] [Accepted: 09/09/2011] [Indexed: 01/01/2023]
Abstract
Essential tremor (ET), one of the most common adult-onset movement disorders, has been associated with cerebellar Purkinje cell degeneration and formation of brainstem Lewy bodies. Recent findings suggest that genetic variants of the leucine-rich repeat and Ig domain containing 1 (LINGO-1) gene could be risk factors for ET. The LINGO-1 protein contains both leucine-rich repeat (LRR) and immunoglobulin (Ig)-like domains in its extracellular region, as well as a transmembrane domain and a short cytoplasmic tail. LINGO-1 can form a ternary complex with Nogo-66 receptor (NgR1) and p75. Binding of LINGO-1 with NgR1 can activate the NgR1 signaling pathway, leading to inhibition of oligodendrocyte differentiation and myelination in the central nervous system. LINGO-1 has also been found to bind with epidermal growth factor receptor (EGFR) and induce downregulation of the activity of EGFR-PI3K-Akt signaling, which might decrease Purkinje cell survival. Therefore, it is possible that genetic variants of LINGO-1, either alone or in combination with other genetic or environmental factors, act to increase LINGO-1 expression levels in Purkinje cells and confer a risk to Purkinje cell survival in the cerebellum.Here, we provide a concise summary of the link between LINGO-1 and neurodegeneration and discuss various hypotheses as to how this could be potentially relevant to ET pathogenesis.
Collapse
|
28
|
Liang H, Zheng W, Xu H, Lei J, Song Z, Jiang X, Zeng Z, Deng H. No evidence of association between the LINGO4 gene and essential tremor in Chinese Han patients. Parkinsonism Relat Disord 2011; 18:303-5. [PMID: 22104011 DOI: 10.1016/j.parkreldis.2011.10.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2011] [Revised: 10/01/2011] [Accepted: 10/28/2011] [Indexed: 12/17/2022]
Abstract
Essential tremor (ET) is shown an autosomal dominant mode of inheritance, with no disease-causing gene has been found. Genetic variations in the leucine-rich repeat and lg domain containing nogo receptor-interacting protein genes (LINGO1 and LINGO2) were reported to be associated with an increased risk of developing ET. To explore whether the LINGO4 gene (a homologous gene of the LINGO1 and the LINGO2 genes) plays a role in ET susceptibility, we performed genetic analysis of coding region of the LINGO4 gene in 100 patients with ET from Mainland China. Two nucleotide variants had been identified: (1) T > A transition (rs61746299), predicted to lead to the amino acid change Thr444Ser, and (2) C > T transition (rs1521179), located 12 bp downstream to the end of coding region. To evaluate whether these variants are related to ET susceptibility, we investigated a total of 150 Chinese Han ET patients (77 familial ET and 73 sporadic ET) and 300 sex, age and ethnicity matched normal controls. No significant differences in genotypic and allele distributions between patients and control subjects for rs61746299 and rs1521179 (p = 0.531 and p = 0.867 for genotypic distributions; p = 1.000 and p = 0.844 for allele distributions) were observed, suggesting variants in coding region of the LINGO4 gene may play litter or no role in the risk of ET susceptibility.
Collapse
Affiliation(s)
- Hui Liang
- Center for Experimental Medicine, The Third Xiangya Hospital, Central South University, Changsha, China
| | | | | | | | | | | | | | | |
Collapse
|
29
|
Guo Y, Jankovic J, Song Z, Yang H, Zheng W, Le W, Tang X, Deng X, Yang Y, Deng S, Luo Z, Deng H. LINGO1 rs9652490 variant in Parkinson disease patients. Neurosci Lett 2011; 487:174-6. [DOI: 10.1016/j.neulet.2010.10.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2010] [Revised: 09/25/2010] [Accepted: 10/07/2010] [Indexed: 11/26/2022]
|
30
|
LINGO1 and LINGO2 variants are associated with essential tremor and Parkinson disease. Neurogenetics 2010; 11:401-8. [PMID: 20369371 DOI: 10.1007/s10048-010-0241-x] [Citation(s) in RCA: 97] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2009] [Accepted: 03/01/2010] [Indexed: 01/09/2023]
Abstract
Genetic variation in the leucine-rich repeat and Ig domain containing 1 gene (LINGO1) was recently associated with an increased risk of developing essential tremor (ET) and Parkinson disease (PD). Herein, we performed a comprehensive study of LINGO1 and its paralog LINGO2 in ET and PD by sequencing both genes in patients (ET, n=95; PD, n=96) and by examining haplotype-tagging single-nucleotide polymorphisms (tSNPs) in a multicenter North American series of patients (ET, n=1,247; PD, n= 633) and controls (n=642). The sequencing study identified six novel coding variants in LINGO1 (p.S4C, p.V107M, p.A277T, p.R423R, p.G537A, p.D610D) and three in LINGO2 (p.D135D, p.P217P, p.V565V), however segregation analysis did not support pathogenicity. The association study employed 16 tSNPs at the LINGO1 locus and 21 at the LINGO2 locus. One variant in LINGO1 (rs9652490) displayed evidence of an association with ET (odds ratio (OR) =0.63; P=0.026) and PD (OR=0.54; P=0.016). Additionally, four other tSNPs in LINGO1 and one in LINGO2 were associated with ET and one tSNP in LINGO2 associated with PD (P<0.05). Further analysis identified one tSNP in LINGO1 and two in LINGO2 which influenced age at onset of ET and two tSNPs in LINGO1 which altered age at onset of PD (P<0.05). Our results support a role for LINGO1 and LINGO2 in determining risk for and perhaps age at onset of ET and PD. Further studies are warranted to confirm these findings and to determine the pathogenic mechanisms involved.
Collapse
|
31
|
Homma S, Shimada T, Hikake T, Yaginuma H. Expression pattern of LRR and Ig domain-containing protein (LRRIG protein) in the early mouse embryo. Gene Expr Patterns 2008; 9:1-26. [PMID: 18848646 DOI: 10.1016/j.gep.2008.09.004] [Citation(s) in RCA: 61] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2008] [Revised: 09/10/2008] [Accepted: 09/11/2008] [Indexed: 01/10/2023]
Abstract
The combination of leucine-rich repeat (LRR) and immunoglobulin-like (Ig) domains is found in the domain architecture of the Trk neurotrophin receptor protein. Recently dozens of such proteins simultaneously carrying LRR and Ig domains as the Trk receptors have been identified. Given the significant biological roles of Trk and such newly identified proteins, we have searched the public database for human proteins with LRR and Ig domains (collectively termed the leucine-rich repeat and Ig domain-containing protein, LRRIG protein, in this study), and have analyzed the mRNA expression pattern of mouse orthologs of obtained human LRRIG proteins at embryonic day 10. The list of the LRRIG proteins includes 36 human proteins: four LINGO, three NGL, five SALM, three NLRR, three Pal, two ISLR, three LRIG, two GPR, two Adlican, two Peroxidasin-like proteins, three Trk neurotrophin receptors, a yet unnamed protein AAI11068, and three AMIGO. Some molecules (LINGO2, LINGO4, NGL1, SALM1, SALM5, and TrkB) were expressed exclusively in neuronal tissues, whereas others (ISLR1, GPR124, and Adlican2) exhibited non-neuronal expression profiles. However, the majority of LRRIG protein family exhibited broad mRNA tissue-expression profiles.
Collapse
Affiliation(s)
- Shunsaku Homma
- Department of Anatomy, School of Medicine, Fukushima Medical University, Fukushimashi, Fukushima 960-1295, Japan.
| | | | | | | |
Collapse
|