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Lu ZA, Ploner A, Birgegård A, Bulik CM, Bergen SE. Shared Genetic Architecture Between Schizophrenia and Anorexia Nervosa: A Cross-trait Genome-Wide Analysis. Schizophr Bull 2024; 50:1255-1265. [PMID: 38848516 PMCID: PMC11349005 DOI: 10.1093/schbul/sbae087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia (SCZ) and anorexia nervosa (AN) are 2 severe and highly heterogeneous disorders showing substantial familial co-aggregation. Genetic factors play a significant role in both disorders, but the shared genetic etiology between them is yet to be investigated. STUDY DESIGN Using summary statistics from recent large genome-wide association studies on SCZ (Ncases = 53 386) and AN (Ncases = 16 992), a 2-sample Mendelian randomization analysis was conducted to explore the causal relationship between SCZ and AN. MiXeR was employed to quantify their polygenic overlap. A conditional/conjunctional false discovery rate (condFDR/conjFDR) framework was adopted to identify loci jointly associated with both disorders. Functional annotation and enrichment analyses were performed on the shared loci. STUDY RESULTS We observed a cross-trait genetic enrichment, a suggestive bidirectional causal relationship, and a considerable polygenic overlap (Dice coefficient = 62.2%) between SCZ and AN. The proportion of variants with concordant effect directions among all shared variants was 69.9%. Leveraging overlapping genetic associations, we identified 6 novel loci for AN and 33 novel loci for SCZ at condFDR <0.01. At conjFDR <0.05, we identified 10 loci jointly associated with both disorders, implicating multiple genes highly expressed in the cerebellum and pituitary and involved in synapse organization. Particularly, high expression of the shared genes was observed in the hippocampus in adolescence and orbitofrontal cortex during infancy. CONCLUSIONS This study provides novel insights into the relationship between SCZ and AN by revealing a shared genetic component and offers a window into their complex etiology.
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Affiliation(s)
- Zheng-An Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Alexander Ploner
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Andreas Birgegård
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Cynthia M Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Papadimitriou N, Kim A, Kawaguchi ES, Morrison J, Diez-Obrero V, Albanes D, Berndt SI, Bézieau S, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Campbell PT, Carreras-Torres R, Chan AT, Chang-Claude J, Conti DV, Devall MA, Dimou N, Drew DA, Gruber SB, Harrison TA, Hoffmeister M, Huyghe JR, Joshi AD, Keku TO, Kundaje A, Küry S, Le Marchand L, Lewinger JP, Li L, Lynch BM, Moreno V, Newton CC, Obón-Santacana M, Ose J, Pellatt AJ, Peoples AR, Platz EA, Qu C, Rennert G, Ruiz-Narvaez E, Shcherbina A, Stern MC, Su YR, Thomas DC, Thomas CE, Tian Y, Tsilidis KK, Ulrich CM, Um CY, Visvanathan K, Wang J, White E, Woods MO, Schmit SL, Macrae F, Potter JD, Hopper JL, Peters U, Murphy N, Hsu L, Gunter MJ, Gauderman WJ. Genome-wide interaction study of dietary intake of fibre, fruits, and vegetables with risk of colorectal cancer. EBioMedicine 2024; 104:105146. [PMID: 38749303 PMCID: PMC11112268 DOI: 10.1016/j.ebiom.2024.105146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 04/15/2024] [Accepted: 04/19/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Consumption of fibre, fruits and vegetables have been linked with lower colorectal cancer (CRC) risk. A genome-wide gene-environment (G × E) analysis was performed to test whether genetic variants modify these associations. METHODS A pooled sample of 45 studies including up to 69,734 participants (cases: 29,896; controls: 39,838) of European ancestry were included. To identify G × E interactions, we used the traditional 1--degree-of-freedom (DF) G × E test and to improve power a 2-step procedure and a 3DF joint test that investigates the association between a genetic variant and dietary exposure, CRC risk and G × E interaction simultaneously. FINDINGS The 3-DF joint test revealed two significant loci with p-value <5 × 10-8. Rs4730274 close to the SLC26A3 gene showed an association with fibre (p-value: 2.4 × 10-3) and G × fibre interaction with CRC (OR per quartile of fibre increase = 0.87, 0.80, and 0.75 for CC, TC, and TT genotype, respectively; G × E p-value: 1.8 × 10-7). Rs1620977 in the NEGR1 gene showed an association with fruit intake (p-value: 1.0 × 10-8) and G × fruit interaction with CRC (OR per quartile of fruit increase = 0.75, 0.65, and 0.56 for AA, AG, and GG genotype, respectively; G × E -p-value: 0.029). INTERPRETATION We identified 2 loci associated with fibre and fruit intake that also modify the association of these dietary factors with CRC risk. Potential mechanisms include chronic inflammatory intestinal disorders, and gut function. However, further studies are needed for mechanistic validation and replication of findings. FUNDING National Institutes of Health, National Cancer Institute. Full funding details for the individual consortia are provided in acknowledgments.
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Affiliation(s)
- Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Andre Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eric S Kawaguchi
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Virginia Diez-Obrero
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Barcelona, 08908, Spain; Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - 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 Tumour Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Australia; University of Melbourne Centre for Cancer Research, The University of Melbourne, Parkville, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), 17190 Salt, Girona, Spain
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Matthew A Devall
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA; Department of Public Health Sciences, Center for Public Health Genomics, Charlottesville, VA, USA
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - David A Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research and Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Amit D Joshi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA; Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Sébastien Küry
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | | | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Brigid M Lynch
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Victor Moreno
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Barcelona, 08908, Spain; Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Mireia Obón-Santacana
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Barcelona, 08908, Spain
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Andrew J Pellatt
- Department of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel; Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Clalit National Cancer Control Center, Haifa, Israel
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Mariana C Stern
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claire E Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; School of Public Health, Capital Medical University, Beijing, China
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jun Wang
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA; Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Finlay Macrae
- The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia; Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA.
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA, USA.
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France; Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK.
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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Gu LH, Wu RR, Zheng XL, Fu A, Xing ZY, Chen YY, He ZC, Lu LZ, Qi YT, Chen AH, Zhang YP, Xu TS, Peng MS, Ma C. Genomic insights into local adaptation and phenotypic diversity of Wenchang chickens. Poult Sci 2024; 103:103376. [PMID: 38228059 PMCID: PMC10823079 DOI: 10.1016/j.psj.2023.103376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/02/2023] [Accepted: 12/08/2023] [Indexed: 01/18/2024] Open
Abstract
Wenchang chicken, a prized local breed in Hainan Province of China renowned for its exceptional adaptability to tropical environments and good meat quality, is deeply favored by the public. However, an insufficient understanding of its population architecture and the unclear genetic basis that governs its typical attributes have posed challenges in the protection and breeding of this precious breed. To address these gaps, we conducted whole-genome resequencing on 200 Wenchang chicken samples derived from 10 distinct strains, and we gathered data on an array of 21 phenotype traits. Population genomics analysis unveiled distinctive population structures in Wenchang chickens, primarily attributed to strong artificial selection for different feather colors. Selection sweep analysis identified a group of candidate genes, including PCDH9, DPF3, CDIN1, and SUGCT, closely linked to adaptations that enhance resilience in tropical island habitats. Genome-wide association studies (GWAS) highlighted potential candidate genes associated with diverse feather color traits, encompassing TYR, RAB38, TRPM1, GABARAPL2, CDH1, ZMIZ1, LYST, MC1R, and SASH1. Through the comprehensive analysis of high-quality genomic and phenotypic data across diverse Wenchang chicken resource groups, this study unveils the intricate genetic backgrounds and population structures of Wenchang chickens. Additionally, it identifies multiple candidate genes linked to environmental adaptation, feather color variations, and production traits. These insights not only provide genetic reference for the purification and breeding of Wenchang chickens but also broaden our understanding of the genetic basis of phenotypic diversity in chickens.
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Affiliation(s)
- Li-Hong Gu
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - Ran-Ran Wu
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin-Li Zheng
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - An Fu
- Wenchang City Wenchang Chicken Research Institute, Wenchang 571300, China
| | - Zeng-Yang Xing
- Wenchang Long-quan Wenchang Chicken Industrial Co., Ltd., Wenchang 571346, China
| | - Yi-Yong Chen
- Hainan Chuang Wen Wenchang Chicken Industry Co., Ltd., Wenchang 571321, China
| | - Zhong-Chun He
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - Li-Zhi Lu
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Yan-Tao Qi
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - An-Hong Chen
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571199, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming 650091, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tie-Shan Xu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
| | - Min-Sheng Peng
- Wenchang City Wenchang Chicken Research Institute, Wenchang 571300, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Cheng Ma
- Wenchang City Wenchang Chicken Research Institute, Wenchang 571300, China.
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Zhang X, Perry RJ. Metabolic underpinnings of cancer-related fatigue. Am J Physiol Endocrinol Metab 2024; 326:E290-E307. [PMID: 38294698 DOI: 10.1152/ajpendo.00378.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/23/2024] [Accepted: 01/23/2024] [Indexed: 02/01/2024]
Abstract
Cancer-related fatigue (CRF) is one of the most prevalent and detrimental complications of cancer. Emerging evidence suggests that obesity and insulin resistance are associated with CRF occurrence and severity in cancer patients and survivors. In this narrative review, we analyzed recent studies including both preclinical and clinical research on the relationship between obesity and/or insulin resistance and CRF. We also describe potential mechanisms for these relationships, though with the caveat that because the mechanisms underlying CRF are incompletely understood, the mechanisms mediating the association between obesity/insulin resistance and CRF are similarly incompletely delineated. The data suggest that, in addition to their effects to worsen CRF by directly promoting tumor growth and metastasis, obesity and insulin resistance may also contribute to CRF by inducing chronic inflammation, neuroendocrinological disturbance, and metabolic alterations. Furthermore, studies suggest that patients with obesity and insulin resistance experience more cancer-induced pain and are at more risk of emotional and behavioral disruptions correlated with CRF. However, other studies implied a potentially paradoxical impact of obesity and insulin resistance to reduce CRF symptoms. Despite the need for further investigation utilizing interventions to directly elucidate the mechanisms of cancer-related fatigue, current evidence demonstrates a correlation between obesity and/or insulin resistance and CRF, and suggests potential therapeutics for CRF by targeting obesity and/or obesity-related mediators.
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Affiliation(s)
- Xinyi Zhang
- Departments of Cellular & Molecular Physiology and Medicine (Endocrinology), Yale University School of Medicine, New Haven, Connecticut, United States
| | - Rachel J Perry
- Departments of Cellular & Molecular Physiology and Medicine (Endocrinology), Yale University School of Medicine, New Haven, Connecticut, United States
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Abstract
Obesity is a common complex trait that elevates the risk for various diseases, including type 2 diabetes and cardiovascular disease. A combination of environmental and genetic factors influences the pathogenesis of obesity. Advances in genomic technologies have driven the identification of multiple genetic loci associated with this disease, ranging from studying severe onset cases to investigating common multifactorial polygenic forms. Additionally, findings from epigenetic analyses of modifications to the genome that do not involve changes to the underlying DNA sequence have emerged as key signatures in the development of obesity. Such modifications can mediate the effects of environmental factors, including diet and lifestyle, on gene expression and clinical presentation. This review outlines what is known about the genetic and epigenetic contributors to obesity susceptibility, along with the albeit limited therapeutic options currently available. Furthermore, we delineate the potential mechanisms of actions through which epigenetic changes can mediate environmental influences and the related opportunities they present for future interventions in the management of obesity.
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Affiliation(s)
- Khanh Trang
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
| | - Struan F.A. Grant
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- Division of Diabetes and Endocrinology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104 USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104 USA
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Salluzzo M, Vianello C, Abdullatef S, Rimondini R, Piccoli G, Carboni L. The Role of IgLON Cell Adhesion Molecules in Neurodegenerative Diseases. Genes (Basel) 2023; 14:1886. [PMID: 37895235 PMCID: PMC10606101 DOI: 10.3390/genes14101886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 10/29/2023] Open
Abstract
In the brain, cell adhesion molecules (CAMs) are critical for neurite outgrowth, axonal fasciculation, neuronal survival and migration, and synapse formation and maintenance. Among CAMs, the IgLON family comprises five members: Opioid Binding Protein/Cell Adhesion Molecule Like (OPCML or OBCAM), Limbic System Associated Membrane Protein (LSAMP), neurotrimin (NTM), Neuronal Growth Regulator 1 (NEGR1), and IgLON5. IgLONs exhibit three N-terminal C2 immunoglobulin domains; several glycosylation sites; and a glycosylphosphatidylinositol anchoring to the membrane. Interactions as homo- or heterodimers in cis and in trans, as well as binding to other molecules, appear critical for their functions. Shedding by metalloproteases generates soluble factors interacting with cellular receptors and activating signal transduction. The aim of this review was to analyse the available data implicating a role for IgLONs in neuropsychiatric disorders. Starting from the identification of a pathological role for antibodies against IgLON5 in an autoimmune neurodegenerative disease with a poorly understood mechanism of action, accumulating evidence links IgLONs to neuropsychiatric disorders, albeit with still undefined mechanisms which will require future thorough investigations.
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Affiliation(s)
- Marco Salluzzo
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy;
| | - Clara Vianello
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy; (C.V.); (R.R.)
| | - Sandra Abdullatef
- Department of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy; (S.A.); (G.P.)
| | - Roberto Rimondini
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy; (C.V.); (R.R.)
| | - Giovanni Piccoli
- Department of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy; (S.A.); (G.P.)
| | - Lucia Carboni
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy;
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7
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Boender AJ, Boon M, Albers HE, Eck SR, Fricker BA, Kelly AM, LeDoux JE, Motta SC, Shrestha P, Taylor JH, Trainor BC, Triana-Del Rio R, Young LJ. An AAV-CRISPR/Cas9 strategy for gene editing across divergent rodent species: Targeting neural oxytocin receptors as a proof of concept. SCIENCE ADVANCES 2023; 9:eadf4950. [PMID: 37256960 PMCID: PMC10413677 DOI: 10.1126/sciadv.adf4950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 04/24/2023] [Indexed: 06/02/2023]
Abstract
A major issue in neuroscience is the poor translatability of research results from preclinical studies in animals to clinical outcomes. Comparative neuroscience can overcome this barrier by studying multiple species to differentiate between species-specific and general mechanisms of neural circuit functioning. Targeted manipulation of neural circuits often depends on genetic dissection, and use of this technique has been restricted to only a few model species, limiting its application in comparative research. However, ongoing advances in genomics make genetic dissection attainable in a growing number of species. To demonstrate the potential of comparative gene editing approaches, we developed a viral-mediated CRISPR/Cas9 strategy that is predicted to target the oxytocin receptor (Oxtr) gene in >80 rodent species. This strategy specifically reduced OXTR levels in all evaluated species (n = 6) without causing gross neuronal toxicity. Thus, we show that CRISPR/Cas9-based tools can function in multiple species simultaneously. Thereby, we hope to encourage comparative gene editing and improve the translatability of neuroscientific research.
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Affiliation(s)
- Arjen J. Boender
- Center for Translational Social Neuroscience, Silvio O. Conte Center for Oxytocin and Social Cognition, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Marina Boon
- Center for Translational Social Neuroscience, Silvio O. Conte Center for Oxytocin and Social Cognition, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, Netherlands
| | - H. Elliott Albers
- Neuroscience Institute, Georgia State University, Atlanta, GA, USA
- Center for Behavioral Neuroscience, Georgia State University, Atlanta, GA, USA
| | - Samantha R. Eck
- Department of Psychology, University of California, Davis, Davis, CA, USA
| | | | - Aubrey M. Kelly
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Joseph E. LeDoux
- Center for Neural Science, New York University, New York, NY, USA
- Department of Psychiatry and Department of Child and Adolescent Psychiatry, New York University Langone Medical School, New York, NY, USA
| | - Simone C. Motta
- Institute of Biomedical Sciences, Department of Anatomy, University of São Paulo, São Paulo, SP, Brazil
| | - Prerana Shrestha
- Department of Neurobiology and Behavior, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Jack H. Taylor
- Neuroscience Institute, Georgia State University, Atlanta, GA, USA
- Center for Behavioral Neuroscience, Georgia State University, Atlanta, GA, USA
| | - Brian C. Trainor
- Department of Psychology, University of California, Davis, Davis, CA, USA
| | | | - Larry J. Young
- Center for Translational Social Neuroscience, Silvio O. Conte Center for Oxytocin and Social Cognition, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
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8
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Radford-Smith DE, Anthony DC. Prebiotic and Probiotic Modulation of the Microbiota-Gut-Brain Axis in Depression. Nutrients 2023; 15:nu15081880. [PMID: 37111100 PMCID: PMC10146605 DOI: 10.3390/nu15081880] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 04/07/2023] [Accepted: 04/10/2023] [Indexed: 04/29/2023] Open
Abstract
Emerging evidence demonstrates that alterations to the gut microbiota can affect mood, suggesting that the microbiota-gut-brain (MGB) axis contributes to the pathogenesis of depression. Many of these pathways overlap with the way in which the gut microbiota are thought to contribute to metabolic disease progression and obesity. In rodents, prebiotics and probiotics have been shown to modulate the composition and function of the gut microbiota. Together with germ-free rodent models, probiotics have provided compelling evidence for a causal relationship between microbes, microbial metabolites, and altered neurochemical signalling and inflammatory pathways in the brain. In humans, probiotic supplementation has demonstrated modest antidepressant effects in individuals with depressive symptoms, though more studies in clinically relevant populations are needed. This review critically discusses the role of the MGB axis in depression pathophysiology, integrating preclinical and clinical evidence, as well as the putative routes of communication between the microbiota-gut interface and the brain. A critical overview of the current approaches to investigating microbiome changes in depression is provided. To effectively translate preclinical breakthroughs in MGB axis research into novel therapies, rigorous placebo-controlled trials alongside a mechanistic and biochemical understanding of prebiotic and probiotic action are required from future research.
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Affiliation(s)
- Daniel E Radford-Smith
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3QT, UK
- Department of Chemistry, University of Oxford, Mansfield Road, Oxford OX1 3TA, UK
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford OX3 7JX, UK
| | - Daniel C Anthony
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3QT, UK
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9
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Du S, Chen J, Kim H, Walker ME, Lichtenstein AH, Chatterjee N, Ganz P, Yu B, Vasan RS, Coresh J, Rebholz CM. Plasma Protein Biomarkers of Healthy Dietary Patterns: Results from the Atherosclerosis Risk in Communities Study and the Framingham Heart Study. J Nutr 2023; 153:34-46. [PMID: 36913470 PMCID: PMC10196586 DOI: 10.1016/j.tjnut.2022.11.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/14/2022] [Accepted: 11/09/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Molecular mechanisms underlying the benefits of healthy dietary patterns are poorly understood. Identifying protein biomarkers of dietary patterns can contribute to characterizing biological pathways influenced by food intake. OBJECTIVES This study aimed to identify protein biomarkers associated with four indexes of healthy dietary patterns: Healthy Eating Index-2015 (HEI-2015); Alternative Healthy Eating Index-2010 (AHEI-2010); DASH diet; and alternate Mediterranean Diet (aMED). METHODS Analyses were conducted on 10,490 Black and White men and women aged 49-73 y from the ARIC study at visit 3 (1993-1995). Dietary intake data were collected using a food frequency questionnaire, and plasma proteins were quantified using an aptamer-based proteomics assay. Multivariable linear regression models were used to examine the association between 4955 proteins and dietary patterns. We performed pathway overrepresentation analysis for diet-related proteins. An independent study population from the Framingham Heart Study was used for replication analyses. RESULTS In the multivariable-adjusted models, 282 out of 4955 proteins (5.7%) were significantly associated with at least one dietary pattern (HEI-2015: 137; AHEI-2010: 72; DASH: 254; aMED: 35; P value < 0.05/4955 = 1.01 × 10-5). There were 148 proteins that were associated with only one dietary pattern (HEI-2015: 22; AHEI-2010: 5; DASH: 121; aMED: 0), and 20 proteins were associated with all four dietary patterns. Five unique biological pathways were significantly enriched by diet-related proteins. Seven out of 20 proteins associated with all dietary patterns in the ARIC study were available for replication analyses, and 6 out of these 7 proteins were consistent in direction and significantly associated with at least 1 dietary pattern in the Framingham Heart Study (HEI-2015: 2; AHEI-2010: 4; DASH: 6; aMED: 4; P value < 0.05/7 = 7.14 × 10-3). CONCLUSIONS A large-scale proteomic analysis identified plasma protein biomarkers that are representative of healthy dietary patterns among middle-aged and older US adult population. These protein biomarkers may be useful objective indicators of healthy dietary patterns.
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Affiliation(s)
- Shutong Du
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Jingsha Chen
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Hyunju Kim
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Maura E Walker
- Department of Health Sciences, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, USA; Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Alice H Lichtenstein
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Nilanjan Chatterjee
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Peter Ganz
- Cardiovascular Division, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Josef Coresh
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Casey M Rebholz
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
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10
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Mompeo O, Freidin MB, Gibson R, Hysi PG, Christofidou P, Segal E, Valdes AM, Spector TD, Menni C, Mangino M. Genome-Wide Association Analysis of Over 170,000 Individuals from the UK Biobank Identifies Seven Loci Associated with Dietary Approaches to Stop Hypertension (DASH) Diet. Nutrients 2022; 14:4431. [PMID: 36297114 PMCID: PMC9611599 DOI: 10.3390/nu14204431] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/17/2022] [Accepted: 10/17/2022] [Indexed: 01/24/2023] Open
Abstract
Diet is a modifiable risk factor for common chronic diseases and mental health disorders, and its effects are under partial genetic control. To estimate the impact of diet on individual health, most epidemiological and genetic studies have focused on individual aspects of dietary intake. However, analysing individual food groups in isolation does not capture the complexity of the whole diet pattern. Dietary indices enable a holistic estimation of diet and account for the intercorrelations between food and nutrients. In this study we performed the first ever genome-wide association study (GWA) including 173,701 individuals from the UK Biobank to identify genetic variants associated with the Dietary Approaches to Stop Hypertension (DASH) diet. DASH was calculated using the 24 h-recall questionnaire collected by UK Biobank. The GWA was performed using a linear mixed model implemented in BOLT-LMM. We identified seven independent single-nucleotide polymorphisms (SNPs) associated with DASH. Significant genetic correlations were observed between DASH and several educational traits with a significant enrichment for genes involved in the AMP-dependent protein kinase (AMPK) activation that controls the appetite by regulating the signalling in the hypothalamus. The colocalization analysis implicates genes involved in body mass index (BMI)/obesity and neuroticism (ARPP21, RP11-62H7.2, MFHAS1, RHEBL1). The Mendelian randomisation analysis suggested that increased DASH score, which reflect a healthy diet style, is causal of lower glucose, and insulin levels. These findings further our knowledge of the pathways underlying the relationship between diet and health outcomes. They may have significant implications for global public health and provide future dietary recommendations for the prevention of common chronic diseases.
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Affiliation(s)
- Olatz Mompeo
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Maxim B. Freidin
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Rachel Gibson
- Department of Nutritional Sciences, King’s College London, London SE1 9NH, UK
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Paraskevi Christofidou
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Ana M. Valdes
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
- Academic Rheumatology Clinical Sciences Building, Nottingham City Hospital, University of Nottingham, Nottingham NG5 1PB, UK
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
- NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London SE1 9RT, UK
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11
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Fadahunsi N, Lund J, Breum AW, Mathiesen CV, Larsen IB, Knudsen GM, Klein AB, Clemmensen C. Acute and long-term effects of psilocybin on energy balance and feeding behavior in mice. Transl Psychiatry 2022; 12:330. [PMID: 35953488 PMCID: PMC9372155 DOI: 10.1038/s41398-022-02103-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 07/21/2022] [Accepted: 07/29/2022] [Indexed: 12/13/2022] Open
Abstract
Psilocybin and other serotonergic psychedelics have re-emerged as therapeutics for neuropsychiatric disorders, including addiction. Psilocybin induces long-lasting effects on behavior, likely due to its profound ability to alter consciousness and augment neural connectivity and plasticity. Impaired synaptic plasticity in obesity contributes to 'addictive-like' behaviors, including heightened motivation for palatable food, and excessive food seeking and consumption. Here, we evaluate the effects of psilocybin on feeding behavior, energy metabolism, and as a weight-lowering agent in mice. We demonstrate that a single dose of psilocybin substantially alters the prefrontal cortex transcriptome but has no acute or long-lasting effects on food intake or body weight in diet-induced obese mice or in genetic mouse models of obesity. Similarly, sub-chronic microdosing of psilocybin has no metabolic effects in obese mice and psilocybin does not augment glucagon-like peptide-1 (GLP-1) induced weight loss or enhance diet-induced weight loss. A single high dose of psilocybin reduces sucrose preference but fails to counter binge-like eating behavior. Although these preclinical data discourage clinical investigation, there may be nuances in the mode of action of psychedelic drugs that are difficult to capture in rodent models, and thus require human evaluation to uncover.
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Affiliation(s)
- Nicole Fadahunsi
- grid.5254.60000 0001 0674 042XNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens Lund
- grid.5254.60000 0001 0674 042XNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alberte Wollesen Breum
- grid.5254.60000 0001 0674 042XNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cecilie Vad Mathiesen
- grid.5254.60000 0001 0674 042XNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Isabella Beck Larsen
- grid.5254.60000 0001 0674 042XNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gitte Moos Knudsen
- grid.4973.90000 0004 0646 7373Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet Copenhagen, Denmark ,grid.5254.60000 0001 0674 042XFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anders Bue Klein
- grid.5254.60000 0001 0674 042XNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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12
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Abstract
The prevalence of obesity has tripled over the past four decades, imposing an enormous burden on people's health. Polygenic (or common) obesity and rare, severe, early-onset monogenic obesity are often polarized as distinct diseases. However, gene discovery studies for both forms of obesity show that they have shared genetic and biological underpinnings, pointing to a key role for the brain in the control of body weight. Genome-wide association studies (GWAS) with increasing sample sizes and advances in sequencing technology are the main drivers behind a recent flurry of new discoveries. However, it is the post-GWAS, cross-disciplinary collaborations, which combine new omics technologies and analytical approaches, that have started to facilitate translation of genetic loci into meaningful biology and new avenues for treatment.
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Affiliation(s)
- Ruth J. F. Loos
- grid.5254.60000 0001 0674 042XNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark ,grid.59734.3c0000 0001 0670 2351Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Giles S. H. Yeo
- MRC Metabolic Diseases Unit, University of Cambridge Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
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13
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Kaare M, Mikheim K, Lilleväli K, Kilk K, Jagomäe T, Leidmaa E, Piirsalu M, Porosk R, Singh K, Reimets R, Taalberg E, Schäfer MKE, Plaas M, Vasar E, Philips MA. High-Fat Diet Induces Pre-Diabetes and Distinct Sex-Specific Metabolic Alterations in Negr1-Deficient Mice. Biomedicines 2021; 9:1148. [PMID: 34572334 PMCID: PMC8466019 DOI: 10.3390/biomedicines9091148] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/27/2021] [Accepted: 08/28/2021] [Indexed: 11/16/2022] Open
Abstract
In the large GWAS studies, NEGR1 gene has been one of the most significant gene loci for body mass phenotype. The purpose of the current study was to clarify the role of NEGR1 in the maintenance of systemic metabolism, including glucose homeostasis, by using both male and female Negr1-/- mice receiving a standard or high fat diet (HFD). We found that 6 weeks of HFD leads to higher levels of blood glucose in Negr1-/- mice. In the glucose tolerance test, HFD induced phenotype difference only in male mice; Negr1-/- male mice displayed altered glucose tolerance, accompanied with upregulation of circulatory branched-chain amino acids (BCAA). The general metabolomic profile indicates that Negr1-/- mice are biased towards glyconeogenesis, fatty acid synthesis, and higher protein catabolism, all of which are amplified by HFD. Negr1 deficiency appears to induce alterations in the efficiency of energy storage; reduced food intake could be an attempt to compensate for the metabolic challenge present in the Negr1-/- males, particularly during the HFD exposure. Our results suggest that the presence of functional Negr1 allows male mice to consume more HFD and prevents the development of glucose intolerance, liver steatosis, and excessive weight gain.
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Affiliation(s)
- Maria Kaare
- Institute of Biomedicine and Translational Medicine, Department of Physiology, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (K.M.); (K.L.); (T.J.); (M.P.); (K.S.); (E.V.); (M.-A.P.)
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
| | - Kaie Mikheim
- Institute of Biomedicine and Translational Medicine, Department of Physiology, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (K.M.); (K.L.); (T.J.); (M.P.); (K.S.); (E.V.); (M.-A.P.)
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
| | - Kersti Lilleväli
- Institute of Biomedicine and Translational Medicine, Department of Physiology, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (K.M.); (K.L.); (T.J.); (M.P.); (K.S.); (E.V.); (M.-A.P.)
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
| | - Kalle Kilk
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
- Institute of Biomedicine and Translational Medicine, Department of Biochemistry, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia
| | - Toomas Jagomäe
- Institute of Biomedicine and Translational Medicine, Department of Physiology, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (K.M.); (K.L.); (T.J.); (M.P.); (K.S.); (E.V.); (M.-A.P.)
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
- Institute of Biomedicine and Translational Medicine, Laboratory Animal Center, University of Tartu, 14B Ravila Street, 50411 Tartu, Estonia; (R.R.); (M.P.)
| | - Este Leidmaa
- Institute of Molecular Psychiatry, Medical Faculty, University of Bonn, 53129 Bonn, Germany;
| | - Maria Piirsalu
- Institute of Biomedicine and Translational Medicine, Department of Physiology, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (K.M.); (K.L.); (T.J.); (M.P.); (K.S.); (E.V.); (M.-A.P.)
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
| | - Rando Porosk
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
- Institute of Biomedicine and Translational Medicine, Department of Biochemistry, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia
| | - Katyayani Singh
- Institute of Biomedicine and Translational Medicine, Department of Physiology, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (K.M.); (K.L.); (T.J.); (M.P.); (K.S.); (E.V.); (M.-A.P.)
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
| | - Riin Reimets
- Institute of Biomedicine and Translational Medicine, Laboratory Animal Center, University of Tartu, 14B Ravila Street, 50411 Tartu, Estonia; (R.R.); (M.P.)
| | - Egon Taalberg
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
- Institute of Biomedicine and Translational Medicine, Department of Biochemistry, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia
| | - Michael K. E. Schäfer
- Department of Anesthesiology, Focus Program Translational Neurosciences, Research Center for Immunotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, 55131 Mainz, Germany;
| | - Mario Plaas
- Institute of Biomedicine and Translational Medicine, Laboratory Animal Center, University of Tartu, 14B Ravila Street, 50411 Tartu, Estonia; (R.R.); (M.P.)
| | - Eero Vasar
- Institute of Biomedicine and Translational Medicine, Department of Physiology, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (K.M.); (K.L.); (T.J.); (M.P.); (K.S.); (E.V.); (M.-A.P.)
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
| | - Mari-Anne Philips
- Institute of Biomedicine and Translational Medicine, Department of Physiology, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (K.M.); (K.L.); (T.J.); (M.P.); (K.S.); (E.V.); (M.-A.P.)
- Center of Excellence in Genomics and Translational Medicine, University of Tartu, 50411 Tartu, Estonia; (K.K.); (R.P.); (E.T.)
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14
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De Rosa MC, Glover HJ, Stratigopoulos G, LeDuc CA, Su Q, Shen Y, Sleeman MW, Chung WK, Leibel RL, Altarejos JY, Doege CA. Gene expression atlas of energy balance brain regions. JCI Insight 2021; 6:e149137. [PMID: 34283813 PMCID: PMC8409984 DOI: 10.1172/jci.insight.149137] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Energy balance is controlled by interconnected brain regions in the hypothalamus, brainstem, cortex, and limbic system. Gene expression signatures of these regions can help elucidate the pathophysiology underlying obesity. RNA sequencing was conducted on P56 C57BL/6NTac male mice and E14.5 C57BL/6NTac embryo punch biopsies in 16 obesity-relevant brain regions. The expression of 190 known obesity-associated genes (monogenic, rare, and low-frequency coding variants; GWAS; syndromic) was analyzed in each anatomical region. Genes associated with these genetic categories of obesity had localized expression patterns across brain regions. Known monogenic obesity causal genes were highly enriched in the arcuate nucleus of the hypothalamus and developing hypothalamus. The obesity-associated genes clustered into distinct “modules” of similar expression profile, and these were distinct from expression modules formed by similar analysis with genes known to be associated with other disease phenotypes (type 1 and type 2 diabetes, autism, breast cancer) in the same energy balance–relevant brain regions.
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Affiliation(s)
- Maria Caterina De Rosa
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,Columbia Stem Cell Initiative, and
| | - Hannah J Glover
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,Columbia Stem Cell Initiative, and
| | - George Stratigopoulos
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons
| | - Charles A LeDuc
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,New York Obesity Nutrition Research Center, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Qi Su
- Regeneron Pharmaceuticals Inc., Tarrytown, New York, USA
| | - Yufeng Shen
- Department of Systems Biology.,Department of Biomedical Informatics
| | - Mark W Sleeman
- Regeneron Pharmaceuticals Inc., Tarrytown, New York, USA
| | - Wendy K Chung
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,Department of Medicine.,Herbert Irving Comprehensive Cancer Center.,Institute of Human Nutrition
| | - Rudolph L Leibel
- Department of Pediatrics and Molecular Genetics.,Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,New York Obesity Nutrition Research Center, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.,Institute of Human Nutrition
| | | | - Claudia A Doege
- Naomi Berrie Diabetes Center, College of Physicians and Surgeons.,Columbia Stem Cell Initiative, and.,New York Obesity Nutrition Research Center, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.,Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
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15
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Mieth B, Rozier A, Rodriguez JA, Höhne MMC, Görnitz N, Müller KR. DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies. NAR Genom Bioinform 2021; 3:lqab065. [PMID: 34296082 PMCID: PMC8291080 DOI: 10.1093/nargab/lqab065] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 05/27/2021] [Accepted: 07/08/2021] [Indexed: 02/06/2023] Open
Abstract
Deep learning has revolutionized data science in many fields by greatly improving prediction performances in comparison to conventional approaches. Recently, explainable artificial intelligence has emerged as an area of research that goes beyond pure prediction improvement by extracting knowledge from deep learning methodologies through the interpretation of their results. We investigate such explanations to explore the genetic architectures of phenotypes in genome-wide association studies. Instead of testing each position in the genome individually, the novel three-step algorithm, called DeepCOMBI, first trains a neural network for the classification of subjects into their respective phenotypes. Second, it explains the classifiers’ decisions by applying layer-wise relevance propagation as one example from the pool of explanation techniques. The resulting importance scores are eventually used to determine a subset of the most relevant locations for multiple hypothesis testing in the third step. The performance of DeepCOMBI in terms of power and precision is investigated on generated datasets and a 2007 study. Verification of the latter is achieved by validating all findings with independent studies published up until 2020. DeepCOMBI is shown to outperform ordinary raw P-value thresholding and other baseline methods. Two novel disease associations (rs10889923 for hypertension, rs4769283 for type 1 diabetes) were identified.
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Affiliation(s)
- Bettina Mieth
- Machine Learning Group, Technische Universität Berlin, Berlin 10587, Germany
| | - Alexandre Rozier
- Machine Learning Group, Technische Universität Berlin, Berlin 10587, Germany
| | - Juan Antonio Rodriguez
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona 08003, Spain
| | - Marina M C Höhne
- Machine Learning Group, Technische Universität Berlin, Berlin 10587, Germany
| | | | - Klaus-Robert Müller
- Machine Learning Group, Technische Universität Berlin, Berlin 10587, Germany
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16
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Rana S, Bhatti AA. Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis. Sci Rep 2021; 11:8320. [PMID: 33859285 PMCID: PMC8050295 DOI: 10.1038/s41598-021-87702-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 04/01/2021] [Indexed: 12/18/2022] Open
Abstract
Obesity is an outcome of multiple factors including environmental and genetic influences. Common obesity is a polygenic trait indicating that multiple genetic variants act synergistically to influence its expression. We constructed a genetic risk score (GRS) based on five genetic variants (MC4R rs17782313, BDNF rs6265, FTO rs1421085, TMEM18 rs7561317, and NEGR1 rs2815752) and examined its association with obesity-related traits in a sample of Pakistanis. The study involved 306 overweight/obese (OW/OB) and 300 normal-weight (NW) individuals. The age range of the study participants was 12-63 years. All anthropometric and metabolic parameters were measured for each participant via standard procedures and biochemical assays, respectively. The genetic variants were genotyped by allelic discrimination assays. The age- and gender-adjusted associations between the GRS and obesity-related anthropometric and metabolic measures were determined using linear regression analyses. The results showed that OW/OB individuals had significantly higher mean ranks of GRS than NW individuals. Moreover, a significant association of the GRS with obesity-related anthropometric traits was seen. However, the GRS did not appear to affect any obesity-related metabolic parameter. In conclusion, our findings indicate the combined effect of multiple genetic variants on the obesity-related anthropometric phenotypes in Pakistanis.
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Affiliation(s)
- Sobia Rana
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, 75270, Pakistan.
| | - Adil Anwar Bhatti
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, 75270, Pakistan
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17
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Abstract
Obesity is associated with an increased risk of various diseases and mortality. Although nearly 50 % of adults have been reported trying to lose weight, the prevalence of obesity has increased. One factor that hinders weight loss-induced decrease in obesity prevalence is weight regain. Although behavioural, psychological and physiological factors associated with weight regain have been reviewed, the information regarding the relationship between weight regain and genetics has not been previously summarised. In this paper, we comprehensively review the association between genetic polymorphisms and weight regain in adults and children with obesity after weight loss. Based on this information, identification of genetic polymorphism in patients who undergo weight loss intervention might be used to estimate their risks of weight regain. Additionally, the genetic-based risk estimation may be used as a guide for physicians and dietitians to provide each of their patients with the most appropriate strategies for weight loss and weight maintenance.
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18
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Lents CA, Lindo AN, Hileman SM, Nonneman DJ. Physiological and genomic insight into neuroendocrine regulation of puberty in gilts. Domest Anim Endocrinol 2020; 73:106446. [PMID: 32199704 DOI: 10.1016/j.domaniend.2020.106446] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 01/27/2020] [Accepted: 01/29/2020] [Indexed: 12/20/2022]
Abstract
The timing of pubertal attainment in gilts is a critical factor for pork production and is an early indicator of future reproductive potential. Puberty, defined as age at first standing estrus in the presence of a boar, is brought about by an escape from estrogen inhibition of the GnRH pulse generator, which allows for increasing LH pulses leading to the onset of cyclicity. The biological mechanisms that control the timing of these events is related to decreasing inhibitory signals with a concomitant increase in stimulatory signals within the hypothalamus. The roles of gamma-aminobutyric acid, endogenous opioid peptides, and gonadotropin-inhibitory hormone in negatively regulating gonadotropin secretion in gilts is explored. Developmental changes in stimulatory mechanisms of glutamatergic and kisspeptin neurons are important for increased LH pulsatility required for the occurrence of puberty in pigs. Age at first estrus of gilts is metabolically gated, and numerous metabolites, metabolic hormones, and appetite-regulating neurotransmitters have been implicated in the nutritional regulation of gonadotropin secretion. Leptin is an important metabolic signal linking body energy reserves with age at puberty in gilts. Leptin acting through neuropeptide Y and proopiomelanocortin neurons in the hypothalamus has important impacts on the function of the reproductive neurosecretory axis of gilts. Age at puberty in swine is heritable, and genomic analyses reveal it to be a polygenic trait. Genome-wide association studies for pubertal age in gilts have revealed several genomic regions in common with those identified for age at menarche in humans. Candidate genes have been identified that have important functions in growth and adiposity. Numerous genes regulating hypothalamic neuronal function, gonadotropes in the adenohypophysis, and ovarian follicular development have been identified and illustrate the complex maturational changes occurring in the hypothalamic-pituitary-ovarian axis during puberty in gilts.
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Affiliation(s)
- C A Lents
- USDA, ARS, U.S. Meat Animal Research Center, Reproduction Research Unit, Clay Center, NE 68966-0166, USA.
| | - A N Lindo
- Department of Physiology and Pharmacology, West Virginia University, Morgantown, WV 26506-9600, USA
| | - S M Hileman
- Department of Physiology and Pharmacology, West Virginia University, Morgantown, WV 26506-9600, USA
| | - D J Nonneman
- USDA, ARS, U.S. Meat Animal Research Center, Reproduction Research Unit, Clay Center, NE 68966-0166, USA
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19
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Rana S, Mobin M. Association of the NEGR1 rs2815752 with obesity and related traits in Pakistani females. Ups J Med Sci 2020; 125:226-234. [PMID: 32419576 PMCID: PMC7875551 DOI: 10.1080/03009734.2020.1756996] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 04/13/2020] [Accepted: 04/14/2020] [Indexed: 12/16/2022] Open
Abstract
Introduction: The variant NEGR1 rs2815752 has recently been linked with obesity in Caucasians. However, a very limited number of studies have examined the association of the NEGR1 rs2815752 with overweight/obesity in non-Caucasians with no such study ever performed in Pakistani population. Therefore, the present study was undertaken to seek the association of the rs2815752 with overweight, obesity, and related traits in Pakistanis.Subjects and methods: The study involved 112 overweight/control pairs (total 224) and 194 obese/control pairs (total 388). Anthropometric parameters were measured by employing standard procedures. Metabolic parameters were determined by biochemical assays. Behavioral information was collected through a questionnaire. The rs2815752 was genotyped via TaqMan allelic discrimination assay. Regression analyses were employed to analyze the data in SPSS software.Results: The study revealed significant gender-specific association of the rs2815752 with obesity (OR 3.03; CI 1.19-7.72, p = 0.020) and some obesity-related anomalous anthropometric traits (weight, BMI, waist circumference, hip circumference, and abdominal and supra-iliac skinfold thicknesses) in females according to dominant model (h = 0.023). However, no association of the rs2815752 with obesity-related behavioral and metabolic parameters was observed.Conclusion: The NEGR1 rs2815752 may be associated with obese phenotype and some of the related anthropometric traits in Pakistani females.
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Affiliation(s)
- Sobia Rana
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, Pakistan
| | - Maha Mobin
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, Pakistan
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20
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Depression-Associated Gene Negr1-Fgfr2 Pathway Is Altered by Antidepressant Treatment. Cells 2020; 9:cells9081818. [PMID: 32751911 PMCID: PMC7464991 DOI: 10.3390/cells9081818] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 07/20/2020] [Accepted: 07/28/2020] [Indexed: 02/07/2023] Open
Abstract
The Negr1 gene has been significantly associated with major depression in genetic studies. Negr1 encodes for a cell adhesion molecule cleaved by the protease Adam10, thus activating Fgfr2 and promoting neuronal spine plasticity. We investigated whether antidepressants modulate the expression of genes belonging to Negr1-Fgfr2 pathway in Flinders sensitive line (FSL) rats, in a corticosterone-treated mouse model of depression, and in mouse primary neurons. Negr1 and Adam10 were the genes mostly affected by antidepressant treatment, and in opposite directions. Negr1 was down-regulated by escitalopram in the hypothalamus of FSL rats, by fluoxetine in the hippocampal dentate gyrus of corticosterone-treated mice, and by nortriptyline in hippocampal primary neurons. Adam10 mRNA was increased by nortriptyline administration in the hypothalamus, by escitalopram in the hippocampus of FSL rats, and by fluoxetine in mouse dorsal dentate gyrus. Similarly, nortriptyline increased Adam10 expression in hippocampal cultures. Fgfr2 expression was increased by nortriptyline in the hypothalamus of FSL rats and in hippocampal neurons. Lsamp, another IgLON family protein, increased in mouse dentate gyrus after fluoxetine treatment. These findings suggest that Negr1-Fgfr2 pathway plays a role in the modulation of synaptic plasticity induced by antidepressant treatment to promote therapeutic efficacy by rearranging connectivity in corticolimbic circuits impaired in depression.
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21
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Virtue AT, McCright SJ, Wright JM, Jimenez MT, Mowel WK, Kotzin JJ, Joannas L, Basavappa MG, Spencer SP, Clark ML, Eisennagel SH, Williams A, Levy M, Manne S, Henrickson SE, Wherry EJ, Thaiss CA, Elinav E, Henao-Mejia J. The gut microbiota regulates white adipose tissue inflammation and obesity via a family of microRNAs. Sci Transl Med 2020; 11:11/496/eaav1892. [PMID: 31189717 DOI: 10.1126/scitranslmed.aav1892] [Citation(s) in RCA: 196] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 12/18/2018] [Accepted: 05/17/2019] [Indexed: 12/13/2022]
Abstract
The gut microbiota is a key environmental determinant of mammalian metabolism. Regulation of white adipose tissue (WAT) by the gut microbiota is a process critical to maintaining metabolic fitness, and gut dysbiosis can contribute to the development of obesity and insulin resistance (IR). However, how the gut microbiota regulates WAT function remains largely unknown. Here, we show that tryptophan-derived metabolites produced by the gut microbiota controlled the expression of the miR-181 family in white adipocytes in mice to regulate energy expenditure and insulin sensitivity. Moreover, dysregulation of the gut microbiota-miR-181 axis was required for the development of obesity, IR, and WAT inflammation in mice. Our results indicate that regulation of miR-181 in WAT by gut microbiota-derived metabolites is a central mechanism by which host metabolism is tuned in response to dietary and environmental changes. As we also found that MIR-181 expression in WAT and the plasma abundance of tryptophan-derived metabolites were dysregulated in a cohort of obese human children, the MIR-181 family may represent a potential therapeutic target to modulate WAT function in the context of obesity.
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Affiliation(s)
- Anthony T Virtue
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sam J McCright
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jasmine M Wright
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Monica T Jimenez
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Walter K Mowel
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jonathan J Kotzin
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Leonel Joannas
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Megha G Basavappa
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Microbiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sean P Spencer
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Megan L Clark
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Adam Williams
- Jackson Laboratory for Genomic Medicine, Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT 06032, USA
| | - Maayan Levy
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Microbiology, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Sasikanth Manne
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Sarah E Henrickson
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Division of Allergy Immunology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - E John Wherry
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, Philadelphia, PA 19104, USA.,Parker Institute for Cancer Immunotherapy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christoph A Thaiss
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Microbiology, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Elinav
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Jorge Henao-Mejia
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. .,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
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22
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Noh K, Park JC, Han JS, Lee SJ. From Bound Cells Comes a Sound Mind: The Role of Neuronal Growth Regulator 1 in Psychiatric Disorders. Exp Neurobiol 2020; 29:1-10. [PMID: 32122104 PMCID: PMC7075657 DOI: 10.5607/en.2020.29.1.1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 02/23/2020] [Accepted: 02/25/2020] [Indexed: 12/21/2022] Open
Abstract
Cell-to-cell adhesion is important for maintenance of brain structure and function. Abnormal neuronal cell adhesion and loss of its connectivity are considered a main cause of psychiatric disorders such as major depressive disorder (MDD). Various cell adhesion molecules (CAMs) are involved in neuronal cell adhesions and thereby affect brain functions such as learning and memory, cognitive functions, and psychiatric functions. Compared with other CAMs, neuronal growth regulator 1 (Negr1) has a distinct functioning mechanism in terms of its cross-talk with cytokine receptor signaling. Negr1 is a member of the immunoglobulin LON (IgLON) family of proteins and is involved in neuronal outgrowth, dendritic arborization, and synapse formation. In humans, Negr1 is a risk gene for obesity based on a genome-wide association study. More recently, accumulating evidence supports that it also plays a critical role in psychiatric disorders. In this review, we discuss the recent findings on the role of Negr1 in MDD, focusing on its regulatory mechanism. We also provide evidence of putative involvement of Negr1 in other psychiatric disorders based on the novel behavioral phenotypes of Negr1 knockout mice.
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Affiliation(s)
- Kyungchul Noh
- Department of Physiology and Neuroscience, Dental Research Institute, Seoul National University School of Dentistry, Seoul 08826, Korea
| | - Jung-Cheol Park
- Department of Biological Science, Konkuk University, Seoul 05029, Korea
| | - Jung-Soo Han
- Department of Biological Science, Konkuk University, Seoul 05029, Korea
| | - Sung Joong Lee
- Department of Physiology and Neuroscience, Dental Research Institute, Seoul National University School of Dentistry, Seoul 08826, Korea
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23
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A Comprehensive Genome-Wide and Phenome-Wide Examination of BMI and Obesity in a Northern Nevadan Cohort. G3-GENES GENOMES GENETICS 2020; 10:645-664. [PMID: 31888951 PMCID: PMC7003082 DOI: 10.1534/g3.119.400910] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The aggregation of Electronic Health Records (EHR) and personalized genetics leads to powerful discoveries relevant to population health. Here we perform genome-wide association studies (GWAS) and accompanying phenome-wide association studies (PheWAS) to validate phenotype-genotype associations of BMI, and to a greater extent, severe Class 2 obesity, using comprehensive diagnostic and clinical data from the EHR database of our cohort. Three GWASs of 500,000 variants on the Illumina platform of 6,645 Healthy Nevada participants identified several published and novel variants that affect BMI and obesity. Each GWAS was followed with two independent PheWASs to examine associations between extensive phenotypes (incidence of diagnoses, condition, or disease), significant SNPs, BMI, and incidence of extreme obesity. The first GWAS examines associations with BMI in a cohort with no type 2 diabetics, focusing exclusively on BMI. The second GWAS examines associations with BMI in a cohort that includes type 2 diabetics. In the second GWAS, type 2 diabetes is a comorbidity, and thus becomes a covariate in the statistical model. The intersection of significant variants of these two studies is surprising. The third GWAS is a case vs. control study, with cases defined as extremely obese (Class 2 or 3 obesity), and controls defined as participants with BMI between 18.5 and 25. This last GWAS identifies strong associations with extreme obesity, including established variants in the FTO and NEGR1 genes, as well as loci not yet linked to obesity. The PheWASs validate published associations between BMI and extreme obesity and incidence of specific diagnoses and conditions, yet also highlight novel links. This study emphasizes the importance of our extensive longitudinal EHR database to validate known associations and identify putative novel links with BMI and obesity.
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24
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Breton E, Gagné-Ouellet V, Thibeault K, Guérin R, Van Lieshout R, Perron P, Hivert M, Bouchard L. Placental NEGR1 DNA methylation is associated with BMI and neurodevelopment in preschool-age children. Epigenetics 2019; 15:323-335. [PMID: 31510847 DOI: 10.1080/15592294.2019.1666653] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
Studies have linked maternal pre-pregnancy obesity and hyperglycaemia with metabolic and neurodevelopmental complications in childhood. DNA methylation (DNAm) might enable foetal adaptations to environmental adversities through important gene loci. NEGR1 is involved in both energy balance and behaviour regulation. The aim of this study was to investigate associations between placental DNAm at the NEGR1 gene locus and childhood anthropometric and neurodevelopmental profiles in preschoolers. We analysed 276 mother-child dyads from Gen3G, a prospective birth cohort from Sherbrooke. At 3yo (40.4 ± 3.0 months), we measured body mass index (BMI) and the mothers reported on offspring neurobehavior using the Strengths and Difficulties Questionnaire (SDQ). We quantified DNAm levels at 30 CpGs at the NEGR1 locus using the MethylationEPIC Array in placental biopsies. DNAm at four CpGs located before NEGR1 second exon predicted child's BMI z-score (cg26153364: β=-0.16 ± 0.04; p=0.008, cg23166710: β=0.14 ± 0.08; p=0.03) and SDQ total score (cg04932878: β=0.22 ± 1.0; p= 3.0x10-4, cg16525738: β=-0.14 ± 0.18; p=0.01, cg23166710: β=-0.13 ± 0.36; p= 0.04), explaining 4.2% (p=0.003) and 7.3% (p= 1.3 x 10-4) of BMI-z and SDQ variances. cg23166710 was associated with both childhood phenotypes and correlated with NEGR1 placental expression (r=-0.22, p=0.04), suggesting its possible functional role. Together, maternal metabolic characteristics during pregnancy with NEGR1 DNAm levels explained 7.4% (p=4.2 x 10-4) of BMI-z and 14.2% (p=2.8 x 10-7) of SDQ variance at 3yo. This longitudinal study suggests that placental NEGR1 DNAm is associated with adiposity and neurodevelopment in preschool children and highlights its potential role in their comorbidity.
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Affiliation(s)
- E Breton
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - V Gagné-Ouellet
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - K Thibeault
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - R Guérin
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada.,Department of Medical Biology, CIUSSS Saguenay-Lac-Saint-Jean - Hôpital de Chicoutimi, Saguenay, QC, Canada
| | - Rj Van Lieshout
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - P Perron
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Mf Hivert
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada.,Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA.,Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - L Bouchard
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada.,Department of Medical Biology, CIUSSS Saguenay-Lac-Saint-Jean - Hôpital de Chicoutimi, Saguenay, QC, Canada
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25
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Negr1 controls adult hippocampal neurogenesis and affective behaviors. Mol Psychiatry 2019; 24:1189-1205. [PMID: 30651602 DOI: 10.1038/s41380-018-0347-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 12/03/2018] [Accepted: 12/10/2018] [Indexed: 01/08/2023]
Abstract
Recent genome-wide association studies on major depressive disorder have implicated neuronal growth regulator 1 (Negr1), a GPI-anchored cell adhesion molecule in the immunoglobulin LON family. Although Negr1 has been shown to regulate neurite outgrowth and synapse formation, the mechanism through which this protein affects mood disorders is still largely unknown. In this research, we characterized Negr1-deficient (negr1-/-) mice to elucidate the function of Negr1 in anxiety and depression. We found that anxiety- and depression-like behaviors increased in negr1-/- mice compared with wild-type mice. In addition, negr1-/- mice had decreased adult hippocampal neurogenesis compared to wild-type mice. Concurrently, both LTP and mEPSC in the dentate gyrus (DG) region were severely compromised in negr1-/- mice. In our effort to elucidate the underlying molecular mechanisms, we found that lipocalin-2 (Lcn2) expression was decreased in the hippocampus of negr1-/- mice compared to wild-type mice. Heterologous Lcn2 expression in the hippocampal DG of negr1-/- mice rescued anxiety- and depression-like behaviors and restored neurogenesis and mEPSC frequency to their normal levels in these mice. Furthermore, we discovered that Negr1 interacts with leukemia inhibitory factor receptor (LIFR) and modulates LIF-induced Lcn2 expression. Taken together, our data uncovered a novel mechanism of mood regulation by Negr1 involving an interaction between Negr1 and LIFR along with Lcn2 expression.
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26
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Neuronal growth regulator 1-deficient mice show increased adiposity and decreased muscle mass. Int J Obes (Lond) 2019; 43:1769-1782. [PMID: 31086253 DOI: 10.1038/s41366-019-0376-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 03/19/2019] [Accepted: 03/25/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Neuronal growth regulator 1 (NEGR1) is a glycosylphosphatidylinositol-anchored membrane protein that mediates neural cell communication and synapse formation. Multiple genome-wide association studies have reported that variations in NEGR1 are associated with human body weight control. Recently, we found that NEGR1 is involved in intracellular cholesterol trafficking, suggesting that it performs a non-central nervous system (CNS) function associated with human obesity. METHODS We compared peripheral tissues such as the adipose, liver, and skeletal muscle tissues of Negr1-/- and Negr1+/+ (wild-type [WT]) C57BL/6 mice (n = 5-14). Intracellular lipid content was measured, and lipid accumulation was visualized by staining tissue cross-sections with lipid-specific stains. Muscle capacity of the WT and Negr1-/- mice was determined by performing a treadmill endurance test, and muscle fiber size was examined. Plasma glucose and insulin levels were measured, and glucose and insulin tolerance tests were performed. RESULTS The Negr1-/- mice showed a significant increase in fat mass (~1.5-fold increase in the epididymal white adipose tissue, p = 0.000002), with abnormally enlarged adipose cells, compared with the WT mice. Primary adipocytes of the Negr1-/- mice contained enlarged cytosolic lipid droplets (p = 0.049). Moreover, these mice showed significant hepatic lipid accumulation (~2.3-fold increase, p = 0.043). Although the Negr1-/- mice did not show a significant change in plasma lipoprotein level, they showed a >1.3-fold increase in a serum glucose (p = 0.0002) and insulin (p = 0.016) levels. Moreover, the Negr1-/- mice showed decreased muscle capacity, as indicated by a decrease in muscle mass (p = 0.000003). CONCLUSION These results indicate that NEGR1 deficiency induces abnormal fat deposition in various peripheral cells, especially fat and liver tissue cells, and suggest that NEGR1 is a potential molecular target for designing anti-obesity drugs to regulate body weight both centrally and peripherally.
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27
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Ozdemir Erdoğan M, Avci K, Yildiz SH, Arikan Terzi ES, Söylemez Z, Varol N, Solak M. Effect of gene polymorphisms in transmembrane protein 18 ( TMEM18) and neuronal growth regulator 1 ( NEGR1) on body mass index in obese subjects. BIOTECHNOL BIOTEC EQ 2018. [DOI: 10.1080/13102818.2018.1533430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
Affiliation(s)
- Müjgan Ozdemir Erdoğan
- Faculty of Medicine, Department of Medical Biology, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Kamuran Avci
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Saliha Handan Yildiz
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Evrim Suna Arikan Terzi
- Faculty of Medicine, Department of Medical Biology, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Zafer Söylemez
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Nuray Varol
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Mustafa Solak
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
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Kubick N, Brösamle D, Mickael ME. Molecular Evolution and Functional Divergence of the IgLON Family. Evol Bioinform Online 2018; 14:1176934318775081. [PMID: 29844654 PMCID: PMC5967153 DOI: 10.1177/1176934318775081] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 04/09/2018] [Indexed: 11/15/2022] Open
Abstract
IgLON family is a subgroup of cell adhesion molecules which is known to have diverse roles in neuronal development. IgLONs are characterized by possessing 3 Ig-like C2 domains, which play a part in mediating various cellular interactions. Recently, IgLONs have been shown to be expressed at the blood-brain barrier (BBB). However, our understanding of the genetic divergence patterns and evolutionary rates of these proteins in relation to their functions, in general, and at the BBB, in particular, remains inadequate. In this study, 12 species were explored to shed more light on the phylogenetic origins, structure, functional specificity, and divergence of this family. A total of 40 IgLON genes were identified from vertebrates and invertebrates. The absence of IgLON family genes in Hydra vulgaris and Nematostella vectensis but not in Drosophila melanogaster suggests that this family appeared during the time of divergence of Arthropoda 455 Mya. In general, IgLON genes have been subject to strong positive selection in vertebrates. Our study, based on IgLONs’ structural similarity, suggests that they may play a role in the evolutionary changes in the brain anatomy towards complexity including regulating neural growth and BBB permeability. IgLONs’ functions seem to be performed through complex interactions on the level of motifs as well as single residues. We identified several IgLON motifs that could be influencing cellular migration and proliferation as well as BBB integrity through interactions with SH3 or integrin. Our motif analysis also revealed that NEGR1 might be involved in MAPK pathway as a form of a signal transmitting receptor through its motif (KKVRVVVNF). We found several residues that were both positively selected and with highly functional specificity. We also located functional divergent residues that could act as drug targets to regulate BBB permeability. Furthermore, we identified several putative metalloproteinase cleavage sites that support the ectodomain shedding hypothesis of the IgLONs. In conclusion, our results present a bridge between IgLONs’ molecular evolution and their functions.
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Affiliation(s)
- Norwin Kubick
- Institute of Biochemistry, Molecular Cell Biology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Desiree Brösamle
- Institute of Medical Systems Biology, Center for Molecular Neurobiology Hamburg, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Michel-Edwar Mickael
- Institute of Medical Systems Biology, Center for Molecular Neurobiology Hamburg, University Clinic Hamburg-Eppendorf, Hamburg, Germany
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Kim H, Chun Y, Che L, Kim J, Lee S, Lee S. The new obesity-associated protein, neuronal growth regulator 1 (NEGR1), is implicated in Niemann-Pick disease Type C (NPC2)-mediated cholesterol trafficking. Biochem Biophys Res Commun 2016; 482:1367-1374. [PMID: 27940359 DOI: 10.1016/j.bbrc.2016.12.043] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 12/06/2016] [Indexed: 01/12/2023]
Abstract
Neuronal growth regulator 1 (NEGR1) is a newly identified raft-associated protein, which has recently been spotlighted as a new locus related to human obesity. Niemann-Pick disease Type C2 (NPC2) protein functions as a key player in the intracellular cholesterol trafficking, and its defect is linked to a fatal human neurodegenerative disease, NPC. In this study, we identified that NEGR1 interacts with NPC2 and increases its protein stability. Ectopically expressed NEGR1 proteins relieved an abnormal cholesterol accumulation in endosomal compartments. Importantly, NEGR1-defective mouse embryonic fibroblast cells exhibit increased cholesterol levels and triglyceride contents. These findings provide the first insight into the role of NEGR1 in intracellular cholesterol homeostasis, possibly explaining the missing link between NEGR1 with human obesity.
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Affiliation(s)
- Hyejin Kim
- Department of Microbiology and Molecular Biology, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Younghwa Chun
- Department of Microbiology and Molecular Biology, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Lihua Che
- Department of Microbiology and Molecular Biology, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Jeongbeom Kim
- Department of Microbiology and Molecular Biology, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Sungjoong Lee
- Department of Dentistry, Seoul National University, Seoul, 03080, Republic of Korea
| | - Soojin Lee
- Department of Microbiology and Molecular Biology, Chungnam National University, Daejeon, 34134, Republic of Korea.
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Genovese A, Cox DM, Butler MG. Partial Deletion of Chromosome 1p31.1 Including only the Neuronal Growth Regulator 1 Gene in Two Siblings. J Pediatr Genet 2016; 4:23-8. [PMID: 27617112 DOI: 10.1055/s-0035-1554977] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
We present two siblings with a partial deletion of chromosome 1p31.1 involving only the neuronal growth regulator 1 (NEGR1) gene. The siblings had a history of neuropsychiatric and behavioral problems, learning difficulties, hypotonia, mild aortic root dilatation, hypermobility, and scoliosis. This is the first clinical report of a microdeletion of chromosome 1p31.1 involving only the NEGR1 gene.
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Affiliation(s)
- Ann Genovese
- Department of Psychiatry and Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, Kansas, United States
| | - Devin M Cox
- Department of Psychiatry and Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, Kansas, United States
| | - Merlin G Butler
- Department of Psychiatry and Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, Kansas, United States
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Nonneman DJ, Schneider JF, Lents CA, Wiedmann RT, Vallet JL, Rohrer GA. Genome-wide association and identification of candidate genes for age at puberty in swine. BMC Genet 2016; 17:50. [PMID: 26923368 PMCID: PMC4770536 DOI: 10.1186/s12863-016-0352-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2015] [Accepted: 02/12/2016] [Indexed: 12/29/2022] Open
Abstract
Background Reproductive efficiency has a great impact on the economic success of pork production. Gilts comprise a significant portion of breeding females and gilts that reach puberty earlier tend to stay in the herd longer and be more productive. About 10 to 30 % of gilts never farrow a litter and the most common reasons for removal are anestrus and failure to conceive. Puberty in pigs is usually defined as the female’s first estrus in the presence of boar stimulation. Genetic markers associated with age at puberty will allow for selection on age at puberty and traits correlated with sow lifetime productivity. Results Gilts (n = 759) with estrus detection measurements ranging from 140–240 days were genotyped using the Illumina PorcineSNP60 BeadChip and SNP were tested for significant effects with a Bayesian approach using GenSel software. Of the available 8111 five-marker windows, 27 were found to be statistically significant with a comparison-wise error of P < 0.01. Ten QTL were highly significant at P < 0.005 level. Two QTL, one on SSC12 at 15 Mb and the other on SSC7 at 75 Mb, explained 16.87 % of the total genetic variance. The most compelling candidate genes in these two regions included the growth hormone gene (GH1) on SSC12 and PRKD1 on SSC7. Several loci confirmed associations previously identified for age at puberty in the pig and loci for age at menarche in humans. Conclusions Several of the loci identified in this study have a physiological role for the onset of puberty and a genetic basis for sexual maturation in humans. Understanding the genes involved in regulation of the onset of puberty would allow for the improvement of reproductive efficiency in swine. Because age at puberty is a predictive factor for sow longevity and lifetime productivity, but not routinely measured or selected for in commercial herds, it would be beneficial to be able to use genomic or marker-assisted selection to improve these traits. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0352-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dan J Nonneman
- United States Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
| | - James F Schneider
- United States Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
| | - Clay A Lents
- United States Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
| | - Ralph T Wiedmann
- United States Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
| | - Jeffrey L Vallet
- United States Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
| | - Gary A Rohrer
- United States Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
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Tassano E, Gamucci A, Celle ME, Ronchetto P, Cuoco C, Gimelli G. Clinical and Molecular Cytogenetic Characterization of a de novo Interstitial 1p31.1p31.3 Deletion in a Boy with Moderate Intellectual Disability and Severe Language Impairment. Cytogenet Genome Res 2015; 146:39-43. [DOI: 10.1159/000431391] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2015] [Indexed: 11/19/2022] Open
Abstract
Interstitial 1p deletions are rare events. Very few cases of 1p31.1p31.3 deletions characterized by variable phenotypes have been reported. No clear genotype-phenotype correlation has been determined yet. We present a child with a de novo interstitial 1p31.1p31.3 deletion, identified by array CGH, associated with intellectual disability and severe language impairment. The deleted region contains 20 OMIM genes, but we focused on GADD45A (MIM 126335; growth arrest- and DNA damage-inducible gene), LRRC7 (MIM 614453; leucine-rich repeat-containing protein 7), and NEGR1 (MIM 613173; neuronal growth regulator 1). We discuss whether these genes play a role in determining the phenotype of our patient in order to investigate the possibility of a genotype-phenotype correlation.
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Kullmann S, Schweizer F, Veit R, Fritsche A, Preissl H. Compromised white matter integrity in obesity. Obes Rev 2015; 16:273-81. [PMID: 25676886 DOI: 10.1111/obr.12248] [Citation(s) in RCA: 104] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Revised: 11/14/2014] [Accepted: 12/01/2014] [Indexed: 12/13/2022]
Abstract
Obesity is associated with both structural and functional changes of the central nervous system. While gray matter alterations in obesity point to a consistent reduction with increasing body mass index (BMI), volumetric changes in white matter are more complex and less conclusive. Hence, more recently, diffusion tensor imaging (DTI) has been employed as a highly sensitive tool to investigate microstructural changes in white matter structure. Parameters of diffusivity and anisotropy are used to evaluate white matter and fibre integrity as well as axonal and myelin degeneration. Fractional anisotropy (FA) is the most commonly used parameter as it is the best estimate of fibre integrity. The focus of this review was on the relationship between obesity and brain alterations assessed by DTI. Altogether, these studies have shown a loss of white matter integrity with obesity-related factors, especially in tracts within the limbic system and those connecting the temporal and frontal lobe. More specifically, multiple studies found an inverse association between BMI and FA in the corpus callosum, fornix, cingulum and corona radiata in elderly and young adults as well as children. Furthermore, significant interactions were observed between BMI and age, pointing to accelerated ageing of white matter structure in obese.
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Affiliation(s)
- S Kullmann
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany; Institute of Medical Psychology and Behavioral Neurobiology, fMEG Center, University of Tübingen, Tübingen, Germany
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