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Huang T, Zhang X, Li Q, Li X, Yao J, Song J, Chen Y, Ye L, Li C, Xiran P, Wen Y. The Association between Obesity Susceptibility and Polymorphisms of MC4R, SH2B1, and NEGR1 in Tibetans. Genet Test Mol Biomarkers 2024; 28:267-274. [PMID: 39034913 DOI: 10.1089/gtmb.2023.0546] [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] [Indexed: 07/23/2024] Open
Abstract
Background: A high-altitude environment has inhibitory effects on obesity. Tibetans are not a high-risk population for obesity, but there are still obese individuals within that population. Obesity has become a worldwide health problem, and previous studies have found that obesity is closely associated with hereditary factors. Few studies have investigated obesity in Tibetans, and the association between gene polymorphisms and obesity in Tibetans remains unclear. Methods: Our study investigated the fat mass of 140 native Tibetan individuals (70 men and 70 women) from Lhasa and analyzed the associations between polymorphisms of melanocortin 4 receptor (MC4R), Src homology 2B adapter protein 1 (SH2B1), and neuronal growth regulator 1 (NEGR1) and obesity. Result: Among Tibetan individuals, there were differences in genotype and allele frequencies between those in the obesity group and those in the healthy group at MC4R (rs17782313) and SH2B1 (rs7359397). The polymorphisms of MC4R (rs17782313) were associated with fat mass and obesity in Tibetan men and women, and there was an association between SH2B1 (rs7359397) polymorphisms and fat mass and obesity in Tibetan men. However, polymorphisms of NEGR1 (rs3101336) were not associated with fat mass or obesity in Tibetan individuals. Conclusion: Among Tibetan individuals, polymorphisms of MC4R (rs17782313) and SH2B1 (rs7359397) were associated with obesity, but NEGR1 (rs3101336) polymorphisms were not associated with obesity.
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Affiliation(s)
- Ting Huang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Xianpeng Zhang
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Qiang Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
- Department of Anatomy, Wuwei Occupational College, Wuwei, China
| | - Xin Li
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Jie Yao
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Jia Song
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Ying Chen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
| | - Liping Ye
- Department of Radiology, Nagqu District People's Hospital, Nagqu, China
| | - Chunshan Li
- Department of Radiology, Nagqu District People's Hospital, Nagqu, China
| | - Pingcuo Xiran
- Maternal and Children Health Care Hospital of Ali District, Ali, China
| | - Youfeng Wen
- Institute of Biological Anthropology, Jinzhou Medical University, Jinzhou, China
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2
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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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3
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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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4
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Lee J, Kim S, Lee B, Kim YB, Kim KH, Chung G, Lee SJ, Lee S, Sun W, Park HK, Choi SY. Major depression-related factor NEGR1 controls salivary secretion in mouse submandibular glands. iScience 2023; 26:106773. [PMID: 37216094 PMCID: PMC10196562 DOI: 10.1016/j.isci.2023.106773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/26/2023] [Accepted: 04/24/2023] [Indexed: 05/24/2023] Open
Abstract
Salivary gland cells, which secrete water in response to neuronal stimulation, are closely connected to other neurons. Transcriptomic studies show that salivary glands also express some proteins responsible for neuronal function. However, the physiological functions of these common neuro-exocrine factors in salivary glands are largely unknown. Here, we studied the function of Neuronal growth regulator 1 (NEGR1) in the salivary gland cells. NEGR1 was also expressed in mouse and human salivary glands. The structure of salivary glands of Negr1 knockout (KO) mice was normal. Negr1 KO mice showed tempered carbachol- or thapsigargin-induced intracellular Ca2+ increases and store-operated Ca2+ entry. Of interest, the activity of the large-conductance Ca2+-activated K+ channel (BK channel) was increased, whereas Ca2+-activated Cl- channel ANO1 channel activity was not altered in Negr1 KO mice. Pilocarpine- and carbachol-induced salivation was decreased in Negr1 KO mice. These results suggest that NEGR1 influence salivary secretion though the muscarinic Ca2+ signaling.
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Affiliation(s)
- Jisoo Lee
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea
| | - Soohyun Kim
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea
| | - Boram Lee
- Department of Anatomy, Brain Korea 21 Plus Program for Biomedical Science, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Yoo-Bin Kim
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea
| | - Kwang Hwan Kim
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea
| | - Gehoon Chung
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea
| | - Sung Joong Lee
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea
| | - Soojin Lee
- Department of Microbiology and Molecular Biology, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Woong Sun
- Department of Anatomy, Brain Korea 21 Plus Program for Biomedical Science, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Hee-Kyung Park
- Department of Oral Medicine and Oral Diagnosis, Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea
| | - Se-Young Choi
- Department of Physiology, Dental Research Institute, Seoul National University School of Dentistry, Seoul 03080, Republic of Korea
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5
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Nigro P, Vamvini M, Yang J, Caputo T, Ho LL, Carbone NP, Papadopoulos D, Conlin R, He J, Hirshman MF, White JD, Robidoux J, Hickner RC, Nielsen S, Pedersen BK, Kellis M, Middelbeek RJW, Goodyear LJ. Exercise training remodels inguinal white adipose tissue through adaptations in innervation, vascularization, and the extracellular matrix. Cell Rep 2023; 42:112392. [PMID: 37058410 PMCID: PMC10374102 DOI: 10.1016/j.celrep.2023.112392] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 02/13/2023] [Accepted: 03/30/2023] [Indexed: 04/15/2023] Open
Abstract
Inguinal white adipose tissue (iWAT) is essential for the beneficial effects of exercise training on metabolic health. The underlying mechanisms for these effects are not fully understood, and here, we test the hypothesis that exercise training results in a more favorable iWAT structural phenotype. Using biochemical, imaging, and multi-omics analyses, we find that 11 days of wheel running in male mice causes profound iWAT remodeling including decreased extracellular matrix (ECM) deposition and increased vascularization and innervation. We identify adipose stem cells as one of the main contributors to training-induced ECM remodeling, show that the PRDM16 transcriptional complex is necessary for iWAT remodeling and beiging, and discover neuronal growth regulator 1 (NEGR1) as a link between PRDM16 and neuritogenesis. Moreover, we find that training causes a shift from hypertrophic to insulin-sensitive adipocyte subpopulations. Exercise training leads to remarkable adaptations to iWAT structure and cell-type composition that can confer beneficial changes in tissue metabolism.
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Affiliation(s)
- Pasquale Nigro
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Maria Vamvini
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jiekun Yang
- Computational Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tiziana Caputo
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA; Computational Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Li-Lun Ho
- Computational Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nicholas P Carbone
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Danae Papadopoulos
- Computational Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Royce Conlin
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Jie He
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Michael F Hirshman
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Joseph D White
- Department of Pharmacology and Toxicology, East Carolina University, Greenville, NC, USA
| | - Jacques Robidoux
- Department of Pharmacology and Toxicology, East Carolina University, Greenville, NC, USA
| | - Robert C Hickner
- Department of Pharmacology and Toxicology, East Carolina University, Greenville, NC, USA; Department of Nutrition and Integrative Physiology, Florida State University, Tallahassee, FL, USA
| | - Søren Nielsen
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bente K Pedersen
- The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Manolis Kellis
- Computational Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Roeland J W Middelbeek
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Laurie J Goodyear
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
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6
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Yoo A, Lee S. Neuronal growth regulator 1 may modulate interleukin-6 signaling in adipocytes. Front Mol Biosci 2023; 10:1148521. [PMID: 37187893 PMCID: PMC10175572 DOI: 10.3389/fmolb.2023.1148521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/18/2023] [Indexed: 05/17/2023] Open
Abstract
Interleukin-6 (IL-6) is a pleiotropic cytokine that plays both anti- and pro-inflammatory roles. Due to the restricted expression of membrane IL-6 receptor (IL-6R), most pro-inflammatory functions of IL-6 are attributed to its association with soluble IL-6R (sIL-6R). Neuronal growth regulator 1 (NEGR1) is a brain-enriched membrane protein that has recently been recognized as a risk factor for many human diseases including obesity, depression, and autism. In the present study, we report that the expression levels of IL-6 and IL-6R, as well as the phosphorylation of signal transducer and activator of transcription (STAT) 3, were significantly elevated in white adipose tissues of Negr1 knockout mice. Elevated levels of circulating IL-6 and sIL-6R have also been observed in Negr1 -/- mice. Furthermore, NEGR1 interacted with IL-6R, which was supported by subcellular fractionation and an in situ proximity ligation assay. Importantly, NEGR1 expression attenuated the phosphorylation of STAT3 by sIL-6R, suggesting that NEGR1 negatively regulates IL-6 trans-signaling. Taken together, we propose that NEGR1 may play a regulatory role in IL-6 signaling by interacting with IL-6R, which may contribute to a molecular link underlying obesity, inflammation, and the depression cycle.
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7
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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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8
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Duregotti E, Reumiller CM, Mayr U, Hasman M, Schmidt LE, Burnap SA, Theofilatos K, Barallobre-Barreiro J, Beran A, Grandoch M, Viviano A, Jahangiri M, Mayr M. Reduced secretion of neuronal growth regulator 1 contributes to impaired adipose-neuronal crosstalk in obesity. Nat Commun 2022; 13:7269. [PMID: 36433953 PMCID: PMC9700863 DOI: 10.1038/s41467-022-34846-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 11/09/2022] [Indexed: 11/27/2022] Open
Abstract
While the endocrine function of white adipose tissue has been extensively explored, comparatively little is known about the secretory activity of less-investigated fat depots. Here, we use proteomics to compare the secretory profiles of male murine perivascular depots with those of canonical white and brown fat. Perivascular secretomes show enrichment for neuronal cell-adhesion molecules, reflecting a higher content of intra-parenchymal sympathetic projections compared to other adipose depots. The sympathetic innervation is reduced in the perivascular fat of obese (ob/ob) male mice, as well as in the epicardial fat of patients with obesity. Degeneration of sympathetic neurites is observed in presence of conditioned media of fat explants from ob/ob mice, that show reduced secretion of neuronal growth regulator 1. Supplementation of neuronal growth regulator 1 reverses this neurodegenerative effect, unveiling a neurotrophic role for this protein previously identified as a locus associated with human obesity. As sympathetic stimulation triggers energy-consuming processes in adipose tissue, an impaired adipose-neuronal crosstalk is likely to contribute to the disrupted metabolic homeostasis characterising obesity.
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Affiliation(s)
- Elisa Duregotti
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
| | - Christina M. Reumiller
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
| | - Ursula Mayr
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
| | - Maria Hasman
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
| | - Lukas E. Schmidt
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
| | - Sean A. Burnap
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
| | - Konstantinos Theofilatos
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
| | - Javier Barallobre-Barreiro
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
| | - Arne Beran
- grid.411327.20000 0001 2176 9917Institute of Translational Pharmacology, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Maria Grandoch
- grid.411327.20000 0001 2176 9917Institute of Translational Pharmacology, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Alessandro Viviano
- grid.4464.20000 0001 2161 2573Department of Cardiothoracic Surgery, St. George’s Hospital, University of London, London, UK ,grid.7445.20000 0001 2113 8111Present Address: Department of Cardiothoracic Surgery, Hammersmith Hospital, Imperial College London, London, UK
| | - Marjan Jahangiri
- grid.4464.20000 0001 2161 2573Department of Cardiothoracic Surgery, St. George’s Hospital, University of London, London, UK
| | - Manuel Mayr
- grid.13097.3c0000 0001 2322 6764King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK
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9
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Ding H, Ouyang M, Wang J, Xie M, Huang Y, Yuan F, Jia Y, Zhang X, Liu N, Zhang N. Shared genetics between classes of obesity and psychiatric disorders: A large-scale genome-wide cross-trait analysis. J Psychosom Res 2022; 162:111032. [PMID: 36137488 DOI: 10.1016/j.jpsychores.2022.111032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/16/2022] [Accepted: 08/31/2022] [Indexed: 10/31/2022]
Abstract
AIMS Epidemiological studies demonstrate an association between classes of obesity and psychiatric disorders, although little is known about shared genetics and causality of association. Thus, we aimed to investigate shared genetics and causal link between different classes of obesity and psychiatric disorders. METHODS We used genome-wide association study (GWAS) summary data range from 9725 to 500,199 sample sizes of European descent, conducted a large-scale genome-wide cross-trait association study to investigate genetic overlap between the classes of obesity and anorexia nervosa, attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, obsessive-compulsive disorder, schizophrenia, anxiety disorders and Tourette syndrome. We conducted transcriptome-wide association study analysis (TWAS) to identified variants regulated gene expression in those related disorders. Finally, pathway enrichment analysis to identified major pathways. RESULTS In the combined analysis, we replicated 211 previously reported loci and discovered 58 novel independent loci that were associated with all three classes of obesity and related psychiatric disorders. Functional analysis revealed that the identified variants regulated gene expression in major tissues belonging to exocrine/endocrine, digestive, circulatory, adipose, digestive, respiratory, and nervous systems, such as DCC, NEGR1, INO80E. Mendelian randomization analyses suggested that there may be a two-way or one-way causal relationship between obesity and psychiatric disorders. CONCLUSION This large-scale genome-wide cross-trait analysis identified shared genetics and potential causal links between classes of obesity and psychiatric disorders (attention deficit hyperactivity disorder, autism spectrum disorder, anorexia nervosa, major depressive disorder, schizophrenia, and obsessive-compulsive disorder). Such shared genetics suggests potential new biological functions in common among them.
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Affiliation(s)
- Hui Ding
- The Affiliated Nanjing Brain Hospital of Nanjing Medical Univesity, 264 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Mengyuan Ouyang
- The Affiliated Nanjing Brain Hospital of Nanjing Medical Univesity, 264 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Jinyi Wang
- The Affiliated Nanjing Brain Hospital of Nanjing Medical Univesity, 264 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Minyao Xie
- The Affiliated Nanjing Brain Hospital of Nanjing Medical Univesity, 264 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Yanyuan Huang
- The Affiliated Nanjing Brain Hospital of Nanjing Medical Univesity, 264 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Fangzheng Yuan
- School of Psychology, Nanjing Normal University, Nanjing 210023, China
| | - Yunhan Jia
- School of Psychology, Nanjing Normal University, Nanjing 210023, China
| | - Xuedi Zhang
- The Affiliated Nanjing Brain Hospital of Nanjing Medical Univesity, 264 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Na Liu
- The Affiliated Nanjing Brain Hospital of Nanjing Medical Univesity, 264 Guangzhou Road, Nanjing, Jiangsu 210029, China.
| | - Ning Zhang
- The Affiliated Nanjing Brain Hospital of Nanjing Medical Univesity, 264 Guangzhou Road, Nanjing, Jiangsu 210029, China.
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10
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Special Issue: Emerging Paradigms in Insulin Resistance. Biomedicines 2022; 10:biomedicines10071471. [PMID: 35884776 PMCID: PMC9313343 DOI: 10.3390/biomedicines10071471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 11/16/2022] Open
Abstract
This Biomedicines Special Issue was designed to attract articles that focused on different facets of biology relating to insulin resistance, defined as reduced cellular and organismal response to the insulin hormone, and its underlying mechanisms [...]
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11
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Yoo A, Joo Y, Cheon Y, Lee SJ, Lee S. Neuronal growth regulator 1 promotes adipocyte lipid trafficking via interaction with CD36. J Lipid Res 2022; 63:100221. [PMID: 35526561 PMCID: PMC9189132 DOI: 10.1016/j.jlr.2022.100221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 01/06/2023] Open
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12
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Han BX, Yan SS, Xu Q, Ni JJ, Wei XT, Feng GJ, Zhang H, Li B, Zhang L, Pei YF. Mendelian Randomization Analysis Reveals Causal Effects of Plasma Proteome on Body Composition Traits. J Clin Endocrinol Metab 2022; 107:e2133-e2140. [PMID: 34922401 DOI: 10.1210/clinem/dgab911] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Observational studies have demonstrated associations between plasma proteins and obesity, but evidence of causal relationship remains to be studied. OBJECTIVE We aimed to evaluate the causal relationship between plasma proteins and body composition. METHODS We conducted a 2-sample Mendelian randomization (MR) analysis based on the genome-wide association study (GWAS) summary statistics of 23 body composition traits and 2656 plasma proteins. We then performed hierarchical cluster analysis to evaluate the structure and pattern of the identified causal associations, and we performed gene ontology enrichment analysis to explore the functional relevance of the identified proteins. RESULTS We identified 430 putatively causal effects of 96 plasma proteins on 22 body composition traits (except obesity status) with strong MR evidence (P < 2.53 × 10 - 6, at a Bonferroni-corrected threshold). The top 3 causal associations are follistatin (FST) on trunk fat-free mass (Beta = -0.63, SE = 0.04, P = 2.00 × 10-63), insulin-like growth factor-binding protein 1 (IGFBP1) on trunk fat-free mass (Beta = -0.54, SE = 0.03, P = 1.79 × 10-57) and r-spondin-3 (RSPO3) on WHR (waist circumference/hip circumference) (Beta = 0.01, SE = 4.47 × 10-4, P = 5.45 × 10-60), respectively. Further clustering analysis and pathway analysis demonstrated that the pattern of causal effect to fat mass and fat-free mass may be different. CONCLUSION Our findings may provide evidence for causal relationships from plasma proteins to various body composition traits and provide basis for further targeted functional studies.
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Affiliation(s)
- Bai-Xue Han
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
| | - Shan-Shan Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
| | - Qian Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
| | - Jing-Jing Ni
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Xin-Tong Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
| | - Gui-Juan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
| | - Hong Zhang
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Bin Li
- Department of General Surgery, Suzhou Ninth Hospital Affiliated to Soochow University; Affiliated Wujiang Hospital of Nantong University; Suzhou Ninth People's Hospital, Suzhou, Jiangsu, PR China
| | - Lei Zhang
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Yu-Fang Pei
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China
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13
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Sim G, Jeong M, Seo H, Kim J, Lee S. The Role of N-Glycosylation in the Intracellular Trafficking and Functionality of Neuronal Growth Regulator 1. Cells 2022; 11:cells11071242. [PMID: 35406805 PMCID: PMC8997467 DOI: 10.3390/cells11071242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 04/04/2022] [Accepted: 04/05/2022] [Indexed: 11/25/2022] Open
Abstract
Neuronal growth regulator 1 (NEGR1) is a brain-enriched membrane protein that is involved in neural cell communication and synapse formation. Accumulating evidence indicates that NEGR1 is a generic risk factor for various psychiatric diseases including autism and depression. Endoglycosidase digestion of single NEGR1 mutants revealed that the wild type NEGR1 has six putative N-glycosylation sites partly organized in a Golgi-dependent manner. To understand the role of each putative N-glycan residue, we generated a series of multi-site mutants (2MT–6MT) with additive mutations. Cell surface staining and biotinylation revealed that NEGR1 mutants 1MT to 4MT were localized on the cell surface at different levels, whereas 5MT and 6MT were retained in the endoplasmic reticulum to form highly stable multimer complexes. This indicated 5MT and 6MT are less likely to fold correctly. Furthermore, the removal of two N-terminal sites N75 and N155 was sufficient to completely abrogate membrane targeting. An in vivo binding assay using the soluble NEGR1 protein demonstrated that glycans N286, N294 and N307 on the C-terminal immunoglobulin-like domain play important roles in homophilic interactions. Taken together, these results suggest that the N-glycan moieties of NEGR1 are closely involved in the folding, trafficking, and homodimer formation of NEGR1 protein in a site-specific manner.
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14
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Bhatti AA, Rana S. Association of genetic variants and behavioral factors with the risk of metabolic syndrome in Pakistanis. Biologia (Bratisl) 2022. [DOI: 10.1007/s11756-021-00983-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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15
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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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16
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Spatiotemporal expression of IgLON family members in the developing mouse nervous system. Sci Rep 2021; 11:19536. [PMID: 34599206 PMCID: PMC8486791 DOI: 10.1038/s41598-021-97768-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 08/25/2021] [Indexed: 02/08/2023] Open
Abstract
Differential expression of cell adhesion molecules in neuronal populations is one of the many mechanisms promoting the formation of functional neural circuits in the developing nervous system. The IgLON family consists of five cell surface immunoglobulin proteins that have been associated with various developmental disorders, such as autism spectrum disorder, schizophrenia, and major depressive disorder. However, there is still limited and fragmented information about their patterns of expression in certain regions of the developing nervous system and how their expression contributes to their function. Utilizing an in situ hybridization approach, we have analyzed the spatiotemporal expression of all IgLON family members in the developing mouse brain, spinal cord, eye, olfactory epithelium, and vomeronasal organ. At one prenatal (E16) and two postnatal (P0 and P15) ages, we show that each IgLON displays distinct expression patterns in the olfactory system, cerebral cortex, midbrain, cerebellum, spinal cord, and eye, indicating that they likely contribute to the wiring of specific neuronal circuitry. These analyses will inform future functional studies aimed at identifying additional roles for these proteins in nervous system development.
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17
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Li D, Huang M, Zhuang Z, Ding R, Gu T, Hong L, Zheng E, Li Z, Cai G, Wu Z, Yang J. Genomic Analyses Revealed the Genetic Difference and Potential Selection Genes of Growth Traits in Two Duroc Lines. Front Vet Sci 2021; 8:725367. [PMID: 34557543 PMCID: PMC8453014 DOI: 10.3389/fvets.2021.725367] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/03/2021] [Indexed: 01/02/2023] Open
Abstract
Duroc pigs are famous for their high growth rate, feed conversion efficiency, and lean meat percentage. Given that they have been subjected to artificial selection and breeding in multiple countries, various lines with obvious differences in production performance have formed. In this study, we genotyped 3,770 American Duroc (AD) pigs and 2,098 Canadian Duroc (CD) pigs using the GeneSeek Porcine SNP50 Beadchip to dissect the genetic differences and potential selection genes of growth traits in these two Duroc pig lines. Population structure detection showed that there were significant genetic differences between the two Duroc pig lines. Hence, we performed F ST and cross-population extended haplotype homozygosity (XP-EHH) analyses between the two lines. As a result, we identified 38 annotated genes that were significantly enriched in the gland development pathway in the AD line, and 61 annotated genes that were significantly enriched in the immune-related pathway in the CD line. For three growth traits including backfat thickness (BFT), loin muscle depth (LMD), and loin muscle area (LMA), we then performed selection signature detection at 5 and 10% levels within the line and identified different selected regions and a series of candidate genes that are involved in lipid metabolism and skeletal muscle development or repair, such as IRX3, EBF2, WNT10B, TLR2, PITX3, and SGCD. The differences in selected regions and genes between the two lines may be the cause of the differences in growth traits. Our study suggests significant genetic differences between the AD and CD lines, which provide a theoretical basis for selecting different Duroc lines as sires for different needs.
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Affiliation(s)
- Desen Li
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Min Huang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Zhanwei Zhuang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Rongrong Ding
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Ting Gu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Linjun Hong
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Enqin Zheng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Zicong Li
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Gengyuan Cai
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
| | - Zhenfang Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, China
| | - Jie Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
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18
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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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19
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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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20
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Cardosa SR, Ogunkolade BW, Lowe R, Savage E, Mein CA, Boucher BJ, Hitman GA. Areca catechu-(Betel-nut)-induced whole transcriptome changes in a human monocyte cell line that may have relevance to diabetes and obesity; a pilot study. BMC Endocr Disord 2021; 21:165. [PMID: 34391409 PMCID: PMC8364090 DOI: 10.1186/s12902-021-00827-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 07/26/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Betel-nut consumption is the fourth most common addictive habit globally and there is good evidence linking the habit to obesity, type 2 diabetes (T2D) and the metabolic syndrome. The aim of our pilot study was to identify gene expression relevant to obesity, T2D and the metabolic syndrome using a genome-wide transcriptomic approach in a human monocyte cell line incubated with arecoline and its nitrosated products. RESULTS The THP1 monocyte cell line was incubated separately with arecoline and 3-methylnitrosaminopropionaldehyde (MNPA) in triplicate for 24 h and pooled cDNA indexed paired-end libraries were sequenced (Illumina NextSeq 500). After incubation with arecoline and MNPA, 15 and 39 genes respectively had significant changes in their expression (q < 0.05, log fold change 1.5). Eighteen of those genes have reported associations with T2D and obesity in humans; of these genes there was most marked evidence for CLEC10A, MAPK8IP1, NEGR1, NQ01 and INHBE genes. CONCLUSIONS Our preliminary studies have identified a large number of genes relevant to obesity, T2D and metabolic syndrome whose expression was changed significantly in human TPH1 cells following incubation with betel-nut derived arecoline or with MNPA. These findings require validation by further cell-based work and investigation amongst betel-chewing communities.
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Affiliation(s)
- Shirleny R Cardosa
- Centre for Genomics and Child Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - B William Ogunkolade
- Centre for Genomics and Child Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Rob Lowe
- Centre for Genomics and Child Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Emanuel Savage
- Barts and The London Genome Centre, Blizard Institute, Queen Mary University of London, London, UK
| | - Charles A Mein
- Barts and The London Genome Centre, Blizard Institute, Queen Mary University of London, London, UK
| | - Barbara J Boucher
- Centre for Genomics and Child Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Graham A Hitman
- Centre for Genomics and Child Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
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21
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Zhuang Z, Yao M, Wong JYY, Liu Z, Huang T. Shared genetic etiology and causality between body fat percentage and cardiovascular diseases: a large-scale genome-wide cross-trait analysis. BMC Med 2021; 19:100. [PMID: 33910581 PMCID: PMC8082910 DOI: 10.1186/s12916-021-01972-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 03/23/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accumulating evidences have suggested that high body fat percentage (BF%) often occurs in parallel with cardiovascular diseases (CVDs), implying a common etiology between them. However, the shared genetic etiology underlying BF% and CVDs remains unclear. METHODS Using large-scale genome-wide association study (GWAS) data, we investigated shared genetics between BF% (N = 100,716) and 10 CVD-related traits (n = 6968-977,323) with linkage disequilibrium score regression, multi-trait analysis of GWAS, and transcriptome-wide association analysis, and evaluated causal associations using Mendelian randomization. RESULTS We found strong positive genetic correlations between BF% and heart failure (HF) (Rg = 0.47, P = 1.27 × 10- 22) and coronary artery disease (CAD) (Rg = 0.22, P = 3.26 × 10- 07). We identified 5 loci and 32 gene-tissue pairs shared between BF% and HF, as well as 16 loci and 28 gene-tissue pairs shared between BF% and CAD. The loci were enriched in blood vessels and brain tissues, while the gene-tissue pairs were enriched in the nervous, cardiovascular, and exo-/endocrine system. In addition, we observed that BF% was causally related with a higher risk of HF (odds ratio 1.63 per 1-SD increase in BF%, P = 4.16 × 10-04) using a MR approach. CONCLUSIONS Our findings suggest that BF% and CVDs have shared genetic etiology and targeted reduction of BF% may improve cardiovascular outcomes. This work advances our understanding of the genetic basis underlying co-morbid obesity and CVDs and opens up a new way for early prevention of CVDs.
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Affiliation(s)
- Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China. 38 Xueyuan Road, Beijing, 100191, China
| | - Minhao Yao
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Zhonghua Liu
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China.
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China. 38 Xueyuan Road, Beijing, 100191, China. .,Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, 100191, China. .,Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, 100191, China.
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22
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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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23
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Flores-Dorantes MT, Díaz-López YE, Gutiérrez-Aguilar R. Environment and Gene Association With Obesity and Their Impact on Neurodegenerative and Neurodevelopmental Diseases. Front Neurosci 2020; 14:863. [PMID: 32982666 PMCID: PMC7483585 DOI: 10.3389/fnins.2020.00863] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Accepted: 07/24/2020] [Indexed: 12/12/2022] Open
Abstract
Obesity is a multifactorial disease in which environmental conditions and several genes play an important role in the development of this disease. Obesity is associated with neurodegenerative diseases (Alzheimer, Parkinson, and Huntington diseases) and with neurodevelopmental diseases (autism disorder, schizophrenia, and fragile X syndrome). Some of the environmental conditions that lead to obesity are physical activity, alcohol consumption, socioeconomic status, parent feeding behavior, and diet. Interestingly, some of these environmental conditions are shared with neurodegenerative and neurodevelopmental diseases. Obesity impairs neurodevelopment abilities as memory and fine-motor skills. Moreover, maternal obesity affects the cognitive function and mental health of the offspring. The common biological mechanisms involved in obesity and neurodegenerative/neurodevelopmental diseases are insulin resistance, pro-inflammatory cytokines, and oxidative damage, among others, leading to impaired brain development or cell death. Obesogenic environmental conditions are not the only factors that influence neurodegenerative and neurodevelopmental diseases. In fact, several genes implicated in the leptin-melanocortin pathway (LEP, LEPR, POMC, BDNF, MC4R, PCSK1, SIM1, BDNF, TrkB, etc.) are associated with obesity and neurodegenerative and neurodevelopmental diseases. Moreover, in the last decades, the discovery of new genes associated with obesity (FTO, NRXN3, NPC1, NEGR1, MTCH2, GNPDA2, among others) and with neurodegenerative or neurodevelopmental diseases (APOE, CD38, SIRT1, TNFα, PAI-1, TREM2, SYT4, FMR1, TET3, among others) had opened new pathways to comprehend the common mechanisms involved in these diseases. In conclusion, the obesogenic environmental conditions, the genes, and the interaction gene-environment would lead to a better understanding of the etiology of these diseases.
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Affiliation(s)
- María Teresa Flores-Dorantes
- Laboratorio de Biología Molecular y Farmacogenómica, Centro de Investigación de Ciencia y Tecnología Aplicada de Tabasco, División Académica de Ciencias Básicas, Universidad Juárez Autónoma de Tabasco, Villahermosa, Mexico
| | - Yael Efren Díaz-López
- Laboratorio de Enfermedades Metabólicas: Obesidad y Diabetes, Hospital Infantil de México “Federico Gómez,”Mexico City, Mexico
- División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Ruth Gutiérrez-Aguilar
- Laboratorio de Enfermedades Metabólicas: Obesidad y Diabetes, Hospital Infantil de México “Federico Gómez,”Mexico City, Mexico
- División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
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24
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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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25
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Peters T, Nüllig L, Antel J, Naaresh R, Laabs BH, Tegeler L, Amhaouach C, Libuda L, Hinney A, Hebebrand J. The Role of Genetic Variation of BMI, Body Composition, and Fat Distribution for Mental Traits and Disorders: A Look-Up and Mendelian Randomization Study. Front Genet 2020; 11:373. [PMID: 32373164 PMCID: PMC7186862 DOI: 10.3389/fgene.2020.00373] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 03/26/2020] [Indexed: 12/22/2022] Open
Abstract
Anthropometric traits and mental disorders or traits are known to be associated clinically and to show genetic overlap. We aimed to identify genetic variants with relevance for mental disorders/traits and either (i) body mass index (or obesity), (ii) body composition, (and/or) (iii) body fat distribution. We performed a look-up analysis of 1,005 genome-wide significant SNPs for BMI, body composition, and body fat distribution in 15 mental disorders/traits. We identified 40 independent loci with one or more SNPs fulfilling our threshold significance criterion (P < 4.98 × 10-5) for the mental phenotypes. The majority of loci was associated with schizophrenia, educational attainment, and/or intelligence. Fewer associations were found for bipolar disorder, neuroticism, attention deficit/hyperactivity disorder, major depressive disorder, depressive symptoms, and well-being. Unique associations with measures of body fat distribution adjusted for BMI were identified at five loci only. To investigate the potential causality between body fat distribution and schizophrenia, we performed two-sample Mendelian randomization analyses. We found no causal effect of body fat distribution on schizophrenia and vice versa. In conclusion, we identified 40 loci which may contribute to genetic overlaps between mental disorders/traits and BMI and/or shape related phenotypes. The majority of loci identified for body composition overlapped with BMI loci, thus suggesting pleiotropic effects.
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Affiliation(s)
- Triinu Peters
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Lena Nüllig
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Jochen Antel
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Roaa Naaresh
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Björn-Hergen Laabs
- Institute of Medical Biometry and Statistics, University of Lübeck, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Lisa Tegeler
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Chaima Amhaouach
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Lars Libuda
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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26
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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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27
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King SE, Nilsson E, Beck D, Skinner MK. Adipocyte epigenetic alterations and potential therapeutic targets in transgenerationally inherited lean and obese phenotypes following ancestral exposures. Adipocyte 2019; 8:362-378. [PMID: 31755359 PMCID: PMC6948971 DOI: 10.1080/21623945.2019.1693747] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 10/30/2019] [Accepted: 11/11/2019] [Indexed: 01/01/2023] Open
Abstract
The incidence of obesity has increased dramatically over the past two decades with a prevalence of approximately 40% of the adult population within the United States. The current study examines the potential for transgenerational adipocyte (fat cell) epigenetic alterations. Adipocytes were isolated from the gonadal fat pad of the great-grand offspring F3 generation 1-year old rats ancestrally exposed to DDT (dichlorodiphenyltrichloroethane), atrazine, or vehicle control in order to obtain adipocytes for DNA methylation analysis. Observations indicate that there were differential DNA methylated regions (DMRs) in the adipocytes with the lean or obese phenotypes compared to control normal (non-obese or lean) populations. The comparison of epigenetic alterations indicated that there were substantial overlaps between the different treatment lineage groups for both the lean and obese phenotypes. Novel correlated genes and gene pathways associated with DNA methylation were identified, and may aid in the discovery of potential therapeutic targets for metabolic diseases such as obesity. Observations indicate that ancestral exposures during critical windows of development can induce the epigenetic transgenerational inheritance of DNA methylation changes in adipocytes that ultimately may contribute to an altered metabolic phenotype.
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Affiliation(s)
- Stephanie E. King
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA
| | - Eric Nilsson
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA
| | - Daniel Beck
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA
| | - Michael K. Skinner
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA
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