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Ochoa‐Avilés C, Ochoa‐Avilés A, Rivas‐Párraga R, Escandón S, Santos‐Jesus TD, Silva MDJ, Leão V, Salinas M, Vicuña Y, Baldeón L, Molina‐Cando MJ, Morillo D, Machuca M, Rodas C, Figueiredo C, Neira VA. Mother's smoking habits affects IL10 methylation but not asthma in Ecuadorian children. Mol Genet Genomic Med 2024; 12:e2438. [PMID: 38666495 PMCID: PMC11046467 DOI: 10.1002/mgg3.2438] [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: 12/25/2023] [Revised: 03/22/2024] [Accepted: 03/28/2024] [Indexed: 04/29/2024] Open
Abstract
There is no evidence evaluating the IL10 epigenetic upregulation among mestizo children in a high-altitude Andean city in Latin America. OBJECTIVE To identify polymorphisms and methylation profiles in the IL10 gene associated with asthma in children aged 5 to 11. METHODS A case-control study was conducted with asthmatic and non-asthmatic children aged 5 to 11 years in Cuenca-Ecuador. Data on allergic diseases and risk factors were collected through a questionnaire for parents. Atopy was measured by skin prick test (SPT) to relevant aeroallergens. Three IL10 single nucleotide polymorphisms were evaluated in all participants, and methylation analysis was performed in 54 participants. Association between risk factors, allergic diseases and genetic factors were estimated using multivariate logistic regression. RESULTS The results of polymorphisms showed no differences between cases and controls when comparing the SNPs rs3024495, rs3024496, rs1800896 allelic and genotypic frequencies. In the methylation analysis, no differences in the IL10 methylation profile were found between cases and controls; however, the multivariate analysis showed an association between the mother's smoking habits and the IL10 methylation profile. CONCLUSION Smoking habit could be essential as an environmental exposure factor in regulating gene expression in children with asthma.
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Affiliation(s)
- Cristina Ochoa‐Avilés
- Departamento de BiocienciasUniversidad de CuencaCuencaAzuayEcuador
- Departamento de Biorregulação, Instituto de Ciências da SaúdeUniversidade Federal da BahiaSalvadorBahiaBrazil
| | | | - Roque Rivas‐Párraga
- Departamento de BiocienciasUniversidad de CuencaCuencaAzuayEcuador
- Biomass to Resources GroupUniversidad Regional Amazónica IkiamTenaNapoEcuador
| | - Samuel Escandón
- Departamento de BiocienciasUniversidad de CuencaCuencaAzuayEcuador
| | - Talita Dos Santos‐Jesus
- Departamento de Biorregulação, Instituto de Ciências da SaúdeUniversidade Federal da BahiaSalvadorBahiaBrazil
| | - Milca de J. Silva
- Departamento de Biorregulação, Instituto de Ciências da SaúdeUniversidade Federal da BahiaSalvadorBahiaBrazil
| | - Valderiene Leão
- Departamento de Biorregulação, Instituto de Ciências da SaúdeUniversidade Federal da BahiaSalvadorBahiaBrazil
| | - Marco Salinas
- Biomass to Resources GroupUniversidad Regional Amazónica IkiamTenaNapoEcuador
| | - Yosselin Vicuña
- Instituto de Investigación en Biomedicina Facultad de Ciencias MédicasUniversidad Central del EcuadorQuitoPichinchaEcuador
| | - Lucy Baldeón
- Instituto de Investigación en Biomedicina Facultad de Ciencias MédicasUniversidad Central del EcuadorQuitoPichinchaEcuador
| | - María José Molina‐Cando
- Departamento de BiocienciasUniversidad de CuencaCuencaAzuayEcuador
- Facultad de MedicinaUniversidad Internacional del EcuadorQuitoPichinchaEcuador
| | - Diana Morillo
- Departamento de BiocienciasUniversidad de CuencaCuencaAzuayEcuador
- Facultad de MedicinaUniversidad Internacional del EcuadorQuitoPichinchaEcuador
| | - Marcos Machuca
- Facultad de MedicinaUniversidad del AzuayCuencaAzuayEcuador
| | - Claudia Rodas
- Facultad de MedicinaUniversidad del AzuayCuencaAzuayEcuador
| | - Camila Figueiredo
- Departamento de Biorregulação, Instituto de Ciências da SaúdeUniversidade Federal da BahiaSalvadorBahiaBrazil
| | - Vivian Alejandra Neira
- Departamento de BiocienciasUniversidad de CuencaCuencaAzuayEcuador
- Facultad de MedicinaUniversidad del AzuayCuencaAzuayEcuador
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2
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Cooper PJ, Figueiredo CA, Rodriguez A, Dos Santos LM, Ribeiro-Silva RC, Carneiro VL, Costa G, Magalhães T, Dos Santos de Jesus T, Rios R, da Silva HBF, Costa R, Chico ME, Vaca M, Alcantara-Neves N, Rodrigues LC, Cruz AA, Barreto ML. Understanding and controlling asthma in Latin America: A review of recent research informed by the SCAALA programme. Clin Transl Allergy 2023; 13:e12232. [PMID: 36973960 PMCID: PMC10041090 DOI: 10.1002/clt2.12232] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 02/01/2023] [Accepted: 02/15/2023] [Indexed: 03/29/2023] Open
Abstract
Asthma is an important health concern in Latin America (LA) where it is associated with variable prevalence and disease burden between countries. High prevalence and morbidity have been observed in some regions, particularly marginalized urban populations. Research over the past 10 years from LA has shown that childhood disease is primarily non-atopic. The attenuation of atopy may be explained by enhanced immune regulation induced by intense exposures to environmental factors such as childhood infections and poor environmental conditions of the urban poor. Non-atopic symptoms are associated with environmental and lifestyle factors including poor living conditions, respiratory infections, psychosocial stress, obesity, and a diet of highly processed foods. Ancestry (particularly African) and genetic factors increase asthma risk, and some of these factors may be specific to LA settings. Asthma in LA tends to be poorly controlled and depends on access to health care and medications. There is a need to improve management and access to medication through primary health care. Future research should consider the heterogeneity of asthma to identify relevant endotypes and underlying causes. The outcome of such research will need to focus on implementable strategies relevant to populations living in resource-poor settings where the disease burden is greatest.
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Affiliation(s)
- Philip J Cooper
- Escuela de Medicina, Universidad Internacional del Ecuador, Quito, Ecuador
- Institute of Infection and Immunity, St George's University of London, London, UK
| | - Camila A Figueiredo
- Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil
| | | | | | | | | | - Gustavo Costa
- Center for Data Knowledge and Integration for Health (CIDACS), Fundação Oswaldo Cruz, Bahia, Salvador, Brazil
- Universidade Salvador (UNIFACS), Salvador, Bahia, Brazil
| | - Thiago Magalhães
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil
| | | | - Raimon Rios
- Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil
| | | | - Ryan Costa
- Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil
| | - Martha E Chico
- Fundacion Ecuatoriana para la Investigacion en Salud (FEPIS), Esmeraldas, Ecuador
| | - Maritza Vaca
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil
- Fundacion Ecuatoriana para la Investigacion en Salud (FEPIS), Esmeraldas, Ecuador
| | | | - Laura C Rodrigues
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Alvaro A Cruz
- Universidade Federal da Bahia and Fundação ProAR, Salvador, Brazil
| | - Mauricio L Barreto
- Center for Data Knowledge and Integration for Health (CIDACS), Fundação Oswaldo Cruz, Bahia, Salvador, Brazil
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil
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3
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Hayden LP, Hobbs BD, Busch R, Cho MH, Liu M, Lopes-Ramos CM, Lomas DA, Bakke P, Gulsvik A, Silverman EK, Crapo JD, Beaty TH, Laird NM, Lange C, DeMeo DL. X chromosome associations with chronic obstructive pulmonary disease and related phenotypes: an X chromosome-wide association study. Respir Res 2023; 24:38. [PMID: 36726148 PMCID: PMC9891756 DOI: 10.1186/s12931-023-02337-1] [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: 04/21/2022] [Accepted: 01/18/2023] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The association between genetic variants on the X chromosome to risk of COPD has not been fully explored. We hypothesize that the X chromosome harbors variants important in determining risk of COPD related phenotypes and may drive sex differences in COPD manifestations. METHODS Using X chromosome data from three COPD-enriched cohorts of adult smokers, we performed X chromosome specific quality control, imputation, and testing for association with COPD case-control status, lung function, and quantitative emphysema. Analyses were performed among all subjects, then stratified by sex, and subsequently combined in meta-analyses. RESULTS Among 10,193 subjects of non-Hispanic white or European ancestry, a variant near TMSB4X, rs5979771, reached genome-wide significance for association with lung function measured by FEV1/FVC ([Formula: see text] 0.020, SE 0.004, p 4.97 × 10-08), with suggestive evidence of association with FEV1 ([Formula: see text] 0.092, SE 0.018, p 3.40 × 10-07). Sex-stratified analyses revealed X chromosome variants that were differentially trending in one sex, with significantly different effect sizes or directions. CONCLUSIONS This investigation identified loci influencing lung function, COPD, and emphysema in a comprehensive genetic association meta-analysis of X chromosome genetic markers from multiple COPD-related datasets. Sex differences play an important role in the pathobiology of complex lung disease, including X chromosome variants that demonstrate differential effects by sex and variants that may be relevant through escape from X chromosome inactivation. Comprehensive interrogation of the X chromosome to better understand genetic control of COPD and lung function is important to further understanding of disease pathology. Trial registration Genetic Epidemiology of COPD Study (COPDGene) is registered at ClinicalTrials.gov, NCT00608764 (Active since January 28, 2008). Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints Study (ECLIPSE), GlaxoSmithKline study code SCO104960, is registered at ClinicalTrials.gov, NCT00292552 (Active since February 16, 2006). Genetics of COPD in Norway Study (GenKOLS) holds GlaxoSmithKline study code RES11080, Genetics of Chronic Obstructive Lung Disease.
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Affiliation(s)
- Lystra P. Hayden
- grid.38142.3c000000041936754XDivision of Pulmonary Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA 02115 USA
| | - Brian D. Hobbs
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Robert Busch
- grid.417587.80000 0001 2243 3366Division of Pulmonology, Allergy, and Critical Care, U.S. Food and Drug Administration, Silver Spring, MD USA
| | - Michael H. Cho
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Ming Liu
- grid.268323.e0000 0001 1957 0327Bioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA USA
| | - Camila M. Lopes-Ramos
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - David A. Lomas
- grid.83440.3b0000000121901201UCL Respiratory, University College London, London, UK
| | - Per Bakke
- grid.7914.b0000 0004 1936 7443Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amund Gulsvik
- grid.7914.b0000 0004 1936 7443Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Edwin K. Silverman
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - James D. Crapo
- grid.240341.00000 0004 0396 0728Division of Pulmonary Sciences and Critical Care Medicine, National Jewish Health, Denver, CO USA
| | - Terri H. Beaty
- grid.21107.350000 0001 2171 9311Johns Hopkins School of Public Health, Baltimore, MD USA
| | - Nan M. Laird
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Christoph Lange
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Dawn L. DeMeo
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
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Boersma B, Jiskoot W, Lowe P, Bourquin C. The interleukin-1 cytokine family members: Role in cancer pathogenesis and potential therapeutic applications in cancer immunotherapy. Cytokine Growth Factor Rev 2021; 62:1-14. [PMID: 34620560 DOI: 10.1016/j.cytogfr.2021.09.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 09/20/2021] [Indexed: 02/06/2023]
Abstract
The interleukin-1 (IL-1) family is one of the first described cytokine families and consists of eight cytokines (IL-1β, IL-1α, IL-18, IL-33, IL-36α, IL-36β, IL-36γ and IL-37) and three receptor antagonists (IL-1Ra, IL-36Ra and IL-38). The family members are known to play an essential role in inflammation. The importance of inflammation in cancer has been well established in the past decades. This review sets out to give an overview of the role of each IL-1 family member in cancer pathogenesis and show their potential as potential anticancer drug candidates. First, the molecular structure is described. Next, both the pro- and anti-tumoral properties are highlighted. Additionally, a critical interpretation of current literature is given. To conclude, the IL-1 family is a toolbox with a collection of powerful tools that can be considered as potential drugs or drug targets.
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Affiliation(s)
- Bart Boersma
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1211 Geneva, Switzerland; School of Pharmaceutical Sciences, University of Geneva, 1211 Geneva, Switzerland.
| | - Wim Jiskoot
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
| | - Peter Lowe
- Department of Biomolecule Generation and Optimization, Institut de Recherche Pierre Fabre, Centre d'Immunologie Pierre Fabre, Saint-Julien-en-Genevois, France.
| | - Carole Bourquin
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1211 Geneva, Switzerland; School of Pharmaceutical Sciences, University of Geneva, 1211 Geneva, Switzerland; Department of Anesthesiology, Pharmacology and Intensive Care, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland.
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5
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Yang M, Deng X, Wang S, Wang K, Niu W, Zhang Z. Risk factors for allergic diseases: a cross-sectional survey of 9,501 Chinese preschool-aged children. Transl Pediatr 2021; 10:1989-2005. [PMID: 34584869 PMCID: PMC8429857 DOI: 10.21037/tp-21-124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 07/02/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Childhood allergic diseases are increasing worldwide with unprecedented complexity and severity, and they cause a major burden on health and healthcare costs. We aimed to identify potential factors, both in isolation and in combination, associated with allergic diseases among preschool-aged children, and to construct a nomogram prediction model based on significant factors. METHODS We cross-sectionally recruited 9,501 preschool-aged children from 30 kindergartens in Beijing and Tangshan. Allergic diseases were ascertained according to the "International Study of Asthma and Allergies in Childhood" questionnaire. Risk for allergic diseases is quantified by odds ratio (OR) with 95% confidence interval (CI). RESULTS Four factors were identified to be independently, consistently, and significantly associated with the risk for allergic diseases overall and by four clinical manifestations separately, including bedtime (per 1 hour late) (taking asthma/wheezing as an example, OR, 95% CI, P: 1.21, 1.08 to 1.35, 0.001), outdoor activities ≤1.5 h per day (1.45, 1.26 to 1.68, 3.77E-07), family history of allergic diseases (2.23, 1.92 to 2.60, 0.00E+00), and antibiotic use during childhood (3.64, 2.44 to 5.42, 1.66E-10). Further analyses revealed that family history of allergic diseases acted with antibiotic use during childhood in an additive manner. For practical reasons, risk prediction nomogram models were constructed for allergic diseases respectively in Beijing and Tangshan based on significant and conventional factors, and the prediction accuracy was good, with the C-index 69% in Tangshan and 68% in Beijing (both P=0.00E+00). CONCLUSIONS Our findings identified four factors in significant association with the risk for allergic diseases, and in particular family history of allergic diseases and antibiotic use during childhood acted additively.
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Affiliation(s)
- Min Yang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China.,Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Xiangling Deng
- Graduate School, Beijing University of Chinese Medicine, Beijing, China.,Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Shunan Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China.,Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Kundi Wang
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Wenquan Niu
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Zhixin Zhang
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China.,International Medical Services, China-Japan Friendship Hospital, Beijing, China
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6
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Prevalence and risk factors for asthma, rhinitis, eczema, and atopy among preschool children in an Andean city. PLoS One 2020; 15:e0234633. [PMID: 32649729 PMCID: PMC7351199 DOI: 10.1371/journal.pone.0234633] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 05/29/2020] [Indexed: 12/21/2022] Open
Abstract
Background Limited data are available on prevalence and associated risk factors for atopy and allergic diseases from high-altitude urban settings in Latin America. Objective To estimate the prevalence of atopy, asthma, rhinitis, and eczema, and associations with relevant risk factors in preschool children in the Andean city of Cuenca. Methods A cross-sectional study was undertaken using a representative sample of 535 children aged 3–5 years attending 30 nursery schools in the city of Cuenca, Ecuador. Data on allergic diseases and risk factors were collected by parental questionnaire. Atopy was measured by skin prick test (SPT) reactivity to a panel of relevant aeroallergens. Associations between risk factors and the prevalence of atopy and allergic diseases were estimated using multivariable logistic regression. Results Asthma symptoms were reported for 18% of children, rhinitis for 48%, and eczema for 28%, while SPT reactivity was present in 33%. Population fractions of asthma, rhinitis, and eczema attributable to SPT were 3.4%, 7.9%, and 2.9%, respectively. In multivariable models, an increased risk of asthma was observed among children with a maternal history of rhinitis (OR 1.85); rhinitis was significantly increased in children of high compared to low socioeconomic level (OR 2.09), among children with a maternal history of rhinitis (OR 2.29) or paternal history of eczema (OR 2.07), but reduced among children attending daycare (OR 0.64); eczema was associated with a paternal history of eczema (OR 3.73), and SPT was associated with having a dog inside the house (OR 1.67). Conclusions A high prevalence of asthma, rhinitis, and eczema symptoms were observed among preschool children in a high-altitude Andean setting. Despite a high prevalence of atopy, only a small fraction of symptoms was associated with atopy. Parental history of allergic diseases was the most consistent risk factor for symptoms in preschool children.
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7
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Cade BE, Chen H, Stilp AM, Louie T, Ancoli-Israel S, Arens R, Barfield R, Below JE, Cai J, Conomos MP, Evans DS, Frazier-Wood AC, Gharib SA, Gleason KJ, Gottlieb DJ, Hillman DR, Johnson WC, Lederer DJ, Lee J, Loredo JS, Mei H, Mukherjee S, Patel SR, Post WS, Purcell SM, Ramos AR, Reid KJ, Rice K, Shah NA, Sofer T, Taylor KD, Thornton TA, Wang H, Yaffe K, Zee PC, Hanis CL, Palmer LJ, Rotter JI, Stone KL, Tranah GJ, Wilson JG, Sunyaev SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S. Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep. PLoS Genet 2019; 15:e1007739. [PMID: 30990817 PMCID: PMC6467367 DOI: 10.1371/journal.pgen.1007739] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 10/03/2018] [Indexed: 12/12/2022] Open
Abstract
Sleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 × 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 × 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 × 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.
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Affiliation(s)
- Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX United States of America
- Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX United States of America
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Sonia Ancoli-Israel
- Department of Psychiatry, University of California, San Diego, CA, United States of America
| | - Raanan Arens
- The Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Richard Barfield
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Jennifer E. Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Jianwen Cai
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States of America
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Alexis C. Frazier-Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States of America
| | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle WA, United States of America
| | - Kevin J. Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States of America
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- VA Boston Healthcare System, Boston, MA, United States of America
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - David J. Lederer
- Departments of Medicine and Epidemiology, Columbia University, New York, NY, United States of America
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, CA, United States of America
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia
- Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, United States of America
| | - Shaun M. Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Kathryn J. Reid
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Neomi A. Shah
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Timothy A. Thornton
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, United States of America
- San Francisco VA Medical Center, San Francisco, CA, United States of America
| | - Phyllis C. Zee
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Craig L. Hanis
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX United States of America
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, South Australia, Australia
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson MS, United States of America
| | - Shamil R. Sunyaev
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, United States of America
- Division of Medical Sciences, Harvard Medical School, Boston, MA, United States of America
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
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8
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Hernandez-Pacheco N, Pino-Yanes M, Flores C. Genomic Predictors of Asthma Phenotypes and Treatment Response. Front Pediatr 2019; 7:6. [PMID: 30805318 PMCID: PMC6370703 DOI: 10.3389/fped.2019.00006] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 01/10/2019] [Indexed: 12/11/2022] Open
Abstract
Asthma is a complex respiratory disease considered as the most common chronic condition in children. A large genetic contribution to asthma susceptibility is predicted by the clustering of asthma and allergy symptoms among relatives and the large disease heritability estimated from twin studies, ranging from 55 to 90%. Genetic basis of asthma has been extensively investigated in the past 40 years using linkage analysis and candidate-gene association studies. However, the development of dense arrays for polymorphism genotyping has enabled the transition toward genome-wide association studies (GWAS), which have led the discovery of several unanticipated asthma genes in the last 11 years. Despite this, currently known risk variants identified using many thousand samples from distinct ethnicities only explain a small proportion of asthma heritability. This review examines the main findings of the last 2 years in genomic studies of asthma using GWAS and admixture mapping studies, as well as the direction of studies fostering integrative perspectives involving omics data. Additionally, we discuss the need for assessing the whole spectrum of genetic variation in association studies of asthma susceptibility, severity, and treatment response in order to further improve our knowledge of asthma genes and predictive biomarkers. Leveraging the individual's genetic information will allow a better understanding of asthma pathogenesis and will facilitate the transition toward a more precise diagnosis and treatment.
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Affiliation(s)
- Natalia Hernandez-Pacheco
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
| | - Maria Pino-Yanes
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Carlos Flores
- Research Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.,CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.,Genomics Division, Instituto Tecnológico y de Energías Renovables, Santa Cruz de Tenerife, Spain
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9
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Magalhães WCS, Araujo NM, Leal TP, Araujo GS, Viriato PJS, Kehdy FS, Costa GN, Barreto ML, Horta BL, Lima-Costa MF, Pereira AC, Tarazona-Santos E, Rodrigues MR. EPIGEN-Brazil Initiative resources: a Latin American imputation panel and the Scientific Workflow. Genome Res 2018; 28:1090-1095. [PMID: 29903722 PMCID: PMC6028131 DOI: 10.1101/gr.225458.117] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 05/24/2018] [Indexed: 12/24/2022]
Abstract
EPIGEN-Brazil is one of the largest Latin American initiatives at the interface of human genomics, public health, and computational biology. Here, we present two resources to address two challenges to the global dissemination of precision medicine and the development of the bioinformatics know-how to support it. To address the underrepresentation of non-European individuals in human genome diversity studies, we present the EPIGEN-5M+1KGP imputation panel—the fusion of the public 1000 Genomes Project (1KGP) Phase 3 imputation panel with haplotypes derived from the EPIGEN-5M data set (a product of the genotyping of 4.3 million SNPs in 265 admixed individuals from the EPIGEN-Brazil Initiative). When we imputed a target SNPs data set (6487 admixed individuals genotyped for 2.2 million SNPs from the EPIGEN-Brazil project) with the EPIGEN-5M+1KGP panel, we gained 140,452 more SNPs in total than when using the 1KGP Phase 3 panel alone and 788,873 additional high confidence SNPs (info score ≥ 0.8). Thus, the major effect of the inclusion of the EPIGEN-5M data set in this new imputation panel is not only to gain more SNPs but also to improve the quality of imputation. To address the lack of transparency and reproducibility of bioinformatics protocols, we present a conceptual Scientific Workflow in the form of a website that models the scientific process (by including publications, flowcharts, masterscripts, documents, and bioinformatics protocols), making it accessible and interactive. Its applicability is shown in the context of the development of our EPIGEN-5M+1KGP imputation panel. The Scientific Workflow also serves as a repository of bioinformatics resources.
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Affiliation(s)
- Wagner C S Magalhães
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.,Instituto Mario Penna, Núcleo de Ensino e Pesquisa, Belo Horizonte, Minas Gerais, 30380-472, Brazil
| | - Nathalia M Araujo
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil
| | - Thiago P Leal
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil
| | - Gilderlanio S Araujo
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil
| | - Paula J S Viriato
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil
| | - Fernanda S Kehdy
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.,Laboratório de Hanseníase, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, 21040-900, Brazil
| | - Gustavo N Costa
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, 40110-040, Brazil
| | - Mauricio L Barreto
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, 40110-040, Brazil.,Center for Data and Knowledge Integration for Health, Institute Gonçalo Muniz, Fundação Oswaldo Cruz, Salvador, Bahia, 40296-710, Brazil
| | - Bernardo L Horta
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, 96020-220, Brazil
| | - Maria Fernanda Lima-Costa
- Instituto de Pesquisa Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais, 30190-009, Brazil
| | - Alexandre C Pereira
- Instituto do Coração, Universidade de São Paulo, São Paulo, São Paulo, 05403-900, Brazil
| | - Eduardo Tarazona-Santos
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil
| | - Maíra R Rodrigues
- Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.,Faculdade de Ciências Médicas e Instituto de Matemática, Estatística e Ciência da Computação, Universidade de Campinas, São Paulo, 13083-894, Brazil
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10
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Garraud T, Harel M, Boutet MA, Le Goff B, Blanchard F. The enigmatic role of IL-38 in inflammatory diseases. Cytokine Growth Factor Rev 2018; 39:26-35. [PMID: 29366546 DOI: 10.1016/j.cytogfr.2018.01.001] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 01/09/2018] [Accepted: 01/11/2018] [Indexed: 12/12/2022]
Abstract
IL-38 is the most recently discovered cytokine of the IL-1 family and is considered a potential inhibitor of the IL-1 and Toll-like receptor families. IL-38 exerts anti-inflammatory properties, especially on macrophages, by inhibiting secretion of pro-inflammatory cytokines, leading to reduced T-lymphocyte TH17 maturation. IL-38 has been studied most extensively in the context of chronic inflammatory diseases, particularly arthritis, where it is considered an attractive new drug candidate. IL-38 research has entered a new phase, with the realization that IL-38 is important in the pathophysiology of TH17 dependent-diseases (psoriasis, psoriatic arthritis and ankylosing spondylitis). In this review, we provide a critical evaluation of several controversial issues concerning IL-38 function and regulation. There is effectively contrasting data regarding IL-38: it is produced in conditions such as apoptosis, necrosis or inflammation, but data is lacking regarding IL-38 processing and biological function. Furthermore, the receptor for IL-38 has yet to be identified, although three candidate receptors - IL-1R1, IL-36R and IL-1RAPL1-have been proposed. Future studies will hopefully uncover new aspects of this enigmatic cytokine.
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Affiliation(s)
- Thomas Garraud
- INSERM UMR1238, Nantes University, Nantes, France; Rheumatology Unit, Nantes University Hospital, Nantes, France.
| | | | | | - Benoit Le Goff
- INSERM UMR1238, Nantes University, Nantes, France; Rheumatology Unit, Nantes University Hospital, Nantes, France
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