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Gergianaki I, Fanouriakis A, Adamichou C, Spyrou G, Mihalopoulos N, Kazadzis S, Chatzi L, Sidiropoulos P, Boumpas DT, Bertsias G. Is systemic lupus erythematosus different in urban versus rural living environment? Data from the Cretan Lupus Epidemiology and Surveillance Registry. Lupus 2018; 28:104-113. [PMID: 30522399 DOI: 10.1177/0961203318816820] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Examining urban-rural differences can provide insights into susceptibility or modifying factors of complex diseases, yet limited data exist on systemic lupus erythematosus (SLE). OBJECTIVE To study SLE risk, manifestations and severity in relation to urban versus rural residence. METHODOLOGY Cross-sectional analysis of the Crete Lupus Registry. Demographics, residency history and clinical data were obtained from interviews and medical records ( N=399 patients). Patients with exclusively urban, rural or mixed urban/rural residence up to enrolment were compared. RESULTS The risk of SLE in urban versus rural areas was 2.08 (95% confidence interval: 1.66-2.61). Compared with rural, urban residence was associated with earlier (by almost seven years) disease diagnosis - despite comparable diagnostic delay - and lower female predominance (6.8:1 versus 15:1). Rural patients had fewer years of education and lower employment rates. Smoking was more frequent among urban, whereas pesticide use was increased among rural patients. A pattern of malar rash, photosensitivity, oral ulcers and arthritis was more prevalent in rural patients. Residence was not associated with organ damage although moderate/severe disease occurred more frequently among rural-living patients (multivariable adjusted odds ratio: 2.17, p=0.011). CONCLUSION Our data suggest that the living environment may influence the risk, gender bias and phenotype of SLE, not fully accounted for by sociodemographic factors.
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Affiliation(s)
- I Gergianaki
- 1 Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Iraklio, Greece.,2 Laboratory of Autoimmunity and Inflammation, Institute of Molecular Biology-Biotechnology, FORTH, Iraklio, Greece
| | - A Fanouriakis
- 3 Rheumatology, Clinical Immunology, 4th Department of Medicine, Attikon University Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - C Adamichou
- 1 Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Iraklio, Greece
| | - G Spyrou
- 1 Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Iraklio, Greece
| | - N Mihalopoulos
- 4 Environmental Chemical Processes Laboratory (ECPL), Department of Chemistry, University of Crete, Greece.,5 Institute for Environmental Research and Sustainable Development (IERSD), National Observatory of Athens (NOA), Athens, Greece
| | - S Kazadzis
- 5 Institute for Environmental Research and Sustainable Development (IERSD), National Observatory of Athens (NOA), Athens, Greece.,6 Physikalisch-Meteorologisches Observatorium Davos, World Radiation Centre (PMOD/WRC), Davos, Switzerland
| | - L Chatzi
- 7 Department of Social Medicine, University of Crete School of Medicine, Iraklio, Greece.,8 Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA.,9 Department of Genetics & Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - P Sidiropoulos
- 1 Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Iraklio, Greece.,2 Laboratory of Autoimmunity and Inflammation, Institute of Molecular Biology-Biotechnology, FORTH, Iraklio, Greece
| | - D T Boumpas
- 2 Laboratory of Autoimmunity and Inflammation, Institute of Molecular Biology-Biotechnology, FORTH, Iraklio, Greece.,3 Rheumatology, Clinical Immunology, 4th Department of Medicine, Attikon University Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece.,10 Joint Rheumatology Programme, National and Kapodistrian University of Athens Medical School, Athens, Greece.,11 University of Cyprus, Medical School, Nikosia, Cyprus.,12 Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - G Bertsias
- 1 Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Iraklio, Greece.,2 Laboratory of Autoimmunity and Inflammation, Institute of Molecular Biology-Biotechnology, FORTH, Iraklio, Greece
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Simoniello MF, Contini L, Benavente E, Mastandrea C, Roverano S, Paira S. Different end-points to assess effects in systemic lupus erythematosus patients exposed to pesticide mixtures. Toxicology 2016; 376:23-29. [PMID: 27497885 DOI: 10.1016/j.tox.2016.08.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 07/21/2016] [Accepted: 08/03/2016] [Indexed: 12/11/2022]
Abstract
Systemic Lupus Erythematosus (SLE) is an autoimmune disease with high female predominance in reproductive years. It is characterized by a pronounced inflammation and production of a variety of autoantibodies. SLE pathogenesis is influenced by genes, hormones and environmental agents. The aim of this study was assess the possible effect of environmental pesticide mixtures in SLE patients. Oxidative DNA damage was measured using the comet assay modified by enzyme Endo III for detection of oxidized bases (Endo Sites), and oxidative stress by the measurement of the activity of catalase (CAT), superoxide dismutase (SOD) and lipid peroxidation (TBARS). Eighty-nine patients with diagnosis of SLE were included, 46% of them came from areas highly sprayed with pesticides and were compared with patients from urban areas with the same clinical and socio-demographic characteristics (p≥0.155). In order to identify factors that could predict DNA damage and oxidative stress, a binary logistic regression model with independent variables was developed: place of residence (p=0.007) have 75% of positive predictive value while smoking habit (p=0.186) have a 56% negative predictive value. The Odd Ratio (OR) obtained indicate that lupus patients living in rural areas presented 3.52 times more oxidative DNA damage compared to those living in the city. The prospects of applying biomarkers to assess exposure and biological effects, such as DNA damage and oxidative stress in autoimmune diseases, allow improving the characterization of individual risk.
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Affiliation(s)
- M F Simoniello
- Cátedra de Toxicología, Farmacología y Bioquímica Legal, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina.
| | - L Contini
- Departamento de Matemática, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - E Benavente
- Servicio de Reumatología, Hospital Provincial Cullen, Santa Fe, Argentina
| | - C Mastandrea
- Cátedra de Toxicología, Farmacología y Bioquímica Legal, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - S Roverano
- Servicio de Reumatología, Hospital Provincial Cullen, Santa Fe, Argentina
| | - S Paira
- Servicio de Reumatología, Hospital Provincial Cullen, Santa Fe, Argentina
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Abstract
We recently introduced the concept of the infectome as a means of studying all infectious factors which contribute to the development of autoimmune disease. It forms the infectious part of the exposome, which collates all environmental factors contributing to the development of disease and studies the sum total of burden which leads to the loss of adaptive mechanisms in the body. These studies complement genome-wide association studies, which establish the genetic predisposition to disease. The infectome is a component which spans the whole life and may begin at the earliest stages right up to the time when the first symptoms manifest, and may thus contribute to the understanding of the pathogenesis of autoimmunity at the prodromal/asymptomatic stages. We provide practical examples and research tools as to how we can investigate disease-specific infectomes, using laboratory approaches employed from projects studying the “immunome” and “microbiome”. It is envisioned that an understanding of the infectome and the environmental factors that affect it will allow for earlier patient-specific intervention by clinicians, through the possible treatment of infectious agents as well as other compounding factors, and hence slowing or preventing disease development.
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Al-Maini M, Jeyalingam T, Brown P, Lee JJY, Li L, Su J, Gladman DD, Fortin PR. A Hot Spot for Systemic Lupus Erythematosus, but Not for Psoriatic Arthritis, Identified by Spatial Analysis Suggests an Interaction Between Ethnicity and Place of Residence. ACTA ACUST UNITED AC 2013; 65:1579-85. [DOI: 10.1002/art.37897] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2012] [Accepted: 01/29/2013] [Indexed: 11/10/2022]
Affiliation(s)
| | - Thurarshen Jeyalingam
- Toronto Western Research Institute, Toronto, Ontario, Canada, and Queen's University; Kingston; Ontario; Canada
| | - Patrick Brown
- Cancer Care Ontario and University of Toronto; Toronto; Ontario; Canada
| | - Jennifer J. Y. Lee
- Toronto Western Research Institute, Toronto, Ontario, Canada, and Queen's University; Kingston; Ontario; Canada
| | - Lennon Li
- University of Toronto; Toronto; Ontario; Canada
| | - Jiandong Su
- Toronto Western Research Institute; Toronto; Ontario; Canada
| | - Dafna D. Gladman
- Toronto Western Research Institute; University Health Network, and University of Toronto; Toronto; Ontario; Canada
| | - Paul R. Fortin
- Toronto Western Research Institute; University Health Network, and University of Toronto; Toronto; Ontario; Canada
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Bogdanos DP, Smyk DS, Invernizzi P, Rigopoulou EI, Blank M, Pouria S, Shoenfeld Y. Infectome: a platform to trace infectious triggers of autoimmunity. Autoimmun Rev 2012; 12:726-40. [PMID: 23266520 PMCID: PMC7105216 DOI: 10.1016/j.autrev.2012.12.005] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2012] [Accepted: 12/12/2012] [Indexed: 02/06/2023]
Abstract
The "exposome" is a term recently used to describe all environmental factors, both exogenous and endogenous, which we are exposed to in a lifetime. It represents an important tool in the study of autoimmunity, complementing classical immunological research tools and cutting-edge genome wide association studies (GWAS). Recently, environmental wide association studies (EWAS) investigated the effect of environment in the development of diseases. Environmental triggers are largely subdivided into infectious and non-infectious agents. In this review, we introduce the concept of the "infectome", which is the part of the exposome referring to the collection of an individual's exposures to infectious agents. The infectome directly relates to geoepidemiological, serological and molecular evidence of the co-occurrence of several infectious agents associated with autoimmune diseases that may provide hints for the triggering factors responsible for the pathogenesis of autoimmunity. We discuss the implications that the investigation of the infectome may have for the understanding of microbial/host interactions in autoimmune diseases with long, pre-clinical phases. It may also contribute to the concept of the human body as a superorganism where the microbiome is part of the whole organism, as can be seen with mitochondria which existed as microbes prior to becoming organelles in eukaryotic cells of multicellular organisms over time. A similar argument can now be made in regard to normal intestinal flora, living in symbiosis within the host. We also provide practical examples as to how we can characterise and measure the totality of a disease-specific infectome, based on the experimental approaches employed from the "immunome" and "microbiome" projects.
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Affiliation(s)
- Dimitrios P Bogdanos
- Institute of Liver Studies, King's College London School of Medicine at King's College Hospital, Denmark Hill Campus, London, UK.
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Residential pesticide usage in older adults residing in Central California. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2011; 8:3114-33. [PMID: 21909294 PMCID: PMC3166730 DOI: 10.3390/ijerph8083114] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2011] [Revised: 07/06/2011] [Accepted: 07/20/2011] [Indexed: 12/24/2022]
Abstract
Information on residential pesticide usage and behaviors that may influence pesticide exposure was collected in three population-based studies of older adults residing in the three Central California counties of Fresno, Kern, and Tulare. We present data from participants in the Study of Use of Products and Exposure Related Behaviors (SUPERB) study (N = 153) and from community controls ascertained in two Parkinson’s disease studies, the Parkinson’s Environment and Gene (PEG) study (N = 359) and The Center for Gene-Environment Studies in Parkinson’s Disease (CGEP; N = 297). All participants were interviewed by telephone to obtain information on recent and lifetime indoor and outdoor residential pesticide use. Interviews ascertained type of product used, frequency of use, and behaviors that may influence exposure to pesticides during and after application. Well over half of all participants reported ever using indoor and outdoor pesticides; yet frequency of pesticide use was relatively low, and appeared to increase slightly with age. Few participants engaged in behaviors to protect themselves or family members and limit exposure to pesticides during and after treatment, such as ventilating and cleaning treated areas, or using protective equipment during application. Our findings on frequency of use over lifetime and exposure related behaviors will inform future efforts to develop population pesticide exposure models and risk assessment.
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