{"doc_desc":{"title":"Baseline values, between and within subject variability of non-invasive biomarkers of inflammation and oxidative stress","idno":"DDI-Systematic-Review-biomarker-stress-V1","version_statement":{"version":"Version 1.0 (July 2019)"}},"study_desc":{"title_statement":{"idno":"DDI-Systematic-Review-biomarker-stress-V1","title":"Baseline values, between and within subject variability of non-invasive biomarkers of inflammation and oxidative stress"},"authoring_entity":[{"name":"Guseva Canu, Irina","affiliation":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland"},{"name":"Hopf, Nancy","affiliation":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland"}],"oth_id":[{"name":"","affiliation":"Lausanne University Hospital (CHUV)","email":"","role":""},{"name":"","affiliation":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland","email":"","role":"Metadata XML document creator"}],"production_statement":{"producers":[{"name":"Hemmendinger, Maud","affiliation":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland","role":"Researcher"},{"name":"Graille, M\u00e9lanie","affiliation":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland","role":"Researcher"},{"name":"Wild, Pascal","affiliation":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland","role":"Researcher"}],"copyright":"(c) 2019, Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland","funding_agencies":[{"name":"European Union, Project NanoExplore (Grant N\u00b0 LIFE17 ENV\/GR\/000285)","abbreviation":"","role":"Funder"},{"name":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland","abbreviation":"Unisant\u00e9","role":"Funder"}],"grant_no":"LIFE17 ENV\/GR\/000285"},"distribution_statement":{"contact":[{"name":"Hemmendinger, Maud (first author)","affiliation":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland","email":"maud.hemmendinger@unisante.ch","uri":""},{"name":"Racine, C\u00e9line - for technical issue only (Unit of Documentation and Data, DFRI, Unisant\u00e9)","affiliation":"Center for Primary Care and Public Health (Unisant\u00e9), University of Lausanne, Switzerland","email":"celine.racine@chuv.ch","uri":""}]},"series_statement":{"series_name":"Systematic literature review and meta-analysis."},"version_statement":{"version":"Version 1.0"},"study_info":{"keywords":[{"keyword":"Oxidative stress","vocab":"","uri":""},{"keyword":"inflammation","vocab":"","uri":""},{"keyword":"biomarkers","vocab":"","uri":""},{"keyword":"8-hydroxy-2-deoxyguanosine","vocab":"","uri":""},{"keyword":"8-isoprostane","vocab":"","uri":""},{"keyword":"malondialdehyde","vocab":"","uri":""},{"keyword":"urine","vocab":"","uri":""},{"keyword":"exhaled breath condensate","vocab":"","uri":""}],"abstract":"In the field of engineered nanomaterials (ENMs) exposure biomonitoring, oxidative stress biomarkers measured in urine and exhaled breath condensate (EBC) appear promising to detect early effects. However, baseline values for the oxidative stress biomarkers are still not known. For human biomonitoring, different matrices can be used. Blood seems to be the ideal matrix for most chemicals but has an important disadvantage of being invasive. Our matrices permit a non-invasive biomonitoring. \nWe focus on four oxidative stress biomarkers: 8-OHdG, 8-isoprostane, malondialdehyde and H2O2. These biomarkers seems to be the most relevant for biomonitoring and for detecting early effects in workers handling ENMs. \nA systematic literature review was performed to determine the baseline values of these biomarkers in urine and EBC in a healthy non-smoking adult (\u226518 years) population. Searches were conducted for literature published since journal inception and up to April 2019 in the following bibliographic electronic databases: The Cochrane Central Register of controlled Trials, EMBASE, PubMed, and Web of Science. Two reviewers screened the titles and abstracts with disagreements resolved by consensus. The full-text review and the data extraction are ongoing. \nA meta-analysis will be performed for each biomarker. As most of the selected studies include few participants and use non-standardized analytical methods, the results need to be harmonized to be able to establish baselines values and inter \/ intra individual variations. \nWe plan to carry out subgroup analysis by gender, by age and by country of origin. In addition, subgroup analyses will be done for people with respiratory diseases (COPD, asthma, lung cancer), for smokers and for workers exposed to ENMs.To our knowledge, this systematic review is the first providing baseline values for these four oxidative stress biomarkers. It is essential for enabling meaningful interpretation of the results from biomonitoring programs conducted in occupational and environmental settings.","coll_dates":[{"start":"2019-04-01","end":"2020-07-01","cycle":""}],"nation":[{"name":"Switzerland","abbreviation":"CHE"}],"universe":"Healthy non-smoking adults (\u226518 years) of both sexes.","data_kind":"Text data \/ Systematic review requests"},"method":{"data_collection":{"coll_mode":"Bibliographic electronic databases: The Cochrane Central Register of controlled Trials (CENTRAL, Cochrane Library), EMBASE, PubMed, and Web of Science.","cleaning_operations":"Two reviewers will independently performed in Rayyan QCRI a first screening of titles and abstracts retrieved during the searches. Abstracts that have provided insufficient information with regard to the inclusion and exclusion criteria will be retained and downloaded in the EndNote software for full-text analysis and re-assessed by two researchers independently. In case of disagreement on the inclusion\/exclusion of one or more papers, the two reviewers will discuss their points of view; if no consensus is reached a third reviewer is consulted. This process allows to finalize the list of studies to be included in the review. Throughout this process, A PRISMA (Preferred Reporting Items for systematic Reviews and Meta-Analyses) flow diagram will be completed.\n\nA data extraction form will be designed in advance according to the research objectives and contents of the articles. It will be tested by two independent researchers and validated by a statistician with strong experience in meta-analysis. \nTwo researchers will independently extract and check the published data. \nThe information extracted will be as follows: first author name, publication time, study type, analytic method, the sample time, the number of participants, the gender, the mean age, the mean BMI, their smoking status, season, occupation, pregnancy, diet, vitamin, exercise, outcomes, references, DOI."}},"data_access":{"dataset_use":{"cit_req":"Maud Hemmendinger, M\u00e9lanie Graille, Pascal Wild, Nancy Hopf, Irina Guseva Canu. Baseline values, between and within subject variability of non-invasive biomarkers of inflammation and oxidative stress: a systematic literature review and meta-analysis. Center for primary care and public health (unisant\u00e9), University of Lausanne, Switzerland. Version 1.0 of the licensed dataset (July 2019), provided by the IUMSP Research Data Repository. DOI:10.16909\/DATASET\/17","conditions":"Open datasets, accessible without any restrictions","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey"}