The primary objective is to improve prediction of individual disease risk related to air pollution, by characterizing the internal and external exposome related to air pollution in Europe. The specific research questions are:1. Can novel biomarkers…
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Brief title
Condition
- Other condition
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Health condition
Biomarkers of response
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
PEM measurements:
Personal monitoring includes particles smaller than 2.5 µm (PM2.5), the soot
content of PM2.5 (marker for diesel emissions) and ultrafine particles (UFP,
particulates less than 1 µm). BGI PM2.5 cyclones will be used to collect PM2.5
on a Teflon filter over 24h (van Roosbroeck, 2008). Filters will be weighed to
assess ambient PM2.5 concentrations and filter reflectance will be measured to
assess soot levels using procedures of the ESCAPE study (Eeftens, 2012). The
DiSCMini will be used to measure UFP continuously. At the same time, subjects
will carry a belt with a Samsung Galaxy S3 mobile phone with a project
developed application to log location and physical activity at 1 second
intervals, obtained from the telephone*s internal GPS and Accelerometer. For
validation, a regular GPS to track location and an Accelerometer to track
physical activity will be used as well. The GPS device will be a Trac King GPS
tracker, logging GPS coordinates at 1 second intervals. Actigraph ActiSleep+
Wireless motion sensors will be used for activity measurements, logging
activity at 1 second intervals.
Biological samples:
Blood sample collection
20 ml of whole blood, divided over 3 tubes, will be collected by the standard
phlebotomy technique of venipuncture of forearm veins. 10ml will be collected
in one EDTA tube, 5 ml will be collected in a Serum tube, and 5 ml will be
collected in a PAX-tube.
After processing, OMIC analyses will be assessed on the freshly collected
samples and on archived blood samples, obtained from the EPIC-NL biobank.
Buccal scrapes and Nasal Swabs
Since the mouth or the nose are target organs, direct or intermediate responses
to air pollution may be detectable in these organs. Therefore, buccal scrape
samples will be collected with a special designed sterile plastic scraper and
nasal swab samples will be collected from each nostril with a sterile nasal
swab. Samples will be analyzed for:
- RNA expression
- DNA methylation
Buccal scrapes are collected by scraping the inside of the cheek, towards the
rear of the mouth, with a patented small plastic device. From each cheek, one
sample is collected by going 10 times from top to bottom with a scraper. The
straight portion of the scraper is broken and stored in separate Eppendorf
vials containing preservation fluid. This procedure has been previously applied
in the Asia Lung Study and Nano Exposure study in which IRAS, Utrecht
University participates.
Nasal swabs are collected by swabbing the inside of the nostril with a small
floss tip swab. From each nostril, one sample is collected by twisting the swab
inside the back of the nose (lower turbinate) for 5 seconds. The tip of the
swab is snipped and stored in separate Eppendorf vials containing preservation
fluid. This procedure is previously applied in the Asia Lung Study, and Nano
Exposure study in which IRAS, Utrecht University participates.
OMICS analyses:
Metabolomics analysis will be performed to identify novel biomarkers that
reflect exposure to a large diversity of pollutants, contributing to an
understanding of how exposures to air pollution is mechanistically related to
adverse health outcomes. The adductome will be analyzed on a non-targeted
investigation of the internal exposome based on measurement of human serum
albumin (HSA) adductomes for 1) identification of particular HSA adducts
associated with known pollution sources followed by 2) measurements of
identified adducts in human samples. Transcriptomics, Epigenomics, and
Proteomics will contribute to the characterization of the internal exposome,
and its relationship with the external exposome. This is done by applying a
series of omics technology platforms to bio-samples for which data of the
external exposome, the air pollution data, will be measured. In addition to
contributing to the discovery of novel biomarkers of environmental exposure or
risk of health effects, Transcriptomics, Epigenomics, and Proteomics,
describing multiple levels of cellular function, will provide mechanistic
information of value in establishing cause-effect relationships.
Secondary outcome
Home Outdoor measurements:
Air monitors will be used to measured air pollution at the subject*s home
address. This is allowing a comparison between measured outdoor and personal
exposure and a comparison between modelled and measured home outdoor
concentrations. The modeled home outdoor concentrations will be calculated
based in models, previously developed in the ESCAPE project.
Biological samples:
Blood pressure measurements
Blood pressure will be measured after each PEM session using automatic blood
pressure meters (Omron M6, Omron Healthcare Europe BV, Hoofddorp, the
Netherlands) according to the recommendations of the American Heart Association
(Pickering et al., 2005). The cuff (an adjustable pre-shaped cuff of 22-42 cm,
dependent on the mid-upper arm circumference) will be placed at the
non-dominant arm. Systolic and diastolic blood pressure will be measured at
least two times with 5 minutes intervals according to a standard protocol while
the subject is seated. Only if there are two reproducible measurements
(difference < 5 mmHg), the mean of the measurements will be used in the
analyses.
Spirometry data:
FVC, FEV1, MEF, MMEF and PEF will be measured after each PEM session using the
EASYONE Spirometer (ndd Medical Technologies, Zurich, Switzerland) (Boogaard,
2013). Calibration will be checked daily. At least three manoeuvres will be
performed per person, and the best values from the technically correct
manoeuvres will be selected according to European Respiratory Society criteria.
Height measurement
Height measurements will be performed after the first PEM session using a ruler
(up to 220cm). Subject*s body height will be measured after taking off shoes at
a 1cm accuracy. Height data will be used for general anthropometrics and for
spirometry preparations.
Seated height measurement
Seated height will be measured after the first PEM session using a ruler (up to
220cm). Subject*s torso height will be measured after sitting down on a chair
at a 1cm accuracy. Subsequently, the height of the seat will be measured.
Seated height data will be used for general anthropometrics and for spirometry
preparations.
Weight measurement
Weight measurements will be performed after the first PEM session using a scale
(up to 150kg). Subject*s body weight will be measured after taking off shoes at
a 1kg accuracy. Weight data will be used for general anthropometrics and for
spirometry preparations.
Background summary
EXPOsOMICS is a multicenter study, performed in 5 study areas in Italy, Spain,
Switzerland, the United Kingdom and the Netherlands from the end of 2013 until
the end of 2014. Every center will perform the same Personal Exposure
Monitoring (PEM) procedures, followed by biological sample collection. The
EXPOsOMICS study will be performed in a subsample of an existing cohort, where
a blood sample is available from the moment of cohort inclusion.
This application for the Medical Ethical Committee covers the procedures in the
Netherlands, where the Institute for Risk Assessment Sciences (IRAS), part of
Utrecht University, is the only center involved in implementation of the study.
Subjects will be recruited from the cohorts EPIC-Morgen and EPIC-Prospect,
together referred as EPIC-NL.
A considerable number of longitudinal cohorts in both children and adults have
explored associations between non-genetic risk factors and health outcomes
using detailed information on major risk factors, confounders, and health
outcomes (Brunekreef, 2002; Van Roosbroeck, 2008a; Van Roosbroeck, 2008b;
Kaufman, 2012). The assessment of environmental exposure in such studies is
often not optimal resulting in uncertainties in the quantification of exposure
and associated health risks. The quality of exposure assessment approaches can
be improved by improving the quality of traditional approaches focused on
assessment of concentrations in the environment (air, water). In addition,
assessment of biological markers that reflect the human body*s response to
exposure might contribute as well.
The exposome concept, which refers to the comprehensive description of lifelong
environmental (i.e. non-genetic) exposure history, has been proposed to draw
attention to the critical need for more complete environmental exposure
assessment in epidemiological studies (Wild, 2005; Rappaport, 2010; Wild,
2011). The exposome refers to the individual exposure to multiple stressors in
critical periods of life. The current challenge is to apply the concept in
observational studies (Wild, 2011), as exposures are difficult to characterize
since they significantly vary in space and time.
This project is designed to move the field forward by collecting data on the
individual external exposome (by repeated personal exposure monitoring of key
pollutants including real-time monitoring of activity and location) and the
individual internal exposome (by profiling large sets of biological molecules
for new and integrated biomarkers), in relationship to air pollution exposure.
To improve quality of assessment of relationships, differences in short-term
perturbations and long-term or natural progression in biomarker levels will be
analyzed using an archived blood sample, requested from the cohort*s biobank.
Developed tools will improve the quality of air pollution exposure estimates
for epidemiological studies, eventually resulting in reduced uncertainty in
disease risk assessment.
This study is among the first attempts to apply the exposome concept in large
scale human studies. A unique feature of the project is the integration of both
external and internal detailed measurements. Though personal monitoring studies
have been performed before (Kaur, 2005; Briggs, 2008; Boogaard, 2010; Dons,
2012), there are very few on assessing long-term air pollution exposures
(Aldgate, 2007; Van Roosbroeck, 2007) and none that included ultrafine
particles (UFPs).
This multidisciplinary study will create significant new information regarding:
1. Validity of standard exposure assessment approaches in assessing individual
exposure to key air pollutants, including ultrafine particles
2. Relationships between external and internal markers of exposures, resulting
in potential new biomarkers of air pollution exposure
3. Acute effects of air pollution through more detailed exposure assessment
Study objective
The primary objective is to improve prediction of individual disease risk
related to air pollution, by characterizing the internal and external exposome
related to air pollution in Europe. The specific research questions are:
1. Can novel biomarkers of exposure for major outdoor air pollutants be
identified through characterization of the internal exposome using untargeted
OMIC analyses (corrected for variations in OMIC levels in archived blood sample
from cohort*s biobank, due to long-term or natural progression) and detailed
assessment of the external exposome using personal exposure monitoring?
2. Can novel biomarkers of exposure for major outdoor air pollutants be
identified in target tissue for air pollution, such as the nose and the mouth?
3. What is the agreement between modelled exposure to air pollution and
measured personal exposure of key particulate pollutants (external exposome)?
4. Does short-term exposure to outdoor air pollutants affect lung function and
blood pressure?
Study design
In the proposed study, forty (40) subjects from five European study areas will
perform three 24 hour Personal Exposure Monitoring (PEM) sessions, spread over
one year (total 160 adults and 40 children). In Italy, the Netherlands,
Switzerland and the United Kingdom adults from existing cohorts will be
included, whereas in Spain children will be included. In the remainder of this
protocol we will discuss only the four adult cohorts, focusing the Dutch
situation, since this application to the METC only covers work in the
Netherlands.
In the Netherlands forty (40) subjects, aged 50-70 , will be selected from the
EPIC-NL cohort, where a blood sample is available at study baseline (mid
1990*s).
All eligible volunteers, based on EPIC-NL records, will receive a Letter of
Recruitment (including study details and Letter of Agreement) and a Screening
Questionnaire (SQ). Interested volunteers will be asked to fill out the SQ and
the Letter of Agreement and send this back to IRAS, Utrecht University. Based
on data from the SQ, final eligibility will be concluded.
When eligible, subjects will be visited by a fieldworker (a) to determine
whether the subject is motivated to participate, (b) to explain the setup of
the study and show the backpack and belt with air monitors, (c) to answer the
subject*s questions. When the subject agrees with procedures, the subject will
fill out a Baseline Questionnaire (BQ). The fieldworker will record home and
outdoor characteristics in a Home Characterization Form (HCF) and an Outdoor
Characterization Form (OCF). When finishes, (provisional) appointments will be
made for all three 24h PEM sessions.
During a PEM session, a fieldworker will visit the subject*s home address to
distribute PEM devices. The subject will carry a backpack and a belt with PEM
monitors for fine and ultrafine particles for a period of 24 hours, while
performing daily activities. Simultaneously, the same set of air pollution
monitors will run outdoors at the subject*s home address. During the 24 hour
PEM session, the subject will fill out a PEM Session Questionnaire (PSQ) on
smoke and fine dust exposure, a Time-Activity Diary (TAD) on past 24h
activities and a Food Questionnaire (FQ) on food intake in the past 48h. At the
end of each PEM session, a nurse and a fieldworker will visit the subjects home
address. The nurse will collect a blood sample for OMIC analyses (20 ml),
perform a blood pressure measurement, a spirometry test and collect two buccal
scrapes, two nasal swabs, and health data in the Health Questionnaire (HQ). The
fieldworker will shut down and check PEM devices.
Biological samples will be transported to a center, processed and stored at -80
degrees Celsius.
When all PEM sessions are finished, fresh blood samples (used for long and
short-term perturbations of the biomarker response), archived blood sample from
the cohort*s biobank (used for correction for variations in biomarker levels
due to long-term or natural progression of the biomarker response), and buccal
scrapes and nasal swabs (to assess biomarker levels in target tissues) will be
sent for OMIC analysis. Metabolomics, Adductomics, Transcriptomics,
Epigenomics, and Proteomics analyses will be applied on these samples to detect
systemic biomarkers, relevant for air pollution exposure. All analyses for a
specific OMIC technology will be conducted in the same laboratory for all five
study areas.
Spirometry and blood pressure measurements will be conducted to get more
detailed information on direct respiratory and cardiovascular effects of air
pollution. These effect have been bescribed in literature, but the methods of
this study provides the opportunity to investigate these effects in more depth.
Study burden and risks
The healthy participants in this study may experience minor physiological
discomfort, related to the PEM sessions (n=3) or the collection of biological
samples (n=3, at the end of each PEM session). Performing the PEM sessions may
cause slight discomfort because of the attention that is required to correctly
fulfill the carrying of the pumps, but previous studies including up to six
repeats have not identified this as an important issue. Collecting blood may be
unpleasant, and may provoke a hematoma that usually disappears fast. The risk
associated to collecting blood is small. Performing spirometry may induce short
term dizziness, because a maximal respiratory effort is made. Symptoms usually
disappear fast.
The collection of cells from the nose and the mouth can cause a mild
irritation. This usually disappears fast and does not lead to any health risk
for the subject.
Subjects* privacy will be guarded by storing the data encrypted on a protected
server at IRAS. A unique Subject ID, consisting of a 3 number code, is created
for each eligible volunteer, based in SQ data. Personal information from the
Letter of Agreement will be processed at IRAS, protected by professional
secrecy. The Subject ID will be used for all computer files, forms, tubes and
filters. Researchers and fieldworkers, performing measurements, processing
samples or analyzing filters, will not have the possibility to trace subject*s
name or home address. When samples are shipped to partners, again only the
Subject ID will be used on all files and tubes. Individual data will under no
circumstances be communicated. Procedures are in place to ensure compliance
with professional secrecy and confidentiality. Each person involved in data
entry and analysis is bound to respect these rules.
Yalelaan 2
Utrecht 3584 CM
NL
Yalelaan 2
Utrecht 3584 CM
NL
Listed location countries
Age
Inclusion criteria
Subject is enrolled in the EPIC-NL cohort or lives close to a busy road
Subject enrolled in the EPIC-NL cohort has provided a baseline blood sample by the time of inclusion in the cohort (which is still available)
The EXPOsOMICS project obtained approval from EPIC-NL to contact participants via the cohort.
Exclusion criteria
Subject is younger than 50 years or over 70yrs of age by the time of performing the first monitoring session.
Subject is a smoker or ex-smoker (less than 6 months) since baseline of cohort inclusion.
Subject is currently living with a smoker or ex-smoker (less than 6 months).
Subject has a doctor diagnosed chronic disease (e.g. IHD, CVD, COPD, Asthma, Diabetes, Crohn).
Subject has/had cancer excluding non-melanoma skin cancer.
Subject is restricted in daily activities due to physical limitations.
Subject has a job that involves contact with diesel exhaust.
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
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CCMO | NL45499.041.13 |