A feasibility study of metabolic phenotyping of dried blood spot specimens in rural Chinese women exposed to household air pollution
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Background: Exposure-response studies and policy evaluations of household air pollution (HAP) are limited by current methods of exposure assessment which are expensive and burdensome to participants.
Methods: We collected 152 dried blood spot (DBS) specimens during the heating and non-heating seasons from 53 women who regularly used biomass-burning stoves for cooking and heating. Participants were enrolled in a longitudinal study in China. Untargeted metabolic phenotyping of DBS were generated using ultra-high performance liquid chromatography coupled with mass spectrometry to exemplify measurement precision and assessment for feasibility to detect exposure to HAP, evaluated by season (high pollution versus low pollution) and measured personal exposure to fine particulate matter <2.5µm diameters (PM) and black carbon (BC) in the 48-h prior to collecting the DBS specimen.
Results: Metabolites e.g., amino acids, acyl-carnitines, lyso-phosphorylcholines, sphinganine, and choline were detected in the DBS specimens. Our approach is capable of detecting the differences in personal exposure to HAP whilst showing high analytical reproducibility, coefficient of variance (CV) <15%, meeting the U.S. Food and Drug Administration criteria.
Conclusions: Our results provide a proof of principle that high resolution metabolic phenotypic data can be generated using a simple DBS extraction method thus remote, low-resource settings where the collection of serum and plasma is logistically challengingor infeasible. The analytical run time (19 mins/specimen) is similar to most global phenotyping methods and therefore suitable for large-scale application.
Methods: We collected 152 dried blood spot (DBS) specimens during the heating and non-heating seasons from 53 women who regularly used biomass-burning stoves for cooking and heating. Participants were enrolled in a longitudinal study in China. Untargeted metabolic phenotyping of DBS were generated using ultra-high performance liquid chromatography coupled with mass spectrometry to exemplify measurement precision and assessment for feasibility to detect exposure to HAP, evaluated by season (high pollution versus low pollution) and measured personal exposure to fine particulate matter <2.5µm diameters (PM) and black carbon (BC) in the 48-h prior to collecting the DBS specimen.
Results: Metabolites e.g., amino acids, acyl-carnitines, lyso-phosphorylcholines, sphinganine, and choline were detected in the DBS specimens. Our approach is capable of detecting the differences in personal exposure to HAP whilst showing high analytical reproducibility, coefficient of variance (CV) <15%, meeting the U.S. Food and Drug Administration criteria.
Conclusions: Our results provide a proof of principle that high resolution metabolic phenotypic data can be generated using a simple DBS extraction method thus remote, low-resource settings where the collection of serum and plasma is logistically challengingor infeasible. The analytical run time (19 mins/specimen) is similar to most global phenotyping methods and therefore suitable for large-scale application.
Date Issued
2021-03-01
Date Acceptance
2020-06-05
Citation
Journal of Exposure Science and Environmental Epidemiology, 2021, 31, pp.328-344
ISSN
1559-0631
Publisher
Springer Nature [academic journals on nature.com]
Start Page
328
End Page
344
Journal / Book Title
Journal of Exposure Science and Environmental Epidemiology
Volume
31
Copyright Statement
© The Author(s) 2020. This article is published with open access.
Sponsor
MRC-PHE Centre for Environment and Health, Imperial College London, UK
Grant Number
Pump-Priming Project
Subjects
Science & Technology
Life Sciences & Biomedicine
Environmental Sciences
Public, Environmental & Occupational Health
Toxicology
Environmental Sciences & Ecology
Dried blood spot
Exposome
Metabonomics
metabolomics
metabolic phenotyping
Molecular epidemiological study
Biomass-related air pollution
PM2
5
COMPARATIVE RISK-ASSESSMENT
MASS-SPECTROMETRY
GLOBAL BURDEN
URIC-ACID
METABONOMICS
ASSOCIATION
INFECTIONS
VALIDATION
PRESSURE
OUTDOOR
Biomass-related air pollution
Dried blood spot
Exposome
Metabonomics/metabolomics/metabolic phenotyping
Molecular epidemiological study
PM2.5
Epidemiology
03 Chemical Sciences
05 Environmental Sciences
11 Medical and Health Sciences
Publication Status
Published
Date Publish Online
2020-07-24