Evidence map›Paper›PMID 32709935›Full record

ArticleJournal of exposure science & environmental epidemiology2021

A feasibility study of metabolic phenotyping of dried blood spot specimens in rural Chinese women exposed to household air pollution.

Ruey Leng Loo, Qinwei Lu, Ellison M Carter, Si Liu, Sierra Clark, Yulan Wang, Jill Baumgartner, Huiru Tang, Queenie Chan

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 6 countries.

Ruey Leng LooCentre for Computational and Systems Medicine, Institute of Health Futures, Murdoch University, Perth, WA, Australia.ORCID http://orcid.org/0000-0001-5307-5709
Qinwei LuState Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Fudan University, Shanghai, China.
Ellison M CarterDepartment of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA.
Si LiuState Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Fudan University, Shanghai, China.
Sierra ClarkInstitute for Health and Social Policy and Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada.
Yulan WangSingapore Phenome Centre, Lee Kong Chian School of Medicine, Nanyang Technological University, Experimental Medicine Building, Singapore, Singapore.
Jill BaumgartnerInstitute for Health and Social Policy and Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada.
Huiru TangState Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Fudan University, Shanghai, China. huiru_tang@fudan.edu.cn.
Queenie ChanDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. q.chan@imperial.ac.uk.
Chinese Academy of Sciences · CNMcGill University · CAColorado State University · USFudan University · CNMurdoch University · AUNanyang Technological University · SGNIHR Imperial Biomedical Research Centre · GB

Funding

Medical Research Council MR/L01341X/1Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

backgroundExposure-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.

methodsWe 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 vs. low pollution) and measured personal exposure to fine particulate matter <2.5 μm diameters (PM

resultsMetabolites 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.

conclusionsOur results provide a proof of principle that high-resolution metabolic phenotypic data can be generated using a simple DBS extraction method thus suitable for exposure studies in remote, low-resource settings where the collection of serum and plasma is logistically challenging or infeasible. The analytical run time (19 min/specimen) is similar to most global phenotyping methods and therefore suitable for large-scale application.

Indexed as

Air PollutantsAir PollutionAir Pollution, IndoorChinaCookingEnvironmental ExposureFeasibility StudiesFemaleHumansLongitudinal StudiesParticulate MatterReproducibility of ResultsRural PopulationAir PollutantsParticulate MatterBiomass-related air pollutionDried blood spotExposomeMetabonomics/metabolomics/metabolic phenotypingMolecular epidemiological studyPM2.5

Identifiers

PMID32709935
OpenAlexW3044746939

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.