Evidence map›Paper›PMID 41282846›Full record

ArticlemedRxiv : the preprint server for health sciences2025

A Flexible and Responsive Remote Study Design to Assess Gene Expression Changes During Wildfire Smoke Exposure with homeRNA, an At-home Blood Sampling Kit.

A J Haack, L G Brown, Y Zeng, T Khan, I H Robertson, D S Kennedy, K N Adams, J W MacDonald, T K Bammler, F Stefanovic and 11 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

A J HaackDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-0066-7556
L G BrownDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-5932-2691
Y ZengDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-3751-2013
T KhanThe Jackson Laboratory for Genomic Medicine, Farmington, CT, United States.ORCID 0000-0002-7917-8965
I H RobertsonDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0009-0008-4217-4777
D S KennedyDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-9072-7064
K N AdamsDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-7457-0175
J W MacDonaldDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
T K BammlerDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
F StefanovicDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
K MoloneyVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States.
J E StolarczukSchool of Medicine, University of Washington, Seattle, Washington 98195, United States.
M G TakezawaDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
M Y AlizaiDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
G W HassanDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
F Y LimDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0001-7406-2317
D ChaussabelThe Jackson Laboratory for Genomic Medicine, Farmington, CT, United States.ORCID 0000-0002-6131-7242
E G WalkerDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
N A ErrettDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-8247-8336
E BerthierDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-4421-9034
A B ThebergeDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-3394-1435

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
Theberge Admin Supp Undergraduate Summer Research ExperiencesR35GM128648 · NIGMS · UNIVERSITY OF WASHINGTON · PI Ashleigh Brooks Theberge · 2018 to 2026
$4.7M
Assessing the interplay between stress, health, behavior, and inflammatory gene expression response to wildfire smoke exposures using community engaged and remote sampling approaches - Brown Div SuppR21ES034338 · NIEHS · UNIVERSITY OF WASHINGTON · PI ERRETT, NICOLE ANN, THEBERGE, ASHLEIGH BROOKS · 2022 to 2023
$544k
NCATS NIH HHS TL1 TR002318NCATS NIH HHS UL1 TR002319NIEHS NIH HHS P30 ES007033NIEHS NIH HHS R21 ES034338NIGMS NIH HHS R35 GM128648
6 · The paper itself

Abstract

Transcriptomic responses to wildfire smoke are difficult to study given the unpredictability of wildfires and the challenges of collecting blood during active disasters. To overcome these challenges, we developed a flexible study design leveraging homeRNA, our at-home blood collection and RNA stabilization kit. Between June 2021 and April 2022, 58 participants across 10 U.S. states collected 635 blood samples before, during, and after wildfire events. This responsive approach captured three exposure groups: high exposure in Okanogan County, Washington, medium exposure from transported smoke, and low exposure. During the 10-month study, 93% of participants (n=54/58) returned at least 6 samples. In a preliminary exploratory analysis, we analyzed 770 genes with a Nanostring panel from nine participants (6 high, 3 low-medium exposure) using the BloodGen3 framework. In the high exposure participants, we observed trends toward overexpression of inflammation (inflammation aggregates A33 and A35, and modules M13.1 and M13.12), with concurrent underexpression of adaptive immune responses (lymphocytic aggregates A1 and A6, B cell module M13.18, T cell modules M16.24 and M15.38). This study establishes that homeRNA enables flexible, responsive sampling during disasters, overcoming traditional logistical barriers to capture time-sensitive biological data across dispersed populations.

Identifiers

PMID41282846
PMCPMC12633109

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.