Evidence map›Paper›PMID 41245078›Full record

ArticleACS bio & med chem Au2025

High-Throughput Microfluidic Technologies for Rapidly Screening Pollutant-Induced Cell Health Effects.

Blanca I Quiñones-Díaz, Niphattha Wongwiset, Pratik Kamat, Orian Stapleton, Sean M Engels, Matthew R Burroughs, S V Sreenivasan, Jude M Phillip, Lydia M Contreras

Abstract read
In one paragraph

Article in ACS bio & med chem Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Blanca I Quiñones-DíazMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Niphattha WongwisetDepartment of Mechanical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Pratik KamatDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Orian StapletonDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Sean M EngelsMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.ORCID https://orcid.org/0000-0002-4866-6050
Matthew R BurroughsMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
S V SreenivasanDepartment of Mechanical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Jude M PhillipDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Lydia M ContrerasMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.ORCID https://orcid.org/0000-0001-5010-5511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution exposure is linked to diseases spanning multiple physiological systems. However, environmental stress is overwhelmingly associated with several lung diseases. Since the chemical composition of air pollutants varies widely across geographical locations, research on how specific components in pollutant mixtures contribute to cellular dysfunction is needed. In this work, we utilized microscopy-based morphological profiling as a tool to assess the cellular susceptibility to pollutants. Through our analysis, we established morphological profiles of formaldehyde-exposed cells that showed dose-dependent shifts in cell shape profiles correlating with overall cell health. As a real-world proof-of-concept validation, we evaluated the differences in particulate matter (PM) composition across multiple geographical areas, including both urban and suburban communities in Austin, Texas, USA. Data from this real-world study was used to inform a multicombinatorial study involving metals, selenium (Se) and manganese (Mn), which were differentially abundant across PM collection sites. As proof of concept to demonstrate the potential of establishing low-cost, high-throughput combinatorial screening of the biological effects of these metals, we incorporated microfluidic technology to simultaneously generate variable two-component metal mixtures in a multiwell plate format that enabled microscopy-based morphological screening as a proxy for toxicity. Combinatorial analysis of Se and Mn showed dynamic cell responses across a range of concentrations. Interestingly, exposure mixtures containing both Se and Mn yielded healthier cellular phenotypes relative to Se exposure as a single component. These results demonstrate the development of a high-throughput pipeline to detect dynamic biological responses to common air pollutants. Leveraging multiple technologies, we demonstrate the feasibility of a cost-effective approach that can serve as a starting point to inform focused screenings and studies of air pollutant mixtures that affect health outcomes.

Indexed as

lung cellsmicrofluidicmorphologyparticulate matterpollution

Identifiers

PMID41245078
PMCPMC12617457

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.