Evidence map›Paper›PMID 39394219›Full record

ArticleScientific reports2024

A deployable film method to enable replicable sampling of low-abundance environmental microbiomes.

Phoebe Mankiewicz Ledins, Elizabeth Z Lin, Chandrima Bhattacharya, Krystal J Godri Pollitt, Anna H Dyson, Elizabeth M Hénaff

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

6 authors.

Phoebe Mankiewicz LedinsYale School of Architecture, 180 York Street, New Haven, CT, 06511, USA. phoebe.mankiewicz@yale.edu.
Elizabeth Z LinYale School of Public Health, New Haven, CT, USA.
Chandrima BhattacharyaWeill Cornell Medicine, New York, NY, USA.
Krystal J Godri PollittYale School of Public Health, New Haven, CT, USA.
Anna H DysonYale School of Architecture, 180 York Street, New Haven, CT, 06511, USA.
Elizabeth M HénaffNew York University Tandon School of Engineering, New York, NY, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA016087
6 · The paper itself

Abstract

Urbanizing global populations spend over 90% of their time indoors where microbiome abundance and diversity are low. Chronic exposure to microbiomes with low abundance and diversity have demonstrated negative long-term impacts on human health. Sequencing-based analyses of environmental nucleic acids are critical to understanding the impact of the indoor microbiome on human health, however low DNA yields indoors, alongside sample collection and processing inconsistencies, currently challenge study replicability. This study presents a comparative assessment of a novel, passive, easily replicable sampling strategy using polydimethylsiloxane (PDMS) sheets alongside a representative swab-based collection protocol. Deployable, customizable PDMS films designed for whole-sample insertion into standardized extraction kits demonstrated 43% higher DNA yields per sample, and 76% higher yields per cm

Indexed as

MicrobiotaDimethylpolysiloxanesDNA, BacterialEnvironmental MicrobiologyEnvironmental MonitoringHumansSpecimen HandlingbaysilonDimethylpolysiloxanesDNA, BacterialDNA yieldExtraction efficiencyHigh-throughput sequencingIndoor microbiomePassive samplingPDMS

Identifiers

PMID39394219
PMCPMC11470061

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.