Evidence map›Paper›PMID 39149494›Full record

ArticleResearch square2024

Evaluating urine volume and host depletion methods to enable genome-resolved metagenomics of the urobiome.

Zachary J Lewis, Angela Scott, Christopher Madden, Dean Vik, Ahmed A Zayed, Garrett J Smith, Sheryl S Justice, Adam Rudinsky, Jessica Hokamp, Vanessa L Hale

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In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 · Who and what money

Authors and funding

10 authors.

Zachary J LewisDepartment of Veterinary Preventive Medicine, The Ohio State University.
Angela ScottDepartment of Veterinary Preventive Medicine, The Ohio State University.
Christopher MaddenDepartment of Veterinary Preventive Medicine, The Ohio State University.
Dean VikCenter of Microbiome Science, The Ohio State University.
Ahmed A ZayedDepartment of Microbiology, The Ohio State University.
Garrett J SmithCenter of Microbiome Science, The Ohio State University.
Sheryl S JusticeCollege of Nursing, The Ohio State University.
Adam RudinskyDepartment of Veterinary Clinical Sciences, The Ohio State University.
Jessica HokampDepartment of Veterinary Biosciences, The Ohio State University.
Vanessa L HaleDepartment of Veterinary Preventive Medicine, The Ohio State University.

Funding

Bladders and biomes: Environmental compounds as modifiers of microbiomes, metabolomes, and urotheliumK08ES034821 · NIEHS · OHIO STATE UNIVERSITY · PI Vanessa L Hale · 2023 to 2026
$668k
NIEHS NIH HHS K08 ES034821
6 · The paper itself

Abstract

Background: The gut microbiome has emerged as a clear player in health and disease, in part by mediating host response to environment and lifestyle. The urobiome (microbiota of the urinary tract) likely functions similarly. However, efforts to characterize the urobiome and assess its functional potential have been limited due to technical challenges including low microbial biomass and high host cell shedding in urine. Here, to begin addressing these challenges, we evaluate urine sample volume (100 ml - 5 mL), and host DNA depletion methods and their effects on urobiome profiles in healthy dogs, which are a robust large animal model for the human urobiome. We collected urine from seven dogs and fractionated samples into aliquots. One set of samples was spiked with host (canine) cells to model a biologically relevant host cell burden in urine. Samples then underwent DNA extraction followed by 16S rRNA gene and shotgun metagenomic sequencing. We then assembled metagenome assembled genomes (MAGs) and compared microbial composition and diversity across groups. We tested six methods of DNA extraction: QIAamp BiOstic Bacteremia (no host depletion), QIAamp DNA Microbiome, Molzym MolYsis, NEBNext Microbiome DNA Enrichment, Zymo HostZERO, and Propidium Monoazide. Results: In relation to urine sample volume, Conclusions: This is the first study, to our knowledge, to demonstrate environmental chemical degradation potential in urine microbes through genome-resolved metagenomics. These findings provide guidelines for studying the urobiome in relation to sample volume and host depletion, and lay the foundation for future evaluation of urobiome function in relation to health and disease.

Indexed as

canineDNA extractiongenome-resolved metagenomicshost depletionlow biomassMicrobiomeUrineUrobiome

Identifiers

PMID39149494
PMCPMC11326377

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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.