Evidence map›Paper›PMID 30315209›Full record

ReviewNature reviews. Urology2018

Community profiling of the urinary microbiota: considerations for low-biomass samples.

Lisa Karstens, Mark Asquith, Vincent Caruso, James T Rosenbaum, Damien A Fair, Jonathan Braun, W Thomas Gregory, Rahel Nardos, Shannon K McWeeney

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

75 citing papers in PubMed, 127 citations in OpenAlex.

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15 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Lisa KarstensDivision of Bioinformatics and Computational Biology, Oregon Health & Science University, Portland, OR, USA. karstens@ohsu.edu.
Mark AsquithDivision of Arthritis and Rheumatic Diseases, Oregon Health & Science University, Portland, OR, USA.
Vincent CarusoDivision of Bioinformatics and Computational Biology, Oregon Health & Science University, Portland, OR, USA.
James T RosenbaumDivision of Arthritis and Rheumatic Diseases, Oregon Health & Science University, Portland, OR, USA.
Damien A FairDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA.
Jonathan BraunDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
W Thomas GregoryDivision of Urogynecology, Oregon Health & Science University, Portland, OR, USA.
Rahel NardosDivision of Urogynecology, Oregon Health & Science University, Portland, OR, USA.
Shannon K McWeeneyDivision of Bioinformatics and Computational Biology, Oregon Health & Science University, Portland, OR, USA.
Oregon Health & Science University · USAdvanced Imaging Research (United States) · USUniversity of California, Los Angeles · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Using polygenic scores to enhance both variant discovery, and understanding of functional consequences of genetic variation in IBD.P01DK046763 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI TARGAN, STEPHAN R. · 1992 to 2020
$31.1M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
Scholars in Women's Health Research Across the LifespanK12HD043488 · NICHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI MYATT, LESLIE · 2002 to 2023
$10.4M
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASDR01MH096773 · NIMH · UNIVERSITY OF MINNESOTA · PI DOSENBACH, NICO, FAIR, DAMIEN A · 2012 to 2024
$9.4M
Brain trajectories in ADHDR01MH115357 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI FAIR, DAMIEN A, NIGG, JOEL T · 2017 to 2021
$3.8M
Intergenerational Effects of Maternal Childhood Trauma on the Fetal BrainR01MH105538 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BUSS, CLAUDIA, FAIR, DAMIEN A · 2015 to 2019
$3.5M
The Gut Microbiome and HLA B27-associated Acute Anterior UveitisR01EY029266 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI ROSENBAUM, JAMES T · 2018 to 2021
$1.5M
Functional Circuits as an Endophenotype for ADHD in ChildrenR00MH091238 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI FAIR, DAMIEN A · 2011 to 2013
$723k
Functional Considerations of the Urinary Microbiome in Overactive BladderK01DK116706 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI KARSTENS, LISA ANNE · 2018 to 2021
$545k
NCATS NIH HHS U24 TR002306NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR002369NCI NIH HHS P30 CA016042NEI NIH HHS R01 EY029266NICHD NIH HHS K12 HD043488NIDDK NIH HHS K01 DK116706NIDDK NIH HHS P01 DK046763NIMH NIH HHS R00 MH091238NIMH NIH HHS R01 MH096773NIMH NIH HHS R01 MH105538NIMH NIH HHS R01 MH115357
6 · The paper itself

Abstract

Many studies have shown that the urinary tract harbours its own microbial community known as the urinary microbiota, which have been implicated in urinary tract disorders. This observation contradicts the long-held notion that urine is a sterile biofluid in the absence of acute infection of the urinary tract. In light of this new discovery, many basic questions that are crucial for understanding the role of the urinary microbiota in human health and disease remain unanswered. Given that the urinary microbiota is an emerging area of study, optimized techniques and protocols to identify microorganisms in the urinary tract are still being established. However, the low microbial biomass and close proximity to higher microbial biomass environments (for example, the vagina) present distinct methodological challenges for microbial community profiling of the urinary microbiota. A clear understanding of the unique technical considerations for obtaining and analysing low microbial biomass samples, as well the influence of key elements of experimental design and computational analysis on downstream interpretation, will improve our ability to interpret and compare results across methods and studies and is relevant for studies profiling the urinary microbiota and other sites of low microbial abundance.

Indexed as

MicrobiotaFemaleHigh-Throughput Nucleotide SequencingHumansMalePolymerase Chain ReactionUrinary BladderUrinary TractUrine Specimen Collection

Identifiers

PMID30315209
PMCPMC6352978
OpenAlexW2896211148

What OpenQuestion holds

Textmetadata
LicenceTDM
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.