Evidence map›Paper›PMID 31896675›Full record

ArticleMolecular & cellular proteomics : MCP2020

Characterizing Patients with Recurrent Urinary Tract Infections in Vesicoureteral Reflux: A Pilot Study of the Urinary Proteome.

Dijana Vitko, Patricia S Cho, Stephen A Kostel, Shannon E DiMartino, Lily D Cabour, Matthew A Migliozzi, Tanya Logvinenko, Peter G Warren, John W Froehlich, Richard S Lee

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

10 authors at 1 institution in 1 country.

Dijana VitkoDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts.
Patricia S ChoDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts; Department of Urology, University of Massachusetts Medical School, Worcester, Massachusetts.
Stephen A KostelDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts.
Shannon E DiMartinoDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts.
Lily D CabourDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts.
Matthew A MigliozziDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts.
Tanya LogvinenkoDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts.
Peter G WarrenDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts.
John W FroehlichDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts.
Richard S LeeDepartment of Urology, Boston Children's Hospital, Boston, Massachusetts. Electronic address: richard.lee@childrens.harvard.edu.
Boston Children's Hospital · US

Funding

University of Massachusetts Center for Clinical and Translational ScienceKL2TR001455 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2015 to 2024
$5.0M
Research Training in Pediatric Urology/CHB T32T32DK060442 · NIDDK · CHILDREN'S HOSPITAL BOSTON · PI ADAM, ROSALYN M · 2002 to 2023
$2.5M
Early Validation of Urinary Biomarkers of Renal ObstructionR01DK096238 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LEE, RICHARD SANG-YONG · 2013 to 2017
$1.3M
Establishment and Application of a Library of Site-Specific Glycosylation PatternK01DK101632 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI FROEHLICH, JOHN WILLIAM · 2014 to 2018
$611k
Early Validation of Urinary Biomarkers of Renal ObstructionR56DK096238 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LEE, RICHARD SANG-YONG · 2019 to 2019
$100k
NCATS NIH HHS KL2 TR001455NIDDK NIH HHS K01 DK101632NIDDK NIH HHS R01 DK096238NIDDK NIH HHS R56 DK096238NIDDK NIH HHS T32 DK060442
6 · The paper itself

Abstract

Recurrent urinary tract infections (UTIs) pose a significant burden on the health care system. Underlying mechanisms predisposing children to UTIs and associated changes in the urinary proteome are not well understood. We aimed to investigate the urinary proteome of a subset of children who have vesicoureteral reflux (VUR) and recurrent UTIs because of their risk of developing infection-related renal damage. Improving diagnostic modalities to identify UTI risk factors would significantly alter the clinical management of children with VUR. We profiled the urinary proteomes of 22 VUR patients with low grade VUR (1-3 out of 5), a history of recurrent UTIs, and renal scarring, comparing them to those obtained from 22 age-matched controls. Urinary proteins were analyzed by mass spectrometry followed by protein quantitation based on spectral counting. Of the 2,551 proteins identified across both cohorts, 964 were robustly quantified, as defined by meeting criteria with spectral count (SC) ≥2 in at least 7 patients in either VUR or control cohort. Eighty proteins had differential expression between the two cohorts, with 44 proteins significantly up-regulated and 36 downregulated (q <0.075, FC ≥1.2). Urinary proteins involved in inflammation, acute phase response (APR), modulation of extracellular matrix (ECM), and carbohydrate metabolism were altered among the study cohort.

Indexed as

ProteomeFemaleHumansMalePeptidesPilot ProjectsRecurrenceUrinary Tract InfectionsUrineVesico-Ureteral RefluxPeptidesProteomeacute phase responseclinical proteomicsinfectious diseaseMass spectrometryrenal function or biologyurinary tract infectionurine analysisvesicoureteral reflux

Identifiers

PMID31896675
PMCPMC7050111
OpenAlexW2996938063

What OpenQuestion holds

Textmetadata
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.