Evidence map›Paper›PMID 27000794›Full record

ReviewBMC urology2016

Urinary proteomics and metabolomics studies to monitor bladder health and urological diseases.

Zhaohui Chen, Jayoung Kim

Open access · goldAbstract readReview
In one paragraph

Review in BMC urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Urinary Biomarkers: Diagnostic Tools for Monitoring Athletes' Health Status.International journal of environmental research and public health · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Unmasking molecular profiles of bladder cancer.Investigative and clinical urology · 2018
    Review
  14. Urine: Waste product or biologically active tissue?Neurourology and urodynamics · 2018
    Article
  15. Article
  16. Article
  17. Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2017
    Article
  18. Article
  19. Review
  20. Review
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

2 authors at 1 institution in 1 country.

Zhaohui ChenAdvanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Jayoung KimDepartment of Surgery, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA. Jayoung.Kim@cshs.org.
Cedars-Sinai Medical Center · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
MAPP Research NetworkU01DK082316 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LANDIS, J RICHARD · 2008 to 2018
$17.2M
West Coast Central Comprehensive Metabolomics Resource Core (WC3MRC)U24DK097154 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2012 to 2017
$9.9M
The Epidemiology of Interstitial Cystitis in a Nationwide Multiethnic VA CohortU01DP006079 · DP · CEDARS-SINAI MEDICAL CENTER · PI ANGER, JENNIFER TASH, FREEDLAND, STEPHEN JAY · 2015 to 2019
$3.8M
Microbiome and Proteome As Predictive Biomarkers of UCPPSU01DK103260 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI ANGER, JENNIFER TASH, FREEMAN, MICHAEL R · 2014 to 2018
$1.2M
Urinary Metabolites in IC PBS DiagnosisR01DK100974 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI ANGER, JENNIFER TASH, KIM, JAYOUNG · 2013 to 2013
$416k
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCCDPHP CDC HHS 1U01DP006079NCCDPHP CDC HHS U01 DP006079NIDDK NIH HHS 1R01DK100974NIDDK NIH HHS 1U01DK103260NIDDK NIH HHS R01 DK100974NIDDK NIH HHS U01 DK082316NIDDK NIH HHS U01 DK103260NIDDK NIH HHS U24 DK097154
6 · The paper itself

Abstract

backgroundAssays of molecular biomarkers in urine are non-invasive compared to other body fluids and can be easily repeated. Based on the hypothesis that the secreted markers from the diseased organs may locally release into the body fluid in the vicinity of the injury, urine-based assays have been considered beneficial to monitoring bladder health and urological diseases. The urine proteome is much less complex than the serum and tissues, but nevertheless can contain biomarkers for diagnosis and prognosis of diseases. The urine metabolome has a much higher number and concentration of low-molecular metabolites than the serum or tissues, with a far lower lipid concentration, yet informs directly about dietary and microbial metabolism. DISCUSSION: We here discuss the use of mass spectrometry-based proteomics and metabolomics for urine biomarker assays, specifically with respect to the underlying mechanisms that trigger the pathological condition.

conclusionMolecular biomarker profiles, based on proteomics and metabolomics studies, reliably distinguish patients from healthy controls, stratify sub-populations with respect to treatment options, and predict therapeutic response of patients with urological disease.

Indexed as

BiomarkersHumansMass SpectrometryMetabolomicsPrognosisProteomicsTreatment OutcomeUrinary BladderUrinary Bladder DiseasesUrineUrologic DiseasesBiomarkersBladder diseasesMetabolomicsProteomicsUrinary biomarkers

Identifiers

PMID27000794
PMCPMC4802825
OpenAlexW2306509029

What Socratic 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 Socratic graph.