Evidence map›Paper›PMID 22066011›Full record

ArticlePloS one2011

Clinical validation of integrated nucleic acid and protein detection on an electrochemical biosensor array for urinary tract infection diagnosis.

Ruchika Mohan, Kathleen E Mach, Moran Bercovici, Ying Pan, Lakshmi Dhulipala, Pak Kin Wong, Joseph C Liao

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
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  3. Review
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  9. Modern Tools for Rapid Diagnostics of Antimicrobial Resistance.Frontiers in cellular and infection microbiology · 2020
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Better tests, better care: improved diagnostics for infectious diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2013
    Review
  20. A Universal Electrode Approach for Automated Electrochemical Molecular Analyses.Journal of microelectromechanical systems : a joint IEEE and ASME publication on microstructures, microactuators, microsensors, and microsystems · 2013
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Ruchika MohanDepartment of Urology and Bio-X Program, Stanford University School of Medicine, Stanford, California, United States of America.
Kathleen E Mach
Moran Bercovici
Ying Pan
Lakshmi Dhulipala
Pak Kin Wong
Joseph C Liao
VA Palo Alto Health Care System · USStanford University · USUniversity of Arizona · US

Funding

An Integrated Diagnostic Biochip for Point of Care Pathogen IdentificationU01AI082457 · NIAID · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI LIAO, JOSEPH C · 2009 to 2013
$3.7M
NIAID NIH HHS U01 AI082457
6 · The paper itself

Abstract

backgroundUrinary tract infection (UTI) is a common infection that poses a substantial healthcare burden, yet its definitive diagnosis can be challenging. There is a need for a rapid, sensitive and reliable analytical method that could allow early detection of UTI and reduce unnecessary antibiotics. Pathogen identification along with quantitative detection of lactoferrin, a measure of pyuria, may provide useful information towards the overall diagnosis of UTI. Here, we report an integrated biosensor platform capable of simultaneous pathogen identification and detection of urinary biomarker that could aid the effectiveness of the treatment and clinical management. METHODOLOGY/PRINCIPAL

findingsThe integrated pathogen 16S rRNA and host lactoferrin detection using the biosensor array was performed on 113 clinical urine samples collected from patients at risk for complicated UTI. For pathogen detection, the biosensor used sandwich hybridization of capture and detector oligonucleotides to the target analyte, bacterial 16S rRNA. For detection of the protein biomarker, the biosensor used an analogous electrochemical sandwich assay based on capture and detector antibodies. For this assay, a set of oligonucleotide probes optimized for hybridization at 37°C to facilitate integration with the immunoassay was developed. This probe set targeted common uropathogens including E. coli, P. mirabilis, P. aeruginosa and Enterococcus spp. as well as less common uropathogens including Serratia, Providencia, Morganella and Staphylococcus spp. The biosensor assay for pathogen detection had a specificity of 97% and a sensitivity of 89%. A significant correlation was found between LTF concentration measured by the biosensor and WBC and leukocyte esterase (p<0.001 for both). CONCLUSION/SIGNIFICANCE: We successfully demonstrate simultaneous detection of nucleic acid and host immune marker on a single biosensor array in clinical samples. This platform can be used for multiplexed detection of nucleic acid and protein as the next generation of urinary tract infection diagnostics.

Indexed as

Biosensing TechniquesElectrochemical TechniquesHumansLactoferrinNucleic Acid HybridizationNucleic AcidsOligonucleotide ProbesProteinsRNA, Ribosomal, 16SSensitivity and SpecificityTemperatureUrinary Tract InfectionsLactoferrinNucleic AcidsOligonucleotide ProbesProteinsRNA, Ribosomal, 16S

Identifiers

PMID22066011
PMCPMC3204982
OpenAlexW2136791370

What OpenQuestion holds

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LicenceCC0
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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.