HIGH-THROUGHPUT MOLECULAR DIAGNOSTICS FOR RAPID DETECTION OF PATHOGENS IN CORNEAL ULCERS - PowerPoint PPT Presentation

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HIGH-THROUGHPUT MOLECULAR DIAGNOSTICS FOR RAPID DETECTION OF PATHOGENS IN CORNEAL ULCERS

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HIGH-THROUGHPUT MOLECULAR DIAGNOSTICS FOR RAPID DETECTION OF PATHOGENS IN CORNEAL ULCERS LA Oliveira1,2, MI Rosenblatt1, IR Schwab1, RT Kashwiabushi2, MCZ Yu3, R ... – PowerPoint PPT presentation

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Title: HIGH-THROUGHPUT MOLECULAR DIAGNOSTICS FOR RAPID DETECTION OF PATHOGENS IN CORNEAL ULCERS


1
HIGH-THROUGHPUT MOLECULAR DIAGNOSTICS FOR RAPID
DETECTION OF PATHOGENS IN CORNEAL ULCERS
LA Oliveira1,2, MI Rosenblatt1, IR Schwab1, RT
Kashwiabushi2, MCZ Yu3, R Sampath3, LB Blyn3, MJ
Mannis1, LB de Sousa2, DJ Ecker3 1 Department of
Ophthalmology and Vision Science, University of
California-Davis, Davis, CA 2 Ophthalmology and
Visual Sciences, Federal University of Sao Paulo,
Sao Paulo, Brazil 3 Ibis Division of Isis
Pharmaceutical, Carlsbad, CA
Authors have no financial interest. R Sampath, LB
Blyn, and DJ Ecker work for Ibis Division of Isis
Pharmaceutical.
2
Current Diagnostic Techniques
  • Culture
  • Identifies some pathogens
  • Slow, labor intensive
  • PCR analysis
  • Identifies some pathogens
  • One test for each agent

3
Current Approach to Bacterial Keratitis
Identification, virulence, antibiotic resistance
Genotyping, strain identification
Antibiotic resistance (4-5 days)
Pulsed-Field Gel Electrophoresis
PCR DNA Sequencing
Species Identification (Day 3-4)
Sample collection
Start antibiotics
Change to correct antibiotics
4
Purpose of Study
  • To evaluate a novel molecular diagnostic
    technique for the RAPID identification of
    pathogens in patients with bacterial keratitis
  • The goal is to allow earlier intervention with
    TAILORED antibiotic therapy, and thereby reduce
    sight-threatening complications

5
Methods
IRB approved prospective evaluation of patients
with suspected bacterial keratitis presenting to
the Cornea Service at - UC Davis - Federal
University Sao Paulo
  • Additional collection for molecular diagnosis
  • Single calcium alginate swab immersed for 10
    seconds in sterile vial containing 200 ml DMEM.
  • Sample immediately stored at -80 C and thawed at
    the time of analysis.
  • Collection of microbiological samples
  • Gram stain
  • Giemsa stain
  • Blood agar
  • Chocolate agar
  • Thioglycollate broth
  • Sabourauds agar
  • Acanthamoeba identification

6
How the Biosensor System works?
  • PCR Amplification of bacterial DNA
  • Primers recognize conserved regions
  • and amplify variable regions
  • Electrospray ionization mass spectrometry
  • To determine precise mass of amplified DNA
  • Bioinformatics database analysis
  • To triangulate the identification of pathogens

7
Multi-primer Triangulation allows identification
and quantification
Primer 356 rplB
Primer 347 16S rDNA
H influenzae A23 G37 C26 T27
S. Pyogenes A38 G31 C29 T23
S. Pyogenes A24 G37 C30 T25
Neisseria meningitidis A27 G34 C27 T27
PCR Calibrant A34 G29 C27 T26
8
Results
  • 35 Samples (03 fungi excluded)
  • 32 cultures
  • 28 positive cultures for bacterial pathogens
    (80)
  • Molecular Diagnostics
  • Sensitivity 33
  • Specificity 100
  • Positive predictive value 100
  • Negative predictive value 18.2
  • Concordance Kappa0.600, p0.009

9
(No Transcript)
10
Coagulase Negative Staphylococcus (CNS)
  • Pathogen vs. Contaminant?
  • Sampling Bias?
  • Poor Detection by Ibis T5000 Biosensor?
  • What is the Gold Standard?
  • Molecular Diagnostics Excluding CNS
  • Sensitivity 75
  • Specificity 100
  • Positive predictive value 100
  • Negative predictive value 57.1

11
Conclusions
  • A molecular diagnostic approach which combines
    PCR, mass spectrometry, and bioinformatics can
    detect pathogens in bacterial keratitis
  • This can be performed on a small sample and
    provide a rapid diagnosis
  • This test has high specificity
  • The sensitivity was limited by failure to detect
  • Coagulase Negative Staphylococcus

12
Future Directions
  • Improved sampling to increase sensitivity
  • Creation of a corneal pathogen panel
  • (including bacteria, fungi, viruses, protozoa)
  • Detection of antibiotic resistance genes
  • Improved instrument design
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