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Whats in a Name The Advantages of Genotypic Microbial ID

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Title: Whats in a Name The Advantages of Genotypic Microbial ID


1
Whats in a Name?The Advantages of Genotypic
Microbial ID
2
Overview
  • Microbial ID Programs
  • Technologies
  • Phenotypic vs. Genotypic
  • Regulatory Considerations
  • Introduction to RiboPrinter
  • Microbial Mapping
  • Microbial Source Tracking
  • Applications

3
Micro ID Program Objective
  • To provide information that will help exclude
    microbes from products
  • It is very useful in
  • Investigating microbial contamination
  • Finding the root cause
  • Determining corrective actions

4
Characterization to Genus and Species
  • EM isolates in ISO 5 areas
  • Alert and action level isolates
  • Water
  • Pharmaceutical ingredients
  • Finished products
  • EM

5
Critical Micro ID Program
  • Media fill failures
  • Sterility test failures
  • Microbial Limit Test failures
  • Product stability failures
  • Product complaints

6
PhenotypicMicrobial ID Methods
  • Utilize expressed gene products to distinguish
    among different organisms
  • Morphological
  • Biochemical
  • Chemo-Taxonomic

7
Nucleic Acid BasedMicrobial ID Methods
  • Microbial genotype characteristics of highly
    conserved regions employed
  • Genotypic
  • Restriction fragment patterns
  • Phylogenic
  • 16S RNA sequences

8
Phenotypic ID Methods
  • Growth-Based
  • Measure biochemical or physiological parameters
    that reflect growth of microorganisms
  • Artifact-Based
  • Detect cellular composition of microbes grown on
    specified media

9
Growth-Based IDBiochemical
  • API
  • Packaged strips containing substrates
  • 20E
  • 20NE
  • Staph
  • Strep
  • Coryne
  • NH
  • Anaerobes
  • Yeast

10
Growth-Based IDBiochemical (cont.)
  • Vitek
  • Miniaturized API concept transferred onto cards
    coupled with an automated incubation and reading
    system
  • ANI Anaerobes Micrococcus
  • BAC Bacillus
  • GPI Gram()
  • GNI/GNI Gram( -) Oxidase( -)
  • NFC Gram( -) Oxidase()
  • YBC Yeast

11
Biochemical Tests Process
  • Day 0 -Subculture
  • Day 1 -Gram stain
  • -Preliminary tests
  • -Suspension preparation
  • -Set up API strip or Vitek card
  • -Incubate
  • Day 2 -Read API strip or Vitek report
  • Day 3 -Read API strip and interpret results

12
Artifact Based ID
  • MIDI (Sherlock Microbial Identification System)
  • Harvest 24 hr culture
  • Extract Preparation
  • Saponification
  • Methylation
  • Extraction
  • Wash
  • GC Analysis
  • Pattern Recognition

13
Nucleic Acid Based IDRibosomal RNA Sequencing
  • MicroSeq
  • Microbial DNA is amplified
  • First 500 base pairs of the 16S rRNA gene are
    sequenced
  • Sequence is compared to a 16S rDNA database

14
MicroSeq Process
  • Microbial isolate plated
  • DNA extraction (1 hr)
  • PCR (3 hrs)
  • Preparation of Sequencing Reactions (1 hr)
  • Cycle Sequencing (10-15 hrs)
  • Analysis (1 hr)
  • Journal of Clinical Microbiology Vol.36,No.12
    P.3674, 1998

15
Nucleic Acid Based ID (Ribotyping)
  • RiboPrinter (Automated - 8hrs)
  • Bacterial DNA cut into fragments
  • Separation by gel electrophoresis
  • Hybridization with DNA probe
  • Chemiluminescent agent added
  • Fragments pattern digitized
  • RiboPrint compared to patterns database

16
Phenotypic vs. Genotypic
  • Phenotypic
  • Dependent on growth conditions
  • Subjective
  • Time consuming
  • API - 2-3 days
  • Vitek - 2 days
  • MIDI - 3-4 days
  • Genotypic
  • Independent of growth conditions
  • More reliable
  • Fast
  • Ribotyping - 8.5 hrs
  • 16s Sequencing - 21 hrs

17
Microbial ID Methods Database
  • API 600
  • Vitek 800
  • MIDI 2000
  • MicroSeq 2,400
  • Accugenix 2,151
  • RiboPrinter 6,000
  • USP Pharmacopeial Forum Vol.30(5)2004
  • Microbial Identification in the Pharaceutical
    Industry

18
Limitations of Phenotypic Methods
  • Labor intensive protocols
  • Need for multiple systems (Gram -/)
  • Limited ability to differentiate microbes below
    species
  • Results often unreliable and irreproducible
  • Subjective interpretation
  • Limited databases

15
19
Ongoing Round-Robin Study
  • 23 isolates sent to 40 labs for phenotypic ID
  • Only 3 were consistently identified
  • Up to 9 different genera reported for a single
    isolate
  • Duplicate samples sent to 36 labs
  • 21 labs could not tell the strains were the same
  • 10 labs reported different genera
  • 10 labs reported the same genus but different
    species
  • Organized by Dr. Clive Thompson of Yorkshire
    Environmental, U.K.

20
Regulatory Considerations
21
Sterile Drug Products Produced by Aseptic
Processing - FDA Guidance for Industry 2004
  • Genotypic methods have been shown to be more
    accurate and precise than traditional biochemical
    and phenotypic techniques. These methods are
    especially valuable for investigation into
    failures (e.g. sterility test, media fill
    contamination)

22
Sterile Drug Products Produced by Aseptic
Processing - FDA Guidance for Industry 2004
  • Microbiological monitoring data should be
    reviewed to determine if the organism is also
    found in the laboratory and production
    environments, personnel, or product bioburden.
    Advanced identification methods (e.g. nucleic
    acid based) are valuable for investigational
    purposes. When comparing results from
    environmental monitoring and sterility positives,
    both identifications should be performed using
    the same methodology.

23
USP lt71gt Sterility Test
  • To invalidate a positive sterility test
  • After determination of the identity of the
    microorganisms isolated from the test, the growth
    of this species may be unequivocally ascribed to
    faults with respect to material and/or technique
    used in conducting a sterility procedure

24
How a Microbiologist Views Bacteria
25
How Manufacturing and QA View Bacteria
26
RiboPrinter System
27
RiboPrinter System
  • DuPont Qualicon
  • Characterization capability
  • Fully automated process
  • Results in 8 hours
  • Fully automated data analysis
  • no subjective data interpretation
  • flexible search, sort features reports

t
t
12
28
Ribotyping
Based on ribosomal RNA genes
  • Highly conserved regions
  • Very stable
  • Variable number and position

Listeria monocytogenes
29
Loading the Disposables
DNA prep pack
Sample carrier
Membrane
Gel cassette
Membrane processing base with inserts
6
30
How Does it Work?
  • Automated processing
  • DNA Preparation
  • Separation and Transfer
  • Membrane Processing
  • Detection
  • Automated analysis
  • Identification
  • Characterization

31
Automated Membrane Processing
10
32
Digitized Image
33
Image Processing
34
Output Strain Level Genetic Fingerprinting
RiboPrint Pattern
14
35
Ribotyping Probe
  • Derived from E. coli rRNA ribosomal operon
  • Approximately 6.5 kB
  • Contains sequences encoding for
  • 16S rRNA
  • Spacer region including Glu-tRNA
  • 23S rRNA
  • 5S rRNA

36
Ribotyping Using EcoR1
PROBE
5S
23S rRNA
16S rRNA
Gene Z
Gene X
EcoRI Sites
A
B
C
D
E
B
RiboPrint pattern generated by EcoRI restriction
of one ribosomal RNA operon
D
Increasing Fragment Size
C
A
E
3.1
37
Principles of Ribotyping
STRAIN 1
PROBE
5S
23S rRNA
16S rRNA
Gene Z
Gene X
Restriction Sites
A
B
STRAIN 1
RiboPrint pattern generated using an infrequent
cutter (one ribosomal RNA operon shown)
B
Increasing Fragment Size
A
5
38
Principles of Ribotyping (cont.)
STRAIN 2
PROBE
5S
23S rRNA
16S rRNA
Gene Z
Gene X
Restriction Sites
A
B
STRAIN 2
STRAIN 1
Two strains, using same enzyme, generate
different RiboPrint patterns
B
B
Increasing Fragment Size
A
A
6
39
Below-Species Differentiation
Strain 1
Strain 2

B
B
D
D
Conserved fragments
C
C

A
A
Variation
Increasing Fragment Size
E
E
same 16S sequence different RiboPrint patterns
9
40
Using Multiple Enzymes
  • Standard enzymes are EcoRI PvuII
  • Other enzymes can be used
  • to cut organism DNA not amenable to EcoRI or
    PvuII digestion
  • when even greater discrimination is needed

41
Automated Pattern Analysis Identification
  • Incoming pattern is compared to a database of
    known reference patterns
  • Match provides accurate sample identification

0.85 similarity Threshold
42
DuPont ID Database
  • Contains over 6448 RiboPrint patterns
    representing 194 genera, and over 1500
    species/serotypes
  • Updates taxonomy consistent with the
    International Journal of Systemic and
    Evolutionary Microbiology
  • Captures all taxonomic changes in audit trail

43
Automated Pattern Analysis Characterization
  • Provides information below the species level
  • Allows comparison of isolates without knowing the
    names
  • Tells you if isolates are the same or different

0.90 sim
44
Identification Characterization
45
RiboPrinter System Batch Report
46
Data Management
47
Automated Nearest Neighbor Searches
48
Sample Pattern Comparisons
49
RiboGroup Clustering of Identical Strains
(Strain History)
50
RiboPrint Patterns Clearly Demonstrate Genera
Differentiation
51
RiboPrint Patterns - Conserved Regions Show
Species Variation
Listeria
52
RiboPrint Patterns - Non-Conserved Regions
Discriminate Below the Species Level
Listeria monocytogenes
53
Ribotyping Dual Benefit
  • Speciation Based on information from conserved
    regions
  • Strain tracking - Full operon/intergenic
    information to differentiate below the species
    level

8
54
Microbial Mapping
Products
Environment
Microbial mapping using your own custom database
Personnel
Equipment
16
16
55
Application - QA/QC
  • Map microbial ecology of production facilities
  • Routine monitoring of microbial flora in
    production facility for subtle changes
  • Address sterility failures by tracking sources of
    contamination
  • Develop strategies for corrective actions

56
Quality Control
  • Routine IDs, Microbial Mapping, OOS
    Investigations
  • Final Products
  • Raw Materials
  • Environment/Water

57
Custom Database Building
  • Methylobacterium radiotolerans
  • Biofilm Bug
  • Product Contaminant 2003
  • EM Isolate 4
  • Control Strain

58
Increasing Lab Efficiency
  • Reduces/eliminates reliance on data log books
  • no searching through notebooks to reference
    source information
  • Viewing data from different angles brings trends
    to surface, especially when you are not sure what
    you are looking for

59
Importance of Strain Level Mapping
  • Identifies the normal ecology within a facility
    as well as the incoming raw materials by creating
    a library of patterns
  • Surveillance from environmental/product samples
    allows historical threats to be spotted quickly
    reducing risk
  • Allows for root cause identification of source to
    be pinpointed through matching fingerprints
  • Provides information for appropriate corrective
    actions

60
Microbial Mapping
Microbial Mapping involves creating a sampling
plan by sampling hot spots, sites of probable
cross-contamination, evaluating interventions and
pathways of movement through a plant, a process,
or a value chain.
61
Focused Process Mapping
Mapping onto critical parts of the process
enables people to see how contamination can
occur.
Staphylococcus warneri
Staphylococcus epidermidis
62
More Efficient Corrective Action Strategies
Microbial Mapping looks at the locations of
matched genetic fingerprints and pathways of
movement through a plant, a process, or a value
chain
Bacillus subtilis
63
Analyzing Process Flow

By analyzing the processes and flow you can trace
how bacteria move for example wheels of
equipment, raw and finished product, people
traffic patterns
24
64
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65
Tracking Sources of Contamination
S. epidermidis (Personnel Gloves) S.
epidermidis (Raw Material) S. epidermidis
(Finished Product)
66
Putting Your Data to Work
  • Accurate, Reproducible, Strain level Data
  • Linked Sample Source Information
  • Powerful, Easy To Use, Data-base Analysis
    Software
  • Improved Understanding
  • Improved Efficiency
  • Reduced Incidents
  • Reduced Testing

67
Other Applications
  • Assess efficacy of sanitization programs
  • Research and development
  • Ensure culture integrity
  • Clinical trial support
  • Expedite accurate decision making

68
Whats in a Name?
  • Unless it has been assigned by reproducible,
    definitive DNA typing, the organism might have
    the wrong name
  • Gene-based IDs reliable regardless of name

69
  • Thank You
  • QA
  • Pacific BioLabs
  • (510) 964-9000
  • info_at_PacificBioLabs.com
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