SlideShare a Scribd company logo
1 of 28
Download to read offline
Copyright 2007, The Johns Hopkins University and David Bishai. All rights reserved. Use of these materials
permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or
warranties provided. User assumes all responsibility for use, and all liability related thereto, and must independently
review all materials for accuracy and efficacy. May contain materials owned by others. User is responsible for
obtaining permissions for use from third parties as needed.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this
material constitutes acceptance of that license and the conditions of use of materials on this site.
The Molecular Epidemiology of Infectious Disease
William R. Bishai, MD, PhD
The Johns Hopkins University
3
William R. Bishai, MD, PhD
„ Professor, Johns Hopkins
University School of Medicine
„ Co-Director, Center for
Tuberculosis Research
„ Interests
− Molecular pathogenesis of TB
− Cell division in mycobacteria
− Pathogenesis of caseation
and cavitation
Section A
Laboratory Tools for Molecular Epidemiology of Bacterial
Pathogens
5
Conventional, Non-molecular Techniques
„ Biotyping—specific biochemical reactions, colony morphology,
environmental tolerances; rarely has enough discriminatory power for
use as the sole epidemiologic marker
„ Antimicrobial susceptibility typing—compares profiles of isolates
to a panel of antibiotics; problem is that closely related species can
acquire new resistances readily
„ Serotyping—antibodies may be raised against a number of bacterial
surface structures (e.g., LPS, capsule, outer membrane proteins,
flagellae); historically, serotyping has been poorly reproducible, but it
has improved as monoclonal antibodies are being used
„ Bacteriophage typing—lytic bacteriophages (viruses of bacteria)
infect certain strains, but not others; it was the standard means of
typing Salmonella and Staph. aureus strains until recently;
drawbacks: technically tricky, need to maintain a valid stock of
phages, many strains non-typable
„ Bacteriocin typing—bacterial toxins uniquely active against some
members of a species; has been used for Pseudomonas aeruginosa;
same drawbacks as bacteriophage methods bacteriocin
6
Laboratory Tools
„ Laboratory tools for molecular epidemiology of bacterial
pathogens: a primer on DNA restriction and DNA
separation techniques
7
Conventional Gel Electrophoresis
8
Nucleic Acid (DNA-, RNA-) Based Methods
„ Restriction analysis: restriction enzymes (REs) cut DNA at sequence-specific
sites, e.g.,—
− Due to genetic drift or mutations, different isolates will have variations in
the number and spacing of sites for an RE. This is called restriction-
fragment length polymorphism (RFLP).
X REs with 4 base recognition sites cut every 44 (256) bp
X REs with 6 base recognition sites cut every 46 (4,096) bp
X REs with 8 base recognition sites cut every 48 (65,536) bp
X Frequency of cuts also depends on the GC% of the bug, e.g., M.
tb. (67% GC) has 0 PacI sites (TTAATTAA) and only 10 DraI sites
(TTTAAA)
9
Some Restriction Enzymes and Cleavage Sequences
10
Restriction Analysis and RFLP
11
Restriction Fragment Length Polymorphism (RFLP)
Section B
Four Key Techniques
13
Nucleic Acid (DNA-, RNA-) Based Methods
„ Plasmid DNA restriction analysis
− Same as above except small satellite pieces of DNA
called plasmids (2,000–20,000 bp) are isolated and
cut with REs
− Here conventional electrophoresis may be used
− Drawbacks: nonspecific, not all isolates will have
plasmids; plasmids are shared readily in nature,
hence isolates may be identical except one has
acquired a plasmid
14
Nucleic Acid (DNA-, RNA-) Based Methods
„ Hybridization techniques
− The strategy here is to cut chromosomal DNA with a
frequent-cutting enzyme like a 6-base cutter (e.g.,
4,000,000 bp genome would be cut into 977
fragments averaging 4,096 bp), but then to highlight
only certain polymorphic bands within the many
fragments by hybridization to a labeled probe by
Southern blotting
i) Randomly cloned probes
ii) Probes based upon specific virulence factors
iii)Probes derived from insertions sequences
iv)Probes directed against ribosomal DNA (rDNA):
ribotyping
KEY
KEY
15
Southern Blotting 2 of 2
16
Nucleic Acid (DNA-, RNA-) Based Methods
„ Chromosomal DNA restriction analysis; pulsed field gel
electrophoresis (PFGE)
− Detects the loss or gain of a restriction site due to
genetic variation
− An 8-base cutting RE used on DNA from a 4,000,000
bp chromosome will give about 60 fragments with an
average size of 65,536 bp
− 65,000 bp fragments are too large to be separated by
standard DNA gels, but special electrophoresis
equipment (PFGE) works
− Hence using PFGE, chromosomal DNA fingerprinting
is possible without the need for hybridization
techniques to visualize only certain bands
− Quite sensitive and specific, looks at entire genome
− Drawbacks: technically demanding, expensive
17
PFGE Analysis
Schematic diagram of pulsed-field gel electrophoresis (PFGE) by the CHEF
technique. Alternation of current is shown. The figure on the left indicates current
from left to right. The figure on the right shows the current from right to left. Vertical
arrows indicate net migration of DNA fragments in the gel.
18
PCR Approaches
„ PCR-based subtyping methods
− Polymerase chain reaction allows one to amplify a
known sequence of DNA rapidly
− Relatively easy, cost coming down
− Drawbacks (1) cross-contamination is a big problem,
(2) often poorly reproducible from machine to machine
A. PCR-RFLP
B. Arbitrarily primed PCR (AP-PCR) or random
amplification of polymorphic DNA (RAPD)
19
PCR Approaches
20
Cost: Material vs. Labor
Component
Cost/sample ($) for:
Restriction of
genomic
DNA
Ribotyping PFGE PCR-RFLP
Material 1.75 2.75 12.00 4.31
Labor 14.05 24.00 10.00 8.88
Total 15.80 26.75 22.00 13.19
Section C
Using the Laboratory Tools: Three examples from the
literature
22
Antimicrobial Resistance Traced to Dairy Farms
Chloramphenicol-resistant Salmonella newport traced through hamburger to dairy
farms. A major persisting source of human salmonellosis in California
JS Spika, SH Waterman, GW Hoo, ME St Louis, RE Pacer, SM James, ML Bissett, LW
Mayer, JY Chiu, B Hall, and et al.
Abstract: Animal-to-human transmission of drug-resistant salmonella and the role of
antimicrobial use in food animals in the emergence of these bacteria are controversial
subjects. Investigation of a 4.9-fold increase in Salmonella newport isolations from
Californians in 1985 showed that 87 percent of the isolates had an unusual antimicrobial-
resistance pattern (including chloramphenicol resistance) and a single, identical plasmid.
Interviews of 45 patients and 89 matched controls in Los Angeles County showed that
illness was associated with penicillin or tetracycline use during the month before onset (P
less than 0.001) and with eating ground beef during the week before onset (P = 0.052).
The epidemic strain was isolated from hamburger products eaten by cases, abattoirs
where the animals from which the meat came were slaughtered, dairies that sent cows for
slaughter on days when culture-positive products were processed, and ill dairy cows.
Isolation of salmonella from beef carcasses in abattoirs correlated with the proportion of
dead or moribund animals received for slaughter (r = 0.60, P less than 0.05). Isolation of
chloramphenicol-resistant salmonella from dairy farms was associated with the use of
chloramphenicol at those dairies. We conclude that food animals are a major source of
antimicrobial-resistant salmonella infections in humans and that these infections are
associated with antimicrobial use on farms. NEJM 1987;316:565-570
23
Salmonella newport: California, 1985
24
Antimicrobial Susceptibility Typing for Tracing
„ Antimicrobial susceptibility typing to trace a California Salmonella
outbreak
− 4.9-fold rise in Salmonella newport in California in 1985
− 85% of isolates were chloramphenicol-resistant and carried an
identical plasmid
− Epidemic strain isolated from:
X Hamburger consumed by case patients
X Abattoirs where cattle which produced the infected meat
were slaughtered
X Dairies which sent cattle for slaughter on days when tainted
meat was produced
− Chloramphenicol-resistant Salmonella statistically associated
with dairies using chloramphenicol as a fattener as a
fattener (P = 0.023)
Fraction using chloramphenicol
Dairies with resistant Salmonella 3/8 (38%)
Dairies without resistant Salmonella 4/67 (6%)
25
Example 2
The Epidemiology of Tuberculosis in San Francisco -- A Population-Based Study
Using Conventional and Molecular Methods
Peter M. Small, Philip C. Hopewell, Samir P. Singh, Antonio Paz, Julie Parsonnet, Delaney
C. Ruston, Gisela F. Schecter, Charles L. Daley, and Gary K. Schoolnik
Background: The epidemiology of tuberculosis in urban populations is changing.
Combining conventional epidemiologic techniques with DNA fingerprinting of
Mycobacterium tuberculosis can improve the understanding of how tuberculosis is
transmitted. Methods: We used restriction-fragment-length polymorphism (RFLP) analysis
to study M. tuberculosis isolates from all patients reported to the tuberculosis registry in
San Francisco during 1991 and 1992. These results were interpreted along with clinical,
demographic, and epidemiologic data. Patients infected with the same strains were
identified according to their RFLP patterns, and patients with identical patterns were
grouped in clusters. Risk factors for being in a cluster were analyzed. Results: Of 473
patients studied, 191 appeared to have active tuberculosis as a result of recent infection.
Tracing of patients' contacts with the use of conventional methods identified links among
only 10 percent of these patients. DNA fingerprinting, however, identified 44 clusters, 20 of
which consisted of only 2 persons and the largest of which consisted of 30 persons. In
patients under 60 years of age, Hispanic ethnicity (odds ratio, 3.3; P = 0.02), black race
(odds ratio, 2.3; P = 0.02), birth in the United States (odds ratio, 5.8; P<0.001), and a
diagnosis of the acquired immunodeficiency syndrome (odds ratio, 1.8; P = 0.04) were
independently associated with being in a cluster. Further study of patients in clusters
confirmed that poorly compliant patients with infectious tuberculosis have a substantial
adverse effect on the control of this disease. Conclusions: Despite an efficient
tuberculosis-control program, nearly a third of new cases of tuberculosis in San Francisco
are the result of recent infection. Few of these instances of transmission are identified by
conventional contact tracing. NEJM 1994;330:1703-1709
26
Two Hypothetical Patterns of TB transmission
27
M. Tuberculosis IS6110
„ M. tuberculosis IS6110: an insertion sequence useful for
Southern blot RFLP analysis
28
Implications for Public Health Officials
„ Old dogma
− 90% of active TB due to reactivation
− 10% due to active primary disease
„ New data
− San Francisco and New York: 30–40% of isolates
show DNA fingerprint clustering
„ Primary active TB may occur in 30–40% of urban cases
rather than 10%
„ Responses
− Reactivation TB: large-scale tuberculin screening
− Primary active TB: aggressive case-finding and
contact investigation

More Related Content

Similar to EID_lec3_Bishai.pdf

Molecular testing techniques in cytology specimens
Molecular testing techniques in cytology specimensMolecular testing techniques in cytology specimens
Molecular testing techniques in cytology specimensSudipta Naskar
 
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
2014 11-27 ODDP 2014 course, Amsterdam, Alain van GoolAlain van Gool
 
Molecular techniques in food microbiology
Molecular  techniques in food microbiologyMolecular  techniques in food microbiology
Molecular techniques in food microbiologyNajiyaNaju1
 
Hao Liu Resume 2017-02
Hao Liu Resume 2017-02Hao Liu Resume 2017-02
Hao Liu Resume 2017-02Hao Liu
 
ProImmune Antigen Characterization Summit Sanja Selak
ProImmune Antigen Characterization Summit Sanja SelakProImmune Antigen Characterization Summit Sanja Selak
ProImmune Antigen Characterization Summit Sanja Selakamandacturner
 
FFPE Applications Solutions brochure
FFPE Applications Solutions brochureFFPE Applications Solutions brochure
FFPE Applications Solutions brochureAffymetrix
 
Open-Source Bioinformatics for Data Scientists with Amanda Schierz
Open-Source Bioinformatics for Data Scientists with Amanda SchierzOpen-Source Bioinformatics for Data Scientists with Amanda Schierz
Open-Source Bioinformatics for Data Scientists with Amanda SchierzJessica Willis
 
Pcr single strand conformation polymorphism
Pcr single strand conformation polymorphismPcr single strand conformation polymorphism
Pcr single strand conformation polymorphismFatimaIftikhar27
 
EVE 161 Winter 2018 Class 8
EVE 161 Winter 2018 Class 8EVE 161 Winter 2018 Class 8
EVE 161 Winter 2018 Class 8Jonathan Eisen
 
2017 molecular profiling_wim_vancriekinge
2017 molecular profiling_wim_vancriekinge2017 molecular profiling_wim_vancriekinge
2017 molecular profiling_wim_vancriekingeProf. Wim Van Criekinge
 
Overcoming the challenges of molecular diagnostics in government health insti...
Overcoming the challenges of molecular diagnostics in government health insti...Overcoming the challenges of molecular diagnostics in government health insti...
Overcoming the challenges of molecular diagnostics in government health insti...Yakubu Sunday Bot
 
SMR kinase meeting October 2013
SMR kinase meeting October 2013SMR kinase meeting October 2013
SMR kinase meeting October 2013jpoverington
 
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...Sean Ekins
 
PLoSONE_AS_Mtb_2016.PDF
PLoSONE_AS_Mtb_2016.PDFPLoSONE_AS_Mtb_2016.PDF
PLoSONE_AS_Mtb_2016.PDFUpneet Sokhi
 
Dr. Jack Dekkers and Dr. Bob Rowland - Introduction of the Program
Dr. Jack Dekkers and Dr. Bob Rowland - Introduction of the ProgramDr. Jack Dekkers and Dr. Bob Rowland - Introduction of the Program
Dr. Jack Dekkers and Dr. Bob Rowland - Introduction of the ProgramJohn Blue
 

Similar to EID_lec3_Bishai.pdf (20)

Molecular testing techniques in cytology specimens
Molecular testing techniques in cytology specimensMolecular testing techniques in cytology specimens
Molecular testing techniques in cytology specimens
 
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
 
Plos
PlosPlos
Plos
 
Microarray
Microarray Microarray
Microarray
 
Molecular techniques in food microbiology
Molecular  techniques in food microbiologyMolecular  techniques in food microbiology
Molecular techniques in food microbiology
 
Hao Liu Resume 2017-02
Hao Liu Resume 2017-02Hao Liu Resume 2017-02
Hao Liu Resume 2017-02
 
ProImmune Antigen Characterization Summit Sanja Selak
ProImmune Antigen Characterization Summit Sanja SelakProImmune Antigen Characterization Summit Sanja Selak
ProImmune Antigen Characterization Summit Sanja Selak
 
Abbas morovvati
Abbas morovvatiAbbas morovvati
Abbas morovvati
 
FFPE Applications Solutions brochure
FFPE Applications Solutions brochureFFPE Applications Solutions brochure
FFPE Applications Solutions brochure
 
Open-Source Bioinformatics for Data Scientists with Amanda Schierz
Open-Source Bioinformatics for Data Scientists with Amanda SchierzOpen-Source Bioinformatics for Data Scientists with Amanda Schierz
Open-Source Bioinformatics for Data Scientists with Amanda Schierz
 
Schierz ODSC Meetup pdf
Schierz ODSC Meetup pdfSchierz ODSC Meetup pdf
Schierz ODSC Meetup pdf
 
Pcr single strand conformation polymorphism
Pcr single strand conformation polymorphismPcr single strand conformation polymorphism
Pcr single strand conformation polymorphism
 
EVE 161 Winter 2018 Class 8
EVE 161 Winter 2018 Class 8EVE 161 Winter 2018 Class 8
EVE 161 Winter 2018 Class 8
 
2017 molecular profiling_wim_vancriekinge
2017 molecular profiling_wim_vancriekinge2017 molecular profiling_wim_vancriekinge
2017 molecular profiling_wim_vancriekinge
 
Overcoming the challenges of molecular diagnostics in government health insti...
Overcoming the challenges of molecular diagnostics in government health insti...Overcoming the challenges of molecular diagnostics in government health insti...
Overcoming the challenges of molecular diagnostics in government health insti...
 
SMR kinase meeting October 2013
SMR kinase meeting October 2013SMR kinase meeting October 2013
SMR kinase meeting October 2013
 
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
 
PLoSONE_AS_Mtb_2016.PDF
PLoSONE_AS_Mtb_2016.PDFPLoSONE_AS_Mtb_2016.PDF
PLoSONE_AS_Mtb_2016.PDF
 
Axt microarrays
Axt microarraysAxt microarrays
Axt microarrays
 
Dr. Jack Dekkers and Dr. Bob Rowland - Introduction of the Program
Dr. Jack Dekkers and Dr. Bob Rowland - Introduction of the ProgramDr. Jack Dekkers and Dr. Bob Rowland - Introduction of the Program
Dr. Jack Dekkers and Dr. Bob Rowland - Introduction of the Program
 

Recently uploaded

MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupJonathanParaisoCruz
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...jaredbarbolino94
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,Virag Sontakke
 
Meghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentMeghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentInMediaRes1
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 

Recently uploaded (20)

9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized Group
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
 
Meghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentMeghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media Component
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 

EID_lec3_Bishai.pdf

  • 1. Copyright 2007, The Johns Hopkins University and David Bishai. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability related thereto, and must independently review all materials for accuracy and efficacy. May contain materials owned by others. User is responsible for obtaining permissions for use from third parties as needed. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site.
  • 2. The Molecular Epidemiology of Infectious Disease William R. Bishai, MD, PhD The Johns Hopkins University
  • 3. 3 William R. Bishai, MD, PhD „ Professor, Johns Hopkins University School of Medicine „ Co-Director, Center for Tuberculosis Research „ Interests − Molecular pathogenesis of TB − Cell division in mycobacteria − Pathogenesis of caseation and cavitation
  • 4. Section A Laboratory Tools for Molecular Epidemiology of Bacterial Pathogens
  • 5. 5 Conventional, Non-molecular Techniques „ Biotyping—specific biochemical reactions, colony morphology, environmental tolerances; rarely has enough discriminatory power for use as the sole epidemiologic marker „ Antimicrobial susceptibility typing—compares profiles of isolates to a panel of antibiotics; problem is that closely related species can acquire new resistances readily „ Serotyping—antibodies may be raised against a number of bacterial surface structures (e.g., LPS, capsule, outer membrane proteins, flagellae); historically, serotyping has been poorly reproducible, but it has improved as monoclonal antibodies are being used „ Bacteriophage typing—lytic bacteriophages (viruses of bacteria) infect certain strains, but not others; it was the standard means of typing Salmonella and Staph. aureus strains until recently; drawbacks: technically tricky, need to maintain a valid stock of phages, many strains non-typable „ Bacteriocin typing—bacterial toxins uniquely active against some members of a species; has been used for Pseudomonas aeruginosa; same drawbacks as bacteriophage methods bacteriocin
  • 6. 6 Laboratory Tools „ Laboratory tools for molecular epidemiology of bacterial pathogens: a primer on DNA restriction and DNA separation techniques
  • 8. 8 Nucleic Acid (DNA-, RNA-) Based Methods „ Restriction analysis: restriction enzymes (REs) cut DNA at sequence-specific sites, e.g.,— − Due to genetic drift or mutations, different isolates will have variations in the number and spacing of sites for an RE. This is called restriction- fragment length polymorphism (RFLP). X REs with 4 base recognition sites cut every 44 (256) bp X REs with 6 base recognition sites cut every 46 (4,096) bp X REs with 8 base recognition sites cut every 48 (65,536) bp X Frequency of cuts also depends on the GC% of the bug, e.g., M. tb. (67% GC) has 0 PacI sites (TTAATTAA) and only 10 DraI sites (TTTAAA)
  • 9. 9 Some Restriction Enzymes and Cleavage Sequences
  • 11. 11 Restriction Fragment Length Polymorphism (RFLP)
  • 12. Section B Four Key Techniques
  • 13. 13 Nucleic Acid (DNA-, RNA-) Based Methods „ Plasmid DNA restriction analysis − Same as above except small satellite pieces of DNA called plasmids (2,000–20,000 bp) are isolated and cut with REs − Here conventional electrophoresis may be used − Drawbacks: nonspecific, not all isolates will have plasmids; plasmids are shared readily in nature, hence isolates may be identical except one has acquired a plasmid
  • 14. 14 Nucleic Acid (DNA-, RNA-) Based Methods „ Hybridization techniques − The strategy here is to cut chromosomal DNA with a frequent-cutting enzyme like a 6-base cutter (e.g., 4,000,000 bp genome would be cut into 977 fragments averaging 4,096 bp), but then to highlight only certain polymorphic bands within the many fragments by hybridization to a labeled probe by Southern blotting i) Randomly cloned probes ii) Probes based upon specific virulence factors iii)Probes derived from insertions sequences iv)Probes directed against ribosomal DNA (rDNA): ribotyping KEY KEY
  • 16. 16 Nucleic Acid (DNA-, RNA-) Based Methods „ Chromosomal DNA restriction analysis; pulsed field gel electrophoresis (PFGE) − Detects the loss or gain of a restriction site due to genetic variation − An 8-base cutting RE used on DNA from a 4,000,000 bp chromosome will give about 60 fragments with an average size of 65,536 bp − 65,000 bp fragments are too large to be separated by standard DNA gels, but special electrophoresis equipment (PFGE) works − Hence using PFGE, chromosomal DNA fingerprinting is possible without the need for hybridization techniques to visualize only certain bands − Quite sensitive and specific, looks at entire genome − Drawbacks: technically demanding, expensive
  • 17. 17 PFGE Analysis Schematic diagram of pulsed-field gel electrophoresis (PFGE) by the CHEF technique. Alternation of current is shown. The figure on the left indicates current from left to right. The figure on the right shows the current from right to left. Vertical arrows indicate net migration of DNA fragments in the gel.
  • 18. 18 PCR Approaches „ PCR-based subtyping methods − Polymerase chain reaction allows one to amplify a known sequence of DNA rapidly − Relatively easy, cost coming down − Drawbacks (1) cross-contamination is a big problem, (2) often poorly reproducible from machine to machine A. PCR-RFLP B. Arbitrarily primed PCR (AP-PCR) or random amplification of polymorphic DNA (RAPD)
  • 20. 20 Cost: Material vs. Labor Component Cost/sample ($) for: Restriction of genomic DNA Ribotyping PFGE PCR-RFLP Material 1.75 2.75 12.00 4.31 Labor 14.05 24.00 10.00 8.88 Total 15.80 26.75 22.00 13.19
  • 21. Section C Using the Laboratory Tools: Three examples from the literature
  • 22. 22 Antimicrobial Resistance Traced to Dairy Farms Chloramphenicol-resistant Salmonella newport traced through hamburger to dairy farms. A major persisting source of human salmonellosis in California JS Spika, SH Waterman, GW Hoo, ME St Louis, RE Pacer, SM James, ML Bissett, LW Mayer, JY Chiu, B Hall, and et al. Abstract: Animal-to-human transmission of drug-resistant salmonella and the role of antimicrobial use in food animals in the emergence of these bacteria are controversial subjects. Investigation of a 4.9-fold increase in Salmonella newport isolations from Californians in 1985 showed that 87 percent of the isolates had an unusual antimicrobial- resistance pattern (including chloramphenicol resistance) and a single, identical plasmid. Interviews of 45 patients and 89 matched controls in Los Angeles County showed that illness was associated with penicillin or tetracycline use during the month before onset (P less than 0.001) and with eating ground beef during the week before onset (P = 0.052). The epidemic strain was isolated from hamburger products eaten by cases, abattoirs where the animals from which the meat came were slaughtered, dairies that sent cows for slaughter on days when culture-positive products were processed, and ill dairy cows. Isolation of salmonella from beef carcasses in abattoirs correlated with the proportion of dead or moribund animals received for slaughter (r = 0.60, P less than 0.05). Isolation of chloramphenicol-resistant salmonella from dairy farms was associated with the use of chloramphenicol at those dairies. We conclude that food animals are a major source of antimicrobial-resistant salmonella infections in humans and that these infections are associated with antimicrobial use on farms. NEJM 1987;316:565-570
  • 24. 24 Antimicrobial Susceptibility Typing for Tracing „ Antimicrobial susceptibility typing to trace a California Salmonella outbreak − 4.9-fold rise in Salmonella newport in California in 1985 − 85% of isolates were chloramphenicol-resistant and carried an identical plasmid − Epidemic strain isolated from: X Hamburger consumed by case patients X Abattoirs where cattle which produced the infected meat were slaughtered X Dairies which sent cattle for slaughter on days when tainted meat was produced − Chloramphenicol-resistant Salmonella statistically associated with dairies using chloramphenicol as a fattener as a fattener (P = 0.023) Fraction using chloramphenicol Dairies with resistant Salmonella 3/8 (38%) Dairies without resistant Salmonella 4/67 (6%)
  • 25. 25 Example 2 The Epidemiology of Tuberculosis in San Francisco -- A Population-Based Study Using Conventional and Molecular Methods Peter M. Small, Philip C. Hopewell, Samir P. Singh, Antonio Paz, Julie Parsonnet, Delaney C. Ruston, Gisela F. Schecter, Charles L. Daley, and Gary K. Schoolnik Background: The epidemiology of tuberculosis in urban populations is changing. Combining conventional epidemiologic techniques with DNA fingerprinting of Mycobacterium tuberculosis can improve the understanding of how tuberculosis is transmitted. Methods: We used restriction-fragment-length polymorphism (RFLP) analysis to study M. tuberculosis isolates from all patients reported to the tuberculosis registry in San Francisco during 1991 and 1992. These results were interpreted along with clinical, demographic, and epidemiologic data. Patients infected with the same strains were identified according to their RFLP patterns, and patients with identical patterns were grouped in clusters. Risk factors for being in a cluster were analyzed. Results: Of 473 patients studied, 191 appeared to have active tuberculosis as a result of recent infection. Tracing of patients' contacts with the use of conventional methods identified links among only 10 percent of these patients. DNA fingerprinting, however, identified 44 clusters, 20 of which consisted of only 2 persons and the largest of which consisted of 30 persons. In patients under 60 years of age, Hispanic ethnicity (odds ratio, 3.3; P = 0.02), black race (odds ratio, 2.3; P = 0.02), birth in the United States (odds ratio, 5.8; P<0.001), and a diagnosis of the acquired immunodeficiency syndrome (odds ratio, 1.8; P = 0.04) were independently associated with being in a cluster. Further study of patients in clusters confirmed that poorly compliant patients with infectious tuberculosis have a substantial adverse effect on the control of this disease. Conclusions: Despite an efficient tuberculosis-control program, nearly a third of new cases of tuberculosis in San Francisco are the result of recent infection. Few of these instances of transmission are identified by conventional contact tracing. NEJM 1994;330:1703-1709
  • 26. 26 Two Hypothetical Patterns of TB transmission
  • 27. 27 M. Tuberculosis IS6110 „ M. tuberculosis IS6110: an insertion sequence useful for Southern blot RFLP analysis
  • 28. 28 Implications for Public Health Officials „ Old dogma − 90% of active TB due to reactivation − 10% due to active primary disease „ New data − San Francisco and New York: 30–40% of isolates show DNA fingerprint clustering „ Primary active TB may occur in 30–40% of urban cases rather than 10% „ Responses − Reactivation TB: large-scale tuberculin screening − Primary active TB: aggressive case-finding and contact investigation