Mark Lebeck1, Troy McCarthy1, Nancy Hall, BS, MT (ASCP)2, Kevin L. Russell, MD, MTM - PowerPoint PPT Presentation

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Mark Lebeck1, Troy McCarthy1, Nancy Hall, BS, MT (ASCP)2, Kevin L. Russell, MD, MTM

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Title: Mark Lebeck1, Troy McCarthy1, Nancy Hall, BS, MT (ASCP)2, Kevin L. Russell, MD, MTM


1
Mark Lebeck1, Troy McCarthy1, Nancy Hall, BS, MT
(ASCP)2, Kevin L. Russell, MD, MTMH3, Dean D.
Erdman, DrPH4 , Gregory C. Gray, MD, MPH1
1Center for Emerging Infectious Diseases,
Department of Epidemiology, University of Iowa
College of Public Health, Iowa City,
IA. 2Environmental Microbiology, University of
Iowa Hygienic Laboratory, Oakdale Campus,
Coralville, IA. 3Navy Respiratory Disease
Laboratory, Naval Health Research Center, San
Diego, CA. 4Respiratory and Enteric Viruses
Branch, Centers for Disease Control and
Prevention, Atlanta, GA.
  • Why study adenovirus as an indicator of surface
    water contamination?
  • Adenoviruses are prevalent in polluted water
    sources.
  • Adenoviruses have resistance to ultraviolet light
    inactivation and long survival rates in the
    natural environment.
  • Adenoviruses are now recognized as an emerging
    indicator of fecal coliform/E.coli contamination
    and public health concern in surface water.
  • Five of 33 water samples screened (15.2) were
    positive for adenovirus.
  • See representative gel (figure 1).
  • Human adenovirus types 1, 2, 3, 4, and 35 were
    detected by sequence typing (table 1).

Background - Because of their prevalence in
polluted water sources, their resistance to
ultraviolet light inactivation and long survival
rates in the natural environment, adenoviruses
are now recognized as an emerging indicator of
fecal coliform/E.coli contamination and public
health concern in surface water. As their
occurrence and pathogenicity from water have not
been well studied, we are developing molecular
techniques to determine the prevalence of
adenovirus and to identify the specific serotypes
associated with surface water contamination. Metho
ds - A panel of 33 ambient Iowa surface water
samples, previously studied with traditional
coliform detection techniques, was provided to us
by The University of Iowa Hygienic Laboratory.
Specimens were syringe filtered and DNA was
extracted. Nested PCR was performed per the
Centers for Disease Control and Preventions
adenovirus hexon gene sequence typing protocol.
Adenovirus-positive PCR products were sequenced.
A panel of 5 adenovirus-negative and 5
adenovirus-positive water samples was sent to an
outside laboratory for blinded validation
studies. Results - Five of 33 water samples
screened were positive for adenovirus. Human
adenovirus types 1, 2, 3, 4, and 35 were detected
by sequence typing. Blinded validation studies
yielded high agreement (Kappa0.90, p-value
lt0.05). Conclusion - We have shown that
adenovirus contamination can be detected in
surface water samples. The presence and
variability suggest our molecular techniques to
be a promising method for detection of adenovirus
in surface water. Its strength over traditional
fecal coliform/E.coli detection methods is its
potential to determine the origin of
contamination. This method has yet to be
validated for zoonotic adenoviruses.
  • Examine other regions of the adenovirus genome.
  • Validate this method for animal adenoviruses.
  • Optimizing sample storage and preparation with
    larger sample size.
  • Correlation study comparing coliform/E.coli
    assays with adenovirus presence, type and source.
  • We have shown that it is possible to detect
    adenovirus in surface water samples and to
    determine the adenovirus type and species without
    collecting large volumes of water.
  • Our validation showed a 100 agreement for
    negative samples and 80 agreement for positive
    samples. Our methodology may be more sensitive
    than the methodology used by the independent
    laboratory. To determine if differences are
    caused by sensitivity levels or false positives
    more validation studies need to be performed.
  • This study would be strengthened by a larger
    sample size using a wider, more diverse
    collection of surface water samples.
  • To better distinguish adenovirus species and
    type, it would be advantageous to examine other
    regions of the adenovirus genome. In addition to
    hexon gene sequencing, we plan to adapt similar
    sequencing data for the fiber gene and another
    hypervariable region of the hexon gene.
  • Currently, this method has only detected human
    adenoviruses. To better determine the source of
    water contamination, we plan to expand this
    protocol to include animal adenoviruses .

Table 1
Figure 1
  • 33 ambient Iowa surface water samples were
    provided to us by The University of Iowa Hygienic
    Laboratory.
  • Water samples were Millex syringe-driven
    filtered.
  • DNA was extraction with QIAGEN kit.
  • Nested polymerase chain reaction was then
    performed per the Centers for Disease Control and
    Preventions adenovirus hexon gene sequence
    typing protocol (figure 2).
  • Adenovirus-positive PCR products were then
    purified by the QIAquick PCR Purification Kit.
  • Samples were submitted to the University of
    Iowas DNA Core Facility for sequence typing.
  • The wild type sequences were compared to the CEID
    Adenovirus sequence library that we created by
    sequencing known adenoviruses using this
    technique and NCBI.
  • A panel of 5 adenovirus-negative and 5
    adenovirus-positive water samples was sent to
    Respiratory Disease Laboratory, DoD Center for
    Deployment Health Research, Naval Health Research
    Center, San Diego, CA for blinded validation
    studies.
  • In contrast to most methods of adenovirus
    detection, this method did not require large
    volumes of water or an expensive water apparatus.
  • This hexon gene sequencing technique holds great
    promise to determine the source of water
    contamination (e.g. human, swine, poultry, etc.)
    and to identify the specific adenovirus type
    (e.g. human Adv41).

Blinded validation studies yielded high agreement
(Kappa0.90, p-value lt0.05)
Figure 2
Collaborators - Howard Lehmkuhl, PhD, Kevin
Knudson, PhDCEID Staff - Whitney Baker, Ana
Capuano, Mark Lebeck, Ghazi Kayali, Troy
McCarthy, Sharon Setterquist
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