Quantitative Detection and Genotyping of Helicobacter pylori from Stool using Droplet Digital PCR Reveals Variation in Bacterial Loads that Correlates with cagA Virulence Gene Carriage

Background Epidemiologic studies of the carcinogenic stomach bacterium Helicobacter pylori have been limited by the lack of noninvasive detection and genotyping methods. We developed a new stool‐based method for detection, quantification, and partial genotyping of H. pylori using droplet digital PCR...

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Veröffentlicht in:Helicobacter (Cambridge, Mass.) Mass.), 2016-08, Vol.21 (4), p.325-333
Hauptverfasser: Talarico, Sarah, Safaeian, Mahboobeh, Gonzalez, Paula, Hildesheim, Allan, Herrero, Rolando, Porras, Carolina, Cortes, Bernal, Larson, Ann, Fang, Ferric C., Salama, Nina R.
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container_end_page 333
container_issue 4
container_start_page 325
container_title Helicobacter (Cambridge, Mass.)
container_volume 21
creator Talarico, Sarah
Safaeian, Mahboobeh
Gonzalez, Paula
Hildesheim, Allan
Herrero, Rolando
Porras, Carolina
Cortes, Bernal
Larson, Ann
Fang, Ferric C.
Salama, Nina R.
description Background Epidemiologic studies of the carcinogenic stomach bacterium Helicobacter pylori have been limited by the lack of noninvasive detection and genotyping methods. We developed a new stool‐based method for detection, quantification, and partial genotyping of H. pylori using droplet digital PCR (ddPCR), which allows for increased sensitivity and absolute quantification by PCR partitioning. Materials and Methods Stool‐based ddPCR assays for H. pylori 16S gene detection and cagA virulence gene typing were tested using a collection of 50 matched stool and serum samples from Costa Rican volunteers and 29 H. pylori stool antigen‐tested stool samples collected at a US hospital. Results The stool‐based H. pylori 16S ddPCR assay had a sensitivity of 84% and 100% and a specificity of 100% and 71% compared to serology and stool antigen tests, respectively. The stool‐based cagA genotyping assay detected cagA in 22 (88%) of 25 stools from CagA antibody‐positive individuals and four (16%) of 25 stools from CagA antibody‐negative individuals from Costa Rica. All 26 of these samples had a Western‐type cagA allele. Presence of serum CagA antibodies was correlated with a significantly higher load of H. pylori in the stool. Conclusions The stool‐based ddPCR assays are a sensitive, noninvasive method for detection, quantification, and partial genotyping of H. pylori. The quantitative nature of ddPCR‐based H. pylori detection revealed significant variation in bacterial load among individuals that correlates with presence of the cagA virulence gene. These stool‐based ddPCR assays will facilitate future population‐based epidemiologic studies of this important human pathogen.
doi_str_mv 10.1111/hel.12289
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We developed a new stool‐based method for detection, quantification, and partial genotyping of H. pylori using droplet digital PCR (ddPCR), which allows for increased sensitivity and absolute quantification by PCR partitioning. Materials and Methods Stool‐based ddPCR assays for H. pylori 16S gene detection and cagA virulence gene typing were tested using a collection of 50 matched stool and serum samples from Costa Rican volunteers and 29 H. pylori stool antigen‐tested stool samples collected at a US hospital. Results The stool‐based H. pylori 16S ddPCR assay had a sensitivity of 84% and 100% and a specificity of 100% and 71% compared to serology and stool antigen tests, respectively. The stool‐based cagA genotyping assay detected cagA in 22 (88%) of 25 stools from CagA antibody‐positive individuals and four (16%) of 25 stools from CagA antibody‐negative individuals from Costa Rica. All 26 of these samples had a Western‐type cagA allele. Presence of serum CagA antibodies was correlated with a significantly higher load of H. pylori in the stool. Conclusions The stool‐based ddPCR assays are a sensitive, noninvasive method for detection, quantification, and partial genotyping of H. pylori. The quantitative nature of ddPCR‐based H. pylori detection revealed significant variation in bacterial load among individuals that correlates with presence of the cagA virulence gene. These stool‐based ddPCR assays will facilitate future population‐based epidemiologic studies of this important human pathogen.</description><identifier>ISSN: 1083-4389</identifier><identifier>EISSN: 1523-5378</identifier><identifier>DOI: 10.1111/hel.12289</identifier><identifier>PMID: 26667241</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Antigens ; Antigens, Bacterial - analysis ; Antigens, Bacterial - genetics ; Bacteria ; bacterial load ; Bacterial Load - methods ; Bacterial Proteins - analysis ; Bacterial Proteins - genetics ; cagA gene ; Child ; Child, Preschool ; Costa Rica ; Droplet digital PCR ; Feces - microbiology ; Female ; Genotyping Techniques - methods ; H. pylori ; Helicobacter Infections - microbiology ; Helicobacter pylori ; Helicobacter pylori - genetics ; Helicobacter pylori - isolation &amp; purification ; Humans ; Infant ; Male ; Middle Aged ; Polymerase Chain Reaction - methods ; RNA, Ribosomal, 16S - genetics ; Sensitivity and Specificity ; stool-based assay ; Ulcers ; United States ; Virulence Factors - analysis ; Virulence Factors - genetics ; Young Adult</subject><ispartof>Helicobacter (Cambridge, Mass.), 2016-08, Vol.21 (4), p.325-333</ispartof><rights>2015 John Wiley &amp; Sons Ltd</rights><rights>2015 John Wiley &amp; Sons Ltd.</rights><rights>Copyright © 2016 John Wiley &amp; Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5849-82fa06afca9ae2606acd653e1159357e2394fe86e4b9f38f930edb89fca377443</citedby><cites>FETCH-LOGICAL-c5849-82fa06afca9ae2606acd653e1159357e2394fe86e4b9f38f930edb89fca377443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fhel.12289$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fhel.12289$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26667241$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Talarico, Sarah</creatorcontrib><creatorcontrib>Safaeian, Mahboobeh</creatorcontrib><creatorcontrib>Gonzalez, Paula</creatorcontrib><creatorcontrib>Hildesheim, Allan</creatorcontrib><creatorcontrib>Herrero, Rolando</creatorcontrib><creatorcontrib>Porras, Carolina</creatorcontrib><creatorcontrib>Cortes, Bernal</creatorcontrib><creatorcontrib>Larson, Ann</creatorcontrib><creatorcontrib>Fang, Ferric C.</creatorcontrib><creatorcontrib>Salama, Nina R.</creatorcontrib><title>Quantitative Detection and Genotyping of Helicobacter pylori from Stool using Droplet Digital PCR Reveals Variation in Bacterial Loads that Correlates with cagA Virulence Gene Carriage</title><title>Helicobacter (Cambridge, Mass.)</title><addtitle>Helicobacter</addtitle><description>Background Epidemiologic studies of the carcinogenic stomach bacterium Helicobacter pylori have been limited by the lack of noninvasive detection and genotyping methods. We developed a new stool‐based method for detection, quantification, and partial genotyping of H. pylori using droplet digital PCR (ddPCR), which allows for increased sensitivity and absolute quantification by PCR partitioning. Materials and Methods Stool‐based ddPCR assays for H. pylori 16S gene detection and cagA virulence gene typing were tested using a collection of 50 matched stool and serum samples from Costa Rican volunteers and 29 H. pylori stool antigen‐tested stool samples collected at a US hospital. Results The stool‐based H. pylori 16S ddPCR assay had a sensitivity of 84% and 100% and a specificity of 100% and 71% compared to serology and stool antigen tests, respectively. The stool‐based cagA genotyping assay detected cagA in 22 (88%) of 25 stools from CagA antibody‐positive individuals and four (16%) of 25 stools from CagA antibody‐negative individuals from Costa Rica. All 26 of these samples had a Western‐type cagA allele. Presence of serum CagA antibodies was correlated with a significantly higher load of H. pylori in the stool. Conclusions The stool‐based ddPCR assays are a sensitive, noninvasive method for detection, quantification, and partial genotyping of H. pylori. The quantitative nature of ddPCR‐based H. pylori detection revealed significant variation in bacterial load among individuals that correlates with presence of the cagA virulence gene. These stool‐based ddPCR assays will facilitate future population‐based epidemiologic studies of this important human pathogen.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Antigens</subject><subject>Antigens, Bacterial - analysis</subject><subject>Antigens, Bacterial - genetics</subject><subject>Bacteria</subject><subject>bacterial load</subject><subject>Bacterial Load - methods</subject><subject>Bacterial Proteins - analysis</subject><subject>Bacterial Proteins - genetics</subject><subject>cagA gene</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Costa Rica</subject><subject>Droplet digital PCR</subject><subject>Feces - microbiology</subject><subject>Female</subject><subject>Genotyping Techniques - methods</subject><subject>H. pylori</subject><subject>Helicobacter Infections - microbiology</subject><subject>Helicobacter pylori</subject><subject>Helicobacter pylori - genetics</subject><subject>Helicobacter pylori - isolation &amp; purification</subject><subject>Humans</subject><subject>Infant</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Polymerase Chain Reaction - methods</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>Sensitivity and Specificity</subject><subject>stool-based assay</subject><subject>Ulcers</subject><subject>United States</subject><subject>Virulence Factors - analysis</subject><subject>Virulence Factors - genetics</subject><subject>Young Adult</subject><issn>1083-4389</issn><issn>1523-5378</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1ks1uEzEURkcIREthwQsgS2xgMa1nPD_2BqkkJUFEhRQIEhvL8dyZuHXsYHtS8mY8Hk7SRoCEN76Szz2-lr8keZ7h0yyuswXo0yzPKXuQHGdlTtKS1PRhrDElaUEoO0qeeH-NMS5JwR4nR3lVVXVeZMfJr2kvTFBBBLUGNIQAMihrkDANGoGxYbNSpkO2RWPQStq5kAEcWm20dQq1zi7R52CtRr3fckNnVxoCGqouOjX6NLhCV7AGoT2aCafETq4MervzqIhMrGg8CgsR0MA6B1oE8OhWhQWSojtHM-V6DUbCdh5AA-FiWwdPk0dttMKzu_0k-fru4stgnE4-jt4PziepLGnBUpq3AleilYIJyKtYyqYqCWRZyUhZQ05Y0QKtoJizltCWEQzNnLLYQOq6KMhJ8mbvXfXzJTQSTHBC85VTS-E23ArF_z4xasE7u-YFw6ykNApe3Qmc_dGDD3ypvASthQHbe55RTKsy_tT2rpf_oNe2dyY-b0vlGcMVZZF6vaeks947aA_DZJhv88BjHvguD5F98ef0B_I-ABE42wO3SsPm_yY-vpjcK9N9h_IBfh46hLvhVU3qkn-7HPHpaHr54Tub8Bn5DSkw0qQ</recordid><startdate>201608</startdate><enddate>201608</enddate><creator>Talarico, Sarah</creator><creator>Safaeian, Mahboobeh</creator><creator>Gonzalez, Paula</creator><creator>Hildesheim, Allan</creator><creator>Herrero, Rolando</creator><creator>Porras, Carolina</creator><creator>Cortes, Bernal</creator><creator>Larson, Ann</creator><creator>Fang, Ferric C.</creator><creator>Salama, Nina R.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>C1K</scope><scope>K9.</scope><scope>5PM</scope></search><sort><creationdate>201608</creationdate><title>Quantitative Detection and Genotyping of Helicobacter pylori from Stool using Droplet Digital PCR Reveals Variation in Bacterial Loads that Correlates with cagA Virulence Gene Carriage</title><author>Talarico, Sarah ; Safaeian, Mahboobeh ; Gonzalez, Paula ; Hildesheim, Allan ; Herrero, Rolando ; Porras, Carolina ; Cortes, Bernal ; Larson, Ann ; Fang, Ferric C. ; Salama, Nina R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5849-82fa06afca9ae2606acd653e1159357e2394fe86e4b9f38f930edb89fca377443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Antigens</topic><topic>Antigens, Bacterial - analysis</topic><topic>Antigens, Bacterial - genetics</topic><topic>Bacteria</topic><topic>bacterial load</topic><topic>Bacterial Load - methods</topic><topic>Bacterial Proteins - analysis</topic><topic>Bacterial Proteins - genetics</topic><topic>cagA gene</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Costa Rica</topic><topic>Droplet digital PCR</topic><topic>Feces - microbiology</topic><topic>Female</topic><topic>Genotyping Techniques - methods</topic><topic>H. pylori</topic><topic>Helicobacter Infections - microbiology</topic><topic>Helicobacter pylori</topic><topic>Helicobacter pylori - genetics</topic><topic>Helicobacter pylori - isolation &amp; purification</topic><topic>Humans</topic><topic>Infant</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Polymerase Chain Reaction - methods</topic><topic>RNA, Ribosomal, 16S - genetics</topic><topic>Sensitivity and Specificity</topic><topic>stool-based assay</topic><topic>Ulcers</topic><topic>United States</topic><topic>Virulence Factors - analysis</topic><topic>Virulence Factors - genetics</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Talarico, Sarah</creatorcontrib><creatorcontrib>Safaeian, Mahboobeh</creatorcontrib><creatorcontrib>Gonzalez, Paula</creatorcontrib><creatorcontrib>Hildesheim, Allan</creatorcontrib><creatorcontrib>Herrero, Rolando</creatorcontrib><creatorcontrib>Porras, Carolina</creatorcontrib><creatorcontrib>Cortes, Bernal</creatorcontrib><creatorcontrib>Larson, Ann</creatorcontrib><creatorcontrib>Fang, Ferric C.</creatorcontrib><creatorcontrib>Salama, Nina R.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Helicobacter (Cambridge, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Talarico, Sarah</au><au>Safaeian, Mahboobeh</au><au>Gonzalez, Paula</au><au>Hildesheim, Allan</au><au>Herrero, Rolando</au><au>Porras, Carolina</au><au>Cortes, Bernal</au><au>Larson, Ann</au><au>Fang, Ferric C.</au><au>Salama, Nina R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative Detection and Genotyping of Helicobacter pylori from Stool using Droplet Digital PCR Reveals Variation in Bacterial Loads that Correlates with cagA Virulence Gene Carriage</atitle><jtitle>Helicobacter (Cambridge, Mass.)</jtitle><addtitle>Helicobacter</addtitle><date>2016-08</date><risdate>2016</risdate><volume>21</volume><issue>4</issue><spage>325</spage><epage>333</epage><pages>325-333</pages><issn>1083-4389</issn><eissn>1523-5378</eissn><abstract>Background Epidemiologic studies of the carcinogenic stomach bacterium Helicobacter pylori have been limited by the lack of noninvasive detection and genotyping methods. We developed a new stool‐based method for detection, quantification, and partial genotyping of H. pylori using droplet digital PCR (ddPCR), which allows for increased sensitivity and absolute quantification by PCR partitioning. Materials and Methods Stool‐based ddPCR assays for H. pylori 16S gene detection and cagA virulence gene typing were tested using a collection of 50 matched stool and serum samples from Costa Rican volunteers and 29 H. pylori stool antigen‐tested stool samples collected at a US hospital. Results The stool‐based H. pylori 16S ddPCR assay had a sensitivity of 84% and 100% and a specificity of 100% and 71% compared to serology and stool antigen tests, respectively. The stool‐based cagA genotyping assay detected cagA in 22 (88%) of 25 stools from CagA antibody‐positive individuals and four (16%) of 25 stools from CagA antibody‐negative individuals from Costa Rica. All 26 of these samples had a Western‐type cagA allele. Presence of serum CagA antibodies was correlated with a significantly higher load of H. pylori in the stool. Conclusions The stool‐based ddPCR assays are a sensitive, noninvasive method for detection, quantification, and partial genotyping of H. pylori. The quantitative nature of ddPCR‐based H. pylori detection revealed significant variation in bacterial load among individuals that correlates with presence of the cagA virulence gene. These stool‐based ddPCR assays will facilitate future population‐based epidemiologic studies of this important human pathogen.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>26667241</pmid><doi>10.1111/hel.12289</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1083-4389
ispartof Helicobacter (Cambridge, Mass.), 2016-08, Vol.21 (4), p.325-333
issn 1083-4389
1523-5378
language eng
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source Wiley-Blackwell Journals; MEDLINE
subjects Adolescent
Adult
Aged
Antigens
Antigens, Bacterial - analysis
Antigens, Bacterial - genetics
Bacteria
bacterial load
Bacterial Load - methods
Bacterial Proteins - analysis
Bacterial Proteins - genetics
cagA gene
Child
Child, Preschool
Costa Rica
Droplet digital PCR
Feces - microbiology
Female
Genotyping Techniques - methods
H. pylori
Helicobacter Infections - microbiology
Helicobacter pylori
Helicobacter pylori - genetics
Helicobacter pylori - isolation & purification
Humans
Infant
Male
Middle Aged
Polymerase Chain Reaction - methods
RNA, Ribosomal, 16S - genetics
Sensitivity and Specificity
stool-based assay
Ulcers
United States
Virulence Factors - analysis
Virulence Factors - genetics
Young Adult
title Quantitative Detection and Genotyping of Helicobacter pylori from Stool using Droplet Digital PCR Reveals Variation in Bacterial Loads that Correlates with cagA Virulence Gene Carriage
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