The Effect of Probiotic Treatment on Patients Infected with the H7N9 Influenza Virus

A novel avian-origin influenza A (H7N9) virus emerged and spread among humans in Eastern China in 2013. Prophylactic treatment with antibiotics and probiotics for secondary infection is as important as antiviral treatment. This study aims to assess the ability of probiotic treatment to restore inter...

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Veröffentlicht in:PloS one 2016-03, Vol.11 (3), p.e0151976-e0151976
Hauptverfasser: Hu, Xinjun, Zhang, Hua, Lu, Haifeng, Qian, Guirong, Lv, Longxian, Zhang, Chunxia, Guo, Jing, Jiang, Haiyin, Zheng, Beiwen, Yang, Fengling, Gu, Silan, Chen, Yuanting, Bao, Qiongling, Yu, Liang, Jiang, Xiawei, Hu, Qian, Shi, Haiyan, Gao, Hainv, Li, Lanjuan
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container_issue 3
container_start_page e0151976
container_title PloS one
container_volume 11
creator Hu, Xinjun
Zhang, Hua
Lu, Haifeng
Qian, Guirong
Lv, Longxian
Zhang, Chunxia
Guo, Jing
Jiang, Haiyin
Zheng, Beiwen
Yang, Fengling
Gu, Silan
Chen, Yuanting
Bao, Qiongling
Yu, Liang
Jiang, Xiawei
Hu, Qian
Shi, Haiyan
Gao, Hainv
Li, Lanjuan
description A novel avian-origin influenza A (H7N9) virus emerged and spread among humans in Eastern China in 2013. Prophylactic treatment with antibiotics and probiotics for secondary infection is as important as antiviral treatment. This study aims to assess the ability of probiotic treatment to restore internal homeostasis under antibiotic pressure and to reduce/ameliorate the risk of secondary infections resulting from infection with the H7N9 virus. This is a retrospective study in archival samples. Between April 1 and May 10, 2013, 113 stool, sputum, and blood specimens were collected and analyzed by denaturing gradient gel electrophoresis (DGGE) to determine the composition of the patient microbiomes. Microbial diversity was calculated using Gel-Pro analyzer and Past software. Cluster analysis of DGGE pattern profiles was employed to create a phylogenetic tree for each patient, and multidimensional scaling (MDS) and principal component analysis (PCA) were performed to visualize relationships between individual lanes. Five patients had secondary infections, including Klebsiella pneumonia, Acinetobacter baumanii and Candida albicans infection. The DGGE profiles of fecal samples obtained at different time points from the same individual were clearly different, particularly for patients with secondary infections. Shannon's diversity index and evenness index were lower in all infected groups compared to the control group. After B. subtilis and E. faecium or C. butyricum administration, the fecal bacterial profiles of patients who had not been treated with antibiotics displayed a trend of increasing diversity and evenness. C. butyricum failed to reduce/ameliorate secondary infection in H7N9-infected patients, but administration of B. subtilis and E. faecium appeared to reduce/ameliorate secondary infection in one patient. H7N9 infection might decrease intestinal microbial diversity and species richness in humans. C. butyricum failed to reduce/ameliorate secondary infection in H7N9-infected patients. B. subtilis and E. faecium may also play a role in reducing/ameliorating secondary infection in these patients.
doi_str_mv 10.1371/journal.pone.0151976
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Prophylactic treatment with antibiotics and probiotics for secondary infection is as important as antiviral treatment. This study aims to assess the ability of probiotic treatment to restore internal homeostasis under antibiotic pressure and to reduce/ameliorate the risk of secondary infections resulting from infection with the H7N9 virus. This is a retrospective study in archival samples. Between April 1 and May 10, 2013, 113 stool, sputum, and blood specimens were collected and analyzed by denaturing gradient gel electrophoresis (DGGE) to determine the composition of the patient microbiomes. Microbial diversity was calculated using Gel-Pro analyzer and Past software. Cluster analysis of DGGE pattern profiles was employed to create a phylogenetic tree for each patient, and multidimensional scaling (MDS) and principal component analysis (PCA) were performed to visualize relationships between individual lanes. Five patients had secondary infections, including Klebsiella pneumonia, Acinetobacter baumanii and Candida albicans infection. The DGGE profiles of fecal samples obtained at different time points from the same individual were clearly different, particularly for patients with secondary infections. Shannon's diversity index and evenness index were lower in all infected groups compared to the control group. After B. subtilis and E. faecium or C. butyricum administration, the fecal bacterial profiles of patients who had not been treated with antibiotics displayed a trend of increasing diversity and evenness. C. butyricum failed to reduce/ameliorate secondary infection in H7N9-infected patients, but administration of B. subtilis and E. faecium appeared to reduce/ameliorate secondary infection in one patient. H7N9 infection might decrease intestinal microbial diversity and species richness in humans. C. butyricum failed to reduce/ameliorate secondary infection in H7N9-infected patients. B. subtilis and E. faecium may also play a role in reducing/ameliorating secondary infection in these patients.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0151976</identifier><identifier>PMID: 26987119</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Antibiotics ; Antiviral Agents - therapeutic use ; Avian flu ; Avian influenza ; Bacteria ; Biodiversity ; Biology and Life Sciences ; Cluster analysis ; Coinfection - drug therapy ; Coinfection - microbiology ; Collaboration ; Dosage and administration ; Drug therapy ; Ecology and Environmental Sciences ; Female ; Gel electrophoresis ; Genome, Viral ; Health risks ; Homeostasis ; Hospitals ; Humans ; Infections ; Infectious diseases ; Influenza ; Influenza A ; Influenza A Virus, H7N9 Subtype ; Influenza, Human - drug therapy ; Intestine ; Klebsiella ; Laboratories ; Male ; Medical diagnosis ; Medicine ; Medicine and Health Sciences ; Microbiomes ; Microbiota ; Microorganisms ; Multidimensional scaling ; Paths ; Patient outcomes ; Patients ; Phylogeny ; Pneumonia ; Principal components analysis ; Probiotics ; Probiotics - therapeutic use ; Research and Analysis Methods ; Retrospective Studies ; Risk factors ; Scaling ; Secondary infection ; Species diversity ; Species richness ; Sputum ; Treatment Outcome ; Trends ; Viruses</subject><ispartof>PloS one, 2016-03, Vol.11 (3), p.e0151976-e0151976</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Hu et al. 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Prophylactic treatment with antibiotics and probiotics for secondary infection is as important as antiviral treatment. This study aims to assess the ability of probiotic treatment to restore internal homeostasis under antibiotic pressure and to reduce/ameliorate the risk of secondary infections resulting from infection with the H7N9 virus. This is a retrospective study in archival samples. Between April 1 and May 10, 2013, 113 stool, sputum, and blood specimens were collected and analyzed by denaturing gradient gel electrophoresis (DGGE) to determine the composition of the patient microbiomes. Microbial diversity was calculated using Gel-Pro analyzer and Past software. Cluster analysis of DGGE pattern profiles was employed to create a phylogenetic tree for each patient, and multidimensional scaling (MDS) and principal component analysis (PCA) were performed to visualize relationships between individual lanes. Five patients had secondary infections, including Klebsiella pneumonia, Acinetobacter baumanii and Candida albicans infection. The DGGE profiles of fecal samples obtained at different time points from the same individual were clearly different, particularly for patients with secondary infections. Shannon's diversity index and evenness index were lower in all infected groups compared to the control group. After B. subtilis and E. faecium or C. butyricum administration, the fecal bacterial profiles of patients who had not been treated with antibiotics displayed a trend of increasing diversity and evenness. C. butyricum failed to reduce/ameliorate secondary infection in H7N9-infected patients, but administration of B. subtilis and E. faecium appeared to reduce/ameliorate secondary infection in one patient. H7N9 infection might decrease intestinal microbial diversity and species richness in humans. C. butyricum failed to reduce/ameliorate secondary infection in H7N9-infected patients. B. subtilis and E. faecium may also play a role in reducing/ameliorating secondary infection in these patients.</description><subject>Antibiotics</subject><subject>Antiviral Agents - therapeutic use</subject><subject>Avian flu</subject><subject>Avian influenza</subject><subject>Bacteria</subject><subject>Biodiversity</subject><subject>Biology and Life Sciences</subject><subject>Cluster analysis</subject><subject>Coinfection - drug therapy</subject><subject>Coinfection - microbiology</subject><subject>Collaboration</subject><subject>Dosage and administration</subject><subject>Drug therapy</subject><subject>Ecology and Environmental Sciences</subject><subject>Female</subject><subject>Gel electrophoresis</subject><subject>Genome, Viral</subject><subject>Health risks</subject><subject>Homeostasis</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Influenza</subject><subject>Influenza A</subject><subject>Influenza A Virus, H7N9 Subtype</subject><subject>Influenza, Human - drug therapy</subject><subject>Intestine</subject><subject>Klebsiella</subject><subject>Laboratories</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Multidimensional scaling</subject><subject>Paths</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Phylogeny</subject><subject>Pneumonia</subject><subject>Principal components analysis</subject><subject>Probiotics</subject><subject>Probiotics - therapeutic use</subject><subject>Research and Analysis Methods</subject><subject>Retrospective Studies</subject><subject>Risk factors</subject><subject>Scaling</subject><subject>Secondary infection</subject><subject>Species diversity</subject><subject>Species richness</subject><subject>Sputum</subject><subject>Treatment Outcome</subject><subject>Trends</subject><subject>Viruses</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkltv1DAQhSMEoqXwDxBEQkLwsIsvSWy_IFVVoStVtIKlr9bEmex6lY0XO-H263HYtNqgPqA8ZDT55thzcpLkOSVzygV9t3G9b6GZ71yLc0JzqkTxIDmmirNZwQh_eFAfJU9C2BCSc1kUj5MjVigpKFXHyXK5xvS8rtF0qavTa-9K6zpr0qVH6LbYxnabXkNnYxnSRTuQWKU_bLdOuzh7IT6pod302P6G9Mb6PjxNHtXQBHw2vk-Srx_Ol2cXs8urj4uz08uZKRTrZlLkBTDkRDIOtDQUZYlMEpWJUlVMVcBlnRGGmSC1AaSCG5kbYYwEASD5SfJyr7trXNCjIUFTITIqmKA8Eos9UTnY6J23W_C_tAOr_zacX2nwcd0GNeeGVSUIiarIuKhjWUlRZZxlNCcMotb78bS-3GJloiEemono9Etr13rlvutMqFxQFgXejALefesxdHprg8GmgRZdv793zokSJKKv_kHv326kVhAXsG3t4rlmENWnUSnaptTg0vweKj4Vbq2J6alt7E8G3k4GItPhz24FfQh68eXz_7NXN1P29QG7Rmi6dXBN31nXhimY7UHjXQge6zuTKdFD-G_d0EP49Rj-OPbi8AfdDd2mnf8B0Lj9cg</recordid><startdate>20160317</startdate><enddate>20160317</enddate><creator>Hu, Xinjun</creator><creator>Zhang, Hua</creator><creator>Lu, Haifeng</creator><creator>Qian, Guirong</creator><creator>Lv, Longxian</creator><creator>Zhang, Chunxia</creator><creator>Guo, Jing</creator><creator>Jiang, Haiyin</creator><creator>Zheng, Beiwen</creator><creator>Yang, Fengling</creator><creator>Gu, Silan</creator><creator>Chen, Yuanting</creator><creator>Bao, Qiongling</creator><creator>Yu, Liang</creator><creator>Jiang, Xiawei</creator><creator>Hu, Qian</creator><creator>Shi, Haiyan</creator><creator>Gao, Hainv</creator><creator>Li, Lanjuan</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160317</creationdate><title>The Effect of Probiotic Treatment on Patients Infected with the H7N9 Influenza Virus</title><author>Hu, Xinjun ; Zhang, Hua ; Lu, Haifeng ; Qian, Guirong ; Lv, Longxian ; Zhang, Chunxia ; Guo, Jing ; Jiang, Haiyin ; Zheng, Beiwen ; Yang, Fengling ; Gu, Silan ; Chen, Yuanting ; Bao, Qiongling ; Yu, Liang ; Jiang, Xiawei ; Hu, Qian ; Shi, Haiyan ; Gao, Hainv ; Li, Lanjuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-8756a2e30823a1bc1e8be280947b9d29da38f402e470fcae173c85c7cc8a7aa83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Antibiotics</topic><topic>Antiviral Agents - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Xinjun</au><au>Zhang, Hua</au><au>Lu, Haifeng</au><au>Qian, Guirong</au><au>Lv, Longxian</au><au>Zhang, Chunxia</au><au>Guo, Jing</au><au>Jiang, Haiyin</au><au>Zheng, Beiwen</au><au>Yang, Fengling</au><au>Gu, Silan</au><au>Chen, Yuanting</au><au>Bao, Qiongling</au><au>Yu, Liang</au><au>Jiang, Xiawei</au><au>Hu, Qian</au><au>Shi, Haiyan</au><au>Gao, Hainv</au><au>Li, Lanjuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Effect of Probiotic Treatment on Patients Infected with the H7N9 Influenza Virus</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-03-17</date><risdate>2016</risdate><volume>11</volume><issue>3</issue><spage>e0151976</spage><epage>e0151976</epage><pages>e0151976-e0151976</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>A novel avian-origin influenza A (H7N9) virus emerged and spread among humans in Eastern China in 2013. Prophylactic treatment with antibiotics and probiotics for secondary infection is as important as antiviral treatment. This study aims to assess the ability of probiotic treatment to restore internal homeostasis under antibiotic pressure and to reduce/ameliorate the risk of secondary infections resulting from infection with the H7N9 virus. This is a retrospective study in archival samples. Between April 1 and May 10, 2013, 113 stool, sputum, and blood specimens were collected and analyzed by denaturing gradient gel electrophoresis (DGGE) to determine the composition of the patient microbiomes. Microbial diversity was calculated using Gel-Pro analyzer and Past software. Cluster analysis of DGGE pattern profiles was employed to create a phylogenetic tree for each patient, and multidimensional scaling (MDS) and principal component analysis (PCA) were performed to visualize relationships between individual lanes. Five patients had secondary infections, including Klebsiella pneumonia, Acinetobacter baumanii and Candida albicans infection. The DGGE profiles of fecal samples obtained at different time points from the same individual were clearly different, particularly for patients with secondary infections. Shannon's diversity index and evenness index were lower in all infected groups compared to the control group. After B. subtilis and E. faecium or C. butyricum administration, the fecal bacterial profiles of patients who had not been treated with antibiotics displayed a trend of increasing diversity and evenness. C. butyricum failed to reduce/ameliorate secondary infection in H7N9-infected patients, but administration of B. subtilis and E. faecium appeared to reduce/ameliorate secondary infection in one patient. H7N9 infection might decrease intestinal microbial diversity and species richness in humans. C. butyricum failed to reduce/ameliorate secondary infection in H7N9-infected patients. B. subtilis and E. faecium may also play a role in reducing/ameliorating secondary infection in these patients.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26987119</pmid><doi>10.1371/journal.pone.0151976</doi><tpages>e0151976</tpages><oa>free_for_read</oa></addata></record>
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1932-6203
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source PLoS; MEDLINE; EZB Free E-Journals; DOAJ Directory of Open Access Journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Antibiotics
Antiviral Agents - therapeutic use
Avian flu
Avian influenza
Bacteria
Biodiversity
Biology and Life Sciences
Cluster analysis
Coinfection - drug therapy
Coinfection - microbiology
Collaboration
Dosage and administration
Drug therapy
Ecology and Environmental Sciences
Female
Gel electrophoresis
Genome, Viral
Health risks
Homeostasis
Hospitals
Humans
Infections
Infectious diseases
Influenza
Influenza A
Influenza A Virus, H7N9 Subtype
Influenza, Human - drug therapy
Intestine
Klebsiella
Laboratories
Male
Medical diagnosis
Medicine
Medicine and Health Sciences
Microbiomes
Microbiota
Microorganisms
Multidimensional scaling
Paths
Patient outcomes
Patients
Phylogeny
Pneumonia
Principal components analysis
Probiotics
Probiotics - therapeutic use
Research and Analysis Methods
Retrospective Studies
Risk factors
Scaling
Secondary infection
Species diversity
Species richness
Sputum
Treatment Outcome
Trends
Viruses
title The Effect of Probiotic Treatment on Patients Infected with the H7N9 Influenza Virus
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