A Multi-Factorial Observational Study on Sequential Fecal Microbiota Transplant in Patients with Medically Refractory Clostridioides difficile Infection

Fecal microbiota transplantation (FMT) is highly effective in recurrent Clostridioides difficile infection (CDI); increasing evidence supports FMT in severe or fulminant Clostridioides difficile infection (SFCDI). However, the multifactorial mechanisms that underpin the efficacy of FMT are not fully...

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Veröffentlicht in:Cells (Basel, Switzerland) Switzerland), 2021-11, Vol.10 (11), p.3234, Article 3234
Hauptverfasser: Monaghan, Tanya M., Duggal, Niharika A., Rosati, Elisa, Griffin, Ruth, Hughes, Jamie, Roach, Brandi, Yang, David Y., Wang, Christopher, Wong, Karen, Saxinger, Lynora, Pucic-Bakovic, Maja, Vuckovic, Frano, Klicek, Filip, Lauc, Gordan, Tighe, Paddy, Mullish, Benjamin H., Blanco, Jesus Miguens, McDonald, Julie A. K., Marchesi, Julian R., Xue, Ning, Dottorini, Tania, Acharjee, Animesh, Franke, Andre, Li, Yingrui, Wong, Gane Ka-Shu, Polytarchou, Christos, Yau, Tung On, Christodoulou, Niki, Hatziapostolou, Maria, Wang, Minkun, Russell, Lindsey A., Kao, Dina H.
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container_issue 11
container_start_page 3234
container_title Cells (Basel, Switzerland)
container_volume 10
creator Monaghan, Tanya M.
Duggal, Niharika A.
Rosati, Elisa
Griffin, Ruth
Hughes, Jamie
Roach, Brandi
Yang, David Y.
Wang, Christopher
Wong, Karen
Saxinger, Lynora
Pucic-Bakovic, Maja
Vuckovic, Frano
Klicek, Filip
Lauc, Gordan
Tighe, Paddy
Mullish, Benjamin H.
Blanco, Jesus Miguens
McDonald, Julie A. K.
Marchesi, Julian R.
Xue, Ning
Dottorini, Tania
Acharjee, Animesh
Franke, Andre
Li, Yingrui
Wong, Gane Ka-Shu
Polytarchou, Christos
Yau, Tung On
Christodoulou, Niki
Hatziapostolou, Maria
Wang, Minkun
Russell, Lindsey A.
Kao, Dina H.
description Fecal microbiota transplantation (FMT) is highly effective in recurrent Clostridioides difficile infection (CDI); increasing evidence supports FMT in severe or fulminant Clostridioides difficile infection (SFCDI). However, the multifactorial mechanisms that underpin the efficacy of FMT are not fully understood. Systems biology approaches using high-throughput technologies may help with mechanistic dissection of host-microbial interactions. Here, we have undertaken a deep phenomics study on four adults receiving sequential FMT for SFCDI, in which we performed a longitudinal, integrative analysis of multiple host factors and intestinal microbiome changes. Stool samples were profiled for changes in gut microbiota and metabolites and blood samples for alterations in targeted epigenomic, metabonomic, glycomic, immune proteomic, immunophenotyping, immune functional assays, and T-cell receptor (TCR) repertoires, respectively. We characterised temporal trajectories in gut microbial and host immunometabolic data sets in three responders and one non-responder to sequential FMT. A total of 562 features were used for analysis, of which 78 features were identified, which differed between the responders and the non-responder. The observed dynamic phenotypic changes may potentially suggest immunosenescent signals in the non-responder and may help to underpin the mechanisms accompanying successful FMT, although our study is limited by a small sample size and significant heterogeneity in patient baseline characteristics. Our multi-omics integrative longitudinal analytical approach extends the knowledge regarding mechanisms of efficacy of FMT and highlights preliminary novel signatures, which should be validated in larger studies.
doi_str_mv 10.3390/cells10113234
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K. ; Marchesi, Julian R. ; Xue, Ning ; Dottorini, Tania ; Acharjee, Animesh ; Franke, Andre ; Li, Yingrui ; Wong, Gane Ka-Shu ; Polytarchou, Christos ; Yau, Tung On ; Christodoulou, Niki ; Hatziapostolou, Maria ; Wang, Minkun ; Russell, Lindsey A. ; Kao, Dina H.</creator><creatorcontrib>Monaghan, Tanya M. ; Duggal, Niharika A. ; Rosati, Elisa ; Griffin, Ruth ; Hughes, Jamie ; Roach, Brandi ; Yang, David Y. ; Wang, Christopher ; Wong, Karen ; Saxinger, Lynora ; Pucic-Bakovic, Maja ; Vuckovic, Frano ; Klicek, Filip ; Lauc, Gordan ; Tighe, Paddy ; Mullish, Benjamin H. ; Blanco, Jesus Miguens ; McDonald, Julie A. K. ; Marchesi, Julian R. ; Xue, Ning ; Dottorini, Tania ; Acharjee, Animesh ; Franke, Andre ; Li, Yingrui ; Wong, Gane Ka-Shu ; Polytarchou, Christos ; Yau, Tung On ; Christodoulou, Niki ; Hatziapostolou, Maria ; Wang, Minkun ; Russell, Lindsey A. ; Kao, Dina H.</creatorcontrib><description>Fecal microbiota transplantation (FMT) is highly effective in recurrent Clostridioides difficile infection (CDI); increasing evidence supports FMT in severe or fulminant Clostridioides difficile infection (SFCDI). However, the multifactorial mechanisms that underpin the efficacy of FMT are not fully understood. Systems biology approaches using high-throughput technologies may help with mechanistic dissection of host-microbial interactions. Here, we have undertaken a deep phenomics study on four adults receiving sequential FMT for SFCDI, in which we performed a longitudinal, integrative analysis of multiple host factors and intestinal microbiome changes. Stool samples were profiled for changes in gut microbiota and metabolites and blood samples for alterations in targeted epigenomic, metabonomic, glycomic, immune proteomic, immunophenotyping, immune functional assays, and T-cell receptor (TCR) repertoires, respectively. We characterised temporal trajectories in gut microbial and host immunometabolic data sets in three responders and one non-responder to sequential FMT. A total of 562 features were used for analysis, of which 78 features were identified, which differed between the responders and the non-responder. The observed dynamic phenotypic changes may potentially suggest immunosenescent signals in the non-responder and may help to underpin the mechanisms accompanying successful FMT, although our study is limited by a small sample size and significant heterogeneity in patient baseline characteristics. 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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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K.</creatorcontrib><creatorcontrib>Marchesi, Julian R.</creatorcontrib><creatorcontrib>Xue, Ning</creatorcontrib><creatorcontrib>Dottorini, Tania</creatorcontrib><creatorcontrib>Acharjee, Animesh</creatorcontrib><creatorcontrib>Franke, Andre</creatorcontrib><creatorcontrib>Li, Yingrui</creatorcontrib><creatorcontrib>Wong, Gane Ka-Shu</creatorcontrib><creatorcontrib>Polytarchou, Christos</creatorcontrib><creatorcontrib>Yau, Tung On</creatorcontrib><creatorcontrib>Christodoulou, Niki</creatorcontrib><creatorcontrib>Hatziapostolou, Maria</creatorcontrib><creatorcontrib>Wang, Minkun</creatorcontrib><creatorcontrib>Russell, Lindsey A.</creatorcontrib><creatorcontrib>Kao, Dina H.</creatorcontrib><title>A Multi-Factorial Observational Study on Sequential Fecal Microbiota Transplant in Patients with Medically Refractory Clostridioides difficile Infection</title><title>Cells (Basel, Switzerland)</title><addtitle>CELLS-BASEL</addtitle><addtitle>Cells</addtitle><description>Fecal microbiota transplantation (FMT) is highly effective in recurrent Clostridioides difficile infection (CDI); increasing evidence supports FMT in severe or fulminant Clostridioides difficile infection (SFCDI). However, the multifactorial mechanisms that underpin the efficacy of FMT are not fully understood. Systems biology approaches using high-throughput technologies may help with mechanistic dissection of host-microbial interactions. Here, we have undertaken a deep phenomics study on four adults receiving sequential FMT for SFCDI, in which we performed a longitudinal, integrative analysis of multiple host factors and intestinal microbiome changes. Stool samples were profiled for changes in gut microbiota and metabolites and blood samples for alterations in targeted epigenomic, metabonomic, glycomic, immune proteomic, immunophenotyping, immune functional assays, and T-cell receptor (TCR) repertoires, respectively. We characterised temporal trajectories in gut microbial and host immunometabolic data sets in three responders and one non-responder to sequential FMT. A total of 562 features were used for analysis, of which 78 features were identified, which differed between the responders and the non-responder. The observed dynamic phenotypic changes may potentially suggest immunosenescent signals in the non-responder and may help to underpin the mechanisms accompanying successful FMT, although our study is limited by a small sample size and significant heterogeneity in patient baseline characteristics. Our multi-omics integrative longitudinal analytical approach extends the knowledge regarding mechanisms of efficacy of FMT and highlights preliminary novel signatures, which should be validated in larger studies.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Animals</subject><subject>Antibiotics</subject><subject>Antibodies</subject><subject>Antibodies, Neutralizing - metabolism</subject><subject>Bacterial Toxins - immunology</subject><subject>Bile</subject><subject>Blood</subject><subject>Cell Biology</subject><subject>Chlorocebus aethiops</subject><subject>Chromatography</subject><subject>Clinical outcomes</subject><subject>Clostridioides difficile</subject><subject>Clostridium Infections - immunology</subject><subject>Clostridium Infections - microbiology</subject><subject>Clostridium Infections - therapy</subject><subject>Cluster Analysis</subject><subject>Colonoscopy</subject><subject>Diarrhea</subject><subject>Digestive system</subject><subject>Fatty acids</subject><subject>Fecal Microbiota Transplantation</subject><subject>Fecal microflora</subject><subject>Feces</subject><subject>Feces - microbiology</subject><subject>Female</subject><subject>Fibroblasts</subject><subject>Gastrointestinal Microbiome</subject><subject>Gastrointestinal tract</subject><subject>Genomics</subject><subject>Growth factors</subject><subject>host-microbial interactions</subject><subject>Humans</subject><subject>Immunosenescence</subject><subject>Infections</subject><subject>Inflammatory bowel disease</subject><subject>Intestinal microflora</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Lymphocytes T</subject><subject>Male</subject><subject>Mass spectrometry</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Middle Aged</subject><subject>Observational studies</subject><subject>Pathogenesis</subject><subject>Patients</subject><subject>Phylogeny</subject><subject>Proteomics</subject><subject>Receptors, Antigen, T-Cell - metabolism</subject><subject>Recurrent infection</subject><subject>Science &amp; Technology</subject><subject>Scientific imaging</subject><subject>Success</subject><subject>systems biology</subject><subject>T cell receptors</subject><subject>Time Factors</subject><subject>Transplantation</subject><subject>Treatment Outcome</subject><subject>Vero Cells</subject><issn>2073-4409</issn><issn>2073-4409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkstuEzEUhkcIRKvSJVtkiQ0SGrDHHs_MBqkaNRCpUREta8uX49bRZBxsT6u8CY-Lk5SoYYUXvn7nP7bPXxRvCf5EaYc_axiGSDAhtKLsRXFa4YaWjOHu5bP5SXEe4xLn1hJOcP26OKGspYTV_LT4fYEW05BcOZM6-eDkgK5VhPAgk_NjXt2kyWyQH9EN_JpgTFtiBjr3C6eDV84niW6DHON6kGNCbkTfc2wmI3p06R4twLiMDxv0A2zYZdmgfvAxBWecdwYiMs5ap90AaD5a0NvUb4pXVg4Rzp_Gs-Ln7PK2_1ZeXX-d9xdXpWYtSaVSFKQhinREt4paqmuLgUOrO8WN1oQZY2jDWg4aKmNqyRlRmBOZeU0sPSvme13j5VKsg1vJsBFeOrHb8OFOyJCcHkA0Das7jDWmClgltWx025BaW9xxouoqa33Za60ntQKj8ycEORyJHp-M7l7c-QfR8orVtMsCH54Egs-_HZNYubgtshzBT1FUHDNMeFfRjL7_B136KeSK7agKV01bN5kq91QuVYwB7OEyBIuthcSRhTL_7vkLDvRfw2Sg3QOPoLyNOhdawwHLHmsqRruWb-1Gepd2Nur9NKYc-vH_Q-kfrufnBw</recordid><startdate>20211119</startdate><enddate>20211119</enddate><creator>Monaghan, Tanya M.</creator><creator>Duggal, Niharika A.</creator><creator>Rosati, Elisa</creator><creator>Griffin, Ruth</creator><creator>Hughes, Jamie</creator><creator>Roach, Brandi</creator><creator>Yang, David Y.</creator><creator>Wang, Christopher</creator><creator>Wong, Karen</creator><creator>Saxinger, Lynora</creator><creator>Pucic-Bakovic, Maja</creator><creator>Vuckovic, Frano</creator><creator>Klicek, Filip</creator><creator>Lauc, Gordan</creator><creator>Tighe, Paddy</creator><creator>Mullish, Benjamin H.</creator><creator>Blanco, Jesus Miguens</creator><creator>McDonald, Julie A. 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K. ; Marchesi, Julian R. ; Xue, Ning ; Dottorini, Tania ; Acharjee, Animesh ; Franke, Andre ; Li, Yingrui ; Wong, Gane Ka-Shu ; Polytarchou, Christos ; Yau, Tung On ; Christodoulou, Niki ; Hatziapostolou, Maria ; Wang, Minkun ; Russell, Lindsey A. ; Kao, Dina H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-bb3ead1b191c8b3f3c5f0e6e8c9b6dcc14ddd37486ece2dd5a641b061a1c8c1f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Animals</topic><topic>Antibiotics</topic><topic>Antibodies</topic><topic>Antibodies, Neutralizing - metabolism</topic><topic>Bacterial Toxins - immunology</topic><topic>Bile</topic><topic>Blood</topic><topic>Cell Biology</topic><topic>Chlorocebus aethiops</topic><topic>Chromatography</topic><topic>Clinical outcomes</topic><topic>Clostridioides difficile</topic><topic>Clostridium Infections - immunology</topic><topic>Clostridium Infections - microbiology</topic><topic>Clostridium Infections - therapy</topic><topic>Cluster Analysis</topic><topic>Colonoscopy</topic><topic>Diarrhea</topic><topic>Digestive system</topic><topic>Fatty acids</topic><topic>Fecal Microbiota Transplantation</topic><topic>Fecal microflora</topic><topic>Feces</topic><topic>Feces - microbiology</topic><topic>Female</topic><topic>Fibroblasts</topic><topic>Gastrointestinal Microbiome</topic><topic>Gastrointestinal tract</topic><topic>Genomics</topic><topic>Growth factors</topic><topic>host-microbial interactions</topic><topic>Humans</topic><topic>Immunosenescence</topic><topic>Infections</topic><topic>Inflammatory bowel disease</topic><topic>Intestinal microflora</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Lymphocytes T</topic><topic>Male</topic><topic>Mass spectrometry</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Middle Aged</topic><topic>Observational studies</topic><topic>Pathogenesis</topic><topic>Patients</topic><topic>Phylogeny</topic><topic>Proteomics</topic><topic>Receptors, Antigen, T-Cell - metabolism</topic><topic>Recurrent infection</topic><topic>Science &amp; Technology</topic><topic>Scientific imaging</topic><topic>Success</topic><topic>systems biology</topic><topic>T cell receptors</topic><topic>Time Factors</topic><topic>Transplantation</topic><topic>Treatment Outcome</topic><topic>Vero Cells</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Monaghan, Tanya M.</creatorcontrib><creatorcontrib>Duggal, Niharika A.</creatorcontrib><creatorcontrib>Rosati, Elisa</creatorcontrib><creatorcontrib>Griffin, Ruth</creatorcontrib><creatorcontrib>Hughes, Jamie</creatorcontrib><creatorcontrib>Roach, Brandi</creatorcontrib><creatorcontrib>Yang, David Y.</creatorcontrib><creatorcontrib>Wang, Christopher</creatorcontrib><creatorcontrib>Wong, Karen</creatorcontrib><creatorcontrib>Saxinger, Lynora</creatorcontrib><creatorcontrib>Pucic-Bakovic, Maja</creatorcontrib><creatorcontrib>Vuckovic, Frano</creatorcontrib><creatorcontrib>Klicek, Filip</creatorcontrib><creatorcontrib>Lauc, Gordan</creatorcontrib><creatorcontrib>Tighe, Paddy</creatorcontrib><creatorcontrib>Mullish, Benjamin H.</creatorcontrib><creatorcontrib>Blanco, Jesus Miguens</creatorcontrib><creatorcontrib>McDonald, Julie A. K.</creatorcontrib><creatorcontrib>Marchesi, Julian R.</creatorcontrib><creatorcontrib>Xue, Ning</creatorcontrib><creatorcontrib>Dottorini, Tania</creatorcontrib><creatorcontrib>Acharjee, Animesh</creatorcontrib><creatorcontrib>Franke, Andre</creatorcontrib><creatorcontrib>Li, Yingrui</creatorcontrib><creatorcontrib>Wong, Gane Ka-Shu</creatorcontrib><creatorcontrib>Polytarchou, Christos</creatorcontrib><creatorcontrib>Yau, Tung On</creatorcontrib><creatorcontrib>Christodoulou, Niki</creatorcontrib><creatorcontrib>Hatziapostolou, Maria</creatorcontrib><creatorcontrib>Wang, Minkun</creatorcontrib><creatorcontrib>Russell, Lindsey A.</creatorcontrib><creatorcontrib>Kao, Dina H.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Cells (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Monaghan, Tanya M.</au><au>Duggal, Niharika A.</au><au>Rosati, Elisa</au><au>Griffin, Ruth</au><au>Hughes, Jamie</au><au>Roach, Brandi</au><au>Yang, David Y.</au><au>Wang, Christopher</au><au>Wong, Karen</au><au>Saxinger, Lynora</au><au>Pucic-Bakovic, Maja</au><au>Vuckovic, Frano</au><au>Klicek, Filip</au><au>Lauc, Gordan</au><au>Tighe, Paddy</au><au>Mullish, Benjamin H.</au><au>Blanco, Jesus Miguens</au><au>McDonald, Julie A. K.</au><au>Marchesi, Julian R.</au><au>Xue, Ning</au><au>Dottorini, Tania</au><au>Acharjee, Animesh</au><au>Franke, Andre</au><au>Li, Yingrui</au><au>Wong, Gane Ka-Shu</au><au>Polytarchou, Christos</au><au>Yau, Tung On</au><au>Christodoulou, Niki</au><au>Hatziapostolou, Maria</au><au>Wang, Minkun</au><au>Russell, Lindsey A.</au><au>Kao, Dina H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multi-Factorial Observational Study on Sequential Fecal Microbiota Transplant in Patients with Medically Refractory Clostridioides difficile Infection</atitle><jtitle>Cells (Basel, Switzerland)</jtitle><stitle>CELLS-BASEL</stitle><addtitle>Cells</addtitle><date>2021-11-19</date><risdate>2021</risdate><volume>10</volume><issue>11</issue><spage>3234</spage><pages>3234-</pages><artnum>3234</artnum><issn>2073-4409</issn><eissn>2073-4409</eissn><abstract>Fecal microbiota transplantation (FMT) is highly effective in recurrent Clostridioides difficile infection (CDI); increasing evidence supports FMT in severe or fulminant Clostridioides difficile infection (SFCDI). However, the multifactorial mechanisms that underpin the efficacy of FMT are not fully understood. Systems biology approaches using high-throughput technologies may help with mechanistic dissection of host-microbial interactions. Here, we have undertaken a deep phenomics study on four adults receiving sequential FMT for SFCDI, in which we performed a longitudinal, integrative analysis of multiple host factors and intestinal microbiome changes. Stool samples were profiled for changes in gut microbiota and metabolites and blood samples for alterations in targeted epigenomic, metabonomic, glycomic, immune proteomic, immunophenotyping, immune functional assays, and T-cell receptor (TCR) repertoires, respectively. We characterised temporal trajectories in gut microbial and host immunometabolic data sets in three responders and one non-responder to sequential FMT. A total of 562 features were used for analysis, of which 78 features were identified, which differed between the responders and the non-responder. The observed dynamic phenotypic changes may potentially suggest immunosenescent signals in the non-responder and may help to underpin the mechanisms accompanying successful FMT, although our study is limited by a small sample size and significant heterogeneity in patient baseline characteristics. Our multi-omics integrative longitudinal analytical approach extends the knowledge regarding mechanisms of efficacy of FMT and highlights preliminary novel signatures, which should be validated in larger studies.</abstract><cop>BASEL</cop><pub>Mdpi</pub><pmid>34831456</pmid><doi>10.3390/cells10113234</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0003-2735-7010</orcidid><orcidid>https://orcid.org/0000-0003-0866-623X</orcidid><orcidid>https://orcid.org/0000-0003-1840-9560</orcidid><orcidid>https://orcid.org/0000-0002-2635-6422</orcidid><orcidid>https://orcid.org/0000-0001-6300-3100</orcidid><orcidid>https://orcid.org/0000-0001-7733-906X</orcidid><orcidid>https://orcid.org/0000-0001-6045-4053</orcidid><orcidid>https://orcid.org/0000-0001-7622-3997</orcidid><orcidid>https://orcid.org/0000-0001-8634-0775</orcidid><orcidid>https://orcid.org/0000-0002-0269-059X</orcidid><orcidid>https://orcid.org/0000-0002-7994-5239</orcidid><orcidid>https://orcid.org/0000-0002-6245-8880</orcidid><orcidid>https://orcid.org/0000-0003-4459-4632</orcidid><orcidid>https://orcid.org/0000-0003-0739-6047</orcidid><orcidid>https://orcid.org/0000-0002-6096-0586</orcidid><orcidid>https://orcid.org/0000-0002-3283-0370</orcidid><oa>free_for_read</oa></addata></record>
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subjects Aged
Aged, 80 and over
Animals
Antibiotics
Antibodies
Antibodies, Neutralizing - metabolism
Bacterial Toxins - immunology
Bile
Blood
Cell Biology
Chlorocebus aethiops
Chromatography
Clinical outcomes
Clostridioides difficile
Clostridium Infections - immunology
Clostridium Infections - microbiology
Clostridium Infections - therapy
Cluster Analysis
Colonoscopy
Diarrhea
Digestive system
Fatty acids
Fecal Microbiota Transplantation
Fecal microflora
Feces
Feces - microbiology
Female
Fibroblasts
Gastrointestinal Microbiome
Gastrointestinal tract
Genomics
Growth factors
host-microbial interactions
Humans
Immunosenescence
Infections
Inflammatory bowel disease
Intestinal microflora
Life Sciences & Biomedicine
Lymphocytes T
Male
Mass spectrometry
Microbiomes
Microbiota
Middle Aged
Observational studies
Pathogenesis
Patients
Phylogeny
Proteomics
Receptors, Antigen, T-Cell - metabolism
Recurrent infection
Science & Technology
Scientific imaging
Success
systems biology
T cell receptors
Time Factors
Transplantation
Treatment Outcome
Vero Cells
title A Multi-Factorial Observational Study on Sequential Fecal Microbiota Transplant in Patients with Medically Refractory Clostridioides difficile Infection
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