Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients
Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. Howev...
Ausführliche Beschreibung
Autor*in: |
Nessrine Souai [verfasserIn] Oumaima Zidi [verfasserIn] Amor Mosbah [verfasserIn] Imen Kosai [verfasserIn] Jameleddine El Manaa [verfasserIn] Naima Bel Mokhtar [verfasserIn] Elias Asimakis [verfasserIn] Panagiota Stathopoulou [verfasserIn] Ameur Cherif [verfasserIn] George Tsiamis [verfasserIn] Soumaya Kouidhi [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Übergeordnetes Werk: |
In: Microorganisms - MDPI AG, 2013, 8(2020), 11, p 1724 |
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Übergeordnetes Werk: |
volume:8 ; year:2020 ; number:11, p 1724 |
Links: |
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DOI / URN: |
10.3390/microorganisms8111724 |
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Katalog-ID: |
DOAJ053791215 |
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10.3390/microorganisms8111724 doi (DE-627)DOAJ053791215 (DE-599)DOAJ31fc911a9fb049c398b7076a6ca455b7 DE-627 ger DE-627 rakwb eng QH301-705.5 Nessrine Souai verfasserin aut Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes. 16S rRNA gene amplicon sequencing dysbiosis bioinformatics kidney transplantation Biology (General) Oumaima Zidi verfasserin aut Amor Mosbah verfasserin aut Imen Kosai verfasserin aut Jameleddine El Manaa verfasserin aut Naima Bel Mokhtar verfasserin aut Elias Asimakis verfasserin aut Panagiota Stathopoulou verfasserin aut Ameur Cherif verfasserin aut George Tsiamis verfasserin aut Soumaya Kouidhi verfasserin aut In Microorganisms MDPI AG, 2013 8(2020), 11, p 1724 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:8 year:2020 number:11, p 1724 https://doi.org/10.3390/microorganisms8111724 kostenfrei https://doaj.org/article/31fc911a9fb049c398b7076a6ca455b7 kostenfrei https://www.mdpi.com/2076-2607/8/11/1724 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 11, p 1724 |
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10.3390/microorganisms8111724 doi (DE-627)DOAJ053791215 (DE-599)DOAJ31fc911a9fb049c398b7076a6ca455b7 DE-627 ger DE-627 rakwb eng QH301-705.5 Nessrine Souai verfasserin aut Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes. 16S rRNA gene amplicon sequencing dysbiosis bioinformatics kidney transplantation Biology (General) Oumaima Zidi verfasserin aut Amor Mosbah verfasserin aut Imen Kosai verfasserin aut Jameleddine El Manaa verfasserin aut Naima Bel Mokhtar verfasserin aut Elias Asimakis verfasserin aut Panagiota Stathopoulou verfasserin aut Ameur Cherif verfasserin aut George Tsiamis verfasserin aut Soumaya Kouidhi verfasserin aut In Microorganisms MDPI AG, 2013 8(2020), 11, p 1724 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:8 year:2020 number:11, p 1724 https://doi.org/10.3390/microorganisms8111724 kostenfrei https://doaj.org/article/31fc911a9fb049c398b7076a6ca455b7 kostenfrei https://www.mdpi.com/2076-2607/8/11/1724 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 11, p 1724 |
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10.3390/microorganisms8111724 doi (DE-627)DOAJ053791215 (DE-599)DOAJ31fc911a9fb049c398b7076a6ca455b7 DE-627 ger DE-627 rakwb eng QH301-705.5 Nessrine Souai verfasserin aut Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes. 16S rRNA gene amplicon sequencing dysbiosis bioinformatics kidney transplantation Biology (General) Oumaima Zidi verfasserin aut Amor Mosbah verfasserin aut Imen Kosai verfasserin aut Jameleddine El Manaa verfasserin aut Naima Bel Mokhtar verfasserin aut Elias Asimakis verfasserin aut Panagiota Stathopoulou verfasserin aut Ameur Cherif verfasserin aut George Tsiamis verfasserin aut Soumaya Kouidhi verfasserin aut In Microorganisms MDPI AG, 2013 8(2020), 11, p 1724 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:8 year:2020 number:11, p 1724 https://doi.org/10.3390/microorganisms8111724 kostenfrei https://doaj.org/article/31fc911a9fb049c398b7076a6ca455b7 kostenfrei https://www.mdpi.com/2076-2607/8/11/1724 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 11, p 1724 |
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10.3390/microorganisms8111724 doi (DE-627)DOAJ053791215 (DE-599)DOAJ31fc911a9fb049c398b7076a6ca455b7 DE-627 ger DE-627 rakwb eng QH301-705.5 Nessrine Souai verfasserin aut Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes. 16S rRNA gene amplicon sequencing dysbiosis bioinformatics kidney transplantation Biology (General) Oumaima Zidi verfasserin aut Amor Mosbah verfasserin aut Imen Kosai verfasserin aut Jameleddine El Manaa verfasserin aut Naima Bel Mokhtar verfasserin aut Elias Asimakis verfasserin aut Panagiota Stathopoulou verfasserin aut Ameur Cherif verfasserin aut George Tsiamis verfasserin aut Soumaya Kouidhi verfasserin aut In Microorganisms MDPI AG, 2013 8(2020), 11, p 1724 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:8 year:2020 number:11, p 1724 https://doi.org/10.3390/microorganisms8111724 kostenfrei https://doaj.org/article/31fc911a9fb049c398b7076a6ca455b7 kostenfrei https://www.mdpi.com/2076-2607/8/11/1724 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 11, p 1724 |
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10.3390/microorganisms8111724 doi (DE-627)DOAJ053791215 (DE-599)DOAJ31fc911a9fb049c398b7076a6ca455b7 DE-627 ger DE-627 rakwb eng QH301-705.5 Nessrine Souai verfasserin aut Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes. 16S rRNA gene amplicon sequencing dysbiosis bioinformatics kidney transplantation Biology (General) Oumaima Zidi verfasserin aut Amor Mosbah verfasserin aut Imen Kosai verfasserin aut Jameleddine El Manaa verfasserin aut Naima Bel Mokhtar verfasserin aut Elias Asimakis verfasserin aut Panagiota Stathopoulou verfasserin aut Ameur Cherif verfasserin aut George Tsiamis verfasserin aut Soumaya Kouidhi verfasserin aut In Microorganisms MDPI AG, 2013 8(2020), 11, p 1724 (DE-627)750370696 (DE-600)2720891-6 20762607 nnns volume:8 year:2020 number:11, p 1724 https://doi.org/10.3390/microorganisms8111724 kostenfrei https://doaj.org/article/31fc911a9fb049c398b7076a6ca455b7 kostenfrei https://www.mdpi.com/2076-2607/8/11/1724 kostenfrei https://doaj.org/toc/2076-2607 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 11, p 1724 |
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Impact of the Post-Transplant Period and Lifestyle Diseases on Human Gut Microbiota in Kidney Graft Recipients |
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Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes. |
abstractGer |
Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes. |
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Gaining long-term graft function and patient life quality remain critical challenges following kidney transplantation. Advances in immunology, gnotobiotics, and culture-independent molecular techniques have provided growing insights into the complex relationship of the microbiome and the host. However, little is known about the over time-shift of the gut microbiota in the context of kidney transplantation and its impact on both graft and health stability. Here we aimed to characterize the structure of gut microbiota within stable kidney graft recipients. We enrolled forty kidney transplant patients after at least three months of transplantation and compared them to eighteen healthy controls. The overall microbial community structure of the kidney transplanted group was clearly different from control subjects. We found lower relative abundances of Actinobacteria, Bacteroidetes, and Verrucomicrobia within the patient group and a higher abundance of Proteobacteria compared to the control group. Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. Analysis of fecal microbiota could be useful for nephrologists as a new clinical tool that can improve kidney allograft monitoring and outcomes. |
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Both richness and Shannon diversity indexes were significantly lower in the kidney graft recipients than in healthy controls. Post-graft period was positively correlated with the relative abundance of the Proteobacteria phylum, especially <i<Escherichia.Shigella</i< genus. Interestingly, only <i<Parabacteroides</i< was found to significantly differentiate patients that were not suffering from lifestyle diseases and those who suffer from post-graft complications. Furthermore, network analysis showed that the occurrence of lifestyle diseases was significantly linked with a higher number of negative interactions of <i<Sutterella</i< and <i<Succinivibrio</i< genera within patients. This study characterizes gut microbiome fluctuation in stable kidney transplant patients after a long post-allograft period. 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