Literature DB >> 33625548

Gut microbiota alterations associated with antibody-mediated rejection after kidney transplantation.

Junpeng Wang1,2, Xin Li3,4, Xiaoqiang Wu1, Zhiwei Wang1, Chan Zhang1, Guanghui Cao1, Shun Liu4, Tianzhong Yan5.   

Abstract

Antibody-mediated rejection (AMR) has become the major challenge for kidney transplantation, and the efficacy of existing therapies was limited to prevent AMR. Increasing evidences have demonstrated the link between gut microbiota alterations and allograft outcome. However, there has been no comprehensive analysis to profile the gut microbiota associated with AMR after kidney transplantation. We performed this study to characterize the gut microbiota possibly associated with AMR. Fecal specimens were collected from 24 kidney transplantation recipients with AMR and 29 controls. DNA extracted from the specimens was processed for 16S rRNA gene sequencing using Illumina MiSeq. Gut microbial community of recipients with AMR was significantly different from that of controls based on unweighted (P = 0.001) and weighted (P = 0.02) UniFrac distances, and the bacterial richness (observed species: P = 0.0448; Chao1 index: P = 0.0450; ACE index: P = 0.0331) significantly decreased in the AMR group. LEfSe showed that 1 phylum, 5 classes, 7 families, and 10 genera were increased, whereas 1 class, 2 order, 3 families, and 4 genera were decreased in the AMR group. Specific taxa such as Clostridiales could be potentially used as biomarkers to distinguish the recipients with AMR from the controls (AUC = 0.77). PICRUSt analysis illustrated that 16 functional pathways were with significantly different abundances in the AMR and control groups. Our findings provide a foundation for further investigation on the role of gut microbiota in AMR after kidney transplantation, and potentially support novel diagnostic biomarkers and therapeutic options for AMR. KEY POINTS: • Gut microbial community of kidney recipients with AMR was different from that of controls. • Clostridiales is a potential marker to distinguish recipients with AMR from controls.

Entities:  

Keywords:  16S rRNA gene sequencing; Antibody-mediated rejection; Gut microbiota; Kidney transplantation

Mesh:

Substances:

Year:  2021        PMID: 33625548     DOI: 10.1007/s00253-020-11069-x

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  44 in total

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Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

2.  Effect of antibiotic treatment on the intestinal metabolome.

Authors:  L Caetano M Antunes; Jun Han; Rosana B R Ferreira; Petra Lolić; Christoph H Borchers; B Brett Finlay
Journal:  Antimicrob Agents Chemother       Date:  2011-01-31       Impact factor: 5.191

3.  Lung-enriched organisms and aberrant bacterial and fungal respiratory microbiota after lung transplant.

Authors:  Emily S Charlson; Joshua M Diamond; Kyle Bittinger; Ayannah S Fitzgerald; Anjana Yadav; Andrew R Haas; Frederic D Bushman; Ronald G Collman
Journal:  Am J Respir Crit Care Med       Date:  2012-07-12       Impact factor: 21.405

4.  Fecal microbiota transplant after hematopoietic SCT: report of a successful case.

Authors:  C G de Castro; A J Ganc; R L Ganc; M S Petrolli; N Hamerschlack
Journal:  Bone Marrow Transplant       Date:  2014-09-29       Impact factor: 5.483

5.  Microbiome: A bag of surprises.

Authors:  Claire Ainsworth
Journal:  Nature       Date:  2017-11-08       Impact factor: 49.962

Review 6.  Mechanisms of antibody-mediated acute and chronic rejection of kidney allografts.

Authors:  William M Baldwin; Anna Valujskikh; Robert L Fairchild
Journal:  Curr Opin Organ Transplant       Date:  2016-02       Impact factor: 2.640

Review 7.  Antibody-mediated rejection.

Authors:  Alessandro Amore
Journal:  Curr Opin Organ Transplant       Date:  2015-10       Impact factor: 2.640

8.  QIIME allows analysis of high-throughput community sequencing data.

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Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

Review 9.  Application of high-throughput sequencing in understanding human oral microbiome related with health and disease.

Authors:  Hui Chen; Wen Jiang
Journal:  Front Microbiol       Date:  2014-10-13       Impact factor: 5.640

10.  Changes in the lung microbiome following lung transplantation include the emergence of two distinct Pseudomonas species with distinct clinical associations.

Authors:  Robert P Dickson; John R Erb-Downward; Christine M Freeman; Natalie Walker; Brittan S Scales; James M Beck; Fernando J Martinez; Jeffrey L Curtis; Vibha N Lama; Gary B Huffnagle
Journal:  PLoS One       Date:  2014-05-15       Impact factor: 3.240

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  1 in total

Review 1.  The Impact of Human Microbiotas in Hematopoietic Stem Cell and Organ Transplantation.

Authors:  Tirthankar Sen; Rajkumar P Thummer
Journal:  Front Immunol       Date:  2022-07-07       Impact factor: 8.786

  1 in total

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