Literature DB >> 26546874

Sialylation of antibodies in kidney recipients with de novo donor specific antibody, with or without antibody mediated rejection.

Stéphanie Malard-Castagnet1, Emilie Dugast2, Nicolas Degauque3, Annaïck Pallier4, Jean Paul Soulillou5, Anne Cesbron6, Magali Giral7, Jean Harb8, Sophie Brouard9.   

Abstract

BACKGROUND: DSA are associated with reduced long-term transplant function and increased prevalence of chronic rejection in some patients, whereas others do not: our goal was to determine whether the sialylation of IgG and DSA could help to explain in these last cases their "non-aggressive" and/or "protective" biological activity.
METHODS: The sialylation level of total IgG in blood from two groups of kidney-transplant patients with de novo DSA, one with an AMR (DSA+AMR+), and the other without were studied.
RESULTS: In the DSA+AMR- patients total IgG were more sialylated at time of transplant, and at the first detection of DSA, class I DSA were 2.6-fold more sialylated (mean 9.943±1.801 versus 3.898±2.475, p=0.058); DSA+AMR+ patients exhibited higher levels of class II DSA.
CONCLUSIONS: In our study, higher levels of sialylated IgG are detectable on day of transplant in patients who do not develop AMR, they have higher sialylated class I DSA at the initial detection of DSA, whereas class II DSA are significantly higher in patients who develop AMR. This is the first report suggesting that transplant outcome, and particularly AMR, is associated with levels of sialylated IgG antibodies. Our data suggest that DSA are functionally heterogeneous and that further studies with an enlarged cohort may improve our understanding of their clinical impact.
Copyright © 2016 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Donor specific antibody; Humoral rejection; Kidney transplantation; Sialylation

Mesh:

Substances:

Year:  2015        PMID: 26546874     DOI: 10.1016/j.humimm.2015.10.021

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  7 in total

1.  Serum N-glycan profiling can predict biopsy-proven graft rejection after living kidney transplantation.

Authors:  Osamu Soma; Shingo Hatakeyama; Tohru Yoneyama; Mitsuru Saito; Hideo Sasaki; Yuki Tobisawa; Daisuke Noro; Yuichiro Suzuki; Masakazu Tanaka; Shin-Ichiro Nishimura; Hiroshi Harada; Hideki Ishida; Kazunari Tanabe; Shigeru Satoh; Chikara Ohyama
Journal:  Clin Exp Nephrol       Date:  2019-11-25       Impact factor: 2.801

2.  Pro-inflammatory State in Monoclonal Gammopathy of Undetermined Significance and in Multiple Myeloma Is Characterized by Low Sialylation of Pathogen-Specific and Other Monoclonal Immunoglobulins.

Authors:  Adrien Bosseboeuf; Sophie Allain-Maillet; Nicolas Mennesson; Anne Tallet; Cédric Rossi; Laurent Garderet; Denis Caillot; Philippe Moreau; Eric Piver; François Girodon; Hélène Perreault; Sophie Brouard; Arnaud Nicot; Edith Bigot-Corbel; Sylvie Hermouet; Jean Harb
Journal:  Front Immunol       Date:  2017-10-19       Impact factor: 7.561

3.  Serum Aberrant N-Glycan Profile as a Marker Associated with Early Antibody-Mediated Rejection in Patients Receiving a Living Donor Kidney Transplant.

Authors:  Daisuke Noro; Tohru Yoneyama; Shingo Hatakeyama; Yuki Tobisawa; Kazuyuki Mori; Yasuhiro Hashimoto; Takuya Koie; Masakazu Tanaka; Shin-Ichiro Nishimura; Hideo Sasaki; Mitsuru Saito; Hiroshi Harada; Tatsuya Chikaraishi; Hideki Ishida; Kazunari Tanabe; Shigeru Satoh; Chikara Ohyama
Journal:  Int J Mol Sci       Date:  2017-08-08       Impact factor: 5.923

4.  Clinical implications of serum N-glycan profiling as a diagnostic and prognostic biomarker in germ-cell tumors.

Authors:  Takuma Narita; Shingo Hatakeyama; Tohru Yoneyama; Shintaro Narita; Shinichi Yamashita; Koji Mitsuzuka; Toshihiko Sakurai; Sadafumi Kawamura; Tatsuo Tochigi; Ippei Takahashi; Shigeyuki Nakaji; Yuki Tobisawa; Hayato Yamamoto; Takuya Koie; Norihiko Tsuchiya; Tomonori Habuchi; Yoichi Arai; Chikara Ohyama
Journal:  Cancer Med       Date:  2017-03-20       Impact factor: 4.452

5.  N-glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas.

Authors:  Hirotake Kodama; Tohru Yoneyama; Toshikazu Tanaka; Daisuke Noro; Yuki Tobisawa; Hayato Yamamoto; Shinichiro Suto; Shingo Hatakeyama; Kazuyuki Mori; Takahiro Yoneyama; Yasuhiro Hashimoto; Ikuko Kakizaki; Shigeyuki Nakaji; Chikara Ohyama
Journal:  Cancer Med       Date:  2021-01-16       Impact factor: 4.452

6.  Machine learning diagnosis by immunoglobulin N-glycan signatures for precision diagnosis of urological diseases.

Authors:  Hiromichi Iwamura; Kei Mizuno; Shusuke Akamatsu; Shingo Hatakeyama; Yuki Tobisawa; Shintaro Narita; Takuma Narita; Shinichi Yamashita; Sadafumi Kawamura; Toshihiko Sakurai; Naoki Fujita; Hirotake Kodama; Daisuke Noro; Ikuko Kakizaki; Shigeyuki Nakaji; Ken Itoh; Norihiko Tsuchiya; Akihiro Ito; Tomonori Habuchi; Chikara Ohyama; Tohru Yoneyama
Journal:  Cancer Sci       Date:  2022-05-25       Impact factor: 6.518

7.  Aberrant N-Glycosylation Profile of Serum Immunoglobulins is a Diagnostic Biomarker of Urothelial Carcinomas.

Authors:  Toshikazu Tanaka; Tohru Yoneyama; Daisuke Noro; Kengo Imanishi; Yuta Kojima; Shingo Hatakeyama; Yuki Tobisawa; Kazuyuki Mori; Hayato Yamamoto; Atsushi Imai; Takahiro Yoneyama; Yasuhiro Hashimoto; Takuya Koie; Masakazu Tanaka; Shin-Ichiro Nishimura; Shizuka Kurauchi; Ippei Takahashi; Chikara Ohyama
Journal:  Int J Mol Sci       Date:  2017-12-06       Impact factor: 5.923

  7 in total

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