Literature DB >> 31768865

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

Osamu Soma1, Shingo Hatakeyama2, Tohru Yoneyama3, Mitsuru Saito4, Hideo Sasaki5, Yuki Tobisawa1, Daisuke Noro1, Yuichiro Suzuki1, Masakazu Tanaka6, Shin-Ichiro Nishimura6, Hiroshi Harada7, Hideki Ishida8, Kazunari Tanabe8, Shigeru Satoh4, Chikara Ohyama1,3.   

Abstract

BACKGROUND: To evaluate whether serum N-glycan profile can be used as a diagnostic marker of graft rejection after living-donor kidney transplants (KT).
METHODS: We retrospectively examined 174 KT recipients at five medical centers. N-Glycan levels were analyzed in postoperative serum samples using glycoblotting combined with mass spectrometry. We developed an integrated score to predict graft rejection based on a combination of age, gender, immunological risk factors, and serum N-glycan levels at post-KT day D1 and D7. Rejection-free survival rates stratified by the sum of integrated scores (D1 + D7) were evaluated using Kaplan-Meier curves.
RESULTS: Of 174, 52 showed graft rejection (Rejection-pos. group) and 122 recipients did not show graft rejection (Rejection-neg. group). The integrated scores were significantly higher in the Rejection-pos. group than those of the Rejection-neg. group. Area-under-curve (AUC) value of integrated scores at post-KT D1, and D7 were 0.84 and 0.84, respectively. The sum of integrated scores (D1 + D7) ≥ 0.50 identified graft rejection with 81% sensitivity and 80% specificity; with an AUC value of 0.87. Recipients with higher sum of integrated scores (D1 + D7 ≥ 0.5) had significantly shorter rejection-free survival than those with lower scores.
CONCLUSION: Evaluation of serum N-glycosylation profiles can identify recipients who are prone to rejection.

Entities:  

Keywords:  Acute rejection; Biomarkers; Glycobiology; Kidney transplantation; N-Glycan

Mesh:

Substances:

Year:  2019        PMID: 31768865     DOI: 10.1007/s10157-019-01820-8

Source DB:  PubMed          Journal:  Clin Exp Nephrol        ISSN: 1342-1751            Impact factor:   2.801


  32 in total

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Authors:  Mamoru Kusaka; Yusuke Kubota; Hiroshi Takahashi; Hitomi Sasaki; Akihiro Kawai; Masashi Takenaka; Naohiko Fukami; Takashi Kenmochi; Ryoichi Shiroki; Kiyotaka Hoshinaga
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2.  Sialylation of IgG Fc domain impairs complement-dependent cytotoxicity.

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Journal:  J Clin Invest       Date:  2015-10-05       Impact factor: 14.808

3.  High-dose mizoribine combined with calcineurin inhibitor (cyclosporine or tacrolimus), basiliximab and corticosteroids for renal transplantation: A Japanese multicenter study.

Authors:  Tsukasa Nishioka; Norio Yoshimura; Hidetaka Ushigome; Yoshihiko Watarai; Kenji Nishimura; Kiyokazu Akioka; Nobuyuki Nakamura; Mutsushi Kawakita; Kenji Yuzawa; Tatsuya Nakatani
Journal:  Int J Urol       Date:  2017-10-25       Impact factor: 3.369

4.  Dual roles of sialyl Lewis X oligosaccharides in tumor metastasis and rejection by natural killer cells.

Authors:  C Ohyama; S Tsuboi; M Fukuda
Journal:  EMBO J       Date:  1999-03-15       Impact factor: 11.598

5.  Measurement of aberrant glycosylation of prostate specific antigen can improve specificity in early detection of prostate cancer.

Authors:  Tohru Yoneyama; Chikara Ohyama; Shingo Hatakeyama; Shintaro Narita; Tomonori Habuchi; Takuya Koie; Kazuyuki Mori; Kazuya I P J Hidari; Maho Yamaguchi; Takashi Suzuki; Yuki Tobisawa
Journal:  Biochem Biophys Res Commun       Date:  2014-05-09       Impact factor: 3.575

6.  Analysis of the prevalence of systemic de novo thrombotic microangiopathy after ABO-incompatible kidney transplantation and the associated risk factors.

Authors:  Masayuki Tasaki; Kazuhide Saito; Yuki Nakagawa; Naofumi Imai; Yumi Ito; Yutaka Yoshida; Masahiro Ikeda; Shoko Ishikawa; Ichiei Narita; Kota Takahashi; Yoshihiko Tomita
Journal:  Int J Urol       Date:  2019-10-06       Impact factor: 3.369

7.  Serum N-glycan alteration associated with renal cell carcinoma detected by high throughput glycan analysis.

Authors:  Shingo Hatakeyama; Maho Amano; Yuki Tobisawa; Tohru Yoneyama; Norihiko Tsuchiya; Tomonori Habuchi; Shin-Ichiro Nishimura; Chikara Ohyama
Journal:  J Urol       Date:  2013-10-16       Impact factor: 7.450

8.  Serum N-glycan profiling predicts prognosis in patients undergoing hemodialysis.

Authors:  Shingo Hatakeyama; Maho Amano; Yuki Tobisawa; Tohru Yoneyama; Megumi Tsushima; Kazuko Hirose; Takahiro Yoneyama; Yasuhiro Hashimoto; Takuya Koie; Hisao Saitoh; Kanemitsu Yamaya; Tomihisa Funyu; Shin-Ichiro Nishimura; Chikara Ohyama
Journal:  ScientificWorldJournal       Date:  2013-12-23

9.  An Automated Micro-Total Immunoassay System for Measuring Cancer-Associated α2,3-linked Sialyl N-Glycan-Carrying Prostate-Specific Antigen May Improve the Accuracy of Prostate Cancer Diagnosis.

Authors:  Tomokazu Ishikawa; Tohru Yoneyama; Yuki Tobisawa; Shingo Hatakeyama; Tatsuo Kurosawa; Kenji Nakamura; Shintaro Narita; Koji Mitsuzuka; Wilhelmina Duivenvoorden; Jehonathan H Pinthus; Yasuhiro Hashimoto; Takuya Koie; Tomonori Habuchi; Yoichi Arai; Chikara Ohyama
Journal:  Int J Mol Sci       Date:  2017-02-22       Impact factor: 5.923

10.  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

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  4 in total

Review 1.  Narrative review of urinary glycan biomarkers in prostate cancer.

Authors:  Shingo Hatakeyama; Tohru Yoneyama; Yuki Tobisawa; Hayato Yamamoto; Chikara Ohyama
Journal:  Transl Androl Urol       Date:  2021-04

2.  Discovery and validation of a novel blood-based molecular biomarker of rejection following liver transplantation.

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Review 3.  Recent Advances on Biomarkers of Early and Late Kidney Graft Dysfunction.

Authors:  Marco Quaglia; Guido Merlotti; Gabriele Guglielmetti; Giuseppe Castellano; Vincenzo Cantaluppi
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4.  Prediction of Liver Transplant Rejection With a Biologically Relevant Gene Expression Signature.

Authors:  Josh Levitsky; Manoj Kandpal; Kexin Guo; Lihui Zhao; Sunil Kurian; Thomas Whisenant; Michael Abecassis
Journal:  Transplantation       Date:  2021-07-22       Impact factor: 5.385

  4 in total

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