Literature DB >> 26418702

Biomarkers in Transplantation--Proteomics and Metabolomics.

Uwe Christians1, Jelena Klawitter, Jost Klawitter.   

Abstract

Modern multianalyte "omics" technologies allow for the identification of molecular signatures that confer significantly more information than measurement of a single parameter as typically used in current medical diagnostics. Proteomics and metabolomics bioanalytical assays capture a large set of proteins and metabolites in body fluids, cells, or tissues and, complementing genomics, assess the phenome. Proteomics and metabolomics contribute to the development of novel predictive clinical biomarkers in transplantation in 2 ways: they can be used to generate a diagnostic fingerprint or they can be used to discover individual proteins and metabolites of diagnostic potential. Much fewer metabolomics than proteomics biomarker studies in transplant patients have been reported, and, in contrast to proteomics discovery studies, new lead metabolite markers have yet to emerge. Most clinical proteomics studies have been discovery studies. Several of these studies have assessed diagnostic sensitivity and specificity. Nevertheless, none of these newly discovered protein biomarkers have yet been implemented in clinical decision making in transplantation. The currently most advanced markers discovered in proteomics studies in transplant patients are the chemokines CXCL-9 and CXCL-10, which have successfully been validated in larger multicenter trials in kidney transplant patients. These chemokines can be measured using standard immunoassay platforms, which should facilitate clinical implementation. Based on the published evidence, it is reasonable to expect that these chemokine markers can help guiding and individualizing immunosuppressive regimens, may be able to predict acute and chronic T-cell-mediated and antibody-mediated rejection, and may be useful tools for risk stratification of kidney transplant patients.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26418702      PMCID: PMC4769975          DOI: 10.1097/FTD.0000000000000243

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  61 in total

Review 1.  Protein and peptide biomarkers in organ transplantation.

Authors:  Tara K Sigdel; Xiaoxiao Gao; Minnie M Sarwal
Journal:  Biomark Med       Date:  2012-06       Impact factor: 2.851

2.  NMR and MS methods for metabonomics.

Authors:  Frank Dieterle; Björn Riefke; Götz Schlotterbeck; Alfred Ross; Hans Senn; Alexander Amberg
Journal:  Methods Mol Biol       Date:  2011

Review 3.  Metabolomics: the principles and potential applications to transplantation.

Authors:  D S Wishart
Journal:  Am J Transplant       Date:  2005-12       Impact factor: 8.086

Review 4.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility.

Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

Review 5.  Proteomics--a blessing or a curse? Application of proteomics technology to transplant medicine.

Authors:  Katrin Kienzl-Wagner; Johann Pratschke; Gerald Brandacher
Journal:  Transplantation       Date:  2011-09-15       Impact factor: 4.939

Review 6.  Urinary proteomics in the assessment of chronic kidney disease.

Authors:  William Mullen; Christian Delles; Harald Mischak
Journal:  Curr Opin Nephrol Hypertens       Date:  2011-11       Impact factor: 2.894

7.  Plasma protein biosignatures for detection of cardiac allograft vasculopathy.

Authors:  David Lin; Gabriela Cohen Freue; Zsuzsanna Hollander; G B John Mancini; Mayu Sasaki; Alice Mui; Janet Wilson-McManus; Andrew Ignaszewski; Carol Imai; Anna Meredith; Robert Balshaw; Raymond T Ng; Paul A Keown; W Robert McMaster; Ron Carere; John G Webb; Bruce M McManus
Journal:  J Heart Lung Transplant       Date:  2013-07       Impact factor: 10.247

8.  Mass Spectrometry-Based Multiplexing for the Analysis of Biomarkers in Drug Development and Clinical Diagnostics- How Much is too Much?

Authors:  Uwe Christians; Jacek Klepacki; Touraj Shokati; Jost Klawitter; Jelena Klawitter
Journal:  Microchem J       Date:  2012-11-01       Impact factor: 4.821

9.  The human serum metabolome.

Authors:  Nikolaos Psychogios; David D Hau; Jun Peng; An Chi Guo; Rupasri Mandal; Souhaila Bouatra; Igor Sinelnikov; Ramanarayan Krishnamurthy; Roman Eisner; Bijaya Gautam; Nelson Young; Jianguo Xia; Craig Knox; Edison Dong; Paul Huang; Zsuzsanna Hollander; Theresa L Pedersen; Steven R Smith; Fiona Bamforth; Russ Greiner; Bruce McManus; John W Newman; Theodore Goodfriend; David S Wishart
Journal:  PLoS One       Date:  2011-02-16       Impact factor: 3.240

10.  Serum aminoacylase-1 is a novel biomarker with potential prognostic utility for long-term outcome in patients with delayed graft function following renal transplantation.

Authors:  Matthew P Welberry Smith; Alexandre Zougman; David A Cairns; Michelle Wilson; Tobias Wind; Steven L Wood; Douglas Thompson; Michael P Messenger; Andrew Mooney; Peter J Selby; Andrew J P Lewington; Rosamonde E Banks
Journal:  Kidney Int       Date:  2013-06-05       Impact factor: 10.612

View more
  8 in total

1.  Tissue metabolic profiling shows that saccharopine accumulates during renal ischemic-reperfusion injury, while kynurenine and itaconate accumulate in renal allograft rejection.

Authors:  Ulf H Beier; Erum A Hartung; Seth Concors; Paul T Hernandez; Zhonglin Wang; Caroline Perry; Joseph A Baur; Michelle R Denburg; Wayne W Hancock; Terence P Gade; Matthew H Levine
Journal:  Metabolomics       Date:  2020-05-04       Impact factor: 4.290

Review 2.  Advances in Detection of Kidney Transplant Injury.

Authors:  Sanjeeva Herath; Jonathan Erlich; Amy Y M Au; Zoltán H Endre
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

Review 3.  Molecular Markers of Kidney Transplantation Outcome: Current Omics Tools and Future Developments.

Authors:  Maryne Lepoittevin; Thomas Kerforne; Luc Pellerin; Thierry Hauet; Raphael Thuillier
Journal:  Int J Mol Sci       Date:  2022-06-05       Impact factor: 6.208

Review 4.  The Most Promising Biomarkers of Allogeneic Kidney Transplant Rejection.

Authors:  Karolina Rogulska; Iwona Wojciechowska-Koszko; Barbara Dołęgowska; Ewa Kwiatkowska; Paulina Roszkowska; Patrycja Kapczuk; Danuta Kosik-Bogacka
Journal:  J Immunol Res       Date:  2022-05-28       Impact factor: 4.493

5.  Urinary transglutaminase 2 as a potent biomarker to predict interstitial fibrosis and tubular atrophy of kidney allograft during early posttransplant period in deceased donor kidney transplantation.

Authors:  Jee Yeon Kim; Yu-Mee Wee; Monica Young Choi; Hey Rim Jung; Ji Yoon Choi; Hyun Wook Kwon; Joo Hee Jung; Yong Mee Cho; Heounjeong Go; Minkyu Han; Young Hoon Kim; Duck Jong Han; Sung Shin
Journal:  Ann Surg Treat Res       Date:  2019-06-26       Impact factor: 1.859

Review 6.  Nucleic acid biomarkers to assess graft injury after liver transplantation.

Authors:  Elissa Bardhi; Jennifer McDaniels; Thomas Rousselle; Daniel G Maluf; Valeria R Mas
Journal:  JHEP Rep       Date:  2022-01-26

7.  A Selective and Sensitive LC-MS/MS Method for Quantitation of Indole in Mouse Serum and Tissues.

Authors:  Vineet Joshi; Yashpal S Chhonker; Dhruvkumar Soni; Kelly C Cunningham; Derrick R Samuelson; Daryl J Murry
Journal:  Metabolites       Date:  2022-08-02

8.  Study on plasma metabolomics for HIV/AIDS patients treated by HAART based on LC/MS-MS.

Authors:  Donghui Lao; Rong Liu; Jianying Liang
Journal:  Front Pharmacol       Date:  2022-08-29       Impact factor: 5.988

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.