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10.1097/FTD.0000000000000243

http://scihub22266oqcxt.onion/10.1097/FTD.0000000000000243
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C4769975!4769975!26418702
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suck abstract from ncbi


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pmid26418702      Ther+Drug+Monit 2016 ; 38 (Suppl 1): S70-4
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  • Biomarkers in Transplantation- Proteomics and Metabolomics #MMPMID26418702
  • Christians U; Klawitter J; Klawitter J
  • Ther Drug Monit 2016[Apr]; 38 (Suppl 1): S70-4 PMID26418702show ga
  • Modern multi-analyte ?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 two 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 has 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 multi-center 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 and anti-body mediated rejection and may be useful tools for risk stratification of kidney transplant patients.
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