ReviewTherapeutic drug monitoring2016
Biomarkers in Transplantation--Proteomics and Metabolomics.
Review in Therapeutic drug monitoring, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Proteomics in Liver Transplantation: A Systematic Review.Frontiers in immunology · 2021Pooled it
- Exfoliated kidney cells from urine for non-invasive kidney transplant monitoring: A potential opportunity?Clinical and experimental nephrology · 2026Review
- Metabolomics and proteomics analyses reveal the potiental mechanisms underlying colorectal cancer and chemotherapy targets.BMC cancer · 2026Article
- Molecular diagnostics in pancreas transplantation: past, present, and future.Frontiers in molecular biosciences · 2026Review
- Determination of Biochemical and Metabolomic Characteristics of Sheep Blood Serum and Their Application in Clinical Practice.Life (Basel, Switzerland) · 2025Article
- Non-Invasive Biomarkers for Early Diagnosis of Kidney Allograft Dysfunction: Current and Future Applications in the Era of Precision Medicine.Medicina (Kaunas, Lithuania) · 2025Review
- Enhancing Biomedicine: Proteomics and Metabolomics in Action.Proteomes · 2025Article
- Proteomic Analysis of the Effects of Shenzhu Tiaopi Granules on Model Rats with Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Article
- Proteomic analysis investigating kidney transplantation outcomes- a scoping review.BMC nephrology · 2023Article
- Comparison of in-gel and in-solution proteolysis in the proteome profiling of organ perfusion solutions.Clinical proteomics · 2023Article
- Development and nationwide validation of kidney graft injury markers using urinary exosomes and microvesicles (complete English translation of the Japanese version).BMC nephrology · 2023Article
- Interstage Single Ventricle Heart Disease Infants Show Dysregulation in Multiple Metabolic Pathways: Targeted Metabolomics Analysis.JACC. Advances · 2023Article
- A Selective and Sensitive LC-MS/MS Method for Quantitation of Indole in Mouse Serum and Tissues.Metabolites · 2022Article
- Molecular Markers of Kidney Transplantation Outcome: Current Omics Tools and Future Developments.International journal of molecular sciences · 2022Review
- Nucleic acid biomarkers to assess graft injury after liver transplantation.JHEP reports : innovation in hepatology · 2022Review
- The Most Promising Biomarkers of Allogeneic Kidney Transplant Rejection.Journal of immunology research · 2022Review
- Study on plasma metabolomics for HIV/AIDS patients treated by HAART based on LC/MS-MS.Frontiers in pharmacology · 2022Article
- Tissue metabolic profiling shows that saccharopine accumulates during renal ischemic-reperfusion injury, while kynurenine and itaconate accumulate in renal allograft rejection.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- 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.Annals of surgical treatment and research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.