ArticleJournal of proteome research2009
Prion disease diagnosis by proteomic profiling.
Article in Journal of proteome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed, 20 citations in OpenAlex.
- Role of Biomarkers for the Diagnosis of Prion Diseases: A Narrative Review.Medicina (Kaunas, Lithuania) · 2022Review
- Investigation of serum protein profiles in scrapie infected sheep by means of SELDI-TOF-MS and multivariate data analysis.BMC research notes · 2013Article
- Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.Frontiers in biology · 2012Article
- Cyclic voltammetry: a new strategy for the evaluation of oxidative damage to bovine insulin.Protein science : a publication of the Protein Society · 2010Article
- Application of "omics" to prion biomarker discovery.Journal of biomedicine & biotechnology · 2010Review
- Identification of N-glycan serum markers associated with hepatocellular carcinoma from mass spectrometry data.Journal of proteome research · 2010Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Definitive prion disease diagnosis is currently limited to postmortem assay for the presence of the disease-associated proteinase K-resistant prion protein. Using cerebrospinal fluid (CSF) from prion-infected hamsters, matrix-assisted laser desorption/ionization Fourier transform mass spectrometry (MALDI-FTMS), and support vector machines (SVM), we have identified peptide profiles characteristic of disease state. Using 10-fold leave-one-out cross-validation, we report a predictive accuracy of 72% with a true positive rate of 73% and a false positive rate of 27% demonstrating the suitability of using proteomic profiling and CSF for the development of multiple marker diagnostics of prion disease.
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What OpenQuestion holds
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.