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PubMed:23000593 JSONTXT 38 Projects

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Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-173 Sentence denotes Discovery of serum proteomic biomarkers for prediction of response to infliximab (a monoclonal anti-TNF antibody) treatment in rheumatoid arthritis: an exploratory analysis.
T1 0-173 Sentence denotes Discovery of serum proteomic biomarkers for prediction of response to infliximab (a monoclonal anti-TNF antibody) treatment in rheumatoid arthritis: an exploratory analysis.
TextSentencer_T2 174-296 Sentence denotes Biologics such as TNF antagonists are a new class of drugs that have greatly improved Rheumatoid Arthritis (RA) treatment.
T2 174-296 Sentence denotes Biologics such as TNF antagonists are a new class of drugs that have greatly improved Rheumatoid Arthritis (RA) treatment.
TextSentencer_T3 297-442 Sentence denotes However, for unknown reasons, individual patients with RA respond to one of these drugs but not to others even those targeting the same molecule.
T3 297-442 Sentence denotes However, for unknown reasons, individual patients with RA respond to one of these drugs but not to others even those targeting the same molecule.
TextSentencer_T4 443-635 Sentence denotes Methods to predict response are sorely needed because these drugs are currently selected by trial and error, what is very inefficient and prejudicial for the patient and the healthcare system.
T4 443-635 Sentence denotes Methods to predict response are sorely needed because these drugs are currently selected by trial and error, what is very inefficient and prejudicial for the patient and the healthcare system.
TextSentencer_T5 636-775 Sentence denotes Here, we have explored the discovery of protein biomarkers in serum from patients treated with infliximab, one of the major anti-TNF drugs.
T5 636-775 Sentence denotes Here, we have explored the discovery of protein biomarkers in serum from patients treated with infliximab, one of the major anti-TNF drugs.
TextSentencer_T6 776-862 Sentence denotes The study was based in a quantitative proteomics approach using 8-plex iTRAQ labeling.
T6 776-862 Sentence denotes The study was based in a quantitative proteomics approach using 8-plex iTRAQ labeling.
TextSentencer_T7 863-1048 Sentence denotes It combined depletion of the most abundant serum proteins, two-dimensional LC fractionation, protein identification and relative quantification with a hybrid Orbitrap mass spectrometer.
T7 863-1048 Sentence denotes It combined depletion of the most abundant serum proteins, two-dimensional LC fractionation, protein identification and relative quantification with a hybrid Orbitrap mass spectrometer.
TextSentencer_T8 1049-1173 Sentence denotes This approach allowed the identification of 315 proteins of which 237 were confidently quantified with two or more peptides.
T8 1049-1173 Sentence denotes This approach allowed the identification of 315 proteins of which 237 were confidently quantified with two or more peptides.
TextSentencer_T9 1174-1277 Sentence denotes The detection range covered up to 6 orders of magnitude including multiple proteins at the ng/mL level.
T9 1174-1277 Sentence denotes The detection range covered up to 6 orders of magnitude including multiple proteins at the ng/mL level.
TextSentencer_T10 1278-1407 Sentence denotes A new set of putative biomarkers was identified comprising 14 proteins significantly more abundant in the non-responder patients.
T10 1278-1407 Sentence denotes A new set of putative biomarkers was identified comprising 14 proteins significantly more abundant in the non-responder patients.
TextSentencer_T11 1408-1530 Sentence denotes The differential proteins were enriched in apolipoproteins, components of the complement system and acute phase reactants.
T11 1408-1530 Sentence denotes The differential proteins were enriched in apolipoproteins, components of the complement system and acute phase reactants.
TextSentencer_T12 1531-1794 Sentence denotes These results show the feasibility of this approach and provide a set of candidates for validation as biomarkers for the classification of RA patients before the beginning of treatment, so that anticipated non-responders could be treated with an alternative drug.
T12 1531-1794 Sentence denotes These results show the feasibility of this approach and provide a set of candidates for validation as biomarkers for the classification of RA patients before the beginning of treatment, so that anticipated non-responders could be treated with an alternative drug.