Trial reportPloS one2013
Identification of novel biomarkers for sepsis prognosis via urinary proteomic analysis using iTRAQ labeling and 2D-LC-MS/MS.
Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01493492 (Urinary Proteomics Analysis for Sepsis Identification and Its Prognosis in Sepsis Patient With iTRAQ Labeling and and LC-MS/MS), which is not on this map. Cited by 31 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.
Urinary Proteomics Analysis for Sepsis Identification and Its Prognosis in Sepsis Patient With iTRAQ Labeling and and LC-MS/MS
Who cites it
31 citing papers in PubMed.
- A pro-atherogenic HDL profile in coronary heart disease patients: an iTRAQ labelling-based proteomic approach.PloS one · 2014Trial
- Artificial Intelligence Drives Advances in Multi-Omics Analysis and Precision Medicine for Sepsis.Biomedicines · 2026Review
- Selenium-Binding Protein 1-Deficient Dendritic Cells Protect Mice from Sepsis by Increased Treg/Th17.Antioxidants (Basel, Switzerland) · 2025Article
- Recent progress in mass spectrometry-based urinary proteomics.Clinical proteomics · 2024Review
- The Omics Complexity in Sepsis: The Limits of the Personalized Medicine Approach.Journal of personalized medicine · 2024Review
- Proteomic changes associated with racial background and sepsis survival outcomes.Molecular omics · 2022Article
- Identification of novel biomarkers for sepsis diagnosis via serum proteomic analysis using iTRAQ-2D-LC-MS/MS.Journal of clinical laboratory analysis · 2022Article
- Identification of a novel sepsis prognosis model and analysis of possible drug application prospects: Based on scRNA-seq and RNA-seq data.Frontiers in immunology · 2022Article
- Sepsis: deriving biological meaning and clinical applications from high-dimensional data.Intensive care medicine experimental · 2021Review
- Splicing factor USP39 promotes ovarian cancer malignancy through maintaining efficient splicing of oncogenic HMGA2.Cell death & disease · 2021Article
- Evaluation of the Molecular Mechanisms of Sepsis Using Proteomics.Frontiers in immunology · 2021Review
- Proteomics, physiological, and biochemical analysis of cross tolerance mechanisms in response to heat and water stresses in soybean.PloS one · 2020Article
- A Signaling Pathway to Mediate the Combined Immunomodulation of Acetylcholine and Enkephalin in OysterFrontiers in immunology · 2020Article
- Serum Proteomic Profiling Analysis of Rats Chronically Exposed to Arsenic.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Role of vimentin in modulating immune cell apoptosis and inflammatory responses in sepsis.Scientific reports · 2019Article
- Structural Analysis of Biomolecules through a Combination of Mobility Capillary Electrophoresis and Mass Spectrometry.ACS omega · 2019Article
- iTRAQ-Based Proteomic Analysis of Wheat Bunt Fungi Tilletia controversa, T. caries, and T. foetida.Current microbiology · 2018Article
- Metabolic systems analysis of LPS induced endothelial dysfunction applied to sepsis patient stratification.Scientific reports · 2018Article
- ITRAQ-based quantitative proteomic analysis of processedProteome science · 2018Article
- Mass spectrometry for the discovery of biomarkers of sepsis.Molecular bioSystems · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesSepsis is the major cause of death for critically ill patients. Recent progress in proteomics permits a thorough characterization of the mechanisms associated with critical illness. The purpose of this study was to screen potential biomarkers for early prognostic assessment of patients with sepsis.
methodsFor the discovery stage, 30 sepsis patients with different prognoses were selected. Urinary proteins were identified using isobaric tags for relative and absolute quantitation (iTRAQ) coupled with LC-MS/MS. Mass spec instrument analysis were performed with Mascot software and the International Protein Index (IPI); bioinformatic analyses were used by the algorithm of set and the Gene Ontology (GO) Database. For the verification stage, the study involved another 54 sepsis-hospitalized patients, with equal numbers of patients in survivor and non-survivor groups based on 28-day survival. Differentially expressed proteins were verified by Western Blot.
resultsA total of 232 unique proteins were identified. Proteins that were differentially expressed were further analyzed based on the pathophysiology of sepsis and biomathematics. For sepsis prognosis, five proteins were significantly up-regulated: selenium binding protein-1, heparan sulfate proteoglycan-2, alpha-1-B glycoprotein, haptoglobin, and lipocalin; two proteins were significantly down-regulated: lysosome-associated membrane proteins-1 and dipeptidyl peptidase-4. Based on gene ontology clustering, these proteins were associated with the biological processes of lipid homeostasis, cartilage development, iron ion transport, and certain metabolic processes. Urinary LAMP-1 was down-regulated, consistent with the Western Blot validation.
conclusionThis study provides the proteomic analysis of urine to identify prognostic biomarkers of sepsis. The seven identified proteins provide insight into the mechanism of sepsis. Low urinary LAMP-1 levels may be useful for early prognostic assessment of sepsis.
trial registrationClinicalTrial.gov NCT01493492.
Indexed as
Identifiers
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.