ArticleScientific reports2018
An Innovative Approach for The Integration of Proteomics and Metabolomics Data In Severe Septic Shock Patients Stratified for Mortality.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 39 citations in OpenAlex.
- Metabolic footprint of sepsis and septic shock: A narrative review.World journal of critical care medicine · 2026Review
- Untargeted lipidomics profiling provides novel insights into pediatric patients with sepsis: an exploratory study.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Advances in metabolomics in critically ill patients with sepsis and septic shock.Clinical and experimental emergency medicine · 2025Article
- LASSO regression shows histidine and sphingosine 1 phosphate are linked to both sepsis mortality and endothelial damage.European journal of medical research · 2024Article
- Sepsis, Management & Advances in Metabolomics.Nanotheranostics · 2024Review
- Metabolic fingerprint of patients showing responsiveness to treatment of septic shock in intensive care unit.Magma (New York, N.Y.) · 2023Article
- Prognostic biomarkers for sepsis mortality based on the literature and LC-MS-based metabolomics of sepsis patients.American journal of translational research · 2023Article
- Advancements in automation for plasma proteomics sample preparation.Molecular omics · 2022Review
- Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response.Metabolites · 2022Review
- Plasma enzymatic activity, proteomics and peptidomics in COVID-19-induced sepsis: A novel approach for the analysis of hemostasis.Frontiers in molecular biosciences · 2022Article
- Past Experiences for Future Applications of Metabolomics in Critically Ill Patients with Sepsis and Septic Shocks.Metabolites · 2021Review
- Low Neuroactive Steroids Identifies a Biological Subtype of Depression in Adults with Human Immunodeficiency Virus on Suppressive Antiretroviral Therapy.The Journal of infectious diseases · 2021Article
- The application of omic technologies to research in sepsis-associated acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2021Review
- Bioinformatic Analysis of Temporal and Spatial Proteome Alternations During Infections.Frontiers in genetics · 2021Review
- Machine Learning Assisted Prediction of Prognostic Biomarkers Associated With COVID-19, Using Clinical and Proteomics Data.Frontiers in genetics · 2021Article
- Metabolomics: An emerging potential approach to decipher critical illnesses.Biophysical chemistry · 2020Review
- SARS-CoV-2/COVID-19: Evolving Reality, Global Response, Knowledge Gaps, and Opportunities.Shock (Augusta, Ga.) · 2020Review
- Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources.Metabolites · 2020Review
- Biomarker potential of brain-secreted extracellular vesicles in blood in Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands) · 2020Review
- A longitudinal study highlights shared aspects of the transcriptomic response to cardiogenic and septic shock.Critical care (London, England) · 2019Observational
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this work, we examined plasma metabolome, proteome and clinical features in patients with severe septic shock enrolled in the multicenter ALBIOS study. The objective was to identify changes in the levels of metabolites involved in septic shock progression and to integrate this information with the variation occurring in proteins and clinical data. Mass spectrometry-based targeted metabolomics and untargeted proteomics allowed us to quantify absolute metabolites concentration and relative proteins abundance. We computed the ratio D7/D1 to take into account their variation from day 1 (D1) to day 7 (D7) after shock diagnosis. Patients were divided into two groups according to 28-day mortality. Three different elastic net logistic regression models were built: one on metabolites only, one on metabolites and proteins and one to integrate metabolomics and proteomics data with clinical parameters. Linear discriminant analysis and Partial least squares Discriminant Analysis were also implemented. All the obtained models correctly classified the observations in the testing set. By looking at the variable importance (VIP) and the selected features, the integration of metabolomics with proteomics data showed the importance of circulating lipids and coagulation cascade in septic shock progression, thus capturing a further layer of biological information complementary to metabolomics information.
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Registered trials
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