{"doi":"10.1101/2020.12.04.20244053","title":"The Feasibility of Studying Metabolites in PICU Multi-Organ Dysfunction Syndrome Patients Over an 8-day Course Using An Untargeted Approach","abstract":"Abstract Metabolites are generated from critical biological functions and metabolism. This pediatric study reviewed plasma metabolites in patients suffering from multi-organ dysfunction syndrome (MODS) in the pediatric intensive care unit (PICU) using an untargeted metabolomics approach. Patients meeting criteria for MODS were screened for eligibility and consented (n=24), and blood samples were collected at baseline, 72 hours, and 8 days; control patients (n=4), were presenting for routine sedation in an outpatient setting. A sub-set of MODS patients (n=8) required additional support with veno-atrial extracorporeal membrane oxygenation (VA-ECMO) therapy. Metabolites from thawed blood plasma were determined from ion pairing reversed-phase LC-MS analysis. Chromatographic peak alignment, identification, relative quantitation, statistical and bioinformatics evaluation were performed using MAVEN and MetaboAnalyst 4.0. Metabolite analysis revealed 115 peaks per sample. From the PLS-DA with VIP scores above ≥2.0, 7 dynamic metabolites emerged over the 3 time points: tauro-chenodeoxycholic acid (TCDCA), hexose, p -hydroxybenzoate, hydroxyphenylacetic acid (HPLA), 2_3-dihydroxybenzoic acid, 2-keto-isovalerate, and deoxyribose phosphate. After Bonferonni adjustment for repeated measures hexose and p -hydroxybenzoate were significant at one time point, or more. Kendall’s tau-b test was used for internal validation of creatinine. Metabolites may be benign or significant in describing a patient’s pathophysiology and require operator interpretation.","journal":"medRxiv","year":2020,"id":127822,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9145,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":578077,"name":"Danny Gil","orcid":null,"position":1,"is_corresponding":false},{"id":578078,"name":"Andrew Kampfshulte","orcid":null,"position":2,"is_corresponding":false},{"id":578079,"name":"Claire Krohn","orcid":null,"position":3,"is_corresponding":false},{"id":577371,"name":"Elizabeth Prentice","orcid":"0000-0002-0468-5401","position":4,"is_corresponding":false},{"id":578080,"name":"Dominic Sanfilippo","orcid":null,"position":5,"is_corresponding":false},{"id":394893,"name":"Jeremy W. Prokop","orcid":"0000-0002-1818-9695","position":6,"is_corresponding":false},{"id":339191,"name":"Todd A. Lydic","orcid":"0000-0003-3830-7406","position":7,"is_corresponding":false},{"id":394895,"name":"Surender Rajasekaran","orcid":"0000-0002-4430-006X","position":8,"is_corresponding":false},{"id":394888,"name":"Mara L. Leimanis","orcid":"0000-0003-0595-4578","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:15:34.966380Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}