ArticleJournal of perinatology : official journal of the California Perinatal Association2017
Metabolomic profiling of brain from infants who died from Sudden Infant Death Syndrome reveals novel predictive biomarkers.
Article in Journal of perinatology : official journal of the California Perinatal Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- Comparative analysis of microRNA expression in serum-derived extracellular vesicles from sudden infant death syndrome cases.Scientific reports · 2026Article
- Decreased skull growth in positional plagiocephaly patients undergoing helmet therapy.Brain & spine · 2026Article
- Ergothioneine Treatment Ameliorates the Pathological Phenotypes of Parkinson's Disease Models.Journal of neurochemistry · 2025Article
- The Role of Protein Degradation in Estimation Postmortem Interval and Confirmation of Cause of Death in Forensic Pathology: A Literature Review.International journal of molecular sciences · 2024Review
- Oxidative stress, the blood-brain barrier and neurodegenerative diseases: The critical beneficial role of dietary antioxidants.Acta pharmaceutica Sinica. B · 2023Review
- Article
- Low Plasma Ergothioneine Predicts Cognitive and Functional Decline in an Elderly Cohort Attending Memory Clinics.Antioxidants (Basel, Switzerland) · 2022Article
- Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome.Healthcare (Basel, Switzerland) · 2022Article
- Whole-blood metabolomics of dementia patients reveal classes of disease-linked metabolites.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Review
- Ergothioneine, recent developments.Redox biology · 2021Article
- Metabolomics improves the histopathological diagnosis of asphyxial deaths: an animal proof-of-concept model.Scientific reports · 2021Article
- The biology of ergothioneine, an antioxidant nutraceutical.Nutrition research reviews · 2020Review
- Could Ergothioneine Aid in the Treatment of Coronavirus Patients?Antioxidants (Basel, Switzerland) · 2020Review
- Targeted metabolomics highlights perturbed metabolism in the brain of autism spectrum disorder sufferers.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- Effect of L-Ergothioneine on the metabolic plasma profile of the RUPP rat model of pre-eclampsia.PloS one · 2020Article
- Metabolomic Profiling of Cerebral Palsy Brain Tissue Reveals Novel Central Biomarkers and Biochemical Pathways Associated with the Disease: A Pilot Study.Metabolites · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveSudden Infant Death Syndrome (SIDS) is defined as the sudden death of an infant <1 year of age that cannot be explained following a thorough investigation. Currently, no reliable clinical biomarkers are available for the prediction of infants who will die of SIDS. STUDY
designThis study aimed to profile the medulla oblongata from postmortem human brain from SIDS victims (n=16) and compare their profiles with that of age-matched controls (n=7).
resultsUsing LC-Orbitrap-MS, we detected 12 710 features in electrospray ionization positive (ESI+) mode and 8243 in ESI- mode from polar extracts of brain. Five features acquired in ESI+ mode produced a predictive model for SIDS with an area under the receiver operating characteristic curve (AUC) of 1 (confidence interval (CI): 0.995-1) and a predictive power of 97.4%. Three biomarkers acquired in ESI- mode produced a predictive model with an AUC of 0.866 (CI: 0.767-0.942) and a predictive power of 77.6%. We confidently identified 5 of these features (l-(+)-ergothioneine, nicotinic acid, succinic acid, adenosine monophosphate and azelaic acid) and putatively identify another 4 out of the 15 in total.
conclusionsThis study underscores the potential value of metabolomics for studying SIDS. Further characterization of the metabolome of postmortem SIDS brains could lead to the identification of potential antemortem biomarkers for novel prevention strategies for SIDS.
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