ArticleJournal of molecular neuroscience : MN2021
Studying Autism Using Untargeted Metabolomics in Newborn Screening Samples.
Article in Journal of molecular neuroscience : MN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 30 citations in OpenAlex.
- Biopsychosocial factors during pregnancy and their implications for autism spectrum disorder: a scoping review.BMC pediatrics · 2026Article
- Discovery of newborn Wilson disease biomarkers via integrated next-generation sequencing and untargeted metabolomics.Orphanet journal of rare diseases · 2025Article
- Dried blood spots capture a wide range of metabolic pathways and biological changes associated with exercise.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Identification of an extraction protocol from dried blood spots for untargeted metabolomics: application to phenylketonuria.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Fast mass spectrometry search and clustering of untargeted metabolomics data.Nature biotechnology · 2024Article
- Unraveling the metabolomic architecture of autism in a large Danish population-based cohort.BMC medicine · 2024Article
- Current Status of Newborn Bloodspot Screening Worldwide 2024: A Comprehensive Review of Recent Activities (2020-2023).International journal of neonatal screening · 2024Review
- Metabolic network analysis of pre-ASD newborns and 5-year-old children with autism spectrum disorder.Communications biology · 2024Article
- Comparison of maternal venous blood metabolomics collected as dried blood spots, dried blood microsamplers, and plasma for integrative environmental health research.Environment international · 2024Article
- Untargeted Plasma Metabolomic Profiling in Patients with Depressive Disorders: A Preliminary Study.Metabolites · 2024Article
- Exogenous ketone bodies and the ketogenic diet as a treatment option for neurodevelopmental disorders.Frontiers in nutrition · 2024Review
- Cord Blood Metabolite Profiles and Their Association with Autistic Traits in Childhood.Metabolites · 2023Article
- Metabolomics: Perspectives on Clinical Employment in Autism Spectrum Disorder.International journal of molecular sciences · 2023Review
- Metabolomic analysis of maternal mid-gestation plasma and cord blood in autism spectrum disorders.Molecular psychiatry · 2023Article
- Effects of Long-Term Storage on the Biobanked Neonatal Dried Blood Spot Metabolome.Journal of the American Society for Mass Spectrometry · 2023Article
- Current State and Innovations in Newborn Screening: Continuing to Do Good and Avoid Harm.International journal of neonatal screening · 2023Review
- A narrative review of metabolomics in the era of "-omics": integration into clinical practice for inborn errors of metabolism.Translational pediatrics · 2022Review
- Improving the Speed and Selectivity of Newborn Screening Using Ion Mobility Spectrometry-Mass Spectrometry.Analytical chemistry · 2021Article
- The Metallome as a Link Between the "Omes" in Autism Spectrum Disorders.Frontiers in molecular neuroscience · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Main risk factors of autism spectrum disorder (ASD) include both genetic and non-genetic factors, especially prenatal and perinatal events. Newborn screening dried blood spot (DBS) samples have great potential for the study of early biochemical markers of disease. To study DBS strengths and limitations in the context of ASD research, we analyzed the metabolomic profiles of newborns later diagnosed with ASD. We performed LC-MS/MS-based untargeted metabolomics on DBS from 37 case-control pairs randomly selected from the iPSYCH sample. After preprocessing using MZmine 2.41, metabolites were putatively annotated using mzCloud, GNPS feature-based molecular networking, and MolNetEnhancer. A total of 4360 mass spectral features were detected, of which 150 (113 unique) could be putatively annotated at a high confidence level. Chemical structure information at a broad level could be retrieved for 1009 metabolites, covering 31 chemical classes. Although no clear distinction between cases and controls was revealed, our method covered many metabolites previously associated with ASD, suggesting that biochemical markers of ASD are present at birth and may be monitored during newborn screening. Additionally, we observed that gestational age, age at sampling, and month of birth influence the metabolomic profiles of newborn DBS, which informs us on the important confounders to address in future studies.
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.