ArticleScientific reports2017
High predictive values of RBC membrane-based diagnostics by biophotonics in an integrated approach for Autism Spectrum Disorders.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 28 citations in OpenAlex.
- AI-based autism identification from hyperspectral imaging detection of oxidative stress in pediatric red blood cells.Communications medicine · 2026Article
- Cooking for disability: a pilot study on nutritional interventions for mental health support in adults with autism spectrum disorder.Frontiers in psychiatry · 2025Article
- Exploring unconventional attributes of red blood cells and their potential applications in biomedicine.Protein & cell · 2024Article
- Competitive season effects on polyunsaturated fatty acid content in erythrocyte membranes of female football players.Journal of the International Society of Sports Nutrition · 2023Observational
- Fatty-Acid-Based Membrane Lipidome Profile of Peanut Allergy Patients: An Exploratory Study of a Lifelong Health Condition.International journal of molecular sciences · 2022Article
- Dynamic and Systemic Perspective in Autism Spectrum Disorders: A Change of Gaze in Research Opens to A New Landscape of Needs and Solutions.Brain sciences · 2022Review
- The Alteration of Chloride Homeostasis/GABAergic Signaling in Brain Disorders: Could Oxidative Stress Play a Role?Antioxidants (Basel, Switzerland) · 2021Review
- Potential of Erythrocyte Membrane Lipid Profile as a Novel Inflammatory Biomarker to Distinguish Metabolically Healthy Obesity in Children.Journal of personalized medicine · 2021Article
- Autism Spectrum Disorder from the Womb to Adulthood: Suggestions for a Paradigm Shift.Journal of personalized medicine · 2021Review
- Molecular Differences Based on Erythrocyte Fatty Acid Profile to Personalize Dietary Strategies between Adults and Children with Obesity.Metabolites · 2021Article
- Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder.Frontiers in genetics · 2021Article
- Altered Levels of Desaturation and ω-6 Fatty Acids in Breast Cancer Patients' Red Blood Cell Membranes.Metabolites · 2020Article
- Fatty Acid Profile of Mature Red Blood Cell Membranes and Dietary Intake as a New Approach to Characterize Children with Overweight and Obesity.Nutrients · 2020Observational
- Fatty Acids and Membrane Lipidomics in Oncology: A Cross-Road of Nutritional, Signaling and Metabolic Pathways.Metabolites · 2020Review
- The Role of Lipidomics in Autism Spectrum Disorder.Molecular diagnosis & therapy · 2020Review
- The Erythrocyte Membrane Lipidome of Healthy Dogs: Creating a Benchmark of Fatty Acid Distribution and Interval Values.Frontiers in veterinary science · 2020Article
- Long-term outcome of autism spectrum disorder.Turk pediatri arsivi · 2019Review
- Article
- NaAutism research : official journal of the International Society for Autism Research · 2018Article
- Oxidative Stress in Autistic Children Alters Erythrocyte Shape in the Absence of Quantitative Protein Alterations and of Loss of Membrane Phospholipid Asymmetry.Oxidative medicine and cellular longevity · 2018Article
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Membranes attract attention in medicine, concerning lipidome composition and fatty acid correlation with neurological diseases. Hyperspectral dark field microscopy (HDFM), a biophotonic imaging using reflectance spectra, provides accurate characterization of healthy adult RBC identifying a library of 8 spectral end-members. Here we report hyperspectral RBC imaging in children affected by Autism Spectrum Disorder (ASD) (n = 21) compared to healthy age-matched subjects (n = 20), investigating if statistically significant differences in their HDFM spectra exist, that can comprehensively map a membrane impairment involved in disease. A significant difference concerning one end-member (spectrum 4) was found (P value = 0.0021). A thorough statistical treatment evidenced: i) diagnostic performance by the receiving operators curve (ROC) analysis, with cut-offs and very high predictive values (P value = 0.0008) of spectrum 4 for identifying disease; ii) significant correlations of spectrum 4 with clinical parameters and with the RBC membrane deficit of the omega-3 docosahexaenoic acid (DHA) in ASD patients; iii) by principal component analysis, very high affinity values of spectrum 4 to the factor that combines behavioural parameters and the variable "cc" discriminating cases and controls. These results foresee the use of biophotonic methodologies in ASD diagnostic panels combining with molecular elements for a correct neuronal growth.
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