The DOI matches its Crossref record; 64 of the 65 references it cites were found in a registry or an index.
Neonatal Cytokine Profiles Associated With Autism Spectrum Disorder
Open accessAbstract
Background Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that can be reliably diagnosed at age 24 months. Immunological phenomena, including skewed cytokine production, have been observed among children with ASD. Little is known about whether immune dysregulation is present before diagnosis of ASD.Methods We examined neonatal blood spots from 214 children with ASD (141 severe, 73 mild/moderate), 62 children with typical development, and 27 children with developmental delay as control subjects who participated in the Childhood Autism Risks from Genetics and the Environment study, a population-based case-control study. Levels of 17 cytokines and chemokines were compared across groups and in relation to developmental and behavioral domains.Results Interleukin (IL)-1β and IL-4 were independently associated with ASD compared with typical development, although these relationships varied by ASD symptom intensity. Elevated IL-4 was associated with increased odds of severe ASD (odds ratio [OR] = 1.40, 95% confidence interval [CI], 1.03, 1.91), whereas IL-1β was associated with increased odds of mild/moderate ASD (OR = 3.02, 95% CI, 1.43, 6.38). Additionally, IL-4 was associated with a higher likelihood of severe ASD versus mild/moderate ASD (OR = 1.35, 95% CI, 1.04, 1.75). In male subjects with ASD, IL-4 was negatively associated with nonverbal cognitive ability (β = -3.63, SE = 1.33, p = .04).Conclusions This study is part of a growing effort to identify early biological markers for ASD. We demonstrate that peripheral cytokine profiles at birth are associated with ASD later in childhood and that cytokine profiles vary depending on ASD severity. Cytokines have complex roles in neurodevelopment, and dysregulated levels may be indicative of genetic differences and environmental exposures or their interactions that relate to ASD.
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“Several pre-clinical and clinical studies found increased levels of inflammatory markers in the systemic circulation of ASD individuals when compared to neurotypical controls, such as increased IL-1B [107, 108] and heightened systemic TNF-alpha [108–110].”
From Role of diet and its effects on the gut microbiome in the pathophysiology of mental disorders (2022) · cites this paper as [107]
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · cited 1×
“The Benjamini-Hochberg procedure was used to correct p values for multiple comparisons (16 biomarkers) (31).”
MethodLord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065
Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005592401947 · Cited by 7,520 · cited 5×
“The 276 participants comprised the following groups: 141 with g Autism Diagnostic Observation Schedule comparison scores, where s. was augmented when we examined male case subjects only (Figure S3 and Table S6 in Supplement 1).”
MethodInfluentialInternational Statistical Classification of Diseases and Related Health Problems
Eisfeld, J. (2014) · TSQ Transgender Studies Quarterly · doi:10.1215/23289252-2399740 · Cited by 3,570
Mullen Scales of Early Learning
Bradley‐Johnson, S. (1997) · Psychology in the Schools · doi:10.1002/(sici)1520-6807(199710)34:4 · Cited by 2,329
Autism Diagnostic Observation Schedule
Lord, C., Rutter, M. L., Goode, S., Heemsbergen, J., Jordan, H., Mawhood, L., & Schopler, E. (1989) · PsycTESTS Dataset · doi:10.1037/t54175-000 · Cited by 1,697
Ashwood, P., Krakowiak, P., Hertz-Picciotto, I., Hansen, R., Pessah, I., & Van de Water, J. (2011) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2010.08.003 · Cited by 940
Self-citationButovsky, O., Ziv, Y., Schwartz, A., Landa, G., Talpalar, A. E., Pluchino, S., Martino, G., & Schwartz, M. (2006) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2005.10.006 · Cited by 923
Cytokine-induced sickness behavior: where do we stand?
Dantzer, R. (2001) · Brain, Behavior, and Immunity · doi:10.1006/brbi.2000.0613 · Cited by 862
Research works printed but not linked: 1
- Kabacoff RI (2003): Determining the dimensionality of data: A SAS macro for parallel analysis. In: SAS Institute Inc. Proceedings of the Twenty Eighth Annual SAS Users Group International (SUGI 28). Cary, NC: SAS Institute Inc.
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The Changing Epidemiology of Autism Spectrum Disorders
Lyall, K., Croen, L., Daniels, J., Fallin, M. D., Ladd-Acosta, C., Lee, B. K., Park, B. Y., Snyder, N. W., Schendel, D., Volk, H., et al. (2017) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044318 · Cited by 1,011
“, prenatal or neonatal) windows have suggested increased ASD risk associated with altered levels of c-reactive protein (CRP) (22, 198) and other immune markers, including IFN-γ, IL-4, and IL-5 (68), in maternal sera; results for levels of immune markers measured in newborn blood spots are more conflicting (1, 105, 199…”
BackgroundMaternal immune activation and neuroinflammation in human neurodevelopmental disorders
Han, V. X., Patel, S., Jones, H. F., & Dale, R. C. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00530-8 · Cited by 683
The Role of the Immune System in Autism Spectrum Disorder
Meltzer, A., & Van de Water, J. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.158 · Cited by 533
The influence of neuroinflammation in Autism Spectrum Disorder
Matta, S. M., Hill‐Yardin, E. L., & Crack, P. J. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.04.037 · Cited by 431
Signalling pathways in autism spectrum disorder: mechanisms and therapeutic implications
Jiang, C.-C., Lin, L., Long, S., Ke, X., Fukunaga, K., Lu, Y., & Han, F. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01081-0 · Cited by 295
Metadata
- Authors
- Krakowiak, P., Goines, P. E., Tancredi, D. J., Ashwood, P., Hansen, R. L., Hertz-Picciotto, I., & Van de Water, J.
- Affiliations
- University of California, Davis (US)
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 81
- Issue
- 5
- Pages
- 442-451
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC4753133
- OpenAlex
- W1409858176
- Cited by
- 249
- References
- 65
- Citations by year
- 2026: 15 · 2025: 14 · 2024: 34 · 2023: 32 · 2022: 35 · 2021: 16 · 2020: 27 · 2019: 26 · 2018: 28 · 2017: 12
- FWCI
- 10.02
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (P01 ES11269 and R01 ES015359)
- U.S. Environmental Protection Agency through the Science to Achieve Results (STAR) (R829388, R833292)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, IL-1β, IL-4, immune dysregulation, ASD severity, biomarkers, nonverbal cognitive ability, developmental delay, chemokines, brain development
- MeSH terms
- Autism Spectrum Disorder, Child, Preschool, Female, Humans, Male, Severity of Illness Index, Biomarkers, Interleukin-4, Case-Control Studies, Cytokines, Interleukin-1beta
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