Introduction
Infants born preterm are at a significantly higher likelihood of having autism spectrum disorder (ASD), with reports of a 10-fold increase in the rate of ASD for very preterm infants (VPT, born <32 weeks gestation) [1] and a 20-fold increase for extremely preterm infants (born <28 weeks gestation) [2]. Yet, the etiological link between preterm birth and ASD remains unknown. Preterm birth and ASD are both associated with neurological differences, notably autonomic nervous system (ANS) dysfunction. ANS dysfunction can be measured using abnormal heart rate characteristics (HRCs) and thermal gradients (TGs), and previous research has linked ANS dysfunction to neurodevelopmental impairment and autism-specific outcomes. As such, ANS dysfunction is a promising early biomarker and potential pathway to ASD, particularly in VPT infants. ASD biomarkers for VPTs would enable earlier access to tailored interventions that improve outcomes for this vulnerable population. The current study describes preliminary findings from a prospective, longitudinal trial of VPT infants with continuous measures of autonomic dysregulation in the first month of life, comprehensive neurodevelopmental monitoring, and ASD follow-up at age 1 year.
Methods
A subset of VPT infants from a large, multisite clinical trial [3] were enrolled in this study at birth (N = 20). Given previous studies linking ASD to abnormal HRCs and to provide a multimodal measurement of ANS dysfunction, continuous measures of minute-by-minute TGs, defined by the difference between central and peripheral temperatures [3], and hour-by-hour abnormal heart rate characteristics (HRCs), measured using HeRO scores [4], were collected from birth-28 days (>40,000 samples/infant). HeRO scores are generated by a HeRO monitor (Medical Predictive Science Corp), calculated from a proprietary algorithm that considers abnormality of three HRCs: standard deviation of inter-beat intervals, heart rate skewness or asymmetry, and entropy (see Supplementary Information). ANS dysfunction is indicated by abnormal HRCs (HeRO scores >1) or elevated negative TGs (peripheral > central body temperature) [5]. Following NICU discharge, standardized measures of cognition, language, and motor skills were collected at corrected ages 6, 9, and 12 months (see Supplementary Information). At 12 months, assessments of social communication and direct observation of early ASD symptoms (Systematic Observation of Red Flags; SORF) were administered [6,7,8] (see Supplementary Information). The SORF has been used with infants (9–24 months) with complex developmental and ASD profiles. Informed consent was completed with the mother prior to any study procedures, which were approved by hospital and university institutional review boards. Univariate, multivariate, and robust regression models were used to evaluate neonatal predictors of ASD outcomes.
Results
Descriptive statistics for all measures are presented in Table 1 and Supplementary Fig. S1. Continuous measures of ANS function were collected for N = 20 infants enrolled at birth. Following NICU discharge, n = 12 completed 1-year developmental follow-up (10 males) and n = 1 was excluded from analyses due to significant medical morbidities that precluded a valid ASD assessment (see Supplementary Fig. S1). Across all infants in the first 28 days of life, the average HeRO score was just above 1 and infants experienced abnormal negative TGs for about 20% of the time (6 of 28 days). In terms of developmental trajectories, significant delays did not emerge until 12 months when over 50% of the sample exhibited social-communication delays and exceeded the clinical cutoff for ASD risk (see Supplementary Table S1 and Supplementary Fig S2). Neonatal abnormal HRCs were strongly associated with ASD symptoms at 12 months (r = 0.81, p < 0.01; Fig. 1), as was birth gestational age (GA), birth weight (BW), and abnormal negative TGs. A regression model including GA, BW, and abnormal HRCs revealed a significant, unique predictive effect of abnormal HRCs on ASD outcomes (model r = 0.86, p = 0.017; HRC r = 0.72, p = 0.029).
Discussion
This report represents the first prospective, longitudinal study to describe predictive associations between neonatal ANS dysfunction, developmental trajectories across the first year of life, and emerging ASD symptoms at 1 year in VPT infants. The clinical presentation for most infants reflected marked delays in social communication that did not emerge until 12 months corrected age. Significant ASD concerns were present for half of the sample by 12 months. ANS measures collected in the first month of neonatal life, more than a year prior to the ASD evaluation, were surprisingly strong predictors of ASD. Existing research points to ANS dysfunction in ASD that can be characterized by an imbalance – sympathetic overactivation and/or parasympathetic underactivation [9, 10]. The strong association between ASD features and abnormal HRCs and, albeit to a lesser extent, abnormal TGs, represents novel evidence contributing to an emerging theoretical model in which ANS imbalance in very early infancy may be an underlying etiological feature of ASD, particularly in VPT infants. Future studies should extend these preliminary findings by including infants born >32w GA, ANS measures that extend beyond the neonatal period, ASD outcomes at later ages, and larger sample sizes. In particular, the prevalence of ASD features reported here should be interpreted with caution, given limited research on the SORF in young VPTs and the complex clinical presentation of VPT infants that includes broad developmental delays. Overall, these results highlight complementary ANS measures that describe how ANS dysfunction, likely resulting from an imbalance between the parasympathetic and sympathetic systems, may impact very early regulatory processes for neonates who later develop ASD. This finding offers a promising avenue for researching etiological mechanisms and biomarkers of ASD.
Data availability
Data is available upon request.
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Acknowledgements
We thank the families for their time and dedication to this longitudinal research. We also thank Karen Warren for her support in hospital recruitment and Dr. John Richards for offering insight and expertise related to this work.
Funding
All phases of this study were supported by grants from the Carolina Autism and Neurodevelopment Research Center at the University of South Carolina and the NIH (R01NR017872; R21DC017252; K23MH120476). Open access funding provided by the Carolinas Consortium.
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Contributions
Drs. Jessica Bradshaw and Robin Dail conceptualized and designed the study and supervised all aspects of data collection and analysis. Drs. Jessica Bradshaw and Christian O’Reilly designed and executed the data analysis plan. Drs. Jessica Bradshaw, Robin Dail, and Christian O’Reilly drafted the initial manuscript and critically reviewed and revised the manuscript. Dr. Abbas Tavakoli contributed to data analysis and critically reviewed and revised the manuscript. Dr. Kayla Everhart, Elizabeth Dixon, and Amy Vinyard coordinated participant enrollment and retention, led data collection and data management, and critically reviewed and revised the manuscript. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
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The authors declare no competing interests.
Ethical approval
Study procedures were approved by the hospital (Prisma Health Institutional Review Board) and university (University of South Carolina Institutional Review Board). Informed consent was completed with the infant’s mother prior to any study procedures. This study was performed in accordance with the Declaration of Helsinki.
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Bradshaw, J., O’Reilly, C., Everhart, K.C. et al. Neonatal autonomic regulation as a predictor of autism symptoms in very preterm infants. J Perinatol (2024). https://doi.org/10.1038/s41372-024-01942-2
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DOI: https://doi.org/10.1038/s41372-024-01942-2