Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Clinical Research Article
  • Published:

Neonatal inflammation and its association with asthma and obesity in late childhood among individuals born extremely preterm

Abstract

Background

Asthma and obesity are frequent outcomes among individuals born extremely preterm and are associated with decreased lifespan. Neonatal inflammation is associated with chronic neurodevelopmental disorders; however, it is less studied in association with other later childhood chronic disorders in this population.

Methods

Fourteen hospitals in 5 U.S. states enrolled 1506 infants born before 28 weeks of gestation in the Extremely Low Gestational Age Newborn cohort in 2004–2014. Neonatal blood spots were collected on postnatal days 1, 7, 14, 21, and 28, and used to measure 14 inflammation-related proteins. Associations were evaluated between high (top quartile) levels of proteins and two chronic health disorders at ages 10 and 15 years: physician-diagnosed asthma and obesity (body mass index ≥95th percentile).

Results

Few associations were found between high levels of 14 inflammation-related proteins, either on a single day or on multiple days, and either asthma or obesity. Similarly, few associations were found in analyses stratified by sex or presence/absence of prenatal inflammation.

Conclusions

In extremely preterm newborns, systemic elevations of inflammation-related proteins during the neonatal period were not associated with childhood asthma and obesity outcomes at 10 or 15 years of age.

Impact

  • In the large multi-center Extremely Low Gestational Age Newborn (ELGAN) cohort, sustained elevation of neonatal levels of inflammation-related proteins was not consistently associated with asthma or obesity outcomes at 10 or 15 years of age.

  • This finding contrasts with reported associations of perinatal inflammation with obesity at 2 years and neurodevelopmental disorders at 2–15 years in the ELGANs, suggesting that unlike neurodevelopment, peripubertal obesity and asthma may be driven by later childhood exposures.

  • Future research on perinatal mechanisms of childhood asthma and obesity should account for both fetal and later exposures and pathways in addition to inflammation at birth.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Forest plots depicting associations between elevations of single proteins and asthma at 15 years of age for females, males, and overall sample.
Fig. 2: Forest plots depicting associations between elevations of single proteins and obesity at 15 years of age for females, males, and overall sample.

Similar content being viewed by others

Data availability

Data for all variables except 15 year outcomes can be obtained from Archived Clinical Research Datasets | National Institute of Neurological Disorders and Stroke (nih.gov).

Data on 15 year outcomes can be obtained from the public use data set available on the NICDH DASH website.

References

  1. Taylor, G. L. & O’Shea, T. M. Extreme prematurity: risk and resiliency. Curr. Probl. Pediatr. Adolesc. Health Care 52, 101132 (2022).

  2. Korzeniewski, S. J. et al. Elevated protein concentrations in newborn blood and the risks of autism spectrum disorder, and of social impairment, at age 10 years among infants born before the 28th week of gestation. Transl. Psychiatry 8, 115 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Kuban, K. C. et al. Circulating inflammatory-associated proteins in the first month of life and cognitive impairment at age 10 years in children born extremely preterm. J. Pediatr. 180, 116–123.e111 (2017).

    Article  CAS  PubMed  Google Scholar 

  4. Kuban, K. C. et al. The breadth and type of systemic inflammation and the risk of adverse neurological outcomes in extremely low gestation newborns. Pediatr. Neurol. 52, 42–48 (2015).

    Article  PubMed  Google Scholar 

  5. Kuban, K. C. et al. Systemic inflammation and cerebral palsy risk in extremely preterm infants. J. Child Neurol. 29, 1692–1698 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Kuban, K. C. K. et al. Association of circulating proinflammatory and anti-inflammatory protein biomarkers in extremely preterm born children with subsequent brain magnetic resonance imaging volumes and cognitive function at age 10 years. J. Pediatr. 210, 81–90.e83 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Leviton, A. et al. Circulating biomarkers in extremely preterm infants associated with ultrasound indicators of brain damage. Eur. J. Paediatr. Neurol. 22, 440–450 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Leviton, A. et al. Neonatal systemic inflammation and the risk of low scores on measures of reading and mathematics achievement at age 10 years among children born extremely preterm. Int. J. Dev. Neurosci. 66, 45–53 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Leviton, A. et al. Executive dysfunction early postnatal biomarkers among children born extremely preterm. J. Neuroimmune Pharmacol. 14, 188–199 (2019).

  10. Leviton, A. et al. Early postnatal blood concentrations of inflammation-related proteins and microcephaly two years later in infants born before the 28th post-menstrual week. Early Hum. Dev. 87, 325–330 (2011).

    Article  CAS  PubMed  Google Scholar 

  11. Leviton, A. J. et al. The risk of neurodevelopmental disorders at age 10 years associated with blood concentrations of interleukins 4 and 10 during the first postnatal month of children born extremely preterm. Cytokine 110, 181–188 (2018).

  12. O’Shea, T. M. et al. Elevated concentrations of inflammation-related proteins in postnatal blood predict severe developmental delay at 2 years of age in extremely preterm infants. J. Pediatr. 160, 395–401 (2012).

    Article  PubMed  Google Scholar 

  13. O’Shea, T. M. et al. Inflammation-initiating illnesses, inflammation-related proteins, and cognitive impairment in extremely preterm infants. Brain Behav. Immun. 29, 104–112 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Perrin, E. M. et al. Elevations of inflammatory proteins in neonatal blood are associated with obesity and overweight among 2-year-old children born extremely premature. Pediatr. Res. 83, 1110–1119 (2018).

  15. van der Burg, J. W. et al. Is maternal obesity associated with sustained inflammation in extremely low gestational age newborns? Early Hum. Dev. 89, 949–955 (2013).

    Article  PubMed  Google Scholar 

  16. Hecht, J. et al. Relationship between neonatal blood protein profiles and placenta histologic characteristics in ELGANs. Pediatr. Res. 69, 68–73 (2010).

    Article  Google Scholar 

  17. Wood, C. T. et al. Antecedents of obesity among children born extremely preterm. Pediatrics 142, e20180519 (2018).

    Article  PubMed  Google Scholar 

  18. O’Shea, T. M. et al. Growth during infancy after extremely preterm birth: Associations with later neurodevelopmental and health outcomes. J. Pediatr. 252, 40–47 (2023).

  19. Fleiss, B. et al. Inflammation-induced sensitization of the brain in term infants. Dev. Med. Child Neurol. 57, 17–28 (2015).

    Article  PubMed  Google Scholar 

  20. Hagberg, H., Dammann, O., Mallard, C. & Leviton, A. Preconditioning and the developing brain. Semin. Perinatol. 28, 389–395 (2004).

    Article  PubMed  Google Scholar 

  21. Martin, E. et al. Sexual epigenetic dimorphism in the human placenta: implications for susceptibility during the prenatal period. Epigenomics 9, 267–278 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Lertxundi, A. et al. Prenatal exposure to PM2.5 and NO2 and sex-dependent infant cognitive and motor development. Environ. Res. 174, 114–121 (2019).

    Article  CAS  PubMed  Google Scholar 

  23. Sutherland, S. & Brunwasser, S. M. Sex differences in vulnerability to prenatal stress: a review of the recent literature. Curr. Psychiatry Rep. 20, 102 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Bruce, M. et al. Acute peripheral immune activation alters cytokine expression and glial activation in the early postnatal rat brain. J. Neuroinflammation 16, 200 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Clifton, V. L. Review: sex and the human placenta: mediating differential strategies of fetal growth and survival. Placenta 31, S33–S39 (2010).

    Article  PubMed  Google Scholar 

  26. Desrochers-Couture, M. et al. Prenatal, concurrent, and sex-specific associations between blood lead concentrations and IQ in preschool Canadian children. Environ. Int. 121, 1235–1242 (2018).

    Article  CAS  PubMed  Google Scholar 

  27. O’Shea, T. M. et al. The ELGAN study of the brain and related disorders in extremely low gestational age newborns. Early Hum. Dev. 85, 719–725 (2009).

    Article  PubMed  Google Scholar 

  28. McElrath, T. F. et al. Pregnancy disorders that lead to delivery before the 28th week of gestation: an epidemiologic approach to classification. Am. J. Epidemiol. 168, 980–989 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Hecht, J. L. et al. Histological characteristics of singleton placentas delivered before the 28th week of gestation. Pathology 40, 372–376 (2008).

    Article  PubMed  Google Scholar 

  30. Onderdonk, A. B., Delaney, M. L., Dubois, A. M., Allred, E. N. & Leviton, A. Detection of bacteria in placental tissues obtained from extremely low gestational age neonates. Am. J. Obstet. Gynecol. 198, e1–e7 (2008).

    Article  Google Scholar 

  31. Yudkin, P. L., Aboualfa, M., Eyre, J. A., Redman, C. W. G. & Wilkinson, A. R. New birth-weight and head circumference centiles for gestational ages 24 to 42 weeks. Early Hum. Dev. 15, 45–52 (1987).

    Article  CAS  PubMed  Google Scholar 

  32. Fichorova, R. N. et al. Maternal microbe-specific modulation of inflammatory response in extremely low-gestational-age newborns. Mbio 2, e00280–00210 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  33. Fichorova, R. N. et al. Biological and technical variables affecting immunoassay recovery of cytokines from human serum and simulated vaginal fluid: a multicenter study. Anal. Chem. 80, 4741–4751 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Leviton, A. et al. Inflammation-related proteins in the blood of extremely low gestational age newborns. The contribution of inflammation to the appearance of developmental regulation. Cytokine 53, 66–73 (2011).

    Article  CAS  PubMed  Google Scholar 

  35. Kuczmarski, R. J. et al. 2000 CDC growth charts for the United States: methods and development. Vital-. Health Stat. 11, 1–190 (2002).

    Google Scholar 

  36. Allred, E. N. et al. Systemic inflammation during the first postnatal month and the risk of attention deficit hyperactivity disorder characteristics among 10 year-old children born extremely preterm. J. Neuroimmune Pharm. 12, 531–543 (2017).

    Article  Google Scholar 

  37. Kuban, K. C. K. et al. Among children born extremely preterm a higher level of circulating neurotrophins is associated with lower risk of cognitive impairment at school age. J. Pediatr. 201, 40–48.e44 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Leviton, A. et al. Two-hit model of brain damage in the very preterm newborn: small for gestational age and postnatal systemic inflammation. Pediatr. Res. 73, 362–370 (2013).

    Article  CAS  PubMed  Google Scholar 

  39. O’Shea, T. M. et al. Elevated blood levels of inflammation-related proteins are associated with an attention problem at age 24 mo in extremely preterm infants. Pediatr. Res. 75, 781–787 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Carlo, W. A. et al. Cytokines and neurodevelopmental outcomes in extremely low birth weight infants. J. Pediatr. 159, 919–U977 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Hansen-Pupp, I. et al. Inflammation at birth is associated with subnormal development in very preterm infants. Pediatr. Res. 64, 183–188 (2008).

    Article  PubMed  Google Scholar 

  42. Hansen-Pupp, I. et al. Circulating interferon-gamma and white matter brain damage in preterm infants. Pediatr. Res. 58, 946–952 (2005).

    Article  CAS  PubMed  Google Scholar 

  43. Bangma, J. T., Hartwell, H., Santos, H. P. Jr., O’Shea, T. M. & Fry, R. C. Placental programming, perinatal inflammation, and neurodevelopment impairment among those born extremely preterm. Pediatr. Res. 89, 326–335 (2021).

    Article  PubMed  Google Scholar 

  44. Eklind, S., Mallard, C., Arvidsson, P. & Hagberg, H. Lipopolysaccharide induces both a primary and a secondary phase of sensitization in the developing rat brain. Pediatr. Res. 58, 112–116 (2005).

    Article  CAS  PubMed  Google Scholar 

  45. Mallard, C. & Hagberg, H. Inflammation-induced preconditioning in the immature brain. Semin. Fetal Neonatal Med. 12, 280–286 (2007).

    Article  PubMed  Google Scholar 

  46. Yanni, D. et al. Both antenatal and postnatal inflammation contribute information about the risk of brain damage in extremely preterm newborns. Pediatr. Res. 82, 691–696 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Korzeniewski, S. J. et al. A “multi-hit” model of neonatal white matter injury: cumulative contributions of chronic placental inflammation, acute fetal inflammation and postnatal inflammatory events. J. Perinat. Med. 42, 731–743 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  48. Kuban, K. C. et al. Girls and boys born before 28 weeks gestation: risks of cognitive, behavioral, and neurologic outcomes at age 10 years. J. Pediatr. 173, 69–75 e61 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Leviton, A. et al. Socioeconomic status and early blood concentrations of inflammation-related and neurotrophic proteins among extremely preterm newborns. PLoS One 14, e0214154 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Bose, C. et al. Systemic inflammation associated with mechanical ventilation among extremely preterm infants. Cytokine 61, 315–322 (2013).

    Article  CAS  PubMed  Google Scholar 

  51. Leviton, A. et al. Systemic responses of preterm newborns with presumed or documented bacteraemia. Acta Paediatr. 101, 355–359 (2012).

    Article  PubMed  Google Scholar 

  52. Leviton, A. et al. Systemic inflammation, intraventricular hemorrhage, and white matter injury. J. Child Neurol. 28, 1637–1645 (2013).

  53. Jackson, W. M. et al. Risk factors for chronic lung disease and asthma differ among children born extremely preterm. Pediatr. Pulmonol. 53, 1533–1540 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  54. Miller, G. E., Chen, E. & Parker, K. J. Psychological stress in childhood and susceptibility to the chronic diseases of aging: moving toward a model of behavioral and biological mechanisms. Psychol. Bull. 137, 959–997 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  55. Dankhara, N., Holla, I., Ramarao, S. & Kalikkot Thekkeveedu, R. Bronchopulmonary dysplasia: pathogenesis and pathophysiology. J. Clin. Med. 12, 4207 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  56. Visness, C. M. et al. Asthma as an outcome: exploring multiple definitions of asthma across birth cohorts in the Environmental Influences on Child Health Outcomes Children’s Respiratory and Environmental Workgroup. J. Allergy Clin. Immunol. 144, 866–869.e864 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  57. Van Wonderen, K. E. et al. Different definitions in childhood asthma: how dependable is the dependent variable? Eur. Respir. J. 36, 48–56 (2010).

    Article  PubMed  Google Scholar 

  58. Canova, C. et al. Epidemiological measures of childhood asthma: cross-sectional and longitudinal consistency. Respir. Med. 106, 1226–1235 (2012).

    Article  PubMed  Google Scholar 

Download references

Funding

This study was supported by grants from the National Institute of Neurological Disorders and Stroke (5U01NS040069-05 to Alan Leviton; 2R01NS040069-06A2 to K.C.K.), the Office of the NIH Director (1UG3OD023348-01 to T.M.O.), National Heart Lung and Blood Institute (K23HL148394 to A.M. South; L40HL148910 to A.M. South; R01HL146818 to L. Washburn; R01HL164434 to S. Cilvik). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Author information

Authors and Affiliations

Authors

Consortia

Contributions

Crisma Emmanuel made substantial contributions to analysis and interpretation of data, drafting and revising the article critically for important intellectual content, and approved the version submitted for publication. Ali Oran, made substantial contributions to analysis and interpretation of data, revising the article critically for important intellectual content, and approved the version submitted for publication. Elizabeth T. Jensen made substantial contributions to conception and design, analysis and interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Raina N. Fichorova made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. William A. Gower made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Eliana M. Perrin made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Keia Sanderson made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Andrew M. South made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Semsa Gogcu made substantial contributions to conception and design, acquisition of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Jeffrey Shenberger made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Rachana Singh made substantial contributions to conception and design, acquisition of data, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Kartikeya Makker made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Amanda L. Thompson made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Hudson Santos made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. Rebecca C. Fry made substantial contributions to conception and design, interpretation of data, and revising the article critically for important intellectual content, and approved the version submitted for publication. T. Michael O’Shea made substantial contributions to conception and design, acquisition of data, analysis, and interpretation of data, drafting and revising the article critically for important intellectual content, and approved the version submitted for publication.

Corresponding author

Correspondence to T. M. O’Shea.

Ethics declarations

Competing interests

The authors declare no competing interests.

Content to participate

For collection of obstetrical and neonatal data for study participants, mothers provided signed informed consent. For collection of outcome data at 10 and 15 years, a parent or legal guardian provided signed informed consent and children provided assent. Consent and assent procedures were approved by institutional review board at each of 14 enrollment sites (maternal and neonatal data) and 12 follow up sites (10 and 15 year data).

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Emmanuel, C., Oran, A., Jensen, E.T. et al. Neonatal inflammation and its association with asthma and obesity in late childhood among individuals born extremely preterm. Pediatr Res (2024). https://doi.org/10.1038/s41390-024-03325-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41390-024-03325-x

Search

Quick links