Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity

While the greatest number of vaccines is administered to the very young, vaccine preventable infections remain a major cause of morbidity and mortality, especially for the newborn. To improve vaccine-mediated protection early in life, the investigators will identify biomarkers that predict protective efficacy and garner insight into the underlying mechanisms of vaccine-mediated protection. Systems biology approaches ("OMICs") applied to vaccinology, i.e., systems vaccinology, has revolutionized the field with an unbiased identification of pathways relevant to vaccine-induced immune responses. However, thus far systems vaccinology has focused primarily on adults, with few studies conducted in children and infants, and none in newborns. This study will bridge this gap by conducting a comprehensive systems vaccinology study in newborns. Specifically, the investigators will determine the molecular pathways that are associated with successful neonatal immunization with hepatitis B virus vaccine (HBV). HBV is the ideal model because i) it is highly (>90%) effective; ii) it has a well-established correlate of protection (CoP; anti-hepatitis surface antigen antibody (anti-HBs)); iii) there is substantial variation in anti-HBs titers and quantifiable inter-subject variability is essential for systems biological approaches; iv) it is highly relevant as HBV is given at birth in the U.S. and most developing countries; v) it is amenable to in vivo manipulation with another regularly administered neonatal vaccine, Bacille Calmette-Guérin (BCG), which will greatly enhance detection of relevant signatures. As complex networks of functional interactions among genes and proteins drive the response to immunization, the investigators will integrate transcriptomic, proteomic and immune phenotyping approaches. Importantly, the investigators have successfully adapted these experimental platforms to be fully operational within the small blood volumes obtainable in newborns. The investigators have also developed in vitro systems amenable to experimental manipulation on the cellular and molecular level to identify cause-effect relationships. Pilot data prove feasibility of collecting the relevant high-quality samples according to stringent standard operating procedures, processing them and delivering cogent OMIC data suggesting vaccine-specific 'signatures' in the human newborn. This HIPC will identify biomarkers of neonatal HBV immunogenicity by pursuing the following Overall Specific Aims:

• Aim 1. Characterize pre-vaccine OMIC and immune signatures in vivo that predict immunogenicity of HBV in human newborns. In adult systems vaccinology studies, baseline immune status of vaccine recipients predicted vaccine immunogenicity at least as well or even better than changes induced by the vaccine. For Aim 1 the investigators will determine the pre-vaccine (Day 0) characteristics of whole blood gene expression, plasma proteome as well as the composition of the white blood cell compartment and their functional status in correlation with the HBV-induced neonatal antibody response.
• Aim 2. Characterize the post-vaccine impact of HBV on OMIC and immune signatures in vivo that predict immunogenicity of HBV in human newborns. In adults, analysis of vaccine-induced signatures (i.e. post-vaccine) has provided new insights for several vaccines, including HBV. The investigators will for the first time apply this approach to newborns and expand it by manipulating the neonatal response to HBV in vivo by co-administering BCG, as it substantially changes immunogenicity of HBV thereby testing cause-effect relationships in vivo. For Aim 2 the investigators will characterize whole blood gene expression and the plasma and leukocyte proteome as well as white blood cell composition and functional status at Days 1, -3 and -7 postvaccine contrasting infants that received nothing (delayed vaccines to 7 days of age), HBV, BCG or (HBV + BCG) at birth and correlate this with anti-HBs titers.
• Aim 3. Interrogate functional correlations identified in silico via novel human in vitro platforms that accurately model age-specific vaccine responses and are amenable to a wide range of experimental manipulation allowing mechanistic cause-effect relationships to be probed on the molecular level.

Overall, these integrated studies will identify vaccine-induced molecular pathways correlating with protective immune responses in newborns and will generate and test new mechanistic hypotheses regarding vaccine action in vivo and in vitro. This study will ultimately inform, accelerate and optimize early life immunization resulting in major public health benefit.

Inclusion criteria

• <24 hours of age
• >37 weeks gestational age
• HIV unexposed
• Healthy (no malformations, normal temperature range and vital signs for age)

Exclusion criteria

• Premature (<37 weeks gestational age)
• Hepatitis B antigen-positive mother
• HIV-positive or HIV-exposed
• Febrile, unstable vital signs