Vaccine-induced Immunometabolic Reprogramming in Neonates from The Gambia and Papua New Guinea 2260646

Abstract Introduction Neonatal immunization reprograms metabolism to support immune activation, yet early-life systemic responses across populations remain poorly defined. Understanding these shifts is key for precision newborn vaccine design. Methods Peripheral blood plasma was collected at birth (day of life [DoL] 0, pre-vaccination) and DoL7 from infants in The Gambia (GAM, n = 230; 426 samples) and Papua New Guinea (PNG, n = 50; 65 samples) within the Expanded Program on Immunization Consortium. Infants received BCG, HBV, BCG+HBV, or delayed control. Untargeted LC—MS/MS metabolomics was performed, and antibody titers were measured at DoL30 and DoL128. Results Generalized Additive Mixed Models (gamm4) of longitudinal WGCNA modules showed that within 48h after birth in GAM, vaccination induced distinct metabolic signatures in four modules: Mod1 (PC/Plasmalogens), Mod4 (Acylcarnitines), Mod7 (Met/Cys/SAM/Taurine), and Mod17 (PC), representing lipid, energy, and amino acid/sulfur metabolism. By 200h, vaccine-specific effects in Mod1, Mod7, and Mod17 subsided as metabolic trajectories converged between vaccinated and unvaccinated infants, indicating transient early shifts. In GAM, Lipid Fatty Acid Dicarboxylate metabolites differed between vaccine arms, being downregulated with HBV but not BCG. In PNG, vaccination led to broad reductions in plasma metabolites by DoL7, especially amino acids and lipids, whereas GAM infants showed no comparable reduction. Cohort-specific divergence was seen in tryptophan metabolism and lysophospholipids (LPLs), which decreased in PNG but not in GAM; anthranilate rose ∼15% with BCG in GAM (p = 0.037) but fell ∼40% in PNG (p = 0.0029). Conclusion Neonatal vaccination induces robust yet transient systemic metabolic shifts with both conserved and population-specific features. We are developing an Immuno-Metabolic Response Score (IMRS) using sparse regression and logistic modeling to identify metabolite signatures predictive of antibody responses, with ongoing validation in neonatal immune assays. Funding Source NIH NIAID U19AI118608 UO1 & ADP NIAID contracts↑ Boston Children’s Hospital Award to Precision Vaccines↑ Program (PVP) Topic Categories Vaccines and Immunotherapy (VAC)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2026-07-28
DOI
https://doi.org/10.1093/jimmun/vkag141.957
Primary Topic
Immune responses and vaccinations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vaccine-induced Immunometabolic Reprogramming in Neonates from The Gambia and Papua New Guinea 2260646

Joann Diray Arce, Utsa Bhaduri, Ofer Levy, Jing Chen
The Journal of Immunology
Immune responses and vaccinations
article

Vaccine-induced Immunometabolic Reprogramming in Neonates from The Gambia and Papua New Guinea 2260646

Joann Diray Arce, Utsa Bhaduri, Ofer Levy, Jing Chen
article en

Abstract

Abstract Introduction Neonatal immunization reprograms metabolism to support immune activation, yet early-life systemic responses across populations remain poorly defined. Understanding these shifts is key for precision newborn vaccine design. Methods Peripheral blood plasma was collected at birth (day of life [DoL] 0, pre-vaccination) and DoL7 from infants in The Gambia (GAM, n = 230; 426 samples) and Papua New Guinea (PNG, n = 50; 65 samples) within the Expanded Program on Immunization Consortium. Infants received BCG, HBV, BCG+HBV, or delayed control. Untargeted LC—MS/MS metabolomics was performed, and antibody titers were measured at DoL30 and DoL128. Results Generalized Additive Mixed Models (gamm4) of longitudinal WGCNA modules showed that within 48h after birth in GAM, vaccination induced distinct metabolic signatures in four modules: Mod1 (PC/Plasmalogens), Mod4 (Acylcarnitines), Mod7 (Met/Cys/SAM/Taurine), and Mod17 (PC), representing lipid, energy, and amino acid/sulfur metabolism. By 200h, vaccine-specific effects in Mod1, Mod7, and Mod17 subsided as metabolic trajectories converged between vaccinated and unvaccinated infants, indicating transient early shifts. In GAM, Lipid Fatty Acid Dicarboxylate metabolites differed between vaccine arms, being downregulated with HBV but not BCG. In PNG, vaccination led to broad reductions in plasma metabolites by DoL7, especially amino acids and lipids, whereas GAM infants showed no comparable reduction. Cohort-specific divergence was seen in tryptophan metabolism and lysophospholipids (LPLs), which decreased in PNG but not in GAM; anthranilate rose ∼15% with BCG in GAM (p = 0.037) but fell ∼40% in PNG (p = 0.0029). Conclusion Neonatal vaccination induces robust yet transient systemic metabolic shifts with both conserved and population-specific features. We are developing an Immuno-Metabolic Response Score (IMRS) using sparse regression and logistic modeling to identify metabolite signatures predictive of antibody responses, with ongoing validation in neonatal immune assays. Funding Source NIH NIAID U19AI118608 UO1 & ADP NIAID contracts↑ Boston Children’s Hospital Award to Precision Vaccines↑ Program (PVP) Topic Categories Vaccines and Immunotherapy (VAC)

The Journal of ImmunologyVol. 215(Supplement_1)
Boston Children's Hospital (US), Harvard University (US), Boston Children's Museum (US)
Good health and well-being
Openalex Percentile: Top 14%
Immune responses and vaccinations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.