Laura Peterson, MD

Leveraging Microbial Symbiosis to Modulate Bronchopulmonary Dysplasia. Peterson, LS; Scheible, K. American Journal of Respiratory Cell and Molecular Biology. 2023; 68:235-236.

The balance between protective and pathogenic immune responses to pneumonia in the neonatal lung is enforced by gut microbiota. Stevens, J; Steinmeyer, S; Bonfield, M; Peterson, L; Wang, T; Gray, J; Lewkowich, I; Xu, Y; Du, Y; Guo, M; et al. Science Translational Medicine. 2022; 14:eabl3981.

Perinatal infection, inflammation, preterm birth, and brain injury: A review with proposals for future investigations. Reiss, JD; Peterson, LS; Nesamoney, SN; Chang, AL; Pasca, AM; Maric, I; Shaw, GM; Gaudilliere, B; Wong, RJ; Sylvester, KG; et al. Experimental Neurology. 2022; 351:113988.

A Peripheral Immune Signature of Labor Induction. Ando, K; Hédou, JJ; Feyaerts, D; Han, X; Ganio, EA; Tsai, ES; Peterson, LS; Verdonk, F; Tsai, AS; Maric, I; et al. Frontiers in Immunology. 2021; 12:725989.

Single-Cell Analysis of the Neonatal Immune System Across the Gestational Age Continuum. Peterson, LS; Hedou, J; Ganio, EA; Stelzer, IA; Feyaerts, D; Harbert, E; Adusumelli, Y; Ando, K; Tsai, ES; Tsai, AS; et al. Frontiers in Immunology. 2021; 12:714090.

Data-Driven Modeling of Pregnancy-Related Complications. Espinosa, C; Becker, M; Maric, I; Wong, RJ; Shaw, GM; Gaudilliere, B; Aghaeepour, N; Stevenson, DK; Prematurity Research Center at Stanford, . Trends in Molecular Medicine. 2021; 27:762-776.

Understanding how biologic and social determinants affect disparities in preterm birth and outcomes of preterm infants in the NICU. Stevenson, DK; Aghaeepour, N; Maric, I; Angst, MS; Darmstadt, GL; Druzin, ML; Gaudilliere, B; Ling, XB; Moufarrej, MN; Peterson, LS; et al. Seminars in Perinatology. 2021; 45:151408.

Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset. Stelzer, IA; Ghaemi, MS; Han, X; Ando, K; Hédou, JJ; Feyaerts, D; Peterson, LS; Rumer, KK; Tsai, ES; Ganio, EA; et al. Science Translational Medicine. 2021; 13:eabd9898.

Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19. Feyaerts, D; Hédou, J; Gillard, J; Chen, H; Tsai, ES; Peterson, LS; Ando, K; Manohar, M; Do, E; Dhondalay, GK R; et al. 2021; 2:2021.02.09.430269.

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. Culos, A; Tsai, AS; Stanley, N; Becker, M; Ghaemi, MS; McIlwain, DR; Fallahzadeh, R; Tanada, A; Nassar, H; Espinosa, C; et al. 2020; 2:619-628.