Laura Jelliffe-Pawlowski

Faculty

Jelliffe-Pawlowski Headsot

Laura Jelliffe-Pawlowski

PhD MS

Florence S. and William H. Downs Professor in Nursing Research
Senior Associate Dean of Research

1 212 998 9020

433 First Ave
New York, NY 10010
United States

Laura Jelliffe-Pawlowski's additional information

Laura Jelliffe-Pawlowski, PhD, MS, is a Professor at NYU Rory Meyers College of Nursing. Prof. Jelliffe-Pawlowski’s research interests focus on understanding and addressing the drivers and consequences of adverse pregnancy outcomes with a special emphasis on preterm birth and associated racial/ethnic and socioeconomic inequities. Her work is highly transdisciplinary and looks at the interplay of biomolecular, social, and policy factors in observed patterns and outcomes. Her teaching and mentorship activities reflect this transdisciplinary approach with an emphasis on motivating the translation of research findings into action.

Jelliffe-Pawlowski leads a number of statewide, national, and international research efforts funded by the National Institutes of Health, the Bill and Melinda Gates Foundation, the March of Dimes, the State of California, and other entities. These includes, notably, the “Healthy Outcomes of Pregnancy for Everyone (HOPE)” consortium and study which focuses on understanding the experience of pregnant people and their infants pre- and post-COVID 19 pandemic. HOPE examines how biomolecular, social, and community factors affect the well-being and outcomes of mothers and infants and includes enrollment during pregnancy with outcome follow-up to 18-months after birth. Other ongoing projects include, for example, the NIH funded “Prediction Of Maturity, Morbidity, and Mortality in PreTerm Infants (PROMPT)”, study which focuses on examining the metabolic profiles of newborns with early preterm birth and associated outcomes, the “Transforming Health and Reducing PerInatal Anxiety through Virtual Engagement (THRIVE)”, randomized control trial (RCT), funded by the State of California which examines whether digital cognitive behavior therapy delivered by mobile app can assist in reducing anxiety symptoms in pregnant people and also examines participant acceptability of the application. Ongoing efforts also include leading the “California Prediction of Poor Outcomes of Pregnancy (CPPOP)” cohort study which focuses on investigating multi-omic drivers of preterm birth. The study interrogates biomolecular signals associated with preterm birth and includes full genome sequencing and mid-pregnancy biomolecular signaling related to metabolic, immune, stress, and placental function in hundreds of pregnancies with and without preterm birth.

Prior to her joining NYU Rory Meyers College of Nursing, Jelliffe-Pawlowski was a Professor of Epidemiology & Biostatistics, Chief of the Division of Lifecourse Epidemiology, a Professor in the Institute of Global Health Sciences, and Director of Discovery and Precision Health for the UCSF California Preterm Birth Initiative in the University of California San Francisco (UCSF) School of Medicine. She has a lifetime appointment as an Emeritus Professor of Epidemiology & Biostatistics in the UCSF School of Medicine and continues to work closely with the new Center for Birth Equity at UCSF. Prior to her appointment at UCSF, she was a leader at the Genetic Disease Screening Program within the California Department of Public Health.

Jelliffe-Pawlowski efforts have been highlighted in numerous academic and lay articles including in the New York Times, in WIRED Magazine, in the Atlantic, on CNN, and on MSNBC. In 2023, she was recognized by Forbes Magazine as one of the top 50 over 50 Innovators in the United States. She is also a Phase I and Phase II Bill and Melinda Gates Foundation Grand Challenges awardee for her work in the United States and Uganda which focused on the development and validation of newborn metabolic profile as a novel measure of gestational age in infants.

PhD in Human Development, University of California Davis
MS in Child Development, University of California Davis
BA in Psychology, University of California Los Angeles
Preterm Birth

Faculty Honors Awards

Forbes 50 over 50 awardee in Innovation (2023)
Delegate, African Academy of Sciences (2016)
Awardee, Bill and Melinda Bates Foundation, Gates Grand Challenges Phase I and II
Governor Brown Appointee for the California Department of Public Health, Interagency Coordinating Council on Early Intervention

Publications

Evidence for Maternal Autoantibodies in the Pathogenesis of Preterm Birth

Jelliffe-Pawlowski, L., Rackaityte, E., Borges, B., Kortbawi, H. M., Miller, H. S., Shao, S. J., Zorn, K. C., Caspar, C., Wong, R., McCarthy, F., Creery, J. S., Mayer, M., Kouame, E., Puccinelli, R. R., Kistler, A. L., Yu, D. J. L., Ganem, S. R. R., DeRisi, A., Kawaja, Q., … DeRisi, J. L. (2025). In medRxiv : the preprint server for health sciences.
Abstract
Abstract
Complications from preterm birth are the leading cause of global mortality in children under age five. Spontaneous preterm labor is the most common cause of preterm delivery and is associated with a breakdown of maternal-fetal tolerance. However, the current understanding of the role of autoantibodies in this process has been limited to a handful of examples of pathogenic antibodies that occur with pregnancy complications. Here, we employ proteome-wide autoantibody profiling via phage display immunoprecipitation and sequencing (PhIP-seq) to identify autoreactivities associated with pregnancy as well as term or preterm delivery outcomes in maternal sera across eight cohorts of human pregnancy (n=2,194). We find that preterm pregnancies exhibit greater proteome-wide autoreactivity, validated by placental proteome immunoprecipitation mass spectrometry analysis using patient sera. Within the preterm birth associated autoreactive signature, we find enrichment for pathways known to be critical for normal pregnancy outcomes, including vascular development, reproductive hormones, and regulators of inflammation. Further analysis of autoreactive targets revealed involvement of the IL1β inflammatory cytokine cascade. IL1β is one of the few inflammatory cytokines sufficient to rapidly induce labor in animals and it is also elevated in preterm human pregnancies. Across these eight cohorts, antibodies to cytokine IL1 receptor antagonist (IL1RA), a natural antagonist to IL1β are significantly enriched in roughly 7% of preterm pregnancies. Sera from these patients functionally neutralize IL1RA activity and anti-IL1RA induces greater resorption, inflammation, and vascular malperfusion in timed-pregnant mice . These findings suggest utility for serologic diagnostics as one approach to stratify risk of spontaneous preterm delivery in addition to interventional strategies for restoring control of IL1β during pregnancy.

Genome x Environment analysis of Sudden Unexpected Infant Death unveils etiologic heterogeneity and strong cannabis and genetic disease risks

Jelliffe-Pawlowski, L., Kingsmore, S. F., Bandoli, G., Helbling, D. C., Baer, R., Blincow, E., Cao, B., Frise, E., Heinen, A., Jelliffe-Pawlowski, L., Kobayashi, E. S. S., Kraan, L. V. D. V., Kwon, H., Lavy, R., Moore, B., Oh, D., Oltman, S., Eric Ontiveros, Protopsaltis, L., … Chambers, C. D. (2025). In medRxiv : the preprint server for health sciences.
Abstract
Abstract
Sudden Unexpected Infant Death (SUID), the third leading cause of infant death, has increasing incidence and multifactorial etiology. Identification of preventative interventions has hitherto been hindered by etiologic studies limited to genetic or environmental effects in isolation. Here we report a multifactorial genome x environment analysis of SUID risk. Births in San Diego County California from 2005-2018 were linked to hospital discharge summaries and death files, yielding 212 SUID cases and 620,392 infants alive at age 1 year. Whole genome sequencing (WGS) identified probable and possible genetic etiologies in 16% and 48% of SUID cases, respectively. Genetic risks were extremely heterogeneous with 144 loci contributing 173 risks in 57% of SUID cases. Genetic risk was very strong (Prevalence Risk Ratio, PRR >99) or strong (PRR 3.7 - 99) in 12% and 34% of SUID cases, respectively. Six of sixteen significant environmental risks lost significance when SUID cases without strong or very strong genetic risk were compared with infants alive at age 1 year, while SUID risk associated with prenatal cannabis increased from adjusted hazard ratio (aHR) 3.7 to 6.0, other substance abuse from aHR 2.6 to 3.5, and black race from aHR 1.9 to 2.5. Thus, genome x environment analysis of a large cohort unveiled etiologic heterogeneity and hidden SUID risks, highlighting cannabis and genetic diseases as strong risk factors. Since preventative or therapeutic interventions were available for 83% of genetic risks, newborn screening by WGS has potential for substantial SUID reduction. Educational campaigns for SUID should emphasize perinatal cannabis avoidance.

Infant emergency department visits, readmission, and mortality by maternal anxiety disorder during pregnancy occurring with and without other mental health conditions: a retrospective cohort study

Jelliffe-Pawlowski, L., Baer, R. J., Oltman, S. P., Adeyemi, D., Amsalu, R., Blackman, K. C. A., Blebu, B., Coleman-Phox, K., Felder, J. N., Gano, D., Lyndon, A., McKenzie-Sampson, S., Ponting, C., Rand, L., Rogers, E. E., Ryckman, K. K., Steurer, M. A., Subramaniam, A., Taylor, K. D., … Jelliffe-Pawlowski, L. (2025). In BMC pregnancy and childbirth (Vols. 26, Issue 1, p. 83).
Abstract
Abstract
While a link between maternal anxiety diagnoses and adverse maternal and infant outcomes has been reported, there is a paucity of data regarding infant outcomes through the first year of life in those born to individuals with anxiety only and anxiety comorbid with other mental health conditions.

Ischemic Placental Disease and Severe Morbidity in Pregnant Patients With Sleep Disorders

Jelliffe-Pawlowski, L., Ross, N., Baer, R. J., Oltman, S. P., Gossett, D. R., Aurora, R. N. N., Jelliffe-Pawlowski, L., & Brandt, J. S. (2025). In JAMA network open (Vols. 8, Issues 9, p. e2532189).
Abstract
Abstract
Insomnia and obstructive sleep apnea (OSA) are associated with pregnancy complications.

Maternal hypertension and telomere length are associated with weight for age Z score change from birth to 6 months of age in a predominantly Latinx cohort

Jelliffe-Pawlowski, L., Wojcicki, J. M., Sahota, M., Lin, J., Coleman-Phox, K., Jelliffe-Pawlowski, L., & Rand, L. (2025). In BMC pregnancy and childbirth (Vols. 25, Issue 1, p. 1195).
Abstract
Abstract
Weight gain in the first six months of life is a predictor of future obesity with rapid infant weight gain (RIWG) (change > 0.67 SD in weight for age Z score from birth to 6 months of age), a strong predictor for obesity at age 5.

Queries on Sudden Infant Death Syndrome - Reply

Oltman, S. P., Rogers, E. E., & Jelliffe-Pawlowski, L. (2025). In JAMA Pediatrics. 10.1001/jamapediatrics.2024.6161
Abstract
Abstract
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Queries on Sudden Infant Death Syndrome-Reply

Jelliffe-Pawlowski, L., Oltman, S. P., Rogers, E. E., & Jelliffe-Pawlowski, L. L. (2025). In JAMA pediatrics (Vols. 179, Issues 3, pp. 352-353).
Abstract
Abstract
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Severe Perioperative Surgical Morbidity With Cesarean Delivery

Jelliffe-Pawlowski, L., Butwick, A., Baer, R. J., Farooqi, N., Stephansson, O., & Jelliffe-Pawlowski, L. (2025). In Obstetrics and gynecology.
Abstract
Abstract
To evaluate the prevalence and risk factors for severe perioperative surgical morbidity among patients undergoing cesarean delivery.

Transforming Health and Reducing Perinatal Anxiety Through Virtual Engagement : Protocol for a Randomized Controlled Trial

Jelliffe-Pawlowski, L., Ponting, C., Baer, R. J., Blackman, K., Blebu, B., Felder, J. N., Oltman, S., Tabb, K. M., & Pawlowski, L. J. (2025). In JMIR Research Protocols (Vols. 14). 10.2196/70627
Abstract
Abstract
Background: Prenatal anxiety affects between 20% and 30% of pregnant people and is associated with adverse prenatal health conditions, birth outcomes, and postpartum mental health challenges. Individuals from racial and ethnic minority groups, sexual and gender minority groups, and those with low income are all at heightened risk for prenatal anxiety due to disproportionate exposure to adverse social determinants of health. Digital cognitive behavioral therapy (dCBT) has been shown to reliably reduce anxiety in mostly White and middle- to higher-income samples, but its efficacy in low-income and marginalized pregnant people is understudied. Objective: We propose a randomized controlled trial of a dCBT (Daylight app, Big Health, Ltd) in a sample of low-income pregnant people oversampled for racial, ethnic, sexual, and gender minority identity. Methods: Participants (N=132) will be randomized to the intervention or waitlist control group using a 1:1 allocation ratio. The intervention will be a self-guided application that uses an online therapist to teach and encourage the practice of 4 key cognitive behavioral therapy skills (eg, identifying catastrophic thinking and increasing physical relaxation) that can reduce anxiety. The primary outcome will be generalized anxiety symptoms; secondary outcomes will include depressive symptoms, stress, pregnancy-specific anxiety, and insomnia symptoms. Focus groups with a subset of participants will provide qualitative data about the acceptability of dCBT. Results: Recruitment began in June 2024. Data will be analyzed using linear mixed models, which will be fit with treatment condition (dCBT and waitlist control group) as the between-group factor, time (baseline, 3, 6, and 10 weeks post randomization) as a within-group factor, and a group-by-time interaction. Linear mixed models produce unbiased parameter estimates in situations where there are different numbers of observations per record and will accommodate intent-to-treat and sensitivity analyses. Conclusions: This clinical trial will evaluate the efficacy and acceptability of a self-guided dCBT for prenatal anxiety among low-income and marginalized pregnant people, a group that continues to experience substantial barriers to accessing in-person evidence-based psychotherapy.

Transforming Health and Reducing Perinatal Anxiety Through Virtual Engagement: Protocol for a Randomized Controlled Trial

Jelliffe-Pawlowski, L., Ponting, C., Baer, R. J., Blackman, K., Blebu, B., Felder, J. N., Oltman, S., Tabb, K. M., & Jelliffe Pawlowski, L. (2025). In JMIR research protocols (Vols. 14, p. e70627).
Abstract
Abstract
Prenatal anxiety affects between 20% and 30% of pregnant people and is associated with adverse prenatal health conditions, birth outcomes, and postpartum mental health challenges. Individuals from racial and ethnic minority groups, sexual and gender minority groups, and those with low income are all at heightened risk for prenatal anxiety due to disproportionate exposure to adverse social determinants of health. Digital cognitive behavioral therapy (dCBT) has been shown to reliably reduce anxiety in mostly White and middle- to higher-income samples, but its efficacy in low-income and marginalized pregnant people is understudied.

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