Fat-soluble nutrients and Omega-3 fatty acids as modifiable factors influencing preterm birth risk

Thoene, Melissa; Ormer, Matthew Van; Yuil‐Valdes, Ana; Bruett, Taylor; Natarajan, Sathish Kumar; Mukherjee, Maheswari; Thompson, Maranda; Nordgren, Tara M.; Lippevelde, Wendy Van; Øverby, Nina Cecilie; Adu‐Bonsaffoh, Kwame; Anderson‐Berry, Ann; Hanson, Corrine

doi:10.1016/j.placenta.2019.12.002

Cited by 8 publications

(7 citation statements)

References 33 publications

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“…Future prospective studies are needed to determine whether preterm delivery can be predicted in real time at the individual level using wearable technology. There is increasing evidence that physical activity and nutrition-based interventions targeting modifiable risk factors could reduce the risk of preterm delivery [ 16 , 17 ]. HRV can also be improved with changes to sleep, exercise, and nutrition [ 18 – 20 ].…”

Section: Discussionmentioning

confidence: 99%

Wearable-derived maternal heart rate variability as a novel digital biomarker of preterm birth

Jasinski,

Rowan,

Presby

et al. 2024

PLoS ONE

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Despite considerable health consequences from preterm births, their incidence remains unchanged over recent decades, due partially to limited screening methods and limited use of extant methods. Wearable technology offers a novel, noninvasive, and acceptable way to track vital signs, such as maternal heart rate variability (mHRV). Previous research observed that mHRV declines throughout the first 33 weeks of gestation in term, singleton pregnancies, after which it improves. The aim of this study was to explore whether mHRV inflection is a feature of gestational age or an indication of time to delivery. This retrospective case-control study considered term and preterm deliveries. Remote data collection via non-invasive wearable technology enabled diverse participation with subjects representing 42 US states and 16 countries. Participants (N = 241) were retroactively identified from the WHOOP (Whoop, Inc.) userbase and wore WHOOP straps during singleton pregnancies between March 2021 and October 2022. Mixed effect spline models by gestational age and time until birth were fit for within-person mHRV, grouped into preterm and term births. For term pregnancies, gestational age (Akaike information criterion (AIC) = 26627.6, R2m = 0.0109, R2c = 0.8571) and weeks until birth (AIC = 26616.3, R2m = 0.0112, R2c = 0.8576) were representative of mHRV trends, with significantly stronger fit for weeks until birth (relative log-likelihood ratio = 279.5). For preterm pregnancies, gestational age (AIC = 1861.9, R2m = 0.0016, R2c = 0.8582) and time until birth (AIC = 1848.0, R2m = 0.0100, R2c = 0.8676) were representative of mHRV trends, with significantly stronger fit for weeks until birth (relative log-likelihood ratio = 859.4). This study suggests that wearable technology, such as the WHOOP strap, may provide a digital biomarker for preterm delivery by screening for changes in nighttime mHRV throughout pregnancy that could in turn alert to the need for further evaluation and intervention.

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Section: Discussionmentioning

confidence: 99%

Wearable-derived maternal heart rate variability as a novel digital biomarker of preterm birth

Jasinski,

Rowan,

Presby

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Future prospective studies are needed to determine whether preterm delivery can be predicted in real time at the individual level using wearable technology. There is increasing evidence that physical activity and nutrition-based interventions targeting modifiable risk factors could reduce the risk of preterm delivery (Thoene et al, 2020; Catov et al, 2018). HRV can also be improved with changes to sleep, exercise, and nutrition (Routledge et al, 2010; Sajjadieh et al, 2020; Young and Benton, 2018).…”

Section: Discussionmentioning

confidence: 99%

Wearable-Derived Maternal Heart Rate Variability As A Novel Digital Biomarker of Preterm Birth

Jasinski¹,

Rowan

Presby³

et al. 2022

Preprint

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Despite considerable health consequences from preterm births, their incidence remains unchanged over recent decades, due partially to limited screening methods and limited use of extant methods. Wearable technology offers a novel, noninvasive, and acceptable way to track vital signs, such as maternal heart rate variability (mHRV). Previous research observed that mHRV declines throughout the first 33 weeks of gestation in term, singleton pregnancies, after which it improves. The aim of this study was to explore whether mHRV inflection is a feature of gestational age or an indication of time to delivery. This retrospective case-control study considered term and preterm deliveries. Remote data collection via non-invasive wearable technology enabled diverse participation with subjects representing 42 US states and 16 countries. Participants (N=241) were recruited from the WHOOP (Whoop, Inc.) userbase and wore WHOOP straps during singleton pregnancies between March 2021 and October 2022. Mixed effect spline models by gestational age and time until birth were fit for within-person mHRV, grouped into preterm and term births. For term pregnancies, gestational age (AIC = 26627.6, R2m = 0.0109 , R2c= 0.8571) and weeks until birth (AIC =26616.3, R2m = 0.0112 , R2c = 0.8576) were representative of mHRV trends, with significantly stronger fit for weeks until birth (relative log-likelihood ratio = 279.5). For preterm pregnancies, gestational age (AIC =1861.9, R2m = 0.0016, R2c = 0.8582) and time until birth ( AIC = 1848.0, R2m = 0.0100, R2c = 0.8676) were representative of mHRV trends, with significantly stronger fit for weeks until birth (relative log-likelihood ratio= 859.4). This study suggests that wearable technology, such as the WHOOP strap, may provide a digital biomarker for preterm delivery by screening for changes in nighttime mHRV throughout pregnancy that could in turn alert to the need for further evaluation and intervention.

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“…For instance, omega-3 fatty acids facilitate increased production of specialized anti-inflammatory mediators with resultant reduction in preterm birth risk (figure 1). Combined effects of these nutrients support appropriate placental organogenesis and function (36).…”

Section: Probable Causes Of Preterm Labourmentioning

confidence: 99%

Pathophysiological mechanisms of maternal pro-inflammatory mediators in preterm labour

Adu-Bonsaffoh,

Bayor

2024

Preprint

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Available therapeutic interventions for managing preterm labour have not been consistently successful due to controversies related to its aetiology. However, multiple mechanisms including inflammation play a significant role in the pathogenesis of preterm labour. The extracellular matrix of the amniochorion contains collagen fibres that maintain the tensile strength of the amniochorion, resisting mechanical stress and preventing rejection of the foetal allograft. Expression of pro-inflammatory mediators in the amniochorion triggers production of prostaglandins in the uterus and enzymatic degradation of the resilient extracellular matrix of the foetal membranes by matrix metalloproteinases leading to uterine contractions, cervical remodelling resulting in preterm labour.

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Fat-soluble nutrients and Omega-3 fatty acids as modifiable factors influencing preterm birth risk

Cited by 8 publications

References 33 publications

Wearable-derived maternal heart rate variability as a novel digital biomarker of preterm birth

Wearable-derived maternal heart rate variability as a novel digital biomarker of preterm birth

Wearable-Derived Maternal Heart Rate Variability As A Novel Digital Biomarker of Preterm Birth

Pathophysiological mechanisms of maternal pro-inflammatory mediators in preterm labour

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