The maternal–fetal communicatome: a scoping review and network physiology perspective on a unified, adaptive, and multiscale interaction network

Abstract

The relationship between the mother and fetus is increasingly recognized not as a simple interaction between two separate entities but as a unified, adaptive, and multiscale physiological network. This scoping review synthesizes current research across psychological, physiological, immunological, genetic, and cellular domains to map the “communicatome” that orchestrates pregnancy and programs lifelong health. Centrally, we examine the coupling of maternal and fetal heart rate variability (HRV), a paradigmatic manifestation of network physiology in which maternal autonomic oscillations are mirrored in umbilical venous and ductus venosus blood flow to modulate fetal neurodevelopment. We conclude that the decoupling of this physiological network—detectable through integrated biosignal analysis—serves as a critical early-warning marker for pregnancy pathologies, including pre-eclampsia (PE), fetal growth restriction (FGR), and preterm birth (PTB). Furthermore, the review highlights the active nature of fetal–maternal interactions, in which fetal trophoblasts “educate” the maternal immune system to ensure semi-allogeneic tolerance, and microchimeric cells establish a biological legacy that persists for decades postpartum. Psychologically, prenatal attachment is shown to be a transgenerational process in which the quality of current relationship care mediates the transmission of ancestral parenting patterns. By framing these interactions through the Developmental Origins of Health and Disease, we conclude that the decoupling of this physiological network—detectable through integrated biosignal analysis—serves as a critical early-warning marker for pregnancy pathologies and neurodevelopmental vulnerabilities.

Introduction

The relationship between a mother and her fetus is the most intimate human interaction, functioning not as two separate entities but as a unified, adaptive, and multiscale physiological network. This complex “communicatome” involves dynamic, bidirectional signaling at molecular, cellular, systemic levels that orchestrate pregnancy, maternal adaptation, and fetal maturation. Central to this dialogue is the placenta, which serves as the master regulator and primary interface, secreting hormones and extracellular vesicles (EVs) while acting as a sophisticated sensor for maternal nutritional and stress signals (Kareus et al., 2026; Kramer et al., 2023).

Maternal–fetal cross-talk encompasses dynamic, bidirectional signaling at molecular, cellular, tissue, and systemic levels that coordinates pregnancy, fetal development, and maternal adaptations. The human placenta is a unique organ that reacts sensitively to any pathological state within the unified mother–placenta–fetus system. It possesses compensatory capabilities and adaptive processes that “smooth out” deviations within the network. Morphological indicators of this connection include the state of the spiral arterioles of the endometrium and the syncytiotrophoblast. Disruptions in these connections, such as trophoblast failure to remodel maternal spiral arteries into high-capacitance vessels, lead to placental ischemia and oxidative stress—primary pathogenetic drivers of pre-eclampsia (PE). Critical mediators include placental-derived allopregnanolone (ALLO) and a diverse array of extracellular vesicles (EVs) that carry miRNA cargo, orchestrating a systemic reorganization of maternal and fetal networks (Opichka et al., 2025). The placenta serves as the primary interface, secreting hormones [e.g., human chorionic gonadotrophin (hCG), estrogens, and progesterone], growth factors [e.g., placental growth factor (PlGF)], anti-angiogenic factors [e.g., soluble forms like tyrosine 1 (sFLT1)], cytokines, and EVs carrying miRNAs and other cargo into both maternal and fetal circulations. This interface does not merely facilitate exchange; it actively modulates maternal physiology to support fetal metabolic demands while simultaneously guiding fetal immune tolerance and neural programming. These signals drive maternal cardiometabolic adaptations (e.g., increased cardiac output and insulin resistance) while modulating fetal organogenesis, immune tolerance, and metabolic programming. Additional layers include immune cross-talk at the feto-maternal interface [e.g., between trophoblasts, decidual natural killer (dNK) cells, and macrophages], microbial influences, and direct tissue interactions (e.g., fetal membranes and myometrium promoting pro-inflammatory shifts at parturition). Disruptions in this cross-talk link to complications such as PE, preterm birth (PTB), fetal growth restriction (FGR), and long-term offspring cardiometabolic risk via in utero programming (Sferruzzi-Perri and Camm, 2016).

Recent single-cell and multi-omics studies highlight the complexity: for instance, labor involves orchestrated maternal–fetal cellular dialogues in the placenta, while m⁶A RNA modifications act as sensitive regulators of placentation and fetal responses to maternal stressors. These processes operate across scales—from epigenetic and post-transcriptional modifications in individual cells to organ-level synchronization (e.g., maternal cardiovascular–fetal heart rate coupling) and organismal integration (mother–placenta–fetus as a unified triad) (Candia-Rivera and Chavez, 2025).

Within the emerging framework of network physiology, the mother–placenta–fetus unit is viewed as a dynamic triad in which subsystems—including cardiovascular, autonomic, endocrine, and immune systems—are coupled through nonlinear feedback loops (Ivanov et al., 2016). A paradigmatic manifestation of this integration is the coupling of maternal and fetal heart rate variability (HRV), which reflects synchronized autonomic nervous system (ANS) activity and provides a critical non-invasive window into fetal neurological maturation. These autonomic rhythms, which specifically refer to maternal autonomic rhythms (e.g., respiratory sinus arrhythmia at 0.5 Hz), are often “mirrored” in the hemodynamics of the umbilical vein, which conducts maternal oscillatory processes, such as respiratory sinus arrhythmia (RSA), across the placental barrier (Lakhno, 2016).

The integrity of this cross-talk is essential for healthy neurodevelopment as the intrauterine environment serves to program the physiological and metabolic set points for the offspring’s entire life course. This paradigm, known as the Developmental Origins of Health and Disease (DOHaD) or the “Barker Hypothesis,” posits that disruptions in these network couplings can predispose the individual to lifelong cardiometabolic, endocrine, and neuropsychiatric vulnerabilities (Faa et al., 2024). Furthermore, this relationship establishes a long-term biological legacy through the bidirectional exchange of microchimeric cells and the intergenerational transmission of psychological attachment patterns.

This scoping review synthesizes current research on these multidimensional interactions, emphasizing how the synchronization of maternal and fetal biosignals drives neurodevelopment and how the decoupling of this physiological network serves as an early-warning marker of pregnancy pathologies.

Methods

To ensure methodological transparency and minimize bias, the search strategy and eligibility boundaries of this scoping review were guided by the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) framework (Table 1). This framework is specifically optimized for scoping reviews synthesizing complex, multi-system, and mixed-method biological phenomena. Following the identification of initial records, screening was performed based on these SPIDER boundaries, focusing strictly on bidirectional maternal–fetal interactions rather than isolated maternal or fetal clinical parameters. A total of 38 sources met all eligibility criteria and were selected for qualitative meta-synthesis.

FIGURE 1

(S)—Sample (target triad): Pregnant human mothers, fetuses, and the maternal–fetal–placental interface.

(D)—Design (synthesis protocol): Scoping review methodology mapping multidisciplinary evidence under a unified PRISMA-ScR framework to eliminate selection and reporting bias.

The review of the key findings

How this work addresses interactions across systems/sub-systems, multiscale dynamics, and broader network-based physiological principles

The manuscript’s findings directly engage these dimensions by demonstrating coordinated interactions among maternal (cardiovascular, endocrine, and immune), placental, and fetal (metabolic, neural, and cardiovascular) subsystems. Rather than isolated effects, we observe emergent network behaviors: transient couplings (e.g., via placental EVs and cytokines) that synchronize maternal metabolic output with fetal growth trajectories, and feedback loops where fetal signals (e.g., through cord blood mediators) retroactively modulate maternal inflammatory networks. This aligns with multiscale dynamics, where molecular-scale changes (e.g., altered m⁶A or miRNA cargo) propagate to cellular invasion/migration at the implantation site, tissue-level remodeling (e.g., spiral artery transformation), and systemic adaptations (e.g., maternal left-ventricular hypertrophy or immune tolerance) (Kramer et al., 2023; Gao et al., 2026).

We quantify these as network interactions—nonlinear, time-varying couplings across physiological subsystems—using integrative analyses of biosignals and molecular profiles. Previous investigations by the authors using Ukrainian cohorts have demonstrated that under significant physiological stressors, such as those associated with wartime conditions, there is increased neighborhood connectivity in immune-mediator networks between maternal serum and fetal cord blood.

This suggests that the maternal–fetal triad functions as a redundant and cooperative system, utilizing these network interactions to enhance robustness during gestation (Lin et al., 2020; Hoyer et al., 2017).

Placement of reported findings within the context of prior works on network physiology

These observations extend and operationalize the foundational framework of network physiology, as articulated by Ivanov et al. (2016), which views the human organism as a dynamic network of physiological systems whose coordinated, transient interactions across spatiotemporal scales generate health and distinct physiological states. Prior work in this field has explicitly identified maternal–fetal and neonatal care as key application domains, emphasizing how disruptions in inter-system couplings (e.g., cardio-respiratory or brain–heart) can cascade into pathology, while synchronized network dynamics enable adaptive states. The findings build on this framework by applying network principles specifically to pregnancy: we map maternal–fetal cross-talk as a multi-component network involving endocrine–immune–metabolic subsystems, with quantifiable couplings (e.g., phase synchronization or information transfer via placental signals) that reorganize across gestation (Lakhno, 2016; Lakhno, 2017). The review provides horizontal integration—this encompasses the transient, nonlinear synchronization of maternal cardiovascular, endocrine, and immune subsystems with fetal metabolic and neural counterparts—and vertical integration—this describes the propagation of signals across scales, where sub-cellular changes, such as m6A RNA modifications or miRNA cargo, drive tissue-level remodeling (e.g., spiral artery transformation) and organismal adaptations such as maternal left-ventricular hypertrophy (Candia-Rivera and Chavez, 2025; Lin et al., 2020). The outcomes of healthy and complicated pregnancies are presented in Table 3.

Discussion

Integrative synthesis: a logic model of the maternal–fetal communicatome

FIGURE 2

Maternal–fetal HRV coupling

The coupling between maternal and fetal HRV serves as a core manifestation of this cross-talk, reflecting synchronized ANS activity. The implications of maternal and fetal HRV are central to understanding the mother–fetus relationship as a unified, adaptive physiological network (DiPietro et al., 2023; Lakhno, 2025).

Directionality shifts: Using analytical methods such as partial directed coherence (PDC) and bivariate phase-rectified signal averaging (BPRSA), research demonstrates that heart rate coupling is time-varying. Early in gestation, fetal-to-maternal influence is often dominant, but this shifts to a stronger maternal-to-fetal drive by mid-to-late pregnancy (Nichting et al., 2023).

Placental mirror

The placenta and umbilical veins act as conductors of these oscillatory signals. The umbilical vein has no innervation and reflects oscillatory processes within the system of “mother–placenta–fetus.” A combined assessment of maternal–fetal HRV coupling and umbilical venous Doppler spectral analysis (for fluctuation peaks) offers a non-invasive window into placental conductive function and fetal wellbeing. This complements traditional cardiotocography and arterial Doppler. Specifically, spectral analysis of umbilical venous blood flow reveals a characteristic frequency peak at approximately 0.5 Hz that strongly correlates with maternal RSA and HRV. The 0.5 Hz frequency peak in the umbilical vein corresponds to the maternal respiratory rate, specifically representing a frequency range of approximately 0.45–0.55 Hz (corresponding to maternal RSA at ∼30 breaths per minute during paced breathing). The placental mirror operates as a bidirectional conductor. The fetus generates episodic breathing movements at a rate of 30–60 breaths per minute (∼0.5 Hz). This intrinsic fetal rhythm drives a local respiratory sinus arrhythmia that reflects through the umbilical vein, modulating placental blood flow and anchoring maternal–fetal autonomic synchronization (Kramer et al., 2023; Lakhno, 2016; Hoyer et al., 2017). Fetal breathing changes intrathoracic pressure. This pressure shifts blood volume within the low-resistance umbilical circulation. The resulting rhythmic mechanical waves travel through the umbilical vein back to the placenta. This mechanical feedback loops back into the maternal–fetal interface. It can influence maternal heart rate variability and synchronize the autonomic nervous systems of both individual organisms (Lakhno, 2017). The 0.5 Hz peak is absent or significantly diminished under pathological conditions such as PE or FGR, indicating a breakdown in network connectivity. The relationship between maternal and fetal root mean square of successive differences (RMSSDs) was found in healthy pregnancies. Maternal parasympathetic regulation and RSA had a protective impact on the circulatory responses of the mother and fetus in PE. The increased maternal autonomic balance supported perfusion of the end organs and coupling with fetal hemodynamics in mild–moderate PE, while vagally mediated reactions were safe. In pathological states such as severe PE, the authors’ previously reported data indicate that a hypokinetic type of combined maternal–fetal hemodynamics is associated with a significant reduction in RSA. In these instances, the fetal cardiovascular system appears functionally dissociated from the maternal organism, a state confirmed by the absence of significant correlations between maternal and fetal HRV parameters, including total power (TP) and RMSSDs (Lakhno, 2016; Lakhno, 2017). This “network decoupling” represents a failure of the normal adaptive communication between mother and fetus. For this reason, the loss of fetal and maternal hemodynamic coupling could be considered a presumable pathogenetic mechanism of fetal distress in PE (Kramer et al., 2023; Hoyer et al., 2017; Hoyer et al., 2019).

Maternal modulation: Maternal states, including breathing patterns, physical activity, and emotional stress, propagate through these autonomic couplings to influence fetal cardiac rhythms. For example, paced maternal breathing can enhance this synchronization (Hoyer et al., 2017; Bailey et al., 2024).

Fetal heart rate variability and neurodevelopment

Fetal growth and fetal HRV are closely linked, with fetal HRV serving as a critical non-invasive window into the physiological integrity and neurological maturation of the fetal central nervous system and the integration of brainstem and cortical networks (Hoyer et al., 2019). In healthy pregnancies, fetal HRV metrics (such as SDNN and RMSSD) typically increase as gestation advances, reflecting the progressive development of the ANS and a shift from sympathetic dominance toward vagal control. Under pathological conditions such as fetal growth restriction (FGR), these HRV metrics are often markedly reduced. This reduction in variability is a primary indicator of autonomic dysfunction and delayed neurological maturation in growth-restricted fetuses. Furthermore, the relationship between fetal growth and HRV is defined by the synchronization or “coupling” of maternal and fetal autonomic rhythms. In normal pregnancies, the umbilical vein acts as a physiological “mirror,” conducting maternal autonomic oscillations across the placenta to the fetus. In cases of FGR or PE, this network coupling often breaks down, leading to a “dissociation” that contributes to fetal distress, altered nutrient delivery, and impaired development (Hoyer et al., 2017).

The umbilical vein has been conceptualized as a non-innervated “physiologic mirror” of the oscillatory processes within the maternal–fetal-placental triad. Spectral analysis of umbilical venous flow velocity waveforms reveals characteristic frequency peaks—most notably a 0.5 Hz peak—that correlate directly with maternal HRV and RSA, illustrating the placenta’s capacity to conduct maternal autonomic fluctuations to the fetal compartment (Lakhno, 2017). However, although the umbilical vein provides a unique window into these vertical autonomic couplings, the ductus venosus is recognized as a more sensitive marker of fetal clinical status. The ductus venosus offers higher resolution for detecting early fetal cardiac compromise and compensatory responses to placental insufficiency. Consequently, although umbilical venous spectral analysis is indispensable for mapping the “mirroring” of autonomic rhythms, the inclusion of ductus venosus indices is essential for a robust clinical evaluation of fetal status. By prioritizing the ductus venosus alongside maternal–fetal HRV coupling, clinicians can more accurately detect the early signatures of network decoupling that precede severe pathologies such as PE and FGR (Hoyer et al., 2019).

Indices of maturation: As gestation advances, fetal HRV metrics (such as SDNN and RMSSDs) typically increase, while the baseline heart rate decreases. This progression mirrors the shift from sympathetic dominance toward greater vagal (parasympathetic) control. The development of fetal heart rate reactivity in a non-stress test was known as the fetal neurological maturation stage (Hoyer et al., 2017).

Autonomic brain age: Metrics such as the fetal Autonomic Brain Age Score (fABAS) are used to quantify this maturation (Hoyer et al., 2017). Stronger and more organized maternal–fetal HRV coupling is predictive of healthy ANS development and improved postnatal cognitive, motor, and regulatory outcomes (Hoyer et al., 2019).

Pathological decoupling: In pregnancies complicated by high maternal stress, inflammation, or placental insufficiency, this coupling is often weakened or decoupled. Reduced fetal HRV and decoupled rhythms are associated with increased risks for later psychopathology, temperament dysregulation, and executive function deficits (DiPietro et al., 2023; Chen et al., 2025).

The lower fetal HRV and short-term variation (STV) are moderate-to-strong biomarkers of fetal distress and acidemia, particularly in growth-restricted pregnancies. Long-term outcomes: Higher fetal HRV and steeper developmental trajectories after 28 weeks are predictive of better mental, psychomotor, and regulatory outcomes in early childhood. Decoupling could be a marker of major obstetric syndromes. The decoupling of the maternal–fetal heart rate network serves as an early-warning marker for FGR and other pregnancy pathologies, detectable weeks before birth. Although fetal growth is a complex process involving nutritional and hormonal factors, its success depends on the stability of the maternal–placental–fetal physiological network, for which HRV and autonomic coupling are primary descriptors (Kap et al., 2016; Kapaya et al., 2020).

Fetal HRV metrics as growth indicators

Broader scientific context and long-term associations

Integration with maternal–fetal HRV coupling and network physiology

Clinical implications: Non-invasive monitoring of fetal autonomic tone (via NI-fECG, magnetocardiography, or coupled HRV analysis), alongside umbilical venous Doppler, offers predictive value for neurodevelopmental trajectories and adult health risks. Placental bed pathology in FGR deteriorated the propagation of fluctuations and disrupted maternal–fetal interaction. The increased power of the maternal sympathetic domain region was revealed as a compensatory reaction due to deteriorated utero-placental hemodynamics. Sympathetic overactivity modulated maternal autonomic response by reducing TP and suppressing parasympathetic regulation. The role of the umbilical vein as a physiological “mirror” is supported by findings that a characteristic 0.5 Hz frequency peak in umbilical blood flow velocity waveforms correlates directly with maternal RSA. This maternal origin of the oscillatory signal has been established through research by Lakhno and others, highlighting the placenta’s capacity to conduct maternal autonomic fluctuations to the fetal compartment. Specifically, spectral analysis reveals a frequency peak (0.45–0.55 Hz) that correlates directly with maternal RSA, establishing the maternal origin of these fetal hemodynamic fluctuations (Lakhno, 2016; Lakhno, 2017; Hoyer et al., 2017). The value of the amplitude of the 0.5 Hz peak could be considered a biophysical marker of FGR and PE. As PE is a result of chronic placental insufficiency, the decreased amplitude of the above-mentioned peaks in maternal and fetal autonomic tone could be considered an additional criterion for such gestational disease. Early detection of autonomic malfunction enables timely interventions to mitigate programming effects. Fetal autonomic tone is not only a real-time marker of neurological maturation but also a prognostic window into future health—supported by clinical data and broader fetal programming research. Preserved vagal tone and intact maternal–fetal synchronization promote resilience; disruptions signal heightened lifelong vulnerability (Lakhno, 2017; Hoyer et al., 2017; Hoyer et al., 2019).

A central tenet of this synthesis is that the integrity of the maternal–fetal “communicatome” is essential for sustaining a healthy pregnancy. Although PE and FGR are primary focuses, PTB is a critical consequence of network decoupling. The transition to early delivery is often mediated by placental stress (e.g., deficiency in IFN-β signaling), which triggers the release of EVs with pro-inflammatory cargo (TNF-α, IL-6, and IL-8). This inflammatory cargo acts as a “molecular timer,” prematurely activating parturition pathways within fetal membranes and the myometrium. Specifically, EVs serve as a primary vehicle for this stress-induced communication; under pathological conditions, the placenta secretes vesicles with pro-inflammatory cargo—including specific miRNAs and cytokines—that can trigger the molecular cascades leading to parturition. For example, a deficiency in placental type I interferon-β signaling has been linked to increased production of pro-inflammatory cytokines such as TNF-α and IL-8, which are associated with the development of PTB. These cytokines, along with specific stress-induced miRNAs, are packaged into EVs and released into both circulations. This inflammatory cargo acts as a molecular “timer,” prematurely activating the parturition pathways within the fetal membranes and maternal myometrium, ultimately overriding the homeostatic signals required to maintain gestation. By recognizing PTB as a direct result of network decoupling, this framework allows for a more comprehensive understanding of how disruptions in molecular and autonomic synchronizations lead to a spectrum of adverse gestational outcomes (Gao et al., 2026; Jacobsen et al., 2025; Jacobsen et al., 2023).

Evidence-based data on fetal HRV and short- and long-term outcomes

A formal, large-scale meta-analysis exclusively on prenatal fetal HRV metrics—such as STV from computerized cardiotocography (cCTG), SDNN, RMSSD, or frequency-domain indices—and both short- and long-term outcomes does not currently exist in the published literature. High heterogeneity in fHRV measurement methods (e.g., cCTG STV vs. non-invasive fetal ECG/magnetocardiography), gestational age at assessment, outcome definitions, and study populations (low-risk vs. high-risk, including FGR/PE) has limited pooled analyses. Scoping reviews explicitly note that variability in reporting precludes meta-analysis of neurodevelopmental links. However, targeted systematic reviews/meta-analyses and key prospective studies provide robust evidence. A synthesis is provided in the following section, with emphasis on STV (the most standardized and clinically used fetal HRV proxy) and integration with findings on autonomic tone in high-risk pregnancies.

Comparison of fetal HRV metrics across studies

Normative trends with gestational age (healthy pregnancies)

Fetal movements modulate metrics: breathing increases RMSSD/HF (parasympathetic); body movements increase SDNN/LF (sympathetic shifts). The non-stress test is integrated into the current program of fetal wellbeing assessment (Hoyer et al., 2017; Hoyer et al., 2019).

Comparison: normal vs. pathological pregnancies (FGR and PE)

High-risk pregnancies show reduced overall variability, delayed maturation, sympathetic dominance (higher SI/AMo and LF/HF), and weakened maternal–fetal coupling (Lakhno, 2017; Hoyer et al., 2017).

As this review acknowledges, high heterogeneity in fHRV measurement methods and the current absence of a formal, large-scale meta-analysis preclude the establishment of universal normative standards for the fetal autonomic nervous system. Consequently, the specific values presented in this synthesis—such as an SI of ∼141 units, TP reaching ∼16,000+ ms², and an AMo of ∼38% in control groups—are intended as illustrative ranges derived from individual research cohorts.

These data provide a comparative baseline for understanding “network decoupling” in pathological states. For example, in cohorts of severe preeclampsia or fetal growth restriction, these metrics shift dramatically (e.g., AMo increases to 61%–100%, while SI can reach 1,437+ units), signaling a breakdown in the adaptive autonomic network. Clinicians and researchers should weigh these specific quantitative claims as study-specific benchmarks rather than definitive population norms. A progressive decrease was found in time-domain measures (SDNN and RMSSD) and power with increasing severity, along with sympathetic overdrive (high SI/AMo) and loss of coupling with maternal HRV (Lakhno, 2017). Similar patterns were observed in fMCG studies: lower SDNN/RMSSD in IUGR (Hoyer et al., 2019). Typical patterns of fetal HRV variables are presented in Table 4.

Short- and long-term outcome links

Key differences and challenges across studies

Short-term outcomes (perinatal: acidemia, apgar scores, NICU admission, and distress)

FGR subgroup: slightly improved detection (sensitivity 0.63 [95% CI: 0.49–0.75]; −LR 0.50 [95% CI: 0.31–0.80]).

Interpretation: STV shows moderate accuracy as a stand-alone test. Low STV (<∼3.5–5.25 ms, study-specific thresholds) flags risk of acidemia but misses many cases (moderate sensitivity). High specificity and good −LR support its use to rule out acidemia when STV is normal. Heterogeneity arose from varying pH thresholds, GA, and risk profiles; quality was generally high (STARD/QUADAS).

Intrapartum context: STV performed poorly (ROC AUC 0.527, 95% CI: 0.377–0.678) for umbilical artery pH < 7.20. Labor events (e.g., decelerations) altered STV dynamically, reducing utility compared to antepartum use (Kapaya et al., 2020).

Apgar scores and other short-term markers

Long-term outcomes (neurodevelopment and DOHaD programming)

Molecular and microbial scaffolding

Although HRV coupling reflects a systemic biosignal, it is supported by molecular dialogue. The “communicatome” is supported by underlying molecular and microbial dialogues that serve as the network’s foundational coding system. EVs function as sophisticated, bidirectional messengers carrying multicomponent cargo—including eNOS for vascular regulation and apoE for metabolic adaptation—that synchronize maternal metabolic output with fetal growth trajectories. This scaffolding provides the multiscale logic that enables organ-level synchronization. The placenta acts as a master regulator, utilizing mTOR signaling as a network node to prioritize maternal resource stability. EVs, known as lipid-membrane-bound particles, including exosomes and microvesicles, function as a sophisticated bidirectional “coding system” between the feto-placental unit and the mother (Kareus et al., 2026).

Functional implications: Placental EVs carry a diverse cargo of bioactive signaling lipids, proteins, and nucleic acids (miRNA, mRNA, and DNA) that synchronize maternal metabolic output with fetal growth trajectories. For instance, syncytiotrophoblast-derived EVs modulate maternal insulin sensitivity to regulate glucose homeostasis, while MMc-derived EVs in the fetal compartment promote “split tolerance” by cross-dressing fetal antigen-presenting cells with maternal MHC molecules (Bracamonte-Baran et al., 2017).

Within the maternal–fetal “communicatome,” EVs function as a sophisticated, bidirectional “coding system” that transcends simple signaling. Although early research primarily emphasized their microRNA (miRNA) cargo, it is now recognized that EVs carry a much broader repertoire of biological mediators, including bioactive signaling lipids, proteins, and various types of nucleic acids, such as messenger RNA (mRNA) and DNA. These lipid-membrane-bound particles are continuously secreted by fetal-derived trophoblasts and maternal immune cells into both circulations, with their concentration increasing significantly throughout gestation (Gao et al., 2026).

The functional implications of this diverse cargo are multiscale:

Proteins and lipids: EVs transport functional proteins, such as active endothelial nitric oxide synthase (eNOS), which promotes maternal vasodilation, and bioactive lipids such as apolipoprotein-E, which can reach the maternal liver to modulate lipid metabolism. It targets the maternal liver to modulate cholesterol synthesis and lipid metabolism, thereby adapting maternal resource output to fetal demand. In PE, the activity of EV-bound eNOS is significantly impaired, contributing to maternal hypertension and network decoupling.

Nucleic acid repertoire: Beyond miRNAs, the presence of mRNA and DNA within these vesicles allows for the potential transfer of complex genetic instructions and epigenetic modifiers between the mother, placenta, and fetus. EVs facilitate the transfer of DNA and mRNA, which can “cross-dress” fetal antigen-presenting cells with maternal MHC molecules. This process induces “split tolerance,” a unique state where the fetal immune system recognizes maternal antigens to prevent rejection while maintaining the immunological memory necessary for lifelong health.

Systemic integration: This multifaceted cargo enables EVs to act as endocrine and paracrine mediators that synchronize maternal metabolic output with fetal growth trajectories.

By recognizing that EVs contain a complex “macro-molecular containment” rather than just isolated RNA species, we can better understand how the placenta functions as a master regulator, utilizing these vesicles to maintain adaptive homeostasis or, in cases of network decoupling, to communicate placental stress signals that contribute to pathologies such as PE and PTB (Gao et al., 2026).

Microchimerism and fetal neurodevelopment

The long-term impact of MMc on the offspring’s brain has been explored through preclinical murine models. For instance, studies in mice have demonstrated that MMc can actively shape neurodevelopment and behavior by suppressing microglia activation and reducing the elimination of presynaptic vesicles (Schepanski et al., 2022). These rodent-based findings suggest a protective role for maternal cells in cognitive and behavioral development; however, although MMc have been detected in various regions of the human maternal and fetal brain, the functional implications for human neurodevelopment remain largely inferred from these animal models.

Fetal growth and development are significantly influenced by maternal stress

Several biochemical and therapeutic strategies for improving or supporting fetal growth

In summary, the data focus on growth factor gene therapy, metabolic sensing pathways, and maternal microbial management as the primary prospects for improving fetal growth outcomes.

Network interactions in the mother–placenta–fetus triad shape fetal neurodevelopment and maternal neuroplasticity

In the framework of network physiology, the mother–placenta–fetus unit operates as a dynamic, multiscale network of physiological subsystems (cardiovascular, autonomic, endocrine, immune, and neural).

Current evidence suggests that the maternal–fetal triad functions as a redundant and cooperative system, supporting maternal brain health through stress reduction and long-term neuroplastic specialization for caregiving. The practical outcomes of this network physiology perspective include the clinical translation of integrated biosignal analysis. By utilizing tools such as the fABAS and monitoring for “network decoupling”—the breakdown of autonomic and molecular synchronizations—clinicians can identify early signatures of fetal distress and developmental vulnerability weeks before the onset of symptomatic pathology (Samjeed et al., 2024b).

Transient, nonlinear couplings—mediated by placental conduction of hemodynamic fluctuations, hormones, cytokines, extracellular vesicles, and neurotransmitters—generate emergent adaptive states that orchestrate fetal neurodevelopment and maternal neuroplasticity. These interactions are bidirectional: maternal network dynamics program fetal brain networks, while fetal/placental signals reshape maternal brain architecture. Disruptions (e.g., in PE or FGR) decouple the network, contributing to the developmental programming of long-term risk, as emphasized in research on autonomic malfunction and delayed neurological maturation (Hoyer et al., 2017).

How network interactions shape fetal neurodevelopment

Present studies in high-risk cohorts operationalize this: preserved maternal–fetal hemodynamic–autonomic coupling supports timely neurological maturation; its disruption in FGR manifests as fetal distress and long-term programming effects.

How network interactions shape maternal neuroplasticity

Pregnancy triggers one of the most profound periods of adult neuroplasticity, driven by reciprocal fetal–placental–maternal network feedback. These changes reorganize maternal brain networks to support caregiving while integrating fetal signals. Hormonal and placental drivers of structural/functional remodeling: placental hormones (estrogen, progesterone, hCG, and oxytocin) and fetal-derived signals (via EVs and neurotransmitters) induce selective gray matter (GM) reductions—most pronounced in the default mode network (DMN) and frontoparietal networks—alongside white matter expansion and enhanced connectivity in limbic/reward circuits (amygdala, hypothalamus, and nucleus accumbens). This U-shaped trajectory (steepest decline in late pregnancy and partial postpartum recovery) is not loss but specialization: DMN changes enhance theory-of-mind and infant-cue responsiveness, while salience/attention networks heighten maternal vigilance (Kramer et al., 2023). Bidirectional network synchronization: Fetal signals (e.g., via placental conduction of autonomic/hemodynamic fluctuations) feedback to modulate the maternal ANS and HPA axis, promoting neuroplastic windows. Maternal–fetal HRV coupling, for instance, may reflect shared autonomic states that reinforce maternal reward/motivation networks. Longitudinal fMRI shows pregnancy alters resting-state connectivity, particularly DMN coherence, aligning maternal self-referential processing with infant-oriented states. These adaptations persist postpartum, supporting bonding and long-term maternal behavior (DiPietro et al., 2023; Hoyer et al., 2019). Network-level emergent outcomes: The “maternal network” (cortical–limbic–sensory integration) arises from transient couplings across endocrine, immune, and autonomic subsystems. Positive maternal factors (e.g., social support and health behaviors) can buffer stress-related fetal network alterations, illustrating network resilience. Disruptions (e.g., chronic stress) amplify decoupling, with lasting effects on both maternal and fetal trajectories (Ivanov et al., 2016).

Integrated perspective and implications

This review reframes the maternal–fetal relationship not as isolated signaling events but as a paradigmatic example of network physiology in action: a unified, adaptive, and multiscale network. It is important to emphasize that, although the individual domains synthesized here—ranging from attachment theory to genomic imprinting—are grounded in the established primary literature, the overarching network physiology framing and the concept of “network decoupling” represent the authors’ own integrative synthetic framework layered onto these disparate fields.

The integrity of this “communicatome” is essential for sustaining a healthy pregnancy. The decoupling of this physiological network—manifesting as weakened HRV synchronization, loss of the umbilical venous spectral “mirror,” or altered placental nutrient signaling—serves as a critical early-warning signature for pregnancy pathologies. Although PE and FGR are primary manifestations of this decoupling, PTB is also a significant consequence, potentially mediated by placental stress and the transfer of inflammatory cargo via placental EVs (Jacobsen et al., 2025; Jacobsen et al., 2023).

The practical outcomes of this perspective include the clinical translation of integrated biosignal analysis. By utilizing tools such as the fABAS and spectral analysis of the umbilical vein—while acknowledging the ductus venosus as a more sensitive marker of early fetal cardiac compromise—clinicians can identify developmental vulnerabilities weeks before the onset of symptomatic pathology. Ultimately, this framework suggests that the maternal–fetal triad functions as a redundant and cooperative system supporting both fetal neurodevelopment and maternal neuroplasticity, specializing the maternal brain for caregiving while reducing stress-related vulnerabilities. Future research must prioritize longitudinal human cohorts to validate the mechanistic insights currently inferred from rodent models, particularly regarding sex-specific stress thresholds and the functional impact of chimeric cells.

In summary, although the integration of physiological, molecular, and cellular signals defines the maternal–fetal triad, many of the specific “coding” mechanisms remain to be fully established in humans. For example, the loss of fetal and maternal hemodynamic coupling could be considered a presumable pathogenetic mechanism of fetal distress in PE. Similarly, although the metabolic and stress-sensing pathways identified in rodent studies provide high-resolution mechanistic detail, they should be viewed by clinicians as plausible biological frameworks that require further validation through rigorous human longitudinal cohorts. By distinguishing between established human clinical markers and mechanistic insights inferred from rodent models, this review aims to provide a balanced perspective on the current state of DOHaD research. By reframing pregnancy through network physiology, we identify that the maternal–fetal triad functions as a redundant, cooperative system. The practical outcomes of this framework include the clinical use of the fABAS and the monitoring of network signatures to detect developmental vulnerabilities weeks before the onset of symptoms. This transition toward personalized, predictive obstetrics enables early intrauterine intervention to prevent chronic adult diseases.

Limitations: As a narrative synthesis within the framework of network physiology, this review is subject to several limitations. First, there is uneven domain coverage across the “communicatome.” Although the physiological and autonomic coupling sections are grounded in a substantial body of clinical data (including HRV metrics and Doppler spectral analysis), the genetic domain discussion is comparatively thin, relying on a limited number of sources focused on imprinting and conflict theory. Furthermore, the small total sample of included papers (n = 38) reflects a targeted scoping approach rather than an exhaustive systematic review, which may introduce selection bias. Consequently, the findings presented here should be interpreted as an integrative synthetic framework rather than a comprehensive or definitive census of all maternal–fetal interactions.

Conclusion

The emerging field of network physiology provides a transformative framework for understanding human development, reframing the relationship between the mother and fetus from two separate entities into a unified, adaptive, and multiscale triad consisting of the mother, placenta, and fetus. This triad is coupled through complex, bidirectional feedback loops—ranging from molecular epigenetic modifications to systemic autonomic synchronizations—that orchestrate healthy gestation and program long-term health.

Central to this physiological cross-talk is the coupling of maternal and fetal HRV, which serves as a non-invasive window into the maturation of the fetal ANS. Research highlights that this synchronization is dynamic, characterized by a shift in directionality shift from fetal-to-maternal influence in early pregnancy to a dominant maternal-to-fetal drive by mid- to late gestation. The umbilical vein acts as a physiological “mirror” of maternal autonomic rhythms, conducting oscillations such as RSA across the placental barrier to stabilize fetal circulation and modulate neurodevelopment.

This integration extends beyond biosignals into a complex biological legacy defined by cellular and extravesicular chimerism. Fetal and maternal cells and EVs are exchanged and persist in host tissues for decades, modulating immune tolerance, aiding tissue repair, and influencing the risk of autoimmune or cancerous diseases. The placenta acts as a sophisticated nutrient sensor (via mTOR and OGT signaling) that prioritizes maternal supply signals over fetal demand to ensure mutual survival.

Simultaneously, the maternal gut microbiota produces metabolites such as SCFAs that cross the placenta to program the development of the fetal gut–brain axis. Maternal–fetal and paternal–fetal attachment are not only predicted by physical cues such as fetal movement but are also part of a transgenerational process in which the quality of care in the current parental relationship serves as the primary channel for transmitting past childhood experiences to the next generation.

The decoupling of this network—manifesting as weakened HRV synchronization, loss of the umbilical venous spectral “mirror,” or altered placental nutrient signaling—serves as an early warning for pathologies such as PE and FGR. Clinically, tools such as the fABAS offer the potential to monitor neurological maturation and detect vulnerabilities caused by maternal stress or malnutrition weeks before birth.

By reframing pregnancy through network physiology, we identify that the maternal–fetal triad functions as a redundant, cooperative system. The practical outcomes include the clinical use of the fetal fABAS and the monitoring of network signatures—such as ductus venosus indices and EV cargo—to detect developmental vulnerabilities weeks before the onset of symptoms. This transition toward personalized, predictive obstetrics enables early intrauterine intervention to mitigate the lifelong risk of adult chronic disease.

In summary, the mother and fetus function as an adaptive multiscale network where physiological integrity is essential for successful pregnancy outcomes. The shift toward personalized surveillance demands the clinical integration of multiscale biosignals. By understanding the mother–placenta–fetus triad as a synergetic model of coupled oscillators and molecular networks, clinicians can better predict and mitigate neurodevelopmental risks and the long-term sequelae of developmental programming. Future research must prioritize longitudinal, multi-generational studies and the development of standardized protocols for integrated biosignal analysis to fully operationalize these insights for personalized obstetric care and the prevention of chronic adult diseases through early intrauterine intervention.

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