Skip to main content

PERSPECTIVE article

Front. Cell. Neurosci., 03 May 2024
Sec. Cellular Neuropathology
This article is part of the Research Topic Human Brain Organoids to Model Neurodegenerative Diseases at the BOSS23 Brain Organoid Summer School View all 6 articles

Exploring the prospects, advancements, and challenges of in vitro modeling of the heart-brain axis

Senegal Alfred Mabry
Senegal Alfred Mabry1*Narciso PavonNarciso Pavon2
  • 1Affect and Cognition Laboratory, Department of Psychology and Human Development, College of Human Ecology, Cornell University, Ithaca, NY, United States
  • 2ChangHui Pak Laboratory, Department of Biochemistry and Molecular Biology, College of Natural Sciences, University of Massachusetts-Amherst, Amherst, MA, United States

Research on bidirectional communication between the heart and brain has often relied on studies involving nonhuman animals. Dependance on animal models offer limited applicability to humans and a lack of high-throughput screening. Recently, the field of 3D cell biology, specifically organoid technology, has rapidly emerged as a valuable tool for studying interactions across organ systems, i.e., gut-brain axis. The initial success of organoid models indicates the usefulness of 3D cultures for elucidating the intricate interactivity of the autonomic nervous system and overall health. This perspective aims to explore the potential of advancing in vitro modeling of the heart-brain axis by discussing the benefits, applications, and adaptability of organoid technologies. We closely examine the current state of brain organoids in conjunction with the advancements of cardiac organoids. Moreover, we explore the use of combined organoid systems to investigate pathophysiology and provide a platform for treatment discovery. Finally, we address the challenges that accompany the use of 3D models for studying the heart-brain axis with an emphasis on generating tailored engineering strategies for further refinement of dynamic organ system modeling in vitro.

1 Introduction

The heart and the brain have a mutually indispensable relationship. Dysfunction in one organ system causing pathological changes in the other are clinical implications of the heart-brain axis (Manea et al., 2015; Tahsili-Fahadan and Geocadin, 2017; Sha et al., 2023), but their interconnectedness is deeper. Brain and heart development occurs early and almost simultaneously in organogenesis (Donovan and Cascella, 2024). The precise dance of timing and signaling in neurogenesis and cardiogenesis is regulated by genes for progenitor proliferation (Sonic Hedgehog) and cellular commitment (notch, jagged, Nkx2.5), shared among various organs, but that have exclusive roles in shaping heart and brain development (Simeone et al., 1995; Dessaud et al., 2008). Nearly half of congenital heart issues are linked to complications in genetics (Wnt, Sonic Hedgehog, Bone Morphogenetic Protein) that aid neural crest development, heart septation, and cell migration (Dessaud et al., 2007, 2008; Yu et al., 2008; Buijtendijk et al., 2020).

A network of brain regions, including the hypothalamus, cerebellum, amygdala, and insula, make up the central autonomic network. Sympathetic, parasympathetic, and sensory nerves abundantly innervate the heart (Fukuda et al., 2015), and their direct influence over the sinoatrial and atrioventricular nodes supports the contraction of heart muscles and the pumping of blood. The brain regions in the central autonomic network regulate sympathetic and parasympathetic heart activity through afferent and efferent vagal pathways (Silvani et al., 2016). Vagal efferents modulate cardiac activity, but the nerve is primarily composed of afferents (70%), which produce Calcitonin gene-related peptides in the heart that can cause adverse cardiac remodeling or have cardioprotective effects (Berthoud and Neuhuber, 2000; Chai et al., 2006; Meléndez et al., 2011; Habecker et al., 2016). The cerebellum and the hypothalamus receive cardiac signals from heart sensory nerves. They can both modulate heart rate or ejection fraction, for example, through the critical Hypothalamic–Pituitary–Adrenal Axis, or they can relay cardiac signals elsewhere in the brain (Sheng et al., 2021; Neubert et al., 2023). The amygdala and insula receive cardiac signals, interpret autonomic arousal, and then modulate sympathetic and parasympathetic activity to meet emotional needs (Chouchou et al., 2019). The locus coeruleus in the hindbrain, which produces norepinephrine for the brain, can also increase sympathetic activity or decrease parasympathetic activity in cardiac nerves and is implicated in genetic and stress-induced cardiovascular diseases (Wood and Valentino, 2017; Lian et al., 2023).

The peculiar and powerful ways that brain or heart affliction disrupts the other system indicate that their partnership is unique. We recognize that the body is an integrated system, and it follows that if there is an injury or developmental abnormality in one organ, others may be affected. But why and how, in Takotsubo syndrome, neural activity like extreme psychological stress or the hyperconnectivity of autonomic brain regions may cause the fully formed left ventricle to balloon to a different shape in adulthood goes unexplained with our current knowledge of organ crosstalk (Rossi et al., 2022). Other puzzling cases of heart-brain axis dysfunction are numerous and occur across the lifespan. Parkinson’s disease patients have been subtyped into body-first or brain-first disease trajectories using multimodal images of the heart and brain (Horsager et al., 2020), but it is unclear why and how the heart would be a propagation site for α-synuclein (Van Den Berge and Ulusoy, 2022). High AB amyloid levels in familial hypercholesterolemia patients and risk for mild cognitive impairment exceed age predictors and sporadic hypertension control groups (Zambón et al., 2010). Genetic and in-utero environmental complications cause congenital heart diseases with severe neurodevelopmental issues (Sha et al., 2023) and lifelong impacts on heart and brain development.

Identifying how the partnership between the heart and brain influences development, (see Figure 1A), and disease is difficult for researchers to do in vivo. Processes causing heart and brain interdependence are challenging to identify outside of fetal development because as neonates’ human hearts and brains shift from cell proliferation to maturation. In humans, protein expression differs from mice (Lin et al., 2014), and there are tremendous temporal and genetic expression differences in heart-brain disorders (Pervolaraki et al., 2013, 2018). Failure in fetal heart adaptations that support brain oxygenation, e.g., placenta formation, disrupts the brain growth cycle early in development (Miller et al., 2016; Zhang and Lindsey, 2023). The changes are so early that neuroimaging checking for abnormalities comes too late in cases of congenital heart disease or from in-utero environmental factors like gestational diabetes, prenatal stress, and preeclampsia (Limperopoulos et al., 2010; McQuillen and Miller, 2010). We believe a functional fetal model of the human heart-brain axis can be built in vitro to uncover meaningful hidden relationships across the lifespan.

Figure 1
www.frontiersin.org

Figure 1. (A) Genetic and environmental cues guide cell proliferation of the earliest heart-brain-like structures. Neural crest cell migration innervates the heart with sympathetic, parasympathetic, and sensory nerves. The heart and the placenta support the brain’s growth cycle with oxygen autonomically because their mutual relationship has been formed through cell connections and paracrine signaling. Genetic, structural, autonomic, and cell communication factors are essential elements of heart-brain communication postnatally. (B) Researchers’ questions primarily determine their cell culturing approach. Organoids, the self-assembling 3D model that can be connected with other tissue to form assembloids, may be the most useful for investigating heart-brain connections because of their developmental and functional capabilities. Figure created using Biorender (https://biorender.com/).

2 In vitro organ modeling capabilities and their heart-brain axis applications

2.1 Current state of in vitro modeling for organ connections and dysfunction

Organ cells cultured in laboratories recapitulate fetal tissue properties and functions. Cultures are embryogenic copies of organs generated from stem cells (embryonic or pluripotent) donated by healthy humans or clinical patients or taken from animals for genetic and tissue property testing. See Figure 1B for the types of cultures referenced throughout the perspective. For in vitro culturing and analysis fundamentals, see Duval et al. (2017), then return here for heart and brain modeling specifics. Before delving into heart-brain implications, it is crucial to highlight the advanced capabilities of in vitro models. Researchers have started using two or more connected organoids, known as assembloids, for modeling interactions between multiple organ systems. Assembloids have recapitulated cortico-thalamic, cortical-subpallium, cortico-striatal, gut-brain, visual system, and hindbrain-skeletal muscle interactions (Bagley et al., 2017; Birey et al., 2017; Xiang et al., 2019; Andersen et al., 2020; Miura et al., 2020; Fligor et al., 2021; Reiner et al., 2021). Morphogens guide cell fate differentiation, enhance reproducibility, and yield brain organoids with specific cell fates (Muguruma et al., 2015; Birey et al., 2017; Xiang et al., 2017, 2019) and cardiac organoids with neurons or endothelial cells resembling fetal heart development (Marini et al., 2022). Culturing adult cell types is difficult, but in vitro modeling of Huntington’s and Parkinson’s has identified early markers of these midlife or late-life diseases (Smits et al., 2019; Andrews and Kriegstein, 2022).

An exemplar of in vitro model effectiveness comes from research on tuberous sclerosis complex. This disorder afflicts adults and children with numerous benign tumors in different organ systems, and brain tumors can lead to severe neurological issues (Henske et al., 2016). Animals cannot appropriately model pathognomonic lesions in the disease, and postmortem patient tissue rarely reveals loss of heterozygosity, an important biomarker, in dysplastic tissues. So, Eichmüller et al. (2022) cultured brain organoids from patients with tuberous sclerosis complex genetic mutations and, in recreating fetal processes, captured the emergence of brain tumors and identified the progenitor population that gives rise to them. Moreover, an integrated model of the heart and brain would be particularly beneficial for this research, as tumors associated with tuberous sclerosis complex often manifest first in the heart (Hinton et al., 2014). However, unlike in the brain, they fade (Will et al., 2023) and rarely lead to severe issues. Replaying fetal development in integrated models may unravel organs’ developmental journeys to reveal insights into development and disease.

2.2 In vitro models of heart-brain axis

We limit this perspective to findings from using or building in vitro tools to uncover more about the exclusive relationship between the heart and the brain. Firstly, we share insights from modeling sympathetic neuron control of cardiomyocytes in traditional cell cultures. The sympathetic-cardiomyocyte connection is a direct pathway for heart-brain axis communication, but there are limitations inherent in using traditional cultures for this modeling. Secondly, we explore 3D models for findings that cannot be achieved in traditional cultures but which stop short of accurately modeling development and integrated function of the human heart and brain. Lastly, we discuss the feasibility of creating human heart-brain assembloids (hHBAs) to develop the model most comparable to organ development and function, as the human 3D tool has yet to be introduced.

3 Limitations and insights from modeling sympathetic cardiomyocyte regulation in traditional cell cultures

3.1 Traditional cultures limit faithful modeling of sympathetic-cardiomyocyte tissue features

In the heart-brain axis, connections between sympathetic and parasympathetic neurons and cardiomyocytes provide direct pathways for neural regulation of cardiac functions such as contractility and automaticity (Gordan et al., 2015). Cultures can recapitulate sympathetic efferent control of the heart. Oh et al. (2016) first stimulated mouse sympathetic neurons with nicotine and measured increased beating in co-cultured myocytes. Modeling efferent control of the heart is needed to investigate the development of the partnership between the heart and the brain. Autonomic breakdowns can occur as early as embryogenesis (Al Nafisi et al., 2013; Siddiqui et al., 2015), the malformation of sympathetic neurons is linked to prenatal heart failure and postnatal arrhythmia (Tada et al., 2007; Brack et al., 2013). On the one hand, research into sympathetic control of cardiomyocytes in traditional cultures has yielded findings into how heart and brain development is codependent and relevant for disease. On the other hand, this research in traditional cultures faces limitations, especially when compared to more advanced 3D models that have addressed issues such as no cell-environment interactions (Cukierman et al., 2001; Ravi et al., 2015), decreased cell junctions (Soares et al., 2012), and unnaturally rapid cell proliferation with poor differentiation (Ravi et al., 2015; Costa et al., 2016; Langhans, 2018).

We explain the shortcomings of traditional cultures in sympathetic neuron cardiomyocyte modeling first. Traditional cultures cannot recapitulate details of heart-brain interactions because they lack cell-matrix interactions, preventing them from forming complex tissue structures. Research in traditional cultures like Takayama et al. (2020), where nicotine-stimulated parasympathetic and sympathetic neurons inversely alter cardiomyocyte beating, is less faithful to in vivo processes because organ structure cannot be replicated. In parasympathetic regulation of the heart, the neurons are located in the epicardium and regulate activity in the sinoatrial and atrioventricular nodes, which have functions and tissue properties specific to heartbeat regulation that are not accounted for in traditional cultures (Stavrakis and Po, 2017). In 3D cultures, guided differentiation with cell-matrix interactions engenders fetal-like heart structures (left ventricle, right ventricle, atria, outflow tract, and the atrioventricular canal), providing a tool to test function and structure (Schmidt et al., 2023). Additionally, different gradients of the sympathetic innervation of heart regions cannot be modeled in traditional cultures (Volmert et al., 2023). Sympathetic innervation gradients in cardiac nodes are linked to mouse bradycardia and likely influence brain-heart control (Chow et al., 1993; Kawano et al., 2003; Maden et al., 2012; Tillo et al., 2012; Hasan, 2013).

3.2 Findings from traditional cultures could be reproduced with 3D models

Modeling sympathetic regulation of cardiomyocytes in traditional cultures underscores the significance of sympathetic and parasympathetic neuron plasticity in development and disease (Kanazawa and Fukuda, 2022). Traditional cultures enhance researchers’ capacity to model features of organ interconnections. However, 3D culture research could replicate these findings while addressing structural limitations inherent in traditional cultures. In experiments with sympathetic mouse neuron cultures, Larsen et al. (2016) found that the condition of the neurons (healthy or pro-hypertensive) affected heart cell responses, not the condition of the co-cultured human heart cells. Their experiments found that genes crucial for heart development were more active in mouse neurons and human cardiomyocyte co-culture than in cardiomyocytes alone. Norepinephrine is one of the main neurochemicals exerting control over the heart (Elia and Fossati, 2023). Winbo et al. (2020) add neuromodulatory capabilities to sympathetic-cardiomyocyte modeling by co-culturing norepinephrine-secreting sympathetic neurons with cardiomyocytes and demonstrating that cardiomyocytes increased beating after neuronal nicotine stimulation. Nevertheless, single and multi-organ 3D cultures of the heart and brain have led to research findings that traditional cultures could not have uncovered.

4 Advantages, insights, and considerations in modeling the human heart-brain axis in 3D cultures up to the early fetal period

4.1 Advantages of 3D cultures, particularly organoids for reproducing development features and fetal organ function

Culturing 3D tissues, especially organoids, yields insights into heart and brain interdependence that are not achievable in other systems because they provide a more accurate representation of development and human physiological responses (Haisler et al., 2013; Imamura et al., 2015; Voges et al., 2017; Menasché et al., 2018). Advancements in cardiac organoids enable the discovery of specific organ interconnections and functional features. Hofbauer et al. (2021) cultured cardiac organoids that developed endocardial cells and a chamber-like cavity, a feature other tools, particularly traditional cultures, cannot replicate. Lewis-Israeli et al. (2021) cultured cardiac organoids with epicardium, endocardium, and cardiac fibroblast cell types. The ability to culture cardiac organoids with heart chamber-like cavities and diverse cell types is crucial for faithfully modeling how the heart and brain become intertwined in development. Through mechanobiological processes, cross-talk between the brain, early heart structures, epicardium, and endocardial cells influences cytodifferentiation and organ pathophysiology. With organoids, developmental plasticity is often coupled with appropriate organ physiological responses. Hofbauer et al. (2021) leveraged that benefit to demonstrate fetal cardiac regeneration capabilities, and Lewis-Israeli et al. (2021) demonstrated how in-utero environmental differences cause cardiac structure abnormalities.

4.2 Insights and considerations in relevant 3D multi-organ modeling of heart and brain interconnections

The fidelity of 3D cultures to fetal organ development processes and function sparked a new goal among researchers: to culture 3D multi-organ models (Picollet-D’hahan et al., 2021). Researchers interested in modeling the human gut-brain axis in vitro have successfully used assembloids to uncover meaningful hidden connections between systems (Bellono et al., 2017; Kim et al., 2021; Trapecar et al., 2021). See Figure 2A for the different techniques for connecting organoids. Bellono et al. (2017) demonstrated how enterochromaffin chemoreceptors communicate environmental and homeostatic processes from the gut directly to the nervous system, and Trapecar et al. (2021) discovered gene expression mechanisms for neuron, astrocyte, and microglia maturation and function. Despite these successes in uncovering links between organ systems using assembloids for gut-brain dynamics, a human heart-brain assembloid (hHBA) has yet to be cultured and tested. Instead, the most relevant human multi-organ model of the heart and brain was built using gastruloids that mimic early embryogenic, not fetal, organ development and lack functional capabilities (Olmsted and Paluh, 2022). While there is room for critique on how models were built or tested, many 3D multi-organ models have findings relevant to uncovering heart-brain dynamics or culturing a future hHBA.

Figure 2
www.frontiersin.org

Figure 2. (A) These techniques have the same benefits for connecting heart-brain organoids into assembloids. Researchers may use static contact or microfluidics to avoid potential issues with different ECMs across multiple organoids. Co-culturing may negate the structural benefits of 3D cultures. (B) Parkinson’s disease has many opaque heart-brain connections. Heart, hindbrain, and midbrain cells connected in one hHBA could answer these three questions about the disease. First, introducing human alpha-synuclein to heart cells and observing propagation in a hHBA could show how alpha-synuclein spreads through the sympathetic nervous system. Second, stimulating midbrain cells with Pramipexole may show how some pharmaceutical interventions increase dopamine in midbrain cells but cause cardiotoxicity. Third, by culturing LRRK2+, patient-derived-iPSCs may show genetic connections in midbrain cell death and sympathetic denervation. Figure created using Biorender (https://biorender.com/).

In chronological order, Skardal et al. (2020) co-cultured assembloid of the liver, lung, testes, heart, and brain and revealed cardiotoxicity in cells exposed to drugs recalled by the US Food and Drug Administration. Their work demonstrates the feasibility of integrating models of the heart and brain, but the authors do not test neuro-cardiac interconnectedness in their model. Then, Rossi et al. (2021) cultured mouse gastruloids and discovered that regulatory factors from non-cardiomyocytes, such as vascular endothelial growth factors and fibroblast growth factors, could influence cardiomyocyte beating. Without providing specific heart-brain insights, this work is still relevant for future neuro-cardiac modeling because it introduced a new engineering approach and demonstrated how other cell factors influence cardiomyocytes (Yang et al., 2020). Later, Drakhlis et al. (2021) and Silva et al. (2021) cultured heart-gut multi-organ models and, respectively, showed foregut cells interweaved and scattered throughout the cardiac tissue and a transcriptional state roughly equidistant from cardiac and gut progenitors. Even without direct heart and brain implications, these models illustrate the tissue and genetic differences in 3D multi-organ models. Later, Olmsted and Paluh (2022) showed gastruloids with neuro-cardiac cooperation precursors, e.g., neuropeptide Y and brain-derived neurotrophic factor, exhibiting a more autonomic transcriptomic phenotype compared to gastruloids lacking cardiac signaling. However, gastruloids are early embryonic models unsuitable for testing functional organ coupling. Liu et al. (2023) co-cultured reprogrammed mouse fibroblasts, transformed into autonomic ganglion organoids with neonatal mouse ventricular myocytes. This research is just short of an hHBA, and excitingly, stimulation of the autonomic ganglions with nicotine increased mouse myocyte beating, replicating the findings from traditional cultures. Lastly, Hernandez et al. (2023) bioprinted neuronal Parkinson’s model cells and cardiomyocytes to create a tissue development platform. However, this may be more useful in the future as an intervention than for uncoupling brain and heart connections.

5 Discussion: considerations in culturing hHBAs and culturing hHBAs from patient-iPSCs with heart and brain abnormalities

This perspective is timely to offer guidance for future human heart-brain in vitro research because a tool for investigating organ connections during development and disease has yet to be introduced. Humans have different developmental timelines and transcriptomics than mice (Anzai et al., 2020), and human tissue may prove more beneficial for drug testing than animals (Varga et al., 2015; Van Norman, 2019). Addressing media needs for different types of connected tissues may be challenging, but issues will likely be specific to researchers’ design choices. Design standards have been difficult to set for in vitro models because of researchers’ diverse questions and the almost unlimited flexibility in what can be cultured. Uncoupling the role of the autonomic nervous system in the heart-brain axis may be of keen interest to researchers who culture hHBAs. However, there are also applications for genetic, tissue abnormality, and drug toxicity experiments. Figure 2B illustrates the design of an hHBA cultured to study all those areas in Parkinson’s disease. Clear rationale is crucial to ensure dissimilar hHBA models still better the field’s understanding of organ interconnectedness (Cho et al., 2022). The likely use of patient cells to study the heart-brain axis heightens the case for clear design choices. While patient-iPSCs may influence developmental signaling pathways unexpectedly, they may also accelerate research.

Brain diseases can affect the heart via genetics and autonomic processes, and vice versa for heart diseases. With patient-iPSCs, pathological dysfunctions in heart and brain tissues could be used to identify any interrelationship between abnormalities using hHBAs. For example, SCN1A gene expression is associated with sudden unexplained death in epilepsy (SUDEP), which has unclear connections to the heart and the brain. Patients with Dravet syndrome, a rare genetic encephalopathy, have a higher risk for SUDEP (Kearney, 2013) and often have variations in the SCN1A gene. Dravet syndrome patient-iPSCs develop cardiac (Frasier et al., 2018) and neural (Higurashi et al., 2013) abnormalities in ways indicating neuronal hyperexcitability and predisposition for arrhythmia are caused by SCN1A haploinsufficiency. Culturing an hHBA from Dravet syndrome patient-iPSCs will more closely resemble in vivo developmental changes in structure and function from SCN1A expression. SCN1A is expressed in both the heart and brain (Malhotra et al., 2001; Mishra et al., 2015), so only an hHBA can elucidate when, where, and how SCN1A gene expression starts to affect and intertwine systems pathologically. Culturing an hHBA from patient cells allows researchers to closely mimic human organ processes in a connected system. If researchers are going to enhance the field’s understanding of the heart-brain axis, then research on in vitro systems that can tackle the complexity of their partnership must advance.

Author contributions

SAM: Conceptualization, Project administration, Writing – original draft, Writing – review & editing. NP: Visualization, Writing – original draft, Writing – review & editing.

Funding

The author (s) declare financial support was received for the research, authorship, and/or publication of this article. Funding for this publication was provided by the Cornell Open Access Publishing (COAP) Fund and the UMass Amherst Libraries SOAR (Supporting Open Access Research) Fund.

Acknowledgments

Thank you to the Affect and Cognition Lab for your thoughtful comments on an earlier draft and thank you to the Summer Program in Neuroscience Excellence and Success at the Marine Biological Laboratory at Woods Hole for connecting SM and NP through an incredible learning opportunity.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Al Nafisi, B., Van Amerom, J. F., Forsey, J., Jaeggi, E., Grosse-Wortmann, L., Yoo, S.-J., et al. (2013). Fetal circulation in left-sided congenital heart disease measured by cardiovascular magnetic resonance: a case–control study. J. Cardiovasc. Magn. Reson. 15:65. doi: 10.1186/1532-429X-15-65

PubMed Abstract | Crossref Full Text | Google Scholar

Andersen, J., Revah, O., Miura, Y., Thom, N., Amin, N. D., Kelley, K. W., et al. (2020). Generation of functional human 3D Cortico-motor Assembloids. Cell 183, 1913–1929.e26. doi: 10.1016/j.cell.2020.11.017

PubMed Abstract | Crossref Full Text | Google Scholar

Andrews, M. G., and Kriegstein, A. R. (2022). Challenges of organoid research. Annu. Rev. Neurosci. 45, 23–39. doi: 10.1146/annurev-neuro-111020-090812

PubMed Abstract | Crossref Full Text | Google Scholar

Anzai, T., Yamagata, T., and Uosaki, H. (2020). Comparative transcriptome landscape of mouse and human hearts. Front. Cell and Develop. Biol. 8:268. doi: 10.3389/fcell.2020.00268

PubMed Abstract | Crossref Full Text | Google Scholar

Bagley, J. A., Reumann, D., Bian, S., Lévi-Strauss, J., and Knoblich, J. A. (2017). Fused cerebral organoids model interactions between brain regions. Nat. Methods 14, 743–751. doi: 10.1038/nmeth.4304

PubMed Abstract | Crossref Full Text | Google Scholar

Bellono, N. W., Bayrer, J. R., Leitch, D. B., Castro, J., Zhang, C., O’Donnell, T. A., et al. (2017). Enterochromaffin cells are gut Chemosensors that couple to sensory neural pathways. Cell 170, 185–198.e16. doi: 10.1016/j.cell.2017.05.034

PubMed Abstract | Crossref Full Text | Google Scholar

Berthoud, H.-R., and Neuhuber, W. L. (2000). Functional and chemical anatomy of the afferent vagal system. Auton. Neurosci. 85, 1–17. doi: 10.1016/S1566-0702(00)00215-0

Crossref Full Text | Google Scholar

Birey, F., Andersen, J., Makinson, C. D., Islam, S., Wei, W., Huber, N., et al. (2017). Assembly of functionally integrated human forebrain spheroids. Nature 545, 54–59. doi: 10.1038/nature22330

PubMed Abstract | Crossref Full Text | Google Scholar

Brack, K. E., Winter, J., and Ng, G. A. (2013). Mechanisms underlying the autonomic modulation of ventricular fibrillation initiation—tentative prophylactic properties of vagus nerve stimulation on malignant arrhythmias in heart failure. Heart Fail. Rev. 18, 389–408. doi: 10.1007/s10741-012-9314-2

PubMed Abstract | Crossref Full Text | Google Scholar

Buijtendijk, M. F. J., Barnett, P., and Van Den Hoff, M. J. B. (2020). Development of the human heart. Am. J. Med. Genet. C: Semin. Med. Genet. 184, 7–22. doi: 10.1002/ajmg.c.31778

PubMed Abstract | Crossref Full Text | Google Scholar

Chai, W., Mehrotra, S., Jan Danser, A. H., and Schoemaker, R. G. (2006). The role of calcitonin gene-related peptide (CGRP) in ischemic preconditioning in isolated rat hearts. Eur. J. Pharmacol. 531, 246–253. doi: 10.1016/j.ejphar.2005.12.039

PubMed Abstract | Crossref Full Text | Google Scholar

Cho, S., Discher, D. E., Leong, K. W., Vunjak-Novakovic, G., and Wu, J. C. (2022). Challenges and opportunities for the next generation of cardiovascular tissue engineering. Nat. Methods 19, 1064–1071. doi: 10.1038/s41592-022-01591-3

Crossref Full Text | Google Scholar

Chouchou, F., Mauguière, F., Vallayer, O., Catenoix, H., Isnard, J., Montavont, A., et al. (2019). How the insula speaks to the heart: cardiac responses to insular stimulation in humans. Hum. Brain Mapp. 40, 2611–2622. doi: 10.1002/hbm.24548

PubMed Abstract | Crossref Full Text | Google Scholar

Chow, L. T., Chow, S. S., Anderson, R. H., and Gosling, J. A. (1993). Innervation of the human cardiac conduction system at birth. Heart 69, 430–435. doi: 10.1136/hrt.69.5.430

PubMed Abstract | Crossref Full Text | Google Scholar

Costa, E. C., Moreira, A. F., De Melo-Diogo, D., Gaspar, V. M., Carvalho, M. P., and Correia, I. J. (2016). 3D tumor spheroids: An overview on the tools and techniques used for their analysis. Biotechnol. Adv. 34, 1427–1441. doi: 10.1016/j.biotechadv.2016.11.002

PubMed Abstract | Crossref Full Text | Google Scholar

Cukierman, E., Pankov, R., Stevens, D. R., and Yamada, K. M. (2001). Taking cell-matrix adhesions to the third dimension. Science 294, 1708–1712. doi: 10.1126/science.1064829

PubMed Abstract | Crossref Full Text | Google Scholar

Dessaud, E., McMahon, A. P., and Briscoe, J. (2008). Pattern formation in the vertebrate neural tube: a sonic hedgehog morphogen-regulated transcriptional network. Development 135, 2489–2503. doi: 10.1242/dev.009324

PubMed Abstract | Crossref Full Text | Google Scholar

Dessaud, E., Yang, L. L., Hill, K., Cox, B., Ulloa, F., Ribeiro, A., et al. (2007). Interpretation of the sonic hedgehog morphogen gradient by a temporal adaptation mechanism. Nature 450, 717–720. doi: 10.1038/nature06347

Crossref Full Text | Google Scholar

Donovan, M. F., and Cascella, M. (2024). Embryology, weeks 6–8. In StatPearls. StatPearls Publishing. Available at: http://www.ncbi.nlm.nih.gov/books/NBK563181/

Google Scholar

Drakhlis, L., Biswanath, S., Farr, C.-M., Lupanow, V., Teske, J., Ritzenhoff, K., et al. (2021). Human heart-forming organoids recapitulate early heart and foregut development. Nat. Biotechnol. 39, 737–746. doi: 10.1038/s41587-021-00815-9

Crossref Full Text | Google Scholar

Duval, K., Grover, H., Han, L.-H., Mou, Y., Pegoraro, A. F., Fredberg, J., et al. (2017). Modeling physiological events in 2D vs. 3D cell culture. Physiology 32, 266–277. doi: 10.1152/physiol.00036.2016

PubMed Abstract | Crossref Full Text | Google Scholar

Eichmüller, O. L., Corsini, N. S., Vértesy, Á., Morassut, I., Scholl, T., Gruber, V.-E., et al. (2022). Amplification of human interneuron progenitors promotes brain tumors and neurological defects. Science 375:eabf5546. doi: 10.1126/science.abf5546

PubMed Abstract | Crossref Full Text | Google Scholar

Elia, A., and Fossati, S. (2023). Autonomic nervous system and cardiac neuro-signaling pathway modulation in cardiovascular disorders and Alzheimer’s disease. Front. Physiol. 14:1060666. doi: 10.3389/fphys.2023.1060666

PubMed Abstract | Crossref Full Text | Google Scholar

Fligor, C. M., Lavekar, S. S., Harkin, J., Shields, P. K., VanderWall, K. B., Huang, K.-C., et al. (2021). Extension of retinofugal projections in an assembled model of human pluripotent stem cell-derived organoids. Stem Cell Reports 16, 2228–2241. doi: 10.1016/j.stemcr.2021.05.009

PubMed Abstract | Crossref Full Text | Google Scholar

Frasier, C. R., Zhang, H., Offord, J., Dang, L. T., Auerbach, D. S., Shi, H., et al. (2018). Channelopathy as a SUDEP biomarker in Dravet syndrome patient-derived cardiac myocytes. Stem Cell Reports 11, 626–634. doi: 10.1016/j.stemcr.2018.07.012

PubMed Abstract | Crossref Full Text | Google Scholar

Fukuda, K., Kanazawa, H., Aizawa, Y., Ardell, J. L., and Shivkumar, K. (2015). Cardiac innervation and sudden cardiac death. Circ. Res. 116, 2005–2019. doi: 10.1161/CIRCRESAHA.116.304679

PubMed Abstract | Crossref Full Text | Google Scholar

Gordan, R., Gwathmey, J. K., and Xie, L.-H. (2015). Autonomic and endocrine control of cardiovascular function. World J. Cardiol. 7, 204–214. doi: 10.4330/wjc.v7.i4.204

PubMed Abstract | Crossref Full Text | Google Scholar

Habecker, B. A., Anderson, M. E., Birren, S. J., Fukuda, K., Herring, N., Hoover, D. B., et al. (2016). Molecular and cellular neurocardiology: development, and cellular and molecular adaptations to heart disease. J. Physiol. 594, 3853–3875. doi: 10.1113/JP271840

PubMed Abstract | Crossref Full Text | Google Scholar

Haisler, W. L., Timm, D. M., Gage, J. A., Tseng, H., Killian, T. C., and Souza, G. R. (2013). Three-dimensional cell culturing by magnetic levitation. Nat. Protoc. 8, 1940–1949. doi: 10.1038/nprot.2013.125

Crossref Full Text | Google Scholar

Hasan, W. (2013). Autonomic cardiac innervation: development and adult plasticity. Organ 9, 176–193. doi: 10.4161/org.24892

PubMed Abstract | Crossref Full Text | Google Scholar

Henske, E. P., Jóźwiak, S., Kingswood, J. C., Sampson, J. R., and Thiele, E. A. (2016). Tuberous sclerosis complex. Nat. Rev. Dis. Prim. 2:16035. doi: 10.1038/nrdp.2016.35

Crossref Full Text | Google Scholar

Hernandez, I., Ramirez, S. P., Salazar, W. V., Mendivil, S., Guevara, A., Patel, A., et al. (2023). A semi-three-dimensional bioprinted Neurocardiac system for tissue engineering of a cardiac autonomic nervous system model. Bioengineering 10:834. doi: 10.3390/bioengineering10070834

PubMed Abstract | Crossref Full Text | Google Scholar

Higurashi, N., Uchida, T., Lossin, C., Misumi, Y., Okada, Y., Akamatsu, W., et al. (2013). A human Dravet syndrome model from patient induced pluripotent stem cells. Mol. Brain 6:19. doi: 10.1186/1756-6606-6-19

PubMed Abstract | Crossref Full Text | Google Scholar

Hinton, R. B., Prakash, A., Romp, R. L., Krueger, D. A., and Knilans, T. K. (2014). Cardiovascular manifestations of tuberous sclerosis complex and summary of the revised diagnostic criteria and surveillance and management recommendations from the international tuberous sclerosis consensus group. J. Am. Heart Assoc. 3:e001493. doi: 10.1161/JAHA.114.001493

PubMed Abstract | Crossref Full Text | Google Scholar

Hofbauer, P., Jahnel, S. M., Papai, N., Giesshammer, M., Deyett, A., Schmidt, C., et al. (2021). Cardioids reveal self-organizing principles of human cardiogenesis. Cell 184, 3299–3317.e22. doi: 10.1016/j.cell.2021.04.034

PubMed Abstract | Crossref Full Text | Google Scholar

Horsager, J., Andersen, K. B., Knudsen, K., Skjærbæk, C., Fedorova, T. D., Okkels, N., et al. (2020). Brain-first versus body-first Parkinson’s disease: a multimodal imaging case-control study. Brain 143, 3077–3088. doi: 10.1093/brain/awaa238

PubMed Abstract | Crossref Full Text | Google Scholar

Imamura, Y., Mukohara, T., Shimono, Y., Funakoshi, Y., Chayahara, N., Toyoda, M., et al. (2015). Comparison of 2D- and 3D-culture models as drug-testing platforms in breast cancer. Oncol. Rep. 33, 1837–1843. doi: 10.3892/or.2015.3767

PubMed Abstract | Crossref Full Text | Google Scholar

Kanazawa, H., and Fukuda, K. (2022). The plasticity of cardiac sympathetic nerves and its clinical implication in cardiovascular disease. Front. Synaptic Neurosci. 14:960606. doi: 10.3389/fnsyn.2022.960606

PubMed Abstract | Crossref Full Text | Google Scholar

Kawano, H., Okada, R., and Yano, K. (2003). Histological study on the distribution of autonomic nerves in the human heart. Heart Vessel. 18, 32–39. doi: 10.1007/s003800300005

PubMed Abstract | Crossref Full Text | Google Scholar

Kearney, J. (2013). Sudden unexpected death in Dravet syndrome: SUDEP in Dravet mouse model. Epilepsy Currents 13, 264–265. doi: 10.5698/1535-7597-13.6.264

PubMed Abstract | Crossref Full Text | Google Scholar

Kim, M.-H., Kim, D., and Sung, J. H. (2021). A gut-brain Axis-on-a-Chip for studying transport across epithelial and endothelial barriers. J. Ind. Eng. Chem. 101, 126–134. doi: 10.1016/j.jiec.2021.06.021

Crossref Full Text | Google Scholar

Langhans, S. A. (2018). Three-dimensional in vitro cell culture models in drug discovery and drug repositioning. Front. Pharmacol. 9:6. doi: 10.3389/fphar.2018.00006

PubMed Abstract | Crossref Full Text | Google Scholar

Larsen, H. E., Lefkimmiatis, K., and Paterson, D. J. (2016). Sympathetic neurons are a powerful driver of myocyte function in cardiovascular disease. Sci. Rep. 6:38898. doi: 10.1038/srep38898

PubMed Abstract | Crossref Full Text | Google Scholar

Lewis-Israeli, Y. R., Wasserman, A. H., Gabalski, M. A., Volmert, B. D., Ming, Y., Ball, K. A., et al. (2021). Self-assembling human heart organoids for the modeling of cardiac development and congenital heart disease. Nat. Commun. 12:5142. doi: 10.1038/s41467-021-25329-5

PubMed Abstract | Crossref Full Text | Google Scholar

Lian, X. T., Qing, X., Wang, Y. L., LeYuan, G., Qian, Y., Shao, W. H., et al. (2023). Noradrenergic pathway from the locus Coeruleus to heart is implicated in modulating SUDEP. iScience 26:106284. doi: 10.1016/j.isci.2023.106284

PubMed Abstract | Crossref Full Text | Google Scholar

Limperopoulos, C., Tworetzky, W., McElhinney, D. B., Newburger, J. W., Brown, D. W., Robertson, R. L., et al. (2010). Brain volume and metabolism in fetuses with congenital heart disease: evaluation with quantitative magnetic resonance imaging and spectroscopy. Circulation 121, 26–33. doi: 10.1161/CIRCULATIONAHA.109.865568

PubMed Abstract | Crossref Full Text | Google Scholar

Lin, S., Lin, Y., Nery, J. R., Urich, M. A., Breschi, A., Davis, C. A., et al. (2014). Comparison of the transcriptional landscapes between human and mouse tissues. Proc. Natl. Acad. Sci. 111, 17224–17229. doi: 10.1073/pnas.1413624111

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, S., Xiang, K., Yuan, F., and Xiang, M. (2023). Generation of self-organized autonomic ganglion organoids from fibroblasts. IScience 26:106241. doi: 10.1016/j.isci.2023.106241

PubMed Abstract | Crossref Full Text | Google Scholar

Maden, C. H., Gomes, J., Schwarz, Q., Davidson, K., Tinker, A., and Ruhrberg, C. (2012). NRP1 and NRP2 cooperate to regulate gangliogenesis, axon guidance and target innervation in the sympathetic nervous system. Dev. Biol. 369, 277–285. doi: 10.1016/j.ydbio.2012.06.026

PubMed Abstract | Crossref Full Text | Google Scholar

Malhotra, J. D., Chen, C., Rivolta, I., Abriel, H., Malhotra, R., Mattei, L. N., et al. (2001). Characterization of Sodium Channel α- and β-subunits in rat and mouse cardiac myocytes. Circulation 103, 1303–1310. doi: 10.1161/01.CIR.103.9.1303

PubMed Abstract | Crossref Full Text | Google Scholar

Manea, M., Comsa, M., Minca, A., Dragos, D., and Popa, C. (2015). Brain-heart axis—review article. J. Med. Life 8, 266–271

PubMed Abstract | Google Scholar

Marini, V., Marino, F., Aliberti, F., Giarratana, N., Pozzo, E., Duelen, R., et al. (2022). Long-term culture of patient-derived cardiac organoids recapitulated Duchenne muscular dystrophy cardiomyopathy and disease progression. Front. Cell and Develop. Biol. 10:878311. doi: 10.3389/fcell.2022.878311

PubMed Abstract | Crossref Full Text | Google Scholar

McQuillen, P. S., and Miller, S. P. (2010). Congenital heart disease and brain development. Ann. N. Y. Acad. Sci. 1184, 68–86. doi: 10.1111/j.1749-6632.2009.05116.x

Crossref Full Text | Google Scholar

Meléndez, G. C., Li, J., Law, B. A., Janicki, J. S., Supowit, S. C., and Levick, S. P. (2011). Substance P induces adverse myocardial remodelling via a mechanism involving cardiac mast cells. Cardiovasc. Res. 92, 420–429. doi: 10.1093/cvr/cvr244

PubMed Abstract | Crossref Full Text | Google Scholar

Menasché, P., Vanneaux, V., Hagège, A., Bel, A., Cholley, B., Parouchev, A., et al. (2018). Transplantation of human embryonic stem cell–derived cardiovascular progenitors for severe ischemic left ventricular dysfunction. J. Am. Coll. Cardiol. 71, 429–438. doi: 10.1016/j.jacc.2017.11.047

PubMed Abstract | Crossref Full Text | Google Scholar

Miller, S. L., Huppi, P. S., and Mallard, C. (2016). The consequences of fetal growth restriction on brain structure and neurodevelopmental outcome. J. Physiol. 594, 807–823. doi: 10.1113/JP271402

PubMed Abstract | Crossref Full Text | Google Scholar

Mishra, S., Reznikov, V., Maltsev, V. A., Undrovinas, N. A., Sabbah, H. N., and Undrovinas, A. (2015). Contribution of sodium channel neuronal isoform Na v 1.1 to late sodium current in ventricular myocytes from failing hearts. J. Physiol. 593, 1409–1427. doi: 10.1113/jphysiol.2014.278259

PubMed Abstract | Crossref Full Text | Google Scholar

Miura, Y., Li, M.-Y., Birey, F., Ikeda, K., Revah, O., Thete, M. V., et al. (2020). Generation of human striatal organoids and cortico-striatal assembloids from human pluripotent stem cells. Nat. Biotechnol. 38, 1421–1430. doi: 10.1038/s41587-020-00763-w

PubMed Abstract | Crossref Full Text | Google Scholar

Muguruma, K., Nishiyama, A., Kawakami, H., Hashimoto, K., and Sasai, Y. (2015). Self-Organization of Polarized Cerebellar Tissue in 3D culture of human pluripotent stem cells. Cell Rep. 10, 537–550. doi: 10.1016/j.celrep.2014.12.051

PubMed Abstract | Crossref Full Text | Google Scholar

Neubert, D. S. G., Seiffert, N., and Tovote, P. (2023). Cerebellar contribution to the regulation of defensive states. Front. Syst. Neurosci. 17:1160083. doi: 10.3389/fnsys.2023.1160083

PubMed Abstract | Crossref Full Text | Google Scholar

Oh, Y., Cho, G.-S., Li, Z., Hong, I., Zhu, R., Kim, M.-J., et al. (2016). Functional coupling with cardiac muscle promotes maturation of hPSC-derived sympathetic neurons. Cell Stem Cell 19, 95–106. doi: 10.1016/j.stem.2016.05.002

PubMed Abstract | Crossref Full Text | Google Scholar

Olmsted, Z. T., and Paluh, J. L. (2022). A combined human gastruloid model of cardiogenesis and neurogenesis. IScience 25:104486. doi: 10.1016/j.isci.2022.104486

PubMed Abstract | Crossref Full Text | Google Scholar

Pervolaraki, E., Anderson, R. A., Benson, A. P., Hayes-Gill, B., Holden, A. V., Moore, B. J. R., et al. (2013). Antenatal architecture and activity of the human heart. Interface Focus 3:20120065. doi: 10.1098/rsfs.2012.0065

PubMed Abstract | Crossref Full Text | Google Scholar

Pervolaraki, E., Dachtler, J., Anderson, R. A., and Holden, A. V. (2018). The developmental transcriptome of the human heart. Sci. Rep. 8:15362. doi: 10.1038/s41598-018-33837-6

PubMed Abstract | Crossref Full Text | Google Scholar

Picollet-D’hahan, N., Zuchowska, A., Lemeunier, I., and le Gac, S. (2021). Multiorgan-on-a-Chip: A systemic approach to model and decipher inter-organ communication. Trends Biotechnol. 39, 788–810. doi: 10.1016/j.tibtech.2020.11.014

PubMed Abstract | Crossref Full Text | Google Scholar

Ravi, M., Paramesh, V., Kaviya, S. R., Anuradha, E., and Solomon, F. D. P. (2015). 3D cell culture systems: advantages and applications. J. Cell. Physiol. 230, 16–26. doi: 10.1002/jcp.24683

PubMed Abstract | Crossref Full Text | Google Scholar

Reiner, O., Sapir, T., and Parichha, A. (2021). Using multi-organ culture systems to study Parkinson’s disease. Mol. Psychiatry 26, 725–735. doi: 10.1038/s41380-020-00936-8

PubMed Abstract | Crossref Full Text | Google Scholar

Rossi, G., Broguiere, N., Miyamoto, M., Boni, A., Guiet, R., Girgin, M., et al. (2021). Capturing Cardiogenesis in Gastruloids. Cell Stem Cell 28, 230–240.e6. doi: 10.1016/j.stem.2020.10.013

PubMed Abstract | Crossref Full Text | Google Scholar

Rossi, A., Mikail, N., Bengs, S., Haider, A., Treyer, V., Buechel, R. R., et al. (2022). Heart–brain interactions in cardiac and brain diseases: why sex matters. Eur. Heart J. 43, 3971–3980. doi: 10.1093/eurheartj/ehac061

PubMed Abstract | Crossref Full Text | Google Scholar

Schmidt, C., Deyett, A., Ilmer, T., Haendeler, S., Torres Caballero, A., Novatchkova, M., et al. (2023). Multi-chamber cardioids unravel human heart development and cardiac defects. Cell 186, 5587–5605.e27. doi: 10.1016/j.cell.2023.10.030

PubMed Abstract | Crossref Full Text | Google Scholar

Sha, L., Li, Y., Zhang, Y., Tang, Y., Li, B., Chen, Y., et al. (2023). Heart-brain axis: association of congenital heart abnormality and brain diseases. Front. Cardiovascular Med. 10:1071820. doi: 10.3389/fcvm.2023.1071820

PubMed Abstract | Crossref Full Text | Google Scholar

Sheng, J. A., Bales, N. J., Myers, S. A., Bautista, A. I., Roueinfar, M., Hale, T. M., et al. (2021). The hypothalamic-pituitary-adrenal Axis: development, programming actions of hormones, and maternal-fetal interactions. Front. Behav. Neurosci. 14:601939. doi: 10.3389/fnbeh.2020.601939

PubMed Abstract | Crossref Full Text | Google Scholar

Siddiqui, S., Wilpers, A., Myers, M., Nugent, J. D., Fifer, W. P., and Williams, I. A. (2015). Autonomic regulation in fetuses with congenital heart disease. Early Hum. Dev. 91, 195–198. doi: 10.1016/j.earlhumdev.2014.12.016

PubMed Abstract | Crossref Full Text | Google Scholar

Silva, A. C., Matthys, O. B., Joy, D. A., Kauss, M. A., Natarajan, V., Lai, M. H., et al. (2021). Co-emergence of cardiac and gut tissues promotes cardiomyocyte maturation within human iPSC-derived organoids. Cell Stem Cell 28, 2137–2152.e6. doi: 10.1016/j.stem.2021.11.007

PubMed Abstract | Crossref Full Text | Google Scholar

Silvani, A., Calandra-Buonaura, G., Dampney, R. A. L., and Cortelli, P. (2016). Brain–heart interactions: physiology and clinical implications. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 374:20150181. doi: 10.1098/rsta.2015.0181

PubMed Abstract | Crossref Full Text | Google Scholar

Simeone, A., Avantaggiato, V., Moroni, M. C., Mavilio, F., Arra, C., Cotelli, F., et al. (1995). Retinoic acid induces stage-specific antero-posterior transformation of rostral central nervous system. Mech. Dev. 51, 83–98. doi: 10.1016/0925-4773(95)96241-M

PubMed Abstract | Crossref Full Text | Google Scholar

Skardal, A., Aleman, J., Forsythe, S., Rajan, S., Murphy, S., Devarasetty, M., et al. (2020). Drug compound screening in single and integrated multi-organoid body-on-a-chip systems. Biofabrication 12:025017. doi: 10.1088/1758-5090/ab6d36

PubMed Abstract | Crossref Full Text | Google Scholar

Smits, L. M., Reinhardt, L., Reinhardt, P., Glatza, M., Monzel, A. S., Stanslowsky, N., et al. (2019). Modeling Parkinson’s disease in midbrain-like organoids. Npj Parkinson’s Disease 5:5. doi: 10.1038/s41531-019-0078-4

PubMed Abstract | Crossref Full Text | Google Scholar

Soares, C. P., Midlej, V., Oliveira, M. E. W. D., Benchimol, M., Costa, M. L., and Mermelstein, C. (2012). 2D and 3D-organized cardiac cells shows differences in cellular morphology, adhesion junctions, presence of myofibrils and protein expression. PLoS One 7:e38147. doi: 10.1371/journal.pone.0038147

PubMed Abstract | Crossref Full Text | Google Scholar

Stavrakis, S.University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA, Po, S., & University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA (2017). Ganglionated Plexi ablation: physiology and clinical applications. Arrhythmia Electrophysiol. Rev. 6, 186–190. doi: 10.15420/aer2017.26.1

PubMed Abstract | Crossref Full Text | Google Scholar

Tada, M., Onodera, O., Tada, M., Ozawa, T., Piao, Y.-S., Kakita, A., et al. (2007). Early development of autonomic dysfunction may predict poor prognosis in patients with multiple system atrophy. Arch. Neurol. 64, 256–260. doi: 10.1001/archneur.64.2.256

PubMed Abstract | Crossref Full Text | Google Scholar

Tahsili-Fahadan, P., and Geocadin, R. G. (2017). Heart–brain Axis: effects of neurologic injury on cardiovascular function. Circ. Res. 120, 559–572. doi: 10.1161/CIRCRESAHA.116.308446

Crossref Full Text | Google Scholar

Takayama, Y., Kushige, H., Akagi, Y., Suzuki, Y., Kumagai, Y., and Kida, Y. S. (2020). Selective induction of human autonomic neurons enables precise control of cardiomyocyte beating. Sci. Rep. 10:9464. doi: 10.1038/s41598-020-66303-3

PubMed Abstract | Crossref Full Text | Google Scholar

Tillo, M., Ruhrberg, C., and Mackenzie, F. (2012). Emerging roles for semaphorins and VEGFs in synaptogenesis and synaptic plasticity. Cell Adhes. Migr. 6, 541–546. doi: 10.4161/cam.22408

PubMed Abstract | Crossref Full Text | Google Scholar

Trapecar, M., Wogram, E., Svoboda, D., Communal, C., Omer, A., Lungjangwa, T., et al. (2021). Human physiomimetic model integrating microphysiological systems of the gut, liver, and brain for studies of neurodegenerative diseases. Sci. Adv. 7:eabd1707. doi: 10.1126/sciadv.abd1707

PubMed Abstract | Crossref Full Text | Google Scholar

Van Den Berge, N., and Ulusoy, A. (2022). Animal models of brain-first and body-first Parkinson’s disease. Neurobiol. Dis. 163:105599. doi: 10.1016/j.nbd.2021.105599

PubMed Abstract | Crossref Full Text | Google Scholar

Van Norman, G. A. (2019). Phase II trials in drug development and adaptive trial design. JACC: Basic to Translational Sci. 4, 428–437. doi: 10.1016/j.jacbts.2019.02.005

PubMed Abstract | Crossref Full Text | Google Scholar

Varga, Z. V., Ferdinandy, P., Liaudet, L., and Pacher, P. (2015). Drug-induced mitochondrial dysfunction and cardiotoxicity. Am. J. Phys. Heart Circ. Phys. 309, H1453–H1467. doi: 10.1152/ajpheart.00554.2015

PubMed Abstract | Crossref Full Text | Google Scholar

Voges, H. K., Mills, R. J., Elliott, D. A., Parton, R. G., Porrello, E. R., and Hudson, J. E. (2017). Development of a human cardiac organoid injury model reveals innate regenerative potential. Development 144, 1118–1127. doi: 10.1242/dev.143966

PubMed Abstract | Crossref Full Text | Google Scholar

Volmert, B., Kiselev, A., Juhong, A., Wang, F., Riggs, A., Kostina, A., et al. (2023). A patterned human primitive heart organoid model generated by pluripotent stem cell self-organization. Nat. Commun. 14:8245. doi: 10.1038/s41467-023-43999-1

PubMed Abstract | Crossref Full Text | Google Scholar

Will, J., Siedentopf, N., Schmid, O., Gruber, T., Henrich, W., Hertzberg, C., et al. (2023). Successful prenatal treatment of cardiac Rhabdomyoma in a fetus with tuberous sclerosis. Pediatric Reports 15, 245–253. doi: 10.3390/pediatric15010020

PubMed Abstract | Crossref Full Text | Google Scholar

Winbo, A., Ramanan, S., Eugster, E., Jovinge, S., Skinner, J. R., and Montgomery, J. M. (2020). Functional coculture of sympathetic neurons and cardiomyocytes derived from human-induced pluripotent stem cells. Am. J. Phys. Heart Circ. Phys. 319, H927–H937. doi: 10.1152/ajpheart.00546.2020

PubMed Abstract | Crossref Full Text | Google Scholar

Wood, S. K., and Valentino, R. J. (2017). The brain norepinephrine system, stress and cardiovascular vulnerability. Neurosci. Biobehav. Rev. 74, 393–400. doi: 10.1016/j.neubiorev.2016.04.018

PubMed Abstract | Crossref Full Text | Google Scholar

Xiang, Y., Tanaka, Y., Cakir, B., Patterson, B., Kim, K.-Y., Sun, P., et al. (2019). HESC-derived thalamic organoids form reciprocal projections when fused with cortical organoids. Cell Stem Cell 24, 487–497.e7. doi: 10.1016/j.stem.2018.12.015

PubMed Abstract | Crossref Full Text | Google Scholar

Xiang, Y., Tanaka, Y., Patterson, B., Kang, Y.-J., Govindaiah, G., Roselaar, N., et al. (2017). Fusion of regionally specified hPSC-derived organoids models human brain development and interneuron migration. Cell Stem Cell 21, 383–398.e7. doi: 10.1016/j.stem.2017.07.007

PubMed Abstract | Crossref Full Text | Google Scholar

Yang, D., Liu, H.-Q., Liu, F.-Y., Tang, N., Guo, Z., Ma, S.-Q., et al. (2020). The roles of noncardiomyocytes in cardiac remodeling. Int. J. Biol. Sci. 16, 2414–2429. doi: 10.7150/ijbs.47180

PubMed Abstract | Crossref Full Text | Google Scholar

Yu, W., McDonnell, K., Taketo, M. M., and Bai, C. B. (2008). Wnt signaling determines ventral spinal cord cell fates in a time-dependent manner. Development 135, 3687–3696. doi: 10.1242/dev.021899

PubMed Abstract | Crossref Full Text | Google Scholar

Zambón, D., Quintana, M., Mata, P., Alonso, R., Benavent, J., Cruz-Sánchez, F., et al. (2010). Higher incidence of mild cognitive impairment in familial hypercholesterolemia. Am. J. Med. 123, 267–274. doi: 10.1016/j.amjmed.2009.08.015

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, D., and Lindsey, S. E. (2023). Recasting current knowledge of human fetal circulation: the importance of computational models. J. Cardiovascular Develop. Dis. 10:240. doi: 10.3390/jcdd10060240

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: assembloid, organoid, heart, brain, autonomic nervous system, induced pluripotent stem cells, sympathetic, cardiomyocyte

Citation: Mabry SA and Pavon N (2024) Exploring the prospects, advancements, and challenges of in vitro modeling of the heart-brain axis. Front. Cell. Neurosci. 18:1386355. doi: 10.3389/fncel.2024.1386355

Received: 15 February 2024; Accepted: 12 April 2024;
Published: 03 May 2024.

Edited by:

Fabio Cavaliere, Achucarro Basque Center for Neuroscience, Spain

Reviewed by:

Alice Braga, University College London, United Kingdom

Copyright © 2024 Mabry and Pavon. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Senegal Alfred Mabry, Sam469@cornell.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.