Autopoiesis and organ intelligence: toward a cognitive paradigm in medicine
Department of Cardiothoracic and Vascular Surgery, Westpfalz Klinikum, Kaiserslautern, Germany
Second Department of Surgery, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
Department of Cardiothoracic Surgery, Faculty of Medicine, University of Thessaly, Biopolis, Larissa, Greece
Department of Cardiac Surgery, Ippokrateio General Hospital of Athens, Athens, Greece
Department of Oncology, General University Hospital of Patras, Greece
Department of Urology, General Hospital of Eastern Achaia-Unit of Aigio, Aigio, Greece
Department of Urology, General University Hospital of Alexandroupolis, Democritus University of Thrace, Alexandroupolis, Greece
Department of Urology, University of Patras, Greece.
Department of Vascular Surgery, General University Hospital of Patras, Greece
Department of Radiology, General University Hospital of Patras, Patras, Greece
Medical School, National and Kapodistrian University of Athens (NKUA), Aretaeion Hospital, Athens, Greece
First Department of Otolaryngology, Hippokration General Hospital, National and Kapodistrian University of Athens, Athens, Greece
First Department of Surgery, National and Kapodistrian University of Athens, Laikon General Hospital, Athens, Greece
Laboratory of Bioethics, School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
Introduction
Modern medicine has been shaped by an enduring neurocentric paradigm, in which cognition and intelligence are typically located strictly in the brain, while the rest of the body is treated as merely a mechanical substrate, passive to the initiative of neural command [1]. In clinical reasoning, the patient’s organs are often conceptualised as mute instruments of physiology, devoid of agency, awaiting intervention. This view is epistemically convenient as it has proven effective in structuring diagnostics and therapies [2]. However, it must be recognised that it is also reductive because it flattens the complexity of living systems into an oversimplified hierarchy with the brain at the apex and all other systems subordinate.
Over the past several decades, a set of alternative biological frameworks has gained momentum, challenging this narrow view. Beginning with the theories of Humberto Maturana and Francisco Varela, introducing the concept of autopoiesis, the idea that living systems are not merely biochemical assemblies but self-producing organisations whose very operation constitutes a form of cognition began to take dimensions. What this account implies is that to live is already to know in a polycentric modality. Specifically, every cell, tissue, and organ participates in a continuous loop of self-maintenance and self-reference, through which information is processed not only in the brain but across the organism as a whole [3–6].
It is hard to ignore that this perspective can potentially have profound implications for medicine. If the human body is understood as a constellation of autopoietic units, then organs are not inert tissues but cognitive nodes: subsystems engaged in sensing, interpreting, and responding. The heart, for example, is endowed with its own intrinsic nervous system, often referred to as the “little brain of the heart”, capable of complex regulatory feedback and modulation of emotional states [7–9]. The gastrointestinal tract communicates bidirectionally with the central nervous system, shaping affect and decision-making through the gut–brain axis [10, 11]. The immune system, once cast merely as defence, is increasingly understood as a cognitive network capable of learning, memory, and anticipatory adaptation [4, 12].
The implications of this vision of the procedural reality are twofold. On one side, these findings demand a revision of the medical epistemology that still privileges the brain as the singular locus of cognition. On the other, they invite new clinical paradigms: to treat organs as intelligent participants in health, disease, and healing. Such an approach could reshape not only diagnostics and therapies but also the ethical framework of clinical practice, situating medicine within a model that respects the distributed intelligence of the living body.
The central argument of this paper is that medicine must incorporate cognitive biology into its conceptual core, recognising autopoiesis and organ-level intelligence as indispensable for the next stage of clinical thought [13]. This is not a purely theoretical move. Already, the language of allostasis and predictive regulation in physiology points toward the anticipatory, knowledge-like qualities of biological systems [14–16]. Similarly, developments in systems biology, network neuroscience, and psychoneuroimmunology provide empirical grounding for a vision of the body as a distributed cognitive field rather than a machine commanded by a central processor [17].
In what follows, we will trace the intellectual genealogy of cognitive biology from its origins in Maturana and Varela, explore its integration into current biomedical research, and argue for its significance in re-shaping clinical practice. By re-conceptualising organs as loci of cognition and autopoiesis as nothing less than the foundation of life, we may begin to articulate a truly holistic medical epistemology – one that bridges biology, noetics, and practice, and one that situates healing not simply in intervention but in dialogue with the living intelligence of the body itself.
Material and methods
This article is a conceptual and narrative review rather than an empirical clinical study. The methodology follows a structured approach designed to integrate theoretical, philosophical, and biomedical perspectives into a coherent framework of “cognitive biology and medicine”.
Conceptual framework development
The central concepts of autopoiesis, organ-level cognition, and distributed intelligence were drawn from foundational works in systems theory, cognitive biology, and phenomenology. These theoretical foundations were identified through a targeted literature review and served as the primary lens for the interpretation of biomedical findings.
Literature identification and selection
Relevant publications were identified through structured searches in the PubMed, Scopus, and Google Scholar databases using key terms such as autopoiesis, cognitive biology, organ intelligence, neurocardiology, gut–brain axis, psychoneuroimmunology, and systems medicine. Preference was given to seminal theoretical contributions, widely cited reviews, and empirical biomedical studies that explicitly or implicitly support the notion of distributed cognition. Sources included both classical works and contemporary evidence from cardiology, gastroenterology, immunology, oncology, and systems physiology. Additional references were obtained by manually screening bibliographies of key articles.
Integration strategy
The selected literature was analysed thematically. Concepts from biology, medicine, and philosophy were systematically compared, with emphasis on points of convergence. Clinical examples (e.g. cardiac coherence, gut–brain axis disorders, autoimmune diseases) were chosen as illustrative case studies to demonstrate how theoretical constructs translate into medical practice. This integration was guided by the principle of conceptual triangulation – cross-referencing insights from distinct disciplinary domains to establish a consistent and clinically relevant narrative.
Inclusion and exclusion criteria
Publications were considered eligible for inclusion if they met one or more of the following criteria:
- Conceptual relevance: Works that explicitly addressed autopoiesis, cognitive biology, organ intelligence, distributed cognition, or related systems-theoretical and philosophical frameworks.
- Biomedical evidence: Empirical studies and reviews in cardiology, gastroenterology, immunology, neuroscience, oncology, and systems medicine that provided evidence for organ-level cognition, inter-organ communication, or resilience-based models of health.
- Integrative scope: Articles linking theoretical biology and philosophy of science with clinical medicine, ethics, or medical education.
- Authoritativeness: Seminal works, frequently cited reviews, and contributions published in peer-reviewed journals or authoritative books.
- Exclusion criteria were as follows:
- Publications lacking clear relevance to cognition, autopoiesis, or organ-level intelligence.
- Works addressing organ physiology in a purely mechanistic framework without engaging in cognitive or systemic interpretation.
- Non-peer-reviewed material (e.g. opinion pieces, blogs, non-scientific essays) unless considered historically significant for conceptual development.
- Reports or studies with insufficient methodological transparency or unclear scientific validity.
Scope and limitations
This methodology was interpretive and synthetic, aiming to construct a transdisciplinary framework rather than perform a systematic meta-analysis. While comprehensive, the review does not claim to exhaust all literature in the field but focuses on representative works that exemplify the potential of cognitive biology to reshape clinical thinking.
Theoretical foundations: autopoiesis and cognition
At the heart of cognitive biology lies the notion of autopoiesis – a term coined by Maturana and Varela in the 1970s to describe the self-producing character of living systems. Unlike machines, which require external instructions and interventions to operate, living organisms are defined by their ability to continuously generate and regenerate their own components, preserving their structural identity across time. To live, then, is not merely to exist as matter organised by external laws, but to engage in an ongoing, recursive act of self-constitution [3, 18]. In this framework, cognition is not reducible to abstract thought and semantic processing taking place exclusively in the brain. Instead, cognition is the operational expression of autopoiesis right from the beginning. In other words, every act of living – whether cellular or organismic – is an act of knowing: the bacterium swimming toward nutrients, the immune system differentiating between self and non-self, the cardiac system adjusting rhythm to metabolic demand – all are instances of cognition understood as adaptive sense-making. The epistemological revolution proposed here is radical enough to impose a decisive hiatus in the modality of scientific thinking: biological process and cogitation are not separate categories but two sides of the same coin [19–21].
Maturana and Varela’s insight did not emerge out of the blue as some romantic inception. It was instead an outcome emerging naturally at the crossroads of systems theory, cybernetics, and phenomenology. Ludwig von Bertalanffy’s General Systems Theory, developed in 1968, had already emphasised the organism as an integrated whole governed by principles irreducible to mechanistic reduction [22, 23]. Norbert Wiener’s cybernetics brought attention to feedback, regulation, and control within living and artificial systems [24, 25]. Hence, it was only expected that pioneering thinkers, such as Maturana and Varela, would eventually advance beyond these traditions by grounding their theory in biological autonomy: the claim that organisms exist not merely in an environment but through a continuous process of cognitively interweaving their own domain of interactions.
This shift has profound philosophical resonance. It destabilises the Cartesian dualism that segregated res cogitans (the thinking substance) from res extensa (the extended substance) [26]. In the autopoietic view, mind (mentation) is immanent to life, not superimposed upon it. Moreover, the concept prefigures and supports later developments in embodied cognition, enactivism, and neurophenomenology, which insist that knowing arises from the dynamic coupling of organism and environment [4, 27].
For medicine, the relevance is so obvious that it cannot be dismissed. If organs and systems are not passive executors but autonomous, sense-making, and decision-making units, then pathology itself must be reconceptualised. Disease does not appear as a mechanical breakdown but as a disturbance in the self-organising capacity of the system. Healing, in this sense, is not merely the restoration of structure but the reinstatement of operational coherence – the re-alignment of the living system’s autopoietic loop. This resonates strongly with contemporary notions of allostasis, where health is defined not by static balance but by the capacity to flexibly regulate across changing demands [15].
Critics have sometimes dismissed autopoiesis as too abstract or philosophical for clinical use [28]. However, growing evidence across immunology, cardiology, and neuroscience confirms that biological systems learn, anticipate, and decide at levels previously unacknowledged. The immune system “remembers” pathogens and adapts across encounters [29]. The heart demonstrates intrinsic neural computations, mediated by its own intracardiac nervous system [7, 30]. The gut microbiome exerts bidirectional influence on mood and cognition, modulating neurotransmission and stress responses [31, 32]. To interpret these as mere “mechanisms” is to miss the deeper reality: biology thinks, but not always in ways recognisable to the cortex.
In sum, autopoiesis is not only a biological principle but a conceptual lever. It redefines cognition as life’s mode of being and reframes medicine as a discipline tasked with dialoguing with distributed intelligences – an epistemology that honours both the complexity of the living body and the responsibility of those who intervene in it.
Organs as cognitive units: heart, gut, immune system
If cognition is the full-fledged operational expression of life, then its epistemological confinement to the brain must be a misconstrual. The body is itself a distributed cognitive architecture, where multiple organs generate, process, and integrate information essential for survival [3, 4]. Recent biomedical research lends striking support to this proposition, transforming once-metaphorical claims about the “thinking heart” or the “gut feeling” into empirically grounded insights.
The heart as a cognitive node
The heart has traditionally been framed as a mechanical pump. Yet, over the last three decades, accumulating evidence has demonstrated that the heart possesses its own intrinsic nervous system – a “little brain” composed of approximately 40,000 neurons capable of processing afferent and efferent signals [7–9]. This neural network is not a passive relay but an active processor that can learn, adapt, and regulate local cardiac function even before transmitting information to the central nervous system.
Experimental physiology has shown that the intracardiac nervous system (ICNS) exhibits remarkable autonomy in modulating cardiac rhythm and contractility. For example, Brack [33] demonstrated in the rabbit that the “little brain” of the heart directly orchestrates local reflexes influencing sinoatrial node activity, atrioventricular conduction, and myocardial excitability. Similarly, Vadigepalli and Schwaber [34], using systems biology approaches, mapped the functional architecture of the cardiac neural plexus, revealing its complex spatial organisation and highlighting how distributed local circuits collectively regulate cardiac performance. These findings have led to the conceptualisation of the ICNS not as a simple relay station but as a sophisticated integrative network with properties akin to other peripheral neural systems.
Beyond its structural and functional autonomy, the cardiac nervous system also interacts dynamically with systemic physiology. Herring and Paterson [9] emphasised that the heart’s neural plexus is a crucial mediator of neurocardiac communication, influencing both arrhythmogenesis and adaptive responses to stress. Perturbations in this neural-cardiac dialogue may explain why emotional stress precipitates arrhythmias in susceptible individuals, underscoring the cognitive–affective dimensions of cardiac physiology. Moreover, pharmacological studies suggest that modulation of the ICNS could represent a therapeutic target: Baka and Simko [35] hypothesised that ivabradine, a selective If-channel inhibitor, may exert part of its benefit by acting on the “little brain” of the heart, thereby modulating autonomic balance and arrhythmic risk.
In addition to its neural substrate, the heart generates powerful electromagnetic fields measurable several feet from the body, suggesting that cardiac activity contributes to the organism’s global integrative state [36]. Clinical research has further shown that heart rate variability (HRV) – a marker of neurovisceral integration – correlates with emotional regulation, stress resilience, and cognitive performance [37, 38]. These findings reinforce the notion that the heart is not merely reactive but actively shapes systemic coherence and cognitive-affective states.
Taken together, the ICNS represents a paradigmatic example of organ-level cognition. It embodies localised learning, adaptive control, and systemic integration, thereby qualifying the heart not only as a biomechanical pump but as a cognitive node within the distributed intelligence of the body. Recognising the heart’s neural autonomy opens new avenues for both conceptualising cardiovascular disease and developing therapies that target the neurocardiac axis as a site of cognitive dysfunction.
The gut as a “second brain”
Equally compelling is the case of the enteric nervous system (ENS), often referred to as the second brain. Containing over 100 million neurons – more than the spinal cord – the ENS demonstrates a remarkable degree of autonomy. It is capable of coordinating digestion, motility, secretion, and local reflexes independently of central input [39, 40]. This degree of neural independence underscores the gut’s role not merely as an executor of central commands, but as a self-regulating cognitive node within the body’s distributed intelligence.
Beyond intrinsic neuronal control, the ENS communicates dynamically with the central nervous system (CNS) via the vagus nerve, sympathetic pathways, immune signalling, and microbial metabolites, constituting the so-called gut–brain axis. Mounting evidence shows that gut microbiota profoundly influence mood, cognition, and behaviour through multiple mechanisms, including regulation of neurotransmitter synthesis (serotonin, GABA), modulation of the hypothalamic–pituitary–adrenal (HPA) axis, and shaping of systemic immune tone [31, 32, 41]. For instance, short-chain fatty acids produced by bacterial fermentation affect blood–brain barrier permeability and neuroinflammation, while vagal afferents carry interoceptive signals from the gut to limbic and cortical structures implicated in decision-making and emotion [42].
Clinical and experimental research increasingly supports the notion that the ENS participates actively in cognitive-affective processes. Dysbiosis of the gut microbiome has been associated with neuropsychiatric disorders, including depression, anxiety, autism spectrum disorder, and even neurodegenerative diseases such as Parkinson’s and Alzheimer’s [43–45]. Faecal microbiota transplantation (FMT) and probiotic supplementation have demonstrated potential in modulating mood and cognition, offering therapeutic avenues that target gut–brain communication [46, 47]. Such findings highlight that cognition in this context is not metaphorical but visceral, embodied in the symbiotic entanglement of human cells and microbial partners.
Taken together, the ENS and gut microbiome exemplify distributed cognition in action. They illustrate how the gut is not merely a digestive organ but a neurocognitive hub, where neural, immune, and microbial networks converge to shape systemic coherence and human experience.
The immune system as a cognitive ecology
The immune system provides another striking example of organ-level cognition. Its core function – discriminating self from non-self – is not mechanical but interpretive, involving processes akin to recognition, learning, memory, and anticipation. Far from being a simple defence mechanism, the immune system is an adaptive network continuously negotiating the meaning of signals arising from both within and outside the organism. As Burnet’s clonal selection theory first articulated, immunological “learning” occurs through the expansion of antigen-specific clones and the generation of memory cells, enabling rapid and more effective responses to subsequent encounters with pathogens [48, 49].
Recent advances highlight that immune recognition is far more nuanced than a binary “self versus non-self” distinction. The concept of the danger model, introduced by Matzinger (1994), reframed immunity as a system primarily concerned with detecting signals of danger or tissue distress rather than merely identifying foreignness [50]. This interpretive capacity places immunity within the realm of cognition, as it entails contextual assessment and decision-making processes that shape the organism’s survival strategy.
Moreover, immune activity exerts profound effects on neural and psychological states. Cytokines, chemokines, and other immune mediators influence neurotransmission, neuroendocrine activity, and synaptic plasticity, thereby linking immune activation to mood disorders, cognitive impairment, and social behaviour [51, 52]. Neuroinflammation has been implicated in depression, schizophrenia, Alzheimer’s disease, and other psychiatric and neurodegenerative conditions, illustrating that immune cognition and brain function are deeply entangled [53, 54]. Conversely, psychosocial stress and perception of threat can reshape immune architecture, impairing wound healing, vaccination responses, and infection control [29].
At the systems level, the immune system can be understood as a cognitive ecology – a decentralised, dynamic network that constantly interprets and reinterprets molecular signals. Its distributed nature resembles a semantic web, in which meaning is continuously generated through cellular communication, antigen presentation, and feedback loops. Autoimmune diseases represent breakdowns in this interpretive logic: conditions such as systemic lupus erythematosus or multiple sclerosis exemplify semantic collapse, where the system fails to distinguish self from non-self, with devastating clinical consequences [55]. On the other hand, vaccination exemplifies the system’s capacity for constructive memory, training immunity to anticipate future threats through learned recognition [49].
In this light, immunity is not merely protective but constitutive of organismic identity, contributing to resilience, adaptability, and coherence across the lifespan. To regard it as purely defensive is misleading; it is, rather, a cognitive ecology, continuously engaged in sense-making processes that mediate the organism’s ongoing relation to its environment.
Toward a multi-organ epistemology
What emerges from these exemplary cases is not a poetic flourish but a rigorous, evidence-based multi-organ epistemology. The heart, gut, and immune system exemplify that cognition is not a second-order procedural overlay of the brain upon the body; it is, rather, widely distributed, recursive, and fully embodied. Each system enacts its own autopoietic logic, generating patterns that shape and are shaped by other organs, constituting a living dialogue across tissues and systems [3, 56].
This distributed epistemology resonates with insights from systems biology and network medicine, which conceptualise disease not as isolated lesions but as disturbances in complex networks of interaction [57, 58]. Just as the collapse of coherence in one node can destabilise an entire network, the breakdown of inter-organ communication can produce systemic dysfunctions manifesting as clinical disease. For example, disturbances in the gut–brain–immune axis have been linked to inflammatory bowel disease, depression, and neurodegenerative disorders, conditions best understood as failures of distributed sense-making rather than singular organ pathology [32, 47].
Philosophical frameworks of embodied cognition also support this view, emphasising that cognition is not confined to neural circuits but arises from the dynamic interplay of body, environment, and experience [59, 60]. Within medicine, this suggests that the patient is not a passive substrate for interventions but an agentic whole, whose organs actively interpret and respond to perturbations. Such a pluralistic model urges clinicians to recognise disease as a disruption of relational coherence – where meaning-making processes across heart, gut, immune, and other organ systems fail to integrate into a resilient whole.
The challenge for medicine, then, is to move beyond neurocentrism and toward a vision of the body as a plural subject of cognition. Disease, in this frame, may arise not from isolated dysfunctions but from the breakdown of inter-organ communication, a failure of distributed sense-making across the living system. By adopting this perspective, clinical medicine can evolve into a practice that seeks not merely to repair broken parts, but to restore the integrative dialogue of the organism as a meaning-generating whole.
Clinical implications: pathology as a breakdown of sense-making
If organs are indeed cognitive units, pathology must be reinterpreted not merely as malfunction but as a breakdown in distributed sense-making. Illness is not only the failure of a structure but the interruption of relational communication between systems that enact the body’s ongoing autopoiesis. This perspective aligns with insights from network medicine, which conceptualises disease as the disruption of complex inter-organ and molecular interactions rather than isolated organ dysfunction [57, 58]. Similarly, the theory of biological relativity emphasises that no single level of organisation has causal primacy; pathology emerges when coherence across levels and systems is lost [56].
To this extent, clinical practice cannot limit itself to mechanical repair; it must diagnose and restore the coordination of meaning across organs. This implies that future therapeutic strategies should address not only structural lesions but also the restoration of systemic communication, coherence, and resilience as determinants of health.
Cardiac pathologies as cognitive disruptions
Consider heart disease. Conventionally, myocardial infarction is described in terms of ischaemia, cellular necrosis, and mechanical compromise. Yet, through a cognitive-biological lens, it represents more than a structural event: it is an abrupt failure of the heart’s ability to synchronise its signals with the brain and autonomic networks. This breakdown of communication destabilises the organism’s integrative capacity to regulate stress, emotion, and systemic coherence.
A central marker of this disruption is heart rate variability (HRV), widely regarded as an index of neurovisceral integration. Reduced HRV has been consistently associated not only with adverse cardiovascular outcomes but also with anxiety, depression, and cognitive decline [38, 59–61]. Following myocardial infarction or in chronic heart failure, diminished HRV reflects a collapse of the dynamic interplay between sympathetic and parasympathetic inputs, reducing the system’s flexibility to adapt to perturbations [62, 63]. Thus, the pathology is not simply myocardial damage but the loss of relational coordination within neurocardiac circuits.
Arrhythmias provide another example of cognition disrupted at the cardiac level. Stress-induced atrial and ventricular arrhythmias often emerge when autonomic input overwhelms or desynchronises local cardiac networks [64]. The “little brain” of the heart – the intrinsic cardiac nervous system – may itself become maladaptive under pathological conditions, generating aberrant signalling loops that feed back into central autonomic centres [9, 33]. These maladaptive patterns can be viewed as a kind of cognitive error, where the interpretive logic of the cardiac nervous system fails to sustain coherence with the wider organism.
Psychocardiology further illustrates the cognitive dimension of heart disease. Depression and post-traumatic stress disorder (PTSD) are not only risk factors for the development and progression of coronary artery disease but also amplify morbidity and mortality after myocardial infarction [65]. Mechanistically, this link is mediated by chronic autonomic imbalance, systemic inflammation, and dysregulated vagal signalling – all pathways of inter-organ communication that are impaired when cardiac cognition falters.
In summary, cardiac pathologies exemplify how disease can be reframed as cognitive disruption. Beyond ischaemia and mechanical dysfunction, they reflect failures in the interpretive networks of the neurocardiac axis. From this perspective, restoring cardiac health entails not only repairing tissue but also reestablishing the dynamic dialogue between the heart, brain, and autonomic system—a dialogue essential for emotional regulation, adaptive resilience, and systemic coherence.
Gastrointestinal disorders as disrupted dialogue
The gut, similarly, provides abundant evidence of pathology as disrupted sense-making. Irritable bowel syndrome (IBS), long regarded as a “functional” disorder rather than a structural pathology, is now increasingly recognised as a disorder of bidirectional communication between the gut and the brain [32, 41]. The pathophysiology of IBS involves alterations in gut microbiota composition, heightened visceral sensitivity, immune activation, and impaired vagal signalling. These disruptions collectively distort the interpretive dialogue between the enteric nervous system, microbial metabolites, and central neural circuits.
Dysbiosis in gut microbiota alters serotonin pathways, short-chain fatty acid production, and immune responses, leading not only to abdominal discomfort but also to heightened anxiety, mood disturbances, and cognitive symptoms [42, 47]. Such findings reinforce that IBS and related conditions cannot be adequately understood within a reductionist, organ-centred framework. Instead, they illustrate pathology as the fragmentation of dialogue between microbial, enteric, and cortical processes.
In this sense, the “second brain” fails not merely in its digestive functions but in its capacity to integrate visceral signals with cognitive and affective domains. Restoring health thus requires interventions – dietary, microbiome-targeted, neuromodulatory – that reestablish coherence across the gut–brain–immune axis.
Immune dysregulation as meaning collapse
Autoimmune disease provides perhaps the most explicit case of pathology as a collapse in meaning. In conditions such as multiple sclerosis, rheumatoid arthritis, or systemic lupus erythematosus, the immune system misidentifies self-tissues as threats, launching destructive responses against the very organism it is meant to preserve. Such pathology can be described as a semantic error – a breakdown in the interpretive logic of immunity [66]. Immunity’s primary cognitive task is recognition, balancing tolerance with defence. Autoimmunity, therefore, manifests as failed recognition: an epistemic collapse at the heart of the self–non-self distinction [50].
This breakdown is not confined to the immune domain alone but reverberates through neural, endocrine, and affective systems. Autoimmune conditions are frequently accompanied by neuropsychiatric and cognitive symptoms, including fatigue, depression, and impaired memory or attention, reflecting the spillover of disrupted immune sense-making into brain function [52, 53]. For example, inflammatory cytokines such as IL-6 and TNF-a can alter neurotransmission and neuroplasticity, linking immune dysregulation to mood disorders and neurodegeneration [51, 54].
From this perspective, autoimmune disease exemplifies not merely the failure of an organ but the collapse of a cognitive ecology, where the interpretive dialogue of the immune system loses coherence with the rest of the organism. Restoring health, therefore, entails not only immunosuppression but also strategies aimed at retraining or rebalancing immune recognition, supporting the reintegration of systemic meaning-making processes.
Toward clinical epistemology
The practical implication is that medicine must embrace a clinical epistemology: the recognition that treating disease involves restoring the capacity for inter-organ meaning. Instead of conceiving pathology as a mechanical fault, clinicians might regard it as a form of cognitive dissonance distributed across the body. Such an approach reframes therapy as the reestablishment of systemic coherence, not only the repair of local damage. Emerging integrative fields already point in this direction. Psychocardiology has shown how emotional states and autonomic imbalance shape cardiovascular outcomes, demonstrating that cardiac health cannot be separated from affective regulation [67]. Nutritional psychiatry illustrates how diet and microbiome-targeted interventions modulate both mood and cognition, reinforcing the gut as a site of therapeutic meaning-making [47, 68]. Likewise, neuroimmunomodulation – exemplified by vagus nerve stimulation – shows that neural regulation of immune activity can ameliorate inflammation and improve systemic resilience [69, 70].
Together, these approaches implicitly acknowledge that healing is not solely structural but requires realignment of the cognitive dialogue among organs. A clinical epistemology grounded in distributed sense-making thus expands the physician’s task: not only to treat pathology but to restore the organism’s ability to generate coherence and meaning across its networks of life.
A paradigm of communication
Ultimately, this perspective reframes disease as an interruption in semantic continuity within the organism. To heal, therefore, is to re-establish coherence: to repair the body’s disrupted conversation with itself. This is no metaphorical flourish – it is the literal recognition that physiology is enacted through information exchange, and pathology arises when signals are misrouted, silenced, or misinterpreted. In this light, health may be understood as the successful coordination of messages across multiple domains – neural, immune, endocrine, and microbial – each contributing to the organism’s integrative sense-making [57, 71]. Disease emerges not only from structural breakdown but from failures of communication, such as the immune system’s misrecognition of self, the gut microbiota’s maladaptive signalling, or the heart’s loss of neurovisceral synchrony.
This paradigm of communication also aligns with the principles of network medicine, which views illness as the disruption of complex interactions within biological networks rather than as isolated organ failure [58]. By restoring these disrupted dialogues – whether through pharmacological agents, bioelectronic medicine, or lifestyle-based interventions – clinical practice can be reoriented toward coherence rather than reductionism. Healing, in this sense, becomes the art of reestablishing the body’s capacity for dialogue, enabling the living system to once again sustain its autopoietic continuity.
Philosophical integration: autopoiesis, meaning, and subjectivity
To speak of organs as “cognitive” is not to indulge in metaphor but to take seriously the biological framework articulated by Maturana and Varela. Their concept of autopoiesis – the capacity of living systems to continually generate and regenerate their own components – directly informs medical science when reinterpreted as the ground of health and disease. Clinical medicine, though often distant from such terminology, already operates with the tacit recognition that health is not a static structure but a dynamic process of self-maintenance, enacted through complex recursive loops of regulation and adaptation [56, 72, 73].
If one reflects carefully on these dynamics, it becomes evident that cogitation is immanent to biological life itself. Cognition here does not signify abstract reasoning alone but the organism’s ongoing capacity to interpret signals, anticipate perturbations, and sustain coherence in the face of change. In this sense, biology and subjectivity converge: the living body is not a mute mechanism but a meaning-generating system, in which physiology and interpretation are inseparable. Recognising this philosophical foundation invites medicine to consider subjectivity not as an external “psychological layer” but as a constitutive dimension of the living process.
Autopoiesis and homeostasis
Autopoiesis converges with the well-established clinical notion of homeostasis. While homeostasis describes the stabilisation of physiological parameters (such as temperature, pH, or blood glucose), autopoiesis emphasises the deeper systemic process of self-production that underlies such regulation. In this sense, homeostasis may be viewed as one expression of the organism’s autopoietic continuity, sustaining its coherence through adaptive responses to internal and external perturbations [15, 74].
This alignment becomes particularly visible in the context of critical care medicine. In intensive care units, therapeutic interventions – mechanical ventilation, extracorporeal circulation, or dialysis – function not merely as mechanical replacements but as temporary scaffolds of autopoiesis. They sustain essential processes long enough for the organism to re-establish its own self-organising capacity. Seely and Christou [75] argue that critical illness can be conceptualised as a “loss of complexity”, where systemic interactions are degraded; medical technologies, in this light, buy time for the organism to recover its autopoietic integrity.
Thus, medical technology is best understood not as a mere mechanical substitute but as an external support that preserves the conditions under which the living system may regenerate its capacity for self-production. This perspective reframes intensive care as a dialogue with the body’s inherent autopoiesis – an effort to hold open the possibility of recovery until systemic self-organisation can resume.
Subjectivity as a clinical variable
If autopoiesis includes the organism’s continuous production of meaning, then subjectivity itself becomes a clinical variable. This is not to mystify the patient, but to recognise empirically that perception, expectation, and psychosocial context can alter physiological trajectories in measurable ways. Clinical outcomes are shaped not only by pharmacology or surgery but by the interpretive frameworks through which patients experience illness and treatment.
The placebo effect demonstrates this robustly. Expectancy and belief activate cortical and subcortical networks that modulate neurotransmitter systems, including endogenous opioids and dopamine, thereby altering pain thresholds, autonomic tone, and even immune responses [76, 77]. Conversely, the nocebo effect illustrates the physiological costs of negative expectation, producing measurable changes in pain perception, stress hormone levels, and cardiovascular responses [78].
Such evidence underscores that meaning – whether in the form of belief, expectation, or cultural framing – enters directly into the causal chain of recovery. To ignore this is not scientific neutrality but conceptual reductionism. A rigorous clinical epistemology must therefore treat subjectivity not as anecdotal but as an intrinsic factor in therapeutic outcomes, acknowledging that healing is always co-constituted by biological processes and the interpretive horizons within which they unfold.
From molecular to semiotic breakdown
In pathology, failure occurs simultaneously at multiple levels: molecular signalling, tissue integrity, and organ coordination. However, through the lens of cognitive biology, such failure is also semiotic: a collapse in the organism’s interpretive capacity. Health is sustained not only by biochemical transactions but by the maintenance of meaningful communication across levels of biological organisation.
Cancer, for example, can be conceptualised not only as uncontrolled cell proliferation but also as a breakdown of cellular communication and context-dependence. As Sonnenschein and Soto [79] argue in their tissue organisation field theory, carcinogenesis emerges when cells lose their relational integration within tissue architecture, representing a disruption of the semiotic dialogue that normally constrains growth. Similarly, neurodegenerative disorders such as Alzheimer’s or Parkinson’s disease may be reframed as progressive erosions of semantic capacity at the neuronal level – cells failing not only structurally but also in their informational dialogue with neighbours [80, 81].
This perspective does not negate molecular mechanisms but rather complements them with explanatory depth. It allows us to view disease as a multilevel collapse of meaning, in which molecules, cells, tissues, and organs lose the coherence of their communication networks. Such a framing may enrich clinical research by supporting systemic therapeutic strategies – whether targeting intercellular signalling, restoring network activity, or modulating organ-to-organ dialogue – that aim not only at correcting dysfunction but also at re-establishing communication as the basis of healing.
Implications for clinical research
Such perspectives carry tangible consequences for the future of biomedicine. Research in biosemiotics – the study of meaning-making in living systems – has demonstrated that cellular signalling operates less like a simple chain of mechanical triggers and more like an interpretive process, in which context and history shape the outcome of molecular interactions [82, 83]. This implies that pathology arises not only from defective molecules but also from breakdowns in the interpretive networks that give molecular events their biological meaning.
By integrating these insights, medicine could better design interventions that target communication networks rather than isolated molecules. This approach is increasingly evident in emerging disciplines. Network pharmacology seeks to develop drugs that modulate entire interaction webs rather than single targets [84]. Systems immunology uses computational modelling to capture the dynamic interplay of immune cells and cytokine networks, reframing disease as miscommunication within immune ecologies [85]. Similarly, psychoneuroimmunology explores how psychological states influence immunity through neural and endocrine pathways, showing that meaning and expectation directly alter immunological outcomes [86, 87].
Taken together, these fields reflect a decisive shift: from reductionism to relational causality, from isolated mechanisms to emergent networks of meaning. Clinical research that embraces this paradigm may open pathways to more integrative therapies – ones that restore coherence across molecular, cellular, and organ-level dialogues, thereby addressing not just dysfunction but also the collapse of biological sense-making itself.
Guarding against overreach
However, caution is necessary. To import concepts such as autopoiesis into medicine requires avoiding vagueness and ensuring conceptual precision. The risk lies in overextending philosophical language without clinical traction, thereby reducing profound ideas to rhetorical flourish. For cognitive biology to be meaningful in practice, it must engage with empirical science and generate hypotheses that are both testable and therapeutically actionable.
The standard remains clear: theories must translate into measurable indices and clinical interventions. For example, heart rate variability (HRV) serves as a valuable biomarker of systemic coherence not because it resonates with metaphors of harmony, but because it robustly predicts morbidity and mortality across both cardiac and psychiatric disorders [38, 61]. Similarly, constructs like the gut–brain axis or psychoneuroimmunology gain traction not from their philosophical appeal but from their demonstrable capacity to explain mechanisms and guide therapies [31, 51].
In this sense, philosophy does not float above clinical practice but grounds itself in hard physiological indices. Its role is to expand the conceptual horizons within which medicine operates – without losing sight of the demand for evidence, reproducibility, and therapeutic relevance. Only then can cognitive biology and autopoiesis provide a rigorous epistemological foundation for the future of clinical medicine.
Clinical case studies and emerging evidence
If cognitive biology is to be more than a speculative framework, it must find expression in clinical practice and patient outcomes. Fortunately, a growing body of case studies and empirical research illustrates how autopoietic and systemic perspectives can sharpen both diagnostics and therapeutics.
Psychoneuroimmunology in critical care
One of the clearest demonstrations of distributed sense-making in clinical settings comes from psychoneuroimmunology (PNI), which investigates how stress perception alters immune function. Patients in intensive care units (ICUs), subjected to sustained physiological and psychological stress, often exhibit altered cytokine profiles, impaired wound healing, and increased susceptibility to infection [29]. These outcomes are not reducible to mechanical failure alone; rather, they reflect how the organism’s interpretive framework of threat and safety reshapes its immune architecture in real time.
Clinical evidence further suggests that interventions aimed at modifying meaning and perception can directly influence physiological outcomes. Mindfulness-based therapies, including meditation and other mind–body practices, have been shown to reduce pro-inflammatory biomarkers in patients with inflammatory conditions [88, 89]. Moreover, meta-analyses of non-pharmacological interventions – such as relaxation, education, and psychotherapy – have demonstrated reductions in postoperative pain and improvements in recovery metrics, emphasising that therapeutic narratives and support structures can modulate physiological resilience [90].
These findings highlight that meaning – whether embodied in coping strategies, emotional framing, or patient–clinician dialogue – acts as a therapeutic co-factor. In critical care, where mechanical supports sustain life temporarily, PNI underscores that recovery depends not only on organ support but on restoring interpretive coherence. Stress perception, narrative framing, and social context become inseparable from immune resilience, illustrating how meaning itself participates in the healing process.
Cardiac surgery and systemic coherence
Cardiac interventions provide another instructive case for understanding pathology and recovery through the lens of systemic coherence. Research into heart rate variability (HRV) consistently demonstrates that patients with higher baseline coherence – reflecting dynamic autonomic balance – recover more quickly and with fewer complications after cardiac surgery, including coronary artery bypass grafting (CABG) [91]. Reduced HRV, by contrast, predicts adverse outcomes such as arrhythmias, longer ICU stays, and higher mortality [92, 93].
This coherence is not a mystical property but a measurable correlate of systemic flexibility: it reflects the capacity of the autonomic nervous system to adaptively coordinate cardiac function with respiratory, vascular, and central neural networks. From a cognitive-biological perspective, HRV can be interpreted as an index of the organism’s interpretive capacity – its ability to reconfigure internal states in response to perturbation and restore systemic balance. A collapse in HRV signals not only mechanical dysfunction but also a broader disruption in neurovisceral integration [37].
Importantly, HRV is not fixed but modifiable. Interventions aimed at enhancing autonomic regulation prior to and after surgery have shown promise. Preoperative biofeedback training, paced breathing, and mindfulness-based stress reduction can increase HRV, improve parasympathetic tone, and reduce anxiety [92, 93]. Such conditioning may serve as a non-pharmacological adjunct to surgical preparation, potentially lowering perioperative complications and accelerating recovery. Similarly, vagus nerve stimulation – whether invasive or transcutaneous – has emerged as a therapeutic strategy to enhance coherence and modulate inflammatory responses during and after cardiac surgery [42].
The perioperative period also highlights how coherence extends beyond the cardiovascular domain. For example, systemic inflammation following cardiopulmonary bypass has been linked to neurocognitive decline post-surgery. Patients with preserved HRV appear more resilient to this “postoperative cognitive dysfunction”, underscoring that systemic coherence encompasses not only cardiac recovery but also neural and immune integration [94–96]. Thus, HRV functions as a biomarker of whole-organism adaptability, with direct implications for predicting surgical outcomes and tailoring perioperative care.
In this framing, cardiac surgery illustrates how interventions must be conceptualised not simply as mechanical repairs but as opportunities to support and restore distributed sense-making. By monitoring and enhancing coherence, clinicians may better align surgical practice with the body’s inherent autopoietic capacities, transforming recovery from a purely technical process into a systemic reintegration of meaning.
Cancer as breakdown of communication
The reconceptualisation of cancer as a disorder of communication has begun to reshape oncology. Tumour microenvironments reveal cells that escape normal signalling constraints, behaving as if they had abandoned the “conversation” of tissue integrity [97]. From this perspective, carcinogenesis is not simply uncontrolled proliferation but a loss of contextual integration: cells cease to interpret growth signals in relation to the needs of the tissue as a whole [79].
Therapeutic strategies increasingly reflect this view. Interventions now aim not only at cell-intrinsic pathways but also at the restoration or modulation of intercellular dialogue. Examples include manipulating exosome-mediated signalling to disrupt tumour progression, or re-educating tumour-associated macrophages (TAMs) to shift the immune microenvironment from tumour-promoting to tumour-suppressive [98, 99]. Similarly, therapies targeting angiogenesis and stromal–epithelial interactions seek to restore communication balance within the tumour niche.
This evolution echoes Varela’s insight that life is fundamentally relational: pathology emerges when the interpretive loop that sustains coherence collapses. Cancer thus becomes legible not only as a genetic disease but also as a systemic semiotic failure – a breakdown in the dialogue between cells and their communities.
Toward systems-oriented clinical trials
To embed these insights firmly in medicine, research must evolve beyond linear cause–effect models. Traditional randomised controlled trials, while indispensable, often overlook the network-level dynamics through which interventions exert their effects. Systems-oriented clinical trials – already emerging in integrative oncology and chronic disease management – analyse outcomes not only by isolated endpoints but by shifts in immune coherence, metabolic adaptability, and patient-reported meaning-making [71, 100]. These designs acknowledge that therapy modifies the organism as a whole ecology, not just a single biochemical pathway.
Such approaches embody the autopoietic sensibility: to measure health not as the mere absence of disease but as the resilience and coherence of the self-producing system. By incorporating multidimensional biomarkers (e.g. HRV, inflammatory balance, microbiome diversity) alongside subjective measures of well-being, future research could capture a more faithful picture of recovery. This shift would not replace conventional metrics but enrich them, ensuring that clinical science reflects the interpretive, networked nature of living systems.
Discussion and future directions
The theories of Maturana and Varela compel medicine to look beyond the organ as a machine and toward the organism as a meaning-generating system. Cognitive biology frames life not simply as survival but as a continuous act of self-constitution – autopoiesis – in which physiology, cognition, and environment are intertwined [3, 4]. When translated into medical practice, this vision challenges the profession to reconsider what counts as evidence, how interventions are judged, and where the boundaries of therapy lie.
Rethinking the concept of health
If disease is not merely mechanical failure but a disruption of systemic coherence, then health cannot be reduced to normal laboratory values or imaging scans – it must be assessed in terms of the organism’s capacity to reinterpret perturbations and restore adaptive flexibility. This shift resonates with the growing movement in medicine toward resilience-based metrics, evaluating recovery speed, flexibility under stress, and subjective well-being alongside conventional biomarkers [15, 101]. Such a reframing moves clinical science from static equilibrium models to dynamic, adaptive models of health.
Ethical implications
The autopoietic lens also demands a reconfiguration of bioethics. Traditional models, often centred on patient rights and physician duties, assume a dualism between body as object and mind as subject. Cognitive biology dissolves this dichotomy, portraying the human as a semantic nexus of multiple functional levels. This compels clinicians to engage not only with survival statistics but also with the narratives through which patients situate their illness. Informed consent, quality-of-life assessments, and end-of-life care must all be reframed as dialogues in meaning-making, not mere administrative protocols [102, 103].
Clinical translation and implications
A practical strength of adopting a cognitive-biological perspective lies in its potential to reshape clinical interventions. If organs are regarded as cognitive units engaged in self-production and sense-making, then therapies must be directed not only toward mechanical repair but also toward restoring systemic coherence. For instance, cardiac interventions could integrate measures of heart rate variability as biomarkers of cognitive–autonomic integrity, guiding both preoperative preparation and postoperative recovery [38, 61]. Similarly, recognition of the gut as a cognitive partner underscores the therapeutic value of microbiome-targeted interventions, dietary modulation, and psychobiotics in managing gastrointestinal and neuropsychiatric disorders [10, 31]. In immunology, the framing of autoimmunity as a semantic collapse in recognition processes aligns with therapeutic strategies that retrain immune tolerance rather than suppress immune activity indiscriminately [52, 66].
Moreover, this paradigm aligns closely with the ambitions of precision and personalised medicine. While genomics and molecular profiling aim to tailor treatments to biological individuality, the autopoietic perspective emphasises resilience, adaptability, and inter-organ communication as equally important determinants of outcome. Clinical practice could thus evolve toward integrative models that combine structural repair with interventions enhancing systemic coherence – ranging from biofeedback and neurovisceral training to psychoneuroimmunological therapies [29, 69]. In this sense, cognitive biology does not replace conventional medicine but enriches it, offering a conceptual architecture that situates healing within the broader dialogue of the body’s distributed intelligence [100, 104].
Integrating systems medicine
Emerging technologies in genomics, metabolomics, and neuroimaging already produce vast data on organismic complexity. However, without a guiding framework, this abundance risks collapsing into fragmentation. Autopoiesis offers a conceptual architecture to integrate such findings, urging clinicians to interpret data not as isolated signals but as expressions of a living system’s attempt at coherence. Future research agendas should include systems-oriented trials, biomarkers of resilience (e.g. HRV, inflammatory balance), and patient-reported narratives, combining quantitative rigor with phenomenological depth [57, 58].
The challenge of education
For such a paradigm to gain traction, medical education must shift. Training should include not only molecular biology and evidence-based guidelines but also exposure to philosophy of biology, cognitive science, and phenomenology. Courses in narrative medicine and clinical communication are steps in this direction, but the autopoietic model calls for a full curricular integration, enabling physicians to think in terms of dynamic networks and interpretive systems rather than isolated pathologies [105, 106].
Toward a cognitive medicine
The next decades will probably see the rise of what might be termed cognitive medicine: a practice that explicitly recognies the interpretive dimension of biological life. In this model, healing is not imposed upon the patient but rather enacted in cooperation with the patient’s organism, which is always striving to sustain itself through meaning, in whatever level it might be conceived. Precision medicine will remain indispensable, but its promise will be magnified when embedded in an autopoietic understanding of life [56, 107].
Future research directions
Future research must move beyond conceptual articulation and empirically test the cognitive-biological paradigm. Systems biology and network medicine already provide methodological tools to map inter-organ communication, revealing how disruptions in signalling and coherence translate into pathology [57, 58]. Computational modelling and artificial intelligence could further operationalise these concepts by simulating autopoietic dynamics and predicting systemic resilience under therapeutic interventions [107]. For example, AI-based integrative platforms may allow clinicians to track patterns across cardiac variability, immune signalling, and microbiome profiles, thus generating multidimensional biomarkers of systemic coherence.
Clinical research should also expand toward systems-oriented trials that assess not only disease-specific endpoints but also markers of resilience, adaptability, and meaning-making. Early efforts in integrative oncology and chronic disease management have demonstrated the feasibility of evaluating outcomes such as immune balance, metabolic flexibility, and patient-reported well-being alongside conventional clinical metrics [71]. Such designs embody the autopoietic sensibility: health is not merely the absence of pathology but the capacity of the organism to sustain itself as a coherent, adaptive whole.
In parallel, qualitative and narrative-based approaches could enrich quantitative models, allowing patient subjectivity and lived experience to be incorporated as integral variables. This convergence of systems medicine, cognitive biology, and narrative practice could yield a new epistemology for clinical research – one that recognises meaning, coherence, and dialogue as measurable determinants of health [102, 108, 109].
Final reflection
The relevance of Maturana and Varela for contemporary medicine lies in their insistence that life is not passive but self-determined activity, a ceaseless dialogue between organism and world. The physician, in this light, is not merely a mechanic of tissues but a partner in the organism’s ongoing interpretation of existence. To treat disease is, ultimately, to participate in the reaffirmation of life’s autonomy.
In bringing cognitive biology into medicine, we are reminded of a simple but radical truth: the body is not only matter to be repaired but also meaning to be respected. Recognising this truth does not weaken medical science; it deepens its reach, allowing medicine to engage the human not only as a biological puzzle but as a living narrative. The scalpel, the drug, the diagnostic image – all remain essential. However, without attention to the autopoietic story of the organism, they risk becoming interventions without resonance. With it, they become part of a medicine capable of touching not only the body, but the very continuity of life itself.
Limitations
This article represents a conceptual and narrative exploration rather than an empirical clinical investigation. As such, several limitations must be acknowledged. First, the selection of literature, while structured, was not exhaustive and may have introduced interpretive bias by prioritising seminal or illustrative works over the full spectrum of available evidence. Second, the synthesis presented here is inherently interdisciplinary, drawing from philosophy, biology, and medicine, which may risk overextension or misalignment when concepts are transferred across domains. Third, the clinical implications discussed are primarily theoretical and supported by indirect or emerging evidence rather than large-scale randomised trials. Finally, while the proposed framework of cognitive biology and organ intelligence offers a promising paradigm, its integration into medical practice requires further empirical validation, operational definitions, and measurable clinical outcomes before it can inform routine diagnostics or therapies.
Conclusions
Cognitive biology provides medicine with a renewed epistemological foundation by framing life as an autopoietic, meaning-generating process distributed across organs and systems rather than localised solely in the brain. By recognising the heart, gut, immune system, and other organs as cognitive participants, clinical practice can move beyond a mechanistic neurocentric model toward a pluralistic understanding of health and disease as disturbances or restorations of systemic coherence. The implications of this shift are profound: diagnostics and therapies may be reconceived as interventions in the interpretive dialogue of the living body, while patient care becomes an engagement not only with physiology but also with subjectivity and meaning. Although further empirical validation is required, adopting the lens of cognitive biology enables a more integrative, humane, and forward-looking clinical medicine – one that situates healing in cooperation with the organism’s own intelligence and capacity for self-production.
Acknowledgments
Vasileios Leivaditis and Francesk Mulita – equal contribution and share first authorship
Funding
No external funding.
Ethical approval
Not applicable.
Conflict of interest
The authors declare no conflict of interest.
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