Introduction: bipolar disorder, metabolism and circadian rhythm

Bipolar disorder was first defined by psychiatrist Emil Kraepelin in his 1921 work “Manic Depressive Insanity and Paranoia”. In this publication Kraepelin noted metabolic and circadian disruption, as well as seasonal variation of symptoms, as particularly notable features of the condition:

“Repeatedly I saw in these cases moodiness set in in autumn and pass over in spring, when the sap shoots in the trees…”

“All these changes indicate that in manic depressive insanity marked disorders of metabolism must take place.”

“The attacks of manic-depressive insanity are invariably accompanied by all kinds of bodily changes. By far the most striking are the disorders of sleep and of general nourishment.” [1]

The past century of research investigating bipolar disorder pathophysiology has brought significant scientific validation to Kraepelin’s early clinical observations of circadian and metabolic dysfunction, establishing these as important features of bipolar disorder.

In this manuscript we highlight the interlinked nature of circadian and metabolic systems, which evolved under selective environmental pressures to mediate seasonal adaptions in metabolic function in response to changes in photo-period and environmental stressors. The highly conserved nature of such mechanisms in human biology and across diverse taxa highlight their essential role in survival. In particular, we discuss the notable overlap of such mechanisms with those of primary interest to bipolar disorder research in the fields of chrono-psychiatry and metabolic psychiatry.

Seasonal variation of bipolar symptoms

Seasonal variation in bipolar disorder symptoms and episodes is particularly notable among the psychiatric conditions. Systematic review of studies examining seasonality indicate that hospitalisations with episodes of mania peak in the spring and autumn [2] corresponding to times of year with the most rapid change in photo- period around the spring and autumn equinoxes. Conversely, during the winter there is a greater risk of depression in bipolar patients with depressive symptoms reaching a peak during the weeks when photoperiod is at its lowest around the winter solstice [2, 3].

A retrospective population-based study in Taiwan of 15,060 hospital admissions of bipolar disorder patients reported a peak of mania admissions in August and a peak of mixed episodes in March [4]. In a detailed time series analysis of a prospective cohort of 314 people living with bipolar disorder, the most significant peak of manic symptoms occurred around the autumn equinox and the most significant peak of depression around the winter solstice [2]. Hospital admissions for first episode mania in 152 bipolar patients in Korea peaked in the spring (March) and in the autumn (October) [5].

Studies observing a relationship between photo-period and occurrence of mania and depression in bipolar disorder give further scientific grounding to seasonal variation of symptoms. A study examining the relationship of photo-period to hospital admissions with mania in 21,882 patients in New South Wales reported increased admissions in the spring and that rate of change of photo-period was correlated with the number of admissions [6]. And a study of 992 hospital admissions in the United Kingdom reported that hours of daylight and hours of sunshine accounted for 68% of monthly fluctuations in number of admissions for mania [7]. Systematic review and meta-analysis of randomised controlled trials of light therapy indicate some efficacy in bipolar depression which lends further credence to the influence of light exposure on bipolar symptoms [8]. Conversely dark therapy has preliminary indications of effectiveness in bipolar mania [9].

However, seasonal variation is not observed in all studies, and may represent a distinct phenotype in bipolar patients. For example, an analysis of 295 patients in the Finnish Hospital Discharge Register of in-patient admissions, from a northern latitude where variation in solar insolation is more pronounced, found no seasonal variation of mania [10]. A study of 295 patients in India found no seasonal variation of mania, noting the relatively constant climate as a potential factor [11]. And a study of 5317 patients in Canada found no seasonal variation except for mixed state episodes peaking in the summer [12]. There are some indications that a distinct seasonal phenotype may be related to impaired metabolic function. In a study of 1471 outpatients with bipolar disorder, patients with seasonal pattern as compared to those without seasonal pattern, had significantly higher levels of fasting glucose, systolic blood pressure, triglycerides levels, larger abdominal circumference, and a higher body mass index [13].

Overall, systematic review of 51 studies reports evidence for seasonal variation in the majority of studies noting that “Seasonal peaks for different BD mood episodes are observed worldwide and widely replicated”. However, the exceptions noted here indicate that this is not universally observed and may occur in a subset of patients. Taken together, the evidence for increased hospitalisations at times of significant change in photo-period, association between solar insolation and occurrence of episodes, as well as evidence for the effectiveness of light and dark therapy, add scientific plausibility to an influence of seasonal changes in photo- period as a contributing factor in the onset of bipolar symptoms and episodes.

Notably, this is a clear patient priority with several large bipolar support organisations sharing patient experiences of seasonal variation in symptoms and developing and distributing advice on this topic [14,15,16].

Seasonal changes in photoperiod and metabolism

Throughout the evolutionary history of biological organisms, seasonal changes in photo-period have driven metabolic adaptations [17, 18]. These adaptations evolved as conserved traits across diverse taxa to optimize energy storage and expenditure in response to selective pressures in the environment. Photoperiod served as a critical environmental cue, enabling organisms to anticipate shifts in temperature, food availability, and reproductive opportunities, and to optimise their conservation and utilisation of energy accordingly.

Shortened photoperiod and reduced light exposure are among the most critical environmental signals triggering the onset of metabolic depression in torpor and hibernation [19, 20]. Reduction in photo-period cues physiological changes orchestrated by the superchiasmatic nucleus (SCN), such as slowed metabolic rate, suppression of circadian rhythms and altered hormonal signalling in preparation for conservation of energy during the winter period. Circadian rhythm and metabolic function are adjusted through changes in clock gene expression and metabolic mechanisms such as insulin signalling which prepare the body for prolonged periods of low metabolic activity.

Seasonal states of hypermetabolism also occur in many species around the time of the rapidly changing photo-period at the spring and autumn equinoxes, associated with survival behaviours such as migration, hunting and reproduction. For example, around the time of the spring and autumn equinoxes, migratory animals living in captivity (and removed from an evolutionary consistent environment), exhibit hyper-arousal, increased metabolic rate, restlessness and insomnia in a phenomenon referred to as “Zugunruhe” [21]. Changes in photoperiod are the most significant environmental cues triggering this phenotype [22]. In controlled environments devoid of natural cues and under conditions of artificial light, the signals triggering the hypermetabolic state can become disrupted leading to less predictable timing of episodes of hyper-arousal.

The central circadian and metabolic mechanisms which mediate seasonal metabolic adaptation are conserved in humans, and remain subject to seasonal variation, albeit attenuated from the more extreme adaptations exhibited in the natural world [23]. In this manuscript we highlight a significant overlap between these mechanisms and those which are of primary interest to bipolar disorder research.

Conserved mechanisms of seasonal metabolic adaptation and bipolar disorder

Research examining evolutionarily conserved mechanisms from animals to humans has led to several important developments in metabolic research and treatment development. For example, understanding of the role of glucagon-like peptide-1 (GLP1) developed from early observations of the role of exendin-4 in animals leading to the modern class of GLP1RA medications for diabetes and obesity [24]. And the action of insulin was originally studied in animals contributing to the development of modern diabetes treatment [25]. As psychiatry and metabolic science merge in the emerging field of metabolic psychiatry, such research trajectories may prove valuable for identifying and studying metabolic processes in the central nervous system which may be relevant to psychiatric conditions.

For example, changes in clock gene expression such as CLOCK and BMAL1 are a significant focus of chrono-psychiatry research and are also central to research into states of torpor and hibernation [26, 27]. Andrews. et al also highlight adaptations in mitochondrial function, glutamate and GABA, melatonin, and glucose and ketone metabolism in the brain as primary mediators of the torpor phenotype [28]. Giroud et.al highlight mechanisms such as GSK3 phosphorylation, AMPK, adaptations in mitochondrial function, hormonal signaling and inflammation as important mediators of torpor [29].

Here we discuss conserved mechanisms mediating seasonal metabolic adaptation in response to photo-period changes and environmental stressors and their associations with bipolar disorder pathophysiology. The intention of the authors is not to directly extrapolate seasonal metabolic adaptations in evolutionary history to putative roles in the modern diagnosis of bipolar disorder. Rather, we highlight evidence that underlying circadian and metabolic mechanisms have been closely interlinked throughout evolutionary history, and that many of these are conserved in human biology and implicated in bipolar disorder. The connection between these conserved biological mechanisms and those underlying bipolar disorder pathophysiology may represent a useful analogy and evolutionary context for metabolic psychiatry and chrono-psychiatry research as evidenced by the utility of such research trajectories in metabolic science.

Mechanisms of circadian dysregulation: clock genes, transcriptional translational feedback loops and melatonin

Circadian rhythms are fundamental biological processes which regulate a wide array of physiological functions, including metabolism, sleep-wake cycles and hormone release. Circadian rhythms are governed by an internal clock, primarily located in the suprachiasmatic nucleus (SCN) of the hypothalamus, which orchestrates a range of metabolic and hormonal adaptations in human and animal biology in response to changes in photo-period [30].

Suppression of normal circadian rhythm is a notable feature of both torpor/hibernation states and bipolar disorder, particularly during episodes of depression. In many hibernating species, in response to shortened photo-period in the winter, the robust daily rhythms of activity and rest observed during euthermia are attenuated or suppressed to facilitate extended metabolic depression [26, 31].

During torpor, the SCN adjusts the expression of clock genes involved in transcriptional-translational feedback loops (TTFL) such as CLOCK, BMAL1 and PER2 [26, 32], which are essential for maintaining circadian rhythms. These adaptations facilitate extended reduction of metabolic rate and conservation of energy in response to reduced photo-period and environmental stressors. TTFL mechanisms are widely conserved across species since the earliest forms of life, and represent an important biological mechanism linking photo-period, metabolism and circadian function [33].

Clock genes such as CLOCK and BMAL1 are also a central focus of chrono- psychiatry research in bipolar disorder. Polymorphisms in CLOCK and BMAL1 are associated with bipolar disorder [34, 35] among further metabolic, circadian and genetic factors shared with the torpor/hibernation phenotype summarised in Tables 1 and 2. Abnormalities in melatonin secretion, with delayed or attenuated rhythms, are observed in bipolar disorder patients [36,37,38,39] and people with bipolar disorder appear to have hyper-sensitive melatonin suppression in response to light [40]. This is further complicated by the artificial light environment in the modern era which represents a novel input to human biology. A UK Biobank analysis of 87,000 participants reported that increased night-time light exposure (artificially extending photo-period) is associated with increased risk of bipolar disorder [41]. A systematic review analysing data from 1,019,739 individuals from 14 studies reported significantly increased cardiometabolic risk in those who had the greatest night-time exposure to artificial light [42], indicating metabolic consequences of artificial light at night.

Table 1 Biological Similarities of Hibernation/Torpor and Bipolar Disorder.
Table 2 Putative Genetic Factors Common to Torpor and Bipolar Disorder.

Circadian regulation remains to a degree in daily torpor where states of extended metabolic depression alternate with short periods of hyper-metabolic arousal to allow for necessary survival behaviours [31]. In these states the circadian system remains active but constrains activity to shorter periods to allow for euthermia and foraging to occur [19]. Notably, the metabolic depression of torpor is often induced in the early morning and exited later in the day. The majority of patients with bipolar disorder experience clinically significant sleep disturbance and the tendency is substantially toward eveningness chronotype where patients experience partial and intermittent restoration of energy and function later in the day [43, 44]. For example, this occurs in delayed sleep phase syndrome (DSPS) which is a common form of sleep disruption in bipolar disorder patients [45]. In each case -adaptive in torpor and pathological in bipolar disorder- there is clear decoupling of the synchronization of physiological processes with the external environment.

Torpid animals experience intermittent hyper-metabolic bouts of arousal to allow for foraging and survival behaviours, cycling between metabolic depression and arousal to optimise acquisition of resources and conservation of energy. In patients with bipolar disorder, metabolic dysfunction in the form of insulin resistance and type 2 diabetes is associated with 3-fold risk of rapid-cycling bipolar disorder where sudden shifts between mood states occur in an analogous chrono-metabolic cycle [46].

While bipolar depression and mania are of course distinct phenomena from torpor and arousal states, and do not exhibit all of the features of this phenotype, similar underlying mechanisms mediating metabolic adaptation driven by circadian systems are implicated in both conditions. This may indicate a dysregulation of mechanisms which were once adaptive in the world in which human biology evolved. In the modern era, artificial light, sustained refined carbohydrate/sugar intake and novel environmental stressors provide incongruous inputs to these ancient survival mechanisms which evolved under selective pressure in environments of natural light and relative scarcity.

Metabolic mechanisms underlying seasonal metabolic adaptation and bipolar disorder

The ability to regulate metabolism in response to signals from the environment has been subject to significant selective pressure, and the mechanisms facilitating metabolic adaptation are therefore among the most highly conserved across time and across diverse taxa. The origins of these mechanisms trace back to some of the earliest forms of life and play a central role in regulating essential physiological processes such as metabolism, growth, reproduction, and aging [47]. For example, insulin signalling pathways are conserved mechanisms from unicellular eukaryotes through to mammals and homo-sapiens. In invertebrates like Caenorhabditis elegans and Drosophila melanogaster, insulin-like peptides and their receptors have been well characterized, influencing lifespan, development, and stress responses [48,49,50]. In mammals and homo-sapiens, insulin signalling pathways evolved a higher degree of complexity but their core functionality is remarkably preserved, highlighting important roles in cellular metabolism and energy homeostasis [51]. The conservation of adaptive metabolic mechanisms across diverse taxa and across time emphasize their role in regulating biological processes which are essential to life [52].

Recorded observations of a connection between metabolic dysfunction and bipolar disorder extend back to at least the 18th century and multiple explanations and mechanisms accounting for this connection have been proposed. In 1879 Sir Henry Maudsley noted in “The Pathology of the Mind” that “Diabetes is a disease which often shows itself in families in which insanity prevails” suggesting a mechanism of shared hereditary predisposition [53]. In 1890 George Henry Savage noted in “Insanity and Allied Neurosis” disturbances of glucose metabolism in several of his patients suffering from insanity. He reported these clinical observations in support of Maudsley’s theory, while noting that it was not clear how such metabolic disturbance would directly affect the central nervous system [54]. In 1921 Psychiatrist Ernst Kretschmer proposed an association of “pyknic” body-type characterised by abdominal fat distribution with manic-depression in his work “Physique and Character” [55]. Kretschmer’s later work explored blood chemistry and endocrinology in relation to these constitutional types indicating an interest in underlying biological factors driving this phenotype. Among the first proposals of a direct effect of disrupted glucose metabolism on bipolar disorder were those from C.D. van der Velde and M.W. Gordon in their 1969 manuscript “Manic-depressive illness, diabetes mellitus, and lithium carbonate” published in the Archives of General Psychiatry [56]. The authors reported increased frequency of abnormal glucose tolerance tests in manic patients compared to schizophrenic patients, suggesting impaired glucose metabolism as a possible mechanism linking metabolic function to bipolar disorder.

In recent decades, systematic review and meta-analyses of studies examining prevalence of conditions of metabolic dysfunction in bipolar patients support these early observations, reporting that metabolic dysfunction, in the form of insulin resistance, metabolic syndrome and type 2 diabetes are highly prevalent among people with bipolar disorder [46, 57, 58]. In newly diagnosed patients, rates of metabolic syndrome and insulin resistance are significantly higher than in healthy controls [59]. And metabolic issues persist even when controlling for medication use, indicating an intrinsic role of metabolic dysfunction in bipolar disorder, rather than being simply the result of side effects of medication [59,60,61]. We note that genetic links between metabolic dysfunction and bipolar disorder are not yet clearly established, for example a recent Mendelian randomization study reported a link between susceptibility to metabolic syndrome and multiple psychiatric conditions, but not bipolar disorder [62]. In contrast, a systematic review of genome wide and candidate gene studies identified 24 Cardiometabolic Mood Disorders hub (CMMDh) genes shared between mood disorders (including bipolar disorder) and cardiometabolic diseases [63]. Significant relationship between BMI and genetic risk factors for major depressive disorder were recently reported in a large genome-wide association study and further research of this kind is needed to better understand genetic risk factors for bipolar disorder and their relationship to metabolic parameters [64].

Here we discuss specific metabolic mechanisms which represent significant research loci in bipolar disorder and are implicated in conserved mechanisms of seasonal metabolic adaptation.

Role of the phosphatidylinositol cycle in the phosphatidylinositol 3 kinase/protein kinase B (PI3K/Akt) insulin signalling pathway

The most notable metabolic adaptation in states of hibernation and torpor is the transition to energy-conserving states of reduced basal metabolic rate and a switch from reliance on glucose to utilisation of adipose tissue and fatty acid metabolism [65,66,67] facilitated by insulin signalling mechanisms. Insulin signalling pathway activation has been observed to reduce fivefold in skeletal muscle during torpor in a non-human primate compared with aroused state [65] and forty-nine fold in avian species during torpor [68]. When the PI3K/Akt insulin signalling pathway is downregulated, energy is conserved by reduced glucose transport and metabolism. Pyruvate dehydrogenase (PDH), an enzyme which converts glucose derivative pyruvate into TCA cycle intermediate acetyl-CoA, is tightly regulated by kinases (PDK), which phosphorylate and inactivate PDH, thereby inhibiting glucose metabolism. This metabolic shift favours the utilization of fatty acids over glucose oxidation. The PI3K/Akt pathway is preserved in humans and acts via regulation of pyruvate dehydrogenase (PDH) and it’s kinases (PDKs), playing a central role in metabolic adaptation to environmental cues [69].

The PI3K/Akt pathway and downstream targets encompass several mechanisms of central interest to bipolar disorder research including the primary targets of Lithium: the phosphatidylinositol cycle and GSK3β, as well as closely interlinked metabolic mechanisms Akt, mTOR and AMPK [70, 71]. The phosphatidylinositol cycle is a focus of significant research into the mechanism of action of Lithium and generates second messengers such as diacylglycerol (DAG) and phosphatidylinositol 3,4,5 triphosphate (PIP3) which are important mediators of insulin signaling to diverse metabolic systems. In response to insulin stimulation, PI3K phosphorylates phosphatidylinositol 4,5 bisphosphonate (PIP2) to generate phosphatidylinositol 3,4,5 triphosphate (PIP3) which activates Akt. In turn Akt phosphorylates Ser21 of GSK3α and Ser9 of GSK3β resulting in inhibition of GSK3β [70, 72]. This pathway connects metabolic status to environmental and nutritional signals mediated by insulin. Lithium also leads to inhibition of GSK3β through competitive inhibition at the binding site of the GSK3 cofactor magnesium [73, 74]. We have proposed that the effects of lithium may therefore be partly explained through its effects on insulin signalling pathways and have noted that lithium has demonstrated effects on glucose metabolism and insulin resistance [70, 75,76,77]. A recent study reported findings supporting this perspective in neurons derived from bipolar patients [78]. The study reported that lithium upregulated the insulin signalling Akt pathway in neurons from lithium responsive bipolar patients and that an activator of Akt reproduced similar effects to Lithium in reducing hyperexcitability in BD neurons.

By modulating insulin signaling pathways in varying degrees, humans and torpid animals may optimise the use of glucose towards essential survival functions, maintain metabolic stability, preferentially utilise adipose tissue as an energy reserve and ensure survival during prolonged periods of fasting. The average human body can store around 2400 calories derived from glucose in glycogen stores and well in excess of 100,000 calories in adipose tissue [79, 80]. Therefore, under conditions of scarcity, mechanisms which optimise the utilisation of available glucose toward essential survival functions in the CNS and upregulate fatty-acid metabolism are important for survival. The evolutionary function of insulin resistance was therefore adaptive in nature. During periods of fasting, insulin signalling pathways are modulated, causing peripheral muscle tissue to become insulin resistant and reduce glucose uptake in order to channel available glucose to more essential functions of the central nervous system (CNS) [81]. In a pre-agricultural and evolutionarily consistent environment, with periods of scarcity, this state served to preferentially direct glucose away from muscle tissue and towards more essential survival functions in the CNS. In the modern environment of artificial light and year-round refined carbohydrate intake, dysregulation of this adaptive mechanism may create a state of metabolic dysfunction in both peripheral tissues and the CNS.

The switch between glycolytic metabolism and fatty-acid metabolism facilitated by insulin signalling mechanisms is among the most significant seasonal metabolic adaptations. This is most explicitly exemplified by the visible storage of adipose tissue in the pre-winter period and utilisation of adipose tissue for metabolic fuel during winter hibernation and torpor. However, this adaptation also occurs throughout the year in response to stress, and threats in the environment such as illness, sepsis or starvation. During such times adipose tissue served as a reliable metabolic fuel to carry life through times of scarcity or stress when carbohydrate intake was not guaranteed. This is demonstrated for example by the increased expression of hormone GDF15 which conveys somatic distress in response to sepsis, starvation and other stressors, and subsequent GDF15 mediated induction of lipid metabolism and ketogenesis [82, 83]. In other words, diverse forms of life have evolved a survival mechanism which transitioned the body to a state of metabolic depression, energy conservation and fatty-acid metabolism to increase the chances of survival in reaction to environmental stressors and seasonal scarcity. It is possible that such adaptive mechanisms, many of the components of which are subject to modification by lithium, may become dysregulated in a modern environment and contribute to an analogous state of metabolic depression in bipolar patients.

GSK3

Glycogen synthase kinase 3 (GSK3) plays a significant downstream role in PI3K/Akt insulin signalling through phosphorylation via Akt. GSK3 is a serine/threonine kinase with two isoforms, GSK3α and GSK3β, both highly expressed in the brain.

GSK3 regulates glycogen synthesis, circadian rhythms, neuroplasticity, and inflammation and its activity is influenced by light-mediated signals via the SCN [84]. Research indicates that GSK3β phosphorylation oscillates with the circadian cycle, affecting clock proteins like PER2 and CRY2, which are mediators of hibernation and torpor [85].

GSK3β activity is subject to significant modification during states of metabolic depression in torpor [86]. The phosphoprotein abundance of GSK3β increases around 5-fold in the brain in deep torpor compared to normal levels observed in the summer. This adaptation occurs both seasonally and in response to torpor and arousal bouts throughout the year [87]. Increases in GSK3β in torpor occur alongside increased phosphoprotein abundance of pyruvate dehydrogenase indicating adaptations in GSK3 β mediated insulin signaling [86].

In peripheral blood mono-nuclear cells (PBMCs) of bipolar disorder patients, GSK3 activity is dysregulated [88] and insulin stimulation causes robust increase in phosphorylated GSK3β in lithium responsive patients in contrast to decreases in lithium non-responsive patients [89]. GSK3 is elevated during mania and this is mitigated by increased serine phosphorylation by lithium [88]. Conversely, reduced total GSK3β distinguishes patients with bipolar depression from those with unipolar depression [90]. The dynamic dysregulation of GSK3 differentiating lithium responsive and non-responsive patients in response to insulin stimulation may indicate a role of GSK3 in insulin signalling in bipolar disorder, paralleling this function in the torpor phenotype.

GSK3 mediates adaptations in circadian and metabolic processes in response to photo-period and is one of the most studied mechanisms in bipolar disorder research due to its implication in the mechanism of action of lithium. The role of GSK3 in states of hibernation and torpor highlights its evolutionary preservation and function at the intersection of metabolic and circadian processes.

mTOR

A further mechanism intricately interlinked with insulin signalling and GSK3 activity is the mechanistic target of rapamycin (mTOR) pathway which integrates nutrient and energy signals to regulate cell growth, synaptic plasticity, and circadian rhythms. mTOR activity fluctuates with nutrient availability and environmental cues and is heavily suppressed during metabolic depression in torpor and increased during arousal from torpor [91]. In bipolar depression reduced mRNA expression in the AKT1/mTOR pathway has been observed [92] and mTOR hypoactivity contributes to altered synaptic plasticity, mood instability and cognitive impairment [93]. In peripheral immune cells from bipolar patients, dynamic increases in phosphorylated mTOR in response to insulin stimulation indicate a form of metabolic dysregulation which may be associated with response to lithium [89].

Circadian clocks regulate mTOR signalling during calorie restriction (e.g., during winter hibernation/torpor), where mTOR signalling is suppressed, promoting autophagy and energy conservation. Conversely, in times of abundance (e.g., spring/summer), mTOR activation supports anabolic processes like protein synthesis and neurogenesis [94]. In rats increased mTOR and AKT1 activity has been observed in the brain during mania-like behaviour [95]. And rapamycin, an mTOR inhibitor reduces mania-like behaviour in animals [96]. The PI3K/Akt/mTOR pathway is also an important target associated with the effects of multiple pharmacological agents utilised in psychiatry including olanzepine, ketamine and lithium [89, 97, 98].

mTOR is a metabolic target of increasing interest in psychiatric research due to its implication in multiple psychiatric conditions and the action of pharmacological agents. Here we note its role in both seasonal metabolic adaptation and bipolar disorder, in the context of its function at the intersection of metabolic and circadian systems.

AMP-activated protein kinase (AMPK)

AMPK is a regulator of cellular energy homeostasis, activated under conditions of low energy (high AMP/ATP ratio) and plays a significant role in the metabolic adaptation to states of metabolic depression. AMPK promotes energy conservation by inhibiting anabolic processes (e.g., via mTOR suppression) and enhancing catabolic pathways such as fatty acid oxidation. During hibernation phosphorylation of AMPK is enhanced throughout the brain indicating a role of AMPK mediated metabolic adaptation [99, 100]. AMPK is also intricately interlinked with circadian mechanisms facilitating seasonal adaptation, modulating clock component cryptochrome 1 (CRY1) [101]. In bipolar disorder, cerebral AMPK activity is implicated in neuronal excitability. In a recent study an AMPK activator reduced hyperexcitability in lithium responsive neurons [78] and this effect was mediated by Akt signalling, implicating the insulin signalling pathway. There are some early indications that modulating AMPK may be beneficial in psychiatric conditions. For example, an RCT of metformin in bipolar patients - an activator of AMPK - reported improvements in metabolic and psychiatric symptoms alongside reversal of insulin resistance [102].

AMPK is a critical regulator of metabolic adaptation in torpor and hibernation and emerging evidence indicates a role in neuronal excitability and mood regulation in bipolar disorder. During episodes of depression, which often peak in winter, AMPK overactivation may mimic energy-conserving states, leading to reduced neuronal activity and anhedonia.

Ketosis

In response to the described circadian and metabolic adaptations during metabolic depression, the body and brain transition from reliance on glycolytic metabolism to fatty acid metabolism facilitated by ketosis. Ketosis is an important metabolic adaptation for many species that undergo hibernation and torpor [103]. During periods of reduced metabolic activity, species rely on their fat reserves for energy [28]. The liver converts these fat stores into ketone bodies, such as β- hydroxybutyrate and acetoacetate, which can be used as an efficient energy source by tissues including the brain and muscle. In many hibernating animals, the shift from glucose to ketone metabolism is a fundamental component of their physiological adaptations [104, 105]. Throughout the hibernation period of metabolic depression, which can last several months, ketosis ensures a steady alternative supply of energy from adipose tissue, supporting vital bodily functions, while minimizing breakdown of skeletal muscle.

Torpor, the state of short-term metabolic depression observed in mammals, also leverages ketosis for energy management but can occur throughout the year in response to environmental stressors [106]. During torpor, an animal’s body temperature and metabolic rate drop significantly, reducing energy expenditure. However, a basal level of energy to maintain essential physiological processes is required and ketosis provides this energy efficiently, producing 31% more ATP per molecule of oxygen than pyruvate, the end product of glycolysis [107].

In an evolutionarily consistent environment, adaptations in insulin signalling induced adaptative insulin resistance and downregulation of glucose metabolism to conserve available glucose for the central nervous system and to utilise ketone bodies as the primary energy substrate. By shifting the body’s primary energy source from glucose to ketone bodies, ketones can bypass insulin-resistant pathways and sustain metabolic function even during states of profound metabolic depression.

Perhaps the most significant adaptation in states of metabolic depression in animals is the substantial inhibition of the pyruvate dehydrogenase complex (PDC), the primary rate-limiting step in glucose oxidation. In humans, in conditions where pathological inhibition of PDC occurs such as in Pyruvate Dehydrogenase Deficiency and Leigh Syndrome, the primary expression of pathology is neurological (seizure) and induction of ketosis through a ketogenic diet is the standard of care [108].

Ketone bodies such as beta-hydroxybutyrate do not rely on flux through the PI3K/AKT regulated pyruvate dehydrogenase complex (PDC) to generate energy in the citric acid cycle and enter through an alternative pathway via conversion to Acetyl-CoA bypassing the PDC [109] as illustrated in Fig. 1.

Fig. 1: Ketone Bodies Provide an Alternative Metabolic Substrate in Metabolic Depression During Hibernation/Torpor and States of Insulin Resistance.
figure 1

GSK3 - Glycogen Synthase Kinase 3, mTOR - Mechanistic Target of Rapamycin, AMPK - AMP-activated Protein Kinase, HIF-1α - Hypoxia-Inducible Factor 1-alpha, IL-6 - Interleukin 6, TNF-α - Tumor Necrosis Factor-alpha, CLOCK - Circadian Locomotor Output Cycles Kaput, BMAL1 basic helix-loop-helix ARNT like 1, HIF1A- Hypoxia-Inducible Factor 1-alpha.

The neurological effects of ketosis were first observed by Russell Wilder and Mynie Peterman at the Mayo Clinic in fasted epilepsy patients [110]. However, it was ascertained that ketosis and seizure reduction could also be achieved through increasing fatty-acid metabolism through a ketogenic diet leading to 13 RCTs and over 100 years of clinical application in epilepsy [111]. In contrast to fasting, a ketogenic diet provides ketone bodies while also signalling an abundance of calories, allowing normal metabolic rate to be sustained even under conditions of impaired insulin signalling and metabolic depression.

It is likely that early humans entered periods of ketosis and fatty acid-based metabolism several times a year in response to selective pressures in the environment and changes in food availability. In the post-agricultural era, where access to high carbohydrate foods has become increasingly available, states of established ketosis have become infrequent. Metabolic mechanisms, exposed on a continual basis to hyper-stimuli, begin to break down and disrupt metabolic homeostasis. For example, phosphorylation of components of the insulin signalling pathway such as Akt and GSK3 becomes blunted under such conditions [112]. The preliminary observations of beneficial effects of ketosis in psychiatric conditions from case series, pilot studies, and observational studies may be partially explained by the implication of these mechanisms of disrupted metabolic adaptation in bipolar disorder [113,114,115,116,117,118,119,120]. The findings in this area are preliminary, and over 20 clinical trials are now in progress to further investigate the effects of induction of ketosis in neuropsychiatric conditions beyond epilepsy. Several useful treatments for bipolar disorder including lamotrigine, valproate and carbamazepine have come from epilepsy research. And recent observations of effects of ketosis on brain glutamate metabolism in bipolar patients [113] -a putative mechanism of action of epilepsy medications such as lamotrigine – make this an interesting research trajectory for further investigation.

Hormonal and immune mechanisms and biomarkers

Adaptations in hormonal signaling, orchestrated by the SCN play a significant role in coordinating seasonal metabolic adaptation. Melatonin is regulated by light-dark cycles, with secretion being decreased during longer daylight periods (e.g., spring/summer), promoting activity and energy expenditure, and increased in winter to support energy conservation by reducing metabolic rate, as observed in hibernating animals [121]. Melatonin is also a hormone of central interest to chrono-psychiatry research. In BD, melatonin dysregulation disrupts circadian rhythms, contributing to sleep disturbances and mood episodes [37]. Cortisol, a stress hormone, also fluctuates seasonally, rising in winter to mobilize energy stores under scarcity, modulated by the hypothalamic-pituitary-adrenal (HPA) axis [122]. Cortisol dysregulation is commonly observed in bipolar patients, and elevated cortisol has been observed to correlate with symptoms of depression [123].

In hibernation the immune system is suppressed with significant reduction of circulating leukocytes [124]. During arousal, monocytes and neutrophils increase rapidly [124]. In BD, immune dysregulation is well established, with elevated IL-6, TNF-α, and C-reactive protein (CRP) levels during mood episodes [125]. Seasonal variation of systematic inflammation appears to be greater in bipolar patients [126] and mania is associated with an acute inflammatory state [127].

Bipolar depression may represent a state of dysregulated inflammation coupled with functional immune impairments, with indications of both increased inflammatory markers such as IL-6 and IL-8 [128] and also elements of immune suppression indicated by lower levels of IL-4 [129].

A summary of the metabolic mechanisms shared between seasonal metabolic adaptation and bipolar disorder are detailed in Fig. 2.

Fig. 2: Mechanisms and Biomarkers Shared between the Torpor/Hibernation Phenotype and Bipolar Depression.
figure 2

PI3K - Phosphoinositide 3-Kinase, AKT - Protein Kinase B, mTOR - Mechanistic Target of Rapamycin, HIF1 - Hypoxia-Inducible Factor 1, PDHC - Pyruvate Dehydrogenase Complex, PDKs - Pyruvate Dehydrogenase Kinases, D-β-Hydroxybutyrate - D-Beta-Hydroxybutyrate, Acetoacetate - Acetoacetate, Acetoacetyl-CoA - Acetoacetyl Coenzyme A, NAD + - Nicotinamide Adenine Dinucleotide (oxidized form), NADH – Nicotinamide Adenine Dinucleotide (reduced form), FAD - Flavin Adenine Dinucleotide, FADH2 - Reduced Flavin Adenine Dinucleotide, ATP - Adenosine Triphosphate, ADP - Adenosine Diphosphate.

Metabolic plasticity

In addition to the observation of metabolic, circadian and seasonal aspects of bipolar disorder, Emil Kraepelin highlighted in Manic Depressive Insanity and Paranoia a proposal from a colleague that the metabolic features and periodic occurrence of bipolar disorder may be explained by an evolutionary perspective:

“Stransky also searches for an explanation of manic-depressive insanity from the point- of view of metabolic disorders…[he] emphasizes the ancestral relations between emotional life and periodicity.” [1]

The clinical observations of Kraepelin of circadian and metabolic dysfunction in bipolar disorder have been well substantiated over the past century of chronopsychiatry, multiomics, brain imaging and metabolic research elucidating mechanisms of disrupted sleep architecture, seasonality of symptoms, and metabolic and circadian dysregulation. At the mechanistic level this is expressed as dysregulation of circadian and metabolic signalling networks implicating several targets of psychiatric medications such as GSK3β, the phosphatidylinositol cycle, Akt, and mTOR, clock genes active in the SCN such as CLOCK and BMAL1 and dysregulation of hormones such as melatonin and cortisol.

Long preceding the modern diagnosis of bipolar disorder, adaptive chronometabolic mechanisms evolved under selective pressures throughout the evolutionary history of mammalian life where interconnection between circadian regulation and metabolic function were essential for survival. An important aspect of the function of conserved chronometabolic mechanisms was to adapt conservation and utilisation of energy in response to environmental signals. In particular, such mechanisms facilitated seasonal metabolic adaptations between glycolytic and fatty-acid metabolism which allowed life to survive on energy stored as adipose tissue when resources were scarce in the winter and when stressors such as illness or sepsis prevented resource acquisition.

In the modern era, artificial light conditions and continuous year-round refined carbohydrate and sugar consumption provide incongruous inputs to these ancient, conserved systems of circadian and metabolic regulation, contributing to the high prevalence of circadian and metabolic dysfunction in bipolar patients. The breakdown of these adaptive chronometabolic mechanisms may result in a hypometabolic state analogous to the torpor phenotype. The torpor-like state in bipolar depression is characterised by impaired insulin signalling (implicating PI- Cycle, GSK3, mTOR and AMPK), impaired cerebral glucose metabolism, suppression of clock genes (CLOCK and BMAL1) and circadian rhythm, dysregulation of the immune system (IL-6, IL-4, CRP) and altered hormonal signalling (dysregulated melatonin and cortisol secretion). There are also analogous features shared between seasonal hyper-metabolic states, arousal states, and bipolar mania where circadian and metabolic mediators such as CLOCK and mTOR play a key role. We have noted that mania peaks around the spring and autumn equinoxes when photo-period changes most rapidly and during this time many species experience hypermetabolic states driven by chronometabolic systems. At these times of year manic patients exhibit degrees of insomnia, hyperactivity, increased energy, disrupted circadian rhythm and hypersexuality, in a pathological state analogous to similar behavioural traits occurring across many species at these times of year.

It is important to note that despite the similarities noted here, seasonal metabolic adaptations in animals and bipolar depression/mania are distinct phenomena. For example, the significant reduction of body temperature in torpid animals is not necessarily present in bipolar depression, and bipolar mood states, while influenced by environmental factors such as photoperiod are subject to wider influences and occur with less predictable triggers. The explanatory scope of seasonal metabolic adaptation is therefore does not encompass the totality of bipolar clinical presentation and pathophysiology. With this being clearly stated, we note that seasonal variation of bipolar symptoms requires a biological explanation and metabolic adaptations are among the most established seasonal variations across diverse forms of life. Several of the underlying circadian and metabolic mechanisms mediating metabolic adaptation to environmental cues are preserved in humans and are implicated in bipolar disorder. We propose, therefore, that bipolar disorder may represent a condition of dysregulation of evolutionarily conserved mechanisms of chronometabolic regulation. This may occur at the intersection of genetic predisposition and interaction with hyper-stimuli from an artificial light and food environment damaging chronometabolic mechanisms. For example, sustained refined sugar and carbohydrate intake impairs phosphorylation of key component of insulin signaling networks such as GSK3 and Akt [112]. In this manuscript we have described several of the core mechanisms and their links to existing treatment modalities such as lithium, olanzepine, light and dark therapy and circadian interventions.

The implication of these chronometabolic mechanisms in bipolar disorder may also provide context for the preliminary indications of effects of metabolic treatment strategies which are the focus of the emerging field of metabolic psychiatry [102, 113,114,115] and circadian treatment modalities which are already utilised in clinical care. Given this context, research in metabolic psychiatry may consider advancing research trajectories at the intersection of conserved circadian and metabolic mechanisms, with a view to development of new chronometabolic treatment modalities addressing psychiatric symptoms and the considerable metabolic and circadian co-morbidities present in bipolar disorder. We propose than insulin signaling mechanisms represent a promising frontier for research given their connection to seasonal metabolic adaptation, the primary targets of lithium, and demonstrated role in states of metabolic dysfunction in multiple-organ systems including the brain and CNS. Investigation of insulin sensitising medications, incretin-based treatments, modulation of clock gene function, specific targeted phosphorylation of components of PI3K/Akt insulin signalling and translation of neurometabolic modalities such as ketosis are several avenues available for investigation in metabolic psychiatry research.