Major depressive disorder (MDD) is a globally occurring phenomenon and developed into a severe socio-economic challenge. Despite decades of research, the underlying pathophysiological processes of MDD remain incompletely resolved. Like other mental disorders, MDD is hypothesized to mainly affect the central nervous system (CNS). An increasing body of research indicates MDD to also change somatic functioning, which impairs the physiological performance of the whole organism. As a consequence, a paradigm shift seems reasonable towards a systemic view of how MDD affects the body. The same applies to treatment strategies, which mainly focus on the CNS. One new approach highlights changes in the bioenergetic supply and intracellular network dynamics of mitochondria for the pathophysiological understanding of MDD. Mitochondria, organelles of mostly all eukaryotic cells, use carbon compounds to provide biochemical energy in terms of adenosine triphosphate (ATP). ATP is the bioenergetic currency and the main driver for enzymatic activity in all cells and tissues. Clinical symptoms of MDD including fatigue, difficulties concentrating, and lack of motivation were reported to be associated with impaired mitochondrial ATP production and changes in the density of the mitochondrial network. Additionally, the severity of these symptoms correlates negatively with mitochondrial functioning. Psychotherapy, antidepressant medication, and electroconvulsive therapy (ECT), a method used to treat severe and treatment-resistant forms of MDD, achieve robust antidepressant effects. The biological mechanisms beyond the treatment response to antidepressant strategies are partially understood. Here, mitochondrial functioning is discussed as a promising new biomarker for diagnosis and treatment effects in MDD.
With a lifetime prevalence of up to 20%, major depressive disorder (MDD) is one of the most common psychiatric diseases worldwide currently affecting 350 million people as estimated by the World Health Organization (WHO). Despite advances in etiological research and currently existing successful therapy strategies, MDD seems to be a steadily growing threat to the health systems. From a systemic point of view, MDD is not only associated with strong individual suffering and an increased suicidal probability but also with physical complications including cardiovascular1 and cerebrovascular2 impairments, hypertension3, diabetes4, autoimmune diseases5 and immunological impairments4,6, tumors and even cancer7. The relationship between MDD and higher risk factors for physical diseases is a well-documented finding in literature8. However, the causal (biomolecular) links have not been sufficiently identified. In sum, MDD is a serious and complex disease that affects not only the quality of the mental wellbeing of those affected but is also linked to the aforementioned complications that significantly increase morbidity and mortality9. This MDD-related somatic vulnerability points to an overall organic character, which might physiologically affect much more than just neurons in the brain. Considering other etiologic risk factors for MDD, negative life events, and stressors of sufficient duration, intensity, or frequency often precede depressive episodes10. These include traumatic life experiences11, e.g. loss of family members or individuals of comparable importance, but also psychosocial stressors12, such as loss of employment13, high psychosocial demands in social occupations14, nightshift work15, and the care of chronically ill relatives16. As another important factor in the etiology of MDD, adverse childhood experiences (ACE) including abuse and neglect, which negatively influence the stress resilience of affected individuals on the psychological as well as biological level, were identified. Chronic and traumatic stress in childhood is associated with an increased probability for the occurrence of MDD17, and lowers the threshold for higher symptom severity and causes a higher probability for a chronic course of the disorder18,19. One reason might lie in the fact that the responsiveness to antidepressant therapy might be psychobiologically altered by the consequences of ACE, including changes in the endocrine stress response signaling, immunological functioning as well as neurocognition (for a review see ref. 20). Therefore, a history of ACE needs to be considered with more attention in clinical treatment as well as in psychiatric research when evaluating clinical treatment responses and remission stability. Of particular pathophysiological significance is the reduction of sleep quantity and quality, which is a core symptom of various mental health conditions21,22. Healthy sleep is fundamental for the reconstitution of the bioenergetic resources of the body23. On the other hand, there are also protective factors that might increase the threshold level for developing MDD, which include positive psychosocial as well as lifestyle-related factors. For example, a high level of social integrity, as well as emotional support from partners, family, and friends, were identified as strong factors of resilience24. Stress coping strategies and mental stress management programs25, at best combined to relaxation techniques26,27 and sports also show protective effects in coping with everyday stressors, but also after chronic as well as traumatic life experiences. Research on the psychobiological stress-buffering effects of coping and mindfulness becomes an important and increasing new discipline in clinical MDD research.
Oxidative stress and its role in the pathophysiology of MDD
The investigation as well as the characterization of the underlying pathophysiological mechanisms of MDD is of highest clinical interest: on the one hand to be able to diagnose MDD with the utmost certainty, and on the other hand for identifying and determining appropriate treatment approaches, e.g. based on robust and easily applicable biomarkers. Consequently, the demand for such markers (biomarkers or technical markers, i.e. markers ablated from electrophysiology or MRI-based neuroimaging) is correspondingly high, as they would allow the detectability of MDD (and also the subtype of it) with high sensitivity and specificity and open the gate for individual treatment strategies to make personalized medicine available in psychiatry. Contrary to the previous perspective that MDD is solely a brain disease, changes were described also on other biological levels outside the central nervous system (CNS). In addition to the changes in neurocognitive28,29, endocrine30, immunological31, and physiological functioning32, also biomolecular33, biochemical as well as bioenergetic alterations34,35 were reported in MDD. Under short-term conditions of stress, the physiological stress response is activated triggering a coordinated response from the body (somatic reaction). This causes a systemic activation of the central and peripheral nervous system, which in turn communicate with the endocrine system and the immune system to respond optimally to the stressor. In contrast, exposure to chronic or traumatic stress can lead to a maladaptive physiological condition that affects the functionality of the whole organism in the long term. This altered stress reactivity, which is considered to result from the biological dysregulation of the stress response orchestra, is accompanied by increased production rates of reactive oxygen species (ROS). To chemically activate inert molecular oxygen (O2), oxygen radicals are enzymatically generated as a side-product of oxidative phosphorylation (OXPHOS) inside mitochondria. Chronically increased ROS production rates are considered to be one core mechanism discussed in the etiology of MDD36,37, adding the main mediators for stress-associated biological damage in the body. At the biomolecular level, the sum of ROS negatively affects the antioxidant potential (AOP)—the sum of all antioxidants and their ROS-buffering capacity in cells and tissues. If the compensatory power of the AOP fails, a biochemical imbalance is created, which is defined as oxidative stress38. Based on their main production site, the mitochondria present in mostly all cells of the body, these ROS molecules non-specifically attack molecular cell structures as free radicals, including the mitochondria themselves, as well as cell membranes, proteins, and even the genome36. In addition to their role as major producers of ROS, mitochondria are the major source of biochemical energy in the form of adenosine triphosphate (ATP). ATP is the biochemical currency of all directed biological processes in eukaryotic cells, including immune cells. As a physiological consequence of ROS-associated stress, the soma develops a higher state of molecular chaos in terms of biological entropy. Damage to functional structures including the genome, the proteome, and other systemic functions of the cell might lead to a higher vulnerability for developing somatic as well as mental health conditions including MDD. To compensate for these biomolecular damages, cells have to invest energy in terms of ATP for biological processes like DNA repair, mitochondrial autophagy or the epigenetic regulation of gene expression to recover homeostasis by reversing ROS-induced entropy.
Psychoneuroendocrine and immunological alterations in MDD
Psychoneuroimmunological research provided evidence that inflammatory processes play a key role in the manifestation and development of mental disorders. The first indications were based on observations that patients with MDD have a significantly increased body temperature37 as well as changes in the perception of pain39, which is accompanied by an increased pain sensitivity with simultaneously lowered pain threshold. One contributing mediator of these alterations is the C-reactive protein (CRP), which is mainly released by the liver in physiological conditions of systemic inflammation. Depressed patients show a discrete increase in serum CRP compared to non-depressed control subjects40. Also, immunological alterations occur in depressed patients, which are mainly based on changes in the composition of immune cell populations due to chronic stress41. On the other hand, immune cells from patients with MDD show reduced immunological reactivity42. These observations are in turn counteracted by increased levels of proinflammatory cytokines, including interleukin 1-beta, interleukin-6, and tumor necrosis factor-alpha (TNF-alpha). Despite the suppressed functionality of the immune system in MDD, the proinflammatory signaling molecules are elevated in blood serum43. The increased immunological cytokine production in MDD could also be demonstrated in in vitro experiments43. The precise immunoregulatory changes leading to these proinflammatory phenotypes in MDD are not completely identified, although mitochondria also seem to play a central role in this44,45.
Mitochondrial bioenergetic activity as a new biomarker candidate in MDD
The core metabolism of all eukaryotic cells is based on the possibility to chemically convert hydrocarbon compounds (e.g. sugars, lipids, and amino acids) into compounds of lower molecular weight by the enzymatic removal of carbon dioxide (CO2) to convert the free energy into biochemical energy in form of ATP. This process called anaerobic respiration is performed without the need for molecular oxygen (O2). The metabolic reactions of the anaerobic respiration are considered relatively inefficient and do not cover the complete energy demand of the cell. Phylogenetically derived from cyanobacteria, mitochondria are descendants of organisms that gave up their autonomy by endosymbiosis and became a compartment of the eukaryotic cell. They consist of an outer and an inner lipid bilayer. This particular anatomy allows mitochondria to function as a kind of biophysical battery, in which a charge separation based on protons (H+) is generated across the inner mitochondrial membrane. With sufficient charge, the resulting electrochemical potential leads to the proton motive force (PMF). Now, combined to an electron transport chain (ETC), consisting of proteins and co-factors integrated into the inner mitochondrial membrane, the PMF is used for the production of ATP together with the consumption of O2 (see Fig. 1 for a schematic representation of mitochondrial oxidative phosphorylation at the inner mitochondrial membrane).
Disorders of mitochondrial energy metabolism can be attributed to genetic diseases46,47 as well as to environmental stressors, including exposure to heavy metals, toxins, and other xenobiotic substances48. These bioenergetic impairments are usually harmful or even fatal44. Patients with mitochondriopathies show an increased risk for mental disorders, including MDD45. The causality of this observation could not be demonstrated yet. However, there are many indications that the biochemical correlates of biological energy production and their underlying mechanisms could be an explanatory approach for the loss of mental as well as somatic performance characteristics for patients with MDD. Initial studies on mitochondrial energy metabolism suggest that MDD is associated with an impaired bioenergetic supply and alteration of the intracellular mitochondrial network measured in immune cells collected from peripheral blood49,50. One first study demonstrated that the mitochondrial bioenergetic performance of peripheral blood mononuclear cells (PBMC) was significantly reduced in MDD. Additionally, the reduction of mitochondrial performance was significantly correlated with the severity of depressive symptoms reported by the patients35. These physiological changes may also be attributed to an adaptation of the mitochondrial network inside the cells, which seems to be sensitive to physiological as well as environmental stress35. In addition to immune cells, other blood components such as blood platelets show a significant reduction in their bioenergetic activity profile34. The expectation of mitochondrial involvement in the pathophysiology of MDD is furthermore supported by in -vitro findings based on cell culture research. These show that the mitochondrial energy metabolism of immune cells can be altered by exposure to selective serotonin reuptake inhibitors (SSRI45). Animal studies demonstrated that deletions in mitochondrial DNA (mtDNA) and resulting mitochondrial dysfunction in the paraventricular thalamic nucleus are associated with lethargic behavioral changes that are linked to emotional, vegetative, and psychomotor impairments51. These observed changes are likely to be transferable to humans as they are core symptoms of MDD. In sum, mitochondria and their bioenergetic functioning represent a new and innovative approach in translational research on MDD. The correlation between the mitochondrial bioenergetic activity and the severity of depressive symptoms35 raises the question of how the mitochondrial performance and the mitochondrial network re-align in the context of clinical recovery after antidepressant treatment towards healthy functioning. The mitochondrial bioenergetic profile (the function of bioenergetic activity and the intracellular load of mitochondria) derivable from blood samples could thus be used as a possible indicator of the energetic state of the patient (see Fig. 2 for one representative high-resolution respirometric activity measurement in PBMC of a depressed patient (A) and a non-depressed control subject (B)). This potential biomarker could help to measure relevant mental as well as physical impairments that result in fatigue, lack of energy, and difficulties concentrating, prominent symptoms in MDD35.
Electroconvulsive therapy (ECT) and its efficacy in MDD
In addition to psychotherapy and psychopharmacology, ECT is also an effective intervention strategy. The clinical application of ECT goes back to work by Cerletti and Bini in the 1930s52. It is particularly used in the treatment of very severe forms or life-threatening psychiatric disorders including MDD. ECT is currently the most effective treatment option for severe, treatment-resistant MDD, and is also used in catatonia (and catatonic syndromes), rapid deterioration of the physical health of severely depressed patients, intolerance to antidepressant medication, and in MDD during pregnancy, amongst other conditions53. Additionally, it can be applied after the direct agreement of the patient to be treated with ECT, if former ECT treatments were effective54,55. At least half of the patients with treatment-resistant MDD show a significant improvement in the severity of depressive symptoms after ECT56. Clinical studies reported that ECT achieves significantly better outcomes compared to simulated ECT, placebo, and psychopharmacotherapy57,58,59. However, it is poorly understood which psychological and biological factors determine the response to ECT treatment. Nevertheless, the biological effects, as well as the mechanisms of action following ECT, remain postulated58 as their empirical evidence is still pending.
ECT: an introduction to methodology and conduct
Under short-term anesthesia (only for few minutes without intubation) and after a subsequent application of a muscle relaxant (e.g. succinyl-choline), ECT induces an electric current through the brain via electrodes on the scalp, which leads to a targeted and synchronous depolarization of neuronal assemblies in the brain that results in a convulsive state. To achieve a therapeutically significant effect, the time interval of 20 seconds should not be deceeded in the current-induced convulsion according to the clinical guidelines60,61. In general, patients with MDD receive 9 to 12 sessions consecutive at intervals of up to 3 days53,59,62. In addition to the aforementioned predictors of treatment response, patients with a higher age63,64, patients with psychotic64,65,66 or “melancholic” depression67, and patients with a severe suicidal tendency68,69 respond particularly well to ECT. Another predictive factor for the treatment response to ECT is the rate of improvement in clinical symptom severity58,70, which can be observed after the initiation of therapy. Clinical studies reported that 83% of patients achieve full remission of depressive symptoms when they show a reduction in the severity of depressive symptoms by the sixth ECT treatment session57. On the other hand, worse response to ECT is seen in patients with a chronic history of MDD or a clinical relapse60,71,72. Here, also negatively associated dose-response effects are described73,74. The sex of the patient does not influence the response to ECT treatment. This finding is of special interest because the lifetime risk for MDD in women is two times higher than the risk in men. Accordingly, the proportion of women with MDD is correspondingly higher compared to men75. To the best of our knowledge, the impact of traumatic life events experienced in childhood, adolescence, and adulthood on the response to ECT has not been studied. This is surprising, as all three lifetime periods are associated with a higher prevalence of traumatic life events in women compared to men. Preliminary research has demonstrated that mitochondrial bioenergetic activity in PBMC collected from non-depressed women with ACE is increased. Additionally, this increase shows a dose-response relationship with the severity of ACE73 measured as the CTQ sum score that is used to retrospectively assess and determine maltreatment load74. The precise biochemical underpinnings of these observations and how they are linked to an increased risk to develop MDD after exposure to ACE need more research.
Current explanatory models for the effects of ECT
In addition to the problem of missing biomarkers in clinical diagnostics in psychiatry, there are also no clinically-applicable biological indicators for the prediction of positive response to antidepressant treatment. Accordingly, it is of particular interest to investigate biomolecular and bioenergetic changes in effective MDD treatments to derive possible predictors. This approach also applies to a better understanding of the clinical response to ECT. Although “good” to “very good” antidepressant effects can be achieved on the individual level, these effects are not observed in all patients. So far, explanatory models for the mechanisms underlying ECT have been related to neuroendocrine76 and monoaminergic effects including changes in neurotransmitter levels of serotonin, dopamine, and norepinephrine77. Further research findings point to ECT effects at the level of neuroplasticity, the release of neurotrophic substances78, and the regeneration of existing brain tissue79. Functional magnetic resonance imaging (fMRI) in the CNS showed that patients have a significant difference in these factors before and after ECT80. Furthermore, it could be observed that the reduction of neuronal connectivity is associated with a reduction in depressive symptoms81. The precise biomolecular correlates of these ECT-inducible neuronal alterations remain unidentified. Neurobiological nuclear magnetic resonance (NMR) spectroscopy studies found that ECT treatment increases glutamine and glutamate levels in the brain which occur particularly in the anterior cingulate cortex (ACC)82,83,84 and lead to normalization. The ACC is of particular importance for altered cognitive error-perception processes (cognitive examination of executive errors and conflict monitoring) in psychiatric patients85, which are associated with suicidality, a major problem for severely depressed and psychotic patients. Studies indicate that ECT treatments also lead to biological changes outside the CNS86,87,88. An increase in norepinephrine in blood plasma after ECT was observed in non-melancholic, depressed patients86. Further studies show an effect of ECT on the levels of the dopamine metabolite homovanillic acid and 5-hydroxyindoleacetic acid (5-HIAA), a serotonin metabolite in cerebrospinal fluid87. A study by Okamoto and colleagues extended this finding to blood plasma88. Being present in the blood, these biomarkers allow an initial biochemical insight into the overall organic reactivity of the body to ECT treatment. Pioneering mass spectrometry studies on changes in lipid metabolism associated with mitochondrial energy metabolism in blood provided the first evidence that ECT also has effects on the physiological level in the periphery of the body89,90,91,92. Multivariate analysis of variance revealed that the levels of cholesterol and its subtypes HDL and LDL increase after treatment. The apolipoprotein A1 also showed an increased level after ECT in comparison to the unchanged apolipoprotein B93. These results confirmed initial findings on changes in cholesterol and its derivatives in mood disorders88,89,93. Changes in cholesterol levels as a function of depressive symptom relief after ECT treatment were also found in one first study by Ramamurthy and colleagues90. This is of interest in the context of mitochondrial biosynthesis, as mitochondria account for the majority of bioactive steroids synthesized from cholesterol and cholesterol metabolites94,95. Recent findings also indicate that O2 consumption in the CNS is associated with mitochondrial bioenergetic activity94. In theory, if the observation of altered O2 consumption in the periphery can be extended to the CNS, studies using signals based on blood oxygen-level dependency (BOLD) might be also influenced by differences in basal (baseline) oxygen consumption rates, further limiting MRI-based observations as long as differences in mitochondrial activity and/or density cannot be controlled in the statistical analyses. As a result, between-group differences in the BOLD-contrast might not be related to neuronal differences in response to a stimulus, but also as a consequence of differences in basal/baseline physiological O2 consumption rates. Therefore it can be expected that mitochondrial respiratory activity will receive increasing scientific attention in the future. Taking into account the fact that all forms of physiological activity—in particular, enzymatic performance - require biochemical energy in form of ATP, recent observations on immunological effects by ECT are also interesting. Although the data is very limited first investigations also show effects of ECT at the immunological level95. The dependency of the immunocellular activity on the biochemical energy supply by mitochondria has not been investigated yet. However, this assumption and initial confirmatory data indicate that the bioenergetic activity of cells and tissues can provide a new, important factor in the understanding of (patho)physiological changes in MDD.
Mitochondrial energy metabolism as an innovative candidate to study the ECT mechanism of action
Transdisciplinary trauma research failed to identify an applicable biological predictor for the individual response of depressed patients to ECT treatment. It is reasonable to believe that this aim is only intensified by the consideration of both clinical and biological factors6. Modern psychiatry also targets this goal in terms of personalized medicine. Studies will show to what extent the effects of ECT can be observed not only in the CNS but also on mitochondrial performance profiles measured in blood samples to be used as potential biomarkers. It is conceivable that the application of electric current during ECT also results in an electric current in the whole body which leads to a charge transfer that directly or indirectly affects the PMF inside the mitochondria. Another hypothesis involves a possible adaptation of the mitochondrial performance profile (respiratory activity and the intracellular load of mitochondria) by ECT. The characterization of ECT effects at the level of mitochondrial bioenergetic activity will provide important insights into the biological understanding of MDD. From a holistic perspective, the interdisciplinary combination of psychological, psychiatric, immunological, physiological, and biomolecular methods can be used to provide a much more systemic view on MDD. Secondly, significantly more knowledge about the biological effects of ECT on the severity of depressive symptoms and the response and progression of the ECT treatment could be gained. Inter- and transdisciplinary research approaches can help to boost the current knowledge about the biochemical and biological underpinnings of psychiatric disorders and the treatment options to catalyze the improvement of clinical therapeutic options and recovery rates. In addition to improved treatment strategies, the observed changes could also be used to derive potential new therapeutic methods that specifically target the mitochondrial bioenergetic activity. An appropriate starting point would be the field of orthomolecular medicine, which focuses on the influence of nutrition on the overall health of the organism. In the context of gene x environment interactions, nutrition shows a strong influence on biological systems including inflammation96, free-radical production, and oxidative stress38, DNA damage97, and most probably also on mitochondrial functioning98. In sum, deriving bioenergetic profiles from blood immune cells in stress and trauma-related diseases is a completely new discipline (suggested field: “Experimental Bioenergetics in Clinical Psychology and Psychiatry”) and is considered to be a very promising new approach to the development of a biological marker of mental illness and its therapeutic course. Accordingly, it is now necessary to initiate translational research in which these possible functional improvements can be objectified by interdisciplinary research methods. Mitochondrial energy metabolism is an innovative aspect in this regard. If ECT effects occur on the level of ATP production and O2 consumption, blood samples used to characterize mitochondrial performance in immune cells would be an easily implemented and well-tolerated approach that provides information about the bioenergetic state and thus potentially the somatic functionality of the patient. This would make the goal of personalized medicine in modern psychiatry become significantly more feasible. Another task of modern psychiatry must be to also consider environmental and lifestyle factors much stronger than today. For example, ACE and other types of critical life events combined with the available knowledge about biological vulnerability markers for stress susceptibility (genetic risk factors) should be taken into account in the sense of (gene)n x environment interactions to significantly improve psychiatric care and its efficiency. This new perspective is also necessary and even today applicable to the context of ECT.
Huffman, J. C., Celano, C. M., Beach, S. R., Motiwala, S. R. & Januzzi, J. L. Depression and cardiac disease: epidemiology, mechanisms, and diagnosis. Cardiovasc. Psychiatry Neurol. 2013, 1–14 (2013).
Kales, H. C. Cerebrovascular disease and late-life depression. Am. J. Geriatr. Psychiatry 13, 88–98 (2005).
Rubio-Guerra, A. F. et al. Depression increases the risk for uncontrolled hypertension. Exp. Clin. Cardiol. 18, 10–12 (2013).
Egede, L. E. Diabetes, major depression, and functional disability among U.S. adults. Diabetes Care 27, 421–428 (2004).
Kayser, M. S. & Dalmau, J. The emerging link between autoimmune disorders and neuropsychiatric disease. J. Neuropsychiatry Clin. Neurosci. 23, 90–97 (2011).
Leonard, B. E. The concept of depression as a dysfunction of the immune system. Curr. Immunol. Rev. 6, 205–212 (2010).
Spiegel, D. & Giese-Davis, J. Depression and cancer: mechanisms and disease progression. Biol. Psychiatry 54, 269–282 (2003).
Lotfaliany, M. et al. Depression and chronic diseases: co-occurrence and communality of risk factors. J. Affect. Disord. 241, 461–468 (2018).
Laursen, T. M., Munk-Olsen, T., Nordentoft, M. & Mortensen, P. B. Increased mortality among patients admitted with major psychiatric disorders: a register-based study comparing mortality in unipolar depressive disorder, bipolar affective disorder, schizoaffective disorder, and schizophrenia. J. Clin. Psychiatry 68, 899–907 (2007).
Southwick, S. M. & Charney, D. S. The science of resilience: implications for the prevention and treatment of depression. Science 338, 79–82 (2012).
Kendler, K. S., Karkowski, L. M. & Prescott, C. A. Causal relationship between stressful life events and the onset of major depression. Am. J. Psychiatry 156, 837–841 (1999).
Hirschfeld, R. M. A. The epidemiology of depression and the evolution of treatment. J. Clin. Psychiatry 73, 5–9 (2012).
Zuelke, A. E. et al. The association between unemployment and depression—results from the population-based LIFE-adult-study. J. Affect. Disord. 235, 399–406 (2018).
McLean, L. & McDonald Connor, C. Depressive symptoms in third-grade teachers: relations to classroom quality and student achievement. Child Dev. 86, 945–954 (2015).
Angerer, P., Schmook, R., Elfantel, I. & Li, J. Night work and the risk of depression: a systematic review. Dtsch. Aerzteblatt. Int. https://doi.org/10.3238/arztebl.2017.0404 (2017).
Alspaugh, M. E., Stephens, M. A., Townsend, A. L., Zarit, S. H. & Greene, R. Longitudinal patterns of risk for depression in dementia caregivers: objective and subjective primary stress as predictors. Psychol. Aging 14, 34–43 (1999).
Gerke, J. et al. Childhood maltreatment as risk factor for lifetime depression: the role of different types of experiences and sensitive periods. Ment. Health Prev. 10, 56–65 (2018).
Nanni, V., Uher, R. & Danese, A. Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis. Am. J. Psychiatry 169, 141–151 (2012).
Paterniti, S., Sterner, I., Caldwell, C. & Bisserbe, J.-C. Childhood neglect predicts the course of major depression in a tertiary care sample: a follow-up study. BMC Psychiatry 17, 113 (2017).
Hughes, K. et al. The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis. Lancet Public Health 2, e356–e366 (2017).
Tsuno, N., Besset, A. & Ritchie, K. Sleep and depression. J. Clin. Psychiatry 66, 1254–1269 (2005).
Wetter, T. C., Zils, E. & Fulda, S. In Sleep Medicine (eds Smith, H. R., Comella, C. L. & Högl, B.) 170–185, https://doi.org/10.1017/CBO9780511545085.012 (Cambridge University Press, 2008).
Berger, R. J. Bioenergetic functions of sleep and activity rhythms and their possible relevance to aging. Fed. Proc. 34, 97–102 (1975).
Southwick, S. M. et al. Why are some individuals more resilient than others: the role of social support. World Psychiatry 15, 77–79 (2016).
Banks, J. B., Welhaf, M. S. & Srour, A. The protective effects of brief mindfulness meditation training. Conscious. Cogn. 33, 277–285 (2015).
de Frias, C. M. & Whyne, E. Stress on health-related quality of life in older adults: the protective nature of mindfulness. Aging Ment. Health 19, 201–206 (2015).
Tartaro, J., Luecken, L. J. & Gunn, H. E. Exploring heart and soul: effects of religiosity/spirituality and gender on blood pressure and cortisol stress responses. J. Health Psychol. 10, 753–766 (2005).
Clark, L., Chamberlain, S. R. & Sahakian, B. J. Neurocognitive mechanisms in depression: implications for treatment. Annu. Rev. Neurosci. 32, 57–74 (2009).
Lorenzetti, V., Allen, N. B., Fornito, A. & Yücel, M. Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies. J. Affect. Disord. 117, 1–17 (2009).
Plotsky, P. M., Owens, M. J. & Nemeroff, C. B. Psychoneuroendocrinology of depression. Hypothalamic-pituitary-adrenal axis. Psychiatr. Clin. North Am. 21, 293–307 (1998).
Haapakoski, R., Ebmeier, K. P., Alenius, H. & Kivimäki, M. Innate and adaptive immunity in the development of depression: an update on current knowledge and technological advances. Prog. Neuropsychopharmacol. Biol. Psychiatry 66, 63–72 (2016).
Rosebrock, L. E., Hoxha, D., Norris, C., Cacioppo, J. T. & Gollan, J. K. Skin conductance and subjective arousal in anxiety, depression, and comorbidity: implications for affective reactivity. J. Psychophysiol. 31, 145–157 (2017).
Peacock, B. N., Scheiderer, D. J. & Kellermann, G. H. Biomolecular aspects of depression: a retrospective analysis. Compr. Psychiatry 73, 168–180 (2017).
Hroudová, J., Fišar, Z., Kitzlerová, E., Zvěřová, M. & Raboch, J. Mitochondrial respiration in blood platelets of depressive patients. Mitochondrion 13, 795–800 (2013).
Karabatsiakis, A. et al. Mitochondrial respiration in peripheral blood mononuclear cells correlates with depressive subsymptoms and severity of major depression. Transl. Psychiatry 4, e397–e397 (2014).
Circu, M. L. & Aw, T. Y. Reactive oxygen species, cellular redox systems, and apoptosis. Free Radic. Biol. Med. 48, 749–762 (2010).
Rausch, J. L. et al. Depressed patients have higher body temperature: 5-HT transporter long promoter region effects. Neuropsychobiology 47, 120–127 (2003).
Sies, H. Oxidative stress: a concept in redox biology and medicine. Redox Biol. 4, 180–183 (2015).
Hermesdorf, M. et al. Pain sensitivity in patients with major depression: differential effect of pain sensitivity measures, somatic cofactors, and disease characteristics. J. Pain. 17, 606–616 (2016).
Wium-Andersen, M. K., Ørsted, D. D., Nielsen, S. F. & Nordestgaard, B. G. Elevated C-Reactive protein levels, psychological distress, and depression in 73 131 individuals. JAMA Psychiatry 70, 176 (2013).
Maes, M. et al. Evidence for a systemic immune activation during depression: results of leukocyte enumeration by flow cytometry in conjunction with monoclonal antibody staining. Psychol. Med. 22, 45–53 (1992).
Felger, J. C. & Lotrich, F. E. Inflammatory cytokines in depression: neurobiological mechanisms and therapeutic implications. Neuroscience 246, 199–229 (2013).
Suarez, E. C., Lewis, J. G., Krishnan, R. R. & Young, K. H. Enhanced expression of cytokines and chemokines by blood monocytes to in vitro lipopolysaccharide stimulation are associated with hostility and severity of depressive symptoms in healthy women. Psychoneuroendocrinology 29, 1119–1128 (2004).
Azadi, A., Seo, D. J., Jafari Sasansara, H. & Van Haute, M. Mitochondrial DNA variations are associated with recurrent pregnancy loss. Mitochondrial DNA Part A 29, 674–678 (2018).
Fattal, O., Budur, K., Vaughan, A. J. & Franco, K. Review of the literature on major mental disorders in adult patients with mitochondrial diseases. Psychosomatics 47, 1–7 (2006).
López-Armada, M. J., Riveiro-Naveira, R. R., Vaamonde-García, C. & Valcárcel-Ares, M. N. Mitochondrial dysfunction and the inflammatory response. Mitochondrion 13, 106–118 (2013).
van Horssen, J., van Schaik, P. & Witte, M. Inflammation and mitochondrial dysfunction: a vicious circle in neurodegenerative disorders? Neurosci. Lett. https://doi.org/10.1016/j.neulet.2017.06.050 (2017).
Finsterer, J. Mitochondriopathies. Eur. J. Neurol. 11, 163–186 (2004).
Gałecki, P. in Systems Biology of Free Radicals and Antioxidants (ed. Laher, I.) 2369–2395, https://doi.org/10.1007/978-3-642-30018-9_190 (Springer Berlin Heidelberg, 2014).
Rawdin, B. J. et al. Dysregulated relationship of inflammation and oxidative stress in major depression. Brain. Behav. Immun. 31, 143–152 (2013).
Kasahara, T. et al. Depression-like episodes in mice harboring mtDNA deletions in paraventricular thalamus. Mol. Psychiatry 21, 39–48 (2016).
Faedda, G. L. et al. The origins of electroconvulsive therapy: Prof. Bini’s first report on ECT. J. Affect. Disord. 120, 12–15 (2010).
Jaffe, R. The Practice of Electroconvulsive Therapy: Recommendations for Treatment, Training, and Privileging: A Task Force Report Of the American Psychiatric Association (American Psychiatric Association, 2001).
Janicak, P. et al. Efficacy of ECT: a meta-analysis. Am. J. Psychiatry 142, 297–302 (1985).
UK ECT Review Group. Efficacy and safety of electroconvulsive therapy in depressive disorders: a systematic review and meta-analysis. Lancet 361, 799–808 (2003).
Karlinsky, H. & Shulman, K. I. The clinical use of electroconvulsive therapy in old age. J. Am. Geriatr. Soc. 32, 183–186 (1984).
Agarkar, S., Hurt, S., Lisanby, S. & Young, R. C. ECT use in unipolar and bipolar depression. J. ECT 28, e39–e40 (2012).
Grover, S., Mattoo, S. & Gupta, N. Theories on mechanism of action of electroconvulsive therapy. Ger. J. Psychiatry 8, 70–84 (2005).
Deutsche Gesellschaft Für Psychiatrie, Psychotherapie Und Nervenheilkunde (DGPPN) & Ärztliches Zentrum Für Qualität In Der Medizin (ÄZQ). S3-Leitlinie/Nationale VersorgungsLeitlinie Unipolare Depression - Langfassung, 2. Auflage. (Deutsche Gesellschaft für Psychiatrie, Psychotherapie und Nervenheilkunde (DGPPN); Bundesärztekammer (BÄK); Kassenärztliche Bundesvereinigung (KBV); Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF), 2015). https://doi.org/10.6101/AZQ/000364.
O’Connor, M. K. et al. The influence of age on the response of major depression to electroconvulsive therapy: a C.O.R.E. Report. Am. J. Geriatr. Psychiatry 9, 382–390 (2001).
O’Leary, D., Gill, D., Gregory, S. & Shawcross, C. Which depressed patients respond to ECT? The Nottingham results. J. Affect. Disord. 33, 245–250 (1995).
Hoppe, J. & Scriba, P. Stellungnahme zur Elektrokrampftherapie (EKT) als psychiatrische Behandlungsmaßnahme. Dtsch. Ärztebl. 3, (2003).
Husain, M. M. et al. Speed of response and remission in major depressive disorder with acute electroconvulsive therapy (ECT): a Consortium for Research in ECT (CORE) report. J. Clin. Psychiatry 65, 485–491 (2004).
Gupta, N., Avasthi, A. & Kulhara, P. Clinical variables as predictors of response to electroconvulsive therapy in endogenous depression. Indian J. Psychiatry 42, 60–65 (2000).
Kellner, C. H. et al. Relief of expressed suicidal intent by ECT: a consortium for research in ECT study. Am. J. Psychiatry 162, 977–982 (2005).
Kho, K. H. et al. A study into predictors for the speed of response to electroconvulsive therapy. J. ECT 20, 154–159 (2004).
Rasmussen, K. G., Stevens, S. R., Kung, S. & Mohan, A. Melancholic symptoms as assessed by the Hamilton Depression Rating Scale and outcomes with and without electroconvulsive therapy on an in-patient mood disorders unit. Acta Neuropsychiatr. 22, 21–25 (2010).
Dombrovski, A. Y. et al. Predictors of remission after electroconvulsive therapy in unipolar major depression. J. Clin. Psychiatry 66, 1043–1049 (2005).
Kho, K. H., Zwinderman, A. H. & Blansjaar, B. A. Predictors for the efficacy of electroconvulsive therapy: chart review of a naturalistic study. J. Clin. Psychiatry 66, 894–899 (2005).
Kukopulos, A., Reginaldi, D., Tondo, L., Bernabei, A. & Caliari, B. Spontaneous length of depression and response to ECT. Psychol. Med. 7, 625–629 (1977).
Magni, G., Fisman, M. & Helmes, E. Clinical correlates of ECT-resistant depression in the elderly. J. Clin. Psychiatry 49, 405–407 (1988).
Haq, A. U., Sitzmann, A. F., Goldman, M. L., Maixner, D. F. & Mickey, B. J. Response of depression to electroconvulsive therapy: a meta-analysis of clinical predictors. J. Clin. Psychiatry 76, 1374–1384 (2015).
Boeck, C. et al. Inflammation in adult women with a history of child maltreatment: the involvement of mitochondrial alterations and oxidative stress. Mitochondrion 30, 197–207 (2016).
Schury, K. & Kolassa, I.-T. Biological memory of childhood maltreatment: current knowledge and recommendations for future research: Biological memory of childhood maltreatment. Ann. N. Y. Acad. Sci. 1262, 93–100 (2012).
WHO. Depression and Other Common Mental Disorders. Global Estimates 2017 (WHO, 2017).
Abrams, R. Electroconvulsive Therapy (Oxford University Press, 2002).
Husain, M. M. et al. The efficacy of acute electroconvulsive therapy in atypical depression. J. Clin. Psychiatry 69, 406–411 (2008).
Cattan, R. A. et al. Electroconvulsive therapy in octogenarians. J. Am. Geriatr. Soc. 38, 753–758 (1990).
Burke, W. J., Rubin, E. H., Zorumski, C. F. & Wetzel, R. D. The safety of ECT in geriatric psychiatry. J. Am. Geriatr. Soc. 35, 516–521 (1987).
Abbott, C. C. et al. Electroconvulsive therapy response in major depressive disorder: a pilot functional network connectivity resting state fMRI investigation. Front. Psychiatry 4, 10 (2013).
Sheline, Y. I., Price, J. L., Yan, Z. & Mintun, M. A. Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proc. Natl. Acad. Sci. 107, 11020–11025 (2010).
Michael, N. et al. Neurotrophic effects of electroconvulsive therapy: a proton magnetic resonance study of the left amygdalar region in patients with treatment-resistant depression. Neuropsychopharmacology 28, 720–725 (2003).
Pfleiderer, B. et al. Effective electroconvulsive therapy reverses glutamate/glutamine deficit in the left anterior cingulum of unipolar depressed patients. Psychiatry Res. 122, 185–192 (2003).
Zhang, J. et al. Glutamate normalization with ECT treatment response in major depression. Mol. Psychiatry 18, 268–270 (2013).
Olvet, D. M. & Hajcak, G. The error-related negativity (ERN) and psychopathology: toward an endophenotype. Clin. Psychol. Rev. 28, 1343–1354 (2008).
Kelly, C. B. & Cooper, S. J. Plasma noradrenaline response to electroconvulsive therapy in depressive illness. Br. J. Psychiatry 171, 182–186 (1997).
Nikisch, G. & Mathé, A. A. CSF monoamine metabolites and neuropeptides in depressed patients before and after electroconvulsive therapy. Eur. Psychiatry 23, 356–359 (2008).
Okamoto, T. et al. Efficacy of electroconvulsive therapy is associated with changing blood levels of homovanillic acid and brain-derived neurotrophic factor (BDNF) in refractory depressed patients: a pilot study. Prog. Neuropsychopharmacol. Biol. Psychiatry 32, 1185–1190 (2008).
Olusi, S. O. & Fido, A. A. Serum lipid concentrations in patients with major depressive disorder. Biol. Psychiatry 40, 1128–1131 (1996).
Ramamurthy, G., Trejo, E. & Faraone, S. V. depression treatment in patients with coronary artery disease: a systematic review. Prim. Care Companion CNS Disord. https://doi.org/10.4088/PCC.13r01509 (2013).
Miller, W. L. Steroid hormone synthesis in mitochondria. Mol. Cell. Endocrinol. 379, 62–73 (2013).
Partonen, T., Haukka, J., Virtamo, J., Taylor, P. R. & Lönnqvist, J. Association of low serum total cholesterol with major depression and suicide. Br. J. Psychiatry 175, 259–262 (1999).
Glueck, C. J. et al. Hypocholesterolemia and affective disorders. Am. J. Med. Sci. 308, 218–225 (1994).
Cardenas, D. P. et al. Functional MRI during hyperbaric oxygen: effects of oxygen on neurovascular coupling and BOLD fMRI signals. NeuroImage 119, 382–389 (2015).
Kranaster, L. et al. Antidepressant efficacy of electroconvulsive therapy is associated with a reduction of the innate cellular immune activity in the cerebrospinal fluid in patients with depression. World J. Biol. Psychiatry 19, 379–389 (2018).
Kiecolt-Glaser, J. K. Stress, food, and inflammation: psychoneuroimmunology and nutrition at the cutting edge. Psychosom. Med. 72, 365–369 (2010).
Fenech, M. & Bonassi, S. The effect of age, gender, diet and lifestyle on DNA damage measured using micronucleus frequency in human peripheral blood lymphocytes. Mutagenesis 26, 43–49 (2011).
Du, J. et al. The role of nutrients in protecting mitochondrial function and neurotransmitter signaling: implications for the treatment of depression, PTSD, and suicidal behaviors. Crit. Rev. Food Sci. Nutr. 56, 2560–2578 (2016).
Conflict of interest
The authors declare that they have no conflict of interest.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Karabatsiakis, A., Schönfeldt-Lecuona, C. Depression, mitochondrial bioenergetics, and electroconvulsive therapy: a new approach towards personalized medicine in psychiatric treatment - a short review and current perspective. Transl Psychiatry 10, 226 (2020). https://doi.org/10.1038/s41398-020-00901-7
This article is cited by
Drugs & Therapy Perspectives (2022)