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Exploring the mechanisms of action of the antidepressant effect of the ketogenic diet
探討生酮飲食抗憂鬱作用的作用機制

  • Alessandro Ricci
    Alessandro Ricci
    Department of Psychiatry, Queen's University School of Medicine, 752 King Street West, K7L7X3, Kingston, ON, Canada
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    , Maia A. Idzikowski
    Maia A. Idzikowski
    Department of Psychiatry, Queen's University School of Medicine, 752 King Street West, K7L7X3, Kingston, ON, Canada
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    , Claudio N. Soares
    Claudio N. Soares
    Department of Psychiatry, Queen's University School of Medicine, 752 King Street West, K7L7X3, Kingston, ON, Canada; Providence Care Hospital, Kingston, ON, Canada; Kingston General Hospital, Kingston, ON, Canada; Centre for Neuroscience Studies (CNS), Queen's University, Kingston, ON, Canada
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    and Elisa Brietzke
    Elisa Brietzke
    Department of Psychiatry, Queen's University School of Medicine, 752 King Street West, K7L7X3, Kingston, ON, Canada; Kingston General Hospital, Kingston, ON, Canada; Centre for Neuroscience Studies (CNS), Queen's University, Kingston, ON, Canada
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    亞歷山德羅·里奇瑪雅·A·伊茲科斯基克勞迪奧·N·蘇亞雷斯和艾麗莎·布里茨克

Abstract 抽象的

The ketogenic diet (KD) is characterized by a diet ratio of 4:1 fat to non-fat energy sources. For decades KD has been successfully used to control seizures in epilepsy patients. Investigations into its mechanism of action suggest that it may have an effect on the metabolic, nervous, immune, and digestive systems. In this review, we postulate that KD may also improve depressive symptoms – for that, we highlight the similarities between depression and epilepsy, describe the extent to which body systems involved in both conditions are affected by the KD, and ultimately hypothesize how KD could improve MDD outcomes. Research into animal models and human patients have reported that KD can increase mitochondrial biogenesis and increase cellular resistance to oxidative stress both at the mitochondrial and genetic levels. Its effect on neurotransmitters alters cell-to-cell communication in the brain and may decrease hyperexcitability by increasing Gamma Aminobutyric Acid (GABA) and decreasing excitatory neurotransmitter levels. Its anti-inflammatory effects are mediated by decreasing chemo- and cytokine levels, including TNF-alpha and IL-1 levels. Finally, KD can alter gut microbiota (GM). Certain strains of microbiota predominate in major depressive disorder (MDD) when compared to healthy individuals. Recent evidence points to Bacteroidetes as a potential treatment predictor as it seems to increase in KD treatment responders for epilepsy. Each of these observations contributes to the presumed modulatory effects of KD on mood and supports its potential role as antidepressant.
生酮飲食(KD)的特徵是脂肪與非脂肪能量來源的飲食比例為4:1。幾十年來,KD 已成功用於控制癲癇患者的癲癇發作。對其作用機制的研究表明,它可能對代謝、神經、免疫和消化系統有影響。在這篇綜述中,我們假設生酮飲食也可能改善憂鬱症狀——為此,我們強調了憂鬱症和癲癇之間的相似性,描述了兩種疾病所涉及的身體系統受生酮飲食影響的程度,並最終假設生酮飲食如何改善憂鬱症狀MDD 結果。對動物模型和人類患者的研究表明,生酮飲食可以增加粒線體生物合成,並在粒線體和遺傳層面上增強細胞對氧化壓力的抵抗力。它對神經傳導物質的影響會改變大腦中細胞間的通訊,並可能透過增加伽馬氨基丁酸 (GABA) 和降低興奮性神經傳導物質水平來降低過度興奮性。其抗發炎作用是透過降低化療和細胞激素水平(包括 TNF-α 和 IL-1 水平)來介導的。最後,生酮飲食可以改變腸道微生物群 (GM)。與健康個體相比,某些微生物群在重度憂鬱症 (MDD) 中占主導地位。最近的證據表明擬桿菌是一種潛在的治療預測因素,因為它似乎增加了癲癇治療的 KD 治療反應者。這些觀察結果都有助於推測川崎病對情緒的調節作用,並支持其作為抗憂鬱藥物的潛在作用。

Introduction 介紹

Although commonly seen as a brain-based, purely mental illness, major depressive disorder (MDD) has multiple systemic manifestations, including, but not restricted to, neural, metabolic, immune, and gastrointestinal (GI) changes (Benros et al. 2013; Chi et al. 2015; Ghanei Gheshlagh et al. 2016; Lespérance et al. 2002; Mezuk et al. 2008). In addition, the presence of MDD influences both the risk and outcomes of cardiovascular diseases, cancer, and diabetes mellitus (Lespérance et al. 2002; Mezuk et al. 2008; Spiegel and Giese-Davis 2003). For example, depressive symptom severity is a strong predictor of post-myocardial infarction mortality (Lespérance et al. 2002). A diagnosis of MDD has been associated with a significant increase in cancer incidence and disease severity, as well as a 60% increase in risk of developing type II diabetes (Mezuk et al. 2008; Spiegel and Giese-Davis 2003). Taken together, those findings suggest that MDD might be understood as a multi-system disorder.
雖然重度憂鬱症(MDD)通常被視為一種基於大腦的純粹精神疾病,但它具有多種全身表現,包括但不限於神經、代謝、免疫和胃腸道(GI)變化( Benros et al. 2013 ; Chi人,2015 年Ghanei Gheshlagh 等人,2002年;此外,MDD 的存在會影響心血管疾病、癌症和糖尿病的風險和結果( Lespérance 等人,2002 年Mezuk 等人,2008 年Spiegel 和 Giese-Davis,2003 年)。例如,憂鬱症狀的嚴重程度是心肌梗塞後死亡率的強烈預測因子( Lespérance 等,2002 )。 MDD 的診斷與癌症發病率和疾病嚴重程度顯著增加以及 II 型糖尿病的風險增加 60% 相關( Mezuk 等人,2008 年Spiegel 和 Giese-Davis,2003 年)。總而言之,這些發現表明 MDD 可能被理解為一種多系統疾病。

In contrast, traditional therapeutic modalities in MDD do not target possible multi-systemic imbalances. Medications are conceived to target neurotransmitter levels, especially serotonin and norepinephrine, while talk therapies are meant to restructure thoughts, redefine relationships, and change behaviors. With the currently available therapeutic options, only about one third of patients with MDD achieve remission after first-line therapy (Sinyor et al. 2010). Secondary outcomes, like suicidality, see similar response rates (Bruce et al. 2004). Thus, a significant gap remains between the results obtained with current treatment modalities used as first line therapy for MDD and the psycho-social functioning, holistic needs of those suffering from this disabling condition.
相較之下,MDD 的傳統治療方式並非針對可能的多系統失衡。藥物的目的是針對神經傳導物質水平,尤其是血清素和去甲腎上腺素,而談話療法的目的是重組思想、重新定義關係和改變行為。根據目前可用的治療方案,只有約三分之一的 MDD 患者在一線治療後獲得緩解( Sinyor 等,2010 )。次要結果,如自殺,也有類似的反應率( Bruce et al. 2004 )。因此,目前用作 MDD 一線治療的治療方式所獲得的結果與患有這種致殘疾病的人的心理社會功能和整體需求之間仍然存在顯著差距。

Interventional studies and case reports suggest that a variety of systemic interventions may affect mood (Lee et al. 2018; McIntyre et al. 2019a). Whether anti-microbial, anti-inflammatory, or metabolic treatments per se, they seem to produce secondary effects on mood (Amodeo et al. 2017; Berk et al. 2019; Foster and McVey Neufeld 2013; Maalouf et al. 2009). Therefore, investigating how the field can harness systemic therapies and turn them into validated treatment options has become the focus of several recent investigations (McIntyre et al. 2019b). Altering metabolism, specifically, seems to be a strategy to target the multi-system manifestations of MDD by influencing brain functioning, and ultimately, emotions and behavior. Among various metabolic strategies, diet could become a new, effective, and affordable treatment option for individuals with MDD (Firth et al. 2019; Gibson-Smith et al. 2019; Vaghef-Mehrabany et al. 2019).
幹預研究和病例報告表明,多種系統幹預措施可能會影響情緒( Lee et al. 2018McIntyre et al. 2019a )。無論是抗微生物、抗發炎或代謝治療本身,它們似乎都會對情緒產生二次影響( Amodeo 等人,2017 年Berk 等人,2019 年Foster 和 McVey Neufeld,2013 年Maalouf 等人,2009 年)。因此,研究該領域如何利用系統療法並將其轉化為經過驗證的治療方案已成為最近幾項研究的重點( McIntyre 等人,2019b )。具體來說,改變新陳代謝似乎是一種透過影響大腦功能並最終影響情緒和行為來針對重度憂鬱症多系統表現的策略。在各種代謝策略中,飲食可能成為重度憂鬱症患者一種新的、有效的、負擔得起的治療選擇( Firth et al. 2019Gibson-Smith et al. 2019Vaghef-Mehrabany et al. 2019 )。

The ketogenic diet (KD) is a high-fat, low-carbohydrate based eating schedule (Gasior et al. 2006). A classic KD regiment follows a 4:1 ratio of fat to non-fat food sources (Seo et al. 2007). As the body begins to exhaust its glycogen stores due to a lack of carbohydrate intake, the rate of fatty acid metabolism increases, and the concentration of ketone bodies, produced by the liver, begins to also increase in the blood (Boison 2017). Acetoacetate and beta-hydroxybutryic acid (BHB) are two common ketone bodies measured clinically (Boison 2017). Ketosis can be defined as 24 h of ketonuria, or when the acetoacetate and BHB levels in serum are above 0.5 mm/L (Harvey et al. 2018), although the most common way to measure adherence to KD is by using ketonuria levels (Hartman and Vining, 2007).

To date, KD has secured an important role in the therapeutic arsenal for the treatment of epilepsy. KD has shown to be effective in reducing, if not eliminating, seizure frequency in humans and animal models (Bostock et al. 2017). The mechanism by which KD may improve symptoms in epilepsy has yet to be fully understood; some have hypothesized the role of cellular energetics, membrane physiology, and cell signaling molecules (Barañano and Hartman 2008). In addition, preliminary psychiatric and oncological research has suggested that KD could be useful in improving outcomes for neurodegenerative diseases and cancer (Barañano and Hartman 2008). KD could be involved in reducing amyloid beta plaques in Alzheimer's disease, reducing dopaminergic degeneration in the substantia nigra in Parkinson's disease, and reducing tumor growth in some cancers (Barañano and Hartman 2008). In addition, it has been hypothesized that most cancer cells preferentially use glucose as an energy source, and do not seem to grow as effectively with ketones (Barañano and Hartma 2008).

Recent evidence suggests that KD has a pleotropic effect on cell energetics, neurotransmitter levels, inflammation, and gut microbiota (GM); each of these effects fall in line within a particular avenue of existing MDD research (Amodeo et al. 2017; Barañano and Hartman 2008; Gardner and Boles 2008; Olson et al. 2018). Using a combination of epilepsy, physiology, and mood disorder research in animals and humans, several hypotheses have arisen regarding KD's effect on the brain and MDD. This review will provide a framework for the role of KD as a potential treatment of MDD; its putative mechanisms of action with respect to improving mood and depressive symptoms; and will explore the state of the field at the moment, highlighting areas of improvement and needs moving forward.

Methods

A comprehensive review of the literature was conducted in the following databases: PubMed, Scielo, and Cochrane Library, combining the terms through the Boolean operators (OR and AND) and using the following terms: “ketogenic diet”, “ketosis”, “diet”, “behavior”, “cognition”, “mood”, "brain”, “epilepsy”, “depression”, “MDD”.

Clinical and neurobiological overlap between depression and epilepsy

Depression and epilepsy are highly comorbid and interrelated, with up to 30% of epilepsy patients being affected by MDD, compared to a much lower (10%) prevalence of MDD in the general population (Błaszczyk and Czuczwar 2016). Other mood disorders, like anxiety and bipolar disorder, have also been investigated in their relationship with epilepsy (Brandt and Mula 2016; Knott et al. 2015). Research has drawn similarities between possible causes of mental disorders and epilepsy at the neural, metabolic, immune, and genetic levels. Both MDD and epilepsy have common cortical structure dysfunction in the hippocampus, neural pathway hyperactivity, and neurotransmitter imbalances involving Gamma Aminobutyric Acid (GABA) and glutamate (Błaszczyk and Czuczwar 2016). Mitochondrial stress and damage can result in both an increased susceptibility to seizures and mood disorder symptomology (Patel 2004; Tobe 2013). Inflammatory markers are overexpressed in both conditions. These interfere with neurotransmitter production and trigger stress pathway overactivity, leading to a brain more susceptible to seizures and depressive symptoms (Mazarati et al. 2017). Finally, initial data suggests a genetic link between temporal lobe epilepsy (TLE) and depression at the Tyrosine Receptor Kinase B (NTRK2) gene (Torres et al. 2017).

Understanding how these diseases co-occur may contribute to more accurate, timely diagnoses and better outcome management (Table 1). Depressive and anxiety symptoms may before, during, and after seizures in patients. Anxiety and stress specifically, is one of the most commonly patient-reported precipitants of seizures (Sperling et al. 2008). They can also be a manifestation of the seizure itself, as in temporal lobe epilepsy, or as a physical or cognitive reaction after the episode. Patients may present as depressed immediately after a seizure due to reactive neural activity inhibition in the frontal lobes (Błaszczyk and Czuczwar 2016). On the other hand, patients can present with affect changes in between seizures and ultimately receive the diagnosis of MDD (Błaszczyk and Czuczwar 2016). Specific tools have been developed to look at mood in those with epilepsy, like the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) (Gill et al. 2017). Treatment wise, the toxic effects of valproic acid on the mitochondria may even be a potential link between epilepsy patients and MDD development (Silva et al. 2008). Mitochondrial dysfunction has been proposed as a cause of MDD after post-mortem patient investigations (Allen et al. 2018). Although these studies look at genetic causes of mitochondrial dysfunction, valproic-acid induced toxicity could also be considered as a potential etiological link between epilepsy and MDD in patients.
了解這些疾病如何同時發生可能有助於更準確、及時的診斷和更好的結果管理(表 1 )。患者在癲癇發作之前、期間和之後可能會出現憂鬱和焦慮症狀。具體來說,焦慮和壓力是患者報告的最常見的癲癇發作誘因之一( Sperling et al. 2008 )。它們也可能是癲癇發作本身的表現,如顳葉癲癇,或是發作後的身體或認知反應。由於額葉反應性神經活動​​抑制,患者可能在癲癇發作後立即表現出憂鬱( Błaszczyk 和 Czuczwar 2016 )。另一方面,患者可能會在癲癇發作之間出現情緒變化,並最終被診斷為 MDD( Błaszczyk 和 Czuczwar 2016 )。已經開發出專門的工具來觀察癲癇患者的情緒,例如癲癇神經疾病憂鬱量表 (NDDI-E)( Gill 等人,2017 年)。在治療方面,丙戊酸對粒線體的毒性作用甚至可能是癲癇患者與 MDD 發展之間的潛在關聯( Silva 等人,2008 )。在對患者進行屍檢調查後,粒線體功能障礙被認為是 MDD 的一個原因( Allen et al. 2018 )。儘管這些研究著眼於粒線體功能障礙的遺傳原因,但丙戊酸誘導的毒性也可以被認為是患者癲癇和重度憂鬱症之間的潛在病因聯繫。

Table 1: 表1:

Outlining the similarities between epilepsy and MDD.
概述癲癇和 MDD 之間的相似之處。

Mood disorders 情緒障礙Epilepsy 癲癇
Causes 原因Cortical structure pathology (e. g., Hippocampus)
皮質結構病理學(例如海馬)


Neural hyperactivity 神經過度活躍

Imbalances in neurotransmitter levels (e. g., Glu and GABA)
神經傳導物質水平失衡(例如 Glu 和 GABA)


Genes 基因
Course 課程Cellular stress 細胞壓力

Mitochondrial damage 粒線體損傷

Inflammation 發炎
Comorbidity 合併症General MDD prevalence: ∼10%
一般 MDD 盛行率:∼10%


MDD prevalence in those with epilepsy: ∼30%
癲癇患者的 MDD 盛行率:∼30%
Immunological, cardiovascular, neurological, and metabolic conditions
免疫、心血管、神經和代謝疾病
Common treatments 常見治療方法Psychotherapy: CBT 心理治療:認知行為治療

Pharmacotherapy: SSRIs + anticonvulsants
藥物治療:SSRIs+抗驚厥藥

The characterization of epilepsy, similarly to MDD, has also been migrating from a brain illness to a multi-system condition. For example, both patient populations seem to be at risk for sudden cardiac death (Bauer et al. 2015; Shi et al. 2017). MDD and epilepsy seem to influence the risk, severity, and outcomes of several endocrine, immune, cardiovascular, and metabolic diseases. Studies have found an association between epilepsy and autoimmune conditions like rheumatoid arthritis, cardiovascular events like stroke, and metabolic conditions like hypertriglyceridemia (Nair et al. 2016; Ong et al. 2014; Shmuely et al. 2017; Yuen et al. 2018). MDD has been associated with comorbidities in each of these systems as well (Benros et al. 2013; Ghanei Gheshlagh et al. 2016; Lespérance et al. 2002; Mezuk et al. 2008). The co-presentation of neurological and systemic conditions argues against single-system oriented treatments. If these diseases affect the whole body, so should the treatments.
與MDD類似,癲癇的特徵也已從腦部疾病轉變為多系統疾病。例如,這兩個患者群體似乎都面臨心臟猝死的風險( Bauer 等人,2015 年Shi 等人,2017 年)。 MDD 和癲癇似乎會影響多種內分泌、免疫、心血管和代謝疾病的風險、嚴重程度和結果。研究發現癲癇與類風濕性關節炎等自體免疫疾病、中風等心血管事件以及高三酸甘油脂血症等代謝性疾病之間存在關聯( Nair 等人,2016 年Ong 等人,2014 年Shmuely 等人,2017 年Yuen 等人,2018 年)。 MDD 也與這些系統的合併症有關( Benros 等人,2013 年Ghanei Gheshlagh 等人,2016 年Lespérance 等人,2002 年Mezuk 等人,2008 年)。神經系統疾病和全身性疾病的共同表現反對單一系統的治療。如果這些疾病影響全身,治療也應該如此。

There seems to be overlap in the efficacy of treatments between disorders as well. Psychotherapies and pharmacologic treatments/programs that specifically target mood are being developed and implemented for epilepsy patients (Błaszczyk and Czuczwar 2016). Neurotransmitter levels are common targets of anti-epileptics and anti-depressants (Kanner 2003). Both selective serotonin reuptake inhibitors (SSRIs), used for depression, and anti-convulsants like valproic acid, used for epilepsy, increase 5-HTT concentrations in the synapse (Baf et al. 1994; Blier and de Montigny 1994). Valproic acid, specifically, has been shown to have mood stabilizing properties (Chiu et al. 2013). Other anti-convulsant drugs target the vagus nerve to stimulate locus coeruleus production of norepinephrine (NE), another common neurotransmitter targeted by serotonin and norepinephrine reuptake inhibitors (SNRIs) (Roosevelt et al. 2006; Sansone and Sansone 2014). Both drug classes have been suggested to affect inflammation, and SSRIs may also lower seizure thresholds (Błaszczyk and Czuczwar 2016; Rapoport and Bosetti 2002; Zou et al. 2018). Overall, common treatment pathways may affect symptomology in both disorders in similar ways.

Depression and epilepsy are highly co-involved at the etiological, diagnostic, treatment, and outcome levels. A deeper understanding of the pathophysiology of one of these illnesses can elucidate new avenues of research for the other. Likewise, integrating treatment options could be useful. The benefits of KD for the management of epilepsy have been demonstrated and replicated (D'Andrea Meira et al. 2019). Understanding how KD improves epilepsy and mood outcomes, and by association, depression, will pave the way for future research and clinical trials.

Effect of KD in mood: evidence from animal and human studies

Mood dysregulation and anhedonia are core characteristic features of MDD. Little is known about the direct effect of KD on mood in MDD and other psychiatric disorders, as few studies have purely evaluated those outcomes. Several animal studies have investigated KD in depression model mice, and the research in humans has generally evaluated mood as a secondary outcome to seizure recurrence. KD has been found to impact each domain of depression: physical, emotional, and cognitive.

Exploring animal models

Animal models have demonstrated the success of KD in the physical and emotional domains. Behaviorally, researchers sought to investigate whether KD could replicate the effects of antidepressants. When given KD, compared to control diet, depressed mice spent less time immobile during the Porsolt test, a learned-helplessness based behavioral assessment where time spent immobile is positively associated with depressive symptomology in mice (Murphy et al. 2004). Mice given anti-depressants exhibit a similar behavioral profile (Murphy et al. 2004). With respect to emotionality, another mouse study found that ketone supplementation alone resulted in decreased anxious behavior during the elevated plus maze, where mice can choose to spend time in either an open or closed arm (Ari et al. 2016). Open arms are meant to stimulate anxiousness, forcing mice with higher anxiety to stay in the closed arms (Ari et al. 2016). Mice supplemented with ketones spent more time in the open arms and less time in the closed arms compared to those on control diets (Ari et al. 2016). KD may have both mood boosting and anxiolytic properties.

KD promotes long-lasting neural changes as well. Intra-uterine exposure alone to KD appears to have an impact on brain development and on both the behavioral and emotional domains of depression (Sussman et al. 2015). Those mice whose mothers were on KD during gestation exhibited less anxiety-like behaviors in the open field test, greater resilience in the forced swim test, and were more physically active than their control diet counterparts. It is important to note that both groups were given standard diet postnatally. These neural changes must have occurred during gestation while the mother was on KD and have sustained throughout the lifespan. A recent study has also looked at non-neuronal changes in rat brains and found that glia undergo morphological changes, especially with respect to branching, in the hippocampi of KD-fed mice compared to control (Gzielo et al. 2019). More needs to be done to investigate how these morphological changes translate into effects on neuronal function, and by extension, behavioral and psychological outcomes. Therefore, while KD may both improve depressive and anxiety-like behaviors in the short term, it could also be restructuring cellular networks, leading to sustained biological changes in the long term.

Clinical

A Cochrane review on epilepsy patients found that KD affected all three domains of psychopathology; patients exhibited less anxiety (emotional), decreased seizure frequency (physical), and greater functioning (cognitive) (Martin-McGill et al. 2018). A recent RCT in epilepsy has concluded that KD can improve mood, functioning, and decrease anxiety independent of seizure control (IJff et al. 2016). It should be noted, though, that the relief from seizure symptomology may be a mediator of the relationship of KD and mood improvement. More research in this area, specifically with patients only suffering from MDD and other mood disorders, will help elucidate this relationship. For example, preliminary case reports in bipolar disorder have reported improved mood in patients lasting up to two years at time of publication (Phelps et al. 2013).

Whether KD can result in the same benefits independent of the presence of a diagnosis of a mental illness is still a subject of debate. Two published studies in healthy individuals have shown contrasting results. Where one study found improvement in mood, another found no significant difference in mood scores between groups (Iacovides et al. 2019). Of note, though, is that McClernon et al. (2007) had participants diet for 24 weeks and found an effect, while Iacovides et al. (2019)'s intervention lasted only three weeks. Whether these timeline differences are of importance is a subject of further investigation. Elucidating how KD exerts its effects would be helpful to guide future research endeavors within each domain of MDD; KD could become part of the portfolio of treatments available to be considered by clinicians and discussed/reviewed with patients (Table 1).

Potential mechanisms of action

KD and neurotransmitters

Current views on etiology and treatment of mood disorders largely emphasise the role of neurotransmitter regulation (Delgado 2000; Hirschfeld 2000). Conceptualizing depression simply as a decrease in monoamine levels could certainly be an oversimplification of this condition. Current pharmacologic treatments like SSRIs are based on the monoamine hypothesis and aim to increase serotonin levels - for example, by inhibiting its reuptake from the synapse (Dupuy et al. 2011). However, only 30% of patients respond to first line treatments, thus simply raising neurotransmitter concentrations in the synapse may not be sufficient to treat MDD (Sinyor et al. 2010). Recent theories have expanded such perspectives and highlight the fact that the same neurotransmitter may have different effects, depending on the receptor it binds (Werner and Coveñas 2010). For example, serotonin elicits an inhibitory effect when it binds 5HT1A receptors, and an excitatory effect upon 5HT2A binding (Carhart-Harris and Nutt 2017).

In their scoping review, Werner and Coveñas (2010) highlight that a combination of underactivity or overactivity in separate cognitive networks may be a better way of understanding the neural circuitry of depression. The default mode network (DMN), or brain areas active at rest, seems to be overactive and overconnected in the brain of those with MDD compared to healthy individuals (Raichle 2015; Whitfield-Gabrieli and Ford 2012). These interconnections may be at the root of the ruminative and moody phenotypes of a patient with MDD, especially since the DMN seems to be more connected with the affective mode network and limbic emotional processing areas in these patients (Palmer et al. 2015; Sheline et al. 2010). KD may be the intervention we need to alter the signaling along these different networks because of its broad effects across several neurotransmitter systems.

Many monoamine and amino acid neurotransmitters appear to be affected and play a role in the effect of KD on the brain. Rat studies have found that KD's effectiveness in epilepsy may be mediated by norepinephrine (Szot et al. 2001). NE inhibition is a common anti-convulsant mechanism. Rats on KD had seizure latencies of similar length to rats whose NE synthesis had been knocked out (Szot et al. 2001). Both groups had seizure latencies that were significantly longer than normal rats on regular chow (Szot et al. 2001). Since KD and NE KO mice had a similar behavioral phenotype, this suggests that KD has an inhibitory effect on norepinephrine transmission, effectively mimicking a common mechanism of action of anti-convulsants. SNRIs also target the norepinephrine system. This could elucidate another common pathway between the effectiveness of KD for epilepsy and its potential benefits in depression. One human study did not find norepinephrine metabolites change significantly in the KD group, emphasizing the need for further research (Dahlin et al. 2012).

Other human studies have suggested that dopamine, serotonin, and glutamate levels decrease in KD groups, while GABA levels increase (Dahlin et al., 2005, 2012; Juge et al. 2010). Dopamine, serotonin, and glutamate all have excitatory effects in the brain (Amato 2015; Ko and Strafella 2012). While typical antidepressants aim to raise monoamine levels, not all patients respond to this treatment (Khan and Brown 2015). By decreasing the levels of these excitatory neurotransmitters, KD may be an effective way of targeting the overactive affective networks elucidated in recent research. Research previously discussed in this review has highlighted the beneficial effects of KD on mood. Decreasing the amount of pathological neural hyperactivity between the DMN and limbic systems may be at the core of KD's mechanism of action.

The increase in GABA levels supports this hypothesis. Returning to the commonalities between depression and epilepsy, seizures are often characterized as the result of neural over-activity (Bromfield et al. 2006). Anti-convulsants target GABA to dampen this activity and reduce seizure incidence (Czapiński et al. 2005). Epileptic patients on KD have both a decrease in seizure activity and a large increase in GABA metabolites (Dahlin et al. 2005). This presents another way by which KD could return DMN activity among patients with MDD to normal levels. In the long term, through neuroplasticity, this could potentially target the over-connectivity also seen in the brains of those with MDD and lead to long-term change (Andrade and Rao 2010). By potentially targeting hyperactivity along maladaptive neural networks, KD may be working on the broader scale necessary for individuals whose depressive symptoms do not respond to current pharmacological options.
GABA 水準的增加支持了這個假設。回到憂鬱症和癲癇之間的共同點,癲癇發作通常被認為是神經過度活動的結果( Bromfield 等人,2006 )。抗驚厥藥物以 GABA 為標靶來抑制這種活性並減少癲癇發作( Czapiński 等,2005 )。服用生酮飲食的癲癇患者癲癇發作活動減少,但 GABA 代謝物大量增加( Dahlin 等,2005 )。這提供了 KD 可以使 MDD 患者的 DMN 活性恢復到正常水平的另一種方法。從長遠來看,透過神經可塑性,這可能會針對重度憂鬱症患者大腦中出現的過度連接,並導致長期變化( Andrade 和 Rao 2010 )。透過潛在地針對適應不良神經網路的過度活躍,KD 可能會在更廣泛的範圍內發揮作用,以治療那些憂鬱症狀對當前藥物選擇沒有反應的個體。

KD and cell energetics KD 和細胞能量學

Metabolic anomalies that are expressed in mood pathologies may constitute a potential link between cell energetics and MDD (Allen et al. 2018). In humans, Fattal et al. (2006) found 19 different case reports of patients with mitochondrial diseases co-presenting with psychiatric illness. Mitochondrial disorder modeling in mice seems to induce behavior indicative of mood dysfunction (Kasahara et al. 2006). In another animal model, in which depression was induced using a chronic stress paradigm, rats developed a reduced craving for sweet food (the rodent form of anhedonia) (Rezin et al. 2008). The researchers found that the depressed rat brains had complex I, III, and IV of the electron transport chain inhibited in the cortex and cerebellum (Rezin et al. 2008). These studies propose a bidirectional relationship between mitochondrial function and mood. KD could capitalize on this relationship through mitochondrial-mediated improvements in mood.

Targeting the mitochondrial can have an impact on mood. The use of N-acetylcysteine (NAC) in mood disorder patients is especially promising (Berk et al. 2019). NAC has been shown to be neuroprotective while targeting mitochondrial-based energy defects (Banaclocha 2001). In aging mice, NAC administration resulted in increased complex IV and oxidative phosphorylation activity (Martínez Banaclocha 2000). Its antioxidant properties reduce reactive oxygen species (ROS) production and inhibit subsequent damage to the cell and mitochondria (Halasi et al. 2013). When NAC was given to bipolar and patients with MDD over 16 weeks, significant improvements in symptoms were found (Berk et al. 2019). This illustrates the potential benefits of KD in treating psychiatric illness at the metabolic level.

Studies in mice have found that KD directly affects cellular energetics. After following KD for 33–58 h, the brain undergoes a metabolic ‘switch’ from glucose to ketone metabolites as its main energy source (Harvey et al. 2018). BHB, the major ketone metabolite, has been attributed as the main player in the resulting cellular changes (Maalouf et al. 2009). BHB targets the mitochondria and renders it more resilient to stress by increasing glutathione levels, a known antioxidant, reducing its production of ROS, and increasing UCP expression (Jarrett et al. 2008). During ATP production, protons leak into the mitochondrial matrix through the inner membrane. UCPs interfere with this process and decrease ROS production. Therefore, similar to NAC, ketone bodies reduce ROS production by increasing UCP levels (Sullivan et al. 2004). This all leads to a net increase in mitochondrial biogenesis, greater cellular respiration, and higher ATP production rates (Hasan-Olive et al. 2019; Sullivan et al. 2004). KD's neuroprotective properties decrease ROS production, raise antioxidant levels, and stimulate mitochondrial biogenesis (Bough and Rho 2007; Hasan-Olive et al. 2019; Sullivan et al. 2004). Not only do mood and metabolic disorders often co-present but improving mitochondrial health may have an impact on mood as well. KD's neuroprotective properties could help reduce cellular stress on the mitochondria, and in doing so, alleviate symptoms of MDD.

KD and inflammation

Although still relatively in its early stages of investigation, current research has found inflammatory markers to be abnormally high in depressed brains (Amodeo et al. 2017; Barnes et al. 2017; Zou et al. 2018). In fact, a bidirectional association has been found between inflammatory disorders and depression, where a patient is at increased risk for one by having the other (Amodeo et al. 2017). A similar relationship has been found in their respective treatments. Anti-inflammatories like NSAIDs seem to improve depressive symptoms in patients with MDD, while antidepressants have been shown to reduce inflammatory marker levels in the same patient population (Anglin et al. 2015; Hannestad et al. 2011). Therefore, if KD reduces inflammatory marker levels, this could potentially be another source for symptom improvement in patients with MDD.

Several animal studies have investigated KD's anti-inflammatory properties. Beginning from outside the brain, after being on KD for four weeks, rats that are exposed to painful stimuli seem to express less inflammatory blood markers than their normal chow counterparts (Ruskin et al. 2009). KD has been shown to decrease reactive inflammatory marker expression in the brain after an external insult (Dupuis et al. 2015). Other researchers have simulated inflammatory disease states in animal brains, be it in MPTP mice models of Parkinson's disease (PD) or encephalomyelitis mice models, and reported that KD significantly reduced inflammatory markers and improved disease phenotype (Kim et al. 2012; Yang and Cheng 2010). It is suggested that the BHB metabolite of KD may be the mediator of the neuroprotective effects of KD by lowering IL1B, IL6, TNF-α, and other chemo and cytokine levels (Yang and Cheng 2010). These are the same markers involved in depression that KD may be targeting, therefore leading to the improvements in mood symptoms (Amodeo et al. 2017).

Inflammation has also been attributed as a potential source of epilepsy and seizure propagation (Mazarati et al. 2017; Vezzani et al. 2011). Thus, the mediation of inflammatory pathways could be another path by which KD potentially improves one disease state and subsequently impacts the other. In an epilepsy mouse model, KD inhibited pro-inflammatory marker increases during kainic acid (KA) induced seizure trials when compared to control diet mice (Jeong et al. 2011). The authors reported markedly diminished levels in TNF-α, NF-κB, and COX2 levels in the KD mice, each of which has been implicated in excitotoxicity and neuronal cell death in the context of epilepsy (Jeong et al. 2011).

The extent to which KD modulates inflammatory signaling in depression is still an open question - both in humans and in animal models. The immune system seems to have a role in both the etiology and treatment of depression. Specifically, increases in cyto- and chemokine levels could be a potential mediator of the pathology seen in depressed brains. Research has shown that KD can dampen pathological inflammatory responses in epilepsy and neurodegenerative diseases in animal models. The investigation of the effects of KD on inflammatory markers in depression is long overdue – particularly their contribution to the improvements in depressive traits observed so far with the adoption of KD.

KD and the microbiome

The link between the brain and the GM that inhabit the digestive system is growing stronger with recent evidence in psychiatric and neurological research (Thomas et al. 2017). Human and animal studies have found differences in the abundance and diversity of GM in those with clinical disorders, including MDD (Foster and McVey Neufeld 2013). The families of bacteria that are more predominant over others in the gut can impact mood and inflammation in the body (Dinan and Cryan 2017; Foster and McVey Neufeld 2013). A patient's diet, medications, and disease status can also have a reciprocal impact on the GM (Cresci and Bawden 2015). This bidirectional relationship is important when considering KD and its impact on MDD, potentially through GM changes. Human and animal studies show that KD alters the microbiome by: 1) reducing diversity, 2) reducing abundance, and 3) altering the composition (Newell et al. 2016).

Moods induced GM changes, and vice versa. When mice are exposed to chronic stress, their GM changes in comparison to healthy controls (Bailey et al. 2011). These mice exhibit a larger abundance of Clostridium and less Bacteroides than their non-stressed counterparts (Bailey et al. 2011). Similarly, in humans, GM analysis has found a significantly decreased representation of the Bacteroidales class in individuals with MDD compared to healthy controls. These studies suggest that both external and internal conditions can alter GM, leading to the hypothesis that successful treatments that remedy these conditions may also have a positive impact on GM.

The anti-microbial properties of SSRIs have an impact on GM (Lukić et al. 2019; Macedo et al. 2017). Researchers suggest that changing the dominant bacterial profiles in the gut modulates inflammatory pathways, and in turn supports the hypothesis that inflammation may play an important role in mental health. Jiang et al. (2015) compared the GM between healthy controls, MDD patients who responded to treatment, and MDD patients who continued to have active depressive symptoms. The actively depressed group saw a greater representation of Enterobacteriaceae and Fusobacterium and less Bacteroidaceae in their GM when compared to controls. Conversely, those with MDD that were responsive to treatment exhibited higher levels of Bacteriodetes and Proteobacteria compared to controls. Both MDD groups had less Lachnospiraceae and Ruminococcaceae representation in their GM than control. The authors conclude that certain bacterial profiles, like higher Bacteriodetes levels, may serve as a useful biomarker for patients that will respond well to treatment.

These results are supported in the epilepsy literature that focused on the effects of KD on GM and treatment response. The link between GM and epilepsy can be seen when chronic stress paradigm-induced GM changes affects mouse model susceptibility to seizure kindling and propagation (Medel-Matus et al. 2018). These effects carry forward when transplanting the GM from stress to non-stress mice (Medel-Matus et al. 2018). The latest research in mice has found that KD can reduce seizure thresholds compared to control diets (Olson et al. 2018). Further, transplanting KD GM into germ free (GF) mice transfers the resilience to seizure activity as well. This is promising research that suggests the GM to be a crucial component of KD's mechanism of action in epilepsy, and perhaps in other brain disorders as well.

Several studies have investigated the effect of KD on the GM in epilepsy patients taking anti-convulsants. Healthy controls consistently exhibit higher levels of the Bacteroides genus compared to epilepsy patients (Spinelli and Blackford 2018; Xie et al. 2017; Zhang et al. 2018). Cronobacter, Clostridiales, Clostridium, and Ruminococcaceae populations are higher in patients compared to controls before KD (Spinelli and Blackford 2018; Xie et al. 2017; Zhang et al. 2018). Patients are classified as either treatment responders or non-responders after treatment with KD. Patients that respond to KD develop GM profiles that are more similar to healthy controls by decreasing their expression of the bacteria previously mentioned and increasing their representation of Bacterioides. Meanwhile, KD non-responders saw an increase in their expression of Clostridiales, Ruminococcaceae, and Lachnospiraceae.

Across the epilepsy and mood research, it seems that greater expression of Bacterioides and Bacteroidetes in the GM leads to better mental health outcomes. Further, KD appears to specifically increase the levels of these bacteria in those patients that respond to treatment. Researchers suggest that Bacteroides levels could be a useful biomarker to monitor treatment response. If MDD patients that respond to treatment typically have higher levels of Bacteroides, and KD increases Bacteroides levels in patients, future research should investigate whether a direct link exists between KD, GM, and depression outcomes in patients. KD is a metabolic intervention whose impact on GM levels and bacterial representation could have a positive impact on those with treatment-refractory MDD (See Figures 1 and 2).

Figure 1: Illustrating the current understanding of the potential effects of KD on MDD. RDoC, or Research Domain Criteria, is a framework created by the NIH that characterizes the features of mental illnesses and helps guide research efforts in the field (“NIMH 2008 » Research Domain Criteria (RDoC),” n.d.).
Figure 1:

Illustrating the current understanding of the potential effects of KD on MDD. RDoC, or Research Domain Criteria, is a framework created by the NIH that characterizes the features of mental illnesses and helps guide research efforts in the field (“NIMH 2008 » Research Domain Criteria (RDoC),” n.d.).

Figure 2: The changing focus of psychiatric treatments over time.
Figure 2:

The changing focus of psychiatric treatments over time.

Conclusion and future directions

KD has secured a spot in the treatment armamentarium for the management of epilepsy. Epilepsy is a neurological disorder, but similar to depression, seems to affect and be affected by several systems in the body. Both disorders can present with inflammation, changes in microbiota, and metabolic alterations. They often co-occur; if they do not, having one predisposes an individual to develop the other, and vice versa. Thus, it is plausible to consider cross-referencing effective treatments across disorders, giving clinicians and researchers an opportunity to try new, previously unconsidered, therapeutic options.

KD's multi-system impact could be helpful for the new, broader, conceptualization of depression. This review has outlined KD's effects on the gut, neural cell signaling molecules, the immune system, and cell energetics. Evidence of its effects on epilepsy and mood in each of these modalities holds promise for its effects in MDD.

Nevertheless, the field of KD and depression remains largely untapped. The evidence suggests that human trials explicitly investigating KD and depression are warranted. These trials need to be controlled while monitoring the response of the physiological systems outlined in this review. Metabolism levels, cell signaling markers, and GI colonization should be evaluated and compared to controls in order to elucidate whether KD could be just as effective for MDD as it has been for epilepsy. Furthermore, since KD affects neurochemistry and metabolic activity, brain imaging, particularly functional magnetic resonance imaging (fMRI), could be a new and advantageous avenue of exploration with KD. In conclusion, KD has emerged as a promising, novel therapeutic option for patients with MDD but still requires rigorous scientific studies before its dissemination and acceptability in clinical practice.


Corresponding author: Elisa Brietzke, Department of Psychiatry, Queen's University School of Medicine, 752 King Street West, K7L7X3, Kingston, ON, Canada; Kingston General Hospital, Kingston, ON, Canada; and Centre for Neuroscience Studies (CNS), Queen's University, Kingston, ON, Canada, 75 Stuart St., Kingston, ON, K7L 2V7, Canada, E-mail:

Funding source: Queen's University- School of Medicine

About the authors

Alessandro Ricci

Mr. Alessandro Ricci is a second year student in the Faculty of Medicine of Queen's University. He is especially interested in projects involving cognition, mood and new interventions in Psychiatry.

Maia A. Idzikowski

Ms. Maia A. Idzikowski is a second year medical student at Queen's University, and completed undergraduate studies in the Queen's University Accelerated Route to Medicine (QuARMS) Program. Throughout the past year, she has been involved in several projects in the fields of psychiatry and anesthesiology.

Claudio N. Soares

Dr. Claudio N. Soares is professor and head full professor and head of the Department of Psychiatry at Queen's University.

Elisa Brietzke

Elisa Brietzke, MD, PhD, is psychiatrist and professor at the Department of Psychiatry at Queen's University.

References

Allen, J., Romay-Tallon, R., Brymer, K.J., Caruncho, H.J., and Kalynchuk, L.E. (2018). Mitochondria and mood: mitochondrial dysfunction as a key player in the manifestation of depression. Front. Neurosci. 12: 386, https://doi.org/10.3389/fnins.2018.00386.Search in Google Scholar

Amato, D. (2015). Serotonin in antipsychotic drugs action. Behav. Brain Res. 277: 125–135, https://doi.org/10.1016/j.bbr.2014.07.025.Search in Google Scholar

Amodeo, G., Trusso, M.A., and Fagiolini, A. (2017). Depression and inflammation: disentangling a clear yet complex and multifaceted link. Neuropsychiatry 7: 448–457, https://doi.org/10.4172/neuropsychiatry.1000236.Search in Google Scholar

Andrade, C. and Rao, N.S.K. (2010). How antidepressant drugs act: a primer on neuroplasticity as the eventual mediator of antidepressant efficacy. Indian J. Psychiatr. 52: 378–386, https://doi.org/10.4103/0019-5545.74318.Search in Google Scholar

Anglin, R., Moayyedi, P., and Leontiadis, G.I. (2015). Anti-inflammatory intervention in depression. JAMA Psychiatr. 72: 512–512, https://doi.org/10.1001/jamapsychiatry.2014.3246.Search in Google Scholar

Ari, C., Kovács, Z., Juhasz, G., Murdun, C., Goldhagen, C.R., Koutnik, A. P., and D'Agostino, D.P. (2016). Exogenous ketone supplements reduce anxiety-related behavior in Sprague-Dawley and Wistar Albino Glaxo/Rijswijk Rats. Front. Mol. Neurosci. 9: 137, https://doi.org/10.3389/fnmol.2016.00137.Search in Google Scholar

Baf, M.H., Subhash, M.N., Lakshmana, K.M., and Rao, B.S. (1994). Sodium valproate induced alterations in monoamine levels in different regions of the rat brain. Neurochem. Int. 24: 67–72, https://doi.org/10.1016/0197-0186(94)90130-9.Search in Google Scholar

Bailey, M.T., Dowd, S.E., Galley, J.D., Hufnagle, A.R., Allen, R.G., and Lyte, M. (2011). Exposure to a social stressor alters the structure of the intestinal microbiota: Implications for stressor-induced immunomodulation. Brain Behav. Immun. 25: 397–407, https://doi.org/10.1016/j.bbi.2010.10.023.Search in Google Scholar PubMed PubMed Central

Banaclocha, M.M. (2001). Therapeutic potential of N-acetylcysteine in age-related mitochondrial neurodegenerative diseases. Med. Hypotheses. 56: 472–477, https://doi.org/10.1054/mehy.2000.1194.Search in Google Scholar PubMed

Barañano, K.W. and Hartman, A.L. (2008). The ketogenic diet: Uses in epilepsy and other neurologic illnesses. Curr. Treat. Options Neurol. 10: 410–419, https://doi.org/10.1007/s11940-008-0043-8.Search in Google Scholar PubMed PubMed Central

Barnes, J., Mondelli, V., and Pariante, C.M. (2017). Genetic contributions of inflammation to depression. Neuropsychopharmacology 42: 81–98, https://doi.org/10.1038/npp.2016.169.Search in Google Scholar

Bauer, P.R., Novy, J., Keezer, M.R., and Bell, G. S. (2015). Sudden cardiac death is associated both with epilepsy and with use of antiepileptic drugs. Heart 101: 83–83, https://doi.org/10.1136/heartjnl-2014-306760.Search in Google Scholar

Benros, M.E., Waltoft, B.L., Nordentoft, M., Østergaard, S.D., Eaton, W.W., Krogh, J., and Mortensen, P.B. (2013). Autoimmune diseases and severe infections as risk factors for mood disorders: a nationwide study. JAMA Psychiatr. 70: 812–820, https://doi.org/10.1001/jamapsychiatry.2013.1111.Search in Google Scholar

Berk, M., Turner, A., Malhi, G.S., Ng, C.H., Cotton, S.M., Dodd, S., Samuni, Y., Tanious, M., McAulay, C., Dowling, N., et al. (2019). A randomised controlled trial of a mitochondrial therapeutic target for bipolar depression: mitochondrial agents, N-acetylcysteine, and placebo. BMC Med. 17: 18, https://doi.org/10.1186/s12916-019-1257-1.Search in Google Scholar

Błaszczyk, B. and Czuczwar, S.J. (2016). Epilepsy coexisting with depression. Pharmacol. Rep. 68: 1084–1092, https://doi.org/10.1016/j.pharep.2016.06.011.Search in Google Scholar

Blier, P. and de Montigny, C. (1994). Current advances and trends in the treatment of depression. Trends Pharmacol. Sci. 15: 220–226, https://doi.org/10.1016/0165-6147(94)90315-8.Search in Google Scholar

Boison, D. (2017). New insights into the mechanisms of the ketogenic diet. Curr. Opin. Neurol. 30: 187–192, https://doi.org/10.1097/wco.0000000000000432.Search in Google Scholar

Bostock, E.C.S., Kirkby, K.C., and Taylor, B.V.M. (2017). The current status of the ketogenic diet in psychiatry. Front. Psychiatr. 8: 43, https://doi.org/10.3389/fpsyt.2017.00043.Search in Google Scholar PubMed PubMed Central

Bough, K.J. and Rho, J.M. (2007). Anticonvulsant mechanisms of the ketogenic diet. Epilepsia 48: 43–58, https://doi.org/10.1111/j.1528-1167.2007.00915.x.Search in Google Scholar PubMed

Brandt, C. and Mula, M. (2016). Anxiety disorders in people with epilepsy. Epilepsy Behav. 59: 87–91, https://doi.org/10.1016/j.yebeh.2016.03.020.Search in Google Scholar PubMed

Bromfield, E.B., Cavazos, J.E., and Sirven, J.I. (2006). Basic mechanisms underlying seizures and epilepsy. American Epilepsy Society, Chicago.Search in Google Scholar

Bruce, M.L., Have, T.R.T., Iii, C.F.R., Katz, I.I., Schulberg, H.C., Mulsant, B.H., and Alexopoulos, G. S. (2004). Reducing suicidal ideation and depressive symptoms in depressed older primary care patients: a randomized controlled trial. JAMA 291: 1081–1091, https://doi.org/10.1001/jama.291.9.1081.Search in Google Scholar PubMed

Carhart-Harris, R. and Nutt, D. (2017). Serotonin and brain function: a tale of two receptors. J. Psychopharmacol. 31: 1091–1120, https://doi.org/10.1177/0269881117725915.Search in Google Scholar PubMed PubMed Central

Chi, S., Wang, C., Jiang, T., Zhu, X.C., Yu, J.T., and Tan, L. (2015). The prevalence of depression in Alzheimer's disease: a systematic review and meta-analysis [Text], Available at: Available at: https://www.ingentaconnect.com/content/ben/car/2015/00000012/00000002/art00010.Accessed (Accessed 3 July 2019).Search in Google Scholar

Chiu, C.T., Wang, Z., Hunsberger, J.G., and Chuang, D.M. (2013). Therapeutic potential of mood stabilizers lithium and valproic acid: Beyond bipolar disorder. Pharmacol. Rev. 65: 105–142, https://doi.org/10.1124/pr.111.005512.Search in Google Scholar PubMed PubMed Central

Cresci, G.A. and Bawden, E. (2015). Gut microbiome: what we do and don't know. Nutr. Clin. Pract. 30: 734–746, https://doi.org/10.1177/0884533615609899.Search in Google Scholar PubMed PubMed Central

Czapiński, P., Blaszczyk, B., and Czuczwar, S.J. (2005). Mechanisms of action of antiepileptic drugs. Curr. Top. Med. Chem. 5: 3–14, https://doi.org/10.2174/1568026053386962.Search in Google Scholar PubMed

Dahlin, M., Elfving, Å., Ungerstedt, U., and Åmark, P. (2005). The ketogenic diet influences the levels of excitatory and inhibitory amino acids in the CSF in children with refractory epilepsy. Epilepsy Res. 64: 115–125, https://doi.org/10.1016/j.eplepsyres.2005.03.008.Search in Google Scholar PubMed

Dahlin, M., Månsson, J.E., and Åmark, P. (2012). CSF levels of dopamine and serotonin, but not norepinephrine, metabolites are influenced by the ketogenic diet in children with epilepsy. Epilepsy Res. 99: 132–138, https://doi.org/10.1016/j.eplepsyres.2011.11.003.Search in Google Scholar PubMed

D'Andrea Meira, I., Romão, T.T., Pires do Prado, H.J., Krüger, L.T., Pires, M.E.P., and da Conceição, P.O. (2019). Ketogenic diet and epilepsy: what we know so far. Front. Neurosci. 13: 5, https://doi.org/10.3389/fnins.2019.00005.Search in Google Scholar PubMed PubMed Central

Delgado, P.L. (2000). Depression: the case for a monoamine deficiency. J. Clin. Psychiatr. 61: 7–11.Search in Google Scholar

Dinan, T.G. and Cryan, J.F. (2017). Gut-brain axis in 2016: Brain-gut-microbiota axis -- mood, metabolism and behaviour. Nat. Rev. Gastroenterol. Hepatol. 14: 69–70, https://doi.org/10.1038/nrgastro.2016.200.Search in Google Scholar PubMed

Dupuis, N., Curatolo, N., Benoist, J.F., and Auvin, S. (2015). Ketogenic diet exhibits anti-inflammatory properties. Epilepsia 56: e95–e98, https://doi.org/10.1111/epi.13038.Search in Google Scholar PubMed

Dupuy, J.M., Ostacher, M.J., Huffman, J., Perlis, R.H., and Nierenberg, A.A. (2011). A critical review of pharmacotherapy for major depressive disorder. Int. J. Neuropsychopharmacol. 14: 1417–1431, https://doi.org/10.1017/S1461145711000083.Search in Google Scholar PubMed

Fattal, O., Budur, K., Vaughan, A.J., and Franco, K. (2006). Review of the literature on major mental disorders in adult patients with mitochondrial diseases. Psychosomatics 47: 1–7, https://doi.org/10.1176/appi.psy.47.1.1.Search in Google Scholar PubMed

Firth, J., Veronese, N., Cotter, J., Shivappa, N., Hebert, J.R., Ee, C., Smith, L., Stubbs, B., Jackson, S.E., and Sarris, J. (2019). What is the role of dietary inflammation in severe mental illness? a review of observational and experimental findings. Front. Psychiatr. 10: 350, https://doi.org/10.3389/fpsyt.2019.00350.Search in Google Scholar PubMed PubMed Central

Foster, J.A. and McVey Neufeld, K.A. (2013). Gut–brain axis: How the microbiome influences anxiety and depression. Trends Neurosci. 36: 305–312, https://doi.org/10.1016/j.tins.2013.01.005.Search in Google Scholar PubMed

Gardner, A. and Boles, R.G. (2008). Mitochondrial energy depletion in depression with somatization. Psychother. Psychosom. 77: 127–129, https://doi.org/10.1159/000112891.Search in Google Scholar PubMed

Gasior, M., Rogawski, M.A., and Hartman, A.L. (2006). Neuroprotective and disease-modifying effects of the ketogenic diet. Behav. Pharmacol. 17: 431–439, https://doi.org/10.1097/00008877-200609000-00009.Search in Google Scholar PubMed PubMed Central

Ghanei Gheshlagh, R., Parizad, N., and Sayehmiri, K. (2016). The relationship between depression and metabolic syndrome: systematic review and meta-analysis study. Iran. Red Crescent Med. J. 18: e26523, https://doi.org/10.5812/ircmj.26523.Search in Google Scholar PubMed PubMed Central

Gibson-Smith, D., Bot, M., Brouwer, I.A., Visser, M., Giltay, E.J., and Penninx, B.W.J.H. (2019). Association of food groups with depression and anxiety disorders. Eur. J. Nutr. 59: 767–778, https://doi.org/10.1007/s00394-019-01943-4.Search in Google Scholar PubMed PubMed Central

Gill, S.J., Lukmanji, S., Fiest, K.M., Patten, S.B., Wiebe, S., and Jetté, N. (2017). Depression screening tools in persons with epilepsy: a systematic review of validated tools. Epilepsia 58: 695–705, https://doi.org/10.1111/epi.13651.Search in Google Scholar PubMed

Gzielo, K., Soltys, Z., Rajfur, Z., and Setkowicz, Z.K. (2019). The impact of the ketogenic diet on glial cells morphology. a quantitative morphological analysis. Neuroscience 413: 239–251, https://doi.org/10.1016/j.neuroscience.2019.06.009.Search in Google Scholar PubMed

Halasi, M., Wang, M., Chavan, T.S., Gaponenko, V., Hay, N., and Gartel, A.L. (2013). ROS inhibitor N-acetyl-L-cysteine antagonizes the activity of proteasome inhibitors. Biochem. J. 454: 201–208, https://doi.org/10.1042/bj20130282.Search in Google Scholar PubMed PubMed Central

Hannestad, J., DellaGioia, N., and Bloch, M. (2011). The effect of antidepressant medication treatment on serum levels of inflammatory cytokines: a meta-analysis. Neuropsychopharmacol 36: 2452–2459, https://doi.org/10.1038/npp.2011.132.Search in Google Scholar PubMed PubMed Central

Hartman, A.L. and Vining, E.P.G. (2007). Clinical aspects of the ketogenic diet. Epilepsia 48: 31–42, https://doi.org/10.1111/j.1528-1167.2007.00914.x.Search in Google Scholar PubMed

Harvey, C.J.D., Schofield, G.M., Williden, M., and McQuillan, J.A. (2018). The effect of medium chain triglycerides on time to nutritional ketosis and symptoms of keto-induction in healthy adults: a randomised controlled clinical trial. J. Nutr. Metab. 2018: 2630565, https://doi.org/10.1155/2018/2630565.Search in Google Scholar PubMed PubMed Central

Hasan-Olive, M.M., Lauritzen, K.H., Ali, M., Rasmussen, L.J., Storm-Mathisen, J., and Bergersen, L.H. (2019). A ketogenic diet improves mitochondrial biogenesis and bioenergetics via the PGC1α-SIRT3-UCP2 axis. Neurochem. Res. 44: 22–37, https://doi.org/10.1007/s11064-018-2588-6.Search in Google Scholar PubMed

Hirschfeld, R.M. (2000). History and evolution of the monoamine hypothesis of depression. J. Clin. Psychiatry. 61: 4–6.Search in Google Scholar

Iacovides, S., Goble, D., Paterson, B., and Meiring, R. M. (2019). Three consecutive weeks of nutritional ketosis has no effect on cognitive function, sleep, and mood compared with a high-carbohydrate, low-fat diet in healthy individuals: a randomized, crossover, controlled trial. Am. J. Clin. Nutr. 110: 349–357, https://doi.org/10.1093/ajcn/nqz073.Search in Google Scholar PubMed

IJff, D.M., Postulart, D., Lambrechts, D.A.J.E., Majoie, M.H.J.M., de Kinderen, R.J.A., Hendriksen, J.G.M., Evers, S.M.A.A., and Aldenkamp, A.P. (2016). Cognitive and behavioral impact of the ketogenic diet in children and adolescents with refractory epilepsy: a randomized controlled trial. Epilepsy Behav. 60: 153–157, https://doi.org/10.1016/j.yebeh.2016.04.033.Search in Google Scholar PubMed

Jarrett, S.G., Milder, J.B., Liang, L.P., and Patel, M. (2008). The ketogenic diet increases mitochondrial glutathione levels. J. Neurochem. 106: 1044–1051, https://doi.org/10.1111/j.1471-4159.2008.05460.x.Search in Google Scholar PubMed

Jeong, E.A., Jeon, B.T., Shin, H.J., Kim, N., Lee, D.H., Kim, H.J., Kang, S.S., Cho, G.J., Choi, W.S., and Roh, G.S. (2011). Ketogenic diet-induced peroxisome proliferator-activated receptor-γ activation decreases neuroinflammation in the mouse hippocampus after kainic acid-induced seizures. Exp. Neurol. 232: 195–202, https://doi.org/10.1016/j.expneurol.2011.09.001.Search in Google Scholar PubMed

Jiang, H., Ling, Z., Zhang, Y., Mao, H., Ma, Z., Yin, Y., Wang, W., Tang., W., Tan, Z., Shi, J., et al. (2015). Altered fecal microbiota composition in patients with major depressive disorder. Brain Behav. Immun. 48: 186–194, https://doi.org/10.1016/j.bbi.2015.03.016.Search in Google Scholar PubMed

Juge, N., Gray, J.A., Omote, H., Miyaji, T., Inoue, T., Hara, C., Uneyama, H., Edwards, R.H., Nicoll, R.A., and Moriyama, Y. (2010). Metabolic control of vesicular glutamate transport and release. Neuron 68: 99–112, https://doi.org/10.1016/j.neuron.2010.09.002.Search in Google Scholar

Kanner, A.M. (2003). Depression in epilepsy: Prevalence, clinical semiology, pathogenic mechanisms, and treatment. Biol. Psychiatr. 54: 388–398, https://doi.org/10.1016/s0006-3223(03)00469-4.Search in Google Scholar

Kasahara, T., Kubota, M., Miyauchi, T., Noda, Y., Mouri, A., Nabeshima, T., and Kato, T. (2006). Mice with neuron-specific accumulation of mitochondrial DNA mutations show mood disorder-like phenotypes. Mol. Psychiatr. 11: 577–593, 523, https://doi.org/10.1038/sj.mp.4001824.Search in Google Scholar PubMed

Khan, A. and Brown, W.A. (2015). Antidepressants versus placebo in major depression: an overview. World Psychiatr. 14: 294–300, https://doi.org/10.1002/wps.20241.Search in Google Scholar PubMed PubMed Central

Kim, D.Y., Hao, J., Liu, R., Turner, G., Shi, F.D., and Rho, J.M. (2012). Inflammation-mediated memory dysfunction and effects of a ketogenic diet in a murine model of multiple sclerosis. PLoS One 7: e35476, https://doi.org/10.1371/journal.pone.0035476.Search in Google Scholar PubMed PubMed Central

Knott, S., Forty, L., Craddock, N., and Thomas, R.H. (2015). Epilepsy and bipolar disorder. Epilepsy Behav. 52: 267–274, https://doi.org/10.1016/j.yebeh.2015.07.003.Search in Google Scholar PubMed

Ko, J.H. and Strafella, A.P. (2012). Dopaminergic neurotransmission in the human brain: new lessons from perturbation and imaging. Neuroscientist 18: 149–168, https://doi.org/10.1177/1073858411401413.Search in Google Scholar PubMed PubMed Central

Lee, Y., Subramaniapillai, M., Brietzke, E., Mansur, R.B., Ho, R.C., Yim, S.J., and McIntyre, R.S. (2018). Anti-cytokine agents for anhedonia: targeting inflammation and the immune system to treat dimensional disturbances in depression. Ther. Adv. Psychopharmacol. 8: 337–348, https://doi.org/10.1177/2045125318791944.Search in Google Scholar PubMed PubMed Central

Lespérance, F., Frasure-Smith, N., Talajic, M., and Bourassa, M.G. (2002). Five-year risk of cardiac mortality in relation to initial severity and one-year changes in depression symptoms after myocardial infarction. Circulation 105: 1049–1053, https://doi.org/10.1161/hc0902.104707.Search in Google Scholar PubMed

Lukić, I., Getselter, D., Ziv, O., Oron, O., Reuveni, E., Koren, O., and Elliott, E. (2019). Antidepressants affect gut microbiota and Ruminococcus flavefaciens is able to abolish their effects on depressive-like behavior. Transl. Psychiatr. 9: 133, https://doi.org/10.1038/s41398-019-0466-x.Search in Google Scholar PubMed PubMed Central

Maalouf, M., Rho, J.M., and Mattson, M.P. (2009). The neuroprotective properties of calorie restriction, the ketogenic diet, and ketone bodies. Brain Res. Rev. 59: 293–315, https://doi.org/10.1016/j.brainresrev.2008.09.002.Search in Google Scholar

Macedo, D., Filho, A.J.M.C., Soares de Sousa, C.N., Quevedo, J., Barichello, T., Júnior, H.V.N., and Freitas de Lucena, D. (2017). Antidepressants, antimicrobials or both? gut microbiota dysbiosis in depression and possible implications of the antimicrobial effects of antidepressant drugs for antidepressant effectiveness. J. Affect. Disord. 208: 22–32, https://doi.org/10.1016/j.jad.2016.09.012.Search in Google Scholar

Martínez Banaclocha, M. (2000). N-acetylcysteine elicited increase in complex I activity in synaptic mitochondria from aged mice: Implications for treatment of Parkinson's disease. Brain Res. 859: 173–175, https://doi.org/10.1016/s0006-8993(00)02005-9.Search in Google Scholar

Martin‐McGill, K.J., Jackson, C.F., Bresnahan, R., Levy, R.G., and Cooper, P.N. (2018). Ketogenic diets for drug‐resistant epilepsy. Cochrane Database Syst. Rev 11: CD001903, https://doi.org/10.1002/14651858.CD001903.pub4.Search in Google Scholar PubMed PubMed Central

Mazarati, A.M., Lewis, M.L., and Pittman, Q.J. (2017). Neurobehavioral comorbidities of epilepsy: Role of inflammation. Epilepsia 58: 48–56, https://doi.org/10.1111/epi.13786.Search in Google Scholar PubMed

McClernon, F.J., Yancy, W.S., Eberstein, J.A., Atkins, R.C., and Westman, E.C. (2007). The effects of a low-carbohydrate ketogenic diet and a low-fat diet on mood, hunger, and other self-reported symptoms. Obesity 15: 182–182, https://doi.org/10.1038/oby.2007.516.Search in Google Scholar PubMed

McIntyre, R.S., Rong, C., Mansur, R.B., and Brietzke, E. (2019a). Does obesity and diabetes mellitus metastasize to the brain? “Metaboptosis” and implications for drug discovery and development. CNS Spect. 24: 467–9, https://doi.org/10.1017/S1092852918001670.Search in Google Scholar PubMed

McIntyre, R.S., Subramaniapillai, M., Lee, Y., Pan, Z., Carmona, N.E., Shekotikhina, M., Rosenblat, J.D., Brietzke, E., Soczynska, J.K., Cosgrove, V.E., et al. (in press). (2019b). Efficacy of adjunctive infliximab vs placebo in the treatment of adults with bipolar i/ii depression: a randomized clinical trial. JAMA Psychiatr.10.1001/jamapsychiatry.2019.0779Search in Google Scholar PubMed PubMed Central

Medel-Matus, J.S., Shin, D., Dorfman, E., Sankar, R., and Mazarati, A. (2018). Facilitation of kindling epileptogenesis by chronic stress may be mediated by intestinal microbiome. Epilepsia Open 3: 290–294, https://doi.org/10.1002/epi4.12114.Search in Google Scholar PubMed PubMed Central

Mezuk, B., Eaton, W.W., Albrecht, S., and Golden, S.H. (2008). Depression and type 2 diabetes over the lifespan: a meta-analysis. Diabetes Care 31: 2383–2390, https://doi.org/10.2337/dc08-0985.Search in Google Scholar PubMed PubMed Central

Murphy, P., Likhodii, S., Nylen, K., and Burnham, W.M. (2004). The antidepressant properties of the ketogenic diet. Biol. Psychiatr. 56: 981–983, https://doi.org/10.1016/j.biopsych.2004.09.019.Search in Google Scholar PubMed

Nair, S.S., Harikrishnan, S., Sarma, P.S., and Thomas, S.V. (2016). Metabolic syndrome in young adults with epilepsy. Seizure 37: 61–64, https://doi.org/10.1016/j.seizure.2016.03.002.Search in Google Scholar PubMed

Newell, C., Bomhof, M.R., Reimer, R.A., Hittel, D.S., Rho, J.M., and Shearer, J. (2016). Ketogenic diet modifies the gut microbiota in a murine model of autism spectrum disorder. Mol. Autism. 7: 37, https://doi.org/10.1186/s13229-016-0099-3.Search in Google Scholar PubMed PubMed Central

NIMH. Research domain criteria (RDoC). (2008), Available at: https://www.nimh.nih.gov/research/research-funded-by-nimh/rdoc/index.shtml (Accessed10 July 2019).Search in Google Scholar

Olson, C.A., Vuong, H.E., Yano, J.M., Liang, Q.Y., Nusbaum, D.J., and Hsiao, E.Y. (2018). The gut microbiota mediates the anti-seizure effects of the ketogenic diet. Cell 173: 1728–1741.e13, https://doi.org/10.1016/j.cell.2018.04.027.Search in Google Scholar PubMed PubMed Central

Ong, M.S., Kohane, I.S., Cai, T., Gorman, M.P., and Mandl, K.D. (2014). Population-level evidence for an autoimmune etiology of epilepsy. JAMA Neurol. 71: 569–574, https://doi.org/10.1001/jamaneurol.2014.188.Search in Google Scholar PubMed PubMed Central

Palmer, S.M., Crewther, S.G., Carey, L.M., and Team, T.S.P. (2015). A meta-analysis of changes in brain activity in clinical depression. Front. Hum. Neurosci. 8: 1045, https://doi.org/10.3389/fnhum.2014.01045.Search in Google Scholar PubMed PubMed Central

Patel, M. (2004). Mitochondrial dysfunction and oxidative stress: Cause and consequence of epileptic seizures. Free Radic. Biol. Med. 37: 1951–1962, https://doi.org/10.1016/j.freeradbiomed.2004.08.021.Search in Google Scholar PubMed

Phelps, J.R., Siemers, S.V., and El-Mallakh, R.S. (2013). The ketogenic diet for type II bipolar disorder. Neurocase 19: 423–426, https://doi.org/10.1080/13554794.2012.690421.Search in Google Scholar PubMed

Raichle, M.E. (2015). The brain's default mode network. Annu. Rev. Neurosci. 38: 433–447, https://doi.org/10.1146/annurev-neuro-071013-014030.Search in Google Scholar PubMed

Rapoport, S.I. and Bosetti, F. (2002). Do lithium and anticonvulsants target the brain arachidonic acid cascade in bipolar disorder? Arch. Gen. Psychiatr. 59: 592–596, https://doi.org/10.1001/archpsyc.59.7.592.Search in Google Scholar PubMed

Rezin, G.T., Cardoso, M.R., Gonçalves, C.L., Scaini, G., Fraga, D.B., Riegel, R.E., Comim, C.M., Quevedo, J., and Streck, E.L. (2008). Inhibition of mitochondrial respiratory chain in brain of rats subjected to an experimental model of depression. Neurochem. Int. 53: 395–400, https://doi.org/10.1016/j.neuint.2008.09.012.Search in Google Scholar PubMed

Roosevelt, R.W., Smith, D.C., Clough, R.W., Jensen, R.A., and Browning, R.A. (2006). Increased extracellular concentrations of norepinephrine in cortex and hippocampus following vagus nerve stimulation in the rat. Brain Res. 1119: 124–132, https://doi.org/10.1016/j.brainres.2006.08.048.Search in Google Scholar PubMed PubMed Central

Ruskin, D.N., Kawamura, M. Jr, and Masino, S.A. (2009). Reduced pain and inflammation in juvenile and adult rats fed a ketogenic diet. PLoS One 4: e8349, https://doi.org/10.1371/journal.pone.0008349.Search in Google Scholar PubMed PubMed Central

Sansone, R.A. and Sansone, L.A. (2014). Serotonin norepinephrine reuptake inhibitors: a pharmacological comparison. Innov. Clin. Neurosci. 11: 37–42.Search in Google Scholar

Seo, J.H., Lee, Y.M., Lee, J.S., Kang, H.C., and Kim, H.D. (2007). Efficacy and tolerability of the ketogenic diet according to lipid: nonlipid ratios—comparison of 3:1 with 4:1 diet. Epilepsia 48: 801–805, https://doi.org/10.1111/j.1528-1167.2007.01025.x.Search in Google Scholar PubMed

Sheline, Y.I., Price, J.L., Yan, Z., and Mintun, M.A. (2010). Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proc. Natl. Acad. Sci. U. S. A. 107: 11020–11025, https://doi.org/10.1073/pnas.1000446107.Search in Google Scholar PubMed PubMed Central

Shi, S., Liu, T., Liang, J., Hu, D., and Yang, B. (2017). Depression and risk of sudden cardiac death and arrhythmias: a meta-analysis. Psychosom. Med. 79: 153–161, https://doi.org/10.1097/PSY.0000000000000382.Search in Google Scholar PubMed

Shmuely, S., van der Lende, M., Lamberts, R.J., Sander, J.W., and Thijs, R.D. (2017). The heart of epilepsy: cviews and future concepts. Seizure 44: 176–183, https://doi.org/10.1016/j.seizure.2016.10.001.Search in Google Scholar PubMed

Silva, M.F.B., Aires, C.C.P., Luis, P.B.M., Ruiter, J.P.N., IJlst, L., Duran, M., and Tavares de Almeida, I. (2008). Valproic acid metabolism and its effects on mitochondrial fatty acid oxidation: a review. J. Inherit. Metab. Dis. 31: 205–216, https://doi.org/10.1007/s10545-008-0841-x.Search in Google Scholar PubMed

Sinyor, M., Schaffer, A., and Levitt, A. (2010). The sequenced treatment alternatives to relieve depression (STAR*D) trial: a review. Can. J. Psychiatr. 55: 126–135, https://doi.org/10.1177/070674371005500303.Search in Google Scholar PubMed

Sperling, M.R., Schilling, C.A., Glosser, D., Tracy, J.I., and Asadi-Pooya, A.A. (2008). Self-perception of seizure precipitants and their relation to anxiety level, depression, and health locus of control in epilepsy. Seizure 17: 302–307, https://doi.org/10.1016/j.seizure.2007.09.003.Search in Google Scholar PubMed

Spiegel, D. and Giese-Davis, J. (2003). Depression and cancer: mechanisms and disease progression. Biol. Psychiatr. 54: 269–282, https://doi.org/10.1016/s0006-3223(03)00566-3.Search in Google Scholar

Spinelli, E. and Blackford, R. (2018). Gut microbiota, the ketogenic diet and epilepsy. Pediatr. Neurol. Brief. 32: 10, https://doi.org/10.15844/pedneurbriefs-32-10.Search in Google Scholar

Sullivan, P.G., Rippy, N.A., Dorenbos, K., Concepcion, R.C., Agarwal, A.K., and Rho, J.M. (2004). The ketogenic diet increases mitochondrial uncoupling protein levels and activity. Ann. Neurol. 55: 576–580, https://doi.org/10.1002/ana.20062.Search in Google Scholar

Sussman, D., Germann, J., and Henkelman, M. (2015). Gestational ketogenic diet programs brain structure and susceptibility to depression and anxiety in the adult mouse offspring. Brain Behav. 5: e00300, https://doi.org/10.1002/brb3.300.Search in Google Scholar

Szot, P., Weinshenker, D., Rho, J.M., Storey, T.W., and Schwartzkroin, P.A. (2001). Norepinephrine is required for the anticonvulsant effect of the ketogenic diet. Brain Res. Dev. Brain Res. 129: 211–214, https://doi.org/10.1016/s0165-3806(01)00213-9.Search in Google Scholar
Szot, P.、Weinshenker, D.、Rho, JM、Storey, TW 與 Schwartzkroin, PA (2001)。生酮飲食的抗驚厥作用需要去甲腎上腺素。腦研究。開發。腦研究。 129:211-214, https://doi.org/10.1016/s0165-3806(01 )00213-9。在谷歌學術搜尋

Thomas, S., Izard, J., Walsh, E., Batich, K., Chongsathidkiet, P., Clarke, G., Sela, D.A., Muller, A.J., Mullin, J.M., Albert, K., et al. (2017). The host microbiome regulates and maintains human health: a primer and perspective for non-microbiologists. Cancer Res. 77: 1783–1812, https://doi.org/10.1158/0008-5472.can-16-2929.Search in Google Scholar PubMed PubMed Central
Thomas, S.、Izard, J.、Walsh, E.、Batich, K.、Chongsathidkiet, P.、Clarke, G.、Sela, DA、Muller, AJ、Mullin, JM、Albert, K. 等。 (2017)。宿主微生物組調節和維持人類健康:非微生物學家的入門和視角。癌症研究中心。 77:1783-1812, https://doi.org/10.1158/0008-5472.can-16-2929在 Google Scholar PubMed PubMed Central 中搜尋

Tobe, E.H. (2013). Mitochondrial dysfunction, oxidative stress, and major depressive disorder. Neuropsychiatry Dis. Treat. 9: 567–573, https://doi.org/10.2147/ndt.s44282.Search in Google Scholar
托比,EH (2013)。粒線體功能障礙、氧化壓力和重度憂鬱症。神經精神病學疾病。對待。 9:567-573, https://doi.org/10.2147/ndt.s44282在谷歌學術搜尋

Torres, C.M., Siebert, M., Bock, H., Mota, S.M., Castan, J.U., Scornavacca, F., De Castro, L.A., Saraiva-Pereira, M.L., and Bianchin, M.M. (2017). Tyrosine receptor kinase B gene variants (NTRK2 variants) are associated with depressive disorders in temporal lobe epilepsy. Epilepsy Behav. 71: 65–72, https://doi.org/10.1016/j.yebeh.2017.03.030.Search in Google Scholar PubMed
Torres, CM、Siebert, M.、Bock, H.、Mota, SM、Castan, JU、Scornavacca, F.、De Castro, LA、Saraiva-Pereira, ML 和 Bianchin, MM (2017)。酪胺酸受體激酶 B 基因變異(NTRK2 變異)與顳葉癲癇憂鬱症有關。癲癇行為。 71:65-72, https://doi.org/10.1016/j.yebeh.2017.03.030在 Google Scholar PubMed 中搜尋

Vaghef-Mehrabany, E., Ranjbar, F., Asghari-Jafarabadi, M., Hosseinpour-Arjmand, S., and Ebrahimi-Mameghani, M. (2019). Calorie restriction in combination with prebiotic supplementation in obese women with depression: Effects on metabolic and clinical response. Nutr. Neurosci. 26: 1–15, https://doi.org/10.1080/1028415x.2019.1630985 [Epub ahead of print].Search in Google Scholar PubMed
Vaghef-Mehrabany, E.、Ranjbar, F.、Asghari-Jafarabadi, M.、Hosseinpour-Arjmand, S. 與 Ebrahimi-Mameghani, M. (2019)。患有憂鬱症的肥胖女性的熱量限制與益生元補充相結合:對代謝和臨床反應的影響。營養。神經科學。 26:1–15, https://doi.org/10.1080/1028415x.2019.1630985 [印刷前電子版]。在 Google Scholar PubMed 中搜尋

Vezzani, A., French, J., Bartfai, T., and Baram, T.Z. (2011). The role of inflammation in epilepsy. Nat. Rev. Neurol. 7: 31–40, https://doi.org/10.1038/nrneurol.2010.178.Search in Google Scholar PubMed PubMed Central
Vezzani, A.、French, J.、Bartfai, T. 與 Baram, TZ (2011)。發炎在癲癇中的作用。納特。尼羅爾牧師。 7:31-40, https://doi.org/10.1038/nrneurol.2010.178在 Google Scholar PubMed PubMed Central 中搜尋

Werner, F.M. and Coveñas, R. (2010). Classical neurotransmitters and neuropeptides involved in major depression: a review. Int. J. Neurosci. 120: 455–470, https://doi.org/10.3109/00207454.2010.483651.Search in Google Scholar PubMed
Werner, FM 與 Coveñas, R. (2010)。與重度憂鬱症相關的經典神經傳導物質和神經勝肽:綜述。國際。 J.神經科學。 120:455–470, https://doi.org/10.3109/00207454.2010.483651在 Google Scholar PubMed 中搜尋

Whitfield-Gabrieli, S. and Ford, J.M. (2012). Default mode network activity and connectivity in psychopathology. Annu. Rev. Clin. Psychol. 8: 49–76, https://doi.org/10.1146/annurev-clinpsy-032511-143049.Search in Google Scholar PubMed
Whitfield-Gabrieli, S. 與 Ford, JM (2012)。精神病理學中的預設模式網路活動和連結。安努。克林牧師。心理。 8:49-76, https://doi.org/10.1146/annurev-clinpsy-032511-143049在 Google Scholar PubMed 中搜尋

Xie, G., Zhou, Q., Qiu, C.Z., Dai, W.K., Wang, H.P., Li, Y.H., Liau, J.X., Lu, X.G., Lin, S.F., Ye, J.H., et al. (2017). Ketogenic diet poses a significant effect on imbalanced gut microbiota in infants with refractory epilepsy. World J. Gastroenterol. 23: 6164–6171, https://doi.org/10.3748/wjg.v23.i33.6164.Search in Google Scholar PubMed PubMed Central
謝G.、週Q.、邱CZ、戴WK、王HP、李YH、廖JX、盧XG、林SF、葉JH等。 (2017)。生酮飲食對難治性癲癇嬰兒的腸道菌叢失衡有顯著影響。世界胃腸病學雜誌。 23:6164–6171, https://doi.org/10.3748/wjg.v23.i33.6164在 Google Scholar PubMed PubMed Central 中搜尋

Yang, X. and Cheng, B. (2010). Neuroprotective and anti-inflammatory activities of ketogenic diet on MPTP-induced neurotoxicity. J. Mol. Neurosci. 42: 145–153, https://doi.org/10.1007/s12031-010-9336-y.Search in Google Scholar PubMed
楊X.和程B.(2010)。生酮飲食對 MPTP 誘導的神經毒性的神經保護和抗發炎活性。 J.莫爾。神經科學。 42:145-153, https://doi.org/10.1007/s12031-010-9336-y在 Google Scholar PubMed 中搜尋

Yuen, A.W.C., Keezer, M.R. and Sander, J.W. (2018). Epilepsy is a neurological and a systemic disorder. Epilepsy Behav. 78: 57–61, https://doi.org/10.1016/j.yebeh.2017.10.010.Search in Google Scholar PubMed
Yuen, AWC、Keezer, MR 與 Sander, JW (2018)。癲癇是一種神經系統疾病。癲癇行為。 78:57-61, https://doi.org/10.1016/j.yebeh.2017.10.010在 Google Scholar PubMed 中搜尋

Zhang, Y., Zhou, S., Zhou, Y., Yu, L., Zhang, L., and Wang, Y. (2018). Altered gut microbiome composition in children with refractory epilepsy after ketogenic diet. Epilepsy Res. 145: 163–168, https://doi.org/10.1016/j.eplepsyres.2018.06.015.Search in Google Scholar PubMed
張Y.、週S.、週Y.、於L.、張L.和王Y.(2018)。生酮飲食後難治性癲癇兒童腸道微生物組成的改變。癲癇研究。 145:163–168, https://doi.org/10.1016/j.eplepsyres.2018.06.015在 Google Scholar PubMed 中搜尋

Zou, W., Feng, R., and Yang, Y. (2018). Changes in the serum levels of inflammatory cytokines in antidepressant drug-naïve patients with major depression. PloS One 13: e0197267, https://doi.org/10.1371/journal.pone.0197267.Search in Google Scholar PubMed PubMed Central
鄒文、馮瑞、楊雲 (2018)。未接受過抗憂鬱藥物的重度憂鬱症患者血清發炎細胞激素水平的變化。 PloS One 13:e0197267, https://doi.org/10.1371/journal.pone.0197267在 Google Scholar PubMed PubMed Central 中搜尋

Received: 2019-08-08
收稿日期: 2019-08-08
Accepted: 2019-10-11
受理時間: 2019-10-11
Published Online: 2020-05-15
線上發布: 2020-05-15
Published in Print: 2020-08-27
印刷發表: 2020-08-27

© 2020 Walter de Gruyter GmbH, Berlin/Boston
© 2020 Walter de Gruyter GmbH,柏林/波士頓

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