Neural Plasticity

Neural Plasticity / 2021 / Article
Special Issue

Neural Plasticity and Neuroimaging in Suicide and Self-harm

View this Special Issue

Review Article | Open Access

Volume 2021 |Article ID 6619515 | https://doi.org/10.1155/2021/6619515

Xianquan An, Xiaoxiao Yao, Bingjin Li, Wei Yang, Ranji Cui, Guoqing Zhao, Yang Jin, "Role of BDNF-mTORC1 Signaling Pathway in Female Depression", Neural Plasticity, vol. 2021, Article ID 6619515, 8 pages, 2021. https://doi.org/10.1155/2021/6619515

Role of BDNF-mTORC1 Signaling Pathway in Female Depression

Academic Editor: Roberto Esposito
Received23 Nov 2020
Accepted22 Jan 2021
Published09 Feb 2021

Abstract

Depression is a common psychological and mental disorder, characterized by low mood, slow thinking and low will, and even suicidal tendencies in severe cases. It imposes a huge mental and economic burden on patients and their families, and its prevention and treatment have become an urgent public health problem. It is worth noting that there is a significant gender difference in the incidence of depression. Studies have shown that females are far more likely to suffer from depression than males, confirming a close relationship between estrogen and the onset of depression. Moreover, recent studies suggest that the brain-derived neurotrophic factor- (BDNF-) mammalian target of rapamycin complex-1 (mTORC1) signaling pathway is a crucial target pathway for improving depression and mediates the rapid antidepressant-like effects of various antidepressants. However, it is not clear whether the BDNF-mTORC1 signaling pathway mediates the regulation of female depression and how to regulate female depression. Hence, we focused on the modulation of estrogen-BDNF-mTORC1 signaling in depression and its possible mechanisms in recent years.

1. Introduction

Depression is a kind of mood disorder characterized by persistent depression, slow thinking, and decreased will activity. It is worth noting that the incidence of depression has significant gender differences. Because of the physical and social characteristics, the number of women suffering from depression worldwide is about twice that of men [1]. After puberty, females are more likely to suffer from depression than males, and the prevalence rate of females is significantly higher than men [2]. Other studies have shown that females exhibit depressive-like behaviors during periods of rapid estrogen decline, such as premenstrual, prenatal, postpartum, and perimenopausal periods [35]. Therefore, the function and regulation of estrogen are inevitably closely involved in the incidence of depression.

There is convincing scientific evidence that estrogen has neuroregulatory and neuroprotective effects, which are directly related to emotion. Studies have shown that estrogen levels in depressed females are lower than those in normal females, and persistently low levels of estrogen are closely related to the occurrence of depression. Estrogen can directly act on related brain regions and regulate the expression of target genes related to emotional and cognitive functions through classical nuclear receptor pathways. Preclinical studies have shown that bilaterally ovariectomized mice can be used as an effective estrogen deficiency-induced depression animal model and show a significant increase in depressive-like behaviors in the forced swimming test [6, 7]. 17β-Estradiol increased the expression of brain-derived neurotrophic factor (BDNF) in the prefrontal cortex (PFC), alleviated despair, and enhanced pleasure in ovariectomized female mice [8]. Depressive behaviors in females during the rapid decline of estrogen levels are closely related to the widespread distribution of estrogen receptors in emotionally related brain areas such as the hippocampus, PFC, and amygdala [9, 10]. At the same time, the antidepressant-like effects induced by 17-estradiol were absent in estrogen receptor β knockout mice but did not show significant changes in α-receptor knockout mice [11]. The increase of depression-like behavior in mice induced by estrogen deficiency was mainly related to the estrogen receptor. Clinically, the susceptibility to depression increases during the transitional period of menopause and early after the last menstruation [12]. Moreover, the quality of life of postmenopausal depression patients is significantly lower [13]. But evidence from clinical studies suggests that hormone treatment, especially estradiol, has successfully alleviated depression [14, 15]. Depressive symptoms in young men were also involved with elevated estradiol levels [16]. These data further support the view that estrogen levels are critical in the pathobiology of affective disorders.

2. BDNF-mTORC1 Signaling Pathway

BDNF is a member of neurotrophic factors, a family of proteins that are essential for the growth and survival of neurons. It is playing an increasingly pivotal part in the pathophysiology of depression and the therapeutic mechanism of related antidepressants. Preclinical studies have shown that bilateral ovariectomy as an effective depression model induced by estrogen deficiency significantly decreased BDNF levels in the hippocampus and PFC [9, 10]. This suggested that increased depressive-like behaviors in mice induced by estrogen deficiency are primarily related to ERβ. Further studies found that the BDNF level in the brain of estrogen receptor β knockout mice was remarkably reduced, while that in the brain of estrogen receptor α knockout mice was little changed [17]. Therefore, the estrogen receptor β-BDNF signaling pathway may mediate the regulation of depressive-like behaviors in female mice.

mTORC1 is a major growth regulator, whose signal pathway is closely related to synaptic plasticity; that is, it affects dendrites and dendritic spines by controlling the synthesis of proteins related to synaptic formation [18]. Hence, the mTORC1 signaling pathway is closely related to the synaptic structure and function plasticity. Researchers found that inhibition of the mTOR signal delayed the onset of puberty in female rats to some extent [19]. Moreover, expression decrease of mTORC1 and its upstream or downstream proteins, as well as inhibition of 1synaptic growth and regulation, in brain regions such as the hypothalamus, PFC, and hippocampus of ovariectomized murine, was reversed by estrogen administration [2022]. These mean that the mTOR signaling pathway is indeed related to the regulation of estrogen, particularly in the central nervous system (CNS). Beyond that, downregulation of the mTORC1 pathway and synaptic changes have also been found in a variety of other models of depression in murine [2325]. Likewise, clinical studies have also found decreased levels of mTORC1 expression and decreased synaptic formation in the PFC of depressed patients [26]. All of these indicate that the antidepressant effects mediated by the mTORC1 signaling pathway may also be closely related to the classical neural circuit.

Although there is no evidence to suggest a specific mechanism by which estrogen regulates mTORC1, BDNF is a key regulator. Recent researches have led to discoveries that the considerable upstream pathways of mTOR in the brain are PI3K/Akt/mTORC1 [27], MEK/ERK/mTORC1 [28], and LKB1/AMPK/mTORC1 [29]. As the upstream of LKB1 activation, the role of extracellular BDNF is realized by the upregulation of intracellular cAMP [30]. Meanwhile, chronic restraint stress reduced levels of mTORC1 and its downstream effectors such as 4E-BP-1 and p70S6K in the rat hippocampus, which is antagonized by antidepressants, escitalopram and paroxetine [31].

BDNF has been shown to affect the nervous system through the BDNF-mTORC1 pathway. In several reports, ketamine and scopolamine enhance the number and maturity of synapses by activating the BDNF-mTOR pathway to upregulate the expression of various synapse-related proteins, while blocking mTOR signals can completely interrupt the occurrence and behavioral response of these synapses [3235]. It may be a unique fast-acting antidepressant mechanism. Studies have also manifested that hypidone hydrochloride activates pyramidal neurons by relieving the inhibitory effect of 5-HT1A receptors on GABAergic neurons and then acts on the BDNF-mTORC1 pathway to exert an antidepressant role [36, 37]. These findings make mTORC1 an attractive therapeutic target for depression. For example, NV-5138, a novel antidepressant (a mTORC1 activator), enhances mTORC1 signaling and increased the number, function, and protein levels of synapses in the PFC, in which BDNF is required to participate [38]. In turn, the fast-acting antidepressant effects of ketamine and its active metabolite (2R,6R)-hydroxyketamine were blocked by BDNF function-blocking antibody or rapamycin [39, 40], a classical inhibitor of the mTORC1 [41], suggesting that researches on mTORC1 will help in the further development of antidepressants.

3. Role of BDNF-mTOR1 Signaling Pathway in Depression

3.1. BDNF-mTORC1 Signaling Pathway and Rapid Antidepressant Effects

Briefly, the potential mechanism of rapid antidepressant action of the BDNF-mTORC1 signaling pathway may be as follows: first, glutaminergic neurons release glutamate by inhibiting the activity of GABA interneurons; then, the AMPA receptor and VDCC were further activated to promote the release of BDNF; finally, the release of BDNF activates TrkB, Akt, ERK, AMPK, etc., and then activates the mTORC1 pathway, which promotes increases in proteins involved in synaptic formation (e.g., GluA1 and PSD95) and further increases the frequency and amplitude of the excitatory postsynaptic current (EPSC), thus promoting the growth of neurons and synapses to play an antidepressant-like role [34, 42, 43]. Although the mTORC1 pathway is considered to be an effective therapy for depression at present, there is still a separate report in which mTORC2, but not mTORC1, is required for hippocampal mGluR-LTD and associated behaviors [44], and further research is needed to investigate the role of mTORC2.

3.2. BDNF-mTORC1 Signaling Pathway and Autophagy

Autophagy is a conservative process of maintaining cellular energy and protein homeostasis [45]. It can effectively eliminate damaged proteins and organelles associated with certain diseases [46], but overactivated autophagy can also damage cells. Therefore, whether autophagy plays a positive or negative role in regulating neurological diseases is still a matter of debate [47]. What is certain is that autophagy dysfunction may lead to a variety of neurological disorders, such as depression, epilepsy, and Alzheimer’s disease [4850]. mTORC1 is a key molecule in autophagy, which can inhibit autophagy by competitively occupying ULK1 [51]. Its activated pathways such as Akt and MAPK signaling pathways inhibit autophagy, while negatively regulated pathways such as AMPK and P53 signaling pathways promote autophagy [5254]. This indicates that mTOR is a key regulatory component in the relationship between depression and autophagy. And the mTOR signaling pathway indeed exerts neuroprotective effects by regulating autophagy and inducing nerve regeneration by promoting protein synthesis [55].

According to studies, autophagy regulates depression bidirectionally. On the one hand, obvious excessive autophagy activation during some depression results in the decline of the survival rate of neurons and glial cells and neuronal apoptosis [56]. Some antidepressants effectively function by improving this activated autophagy through the mTOR pathway [57]. Patchouli alcohol can inhibit excessive autophagy, repair synapses, and restore hippocampal autophagy flux by activating the mTOR signaling pathway, thus preventing depressant-like behaviors induced by CUMS [58]. Interestingly, BDNF promotes neuron survival by activating mTOR signaling to improve excess autophagy flux [59]. Besides, the BDNF-TrkB pathway also participates in the regulation of autophagy. For instance, the BDNF-TrkB pathway regulates antidepressant-like actions of H2S and fluoxetine by enhancing hippocampal autophagy [49, 60]. The neuroprotection of BDNF in vitro is also performed by inhibiting autophagy through the PI3K-Akt-mTOR pathway [53]. The regulation of autophagy by local BDNF-mTOR may also affect synaptic plasticity since the suppression of mTOR in stimulated neurons causes AMPA receptor degradation in spines through autophagy [52].

On the other hand, it has also been proved that autophagy between neurons is impaired in depression, which can be alleviated by pharmacologic enhancement of autophagy [61]. The majority of antidepressants may kick in through the upregulation of autophagy [62]. Ketamine, a quick-acting antidepressant, is an example [63], although its enhancement of mTOR activity has been confirmed. As one of the most abundant and bioactive constituents in vitamin E, α-tocopherol showed antidepressant-like effects on mice through the upregulation of autophagy mediated by the mTOR-AMPK pathway [54]. Trehalose may work on depression due to its ability to enhance autophagy as well [64]. Therefore, the BDNF-mTORC1 pathway can indeed regulate depression through autophagy, but its specific mechanism remains to be studied.

3.3. BDNF-mTORC1 Signaling Pathway and Monoamine Neurotransmitters

According to the monoaminergic hypothesis, lack of monoamine neurotransmitters such as 5-HT, DA, and NE in the brain may cause depression [65]. Estrogen deficiency has been shown to have significant effects on monoaminergic systems, including 5-HT, DA, and NE [66]. As an instance, the anxiety-like behavior caused by food restriction may be mediated by the decreased activation of estrogen receptor β in the serotonergic dorsal raphe nucleus neurons, which may be due to the decrease of the estrogen level [67]. It has been found that the disturbance of estrogen balance during menopause results in the imbalance of the BDNF-5-HT2A signal and the decrease of synaptic plasticity, which puts the brain in a depressed state [17]. Furthermore, 17β-estradiol preferentially acts as an antidepressant by regulating levels of multiple neurotransmitters, dopaminergic receptors, serotonergic receptors, and the sigma-1 receptors expressed in the CNS to regulate neurotransmitter systems [6870]. Thus, the monoaminergic system exerts the vital regulatory part in female depression.

Studies have shown that the rapid activation of the mTOR pathway is a significant medium for the rapid antidepressant action of ketamine and scopolamine [34]. Other studies have revealed that selective stimulation of the 5-HT1A receptor in the medial PFC has also been shown to alleviate depressant-like behaviors [71, 72]. This may be through the activation of the AMPA receptor-BDNF-mTOR signal, thereby enhancing the synaptic function of mPFC [73]. In another study, scopolamine can increase the concentration of 5-HT and dopamine neurotransmitter system in the brain and cause delirium symptoms, while selective 5-HT1A antagonist reverses it to some extent through the induction of PI3K-Akt-mTORC1 [74]. Besides, the inhibition of rapamycin on the Akt-mTOR pathway blocked the change of 5-HT2AR signal transduction mode [75]. 20(S)-Protopanaxadiol and liquiritigenin may also have antidepressant effects through normalization of monoamine neurotransmitter and corticosterone (CORT) levels and enhancement of the BDNF-mTOR pathway [76, 77]. The interaction between the 5-HT6 receptor and mTOR pathway was also found; that is, 5-HT6 receptor activation can increase mTOR signal in rodent PFC. In connection with cognitive impairment, rapamycin, an mTOR inhibitor, can reverse the increase of mTOR activity in PFC like a 5-HT6 antagonist, thus improving cognitive disorder induced by 5-HT6 agonists [78]. All these demonstrated the interaction between the BDNF-mTORC1 pathway and the monoaminergic system in the occurrence and treatment of depression.

3.4. BDNF-mTORC1 Signaling Pathway and Neuroendocrine System

Hyperactivity and stress feedback disorder of the HPA axis is particularly considerable in the pathogenesis of depression, which may be improved by regulating the homeostasis of the HPA axis. On the one hand, there is a close relationship between the activities of the hypothalamic-pituitary-adrenal (HPA) axis and the hypothalamic-pituitary-gonad (HPG) axis, and they interact in estrogen-mediated affective disorders. CNS regulates the synthesis and secretion of estrogen through the HPG axis, while estrogen regulates the functions of the pituitary and hypothalamus through the HPA axis in a feedback way, thus affecting the levels of stress hormones like corticotropin- (ACTH-) releasing hormone, ACTH and CORT [79], and thereby relieving the emotional stress of postmenopausal women [80].

On the other hand, studies have confirmed that neurotrophins such as BDNF are involved in neuroendocrine regulation [81]. An early study in adult rats found that continuous BDNF administration into the ventricle affected activity and biological rhythm of the HPA axis [82]. In a later study, knockdown of BDNF by siRNA in rats inhibited the expression of endogenous BDNF in different brain areas as well as weakened the growing level of ACTH and CORT caused by normal stress [83]. A recent study found that patients with two separate BDNF single nucleotide polymorphism alleles (rs2049046 and rs11030094), beneficial alleles associated with antidepressant responses, had significantly lower cortisol responses to dexamethasone suppression/CRH tests at discharge [84]. These prove the vital function of BDNF in regulating the HPA axis. Furthermore, some drugs exert antidepressant-like and neuroprotective effects in this way. The improvement of Apelin-13 in chronic stress depressive-like behaviors was achieved through upregulation of BDNF by improving the HPA axis and hippocampal glucocorticoid receptor disorder [85]. The reduction of depressive-like behavior in mice treated with CSDS can be alleviated by dammarane saponin through the restoration of monoamine neurotransmitter levels and HPA axis, which is achieved in part by increasing the BDNF-mTOR pathway [86]. Similarly, water extract of Vaccinium bracteatum leaf showed neuroprotective effects by increasing phosphorylation of CREB in CORT-induced cell damage mediated by the mTOR signaling pathway [87]. Cortisol induces PC12 cell injury by blocking autophagy mediated by the AMPK-mTOR pathway [88, 89]. Autophagy activated AMPK activator metformin and mTOR inhibitor rapamycin, and chlorogenic acid significantly reduced CORT-induced PC12 cytotoxicity by activating autophagy [88, 89]. The potential regulatory role of the estrogen-BDNF-mTORC1 signaling pathway in depression is shown in Figure 1.

4. Conclusion

Overall, there are more and more innovative researches on the pathogenesis of depression, which offers hope for the quality of life for patients. The BDNF-mTORC1 signaling pathway is considered to be an important target pathway for rapid antidepressant therapy, which plays a beneficial role in female depression. Next, further search for drugs acting on the BDNF-mTORC1 pathway or allosteric modulators of mTORC1 is of great significance to improve its role in the pathology of depression, which will greatly improve the situation of female patients.

Data Availability

Data are available upon request.

Conflicts of Interest

The authors claim that there are no conflicts of interest.

Authors’ Contributions

RJC, BJL, and WY contributed to the conception and design of the minireview and provided the critical revisions; YJ and XQA wrote the first draft of the manuscript. All authors revised the manuscript and approved the submitted version.

Acknowledgments

This work was supported by grants from the National Key R&D Program of China (Grant #2018YFC1311600), the Jilin Province Medical and Health Talents (2017F012, 2019SCZT007, and 2019SCZT013), the Jilin Science and Technology Agency (20170204049SF, 20190701078GH, 20200201465JC, and 20200301005RQ), and the Scientific Research Foundation of the Education Department of Jilin Province (Grant No. JJKH20201107KJ).

References

  1. A. J. Ferrari, A. J. Somerville, A. J. Baxter et al., “Global variation in the prevalence and incidence of major depressive disorder: a systematic review of the epidemiological literature,” Psychological Medicine, vol. 43, no. 3, pp. 471–481, 2013. View at: Publisher Site | Google Scholar
  2. R. H. Salk, J. S. Hyde, and L. Y. Abramson, “Gender differences in depression in representative national samples: meta-analyses of diagnoses and symptoms,” Psychological Bulletin, vol. 143, no. 8, pp. 783–822, 2017. View at: Publisher Site | Google Scholar
  3. P. J. Schmidt, P. E. Martinez, L. K. Nieman et al., “Premenstrual dysphoric disorder symptoms following ovarian suppression: triggered by change in ovarian steroid levels but not continuous stable levels,” American Journal of Psychiatry, vol. 174, no. 10, pp. 980–989, 2017. View at: Publisher Site | Google Scholar
  4. Z. Hu, X. Du, Y. Yang, B. Botchway, and M. Fang, “Progesterone and fluoxetine treatments of postpartum depressive-like behavior in rat model,” Cell biology International, vol. 43, no. 5, pp. 539–552, 2019. View at: Publisher Site | Google Scholar
  5. H. Zhang, W. He, Y. Huang et al., “Hippocampal metabolic alteration in rat exhibited susceptibility to prenatal stress,” Journal of Affective Disorders, vol. 259, pp. 458–467, 2019. View at: Publisher Site | Google Scholar
  6. N. Bekku and H. Yoshimura, “Animal model of menopausal depressive-like state in female mice: prolongation of immobility time in the forced swimming test following ovariectomy,” Psychopharmacology, vol. 183, no. 3, pp. 300–307, 2005. View at: Publisher Site | Google Scholar
  7. J. Fan, B. J. Li, X. F. Wang, L. L. Zhong, and R. J. Cui, “Ghrelin produces antidepressant-like effect in the estrogen deficient mice,” Oncotarget, vol. 8, no. 35, pp. 58964–58973, 2017. View at: Publisher Site | Google Scholar
  8. B. C. Karisetty, P. C. Joshi, A. Kumar, and S. Chakravarty, “Sex differences in the effect of chronic mild stress on mouse prefrontal cortical BDNF levels: a role of major ovarian hormones,” Neuroscience, vol. 356, pp. 89–101, 2017. View at: Publisher Site | Google Scholar
  9. L. Liu, B. Li, Y. Zhou et al., “Antidepressant-like effect of Fuzi total alkaloid on ovariectomized mice,” Journal of Pharmacological Sciences, vol. 120, no. 4, pp. 280–287, 2012. View at: Publisher Site | Google Scholar
  10. J. Fan, B. Li, T. Ge et al., “Berberine produces antidepressant-like effects in ovariectomized mice,” Scientific Reports, vol. 7, no. 1, p. 1310, 2017. View at: Publisher Site | Google Scholar
  11. B. A. Rocha, R. Fleischer, J. M. Schaeffer, S. P. Rohrer, and G. J. Hickey, “17 Beta-estradiol-induced antidepressant-like effect in the forced swim test is absent in estrogen receptor-beta knockout (BERKO) mice,” Psychopharmacology, vol. 179, no. 3, pp. 637–643, 2005. View at: Publisher Site | Google Scholar
  12. J. T. Bromberger and C. N. Epperson, “Depression during and after the perimenopause: impact of hormones, genetics, and environmental determinants of disease,” Obstetrics and gynecology clinics of North America, vol. 45, no. 4, pp. 663–678, 2018. View at: Publisher Site | Google Scholar
  13. H. Park and K. Kim, “Depression and its association with health-related quality of life in postmenopausal women in Korea,” International journal of environmental research and public health, vol. 15, no. 11, p. 2327, 2018. View at: Publisher Site | Google Scholar
  14. B. Baksu, A. Baksu, N. Göker, and S. Citak, “Do different delivery systems of hormone therapy have different effects on psychological symptoms in surgically menopausal women? A randomized controlled trial,” Maturitas, vol. 62, no. 2, pp. 140–145, 2009. View at: Publisher Site | Google Scholar
  15. C. N. Soares, “Depression in peri- and postmenopausal women: prevalence, pathophysiology and pharmacological management,” Drugs & Aging, vol. 30, no. 9, pp. 677–685, 2013. View at: Publisher Site | Google Scholar
  16. D. Stanikova, T. Luck, Y. J. Bae et al., “Increased estrogen level can be associated with depression in males,” Psychoneuroendocrinology, vol. 87, pp. 196–203, 2018. View at: Publisher Site | Google Scholar
  17. A. Chhibber, S. K. Woody, M. A. Karim Rumi, M. J. Soares, and L. Zhao, “Estrogen receptor β deficiency impairs BDNF-5-HT2A signaling in the hippocampus of female brain: a possible mechanism for menopausal depression,” Psychoneuroendocrinology, vol. 82, pp. 107–116, 2017. View at: Publisher Site | Google Scholar
  18. B. Voleti, A. Navarria, R. J. Liu et al., “Scopolamine rapidly increases mammalian target of rapamycin complex 1 signaling, synaptogenesis, and antidepressant behavioral responses,” Biological Psychiatry, vol. 74, no. 10, pp. 742–749, 2013. View at: Publisher Site | Google Scholar
  19. J. Roa, D. García-Galiano, J. M. Castellano, F. Gaytan, L. Pinilla, and M. Tena-Sempere, “Metabolic control of puberty onset: new players, new mechanisms,” Molecular and Cellular Endocrinology, vol. 324, no. 1-2, pp. 87–94, 2010. View at: Publisher Site | Google Scholar
  20. J. J. Tuscher, V. Luine, M. Frankfurt, and K. M. Frick, “Estradiol-mediated spine changes in the dorsal hippocampus and medial prefrontal cortex of ovariectomized female mice depend on ERK and mTOR activation in the dorsal hippocampus,” The Journal of Neuroscience, vol. 36, no. 5, pp. 1483–1489, 2016. View at: Publisher Site | Google Scholar
  21. I. González-García, P. B. Martínez de Morentin, Á. Estévez-Salguero et al., “mTOR signaling in the arcuate nucleus of the hypothalamus mediates the anorectic action of estradiol,” Journal of Endocrinology, vol. 238, no. 3, pp. 177–186, 2018. View at: Publisher Site | Google Scholar
  22. L. Y. Lu, Y. Liu, Y. F. Gong, and X. Y. Zheng, “A preliminary report: genistein attenuates cerebral ischemia injury in ovariectomized rats via regulation of the PI3K-Akt-mTOR pathway,” General physiology and biophysics, vol. 38, no. 5, pp. 389–397, 2019. View at: Publisher Site | Google Scholar
  23. J. Bockaert and P. Marin, “mTOR in brain physiology and pathologies,” Physiological reviews, vol. 95, no. 4, pp. 1157–1187, 2015. View at: Publisher Site | Google Scholar
  24. X. Y. Hou, Z. L. Hu, D. Z. Zhang et al., “Rapid Antidepressant effect of hydrogen sulfide: evidence for activation of mTORC1-TrkB-AMPA receptor pathways,” Antioxidants & Redox Signaling, vol. 27, no. 8, pp. 472–488, 2017. View at: Publisher Site | Google Scholar
  25. X. Zhang, H. Bu, Y. Jiang et al., “The antidepressant effects of apigenin are associated with the promotion of autophagy via the mTOR/AMPK/ULK1 pathway,” Molecular Medicine Reports, vol. 20, no. 3, pp. 2867–2874, 2019. View at: Publisher Site | Google Scholar
  26. C. S. Jernigan, D. B. Goswami, M. C. Austin et al., “The mTOR signaling pathway in the prefrontal cortex is compromised in major depressive disorder,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 35, no. 7, pp. 1774–1779, 2011. View at: Publisher Site | Google Scholar
  27. Z. Z. Chong, Y. C. Shang, S. Wang, and K. Maiese, “A critical kinase cascade in neurological disorders: PI 3-K, Akt, and mTOR,” Future Neurology, vol. 7, no. 6, pp. 733–748, 2012. View at: Publisher Site | Google Scholar
  28. S. W. Park, J. G. Lee, M. K. Seo et al., “Differential effects of antidepressant drugs on mTOR signalling in rat hippocampal neurons,” The International Journal of Neuropsychopharmacology, vol. 17, no. 11, pp. 1831–1846, 2014. View at: Publisher Site | Google Scholar
  29. G. L. Russo, M. Russo, and P. Ungaro, “AMP-activated protein kinase: a target for old drugs against diabetes and cancer,” Biochemical pharmacology, vol. 86, no. 3, pp. 339–350, 2013. View at: Publisher Site | Google Scholar
  30. B. Winckler, “BDNF instructs the kinase LKB1 to grow an axon,” Cell, vol. 129, no. 3, pp. 459-460, 2007. View at: Publisher Site | Google Scholar
  31. M. K. Seo, C. M. Choi, R. S. McIntyre et al., “Effects of escitalopram and paroxetine on mTORC1 signaling in the rat hippocampus under chronic restraint stress,” BMC Neuroscienc, vol. 18, no. 1, p. 39, 2017. View at: Publisher Site | Google Scholar
  32. R. S. Duman, “Neurobiology of stress, depression, and rapid acting antidepressants: remodeling synaptic connections,” Depression and anxiety, vol. 31, no. 4, pp. 291–296, 2014. View at: Publisher Site | Google Scholar
  33. E. S. Wohleb, M. Wu, D. M. Gerhard et al., “GABA interneurons mediate the rapid antidepressant-like effects of scopolamine,” Journal of Clinical Investigation, vol. 126, no. 7, pp. 2482–2494, 2016. View at: Publisher Site | Google Scholar
  34. E. S. Wohleb, D. Gerhard, A. Thomas, and R. S. Duman, “Molecular and cellular mechanisms of rapid-acting antidepressants ketamine and scopolamine,” Current Neuropharmacology, vol. 15, no. 1, pp. 11–20, 2017. View at: Publisher Site | Google Scholar
  35. A. J. Widman and L. L. McMahon, “Disinhibition of CA1 pyramidal cells by low-dose ketamine and other antagonists with rapid antidepressant efficacy,” Proceedings of the National Academy of Sciences, vol. 115, no. 13, pp. E3007–3007E3016, 2018. View at: Publisher Site | Google Scholar
  36. Y. Ran, Z. Jin, X. Chen et al., “Hypidone hydrochloride (YL-0919) produces a fast-onset reversal of the behavioral and synaptic deficits caused by chronic stress exposure,” Frontiers in Cellular Neuroscience, vol. 12, p. 395, 2018. View at: Publisher Site | Google Scholar
  37. L. J. Sun, L. M. Zhang, D. Liu et al., “The faster-onset antidepressant effects of hypidone hydrochloride (YL-0919),” Metabolic Brain Disease, vol. 34, no. 5, pp. 1375–1384, 2019. View at: Publisher Site | Google Scholar
  38. S. Sengupta, E. Giaime, S. Narayan et al., “Discovery of NV-5138, the first selective brain mTORC1 activator,” Scientific Reports, vol. 9, no. 1, p. 4107, 2019. View at: Publisher Site | Google Scholar
  39. L. Cavalleri, E. Merlo Pich, M. J. Millan et al., “Ketamine enhances structural plasticity in mouse mesencephalic and human iPSC-derived dopaminergic neurons via AMPAR-driven BDNF and mTOR signaling,” Molecular Psychiatry, vol. 23, no. 4, pp. 812–823, 2018. View at: Publisher Site | Google Scholar
  40. K. Fukumoto, M. V. Fogaça, R. J. Liu et al., “Activity-dependent brain-derived neurotrophic factor signaling is required for the antidepressant actions of (2R,6R)-hydroxynorketamine,” Proceedings of the National Academy of Sciences, vol. 116, no. 1, pp. 297–302, 2019. View at: Publisher Site | Google Scholar
  41. C. Cleary, J. A. Linde, K. M. Hiscock et al., “Antidepressive-like effects of rapamycin in animal models: implications for mTOR inhibition as a new target for treatment of affective disorders,” Brain Research Bulletin, vol. 76, no. 5, pp. 469–473, 2008. View at: Publisher Site | Google Scholar
  42. J. H. Krystal, G. Sanacora, and R. S. Duman, “Rapid-acting glutamatergic antidepressants: the path to ketamine and beyond,” Biological Psychiatry, vol. 73, no. 12, pp. 1133–1141, 2013. View at: Publisher Site | Google Scholar
  43. R. S. Duman, G. K. Aghajanian, G. Sanacora, and J. H. Krystal, “Synaptic plasticity and depression: new insights from stress and rapid- acting antidepressants,” Nature Medicine, vol. 22, no. 3, pp. 238–249, 2016. View at: Publisher Site | Google Scholar
  44. P. J. Zhu, C. J. Chen, J. Mays, L. Stoica, and M. Costa-Mattioli, “mTORC2, but not mTORC1, is required for hippocampal mGluR-LTD and associated behaviors,” Nature Neuroscience, vol. 21, no. 6, pp. 799–802, 2018. View at: Publisher Site | Google Scholar
  45. E. White, J. M. Mehnert, and C. S. Chan, “Autophagy, metabolism, and cancer,” Clinical Cancer Research, vol. 21, no. 22, pp. 5037–5046, 2015. View at: Publisher Site | Google Scholar
  46. S. Jung, H. Jeong, and S. W. Yu, “Autophagy as a decisive process for cell death,” Experimental & Molecular Medicine, vol. 52, no. 6, pp. 921–930, 2020. View at: Publisher Site | Google Scholar
  47. J. H. Son, J. H. Shim, K. H. Kim, J. Y. Ha, and J. Y. Han, “Neuronal autophagy and neurodegenerative diseases,” Experimental & Molecular Medicine, vol. 44, no. 2, pp. 89–98, 2012. View at: Publisher Site | Google Scholar
  48. R. A. Nixon and D. S. Yang, “Autophagy and neuronal cell death in neurological disorders,” Cold Spring Harbor Perspectives in Biology, vol. 4, no. 10, 2012. View at: Publisher Site | Google Scholar
  49. H. Y. Liu, H. J. Wei, L. Wu et al., “BDNF‐TrkB pathway mediates antidepressant-like roles of H2S in diabetic rats via promoting hippocampal autophagy,” Clinical and Experimental Pharmacology and Physiology, vol. 47, no. 2, pp. 302–312, 2019. View at: Publisher Site | Google Scholar
  50. P. Yang, Y. Qin, Y. Zhu et al., “Chaihu-Longgu-Muli decoction relieves epileptic symptoms by improving autophagy in hippocampal neurons,” Journal of Ethnopharmacology, vol. 259, p. 112990, 2020. View at: Publisher Site | Google Scholar
  51. E. A. Dunlop, D. K. Hunt, H. A. Acosta-Jaquez, D. C. Fingar, and A. R. Tee, “ULK1 inhibits mTORC1 signaling, promotes multisite Raptor phosphorylation and hinders substrate binding,” Autophagy, vol. 7, no. 7, pp. 737–747, 2014. View at: Publisher Site | Google Scholar
  52. M. Shehata, H. Matsumura, R. Okubo-Suzuki, N. Ohkawa, and K. Inokuchi, “Neuronal stimulation induces autophagy in hippocampal neurons that is involved in AMPA receptor degradation after chemical long-term depression,” Journal of Neuroscience, vol. 32, no. 30, pp. 10413–10422, 2012. View at: Publisher Site | Google Scholar
  53. A. Chen, L. J. Xiong, Y. Tong, and M. Mao, “Neuroprotective effect of brain-derived neurotrophic factor mediated by autophagy through the PI3K/Akt/mTOR pathway,” Molecular Medicine Reports, vol. 8, no. 4, pp. 1011–1016, 2013. View at: Publisher Site | Google Scholar
  54. X. Huang, H. Wu, R. Jiang et al., “The antidepressant effects of ɑ-tocopherol are related to activation of autophagy via the AMPK/mTOR pathway,” European Journal of Pharmacology, vol. 833, pp. 1–7, 2018. View at: Publisher Site | Google Scholar
  55. H. M. Abelaira, G. Z. Réus, M. V. Neotti, and J. Quevedo, “The role of mTOR in depression and antidepressant responses,” LIFE SCIENCES, vol. 101, no. 1-2, pp. 10–14, 2014. View at: Publisher Site | Google Scholar
  56. J. Zschocke, N. Zimmermann, B. Berning, V. Ganal, F. Holsboer, and T. Rein, “Antidepressant Drugs Diversely Affect Autophagy Pathways in Astrocytes and Neurons--Dissociation from Cholesterol Homeostasis,” Neuropsychopharmacology, vol. 36, no. 8, pp. 1754–1768, 2011. View at: Publisher Site | Google Scholar
  57. N. Zare, S. Khalifeh, F. Khodagholi, S. Z. Shahamati, F. Motamedi, and N. Maghsoudi, “Geldanamycin reduces Aβ-associated anxiety and depression, concurrent with autophagy provocation,” Journal of Molecular Neuroscience, vol. 57, no. 3, pp. 317–324, 2015. View at: Publisher Site | Google Scholar
  58. J. Zhuo, B. Chen, C. Sun et al., “Patchouli alcohol protects against chronic unpredictable mild stress-induced depressant-like behavior through inhibiting excessive autophagy via activation of mTOR signaling pathway,” Biomedicine & Pharmacotherapy, vol. 127, p. 110115, 2020. View at: Publisher Site | Google Scholar
  59. E. D. Smith, G. A. Prieto, L. Tong et al., “Rapamycin and Interleukin-1β Impair Brain-derived Neurotrophic Factor- dependent Neuron Survival by Modulating Autophagy,” Journal of Biological Chemistry, vol. 289, no. 30, pp. 20615–20629, 2014. View at: Publisher Site | Google Scholar
  60. S. Ghosh, S. Choudhury, O. Chowdhury et al., “Inflammation-induced behavioral changes is driven by alterations in Nrf2-dependent apoptosis and autophagy in mouse hippocampus: Role of fluoxetine,” Cellular Signalling, vol. 68, p. 109521, 2020. View at: Publisher Site | Google Scholar
  61. T. Ali, S. U. Rahman, Q. Hao et al., “Melatonin prevents neuroinflammation and relieves depression by attenuating autophagy impairment through FOXO3a regulation,” Journal of Pineal Research, vol. 69, no. 2, 2020. View at: Publisher Site | Google Scholar
  62. S. M. Cloonan and D. C. Williams, “The antidepressants maprotiline and fluoxetine induce type II autophagic cell death in drug-resistant Burkitt's lymphoma,” International Journal of Cancer, vol. 128, no. 7, pp. 1712–1723, 2011. View at: Publisher Site | Google Scholar
  63. Z. Shan, L. Wei, S. Yu et al., “Ketamine induces reactive oxygen species and enhances autophagy in SV-HUC-1 human uroepithelial cells,” Journal of cellular Physiology, vol. 234, no. 3, pp. 2778–2787, 2018. View at: Publisher Site | Google Scholar
  64. N. Z. Kara, L. Toker, G. Agam, G. W. Anderson, R. H. Belmaker, and H. Einat, “Trehalose induced antidepressant-like effects and autophagy enhancement in mice,” Psychopharmacology, vol. 229, no. 2, pp. 367–375, 2013. View at: Publisher Site | Google Scholar
  65. Y. Jin, L. H. Sun, W. Yang, R. J. Cui, and S. B. Xu, “The role of BDNF in the neuroimmune axis regulation of mood disorders,” Frontiers in neurology, vol. 10, p. 515, 2019. View at: Publisher Site | Google Scholar
  66. P. A. Newhouse, J. Dumas, C. Hancur-Bucci et al., “Estrogen administration negatively alters mood following monoaminergic depletion and psychosocial stress in postmenopausal women,” Neuropsychopharmacology, vol. 33, no. 7, pp. 1514–1527, 2008. View at: Publisher Site | Google Scholar
  67. G. V. Campos, S. R. de Noronha, A. A. de Souza et al., “Estrogen receptor β activation within dorsal raphe nucleus reverses anxiety- like behavior induced by food restriction in female rats,” Behavioural Brain Research, vol. 357-358, pp. 57–64, 2019. View at: Publisher Site | Google Scholar
  68. L. A. Rybaczyk, M. J. Bashaw, D. R. Pathak, S. M. Moody, R. M. Gilders, and D. L. Holzschu, “An overlooked connection: serotonergic mediation of estrogen-related physiology and pathology,” BMC Women's Health, vol. 5, no. 1, p. 12, 2005. View at: Publisher Site | Google Scholar
  69. A. Dhir and S. K. Kulkarni, “Antidepressant-like effect of 17beta-estradiol: involvement of dopaminergic, serotonergic, and (or) sigma-1 receptor systems,” Canadian Journal of Physiology and Pharmacology, vol. 86, no. 10, pp. 726–735, 2008. View at: Publisher Site | Google Scholar
  70. O. T. Hernández-Hernández, L. Martínez-Mota, J. J. Herrera-Pérez, and G. Jiménez-Rubio, “Role of estradiol in the expression of genes involved in serotonin neurotransmission: implications for female depression,” Current Neuropharmacology, vol. 17, no. 5, pp. 459–471, 2019. View at: Publisher Site | Google Scholar
  71. K. Fukumoto, M. Iijima, and S. Chaki, “The antidepressant effects of an mGlu2/3 receptor antagonist and ketamine require AMPA receptor stimulation in the mPFC and subsequent activation of the 5-HT neurons in the DRN,” Neuropsychopharmacology, vol. 41, no. 4, pp. 1046–1056, 2016. View at: Publisher Site | Google Scholar
  72. K. Fukumoto, M. Iijima, T. Funakoshi, and S. Chaki, “5-HT1A receptor stimulation in the medial prefrontal cortex mediates the antidepressant effects of mGlu2/3 receptor antagonist in mice,” Neuropharmacology, vol. 137, pp. 96–103, 2018. View at: Publisher Site | Google Scholar
  73. K. Fukumoto, M. V. Fogaça, R. J. Liu et al., “Medial PFC AMPA receptor and BDNF signaling are required for the rapid and sustained antidepressant-like effects of 5-HT1A receptor stimulation,” Neuropsychopharmacolog, vol. 45, no. 10, pp. 1725–1734, 2020. View at: Publisher Site | Google Scholar
  74. Y. Qiu, X. Huang, L. Huang et al., “5-HT (1A) receptor antagonist improves behavior performance of delirium rats through inhibiting PI3K/Akt/mTOR activation-induced NLRP3 activity,” IUBMB life, vol. 68, no. 4, pp. 311–319, 2016. View at: Publisher Site | Google Scholar
  75. I. Ibarra-Lecue, I. Mollinedo-Gajate, J. J. Meana, L. F. Callado, R. Diez-Alarcia, and L. Urigüen, “Chronic cannabis promotes pro-hallucinogenic signaling of 5-HT2A receptors through Akt/mTOR pathway,” Neuropsychopharmacology, vol. 43, no. 10, pp. 2028–2035, 2018. View at: Publisher Site | Google Scholar
  76. W. Tao, Y. Dong, Q. Su et al., “Liquiritigenin reverses depression-like behavior in unpredictable chronic mild stress-induced mice by regulating PI3K/Akt/mTOR mediated BDNF/TrkB pathway,” Behavioural Brain Research, vol. 308, pp. 177–186, 2016. View at: Publisher Site | Google Scholar
  77. N. Jiang, J. W. Lv, H. X. Wang et al., “Antidepressant-like effects of 20(S)-protopanaxadiol in a mouse model of chronic social defeat stress and the related mechanisms,” Phytotherapy Research, vol. 33, no. 10, pp. 2726–2736, 2019. View at: Publisher Site | Google Scholar
  78. J. Meffre, S. Chaumont-Dubel, C. Mannoury la Cour et al., “5-HT (6) receptor recruitment of mTOR as a mechanism for perturbed cognition in schizophrenia,” EMBO Molecular Medicine, vol. 4, no. 10, pp. 1043–1056, 2012. View at: Publisher Site | Google Scholar
  79. T. Tumurbaatar, H. Kanasaki, A. Oride et al., “Action of neurotensin, corticotropin-releasing hormone, and RFamide-related peptide-3 in E2-induced negative feedback control: studies using a mouse arcuate nucleus hypothalamic cell model,” Biology of Reproduction, vol. 99, no. 6, pp. 1216–1226, 2018. View at: Publisher Site | Google Scholar
  80. C. V. Dayas, Y. Xu, K. M. Buller, and T. A. Day, “Effects of chronic oestrogen replacement on stress-induced activation of hypothalamic-pituitary-adrenal axis control pathways,” Journal of Neuroendocrinology, vol. 12, no. 8, pp. 784–794, 2000. View at: Publisher Site | Google Scholar
  81. A. Kumar, P. Kumar, V. Pareek et al., “Neurotrophin mediated HPA axis dysregulation in stress induced genesis of psychiatric disorders: orchestration by epigenetic modifications,” Journal of Chemical Neuroanatomy, vol. 102, p. 101688, 2019. View at: Publisher Site | Google Scholar
  82. G. Naert, G. Ixart, L. Tapia-Arancibia, and L. Givalois, “Continuous i.c.v. infusion of brain-derived neurotrophic factor modifies hypothalamic-pituitary-adrenal axis activity, locomotor activity and body temperature rhythms in adult male rats,” Neuroscience, vol. 139, no. 2, pp. 779–789, 2006. View at: Publisher Site | Google Scholar
  83. G. Naert, C. Zussy, C. Tran van Ba et al., “Involvement of endogenous brain-derived neurotrophic factor in hypothalamic-pituitary-adrenal axis activity,” Journal of Neuroendocrinology, vol. 27, no. 11, pp. 850–860, 2015. View at: Publisher Site | Google Scholar
  84. J. M. Hennings, M. A. Kohli, M. Uhr, F. Holsboer, M. Ising, and S. Lucae, “Polymorphisms in the _BDNF_ and _BDNFOS_ genes are associated with hypothalamus-pituitary axis regulation in major depression,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 95, no. 109686, p. 109686, 2019. View at: Publisher Site | Google Scholar
  85. T. T. Dai, B. Wang, Z. Y. Xiao, Y. You, and S. W. Tian, “Apelin-13 upregulates BDNF against chronic stress-induced depression-like phenotypes by ameliorating HPA axis and hippocampal glucocorticoid receptor dysfunctions,” Neuroscience, vol. 390, pp. 151–159, 2018. View at: Publisher Site | Google Scholar
  86. N. Jiang, J. W. Lv, H. X. Wang et al., “Dammarane sapogenins alleviates depression-like behaviours induced by chronic social defeat stress in mice through the promotion of the BDNF signalling pathway and neurogenesis in the hippocampus,” Brain Research Bulletin, vol. 153, pp. 239–249, 2019. View at: Publisher Site | Google Scholar
  87. D. R. Oh, J. S. Yoo, Y. Kim et al., “Vaccinium bracteatum leaf extract reverses chronic restraint stress-induced depression-like behavior in mice: regulation of hypothalamic-pituitary-adrenal axis, serotonin turnover systems, and ERK/Akt phosphorylation,” Frontiers in Pharmacology, vol. 9, p. 604, 2018. View at: Publisher Site | Google Scholar
  88. X. Shi, N. Zhou, J. Cheng et al., “Chlorogenic acid protects PC12 cells against corticosterone-induced neurotoxicity related to inhibition of autophagy and apoptosis,” BMC Pharmacology and Toxicology, vol. 20, no. 1, p. 56, 2019. View at: Publisher Site | Google Scholar
  89. R. D. Ma, G. J. Zhou, M. Qu et al., “Corticosterone induces neurotoxicity in PC12 cells via disrupting autophagy flux mediated by AMPK/mTOR signaling,” CNS Neuroscience & Therapeutics, vol. 26, no. 2, pp. 167–176, 2020. View at: Publisher Site | Google Scholar

Copyright © 2021 Xianquan An et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder
Views652
Downloads464
Citations

Related articles

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.