Synaptic plasticity and depression: new insights from stress and rapid-acting antidepressants
Open accessAbstract
Depression is a common, devastating illness. Current pharmacotherapies help many patients, but high rates of a partial response or no response, and the delayed onset of the effects of antidepressant therapies, leave many patients inadequately treated. However, new insights into the neurobiology of stress and human mood disorders have shed light on mechanisms underlying the vulnerability of individuals to depression and have pointed to novel antidepressants. Environmental events and other risk factors contribute to depression through converging molecular and cellular mechanisms that disrupt neuronal function and morphology, resulting in dysfunction of the circuitry that is essential for mood regulation and cognitive function. Although current antidepressants, such as serotonin-reuptake inhibitors, produce subtle changes that take effect in weeks or months, it has recently been shown that treatment with new agents results in an improvement in mood ratings within hours of dosing patients who are resistant to typical antidepressants. Within a similar time scale, these new agents have also been shown to reverse the synaptic deficits caused by stress.
AI snapshot
Written from the paper’s full text.
TL;DR
This review proposes that depression arises from disrupted synaptic connectivity in mood-regulating circuits, driven by stress-related endocrine, neurotrophic, gonadal, metabolic, and inflammatory factors. It highlights rapid-acting antidepressants such as ketamine and scopolamine, which quickly restore synapses through mTORC1-dependent mechanisms, unlike slower monoamine-based treatments.
Key findings
- Depression is associated with reduced prefrontal cortex and hippocampal volume and fewer prefrontal synapses; stress and glucocorticoids cause neuronal atrophy and synapse loss in rodent models. The paper notes depression affects about 17% of the U.S. population and is roughly twice as common in women.
- Neurotrophic support, especially BDNF, is reduced in stress and depression. The Val66Met BDNF allele, found in approximately 25% of people, impairs BDNF processing and release, is linked to neuronal atrophy, and increases depression risk after early-life stress.
- A single subanesthetic dose of ketamine, given intravenously or intranasally, produces rapid antidepressant effects lasting several days in many treatment-resistant unipolar and bipolar patients and reduces suicidal ideation. Scopolamine also shows rapid antidepressant action. Ketamine’s dissociative effects fade within about one hour, while synaptic and behavioral changes persist for a week or more.
- Mechanistically, ketamine and other NMDA antagonists increase glutamate/AMPA transmission, activate mTORC1, and raise synaptic protein synthesis and synapse number in the prefrontal cortex; rapamycin blocks these effects. Typical SSRIs do not increase mTORC1 signaling. Inflammatory cytokines show a similar dichotomy: low levels support plasticity, while elevated levels contribute to synapse loss; TNF-α neutralization reduced depressive symptoms in psoriasis, and infliximab helped only patients with elevated C-reactive protein.
Methods
- Narrative review synthesizing clinical and preclinical literature on stress, depression, synaptic plasticity, and rapid-acting antidepressants; no primary data collection or systematic search strategy is described.
- Evidence discussed includes human postmortem studies, brain imaging, clinical trials, genetic studies, and rodent chronic stress models. The main analysis is a conceptual integration of molecular and cellular pathways—HPA axis, BDNF, estrogen, metabolic factors, and immune signaling—with synaptic connectivity in depression circuits.
Limitations
- The paper states that clinical heterogeneity, broad diagnostic criteria, and lack of reliable biomarkers complicate understanding depression pathophysiology. It also notes genetic studies are hampered by heterogeneity, low heritability, and multiple low-impact loci.
- The paper states that links between diabetes, obesity, and depression are correlative and need direct functional evidence; ketamine and scopolamine require larger clinical trials; and negative phase II trials for some NMDA and mGlu2/3 targets raise concerns about those targets’ general efficacy.
- Evident from the text: as a narrative review, it does not systematically assess study quality, publication bias, or effect sizes, and many mechanistic claims rely on rodent models and postmortem correlations, leaving causal direction in humans uncertain.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 95 cited sources checked · 0 supported · 0 flagged
- Premisenone given
Current antidepressants such as serotonin reuptake inhibitors produce subtle changes that take effect in weeks or months.
“Although current antidepressants such as serotonin reuptake inhibitors produce subtle changes that take effect in weeks or months, new agents have recently shown improvement in mood ratings within hours of dosing in patients resistant to typical antidepressants.”
Quote in the paperSubstantial claim - Premisecitation
Studies in rodent models confirm that exposure to stress, like depression, causes atrophy and loss of neurons and glia in the PFC and hippocampus.
“Studies in rodent models have extended these human studies, and confirm that exposure to stress, like depression, causes atrophy and loss of neurons and glia in the PFC and hippocampus1011,12.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Duman, R.S. & Aghajanian, G.K. Synaptic dysfunction in depression: potential therapeutic targets. Science 338, 68–72 (2012). source
Not checked in the free run.
- cites [11] McEwen, B.S., Eiland, L., Hunter, R.G. & Miller, M.M. Stress and anxiety: structural plasticity and epigenetic regulation as a consequence of stress. Neuropharmacology 62, 3–12 (2012). source
Not checked in the free run.
- cites [12] Morrison, J.H. & Baxter, M.G. The aging cortical synapse: hallmarks and implications for cognitive decline. Nat. Rev. Neurosci. 13, 240–250 (2012). source
Not checked in the free run.
- Rests on an assumption: Rodent models of chronic stress and depression are valid models for human depression.
- Premisecitation
Among the findings of altered brain structure and function in depression, the most consistent is reduced volume of the prefrontal cortex (PFC) and hippocampus.
“among the findings of altered brain structure and function in depression, the most consistent is reduced volume of the Prefrontal cortext (PFC) and hippocampus7,8.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] MacQueen, G.M., Yucel, K., Taylor, V.H., Macdonald, K. & Joffe, R. Posterior hippocampal volumes are associated with remission rates in patients with major depressive disorder. Biol. Psychiatry 64, 880–883 (2008). source
Not checked in the free run.
- cites [8] Savitz, J. & Drevets, W.C. Bipolar and major depressive disorder: neuroimaging the developmental-degenerative divide. Neurosci. Biobehav. Rev. 33, 699–771 (2009). source
Not checked in the free run.
- Premisecitation
Some factors increase resilience and boost the ability to avoid the damaging effects of traumatic or chronic stress.
“Conversely, some factors increase resilience and boost the ability to avoid the damaging effects of traumatic or chronic stress6.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Russo, S.J., Murrough, J.W., Han, M.H., Charney, D.S. & Nestler, E.J. Neurobiology of resilience. Nat. Neurosci. 15, 1475–1484 (2012). source
Not checked in the free run.
- Premisecitation
Recent postmortem studies demonstrate reduced synapse number in PFC of depressed subjects.
“Recent postmortem studies also demonstrate reduced synapse number in PFC of depressed subjects9.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Kang, H.J. et al. Decreased expression of synapse-related genes and loss of synapses in major depressive disorder. Nat. Med. 18, 1413–1417 (2012). source
Not checked in the free run.
- Rests on an assumption: Synaptic deficits observed in postmortem PFC of depressed subjects are causally related to depressive symptoms.
- Premisenone given
New agents have been shown to reverse the synaptic deficits caused by stress within a similar time scale.
“These new agents have also been shown to reverse the synaptic deficits caused by stress within a similar time scale.”
Quote in the paperSubstantial claim - Interpretationreasoning
Environmental events and other risk factors contribute to depression through converging molecular and cellular mechanisms that disrupt neuronal function and morphology, resulting in dysfunction of the circuitry essential for mood regulation and cognitive function.
“Environmental events and other risk factors contribute to depression through converging molecular and cellular mechanisms that disrupt neuronal function and morphology, resulting in dysfunction of the circuitry essential for mood regulation and cognitive function.”
Quote in the paperSubstantial claim - Premisenone given
New agents have shown improvement in mood ratings within hours of dosing in patients resistant to typical antidepressants.
“new agents have recently shown improvement in mood ratings within hours of dosing in patients resistant to typical antidepressants.”
Quote in the paperSubstantial claim - Premisecitation
Glia play an important role in regulating the synthesis and reuptake of glutamate and thereby influence synaptic function and morphology.
“Glia also play an important role in regulating the synthesis and reuptake of glutamate and thereby influence synaptic function and morphology16,17.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [16] Sanacora, G., Zarate, C.A., Krystal, J.H. & Manji, H.K. Targeting the glutamatergic system to develop novel, improved therapeutics for mood disorders. Nat. Rev. Drug Discov. 7, 426–437 (2008). source
Not checked in the free run.
- cites [17] Popoli, M., Yan, Z., McEwen, B.S. & Sanacora, G. The stressed synapse: the impact of stress and glucocorticoids on glutamate transmission. Nat. Rev. Neurosci. 13, 22–37 (2012). source
Not checked in the free run.
- Premisecitation
Carriers of the Val66Met allele are at increased risk for depression when exposed to early life stress or trauma.
“In addition, carriers of the Val66Met allele are at increased risk for depression when exposed to early life stress or trauma43–45.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [43] Gatt, J.M. et al. Interactions between BDNFVal66Met polymorphism and early-life stress predict brain and arousal pathways to syndromal depression and anxiety. Mol. Psychiatry 14, 681–695 (2009). source
Not checked in the free run.
- cites [44] Kaufman, J. et al. Brain-derived neurotrophic factor–5-HTTLPR gene interactions and environmental modifiers of depression in children. Biol. Psychiatry 59, 673–680 (2006). source
Not checked in the free run.
- cites [45] Kim, J.M. et al. Interactions between life stressors and susceptibility genes (5-HTTLPR and BDNF) on depression in Korean elders. Biol. Psychiatry 62, 423–428 (2007). source
Not checked in the free run.
- Rests on an assumption: The Val66Met allele in mice models the human BDNF polymorphism sufficiently to infer human risk.
- Premisenone given
Repeated stress and sustained elevation of glucocorticoids has deleterious effects on multiple organ systems, including the brain.
“However, repeated stress and sustained elevation of glucocorticoids has deleterious effects on multiple organ systems, including the brain.”
Quote in the paperSubstantial claim - Premisecitation
Fluctuations of gonadal steroids associated with the reproductive life cycle contribute to depression vulnerability.
“fluctuations of gonadal steroids (i.e., estrogen and progesterone) associated with the reproductive life cycle (puberty, menstrual cycle, childbirth, and menopause) contribute to depression vulnerability56,57.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [56] Bloch, M., Daly, R.C. & Rubinow, D.R. Endocrine factors in the etiology of postpartum depression. Compr. Psychiatry 44, 234–246 (2003). source
Not checked in the free run.
- cites [57] Rubinow, D.R. & Girdler, S.S. Hormones, heart disease and health: individualized medicine versus throwing the baby out with the bathwater. Depress. Anxiety 28, E1–E15 (2011). source
Not checked in the free run.
- Premisecitation
Rapid acting antidepressants stimulate mTORC1 signaling in the prefrontal cortex.
“Conversely, rapid acting antidepressants (discussed below) stimulate mTORC1 signaling in the prefrontal cortex52,53.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [52] Li, N. et al. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 329, 959–964 (2010). source
Not checked in the free run.
- cites [53] Voleti, B. et al. Scopolamine rapidly increases mammalian target of rapamycin complex 1 signaling, synaptogenesis and antidepressant behavioral responses. Biol. Psychiatry 74, 742–749 (2013). source
Not checked in the free run.
- Premisenone given
The most significant susceptibility factor for depression is acute traumatic or chronic stress.
“The most significant susceptibility factor for depression is acute traumatic or chronic stress.”
Quote in the paperNot a substantial claim - Premisecitation
The expression of REDD1, a negative regulator of mTORC1, is increased in PFC of depressed subjects.
“Postmortem studies demonstrated that the expression of REDD1, a negative regulator of mTORC1, is increased in PFC of depressed subjects30.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] Ota, K.T. et al. REDD1 is essential for stress-induced synaptic loss and depressive behavior. Nat. Med. 20, 531–535 (2014). source
Not checked in the free run.
- Premisecitation
Selective NR2B receptor antagonists and non-selective, low trapping NMDA receptor antagonists, as well as allosteric modulators of NMDA channels such as GLYX-13 produce antidepressant responses in rodent models and in humans.
“Preclinical and clinical studies demonstrate that selective NR2B receptor antagonists and non-selective, low trapping NMDA receptor antagonists, as well as allosteric modulators of NMDA channels such as GLYX-13 produce antidepressant responses in rodent models and in humans, supporting this possibility52,55,160,168,169.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [52] Li, N. et al. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 329, 959–964 (2010). source
Not checked in the free run.
- cites [55] Li, N. et al. Glutamate N-methyl-d-aspartate receptor antagonists rapidly reverse behavioral and synaptic deficits caused by chronic stress exposure. Biol. Psychiatry 69, 754–761 (2011). source
Not checked in the free run.
- cites [160] Maeng, S. et al. Cellular mechanisms underlying the antidepressant effects of ketamine: role of α-amino-3-hydroxy-5-methylisoxazole-4–propionic acid receptors. Biol. Psychiatry 63, 349–352 (2008). source
Not checked in the free run.
- cites [168] Preskorn, S. et al. A placebo-controlled trial of the NR2B subunit–specific NMDA antagonist CP-101,606 plus paroxetine for treatment-resistant depression (TRD). (115th Annual Meeting of the American Psychological Association) (American Psychological Association, Washington, D.C., 2007).
Not checked in the free run.
- cites [169] Sanacora, G. et al. Lanicemine: a low-trapping NMDA channel blocker produces sustained antidepressant efficacy with minimal psychotomimetic adverse effects. Mol. Psychiatry 19, 978–985 (2014). source
Not checked in the free run.
- Premisecitation
Ketamine-induction of antidepressant behavioral responses are blocked in BDNF null mice.
“This possibility is supported by recent reports that ketamine-induction of antidepressant behavioral responses are blocked in BDNF null mice164,165.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [164] Autry, A.E. et al. NMDA receptor blockade at rest triggers rapid behavioral antidepressant responses. Nature 475, 91–95 (2011). source
Not checked in the free run.
- cites [165] Liu, R.J. et al. Brain-derived neurotrophic factor Val66Met allele impairs basal and ketamine-stimulated synaptogenesis in prefrontal cortex. Biol. Psychiatry 71, 996–1005 (2012). source
Not checked in the free run.
- Interpretationreasoning
The mTORC1 dendritic translational cascade and synapse formation may represent a common final pathway for a wide range of rapid acting, efficacious antidepressants.
“Together, these studies provide additional supporting evidence that the mTORC1 dendritic translational cascade and synapse formation may represent a common final pathway for a wide range of rapid acting, efficacious antidepressants.”
Quote in the paperSubstantial claim- Rests on an assumption: The mTORC1 signaling changes observed in rodents and postmortem tissue are causally involved in human depression and antidepressant response.
- Premisecitation
Acute or chronic administration of typical antidepressants (e.g., SSRIs) does not increase mTORC1 signaling.
“In contrast to the actions of NMDA antagonists, acute or chronic administration of typical antidepressants (e.g., SSRIs) does not increase mTORC1 signaling52.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Li, N. et al. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 329, 959–964 (2010). source
Not checked in the free run.
- Premisecitation
A single, intravenous or intranasal sub-anesthetic dose of ketamine produces a rapid onset of antidepressant response that can last several days in the majority of treatment resistant unipolar and bipolar depressed patients.
“A single, intravenous or intranasal sub-anesthetic dose of ketamine, a non-competitive NMDA glutamate receptor channel blocker, produces a rapid onset of antidepressant response that can last several days in the majority of treatment resistant unipolar and bipolar depressed patients participating in a growing number of clinical trials148–150.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [148] Berman, R.M. et al. Antidepressant effects of ketamine in depressed patients. Biol. Psychiatry 47, 351–354 (2000). source
Not checked in the free run.
- cites [149] Diazgranados, N. et al. A randomized add-on trial of an N-methyl-d-aspartate antagonist in treatment-resistant bipolar depression. Arch. Gen. Psychiatry 67, 793–802 (2010). source
Not checked in the free run.
- cites [150] Zarate, C.A. Jr. et al. A randomized trial of an N-methyl-d-aspartate antagonist in treatment-resistant major depression. Arch. Gen. Psychiatry 63, 856–864 (2006). source
Not checked in the free run.
- Premisecitation
NMDA receptor blockade increases glutamate transmission in rodents and humans via blockade of NMDA receptors on GABAergic interneurons.
“There is evidence that NMDA receptor blockade increases glutamate transmission in rodents and humans via blockade of NMDA receptors on GABAergic interneurons27,161,162.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [27] Moghaddam, B., Adams, B., Verma, A. & Daly, D. Activation of glutamatergic neurotransmission by ketamine: a novel step in the pathway from NMDA receptor blockade to dopaminergic and cognitive disruptions associated with the prefrontal cortex. J. Neurosci. 17, 2921–2927 (1997). source
Not checked in the free run.
- cites [161] Homayoun, H. & Moghaddam, B. NMDA receptor hypofunction produces opposite effects on prefrontal cortex interneurons and pyramidal neurons. J. Neurosci. 27, 11496–11500 (2007). source
Not checked in the free run.
- cites [162] Stone, J.M. et al. Ketamine effects on brain GABA and glutamate levels with 1H-MRS: relationship to ketamine-induced psychopathology. Mol. Psychiatry 17, 664–665 (2012). source
Not checked in the free run.
- Premisecitation
Only patients with elevated C reactive protein show an antidepressant response to the TNF-α antagonist infliximab.
“A second study supports and extends these findings, demonstrating that only patients with elevated C reactive protein, an inflammation biomarker, show an antidepressant response to the TNF-α antagonist infliximab131.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [131] Raison, C.L. et al. A randomized controlled trial of the tumor necrosis factor antagonist infliximab for treatment-resistant depression: the role of baseline inflammatory biomarkers. JAMA Psychiatry 70, 31–41 (2013). source
Not checked in the free run.
- Premisecitation
The effects of ketamine and other NMDA receptor antagonists on increased synthesis of synaptic proteins required for synapse formation and maturation are blocked by pre-administration of the selective mTORC1 inhibitor rapamycin.
“This leads to increased synthesis of synaptic proteins that are required for synapse formation and maturation, effects that are blocked by pre-administration of the selective mTORC1 inhibitor rapamycin52,156,159.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [52] Li, N. et al. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 329, 959–964 (2010). source
Not checked in the free run.
- cites [156] Miller, O.H. et al. GluN2B-containing NMDA receptors regulate depression-like behavior and are critical for the rapid antidepressant actions of ketamine. eLife 3, e03581 (2014). source
Not checked in the free run.
- cites [159] Liu, R.J., Ota, K.T., Dutheil, S., Duman, R.S. & Aghajanian, G.K. Ketamine strengthens CRF-activated amygdala inputs to basal dendrites in mPFC layer V pyramidal cells in the prelimbic but not the infralimbic subregion, a key suppressor of stress responses. Neuropsychopharmacology 40, 2066–2075 (2015). source
Not checked in the free run.
- Premisecitation
Neutralization of TNF-α in patients with psoriasis also reduces depressive symptoms.
“A role for inflammatory cytokines in the pathophysiology and treatment of depression in humans is supported by recent studies demonstrating that neutralization of TNF-α in patients with psoriasis also reduces depressive symptoms130.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [130] Krishnan, V. et al. Molecular adaptations underlying susceptibility and resistance to social defeat in brain reward regions. Cell 131, 391–404 (2007). source
Not checked in the free run.
- Premisecitation
Ketamine reduces suicide ideation.
“Recent studies report that ketamine also reduces suicide ideation, a major advance over typical antidepressants with low efficacy and delayed onset of action151,152.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [151] DiazGranados, N. et al. Rapid resolution of suicidal ideation after a single infusion of an N-methyl-d-aspartate antagonist in patients with treatment-resistant major depressive disorder. J. Clin. Psychiatry 71, 1605–1611 (2010). source
Not checked in the free run.
- cites [152] Price, R.B., Nock, M.K., Charney, D.S. & Mathew, S.J. Effects of intravenous ketamine on explicit and implicit measures of suicidality in treatment-resistant depression. Biol. Psychiatry 66, 522–526 (2009). source
Not checked in the free run.
- Interpretationreasoning
The atrophy of neurons and loss of glutamatergic synaptic connections caused by stress are key contributors to the symptoms of depression.
“The atrophy of neurons and loss of glutamatergic synaptic connections caused by stress are key contributors to the symptoms of depression.”
Quote in the paperSubstantial claim- Rests on an assumption: Synaptic deficits observed in postmortem PFC of depressed subjects are causally related to depressive symptoms.
- Premisecitation
Low doses of scopolamine produce rapid antidepressant actions in depressed patients.
“In addition to ketamine, there is evidence that low doses of scopolamine, a nonselective cholinergic muscarinic receptor antagonist, also produces rapid antidepressant actions in depressed patients, providing early evidence for class of rapid acting agent different from ketamine153.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [153] Drevets, W.C. & Furey, M.L. Replication of scopolamine's antidepressant efficacy in major depressive disorder: a randomized, placebo-controlled clinical trial. Biol. Psychiatry 67, 432–438 (2010). source
Not checked in the free run.
- Premisecitation
Scopolamine acutely stimulates mTORC1 signaling, leading to increased synaptogenesis in the PFC.
“Scopolamine also acutely stimulates mTORC1 signaling, leading to increased synaptogenesis in the PFC53 (Figure 4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Voleti, B. et al. Scopolamine rapidly increases mammalian target of rapamycin complex 1 signaling, synaptogenesis and antidepressant behavioral responses. Biol. Psychiatry 74, 742–749 (2013). source
Not checked in the free run.
- Premisecitation
Ketamine-induction of mTORC1 signaling and antidepressant behavior is dependent on glutamate transmission and AMPA receptor activation.
“Ketamine-induction of mTORC1 signaling and antidepressant behavior is dependent on glutamate transmission and AMPA receptor activation52,160.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [52] Li, N. et al. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 329, 959–964 (2010). source
Not checked in the free run.
- cites [160] Maeng, S. et al. Cellular mechanisms underlying the antidepressant effects of ketamine: role of α-amino-3-hydroxy-5-methylisoxazole-4–propionic acid receptors. Biol. Psychiatry 63, 349–352 (2008). source
Not checked in the free run.
- Premisecitation
A selective muscarinic 1 antagonist produces antidepressant actions similar to scopolamine in rodent models.
“Studies to identify the receptor subtype indicate that a selective muscarinic 1 antagonist produces antidepressant actions similar to scopolamine in rodent models173,174.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [173] Navarria, A. et al. Rapid antidepressant actions of scopolamine: role of medial prefrontal cortex and M1-subtype muscarinic acetylcholine receptors. Neurobiol. Dis. 82, 254–261 (2015). source
Not checked in the free run.
- cites [174] Witkin, J.M. et al. M1 and M2 muscarinic receptor subtypes regulate antidepressant-like effects of the rapidly acting antidepressant scopolamine. J. Pharmacol. Exp. Ther. 351, 448–456 (2014). source
Not checked in the free run.
- Premisecitation
Brain imaging studies demonstrate that ketamine increases connectivity between the PFC and other limbic structures in depressed patients.
“Brain imaging studies support this possibility demonstrating that ketamine increases connectivity between the PFC and other limbic structures in depressed patients166,167.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [166] Gass, N. et al. Sub-anesthetic ketamine modulates intrinsic BOLD connectivity within the hippocampal-prefrontal circuit in the rat. Neuropsychopharmacology 39, 895–906 (2014). source
Not checked in the free run.
- cites [167] Murrough, J.W. et al. Regulation of neural responses to emotion perception by ketamine in individuals with treatment-resistant major depressive disorder. Transl. Psychiatry 5, e509 (2015). source
Not checked in the free run.
- May combine two claims. 25
- Classified as probably not a substantial claim. 5
May combine two claims.
PremisecitationCurrently available antidepressant medications, alone and in combination, are associated with high rates of partial- or non-response, delayed response onset of weeks to months, and limited duration of efficacy.
“Currently available antidepressant medications, alone and in combination, are associated with high rates of partial- or non-response, delayed response onset of weeks to months, and limited duration of efficacy5.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] Gaynes, B.N. et al. What did STAR*D teach us? Results from a large-scale, practical, clinical trial for patients with depression. Psychiatr. Serv. 60, 1439–1445 (2009). source
Not checked in the free run.
May combine two claims.
Premisenone givenThe extent of volume reduction is correlated with length of illness and time of treatment, and with the severity of depression.
“The extent of volume reduction is correlated with length of illness and time of treatment, and with the severity of depression.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenAbnormal abundance or function of the hypothalamic-pituitary-adrenal (HPA) axis, neurotrophic factors, sex steroids, metabolic and/or inflammatory cytokines can lead to alterations in neurotransmitters, intracellular signaling, gene transcription, translation, and epigenetic changes that can contribute to short-term and long-lasting imbalances of neuronal function and behavior.
“Abnormal abundance or function of the hypothalamic-pituitary-adrenal (HPA) axis, neurotrophic factors, sex steroids, metabolic and/or inflammatory cytokines can lead to alterations in neurotransmitters, intracellular signaling, gene transcription, translation, and epigenetic changes that can contribute to short-term and long-lasting imbalances of neuronal function and behavior.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenSusceptibility to depression, as well as other psychiatric illnesses, is influenced by a variety of genetic, epigenetic, endocrine, and environmental risk factors.
“Susceptibility to depression, as well as other psychiatric illnesses is influenced by a variety of genetic, epigenetic, endocrine, and environmental risk factors (Fig. 1; Box 1,2).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fig. 1; Box 1,2
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenSusceptible individuals exposed to traumatic or stressful life events may develop depression; whether they develop disease may be influenced by differences in genetic make-up, prior stressful experiences, and other physiological parameters.
“For example, susceptible individuals exposed to traumatic or stressful life events may develop depression; whether they develop disease may be influenced by differences in genetic make-up, prior stressful experiences, and other physiological parameters (e.g., gonadal hormone levels, metabolic imbalances).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe expression and function of mTORC1 signaling proteins is reduced in postmortem PFC of depressed subjects, which could contribute to decreased synthesis of synaptic proteins in PFC of depressed subjects.
“It is interesting to note that the expression and function of mTORC1 signaling proteins is reduced in postmortem PFC of depressed subjects, which could contribute to decreased synthesis of synaptic proteins in PFC of depressed subjects50,51.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [50] Feyissa, A.M., Chandran, A., Stockmeier, C.A. & Karolewicz, B. Reduced levels of NR2A and NR2B subunits of NMDA receptor and PSD-95 in the prefrontal cortex in major depression. Prog. Neuropsychopharmacol. Biol. Psychiatry 33, 70–75 (2009). source
Not checked in the free run.
- cites [51] Jernigan, C.S. et al. The mTOR signaling pathway in the prefrontal cortex is compromised in major depressive disorder. Prog. Neuropsychopharmacol. Biol. Psychiatry 35, 1774–1779 (2011). source
Not checked in the free run.
May combine two claims.
PremisecitationDepression is often associated with elevated HPA axis activity and increased levels of glucocorticoids, as well as disruption of negative feedback mechanisms.
“Depression is often associated with elevated HPA axis activity and increased levels of glucocorticoids, as well as disruption of negative feedback mechanisms21–23.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [21] Krishnan, V. & Nestler, E.J. The molecular neurobiology of depression. Nature 455, 894–902 (2008). source
Not checked in the free run.
- cites [22] Manji, H.K., Drevets, W.C. & Charney, D.S. The cellular neurobiology of depression. Nat. Med. 7, 541–547 (2001). source
Not checked in the free run.
- cites [23] Nemeroff, C.B. & Owens, M.J. Treatment of mood disorders. Nat. Neurosci. 5, 1068–1070 (2002). source
Not checked in the free run.
May combine two claims.
PremisecitationEstrogen administration has antidepressant actions in rodent behavioral models, and there has been clinical evidence of estrogen's antidepressant effects in humans, although there have also been negative reports.
“Estrogen administration also has antidepressant actions in rodent behavioral models, and there has been clinical evidence of estrogen’s antidepressant effects in humans, although there have also been negative reports57,59.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [57] Rubinow, D.R. & Girdler, S.S. Hormones, heart disease and health: individualized medicine versus throwing the baby out with the bathwater. Depress. Anxiety 28, E1–E15 (2011). source
Not checked in the free run.
- cites [59] Hughes, Z.A. et al. Estrogen receptor neurobiology and its potential for translation into broad-spectrum therapeutics for CNS disorders. Curr. Mol. Pharmacol. 2, 215–236 (2009). source
Not checked in the free run.
May combine two claims.
PremisecitationThe Val66Met allele, found in approximately 25 percent of the population, blocks the processing and release of mature BDNF and is sufficient to cause atrophy of neurons in the hippocampal and mPFC of mice with this allele.
“Studies of a human BDNF polymorphism, Val66Met found in approximately 25 percent of the population have been insightful. The Val66Met allele, which blocks the processing and release of mature BDNF, is sufficient to cause atrophy of neurons in the hippocampal37 and mPFC of mice with this allele38.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [37] Chen, H., Pandey, G.N. & Dwivedi, Y. Hippocampal cell proliferation regulation by repeated stress and antidepressants. Neuroreport 17, 863–867 (2006). source
Not checked in the free run.
- cites [38] Liu, R. et al. Brain-derived neurotrophic factor Val66Met allele impairs basal and ketamine-stimulated synaptogenesis in prefrontal cortex. Biol. Psychiatry 71, 996–1005 (2012). source
Not checked in the free run.
- Rests on an assumption: The Val66Met allele in mice models the human BDNF polymorphism sufficiently to infer human risk.
May combine two claims.
PremisecitationSerum levels of the pro-inflammatory cytokines interleukin-1β (IL-1β), IL-6, and tumor necrosis factor α (TNF-α) are increased in depressed patients, and levels are normalized by antidepressant treatment.
“Serum levels of the pro-inflammatory cytokines interleukin-1β (IL-1β), IL-6, and tumor necrosis factor α (TNF-α) are increased in depressed patients, and levels are normalized by antidepressant treatment118,119.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [118] Dowlati, Y. et al. A meta-analysis of cytokines in major depression. Biol. Psychiatry 67, 446–457 (2010). source
Not checked in the free run.
- cites [119] Howren, M.B., Lamkin, D.M. & Suls, J. Associations of depression with C-reactive protein, IL-1 and IL-6: a meta-analysis. Psychosom. Med. 71, 171–186 (2009). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDepression is approximately twice as common in women compared to men.
“Depression is approximately twice as common in women compared to men2”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Kessler, R.C. et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). J. Am. Med. Assoc. 289, 3095–3105 (2003). source
Not checked in the free run.
May combine two claims.
PremisecitationBDNF is required for the behavioral actions of antidepressants, and deletion increases vulnerability to depression.
“Mutant mouse studies also demonstrate that BDNF is required for the behavioral actions of antidepressants, and that deletion increases vulnerability to depression41,42.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [41] Autry, A.E., Adachi, M., Cheng, P. & Monteggia, L.M. Gender-specific impact of brain-derived neurotrophic factor signaling on stress-induced depression-like behavior. Biol. Psychiatry 66, 84–90 (2009). source
Not checked in the free run.
- cites [42] Duman, C.H., Schlesinger, L., Kodama, M., Russell, D.S. & Duman, R.S. A role for MAP kinase signaling in behavioral models of depression and antidepressant treatment. Biol. Psychiatry 61, 661–670 (2007b). source
Not checked in the free run.
May combine two claims.
PremisecitationStress and depression decrease the expression and function of BDNF in prefrontal cortex and hippocampus, as well as decrease the levels in the blood of depressed patients.
“Stress and depression decrease the expression and function of BDNF (Figure 2) in prefrontal cortex and hippocampus, structures implicated in depression, as well as decrease the levels in the blood of depressed patients21,32–35.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [21] Krishnan, V. & Nestler, E.J. The molecular neurobiology of depression. Nature 455, 894–902 (2008). source
Not checked in the free run.
- cites [32] Bocchio-Chiavetto, L. et al. Serum and plasma BDNF levels in major depression: a replication study and meta-analyses. World J. Biol. Psychiatry 11, 763–773 (2010). source
Not checked in the free run.
- cites [33] Duman, R.S. & Monteggia, L.M. A neurotrophic model for stress-related mood disorders. Biol. Psychiatry 59, 1116–1127 (2006). source
Not checked in the free run.
- cites [34] Dwivedi, Y. Brain-derived neurotrophic factor: role in depression and suicide. Neuropsychiatr. Dis. Treat. 5, 433–449 (2009). source
Not checked in the free run.
- cites [35] Turner, C.A., Akil, H., Watson, S.J. & Evans, S.J. The fibroblast growth factor system and mood disorders. Biol. Psychiatry 59, 1128–1135 (2006). source
Not checked in the free run.
- Rests on an assumption: Changes in BDNF levels in blood reflect brain BDNF function relevant to depression.
May combine two claims.
Premisenone givenIn humans, individuals with the Val66Met allele have reduced episodic memory and executive function, and reduced hippocampal volume.
“In humans, individuals with the Val66Met allele have reduced episodic memory and executive function, and reduced hippocampal volume.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationChronic exposure of rodents to adrenal-glucocorticoids decreases synaptic number and function and causes atrophy of neurons in the prefrontal cortex and hippocampus, regions undergoing atrophy and disruption of connectivity in depressed subjects.
“Notably, chronic exposure of rodents to adrenal-glucocorticoids decreases synaptic number and function and causes atrophy of neurons in the prefrontal cortex and hippocampus, regions undergoing atrophy and disruption of connectivity in depressed subjects24,25.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [24] Liu, R.J. & Aghajanian, G.K. Stress blunts serotonin- and hypocretin-evoked EPSCs in prefrontal cortex: role of corticosterone-mediated apical dendritic atrophy. Proc. Natl. Acad. Sci. USA 105, 359–364 (2008). source
Not checked in the free run.
- cites [25] Magariños, A.M. & McEwen, B.S. Stress-induced atrophy of apical dendrites of hippocampal CA3c neurons: involvement of glucocorticoid secretion and excitatory amino acid receptors. Neuroscience 69, 89–98 (1995). source
Not checked in the free run.
- Rests on an assumption: Rodent models of chronic stress and depression are valid models for human depression.
May combine two claims.
Premisenone givenTypical antidepressant treatments (e.g., SSRIs) increase BDNF expression and block the deficits in growth factor expression caused by stress and depression.
“Conversely, typical antidepressant treatments (e.g., SSRIs) increase BDNF expression and block the deficits in growth factor expression caused by stress and depression.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenA hallmark feature of the stress response is activation of the HPA axis and increased circulating levels of glucocorticoids, designed to provide acute phase maximum physiological support for the fight or flight response.
“A hallmark feature of the stress response is activation of the HPA axis and increased circulating levels of glucocorticoids, designed to provide acute phase maximum physiological support for the fight or flight response.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSynaptogenesis is regulated by a complex interaction of signaling pathways, and disruption of many key pathways has been implicated in susceptibility to depression, including loss of neurotrophic factor support, disruption of estradiol cycling, and elevation of inflammatory cytokines.
“Synaptogenesis is regulated by a complex interaction of signaling pathways, and disruption of many of the key pathways have been implicated in the susceptibility to depression, including loss of neurotrophic factor support, disruption of estradiol cycling, and elevation of inflammatory cytokines10”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Duman, R.S. & Aghajanian, G.K. Synaptic dysfunction in depression: potential therapeutic targets. Science 338, 68–72 (2012). source
Not checked in the free run.
May combine two claims.
PremisecitationMetabolic disorders such as obesity and diabetes are associated with elevated rates of depression and share risk factors such as social and traumatic stress.
“Metabolic disorders such as obesity and diabetes are associated with elevated rates of depression and share risk factors such as social and traumatic stress78–82,83(Figure 4).”
Quote in the paperNot a substantial claim0 of 6 sources checked- cites [78] Leone, T., Coast, E., Narayanan, S. & de Graft Aikins, A. Diabetes and depression comorbidity and socio-economic status in low- and middle-income countries (LMICs): a mapping of the evidence. Global. Health 8, 39 (2012). source
Not checked in the free run.
- cites [79] Luppino, F.S. et al. Overweight, obesity and depression: a systematic review and meta-analysis of longitudinal studies. Arch. Gen. Psychiatry 67, 220–229 (2010). source
Not checked in the free run.
- cites [80] Mansur, R.B., Brietzke, E. & McIntyre, R.S. Is there a 'metabolic-mood syndrome'? A review of the relationship between obesity and mood disorders. Neurosci. Biobehav. Rev. 52, 89–104 (2015). source
Not checked in the free run.
- cites [81] van Dooren, F.E. et al. Depression and risk of mortality in people with diabetes mellitus: a systematic review and meta-analysis. PLoS One 8, e57058 (2013). source
Not checked in the free run.
- cites [82] Vogelzangs, N. et al. Association of depressive disorders, depression characteristics and antidepressant medication with inflammation. Transl. Psychiatry 2, e79 (2012). source
Not checked in the free run.
- cites [83] Rethorst, C.D., Bernstein, I. & Trivedi, M.H. Inflammation, obesity and metabolic syndrome in depression: analysis of the 2009–2010 National Health and Nutrition Examination Survey (NHANES). J. Clin. Psychiatry 75, e1428–e1432 (2014). source
Not checked in the free run.
May combine two claims.
PremisecitationHeterozygous deletion of BDNF decreases spine density and dendrite length of hippocampal and PFC neurons, decreases hippocampal volume, and occludes the effects of chronic stress.
“Heterozygous deletion of BDNF also decreases spine density and dendrite length of hippocampal and PFC neurons, decreases hippocampal volume, and occludes the effects of chronic stress39,40.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [39] Liu, R.J. et al. GSK-3 inhibition potentiates the synaptogenic and antidepressant-like effects of subthreshold doses of ketamine. Neuropsychopharmacology 38, 2268–2277 (2013). source
Not checked in the free run.
- cites [40] Magariños, A.M. et al. Effect of brain-derived neurotrophic factor haploinsufficiency on stress-induced remodeling of hippocampal neurons. Hippocampus 21, 253–264 (2011). source
Not checked in the free run.
May combine two claims.
PremisecitationAcute stress increases levels of extracellular glutamate in rodents, suggesting that excitotoxicity could contribute to neuronal atrophy.
“Acute stress also increases levels of extracellular glutamate in rodents, suggesting that excitotoxicity could contribute to neuronal atrophy26,27.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [26] Lowy, M.T., Wittenberg, L. & Yamamoto, B.K. Effect of acute stress on hippocampal glutamate levels and spectrin proteolysis in young and aged rats. J. Neurochem. 65, 268–274 (1995). source
Not checked in the free run.
- cites [27] Moghaddam, B., Adams, B., Verma, A. & Daly, D. Activation of glutamatergic neurotransmission by ketamine: a novel step in the pathway from NMDA receptor blockade to dopaminergic and cognitive disruptions associated with the prefrontal cortex. J. Neurosci. 17, 2921–2927 (1997). source
Not checked in the free run.
May combine two claims.
PremisecitationChronic stress decreases mTORC1 signaling proteins; overexpression of REDD1 causes loss of synapses in the PFC; REDD1 deletion mutant mice are resilient to the synaptic and behavioral deficits caused by chronic stress.
“Rodent studies also demonstrated that chronic stress decreases mTORC1 signaling proteins30,54,55, that over expression of REDD1 causes loss of synapses in the PFC, and that REDD1 deletion mutant mice are resilient to the synaptic and behavioral deficits caused by chronic stress30”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [30] Ota, K.T. et al. REDD1 is essential for stress-induced synaptic loss and depressive behavior. Nat. Med. 20, 531–535 (2014). source
Not checked in the free run.
- cites [54] Chandran, A. et al. Reduced phosphorylation of the mTOR signaling pathway components in the amygdala of rats exposed to chronic stress. Prog. Neuropsychopharmacol. Biol. Psychiatry 40, 240–245 (2013). source
Not checked in the free run.
- cites [55] Li, N. et al. Glutamate N-methyl-d-aspartate receptor antagonists rapidly reverse behavioral and synaptic deficits caused by chronic stress exposure. Biol. Psychiatry 69, 754–761 (2011). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningIn preclinical models, new rapid-acting antidepressant agents rapidly increase synaptic connections and reverse the loss of synapses caused by stress, thereby directly targeting the pathophysiology underlying depression.
“Importantly, in preclinical models these new agents rapidly increase synaptic connections and reverse the loss of synapses caused by stress, thereby directly targeting the pathophysiology underlying depression (Figure 4).”
Quote in the paperSubstantial claim- Rests on an assumption: Rodent models of chronic stress and depression are valid models for human depression.
May combine two claims.
PremisecitationDifferent classes of antidepressants, including SSRIs, dual and triple reuptake inhibitors, dopaminergic agents, tricyclics, and ECT increase BDNF expression and the behavioral actions of these agents are blocked in BDNF deletion mutant mice.
“Different classes of antidepressants, including SSRIs, dual and triple reuptake inhibitors, dopaminergic agents, tricyclics, and ECT increase BDNF expression and the behavioral actions of these agents are blocked in BDNF deletion mutant mice135–137, 138.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [135] Chen, Z.-Y. Genetic variant BDNFVal66Met polymorphism alters anxiety-related behavior. Science 314, 140–143 (2006b). source
Not checked in the free run.
- cites [136] Duman, R.S. & Voleti, B. Signaling pathways underlying the pathophysiology and treatment of depression: novel mechanisms for rapid-acting agents. Trends Neurosci. 35, 47–56 (2012). source
Not checked in the free run.
- cites [137] Yu, H. et al. Variant brain-derived neurotrophic factor Val66Met polymorphism alters vulnerability to stress and response to antidepressants. J. Neurosci. 32, 4092–4101 (2012). source
Not checked in the free run.
- cites [138] Jiang, B. et al. SKF83959 produces antidepressant effects in a chronic social-defeat stress model of depression through the BDNF-TrkB pathway. Int. J. Neuropsychopharmacol. 18, pyu096 (2015).
Not checked in the free run.
May combine two claims.
PremisecitationKetamine and other NMDA receptor antagonists increase mTORC1 signaling via activation of Akt and ERK and increase synaptic number and function in the PFC.
“In contrast to the effects of stress, ketamine and other NMDA receptor antagonists increase mTORC1 signaling via activation of Akt and ERK and increase synaptic number and function in the PFC52,156–158(Figure 4).”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [52] Li, N. et al. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 329, 959–964 (2010). source
Not checked in the free run.
- cites [156] Miller, O.H. et al. GluN2B-containing NMDA receptors regulate depression-like behavior and are critical for the rapid antidepressant actions of ketamine. eLife 3, e03581 (2014). source
Not checked in the free run.
- cites [157] Paul, R.K. et al. (R,S)-ketamine metabolites (R,S)-norketamine and (2S,6S)-hydroxynorketamine increase mammalian target of rapamycin function. Anesthesiology 121, 149–159 (2014). source
Not checked in the free run.
- cites [158] Zhou, W. et al. Ketamine-induced antidepressant effects are associated with AMPA receptor–mediated upregulation of mTOR and BDNF in rat hippocampus and prefrontal cortex. Eur. Psychiatry 29, 419–423 (2014). source
Not checked in the free run.
May combine two claims.
PremisecitationChronic administration of typical antidepressants that block the reuptake and breakdown of monoamines increase synaptic plasticity at several levels including increased birth of new neurons in the adult hippocampus, increased neurotrophic factor expression, and regulation of synapse formation.
“Chronic administration of typical antidepressants that block the reuptake and breakdown of monoamines increase synaptic plasticity at several levels including increased birth of new neurons in the adult hippocampus, increased neurotrophic factor expression, and regulation of synapse formation10,132,133.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Duman, R.S. & Aghajanian, G.K. Synaptic dysfunction in depression: potential therapeutic targets. Science 338, 68–72 (2012). source
Not checked in the free run.
- cites [132] Castrén, E. & Hen, R. Neuronal plasticity and antidepressant actions. Trends Neurosci. 36, 259–267 (2013). source
Not checked in the free run.
- cites [133] Krishnan, V. & Nestler, E.J. Linking molecules to mood: new insight into the biology of depression. Am. J. Psychiatry 167, 1305–1320 (2010). source
Not checked in the free run.
May combine two claims.
PremisecitationIn a mouse chronic stress model of depression, exposure to stress for several weeks causes atrophy of PFC neurons and anhedonia, and these morphological and behavioral deficits are rapidly reversed by a single dose of ketamine.
“This possibility is supported by studies in a mouse chronic stress model of depression, in which exposure to stress for several weeks causes atrophy of PFC neurons and anhedonia, a hallmark feature of depression55. These morphological and behavioral deficits are rapidly reversed by a single dose of ketamine.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [55] Li, N. et al. Glutamate N-methyl-d-aspartate receptor antagonists rapidly reverse behavioral and synaptic deficits caused by chronic stress exposure. Biol. Psychiatry 69, 754–761 (2011). source
Not checked in the free run.
- Rests on an assumption: Rodent models of chronic stress and depression are valid models for human depression.
The paper relies on this without support.
Rodent models of chronic stress and depression are valid models for human depression.
“Studies in rodent models have extended these human studies, and confirm that exposure to stress, like depression, causes atrophy and loss of neurons and glia in the PFC and hippocampus1011,12.”
“This possibility is supported by studies in a mouse chronic stress model of depression, in which exposure to stress for several weeks causes atrophy of PFC neurons and anhedonia, a hallmark feature of depression55.”
The paper relies on this without support.
Synaptic deficits observed in postmortem PFC of depressed subjects are causally related to depressive symptoms.
“Recent postmortem studies also demonstrate reduced synapse number in PFC of depressed subjects9.”
“The atrophy of neurons and loss of glutamatergic synaptic connections caused by stress are key contributors to the symptoms of depression.”
The paper relies on this without support.
Changes in BDNF levels in blood reflect brain BDNF function relevant to depression.
“Stress and depression decrease the expression and function of BDNF (Figure 2) in prefrontal cortex and hippocampus, structures implicated in depression, as well as decrease the levels in the blood of depressed patients21,32–35.”
The paper relies on this without support.
The Val66Met allele in mice models the human BDNF polymorphism sufficiently to infer human risk.
“The Val66Met allele, which blocks the processing and release of mature BDNF, is sufficient to cause atrophy of neurons in the hippocampal37 and mPFC of mice with this allele38.”
“In addition, carriers of the Val66Met allele are at increased risk for depression when exposed to early life stress or trauma43–45.”
The paper relies on this without support.
The mTORC1 signaling changes observed in rodents and postmortem tissue are causally involved in human depression and antidepressant response.
“Together, these studies provide additional supporting evidence that the mTORC1 dendritic translational cascade and synapse formation may represent a common final pathway for a wide range of rapid acting, efficacious antidepressants.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
BDNF is a peptide of 118 highly conserved amino acids among vertebrates that regulates neuronal survival and synaptic plasticity in the adult brain and has been implicated in several neuropsychiatric disorders.
“Brain derived neurotrophic factor (BDNF) is a peptide consisting of 118 highly conserved amino acids among vertebrate species that regulates cellular and molecular mechanisms of neuronal survival and synaptic plasticity in the adult brain and has therefore been implicated in several neuropsychiatric disorders (Autry & Monteggia, 2012; Duman et al., 2016; Götz et al., 1992; Radziejewski et al., 199”
From Mechanisms of ketamine and its metabolites as antidepressants (2022) · cites this paper as Duman et al., 2016
The “Reduced neurotrophic factor expression in stress and depression” section (page not provided) links BDNF to synaptic connections, neuronal survival pathways, and depression; “Antidepressants and synaptic plasticity” (page not provided) describes BDNF-dependent plasticity in adult animals. Our copy does not state that BDNF has 118 amino acids conserved among vertebrates or implicate it in several neuropsychiatric disorders beyond depression. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA single dose of ketamine increases BDNF release and stimulates mTORC1 signaling, leading to increased levels of synaptic proteins (GluR1, PSD95, synapsin 1) and increased number and function of synapses in the PFC.
“A single dose of ketamine increases BDNF release and stimulates mTORC1 signaling, which leads to increased levels of synaptic proteins (i.e., GluR1, PSD95, and synapsin 1) and increased number and function of synapses in the PFC 4,22,35 .”
From Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model (2020) · cites this paper as [4]
The “Rapid acting antidepressants: mechanism of action” section reports that ketamine increases mTORC1 signaling, synaptic-protein synthesis, and synapse number and function in the PFC; it also describes reversal of stress-related deficits after a single dose. It links BDNF release to AMPA-driven mTORC1 signaling in cultured neurons, but does not directly state that a single dose of ketamine increases BDNF release or identify GluR1, PSD95, and synapsin 1 as the proteins increased. Page numbers were not provided in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredMicroglial activation through the ERK pathway facilitates BDNF production and modulates inflammatory cytokines and neuroimmune signaling, which are often dysregulated in depression.
“microglial activation through the ERK pathway not only facilitates BDNF production but also modulates inflammatory cytokines and neuroimmune signaling, processes that are often dysregulated in depression [65,81].”
From Variations in BDNF and Their Role in the Neurotrophic Antidepressant Mechanisms of Ketamine and Esketamine: A Review (2024) · cites this paper as [65]
The section “Innate immune system, the inflammasome, and inflammatory cytokines” links microglia-derived cytokines and abnormal cytokine elevations to stress and depression. “Reduced neurotrophic factor expression in stress and depression” discusses BDNF and Raf–MEK–ERK signaling, but does not say that ERK activates microglia to produce BDNF or modulate cytokines and neuroimmune signaling. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPostmortem PFC of human subjects with Major Depressive Disorder has reduced levels of BDNF, elevated levels of REDD1, and decreased levels of mTOR.
“postmortem PFC of human subjects with Major Depressive Disorder (MDD), similar to stressed rodents, have reduced levels of BDNF,168–173 elevated levels of REDD1,92 and decreased levels of mTOR.92,169”
From Chronic Stress Weakens Connectivity in the Prefrontal Cortex: Architectural and Molecular Changes. (2021) · cites this paper as [170]
The “Reduced neurotrophic factor expression in stress and depression” section reports increased REDD1 and reduced expression and function of mTORC1 signaling proteins in postmortem PFC of depressed subjects. It also says BDNF expression decreases in the PFC with stress and depression, but does not explicitly identify that finding as a measurement in human postmortem PFC. The source describes mTORC1 signaling proteins, rather than specifically a decreased level of mTOR itself. (LLM, conf=0.85)
Experimental — accuracy not yet measuredIncreased synaptic plasticity is a key contributor to ketamine's antidepressant effects.
“Enhancement in synaptic plasticity is one of the key phenomena that contributes to the antidepressant effects of ketamine (Duman et al., 2016; Riggs & Gould, 2021).”
From Mechanisms of ketamine and its metabolites as antidepressants (2022) · cites this paper as Duman et al., 2016
Repeated stress decreases BDNF expression in limbic and cortical brain regions, notably the hippocampus and PFC.
“Repeated stress decreases the expression of BDNF in limbic and cortical brain regions, notably the hippocampus and PFC 4,5,22 .”
From Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model (2020) · cites this paper as [4]
Experimental — accuracy not yet measuredKetamine exhibits rapid plasticity-enhancing effects in animal models and rapid clinical effects in human patients.
“As an example, we discuss the potential for ketamine-which exhibits both rapid plasticity-enhancing effects in animal models 4,10 and rapid clinical effects in human patients 11,12 -to provide a test of the predictions of this integrative model, including simultaneous and correlated reversals of multiple plasticity-related deficits across levels of analysis.”
From Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model (2020) · cites this paper as [4]
Experimental — accuracy not yet measuredDepression is characterized at the molecular level as a failure of neuroplasticity, including neuronal atrophy and synaptic depression in the medial prefrontal cortex (mPFC) and hippocampus.
“At the molecular level, depression has been characterized as a failure of neuroplasticity, including neuronal atrophy and synaptic depression in the medial prefrontal cortex (mPFC) and hippocampus 3-5 .”
From Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model (2020) · cites this paper as [4]
One leading neuroplasticity theory of depression highlights the roles of the PFC and hippocampus, including disruption of neurotrophic factors and synaptic connectivity related to neuroplasticity mechanisms.
“One of the leading theories highlights the roles of the PFC and hippocampus, including disruption of neurotrophic factors and synaptic connectivity that are related to neuroplasticity mechanisms 4,5 .”
From Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model (2020) · cites this paper as [4]
The rapidity and magnitude of ketamine's antidepressant effects have been attributed to its ability to rapidly reverse neuroplasticity deficits in animal models.
“The rapidity and magnitude of ketamine's effects have been attributed to its ability to rapidly reverse neuroplasticity deficits in animal models 3,4,10,34 .”
From Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model (2020) · cites this paper as [4]
Impairments of neuroplasticity often characterize disorders of negative affect including depression.
“Impairments of neuroplasticity often characterize disorders of negative affect including depression 3,4 and multiple efficacious therapies often reverse such deficits 10,148-151 .”
From Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model (2020) · cites this paper as [4]
Changes in neural circuitry caused by chronic stress are believed to underlie the deficits in learning/memory, mood, motivation, and reward seeking that are characteristic of depression and related disorders.
“these changes in neural circuitry are believed to underlie the deficits in learning/memory, mood, motivation, and reward seeking that are characteristic of depression and related disorders (10, 67–74)”
From Psychedelics and Other Psychoplastogens for Treating Mental Illness. (2021) · cites this paper as [67]
Neuroplasticity pathways play a significant role in the pathophysiology of depression and in the therapeutic mechanisms of antidepressant drugs.
“A growing body of research suggests that neuroplasticity pathways play a significant role in the pathophysiology of depression and in the therapeutic mechanisms of antidepressant drugs (AD) [1,2,3].”
Preclinical research points to an increase in synaptic connections as the fundamental process underlying ketamine's antidepressant effects.
“A wealth of preclinical research now points to the fundamental process underlying ketamine's antidepressant effects being an increase in synaptic connections 14 .”
From Imaging the effect of ketamine on synaptic density (SV2A) in the living brain (2022) · cites this paper as [14]
Animal studies show that ketamine-induced increases in synaptic proteins and density.
“While animal studies show that ketamine-induced increases in synaptic proteins and density 14 67 40”
From Imaging the effect of ketamine on synaptic density (SV2A) in the living brain (2022) · cites this paper as [14]
In depressed patients, synaptic plasticity pathways are disrupted in the PFC and hippocampi, correlated with AMPA and NMDA receptor abnormalities.
“In depressed patients, synaptic plasticity pathways have been shown to be disrupted in the PFC and hippocampi, correlated with α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and NMDA receptor abnormalities [45,46].”
From Pharmacotherapies Targeting GABA-Glutamate Neurotransmission for Treatment-Resistant Depression (2023) · cites this paper as [46]
Esketamine's putative mechanism of action likely involves a similar, transient surge in glutamatergic transmission, accompanied by increased synaptogenesis and an influx in neurotrophic factor activity.
“Esketamine’s putative mechanism of action likely involves a similar, transient surge in glutamatergic transmission, accompanied by increased synaptogenesis and an influx in neurotrophic factor activity [46,77,97].”
From Pharmacotherapies Targeting GABA-Glutamate Neurotransmission for Treatment-Resistant Depression (2023) · cites this paper as [46]
Recent research in major depressive disorder points towards synapse loss as a mechanism for neural loss.
“Recent research in MDD points towards synapse loss as a mechanism for neural loss [11].”
From Preliminary evidence for preserved synaptic density in late-life depression (2024) · cites this paper as [11]
Until recently the hypothesis linking synaptic density with depression had only been investigated ex-vivo in animal stress studies and post-mortem depression studies focusing on the hippocampus and prefrontal cortex.
“Until recently the hypothesis linking synaptic density with depression had only been investigated ex-vivo in animal stress studies and post-mortem depression studies focusing on the hippocampus and prefrontal cortex [11, 36].”
From Preliminary evidence for preserved synaptic density in late-life depression (2024) · cites this paper as [11]
Growth factors, particularly BDNF, have systemic effects in regulating cellular bioenergetic function, which is disrupted in multiple mental health conditions, making it more difficult to facilitate affective control, cultivate flexible response patterns, or facilitate synaptic plasticity adaptations within supportive neurocircuitry.
“Growth factors, particularly BDNF, also have systemic effects in regulating cellular bioenergetic function (32), which is disrupted in multiple mental health conditions (33), making it more difficult to facilitate affective control, cultivate flexible response patterns, or facilitate synaptic plasticity adaptations within supportive neurocircuitry (34).”
From The Role of Exercise in Management of Mental Health Disorders: An Integrative Review (2021) · cites this paper as [34]
Activation of both AMPARs and NMDARs is required for synaptic potentiation and synaptic plasticity, which are thought to be involved in antidepressant actions of ketamine.
“Indeed, activation of both AMPARs and NMDARs is required for synaptic potentiation and synaptic plasticity 133, which both are thought to be involved in the antidepressant actions of ketamine 134.”
From Mechanisms of ketamine action as an antidepressant (2018) · cites this paper as [134]
Cites
Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,501 · see citing works
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988 · see citing works
Epigenetic programming by maternal behavior
Weaver, I. C. G., Cervoni, N., Champagne, F. A., D'Alessio, A. C., Sharma, S., Seckl, J. R., Dymov, S., Szyf, M., & Meaney, M. J. (2004) · Nature Neuroscience · doi:10.1038/nn1276 · Cited by 6,177 · see citing works
Whiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61611-6 · Cited by 6,006 · see citing works
A Meta-Analysis of Cytokines in Major Depression
Dowlati, Y., Herrmann, N., Swardfager, W., Liu, H., Sham, L., Reim, E. K., & Lanctôt, K. L. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.09.033 · Cited by 4,729 · see citing works
Overweight, Obesity, and Depression: A Systematic Review and Meta-analysis of Longitudinal Studies
Luppino, F. S., de Wit, L. M., Bouvy, P. F., Stijnen, T., Cuijpers, P., Penninx, B. W. J. H., & Zitman, F. G. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.2 · Cited by 4,322 · see citing works
Synaptic Pruning by Microglia Is Necessary for Normal Brain Development
Paolicelli, R. C., Bolasco, G., Pagani, F., Maggi, L., Scianni, M., Panzanelli, P., Giustetto, M., Ferreira, T. A., Guiducci, E., Dumas, L., et al. (2011) · Science · doi:10.1126/science.1202529 · Cited by 4,244 · see citing works
Microglia Sculpt Postnatal Neural Circuits in an Activity and Complement-Dependent Manner
Schafer, D. P., Lehrman, E. K., Kautzman, A. G., Koyama, R., Mardinly, A. R., Yamasaki, R., Ransohoff, R. M., Greenberg, M. E., Barres, B. A., & Stevens, B. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.026 · Cited by 4,089 · see citing works
da Luz, A. C. D. D. S., Dias, G. P., Bevilaqua, M. C. D. N., Cocks, G. D., Gardino, P. F., Thuret, S., & Nardi, A. E. (2013) · Neuropsychobiology · doi:10.1159/000353269 · Cited by 4,012 · see citing works
Trivedi, M. H., Rush, A. J., Wisniewski, S. R., Nierenberg, A. A., Warden, D., Ritz, L., Norquist, G., Howland, R. H., Lebowitz, B., McGrath, P. J., et al. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.1.28 · Cited by 3,879 · see citing works
Antidepressant effects of ketamine in depressed patients
Berman, R. M., Cappiello, A., Anand, A., Oren, D. A., Heninger, G. R., Charney, D. S., & Krystal, J. H. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00230-9 · Cited by 3,856 · see citing works
Self-citationInflammation and Its Discontents: The Role of Cytokines in the Pathophysiology of Major Depression
Miller, A. H., Maletic, V., & Raison, C. L. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.11.029 · Cited by 3,848 · see citing works
A randomized trial of an N-methyl-D-aspartate antagonist in treatment-resistant major depression.
Zarate, C. A., Singh, J. B., Carlson, P. J., Brutsche, N. E., Ameli, R., Luckenbaugh, D. A., Charney, D. S., & Manji, H. K. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.8.856 · Cited by 3,766 · see citing works
Genetic Epidemiology of Major Depression: Review and Meta-Analysis
Sullivan, P. F., Neale, M. C., & Kendler, K. S. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.10.1552 · Cited by 3,431 · see citing works
A Neurotrophic Model for Stress-Related Mood Disorders
Duman, R. S., & Monteggia, L. M. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.02.013 · Cited by 3,375 · see citing works
Self-citationCytokines sing the blues: inflammation and the pathogenesis of depression
Raison, C. L., Capuron, L., & Miller, A. H. (2006) · Trends in Immunology · doi:10.1016/j.it.2005.11.006 · Cited by 3,009 · see citing works
Walker, E. R., McGee, R. E., & Druss, B. G. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2502 · Cited by 2,976 · see citing works
The molecular neurobiology of depression
Krishnan, V., & Nestler, E. J. (2008) · Nature · doi:10.1038/nature07455 · Cited by 2,889 · see citing works
mTOR-Dependent Synapse Formation Underlies the Rapid Antidepressant Effects of NMDA Antagonists
Li, N., Lee, B., Liu, R.-J., Banasr, M., Dwyer, J. M., Iwata, M., Li, X.-Y., Aghajanian, G., & Duman, R. S. (2010) · Science · doi:10.1126/science.1190287 · Cited by 2,881 · see citing works
Self-citationAssociations of depression with C-reactive protein, IL-1, and IL-6: a meta-analysis.
Howren, M. B., Lamkin, D. M., & Suls, J. (2009) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3181907c1b · Cited by 2,766 · see citing works
Krishnan, V., Han, M.-H., Graham, D. L., Berton, O., Renthal, W., Russo, S. J., LaPlant, Q., Graham, A., Lutter, M., Lagace, D. C., et al. (2007) · Cell · doi:10.1016/j.cell.2007.09.018 · Cited by 2,307 · see citing works
Experience-dependent structural synaptic plasticity in the mammalian brain
Holtmaat, A., & Svoboda, K. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2699 · Cited by 1,934 · see citing works
NMDA receptor blockade at rest triggers rapid behavioural antidepressant responses
Autry, A. E., Adachi, M., Nosyreva, E., Na, E. S., Los, M. F., Cheng, P.-F., Kavalali, E. T., & Monteggia, L. M. (2011) · Nature · doi:10.1038/nature10130 · Cited by 1,926 · see citing works
The brain reward circuitry in mood disorders
Russo, S. J., & Nestler, E. J. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3381 · Cited by 1,870 · see citing works
Moghaddam, B., Adams, B., Verma, A., & Daly, D. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-08-02921.1997 · Cited by 1,793 · see citing works
Synaptic scaling mediated by glial TNF-α
Stellwagen, D., & Malenka, R. C. (2006) · Nature · doi:10.1038/nature04671 · Cited by 1,715 · see citing works
Synaptic Dysfunction in Depression: Potential Therapeutic Targets
Duman, R. S., & Aghajanian, G. K. (2012) · Science · doi:10.1126/science.1222939 · Cited by 1,651 · see citing works
Self-citationSynaptic versus extrasynaptic NMDA receptor signalling: implications for neurodegenerative disorders
Hardingham, G. E., & Bading, H. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2911 · Cited by 1,644 · see citing works
Raison, C. L., Rutherford, R. E., Woolwine, B. J., Shuo, C., Schettler, P., Drake, D. F., Haroon, E., & Miller, A. H. (2013) · JAMA Psychiatry · doi:10.1001/2013.jamapsychiatry.4 · Cited by 1,617 · see citing works
Neurocircuitry of Mood Disorders
Price, J. L., & Drevets, W. C. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.104 · Cited by 1,606 · see citing works
Metabolic syndrome: definitions and controversies
Kassi, E., Pervanidou, P., Kaltsas, G., & Chrousos, G. (2011) · BMC Medicine · doi:10.1186/1741-7015-9-48 · Cited by 1,565 · see citing works
Differential projections of the infralimbic and prelimbic cortex in the rat
Vertes, R. P. (2004) · Synapse · doi:10.1002/syn.10279 · Cited by 1,550 · see citing works
Reward, dopamine and the control of food intake: implications for obesity
Volkow, N. D., Wang, G.-J., & Baler, R. D. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.001 · Cited by 1,400 · see citing works
The stressed synapse: the impact of stress and glucocorticoids on glutamate transmission
Popoli, M., Yan, Z., McEwen, B. S., & Sanacora, G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3138 · Cited by 1,393 · see citing works
Self-citationPhillips, M. L., Ladouceur, C. D., & Drevets, W. C. (2008) · Molecular Psychiatry · doi:10.1038/mp.2008.65 · Cited by 1,383 · see citing works
Genetic variant BDNF (Val66Met) polymorphism alters anxiety-related behavior
Chen, Z.-Y., Jing, D., Bath, K. G., Ieraci, A., Khan, T., Siao, C.-J., Herrera, D. G., Toth, M., Yang, C., McEwen, B. S., et al. (2006) · Science · doi:10.1126/science.1129663 · Cited by 1,340 · see citing works
Homayoun, H., & Moghaddam, B. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2213-07.2007 · Cited by 1,231 · see citing works
Russo, S. J., Murrough, J. W., Han, M.-H., Charney, D. S., & Nestler, E. J. (2012) · Nature Neuroscience · doi:10.1038/nn.3234 · Cited by 1,206 · see citing works
The cellular neurobiology of depression
Manji, H. K., Drevets, W. C., & Charney, D. S. (2001) · Nature Medicine · doi:10.1038/87865 · Cited by 1,182 · see citing works
Depression, Stress, and Anhedonia: Toward a Synthesis and Integrated Model
Pizzagalli, D. A. (2014) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050212-185606 · Cited by 1,155 · see citing works
mTOR signaling: At the crossroads of plasticity, memory and disease
Hoeffer, C. A., & Klann, E. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2009.11.003 · Cited by 1,128 · see citing works
The Complement System: An Unexpected Role in Synaptic Pruning During Development and Disease
Stephan, A. H., Barres, B. A., & Stevens, B. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113810 · Cited by 1,113 · see citing works
Maeng, S., Zarate, C. A., Du, J., Schloesser, R. J., McCammon, J., Chen, G., & Manji, H. K. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.05.028 · Cited by 1,103 · see citing works
Li, N., Liu, R.-J., Dwyer, J. M., Banasr, M., Lee, B., Son, H., Li, X.-Y., Aghajanian, G., & Duman, R. S. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.12.015 · Cited by 1,082 · see citing works
Self-citationTrkB signalling pathways in LTP and learning
Minichiello, L. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2738 · Cited by 1,055 · see citing works
Gut microbes and the brain: paradigm shift in neuroscience
Mayer, E. A., Knight, R., Mazmanian, S. K., Cryan, J. F., & Tillisch, K. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3299-14.2014 · Cited by 1,033 · see citing works
Bridging animal and human models of exercise-induced brain plasticity
Voss, M. W., Vivar, C., Kramer, A. F., & van Praag, H. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.08.001 · Cited by 1,030 · see citing works
Synaptic AMPA receptor plasticity and behavior
Kessels, H. W., & Malinow, R. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.015 · Cited by 993 · see citing works
Woolley, C. S., & McEwen, B. (1992) · Journal of Neuroscience · doi:10.1523/jneurosci.12-07-02549.1992 · Cited by 987 · see citing works
The ageing cortical synapse: hallmarks and implications for cognitive decline
Morrison, J. H., & Baxter, M. G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3200 · Cited by 965 · see citing works
Diazgranados, N., Ibrahim, L., Brutsche, N. E., Newberg, A., Kronstein, P., Khalife, S., Kammerer, W. A., Quezado, Z., Luckenbaugh, D. A., Salvadore, G., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.90 · Cited by 963 · see citing works
Architectonic subdivision of the human orbital and medial prefrontal cortex
Öngür, D., Ferry, A. T., & Price, J. L. (2003) · Journal of Comparative Neurology · doi:10.1002/cne.10609 · Cited by 944 · see citing works
Targeting the glutamatergic system to develop novel, improved therapeutics for mood disorders
Sanacora, G., Zarate, C. A., Krystal, J. H., & Manji, H. K. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2462 · Cited by 894 · see citing works
Self-citationThe antidepressant fluoxetine restores plasticity in the adult visual cortex
Vetencourt, J. F. M., Sale, A., Viegi, A., Baroncelli, L., De Pasquale, R., F. O'Leary, O., Castrén, E., & Maffei, L. (2008) · Science · doi:10.1126/science.1150516 · Cited by 890 · see citing works
Magarin˜os, A. M., & McEwen, B. S. (1995) · Neuroscience · doi:10.1016/0306-4522(95)00259-l · Cited by 863 · see citing works
Overlapping neuronal circuits in addiction and obesity: evidence of systems pathology
Volkow, N. D., Wang, G.-J., Fowler, J. S., & Telang, F. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0107 · Cited by 809 · see citing works
Decreased expression of synapse-related genes and loss of synapses in major depressive disorder
Kang, H. J., Voleti, B., Hajszan, T., Rajkowska, G., Stockmeier, C. A., Licznerski, P., Lepack, A., Majik, M. S., Jeong, L. S., Banasr, M., et al. (2012) · Nature Medicine · doi:10.1038/nm.2886 · Cited by 808 · see citing works
Self-citationSocial supports and serotonin transporter gene moderate depression in maltreated children
Kaufman, J., Yang, B., Douglas-Palumberi, H., Houshyar, S., Lipschitz, D. S., Krystal, J. H., & Gelernter, J. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0404376101 · Cited by 801 · see citing works
Self-citationBDNF: A key regulator for protein synthesis-dependent LTP and long-term memory?
Lü, Y., Christian, K. M., & Lu, B. (2007) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2007.08.018 · Cited by 768 · see citing works
Stranahan, A., Norman, E., Lee, K., Cutler, R., Telljohann, R., Egan, J., & Mattson, M. P. (2008) · Hippocampus · doi:10.1002/hipo.20470 · Cited by 755 · see citing works
Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways
The Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium (2015) · Nature Neuroscience · doi:10.1038/nn.3922 · Cited by 755 · see citing works
Agudelo, L. Z., Femenía, T., Orhan, F., Porsmyr-Palmertz, M., Goiny, M., Martinez-Redondo, V., Correia, J. C., Izadi, M., Bhat, M., Schuppe-Koistinen, I., et al. (2014) · Cell · doi:10.1016/j.cell.2014.07.051 · Cited by 739 · see citing works
Duman, R. S., & Voleti, B. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2011.11.004 · Cited by 714 · see citing works
Self-citationKaufman, J., Yang, B.-Z., Douglas-Palumberi, H., Grasso, D., Lipschitz, D., Houshyar, S., Krystal, J. H., & Gelernter, J. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.10.026 · Cited by 692 · see citing works
Self-citationTransient cyclical methylation of promoter DNA
Kangaspeska, S., Stride, B. D., Métivier, R., Polycarpou-Schwarz, M., Ibberson, D., Carmouche, R. P., Beneš, V., Gannon, F., & Reid, G. (2008) · Nature · doi:10.1038/nature06640 · Cited by 682 · see citing works
Sensory and premotor connections of the orbital and medial prefrontal cortex of macaque monkeys
Carmichael, S. T., & Price, J. L. (1995) · Journal of Comparative Neurology · doi:10.1002/cne.903630409 · Cited by 678 · see citing works
The link between depression and diabetes: the search for shared mechanisms
Moulton, C. D., Pickup, J. C., & Ismail, K. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00134-5 · Cited by 670 · see citing works
Gaynes, B. N., Warden, D., Trivedi, M. H., Wisniewski, S. R., Fava, M., & Rush, A. J. (2009) · Psychiatric Services · doi:10.1176/ps.2009.60.11.1439 · Cited by 661 · see citing works
Obesity and C ‐reactive protein in various populations: a systematic review and meta‐analysis
Choi, J., Joseph, L., & Pilote, L. (2012) · Obesity Reviews · doi:10.1111/obr.12003 · Cited by 657 · see citing works
The orexigenic hormone ghrelin defends against depressive symptoms of chronic stress
Lutter, M., Sakata, I., Osborne-Lawrence, S., Rovinsky, S. A., Anderson, J. G., Jung, S., Birnbaum, S., Yanagisawa, M., Elmquist, J. K., Nestler, E. J., et al. (2008) · Nature Neuroscience · doi:10.1038/nn.2139 · Cited by 644 · see citing works
Linking Molecules to Mood: New Insight Into the Biology of Depression
Krishnan, V., & Nestler, E. J. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.10030434 · Cited by 643 · see citing works
The orbital and medial prefrontal circuit through the primate basal ganglia
Haber, S., Kunishio, K., Mizobuchi, M., & Lynd-Balta, E. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-07-04851.1995 · Cited by 605 · see citing works
Price, R. B., Nock, M. K., Charney, D. S., & Mathew, S. J. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.04.029 · Cited by 600 · see citing works
Bessa, J. M., Ferreira, D., Melo, I., Marques, F., Cerqueira, J. J., Palha, J. A., Almeida, O. F. X., & Sousa, N. (2009) · Molecular Psychiatry · doi:10.1038/mp.2008.119 · Cited by 598 · see citing works
Stress and anxiety: Structural plasticity and epigenetic regulation as a consequence of stress
McEwen, B. S., Eiland, L., Hunter, R. G., & Miller, M. M. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.07.014 · Cited by 596 · see citing works
Petra, A. I., Panagiotidou, S., Hatziagelaki, E., Stewart, J. M., Conti, P., & Theoharides, T. C. (2015) · Clinical Therapeutics · doi:10.1016/j.clinthera.2015.04.002 · Cited by 592 · see citing works
The inflammasome: Pathways linking psychological stress, depression, and systemic illnesses
Iwata, M., Ota, K. T., & Duman, R. S. (2013) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2012.12.008 · Cited by 580 · see citing works
Self-citationStress-induced atrophy of apical dendrites of hippocampal CA3c neurons: Comparison of stressors
Magarin˜os, A. M., & McEwen, B. S. (1995) · Neuroscience · doi:10.1016/0306-4522(95)00256-i · Cited by 571 · see citing works
BDNF mediates adaptive brain and body responses to energetic challenges
Marosi, K., & Mattson, M. P. (2014) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2013.10.006 · Cited by 568 · see citing works
DiazGranados, N., Ibrahim, L. A., Brutsche, N. E., Ameli, R., Henter, I. D., Luckenbaugh, D. A., Machado-Vieira, R., & Zarate, C. A. (2010) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.09m05327blu · Cited by 564 · see citing works
Castrén, E. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1629 · Cited by 563 · see citing works
Immune proteins in brain development and synaptic plasticity
Boulanger, L. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.001 · Cited by 555 · see citing works
Gatt, J. M., Nemeroff, C. B., Dobson-Stone, C., Paul, R. H., Bryant, R. A., Schofield, P. R., Gordon, E., Kemp, A. H., & Williams, L. M. (2009) · Molecular Psychiatry · doi:10.1038/mp.2008.143 · Cited by 525 · see citing works
A dual role for interleukin-1 in hippocampal-dependent memory processes
Goshen, I., Kreisel, T., Ounallah-Saad, H., Renbaum, P., Zalzstein, Y., Ben‐Hur, T., Levy‐Lahad, E., & Yirmiya, R. (2007) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2007.09.004 · Cited by 497 · see citing works
Bipolar and major depressive disorder: Neuroimaging the developmental-degenerative divide
Savitz, J., & Drevets, W. C. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.01.004 · Cited by 494 · see citing works
Insulin resistance in brain alters dopamine turnover and causes behavioral disorders
Kleinridders, A., Cai, W., Cappellucci, L., Ghazarian, A., Collins, W. R., Vienberg, S. G., Pothos, E. N., & Kahn, C. R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500877112 · Cited by 486 · see citing works
Meta-analyses of genetic studies on major depressive disorder
López‐León, S., Janssens, A. C. J. W., Ladd, A. M. G., Del‐Favero, J., Claes, S. J., Oostra, B. A., & van Duijn, C. M. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4002088 · Cited by 484 · see citing works
Impaired mitochondrial function in psychiatric disorders
Manji, H. K., Kato, T., Prospero, N. A. D., Ness, S. L., Beal, M. F., Krams, M., & Chen, G. (2012) · Nature reviews. Neuroscience · doi:10.1038/nrn3229 · Cited by 478 · see citing works
Endocrine factors in the etiology of postpartum depression
Bloch, M., Daly, R. C., & Rubinow, D. R. (2003) · Comprehensive Psychiatry · doi:10.1016/s0010-440x(03)00034-8 · Cited by 476 · see citing works
Leptin: A potential novel antidepressant
Lu, X.-Y., Kim, C. S., Frazer, A., & Zhang, W. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508901103 · Cited by 446 · see citing works
Takei, N., Inamura, N., Kawamura, M., Namba, H., Hara, K., Yonezawa, K., & Nawa, H. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1427-04.2004 · Cited by 442 · see citing works
van Dooren, F. E. P., Nefs, G., Schram, M. T., Verhey, F. R. J., Denollet, J., & Pouwer, F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057058 · Cited by 441 · see citing works
Serum and plasma BDNF levels in major depression: A replication study and meta-analyses
Bocchio-Chiavetto, L., Bagnardi, V., Zanardini, R., Molteni, R., Gabriela Nielsen, M., Placentino, A., Giovannini, C., Rillosi, L., Ventriglia, M., Riva, M. A., et al. (2010) · The World Journal of Biological Psychiatry · doi:10.3109/15622971003611319 · Cited by 435 · see citing works
Feyissa, A. M., Chandran, A., Stockmeier, C. A., & Karolewicz, B. (2009) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2008.10.005 · Cited by 421 · see citing works
Uncovering the mechanisms of estrogen effects on hippocampal function
Spencer-Segal, J. L., Waters, E. M., Romeo, R. D., Wood, G. E., Milner, T. A., & McEwen, B. S. (2007) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2007.08.006 · Cited by 415 · see citing works
Epigenetics of the depressed brain: role of histone acetylation and methylation
Sun, H., Kennedy, P. J., & Nestler, E. J. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2012.73 · Cited by 413 · see citing works
A negative regulator of MAP kinase causes depressive behavior
Duric, V., Banasr, M., Licznerski, P., Schmidt, H. D., Stockmeier, C. A., Simen, A. A., Newton, S. S., & Duman, R. S. (2010) · Nature Medicine · doi:10.1038/nm.2219 · Cited by 412 · see citing works
Self-citationLiu, R.-J., Lee, F. S., Li, X.-Y., Bambico, F., Duman, R. S., & Aghajanian, G. K. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.09.030 · Cited by 403 · see citing works
Self-citationZhou, W., Wang, N., Yang, C., Li, X.-M., Zhou, Z.-Q., & Yang, J.-J. (2014) · European Psychiatry · doi:10.1016/j.eurpsy.2013.10.005 · Cited by 390 · see citing works
Iwata, M., Ota, K. T., Li, X.-Y., Sakaue, F., Li, N., Dutheil, S., Banasr, M., Duric, V., Yamanashi, T., Kaneko, K., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.11.026 · Cited by 387 · see citing works
Self-citationThe current state of the neurogenic theory of depression and anxiety
Miller, B. R., & Hen, R. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.08.012 · Cited by 386 · see citing works
The mTOR signaling pathway in the prefrontal cortex is compromised in major depressive disorder
Jernigan, C. S., Goswami, D. B., Austin, M. C., Iyo, A. H., Chandran, A., Stockmeier, C. A., & Karolewicz, B. (2011) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2011.05.010 · Cited by 386 · see citing works
Fear erasure in mice requires synergy between antidepressant drugs and extinction training
Karpova, N. N., Pickenhagen, A., Lindholm, J., Tiraboschi, E., Kulesskaya, N., Ágústsdóttir, A., Antila, H., Popova, D., Akamine, Y., Sullivan, R., et al. (2011) · Science · doi:10.1126/science.1214592 · Cited by 382 · see citing works
Estrogen Receptors: Therapies Targeted to Receptor Subtypes
Nilsson, S., & Gustafsson, J.-Å. (2010) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2010.226 · Cited by 371 · see citing works
Unger, T. J., Calderon, G. A., Bradley, L., Sena‐Esteves, M., & Rios, M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3308-07.2007 · Cited by 370 · see citing works
Murray, C. A., & Lynch, M. A. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-08-02974.1998 · Cited by 359 · see citing works
Miller, O. H., Yang, L., Wang, C.-C., Hargroder, E. A., Zhang, Y., Delpire, E., & Hall, B. J. (2014) · eLife · doi:10.7554/elife.03581 · Cited by 358 · see citing works
Cross-species studies of orbitofrontal cortex and value-based decision-making
Wallis, J. D. (2011) · Nature Neuroscience · doi:10.1038/nn.2956 · Cited by 356 · see citing works
Brain-derived neurotrophic factor: role in depression and suicide
Dwivedi, Y. (2009) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s5700 · Cited by 355 · see citing works
Khairova, R. A., Machado-Vieira, R., Du, J., & Manji, H. K. (2009) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145709009924 · Cited by 350 · see citing works
Zhang, T. Y., Labonté, B., Wen, X. L., Turecki, G., & Meaney, M. J. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2012.149 · Cited by 347 · see citing works
Liu, R.-J., & Aghajanian, G. K. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706679105 · Cited by 346 · see citing works
Self-citationA Role for MAP Kinase Signaling in Behavioral Models of Depression and Antidepressant Treatment
Duman, C. H., Schlesinger, L., Kodama, M., Russell, D., & Duman, R. S. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.05.047 · Cited by 338 · see citing works
Self-citationGardner, A., & Boles, R. G. (2011) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2010.07.030 · Cited by 333 · see citing works
Mansur, R. B., Brietzke, E. M., & McIntyre, R. S. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.12.017 · Cited by 325 · see citing works
Vogelzangs, N., Duivis, H. E., Beekman, A. T. F., Kluft, C., Neuteboom, J., Hoogendijk, W., Smit, J. H., de Jonge, P., & Penninx, B. W. J. H. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.8 · Cited by 323 · see citing works
Arnold, S., Lucki, I., Brookshire, B. R., Carlson, G., Browne, C., Kazi, H., Bang, S., Choi, B.-R., Chen, Y., McMullen, M. F., et al. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.03.011 · Cited by 309 · see citing works
Stone, J. M., Dietrich, C., Edden, R., Mehta, M. A., De Simoni, S., Reed, L. J., Krystal, J. H., Nutt, D., & Barker, G. J. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.171 · Cited by 295 · see citing works
Self-citationDendritic spine formation and stabilization
Yoshihara, Y., De Roo, M., & Muller, D. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.05.013 · Cited by 292 · see citing works
Hosang, G. M., Shiles, C., Tansey, K. E., McGuffin, P., & Uher, R. (2014) · BMC Medicine · doi:10.1186/1741-7015-12-7 · Cited by 292 · see citing works
Nemeroff, C. B., & Owens, M. J. (2002) · Nature Neuroscience · doi:10.1038/nn943 · Cited by 282 · see citing works
Kim, J.-M., Stewart, R., Kim, S.-W., Yang, S.-J., Shin, I.-S., Kim, Y.-H., & Yoon, J.-S. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.11.020 · Cited by 282 · see citing works
Yu, H., Wang, D.-D., Wang, Y., Liu, T., Lee, F. S., & Chen, Z.-Y. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5048-11.2012 · Cited by 275 · see citing works
MacQueen, G. M., Yucel, K., Taylor, V. H., Macdonald, K., & Joffe, R. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.06.027 · Cited by 274 · see citing works
Phillips, M. L., Chase, H. W., Sheline, Y. I., Etkin, A., Almeida, J. R. C., Deckersbach, T., & Trivedi, M. H. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14010076 · Cited by 267 · see citing works
REDD1 is essential for stress-induced synaptic loss and depressive behavior
Ota, K. T., Liu, R.-J., Voleti, B., Maldonado-Aviles, J. G., Duric, V., Iwata, M., Dutheil, S., Duman, C., Boikess, S., Lewis, D. A., et al. (2014) · Nature Medicine · doi:10.1038/nm.3513 · Cited by 267 · see citing works
Self-citationVoleti, B., Navarria, A., Liu, R.-J., Banasr, M., Li, N., Terwilliger, R., Sanacora, G., Eid, T., Aghajanian, G., & Duman, R. S. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.025 · Cited by 264 · see citing works
Self-citationMagariños, A. M., & McEwen, B. S. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.20.11056 · Cited by 262 · see citing works
Estrogen Alters Spine Number and Morphology in Prefrontal Cortex of Aged Female Rhesus Monkeys
Hao, J., Rapp, P. R., Leffler, A. E., Leffler, S. R., Janssen, W. G. M., Lou, W. Y. W., McKay, H. M., Roberts, J. A., Wearne, S. L., Hof, P. R., et al. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3440-05.2006 · Cited by 257 · see citing works
Liu, R.-J., Fuchikami, M., Dwyer, J. M., Lepack, A. E., Duman, R. S., & Aghajanian, G. K. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.128 · Cited by 256 · see citing works
Self-citationNeuronal plasticity and antidepressant actions
Castrén, E., & Hen, R. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2012.12.010 · Cited by 243 · see citing works
Drevets, W. C., & Furey, M. L. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.11.021 · Cited by 241 · see citing works
Sanacora, G., Smith, M. A., Pathak, S., Su, H.-L., Boeijinga, P. H., McCarthy, D. J., & Quirk, M. C. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.130 · Cited by 236 · see citing works
Self-citationMagariños, A. M., Li, C. J., Gal Toth, J., Bath, K. G., Jing, D., Lee, F. S., & McEwen, B. S. (2011) · Hippocampus · doi:10.1002/hipo.20744 · Cited by 232 · see citing works
The Influence of Gonadal Hormones on Neuronal Excitability, Seizures, and Epilepsy in the Female
Scharfman, H. E., & MacLusky, N. J. (2006) · Epilepsia · doi:10.1111/j.1528-1167.2006.00672.x · Cited by 232 · see citing works
Jourdi, H., Hsu, Y.-T., Zhou, M., Qin, Q., Bi, X., & Baudry, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.6078-08.2009 · Cited by 226 · see citing works
Epigenetic mechanisms of depression
Nestler, E. J. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.4291 · Cited by 217 · see citing works
Lowy, M. T., Wittenberg, L., & Yamamoto, B. K. (1995) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.1995.65010268.x · Cited by 217 · see citing works
The metabolic syndrome: time to get off the merry-go-round?: Review: The metabolic syndrome
Reaven, G. M. (2011) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2010.02325.x · Cited by 214 · see citing works
Pharmacology of Ampakine Modulators: From AMPA Receptors to Synapses and Behavior
Arai, A., & Kessler, M. (2007) · Current Drug Targets · doi:10.2174/138945007780618490 · Cited by 211 · see citing works
Hippocampal structural and functional changes associated with electroconvulsive therapy response
Abbott, C., Jones, T. R., Lemke, N. T., Gallegos, P., McClintock, S. M., Mayer, A. R., Bustillo, J., & Calhoun, V. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.124 · Cited by 207 · see citing works
Inflammatory markers in depression
Dinan, T. G. (2008) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e328315a561 · Cited by 206 · see citing works
Depression and type 2 diabetes: a causal association?
Tabák, Á. G., Akbaraly, T. N., Batty, G. D., & Mika Kivimaki, B. (2013) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70139-6 · Cited by 203 · see citing works
Glutamate Metabolism in Major Depressive Disorder
Abdallah, C. G., Jiang, L., De Feyter, H. M., Fasula, M., Krystal, J. H., Rothman, D. L., Mason, G. F., & Sanacora, G. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14010067 · Cited by 200 · see citing works
Self-citationElectroconvulsive therapy-induced brain plasticity determines therapeutic outcome in mood disorders
Dukart, J., Regen, F., Kherif, F., Colla, M., Bajbouj, M., Heuser, I., Frackowiak, R. S., & Draganski, B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1321399111 · Cited by 195 · see citing works
Intra-hippocampal estradiol infusion enhances memory in ovariectomized rats
Packard, M. G., & Teather, L. A. (1997) · Neuroreport · doi:10.1097/00001756-199709290-00004 · Cited by 170 · see citing works
BDNF Val66Met impairs fluoxetine-induced enhancement of adult hippocampus plasticity
Bath, K. G., Jing, D. Q., Dincheva, I., Neeb, C. C., Pattwell, S. S., Chao, M. V., Lee, F. S., & Ninan, I. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.318 · Cited by 169 · see citing works
Shansky, R., & Morrison, J. (2009) · Brain Research · doi:10.1016/j.brainres.2009.03.062 · Cited by 163 · see citing works
Mood disorders: Regulation by metabotropic glutamate receptors
Pilc, A., Chaki, S., Nowak, G., & Witkin, J. M. (2008) · Biochemical Pharmacology · doi:10.1016/j.bcp.2007.09.021 · Cited by 163 · see citing works
Wei, J., Yuen, E., Liu, W., Li, X., Zhong, P., Karatsoreos, I., Mcewen, B. S., & Yan, Z. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.83 · Cited by 162 · see citing works
Epigenetic alterations in depression and antidepressant treatment
Menke, A., & Binder, E. B. (2014) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2014.16.3/amenke · Cited by 161 · see citing works
Sanacora, G., & Schatzberg, A. F. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.261 · Cited by 160 · see citing works
Self-citationLevinson, D. F., Mostafavi, S., Milaneschi, Y., Rivera, M., Ripke, S., Wray, N. R., & Sullivan, P. F. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.07.029 · Cited by 159 · see citing works
Genetic Determinants of Depression: Recent Findings and Future Directions
Dunn, E. C., Brown, R. C., Dai, Y., Rosand, J., Nugent, N. R., Amstadter, A. B., & Smoller, J. W. (2015) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000054 · Cited by 158 · see citing works
Remodeling of axo-spinous synapses in the pathophysiology and treatment of depression
Licznerski, P., & Duman, R. S. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2012.09.057 · Cited by 157 · see citing works
Self-citationAutry, A. E., Adachi, M., Cheng, P., & Monteggia, L. M. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.02.007 · Cited by 154 · see citing works
Rethorst, C. D., Bernstein, I., & Trivedi, M. H. (2014) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14m09009 · Cited by 152 · see citing works
Fan, L., Zhao, Z., Orr, P. T., Chambers, C. H., Lewis, M. C., & Frick, K. M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4333-09.2010 · Cited by 150 · see citing works
Fortress, A. M., Fan, L., Orr, P. T., Zhao, Z., & Frick, K. M. (2013) · Learning & Memory · doi:10.1101/lm.026732.112 · Cited by 141 · see citing works
Psychobiotics and the gut–brain axis: in the pursuit of happiness
Foster, J. A., & Zhou, L. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s61997 · Cited by 137 · see citing works
Chandran, A., Iyo, A. H., Jernigan, C. S., Legutko, B., Austin, M. C., & Karolewicz, B. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2012.08.001 · Cited by 137 · see citing works
Zhong, P., Wang, W., Pan, B., Liu, X., Zhang, Z., Long, J. Z., Zhang, H., Cravatt, B. F., & Liu, Q.-S. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.24 · Cited by 137 · see citing works
Kiss, Á., Delattre, A. M., Pereira, S. I. R., Carolino, R. O. G., Szawka, R. E., Anselmo-Franci, J. A., Zanata, S. M., & Ferraz, A. C. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.10.047 · Cited by 137 · see citing works
Ampuero, E., Rubio, F. J., Falcon, R., Sandoval, M., Diaz-Veliz, G., Gonzalez, R. E., Earle, N., Dagnino-Subiabre, A., Aboitiz, F., Orrego, F., et al. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.04.035 · Cited by 132 · see citing works
The Fibroblast Growth Factor System and Mood Disorders
Turner, C. A., Akil, H., Watson, S. J., & Evans, S. J. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.02.026 · Cited by 131 · see citing works
Spencer, S. J., Emmerzaal, T. L., Kozicz, T., & Andrews, Z. B. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.10.021 · Cited by 129 · see citing works
Pasquali, R. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06569.x · Cited by 128 · see citing works
Epigenetic mechanisms underlying learning and the inheritance of learned behaviors
Dias, B. G., Maddox, S. A., Klengel, T., & Ressler, K. J. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2014.12.003 · Cited by 125 · see citing works
Çavuş, I., & Duman, R. S. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00236-1 · Cited by 124 · see citing works
Self-citationBorrow, A. P., & Cameron, N. M. (2014) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2014.05.009 · Cited by 120 · see citing works
Navarria, A., Wohleb, E. S., Voleti, B., Ota, K. T., Dutheil, S., Lepack, A. E., Dwyer, J. M., Fuchikami, M., Becker, A., Drago, F., et al. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.06.012 · Cited by 118 · see citing works
Self-citationPaul, R. K., Singh, N. S., Khadeer, M., Moaddel, R., Sanghvi, M., Green, C. E., O’Loughlin, K., Torjman, M. C., Bernier, M., & Wainer, I. W. (2014) · Anesthesiology · doi:10.1097/aln.0000000000000285 · Cited by 115 · see citing works
Hippocampal cell proliferation regulation by repeated stress and antidepressants
Chen, H., Pandey, G. N., & Dwivedi, Y. (2006) · NeuroReport · doi:10.1097/01.wnr.0000221827.03222.70 · Cited by 115 · see citing works
Malaise, melancholia and madness: The evolutionary legacy of an inflammatory bias
Raison, C. L., & Miller, A. H. (2013) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2013.04.009 · Cited by 109 · see citing works
Murrough, J. W., Collins, K. A., Fields, J., DeWilde, K. E., Phillips, M. L., Mathew, S. J., Wong, E., Tang, C. Y., Charney, D. S., & Iosifescu, D. V. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.10 · Cited by 109 · see citing works
Leone, T., Coast, E., Narayanan, S., & Aikins, A. D. (2012) · Globalization and Health · doi:10.1186/1744-8603-8-39 · Cited by 106 · see citing works
Gass, N., Schwarz, A. J., Sartorius, A., Schenker, E., Risterucci, C., Spedding, M., Zheng, L., Meyer‐Lindenberg, A., & Weber‐Fahr, W. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.290 · Cited by 104 · see citing works
Witkin, J. M., Overshiner, C. D., Li, X., Catlow, J. T., Wishart, G. N., Schober, D. A., Heinz, B. A., Nikolayev, A., Tolstikov, V., Anderson, W. H., et al. (2014) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.114.216804 · Cited by 100 · see citing works
Markham, A., Cameron, I., Bains, R. S., Franklin, P., Kiss, J., Schwendimann, L., Gressèns, P., & Spedding, M. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07965.x · Cited by 98 · see citing works
mTOR and the health benefits of exercise.
Watson, K., & Baar, K. (2014) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2014.08.013 · Cited by 96 · see citing works
Patton, M. H., Bizup, B. T., & Grace, A. A. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2449-13.2013 · Cited by 94 · see citing works
The promise of ketamine for treatment‐resistant depression: current evidence and future directions
DeWilde, K. E., Levitch, C. F., Murrough, J. W., Mathew, S. J., & Iosifescu, D. V. (2015) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12646 · Cited by 92 · see citing works
Metabolism, mood and cognition in aging: the importance of lifestyle and dietary intervention
Hendrickx, H., McEwen, B. S., & Ouderaa, F. V. D. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.10.005 · Cited by 83 · see citing works
Fortress, A. M., Kim, J., Poole, R. L., Gould, T. J., & Frick, K. M. (2014) · Learning & Memory · doi:10.1101/lm.034033.113 · Cited by 78 · see citing works
BDNF variant Val66Met interacts with estrous cycle in the control of hippocampal function
Spencer-Segal, J. L., Waters, E. M., Milner, T. A., Lee, F. S., & McEwen, B. S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0915105107 · Cited by 77 · see citing works
Karki, P., Smith, K., Johnson, J., & Lee, E. (2014) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2014.01.010 · Cited by 73 · see citing works
Luoni, A., Macchi, F., Papp, M., Molteni, R., & Riva, M. A. (2015) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyu061 · Cited by 70 · see citing works
Jiang, B., Wang, F., Yang, S., Fang, P., Deng, Z., Xiao, J., Hu, Z., & Chen, J. (2015) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyu096 · Cited by 62 · see citing works
Liu, R.-J., Ota, K. T., Dutheil, S., Duman, R. S., & Aghajanian, G. K. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.70 · Cited by 59 · see citing works
Self-citationHughes, Z. A., Liu, F., Marquis, K. L., et al. (2009) · Current Molecular Pharmacology · doi:10.2174/1874467210902030215 · Cited by 59 · see citing works
Bessa, J. M., Ferreira, D., Melo, I., Marques, F., Cerqueira, J. J., Palha, J. A., Almeida, O. F. X., & Sousa, N. (2009) · Molecular Psychiatry · doi:10.1038/mp.2009.75 · Cited by 57 · see citing works
Peptides from adipose tissue in mental disorders
Wędrychowicz, A. (2014) · World Journal of Psychiatry · doi:10.5498/wjp.v4.i4.103 · Cited by 48 · see citing works
Barouk, S., Hintz, T. M., Li, P., Duffy, Á., MacLusky, N. J., & Scharfman, H. E. (2011) · Endocrinology · doi:10.1210/en.2010-1290 · Cited by 47 · see citing works
Pałucha-Poniewiera, A., Szewczyk, B., & Pilc, A. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.03.001 · Cited by 45 · see citing works
Antidepressant-Like Effects of Erythropoietin: A Focus on Behavioural and Hippocampal Processes
Osborn, M., Rustom, N., Clarke, M., Litteljohn, D., Rudyk, C., Anisman, H., & Hayley, S. P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072813 · Cited by 41 · see citing works
Rubinow, D. R., & Girdler, S. S. (2011) · Depression and Anxiety · doi:10.1002/da.20833 · Cited by 26 · see citing works
Hypothalamic BDNF and obesity: found in translation
Schwartz, E., & Mobbs, C. V. (2012) · Nature Medicine · doi:10.1038/nm.2716 · Cited by 25 · see citing works
Sanacora, G., & Schatzberg, A. F. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.338 · Cited by 25 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Liu, R.J. et al. Brain-derived neurotrophic factor Val66Met allele impairs basal and ketamine-stimulated synaptogenesis in prefrontal cortex. Biol. Psychiatry 71, 996–1005 (2012). · DOI · Paper page
Cited by
Sorted by citations
NMDAR inhibition-independent antidepressant actions of ketamine metabolites
Zanos, P., Moaddel, R., Morris, P. J., Georgiou, P., Fischell, J., Elmer, G. I., Alkondon, M., Yuan, P., Pribut, H. J., Singh, N. S., et al. (2016) · Nature · doi:10.1038/nature17998 · Cited by 1,609 · see citing works
Psychedelics promote structural and functional neural plasticity
Ly, C., Greb, A. C., Cameron, L. P., Wong, J. M., Barragan, E. V., Wilson, P. C., Burbach, K. F., Soltanzadeh Zarandi, S., Sood, A., Paddy, M. R., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.05.022 · Cited by 1,207 · see citing works
Mechanisms of ketamine action as an antidepressant
Zanos, P., & Gould, T. D. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.255 · Cited by 1,127 · see citing works
Major depressive disorder: hypothesis, mechanism, prevention and treatment
Cui, L., Li, S., Wang, S., Wu, X., Liu, Y., Yu, W., Wang, Y., Tang, Y., Xia, M., & Li, B. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01738-y · Cited by 1,061 · see citing works
Duman, R. S., Sanacora, G., & Krystal, J. H. (2019) · Neuron · doi:10.1016/j.neuron.2019.03.013 · Cited by 1,026 · see citing works
Self-citationPopova, V., Daly, E. J., Trivedi, M., Cooper, K., Lane, R., Lim, P., Mazzucco, C., Hough, D., Thase, M. E., Shelton, R. C., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19020172 · Cited by 904 · see citing works
McIntyre, R. S., Rosenblat, J. D., Nemeroff, C. B., Sanacora, G., Murrough, J. W., Berk, M., Brietzke, E., Dodd, S., Gorwood, P., Ho, R., et al. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20081251 · Cited by 731 · see citing works
Self-citationDaly, E. J., Singh, J. B., Fedgchin, M., Cooper, K., Lim, P., Shelton, R. C., Thase, M. E., Winokur, A., Van Nueten, L., Manji, H., et al. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.3739 · Cited by 718 · see citing works
Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model
Price, R. B., & Duman, R. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0615-x · Cited by 721 · see citing works
Self-citationCanuso, C. M., Singh, J. B., Fedgchin, M., Alphs, L., Lane, R., Lim, P., Pinter, C., Hough, D., Sanacora, G., Manji, H., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17060720 · Cited by 676 · see citing works
Self-citationSustained rescue of prefrontal circuit dysfunction by antidepressant-induced spine formation
Moda-Sava, R. N., Murdock, M. H., Parekh, P. K., Fetcho, R. N., Huang, B. S., Huynh, T. N., Witztum, J., Shaver, D. C., Rosenthal, D. L., Alway, E. J., et al. (2019) · Science · doi:10.1126/science.aat8078 · Cited by 643 · see citing works
The Role of Neural Plasticity in Depression: From Hippocampus to Prefrontal Cortex
Liu, W., Ge, T., Leng, Y., Pan, Z., Fan, J., Yang, W., & Cui, R. (2017) · Neural Plasticity · doi:10.1155/2017/6871089 · Cited by 640 · see citing works
How do antidepressants work? New perspectives for refining future treatment approaches
Harmer, C. J., Duman, R. S., & Cowen, P. J. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30015-9 · Cited by 616 · see citing works
Self-citationNagy, C., Maitra, M., Tanti, A., Suderman, M., Théroux, J.-F., Davoli, M. A., Perlman, K., Yerko, V., Wang, Y. C., Tripathy, S. J., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0621-y · Cited by 532 · see citing works
Attenuation of Antidepressant Effects of Ketamine by Opioid Receptor Antagonism
Williams, N. R., Heifets, B. D., Blasey, C., Sudheimer, K., Pannu, J., Pankow, H., Hawkins, J., Birnbaum, J., Lyons, D. M., Rodriguez, C. I., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.18020138 · Cited by 519 · see citing works
Lower synaptic density is associated with depression severity and network alterations
Holmes, S. E., Scheinost, D., Finnema, S. J., Naganawa, M., Davis, M. T., DellaGioia, N., Nabulsi, N., Matuskey, D., Angarita, G. A., Pietrzak, R. H., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09562-7 · Cited by 484 · see citing works
Self-citationTargeting glutamate signalling in depression: progress and prospects
Murrough, J. W., Abdallah, C. G., & Mathew, S. J. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.16 · Cited by 482 · see citing works
Kraus, C., Castrén, E., Kasper, S., & Lanzenberger, R. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.03.007 · Cited by 457 · see citing works
Grunebaum, M. F., Galfalvy, H. C., Choo, T.-H., Keilp, J. G., Moitra, V. K., Parris, M. S., Marver, J. E., Burke, A. K., Milak, M. S., Sublette, M. E., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.17060647 · Cited by 431 · see citing works
Cortical GABAergic Dysfunction in Stress and Depression: New Insights for Therapeutic Interventions
Fogaça, M. V., & Duman, R. S. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00087 · Cited by 396 · see citing works
Self-citationTreatment resistance in psychiatry: state of the art and new directions
Howes, O. D., Thase, M. E., & Pillinger, T. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01200-3 · Cited by 413 · see citing works
The Role of Exercise in Management of Mental Health Disorders: An Integrative Review
Smith, P. J., & Merwin, R. M. (2021) · Annual Review of Medicine · doi:10.1146/annurev-med-060619-022943 · Cited by 360 · see citing works
Fee, C., Banasr, M., & Sibille, E. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.024 · Cited by 329 · see citing works
GABA interneurons are the cellular trigger for ketamine's rapid antidepressant actions
Gerhard, D. M., Pothula, S., Liu, R.-J., Wu, M., Li, X.-Y., Girgenti, M. J., Taylor, S. R., Duman, C. H., Delpire, E., Picciotto, M., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci130808 · Cited by 345 · see citing works
Self-citationDuman, R. S., Deyama, S., & Fogaça, M. V. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.14630 · Cited by 321 · see citing works
Self-citationWohleb, E. S., Terwilliger, R., Duman, C. H., & Duman, R. S. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.026 · Cited by 288 · see citing works
Self-citationNeuronal plasticity and neurotrophic factors in drug responses
Castrén, E., & Antila, H. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.61 · Cited by 284 · see citing works
Neuroplasticity as a convergent mechanism of ketamine and classical psychedelics
Aleksandrova, L. R., & Phillips, A. G. (2021) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2021.08.003 · Cited by 276 · see citing works
Reviewing the Potential of Psychedelics for the Treatment of PTSD
Krediet, E., Bostoen, T., Breeksema, J., van Schagen, A., Passie, T., & Vermetten, E. (2020) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyaa018 · Cited by 260 · see citing works
Prefrontal cortical control of a brainstem social behavior circuit
Franklin, T. B., Silva, B. A., Perova, Z., Marrone, L., Masferrer, M. E., Zhan, Y., Kaplan, A., Greetham, L., Verrechia, V., Halman, A., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4470 · Cited by 231 · see citing works
An astroglial basis of major depressive disorder? An overview
Wang, Q., Jie, W., Liu, J., Yang, J., & Gao, T. (2017) · Glia · doi:10.1002/glia.23143 · Cited by 222 · see citing works
Psychedelics in Psychiatry: Neuroplastic, Immunomodulatory, and Neurotransmitter Mechanisms
Inserra, A., De Gregorio, D., & Gobbi, G. (2021) · Pharmacological Reviews · doi:10.1124/pharmrev.120.000056 · Cited by 232 · see citing works
Aleksandrova, L. R., Phillips, A. G., & Wang, Y. T. (2017) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.160175 · Cited by 228 · see citing works
Structural basis of ketamine action on human NMDA receptors
Zhang, Y., Ye, F., Zhang, T., Lv, S., Zhou, L., Du, D., Lin, H., Guo, F., Luo, C., & Zhu, S. (2021) · Nature · doi:10.1038/s41586-021-03769-9 · Cited by 218 · see citing works
Abdallah, C. G., Sanacora, G., Duman, R. S., & Krystal, J. H. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.05.010 · Cited by 219 · see citing works
Self-citationWidman, A. J., & McMahon, L. L. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718883115 · Cited by 204 · see citing works
The stressed synapse 2.0: pathophysiological mechanisms in stress-related neuropsychiatric disorders
Sanacora, G., Yan, Z., & Popoli, M. (2022) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00540-x · Cited by 197 · see citing works
Self-citationPham, T. H., & Gardier, A. M. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.02.017 · Cited by 186 · see citing works
Fukumoto, K., Fogaça, M. V., Liu, R.-J., Duman, C., Kato, T., Li, X.-Y., & Duman, R. S. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814709116 · Cited by 188 · see citing works
Self-citationYang, C., Yang, J., Luo, A., & Hashimoto, K. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0624-1 · Cited by 190 · see citing works
Neurotrophic mechanisms underlying the rapid and sustained antidepressant actions of ketamine
Deyama, S., & Duman, R. S. (2020) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2019.172837 · Cited by 186 · see citing works
Self-citationCampos, A. C., Fogaça, M. V., Scarante, F. F., Joca, S. R. L., Sales, A. J., Gomes, F. V., Sonego, A. B., Rodrigues, N. S., Galve-Roperh, I., & Guimarães, F. S. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00269 · Cited by 175 · see citing works
Convergent Mechanisms Underlying Rapid Antidepressant Action
Zanos, P., Thompson, S. M., Duman, R. S., Zarate, C. A., & Gould, T. D. (2018) · CNS Drugs · doi:10.1007/s40263-018-0492-x · Cited by 171 · see citing works
Self-citationMechanisms of ketamine and its metabolites as antidepressants
Hess, E. M., Riggs, L. M., Michaelides, M., & Gould, T. D. (2022) · Biochemical Pharmacology · doi:10.1016/j.bcp.2021.114892 · Cited by 169 · see citing works
Psychedelics and Other Psychoplastogens for Treating Mental Illness.
Vargas, M. V., Meyer, R., Avanes, A. A., Rus, M., & Olson, D. E. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.727117 · Cited by 166 · see citing works
Glutamatergic Neurotransmission: Pathway to Developing Novel Rapid-Acting Antidepressant Treatments
Kadriu, B., Musazzi, L., Henter, I. D., Graves, M., Popoli, M., & Zarate, C. A. (2019) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy094 · Cited by 165 · see citing works
Ketamine for the treatment of addiction: evidence and potential mechanisms
Ivan Ezquerra-Romano, I., Lawn, W., Krupitsky, E., & Morgan, C. J. A. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.01.017 · Cited by 163 · see citing works
Chronic Stress Weakens Connectivity in the Prefrontal Cortex: Architectural and Molecular Changes.
Woo, E., Sansing, L. H., Arnsten, A. F. T., & Datta, D. (2021) · Chronic Stress · doi:10.1177/24705470211029254 · Cited by 159 · see citing works
Esterlis, I., DellaGioia, N., Pietrzak, R. H., Matuskey, D., Nabulsi, N., Abdallah, C. G., Yang, J., Pittenger, C., Sanacora, G., Krystal, J. H., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.58 · Cited by 148 · see citing works
Self-citationKrystal, J. H., Abdallah, C. G., Averill, L. A., Kelmendi, B., Harpaz-Rotem, I., Sanacora, G., Southwick, S. M., & Duman, R. S. (2017) · Current Psychiatry Reports · doi:10.1007/s11920-017-0829-z · Cited by 145 · see citing works
Self-citationLinking What We Eat to Our Mood: A Review of Diet, Dietary Antioxidants, and Depression
Huang, Q., Liu, H., Suzuki, K., Ma, S., & Liu, C. (2019) · Antioxidants · doi:10.3390/antiox8090376 · Cited by 144 · see citing works
Cavaleri, D., Moretti, F., Bartoccetti, A., Mauro, S., Crocamo, C., Carrà, G., & Bartoli, F. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105159 · Cited by 146 · see citing works
Pham, T. H., Defaix, C., Xu, X., Deng, S.-X., Fabresse, N., Alvarez, J.-C., Landry, D. W., Brachman, R. A., Denny, C. A., & Gardier, A. M. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.020 · Cited by 131 · see citing works
Short term changes in the proteome of human cerebral organoids induced by 5-MeO-DMT
Dakic, V., Minardi Nascimento, J., Costa Sartore, R., Maciel, R. D. M., de Araujo, D. B., Ribeiro, S., Martins-de-Souza, D., & Rehen, S. K. (2017) · Scientific Reports · doi:10.1038/s41598-017-12779-5 · Cited by 134 · see citing works
PET imaging of synaptic density: A new tool for investigation of neuropsychiatric diseases
Cai, Z., Li, S., Matuskey, D., Nabulsi, N., & Huang, Y. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2018.07.038 · Cited by 131 · see citing works
Transient stimulation with psychoplastogens is sufficient to initiate neuronal growth
Ly, C., Greb, A. C., Vargas, M. V., Duim, W. C., Grodzki, A. C. G., Lein, P. J., & Olson, D. E. (2021) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.0c00065 · Cited by 123 · see citing works
Fogaça, M. V., Wu, M., Li, C., Li, X.-Y., Picciotto, M. R., & Duman, R. S. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00916-y · Cited by 129 · see citing works
Self-citationThe Nucleus Accumbens and Ketamine Treatment in Major Depressive Disorder
Abdallah, C. G., Jackowski, A., Salas, R., Gupta, S., Sato, J. R., Mao, X., Coplan, J. D., Shungu, D. C., & Mathew, S. J. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.49 · Cited by 123 · see citing works
The molecular pathophysiology of depression and the new therapeutics
Tian, H., Hu, Z., Xu, J., & Wang, C. (2022) · MedComm · doi:10.1002/mco2.156 · Cited by 122 · see citing works
Deyama, S., Bang, E., Kato, T., Li, X.-Y., & Duman, R. S. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.12.014 · Cited by 116 · see citing works
Self-citationRole and possible mechanisms of Sirt1 in depression
Lu, G., Li, J., Zhang, H., Zhao, X., Yan, L.-J., & Yang, X. (2018) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2018/8596903 · Cited by 106 · see citing works
Aleksandrova, L. R., Wang, Y. T., & Phillips, A. G. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.07.007 · Cited by 114 · see citing works
Ghosal, S., Bang, E., Yue, W., Hare, B. D., Lepack, A. E., Girgenti, M. J., & Duman, R. S. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.06.017 · Cited by 111 · see citing works
Self-citationMurínová, J., Hlaváčová, N., Chmelová, M., & Riečanský, I. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00101 · Cited by 110 · see citing works
Liu, R.-J., Duman, C., Kato, T., Hare, B., Lopresto, D., Bang, E., Burgdorf, J., Moskal, J., Taylor, J., Aghajanian, G., et al. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.202 · Cited by 105 · see citing works
Self-citationWilkinson, S. T., Rhee, T. G., Joormann, J., Webler, R., Ortiz Lopez, M., Kitay, B., Fasula, M., Elder, C., Fenton, L., & Sanacora, G. (2021) · Psychotherapy and Psychosomatics · doi:10.1159/000517074 · Cited by 108 · see citing works
Self-citationTornese, P., Sala, N., Bonini, D., Bonifacino, T., La Via, L., Milanese, M., Treccani, G., Seguini, M., Ieraci, A., Mingardi, J., et al. (2019) · Neurobiology of Stress · doi:10.1016/j.ynstr.2019.100160 · Cited by 101 · see citing works
Synaptic Mechanisms Regulating Mood State Transitions in Depression
Parekh, P. K., Johnson, S. B., & Liston, C. (2022) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-110920-040422 · Cited by 101 · see citing works
Kadriu, B., Greenwald, M., Henter, I. D., Gilbert, J. R., Kraus, C., Park, L. T., & Zarate, C. A. (2021) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyaa087 · Cited by 99 · see citing works
Woodburn, S. C., Bollinger, J. L., & Wohleb, E. S. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100312 · Cited by 100 · see citing works
Wang, G., An, T., Lei, C., Zhu, X., Yang, L., Zhang, L., & Zhang, R. (2022) · Journal of Ginseng Research · doi:10.1016/j.jgr.2021.03.005 · Cited by 101 · see citing works
An insula hierarchical network architecture for active interoceptive inference
Fermin, A. S. R., Friston, K., & Yamawaki, S. (2022) · Royal Society Open Science · doi:10.1098/rsos.220226 · Cited by 101 · see citing works
Ghosal, S., Duman, C. H., Liu, R.-J., Wu, M., Terwilliger, R., Girgenti, M. J., Wohleb, E., Fogaca, M. V., Teichman, E. M., Hare, B., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104669 · Cited by 89 · see citing works
Self-citationTaliaz, D., Spinrad, A., Barzilay, R., Barnett-Itzhaki, Z., Averbuch, D., Teltsh, O., Schurr, R., Darki-Morag, S., & Lerer, B. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01488-3 · Cited by 93 · see citing works
Li, W., Ali, T., Zheng, C., He, K., Liu, Z., Shah, F. A., Li, N., Yu, Z.-J., & Li, S. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01327-3 · Cited by 80 · see citing works
Aleksandrova, L. R., Wang, Y. T., & Phillips, A. G. (2020) · Molecular Brain · doi:10.1186/s13041-020-00627-z · Cited by 85 · see citing works
Price, R. B., Spotts, C., Panny, B., Griffo, A., Degutis, M., Cruz, N., Bell, E., Do-Nguyen, K., Wallace, M. L., Mathew, S. J., et al. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20220216 · Cited by 85 · see citing works
Imaging the effect of ketamine on synaptic density (SV2A) in the living brain
Holmes, S. E., Finnema, S. J., Naganawa, M., DellaGioia, N., Holden, D., Fowles, K., Davis, M., Ropchan, J., Emory, P., Ye, Y., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01465-2 · Cited by 78 · see citing works
“While animal studies show that ketamine induces increases in synaptic proteins and density [14, 40, 65], PET is generally not as sensitive as techniques such as Western blot analysis and two-photon microscopy [65], such that human PET imaging may not be capable of capturing the changes detected in animal studies.”
BackgroundSelf-citationThe influence of ketamine on drug discovery in depression
Kraus, C., Wasserman, D., Henter, I. D., Acevedo-Diaz, E., Kadriu, B., & Zarate, C. A. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.07.007 · Cited by 75 · see citing works
Neuroinflammatory basis of depression: learning from experimental models
Afridi, R., & Suk, K. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.691067 · Cited by 82 · see citing works
Dionisie, V., Ciobanu, A. M., Toma, V. A., Manea, M. C., Baldea, I., Olteanu, D., Sevastre-Berghian, A., Clichici, S., Manea, M., Riga, S., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22147483 · Cited by 78 · see citing works
Kang, M. J. Y., Hawken, E., & Vazquez, G. H. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.860882 · Cited by 77 · see citing works
New Treatment Strategies of Depression: Based on Mechanisms Related to Neuroplasticity
Huang, Y.-J., Lane, H.-Y., & Lin, C.-H. (2017) · Neural Plasticity · doi:10.1155/2017/4605971 · Cited by 74 · see citing works
Esketamine: new hope for the treatment of treatment-resistant depression? A narrative review
Salahudeen, M. S., Wright, C. M., & Peterson, G. M. (2020) · Therapeutic Advances in Drug Safety · doi:10.1177/2042098620937899 · Cited by 72 · see citing works
Gärtner, M., Aust, S., Bajbouj, M., Fan, Y., Wingenfeld, K., Otte, C., Heuser-Collier, I., Böker, H., Hättenschwiler, J., Seifritz, E., et al. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.02.008 · Cited by 66 · see citing works
Liang, G., Kow, A. S. F., Yusof, R., Tham, C. L., Ho, Y.-C., & Lee, M. T. (2024) · Biomedicines · doi:10.3390/biomedicines12010184 · Cited by 68 · see citing works
Nitric oxide signalling and antidepressant action revisited
Joca, S. R. L., Sartim, A. G., Roncalho, A. L., Diniz, C. F. A., & Wegener, G. (2019) · Cell and Tissue Research · doi:10.1007/s00441-018-02987-4 · Cited by 63 · see citing works
Kadriu, B., Musazzi, L., Johnston, J. N., Kalynchuk, L. E., Caruncho, H. J., Popoli, M., & Zarate, C. A. (2021) · Drug Discovery Today · doi:10.1016/j.drudis.2021.07.027 · Cited by 62 · see citing works
Kopelman, J., Keller, T. A., Panny, B., Griffo, A., Degutis, M., Spotts, C., Cruz, N., Bell, E., Do-Nguyen, K., Wallace, M. L., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02451-0 · Cited by 60 · see citing works
Miyanishi, H., & Nitta, A. (2021) · Pharmaceuticals · doi:10.3390/ph14090889 · Cited by 57 · see citing works
Colaço, C. S., Alves, S. S., Nolli, L. M., Pinheiro, W. O., de Oliveira, D. G. R., Santos, B. W. L., Pic-Taylor, A., Mortari, M. R., & Caldas, E. D. (2020) · Metabolic Brain Disease · doi:10.1007/s11011-020-00547-w · Cited by 58 · see citing works
Kraus, C., Mkrtchian, A., Kadriu, B., Nugent, A. C., Zarate, C. A., & Evans, J. W. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0624-0 · Cited by 54 · see citing works
Neurobiology of the rapid-acting antidepressant effects of ketamine: impact and opportunities
Shinohara, R., Aghajanian, G. K., & Abdallah, C. G. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.12.006 · Cited by 54 · see citing works
Self-citationHCN Channel Targets for Novel Antidepressant Treatment
Ku, S. M., & Han, M.-H. (2017) · Neurotherapeutics · doi:10.1007/s13311-017-0538-7 · Cited by 54 · see citing works
Esterlis, I., Holmes, S. E., Sharma, P., Krystal, J. H., & DeLorenzo, C. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.08.025 · Cited by 50 · see citing works
Self-citationPharmacotherapies Targeting GABA-Glutamate Neurotransmission for Treatment-Resistant Depression
Vecera, C. M., C. Courtes, A., Jones, G., Soares, J. C., & Machado-Vieira, R. (2023) · Pharmaceuticals · doi:10.3390/ph16111572 · Cited by 48 · see citing works
“In depressed patients, synaptic plasticity pathways have been shown to be disrupted in the PFC and hippocampi, correlated with α -amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and NMDA receptor abnormalities [45,46].”
BackgroundPardossi, S., Fagiolini, A., & Cuomo, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252313098 · Cited by 51 · see citing works
Rantamäki, T., & Kohtala, S. (2020) · Pharmacological Reviews · doi:10.1124/pr.119.018697 · Cited by 45 · see citing works
Li, Q., Zhang, B., Cao, H., Liu, W., Guo, F., Shen, F., Ye, B., Liu, H., Li, Y., & Liu, Z. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.107836 · Cited by 47 · see citing works
PI3K/AKT/GSK3β/CRMP-2-mediated neuroplasticity in depression induced by stress
Wu, Z., Wang, G., Wei, Y., Xiao, L., & Wang, H. (2018) · Neuroreport · doi:10.1097/wnr.0000000000001096 · Cited by 44 · see citing works
- Authors
- Duman, R. S., Aghajanian, G. K., Sanacora, G., & Krystal, J. H.
- Affiliations
- Yale University (US)
- Corresponding author
- Duman, Ronald S
- Venue
- Nature Medicine
- Published
- 2016-03
- Volume
- 22
- Issue
- 3
- Pages
- 238-249
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC5405628
- OpenAlex
- W2291443053
- Semantic Scholar
- cb1fcffcccbd09f3e331fe7d8e63de0c3285a0c1
- Cited by
- 1,750
- References
- 198
- Citations by year
- 2026: 211 · 2025: 233 · 2024: 209 · 2023: 168 · 2022: 190 · 2021: 192 · 2020: 151 · 2019: 147 · 2018: 125 · 2017: 93 · 2016: 27 · 2015: 1
- FWCI
- 105.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (UH2TR000960)
- National Institute on Alcohol Abuse and Alcoholism (P50 AA12870, P50AA012870)
- National Institute of Mental Health (MH045481, MH093897, R01MH093897, R01MH105910)
- National Center for Research Resources (M01RR000125, M01 RR-00125, UL1RR024139)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- depression, synaptic plasticity, stress, rapid-acting antidepressants, antidepressant resistance, serotonin reuptake inhibitors, mood regulation, neuronal dysfunction, neurobiology of stress
- MeSH terms
- Antidepressive Agents, Depressive Disorder, Diabetes Mellitus, Female, Glucocorticoids, Humans, Hypothalamo-Hypophyseal System, Inflammation, Ketamine, Male, Neuronal Plasticity, Pituitary-Adrenal System, Sex Factors, Stress, Psychological, Time Factors, Signal Transduction, Cytokines, Selective Serotonin Reuptake Inhibitors, Excitatory Amino Acid Antagonists, Brain-Derived Neurotrophic Factor
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review