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Rostral ventromedial medulla contributes to stress-induced depression and pain

2024· article· en· W4395466993 on OpenAlexaff
Wantong Shi, Qi‐Yu Chen, Min Zhuo

Bibliographic record

VenuePain · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsCanada Research ChairsUniversity of Toronto
Fundersnot available
KeywordsRostral ventromedial medullaDepression (economics)Ventromedial prefrontal cortexMedicinePsychologyNeuroscienceHyperalgesiaNociceptionInternal medicine

Abstract

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It is well known that spinal sensory transmission receives descending modulation from the rostral ventromedial medulla (RVM).5,6,14 This modulation is biphasic, and different neurotransmitters and modulators contribute to this biphasic modulation. At synaptic levels, both facilitation and inhibition of spinal synaptic transmission may contain presynaptic regulation of sensory transmitter releases and the regulation of postsynaptic receptors.13,14 Regulation of spinal local inhibitory neurons may also indirectly contribute to biphasic modulation. Neurons in the RVM are likely mixed, divided into on-cells, off-cells, and neutral-cells.7,9 Activation of different groups of neurons may contribute to the facilitation or inhibition of pain. While chronic pain is a major medical problem that is poorly controlled by conventional medicines, chronic emotional stress and its related anxiety and depression are becoming major societal problems. The interaction between pain (including chronic pain) and negative emotions, such as anxiety or depression, has been reported in disease conditions.12,13 There is a great need to investigate the basic mechanisms of network, synaptic, and molecular for these diseases. Among different animal models, chronic social defect stress (CSDS) is a useful model for studying stress-induced behavioral impairments associated with depression in rodents. Different brain circuits have been previously reported to contribute to CSDS. Among them, the RVM is closely linked to brain structures associated with pain and stress, such as the anterior cingulate cortex (ACC), insular cortex, nucleus accumbens (NAc), amygdala, and hypothalamus.7,9,10 Previous studies of RVM are mainly focused how it may contribute to pain or emotional modulation in chronic pain conditions, less is known if it may contribute to depression or pain in case of chronic stress. In a recent issue of PAIN, using chemogenetics to activate or inhibit the RVM during stress, Pagliusi et al. demonstrated that the RVM is an important hub for influencing stress outcomes. Previous studies have shown that chronic or repeated stress facilitates pain, resulting in the phenomenon of stress-induced hyperalgesia (SIH).7 In their study, RVM activation during CSDS by a chemogenetic approach ameliorated the major stress outcomes, including social avoidance, allodynia, hyperalgesia, anhedonia, and depression-like behaviors. The results of Pagliusi et al. are consistent with previous evidence that activating RVM leads to analgesia,4 suggesting that the RVM is involved in the regulation of chronic stress-related pain. Such an analgesic effect (or antinociceptive effect, more precisely) may be mediated by descending inhibitory systems from the RVM to the spinal cord.5,6 Alternatively, RVM may act through its supraspinal projections to cortical and related subcortical areas to produce antinociceptive effects. It has been reported that serotonin (5-HT) produces inhibitory modulation of excitatory synaptic transmission in the ACC.11 The ACC is important for pain perception and top–down descending facilitation.3 It is possible that the serotonergic system plays an important role in the RVM-mediated antinociceptive effects. In addition, this is the first study to demonstrate that the RVM is involved in the regulation of depression-related behavior. The most widely accepted hypothesis for depression is the depletion of monoamines in the brain, especially 5-HT. In fact, traditional antidepressants, such as serotonin reuptake inhibitors, which enhance 5-HT transmission, are currently the primary choice for antidepressant treatment.8 Many corticolimbic structures that express 5-HT receptors are involved in mood regulation and the stress response, including the prefrontal cortex (PFC), amygdala, hippocampus, and NAc.8 However, whether there are 5-HT projections between the RVM and these brain areas or whether these projections mediate stress-induced depression remains to be investigated. As opposed to SIH, exposure to an acute stress triggers a reduction in pain responding, a phenomenon described as stress-induced analgesia (SIA). Stress-induced analgesia is mediated by activation of the descending inhibitory pain pathway.2 Pagliusi et al. found that acute RVM inhibition during subthreshold social defeat stress facilitated all stress outcomes. In contrast to activation of RVM-mediated antinociceptive effects, inhibition of RVM-mediated facilitation may be related to the descending facilitation system from the RVM to the spinal cord.14 Interestingly, Pagliusi et al. found that without stressful stimuli, chronic RVM inhibition triggered facilitation of pain, suggesting that this facilitation of nociception is maybe due to inhibition of tonic descending inhibition.14 This study focused on the role of the RVM on SIH/SIA. However, some projections associated with RVM may also cause these effects. Among them, ACC is an important brain region involved in chronic pain and stress outcomes. It is reported that the projection from the basolateral amygdala (BLA) to the ACC contributes to depression-like behaviors and comorbidity with chronic pain behaviors.1 The projections from the ACC to the RVM are involved in the descending facilitation of pain.13 Thus, the RVM could serve as the final hub in this circuitry, making it participated in both chronic pain and depression-like behaviors. Current studies tend to focus on the role of a specific brain region or a specific neurotransmitter in stress-induced chronic pain and depression-like behaviors. Future studies should focus on projective connections between different brain regions, as well as cross talk between different neurotransmitter and receptor systems to better understand stress-induced comorbidities. In summary, the work by Pagliusi et al. provides useful models for understanding stress-induced comorbidity between chronic pain and depression. This study suggests the RVM involved in mediating chronic pain and depression-like behaviors induced by social stress, providing new insights into understanding the comorbidity between pain and depression. However, in this paper, only behavioral functional tests were performed, and there are multiple future research directions, which include synaptic and molecular mechanisms of the RVM, as well as different projection pathways and cell types, can be studied for stress-induced chronic pain and depression-like behaviors. Rostral ventromedial medulla, which includes the nucleus raphe magna and its surrounding ventral reticular structure,5 is nonhomogenous, and their study did not specifically distinguish activated subnuclei and specific cell types, and more experiments are needed in the future. In addition, the social defeat stress model in this study was only applicable to male rodents and did not consider the effects of sex and sex hormones on SIH/SIA. If it is necessary to study the effects of the RVM on SIH/SIA in different genders, another stress model applicable to female rodents should be explored. Conflict of interest statement The authors have no conflict of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.284
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2024
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