Acupuncture Treatment for Social Defeat Stress

Electro-acupuncture inhibits HDAC2 via modulating gut microbiota to ameliorate SNI-induced pain and depression-like behavior in rats

BACKGROUND

Depression and chronic pain frequent co-occur, exacerbating each other's symptoms and hindering treatment. Emerging studies have highlighted abnormal gut microbiota in both conditions. Previous studies have demonstrated the clinical effectiveness of electro-acupuncture (EA) in managing these conditions, yet the underlying mechanisms remain elusive.

METHODS

Spared nerve injury (SNI) was employed to induce chronic pain and depression-like behavior. Rats were randomly assigned to sham SNI (SS), SNI, and EA groups. SNI surgery was performed on all rats, except those in SS group, which underwent sham SNI surgery. Then EA group received 5 weeks of EA treatment. Pain and depression-like behavior were assessed through paw withdrawal threshold, sucrose-preference test, and forced swim test. Gut microbiota composition was analyzed via 16S rDNA sequencing. Brain-Derived Neurotrophic Factor (BDNF) and acetylation-related proteins in the medial prefrontal cortex (mPFC) were evaluated through enzyme-linked immunosorbent assay and western blot.

RESULTS

EA treatment significantly ameliorated pain and depression-like behavior. The 16S rDNA sequencing showed EA modulated gut microbiota composition, increased short-chain fatty acids (SCFAs)-producing bacteria, including Akkermansi, Ruminococcaceae and Lachnospiraceae family, particularly Akkermansia. Furthermore, EA increased BDNF, AcH3 and decreased HDAC2 in mPFC. Notably, SCFAs-producing bacteria exhibited a negative correlation with HDAC2 levels.

LIMITATIONS

This study exclusively investigated microbiota differences resulting from EA stimulation, without delving into the functional variations brought about by these microbial distinctions.

CONCLUSIONS

The therapeutic effects of EA on the comorbidity of chronic pain and depression may involve the modulation of the gut microbiota, resulting in histone acetylation changes and upregulation of BDNF.

Targeting BDNF with acupuncture: A novel integrated strategy for diabetes and depression comorbidity

Diabetes and depression are common comorbid conditions that impose a substantial health burden. Acupuncture may effectively improve symptoms in patients with diabetes and depression, but the underlying mechanism remains unclear. Brain-derived neurotrophic factor (BDNF) may play a vital role in the effects of acupuncture on diabetes and depression comorbidity. This review summarizes the potential role of BDNF in acupuncture for diabetes and depression comorbidity. BDNF appears to exert its effects via the BDNF-TrkB-ERK-CREB signaling pathway. BDNF levels are reduced in diabetes and depression, and acupuncture may increase BDNF expression, improving symptoms and glycemic control. High-quality research is needed to validate the efficacy of acupuncture for diabetes and depression comorbidity. Randomized controlled trials and mechanistic studies should investigate the BDNF pathway and other potential mechanisms. Improved understanding of the links between diabetes, depression and acupuncture may enable targeted and individualized patient care. Earlier diagnosis and management of diabetes and depression comorbidity should also be a priority.

Low-Dimensional Dynamics of Brain Activity Associated with Manual Acupuncture in Healthy Subjects

Acupuncture is one of the oldest traditional medical treatments in Asian countries. However, the scientific explanation regarding the therapeutic effect of acupuncture is still unknown. The much-discussed hypothesis it that acupuncture’s effects are mediated via autonomic neural networks; nevertheless, dynamic brain activity involved in the acupuncture response has still not been elicited. In this work, we hypothesized that there exists a lower-dimensional subspace of dynamic brain activity across subjects, underpinning the brain’s response to manual acupuncture stimulation. To this end, we employed a variational auto-encoder to probe the latent variables from multichannel EEG signals associated with acupuncture stimulation at the ST36 acupoint. The experimental results demonstrate that manual acupuncture stimuli can reduce the dimensionality of brain activity, which results from the enhancement of oscillatory activity in the delta and alpha frequency bands induced by acupuncture. Moreover, it was found that large-scale brain activity could be constrained within a low-dimensional neural subspace, which is spanned by the “acupuncture mode”. In each neural subspace, the steady dynamics of the brain in response to acupuncture stimuli converge to topologically similar elliptic-shaped attractors across different subjects. The attractor morphology is closely related to the frequency of the acupuncture stimulation. These results shed light on probing the large-scale brain response to manual acupuncture stimuli.