Connectomics: A New Direction in Research to Understand the Mechanism of Acupuncture

Acupuncture has been used to treat various disorders in China and some other eastern countries for thousands of years. Nowadays, acupuncture is gradually accepted as an alternative and complementary method in western countries for its undeniable therapeutic effects. However, its central mechanism is still unclear. It is especially difficult to reveal how different regions in the brain influence one another and how the relationship is among these regions responding to acupuncture treatment. Recently, by applying neuroimaging techniques and network theory, acupuncture studies can make further efforts to investigate the influence of acupuncture on regional cerebral functional connectivity (FC) and the modulation on “acupuncture-related” networks. Connectomics appears to be a new direction in research to further understand the central mechanism underlying acupuncture. In this paper, an overview of connectomics application in acupuncture research will be discussed, with special emphasis on present findings of acupuncture and its influence on cerebral FC. Firstly, the connectomics concept and its significance on acupuncture will be outlined. Secondly, the commonly used brain imaging techniques will be briefly introduced. Thirdly, the influence of acupuncture on FC will be discussed in greater detail. Finally, the possible direction in forthcoming research will be reviewed by analyzing the limitation of present studies

Anti-inflammatory effect of Zanthoxylum bungeanum-cake-separated moxibustion on rheumatoid arthritis rats

Background: Zanthoxylum bungeanum-cake-separated moxibustion (ZBCS-moxi), a kind of traditional therapy of moxibustion, has been used in China since 340 B.C. However, its mechanism remains unclear. So, this study was attempted to reveal the anti-inflammatory effect of ZBCS-moxi on rheumatoid arthritis (RA) rats.Methods and Materials: Forty health SD female rats were randomly divided into 4 groups  (n=10/group): control group, model group, Zanthoxylum bungeanum-cake-separated moxibustion group (ZBCS-moxi group) and Aconitum carmichaeli-cake-separated moxibustion group (ACCS-moxi group). RA model was induced by injecting 0.1 ml Freund’s complete adjuvant (FCA) into the right hind paw of rats. Eleven days after CFA injection, the rats in ZBCS-moxi group received Zanthoxylum bungeanum- cake-separated moxibustion on Shenshu (BL23), Zusanli (ST36) acupoints and the dorsum right hind paw respectively for 3 weeks. The ACCS-moxi group was used as a positive control, while the rats were treated with Aconitum carmichaeli-cake-separated moxibustion on the same acupoints and courses. After a 3-week treatment, we investigated anti-inflammatory effect by measuring the paw volume,  observing the pathologic morphology of synovial membranes and detecting the concentration of IL-1β and TNF-α in serum.Results: Compared to model group, the swollen paw volumes, the synovial hyperplasia and pannus formation of synovial membranes and the concentration of IL-1β and TNF-α in serum decreased obviously (P<0.01, P<0.05) in ZBCS-moxi group, as well as in ACCS-moxi group. However, the swollen paw volumes, the synovial hyperplasia and pannus formation of synovial membranes and the concentration of IL-1β and TNF-α in serum in ZBCS-moxi and ACCS-moxi group did not show significant differences (P>0.05)Conclusions: ZBCS-moxi displays anti-inflammatory effect on RA rats via suppressing the expression of cytokines and has similar effect to ACCS-moxi.Key words: Anti-inflammatory effect; Zanthoxylum bungeanum-cake-separated moxibustion; Aconitum carmichaeli-cake-separated moxibustion; Rheumatoid Arthritis

ANTI-INFLAMMATORY EFFECT OF ZANTHOXYLUM BUNGEANUM-CAKE-SEPARATED MOXIBUSTION ON RHEUMATOID ARTHRITIS RATS

Background: Zanthoxylum bungeanum-cake-separated moxibustion (ZBCS-moxi), a kind of traditional therapy of moxibustion, has been used in China since 340 B.C. However, its mechanism remains unclear. So, this study was attempted to reveal the anti-inflammatory effect of ZBCS-moxi on rheumatoid arthritis (RA) rats. Methods and Materials: Forty health SD female rats were randomly divided into 4 groups (n=10/group): control group, model group, Zanthoxylum bungeanum-cake-separated moxibustion group (ZBCS-moxi group) and Aconitum carmichaeli-cake-separated moxibustion group (ACCS-moxi group). RA model was induced by injecting 0.1 ml Freund’s complete adjuvant (FCA) into the right hind paw of rats. Eleven days after CFA injection, the rats in ZBCS-moxi group received Zanthoxylum bungeanum- cake-separated moxibustion on Shenshu (BL23), Zusanli (ST36) acupoints and the dorsum right hind paw respectively for 3 weeks. The ACCS-moxi group was used as a positive control, while the rats were treated with Aconitum carmichaeli-cake-separated moxibustion on the same acupoints and courses. After a 3-week treatment, we investigated anti-inflammatory effect by measuring the paw volume, observing the pathologic morphology of synovial membranes and detecting the concentration of IL-1β and TNF-α in serum. Results: Compared to model group, the swollen paw volumes, the synovial hyperplasia and pannus formation of synovial membranes and the concentration of IL-1β and TNF-α in serum decreased obviously (

A systematic review and meta-analysis of voxel-based morphometric studies of fibromyalgia

ObjectiveAlthough neuroimaging investigations have revealed significant changes in brain structure in fibromyalgia (FM) patients, these findings are inconsistent. The current study conducted a systematic review and meta-analysis of voxel-based morphometric studies in order to comprehend those alterations in brain structure in FM patients.MethodsVoxel-based morphometric (VBM) studies published up to January 17, 2023 were searched in the Web of Science, PubMed, EMBASE, Cochrane Library (CENTRAL), China National Knowledge Infrastructure (CNKI), Chongqing VIP, Wanfang Database. Two independent researchers carried out study screening, quality assessment, clinical data and neuroimaging data extraction. The whole-brain voxel-based gray matter (GM) data of FM patients were collected from eligible studies, and meta-analyzed using anisotropic effect size-signed differential mapping (AES-SDM).ResultsTwelve researches were included in this study, including 289 FM patients (mean age: 47.36 years) and 272 HS (mean age: 47.34 years). According to the meta-analysis, FM patients had increased GM in the right postcentral gyrus and left angular gyrus, and decreased GM in the right cingulate gyrus, right paracingulate gyrus, left cerebellum, and left gyrus rectus.ConclusionOur study suggests that fibromyalgia patients have altered gray matter in several brain regions that are involved in affective, cognitive functions, and in motor adaptations to pain processing

MGAE: Marginalized graph autoencoder for graph clustering

© 2017 ACM. Graph clustering aims to discover community structures in networks, the task being fundamentally challenging mainly because the topology structure and the content of the graphs are dicult to represent for clustering analysis. Recently, graph clustering has moved from traditional shallow methods to deep learning approaches, thanks to the unique feature representation learning capability of deep learning. However, existing deep approaches for graph clustering can only exploit the structure information, while ignoring the content information associated with the nodes in a graph. In this paper, we propose a novel marginalized graph autoencoder (MGAE) algorithm for graph clustering. The key innovation of MGAE is that it advances the autoencoder to the graph domain, so graph representation learning can be carried out not only in a purely unsupervised se.ing by leveraging structure and content information, it can also be stacked in a deep fashion to learn effective representation. From a technical viewpoint, we propose a marginalized graph convolutional network to corrupt network node content, allowing node content to interact with network features, and marginalizes the corrupted features in a graph autoencoder context to learn graph feature representations. The learned features are fed into the spectral clustering algorithm for graph clustering. Experimental results on benchmark datasets demonstrate the superior performance of MGAE, compared to numerous baselines

Multi-Graph Fusion Networks for Urban Region Embedding

Learning the embeddings for urban regions from human mobility data can reveal the functionality of regions, and then enables the correlated but distinct tasks such as crime prediction. Human mobility data contains rich but abundant information, which yields to the comprehensive region embeddings for cross domain tasks. In this paper, we propose multi-graph fusion networks (MGFN) to enable the cross domain prediction tasks. First, we integrate the graphs with spatio-temporal similarity as mobility patterns through a mobility graph fusion module. Then, in the mobility pattern joint learning module, we design the multi-level cross-attention mechanism to learn the comprehensive embeddings from multiple mobility patterns based on intra-pattern and inter-pattern messages. Finally, we conduct extensive experiments on real-world urban datasets. Experimental results demonstrate that the proposed MGFN outperforms the state-of-the-art methods by up to 12.35% improvement

Ripa-56 protects retinal ganglion cells in glutamate-induced retinal excitotoxic model of glaucoma

Abstract Glaucoma is a prevalent cause of blindness globally, characterized by the progressive degeneration of retinal ganglion cells (RGCs). Among various factors, glutamate excitotoxicity stands out as a significant contributor of RGCs loss in glaucoma. Our study focused on Ripa-56 and its protective effect against NMDA-induced retinal damage in mice, aiming to delve into the potential underlying mechanism. The R28 cells were categorized into four groups: glutamate (Glu), Glu + Ripa-56, Ripa-56 and Control group. After 24 h of treatment, cell death was assessed by PI / Hoechst staining. Mitochondrial membrane potential changes, apoptosis and reactive oxygen species (ROS) production were analyzed using flow cytometry. The alterations in the expression of RIP-1, p-MLKL, Bcl-2, BAX, Caspase-3, Gpx4 and SLC7A11 were examined using western blot analysis. C57BL/6j mice were randomly divided into NMDA, NMDA + Ripa-56, Ripa-56 and control groups. Histological changes in the retina were evaluated using hematoxylin and eosin (H&E) staining. RGCs survival and the protein expression changes of RIP-1, Caspase-3, Bcl-2, Gpx4 and SLC7A11 were observed using immunofluorescence. Ripa-56 exhibited a significant reduction in the levels of RIP-1, p-MLKL, Caspase-3, and BAX induced by glutamate, while promoting the expression of Bcl-2, Gpx-4, and SLC7A1 in the Ripa-56-treated group. In our study, using an NMDA-induced normal tension glaucoma mice model, we employed immunofluorescence and H&E staining to observe that Ripa-56 treatment effectively ameliorated retinal ganglion cell loss, mitigating the decrease in retinal ganglion cell layer and bipolar cell layer thickness caused by NMDA. In this study, we have observed that Ripa-56 possesses remarkable anti- necroptotic, anti-apoptotic and anti-ferroptosis properties. It demonstrates the ability to combat not only glutamate-induced excitotoxicity in R28 cells, but also NMDA-induced retinal excitotoxicity in mice. Therefore, Ripa-56 could be used as a potential retinal protective agent