Xinglou Chengqi Decoction improves neurological function in experimental stroke mice as evidenced by gut microbiota analysis and network pharmacology

Gao, Qiang; Han, Zhijie; Tian, Danfeng; Liu, Ganlu; WANG, Zhen-Yi; Lin, Jingfeng; Chang, Ze; ZHANG, Dan-Dan; Xie, Youhua; Sun, Yikun; Yao, Xiaolan; Ma, Dayong

doi:10.1016/s1875-5364(21)60079-1

Cited by 13 publications

(17 citation statements)

References 55 publications

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“…Network pharmacology is based on multi-disciplinary knowledge such as system biology, multi pharmacology, bioinformatics, computer technology, and network analysis (Berger and Iyengar, 2009 ; Chen et al, 2012 ; Yuan et al, 2019 ; Li et al, 2020 ). It systematically studies the drug-target-pathway-disease interaction network and discusses the multi-component, multi-target, and multi-channel pharmacological mechanism of traditional Chinese medicine (TCM) (Li et al, 2014 ; Xiong et al, 2018 ; Jiang et al, 2020 ; Gao et al, 2021 ). It plays a very important role in exploring treatment approaches and clarifying drug efficacy, especially in finding the effective components of drugs, which is highly consistent with the holistic view emphasized by the theory of traditional Chinese medicine.…”

Section: Introductionmentioning

confidence: 99%

Alzheimer-Compound Identification Based on Data Fusion and forgeNet_SVM

Yang

Bao

Hong

2022

Front. Aging Neurosci.

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Rapid screening and identification of potential candidate compounds are very important to understand the mechanism of drugs for the treatment of Alzheimer's disease (AD) and greatly promote the development of new drugs. In order to greatly improve the success rate of screening and reduce the cost and workload of research and development, this study proposes a novel Alzheimer-related compound identification algorithm namely forgeNet_SVM. First, Alzheimer related and unrelated compounds are collected using the data mining method from the literature databases. Three molecular descriptors (ECFP6, MACCS, and RDKit) are utilized to obtain the feature sets of compounds, which are fused into the all_feature set. The all_feature set is input to forgeNet_SVM, in which forgeNet is utilized to provide the importance of each feature and select the important features for feature extraction. The selected features are input to support vector machines (SVM) algorithm to identify the new compounds in Traditional Chinese Medicine (TCM) prescription. The experiment results show that the selected feature set performs better than the all_feature set and three single feature sets (ECFP6, MACCS, and RDKit). The performances of TPR, FPR, Precision, Specificity, F1, and AUC reveal that forgeNet_SVM could identify more accurately Alzheimer-related compounds than other classical classifiers.

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Section: Introductionmentioning

confidence: 99%

Alzheimer-Compound Identification Based on Data Fusion and forgeNet_SVM

Yang

Bao

Hong

2022

Front. Aging Neurosci.

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“…Firmicutes are the main bacterial phylum in the mammalian gut. Moreover, the abundance of Firmicutes decreased in patients with post-stroke cognitive impairment ( Ling et al, 2020 ) and in MCAO pigs ( Jeon et al, 2020 ), rats ( Xian et al, 2022 ), and mice ( Gao et al, 2021 ). Firmicutes showed a negative correlation with lesion volume, midline shift, and hemorrhage volume in ischemic stroke ( Jeon et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“…Lachnospiraceae is a family of bacteria from the phylum Firmicutes , and the genera Lachnoclostridium , Lachnospiraceae_UCG-006 , and Roseburia belong to the family Lachnospiraceae . Deregulation of Lachnospiraceae and Roseburia abundance after MCAO has been demonstrated in mice ( Xia et al, 2019 ; Gao et al, 2021 ). Compared with the model group, the abundance of these bacteria was significantly increased after ANP treatment in the present study, consistent with the changes in Firmicutes .…”

Section: Discussionmentioning

confidence: 99%

Angong Niuhuang Pill ameliorates cerebral ischemia/reperfusion injury in mice partly by restoring gut microbiota dysbiosis

et al. 2022

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“…NaoMaiTong corrected the dismal prognosis following stroke by restoring gut flora (44). Formulations of Xingu Chengqi stimulate the release of anti-inflammatory factors, such as IL-10, and downregulate proinflammatory factors, Frontiers in Immunology frontiersin.org such as TNF-a, IL-17A, and IL-22 (163). Increasing SCFA levels also enhance neurological function, alleviates cerebral infarction, and reduce neuronal death (163).…”

Section: Traditional Chinese Medicinementioning

confidence: 99%

“…Formulations of Xingu Chengqi stimulate the release of anti-inflammatory factors, such as IL-10, and downregulate proinflammatory factors, Frontiers in Immunology frontiersin.org such as TNF-a, IL-17A, and IL-22 (163). Increasing SCFA levels also enhance neurological function, alleviates cerebral infarction, and reduce neuronal death (163). Resveratrol mitigates ischemic brain injury by modulating T lymphocytes to minimize BBB injury and neuroinflammation caused by proinflammatory factors (31).…”

Section: Traditional Chinese Medicinementioning

confidence: 99%

Gut microbes in cerebrovascular diseases: Gut flora imbalance, potential impact mechanisms and promising treatment strategies

et al. 2022

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The high morbidity, mortality, and disability rates associated with cerebrovascular disease (CeVD) pose a severe danger to human health. Gut bacteria significantly affect the onset, progression, and prognosis of CeVD. Gut microbes play a critical role in gut-brain interactions, and the gut-brain axis is essential for communication in CeVD. The reflection of changes in the gut and brain caused by gut bacteria makes it possible to investigate early warning biomarkers and potential treatment targets. We primarily discussed the following three levels of brain-gut interactions in a systematic review of the connections between gut microbiota and several cerebrovascular conditions, including ischemic stroke, intracerebral hemorrhage, intracranial aneurysm, cerebral small vessel disease, and cerebral cavernous hemangioma. First, we studied the gut microbes in conjunction with CeVD and examined alterations in the core microbiota. This enabled us to identify the focus of gut microbes and determine the focus for CeVD prevention and treatment. Second, we discussed the pathological mechanisms underlying the involvement of gut microbes in CeVD occurrence and development, including immune-mediated inflammatory responses, variations in intestinal barrier function, and reciprocal effects of microbial metabolites. Finally, based on the aforementioned proven mechanisms, we assessed the effectiveness and potential applications of the current therapies, such as dietary intervention, fecal bacterial transplantation, traditional Chinese medicine, and antibiotic therapy.

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Xinglou Chengqi Decoction improves neurological function in experimental stroke mice as evidenced by gut microbiota analysis and network pharmacology

Cited by 13 publications

References 55 publications

Alzheimer-Compound Identification Based on Data Fusion and forgeNet_SVM

Alzheimer-Compound Identification Based on Data Fusion and forgeNet_SVM

Angong Niuhuang Pill ameliorates cerebral ischemia/reperfusion injury in mice partly by restoring gut microbiota dysbiosis

Gut microbes in cerebrovascular diseases: Gut flora imbalance, potential impact mechanisms and promising treatment strategies

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