[Research progress on traditional Chinese medicine in treatment of neurodegenerative diseases by delaying neurovascular unit aging].

Neurodegenerative diseases are a collective term for a large group of diseases caused by degenerative changes in nerve cells. Aging is the main risk factor for neurodegenerative diseases. The neurovascular unit(NVU) is the smallest functional unit of the brain, which regulates brain blood flow and maintains brain homeostasis. Accelerated aging of NVU cells directly impairs NVU function and leads to the occurrence of various neurodegenerative diseases. The intrinsic mechanisms of NVU cell aging are complex and involve oxidative stress damage, loss of protein homeostasis, DNA damage, mitochondrial dysfunction, immune inflammatory response, and impaired cellular autophagy. In recent years, studies have found that traditional Chinese medicine(TCM) can inhibit NVU aging through multiple pathways and targets, exerting a brain-protective effect. Therefore, this article aimed to provide a theoretical basis for further research on TCM inhibition of NVU cell aging and references for new drug development and clinical applications by reviewing its mechanisms of anti-aging, such as regulating relevant proteins, improving mitochondrial dysfunction, reducing DNA damage, lowering inflammatory response, antioxidant stress, and modulating cellular autophagy.

Potential regulatory effects of stem cell exosomes on inflammatory response in ischemic stroke treatment.

The high incidence and disability rates of stroke pose a heavy burden on society. Inflammation is a significant pathological reaction that occurs after an ischemic stroke. Currently, therapeutic methods, except for intravenous thrombolysis and vascular thrombectomy, have limited time windows. Mesenchymal stem cells (MSCs) can migrate, differentiate, and inhibit inflammatory immune responses. Exosomes (Exos), which are secretory vesicles, have the characteristics of the cells from which they are derived, making them attractive targets for research in recent years. MSC-derived exosomes can attenuate the inflammatory response caused by cerebral stroke by modulating damage-associated molecular patterns. In this review, research on the inflammatory response mechanisms associated with Exos therapy after an ischemic injury is discussed to provide a new approach to clinical treatment.

Catechins and Their Therapeutic Benefits to Inflammatory Bowel Disease.

Catechins are natural polyphenolic phytochemicals that exist in food and medicinal plants, such as tea, legume and rubiaceae. An increasing number of studies have associated the intake of catechins-rich foods with the prevention and treatment of chronic diseases in humans, such as inflammatory bowel disease (IBD). Some studies have demonstrated that catechins could significantly inhibit the excessive oxidative stress through direct or indirect antioxidant effects and promote the activation of the antioxidative substances such as glutathione peroxidases (GPO) and glutathione (GSH), reducing the oxidative damages to the colon. In addition, catechins can also regulate the infiltration and proliferation of immune related-cells, such as neutrophils, colonic epithelial cells, macrophages, and T lymphocytes, helping reduce the inflammatory relations and provide benefits to IBD. Perhaps catechins can further inhibit the deterioration of intestinal lesions through regulating the cell gap junctions. Furthermore, catechins can exert their significant anti-inflammatory properties by regulating the activation or deactivation of inflammation-related oxidative stress-related cell signaling pathways, such as nuclear factor-kappa B (NF-κB), mitogen activated protein kinases (MAPKs), transcription factor nuclear factor (erythroid-derived 2)-like 2 (Nrf2), signal transducer and the activator of transcription 1/3 (STAT1/3) pathways. Finally, catechins can also stabilize the structure of the gastrointestinal micro-ecological environment via promoting the proliferation of beneficial intestinal bacteria and regulating the balance of intestinal flora, so as to relieve the IBD. Furthermore, catechins may regulate the tight junctions (TJ) in the epithelium. This paper elaborates the currently known possible molecular mechanisms of catechins in favor of IBD.

Detecting the determinism of EEG time series using a nonlinear forecasting method.

The determinism of time series is investigated using a nonlinear non-parametric forecasting method. The goodness of prediction was estimated in terms of the prediction error of the predicted time series. A new definition of the prediction effect was made in the present study. Three typical kinds of time series were detected using our new method. In deterministic chaotic time series, good prediction was obtained in the new definition. However, for Gaussian random noise and schizophrenia EEG signal, the predictability could not found. We concluded that EEGs in schizophrenic patients were not deterministic.

Use of ANN and Complexity Measures in Cognitive EEG Discrimination.

The purpose of this paper is to apply BP ANN to the discrimination of three kinds of subjects (clinical diagnosed 62 schizophrenic patients, 48 depressive patients and 26 normal controls) respectively in resting state with eyes closed and three cognitive tasks, with EEG complexity measures used as feature vectors. EEG activity is recorded from 16 scalp electrodes and recordings are digitized for off-line processing. Features vectors based on Lep-Ziv complexity and classification with ANN are implemented in Matlab6.5. The comparison between the results of classifying in four states is illustrated and discussed. The classification accuracies achieved are 60% and over. The results show that ANN is an effective approach for discrimination of these three kinds of objects both in baseline and some cognitive states.

Classification of Schizophrenia and Depression by EEG with ANNs*.

The clinical application shows that it is possible to differentiate between patients suffering from schizophrenia, depression and normal healthy persons on the basis of EEG rhythms. This paper describes the application of two artificial neural networks (ANN) approaches, BP ANN and self-organizing competitive ANN for the discrimination of three kinds of subjects (including 10 normal control, 10 schizophrenic patients and 10 depressive patients), with EEG rhythms used as feature vectors. In addition, the comparison between two ANNs is illustrated in this paper. The results show that ANN is an effective approach for discrimination of these three kinds of objects and BP ANN has better comprehensive performance than self-organizing competitive ANN technique in this study. Therefore, the ANN technique could be used as a new tool for computer-aided diagnosis for some psychosis.