Pharmacodynamic advantages and characteristics of traditional Chinese medicine in prevention and treatment of ischemic stroke.

Ischemic stroke (IS) is a severe cerebrovascular disease with a high incidence, mortality, and disability rate. The first-line treatment for IS is the use of recombinant tissue plasminogen activator (r-tPA). Regrettably, numerous patients encounter delays in treatment due to the narrow therapeutic window and the associated risk of hemorrhage. Traditional Chinese medicine (TCM) has exhibited distinct advantages in preventing and treating IS. TCM enhances cerebral microcirculation, alleviates neurological disorders, regulates energy metabolism, mitigates inflammation, reduces oxidative stress injuries, and inhibits apoptosis, thereby mitigating brain damage and preventing IS recurrence. This article summarizes the etiology, pathogenesis, therapeutic strategies, and relationship with modern biology of IS from the perspective of TCM, describes the advantages of TCM in the treatment of IS, and further reviews the pharmacodynamic characteristics and advantages of TCM in the acute and recovery phases of IS as well as in post-stroke complications. Additionally, it offers valuable insights and references for the clinical application of TCM in IS prevention and treatment, as well as for the development of novel drugs.

Clinical value-oriented research paradigm about inheritance and innovation development of TCM dominant diseases.

Modern medicine has made remarkable achievements in safeguarding people's life and health, however, it is increasingly found that in the face of complex diseases, selective targeting of single target is often difficult to produce a comprehensive rehabilitation effect, and is prone to induce drug resistance, toxic side effects. Traditional Chinese medicine (TCM) has a long history of clinical application, and its clinical value in the treatment of complex diseases such as cardiovascular and cerebrovascular diseases, digestive diseases, skin diseases, rheumatism and immunity diseases, and adjuvant treatment of tumors has been proven to have obvious advantages. However, its modern research is relatively lagging behind, and in the face of the aging society and the characteristics of the modern disease spectrum, the traditional knowledge-driven research paradigm seems to be stuck in a bottleneck and difficult to make greater breakthroughs. Focusing on the key issues of TCM development in the new era, the clinical value-oriented strategy becomes to be a new research paradigm of TCM inheritance and innovation development, and dominant diseases would be the focus of the TCM inheritance and innovation development, which has been highly valued in recent years by the TCM academia and the relevant national management departments. Based on the clinical value, a series of policies are formulated for the selection and evaluation of the TCM dominant diseases (TCMDD), and exploratory researches about the clinical efficacy characteristics, the modern scientific connotation interpretation were carried out. The clinical value-oriented research paradigm of TCMDD inheritance and innovation development has been initially formed, which is characterized by strong policy support as the guarantee, systematic and standardized selection and evaluation methods as the driving force, scientific and effective research on internal mechanisms as the expansion, and effective clinical guidelines and principles as the transformation, which is of great value in promoting the high-quality development of the industries and undertaking of TCM. In this paper, the main policy support, selection and evaluation methods, therapeutic effect characterization, and modern scientific connotation research strategies of TCMDD in recent years have been comprehensively sorted out, with a view to providing the healthy and benign development of the research on TCMDD.

Deep learning and machine intelligence: New computational modeling techniques for discovery of the combination rules and pharmacodynamic characteristics of Traditional Chinese Medicine.

It has been increasingly accepted that Multi-Ingredient-Based interventions provide advantages over single-target therapy for complex diseases. With the growing development of Traditional Chinese Medicine (TCM) and continually being refined of a holistic view, "multi-target" and "multi-pathway" integration characteristics of which are being accepted. However, its effector substances, efficacy targets, especially the combination rules and mechanisms remain unclear, and more powerful strategies to interpret the synergy are urgently needed. Artificial intelligence (AI) and computer vision lead to a rapidly expanding in many fields, including diagnosis and treatment of TCM. AI technology significantly improves the reliability and accuracy of diagnostics, target screening, and new drug research. While all AI techniques are capable of matching models to biological big data, the specific methods are complex and varied. Retrieves literature by the keywords such as "artificial intelligence", "machine learning", "deep learning", "traditional Chinese medicine" and "Chinese medicine". Search the application of computer algorithms of TCM between 2000 and 2021 in PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Elsevier and Springer. This review concentrates on the application of computational in herb quality evaluation, drug target discovery, optimized compatibility and medical diagnoses of TCM. We describe the characteristics of biological data for which different AI techniques are applicable, and discuss some of the best data mining methods and the problems faced by deep learning and machine learning methods applied to Chinese medicine.

Zi Shen Wan Fang regulates kynurenine metabolism to alleviate diabetes-associated cognitive impairment via activating the skeletal muscle PGC1α-PPARα signaling.

BACKGROUND: Cognitive dysfunction is commonly observed in diabetic patients, yet, the underlying mechanisms are obscure and there are no approved drugs. Skeletal muscle is a key pathological organ in diabetes. Evidence is accumulating that skeletal muscle and brain communication are important for cognitive, and kynurenine (KYN) metabolism is one of the mediators. PURPOSE: This study aims to elucidate the mechanism of diabetes-induced cognitive impairment (DCI) from the perspective of skeletal muscle and brain communication, and to explore the therapeutic effect of Zi Shen Wan Fang (ZSWF, a optimized prescription consists of Anemarrhenae Rhizoma (Anemarrhena asphodeloides Bge.), Phellodendri Chinensis Cortex (Phellodendron chinense Schneid.) and Cistanches Herba (Cistanche deserticola Y.C.Ma)), in order to provide new strategies for the prevention and treatment of DCI and preliminarily explore valuable drugs. METHODS: DCI was induced by intraperitoneal injection of streptozotocin (STZ) combined with a high-fat diet and treated with different dosage ZSWF extract by oral gavage for 8 weeks, once a day. Cognitive and skeletal muscle function was assessed, synaptic plasticity and L-type amino acid transporter (LAT1) was measured. KYN and its metabolites as well as metabolic enzymes in the hippocampus, peripheral blood and skeletal muscle were measured. Peroxisome proliferator-activated receptor-γ co-activator-1α (PGC-1α) and peroxisome proliferator-activated receptor α (PPARα) were measured in skeletal muscle. RESULTS: Compared with healthy mice, DCI mice not only showed decreased cognitive function and abnormal skeletal muscle function, but also showed imbalance of KYN metabolism in brain, circulating blood and skeletal muscle. Fortunately, ZSWF administration for 8 weeks notably attenuated the cognitive function, synaptic plasticity and skeletal muscle function in DCI mice. Besides, ZSWF significantly attenuated KYN metabolism in brain, circulation and skeletal muscle of DCI mice. Furthermore, ZSWF activated PGC1α-PPARα in skeletal muscle of DCI mice. CONCLUSIONS: These results indicate that abnormal PGC1α-PPARα signaling in skeletal muscle mediating KYN metabolism disorder is one of the pathological mechanisms of DCI, and ZSWF can reverse diabetes-induced cognitive impairment via activating skeletal muscle PGC1α-PPARα signaling to maintain KYN metabolism homeostasis.

Screen the Effective Components of Lycopodii herba on Rheumatoid Arthritis with the Aid of Spectrum-Effect Relationship and Uncover its Potential Mechanism.

Lycopodii herba (SJC), a traditional Chinese medicine, has the effect of dispelling wind and eliminating dampness (a therapeutic principle and method of traditional Chinese medicine for rheumatoid arthritis), relaxing tendon and activating collaterals. However, the major effective components and its therapeutic mechanism were unclear. In this study, different SJC samples with slightly different compositions were prepared by extracting with different concentrations of ethanol. Then, the therapeutic effects on rheumatoid arthritis (RA) of different SJC samples were evaluated. Finally, the spectrum-effect relationship between UPLC-Q-TOF/MS fingerprints and the effect of RA was explored to screen the effective components. Western blotting was used to study the potential mechanism. The volume of hind paw and the level of RF, TNF-α, and IL-1ß were lower after administrating with different SJC samples, compared with the model group. Histopathological findings also confirmed that SJC could relieve the symptoms of RA. Combined with identification of the components in plasm from SJC, lycojaponicumin C, des-N-methyl-α-obscurine, 8ß-acetoxy-12ß-hydroxy-lycopodine or 8ß-acetoxy-11α-hydroxy-lycopodine or 8ß-hydroxy-11α-acetoxylycopodine were considered to be the major effective components. The mechanism may be related to AChE/NF-κB signaling pathway. This work provides a general method to screen the potential effective components of herb medicines and would be benefit to understand the mechanism of SJC for the treatment of RA.

Anti-neuroinflammatory effects of Eucommia ulmoides Oliv. In a Parkinson's mouse model through the regulation of p38/JNK-Fosl2 gene expression.

ETHNOPHARMACOLOGICAL RELEVANCE: Eucommia ulmoides Oliv., a Chinese medicinal herb called "Duzhong" from the bark of Eucommia ulmoides Oliv., has been shown to possess significant protective effects in Parkinson's disease (PD). However, the molecular mechanism remains unclear. AIM OF THE STUDY: In this study, we explored the anti-neuroinflammatory mechanisms of Duzhong on the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced PD mouse model to elucidate the traditional medical theories with modern pharmacological methods and to provide a reference for further clarifying its mechanisms of action. MATERIALS AND METHODS: The representative components in Duzhong extract were identified by UPLC-Q-TOF/MS. Male C57BL/6J mice were intraperitoneally injected with MPTP to establish an in vivo PD model. The pole, rotarod, and grip strength tests were performed to evaluate the motor coordination ability of the PD mice. HPLC-ECD was used to detect the striatal levels of dopamine (DA), 3,4- dihydroxyphenylacetic acid (DOPAC) and homovanillic acid (HVA). The expression of tyrosine hydroxylase (TH) was studied by immunohistochemistry (IHC) and Western blot assays. ELISA and Q-PCR were used examined the levels of proinflammatory cytokines in the serum and midbrain, respectively. Whole-transcriptome analysis of the midbrain was performed to explore the therapeutic effect of Duzhong on PD mice, and Q-PCR was then used to validate the differential gene expression changes in the PD mice treated with Duzhong. RESULTS: Ten compounds were identified from Duzhong extract. Duzhong significantly alleviated the behavioral impairments and dopaminergic neuron degeneration of PD mice, and inhibited the expression of proinflammatory cytokines. Whole-transcriptome analysis revealed nine oppositely regulated genes, and the Fosl2 gene was consistent with the trend of observed by RNA-seq. Furthermore, Duzhong downregulated mRNA expression of p38 and JNK, which are key upstream genes of Fosl2. CONCLUSIONS: Duzhong has promising therapeutic potential in PD mice, and its molecular mechanism is mediated by downregulating p38/JNK-Fosl2 gene expression to alleviate neuroinflammation.