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Background: The complexity of Chinese medicine treatment for Alzheimer's disease (AD) utilizing a multi-herb therapy makes the evidence in current studies insufficient. Herb pairs are the most fundamental form of multi-herb formulae. Among the Chinese herbal formulas for AD treatment, Polygala tenuifolia (PT) and Acorus tatarinowii (AT) appeared as the most commonly used herbal pairs in combination.* Objective: The aim of this study is to evaluate the clinical efficacy and safety of the combination of PT and AT in the treatment of AD. Methods: We systematically searched and screened randomized controlled trials of pairing PT and AT for the treatment of AD patients in eight databases with a search deadline of June 26, 2023. Authors, year of publication, title, and basic information such as subject characteristics (age, sex, and race), course of disease, control interventions, dose, and treatment duration were extracted from the screened studies. Primary outcomes assessed included mini-mental state examination (MMSE), activities of daily living (ADL), and AD assessment scalecognitive subscale (ADAS-cog), while secondary outcomes included efficiency and adverse events. The quality of the included studies was assessed using the Cochrane risk of bias tool. The mean difference with 95% confidence intervals (MD [95% CI]) and risk ratio (RR) was selected as the effect size, and the data were analyzed and evaluated using RevMan 5.4 and Stata 16. Results: A total of sixteen eligible and relevant studies involving 1103 AD participants were included. The combination of PT and AT plus conventional drugswas superior to single conventional drugs in MMSE [MD = 2.57, 95%CI: (1.44, 3.69); p < 0.00001; I2 = 86%], ADL [MD = -3.19, 95%CI: (-4.29, -2.09); p < 0.00001; I2 = 0%], and ADAS-cog scores [MD =-2.09, 95%CI: (-3.07, -1.10); p < 0.0001; I2 =0%]. The combination of PT and AT plus conventional drugs had a significantly more favorable benefit in clinical effectiveness [RR = 1.27, 95%CI: (1.12, 1.44); p=0.0002; I2 = 0%]. Adverse events were not increased with the combination of PT and AT plus conventional drugs compared to conventional drugs [RR = 0.65, 95%CI: (0.35, 1.19); p = 0.16; I2 = 0%]. The experimental group treated with the combination of PT and AT alone for AD was comparable in MMSE, ADL, and ADAS-cog scores compared with the control group treated with single conventional drugs. Conclusion: Compared to single conventional drugs, the combination of PT and AT may be used as an alternative therapy to improve global cognition and functioning in AD, and the combination of PT and AT as adjunctive therapy appears to produce a better therapeutic response to AD in terms of efficacy without increasing the risk of adverse events. However, the very low to low quality of available evidence limits confidence in the findings. [ABSTRACT FROM AUTHOR]

Traditional Chinese medicine (TCM) has been practiced for thousands of years for treating human diseases. In comparison to modern medicine, one of the advantages of TCM is the principle of herb compatibility, known as TCM formulae. A TCM formula usually consists of multiple herbs to achieve the maximum treatment effects, where their interactions are believed to elicit the therapeutic effects. Despite being a fundamental component of TCM, the rationale of combining specific herb combinations remains unclear. In this study, we proposed a network-based method to quantify the interactions in herb pairs. We constructed a protein–protein interaction network for a given herb pair by retrieving the associated ingredients and protein targets, and determined multiple network-based distances including the closest, shortest, center, kernel, and separation, both at the ingredient and at the target levels. We found that the frequently used herb pairs tend to have shorter distances compared to random herb pairs, suggesting that a therapeutic herb pair is more likely to affect neighboring proteins in the human interactome. Furthermore, we found that the center distance determined at the ingredient level improves the discrimination of top-frequent herb pairs from random herb pairs, suggesting the rationale of considering the topologically important ingredients for inferring the mechanisms of action of TCM. Taken together, we have provided a network pharmacology framework to quantify the degree of herb interactions, which shall help explore the space of herb combinations more effectively to identify the synergistic compound interactions based on network topology. [ABSTRACT FROM AUTHOR]

Ethnopharmacological relevance Modified Simiaowan (MSW) is a traditional Chinese medicine (TCM) formula and is widely used as a clinically medication formula for its efficiency in treating gouty diseases.To predict the active ingredients in MSW and uncover the rationality of herb combinations of MSW. Materials and methods Three drug-target networks including the “candidate ingredient-target network” (cI-cT) that links the candidate ingredients and targets, the “core ingredient-target-pathway network” connecting core potential ingredients and targets through related pathways, and the “rationality of herb combinations of MSW network”, which was derived from the cI-cT network, were developed to dissect the active ingredients in MSW and relationship between ingredients in herb combinations and their targets for gouty diseases. On the other hand, herbal ingredients comparisons were also conducted based on six physicochemical properties to investigate whether the herbs in MSW are similar in chemicals. Moreover, HUVEC viability and expression levels of ICAM-1 induced by monosodium urate (MSU) crystals were assessed to determine the activities of potential ingredients in MSW. Results Predicted by the core ingredient-target-pathway network, we collected 30 core ingredients in MSW and 25 inflammatory cytokines and uric acid synthetase or transporters, which are effective for gouty treatment through some related pathways. Experimental results also confirmed that those core ingredients could significantly increase HUVEC viability and attenuate the expression of ICAM-1, which supported the effectiveness of MSW in treating gouty diseases. Moreover, heat-clearing and dampness-eliminating herbs in MSW have similar physicochemical properties, which stimulate all the inflammatory and uric acid-lowing targets respectively, while the core drug and basic prescription in MSW stimulate the major and almost all the core targets, respectively. Conclusion Our work successfully predicts the active ingredients in MSW and explains the cooperation between these ingredients and corresponding targets through related pathways for gouty diseases, and provides basis for an alternative approach to investigate the rationality of herb combinations of MSW on the network pharmacology level, which might be beneficial to drug development and applications. [ABSTRACT FROM AUTHOR]

Objective: To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine (CM) physicians for the treatment of insomnia. Methods: We collected and analyzed data related to insomnia treatment from the clinics of 7 highly experienced CM physicians in Beijing. The sample included 162 patients and 460 consultations in total. Patient outcomes, such as sleep quality and sleep time per day, were manually collected from the medical records by trained CM clinicians. Three data mining methods, support vector machine (SVM), logistic regression and decision tree, and multifactor dimensionality reduction (MDR), were used to determine and confirm the herbal combinations that resulted in positive outcomes in patients suffering from insomnia. Results: Results show that MDR is the most efficient method to predict the effective herbal combinations. Using the MDR model, we identified several combinations of herbs with 100% positive outcomes, such as stir-fried spine date seed, Szechwan lovage rhizome, and prepared thinleaf milkwort root; white peony root, golden thread, and stir-fried spine date seed; and Asiatic cornelian cherry fruit with fresh rehmannia. Conclusions: Results indicate that herbal combinations are effective treatments for patients with insomnia compared with individual herbs. It is also shown that MDR is a potent data mining method to identify the herbal combination with high rates of positive outcome. [ABSTRACT FROM AUTHOR]