The American journal of Chinese medicine
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Traditional Chinese medicine (TCM), originated from China, is different from Western medicine in theory and practice. This study aimed to document the longitudinal trends and the patterns by demographical characteristics in the prevalence of TCM among the middle-aged and elderly Chinese population. This study used nationally representative longitudinal survey data from the China Health and Retirement Longitudinal Study (CHARLS), covering approximately 20,000 individuals in each panel survey from 2011 to 2018. ⋯ The TCM users were more likely to be females and city dwellers. The increasing prevalence of TCM use for any purpose among the overall population reflects the increasing influence and potentials of TCM by year. With the expected rising demand in TCM for the following decades in China, more clinical trials on safety and healthcare policy regarding TCM are merited in the future.
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Oxidative stress-induced cellular senescence is now regarded as an important driving mechanism in chronic lung diseases-particularly chronic obstructive pulmonary disease (COPD). 4[Formula: see text],5,7-trihydroxyflavone (Apigenin) is a natural flavonoid product abundantly present in fruits, vegetables, and Chinese medicinal herbs. It has been known that apigenin has anti-oxidant, anti-inflammatory and liver-protecting effects. The efficacy of apigenin for lung aging, however, has not been reported. ⋯ SIRT1 inhibition by SIRT1 siRNA abolished the anti-aging effect of apigenin. In addition, CD38 inhibition by CD38 siRNA or apigenin increased the SIRT1 level and reduced H2O2-induced senescence. Our findings suggest that apigenin is a promising phytochemical for reducing the impact of senescent cells in age-related lung diseases such as COPD.
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Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. ⋯ AI may bring clinical TCM diagnostics closer to western medicine. With the help of AI, more scientific evidence about TCM will be discovered. It can be expected that more unified guidelines for specific TCM syndromes will be issued with the development of AI-assisted TCM therapies in the future.
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Patients with insomnia frequently use acupuncture as an alternative treatment to pharmacotherapy globally. The aim of this paper is to assess the effect of acupuncture on insomnia. Seven medical databases, including MEDLINE, EMBASE, CENTRAL, CNKI, RISS, NDSL, and OASIS, were used to identify studies published through July 09, 2020. ⋯ In the subsequent quantitative meta-analysis of studies comparing acupuncture versus pharmacotherapy, fifteen RCTs demonstrated that acupuncture had a significant effect on patients with insomnia as assessed by the Pittsburgh sleep quality index (PSQI) (RR: -0.74; 95% CI: -1.07 to -0.40; [Formula: see text] ¡0.0001; [Formula: see text] = 89%; [Formula: see text] = 1475). A subgroup analysis showed that there was no significant effect after weeks 1 and 2, but six studies found that acupuncture had a significant effect insomnia at week 3 (RR: -0.97; 95% CI: -1.65 to -0.28; [Formula: see text] = 0.006; [Formula: see text] = 91%; [Formula: see text] = 463) and nine studies demonstrated a significant effect at week 4 (RR: -0.70; 95% CI: -1.15 to -0.25; [Formula: see text] = 0.002; [Formula: see text] = 85%; [Formula: see text] = 594). These results suggest that insomnia patients may experience significant improvement in symptoms after more than three weeks of acupuncture treatment compared to pharmacological treatments.
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Cancer is a disease with a high mortality and disability rate. Cancer consists not only of cancer cells, but also of the surrounding microenvironment and tumor microenvironment (TME) constantly interacting with tumor cells to support tumor development and progression. Over the last decade, accumulating evidence has implicated that microbiota profoundly influences cancer initiation and progression. ⋯ Recently, accumulating studies have attached the importance of traditional Chinese medicine (TCM) to cancer treatments, and the bioactive natural compounds have been considered as potential drug candidates to suppress cancer initiation and development. Interestingly, more recent studies demonstrate that TCM could potentially prevent and suppress early-stage cancer progression through the regulation of gut microbiota. This review is on the purpose of exhausting the significance of gut microbiota in the tumor microenvironment as potential targets of Chinese medicine.