Status of traditional Chinese medicine healthcare services in nursing homes across China.

This study aimed to elucidate the status of traditional Chinese medicine (TCM) healthcare services provided in nursing homes across China. We investigated 484 nursing homes using self-compiled questionnaires with a convenient sampling method. Chi-squared and Wilcoxon rank-sum tests were used for univariate analysis and binary logistic regression for multi-factor analysis. Of the 443 nursing homes finally included, 215 (48.5%) provided TCM healthcare services. Nursing home leaders majored in integrated TCM and Western medicine, leaders with a better understanding of TCM and government policies, nursing homes charging over 5,000 CNY/month, and those with ≥500 beds were more likely to provide improved TCM healthcare services. Massage, moxibustion, cupping or scraping, plaster therapy, decocting pieces, and acupuncture were the most prevalent and popular TCM services. Lack of professionals, financial investment, and policy support were the most common factors limiting the provision of TCM healthcare services in Chinese nursing homes.

New experimental models for aromatase inhibitor resistance.

Clinical trials have demonstrated the importance of aromatase inhibitor (AI) therapy in the effective treatment of hormone-dependent breast cancers. In contrast to tamoxifen, an antagonist of the estrogen receptor (ER), AIs have shown to be better tolerated along with decreased recurrence rates of the disease. Currently, three third-generation AIs are being used: exemestane, letrozole, and anastrozole. Our laboratory is attempting to understand several aspects of AI functionality. In this paper, we first review recent findings from our structure-function studies of aromatase as well as the molecular characterization of the interaction between AIs and aromatase. Based on these studies, we propose new evidence for the interaction of letrozole and exemestane with aromatase. In addition, we will discuss recent results generated from our AI-resistant cell lines. Our laboratory has generated MCF-7aro cells that are resistant to letrozole, anastrozole, exemestane, and tamoxifen. Basic functional characterization of aromatase and ERalpha in these resistant cell lines has been done and microarray analysis has been employed in order to better understand the mechanism responsible for AI resistance on a genome-wide scale. The results generated so far suggest the presence of at least four types of resistant cell lines. Overall, the information presented in this paper supplements our understanding of AI function, and such information can be valuable for the development of treatment strategies against AI resistant breast cancers.