Academic literature on the topic 'She hui sheng huo mei'

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Journal articles on the topic "She hui sheng huo mei"

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Jiang, Yuepeng, Xiaoxuan Zhao, Jie Yu, Qiao Wang, Chengping Wen, and Lin Huang. "Deciphering potential pharmacological mechanism of Sha-Shen-Mai-Dong decoction on primary Sjogren’s syndrome." BMC Complementary Medicine and Therapies 21, no. 1 (2021). http://dx.doi.org/10.1186/s12906-021-03257-7.

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Abstract Background Sha-Shen-Mai-Dong decoction (SSMD) is a classical prescription widely used in primary Sjogren’s Syndrome (pSS) therapy. This study aims to explore the potential pharmacological mechanism of SSMD on pSS. Methods Active components of SSMD were obtained from Traditional Chinese Medicine Integrative Database and Traditional Chinese Medicine Systems Pharmacology databases and targets of SSMD were predicted by Pharmmapper and STITCH database. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were carried out to explore the function characteristics of SSMD. The expression matrix of microarray of pSS was obtained from Gene Expression Omnibus and we obtained 162 differentially expressed genes (DEGs). Protein-protein interaction (PPI) networks were constructed to identify the hub targets. Principal component analysis (PCA) and molecular docking were conducted to further elucidate the possibility of SSMD for pSS. Results SSMD contained a total of 1056 active components, corresponding to 88 targets, among which peripheral myelin protein 2(PMP2), androgen receptor (AR) and glutamic acid decarboxylase 1(GAD1) are associated with multiple active components in SSMD and may be the core targets. Moreover, these targets were closely related to tissue pathological injury in SS, such as lacrimal gland, salivary gland and nervous system injury. GO and KEGG analysis showed that 88 targets enriched in REDOX process, transcriptional regulation and negative regulation of apoptosis process. Besides, SSMD may influence the cell proliferation, gene transcription through regulating Ras and cAMP-related signaling pathways. In addition, SSMD may show effects on immune regulation, such as macrophage differentiation, Toll-like receptor 4 signaling pathway and T-helper 1 in SS. Moreover, PPI network suggested that FN1, MMP-9 may be the hub targets in SSMD. Result of PCA and molecular docking analysis further determined the feasibility of SSMD in treating pSS. Conclusion SSMD can regulate multiple biological processes by virtue of its multiple active components, thus showing prominent advantage in the treatment of pSS. The discovery of active ingredients and targets in SSMD provides valuable resources for drug research and development for pSS.
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Wang, Chen-Yu, Tang-Chuan Wang, Wen-Miin Liang, et al. "Effect of Chinese Herbal Medicine Therapy on Overall and Cancer Related Mortality in Patients With Advanced Nasopharyngeal Carcinoma in Taiwan." Frontiers in Pharmacology 11 (January 29, 2021). http://dx.doi.org/10.3389/fphar.2020.607413.

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Nasopharyngeal carcinoma (NPC) is a head and neck cancer involving epithelial squamous-cell carcinoma of the nasopharynx that mainly occurs in individuals from East and Southeast Asia. We investigated whether Chinese herbal medicine (CHM) as a complementary therapy offers benefits to these patients. We retrospectively evaluated the Taiwan Cancer Registry (Long Form) database for patients with advanced NPC, using or not using CHM, between 2007–2013. Cox proportional-hazard model and Kaplan‒Meier survival analyses were applied for patient survival. CHM-users showed a lower overall and cancer-related mortality risk than non-users. For advanced NPC patients, the overall mortality risk was 0.799-fold for CHM-users, after controlling for age, gender, and Charlson comorbidity index (CCI) score (Cancer stages 3 + 4: adjusted hazard ratio [aHR]: 0.799, 95% confidence interval [CI]: 0.676–0.943, p = 0.008). CHM-users also showed a lower cancer-related mortality risk than non-users (aHR: 0.71, 95% CI: 0.53–0.96, p = 0.0273). Association rule analysis showed that CHM pairs were Ban-Zhi-Lian (BZL; Scutellaria barbata D.Don) and For single herbs, Bai-Hua-She-She-Cao (Herba Hedyotis Diffusae; Scleromitrion diffusum (Willd.) R.J.Wang (syn. Hedyotis diffusa Willd.) and Mai-Men-Dong (MMD; Ophiopogon japonicus (Thunb.) Ker Gawl.), and Gan-Lu-Yin (GLY) and BHSSC. Network analysis revealed that BHSSC was the core CHM, and BZL, GLY, and Xin-Yi-Qing-Fei-Tang (XYQFT) were important CHMs in cluster 1. In cluster 2, ShengDH, MMD, Xuan-Shen (XS; Scrophularia ningpoensis Hensl.), and Gua-Lou-Gen (GLG; Trichosanthes kirilowii Maxim.) were important CHMs. Thus, as a complementary therapy, CHM, and particularly the 8 CHMs identified, are important for the treatment of advanced NPC patients.
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Dissertations / Theses on the topic "She hui sheng huo mei"

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Chen, Jiang. "Ming dai zhong hou qi de jiang nan she hui yu she hui sheng huo /." Shanghai : Shanghai she hui ke xue yuan chu ban she, 2006. http://www.loc.gov/catdir/toc/fy10pdf02/2008488426.html.

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CHEN,Te-hsin and 陳德馨. "A Study of Mei-Hua Hsi-Shen P''u." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/35201203067757402465.

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Books on the topic "She hui sheng huo mei"

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bin, Lü shang. Xiu xian mei xue. Zhong nan ta xue chu ban she, 2001.

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xiong, Xu. Hua shuo mei guo. Zhong guo guo ji guang bo chu ban she, 2003.

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Ying Han Ying Mei she hui sheng huo ci dian. Fu dan da xue chu ban she, 1994.

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Zuo, Lei, (fu nü xue ying yu), ed. Qi zhi nü ren: Ba li mei tan bi ji. Shan xi shi fan da xue chu ban she, 2000.

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Nu^ ren ru ci geng mei li. Zhong guo shi dai jing ji chu ban she, 2006.

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Lü Mei sheng huo xu zhi: Sheng huo, jing ji, she hui zui xin bao dao. Wu ling chu ban you xian gong si, 1990.

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Li, Hanyang. Mei li zhi shu: Zuo ge bai fen bai qi zhi nü ren. Zhong guo jing ji chu ban she, 2004.

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si, Wo te, and Yang jun feng. Nan xing ban liang shou ce. Liao ning jiao yu chu ban she, 2002.

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Frankie), Liao (Liao, Liao Cindy, and Liao Frankie, eds. A mu si te dan.wo de li xiang sheng huo: I Amsterdam. Yuan dian, 2010.

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yan, Yu xiao. Su zao xing gan nü ren. Zhong yuan nong min chu ban she, 2008.

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