Letteratura scientifica selezionata sul tema "Zi ben guan li"

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Articoli di riviste sul tema "Zi ben guan li"

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Jessi Suryani Setiawan, Anindini Winda Amalia e Lim Lia Harumiaty. "Pengaruh Kombinasi Akupunktur dan Formula Bai Zi Yang Xin Tang Pada Klien Insomnia Sindrom Disharmoni Jantung dan Ginjal di Yayasan Sosial Dharma Warga Surabaya". JURNAL FISIOTERAPI DAN ILMU KESEHATAN SISTHANA 5, n. 2 (26 luglio 2023): 37–44. http://dx.doi.org/10.55606/jufdikes.v5i2.429.

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Abstract (sommario):
Insomnia is one of the most common diseases in modern society, with its characteristics being difficulty sleeping at night or failure to maintain effective sleep after sleep. Conventional treatments for existing insomnia have undesirable effects when used for a long time. Treatment with acupuncture and herbs can be used as an alternative and complementary therapy in the treatment of insomnia. Research purposes to determine the effect of a combination of acupuncture and herbal therapy Bai Zi Yang Xin Tang on client insomnia with heart and kidney disharmony syndrome at Yayasan Dharma Warga Surabaya. Research methods is one group pre-test and post-test design. Respondents in the study amounted to 14 people received acupuncture therapy at point (Feng Chi, An Mian, Bai Hui, Si Shen Cong, Shen Men, Nei Guan, Zu San Li, San Yin Jiao, Tai Xi, Tai Chong) and consumed Bai Zi Yang Xin Tang. The average length of sleep for respondents before therapy was 3.75 ± 0.47 hours and after therapy 6.0 ± 0.65 hours (p < 0.05). The combination of acupuncture and Bai Zi Yang Xin Tang for insomnia with heart and kidney disharmony syndrome can increase the patient's sleep duration after therapy.
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Lawrence Cheung, Chun Chau, Xinru Lim, Denise Goh, Tracy Zhijun Tien, Jeffrey Chun Tatt Lim, Thuan Tong Tan, Shirin Kalimuddin et al. "475 Incidental finding of colorectal cancer in a COVID-19 patient, followed by deep profiling of SARS-CoV-2-associated immune landscape and tumour microenvironment". Journal for ImmunoTherapy of Cancer 8, Suppl 3 (novembre 2020): A506—A507. http://dx.doi.org/10.1136/jitc-2020-sitc2020.0475.

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BackgroundReports suggest that cancer patients may be more vulnerable to COVID-19, with increased disease severity and higher mortality rate.1–3 Although this is likely multifactorial, the exact pathogenesis has not been clearly elucidated. Studies have shown increased ACE2 expression in tumours as compared to normal tissues,4 5 thereby providing increased viral binding. Moreover, other mechanisms of cancer immunotherapy including treatment- and disease-related immunosuppression and functional exhaustion have been reported in patients with concomitant cancer and COVID-19; contributing to greater COVID-19 disease severity.6–8 There is still much to be revealed about the interplay between COVID-19, cancer and the immune system. These insights will give us greater understanding of the immunopathological processes underlying COVID-19 in cancer patients and their clinical relevance.MethodsA 45-year-old South Asian male diagnosed with COVID-19, with incidental discovery of stage II T3N0 caecal adenocarcinoma was consented for our study. The patient had experienced mild symptoms throughout the course of the disease, and underwent laparoscopic right hemicolectomy 10 days after recovery from COVID-19. His blood, lymph nodes, normal tissue and tumour samples were obtained for further analysis (figure 1). Multiplex immunohistochemistry was performed to understand SARS-CoV-2-associated tumour immune microenvironment. Moreover, to simulate ex vivo SARS-CoV-2 infection, dissociated cells from blood, lymph nodes, and tissue samples were stimulated with SARS-CoV-2 peptides or control for 16 hours. This was followed by 25-colour flow cytometry analysis for immune markers and cytokines. We then compared unstimulated with stimulated cells to study SARS-CoV-2-elicited immune response.ResultsMultiplex immunohistochemistry demonstrated upregulated expression of ACE2 in the tumour as compared to adjacent normal tissue, whilst SARS-CoV-2 was detected only in adjacent normal tissue but not within the tumour (figure 2). We also observed SARS-CoV-2 in other organs such as appendix and lymph nodes; and the presence of tertiary lymphoid structure, abundant T cells and NK cells within the proximity of the tumour (figure 2). Additionally, upon stimulation with SARS-CoV-2 peptides, we successfully elicited SARS-CoV-2-specific CD4+ T cells expressing immune markers such as granzyme B, TNF-α and IFN-γ (figure 3). Deep profiling of the samples is on-going with single-cell sequencing and digital spatial profiling.Abstract 475 Figure 1Study design, methodology and brief summary of the findingsBlood, lymph nodes, normal tissue and tumour samples were obtained from a 45-year-old South Asian male who was diagnosed with COVID-19 and caecal adenocarcinoma. Lymph nodes, normal tissue and tumour samples were analysed with multiplex immunohistochemistry, while dissociated cells from blood, lymph nodes and tissue samples were subjected to SARS-CoV-2 peptide stimulation and analysed with 25-colour flow cytometry. Multiplex immunohistochemistry detected SARS-CoV-2 proteins only in adjacent normal tissue but not within the tumour. Exhausted tumour-infiltrating T cells were also detected. Flow cytometry revealed CD4+ T cells expressing IFN-γ and granzyme BAbstract 475 Figure 2Multiplex immunohistochemistry of tissue samples(A) Multiplex immunohistochemistry of normal colon tissue. From left to right: SARS-CoV-2 nucleocapsid (green), CD3 (red), CD56 (cyan) and FOXP3 (white), representative of SARS-CoV-2 virus, T cells, NK cells and regulatory T cells respectively. (B) Multiplex immunohistochemistry of tertiary lymphoid structure. First row from left to right: PD-L1 (green), CD3 (orange), CD68 (red) and DAPI (blue). Second row from left to right: CD8 (magenta), cytokeratin (white), FOXP3 (cyan) and compositeAbstract 475 Figure 3Cytokine profiling with 25-colour flow cytometry panelBlood cells were incubated with SARS-CoV-2 peptides or control for 16 hours. This was followed by 25-colour flow cytometry panel with immune markers and cytokines. Both gated populations were observed to be increased after stimulation with SARS-CoV-2 peptides, suggesting that they might be SARS-CoV-2-specific T cells. Further gating on the populations showed that they were CD4+ T cells expressing granzyme B, with high (population 2) or moderate (population 1) TNF-α and IFN-γ expressionsConclusionsWe believe this is the first report of immune profiling of in situ tumour microenvironment in a cancer patient with COVID-19. Our findings showed the presence of viral proteins in several tissues despite negative swab test result, and the ability to elicit ex vivo SARS-CoV-2-specific T cell responses through peptide stimulation experiments.Ethics ApprovalThis study was approved by Centralised Institutional Review Board of SingHealth; approval number 2019/2653.ConsentWritten informed consent was obtained from the patient for publication of this abstract and any accompanying images. A copy of the written consent is available for review by the Editor of this journal.ReferencesLiang W, Guan W, Chen R, Wang W, Li J, Xu K, et al. Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China. The Lancet Oncology 2020;21(3):335–7.Cao Y, Liu X, Xiong L, Cai K. Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2: A systematic review and meta-analysis. Journal of medical virology. 2020.Dai M, Liu D, Liu M, Zhou F, Li G, Chen Z, et al. Patients with cancer appear more vulnerable to SARS-COV-2: a multicenter study during the COVID-19 outbreak. Cancer discovery 2020;10(6):783–91.Bao R, Hernandez K, Huang L, Luke JJ. ACE2 and TMPRSS2 expression by clinical, HLA, immune, and microbial correlates across 34 human cancers and matched normal tissues: implications for SARS-CoV-2 COVID-19. J Immunother Cancer 2020;8(2).Winkler T, Ben-David U. Elevated expression of ACE2 in tumor-adjacent normal tissues of cancer patients. International Journal of Cancer 2020.Zheng M, Gao Y, Wang G, Song G, Liu S, Sun D, et al. Functional exhaustion of antiviral lymphocytes in COVID-19 patients. Cellular & Molecular Immunology 2020;17(5):533–5.Diao B, Wang C, Tan Y, Chen X, Liu Y, Ning L, et al. Reduction and functional exhaustion of T cells in patients with coronavirus disease 2019 (COVID-19). Frontiers in Immunology 2020;11:827.McLane LM, Abdel-Hakeem MS, Wherry EJ. CD8 T cell exhaustion during chronic viral infection and cancer. Annual review of immunology 2019;37:457–95.
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"Yi da li yu ge ju jiao ben zi dui zi jing zhun jie xi xi lie cong shu ed. by Stella Chen Guo and Carlo Alberto Petruzzi, and: "Ai de gan chun" zi dui zi jing zhun jie xi by Felice Romani, and: "Cha hua nü" zi dui zi jing zhun jie xi by Francesco Maria Piave, and: "Nong chen" zi dui zi jing zhun jie xi by F. M. Piave, and: "Tuo si ka" zi dui zi jing zhun jie xi by Giuseppe Giacosa and Luigi Illica, and: "Yi shu jia de sheng ya" zi dui zi jing zhun jie xi by G. Giacosa and L. Illica, and: "Xiang cun qi shi—Cho jue" zi dui zi jing zhun jie xi by Giovanni Targioni-Tozzetti, Guido Menasci, and Ruggiero Leoncavallo (review)". Notes 80, n. 1 (settembre 2023): 145–49. http://dx.doi.org/10.1353/not.2023.a905328.

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Tesi sul tema "Zi ben guan li"

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Lu, Yongsi. "Cong "xiao ben guan li tiao li" zheng lun kan quan li hua yu /". click here to view the abstract and table of contents, 2005. http://net3.hkbu.edu.hk/~libres/cgi-bin/thesisab.pl?pdf=b19816479a.pdf.

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Li, Yongyi. "Dui "San yan" zhong fu nü zi sha de lun li xue fen xi = An analysis of the ethics of women suicide recorded in San Yan /". click here to view the abstract and table of contents, 2001. http://net3.hkbu.edu.hk/~libres/cgi-bin/thesisab.pl?pdf=b17088525a.pdf.

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Libri sul tema "Zi ben guan li"

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yu, Bai. Mei li de zi ben. Chang chun: Shi dai wen yi chu ban she, 2002.

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Zhong guo zhu ce kuai ji shi xie hui. Cai wu cheng ben guan li. Bei jing: Zhong guo cai zheng jing ji chu ban she, 2013.

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Wang, Shenghui. Wo de di yi ben HR ru men shu. Beijing: Ren min you dian chu ban she, 2013.

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Zhu ce hui ji shi quan guo tong yi kao shi jing bian jiao cai bian wei hui. Cai wu cheng ben guan li. Beijing: Qi ye guan li chu ban she, 2016.

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wen, Chen. Wu liu cheng ben guan li. Bei jing: Bei jing li gong ta xue chu ban she, 2009.

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Li, Wenlong. Jia ting tou zi li cai da quan. Beijing: Zhong guo hua qiao chu ban she, 2016.

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Liu, Wenzhong. Zhi shi zi ben xu ni ban gong: KNOWLEDGE CAPITAL FICTITIOUS BUSINESS. Beijing: Min zhu yu jian she chu ban she, 2000.

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Baohua, Cui. MBA ren li zi yuan zheng he jing hua du ben. Hefei: An hui ren min chu ban she, 2002.

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qian, Zhu xiu. Wai qi cai wu ying yu yi ben tong. Bei jing: Ji xie gong ye chu ban she, 2011.

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10

yong, Lin. Zi ben yun ying li lun yu shi wu. Bei jing: Ke xue chu ban she, 2011.

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