1.Uric acid-lowering activity and mechanisms of Chinese medicines with medicinefood homology: a systematic study
QIN Fengyi ; ZHU Yishuo ; ZHAO Lewei ; CHEN Siyu ; QING Zhixing
Digital Chinese Medicine 2024;7(4):405-418
Methods:
Papers on the research of HUA prevention and treatment with medicine-food homology from December 15, 2002 to August 10, 2024 were screened and collected through China National Knowledge Infrastructure (CNKI), PubMed, ScienceDirect, and Google Scholar. Subsequently, the impact of these medications and their extracts, as well as the active compounds on HUA were assessed.
Results:
A total of 148 relevant papers were collected, including 43 kinds of Chinese medicines and 61 active compounds, all of which have anti-HUA activity. Among them, 41 kinds of Chinese medicines could inhibit the activity of xanthine oxidase, thus leading to the inhibition of uric acid production; and 22 kinds of Chinese medicines could facilitate uric acid excretion, while 15 kinds of Chinese medicines could reduce the inflammation levels in the body and promoting renal protection. Notably, polyphenols and flavonoids are the key active components for the uric acid-lowering effects.
Conclusion
This study systematically summarized and analyzed the uric acid-lowering effects and mechanisms of Chinese medicines with medicine-food homology, laying a foundation for their development as HUA agents.
2.Analysis of risk factors and prediction model establishment for early postoperative recurrence in glioma patients
Yishuo ZHU ; Yujie CUI ; Qi LIU ; Jun LI ; Yuechao FAN
Journal of International Oncology 2022;49(2):79-83
Objective:To investigate the related factors of early postoperative recurrence of glioma patients and to establish a prediction model for early recurrence.Methods:A total of 94 patients with pathologically diagnosed glioma treated at Affiliated Hospital of Xuzhou Medical University from August 2014 to July 2016 were retrospectively analyzed. Kaplan-Meier method was used for survival analysis and log-rank test was carried out. Cox proportional risk regression model was used to analyze the clinical factors influencing early postoperative recurrence of glioma patients, and the prediction model of early recurrence was established.Results:The recurrence rates were 26.6% (25/94) and 39.4% (37/94) at 12 months and 24 months after operation, respectively. Univariate analysis showed that age ( χ2=9.59, P=0.008), degree of tumor resection ( χ2=14.26, P<0.001), Karnofsky performance status (KPS) score ( χ2=19.41, P<0.001), radiochemotherapy ( χ2=5.10, P=0.024) and pathological grade ( χ2=5.83, P=0.016) were significantly associated with early postoperative recurrence in glioma patients. Multivariate Cox proportional hazards regression model analysis showed that pathological grade ( OR=2.64, 95% CI: 1.75-3.97, P<0.001), degree of resection ( OR=0.34, 95% CI: 0.19-0.62, P<0.001) and radiochemotherapy ( OR=2.58, 95% CI: 1.34-4.99, P=0.005) were independent factors influencing early postoperative recurrence in glioma patients. The risk function model expression of early recurrence in glioma patients was h(t)=h 0exp(0.970X 1-1.081X 2+ 0.949X 3). X 1, X 2 and X 3 represented pathological grade, resection degree and radiochemotherapy respectively. Conclusion:High grade pathology and the absence of radiochemotherapy are independent predictors of early recurrence in glioma patients, and complete tumor resection can reduce the risk of early recurrence and improve the prognosis. The model of early recurrence prediction can provide some reference for clinical diagnosis and treatment.