Investigating the anti-inflammatory effects of icariin: A combined meta-analysis and machine learning study

被引:0
作者
Guo, Xiaochuan [1 ,2 ,3 ,4 ]
Qin, Yanqin [3 ,4 ,5 ]
Feng, Zhenzhen [1 ,3 ,4 ]
Li, Haibo [3 ,4 ]
Yang, Jingfan [3 ,4 ]
Su, Kailin [1 ,2 ,3 ,4 ]
Mao, Ruixiao [1 ,2 ,3 ,4 ]
Li, Jiansheng [1 ,3 ,4 ]
机构
[1] Henan Univ Chinese Med, Dept Resp Dis, Affiliated Hosp 1, Zhengzhou 450000, Henan Province, Peoples R China
[2] Henan Univ Chinese Med, Clin Med Coll 1, Zhengzhou 450046, Henan Province, Peoples R China
[3] Henan Univ Chinese Med, Coconstruct Collaborat Innovat Ctr Chinese Med & R, Zhengzhou 450046, Henan Province, Peoples R China
[4] Henan Univ Chinese Med, Henan Key Lab Chinese Med Resp Dis, Educ Minist PR China, Zhengzhou 450046, Henan Province, Peoples R China
[5] Henan Univ Chinese Med, Acad Chinese Med Sci, Zhengzhou 450046, Henan Province, Peoples R China
基金
中国国家自然科学基金;
关键词
Icariin; Inflammation; Meta-analysis; Machine learning; Core mechanisms; Preclinical evidence; NF-KAPPA-B; FOAM CELL-FORMATION; ISCHEMIA-REPERFUSION INJURY; INFLAMMATORY RESPONSE; CEREBRAL-ISCHEMIA; PPAR-ALPHA; IN-VITRO; INHIBITION; ACTIVATION; PROTECTS;
D O I
10.1016/j.heliyon.2024.e35307
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objective: The objectives of this study were to define the superiority of icariin and its derivatives' anti-inflammatory activities and to create a reference framework for evaluating preclinical evidence. This method combines machine learning and meta-analysis to identify underlying biological pathways. Methods: Data came from PubMed, Embase, Web of Science, and the Cochrane Library. SYRCLE was used to evaluate the risk of bias in a subset of research. Meta-analysis and detailed subgroup analyses, categorized by species, genders, disease type, dosage, and treatment duration, were performed using R and STATA 15.0 software to derive nuanced insights. Employing R software (version 4.2.3) and the tidymodels package, the analysis focused on constructing a model and selecting features, with TNF-alpha as the dependent variable. This approach aims to identify significant predictors of drug efficacy. An in-depth literature facilitated the synthesis of antiinflammatory mechanisms attributed to icariin and its constituent compounds. Results: Following a meticulous search and selection process, 19 studies, involving 370 and 260 animals were included in the meta-analysis and machine-learning assessment, respectively. The findings revealed that icariin and its derivatives markedly reduced inflammation markers, including TNF-alpha and IL-1 beta. Additionally, machine-learning outcomes, with TNF-alpha as the target variable, indicated enhanced anti-inflammatory effects of icariin across respiratory, urological, neurological, and digestive disease types. These effects were more pronounced at doses exceeding 27.52 mg/kg/day and treatment durations beyond 31.22 days. Conclusion: Strong anti-inflammatory effects are exhibited by icariiin and its derivatives, which are especially beneficial in the management of digestive, neurological, pulmonary, and urinary conditions. Effective for periods longer than 31.22 days and at dosages more than 27.52 mg/kg/ day. Subsequent research will involve more targeted animal experiments and safety assessments to obtain more comprehensive preclinical evidence.
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页数:18
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