Shu Wang

Dr. Shu Wang


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 August 2024 in Biomedicine & Pharmacotherapy
Verified
Journal Article
Open access
BFBocheng Fan
Bocheng Fan
QGQihao Guo
Qihao Guo
SWShu Wang
Shu Wang
Alkaloids have remarkable biological and pharmacological properties and have recently garnered extensive attention. Various alkaloids, including commercially available drugs such as berberine, substantially affect ferroptosis. In addition to the three main pathways of ferroptosis, iron metabolism, phospholipid metabolism, and the glutathione peroxidase 4-regulated pathway, novel mechanisms of ferroptosis are continuously being identified. Alkaloids can modulate the progression of various diseases through ferroptosis and exhibit the ability to exert varied effects depending on dosage and tissue type underscores their versatility. Therefore, this review comprehensively summarizes primary targets and the latest advancements of alkaloids in ferroptosis, as well as the dual roles of alkaloids in inhibiting and promoting ferroptosis.

7 November 2024 in Phytomedicine
Verified
Journal Article
Open access
QGQi-Hao Guo
Qi-Hao Guo
LJLing-Yan Jian
Ling-Yan Jian
YHYihan Hu
Yihan Hu
SWShu Wang
Shu Wang
Melanoma, a highly malignant skin tumor, can develop systemic metastases during the early stage. Several studies of melanoma animal models indicate that curcumin, a natural plant extract, inhibits melanoma growth through various mechanisms. To evaluate the relationships among different experimental conditions, curcumin itself, its derivatives, and special formulations, it is necessary to conduct a systematic review and meta-analysis. This meta-analysis aims to evaluate the potential of Curcumin as a drug for inhibiting the growth of melanoma and to determine the optimal dosage range and treatment duration for Curcumin administration. A systematic search of studies published from inception to December 2023 was conducted across six databases (PubMed, Web of Science, Embase, China National Knowledge Infrastructure, Wanfang Data, and VIP). Methodological quality was assessed using SYRCLE's RoB tool. Study heterogeneity was assessed using Cochran's Q test and I2 statistics. Publication bias risk was evaluated using a funnel plot. All analyses were performed using R (version 4.3.3). Additionally, three-dimensional effect analysis and machine learning techniques were utilized to determine the optimal dosage range and treatment duration for Curcumin administration. Forty studies involving 989 animals were included. The results demonstrated that, relative to the control group, administration of Curcumin resulted in a significant reduction in tumor volume. [SMD=-3.44; 95 % CI (-4.25, -2.63); P<0.01; I2 = 79 %] and tumor weight [SMD=-1.93; 95 % CI (-2.41, -1.45); P<0.01; I2 = 75 %]. Additionally, Curcumin demonstrated a significant capacity to decrease the number of lung tumor nodules and microangiogenesis, as well as to extend survival time, in animal models. The results from three-dimensional effect analysis and machine learning emphasize that the optimal dosage range for Curcumin is 25-50 mg/kg, with an intervention duration of 10-20 days. Curcumin can inhibit the growth of melanoma, and the dose-response relationship is not linear. However, further large-scale animal and clinical studies are required to confirm these conclusions.