Sheikh Zahid Nabi, Sharma Vikas, Raina Shilpa, Bakshi Prashant, Yousuf Rizwan, Zari Ali, Zari Talal A, Hakeem Khalid Rehman
Division of Fruit Sciences, Sher-e-Kashmir University of Agricultural Sciences and Technology, Jammu, 180009, J&K, India.
Division of Biochemistry, Sher-e-Kashmir University of Agricultural Sciences and Technology, Jammu, 180009, J&K, India.
Heliyon. 2024 Sep 28;10(19):e38673. doi: 10.1016/j.heliyon.2024.e38673. eCollection 2024 Oct 15.
Plant-based natural compounds are widely used to treat various ailments owing to their readily availability and minimal adverse effects. This study aimed to perform qualitative and quantitative biochemical profiling and assess the in vitro anti-diabetic, anti-Alzheimer, and anti-cancer activities of various apricot () cultivars. High-performance liquid chromatography (HPLC) was utilized to determine the concentrations of bioactive compounds across 10 distinct apricot cultivars. Initial phytochemical screening revealed a significant content of secondary metabolites. Subsequently, methanolic extracts from these cultivars were evaluated for their therapeutic potential against several human cancer cell lines, including prostate cancer (PC-3), lung cancer (A-549), breast cancer (MCF-7), cervical cancer (HELA), and kidney cancer (HEK). Notably, the breast cancer cell line MCF-7 showed a pronounced inhibition rate post-treatment with the apricot extracts. Correlation analysis exhibited phenols are highly correlated with flavonoids (r = 0.92), DPPH (r = 0.95), and alpha-amylase (%) inhibition (r = 0.96), and showed a significant correlation with other parameters. Principal Component Analysis (PCA) revealed that PC1 explained 43.31 % of the variance, while PC2 explained 12.88 %, together explaining 80.033 % of the total variance. PC1 was identified as the dominant axis, indicating the primary pattern of variation among the variables. Hierarchical Cluster Analysis (HCA) divided the cultivars into 2 main clusters, with cluster 2 further subdivided into various sub-clusters and sub-sub-clusters. This analysis highlighted distinct genetic similarities and differences among the apricot cultivars. Among the tested cultivars, 'Irani' and 'Tilton' were found to contain the highest levels of bioactive constituents. This research marks the first comprehensive examination of the impacts of these two apricot cultivars. The findings from this study provide a robust scientific foundation for the future isolation and purification of therapeutic compounds, potentially leading to their application in pharmaceuticals or dietary supplements. This research contributes significantly to the understanding of the pharmacological properties of apricot cultivars and establishes a basis for further investigation into their clinical benefits.
基于植物的天然化合物因其易于获取且副作用最小而被广泛用于治疗各种疾病。本研究旨在对不同杏()品种进行定性和定量生化分析,并评估其体外抗糖尿病、抗阿尔茨海默病和抗癌活性。利用高效液相色谱(HPLC)测定10个不同杏品种中生物活性化合物的浓度。初步植物化学筛选显示次生代谢物含量显著。随后,对这些品种的甲醇提取物针对几种人类癌细胞系的治疗潜力进行了评估,包括前列腺癌(PC-3)、肺癌(A-549)、乳腺癌(MCF-7)、宫颈癌(HELA)和肾癌(HEK)。值得注意的是,乳腺癌细胞系MCF-7在用杏提取物处理后显示出显著的抑制率。相关性分析表明,酚类与黄酮类(r = 0.92)、DPPH(r = 0.95)和α-淀粉酶(%)抑制(r = 0.96)高度相关,并且与其他参数显示出显著相关性。主成分分析(PCA)表明,PC1解释了43.31%的方差,而PC2解释了12.88%,两者共同解释了总方差的80.033%。PC1被确定为主轴,表明变量之间的主要变化模式。层次聚类分析(HCA)将品种分为2个主要聚类,聚类2进一步细分为各种子聚类和子子聚类。该分析突出了杏品种之间明显的遗传相似性和差异。在测试的品种中,发现“Irani”和“Tilton”含有最高水平的生物活性成分。本研究标志着对这两个杏品种影响的首次全面考察。本研究的结果为未来治疗性化合物的分离和纯化提供了坚实的科学基础,有可能导致其在药物或膳食补充剂中的应用。本研究对理解杏品种的药理特性做出了重大贡献,并为进一步研究其临床益处奠定了基础。