首页|苯并(a)芘诱导的肺细胞癌变过程中时间异质性的拉曼光谱分析

苯并(a)芘诱导的肺细胞癌变过程中时间异质性的拉曼光谱分析

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目的 肺癌在生物学特性、基因组变异、增殖速度及化疗响应方面的时间异质性,构成了对有效治疗的显著阻碍。肺癌时间异质性的复杂性,结合其空间异质性,为研究带来了极大挑战。本文将为肺癌研究开辟新的方向,有助于更深入地理解肺癌的时间异质性,从而提升对肺癌的治疗成功率。方法 应用拉曼光谱显微技术作为监测肺癌细胞生物分子组成实时变化的有力工具,揭示了疾病的时间异质性。通过拉曼光谱与多元统计分析的结合,对苯并(a)芘处理后人类肺上皮细胞的生物分子变化进行了细致观察。结果 随时间推移,核酸、脂质、蛋白质及类胡萝卜素含量呈现下降趋势,而葡萄糖浓度上升。这些变化模式暗示,苯并(a)芘可导致遗传物质结构损伤、促进脂质过氧化、干扰蛋白质代谢、降低类胡萝卜素生成,并改变葡萄糖代谢路径。运用拉曼光谱技术,以实时、无侵入性、非破坏性的方式监控肺癌细胞内的生物分子动态,进而阐明其关键分子特性。结论 本项研究深化了对肺癌演进的认识,并为发展个性化治疗策略提供支持,助力提升患者的临床治疗效果。
Raman Spectroscopy Analysis of The Temporal Heterogeneity in Lung Cell Carcinogenesis Induced by Benzo(a)pyrene
Objective Temporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics,genomic mutations,proliferation rates,and chemotherapeutic responses of tumor cells over time,posing a significant barrier to effective treatment.The complexity of this temporal variance,coupled with the spatial diversity of lung cancer,presents formidable challenges for research.This article will pave the way for new avenues in lung cancer research,aiding in a deeper understanding of the temporal heterogeneity of lung cancer,thereby enhancing the cure rate for lung cancer.Methods Raman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale,thus shedding light on the disease's temporal heterogeneity.In our investigation,we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure.Results Our findings indicated a temporal reduction in nucleic acids,lipids,proteins,and carotenoids,coinciding with a rise in glucose concentration.These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material,accelerates lipid peroxidation,disrupts protein metabolism,curtails carotenoid production,and alters glucose metabolic pathways.Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time,non-invasive,and non-destructive manner,facilitating the elucidation of pivotal molecular features.Conclusion This research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches,which may improve the clinical outcomes for patients.

temporal heterogeneitylung cancerRaman spectroscopymultivariate statistical analysisbenzo(a)pyrene exposure

周海涛、姚伟、崔曹哲、周晓彤、梁喜龙、秦成兵、肖连团、武志芳、李思进

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山西医科大学第一医院核医学科,山西医科大学分子影像精准诊疗省部共建协同创新中心,太原 030001

太原市中心医院,中心实验室,太原 030001

山西大学量子光学与光量子器件国家重点实验室,激光光谱研究所,极端光学省部共建协同创新中心,太原 030006

时间异质性 肺癌 拉曼光谱 多元统计分析 苯并(a)芘暴露

国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金

62005150819716556212781762222509U22A6008U22A2091

2024

生物化学与生物物理进展
中国科学院生物物理研究所,中国生物物理学会

生物化学与生物物理进展

CSTPCD北大核心
影响因子:0.476
ISSN:1000-3282
年,卷(期):2024.51(6)