[Study on effective substances of tea for chemoprevention of lung cancer based on principal component analysis]

Zhong Yao Cai. 2013 Jun;36(6):948-52.
[Article in Chinese]

Abstract

Objective: To study the effective substances of tea for chemoprevention of lung cancer based on Principal Component Analysis (PCA).

Methods: UPLC was used to determine the content of each component in tea, MTT was used to analyze the survival of CSE-induced NHBE cells. DTNB and the colorimetric assay were used to detect the rate of GSH/GSSG, PCA was used to calculate the correlation coefficient matrix, eigen values and variance of contribution ratio to chemoprevention of lung cancer.

Results: Longjing (L) was the most effective one to protect NHBE cells from damaging, and the IC50 of L for prevention of NHBE cells was 0.2559 mg/mL and could make the GSH/GSSG ratio recovery ranging from 0.142 to 0.858 in a dose-dependent manner. The contribution of GCG prevention of lung cancer was 79.602% and that of GA was 11.037% by PCA.

Conclusion: Different kinds of tea have different protective effect on NHBE cells. GCGC and GA are the main active ingredients in tea for chemoprevention of lung cancer by PCA.

Publication types

  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anticarcinogenic Agents / chemistry
  • Anticarcinogenic Agents / pharmacology*
  • Antineoplastic Agents, Phytogenic / chemistry
  • Antineoplastic Agents, Phytogenic / pharmacology*
  • Bronchi / cytology
  • Catechin / pharmacology
  • Cell Survival / drug effects
  • Cells, Cultured
  • Dose-Response Relationship, Drug
  • Gallic Acid / pharmacology
  • Humans
  • Lung Neoplasms / prevention & control*
  • Plant Extracts / chemistry
  • Plant Extracts / pharmacology*
  • Principal Component Analysis
  • Smoke / adverse effects
  • Smoking / adverse effects
  • Tea / chemistry*
  • Tea / classification

Substances

  • Anticarcinogenic Agents
  • Antineoplastic Agents, Phytogenic
  • Plant Extracts
  • Smoke
  • Tea
  • Gallic Acid
  • Catechin