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用于某些抗氧化酶活性统计评估的ANOM方法

ANOM Approach for Statistical Evaluation of Some Antioxidant Enzyme Activities.

作者信息

Demir Canan, Keskin Sıddık, Şen Fatih

机构信息

Department of Biostatistics Zeve Campus, Faculty of Medicine, Van Yuzuncu Yil University, Van, Turkey.

Department of Biochemistry, Faculty of Arts and Science, Dumlupınar University, Kutahya, Turkey.

出版信息

Front Chem. 2022 May 26;10:894547. doi: 10.3389/fchem.2022.894547. eCollection 2022.

DOI:10.3389/fchem.2022.894547
PMID:35720997
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9204522/
Abstract

Free radicals are chemical molecules that are more reactive and have an unpaired electron. Free radicals formed inside the cell oxidize biomolecules, leading to cell death and tissue damage. Antioxidants are molecules that can stabilize or inactivate free radicals before they damage the cell. In this study; the availability of Malondialdehyde, Superoxide dismutase, Catalase and Reduced glutathione levels as markers for related diseases was evaluated by examining whether and in what range they may vary in some diseases. In study, nine groups consist of prostate cancer, cirrhosis, liver transplantation, chronic kidney damage, acute kidney injury, X-ray exposure, CT exposure, MR exposure and Osteonecrosis. Analysis of means is a method developed to compare group means with the overall mean and presents the results graphically in an easy-to-understand manner without the required for any post hoc test. In addition, related characteristics were categorized as "low and high" and Nonlinear Principal Component Analysis was conducted to visually present their relationship with related disease types in two-dimensional space. The upper and lower decision lines were found 3.123 and 2.794 μmol/L, respectively for Malondialdehyde. Those with cirrhosis, chronic kidney disease, acute kidney disease and tomography exposure were included in the upper and lower decision lines. Those with prostate cancer, osteonecrosis, and X-ray exposure were above the upper decision line and are found higher than the overall mean. Those with lung transplantation and MR exposure appear to be below the lower decision line and lower than the overall mean. The present study provides the first comprehensive assessment of the availability of Malondialdehyde, Superoxide dismutase, Catalase and Reduced glutathione levels as markers for some related diseases. This study has shown that Analysis of means can be used as an alternative graphical procedure for multiple group comparisons with an overall mean in the studies regarding as biochemical characteristics and relating diseases. In addition, Nonlinear Principal Component Analysis can be useful aid for decision marker in some biochemical characteristics and related diseases.

摘要

自由基是化学反应性更强且具有未配对电子的化学分子。细胞内形成的自由基会氧化生物分子,导致细胞死亡和组织损伤。抗氧化剂是在自由基损伤细胞之前能够使其稳定或失活的分子。在本研究中,通过检查丙二醛、超氧化物歧化酶、过氧化氢酶和还原型谷胱甘肽水平在某些疾病中是否以及在何种范围内变化,来评估它们作为相关疾病标志物的可用性。在研究中,分为九组,包括前列腺癌、肝硬化、肝移植、慢性肾损伤、急性肾损伤、X射线照射、CT照射、MR照射和骨坏死。均值分析是一种用于将组均值与总体均值进行比较的方法,并且以易于理解的方式以图形方式呈现结果,无需任何事后检验。此外,将相关特征分为“低和高”两类,并进行非线性主成分分析,以在二维空间中直观呈现它们与相关疾病类型的关系。丙二醛的上下决策线分别为3.123和2.794μmol/L。肝硬化、慢性肾病、急性肾病和接受断层扫描的患者处于上下决策线范围内。前列腺癌、骨坏死和接受X射线照射的患者高于上决策线,且高于总体均值。肺移植和接受MR照射的患者似乎低于下决策线,且低于总体均值。本研究首次全面评估了丙二醛、超氧化物歧化酶、过氧化氢酶和还原型谷胱甘肽水平作为某些相关疾病标志物的可用性。本研究表明,在关于生化特征和相关疾病的研究中,均值分析可作为与总体均值进行多组比较的替代图形程序。此外,非线性主成分分析在某些生化特征和相关疾病的决策标记方面可能是有用的辅助手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/bd2a303bd6be/fchem-10-894547-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/6cc7b3953a56/fchem-10-894547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/9fd8e8c62cb6/fchem-10-894547-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/6b7460c4b6cb/fchem-10-894547-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/a2cf4f496d6f/fchem-10-894547-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/bd2a303bd6be/fchem-10-894547-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/6cc7b3953a56/fchem-10-894547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/9fd8e8c62cb6/fchem-10-894547-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/6b7460c4b6cb/fchem-10-894547-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/a2cf4f496d6f/fchem-10-894547-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e153/9204522/bd2a303bd6be/fchem-10-894547-g005.jpg

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