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Paper Title:
Estimation of plasma malondialdehyde (MDA), superoxide dismutase (SOD) and catalase levels for the assessment of oxidative stress in patients with alcoholic, non-alcoholic liver disorders and in healthy controls
Background: The liver is the most essential internal organ, and it aids in food digestion, metabolism, toxin clearance, and the elimination of toxic substances from the body. Viruses, excessive alcohol consumption, severe type 2 diabetic mellitus (T2DM), hyperlipidemia, and obesity are among the variables linked to liver damage. Long-term liver damage causes cirrhosis, which can develop to liver failure, which is a life-threatening condition. Objective of the study: oxidative stress markers (MDA) in alcoholic and non-alcoholic liver disorders. Materials and methods: The investigation was conducted on 100 DN subjects of both sex and aged 20 or more and 100 age and sex matched healthy control subjects. MDA, SOD and Catalase of each subject was measured. Results: the present investigation shows that the MDA was elevated significantly and SOD and Catalase level was found to be significantly low in AFLD and NAFLD individuals as compared to controls. Conclusion: This study concluded that the MDA could be better marker for early recognition of AFLD and NAFLD.
Keywords:
MDA, SOD, CAT
Cite Article:
"Estimation of plasma malondialdehyde (MDA), superoxide dismutase (SOD) and catalase levels for the assessment of oxidative stress in patients with alcoholic, non-alcoholic liver disorders and in healthy controls", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.106 - 109, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208018.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator