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Cited by 517Antioxidant Activity and Oxidative StressAdvanced Glycation End Products researchNitric Oxide and Endothelin Effects

Markers of Oxidative Stress during Diabetes Mellitus

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Tiwari, Brahm Kumar, Pandey, Kanti Bhooshan, Abidi, A. B., Rizvi, Syed Ibrahim·2013·Journal of Biomarkers
DOI 10.1155/2013/378790PMC PMC4437365
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Abstract

The prevalence of diabetes mellitus is rising all over the world. Uncontrolled state of hyperglycemia due to defects in insulin secretion/action leads to a variety of complications including peripheral vascular diseases, nephropathy, neuropathy, retinopathy, morbidity, and/or mortality. Large body of evidence suggests major role of reactive oxygen species/oxidative stress in development and progression of diabetic complications. In the present paper, we have discussed the recent researches on the biomarkers of oxidative stress during type 2 diabetes mellitus.

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  • Lipid peroxidation markers may serve as mechanistically plausible candidate predictors for cardiovascular complications in diabetes.

    “This supports the idea that lipid peroxidation markers may serve as mechanistically plausible candidate predictors; however, the present evidence base remains heterogeneous in marker selection, assay platform, and standardization, and direct comparative evidence against standard clinic-based models is still limited (20–22).”

    From AI-driven cardiovascular risk prediction in patients with diabetes: bridging algorithmic innovation to equitable clinical application (2026) · cites this paper as [21]

    Section 4.1 (page unavailable) identifies MDA as a lipid-peroxidation biomarker and links lipid peroxidation in diabetes to vascular complications, including atherosclerosis. This supports the proposed mechanistic plausibility, but the paper does not establish that these markers predict future cardiovascular complications; the predictor component remains an inference. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

  • Integrating mechanistic biomarkers such as those related to lipid peroxidation holds potential to improve biological relevance and possibly predictive performance.

    “Moreover, integrating mechanistic biomarkers—such as those related to lipid peroxidation—holds potential to improve biological relevance and possibly predictive performance (18–22).”

    From AI-driven cardiovascular risk prediction in patients with diabetes: bridging algorithmic innovation to equitable clinical application (2026) · cites this paper as [21]

    Section 4.1, “Lipid Peroxidation” (page unavailable), identifies malondialdehyde as a biomarker of lipid damage and oxidative stress, supporting the biological relevance of the example. The paper does not assess integrating such biomarkers or suggest that doing so could improve predictive performance. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

  • Oxidative stress and lipid peroxidation are biologically linked to endothelial dysfunction and vascular injury in diabetes.

    “Among candidate pathways, oxidative stress and lipid peroxidation deserve attention because they are biologically linked to endothelial dysfunction and vascular injury in diabetes; however, this does not yet justify routine inclusion of such biomarkers in all machine learning models (18–21).”

    From AI-driven cardiovascular risk prediction in patients with diabetes: bridging algorithmic innovation to equitable clinical application (2026) · cites this paper as [21]

  • Oxidized lipid products and related oxidative stress markers may reflect vascular injury, inflammatory activity, and cardiometabolic dysfunction.

    “Studies have shown that oxidized lipid products and related oxidative stress markers may reflect vascular injury, inflammatory activity, and cardiometabolic dysfunction (18–22).”

    From AI-driven cardiovascular risk prediction in patients with diabetes: bridging algorithmic innovation to equitable clinical application (2026) · cites this paper as [21]

  • Oxidative stress plays a central role in the shared pathophysiology of diabetes and cardiovascular disease, with lipid peroxidation representing one of its major downstream consequences.

    “Oxidative stress plays a central role in the shared pathophysiology of diabetes and cardiovascular disease, with lipid peroxidation representing one of its major downstream consequences.”

    From AI-driven cardiovascular risk prediction in patients with diabetes: bridging algorithmic innovation to equitable clinical application (2026) · cites this paper as [21]

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Cited by

Sorted by citations

Authors
Tiwari, B. K., Pandey, K. B., Abidi, A. B., & Rizvi, S. I.
Affiliations
  • Sam Higginbottom Institute of Agriculture (IN)
  • University of Allahabad (IN)
Corresponding author
Rizvi, Syed Ibrahim
ORCID
Venue
Journal of Biomarkers
Publisher
Wiley
Published
2013-12-17
Volume
2013
Pages
1-8
ISSN
  • 2090-7699 (ISSN-L)
  • 2090-8660
DOI
10.1155/2013/378790
PMC
PMC4437365
OpenAlex
W1989844152
Cited by
517
References
4
Citations by year
2026: 18 · 2025: 20 · 2024: 44 · 2023: 42 · 2022: 47 · 2021: 55 · 2020: 60 · 2019: 50 · 2018: 65 · 2017: 40 · 2016: 50 · 2015: 19 · 2014: 4 · 2013: 1 · 2012: 1
FWCI
2.41
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Biomarkers (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Biochemistry › Antioxidant Activity and Oxidative Stress
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
  • Health Sciences › Medicine › Physiology › Nitric Oxide and Endothelin Effects
Keywords
oxidative stress, type 2 diabetes, reactive oxygen species, biomarkers, diabetes complications, hyperglycemia, insulin resistance

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