ArticleBiochemistry and biophysics reports2025
Oxidative impact on lipoprotein structure: Insights from dynamic light scattering.
Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- High-Density Lipoproteins (HDLs) contribute to limiting acute tissue damage: proof of concept in a model of mercury-induced nephrotoxicity.Lipids in health and disease · 2026Article
- Response by Reddy to Letter Regarding Article, "Plasma Proteomics of the Fontan Circulation Reveal Signatures of Oxidative Stress and Cell Death".Circulation. Heart failure · 2025Article
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease (CVD) is the number one cause of mortality worldwide, with oxidative stress contributing significantly to its pathogenesis. Lipoproteins, key biomolecules in lipid transport, are particularly susceptible to oxidative modifications, which can contribute to atherogenesis. The need for advanced analytical tools to better understand the pathogenesis of cardiovascular disease (CVD) is critical due to its significant impact on public health. Clinicians often rely on indirect calculations of low-density lipoprotein (LDL) as a primary diagnostic indicator, which can oversimplify and overlook the complex changes in lipoprotein structure and function and therefore the complex etiology of CVD. Here it is demonstrated that dynamic light scattering (DLS) is sensitive and effective at measuring variation in lipoprotein size distributions following oxidative damage caused by peroxidation and nitration-two common physiological processes that play dual roles in both normal and pathogenic states. We establish the utility of DLS in detecting subtle variations in lipoprotein size, including potential aggregation and fission events resulting from chemical modifications. Our work highlights the value of DLS in advancing our understanding of the pathogenic mechanisms underlying CVD development, while also providing a foundational framework to study other biological processes and their effects on lipoproteins, ultimately guiding the development of therapies to address these harmful processes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.