Inihbition of Protein Glycation with Varying Concentrations of Lysine is a research paper published in The FASEB Journal (2008). On theSindex it has a DataRank of 0.577. It has been cited 4 times, with 4 citing works in its 1-hop citation network.
The causes of the complications of diabetes mellitus have been explored in ongoing studies in our laboratory using an In Vitro system. This system is used to screen compounds for their ability to inhibit the glycation of proteins by sugars. Vascular damage seen in diabetic patients is impacted by such protein sugar interaction. During this study it was found that lysine is an effective inhibitor of glycation. The inhibition of glycation was studied using a spectrophotometric assay for glycoproteins. Studies indicated lysine as most effective as an inhibitor of glycation at a concentration of 100 μg/ml. Lower levels of inhibition were observed when a concentration of 500 μg/ml was used. When the concentration was lowered to 50 μg/ml and 200 μg/ml the results showed the inhibition of glycation was roughly equal at each respective concentration. Further research is being performed to find the actual concentration at which the lysine inhibition no longer performs efficiently. Preliminary results indicated that further investigation is needed to determine the mechanism of inhibition and the possible use of lysine in the treatment of diabetic patients. This research project was funded by the Smith‐Glynn‐Callaway Medical Foundation.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0.336
From 4 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 42% comes from its base citations and 58% from the citation network (4 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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