Evidence map›Paper›PMID 39263487›Full record

ArticleCardiovascular diagnosis and therapy2024

Reversal of heavy arterial calcification in a rat model of chronic kidney disease using targeted ethylene diamine tetraacetic acid-loaded albumin nanoparticles.

Fatema Tuj Zohora, Shivani Arora, Alyssa Swiss, Naren Vyavahare

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Article in Cardiovascular diagnosis and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Fatema Tuj ZohoraDepartment of Bioengineering, Clemson University, Clemson, SC, USA.
Shivani AroraDepartment of Bioengineering, Clemson University, Clemson, SC, USA.
Alyssa SwissElastrin Therapeutics Inc., Greenville, SC, USA.
Naren VyavahareDepartment of Bioengineering, Clemson University, Clemson, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elastin degradation and severe calcification in the medial layer of the vessel wall, known as medial arterial calcification (MAC), is typical in the aging population and patients with metabolic disorders, such as diabetes and chronic kidney disease (CKD). We have previously reported that ethylene diamine tetraacetic acid (EDTA) delivery to the site of calcification can be achieved by tagging nanoparticles with an elastin antibody that recognizes explicitly damaged elastin, and such systemic therapy can remove focal calcium deposits from the calcified arteries in CKD rodent model. The current study aims to test whether heavy calcification seen throughout arterial tree and kidneys in CKD can be reversed with nanoparticle therapy. Methods: Thirty healthy male Sprague-Dawley rats weighing approximately 300 g, were placed on an adenine diet for 21 non-consecutive days to induce kidney failure, followed by daily vitamin D3 (VitD3) injections for 4 sequential days to cause severe calcification throughout the cardiovascular system and kidneys. DiR-dye loaded and elastin antibody conjugated albumin nanoparticles were used to confirm the targeting of nanoparticles to the calcification area. The rats were divided into two groups for targeted removal of calcification starting at day 7 of the last doses of VitD3. The experimental group received biweekly IV injections of anti-elastin antibody conjugated EDTA loaded human serum albumin nanoparticles (EDTA-HSA-El-Ab NPs), while the sham controls received blank nanoparticles (Blank-HSA-El-Ab NPs) (5 injections in total). Micro-computed tomography (microCT) was used to analyze the extent of calcification. Reverse transcription polymerase chain reaction (RT-PCR) and immunohistochemistry studies were performed for osteogenic markers, including bone morphogenic protein 2 (BMP2), runt-related transcription factor 2 (RUNX2), and tissue non-specific alkaline phosphatase (TNAP). For comparison, aortic ring organ cultures from healthy rats were treated with high phosphate to induce calcification Results: EDTA-loaded nanoparticles that specifically target degraded elastin reversed existing heavy mineral deposits in arteries, as per elemental calcium analysis (124.161±34.410 µg Ca per mg of the dry aorta in Blank-HSA-El-Ab NPs Conclusions: This is the first study showing the removal of calcium from heavily calcified arteries by using intravenous targeted EDTA therapy. Such therapy also reversed vascular smooth muscle cell osteoblastic transition and apoptosis in the arterial tissue, thereby potentially creating an environment for suitable tissue repair.

Indexed as

antibody targetingchronic kidney disease (CKD)elastin damageethylene diamine tetraacetic acid targeted delivery (EDTA targeted delivery)Vascular calcification

Identifiers

PMID39263487
PMCPMC11384463

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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 OpenQuestion graph.