Evidence map›Paper›PMID 34319645›Full record

ArticleJournal of biomedical materials research. Part A2022

Macrophage depletion increases target specificity of bone-targeted nanoparticles.

Marian A Ackun-Farmmer, Baixue Xiao, Maureen R Newman, Danielle S W Benoit

Open access · greenAbstract read
In one paragraph

Article in Journal of biomedical materials research. Part A, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Marian A Ackun-FarmmerDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.ORCID 0000-0003-3081-5115
Baixue XiaoDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.ORCID 0000-0001-8337-8401
Maureen R NewmanDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.ORCID 0000-0002-9004-3332
Danielle S W BenoitDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.ORCID 0000-0001-7137-8164
University of Rochester Medical Center · US

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Rochester Resource-Based Center for Bone, Muscle and Orthopaedic Research (ROCSTARR) (Overall Application)P30AR069655 · NIAMS · UNIVERSITY OF ROCHESTER · PI Edward M. Schwarz · 2016 to 2026
$7.8M
Tissue Engineering Strategies to Revitalize Bone AllograftsR01AR064200 · NIAMS · UNIVERSITY OF ROCHESTER · PI Danielle S. Benoit · 2013 to 2026
$4.0M
Engineering scarless repair of flexor tendon injuriesR01AR056696 · NIAMS · UNIVERSITY OF ROCHESTER · PI AWAD, HANI A, BENOIT, DANIELLE S. · 2009 to 2019
$3.6M
Molecular Multispectral ImagingS10RR026542 · NCRR · UNIVERSITY OF ROCHESTER · PI AWAD, HANI A · 2010 to 2010
$370k
Nanoparticle mediated microenvironmental targeting of CCL3 signaling for the treatment of acute myelogenous leukemiaF31CA228391 · NCI · UNIVERSITY OF ROCHESTER · PI ACKUN-FARMMER, MARIAN ADRIANA · 2018 to 2020
$94k
NCATS NIH HHS UL1 TR002001NCI NIH HHS F31 CA228391NCRR NIH HHS S10 RR026542NIAMS NIH HHS P30 AR069655NIAMS NIH HHS R01 AR056696NIAMS NIH HHS R01 AR064200NIH HHS F31 CA228391NIH HHS P30 AR069655NIH HHS R01 AR056696NIH HHS R01 AR064200
6 · The paper itself

Abstract

Despite efforts to achieve tissue selectivity, the majority of systemically administered drug delivery systems (DDSs) are cleared by the mononuclear phagocyte system (MPS) before reaching target tissues regardless of disease or injury pathology. Previously, we showed that while tartrate-resistant acid phosphatase (TRAP) binding peptide (TBP)-targeted polymeric nanoparticles (TBP-NP) delivering a bone regenerative Wnt agonist improved NP fracture accumulation and expedited healing compared with controls, there was also significant MPS accumulation. Here we show that TBP-NPs are taken up by liver, spleen, lung, and bone marrow macrophages (Mϕ), with 76 ± 4%, 49 ± 11%, 27 ± 9%, and 92 ± 5% of tissue-specific Mϕ positive for NP, respectively. Clodronate liposomes (CLO) significantly depleted liver and spleen Mϕ, resulting in 1.8-fold and 3-fold lower liver and spleen and 1.3-fold and 1.6-fold greater fracture and naïve femur accumulation of TBP-NP. Interestingly, depletion and saturation of MPS using 10-fold greater TBP-NP doses also resulted in significantly higher TBP-NP accumulation at lungs and kidneys, potentially through compensatory clearance mechanisms. The higher NP dose resulted in greater TBP-NP accumulation at naïve bone tissue; however, other MPS tissues (i.e., heart and lungs) exhibited greater TBP-NP accumulation, suggesting uptake by other cell types. Most importantly, neither Mϕ depletion nor saturation strategies improved fracture site selectivity of TBP-NPs, possibly due to a reduction of Mϕ-derived osteoclasts, which deposit the TRAP epitope. Altogether, these data support that MPS-mediated clearance is a key obstacle in robust and selective fracture accumulation for systemically administered bone-targeted DDS and motivates the development of more sophisticated approaches to further improve fracture selectivity of DDS.

Indexed as

NanoparticlesBone and BonesDrug Delivery SystemsLiposomesMacrophagesLiposomesbiodistributionbone targetingclodronate-liposomesmacrophagesnanoparticles

Identifiers

PMID34319645
PMCPMC8595540
OpenAlexW3186857468

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.