Evidence map›Paper›PMID 26517562›Full record

ArticleBiomaterials2016

A porphyrin-PEG polymer with rapid renal clearance.

Haoyuan Huang, Reinier Hernandez, Jumin Geng, Haotian Sun, Wentao Song, Feng Chen, Stephen A Graves, Robert J Nickles, Chong Cheng, Weibo Cai and 1 more

Abstract read
In one paragraph

Article in Biomaterials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Self-Amplified Photodynamic Therapy through theAngewandte Chemie (International ed. in English) · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Porphyrins as ligands forMedChemComm · 2018
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

11 authors.

Haoyuan HuangDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA; Department of Chemical and Biological Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA.
Reinier HernandezDepartment of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA.
Jumin GengDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA.
Haotian SunDepartment of Chemical and Biological Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA.
Wentao SongDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA.
Feng ChenDepartment of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA.
Stephen A GravesDepartment of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA.
Robert J NicklesDepartment of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA.
Chong ChengDepartment of Chemical and Biological Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA.
Weibo CaiDepartment of Radiology and Medical Physics, University of Wisconsin, Madison, WI, USA.
Jonathan F LovellDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA; Department of Chemical and Biological Engineering, University at Buffalo, State University of New York, Buffalo, NY, USA. Electronic address: jflovell@buffalo.edu.

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
Targeting Tumors with Resealable Nanovesicles Permeabilized by NIR LightDP5OD017898 · OD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI LOVELL, JONATHAN F · 2013 to 2017
$1.9M
Novel Combination Therapy for Prostate CancerR01CA169365 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CAI, WEIBO · 2013 to 2015
$903k
NCI NIH HHS 1R01CA169365NCI NIH HHS R01 CA169365NCI NIH HHS T32 CA009206NIGMS NIH HHS T32 GM008349NIH HHS DP5 OD017898NIH HHS DP5OD017898
6 · The paper itself

Abstract

Tetracarboxylic porphyrins and polyethylene glycol (PEG) diamines were crosslinked in conditions that gave rise to a water-soluble porphyrin polyamide. Using PEG linkers 2 kDa or larger prevented fluorescence self-quenching. This networked porphyrin mesh was retained during dialysis with membranes with a 100 kDa pore size, yet passed through the membrane when centrifugal filtration was applied. Following intravenous administration, the porphyrin mesh, but not the free porphyrin, was rapidly cleared via renal excretion. The process could be monitored by fluorescence analysis of collected urine, with minimal background due to the large Stokes shift of the porphyrin (230 nm separating excitation and emission peaks). In a rhabdomyolysis mouse model of renal failure, porphyrin mesh urinary clearance was significantly impaired. This led to slower accumulation in the bladder, which could be visualized non-invasively via fluorescence imaging. Without further modification, the porphyrin mesh was chelated with (64)Cu for dynamic whole body positron emission tomography imaging of renal clearance. Together, these data show that small porphyrin-PEG polymers can serve as effective multimodal markers of renal function.

Indexed as

AnimalsDisease Models, AnimalKidneyMiceMice, Inbred ICRPolyethylene GlycolsPorphyrinsPositron-Emission TomographyRenal InsufficiencyPolyethylene GlycolsPorphyrinsAcute renal failureFluorescence imagingPolyamidePorphyrinPositron emission tomographyRenal clearance

Identifiers

PMID26517562
PMCPMC4662896

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.