Evidence map›Paper›PMID 36465861›Full record

ReviewFrontiers in chemistry2022

Upconversion rare Earths nanomaterials applied to photodynamic therapy and bioimaging.

Thaís K L Rezende, Helliomar P Barbosa, Luiz F Dos Santos, Karmel de O Lima, Patrícia Alves de Matos, Tayana M Tsubone, Rogéria R Gonçalves, Jefferson L Ferrari

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. Temoporfin-Conjugated PEGylated Poly(Biomacromolecules · 2024
    Article
  4. Article
  5. [Molecules (Basel, Switzerland) · 2024
    Review
  6. Review
  7. Nanoparticle-Based Techniques for Bladder Cancer Imaging: A Review.International journal of molecular sciences · 2023
    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

8 authors at 2 institutions in 1 country.

Thaís K L RezendeLaboratório de Desenvolvimento de Materiais Inorgânicos com Terras Raras-DeMITeR, Instituto de Química-(IQ), Universidade Federal de Uberlândia-(UFU), Uberlândia, Brazil.
Helliomar P BarbosaLaboratório de Desenvolvimento de Materiais Inorgânicos com Terras Raras-DeMITeR, Instituto de Química-(IQ), Universidade Federal de Uberlândia-(UFU), Uberlândia, Brazil.
Luiz F Dos SantosLaboratório de Materiais Luminescentes Micro e Nanoestruturados-Mater Lumen, Departamento de Química, FFCLRP, Universidade de São Paulo-(USP), Uberlândia, Brazil.
Karmel de O LimaLaboratório de Materiais Luminescentes Micro e Nanoestruturados-Mater Lumen, Departamento de Química, FFCLRP, Universidade de São Paulo-(USP), Uberlândia, Brazil.
Patrícia Alves de MatosLaboratório Interdisciplinar de Fotobiologia e Biomoléculas (LIFeBio), Instituto de Química-(IQ), Universidade Federal de Uberlândia-(UFU), Uberlândia, Brazil.
Tayana M TsuboneLaboratório Interdisciplinar de Fotobiologia e Biomoléculas (LIFeBio), Instituto de Química-(IQ), Universidade Federal de Uberlândia-(UFU), Uberlândia, Brazil.
Rogéria R GonçalvesLaboratório de Materiais Luminescentes Micro e Nanoestruturados-Mater Lumen, Departamento de Química, FFCLRP, Universidade de São Paulo-(USP), Uberlândia, Brazil.
Jefferson L FerrariLaboratório de Desenvolvimento de Materiais Inorgânicos com Terras Raras-DeMITeR, Instituto de Química-(IQ), Universidade Federal de Uberlândia-(UFU), Uberlândia, Brazil.
Universidade Federal de Uberlândia · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light-based therapies and diagnoses including photodynamic therapy (PDT) have been used in many fields of medicine, including the treatment of non-oncological diseases and many types of cancer. PDT require a light source and a light-sensitive compound, called photosensitizer (PS), to detect and destroy cancer cells. After absorption of the photon, PS molecule gets excited from its singlet ground state to a higher electronically excited state which, among several photophysical processes, can emit light (fluorescence) and/or generate reactive oxygen species (ROS). Moreover, the biological responses are activated only in specific areas of the tissue that have been submitted to exposure to light. The success of the PDT depends on many parameters, such as deep light penetration on tissue, higher PS uptake by undesired cells as well as its photophysical and photochemical characteristics. One of the challenges of PDT is the depth of penetration of light into biological tissues. Because photon absorption and scattering occur simultaneously, these processes depend directly on the light wavelength. Using PS that absorbs photons on "optical transparency windows" of biological tissues promises deeper penetration and less attenuation during the irradiation process. The traditional PS normally is excited by a higher energy photon (UV-Vis light) which has become the Achilles' heel in photodiagnosis and phototreatment of deep-seated tumors below the skin. Thus, the need to have an effective upconverter sensitizer agent is the property in which it absorbs light in the near-infrared (NIR) region and emits in the visible and NIR spectral regions. The red emission can contribute to the therapy and the green and NIR emission to obtain the image, for example. The absorption of NIR light by the material is very interesting because it allows greater penetration depth for

Indexed as

inorganicnanoparticlesphotodynamic therapyphotoluminescencerare Earth

Identifiers

PMID36465861
PMCPMC9713237
OpenAlexW4309609434

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.