Evidence map›Paper›PMID 35049651›Full record

ArticleBiosensors2022

AuNP Aptasensor for Hodgkin Lymphoma Monitoring.

Maria Slyusarenko, Sergey Shalaev, Alina Valitova, Lidia Zabegina, Nadezhda Nikiforova, Inga Nazarova, Polina Rudakovskaya, Maxim Vorobiev, Alexey Lezov, Larisa Filatova and 4 more

Abstract read
In one paragraph

Article in Biosensors, 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
–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

7 citing papers in PubMed.

  1. Article
  2. Hodgkin lymphoma and liquid biopsy: a story to be told.Journal of experimental & clinical cancer research : CR · 2024
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

14 authors.

Maria SlyusarenkoSubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0002-3677-1558
Sergey ShalaevSubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.
Alina ValitovaSubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.
Lidia ZabeginaSubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0003-0827-1641
Nadezhda NikiforovaSubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0001-7464-4237
Inga NazarovaSubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0002-6812-3088
Polina RudakovskayaCenter for Photonics and Quantum Materials, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Maxim VorobievThe Faculty of Physics and Center for Molecular and Cell Technologies, Saint-Petersburg State University, 199034 St. Petersburg, Russia.
Alexey LezovThe Faculty of Physics and Center for Molecular and Cell Technologies, Saint-Petersburg State University, 199034 St. Petersburg, Russia.
Larisa FilatovaSubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.
Natalia YevlampievaThe Faculty of Physics and Center for Molecular and Cell Technologies, Saint-Petersburg State University, 199034 St. Petersburg, Russia.
Dmitry GorinCenter for Photonics and Quantum Materials, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia.
Pavel KrzhivitskySubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.
Anastasia MalekSubcellular Technology Laboratory, Department of Hematology and Chemotherapy and Department of Radionuclide Diagnostics, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0001-5334-7292

Funding

Ministry of Health of the Russian Federation AAAA-A18-118032890186-5
6 · The paper itself

Abstract

A liquid biopsy based on circulating small extracellular vesicles (SEVs) has not yet been used in routine clinical practice due to the lack of reliable analytic technologies. Recent studies have demonstrated the great diagnostic potential of nanozyme-based systems for the detection of SEV markers. Here, we hypothesize that CD30-positive Hodgkin and Reed-Sternberg (HRS) cells secrete CD30 + SEVs; therefore, the relative amount of circulating CD30 + SEVs might reflect classical forms of Hodgkin lymphoma (cHL) activity and can be measured by using a nanozyme-based technique. A AuNP aptasensor analytics system was created using aurum nanoparticles (AuNPs) with peroxidase activity. Sensing was mediated by competing properties of DNA aptamers to attach onto surface of AuNPs inhibiting their enzymatic activity and to bind specific markers on SEVs surface. An enzymatic activity of AuNPs was evaluated through the color reaction. The study included characterization of the components of the analytic system and its functionality using transmission and scanning electron microscopy, nanoparticle tracking analysis (NTA), dynamic light scattering (DLS), and spectrophotometry. AuNP aptasensor analytics were optimized to quantify plasma CD30 + SEVs. The developed method allowed us to differentiate healthy donors and cHL patients. The results of the CD30 + SEV quantification in the plasma of cHL patients were compared with the results of disease activity assessment by positron emission tomography/computed tomography (PET-CT) scanning, revealing a strong positive correlation. Moreover, two cycles of chemotherapy resulted in a statistically significant decrease in CD30 + SEVs in the plasma of cHL patients. The proposed AuNP aptasensor system presents a promising new approach for monitoring cHL patients and can be modified for the diagnostic testing of other diseases.

Indexed as

Hodgkin DiseaseMetal NanoparticlesGoldHumansKi-1 AntigenPositron Emission Tomography Computed TomographyGoldKi-1 Antigenaptamerdiagnosticenzyme-mimetic nanoparticlesgold nanoparticlesHodgkin lymphomaliquid biopsymonitoringsmall extracellular vesicles

Identifiers

PMID35049651
PMCPMC8774100

What OpenQuestion holds

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LicenceCC BY
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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.