Ekaterina A. Plotnikova

Dr. Ekaterina A. Plotnikova

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2019 in Journal of Colloid and Interface Science
Verified
Journal Article
Closed access
ПОПетр Островерхов
Петр Островерхов
ASA.S. Semkina
A.S. Semkina
VNV.A. Naumenko
V.A. Naumenko
EPEkaterina A. Plotnikova
Ekaterina A. Plotnikova
PMPavel Melnikov
Pavel Melnikov
Maxim AbakumovMaxim Abakumov
Maxim Abakumov

19 November 2021 in Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
AMAleksei Machulkin
Aleksei Machulkin
AUAnastasia A. Uspenskaya
Anastasia A. Uspenskaya
NZNikolay U. Zyk
Nikolay U. Zyk
ENEkaterina A. Nimenko
Ekaterina A. Nimenko
ABAnton P. Ber
Anton P. Ber
AMAlexander G. Majouga
Alexander G. Majouga

1 August 2019 in Bioorganic & Medicinal Chemistry Letters
Verified
Journal Article
Closed access
AMAleksei Machulkin
Aleksei Machulkin
DSDmitry Skvortsov
Dmitry Skvortsov
YIYan A. Ivanenkov
Yan A. Ivanenkov
ABAnton P. Ber
Anton P. Ber
MKMikhail V. Kavalchuk
Mikhail V. Kavalchuk
AMAlexander G. Majouga
Alexander G. Majouga

18 December 2017 in Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
AMAndrey F. Mironov
Andrey F. Mironov
MGMikhail A. Grin
Mikhail A. Grin
IPIvan V. Pantushenko
Ivan V. Pantushenko
POPetr V. Ostroverkhov
Petr V. Ostroverkhov
YIYan A. Ivanenkov
Yan A. Ivanenkov
AMAlexander G. Majouga
Alexander G. Majouga

1 January 2015 in Russian Journal of General Chemistry
Verified
Journal Article
Closed access
PDF file
RYR. I. Yakubovskaya
R. I. Yakubovskaya
NMNatalya Morozova
Natalya Morozova
PAPankratov Andrey
Pankratov Andrey
NKN. I. Kazachkina
N. I. Kazachkina
APA. D. Plyutinskaya
A. D. Plyutinskaya
Marina StrakhovskayaMarina Strakhovskaya
Marina Strakhovskaya
Photodynamic therapy and fluorescence diagnosis of malignant tumors have been actively developed over the last 15 years by the scientists participating in the Moscow Government-funded “Fight against...

17 December 2018 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
ПОПетр Островерхов
Петр Островерхов
ASAlevtina Semkina
Alevtina Semkina
VNVictor Naumenko
Victor Naumenko
EPEkaterina A. Plotnikova
Ekaterina A. Plotnikova
RYRaisa Yakubovskaya
Raisa Yakubovskaya
Maxim AbakumovMaxim Abakumov
Maxim Abakumov
Background: Photodynamic therapy (PDT) is a promising technique for cancer treatment; however, low tissue permeability for irradiating light and insufficient photosensitizer (PS) accumulation in tumors limit its clinical potential. Nanoparticles are engineered to improve selective drug delivery to tumor sites, but its accumulation is highly variable between tumors and patients. Identifying PS accumulation peak in a personalized manner is crucial for therapeutic outcome. Magnetic nanoparticles (MNPs) provide opportunity for tracking drug accumulation in dynamics using non-invasive magnetic resonance imaging (MRI). The purpose of the study was to evaluate MNP loaded with PS as a theranostic tool for treating cancer in mice xenograft colon cancer models. Methods: MNPs coated with human serum albumin (HSA) were loaded with bacteriochlorine a. MRI, atomic emission spectroscopy (AES) and fluorescent imaging were used to study MNP and drug accumulation rates and dynamics in CT26 tumors. Tumor growth curves were evaluated in animals that received PDT at different time points upon MNP systemic injection. Results: Peak MNP accumulation in tumors was detected by MRI 60 min post injection (pi) and the data were verified by AES and fluorescent imaging. Up to 17% of injected dose/g of tissue was delivered to malignant tissues 24 h after injection. Consistent with MRI predicted drug accumulation peak PDT performed 60 min after intravenous injection was more efficient in inhibiting tumor growth than treatment scheduled 30 min and 240 min pi. Conclusions: PS loading on HAS-coated MNPs is a perspective approach to increase drug delivery to tumor site. Tracking for MNP accumulation by MRI can be used to predict drug concentration peak in tumors and to adjust PDT time scheduling for improved antitumor response.