001     294828
005     20241206182834.0
024 7 _ |a 10.1038/s41598-024-80771-x
|2 doi
024 7 _ |a pmid:39638815
|2 pmid
037 _ _ |a DKFZ-2024-02539
041 _ _ |a English
082 _ _ |a 600
100 1 _ |a Rashidipour, Marzieh
|b 0
245 _ _ |a Antimicrobial activity and cytotoxic and epigenetic effects of tannic acid-loaded chitosan nanoparticles.
260 _ _ |a [London]
|c 2024
|b Macmillan Publishers Limited, part of Springer Nature
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1733493316_12765
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Tannic acid (TA) is a potent antitumor agent, but its low bioavailability and absorption limit its use. In this study, it was loaded into chitosan-based nanoparticles (Chi-NPs) to overcome these limitations and to improve its antimicrobial and anticancer activities. TA-loaded Chi-NPs (Chi-TA-NPs) were synthesized using the ionic gelation method and physicochemically characterized by FE-SEM, FTIR, XRD, PDI, DLS, and zeta potential analysis. Additionally, the antimicrobial activity of Chi-TA-NPs against two G+ bacterial strains, two G- bacterial strains, and a fungal strain (Candida albicans) was investigated using the microbroth dilution method. MTT assay was used to examine the cytotoxic effects of Chi-TA-NPs on HepG2 cells. The expression of DNA methyltransferase 1 (DNMT1), DNMT3A, and DNMT3B was examined in HepG2 cells using RT-qPCR. The amount of 5-methylcytosine in the HepG2 cell-derived genomic DNA was measured using ELISA. FE-SEM micrographs showed the loading of TA into the chitosan-based formulation. The peaks detected in the XRD and FTIR analyses confirmed the formation of the Chi-TA-NPs. The PDI value (0.247 ± 0.03), size (567.0 ± 25.84 nm), and zeta potential (17.0 ± 5.86 mV) confirmed the relative stability of Chi-TA-NPs. A constant release profile in line with the Korsmeyer-Peppas model was detected for Chi-TA-NPs, such that approximately 44% of TA was released after 300 min. In addition, Chi-TA-NPs exhibited effective antimicrobial activity against the studied microbial strains, as manifested by MIC values ranging from 250 to 1000 µg/mL. Chi-TA-NPs induced cytotoxicity in liver tumor cell line, with an IC50 value of 500 µg/mL. Furthermore, Chi-TA-NPs considerably decreased the expression of DNMT1 (2.52-fold; p = 0.01), DNMT3A (2.96-fold; p = 0.004), and DNMT3B (2.94-fold; p < 0.0001). However, 5-methylcytosine levels in HepG2 cells were unaffected by Chi-TA-NPs treatment (p = 0.62). Finally, the antimicrobial, cytotoxic, and epigenetic effects of Chi-TA-NPs were more pronounced than those of free TA and the unloaded Chi-NPs. In conclusion, Chi-TA-NPs exhibit promising potential for reducing microbial growth and promoting cytotoxicity in liver cancer cells.
536 _ _ |a 312 - Funktionelle und strukturelle Genomforschung (POF4-312)
|0 G:(DE-HGF)POF4-312
|c POF4-312
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Antimicrobial effects
|2 Other
650 _ 7 |a Chitosan nanoparticles
|2 Other
650 _ 7 |a Cytotoxicity
|2 Other
650 _ 7 |a DNA methylation
|2 Other
650 _ 7 |a Tannic acid
|2 Other
650 _ 7 |a Chitosan
|0 9012-76-4
|2 NLM Chemicals
650 _ 7 |a Tannins
|2 NLM Chemicals
650 _ 7 |a Anti-Infective Agents
|2 NLM Chemicals
650 _ 7 |a Antineoplastic Agents
|2 NLM Chemicals
650 _ 7 |a tannic acid
|2 NLM Chemicals
650 _ 7 |a Polyphenols
|2 NLM Chemicals
650 _ 2 |a Chitosan: chemistry
|2 MeSH
650 _ 2 |a Chitosan: pharmacology
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Tannins: chemistry
|2 MeSH
650 _ 2 |a Tannins: pharmacology
|2 MeSH
650 _ 2 |a Nanoparticles: chemistry
|2 MeSH
650 _ 2 |a Hep G2 Cells
|2 MeSH
650 _ 2 |a Anti-Infective Agents: pharmacology
|2 MeSH
650 _ 2 |a Anti-Infective Agents: chemistry
|2 MeSH
650 _ 2 |a Epigenesis, Genetic: drug effects
|2 MeSH
650 _ 2 |a Candida albicans: drug effects
|2 MeSH
650 _ 2 |a Microbial Sensitivity Tests
|2 MeSH
650 _ 2 |a Antineoplastic Agents: pharmacology
|2 MeSH
650 _ 2 |a Antineoplastic Agents: chemistry
|2 MeSH
650 _ 2 |a Polyphenols
|2 MeSH
700 1 _ |a Abbaszadeh, Saber
|b 1
700 1 _ |a Birjandi, Mehdi
|b 2
700 1 _ |a Pajouhi, Naser
|b 3
700 1 _ |a Ahmadi Somaghian, Shahram
|b 4
700 1 _ |a Goudarzi, Gholamreza
|b 5
700 1 _ |a Shahryarhesami, Soroosh
|0 P:(DE-He78)f73ee1971b407b6179d3a0331f351355
|b 6
700 1 _ |a Moradi Sarabi, Mostafa
|b 7
700 1 _ |a Babaeenezhad, Esmaeel
|b 8
773 _ _ |a 10.1038/s41598-024-80771-x
|g Vol. 14, no. 1, p. 30405
|0 PERI:(DE-600)2615211-3
|n 1
|p 30405
|t Scientific reports
|v 14
|y 2024
|x 2045-2322
909 C O |o oai:inrepo02.dkfz.de:294828
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)f73ee1971b407b6179d3a0331f351355
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-312
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Funktionelle und strukturelle Genomforschung
|x 0
914 1 _ |y 2024
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SCI REP-UK : 2022
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-04-12T15:11:06Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-04-12T15:11:06Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-04-12T15:11:06Z
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2023-04-12T15:11:06Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-08-24
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-08-24
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-08-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2023-08-24
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2023-08-24
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2023-08-24
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2023-08-24
920 1 _ |0 I:(DE-He78)B070-20160331
|k B070
|l B070 Funktionelle Genomanalyse
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)B070-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21