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Pharmacokinetics Profile of Chitosan Nanoparticles in Chronic Lead-induced Toxicity Rats Model

Biosaintifika: Journal of Biology & Biology Education · Vol. 16 No. 1 (2024) · pp. 107–115

DOI
10.15294/biosaintifika.v15i1.1857
ISSN
2338-7610, 2085-191X
Published
2024-04-20
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Chronic lead exposure induces ROS accumulation which causes physiological disorders. Chelation therapy has been widely used to overcome lead poisoning since it exerts only a few side effects. Nano chitosan prevents lead poisoning by inhibiting ROS. This study examined the pharmacokinetics of nano chitosan in chronic lead-induced toxicity animal models and the mechanism of action pathway using the bioinformatic approach, The area under the curve was estimated to be 12110.13 ± 7709.37 μg/mL hours using the pharmacokinetic model, and the Cmax was 82.34 ± 5.64 μg/mL. The Tmax and t½ calculations were 22.68 ± 11.67 and 80.47 ± 60.58 hours respectively. Chitosan nanoparticles regulated VEGFA, FGF2, and LGALS3 which plausibly played a substantial role in chronic lead exposure. However, chitosan is not suitable for oral administration due to its low gastrointestinal solubility. These characteristics make chitosan nanoparticles have the prospect of being developed as a supplement so that they can contribute to overcoming the negative impacts of chronic lead poisoning.

Keywords

Collaboration network of the authors

40 authors · 117 co-authorship links · showing the 40 most connected

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  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Wulan ChristijantiAffiliation unknown4
Lisdiana LisdianaAffiliation unknown4
Endah PeniatiState University of Semarang3
R. SusantiAffiliation unknown2
Wiwi IsnaeniState University of Semarang2
Eni Widya NingsihAffiliation unknown2
Woro SumarniState University of Semarang2
Kartika WidiyaningrumAffiliation unknown1
Ari YuniastutiState University of Semarang1
- MustofaAffiliation unknown1
LisdianaAffiliation unknown1
- InayahAffiliation unknown1
Arif HidayatAffiliation unknown1
Slamet Vicy HidayatAffiliation unknown1
Rahmat Al AzizAffiliation unknown1
Ita Dwi RafitaAffiliation unknown1
Fatchun NaimAffiliation unknown1
Retno Sri IswariState University of Semarang1
Yuliyantika YuliyantikaAffiliation unknown1
Izzatun NufusAffiliation unknown1
Hana WidianaAffiliation unknown1
Lailatun Nisa' Nisa'Affiliation unknown1
Yudi PriyantoAffiliation unknown1
Sugeng IbrahimAffiliation unknown1
Agung PutraAffiliation unknown1
Sri Priyantini MulyaniAffiliation unknown1
Alisia Martha DewiAffiliation unknown1
Setyo TrisnasiAffiliation unknown1
Chodijah ChodijahAffiliation unknown1
Hadi SarosaAffiliation unknown1
Amanah Galih AsihAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/biosaintifika/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Pharmacokinetics Profile of Chitosan Nanoparticles in Chronic Lead-induced Toxicity Rats Model</dc:title>
	<dc:creator xml:lang="en">Marianti, Aditya</dc:creator>
	<dc:creator xml:lang="en">Amalina, Nur Dina </dc:creator>
	<dc:creator xml:lang="en">Mursiti, Sri </dc:creator>
	<dc:creator xml:lang="en">Sitompul, Faya Nuralda </dc:creator>
	<dc:creator xml:lang="en">Futri, Shafira Septiana </dc:creator>
	<dc:creator xml:lang="en">Negara, Legendra Gantar </dc:creator>
	<dc:creator xml:lang="en">Sholehah, Intan Kharyna </dc:creator>
	<dc:creator xml:lang="en">Asmorowati, Dian Sri </dc:creator>
	<dc:creator xml:lang="en">Astari, Putri Dyah </dc:creator>
	<dc:subject xml:lang="en">nano chitosan, pharmacokinetic, lead toxicity</dc:subject>
	<dc:description xml:lang="en">Chronic lead exposure induces ROS accumulation which causes physiological disorders. Chelation therapy has been widely used to overcome lead poisoning since it exerts only a few side effects. Nano chitosan prevents lead poisoning by inhibiting ROS. This study examined the pharmacokinetics of nano chitosan in chronic lead-induced toxicity animal models and the mechanism of action pathway using the bioinformatic approach,
The area under the curve was estimated to be 12110.13 ± 7709.37 μg/mL hours using the pharmacokinetic model, and the Cmax was 82.34 ± 5.64 μg/mL. The Tmax and t½ calculations were 22.68 ± 11.67 and 80.47 ± 60.58 hours respectively. Chitosan nanoparticles regulated VEGFA, FGF2, and LGALS3 which plausibly played a substantial role in chronic lead exposure. However, chitosan is not suitable for oral administration due to its low gastrointestinal solubility. These characteristics make chitosan nanoparticles have the prospect of being developed as a supplement so that they can contribute to overcoming the negative impacts of chronic lead poisoning.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-04-20</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/biosaintifika/article/view/1857</dc:identifier>
	<dc:identifier>10.15294/biosaintifika.v15i1.1857</dc:identifier>
	<dc:source xml:lang="en">Biosaintifika: Journal of Biology &amp; Biology Education; Vol. 16 No. 1 (2024): April 2024; 107-115</dc:source>
	<dc:source>2338-7610</dc:source>
	<dc:source>2085-191X</dc:source>
	<dc:source>10.15294/biosaintifika.v16i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/biosaintifika/article/view/1857/174</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Biosaintifika: Journal of Biology &amp; Biology Education</dc:rights>
</oai_dc:dc>