Effects of Chain Length of Chitosan Oligosaccharides on Solution Properties and Complexation with siRNA

Delas, Tim; Mock-Joubert, Maxime; Faivre, Jimmy; Hofmaier, Mirjam; Sandre, Olivier; Dole, François; Chapel, Jean‐Paul; Crépet, Agnès; Trombotto, Stéphane; Delair, Thierry; Schatz, Christophe

doi:10.3390/polym11081236

Cited by 18 publications

(23 citation statements)

References 77 publications

(123 reference statements)

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“…Polymer chains of medium size are more flexible and can retain a higher proportion of fat molecules inside the particle. Longer polymer chains are usually associated with molecular entanglement and a higher degree of crystallinity due to stronger intramolecular interactions and formation of particle aggregates that reduce the fat binding capacity, 66–69 corroborating the results in Table 2. Moreover, Czechowska‐Biskup et al 70 evaluated the fat‐binding capacity of radiated and sonicated chitosan samples with DD of about 88% and M v ranging from 25 to 408 kDa.…”

Section: Resultssupporting

confidence: 80%

Chitosan preparations with improved fat‐binding capacity

Silva

Gasparrini

Cremonez

et al. 2021

J of Applied Polymer Sci

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Chitosan is a polycationic polysaccharide with good health and nutritional benefits. This study investigated the effect of chitosan properties, such as, biopolymer structure, viscometric molar mass (Mv), and degree of deacetylation (DD), on the fat‐binding capacity between five chitosan preparations (different origins and characteristics) and three types of fat (soybean oil, margarine, and pork lard). The in vitro fat‐binding tests were performed with soybean oil under different pH to simulate the digestion process in the gastrointestinal tract, followed by tests at constant pH (duodenal pH = 6.8) with three types of fat. Shrimp shell nanochitosan had an average hydrodynamic diameter of 62 nm, while that of shrimp shell chitosan and commercial chitosans (CC1, CC2, and CC3) ranged between 1090 and 1405 nm (determined by DLS). The Mv of chitosan varied between 18 and 260 kDa, and the DD ranged from 62% to 92%. Chitosan with medium Mv and high DD presented better results of fat‐binding capacity in the duodenal pH with soybean oil. This study provides insights into the mechanisms of fat‐binding capacity and its correlation with physicochemical properties of chitosan, pH, and type of fat, allowing the production of chitosan‐based products with improved fat‐binding capacity for several applications.

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Section: Resultssupporting

confidence: 80%

Chitosan preparations with improved fat‐binding capacity

Silva

Gasparrini

Cremonez

et al. 2021

J of Applied Polymer Sci

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“…The new source of chitosan was selected based on structural parameters known to influence the formation of complex with siRNA and interfering with the siRNA activity obtained in vitro and in vivo. Consistently, quality criteria included a similarity of the degree of deacetylation and molecular weight as they were the most cited structural parameters of chitosan influencing performances of nucleic acid chitosan-based carriers [26,30,35,37,38,40,41,60]. Nanoparticles designed as siRNA carrier produced with the home-prepared chitosan, NP-CS Lab P, and chitosan of the commercial source, NP-CS Com P, displayed very similar quality based on size and zeta potential criteria.…”

Section: Discussionmentioning

confidence: 93%

“…SiRNA associates with the nanomedicines thanks to the formation of a complex with chitosan involving electrostatic interactions between the negative charges of the phosphates of siRNA and the positive charges of the amino group of glucosamine residues found in chitosan [26,34,35]. The association is influenced by the molecular weight and degree of deacetylation of chitosan and by conditions in which it is performed including the pH of the medium and the amine to phosphate ratio [26,29,[36][37][38]. The molecular weight of chitosan and its degree of deacetylation were reported to also influence the delivery performance of active siRNA in vitro and in vivo [29,37,[39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

“…While obtained from chitin, a natural compound, the quality of chitosan is subjected to variability which in turn can affect activities in biomedical applications [26,41,56,57]. The most cited characteristics of chitosan influencing in vitro and in vivo delivery and activity of nucleic acids including siRNA are the molecular weight and degree of deacetylation [26,[36][37][38][39][40][41][58][59][60]. The influence of the type of salt of chitosan was studied in very few works giving mitigated results.…”

Section: Introductionmentioning

confidence: 99%

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Counterion of Chitosan Influences Thermodynamics of Association of siRNA with a Chitosan-Based siRNA Carrier

2020

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Purpose:The work aimed to compare quality of a siRNA carrier prepared with chitosan of two different sources having similar degree of deacetylation and molecular weights. Differences were analyzed from thermodynamic characteristics of interactions with siRNA. Methods: The siRNA carrier (chitosan-coated poly(isobutylcyanoacrylate) nanoparticles) was prepared with home-prepared, CS Lab , and commercial, CS Com , chitosans. Chitosan counterion was identified and chitosans CS Com mod1 and CS Com mod2 were obtained from CS Com exchanging counterion with that found on CS Lab . Carrier quality was checked considering the size, zeta potential and siRNA association capacity by gel electrophoresis. Thermodynamic parameters of interactions between siRNA and chitosans in solution or immobilized at the carrier surface were determined by (ITC). Results: CS Lab and CS Com mod2 having a high content of acetate counterion associated better siRNA than CS Com and CS Com mod1 which counterion included mainly chloride. ITC measurements indicated that siRNA interactions with chitosan and the siRNA carrier were driven by entropic phenomena including dehydration, but thermodynamic parameters of interactions clearly differed according to the nature of the counterion of chitosan. The influence of chitosan counterions was interpreted considering their different lyotropic character. Conclusion: Association of siRNA with our siRNA carrier was influenced by the nature of counterions associated with chitosan. Driven by entropic phenomena including dehydration, interactions were favored by acetate counterion. Although more work would be needed to decipher the influence of the counterion of chitosan during association with siRNA, it was pointed out as a new critical attribute of chitosan to consider while formulating siRNA carrier with this polysaccharide.

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“…3). Since the amino groups of GlcN units are mainly not protonated at pH 7, these substrates were uncharged 36 . For each binding mode and substrate, three different conformations with the highest docking scores were chosen from the in silico docking.…”

Section: Docking Studies and MD Simulations With A4 A5 And A3d1mentioning

confidence: 99%

In silico and in vitro analysis of an Aspergillus niger chitin deacetylase to decipher its subsite sugar preferences

Bonin

Hameleers

Hembach

et al. 2021

Journal of Biological Chemistry

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Effects of Chain Length of Chitosan Oligosaccharides on Solution Properties and Complexation with siRNA

Cited by 18 publications

References 77 publications

Chitosan preparations with improved fat‐binding capacity

Chitosan preparations with improved fat‐binding capacity

Counterion of Chitosan Influences Thermodynamics of Association of siRNA with a Chitosan-Based siRNA Carrier

In silico and in vitro analysis of an Aspergillus niger chitin deacetylase to decipher its subsite sugar preferences

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