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. 2021 Mar 18;11(1):6343.
doi: 10.1038/s41598-021-85601-y.

Machine learning to determine optimal conditions for controlling the size of elastin-based particles

Affiliations

Machine learning to determine optimal conditions for controlling the size of elastin-based particles

Jared S Cobb et al. Sci Rep. .

Abstract

This paper evaluates the aggregation behavior of a potential drug and gene delivery system that combines branched polyethyleneimine (PEI), a positively-charged polyelectrolyte, and elastin-like polypeptide (ELP), a recombinant polymer that exhibits lower critical solution temperature (LCST). The LCST behavior of ELP has been extensively studied, but there are no quantitative ways to control the size of aggregates formed after the phase transition. The aggregate size cannot be maintained when the temperature is lowered below the LCST, unless the system exhibits hysteresis and forms irreversible aggregates. This study shows that conjugation of ELP with PEI preserves the aggregation behavior that occurs above the LCST and achieves precise aggregate radii when the solution conditions of pH (3, 7, 10), polymer concentration (0.1, 0.15, 0.3 mg/mL), and salt concentration (none, 0.2, 1 M) are carefully controlled. K-means cluster analyses showed that salt concentration was the most critical factor controlling the hydrodynamic radius and LCST. Conjugating ELP to PEI allowed crosslinking the aggregates and achieved stable particles that maintained their size below LCST, even after removal of the harsh (high salt or pH) conditions used to create them. Taken together, the ability to control aggregate sizes and use of crosslinking to maintain stability holds excellent potential for use in biological delivery systems.

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Conflict of interest statement

AVJ and JSC have filed a patent application based on the results reported in this paper.

Figures

Figure 1
Figure 1
DLS results demonstrate single and bimodal curves can be obtained by varying the salt concentration. The second transition for the bimodal curve for the ELP-PEI10K (grey) occurs at the same point (black box) as neat ELP (blue) and ELP/ELP-PEI800 (orange), indicating that either the ELP-PEI10K transitions earlier than neat ELP or it has more than one ELP molecule conjugated to the PEI10K. The bimodality of the ELP/ELP-PEI800 (orange) and the ELP/ELP-PEI10K (grey) curves disappears with an increase in NaCl concentration to 1 M (blue box). All DLS curves were obtained at pH = 7.
Figure 2
Figure 2
LCST of aqueous solution samples sorted from highest to lowest with respect to the concentration of (a) ELP, (b) ELP/ELP-PEI800, and (c) ELP/ELP-PEI10K as determined by dynamic light scattering. Statistical significance between samples can be found in Supplementary Figure S1.
Figure 3
Figure 3
Dynamic light scattering results of aqueous solution samples for the Rh, sorted from largest to smallest with respect to polymer concentration of (a) ELP, (b) ELP/ELP-PEI800, and (c) ELP/ELP-PEI10K. Statistical significance between samples can be found in Supplementary Figure S2.
Figure 4
Figure 4
When heated above the LCST, the ELP/ELP-PEI polymers form aggregates that remain present in solution so long as the temperature is maintained (light grey bars). Upon crosslinking, the aggregates remain stable below their LCST at 20 °C (black bars), while the aggregates of the non-crosslinked polymers dissolve in the solution below their LCST at 20 °C (dark grey bars).
Figure 5
Figure 5
(a) A weak relationship was seen between Rh and Tt with an R2 of 0.3. (b) K-means cluster analysis was used to elucidate the primary driver of the relationship between Rh and Tt. The three groups indicated by K-means cluster analysis to be important for determining Rh versus Tt are based on the concentration of salt. (c) Separating the Rh versus Tt graph by polymer type shows that increasing the molecular weight of PEI attached to ELP decreased the Rh and Tt simultaneously. Graphs for (d) ELP, (e) ELP/ELP-PEI800, and (f) ELP/ELP-PEI10K demonstrate that increasing polymer concentration decreases Tt, but has a small influence on Rh. (g) ELP exhibits minimal effects from a change in pH. Coupling ELP to PEI imposes a pH sensitivity that allows for a control over Rh for (h) ELP/ELP-PEI800 and (i) ELP/ELP-PEI10K.
Figure 6
Figure 6
ELP/ELP-PEI800 and ELP/ELP-PEI10K systematically form nano-and micro-aggregates above LCST when the solution conditions of salt concentration, polymer concentration, and pH are carefully controlled. The PEI block provides the ability to crosslink the copolymers and to achieve particles that remain stable below LCST even after removal of the harsh (high salt or pH) conditions used to create them.

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