Non-linear Characterization of Commercial and Decellularized Hydrogels: Statistical Framework Enhanced by Bayesian Optimization.

IF 3.5 4区 医学 Q3 BIOPHYSICS
Cellular and molecular bioengineering Pub Date : 2026-06-30 eCollection Date: 2026-06-01 DOI:10.1007/s12195-026-00913-1
D E García-García, D Marques, H Amaveda, M Mora, J Asín, I Villaoslada, P M Baptista, M A Pérez, J M García-Aznar
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引用次数: 0

Abstract

Scope: Hydrogels are widely used in the design of tissue substitutes because of their ability to mimic the extracellular matrix (ECM). Their mechanical cues critically influence the cellular response, making accurate characterization essential. However, it remains challenging due to their intricate nature. This study computationally evaluates the hyperelastic properties of next-generation hydrogels of high biomedical interest, including basal membrane extract and decellularized liver matrices, as well as structural proteins.

Methods: We present a combined framework based on Bayesian optimization and statistical analyses that go beyond classical least-squares fitting, leveraging rheological experimental data. It defines each hyperelastic strain-energy density function, and addresses both intra- and inter-sample variability. This approach quantifies uncertainty and reveals the natural variability that deterministic models overlook, and it also enables quantification of coefficient variation with composition.

Results: Validation against experimental data shows computational fits of 5% error in most cases, and low calculation time. Analyses reveal that composition-collagen addition, fibrin concentration, and decellularized extracellular matrix (dECM) age-modulate initial stiffness, nonlinearity, and overall mechanical resistance of the hydrogels.

Conclusion: Hydrogels derived from basal membrane extracts exhibit comparable non-linear mechanics, while collagen addition reduces stiffness and nonlinearity. In fibrin-based hydrogels with decellularized liver matrix, mechanical behavior is concentration and age-dependent. Such insights are highly relevant for mechanobiology, enabling prediction of how cells sense mechanical cues and scaffold composition influences in vivo interactions.

Supplementary information: The online version of this article (10.1007/s12195-026-00913-1) contains supplementary material, which is available to authorized users.

商业和脱细胞水凝胶的非线性表征:贝叶斯优化增强的统计框架。
水凝胶由于其模拟细胞外基质(ECM)的能力而广泛应用于组织替代品的设计。它们的机械线索严重影响细胞反应,使准确的表征至关重要。然而,由于其复杂的性质,它仍然具有挑战性。本研究计算评估了具有高生物医学价值的下一代水凝胶的超弹性特性,包括基膜提取物和脱细胞肝基质,以及结构蛋白。方法:我们提出了一个基于贝叶斯优化和统计分析的组合框架,超越了经典的最小二乘拟合,利用流变学实验数据。它定义了每个超弹性应变-能量密度函数,并解决了样品内部和样品间的可变性。这种方法量化了不确定性,并揭示了确定性模型所忽略的自然变异性,而且它还可以量化成分的系数变化。结果:对实验数据的验证表明,在大多数情况下,计算拟合误差为5%,计算时间短。分析表明,组成-胶原添加,纤维蛋白浓度和脱细胞细胞外基质(dECM)年龄调节水凝胶的初始刚度,非线性和整体机械阻力。结论:基膜提取物衍生的水凝胶具有类似的非线性力学,而胶原蛋白的加入降低了刚度和非线性。在具有脱细胞肝基质的纤维蛋白基水凝胶中,力学行为与浓度和年龄有关。这些见解与机械生物学高度相关,可以预测细胞如何感知机械线索和支架成分如何影响体内相互作用。补充信息:本文的在线版本(10.1007/s12195-026-00913-1)包含补充信息,授权用户可使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.60
自引率
3.60%
发文量
30
审稿时长
>12 weeks
期刊介绍: The field of cellular and molecular bioengineering seeks to understand, so that we may ultimately control, the mechanical, chemical, and electrical processes of the cell. A key challenge in improving human health is to understand how cellular behavior arises from molecular-level interactions. CMBE, an official journal of the Biomedical Engineering Society, publishes original research and review papers in the following seven general areas: Molecular: DNA-protein/RNA-protein interactions, protein folding and function, protein-protein and receptor-ligand interactions, lipids, polysaccharides, molecular motors, and the biophysics of macromolecules that function as therapeutics or engineered matrices, for example. Cellular: Studies of how cells sense physicochemical events surrounding and within cells, and how cells transduce these events into biological responses. Specific cell processes of interest include cell growth, differentiation, migration, signal transduction, protein secretion and transport, gene expression and regulation, and cell-matrix interactions. Mechanobiology: The mechanical properties of cells and biomolecules, cellular/molecular force generation and adhesion, the response of cells to their mechanical microenvironment, and mechanotransduction in response to various physical forces such as fluid shear stress. Nanomedicine: The engineering of nanoparticles for advanced drug delivery and molecular imaging applications, with particular focus on the interaction of such particles with living cells. Also, the application of nanostructured materials to control the behavior of cells and biomolecules.
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