journal article·2026-07-14

Spheroids with Artificial Mineral Organelles: Machine-Learning-Assisted Analysis and Control of Mechanical Properties, Fusion, and Ossification

Anatolii A. Abalymov, Louis Van der Meeren, Bao Hao, Ronnie G. Willaert, Caihong Zhu, Xiangzhong Chen, Yongfeng Mei, Andre G. Skirtach, Bogdan V. Parakhonskiy

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Abstract

Controlling the balance between structural integration and functional maturation of microtissues remains a central challenge in bone tissue engineering, particularly in the design of composite cell-material constructs. Here, we demonstrate that intracellular loading of preosteoblast cells with submicron vaterite particles serves as a programmable material-based parameter to regulate spheroid behavior. Following controlled pre-loading and assembly into composite spheroids, we systematically quantified particle localization (confocal microscopy, PCC/Manders coefficients, Cellpose-based segmentation), mechanical properties (atomic force microscopy (AFM)), cell viability, osteogenic activity (ALP expression and hydroxyapatite deposition), and spheroid fusion kinetics. Ridge regression mediation analysis with bootstrap-validated pathway weights identifies particle uptake as the dominant control parameter governing a functional trade-off between structural integration and osteogenic maturation: Low loading facilitates a rapid spheroid fusion, whereas high loading enhances osteogenic maturation through direct positive effects on day-7 alkaline phosphatase activity and hydroxyapatite deposition and through a positive mediated pathway via the day-1 fusion descriptor. Importantly, early-stage fusion dynamics act as key mediators linking intracellular material loading to late-stage functional outcomes. These results establish intracellular particle loading as a tunable design variable in composite microtissues and define a practical design space for selecting loading regimes depending on whether rapid construct assembly or enhanced osteogenic maturation is required.
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Research context

OpenAlex topics: Hydrogels: synthesis, properties, applications · Mesoporous Materials and Catalysis · Polymer Surface Interaction Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

International Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China

Zhejiang Key Laboratory of Extreme Environment Functional Materials, Yiwu Research Institute of Fudan University, Yiwu 322000, Zhejiang, People's Republic of China

Department of Biotechnology

Ghent University

Research Group Structural Biology Brussels, Alliance Research Group VUB-UGhent NanoMicrobiology (NAMI)

Vrije Universiteit Brussel (VUB)

School of Basic Medical Sciences, State Key Laboratory of Brain Function and Disorders

Fudan University

Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, State Key Laboratory of Photovoltaic Science and Technology, Fudan University, Shanghai 200438, People's Republic of China

Funding

National Postdoctoral Program for Innovative Talents · Belgian Federal Science Policy Office · Fonds Wetenschappelijk Onderzoek · European Space Agency · Fonds De La Recherche Scientifique - FNRS · Science and Technology Commission of Shanghai Municipality · Shanghai Talent Programs · National Basic Research Program of China (973 Program) · Bijzonder Onderzoeksfonds · National Natural Science Foundation of China (NSFC)

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