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The use of hydrogel microspheres as cell and drug delivery carriers for bone,cartilage,and soft tissue regeneration

Biomaterials Translational 2024年第3期5卷 236-256页

作者： Chung-Hsun Lin Jesse RSrioudom Wei Sun Malcolm Xing Su Yan Le Yu Jian Yang Department of Biomedical Engineering The Pennsylvania State UniversityUniversity ParkPAUSA Department of Bioengineering University of PennsylvaniaPhiladelphiaPAUSA Leicester International Institute Dalian University of TechnologyPanjinLiaoning ProvinceChina Department of Mechanical Engineering University of ManitobaWinnipegCanada Division of Biological and Biomedical Systems University of Missouri-Kansas CityKansas CityMOUSA Biomedical Engineering Program Westlake UniversityHangzhouZhejiang ProvinceChina Research Centre for Industries of the Future Westlake UniversityHangzhouZhejiang ProvinceChina

Bone,cartilage,and soft tissue regeneration is a complex process involving many cellular activities across various cell *** remain the“gold standard”for the regeneration of these ***,the use of autografts is associated with many disadvantages,including donor scarcity,the requirement of multiple surgeries,and the risk of *** development of tissue engineering techniques opens new avenues for enhanced tissue ***,the expectations of tissue engineering scaffolds have gone beyond merely providing physical support for cell *** scaffolds should also provide biological cues to actively boost tissue *** a new type of injectable biomaterial,hydrogel microspheres have been increasingly recognised as promising therapeutic carriers for the local delivery of cells and drugs to enhance tissue *** to traditional tissue engineering scaffolds and bulk hydrogel,hydrogel microspheres possess distinct advantages,including less invasive delivery,larger surface area,higher transparency for visualisation,and greater flexibility for ***,we review the materials characteristics of hydrogel microspheres and compare their fabrication approaches,including microfluidics,batch emulsion,electrohydrodynamic spraying,lithography,and mechanical ***,based on the different requirements for bone,cartilage,nerve,skin,and muscle tissue regeneration,we summarize the applications of hydrogel microspheres as cell and drug delivery carriers for the regeneration of these ***,hydrogel microspheres are regarded as effective therapeutic delivery carriers to enhance tissue regeneration in regenerative ***,significant effort is required before hydrogel microspheres become widely accepted as commercial products for clinical use.

关键词： drug delivery fabrication techniques hydrogel microspheres microgels tissue regeneration

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Corrigendum to "Effect of cell imprinting on viability and drug susceptibility of breast cancer cells to doxorubicin" [Acta Biomaterialia, 2020, 113, 119-129] (Acta Biomaterialia (2020) 113 (119–129), (S1742706120303287), (10.1016/***.2020.06.007))

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Acta Biomaterialia 2025年 198卷 571-572页

作者： Shahriyari, Fatemeh Janmaleki, Mohsen Sharifi, Shahriar Hesar, Milad Eyvazi Hoshian, Sasha Taghiabadi, Reza Razaghian, Ahmad Ghadiri, Majid Peirovi, Afshin Mahmoudi, Morteza Nezhad, Amir Sanati Khademhosseini, Ali Division of Engineering in Medicine Department of Medicine Brigham and Women's Hospital Harvard Medical School CambridgeMA United States Division of Health Sciences & Technology Harvard-Massachusetts Institute of Technology Massachusetts Institute of Technology CambridgeMA United States Department of Materials Engineering Faculty of Engineering Imam Khomeini International University Qazvin Iran Biomedical Engineering Graduate Program University of Calgary Canada Precision Health Program and Department of Radiology Michigan State University East LansingMI48824 United States RWTH Aachen University Templergraben 55 Aachen52062 Germany Department of Chemistry and Materials Science Aalto University School of Chemical Engineering Espoo Finland Department of Mechanical Engineering Faculty of Engineering Imam Khomeini International University Qazvin Iran Nano-Biotechnology Department Pasteur Institute of Iran Tehran Iran Departments of Bioengineering Chemical and Biomolecular Engineering and Radiological Sciences Center for Minimally Invasive Therapeutics California NanoSystems Institute University of California – Los Angeles Los AngelesCA United States Terasaki Institute for Biomedical Innovation Los AngelesCA United States

The authors regret to report that the images for panels h (Plain PDMS) and I (MCF7-imprinted PDMS) in Fig. 3 were mistakenly taken from the same dataset, resulting in the omission of the correct image in panel h for the Plain PDMS day 7 image. We sincerely apologize for this error. For an accurate representation, please see the corrected Fig. 3 provided here along with its original figure caption. This does not affect the validity of the statistical analyses or the overall conclusions drawn from the study. © 2025

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Opto2P-FCM: A MEMS Based Miniature Two-Photon Microscope with Patterned Optogenetic Stimulation

Opto2P-FCM: A MEMS Based Miniature Two-Photon Microscope wit...

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Microscopy Histopathology and Analytics, Microscopy 2024 - Part of Optica Biophotonics Congress: Biomedical Optics

作者： Futia, Gregory L. Zohrabi, Mo McCullough, Connor Teel, Alec de Souza, Fabio Simoes Oroke, Ryan Bright, Victor M. Restrepo, Diego Gopinath, Juliet T. Gibson, Emily A. Department of Bioengineering University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Cell and Developmental Biology University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States Department of Mechanical Engineering University of Colorado BoulderCO80309 United States Department of Physics University of Colorado BoulderCO80309 United States Materials Science and Engineering Program University of Colorado BoulderCO80309 United States

Miniaturized microscopes for monitoring neural activity are an indispensable tool for neuroscience research. We present a novel MEMS based miniature microscope with patterned optogenetic stimulation capabilities enabl... 详细信息

ISBN: (纸本)9781957171340

关键词： Microscopes

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Correction: Materials laboratories of the future for alloys, amorphous, and composite materials (MRS Bulletin, (2025), 50, 2, (190-207), 10.1557/s43577-024-00846-y)

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MRS Bulletin 2025年 1-2页

作者： Banerjee, Sarbajit Meng, Y. Shirley Minor, Andrew M. Zhang, Minghao Zaluzec, Nestor J. Chan, Maria K.Y. Seidler, Gerald McComb, David W. Agar, Joshua Mukherjee, Partha P. Melot, Brent Chapman, Karena Guiton, Beth S. Klie, Robert F. McCue, Ian D. Voyles, Paul M. Robertson, Ian Li, Ling Chi, Miaofang Destino, Joel F. Devaraj, Arun Marquis, Emmanuelle A. Segre, Carlo U. Liu, Huinan H. Yang, Judith C. Momeni, Kasra Misra, Amit Abdolrahim, Niaz Medvedeva, Julia E. Cai, Wenjun Sehirlioglu, Alp Dizbay-Onat, Melike Mehta, Apurva Graham-Brady, Lori Maruyama, Benji Rajan, Krishna Warner, Jamie H. Taheri, Mitra L. Kalinin, Sergei V. Reeja-Jayan, B. Schwarz, Udo D. Simon, Sindee L. Brown, Craig M. Department of Chemistry and Department of Materials Science & Engineering Texas A & M University College Station United States Pritzker School of Molecular Engineering The University of Chicago Chicago United States Department of Materials Science & Engineering University of California Berkeley Berkeley United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory Berkeley United States Center for Nanoscale Materials Argonne National Laboratory Lemont United States Department of Physics University of Washington Seattle United States Department of Materials Science & Engineering The Ohio State University Columbus United States Department of Mechanical Engineering and Mechanics Drexel University Philadelphia United States School of Mechanical Engineering Purdue University West Lafayette United States Department of Chemistry University of Southern California Los Angeles United States Department of Chemistry Stony Brook University The State University of New York Stony Brook United States Department of Chemistry University of Kentucky Lexington United States Department of Physics University of Illinois at Chicago Chicago United States Department of Materials Science & Engineering Northwestern University Evanston Bangladesh Department of Materials Science & Engineering University of Wisconsin–Madison Madison United States Department of Materials Science and Engineering University of Pennsylvania Philadelphia United States Department of Mechanical Engineering and Materials Science Duke University Durham United States Department of Chemistry Creighton University Omaha United States Physical and Computational Sciences Directorate Pacific Northwest National Laboratory Richland United States Department of Materials Science & Engineering University of Michigan–Ann Arbor Ann Arbor United States Department of Physics Illinois Institute of Technology Chicago United States Department of Bioengineering and the Mater

This article was updated to correct Minghao Zhang’s affiliation from "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA" to "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA;Argonne National Laboratory, Lemont, USA." Argonne National Laboratory was left off the original publication. © The Author(s) 2025.

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DROPLET DIGITAL IMMUNO-PCR FOR PROFILING PROTEIN-SPECIFIC EXTRACELLULAR VESICLES 26

DROPLET DIGITAL IMMUNO-PCR FOR PROFILING PROTEIN-SPECIFIC EX...

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26th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Lix, Chxnchen Lin, Hxixian Yao, Shxhxai Department of Laboratory Medicine Nanfang Hospital Southern Medical University Guangzhou China Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Bioengineering Graduate Program Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781733419048

We construct a versatile droplet digital immuno-PCR ddiPCR assay which integrates immuno-PCR and droplet digital PCR ddPCR for quantifying protein-specific extracellular vesicle EV subpopulations at the single-vesicle level. We applied the ddiPCR assays for profiling the EV proteins of CD/CD63/CD81, HER2, EpCAM in a breast cancer cohort. The results demonstrated that the counting of multi-subpopulation EVs could significantly distinguish patients with breast tumor at different stages or hepatocellular carcinoma from healthy controls. This study provides a promising strategy to count multi-subpopulation EVs at the single-vesicle level for cancer diagnosis. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Drops

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Fluid-Structure Interaction Analysis of Brain Tissue During Head Impacts Using Newtonian and Non-Newtonian Cerebrospinal Fluid Models

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ASME Open Journal of engineering 2025年 4卷 041003页

作者： Hemmati, Parnian Prins, Mayumi L. Giza, Christopher C. Kavehpour, H. Pirouz Department of Mechanical and Aerospace Engineering University of California Los Angeles Los AngelesCA90095 United States Department of Neurosurgery David Geffen School of Medicine University of California Los Angeles Los AngelesCA90095 United States The UCLA Brain Injury Research Center University of California Los Angeles Los AngelesCA90095 United States The UCLA Steve Tisch BrainSPORT Program University of California Los Angeles Los AngelesCA90095 United States Department of Pediatrics University of California Los Angeles Los AngelesCA90095 United States Interdepartmental Programs for Neuroscience and Biomedical Engineering University of California Los Angeles Los AngelesCA90095 United States Department of Bioengineering University of California Los Angeles Los AngelesCA90095 United States

Traumatic brain injury (TBI) caused mainly by external head impacts poses significant health concerns globally. Understanding the mechanics behind TBI during head impacts is crucial for developing effective preventive and therapeutic strategies. In this study, the fluid-structure interaction within the system comprising the skull, brain, and the cerebrospinal fluid (CSF)-filled gap is investigated using finite element methods (FEM). Unlike most studies that model CSF as a solid, this research models CSF as a fluid, focusing on its fluid dynamics and their impact on brain tissue response to external head impacts. Additionally, this study is the first to model CSF as a non-Newtonian fluid, exploring its influence on injury metrics compared to a Newtonian CSF model. The results demonstrate significant pressure build-up and shear rate variations within the CSF due to impact. The model shows that maximum strain values are concentrated in the central regions of the brain tissue rather than at its interface with the CSF. Comparative analysis of the first and third principal strains shows that the tissue experiences twice as much compressive strain compared to tensile strain. Further, the comparison between Newtonian and non-Newtonian CSF models shows that the non-Newtonian model results in lower shear rates. This leads to a decrease in tissue strain, with a 4.3% reduction in the first principal strain and a 6.7% reduction in the third principal strain for the non-Newtonian CSF model. These findings underscore the importance of accurately modeling CSF properties to better understand TBI mechanisms. Copyright © 2025 by ASME;reuse license CC-BY 4.0.

关键词： Non Newtonian flow

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Deep-learning triage of 3D pathology data for improved disease detection while reducing pathologist workloads

Deep-learning triage of 3D pathology data for improved disea...

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Microscopy Histopathology and Analytics, Microscopy 2024 - Part of Optica Biophotonics Congress: Biomedical Optics

作者： Gao, Gan Wang, Fiona Brenes, David Song, Andrew H. Chow, Sarah S.L. Mahmood, Faisal Liu, Jonathan T.C. Department of Mechanical Engineering University of Washington SeattleWA98195 United States Department of Computer Science University of Washington SeattleWA98195 United States Department of Pathology Brigham and Women's Hospital Harvard Medical School BostonMA02115 United States Department of Pathology Massachusetts General Hospital Harvard Medical School BostonMA02114 United States Cancer Program Broad Institute of Harvard and MIT CambridgeMA02142 United States Data Science Program Dana-Farber Cancer Institute BostonMA02215 United States Department of Bioengineering University of Washington SeattleWA98195 United States Department of Laboratory Medicine & Pathology University of Washington School of Medicine SeattleWA98195 United States

3D pathology can potentially improve disease detection, but the datasets are too large to review. We're developing a deep-learning-based triage method to identify the highest-risk 2D sections within 3D pathology d... 详细信息

关键词： Adversarial machine learning

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Sample Preconcentration Through Airjet-Induced Liquid Phase Enrichment

SSRN

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SSRN 2023年

作者： Wang, Edward Laurent, Louise C. Hall, Drew A. Lo, Yu-Hwa Department of Aerospace and Mechanical Engineering Materials Science and Engineering Program University of California La Jolla San DiegoCA United States Sanford Consortium of Regenerative Medicine United States Department of Electrical and Computer Engineering University of California La Jolla San DiegoCA United States Department of Bioengineering

Sample preparation is essential for nucleic acid assays, affecting their sensitivity and reliability. However, this process often results in a significant loss or dilution of the analyte, which becomes a bottleneck that limits downstream assay performance, particularly for assays that accept a limited input sample volume. To overcome this challenge, we present an evaporative-based sample enrichment method that uses an airjet to concentrate analytes within a small, defined volume by reversing the coffee-ring effect. A small, concentrated sample can then be collected for analysis to increase the initial sample load. The effectiveness of the reported airjet enrichment was quantified using qPCR of λ-DNA, HeLa-S3 RNA, and heat-inactivated SARS-CoV-2 samples. Comparisons between airjet enrichment and conventional evaporative concentration methods demonstrated significant advantages of airjet enrichment, including the ability to concentrate a high percentage of analyte within a 1 µL volume. The enrichment method was then integrated and adapted for various fluid volumes commonly found in nucleic acid sample preparation procedures. Here, airjet enrichment reduced the overall [[EQUATION]] by an average of 9.27 cycles for each analyte, resulting in a 600-fold enrichment from the initial concentration. In addition, to perform selective enrichment and prevent salt-based interference in downstream analysis, PEG was added to reduce the co-enrichment of salt. These studies show how airjet enrichment technology can be easily integrated into existing laboratory protocols with minimal modification and significantly improve the performance of nucleic acid amplification assays. © 2023, The Authors. All rights reserved.

关键词： Biomolecules

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Multi-physics modeling and finite-element formulation of neuronal dendrite growth with electrical polarization

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Brain Multiphysics 2023年 4卷

作者： Wang, Shuolun Wang, Xincheng Holland, Maria A. Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame 46556 IN United States Bioengineering Graduate Program University of Notre Dame Notre Dame 46556 IN United States

The neuron serves as the basic computational unit for the brain. Altered neuronal morphologies are usually found in various neurological diseases, such as Down syndrome, Williams syndrome, and idiopathic autism. Compelling biological evidence demonstrates that neuronal morphology can be dynamically regulated by neuronal activity through the mediation of calcium signaling pathways. Moreover, studies have revealed that exposure to an applied electric field can induce directional migration of neurites toward the cathode. In this study, we developed a coupled system that combines an advective Gray–Scott model with Gauss's law to gain a better understanding of dendrite growth and response to electrical polarization. Our simulation results successfully capture key features such as dendrite branching, space-filling, self-avoidance, and electrical polarization. With the help of the convolutional neural network, we inversely identified model parameters of real dendrite morphologies from an online open source. Finally, we calibrated our model using experimental data on growing neurons under applied electric fields. © 2023

关键词： Convolutional neural network Finite element modeling Neuronal dendrites Turing patterns

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Microfabricated platforms to investigate cell mechanical properties

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Medicine in Novel Technology and Devices 2022年第1期13卷 49-58页

作者： Amir M.Esfahani Grayson Minnick Jordan Rosenbohm Haiwei Zhai Xiaowei Jin Bahareh Tajvidi Safa Justin Brooks Ruiguo Yang Department of Mechanical and Materials Engineering University of Nebraska-LincolnLincolnNE68516USA Nebraska Center for Integrated Biomolecular Communication University of Nebraska-LincolnLincolnNE68588USA Mary and Dick Holland Regenerative Medicine Program University of Nebraska Medical CenterOmahaNE68198USA Department of Bioengineering School of MedicineJohns Hopkins UniversityBaltimoreMD21205USA

mechanical stimulation has been imposed on living cells using several *** early investigations were conducted on groups of cells,utilizing techniques such as substrate deformation and flow-induced *** investigate the properties of cells individually,many conventional techniques were utilized,such as AFM,optical traps/optical tweezers,magnetic beads,and micropipette *** specific mechanical interrogations,microelectro-mechanical systems(MEMS)have been designed to probe single cells in different interrogation *** exert loads on the cells,these devices often comprise piezo-electric driven actuators that attach directly to the cell or move a structure on which cells are *** and biaxial pullers,micropillars,and cantilever beams are examples of MEMS *** this review,the methodologies to analyze single cell activity under external loads using microfabricated devices will be *** will focus on the mechanical interrogation in three different regimes:compression,traction,and tension,and discuss different microfabricated platforms designed for these purposes.

关键词： BioMEMS Single cell mechanical properties Microdevices

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