Anisotropic chitosan micropatterning containing metformin functionalized calcium titanate (CaTiO3) nanoparticles for regulating dorsal root ganglion behavior

Wu, Linliang; Zheng, Tiantian; Guan, Wenchao; Han, Qi; Su, Huizhao; Wu, Ningling; Zhang, Linhui; Li, Guicai

doi:10.1016/j.surfin.2022.102414

Cited by 3 publications

(3 citation statements)

References 46 publications

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“…While there are studies showing that DRGNs align to and grow in response to biophysical cues [ 37 , 50 , 51 ], to our knowledge, it has not been established how rDRGNs, which have a distinct growth morphology and behavior compared to “naïve” DRGNs, respond to biophysical growth cues [ 40 , 52 ]. Thus, we first assessed rDRGN morphology and neurite alignment to the micropatterned substrate (Fig.…”

Section: Resultsmentioning

confidence: 99%

Sensitivity of CNN image analysis to multifaceted measurements of neurite growth

Vecchi,

Mullan,

Lopez

et al. 2023

BMC Bioinformatics

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Quantitative analysis of neurite growth and morphology is essential for understanding the determinants of neural development and regeneration, however, it is complicated by the labor-intensive process of measuring diverse parameters of neurite outgrowth. Consequently, automated approaches have been developed to study neurite morphology in a high-throughput and comprehensive manner. These approaches include computer-automated algorithms known as 'convolutional neural networks' (CNNs)—powerful models capable of learning complex tasks without the biases of hand-crafted models. Nevertheless, their complexity often relegates them to functioning as 'black boxes.' Therefore, research in the field of explainable AI is imperative to comprehend the relationship between CNN image analysis output and predefined morphological parameters of neurite growth in order to assess the applicability of these machine learning approaches. In this study, drawing inspiration from the field of automated feature selection, we investigate the correlation between quantified metrics of neurite morphology and the image analysis results from NeuriteNet—a CNN developed to analyze neurite growth. NeuriteNet accurately distinguishes images of neurite growth based on different treatment groups within two separate experimental systems. These systems differentiate between neurons cultured on different substrate conditions and neurons subjected to drug treatment inhibiting neurite outgrowth. By examining the model's function and patterns of activation underlying its classification decisions, we discover that NeuriteNet focuses on aspects of neuron morphology that represent quantifiable metrics distinguishing these groups. Additionally, it incorporates factors that are not encompassed by neuron morphology tracing analyses. NeuriteNet presents a novel tool ideally suited for screening morphological differences in heterogeneous neuron groups while also providing impetus for targeted follow-up studies.

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Section: Resultsmentioning

confidence: 99%

Sensitivity of CNN image analysis to multifaceted measurements of neurite growth

Vecchi,

Mullan,

Lopez

et al. 2023

BMC Bioinformatics

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“…There is an increasing consensus suggesting that bio-scaffolds can temporarily support cell and tissue growth, effectively reducing cavitation, and glial and fibrotic scar formation by occupying the lesion sites and limiting the invasion of inflammatory cells [2][3][4][5][6]. Among them, the multi-scale scaffolds ranging from nano to micro levels are especially crucial for nerve repair since their micro-architectural channels facilitate cell penetration and direct axonal outgrowth and extension [7][8][9]. The loose porous structure of these multi-scale scaffolds regulates mutual communication between the scaffold and cells in and around them through micro-and nanoscale features.…”

Section: Scaffold-based Tissue Engineering Technology Has Offered New...mentioning

confidence: 99%

Mussel shell-derived pro-regenerative scaffold with conductive porous multi-scale-patterned microenvironment for spinal cord injury repair

Yin,

Yang,

Liu

et al. 2024

Biomed. Mater.

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It is well-established that multi-scale porous scaffolds can guide axonal growth and facilitate functional restoration after spinal cord injury (SCI). In this study, we developed a novel mussel shell-inspired conductive scaffold for SCI repair with ease of production, multi-scale porous structure, high flexibility, and excellent biocompatibility. By utilizing the reducing properties of polydopamine, non-conductive graphene oxide (GO) was converted into conductive reduced graphene oxide (rGO) and crosslinked in situ within the mussel shells. In vitro experiments confirmed that this multi-scale porous Shell@PDA-GO could serve as structural cues for enhancing cell adhesion, differentiation, and maturation, as well as promoting the electrophysiological development of hippocampal neurons. After transplantation at the injury sites, the Shell@PDA-GO provided a pro-regenerative microenvironment, promoting endogenous neurogenesis, triggering neovascularization, and relieving glial fibrosis formation. Interestingly, the Shell@PDA-GO could induce the release of endogenous growth factors (NGF and NT-3), resulting in the complete regeneration of nerve fibers at 12 weeks. This work provides a feasible strategy for the exploration of conductive multi-scale patterned scaffold to repair SCI.

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“…Perovskite-structured metal titanate compounds, including calcium titanate (CaTiO 3 ), interest basic and applied researchers. It has been studied extensively for its structural, electric, and optical properties because of its versatility in structural transformations and applications in ferroelectric and dielectric ceramic materials, high-performance capacitors, sensors, and electroluminescent devices [ 29 ]. Due to its negative temperature coefficient is also known as an impressively chemically resistant n-type semiconductor, a ceramic dielectric with a high dielectric constant, and a thermal resistive element [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Facile construction of calcium titanate-loaded silk fibroin scaffolds hybrid frameworks for accelerating neuronal cell growth in peripheral nerve regeneration

Zhang¹,

Xu²,

Zhang³

et al. 2023

Heliyon

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Anisotropic chitosan micropatterning containing metformin functionalized calcium titanate (CaTiO3) nanoparticles for regulating dorsal root ganglion behavior

Cited by 3 publications

References 46 publications

Sensitivity of CNN image analysis to multifaceted measurements of neurite growth

Sensitivity of CNN image analysis to multifaceted measurements of neurite growth

Mussel shell-derived pro-regenerative scaffold with conductive porous multi-scale-patterned microenvironment for spinal cord injury repair

Facile construction of calcium titanate-loaded silk fibroin scaffolds hybrid frameworks for accelerating neuronal cell growth in peripheral nerve regeneration

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