Dataset Information

A new approach to analyzing regenerated bone quality in the mouse digit amputation model using semi-automatic processing of microCT data.

ABSTRACT: Bone regeneration is a critical area of research impacting treatment of diseases such as osteoporosis, age-related decline, and orthopaedic implants. A crucial question in bone regeneration is that of bone architectural quality, or how "good" is the regenerated bone tissue structurally? Current methods address typical long bone architecture, however there exists a need for improved ability to quantify structurally relevant parameters of bone in non-standard bone shapes. Here we present a new analysis approach based on open-source semi-automatic methods combining image processing, solid modeling, and numerical calculations to analyze bone tissue at a more granular level using ?CT image data from a mouse digit model of bone regeneration. Examining interior architecture, growth patterning, spatial mineral content, and mineral density distribution, these methods are then applied to two types of 6-month old mouse digits - 1) those prior to amputation injury (unamputated) and 2) those 42?days after amputation when bone has regenerated. Results show regenerated digits exhibit increased inner void fraction, decreased patterning, different patterns of spatial mineral distribution, and increased mineral density values when compared to unamputated bone. Our approach demonstrates the utility of this new analysis technique in assessment of non-standard bone models, such as the regenerated bone of the digit, and aims to bring a deeper level of analysis with an open-source, integrative platform to the greater bone community.

SUBMITTER: Hoffseth KF

PROVIDER: S-EPMC7906109 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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A new approach to analyzing regenerated bone quality in the mouse digit amputation model using semi-automatic processing of microCT data.

Hoffseth Kevin F KF Simkin Jennifer J Busse Emily E Stewart Kennon K Watt James J Chapple Andrew A Hargrove Aaron A Sammarco Mimi C MC

Bone 20201202

Bone regeneration is a critical area of research impacting treatment of diseases such as osteoporosis, age-related decline, and orthopaedic implants. A crucial question in bone regeneration is that of bone architectural quality, or how "good" is the regenerated bone tissue structurally? Current methods address typical long bone architecture, however there exists a need for improved ability to quantify structurally relevant parameters of bone in non-standard bone shapes. Here we present a new ana ...[more]

PMID: 33276153

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Project description:Purpose: Repair of distal phalanx amputation is widely studied and thought to occur through a regenerative process. Single-cell RNA sequencing (scRNA) has greatly improved the ability to characterize the cells that are involved in regeneration and abnormal healing of bone and soft tissue. Given the disorganized architecture of digit tip “regenerated” bone and its common progenitor cell to the pathologic process of heterotopic ossification, we hypothesized that digit tip repair after injury follows a program of aberrant wound repair rather than true regeneration of normal bone tissue. Methods: ScRNA data of mouse digit tip amputation (DTA) and embryonic limb development (EMB) was downloaded from NBCI GEO data base ascension number GSE135985. Additionally, scRNA data from heterotopic ossification (HO) was downloaded from GSE126060. HO, DTA, and EMB datasets were clustered individually. HO was merged and aligned with EMB and DT in separate analyses. Cells expressing the mesenchymal progenitor cell (MPC) marker Pdgfra, which we have shown to differentiate into HO and others have shown to differentiate into bone after DTA, were identified and analyzed in the HO-DTA and HO-EMB datasets. Monocle 2, Seurat 3.1.1, and Pearson correlation analysis were used for analysis and visualization. Immunostaining for markers present in DTA (ACAN, FBN-2, LTBP2) was performed on sections collected from a murine model of traumatic HO in Pdgfra-CreER;TdTomato mice induced with tamoxifen one-week prior to HO-forming injury. Results: MPC clusters from DTA and HO and from EMB and HO were aligned and projected using UMAP to compare transcription profiles. Across the timepoints, MPCs in the DTA and HO occupy similar regions of the UMAP plot, while MPCs in EMB and HO occupy largely independent regions, with only overlap at the latest time points. Using Monocle 2, cells were placed on a virtual timeline based on similarities in transcription. MPCs from DTA and HO meet at the same location on the trajectory following injury. In the EMB to HO comparison, cells only occupy similar regions of the trajectory at post-natal day 3 suggesting that bone is formed by different pathways. To understand correlations between time points, transcriptomes were also compared by Pearson analysis. MPCs following HO and DTA injuries occupy similar regions of the plot while MPCs in EMB and HO only occupy similar regions of the correlation plot at P3. Markers previously identified to be upregulated in MPCs in DTA were also upregulated in MPCs in HO by both scRNA and immunofluorescent histology. Conclusions: Cells responsible for bone repair following DTA show similar transcriptional profiles as MPCs in traumatic HO and dissimilar to MPCs in EMB. Furthermore, MPCs in both digit tip repair and HO follow trajectories that do not overlap with embryonic limb development. Thus, we demonstrate for the first time, that the process following DTA is not truly regeneration and follows programs of aberrant repair as seen in HO.

Project description:Motion analysis of the hyoid bone via videofluoroscopic study has been used in clinical research, but the classical manual tracking method is generally labor intensive and time consuming. Although some automatic tracking methods have been developed, masked points could not be tracked and smoothing and segmentation, which are necessary for functional motion analysis prior to registration, were not provided by the previous software. We developed software to track the hyoid bone motion semi-automatically. It works even in the situation where the hyoid bone is masked by the mandible and has been validated in dysphagia patients with stroke. In addition, we added the function of semi-automatic smoothing and segmentation. A total of 30 patients' data were used to develop the software, and data collected from 17 patients were used for validation, of which the trajectories of 8 patients were partly masked. Pearson correlation coefficients between the manual and automatic tracking are high and statistically significant (0.942 to 0.991, P-value<0.0001). Relative errors between automatic tracking and manual tracking in terms of the x-axis, y-axis and 2D range of hyoid bone excursion range from 3.3% to 9.2%. We also developed an automatic method to segment each hyoid bone trajectory into four phases (elevation phase, anterior movement phase, descending phase and returning phase). The semi-automatic hyoid bone tracking from VFSS data by our software is valid compared to the conventional manual tracking method. In addition, the ability of automatic indication to switch the automatic mode to manual mode in extreme cases and calibration without attaching the radiopaque object is convenient and useful for users. Semi-automatic smoothing and segmentation provide further information for functional motion analysis which is beneficial to further statistical analysis such as functional classification and prognostication for dysphagia. Therefore, this software could provide the researchers in the field of dysphagia with a convenient, useful, and all-in-one platform for analyzing the hyoid bone motion. Further development of our method to track the other swallowing related structures or objects such as epiglottis and bolus and to carry out the 2D curve registration may be needed for a more comprehensive functional data analysis for dysphagia with big data.

Dataset Information

A new approach to analyzing regenerated bone quality in the mouse digit amputation model using semi-automatic processing of microCT data.

Publications

A new approach to analyzing regenerated bone quality in the mouse digit amputation model using semi-automatic processing of microCT data.

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