Chemotaxonomic investigation of plant terpenoids with an established database (TeroMOL)

Terpenoids constitute the biggest class of plant-derived natural products with diverse chemical structures and extensive biological activities. Interpreting enzyme functions and mining new structures of terpenoids could be inspired by the cheminformatic and chemotaxonomic analysis, whereas it is hampered by the incompleteness of available data for terpenoids. Here a dedicated terpenoids database, TeroMOL, is developed to collect more than 170 000 terpenoids and their derivatives annotated with reported biological sources, along with a user-friendly and freely accessible webserver to visualise and analyse the terpenoids skeletons and organism sources. The quantitative distributions as well as the qualitative trends between terpenoid skeletons and organism sources in plant kingdom are revealed from a chemotaxonomic view, while no comparisons are attempted due to the inherent data biases. Nevertheless, the terpenoid chemomarkers in several organisms are discussed based on the available data with highly enriched and exclusive carbon skeletons. We believe that the TeroMOL database and its accessory computational tools will be very promising for exploring the chemical space and biological sources of terpenoids, and assisting the terpenoid research community in the future.

Bone mineral density, mechanical properties, and trabecular orientation of cancellous bone within humeral heads affected by advanced shoulder arthropathy

The mechanical properties of cancellous bone in the humeral head are increasingly interesting due to the increased popularity of stemless prosthetic fixation in the cancellous bone of the metaphysis. Age or pathology-related systemic osteoporosis, inactivity, or pathology of the shoulder joint may influence the primary bonding of implants that rely on good cancellous bone quality. We assessed the bone mineral density (BMD) and anisotropy using micro-computed tomography (micro-CT) (0.04 mm voxel size) and correlated the results with indentation load/displacement response. Resected parts of humeral heads (from patients undergoing total shoulder replacement, n = 18) were used as probes. The region of interest was defined as 2 mm medial from the resection plane, presuming that it mirrored the bone quality lateral to the resection plane. The indentation tests were performed with a large probe (diameter 10 mm) in a single destructive loading procedure. The BMD and trabecular orientation were determined by micro-CT. Our results showed a correlation between the BMD and the slope of the load/displacement curve. Furthermore, the trabeculae were predominantly oriented orthogonal to the joint surface. In conclusion, the predominant factor determining the bone quality and mechanical resistance to pressure appears to be the BMD, while trabecular orientation could not be related to load/displacement response. Statement of clinical significance: Bone quality predominately determines the mechanical properties of cancellous bone. This might be crucial when prosthetic implants need to be anchored in metaphyseal bone. Therefore, clinical decision-making processes should also include local BMD measurements.

Region growing algorithm combined with morphology and skeleton analysis for segmenting airway tree in CT images

BACKGROUND

Automatic segmentation of pulmonary airway tree is a challenging task in many clinical applications, including developing computer-aided detection and diagnosis schemes of lung diseases.

OBJECTIVE

To segment the pulmonary airway tree from the computed tomography (CT) chest images using a novel automatic method proposed in this study.

METHODS

This method combines a two-pass region growing algorithm with gray-scale morphological reconstruction and leakage elimination. The first-pass region growing is implemented to obtain a rough airway tree. The second-pass region growing and gray-scale morphological reconstruction are used to detect the distal airways. Finally, leakage detection is performed to remove leakage and refine the airway tree.

RESULTS

Our methods were compared with the gold standards. Forty-five clinical CT lung image scan cases were used in the experiments. Statistics on tree division order, branch number, and airway length were adopted for evaluation. The proposed method detected up to 12 generations of bronchi. On average, 148.85 branches were extracted with a false positive rate of 0.75%.

CONCLUSIONS

The results show that our method is accurate for pulmonary airway tree segmentation. The strategy of separating the leakage detection from the segmenting process is feasible and promising for ensuring a high branch detected rate with a low leakage volume.