Golgi α-mannosidase: opposing structures of Drosophila melanogaster and novel human model using molecular dynamics simulations and docking at different pHs

The search for Golgi α-mannosidase II (GMII) potent and specific inhibitors has been a focus of many studies for the past three decades since this enzyme is a key target for cancer treatment. α-Mannosidases, such as those from Drosophila melanogaster or Jack bean, have been used as functional models of the human Golgi α-mannosidase II (hGMII) because mammalian mannosidases are difficult to purify and characterize experimentally. Meanwhile, computational studies have been seen as privileged tools able to explore assertive solutions to specific enzymes, providing molecular details of these macromolecules, their protonation states and their interactions. Thus, modelling techniques can successfully predict hGMII 3D structure with high confidence, speeding up the development of new hits. In this study, Drosophila melanogaster Golgi mannosidase II (dGMII) and a novel human model, developed in silico and equilibrated via molecular dynamics simulations, were both opposed for docking. Our findings highlight that the design of novel inhibitors should be carried out considering the human model's characteristics and the enzyme operating pH. A reliable model is evidenced, showing a good correlation between Ki/IC50 experimental data and theoretical ΔGbinding estimations in GMII, opening the possibility of optimizing the rational drug design of new derivatives.Communicated by Ramaswamy H. Sarma.

The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability

Degree of luminal stenosis is generally considered to be an important indicator for judging the risk of atherosclerosis burden. However, patients with the same or similar degree of stenosis may have significant differences in plaque morphology and biomechanical factors. This study investigated three patients with carotid atherosclerosis within a similar range of stenosis. Using our developed fluid-structure interaction (FSI) modelling method, this study analyzed and compared the morphological and biomechanical parameters of the three patients. Although their degrees of carotid stenosis were similar, the plaque components showed a significant difference. The distribution range of time-averaged wall shear stress (TAWSS) of patient 2 was wider than that of patient 1 and patient 3. Patient 2 also had a much smaller plaque stress compared to the other two patients. There were significant differences in TAWSS and plaque stresses among three patients. This study suggests that plaque vulnerability is not determined by a single morphological factor, but rather by the combined structure. It is necessary to transform the morphological assessment into a structural assessment of the risk of plaque rupture.

LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems

As innovative technologies emerge, extensive research has been undertaken to develop new structural health monitoring procedures. The current methods, involving on-site visual inspections, have proven to be costly, time-consuming, labor-intensive, and highly subjective for assessing the safety and integrity of civil infrastructures. Mobile and stationary LiDAR (Light Detection and Ranging) devices have significant potential for damage detection, as the scans provide detailed geometric information about the structures being evaluated. This paper reviews the recent developments for LiDAR-based structural health monitoring, in particular, for detecting cracks, deformation, defects, or changes to structures over time. In this regard, mobile laser scanning (MLS) and terrestrial laser scanning (TLS), specific to structural health monitoring, were reviewed for a wide range of civil infrastructure systems, including bridges, roads and pavements, tunnels and arch structures, post-disaster reconnaissance, historical and heritage structures, roofs, and retaining walls. Finally, the existing limitations and future research directions of LiDAR technology for structural health monitoring are discussed in detail.

Structural brain assessment of temporal lobe epilepsy based on voxel-based and surface-based morphological features

AIM OF THE STUDY

This study aimed to assess the cerebral voxel-based and surface-based morphological abnormalities of patients with temporal lobe epilepsy (TLE).

MATERIALS AND METHODS

A total of 100 healthy adults and 73 patients with TLE were enrolled in this study, and their 3D T1-weighted MRI data were collected. Voxel-based morphology (VBM) and surface-based morphology (SBM) tools were used to compare the morphological differences between healthy adults and patients with TLE. Receiver-operating characteristic (ROC) curves were used to acquire the boundary values for detecting morphological abnormalities in regions of interest from the corrected VBM and SBM analysis.

RESULTS

Our results showed that cortical voxels and decreased thickness areas were located in the widespread cortex and subcortical structures in the TLE group. However, after completing the analysis, we found that the left-TLE lesions were limited to the left temporal pole and left hippocampus, while the right-TLE lesions were located in the bilateral medial temporal lobe, including the right hippocampus and bilateral amygdala. ROC-curve results showed that the volume of the left hippocampus at 4,124.45 mm3 and the thickness of the left temporal pole cortex at 3.50 mm could be used as optimal boundary values based on the curves of the left-TLE group. The right-TLE group curves were poor.

CONCLUSIONS

Widespread cerebral morphological TLE abnormalities were represented in this study. However, the lesions may be limited after completing a corrected comparison with clinical information. Boundary values of left-TLE group lesions were also obtained.

Evaluation of early musculoskeletal disease in patients with haemophilia: results from an expert consensus

: Early joint damage in patients with haemarthrosis often escapes diagnosis because of insufficient investigation of biomechanical changes. Arthropathy in haemophilia requires complex assessment with several tools. Considering the increased emphasis on an integrated approach to musculoskeletal (MSK) outcomes, re-evaluation of MSK assessment to address individual patient needs is warranted. To advise on the optimal use of current assessment tools and strategies for tailored MSK evaluation in patients with haemophilia. A panel of experts in haemophilic arthropathy evaluated internationally recognized assessment tools through published literature and personal expertise. Each tool was considered, scored and ranked for their utility in the clinical assessment of MSK damage. Subsequently, a patient evaluation table detailing advice on type and frequency of assessments for different patient populations was constructed. To obtain a complete MSK assessment, multiple tools must be used to ensure each criterion is evaluated. For patients with haemophilia, clinical examination of the joint, disease-specific structure/function scores, and activity/participation scores including quality of life are important, and should be performed on a regular basis according to age and clinical condition. Joint imaging is recommended in the prevention, diagnosis and follow-up of haemophilic arthropathy and should be used in conjunction with joint structure and function scores. An integrated approach to MSK assessment using combinations of tools will allow earlier management of dysfunction and may improve long-term outcomes. This approach could be used in long-term follow-up of all patients independent of age and disease stage, especially in children to prevent arthropathy.

Conventional Structural Magnetic Resonance Imaging in Differentiating Chronic Disorders of Consciousness

Differential diagnosis of unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS) is one of the most challenging problems for specialists who deal with chronic disorders of consciousness (DOC). The aim of the current study was to develop a conventional MRI-based scale and to evaluate its role in distinguishing chronic disorders of consciousness (Disorders of Consciousness MRI-based Distinguishing Scale, DOC-MRIDS). Data were acquired from 30 patients with clinically diagnosed chronic disorders of consciousness. All patients underwent conventional MRI using a Siemens Verio 3.0 T scanner, which included T2 and T1 sequences for patient assessment. Diffuse cortical atrophy, ventricular enlargement, sulcal widening, leukoaraiosis, brainstem and/or thalamus degeneration, corpus callosum degeneration, and corpus callosum lesions were assessed according to DOC-MRIDS criteria, with a total score calculation. The ROC-analysis showed that a reasonable threshold DOC-MRIDS total score was 5.5, that is, patients with DOC-MRIDS total score of 6 and above were classified as UWS and 5 and below as MCS, with sensitivity of 82.4% and specificity of 92.3%. The novel structural MRI-based scale for the assessment of typical brain lesions in patients with chronic DOC is relatively easy to apply, and provides good specificity and sensitivity values for discrimination between UWS and MCS.

Seismic and Restoration Assessment of Monumental Masonry Structures

Masonry structures are complex systems that require detailed knowledge and information regarding their response under seismic excitations. Appropriate modelling of a masonry structure is a prerequisite for a reliable earthquake-resistant design and/or assessment. However, modelling a real structure with a robust quantitative (mathematical) representation is a very difficult, complex and computationally-demanding task. The paper herein presents a new stochastic computational framework for earthquake-resistant design of masonry structural systems. The proposed framework is based on the probabilistic behavior of crucial parameters, such as material strength and seismic characteristics, and utilizes fragility analysis based on different failure criteria for the masonry material. The application of the proposed methodology is illustrated in the case of a historical and monumental masonry structure, namely the assessment of the seismic vulnerability of the Kaisariani Monastery, a byzantine church that was built in Athens, Greece, at the end of the 11th to the beginning of the 12th century. Useful conclusions are drawn regarding the effectiveness of the intervention techniques used for the reduction of the vulnerability of the case-study structure, by means of comparison of the results obtained.