Brown tumour of the spine in a renal transplant patient

We report a 30-year-old male who had undergone a renal transplant and suffered with secondary hyperparathyroidism. He presented with back pain and minimal neurological deterioration, caused by a thoracic brown tumour. The imaging findings, surgical treatment of the spinal lesion and outcome are discussed. We also discuss primary medical therapy and suggest a rational approach to further imaging of patients in whom brown tumour is suspected.     

MiR-210: A potential therapeutic target against radiation-induced enteropathy

A previously undescribed and robust miR210 overexpression is shown in intestinal samples obtained from patients with radiation enteropathy and fibrotic cultured cells. In addition, miR-210 overexpression is repressed by antifibrotic treatment combining pentoxifylline and α-tocopherol.     

Sister Mary Joseph��s nodule as a first sign of pancreatic cancer

Sister Mary Joseph’s nodule (SMJN) refers to a metastatic tumor of the umbilicus. It is a rare entity which arises from a malignancy in the intra-abdominal cavity. We herein describe a patient who presented with SMJN as his first sign of pancreatic cancer. It is an even more unusual case of SMJN. We therefore, suggest that pancreatic cancer should be included in the differential diagnosis when an umbilical mass is found. With the progress made in surgical procedures and other modalities, an early diagnosis will dramatically improve the prognosis of the patients.     

Combined Use of Modal Analysis and Machine Learning for Materials Classification

The present study deals with modal work that is a type of framework for structural dynamic testing of linear structures. Modal analysis is a powerful tool that works on the modal parameters to ensure the safety of materials and eliminate the failure possibilities. The concept of classification through this study is validated for isotropic and orthotropic materials, reaching up to a 100% accuracy when deploying the machine learning approach between the mode number and the associated frequency of the interrelated variables that were extracted from modal analysis performed by ANSYS. This study shows a new classification method dependent only on the knowledge of resonance frequency of a specific material and opens new directions for future developments to create a single device that can identify and classify different engineering materials.     

Seladin-1 is a novel lipopolysaccharide (LPS)-responsive gene and inhibits the tumour necrosis factor-�� production and osteoclast formation in response to LPS

Selective Alzheimer disease indicator‐1 (seladin‐1) is a broadly expressed oxidoreductase and is related to Alzheimer disease, cholesterol metabolism and carcinogenesis. The effect of lipopolysaccharide (LPS) on the expression of seladin‐1 was examined using RAW 264.7 macrophage‐like cells and murine peritoneal macrophages. Lipopolysaccharide induced the expression of seladin‐1 protein and messenger RNA in those macrophages. The seladin‐1 expression was also augmented by a series of Toll‐like receptor ligands. The LPS augmented the expression of seladin‐1 via reactive oxygen species generation and p38 activation. Seladin‐1 inhibited LPS‐induced activation of p38 but not nuclear factor‐κB and inhibited the production of tumour necrosis factor‐α in response to LPS. Moreover, seladin‐1 inhibited LPS‐induced osteoclast formation and enhanced LPS‐induced alkaline phosphatase activity. Therefore, it was suggested that seladin‐1 might be an LPS‐responsible gene product and regulate the LPS‐induced inflammatory response negatively.