How to deal with the variability of peripheral nerve lesion patterns after inguinal herniotomy? A descriptive approach for a new terminology in clinical practice.

Background: Inguinal hernia is one of the most common visceral surgical conditions in industrialised countries. The aim of the present observational clinical study was to investigate the dermatome patterns after nerve injury following inguinal hernia surgery and to demonstrate the marked individual anatomical and topographical variability of peripheral nerves in the inguinal region.

Methods: 220 patients were followed up for one year after inguinal herniotomy.

[EMG phenomena of myogenic hyperexcitability].

The type, distribution pattern and time course of spontaneous muscular activity are important for the diagnostics of neuromuscular diseases in the clinical practice. In neurogenic lesions with motor axonal involvement, pathologic spontaneous activity (PSA) is usually reliably detectable by needle electromyography (EMG) 2-4 weeks after occurrence of the lesion. The distribution pattern correlates with the lesion location.

Epstein-Barr Virus-Induced Genes and Endogenous Retroviruses in Immortalized B Cells from Patients with Multiple Sclerosis.

The immune pathogenesis of multiple sclerosis (MS) is thought to be triggered by environmental factors in individuals with an unfavorable genetic predisposition. Epstein-Barr virus (EBV) infection is a major risk factor for subsequent development of MS. Human endogenous retroviruses (HERVs) can be activated by EBV, and might be a missing link between an initial EBV infection and the later onset of MS.

Automated Classification of Cellular Phenotypes Using Machine Learning in Cellprofiler and CellProfiler Analyst.

Cell images provide a multitude of phenotypic information, which in its entirety the human eye can hardly perceive. Automated image analysis and machine learning approaches enable the unbiased identification and analysis of cellular mechanisms and associated pathological effects. This protocol describes a customized image analysis pipeline that detects and quantifies changes in the localization of E-Cadherin and the morphology of adherens junctions using image-based measurements generated by CellProfiler and the machine learning functionality of CellProfiler Analyst.