Ciliated conical epithelial cell protrusions point towards a diagnosis of primary ciliary dyskinesia

BACKGROUND: Primary ciliary dyskinesia can result from a number of different ciliary defects that adversely affect ciliary function resulting markedly reduced or absent mucociliary clearance. Improvement in diagnostic testing is an area of current research. During diagnostic evaluation of PCD we observed ciliated conical protrusions from part of the apical surface of ciliated cells in those diagnosed with PCD. The aim of this study was to investigate if this abnormality was specific to PCD. METHODS: Epithelial edges from 67 consecutively diagnosed PCD patients, 67 patients consecutively referred for PCD diagnostic testing in whom PCD was excluded, 22 with asthma and 18 with Cystic Fibrosis (CF) were studied retrospectively in a blinded manner using light microscopy. RESULTS: Forty six out of 67 patients with PCD had ciliated conical epithelial protrusions, whereas none were seen in patients where PCD was excluded, or in patients with asthma or CF. The sensitivity, specificity, positive predictive value and negative predictive value for the presence of the ciliated conical protrusions to predict a diagnosis of PCD were 76.5, 100, 100 and 77% respectively. CONCLUSIONS: Characteristic ciliated conical protrusions from ciliated epithelial cells maybe a useful pointer to the diagnosis of PCD. However, their absence does not exclude the diagnosis of PCD

Enhancing the capabilities of fluid bed granulation through process automation and digitalisation

Developers, Data Scientists and Data Engineers (Dukart, et al., 2020). Drug manufacturing processes This paper describes a PAT-enabled, digitalised, and automated fluid bed granulation system. A multichannel Near-Infrared (NIR) spectrophotometer and a direct imaging particle size and shape analyser in constant dialogue with the SmartX no-code/low-code platform provide a ground-breaking process automation toolset now located at the Bernal Institute in the University of Limerick. Two sets of results are presented for this study, from two iterations of the Advance Dynamic Process Control (ADPC) controller application. The results demonstrate the direct measurement and control of the product’s critical quality attributes through digitality enabled feedback control of processing setpoints and parameters. The platform controlled the particle size more tightly compared to non-automated control and a more accurate measurement-driven process endpoint for moisture content was achieved. Implementing a digitally enabled control approach can significantly reduce batch to batch variation and greatly improve process performance and product consistency