A comparative study of branched and linear mannitol-based amphiphiles on membrane protein stability

Hussain, Hazrat,Helton, Tyler,Du, Yang,Mortensen, Jonas S.,Hariharan, Parameswaran,Ehsan, Muhammad,Byrne, Bernadette,Loland, Claus J.,Kobilka, Brian K.,Guan, Lan,Chae, Pil Seok The Royal Society of Chemistry 2018 The Analyst Vol.143 No.23

<P>The study of membrane proteins is extremely challenging, mainly because of the incompatibility of the hydrophobic surfaces of membrane proteins with an aqueous medium. Detergents are essential agents used to maintain membrane protein stability in non-native environments. However, conventional detergents fail to stabilize the native structures of many membrane proteins. Development of new amphipathic agents with enhanced efficacy for membrane protein stabilization is necessary to address this important problem. We have designed and synthesized linear and branched mannitol-based amphiphiles (MNAs), and comparative studies showed that most of the branched MNAs had advantages over the linear agents in terms of membrane protein stability. In addition, a couple of the new MNAs displayed favorable behaviors compared to <I>n</I>-dodecyl-β-d-maltoside and the previously developed MNAs in maintaining the native protein structures, indicating potential utility of these new agents in membrane protein study.</P>

Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines

LaTasha R. Swanson,Jennica L. Bellanca,Justin Helton 한국산업안전보건공단 산업안전보건연구원 2019 Safety and health at work Vol.10 No.4

Background: Collisions involving workers and mobile machines continue to be a major concern in underground coal mines. Over the last 30 years, these collisions have resulted in numerous injuries and fatalities. Recently, the Mine Safety and Health Administration (MSHA) proposed a rule that would require mines to equip mobile machines with proximity detection systems (PDSs) (systems designed for automated collision avoidance). Even though this regulation has not been enacted, some mines have installed PDSs on their scoops and hauling machines. However, early implementation of PDSs has introduced a variety of safety concerns. Past findings show that workers’ trust can affect technology integration and influence unsafe use of automated technologies. Methods: Using a mixed-methods approach, the present study explores the effect that factors such as mine of employment, age, experience, and system type have on workers’ trust in PDSs for mobile machines. The study also explores how workers are trained on PDSs and how this training influences trust. Results: The study resulted in three major findings. First, the mine of employment had a significant influence on workers’ trust in mobile PDSs. Second, hands-on and classroom training was the most common types of training. Finally, over 70% of workers are trained on the system by the mine compared with 36% trained by the system manufacturer. Conclusion: The influence of workers’ mine of employment on trust in PDSs may indicate that practitioners and researchers may need to give the organizational and physical characteristics of each mine careful consideration to ensure safe integration of automated systems.

Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines

Swanson, LaTasha R.,Bellanca, Jennica L.,Helton, Justin Occupational Safety and Health Research Institute 2019 Safety and health at work Vol.10 No.4

Background: Collisions involving workers and mobile machines continue to be a major concern in underground coal mines. Over the last 30 years, these collisions have resulted in numerous injuries and fatalities. Recently, the Mine Safety and Health Administration (MSHA) proposed a rule that would require mines to equip mobile machines with proximity detection systems (PDSs) (systems designed for automated collision avoidance). Even though this regulation has not been enacted, some mines have installed PDSs on their scoops and hauling machines. However, early implementation of PDSs has introduced a variety of safety concerns. Past findings show that workers' trust can affect technology integration and influence unsafe use of automated technologies. Methods: Using a mixed-methods approach, the present study explores the effect that factors such as mine of employment, age, experience, and system type have on workers' trust in PDSs for mobile machines. The study also explores how workers are trained on PDSs and how this training influences trust. Results: The study resulted in three major findings. First, the mine of employment had a significant influence on workers' trust in mobile PDSs. Second, hands-on and classroom training was the most common types of training. Finally, over 70% of workers are trained on the system by the mine compared with 36% trained by the system manufacturer. Conclusion: The influence of workers' mine of employment on trust in PDSs may indicate that practitioners and researchers may need to give the organizational and physical characteristics of each mine careful consideration to ensure safe integration of automated systems.

A Potential Role of Cholinergic Dysfunction on Impaired Colon Motility in Experimental Intestinal Chagas Disease

Mayra F Ricci,Samantha R Béla,Joana L Barbosa,Michele M Moraes,Ana L Mazzeti,Maria T Bahia,Laila S Horta,Helton da C Santiago,Jader S Cruz,Luciano dos S A Capettini,Rosa M E Arantes 대한소화기 기능성질환·운동학회 2022 Journal of Neurogastroenterology and Motility (JNM Vol.28 No.3

Background/AimsChagasic megacolon is caused by Trypanosoma cruzi, which promotes in several cases, irreversible segmental colonic dilation. This alteration is the major anatomic-clinical disorder, characterized by the enteric nervous system and muscle wall structural damage. Herein, we investigate how T. cruzi -induced progressive colonic structural changes modulate the colonic contractile pattern activity. MethodsWe developed a murine model of T. cruzi-infection that reproduced long-term modifications of the enlarged colon. We evaluated colonic and total intestinal transit time in animals. The patterns of motor response at several time intervals between the acute and chronic phases were evaluated using the organ bath assays. Enteric motor neurons were stimulated by electric field stimulation. The responses were analyzed in the presence of the nicotinic and muscarinic acetylcholine receptor antagonists. Western blot was performed to evaluate the expression of nicotinic and muscarinic receptors. The neurotransmitter expression was analyzed by real-time polymerase chain reaction. ResultsIn the chronic phase of infection, there was decreased intestinal motility associated with decreased amplitude and rhythmicity of intestinal contractility. Pharmacological tests suggested a defective response mediated by acetylcholine receptors. The contractile response induced by acetylcholine was decreased by atropine in the acute phase while the lack of its action in the chronic phase was associated with tissue damage, and decreased expression of choline acetyltransferase, nicotinic subunits of acetylcholine receptors, and neurotransmitters. ConclusionsT. cruzi -induced damage of smooth muscles was accompanied by motility disorders such as decreased intestinal peristalsis and cholinergic system response impairment. This study allows integration of the natural history of Chagasic megacolon motility disorders and opens new perspectives for the design of effective therapeutic.

Revisiting the utility of identifying nuclear grooves as unique nuclear changes by an object detector model

Pedro R. F. Rende,Joel Machado Pires,Kátia Sakimi Nakadaira,Sara Lopes,João Vale,Fabio Hecht,Fabyan E. L. Beltrão,Gabriel J. R. Machado,Edna T. Kimura,Catarina Eloy,Helton E. Ramos 대한병리학회 2024 Journal of Pathology and Translational Medicine Vol.58 No.3

Background: Among other structures, nuclear grooves are vastly found in papillary thyroid carcinoma (PTC). Considering that the application of artificial intelligence in thyroid cytology has potential for diagnostic routine, our goal was to develop a new supervised convolutional neural network capable of identifying nuclear grooves in Diff-Quik stained whole-slide images (WSI) obtained from thyroid fineneedle aspiration. Methods: We selected 22 Diff-Quik stained cytological slides with cytological diagnosis of PTC and concordant histological diagnosis. Each of the slides was scanned, forming a WSI. Images that contained the region of interest were obtained, followed by pre-formatting, annotation of the nuclear grooves and data augmentation techniques. The final dataset was divided into training and validation groups in a 7:3 ratio. Results: This is the first artificial intelligence model based on object detection applied to nuclear structures in thyroid cytopathology. A total of 7,255 images were obtained from 22 WSI, totaling 7,242 annotated nuclear grooves. The best model was obtained after it was submitted 15 times with the train dataset (14th epoch), with 67% true positives, 49.8% for sensitivity and 43.1% for predictive positive value. Conclusions: The model was able to develop a structure predictor rule, indicating that the application of an artificial intelligence model based on object detection in the identification of nuclear grooves is feasible. Associated with a reduction in interobserver variability and in time per slide, this demonstrates that nuclear evaluation constitutes one of the possibilities for refining the diagnosis through computational models.