Sodium Binding Stabilizes the Outward-Open State of SERT by Limiting Bundle Domain Motions

The human serotonin transporter (hSERT) removes the neurotransmitter serotonin from the synaptic cleft by reuptake into the presynaptic nerve terminal. A number of neurologic diseases are associated with dysfunction of the hSERT, and several medications for their treatment are hSERT blockers, including citalopram, fluoxetine, and paroxetine. The substrate transport is energized by the high concentration of external NaCl. We showed through molecular dynamics simulations that the binding of NaCl stabilized the hSERT in the substrate-binding competent conformation, which was characterized by an open access path to the substrate-binding site through the outer vestibule. Importantly, the binding of NaCl reduced the dynamics of the hSERT by decreasing the internal fluctuations of the bundle domain as well as the movement of the bundle domain relative to the scaffold domain. In contrast, the presence of only the bound chloride ion did not reduce the high domain mobility of the apo state.

Encephalitic Arboviruses of Africa: Emergence, Clinical Presentation and Neuropathogenesis

Many mosquito-borne viruses (arboviruses) are endemic in Africa, contributing to systemic and neurological infections in various geographical locations on the continent. While most arboviral infections do not lead to neuroinvasive diseases of the central nervous system, neurologic diseases caused by arboviruses include flaccid paralysis, meningitis, encephalitis, myelitis, encephalomyelitis, neuritis, and post-infectious autoimmune or memory disorders. Here we review endemic members of the Flaviviridae and Togaviridae families that cause neurologic infections, their neuropathogenesis and host neuroimmunological responses in Africa. We also discuss the potential for neuroimmune responses to aide in the development of new diagnostics and therapeutics, and current knowledge gaps to be addressed by arbovirus research.

Characteristic of Bell’s Palsy in Clinical Neurologic at Sanglah Hospital Denpasar Bali Indonesia

Introduction/Aim: Bell's Palsy is a lower motor neuron facial weakness caused by idiopathic etiology with the absence of other neurologic diseases. The incidence of this syndrome is around 23 cases per 100,000 people each year. The clinical manifestations are sometimes being considered to be a stroke or tumor. This study was conducted to find characteristic of bell’s palsy in clinical neurologic at Sanglah Hospital Denpasar, Bali Indonesia Methods: This study is a descriptive study with a cross sectional design in polyclinic of Sanglah Hospital, Denpasar for the period 2016 to 2019. Sampling was carried out using a consecutive non-random sampling method. Result: A total of 31 subjects in rainy season 51.6% having female 61.3% and male 38.7%, with the range of age 46-55 years old. Most of the patients complaints the weakness of the right face 58.1%, postauricular pain 64.5%. Electroneuromyography examination with seddon classification having results of Neuropraxia 67.7%. Conclusion: Characteristic of bell’s palsy in clinical neurologic most of participant in woman with postauricular pain and neuropraxia Keywords: Bell's Palsy, neuropraxia, postauricular pain, seddon classification.

Synopsis of symptoms of COVID-19 during second wave of the pandemic in India

COVID-19 was caused by the original coronavirus, severe acute respiratory syndrome associated coronavirus-2 (SARS CoV2), which originated in Wuhan, China. COVID-19 had a large breakout of cases in early 2020, resulting in an epidemic that turned into a pandemic. This quickly enveloped the global healthcare system. The principal testing method for COVID-19 detection, according to the WHO, is reverse transcription polymerase chain reaction (RT-PCR). Isolation of patients, quarantine, masking, social distancing, sanitizer use, and complete lockdown were all vital health-care procedures for everyone. With the ‘new normal’ and vaccination programmes, the number of cases and recovered patients began to rise months later. The easing of restrictions during the plateau phase resulted in a rebound of instances, which hit the people with more ferocity and vengeance towards the start of April 2021. Coronaviruses have evolved to cause respiratory, enteric, hepatic, and neurologic diseases, resulting in a wide range of diseases and symptoms such as fever, cough, myalgia or fatigue, shortness of breath, muscle ache, headache, sore throat, rhinorrhea, hemoptysis, chest pain, nausea, vomiting, diarrhoea, anosmia, and ageusia. Coronavirus infections can be mild, moderate, or severe in intensity. COVID-19 pulmonary dysfunction includes lung edoema, ground-glass opacities, surfactant depletion, and alveolar collapse. Patients who presented with gastrointestinal (GI) symptoms such as anorexia, nausea, vomiting, or diarrhoea had a higher risk of negative outcomes. COVID-19’s influence on cognitive function is one of COVID-19’s long-term effects. More clinical situations need to be reviewed by healthcare professionals so that an appropriate management protocol may be developed to reduce morbidity and death in future coming third/fourth wave cases.

Microdialysis and microperfusion electrodes in neurologic disease monitoring

Contemporary biomarker collection techniques in blood and cerebrospinal fluid have to date offered only modest clinical insights into neurologic diseases such as epilepsy and glioma. Conversely, the collection of human electroencephalography (EEG) data has long been the standard of care in these patients, enabling individualized insights for therapy and revealing fundamental principles of human neurophysiology. Increasing interest exists in simultaneously measuring neurochemical biomarkers and electrophysiological data to enhance our understanding of human disease mechanisms. This review compares microdialysis, microperfusion, and implanted EEG probe architectures and performance parameters. Invasive consequences of probe implantation are also investigated along with the functional impact of biofouling. Finally, previously developed microdialysis electrodes and microperfusion electrodes are reviewed in preclinical and clinical settings. Critically, current and precedent microdialysis and microperfusion probes lack the ability to collect neurochemical data that is spatially and temporally coincident with EEG data derived from depth electrodes. This ultimately limits diagnostic and therapeutic progress in epilepsy and glioma research. However, this gap also provides a unique opportunity to create a dual-sensing technology that will provide unprecedented insights into the pathogenic mechanisms of human neurologic disease.

The Future of Endovascular Therapy

Purpose of the ReviewThis article summarizes a broad range of the most recent advances and future directions in stroke diagnostics, endovascular robotics, and neuromodulation.Recent FindingsIn the past 5 years, the field of interventional neurology has seen major technological advances for the diagnosis and treatment of cerebrovascular diseases. Several new technologies became available to aid in complex prehospital stroke triage, stroke diagnosis, and interpretation of radiologic findings. Robotics and neuromodulation promise to expand access to established treatments and broaden neuroendovascular indications.SummaryMobile applications offer a solution to simplify prehospital diagnostic and transfer decisions. Several prehospital devices are also under development to improve the accuracy of detection of large vessel occlusion (LVO). Artificial intelligence is now routinely used in early diagnosis of LVO and for detecting salvageability of the affected brain parenchyma. Technological advances have also paved the way to incorporate endovascular robotics and neuromodulation into practice. This may expand the deliverability of established treatments and facilitate the development of cutting-edge treatments for other complex neurologic diseases.

Neurologic Diagnostics in 2035

Innovations and advances in technologies over the past few years have yielded faster and wider diagnostic applications to patients with neurologic diseases. This article focuses on the foreseeable developments of the diagnostic tools available to the neurologist in the next 15 years. Clinical judgment is and will remain the cornerstone of the diagnostic process, assisted by novel technologies, such as artificial intelligence and machine learning. Future neurologists must be educated to develop, cultivate, and rely on their clinical skills, while becoming familiar with novel, often complex, assistive technologies.