University of Düsseldorf

About: University of Düsseldorf is a education organization based out in Düsseldorf, Germany. It is known for research contribution in the topics: Population & Diabetes mellitus. The organization has 25225 authors who have published 49155 publications receiving 1946434 citations.

Guidelines for the diagnosis and outpatient management of diabetic peripheral neuropathy

Abstract: Guidelines on the out-patient management of diabetic peripheral neuropathy have been developed from an international consensus meeting attended by diabetologists, neurologists, primary care physicians, podiatrists and diabetes specialist nurses. A copy of the full document follows this summary (Appendix 1). The document arose out of suggestions from Neurodiab, a subgroup of the European Association for the Study of Diabetes, that there was a need for guidelines developed by consensus, for the outpatient management of patients with diabetic neuropathy. An international consensus group was created, chaired by two of the authors. A pilot working party met in 1995, followed by a full working party of 39 experts, neurologists and diabetes physicians (Appendix 2). This compiled a draft guideline document which was circulated to a number of international bodies. After consultation with its members, the final guidelines were approved by Neurodiab (chairman F.A. Gries) towards the end of 1997. © 1998 John Wiley & Sons, Ltd.

Computational models of schizophrenia and dopamine modulation in the prefrontal cortex

Abstract: Computational neuroscience models can be used to understand the diminished stability and noisy neurodynamical behaviour of prefrontal cortex networks in schizophrenia. These neurodynamical properties can be captured by simulated neural networks with randomly spiking neurons that introduce noise into the system and produce trial-by-trial variation of postsynaptic potentials. Theoretical and experimental studies have aimed to understand schizophrenia in relation to noise and signal-to-noise ratio, which are promising concepts for understanding the symptoms that characterize this heterogeneous illness. Simulations of biologically realistic neural networks show how the functioning of NMDA (N-methyl-d-aspartate), GABA (g-aminobutyric acid) and dopamine receptors is connected to the concepts of noise and variability, and to related neurophysiological findings and clinical symptoms in schizophrenia.

SARS-CoV-2 targets neurons of 3D human brain organoids.

Abstract: COVID-19 pandemic caused by SARS-CoV-2 infection is a public health emergency. COVID-19 typically exhibits respiratory illness. Unexpectedly, emerging clinical reports indicate that neurological symptoms continue to rise, suggesting detrimental effects of SARS-CoV-2 on the central nervous system (CNS). Here, we show that a Dusseldorf isolate of SARS-CoV-2 enters 3D human brain organoids within 2 days of exposure. We identified that SARS-CoV-2 preferably targets neurons of brain organoids. Imaging neurons of organoids reveal that SARS-CoV-2 exposure is associated with altered distribution of Tau from axons to soma, hyperphosphorylation, and apparent neuronal death. Our studies, therefore, provide initial insights into the potential neurotoxic effect of SARS-CoV-2 and emphasize that brain organoids could model CNS pathologies of COVID-19.