67 research outputs found
Advancing gene therapies, methods, and technologies for Parkinson’s Disease and other neurological disorders
Introduction. Vector-based intracerebral gene therapies are being used to treat specific neurodegenerative conditions such as Parkinson’s Disease (PD). This review presents a basis for central nervous system (CNS) gene therapy treatments of neurodegenerative diseases such as PD, as well as the need for novel skill sets and health delivery strategies within the clinical neurosciences (neurology and neurosurgery) to meet future demand for such therapies.State of the art. Preclinical vector-based gene therapy approaches have been translated into clinical trials for PD and other neurodegenerative conditions. Unfortunately, such trials, and parallel efforts using other therapeutics, have yet to provide a breakthrough. Image-guided convection enhanced delivery (CED) optimises the parenchymal distribution of gene therapies applied within the CNS, and may ultimately provide such a breakthrough.Clinical implications. Currently, image-guided CED and gene therapy are not part of training programmes for most neurosurgeons and neurologists. As a result, few medical centres and hospitals have sufficiently experienced teams to participate in gene transfer clinical trials for PD or other neurological conditions. If CNS gene therapies prove to be efficacious for PD and/or other conditions, the demand for such treatments will overwhelm the available number of experienced clinical neuroscience teams and treatment centres.Future directions. Expanded indications and demand for CNS gene therapies will require a worldwide educational effort to supplement the training of clinical neuroscience practitioners. Initially, a limited number of Centres of Excellence will need to establish relevant educational training requirements and best practice for such therapeutic approaches. Advanced technologies, including robotics and artificial intelligence, are especially germane in this regard, and will expand the treatment team’s capabilities while assisting in the safe and timely care of those afflicted
Metabolomic biomarkers of pancreatic cancer: a meta-analysis study
Pancreatic cancer (PC) is an aggressive disease with high mortality rates,
however, there is no blood test for early detection and diagnosis of this disease.
Several research groups have reported on metabolomics based clinical investigations
to identify biomarkers of PC, however there is a lack of a centralized metabolite
biomarker repository that can be used for meta-analysis and biomarker validation.
Furthermore, since the incidence of PC is associated with metabolic syndrome and
Type 2 diabetes mellitus (T2DM), there is a need to uncouple these common metabolic
dysregulations that may otherwise diminish the clinical utility of metabolomic
biosignatures. Here, we attempted to externally replicate proposed metabolite
biomarkers of PC reported by several other groups in an independent group of PC
subjects. Our study design included a T2DM cohort that was used as a non-cancer
control and a separate cohort diagnosed with colorectal cancer (CRC), as a cancer
disease control to eliminate possible generic biomarkers of cancer. We used targeted
mass spectrometry for quantitation of literature-curated metabolite markers and
identified a biomarker panel that discriminates between normal controls (NC) and
PC patients with high accuracy. Further evaluation of our model with CRC, however,
showed a drop in specificity for the PC biomarker panel. Taken together, our study
underscores the need for a more robust study design for cancer biomarker studies so
as to maximize the translational value and clinical implementation.This work was supported by ACS IRG-92-152-17
pilot award number AWD4470404 to KU and AKC. The
authors would like to acknowledge the Metabolomics
Shared Resource in Georgetown University (Washington
DC, USA) partially supported by NIH/NCI/CCSG grant
P30-CA05100
GDNF and Parkinson's Disease : Where Next? A Summary from a Recent Workshop
The concept of repairing the brain with growth factors has been pursued for many years in a variety of neurodegenerative diseases including primarily Parkinson's disease (PD) using glial cell line-derived neurotrophic factor (GDNF). This neurotrophic factor was discovered in 1993 and shown to have selective effects on promoting survival and regeneration of certain populations of neurons including the dopaminergic nigrostriatal pathway. These observations led to a series of clinical trials in PD patients including using infusions or gene delivery of GDNF or the related growth factor, neurturin (NRTN). Initial studies, some of which were open label, suggested that this approach could be of value in PD when the agent was injected into the putamen rather than the cerebral ventricles. In subsequent double-blind, placebo-controlled trials, the most recent reporting in 2019, treatment with GDNF did not achieve its primary end point. As a result, there has been uncertainty as to whether GDNF (and by extrapolation, related GDNF family neurotrophic factors) has merit in the future treatment of PD. To critically appraise the existing work and its future, a special workshop was held to discuss and debate this issue. This paper is a summary of that meeting with recommendations on whether there is a future for this therapeutic approach and also what any future PD trial involving GDNF and other GDNF family neurotrophic factors should consider in its design.Peer reviewe
Gene Therapy for the Treatment of Parkinson’s Disease: The Nature of the Biologics Expands the Future Indications
Plasma metabolomic biomarkers accurately classify acute mild traumatic brain injury from controls.
New Experimental and Computational Tools for Drug Discovery: From Chemistry to Biology. Metabolomics, Pharmacokinetics, and Medicinal Chemistry. Part - IV.
Plasma 24-metabolite Panel Predicts Preclinical Transition to Clinical Stages of Alzheimer's Disease.
Response to “Technical approaches to reduce interference of Fetal calf serum derived RNA in the analysis of extracellular vesicle RNA from cultured cells”
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