Drug therapies for treating peripheral nerve injury repair have shown significant promise in preclinical studies. Despite this, drug treatments are not used routinely clinically to treat patients with peripheral nerve injuries. Drugs delivered systemically are often associated with adverse effects to other tissues and organs; it remains challenging to predict the effective concentration needed at an injured nerve and the appropriate delivery strategy. Local drug delivery approaches are being developed to mitigate this, for example via injections or biomaterial-mediated release. We propose the integration of mathematical modeling into the development of local drug delivery protocols for peripheral nerve injury repair. Mathematical models have the potential to inform understanding of the different transport mechanisms at play, as well as quantitative predictions around the efficacy of individual local delivery protocols. We discuss existing approaches in the literature, including drawing from other research fields, and present a process for taking forward an integrated mathematical-experimental approach to accelerate local drug delivery approaches for peripheral nerve injury repair. This article is categorized under: Neurological Diseases > Molecular and Cellular Physiology Neurological Diseases > Computational Models Neurological Diseases > Biomedical Engineering.
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http://dx.doi.org/10.1002/wsbm.1593 | DOI Listing |
Nat Commun
December 2024
Neuroengineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Peripheral neuropathy (PN), the most common complication of diabetes, leads to sensory loss and associated health issues as pain and increased fall risk. However, present treatments do not counteract sensory loss, but only partially manage its consequences. Electrical neural stimulation holds promise to restore sensations, but its efficacy and benefits in PN damaged nerves are yet unknown.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Biochemistry, Duke University School of Medicine, Durham, NC, 27710, USA.
The current opioid crisis urgently calls for developing non-addictive pain medications. Progress has been slow, highlighting the need to uncover targets with unique mechanisms of action. Extracellular adenosine alleviates pain by activating the adenosine A1 receptor (A1R).
View Article and Find Full Text PDFPlast Reconstr Surg
December 2024
The Peripheral Nerve Injury Service, University Hospitals Birmingham NHS Foundation Trust, UK.
Background: Transfer of the supinator motor branches to the posterior interosseous nerve (SPIN) was first described as a reliable method of restoration of digit extension in cases of paralysis when there is retained function in the 5th and 6th cervical nerve roots with loss of function in the 8th cervical nerve root.
Methods: We performed a retrospective review of all the SPIN transfers that were performed in our unit which included 16 limbs in 14 patients over a 6-year period. The median age was 49 years (range 22-74).
Front Immunol
December 2024
KU Leuven Department of Microbiology, Immunology and Transplantation, Allergy and Clinical Immunology Research Group, Leuven, Belgium.
Primary human mast cells (MC) obtained through culturing of blood-derived MC progenitors are the preferred model for the study of MRGPRX2- IgE-mediated MC activation. In order to assess the impact of culture conditions on functional MRGPRX2 expression, we cultured CD34-enriched PBMC from peripheral whole blood (PB) and buffy coat (BC) samples in MethoCult medium containing stem cell factor (SCF) and interleukin (IL)-3, modified through variations in seeding density and adding or withholding IL-6, IL-9 and fetal bovine serum (FBS). Functional expression of MRGPRX2 was assessed after 4 weeks via flow cytometry.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of Endocrinology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Objective: Diabetic peripheral neuropathy (DPN) is a chronic complication of diabetes that can potentially escalate into ulceration, amputation and other severe consequences. The aim of this study was to construct and validate a predictive nomogram model for assessing the risk of DPN development among diabetic patients, thereby facilitating the early identification of high-risk DPN individuals and mitigating the incidence of severe outcomes.
Methods: 1185 patients were included in this study from June 2020 to June 2023.
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