ArticleAPL bioengineering2019
Disease-directed engineering for physiology-driven treatment interventions in neurological disorders.
Article in APL bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Analysis of PEG-lipid anchor length on lipid nanoparticle pharmacokinetics and activity in a mouse model of traumatic brain injury.Biomaterials science · 2023Article
- Measurement Property Evaluation of the Arabic Version of the Patient-Specific Functional Scale for Patients with Stroke.Healthcare (Basel, Switzerland) · 2023Article
- Neuro-nanotechnology: diagnostic and therapeutic nano-based strategies in applied neuroscience.Biomedical engineering online · 2023Review
- Cross-Regional Data Initiative for the Assessment and Development of Treatment for Neurological and Mental Disorders.Clinical epidemiology · 2023Article
- Demand Coupling Drives Neurodegeneration: A Model of Age-Related Cognitive Decline and Dementia.Cells · 2022Review
- Nanotherapeutics and the Brain.Annual review of chemical and biomolecular engineering · 2022Review
- Governing Transport Principles for Nanotherapeutic Application in the Brain.Current opinion in chemical engineering · 2020Article
- Nanoparticle-microglial interaction in the ischemic brain is modulated by injury duration and treatment.Bioengineering & translational medicine · 2020Article
- Variability and sex-dependence of hypothermic neuroprotection in a rat model of neonatal hypoxic-ischaemic brain injury: a single laboratory meta-analysis.Scientific reports · 2020Article
- Nanotherapeutic modulation of excitotoxicity and oxidative stress in acute brain injury.NanobiomedicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Neurological disease is killing us. While there have long been attempts to develop therapies for both acute and chronic neurological diseases, no current treatments are curative. Additionally, therapeutic development for neurological disease takes 15 years and often costs several billion dollars. More than 96% of these therapies will fail in late stage clinical trials. Engineering novel treatment interventions for neurological disease can improve outcomes and quality of life for millions; however, therapeutics should be designed with the underlying physiology and pathology in mind. In this perspective, we aim to unpack the importance of, and need to understand, the physiology of neurological disease. We first dive into the normal physiological considerations that should guide experimental design, and then assess the pathophysiological factors of acute and chronic neurological disease that should direct treatment design. We provide an analysis of a nanobased therapeutic intervention that proved successful in translation due to incorporation of physiology at all stages of the research process. We also provide an opinion on the importance of keeping a high-level view to designing and administering treatment interventions. Finally, we close with an implementation strategy for applying a disease-directed engineering approach. Our assessment encourages embracing the complexity of neurological disease, as well as increasing efforts to provide system-level thinking in our development of therapeutics for neurological disease.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.