Synthetic molecular motors typically take nanometer-scale steps through rectification of thermal motion. Here we propose Inchworm, a DNA-based motor that employs a pronounced power stroke to take micrometer-scale steps on a time scale of seconds, and we design, fabricate, and analyze the nanofluidic device needed to operate the motor. Inchworm is a kbp-long, double-stranded DNA confined inside a nanochannel in a stretched configuration. Motor stepping is achieved through externally controlled changes in salt concentration (changing the DNA's extension), coordinated with ligand-gated binding of the DNA's ends to the functionalized nanochannel surface. Brownian dynamics simulations predict that Inchworm's stall force is determined by its entropic spring constant and is ∼ 0.1 pN. Operation of the motor requires periodic cycling of four different buffers surrounding the DNA inside a nanochannel, while keeping constant the hydrodynamic load force on the DNA. We present a two-layer fluidic device incorporating 100 nm-radius nanochannels that are connected through a few-nm-wide slit to a microfluidic system used for in situ buffer exchanges, either diffusionally (zero flow) or with controlled hydrodynamic flow. Combining experiment with finite-element modeling, we demonstrate the device's key performance features and experimentally establish achievable Inchworm stepping times of the order of seconds or faster.
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http://dx.doi.org/10.1039/c4nr04701j | DOI Listing |
Alzheimers Dement
December 2024
Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Background: Recruiting and retaining older adults for clinical trials is challenging, especially in low-resource settings. Such challenges led to a systematic exclusion of such participants from clinical trials, compromising the generalizability of the results obtained in high income countries.
Objective: Here we describe the strategies we used in the PROAME study for recruiting and retaining illiterate older adults from low socioeconomical levels in a non-pharmacological trial.
Brain Behav
January 2025
Department of Neurology, Tianjin Kanghui Hospital, Tianjin, China.
Introduction: Stroke patients are at high risk of developing cerebral edema, which can have severe consequences. However, there are currently few effective tools for early identification or prediction of this risk. As machine learning (ML) is increasingly used in clinical practice, its effectiveness in predicting cerebral edema risk in stroke patients has been explored.
View Article and Find Full Text PDFFront Neurol
December 2024
Department of Neurology, Huai'an First People's Hospital, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Background: Cognitive decline following acute ischemic stroke (AIS), termed post-stroke cognitive impairment (PSCI), is a prevalent phenomenon that significantly elevates disability and mortality rates among affected patients. The objective of this investigation was to develop a robust clinical prediction model capable of forecasting PSCI within six months post-AIS and subsequently validate its effectiveness.
Methods: A cohort of 573 AIS patients was stratified into two groups: those with PSCI (260 cases) and those who remained cognitively normal (CN) (313 cases).
Cerebellum
January 2025
Clinical and Experimental Neuropsychology Laboratory, Faculty of Psychology, Geneva, Switzerland.
While deficits in episodic memory have been noted following cerebellar damage, there is a lack of research systematically exploring the socio-demographic and cognitive profiles of patients with such impairments. This study aimed to differentiate between chronic-phase cerebellar stroke patients with and without verbal episodic memory deficits, and to determine whether those with deficits exhibit distinct socio-demographic and clinical profiles, thereby identifying potential factors associated with these impairments. Data from 15 cerebellar stroke patients in the CEREBEMO cohort were analyzed, with participants categorized into two groups based on verbal episodic memory performance: deficits (n = 8) and no deficits (n = 7).
View Article and Find Full Text PDFEur J Appl Physiol
January 2025
Laboratoire de Pharm-Ecologie Cardiovasculaire (EA 4278), Université d'Avignon, 33 Rue Louis Pasteur, 84000, Avignon, France.
Purpose: The present study examined the influence of endurance training on the morphological and functional heart adaptations in young athletes throughout a longitudinal 9-month follow-up period during the adolescent peak height velocity (PHV).
Methods: Thirty-six 13- to 15-year-old males (twenty-three triathletes and thirteen untrained peers) were evaluated before and after a 9-month period during PHV. Maximal oxygen uptake ( ) and power at were assessed during incremental cycling test.
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