Diosmetin Alleviates Cerebral Ischemia/Reperfusion Injury by Modulating Tryptophan Metabolism through the Microbiota-Gut-Brain Axis.

Cerebral ischemia-reperfusion (I/R) injury involves brain tissue damage caused by a temporary interruption of blood flow followed by reperfusion, leading to inflammation, oxidative stress, and neuronal death. Diosmetin, a flavonoid with known anti-inflammatory and antioxidant properties, has been shown to mitigate I/R injury, but its impact on systemic inflammation is not fully understood. In this study, we investigated its protective effects on I/R injury and the mechanisms mediated through the microbiota-gut-brain axis.

Structural characterization of two low-molecular-weight polysaccharides from the roots of Aucklandia lappa Decne. and their bioactivity on the gut microbiota of immunocompromised mice.

Polysaccharides have been drawing growing attention due to their potential biological properties and applications in the health industry. Aucklandia lappa Decne. not only exerts anti-inflammatory, anti-cancer, antibacterial, and other activities but also is rich in polysaccharides.

Role of the Rumen Epithelium and Associated Changes Under High-Concentrate Diets.

Increasing the proportion of concentrate in diets can effectively improve ruminant production, and is therefore widely used. However, high-concentrate diets (HCD) enriched with rapidly fermentable carbohydrates can accelerate the production of lactate and short-chain fatty acids (SCFAs). The accumulation of lactate and SCFAs in the rumen leads to a reduction in rumen fluid pH, potentially resulting in subacute rumen acidosis (SARA), which can decrease dry matter intake (DMI), induce local and systemic inflammation, and cause other negative impacts on the host.

A Novel Mobile Device-Based Approach to Quantitative Mobility Measurements for Power Wheelchair Users.

This study is motivated by the fact that there are currently no widely used applications available to quantitatively measure a power wheelchair user's mobility, which is an important indicator of quality of life. To address this issue, we propose an approach that allows power wheelchair users to use their own mobile devices, e.g.

Associations of gene polymorphisms with the development and clinical progression of benign prostatic hyperplasia: a case-control study in northern Chinese population.

This study aims to explore the effect of gene polymorphisms of 5a-reduction enzyme (), steroidogenic cytochrome P-450 17alpha-hydroxylase (), aromatase cytochrome P450 family 19 () and vita-min D receptor () on benign prostatic hyperplasia (BPH) susceptibility and clinical progress. A total of 452 BHP patients and 501 healthy individuals were selected in Harbin Medical University Daqing School from October 2014 and December 2015 as the case and control groups. All BPH patients received drug treatment and were subsequently divided into the progression and non-progression groups based on their therapeutic efficacy.

A novel mobile-cloud system for capturing and analyzing wheelchair maneuvering data: A pilot study.

The purpose of this pilot study was to provide a new approach for capturing and analyzing wheelchair maneuvering data, which are critical for evaluating wheelchair users' activity levels. We proposed a mobile-cloud (MC) system, which incorporated the emerging mobile and cloud computing technologies. The MC system employed smartphone sensors to collect wheelchair maneuvering data and transmit them to the cloud for storage and analysis.

Characterization of wheelchair maneuvers based on noisy inertial sensor data: a preliminary study.

A wheelchair user's activity and mobility level is an important indicator of his/her quality of life and health status. To assess the activity and mobility level, wheelchair maneuvering data must be captured and analyzed. Recently, the inertial sensors, such as accelerometers, have been used to collect wheelchair maneuvering data.

Development of intelligent model for personalized guidance on wheelchair tilt and recline usage for people with spinal cord injury: methodology and preliminary report.

Wheelchair tilt and recline functions are two of the most desirable features for relieving seating pressure to decrease the risk of pressure ulcers. The effective guidance on wheelchair tilt and recline usage is therefore critical to pressure ulcer prevention. The aim of this study was to demonstrate the feasibility of using machine learning techniques to construct an intelligent model to provide personalized guidance to individuals with spinal cord injury (SCI).

rs10505474 and rs7837328 at 8q24 cumulatively confer risk of prostate cancer in Northern Han Chinese.

Aims: Genome-wide association studies (GWAS) have identified several risk variants for prostate cancer (pCa) mainly in Europeans, which need to be further verified in other racial groups. We selected six previously identified variants as candidates and to define the association with PCa in Northern Han Chinese.

Methods: 749 subjects from Beijing and Tianjin in Northern China were included.

Capturing and analyzing wheelchair maneuvering patterns with mobile cloud computing.

Power wheelchairs have been widely used to provide independent mobility to people with disabilities. Despite great advancements in power wheelchair technology, research shows that wheelchair related accidents occur frequently. To ensure safe maneuverability, capturing wheelchair maneuvering patterns is fundamental to enable other research, such as safe robotic assistance for wheelchair users.

Towards an intelligent system for clinical guidance on wheelchair tilt and recline usage.

We propose to construct an intelligent system for clinical guidance on how to effectively use power wheelchair tilt and recline functions. The motivations fall into the following two aspects. (1) People with spinal cord injury (SCI) are vulnerable to pressure ulcers.

Development of intelligent model to determine favorable wheelchair tilt and recline angles for people with spinal cord injury.

Machine-learning techniques have found widespread applications in bioinformatics. Such techniques provide invaluable insight on understanding the complex biomedical mechanisms and predicting the optimal individualized intervention for patients. In our case, we are particularly interested in developing an individualized clinical guideline on wheelchair tilt and recline usage for people with spinal cord injury (SCI).