Effectiveness of low-load resistance training with blood flow restriction vs. conventional high-intensity resistance training in older people diagnosed with sarcopenia: a randomized controlled trial.

Low-load resistance training with blood flow restriction (LRT-BFR) has shown potential to improve muscle strength and mass in different populations; however, there remains limited evidence in sarcopenic people diagnosed with sarcopenia criteria. This study systematically compared the effectiveness of LRT-BFR and conventional high-intensity resistance training (CRT) on clinical muscle outcomes (muscle mass, strength and performance), cardiovascular disease (CVD) risk factors and sarcopenia-related biomarkers of older people with sarcopenia. Twenty-one older individuals (aged 65 years and older) diagnosed with sarcopenia were randomly assigned to the LRT-BFR (20%-30% one-repetition maximum (1RM), n = 10) or CRT (60%-70% 1RM, n = 11) group.

Protective effect of baicalin on oxidative stress injury in retinal ganglion cells through the JAK/STAT signaling pathway and .

Background And Purpose: The damage or apoptosis of retinal ganglion cells (RGCs) is one of the leading causes of various blinding eye diseases, such as glaucoma, diabetic retinopathy, optic neuritis, and ischemic optic neuropathy. Oxidative stress is involved in RGCs death. Baicalin, a flavonoid compound extracted from Scutellaria baicalensis, has various beneficial effects, including anti-inflammatory, anti-apoptotic, and antioxidant properties.

1-Year Clinical Outcomes and the Impact of Procedural Configurations in Left Atrial Appendage Occlusion Patients.

Background: The clinical performance of left atrial appendage occlusion (LAAO) as a procedure and the long-term impact of its varied implantation configurations and anticoagulation regimens remain unclear.

Objectives: This study sought to provide data in routine practice from a prospective multicenter registry.

Methods: A total of 3,096 consecutive patients from 39 Chinese centers undergoing LAAO were enrolled between April 1, 2019, and October 31, 2020.

Physics-guided deep learning-based real-time image reconstruction of Fourier-domain optical coherence tomography.

In this paper, we introduce a physics-guided deep learning approach for high-quality, real-time Fourier-domain optical coherence tomography (FD-OCT) image reconstruction. Unlike traditional supervised deep learning methods, the proposed method employs unsupervised learning. It leverages the underlying OCT imaging physics to guide the neural networks, which could thus generate high-quality images and provide a physically sound solution to the original problem.

Circ_0001068 accelerates the development of ovarian cancer by promoting FXYD5 expression through inhibiting mir-149-5p activity.

Background: Ovarian cancer (OC) is one of the common malignancies of the female reproductive organs. Microarray analysis shows that circ_0001068 is upregulated in OC patients, however, its carcinogenic effect on OC development has not yet been revealed.

Methods: In this study, qRT-PCR and western blotting were used to determine the expression of circ_0001068, microRNA-149-5p (miR-149-5p) and domain containing ion transport regulator 5 (FXYD5).

Integrated cerebellar radiomic-network model for predicting mild cognitive impairment in Alzheimer's disease.

Introduction: Pathological and neuroimaging alterations in the cerebellum of Alzheimer's disease (AD) patients have been documented. However, the role of cerebellum-derived radiomic and structural connectome modeling in the prediction of AD progression remains unclear.

Methods: Radiomic features were extracted from magnetic resonance imaging (MRI) in the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset (n = 1319) and an in-house dataset (n = 308).

Ciprofol versus propofol for anesthesia induction in cardiac surgery: a randomized double-blind controlled clinical trial.

Background: Ciprofol, a novel intravenous general anesthetic with a chemical structure similar to propofol, exhibits significantly enhanced potency. It offers a rapid onset, reduced incidence of injection pain, and has comparable effects on heart rate and blood pressure to propofol. However, clinical data on its use for anesthesia induction in cardiac surgery remain limited.

Prediction of dialysis adequacy using data-driven machine learning algorithms.

Background: Adequate delivery of hemodialysis (HD), measured by the spKt/V derived from urea reduction, is an important determinant of clinical outcomes in chronic hemodialysis patients. However, the need for pre- and postdialysis blood samples prevented the assessment of spKt/V in every session.

Methods: This retrospective single-center study was performed on end-stage renal disease (ESKD) patients aged ≥ 18 years who received standard thrice-weekly chronic HD therapy.

A multimodal imaging approach to investigate retinal oxygen and vascular dynamics, and neural dysfunction in bietti crystalline dystrophy.

Background: This study aimed to explore retinal changes in Bietti crystalline dystrophy (BCD) patients, including retinal metabolism, blood flow, vascular remodeling, and pupillary light reflex (PLR) abnormalities.

Methods: This cross-sectional study included 120 eyes from BCD patients and 120 eyes from healthy controls, utilizing a multimodal imaging system (MEFIAS 3200, SYSEYE, Chongqing, China) to evaluate retinal oxygenation, blood flow, vascular structure, and PLR. Measurements included oxygen saturation, blood flow velocity, vessel diameters, and pulsatility metrics.

Smartphone Technology to Facilitate Remote Postural Balance Assessment in Acute Concussion Management: Pilot Study.

Impaired balance is a key symptom following acute concussion. Unfortunately, the recommended clinical balance assessment lacks sensitivity and discriminative ability, relying on the experience of the clinician for interpretation. The aim of this pilot study is to explore smartphone technology to remotely assess balance impairment in people with acute concussion.

Are cervical curvature and axioscapular muscle activity associated with disability in patients with chronic nonspecific neck pain? - a cross sectional exploratory study.

Purpose: To ascertain the relationship between cervical curvature, neck muscle activity and neck disability in patients with chronic nonspecific neck pain (CNNP).

Methods: Ninety participants (mean age = 27.2, female/male ratio = 7/2) with CNNP volunteered.

The effect of Baduanjin on body mass and body composition of college students: A randomized controlled trial.

Background: Previous studies have also found that Baduanjin training can improve health-related physical fitness in young adults. However, it is unclear whether Baduanjin training can improve body mass and body composition in young adults. The aim of this study was to investigate the effects of the Baduanjin training on body mass and body composition in college students.

A longitudinal study of self-report tooth loss impacting functional status among Chinese older adults: moderated mediation of social relationships and psychological resilience.

Objectives: This study aimed to discern the longitudinal association between tooth loss and subsequent functional status, specifically investigating the moderated mediation effects of social relationships and psychological resilience.

Methods: Data from the 2011, 2014, and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed, we included 2,834 older adults aged 65 and over in the study. The longitudinal relationship between tooth loss and functional status was analyzed using the generalized estimating equation.

Smartphone Proprioception for Ankle Navigation (SPAN): Reliability and Effect of Position Exposure Time.

This study investigated ankle discriminative acuity and performance and measurement consistency for tests undertaken with different joint position exposure times (PETs). Twenty-four participants were tested using a novel Smartphone Proprioception for Ankle Navigation (SPAN) under four PETs, i.e.

Magnetic 3D macroporous MOF oriented urinary exosome metabolomics for early diagnosis of bladder cancer.

Bladder cancer (BCa) exhibits the escalating incidence and mortality due to the untimely and inaccurate early diagnosis. Urinary exosome metabolites, carrying critical tumor cell information and directly related to bladder, emerge as promising non-invasive diagnostic biomarkers of BCa. Herein, the magnetic 3D ordered macroporous zeolitic imidazolate framework-8 (magMZIF-8) is synthesized and used for efficient urinary exosome isolation.

Objectively measured levels of moderate to vigorous intensity physical activity are associated with cognitive impairment in diabetic hemodialysis patients: a cross-sectional study.

Objective: The purpose of this study was to observe the relationship between objectively measured levels of physical activity and cognitive impairment (CI) in the presence or absence of diabetes in middle-aged and elderly hemodialysis patients.

Methods: In this multicenter cross-sectional study, 339 clinically stable hemodialysis patients (210 males; mean age: 67.38 ± 8.

Organophotocatalyst Enabled Deoxycyclopropanation of Alcohols.

Cyclopropane fragments, which widely exist in marketed drugs and natural products, can confer special pharmacological properties to small-molecule drugs. Therefore, developing methods to construct cyclopropanes is of great significance. Nevertheless, the introduction of cyclopropane primarily relies on already-formed cyclopropyl groups, which significantly restricts the diversity of cyclopropane skeletons.

Evaluation of four machine learning methods in predicting orthodontic extraction decision from clinical examination data and analysis of feature contribution.

Introduction: The study aims to predict tooth extraction decision based on four machine learning methods and analyze the feature contribution, so as to shed light on the important basis for experts of tooth extraction planning, providing reference for orthodontic treatment planning.

Methods: This study collected clinical information of 192 patients with malocclusion diagnosis and treatment plans. This study used four machine learning strategies, including decision tree, random forest, support vector machine (SVM) and multilayer perceptron (MLP) to predict orthodontic extraction decisions on clinical examination data acquired during initial consultant containing Angle classification, skeletal classification, maxillary and mandibular crowding, overjet, overbite, upper and lower incisor inclination, vertical growth pattern, lateral facial profile.

A bibliometric analysis of global research on short chain fatty acids in neurological diseases.

Background: The interest on short chain fatty acids (SCFAs) regulating the progress of neurological diseases has gained significant attention in recent years. This bibliometric analysis aimed to provide insights into the current state and future trends of global research on SCFAs in neurological research.

Methods: To analysis the general trend of publications, the scientific output in this field from 1995 to 2024 was first retrieved from the Web of Science Core Collection, Scopus, and PubMed with SCFAs-related and neurological diseases related terms as the subjects.