Therapeutic Effects of Sulforaphane on -Infected Mice: Insights from High-Coverage Metabolomics and Lipidomics Analyses of Serum and Liver.

Sulforaphane, a natural isothiocyanate predominantly found in cruciferous vegetables, has shown potential in preventing and treating infection. However, the underlying metabolic mechanisms remain largely unclear. This study employed high-coverage metabolomics and lipidomics methods to comprehensively investigate the effects of sulforaphane on the serum and liver metabolic profiles of -infected mice.

Multi-omic integration of single-cell data uncovers methylation profiles of super-enhancers in skeletal muscle stem cells.

Introduction: Skeletal muscle stem cells (MuSCs) have strong regenerative abilities, but as we age, their ability to regenerate decreases, leading to a decline in muscle function. Although the methylation reprogramming of super-enhancers (SEs) plays a pivotal role in regulating gene expression associated with the aging process, our understanding of the molecular diversity of stem cells during aging remains limited. This study aimed to identify the methylation profile of SEs in MuSCs and explore potential therapeutic molecular targets associated with aging.

Integrating Ideological and Political Education Elements Into the Advanced Nursing Practice Course.

Objective: To explore the effectiveness of integrating ideological and political education elements into advanced nursing practice courses for nursing master's students.

Methods: This is a nonequivalent posttest design study. The study selected 24 nursing Master's students who took the advanced nursing practice course between 2023 and 2024 as the experimental group, and nursing Master's students who completed the advanced nursing practice course between 2021 and 2022 as the control group.

Hepatic injury and metabolic perturbations in mice exposed to perfluorodecanoic acid revealed by metabolomics and lipidomics.

Perfluorodecanoic acid (PFDA) is a typical perfluoroalkyl substances frequently encountered in populations, posing significant risks to human health. However, research on the effects of PFDA exposure on organism metabolism and related pathogenic mechanisms is severely lacking. In this study, serum and liver samples of C57BL/6 J mice exposed to different doses of PFDA were analyzed by UPLC-HRMS-based metabolomics and lipidomics techniques.

The impact of internet-based cognitive behavioral therapy on mental health outcomes and life in breast cancer patients: a systematic review and meta-analysis.

Background: Internet-based cognitive behavioral therapy(ICBT) improves the impact of breast cancer through online platforms, modular learning, goal setting, relaxation exercises, and other techniques. Compared to traditional cognitive behavioral therapy (CBT), ICBT offers advantages such as the convenience of flexible time and location choices and reduced manpower requirements. In recent years, research exploring the impact of ICBT on breast cancer patients has been increasing, with conflicting results across different studies.

Effect of Otago exercise on fear of falling in older adults: a systematic review and meta-analysis.

Background: Approximately 40-70% of older adults who have experienced falls develop fear of falling (FOF), with the incidence rate in nursing home residents reaching as high as 79.4%. An increasing number of studies have focused on the effect of the Otago Exercise Programme (OEP) on reducing FOF among older adults, yet comprehensive analysis is lacking due to regional and demographic variations.

Recent Advances and Perspectives in Relation to the Metabolomics-Based Study of Diabetic Retinopathy.

Diabetic retinopathy (DR), a prevalent microvascular complication of diabetes, is a major cause of acquired blindness in adults. Currently, a clinical diagnosis of DR primarily relies on fundus fluorescein angiography, with a limited availability of effective biomarkers. Metabolomics, a discipline dedicated to scrutinizing the response of various metabolites within living organisms, has shown noteworthy advancements in uncovering metabolic disorders and identifying key metabolites associated with DR in recent years.

Epileptic prediction using spatiotemporal information combined with optimal features strategy on EEG.

Objective: Epilepsy is the second most common brain neurological disease after stroke, which has the characteristics of sudden and recurrence. Seizure prediction is seriously important for improving the quality of patients' lives.

Methods: From the perspective of multiple dimensions including time-frequency, entropy and brain network, this paper proposed a novel approach by constructing the optimal spatiotemporal feature set to predict seizures.

Epileptic seizure prediction in intracranial EEG using critical nucleus based on phase transition.

Background And Objective: Epilepsy is the second most prevalent neurological disorder of brain activity, affecting about seventy million people, or nearly 1% of the world population. Epileptic seizures prediction is extremely important for improving the epileptic patients' life. This paper proposed a novel method to predict seizures by detecting the critical transition of brain activities with intracranial EEG (iEEG) signals.

The efficacy and safety of gemcitabine-based combination therapy gemcitabine alone for the treatment of advanced pancreatic cancer: a systematic review and meta-analysis.

Background: Gemcitabine (GEM) is used as a standard first-line drug to effectively alleviate symptoms and prolong survival time for advanced pancreatic cancer. Most randomized controlled trials (RCTs) show that GEM-based combination therapy is better than GEM alone, while some RCTs have the opposite conclusion. This study aimed to investigate whether GEM-based combination therapy would be superior to GEM alone by a systematic review and meta-analysis.

Technological Requirements and Challenges in Wireless Body Area Networks for Health Monitoring: A Comprehensive Survey.

With the rapid growth in healthcare demand, an emergent, novel technology called wireless body area networks (WBANs) have become promising and have been widely used in the field of human health monitoring. A WBAN can collect human physical parameters through the medical sensors in or around the patient's body to realize real-time continuous remote monitoring. Compared to other wireless transmission technologies, a WBAN has more stringent technical requirements and challenges in terms of power efficiency, security and privacy, quality of service and other specifications.

Effect of remained stem height on yield, quality of I. and on soil water content.

To explore the reason causing low yield, poor quality of , this paper investigated the influence of different remained stem heights on the yield, quality and water consumption of in Gannan plateau area using field single factor randomized block method. Research results showed that which was cut before blooming period in the last ten-day of July with remained stem height of 25 cm had the lowest water consumption, the best underground root traits (including main root length, root diameter, and root dry weight per plant), and the highest yield which was higher that control group by 18.73% (P < .

Effects of different cultivation material formulas on the growth and quality of spp.

To study the effects of different cultivation material formulas on the growth and quality of spp. With the cultivated species strains extracted from wild spp. in Diebu County, Gannan Prefecture as experimental materials, an experiment was designed and the data then obtained was anyalyzed using the single factor variable method.

Distribution and Determinants of Unmet Need for Supportive Care Among Women with Breast Cancer in China.

BACKGROUND The aim of this study was to determine the need for supportive care among women suffering from breast cancer in China and to identify its potential determinants to inform the development of effective and efficient healthcare services across different settings. MATERIAL AND METHODS In a tertiary-care hospital in Weifang, China, between July 2015 and January 2016, all women attending the Breast Cancer Clinic for regular physical examinations after treatment for breast cancer were consecutively recruited. The 34-item Supportive Care Needs Survey tool (Chinese version) (SCNS-SF34-C) was used to assess the unmet needs among participants.

Comparison of cold resistance physiological and biochemical features of four Herba Rhodiola seedlings under low temperature.

To discuss the cold resistance performance of different Herba Rhodiolae and successfully transplant Herba Rhodiolae to the Gansu plateau area for nursing, domestication and planting, this paper systematically studies six physiological and biochemical features of Rhodiola kirilowii, Rhodiola algida, Rhodiola crenulata and Herba Rhodiolae that are closely associated with cold resistance features and concludes with the cold resistance capability of Rhodiola kirilowii. In the selected six main indexes of the Herba Rhodiolae, the POD, SOD and CAT activity and MDA and Pro content in the leaf are the main physiological and biochemical indexes to indicate the cold resistance performance of four Herba Rhodiolae seedlings and can be regarded as the preliminary indexes to assess the winter performance of Herba Rhodiolae. The research work will provide the theoretical basis for the wild variants of Herba Rhodiolae and GAPJ base construction.

[Correlation of single small vessels infarction in carotid territory with large arterial lesion].

Objective: Whether small vessel infarction (SVI) correlates with large arterial lesion is under debate. The aim of the present study was to analyze the relationship between the single SVI in carotid territory by diffusion weight imaging (DWI) and arterial lesion by contrast enhanced magnetic resonance angiography (CEMRA).

Methods: Sixty patients with acute cerebral infarction underwent DWI within 7 days and CEMRA within 2 weeks after onset.