Catastrophizing as a Predictor for Pain Perception and Disability Among Patients Undergoing Spinal Cord Stimulation.

: The International Society for Modulation defines persistent spinal pain syndrome type 2 (PSPS-type 2), formerly known as failed back surgery syndrome, as a condition where patients continue to experience pain or develop new pain following spinal surgery intended to alleviate back or lower-limb discomfort. PSPS-type 2 is characterized by pain and significant disability, affecting quality of life. Spinal cord stimulation has proven effective in treating this syndrome, although the role of psychological factors, such as pain catastrophizing and central sensitization, remain unclear.

Integrating transcriptomics, metabolomics, and network pharmacology to investigate multi-target effects of sporoderm-broken spores of on improving HFD-induced diabetic nephropathy rats.

Diabetes mellitus (DM) is a major metabolic disease endangering global health, with diabetic nephropathy (DN) as a primary complication lacking curative therapy. Sporoderm-broken spores of (GLP), an herbal medicine, has been used for the treatment of metabolic disorders. In this study, DN was induced in Sprague-Dawley rats using streptozotocin (STZ) and a high-fat diet (HFD), and the protective mechanisms of GLP were investigated through transcriptomic, metabolomic, and network pharmacology (NP) analyses.

Green sanctuaries: residential green and garden space and the natural environment mitigate mental disorders risk of diabetic patients.

Background: The co-occurrence of diabetes and mental disorders is an exceedingly common comorbidity with poor prognosis. We aim to investigate the impact of green space, garden space, and the natural environment on the risk of mental disorders among the population living with diabetes.

Methods: We performed a longitudinal analysis based on 39,397 participants with diabetes from the UK Biobank.

Associations of arthritis with functional disability and depressive symptoms in general US adults: NHANES 1988-1994 and 1999-2018.

Objectives: This study aimed to examine the associations of arthritis with functional disability and depressive symptoms among general US adults. Additionally, it explored the relationship between radiographic knee osteoarthritis (assessed by X-ray examination) and functional disability. Above findings seek to highlight the need for comprehensive physical and mental health management in individuals with arthritis.

Characterization of metalaxyl-induced notochord toxicity based on biochemical and transcriptomics in zebrafish (Danio rerio) model.

Metalaxyl is an acylanilide systemic fungicide that is widely applied and can readily enter ecosystems through leaching and soil runoff. This research utilized zebrafish as a model organism to thoroughly investigate the detrimental impacts of environmentally relevant levels of metalaxyl on the development of the notochord in zebrafish embryos and to elucidate the underlying molecular mechanisms through transcriptomics, pharmacological intervention and molecular biological detection. The preliminary results demonstrated that metalaxyl induced significant modifications in the developmental parameters of zebrafish embryos.

Zebrafish as a model system for studying reproductive diseases.

Reproductive system diseases have become a major health challenge facing humans, so extensive investigations are needed to understand their complex pathogenesis and summarize effective treatments. In the study of reproductive diseases, mice are the most commonly used animal model. However, the cost and time required to establish mouse animal models are high.

Effects of pyrazosulfuron-ethyl on caudal fin regeneration in zebrafish larvae.

With the widespread application of pesticides, water pollution problems are becoming more and more serious, which is very likely to cause harm to fish. Lower vertebrates, including fish, have the ability to repair damaged tissues. The spread of pesticides in the water may affect their regeneration process after injury, leading to their death, thereby affecting the survival rate of the population.

XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study.

Objective: To use routine demographic and clinical data to develop an interpretable individual-level machine learning (ML) model to diagnose knee osteoarthritis (KOA) and to identify highly ranked features.

Methods: In this retrospective, population-based cohort study, anonymized questionnaire data was retrieved from the Wu Chuan KOA Study, Inner Mongolia, China. After feature selections, participants were divided in a 7:3 ratio into training and test sets.

The Moderating Role of Online Awareness in the Association between Strategy Use and Performance Accuracy on a Test of Functional Cognition in Individuals with Acquired Brain Injury.

Objective: Deficits in online self-awareness (SA) are common after acquired brain injury (ABI), leading to safety concerns and impacting daily activities and rehabilitation outcomes. Early identification is recommended as a critical first step in cognitive rehabilitation following ABI. The aim of this observational study was to examine differences in online SA and strategy use between individuals with ABI and healthy controls.

Cancer history and accelerated aging: findings from a nationally representative sample in the US.

Purpose: Cancer and its treatments may accelerate the aging process. However, accelerated aging among cancer survivors is not well understood. This study examines accelerated aging among adults with and without a cancer history in a nationally representative sample and identifies health-related social needs and behavioral factors associated with accelerated aging.

Association between residential greenness exposure and semen quality: A retrospective study in China.

Background: The association between greenness exposure and semen quality and the underlying mechanism are unclear.

Objectives: To assess the association between greenness exposure and semen quality and whether the association is mediated by air pollutant exposure.

Methods: We collected data from 10,273 men in Zhejiang, China, whose wives received assisted reproductive technology from 2015 to 2021.

Dietary Antioxidant Capacity, Genetic Susceptibility and Polymorphism, and Inflammatory Bowel Disease Risk in a Prospective Cohort.

Background & Aims: Oxidative stress is an essential factor in the pathogenesis of inflammatory bowel disease (IBD). A previous study found protective potential of some antioxidative nutrients against IBD. However, the association between total antioxidant capacity (TAC) of the diet and incident IBD is unclear.

Effect of weighted blankets on sleep quality among adults with insomnia: a pilot randomized controlled trial.

Background: Weighted blanket is an emerging non-pharmacotherapy for sleep disorders, but its effect on sleep among relatively healthy adults with insomnia remains uncertain. This study aimed to evaluate whether weighted blankets could better improve sleep quality and sleep-related symptoms among adults with insomnia.

Methods: In a prospective, pilot randomized controlled trial conducted in three tertiary hospitals in China, participants with clinical insomnia were randomized (1:1) to receive weighted blanket intervention or normal blanket intervention for 1 month by random-number tables.

Increased Risk of Chronic Respiratory Disease among Individuals with Inflammatory Bowel Disease in a Prospective Cohort Study.

Background: Cross-sectional evidence suggests a higher burden of chronic respiratory diseases in people with inflammatory bowel disease, but there is a lack of prospective evidence to clarify the direction of their associations. We aimed to investigate the association of inflammatory bowel disease with the risk of 2 major chronic respiratory diseases, chronic obstructive pulmonary disease, and asthma.

Methods: We included 430,414 participants from UK Biobank and followed them from recruitment (2006-2010) to 2021.

Later-Life Cognitive Trajectories and Risk of Death: Results from a 6-Year Longitudinal Study of 7082 Chinese.

Background And Objectives: To identify cognitive decline trajectories in a Chinese elderly population, explore the associations between these trajectories and mortality, and further identify risk factors related to certain trajectories of cognitive decline.

Design: Prospective cohort study.

Setting: The group-based trajectory modeling and Cox proportional hazards models were conducted to explore the association between cognitive trajectory groups and mortality, while multinomial logistic regression models were constructed to estimate potential risk factors.

A Novel Metabolomic Aging Clock Predicting Health Outcomes and Its Genetic and Modifiable Factors.

Existing metabolomic clocks exhibit deficiencies in capturing the heterogeneous aging rates among individuals with the same chronological age. Yet, the modifiable and non-modifiable factors in metabolomic aging have not been systematically studied. Here, a new aging measure-MetaboAgeMort-is developed using metabolomic profiles from 239,291 UK Biobank participants for 10-year all-cause mortality prediction.

Predicting all-cause mortality and premature death using interpretable machine learning among a middle-aged and elderly Chinese population.

Objective: To develop machine learning-based prediction models for all-cause and premature mortality among the middle-aged and elderly population in China.

Method: Adults aged 45 years or older at baseline of 2011 from the China Health and Retirement Longitudinal Study (CHARLS) were included. The stacked ensemble model was built utilizing five selected machine learning algorithms.

Sexual and Gender-Diverse Individuals Face More Health Challenges during COVID-19: A Large-Scale Social Media Analysis with Natural Language Processing.

The COVID-19 pandemic has caused a disproportionate impact on the sexual and gender-diverse (SGD) community. Compared with non-SGD populations, their social relations and health status are more vulnerable, whereas public health data regarding SGD are scarce. To analyze the concerns and health status of SGD individuals, this cohort study leveraged 471,371,477 tweets from 251,455 SGD and 22,644,411 non-SGD users, spanning from 2020 February 1 to 2022 April 30.

Predicting oral and esophageal cancers by one model in a Chinese prospective cohort study.

Objective: Oral and esophageal cancers are both upper gastrointestinal cancers that share a number of risk factors. However, most previous risk prediction models only focused on one of these two types of cancer. There is no single model that could predict both cancers simultaneously.

Reply to 'The causal relationship between long-term exposure to ambient fine particulate matter and cognitive performance: Insights from Mendelian randomization'.

Li et al. [1] have commented on our recent paper investigating the association between exposure to fine particulate matter (PM) constituents and the risk of cognitive impairment [2]. They provided a Mendelian randomization (MR) analysis using large-scale genome-wide association study (GWAS) datasets from the European population, confirming a causal relationship between PM exposure and cognitive performance.