Publications by authors named "Li Dantong"

Article Synopsis
  • Alzheimer's disease (AD) is a common and complex neurodegenerative disorder affecting older adults, but its genetic causes are still not well understood.
  • This study analyzed 41 different conditions that co-occur with AD, identifying ten genetic factors linked to these comorbidities and revealing 16 genes tied to them.
  • The research also discovered 50 potential biomarkers that could help in diagnosing AD, enhancing our understanding of how these genetic factors contribute to the disease's progression.
View Article and Find Full Text PDF
Article Synopsis
  • Unfairness and inequity in AI usage for healthcare lead to challenges, especially when models perform unequally across different demographic groups due to biases associated with sensitive attributes.
  • The Attribute Neutral Framework and its component, the Attribute Neutralizer (AttrNzr), work to remove biased attributes from data to reduce unfairness while improving representation among various subgroups.
  • AttrNzr not only enhances fairness in disease diagnosis models (DDMs) while maintaining accuracy but also offers a flexible, model-independent approach that effectively mitigates unfairness during the training phase.
View Article and Find Full Text PDF

Background: Microcirculatory problems in the intestinal mucosa are the primary cause of ulcerative colitis (UC). Although UC is commonly treated with paeoniae radix alba (PRA), its exact mechanism of action is unclear.

Purpose: To examine how PRA affects UC induced by dextran sulfate sodium (DSS) and the mechanism of its effects.

View Article and Find Full Text PDF

Background: Traditional association studies of cardiovascular disease (CVD) categorizations and polyunsaturated fatty acids (PUFAs) yielded conflicting findings. We propose a novel classification system based on fundamental characteristics of cardiovascular patients, such as age, body mass index, waist-hip ratio, to more accurately assess the impact of PUFAs (plasma measures) such as omega (ω)-3 (n-3) and ω-6 on mortality in cardiovascular patients.

Methods: Principal component analysis and -means clustering were used to determine the CVD subtype.

View Article and Find Full Text PDF

The comorbidity of Alzheimer's disease (AD) and age-related macular degeneration (AMD) has been established in clinical and genetic studies. There is growing interest in determining the shared environmental factors associated with both conditions. Recent advancements in record linkage techniques enable us to identify the contributing factors to AD and AMD from a wide range of variables.

View Article and Find Full Text PDF

Here, we presented the study of the molecular mechanisms underlying the action of Wulingsan (WLS) in rats with metabolic-associated fatty liver disease (MAFLD) induced by a high-fat diet (HFD). High-performance liquid chromatography was employed to identify the chemical components of WLS. After 2 weeks of HFD induction, MAFLD rats were treated with WLS in three different doses for 6 weeks, a positive control treatment or with a vehicle.

View Article and Find Full Text PDF

Accurate differentiation between angina with no obstructive coronary arteries (ANOCA) and mental stress-induced myocardial ischemia (MSIMI) is crucial for tailored treatment strategies, yet public data scarcity hampers understanding. Given the higher incidence of both conditions in women, this study prospectively enrolled 80 female ANOCA and 39 age-matched female controls, subjecting them to three types of mental stress tasks. ECGs were continuously monitored across Rest, Stress, and Recover stages of the mental stress tasks, with PET/CT imaging during the Stress stage to evaluate myocardial perfusion.

View Article and Find Full Text PDF

It is estimated that there are about 23% of all children in China experiencing parental migration and being left behind at hometown. Existing research indicated a significant association between parental migration and children development but overlooked the dynamic changes in family structure caused by parental migration. In this study, data was derived from a nationally representative longitudinal survey-the China Family Panel Studies.

View Article and Find Full Text PDF

Diagnosis of disorders of consciousness (DOC) remains a formidable challenge. Deep learning methods have been widely applied in general neurological and psychiatry disorders, while limited in DOC domain. Considering the successful use of resting-state functional MRI (rs-fMRI) for evaluating patients with DOC, this study seeks to explore the conjunction of deep learning techniques and rs-fMRI in precisely detecting awareness in DOC.

View Article and Find Full Text PDF

Objectives: We aimed to estimate the effectiveness of telemedicine for the prevention of mother-to-child transmission (PMTCT) program of HIV in low- and middle-income countries (LMICs).

Methods: We did a systematic literature search of 15 databases for articles published from database inception to October 26, 2022, and performed meta-analyses to estimate the pooled risk ratio of intervention effect (RR) and its 95% confidence interval (CI). We used subgroup analyses and meta-regressions to explore variation in the RRs.

View Article and Find Full Text PDF

Biological aqua crust (biogenic aqua crust-BAC) is a potentially sustainable solution for metal(loid) bioremediation in global water using solar energy. However, the key geochemical factors and underlying mechanisms shaping microbial communities in BAC remain poorly understood. The current study aimed at determining the in situ metal(loid) distribution and the key geochemical factors related to microbial community structure and metal(loid)-related genes in BAC of a representative Pb/Zn tailing pond.

View Article and Find Full Text PDF
Article Synopsis
  • Early detection of congenital heart diseases (CHDs) is crucial for improving treatment outcomes in child patients, and there's a need for effective, low-cost, non-invasive detection techniques.
  • The proposed deep learning model, CHDdECG, processes pediatric electrocardiograms and shows high performance metrics (ROC-AUC of 0.915, specificity of 0.881) on a large dataset, outperforming cardiologists in CHD detection.
  • CHDdECG's success suggests that it captures valuable features from electrocardiogram data that may go beyond human understanding, highlighting its potential for broader applications in pediatric heart disease detection.
View Article and Find Full Text PDF

Arrhythmias can pose a significant threat to cardiac health, potentially leading to serious consequences such as stroke, heart failure, cardiac arrest, shock, and sudden death. In computer-aided electrocardiogram interpretation systems, the inclusion of certain classes of arrhythmias, which we term "aggressive" or "bullying," can lead to the underdiagnosis of other "vulnerable" classes. To address this issue, a method for arrhythmia diagnosis is proposed in this study.

View Article and Find Full Text PDF

Objectives: With the popularization of chest computed tomography (CT) screening, there are more sub-centimeter (≤ 1 cm) pulmonary nodules (SCPNs) requiring further diagnostic workup. This area represents an important opportunity to optimize the SCPN management algorithm avoiding "one-size fits all" approach. One critical problem is how to learn the discriminative multi-view characteristics and the unique context of each SCPN.

View Article and Find Full Text PDF

Introduction: Antenatal care (ANC) is a critical measure to reduce maternal and perinatal morbidity and mortality. However, there are issues of too many visits and cumbersome procedures of ANC in many maternity hospitals of China. In the past 2 years, reduced-visit ANC models combined with remote monitoring have been recommended and implemented at most hospitals in China during the COVID-19 pandemic.

View Article and Find Full Text PDF

The existence of incompatible observables is a cornerstone of quantum mechanics and a valuable resource in quantum technologies. Here we introduce a measure of incompatibility, called the mutual eigenspace disturbance (MED), which quantifies the amount of disturbance induced by the measurement of a sharp observable on the eigenspaces of another. The MED provides a metric on the space of von Neumann measurements, and can be efficiently estimated by letting the measurement processes act in an indefinite order, using a setup known as the quantum switch, which also allows one to quantify the noncommutativity of arbitrary quantum processes.

View Article and Find Full Text PDF

This retrospective study aimed to derive the clinical phenotypes of ventilated ICU patients to predict the outcomes on the first day of ventilation. Clinical phenotypes were derived from the eICU Collaborative Research Database (eICU) cohort via cluster analysis and were validated in the Medical Information Mart for Intensive Care (MIMIC-IV) cohort. Four clinical phenotypes were identified and compared in the eICU cohort (n = 15,256).

View Article and Find Full Text PDF

The activation and conversion of the CO molecule have always been the most vexing challenge due to its chemical inertness. Developing highly active catalysts, which could overcome dynamic limitations, has emerged as a provable and effective method to promote CO activation-conversion. Herein, ETS-10 zeolite-based catalysts, with active nickel species introduced by doping and impregnation, have been employed for CO methanation.

View Article and Find Full Text PDF

Although Silymarin (SMN) has powerful antioxidant properties, little is known about its effects on the quality of frozen-thawed boar sperm. The present study aimed to evaluate the influences of SMN added to the thawing extender on boar sperm parameters essential for fertilization. The frozen-thawed semen was diluted in a Modena thawing extender supplemented with different concentrations of SMN (0, 5, 10, 20 and 50 μM respectively), and then the changes in quality parameters, antioxidant capacity, mitochondrial function and in vitro fertilization (IVF) capability of frozen-thawed sperm were assessed.

View Article and Find Full Text PDF

A novel, to the best of our knowledge, bionic coaxial micro-displacement sensor based on the shadow method is developed and experimentally demonstrated inspired by the water strider walking on the water. The water is used as the sensitive element to measure the micro- displacement. A meniscus is formed by the superhydrophobic circular plate subjected to a coaxial displacement excitation.

View Article and Find Full Text PDF

The precision of micro-force measurement depends on the force sensor sensitivity and the environmental disturbance magnitude. However, micro-force sensors generally have the poor anti-disturbance ability. Inspired by the shadow formed by water striders walking on water surface under sunlight, a viscoelastic-polymer micro-force (VPMF) sensor based on the shadow method was proposed, which could suppress disturbances effectively due to the high damping ratio of 0.

View Article and Find Full Text PDF

Metabolite alteration has been associated with the pathogenesis of inflammatory bowel disease (IBD), including colitis. Mannose, a natural bioactive monosaccharide that is involved in metabolism and synthesis of glycoproteins, exhibits anti-inflammatory and anti-oxidative activities. We show here that the circulating level of mannose is increased in patients with IBD and mice with experimental colitis.

View Article and Find Full Text PDF

Objective: This study systematically evaluated the effectiveness and safety of therapeutic vaccines for precancerous cervical lesions, providing evidence for future research.

Methods: We systematically searched the literature in 10 databases from inception to February 18, 2021. Studies on the effectiveness and safety of therapeutic vaccines for precancerous cervical lesions were included.

View Article and Find Full Text PDF