Colorectal cancer is one of the most common malignant tumors, which is a great threat to human life and health. The change of bile acid homeostasis can activate their corresponding receptors to regulate the immune functions, which is closely related to the occurrence of colorectal cancer. In addition, some bile acids can directly induce colorectal cancer and play an important role in the development of colorectal cancer. In this paper, the metabolic process of bile acids in vivo and the immunomodulatory role of bile acid receptors were reviewed, and the evidence of associations between bile acids and colorectal cancer were summarized, which showed the rebalancing the bile acid levels might play a role in the prevention or treatment of colorectal cancer.

Forced oscillation technique (FOT) enables early diagnosis of chronic obstructive pulmonary disease (COPD) by quantifying the impedance of COPD patients during normal breathing and reflecting the airway obstruction and distribution of the patients. The flow sensors using in FOT for diagnosis of COPD mainly include differential pressure flow sensors, ultrasonic flow sensors, hot wire gas flow sensors, fiber-optic flow sensors and flow sensors based on friction nanoelectricity technology. In this review, the principles, characteristics, and current application status of these five types of flow sensors were summarized, and their future development prospects were prospected.

In recent years, a variety of innovative fast algorithm techniques have emerged in the field of transcranial magnetic stimulation (TMS) electric field solving, which show great potential to meet the requirements of real-time clinical applications. In this review, the crucial processes of TMS electric field modeling were summarized, focusing on two prominent fast algorithm techniques, namely the basis function method and the deep neural network (DNN)-based method. The advantages and limitations of these two techniques were analyzed in detail. Commonly used software tools for electric field modeling were discussed, and a prospective discussion of future developments was offered, aiming to provide a reference for the further development of TMS electric field modeling technology.

Transcranial ultrasound stimulation (TUS) is a non-invasive brain stimulation technique that demonstrates great potential in treatment of neurological disorders due to its high spatial resolution and focused penetration ability, enabling millimetre-level precision modulation of specific brain regions with ultrasound to achieve neuromodulation of targeted areas. At present, numerous animal experiments and human studies have been carried out on the regulation of Alzheimer′s disease by TUS. In this review, the regulation effects of TUS on Alzheimer′s disease were introduced from the perspective of targeting different brain regions, including the hippocampus, frontal lobe and whole brain.

Alzheimer′s disease (AD) is a degenerative disorder of the central nervous system. In the early stages of AD, i.e. when cognitive impairment is mild or absent but biomarkers are present, patients show abnormal neuroelectric activity. Repetitive transcranial magnetic stimulation (rTMS) is an important method of non-invasively regulating neuroelectric activity in the brain. It does so by inducing microcurrents to change the membrane potential of nerve cells in the brain based on electromagnetic induction. In this review, the characteristics of neuroelectric activity of AD patients and AD model mice in the early stage of AD were mainly introduced, and the regulation of rTMS on the neuroelectric activity of early AD was discussed.

Emotion is defined as a physiological and psychological state that encompasses human thoughts, behaviors, and feelings. This phenomenon is also regarded as a spontaneous physiological and psychological response generated by the human body to external stimuli. Given the established correlation between electroencephalogram signal and cerebral activity, it is possible to extrapolate the emotional state of subjects by means of electroencephalogram signal analysis. In this review, emotion models, datasets, and popular machine learning and deep learning methods in recent years used in emotion recognition research were summarized. In addition, the research progress of emotion recognition based on electroencephalogram signal was reviewed, with the aim of assisting subsequent researchers in understanding developments in electroencephalogram signal domain and offering insights for addressing clinical challenges in emotion recognition.

The prevalence of neurological diseases is increasing, and conventional clinical treatments frequently exhibit suboptimal efficacy and substantial adverse effects. Transcranial magnetic stimulation (TMS) has garnered significant interest due to its non-invasiveness and favorable tolerability. In this review, the etiology of neurological disorders was described, including Alzheimer's disease, stroke, epilepsy, Parkinson's disease and neuropathic pain. The application methods and therapeutic effects of TMS in these diseases were reviewed as well. While TMS demonstrates considerable promise in the treatment of neurological disorders, further large-scale studies and additional research on its mechanisms and personalized treatment protocols are necessary.

Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
Humans ; Electrocardiography/methods* ; Mental Health ; Algorithms ; Signal Processing, Computer-Assisted ; Machine Learning ; Arrhythmias, Cardiac/diagnosis* ; Cardiovascular Diseases ; Neural Networks, Computer ; Mental Disorders

Objective:To examine the role of intestinal macrophages and the mechanism by which they produce reactive oxygen species (ROS) in abdominal pain induced by food antigens in mice with visceral hypersensitivity.Methods:Mouse models of visceral hypersensitivity were established by subjecting animals to acute cold restraint stress (ACRS) or acetic acid enema (AAE). Visceral sensitivity was evaluated using food antigen ovalbumin (OVA)-induced responses and rectal reflex measurements following ROS scavenging. The activity of intestinal macrophages was assessed using flow cytometry. In vitro enzyme immunoassays and in vivo imaging techniques were employed to quantify ROS levels. Furthermore, the influence of OVA on ROS levels following intestinal macrophage depletion was investigated. Cell culture experiments were conducted to investigate the effects of OVA on intestinal macrophage function and ROS production.Results:The two visceral hypersensitivity mouse models exhibited a significantly lower pain threshold compared to the control group. OVA-induced visceral hypersensitivity mice demonstrated enhanced visceral motor responses (VMRs), with an increase in abdominal ROS levels (ACRS vs. control: 62.00±7.68 vs. 19.80±2.39, P<0.001; AAE vs. control: 461.80±17.25 vs. 19.80±2.39, P<0.001). When ROS were cleared from the abdominal cavity of mice, VMRs were restored to normal levels (AAE vs. AAE+ROS: 83.50±8.72 vs. 71.66±2.67, P=0.010). In this mouse model, intestinal macrophages could be classified into CD45 Med and CD45 High subtypes based on the level of CD45 expression. In the AAE group, the expression of CD45 Med macrophages in the intestinal tract decreased (AAE vs. control: 0.121±0.026 vs. 0.194±0.021, P=0.007), whereas the expression of CD45 High macrophages increased (AAE vs. control: 0.249±0.087 vs. 0.018±0.003, P=0.027). Compared with the control group, the expression of CD11b in both types of macrophages increased significantly (CD45 Med vs. control: 39 547.00±4 422.59 vs. 4 055.67±506.05, P<0.05; CD45 High vs. control: 18 960.00±1 197.84 vs. 3 147.50±286.38, P=0.008), while the expression of F4/80 decreased (CD45 Med vs. control: 6 141.67±750.06 vs. 10 544.33±974.92, P=0.008; CD45 High vs. control: 1 291.50±119.50 vs. 4 007.50±327.39, P<0.001). These findings suggest that the activity of intestinal macrophages in visceral hypersensitivity mice is altered following OVA induction. By injecting different populations of macrophages into the peritoneal cavity of mice, it was found that compared to the AAE group, the injection of CD45 High macrophages significantly increased the VMR in mice (AAE vs. AAE CD45 High: 83.50±8.72 vs. 114.38±7.15, P<0.001), and aggravated the severity of diarrhea significantly. In vitro experiments revealed that food antigens could directly induce ROS production in macrophages. Compared with the control group, both the ACRS and AAE groups of mice exhibited significant diarrhea symptoms. In contrast, the severity of diarrhea in the Macrophages exhaust+ACRS and Macrophages exhaust+AAE groups was substantially reduced, with a significantly shortened recovery period. Additionally, compared with the AAE group, the degree of diarrhea in the AAE+ROSS group was alleviated. Conclusions:Food antigens may act on intestinal macrophages, inducing abdominal pain and diarrhea in visceral hypersensitive mice via the ROS pathway. CD45 High macrophages may play a pivotal role in this process.

Objective To analyze the current status and influencing factors of occupational stress, job burnout and sleep quality among workers in the secondary industry in Jinshan District, Shanghai City. Methods A total of 1 418 workers from six key industries in Jinshan District, Shanghai City were selected as the study subjects by the stratified cluster sampling method. The Occupational Stress Core Scale, Maslash Burnout Inventory General Survey and Pittsburgh Sleep Quality Index were used to investigate occupational stress, job burnout and sleep quality of the workers. Results The detection rates of occupational stress, job burnout and sleep disturbance among the study subjects were 33.6%, 65.4% and 23.3%, respectively. Multivariate logistic regression analysis showed that the workers with a monthly income <5 000 yuan had a higher risk of occupational stress than those with a monthly income ≥5 000 yuan (P<0.01). The workers with ≥5.0 years of service had a higher risk than those with <1.0 year (P<0.05). Lack of physical exercise, employment in medium- and large-sized enterprises, and shift work were risk factors of occupational stress in the workers (all P<0.01). The workers aged 18-<30 years had a higher risk of job burnout than those aged 45-<60 years (P<0.05). The workers monthly income <5 000 yuan was associated with a higher risk of job burnout than those with ≥9 000 yuan (P<0.05). The workers with 1.0-<10.0 years or ≥15.0 years of service had higher job burnout risks than those with <1.0 year (all P<0.05). Being unmarried, lack of physical exercise, and employment in medium- and large-sized enterprises were risk factor of job burnout in the workers (all P<0.05). The workers with an educational level of high school or above had a higher risk of sleep disturbance than those with junior school or below (P<0.05). The workers who work >56 hours per week had a higher risk than those working ≤40 hours per week (P<0.01). Conclusion There is a high detection rate of occupational stress, job burnout, and sleep disturbance in the secondary industry workers in Jinshan District, Shanghai City. Special attention should be given to workers with low income, lack of physical exercise, employment in medium- and large-sized enterprises, shift work, long service duration, and long weekly working hours to protect their physical and mental health.