Both cathartic colon （CC） and cathartic-dependent constipation （CDC） are caused by the abuse of stimulant laxatives， while their concepts are not completely the same.Starting from the disease name of CC， this article traced the origin and evolution of the concept of CC， summarizes and compared the similarities and differences between CC， CDC， and slow transit constipation （STC）， and called for strict differentiation among the three.Furthermore， this article explored the specific contents of Western medicine clinical subtypes and traditional Chinese medicine （TCM） syndrome differentiation of CDC and delved into the TCM pathogenesis of CDC according to both literature and clinical practice.The relationship between clinical subtypes and TCM syndromes was established， and the syndrome characteristics of CDC of different clinical subtypes and TCM syndromes were summarized.The recommended prescriptions for corresponding syndromes were listed.A systematic CDC diagnosis and treatment approach of "clinical subtypes-syndrome differentiation-syndrome characteristics-recommended prescriptions" was thus formed.Additionally， the paper provides an overview of current research on CDC in both Western medicine and TCM contexts， identifies future research directions， and suggests research pathways for refining and advancing CDC studies.

In March 2024, three male and two female specimens of the genus Lispe were intercepted on cargo ships inbound for Wan Zai Port under Gongbei Customs. Based on morphological characteristics and molecular analysis, the specimens were identified as Lispe pumila. In this study, we describe the morphological features, diagnostic characteristics, and geographical distribution of L. pumila, with the aim of providing a reference for the identification of this species when intercepted at ports.

Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

Objective To analyze the clinical and imaging features of primary anorectal malignant melanoma (ARMM) and to improve the level of its early diagnosis and clinical management. Methods A retrospective analysis was performed on the clinical data, multimodal imaging features, treatment methods, pathological results, and follow-up information of 31 patients with pathologically diagnosed ARMM at Zhongshan Hospital, Fudan University from December 2016 to October 2025. Results Among the 31 patients, there were 11 males and 20 females, with age of 65 (55, 71) years. Twenty-one patients presented with hematochezia as the initial symptom (67.7%), and four asymptomatic patients were detected incidentally by physical examination. All the patients showed negative alpha-fetoprotein, carcinoembryonic antigen, and carbohydrate antigen 19-9. All 31 cases were solitary ARMM, of which 14 (45.2%) were located in the anorectal region. CT was characterized by polypoid or fungating masses, absence of intestinal obstruction, moderate to marked enhancement; MRI was characterized by specific T₁WI hyperintensity and restricted diffusion; PET/CT is characterized by high metabolism. According to Ballantyne staging, 10 cases of stage Ⅰ, 11 cases of stage Ⅱ and 10 cases of stage Ⅲ were found. Endoscopic resection was performed in 1 patient, transanal resection in 2 patients, and abdominoperineal resection (Miles operation) with routine lymph node dissection in 17 patients. The positive rates of S-100, HMB-45 and Melan-A in 20 surgical patients were 100%, 95% and 100%, respectively, with a median Ki-67 proliferation index of 65%. Median postoperative follow-up duration of surgical patients was 34.5 (2−90) months. During follow-up, 8 patients (40%) developed recurrence and/or metastasis (median time was 11 months after surgery), with the liver and lungs being the most common metastatic sites. Conclusions Primary ARMM predominantly occurs in middle-aged and elderly women, hematochezia is the most common initial symptom. Diagnostic efficacy can be improved by combining characteristic imaging manifestations and immunohistochemical findings. ARMM is a highly malignant tumor with an overall poor prognosis, surgery remains the main therapeutic approach.

Background Shift work is increasingly common in modern industries as economic globalization continues to advance, and has been associated with type 2 diabetes mellitus (T2DM). Objective To investigate the independent and interactive effects of shift work types and physical labor intensity on the risk of T2DM within an occupational cohort of petroleum workers, aiming to provide a scientific basis for reducing the risk of T2DM among workers engaged in shift work and physical labor. Methods This cohort study enrolled petroleum workers who underwent occupational health examinations at Karamay Central Hospital in Xinjiang from 2013 to 2015. Using stratified sampling, employees aged 20–60 years who had been actively employed and had been working in their current positions for at least one year were selected. A total of 3720 participants completed the baseline questionnaire survey and health examination, and follow-up was conducted in 2023. T2DM was diagnosed according to the 2020 Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes. Shift work type was categorized into fixed day shift, two-shift rotation, three-team two-shift rotation, four-team three-shift rotation, and other shift schedules. Physical labor intensity was classified as light, moderate, heavy, and extremely heavy according to the Classification of Physical Labor Intensity for Petroleum Field Operations (SY/T 6358—2008). Poisson regression models were used to estimate the associations of shift work type, physical labor intensity, and their joint exposure categories with T2DM risk after adjustment for potential confounders. Results A total of 3473 participants completed follow-up. Poisson regression analysis showed that shift work type was associated with T2DM risk. After adjustment for confounders, compared with fixed day shift workers, those engaged in two-shift rotation, three-team two-shift rotation, four-team three-shift rotation, and other shift schedules had higher risks of T2DM, with RRs of 2.17 (95%CI: 1.44, 3.27), 1.86 (95%CI: 1.16, 2.97), 1.85 (95%CI: 1.17, 2.93), and 2.15 (95%CI: 1.20, 3.88), respectively. T2DM risk also differed across physical labor intensity groups, with the extremely heavy group showing the highest risk (RR=2.26, 95%CI: 1.44, 3.56), followed by the heavy group (RR=1.91, 95%CI: 1.29, 2.82). Compared with workers exposed to fixed day shift + light intensity, increased T2DM risks were observed in those exposed to fixed day shift + heavy intensity (RR=2.38, 95%CI: 1.16, 4.72) or extremely heavy intensity (RR=2.64, 95%CI: 1.13, 5.82); two-shift rotation + light (RR=2.71, 95%CI: 1.11, 6.14), moderate (RR=3.38, 95%CI: 1.43, 7.34), heavy (RR=3.61, 95%CI: 1.52, 7.84), or extremely heavy intensity (RR=4.93, 95%CI: 1.87, 11.12); three-shift two-team rotation + light (RR=2.75, 95%CI: 1.14, 6.19), moderate (RR=3.08, 95%CI: 1.14, 7.51), or heavy/extremely heavy intensity (RR=4.06, 95%CI: 1.77, 8.50); four-shift three-team rotation + heavy/extremely heavy intensity (RR=3.89, 95%CI: 1.78, 7.84); and other shift types + heavy/extremely heavy intensity (RR=4.57, 95%CI: 1.55, 11.30). Conclusion This study demonstrates that various types of shift work significantly increase the risk of T2DM, and that concurrent exposure to high physical labor intensity exacerbates this risk. Regular blood glucose monitoring and targeted health interventions are recommended for workers exposed to rotating shift schedules and high physical work intensity.

Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

Objective:To investigate the predictive value of color Doppler ultrasound combined with electrocardio-gram for right heart dys function in patients with pulmonary heart disease(PHD).Methods:A total of 100 PHD patients admitted in Dongcheng Branch of First Affiliated Hospital of Anhui Medical University between January 2020 and December 2023 were retrospectively analyzed.According to results of 6min walking test(6MWT),pa-tients were divided into good right heart function group(n=64,≥350m)and right heart dysfunction group(n=36,＜350m).The indexes of cardiac color ultrasound[isovolumic relaxation time(IVRT),isovolumetric contraction time(IVCT)and right ventricular Tei index],ECG[24h mean R-R interval standard deviation(SDNN),normal R-R interval standard deviation per 5min(SDANN)and the ratio of low frequency components to high frequency components(LF/HF)]were compared between two groups.Receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of color Doppler ultrasound,ECG and their combination for right heart dys-function in PHD patients.Spearman correlation coefficient was used to analyze the association of color Doppler ul-trasound,ECG and their combination with right heart dysfunction in PHD patients.Results:Compared with those in good right heart function group,patients in right heart dysfunction group had significant higher IVRT[(120.64±14.08)ms vs.(97.87±10.93)ms],IVCT[(84.28±12.33)ms vs.(71.92±10.61)ms]and Tei index[(0.85±0.11)vs.(0.63±0.07)](P＜0.001 all),and significant lower SDNN[(75.52±12.58)ms vs.(85.58±11.75)ms],SDANN[(63.86±10.92)ms vs.(76.75±11.71)ms]and LF/HF[(1.33±0.19)vs.(1.84±0.27)](P＜0.001 all).ROC curve indicated that the AUC of color Doppler ultrasound combined ECG in diagnosing right heart dysfunction in PHD patients was 0.911(95％CI 0.838～0.959),which was significantly higher than those of color Doppler ultrasound[0.775(95％CI 0.681～0.853),Z=2.404,P=0.016]and ECG[0.688(95％CI 0.588～0.777),Z=3.968,P=0.001]alone.Spearman correlation analysis indicated that there was a significant positive correlation of color Doppler ultrasound(r=0.547),ECG(r=0.375)and their combination(r=0.810)with right heart dysfunction in PHD patients(P＜0.001 all),and the correlation between combined detection and right heart dysfunction in PHD patients was significantly higher.Conclusion:Color Doppler ultrasound combined with ECG possesses high diagnostic performance for right heart dysfunction in PHD patients.

Purpose: Corneal melanoma (CM) is a rare malignancy that develops from melanocytes within the cornea, constituting a minority of all ocular tumors. In this study, we sought to investigate the clinicopathological characteristics correlated with the prognosis of CM patients. Methods: We collected patients with CM between 1983 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazards regression was used for univariate analysis to value hazard ratio of malignant CM versus spindle cell melanoma and nodular melanoma subgroups. Kaplan-Meier survival analysis and log-rank test were also performed to identify additional prognostic markers and confirm the findings of the Cox hazard ratio. Results: A total of 29 eligible patients were collected in our study. Age at diagnosis, laterality, primary site, tumor size, the extent of disease, marital status, income, residential area, and treatment showed no significant prognostic factors for CM patients (p > 0.05). However, when concerned with the primary site of malignant melanoma, spindle cell melanoma and nodular melanoma were found to show significantly poorer prognosis in CM patients (both p < 0.05). Conclusions Age at diagnosis, laterality, primary site, tumor size, the extent of disease, and treatment were not significant prognostic indicators for CM patients. Spindle cell melanoma and nodular melanoma were notable for showing worse survival outcomes than malignant melanoma. Although the sample size in the SEER database was limited, our findings may provide motivation for tailoring individualized treatments for patients with CM with different primary sites.

Objective To observe the clinical efficacy of Fangxiang Wentong Powder(composed of Salviae Miltiorrhizae Radix et Rhizoma,Chuanxiong Rhizoma,Alpiniae Officinarum Rhizoma,Piper Longum,and Corydalis Rhizoma)acupoint application combined with Kuanxiong Aerosol in treating female patients with coronary slow flow(CSF)associated angina.Methods After sample size estimation,119 female inpatients diagnosed as CSF associated angina and differentiated as chest-qi obstruction with yang deficiency and cold accumulation syndrome of traditional Chinese medicine(TCM)were collected from the cardiovascular departments of the Third People's Hospital of Fujian University of Traditional Chinese Medicine,the Second Affiliated Hospital of Guangzhou University of Chinese Medicine(Guangdong Provincial Hospital of Chinese Medicine),Zhanjiang First Traditional Chinese Medicine Hospital,and Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from November 2023 to March 2024.Using a table of random numbers,the patients were divided into a treatment group(84 cases)and a control group(35 cases)in a ratio of 5∶2.The control group was treated with Isosorbide Monomitrate Sustained-Release Capsules,while the treatment group was treated with application of Fangxiang Wentong Powder on acupoints of Danzhong(CV17),Gaohuang(BL43),and Xinshu(BL15),together with sublingual administration of Kuanxiong Aerosol.The treatment course for both groups covered 7 days.Before and after treatment,the changes in the simplified Seattle Angina Questionnaire(SAQ-7)scores,Chinese Quality of Life Questionnaire for Cardiovascular Patients(CQQC)scores,6-minute walking distance(6MWD),serum C-reactive protein(CRP)level,and white blood cell-to-mean platelet volume ratio(WMR)were observed.The TCM symptom efficacy was compared between the two groups,and adverse reactions were monitored.Results(1)There were 8 patients withdrew in the treatment group for failing in completing the questionnaires,and 2 patients withdrew in the control group for suffering headaches after taking nitrates.Eventually,109 patients completed the trial,including 76 in the treatment group and 33 in the control group.(2)After 7 days of treatment,the total effective rate for TCM symptom efficacy in the treatment group was 86.84%(66/76),and that in the control group was 72.73%(24/33).The intergroup comparison(tested by the chi-square test)showed that the TCM symptom efficacy in the treatment group was significantly superior to that in the control group.(3)After treatment,both groups showed improvements in the scores of activity limitation and angina frequency items of SAQ-7,and the treatment group also showed improvements in the scores of subjective satisfaction item of SAQ-7(P＜0.05).The treatment group's improvements in the scores of activity limitation,angina frequency,and subjective satisfaction items of SAQ-7 were significantly superior to those of the control group(P＜0.05).(4)After treatment,the CQQC scores in the treatment group was significantly improved(P＜0.05),while no significant improvement was observed in the control group(P＞0.05).The improvement of CQQC scores in the treatment group was significantly superior to that in the control group(P＜0.05).(5)After treatment,both groups showed improvements in 6MWD(P＜0.05),and the improvement in the treatment group was significantly superior to that in the control group(P＜0.05).(6)After treatment,the serum levels of inflammatory indicators of CRP and WMR in the treatment group were significantly improved(P＜0.05),while no significant improvements were presented in the control group(P＞0.05).The improvements in serum CRP level and WMR value in the treatment group were significantly superior to those in the control group(P＜0.05).(7)No adverse reactions were found in the treatment group,indicating high safety.Conclusion Fangxiang Wentong Powder acupoint application combined with Kuanxiong Aerosol is more effective than Isosorbide Monomitrate Sustained-Release Capsules,improving exercise tolerance,decreasing inflammatory factor levels,and improving the quality of life to some extent during the treatment of female patients with CSF.

Objective To find specific mechanisms through which immune cell activation affects central nervous system inflammation in Alzheimer's disease(Alzheimer's disease,AD).Methods The public single-cell human brain database GSE161045 was applied for analysis.Then bulk RNA sequencing was performed in 5×FAD mice,and the results were validated using immunofluorescence staining microscopy with brain paraffin sections from 5 × FAD mice.In the BV2 microglial cell line,AβOs were used to inducing activation and assessed the protein expres-sion of PARP9 and PARP14 with Western blot.Finally,the relationship between PARP9 and PARP14 expression and immune infiltration was examined.Results In AD case,the expression of PARP9 and PARP14 was significantly up regulated(P＜0.000 1)in human brain immune cells,particularly in M2-type microglia.This result was con-firmed by sequencing data from 5×FAD mice.Immunofluorescence staining of brain sections from 5×FAD mice showed up regulated expression of PARP9 and PARP 14 in microglia surrounding Aβ plaques.Furthermore,in HMC3 cell line,activation induced by AβOs led to a significant increase in the protein expression of PARP9 and PARP 14(P＜0.05).Conclusions The expression of PARP14 and PARP9 in microglia of AD patients and 5×FAD mice is significantly increased,and PARP9 and PARP 14 positive microglia are significantly aggregated around Aβplaques,indicating that PARP9 and PARP 14 are potentially involved in the immune regulation of microglia on Aβplaques and promote neuroinflammation in AD.