BACKGROUND/OBJECTIVES: Unhealthy diets are associated with chronic stress. An allostatic load (AL) is a comprehensive physiological index that measures the chronic stress response of the body. As a healthy dietary pattern, the role of Dietary Approaches to Stop Hypertension (DASH) in the development of an AL during pregnancy remains unclear. This study examined the relationship between the DASH dietary pattern and AL during pregnancy. SUBJECTS/METHODS: This study was a prospective study. From January 2024 to November 2024, 134 pregnant women in the second trimester (23–27 weeks) and third trimester (32–36 weeks) of pregnancy who met the inclusion and exclusion criteria in the obstetrics clinic of a tertiary general hospital in Anhui Province were selected for a questionnaire survey, physical examination, and laboratory examination. The DASH dietary pattern was assessed using the DASH scoring tool, and the total AL score was calculated using nine biomarkers that represent the cardiovascular, metabolic, and immune systems. Logistic regression was used to analyze the relationship between the DASH score and AL. RESULTS: One hundred and thirty-four pregnant women were included in this study. At the second and third trimesters, 41.8% and 37% of pregnant women, respectively, were in the high AL group. The binary logistic regression results showed that the DASH score was negatively correlated with the AL in the unadjusted model (odds ratio [OR], 0.878; 95% confidence interval [CI], 0.807–0.957; P = 0.003) and adjusted model (OR, 0.878; 95% CI, 0.792–0.973; P = 0.013) in the second trimester, the DASH score was negatively correlated with the AL in the unadjusted model (OR, 0.832; 95% CI, 0.758–0.913; P < 0.001) and adjusted model (OR, 0.806; 95% CI, 0.716–0.908; P < 0.001) in the third trimester. CONCLUSION The DASH score was negatively correlated with the AL in pregnant women.A low DASH score may increase the risk of a high AL, which may have adverse effects on physical and mental health.

Objective To assess the stability of the molluscicidal activity of the fermentation broth supernatant of Bacillus indicus F19, so as to provide insights into development of novel molluscicides derived from this isolate. Methods Healthy Oncomelania hupensis snails free from Schistosoma japonicum infections and acclimated in the laboratory for 7 days were selected. The fermentation broth supernatant of B. indicus F19 was prepared. For each treatment condition, four experimental groups and one control group were established, with 10 mL of the fermentation broth supernatant each group. O. hupensis snails were exposed to different pH values (3, 6, 9 and 12), temperatures (40, 60, 80 °C and 100 °C), and ultraviolet (UV) exposure durations (1, 2, 3 h and 4 h). Then, the supernatant was diluted with dechlorinated water to concentrations of 50%, 10%, and 5% (v/v), and 10 mL of each dilution solution was added to three separate tubes, with an equal volume of dechlorinated water as a blank control. Twenty O. hupensis snails were transferred to each tube, immersed for 48 h and 72 h, and collected for viability assessment using the shell-tapping method. The mortality of O. hupensis snails was calculated and compared among dilution groups and the blank control group to evaluate the molluscicidal activity of the fermentation broth supernatant of B. indicus F19. Results There was a significant difference in the mortality of O. hupensis snails immersed in 5% fermentation broth supernatants of B. indicus F19 for 48 h at various pH levels (χ² = 11.556, P < 0.05), and the mortality reduced to 13.33% (8/60) in the experimental groups at a pH value of 12, which was significantly lower than in the blank control group [33.33% (20/60)] (χ² = 6.708, P < 0.05). There was a significant difference in the mortality of O. hupensis snails immersed in 10% fermentation broth supernatants of B. indicus F19 for 72 h at various pH levels (χ² = 31.691, P < 0.001), and the mortality reduced to 71.67% (43/60) and 65.00% (39/60) in the experimental group at pH values of 9 and 12, which was significantly lower than in the blank control group [100.00% (60/60)] (χ² = 8.571 and 12.110, both P values < 0.01). The mortality of O. hupensis snails both reduced to 23.33% (14/60) following immersion in 5% fermentation broth supernatants of B. indicus F19 heated in a water bath at 80 °C and 100 °C for 48 h, which was lower than that of unheated O. hupensis snails [33.33% (20/60)] and snails heated in a water bath at 40 °C [35.00% (21/60)] and 60 °C [33.33% (20/60)], and there was no significant difference in the mortality of O. hupensis snails among groups (χ² = 3.898, P > 0.05). The mortality of O. hupensis snails was 68.33% (41/60), 66.67% (40/60), 65.00% (39/60), and 68.33% (41/60) following immersion in fermentation broth supernatants heated in a water bath at 40, 60, 80 °C and 100 °C for 72 h, which was all lower than that of snails in the control group [71.70% (43/60)]; however, there was no significant difference seen in the snail mortality among groups (χ² = 0.674, P > 0.05). The mortality of O. hupensis snails was 73.33% (44/60), 71.67% (43/60), 71.67% (43/60), and 75.00% (45/60) following 48 h immersion in 10% fermentation broth supernatants of B. indicus F19 irradiated by UV for 1, 2, 3 h and 4 h, 33.33% (20/60), 31.67% (19/60), 35.00% (21/60), and 33.33% (20/60) following 48 h immersion in 10% fermentation broth supernatants of B. indicus F19 irradiated by UV for 1, 2, 3 h and 4 h, and 71.67% (43/60) and 33.33% (20/60) following 48 h immersion in 10% fermentation broth supernatants of B. indicus F19 without UV irradiation, and no significant differences were found among groups (χ² = 0.229 and 0.150, both P values > 0.05). In addition, the mortality of O. hupensis snails was 76.67% (46/60), 71.67% (43/60), 70.00% (42/60), and 76.67% (46/60) following 72 h immersion in 5% fermentation broth supernatants of B. indicus F19 irradiated by UV for 1, 2, 3 h and 4 h, and 71.67% (43/60) in the control group, and there was no significant difference in the snail mortality among groups (χ² = 1.193, P > 0.05). Conclusion The molluscicidal action of the fermentation broth supernatants of B. indicus F19 is tolerant to high temperature and UV irradiation; however, the activity is attenuated under alkaline conditions.

OBJECTIVE To investigate the mechanism of Shenling baizhu san （SLBZS） in ameliorating ulcerative colitis （UC）. METHODS Mice were randomly divided into normal group， model group， and low-， medium-， high-dose SLBZS groups （3， 6， 12 g/kg）， with 10 mice in each group. Except for the normal group， mice in other groups were given free access to 3% dextran sulfate sodium solution for 7 days to establish UC models. Simultaneously， mice in each group were intragastrically administered corresponding medicinal liquid or double-distilled water once a day for consecutive 7 days. After the last administration， the histopathological morphology of colon tissues was observed； the serum levels of inflammatory factors including tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β） and IL-18 were detected； the total bile acid contents in liver， gallbladder and colon tissues were determined； the expression level of NOD-like receptor family pyrin domain-containing protein 3 （NLRP3） in colon tissues was tested. The expression levels of flora metabolism-related proteins [G protein-coupled receptor 41（GPR41），GPR43，farnesoid X receptor （FXR）， G protein-coupled bile acid receptor 1 （TGR5）， flavin-containing monooxygenase 3 （FMO3）， cytochrome P450 family 27 subfamily A member 1 （CYP27A1）， CYP7A1] in liver or colon tissues， as well as the proteins related to Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB）/NLRP3 inflammatory axis [TLR4， NF-κB， phosphorylated NF-κB （p-NF-κB）， myeloid differentiation factor 88 （MyD88）， NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， caspase-1] in colon tissues were measured. RESULTS Compared with the model group， the colon tissue injury and inflammatory cell infiltration were alleviated in medium- and high-dose SLBZS groups. The serum levels of TNF-α， IL-1β and IL-18， total bile acid contents in liver and colon tissues， as well as the protein expression levels of FMO3 and CYP7A1 in liver tissues， TLR4， p-NF-κB， NF-κB， MyD88， NLRP3， ASC and caspase-1 in colon tissues were significantly decreased （P＜0.05）. Meanwhile， the total bile acid content in gallbladder， the protein expression levels of GPR41 and GPR43 in colon tissues， along with CYP27A1， FXR and TGR5 in liver tissues were significantly increased （P＜0.05）. CONCLUSIONS SLBZS may relieve colonic inflammatory injury and ameliorate UC by regulating the expression of flora metabolism-related proteins and inhibiting the abnormal activation of TLR4/NF-κB/NLRP3 inflammatory axis.

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 investigate the prevalence and related factors of sarcopenia among non–bedridden older adults in the community of Baoshan District using the China mini sarcopenia risk assessment 7 (C-MSRA-7) combined with Ishii scoring system. Methods The older individuals consulting at 20 community health stations in Baoshan District between April 2025 and June 2025 were enrolled. Data were collected using a general information questionnaire, a dietary and lifestyle habits survey, the C-MSRA-7, and the mini nutritional assessment-short form (MNA-SF). Handgrip strength and anthropometric measurements were also obtained. Individuals with both Ishii score and C-MSRA-7 results positive were classified into the sarcopenia risk group, while the remaining participants were assigned to the non–sarcopenia risk group. Differences in lifestyle habits, dietary patterns, and nutritional status between the two groups were compared. Results A total of 2 611 valid questionnaires were retrieved. Univariate analysis showed statistically significant differences in alcohol consumption, physical activity frequency, body mass index (BMI), nutritional status, activities of daily living, and regularity of three meals in sarcopenia risk group (n＝486) and non–sarcopenia risk group (n＝2 125, P<0.05). Logistic regression analysis showed that advanced age (75–84 years: OR＝2.55, 95%CI 2.03–3.21; ≥85 years: OR＝3.98, 95%CI 2.24–7.07), underweight status (OR＝2.19, 95%CI 1.50–3.19), weight loss＞2 kg (OR＝4.52, 95%CI 2.68–7.64) past 3 months, lack of regular physical activity (OR＝1.77, 95%CI 1.24–2.52) , and alcohol consumption (OR＝1.48, 95%CI 1.07–2.05) were independent risk factors for sarcopenia (P<0.05). Behaviors related to healthy diet, including daily milk consumption (OR＝0.40, 95%CI 0.30–0.52), regular three meals (OR＝0.56, 95%CI 0.41–0.78), and high-quality protein intake (OR＝0.70, 95%CI 0.52–0.94), were protective factors (P<0.05). Conclusions Sarcopenia among community–dwelling, non–bedridden older adults is closely associated with physical activity levels, dietary habits, and nutritional status. Early identification of individuals at risk, enhanced nutritional education, and timely implementation of nutritional interventions and exercise programs are recommended for this population.

Objective To analyze the differences in clinical indicators between malignant insulinoma and benign in-sulinoma,in order to provide diagnostic and therapeutic insights for the early detection and diagnosis of malignant insulinoma.Methods A retrospective analysis was conducted in patients diagnosed and treated for insulinoma at Peking Union Medical College Hospital from January 2018 to June 2022.Among them,10 cases were diagnosed as malignant insulinoma.Twenty cases of benign insulinoma patients matched for age,sex,and body mass index(BMI),were randomly selected.Statistical analysis was performed to compare the differences between malignant and benign insulinomas.Results 1)Compared to benign insulinoma,malignant insulinoma showed significantly ele-vated C-peptide(CP)and C-peptide to glucose ratio(CPGlu)during hypoglycemia(blood glucose＜3.0 mmol/L)[6.04(3.40,6.76)vs 1.68(1.39,2.47)ng/mL,P＜0.05),2.25(1.12,3.58)vs 0.74(0.54,1.54),P＜0.05].The tumor diameter(DIA)was larger(1.9±0.6 vs 1.4±0.3 cm,P＜0.05),and the insulin level at 300 minutes(INS300)during the 5-hour oral glucose tolerance test(5 h OGTT)was significantly elevated(30.47±5.67 vs 9.67±3.32)μIU/mL,P＜0.01).Levels of blood tumor markers AFP,CEA,and CA724 were also increased(P＜0.05).2)Correlation analysis indicated that CP,CPGlu,DIA,INS300,AFP,CEA,and CA724 were positively correlated with malignant insulinoma during hypoglycemia.3)The ROC curve analysis suggested that the optimal cut-off points for distinguishing malignant from benign insulinomas were CP 2.49 ng/mL,CPGlu 1.31,DIA 1.85 cm,and INS300 20.22 μIU/mL,respectively.Conclusions In clinical practice,if an insulinoma patient has a CP level higher than 2.49 ng/mL and a tumor diameter larger than 1.9 cm during hypoglycemia,the possibility of malignant insulinoma should be considered,warranting further examinations and enhanced follow-up.Persistent elevation of AFP,CEA,and CA724 may indicate malignant insulinoma.

Objective To explore the economic toxicity perceptions and experiences of caregivers of colorectal cancer patients from the perspective of social ecological systems theory.Methods Using purposive sampling,18 caregivers of colorectal cancer patients hospitalized in the gastrointestinal sur-gery and oncology departments of a tertiary grade A hospital in Yangzhou were selected for semi-struc-tured interviews.The Colaizzi 7-step analysis method was employed to organize and analyze the data.Results Three main themes and nine sub-themes were extracted regarding the economic toxicity expe-riences and needs of caregivers of colorectal cancer patients.Microsystem included multiple negative experiences,impacted individual health,and difficulties in surrogate decision-making;mesosystem in-cluded heavy family financial burden,altered family lifestyle,and tense family atmosphere;macrosys-tem included needs for the scope and intensity of medical insurance reimbursement,needs for medical resources and services,and a desire for social support.Conclusion The ecological system of caregiv-ers of colorectal cancer patients is not optimistic,and is generally affected by economic toxicity.Inter-vention strategies can be sought from multiple aspects,including alleviating the negative experiences of caregivers,strengthening social support,and paying attention to the needs of caregivers,aiming to re-duce the level of economic toxicity among caregivers of colorectal cancer patients.

AIM To explore the clinical effects of Huayu Ditan Linao Decoction combined with Suhexiang Pills on elderly patients with cerebral hemorrhage in convalescent stage.METHODS One hundred and ten patients were randomly assigned into control group(55 cases)for 1-month intervention of both conventional treatment and rehabilitation training,and observation group(55 cases)for 1-month intervention of Huayu Ditan Linao Decoction,Suhexiang Pills,conventional treatment and rehabilitation training.The changes in clinical effects,TCM syndrome score,NIHSS score,FMA score,BI index,cerebrovascular function indices(dynamic resistance,average flow velocity,peripheral resistance,average flow rate),serum inflammatory indices(IL-6,hs-CPR,TNF-α)and serum oxidative stress indices(SOD,MDA)were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05).After the treatment,the two groups displayed decreased TCM syndrome score,NIHSS score,dynamic resistance,peripheral resistance,serum inflammatory indices,MDA(P＜0.05),and increased FMA score,BI index,average flow velocity,average flow rate,SOD(P＜0.05),especially for the observation group(P＜0.05).CONCLUSION For the elderly patients with cerebral hemorrhage in convalescent stage,Huayu Ditan Linao Decoction combined with Suhexiang Pills can enhance clinical effects,improve limb functions and nerve functions,regulate serum inflammatory and oxidative stress indice,and promote prognosis.

Aim To elucidate whether Astragaloside Ⅳcould ameliorate pathological myocardial hypertrophy and fibrosis via the EGR1-SIRT1-PPARα-SCAD signa-ling pathway in TAC mice.Methods After randomi-zing mice into groups,the Sham+AS-Ⅳ group and TAC+AS-Ⅳ group were intragastrically administered 20 mg·kg-1AS-Ⅳ once daily,whereas the Sham+NS group and TAC+NS group were given equivalent saline.Six weeks post-surgery,an evaluation of cardiac function was conducted,heart weight index was compu-ted,morphological alterations in heart were noted,vari-ations in collagen and myocardial hypertrophy indexes were analyzed,ATP content,free fatty acid content,hydroxyproline content,SCAD expression,and enzyme activity were measured,and an initial investigation into the protein expression of EGR1-SIRT1-PPARα-SCAD in myocardial tissues was undertaken.Results After AS-Ⅳ intervention,the heart weight index of TAC mice decreased(P＜0.01),LVAWd,LVAWs,LVPWd and LVPWs values decreased(P＜0.01,P＜0.05),EF％and FS％values increased(all P＜0.01),myocardial hypertrophy markers and collagen area decreased,FFA content,HYP content and collagen expression de-creased(all P＜0.01),SCAD enzyme activity and ex-pression increased(P＜0.01,P＜0.05),and ATP content increased(P＜0.01).The expression of EGR1 protein decreased,and the expression of SIRT1 and PPARα protein increased(all P＜0.01).Conclu-sions AS-Ⅳ may improve fatty acid oxidation via the EGR1-SIRT1-PPARα-SCAD signaling pathway,thereby ameliorating pathological myocardial hypertrophy and fibrosis in TAC model mice.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.