This paper systematically reviews the current status of integrated traditional Chinese and western medicine in the treatment of Helicobacter pylori （Hp） infection， as well as recent progress in clinical and basic research both in China and internationally. It summarizes the advantages of traditional Chinese medicine （TCM） in Hp infection management， including improving Hp eradication rates， enhancing antibiotic sensitivity， reducing antimicrobial resistance， decreasing drug-related adverse effects， and ameliorating gastric mucosal lesions. These advantages are particularly evident in patients who are intolerant to bismuth-containing regimens， those with refractory Hp infection， and individuals with precancerous gastric lesions. An integrated， whole-process management approach and individualized， staged comprehensive treatment strategies combining TCM and western medicine are proposed for Hp infection. Future prevention and control of Hp infection should adopt an integrative Chinese-western medical strategy， emphasizing prevention， strengthening primary care， implementing proactive long-term monitoring， optimizing screening strategies， and advancing the development of novel technologies and mechanistic studies of Chinese herbal interventions. These efforts aim to provide a theoretical basis and practical pathways for the establishment and improvement of Hp infection prevention and control systems.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

Objective This study aimed to investigate the seasonal variation of mosquitoes in Yantai, Shandong Province, and provide a scientific basis for mosquito and mosquito-borne disease control. Methods From March to November for each of the years between 2020 and 2023, adult mosquitoes were collected from different habitats, including parks, hospitals, urban residential areas, rural households and livestock sheds, in 13 counties of Yantai City using a mosquito trap lamp method, among which, female mosquitoes were separated and identified, and the numbers were counted. We used the circular distribution method to analyze the temporal distribution characteristics of mosquito density. Results The γ values obtained for mosquitoes in Yantai from 2020 to 2023, the distribution of mosquitoes in different habitats, and dominant mosquito species in different months showed strong seasonality, with values ranging from 0.7461 to 0.8531(P ＜ 0.05). The peak period of seasonal variation in mosquitoes occurred from June 28thto September 13th, with August 5thbeing identified as the peak day. The peak periods of seasonal variation in mosquitoes in residential areas, parks, hospitals, peasant households, and animals sheds were observed from June 24thto September 14th, June 25thto September 10th, June 22ndto September 12th, July 1stto September 9th, and July 2ndto September 17th, respectively, with corresponding peak days on August 4th,3rd, 2nd, 5th, and 9th, respectively. The peak periods of Culex pipiens pallens, Aedes albopictus, and Anopheles sinensis were from June 26thto September 11th, June 28thto September 17th, and July 12thto September 17th, respectively, with corresponding peak days on August 3rd,7th, and 14th, respectively. Conclusions Our findings in this study revealed that the peak of mosquito activity in Yantai was concentrated in early August, with a peak period extending from June 28thto September 13th, and there were differences between different habitats(with peak periods for rural households and livestock sheds occurring later than those in residential areas, parks, and hospitals). Moreover, with respect to the mosquito species, populations of Cx. pipiens pallens and Ae. albopictus peaked earlier than those of An. sinensis. Based on these findings, we recommend that city-wide mosquito control work should commence in late June, and include appropriate early prevention and control measures for key habitats, such as livestock sheds, and dominant mosquito species, such as Cx. pipiens pallens, to minimize the density of mosquito vectors and the risk of disease transmission.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Armeniacae Semen Amarum， the dried mature seeds of plants such as Prunus armeniaca var. ansu （Rosaceae）， have a long history for medicinal use. Modern research indicates that the core active compounds of Armeniacae Semen Amarum， such as amygdalin， fatty acids， and volatile oils， exhibit multiple pharmacological effects including antitussive， bronchodilatory， anti-inflammatory， antioxidant， antitumor， antifibrotic， and immunomodulatory effects. Consequently， their potential applications in treating respiratory diseases， tumors， tissue injury， and metabolic disorders have garnered significant attention. However， a systematic integrated analysis of the relationship between the traditional efficacy， modern pharmacology， key material basis， and multi-pathway mechanisms of Armeniacae Semen Amarum remains lacking. Using bibliometric methods combined with CiteSpace visualization technology， this study systematically summarizes the research hotspots on Armeniacae Semen Amarum and its representative component amygdalin， including the key roles in inflammation regulation， apoptosis induction， cell cycle arrest， oxidative stress balance， and fibrosis modulation. This article reviews the research progress in Armeniacae Semen Amarum across from four major dimensions—traditional applications， visualization analysis， material basis， and modern pharmacological studies， providing a reference for the further basic and clinical studies of Armeniacae Semen Amarum in respiratory diseases， oncology， and immune-related disorders.

Objective: To construct an interpretable machine learning prediction model for medical students short-video addiction and to identify the core influencing factors, in order to provide evidence-based basis for accurate screening and intervention of medical students short -video addiction behavior. Methods: In January 2025, a convenience sampling method was used to select 601 medical students in a medical college from Nanyang in Henan Province. Data on short-video addiction, psychological status and other related information were collected by using Short-form Video Addiction Scale, Depression Anxiety Stress Scales-21 (DASS-21), UCLA Loneliness Scale (3 edition), Self-control Scale (SCS), Perceived Social Support Scale, Medical Student Stress Scale (MSSS). Interpretable machine learning models were constructed based on K nearest neighbor (KNN), support vector machine (SVM), lightweight gradient boosting machine (LightGBM) and extreme gradient boosting (XGBoost), and the model interpretation was performed by SHapley Additive exPlanations (SHAP) value method. Results: Lasso regression identified four predictive factors: SCS score, DASS-21 depression/anxiety score, and MSSS score were four predictors. The comparison of model performance showed that LightGBM had the highest Area Under the Curve (AUC) (0.905), followed by SVM (0.899), XGBoost (0.892) and KNN (0.890). The Brier score of LightGBM was 0.120, and the calibration curve showed that the predicted probability was in good agreement with the actual probability. SHAP analysis showed that the importance of the predictors of short-video addiction of medical students was as follows:DASS-21 anxiety score, DASS-21 depression score, SCS score and MSSS score. Conclusions Both LightGBM and SVM models have good performance, demonstrating preliminary potential for identifying individuals with high risk of addiction. Depression, anxiety, and academic stress are the main positively correlated factors, while self-control ability is a negatively correlated factor.

OBJECTIVE To explore the early detection of large vestibular aqueduct syndrome(LVAS)in children by applying several audiological indicators.METHODS Ninety-two children with hearing loss(aged 1-70 months)were enrolled and divided into an LVAS group(45 cases)and a control group(47 cases).Eleven audiological indicators were statistically analyzed:lateral of hearing loss,the degree of hearing loss,configuration of hearing loss;ABR air-conduction threshold;ABR air-bone gap;ASSR average threshold;ASSR thresholds at 0.5,1,2,and 4 kHz;and tympanogram type.Indicators showing significant two-group differences were used to construct a visualized multifactorial linear prediction model using the R language.RESULTS Nine indicators demonstrated statistically significant differences between groups(P<0.05):laterality,configuration of hearing loss,ABR air-conduction threshold,ASSR average threshold,ASSR thresholds at all frequencies(0.5,1,2,4 kHz),and tympanogram type.A prediction model was established.When the total model score ranged between 200 and 240 points,the predicted LVAS risk probability was 0.1 to 0.99.The consistency index(C-index)was 0.85,indicating good predictive ability of the model.CONCLUSION The identified nine audiological indicators are valuable for the early detection of LVAS in children.The developed model can estimate LVAS risk.After refinement,this model holds potential to support early clinical diagnosis and intervention.

OBJECTIVE To investigate the expression characteristics and regulatory mechanisms of the circadian clock gene period circadian regulator 1(PER1)and the tumor suppressor gene serine peptidase inhibitor Kazal type 5(SPINK5)in head and neck squamous cell carcinoma(HNSCC),and to elucidate the molecular mechanism by which PER1 regulates SPINK5 transcription via the NF-κB signaling pathway.METHODS Differentially expressed genes in HNSCC were screened using The Cancer Genome Atlas(TCGA)and GSE205155 datasets.The association between SPINK5 expression and patient prognosis was assessed via the GEPIA database.mRNA and protein expression levels of SPINK5 and PER1 in 60 clinical samples were detected by RT-qPCR,immunohistochemistry,and Western blot.PER1 knockdown(using siRNA)and overexpression(via plasmid transfection)were performed in the AMC-HN-8 cell line.Wound healing and colony formation assays were applied to evaluate the effects of PER1,SPINK5,and their interaction on HNSCC cell migration and proliferation.Western blot was utilized to examine the regulatory effect of NF-κB on SPINK5.RESULTS SPINK5 and PER1 were significantly downregulated in HNSCC tissues(all P<0.01),and their low expression was correlated with poor patient prognosis(for SPINK5,HR=0.69,P=0.006 7).A significant positive correlation was observed between PER1 and SPINK5 expression(R2=0.719 2,P=0.001 0).Knockdown and overexpression of PER1 respectively resulted in synchronous alterations in SPINK5 mRNA levels(all P<0.05).PER1 knockdown enhanced cell migration and proliferation(P<0.05),whereas SPINK5 overexpression suppressed these capabilities(P<0.01).Importantly,SPINK5 overexpression reversed the phenotypic changes induced by PER1 knockdown.Mechanistically,PER1 overexpression led to concomitant changes in NF-κB expression,activating the NF-κB pathway and thereby promoting SPINK5 transcription.CONCLUSION PER1 positively regulates SPINK5 transcription via the NF-κB pathway,inhibiting HNSCC cell proliferation and migration.These findings suggest that PER1 and SPINK5 may serve as potential therapeutic targets for HNSCC.

A molecularly imprinted electrochemical sensor for rapid detection of tenuazonic acid(TeA)was developed based on the Au-MoS2/MOF(Fe2+/Fe3+)high-efficiency catalytic cycle amplification strategy,using p-aminobenzoic acid(PABA)as the functional monomer,and TeA as the template molecule.The molecularly imprinted polymer(MIP)was prepared on the surface of Au-MoS2/MOF(Fe2+/Fe3+)modified electrode through electropolymerization.By introducing flower-like MoS2 nanoflakes(MoS2 NFs)as a co-catalyst into a mixed-valence structured Fe-MOF(Fe2+/Fe3+),the H2O2 electrochemical signal of the MIP/Au-MoS2/MOF(Fe2+/Fe3+)/GCE was significantly enhanced.Under optimal conditions,the sensor exhibited good selectivity and high sensitivity toward TeA.A linear relationship(R2=0.992)was observed between the electrochemical response and TeA concentration in the range of 0.001-10 μg/kg,with a detection limit of 0.3 ng/kg.The developed method was successfully applied to determination of TeA in fruit samples,with recoveries ranging from 90.8%to 110.8%,and relative standard deviations from 1.9%to 8.4%.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.