ObjectiveTo evaluate the effectiveness of stone needle thermocompression and massage compared to flurbiprofen gel patch in relieving chronic musculoskeletal pain in the shoulder and back， and to explore the potential mediating mechanism through muscle elasticity. MethodsA total of 120 patients with chronic musculoskeletal pain in the shoulder and back were randomly assigned to either stone needle group or flurbiprofen group， with 60 patients in each. The stone needle group received stone needle thermocompression and massage for 30 minutes， three times per week； the flurbiprofen group received flurbiprofen gel patch twice daily. Both groups were treated for 2 weeks. Pain improvement， as the primary outcome， was assessed using the Global Pain Scale （GPS） at baseline， after 2 weeks of treatment， and again 2 weeks post-treatment. To explore potential mechanisms， a mediator analysis was conducted by measuring changes in superficial and deep muscle elasticity using musculoskeletal ultrasound at baseline and after the 2-week treatment period. ResultsThe stone needle group showed significantly greater pain relief than the flurbiprofen group 2 weeks post-treatment. After adjusting for confounders related to pain duration， the between-group mean difference was -8.8 ［95% CI （-18.2， -0.7）， P＜0.05］. Part of the therapeutic effect was mediated by changes in deep muscle elasticity， with a mediation effect size of -1.5 ［95% CI （-2.0， -0.9）， P = 0.024］， accounting for 17.9% of the total effect. ConclusionStone needle thermocompression and massage can effectively relieve chronic musculoskeletal pain in the shoulder and back， partly through a mediating effect of improved deep muscle elasticity.

Objective: To analyze the epidemiological characteristics of mumps in Shanxi Province from 2014 to 2023, so as to provide scientific evidence for targeted prevention strategies. Methods: Mumps case data in Shanxi Province were obtained from the China Information System for Disease Prevention and Control. Descriptive epidemiological analysis and age-period-cohort (APC) analysis were carried out on the reported incidence of mumps from 2014 to 2023. Results: A total of 44 360 mumps cases were reported in Shanxi Province from 2014 to 2023, with an average annual incidence rate of 11.78/100 000. The incidence rates were high during 2017-2019, which were 21.00/100 000, 16.76/100 000, and 19.51/100 000, respectively. Males had a higher incidence rate (13.50/100 000) than females (9.98/100 000). Children aged 5-9 years were the most affected group, accounting for 47.29% of total cases. In 2017 and 2019, incidence rates among the 5-15-year-old group were particularly high, reaching 155.08/100 000 and 131.78/100 000, respectively. The APC model age effect, period effect and cohort effect of the reported incidence rate in the high-incidence population aged 0-20 years all had statistical significance ( P <0.05). The age-relative risk ( RR ) decreased from 1.75 in the 0-year-old group to 0.33 in the 20-year-old group, and the birth cohort RR decreased from 2.58 in 1994 to 0.26 in 2023. The morbidity risk of the population aged 0-20 years showed a trend of first increasing and then decreasing over time, among which it was the highest in 2017 ( RR =1.23) and the lowest in 2023 ( RR =0.29). Conclusions Shanxi exhibits cyclical mumps epidemics, with school-aged children as the high-risk population. School health management work should be carried out, and the surveillance of mumps in high-risk areas and the routine vaccination of two doses of mumps-containing vaccines for eligible children should be strengthened.

Objective To investigate the effect of tritiated water on the immune system of zebrafish and its potential molecular mechanism. Methods Zebrafish embryos (2.5 to 3 hours post-fertilization [hpf]) were exposed to 3.7 × 10⁴ Bq/mL tritiated water (tritiated water group), and those exposed to E3 culture medium were used as the control group. The mortality rate, hatching rate, deformity rate, heart rate, body length, yolk sac area, neutrophil count in the tail, immune-related gene expression, and immune-related protein expression of zebrafish in the two groups were determined. Then transcriptome technology was used to further analyze the possible mechanism of tritiated water affecting the immune system of zebrafish. Results Compared with the control group, zebrafish at 72 hpf in the tritiated water group had no significant changes in the mortality rate, hatching rate, deformity rate, body length, and yolk sac area((t = 0.9045, 0.5000, 1.0000, 0.7238, 0.0337, P = 0.4169, 0.6433, 0.3739, 0.4785, 0.9735), but had significantly increased heart rate(t = 4.575，P = 0.002). At 4 days post-fertilization (dpf), the neutrophil count in the tail of zebrafish in the tritiated water group was significantly increased(t = 2.563，P = 0.0196), the mRNA expression of TNF-α was significantly decreased(t = 2.891, P = 0.045), the protein expression of nuclear factor-kappa B (NF-κB) was significantly increased(t = 3.848, P = 0.018), and the protein expression of NLRP3 was significantly decreased(t = 14.98, P = 0.001). At 7 dpf, the neutrophil count in the tail and the protein expression levels of NF-κB, NLRP3, and interleukin-1β were significantly decreased(t = 3.772, 7.048, 15.620, 4.423, P = 0.014, 0.002, 0.0001, 0.012). Transcriptome sequencing revealed that differentially expressed genes were mainly enriched in the “neutrophil activation” and “platelet activation pathways” at 4 dpf and in the “neutrophil apoptosis”, “ferroptosis”, and “necroptosis” pathways at 7 dpf. Conclusion Tritiated water exposure induces a temporally dynamic immune response in zebrafish, potentially affecting immune homeostasis by regulating neutrophil activation and apoptosis, as well as the expression of NF-κB and NLRP3.

Objective: To explore the influencing factors for implementation of weight management services in primary medical and healthcare institutions, so as to provide references for implementing sustainable services of weight management. Methods: From May to June 2025, Pinghu City, Zhejiang Province was selected as the survey site. Personnel responsible for weight management in primary medical and healthcare institutions were selected as the survey subjects using a combined method of purposive sampling and snowball sampling. Based on the five core domains of the consolidated framework for implementation research (CFIR), a semi-structured interview outline for weight management services in primary medical and healthcare institutions was designed. Original data was collected through face-to-face semi-structured interviews. Interview data was organized and analyzed using framework analysis. Factors affecting weight management services were quantitatively analyzed by referencing CFIR's structural rating criteria. Results: A total of 21 participants completed interviews, covering positions in nutrition, endocrinology, traditional Chinese medicine, general practice, maternal health, and public health. There were 9 males and 12 females. Fifteen participants (71.43%) were aged 35 years and above, 18 (85.71%) held a bachelor's degree or higher, and 15 (71.43%) were frontline medical staff. Fifteen factors affecting weight management services were identified across five domains: innovation, outer setting, inner setting, individuals, and implementation process. Six barrier factors were identified: difficulties in policy implementation, time-consuming interventions, limited incentive measures, lack of professional skills, unclear weight-loss plans and goal setting, and imperfect follow-up and evaluation mechanisms. Three neutral factors were identified: the development and refinement of policies and regulations, the implementation of weight management training, and the optimization of the referral process within integrated healthcare systems (medical alliances / communities). Six facilitating factors were identified: the relatively significant advantages of lifestyle interventions, collaboration and coordination across multiple departments, cooperative communication among different units within the institution, the inherent convenience of primary care settings, a strong sense of professional responsibility, and the establishment of multidisciplinary teams. Conclusions The delivery of weight management services in primary medical and healthcare institutions is influenced by a wide array of factors across multiple domains. It requires policy support, multi-department coordination, a practice-oriented training system, optimized team resource allocation, incentives, and improved professional skills of medical staff to jointly promote long-term implementation.

Most cancers are currently incurable, partly due to abnormal post-translational modifications (PTMs). In this study, we initially used multiple myeloma (MM) as a working model and found that SUMOylation activating enzyme subunit 1 (SAE1) promotes the malignancy of MM. Through proteome microarray analysis, SAE1 was identified as a potential target for bioactive colcemid or its derivative colchicine. Elevated levels of SAE1 were associated with poor clinical survival and increased MM proliferation in vitro and in vivo. Additionally, SAE1 directly SUMOylated and upregulated the total protein expression of p27, leading to LLPS-mediated nuclear export of p27. Our study also demonstrated the involvement of SAE1 in other types of cancer cells, and provided the first monomer crystal structure of SAE1 and its key binding model with colchicine. Colchicine also showed promising results in the Patient-Derived Tumor Xenograft (PDX) model. Furthermore, a controlled clinical trial with 56 MM patients demonstrated the clinical efficacy of colchicine. Our findings reveal a novel mechanism by which tumor cells evade p27-induced cellular growth arrest through p27 SUMOylation-mediated nuclear export. SAE1 may serve as a promising therapeutic target, and colchicine may be a potential treatment option for multiple types of cancer in clinical settings.

OBJECTIVES: We propose a multi-feature fusion model based on manually extracted features and deep learning features from endoscopic images for grading rebleeding risk of peptic ulcers. METHODS: Based on the endoscopic appearance of peptic ulcers, color features were extracted to distinguish active bleeding (Forrest I) from non-bleeding ulcers (Forrest II and III). The edge and texture features were used to describe the morphology and appearance of the ulcers in different grades. By integrating deep features extracted from a deep learning network with manually extracted visual features, a multi-feature representation of endoscopic images was created to predict the risk of rebleeding of peptic ulcers. RESULTS: In a dataset consisting of 3573 images from 708 patients with Forrest classification, the proposed multi-feature fusion model achieved an accuracy of 74.94% in the 6-level rebleeding risk classification task, outperforming the experienced physicians who had a classification accuracy of 59.9% (P<0.05). The F1 scores of the model for identifying Forrest Ib, IIa, and III ulcers were 90.16%, 75.44%, and 77.13%, respectively, demonstrating particularly good performance of the model for Forrest Ib ulcers. Compared with the first model for peptic ulcer rebleeding classification, the proposed model had improved F1 scores by 5.8%. In the simplified 3-level risk (high-risk, low-risk, and non-endoscopic treatment) classification task, the model achieved F1 scores of 93.74%, 81.30%, and 73.59%, respectively. CONCLUSIONS The proposed multi-feature fusion model integrating deep features from CNNs with manually extracted visual features effectively improves the accuracy of rebleeding risk classification for peptic ulcers, thus providing an efficient diagnostic tool for clinical assessment of rebleeding risks of peptic ulcers.
Humans ; Deep Learning ; Peptic Ulcer ; Risk Assessment ; Peptic Ulcer Hemorrhage ; Recurrence

Phages, as obligate bacterial and archaeal parasites, constitute a virus group of paramount ecological significance due to their exceptional abundance and genetic diversity. These biological entities serve as critical regulators in Earth's ecosystems, driving biogeochemical cycles, energy fluxes, and ecosystem services across terrestrial and marine environments. Within soil microbiomes, phages function as microbial "dark matter," maintaining the soil-plant system balance through precise modulation of the microbial community structure and functional dynamics. Despite the growing research interests in soil phages in recent years, the proportion of such studies in environmental virology remains disproportionately low, which is primarily attributed to researchers' limited familiarity with the research methodologies for phage microecology, incomplete technical frameworks, and inherent challenges posed by soil environmental complexity. To address these challenges, this review synthesizes cutting-edge methodologies for soil phage investigation from four aspects: (1) tangential flow filtration (TFF)-based phage enrichment strategies; (2) integrated quantification approaches combining double-layer agar plating, epifluorescence microscopy, and flow cytometry; (3) multi-omics analytical pipelines leveraging metagenomics and viromics datasets; and (4) computational frameworks merging machine learning algorithms with eco-evolutionary theory for deciphering phage-host interaction networks. Through comparative analysis of methodological principles, technical merits, and application scopes, we establish a comprehensive workflow for soil phage research. Future research in this field should prioritize: (1) construction of soil phage resource libraries, (2) exploration of RNA phages based on transcriptomes, (3) functional characterization of unknown genes, and (4) deep integration and interaction validation of multi-omics data. This systematic methodological synthesis provides critical technical references for addressing fundamental challenges in characterizing soil phages regarding the community structure, functional potential, and interaction mechanisms with hosts.
Bacteriophages/physiology* ; Soil Microbiology ; Ecosystem ; Microbiota ; Metagenomics/methods*

ObjectiveTo explore the influence of "Internet plus" postpartum health care service on postpartum depression, and to provide an evidence for reducing the incidence of postpartum depression and improving the quality of life for postnatal women. MethodsMothers who gave birth between August 1, 2021 and June 30, 2023 lived in the six streets of Xuhui District were selected as the research subjects. The puerperants were randomly divided into the intervention group and the control group according to the order of enrollment using a numerical numbering system, with 210 cases in each of the intervention group and control group. The intervention group adopted the "Internet plus" postpartum health care services, while the control group adopted the conventional postpartum health care services. The risk factors related to postpartum mental health and the incidence of postpartum depression were compared between the two groups. ResultsThere was no statistically significant difference in the scores of postpartum mental health-related risk factors between the two groups at the first 2 weeks and 1st month after delivery (t=0.736 and t=1.260, P>0.05). However, there was a statistically significant difference in the scores of postpartum mental health-related risk factors at the 3rd months after delivery and 6th months after delivery (t=2.089, P<0.05; t=2.655, P<0.05). There was no statistically significant difference in depression scores at the first 2 weeks after the birth (t=0.560, P>0.05). In the 1st month, the 3rd month and the 6th month after delivery, the intervention group adopted the "Internet plus" postpartum health care service, thus the differences in depression scores were statistically significant (t=2.616, t=2.793 and t=3.107, P<0.05). Conclusion"Internet plus" postpartum health care service is conducive to reducing postpartum depression, promoting maternal mental health, and significantly improving the well-being of postnatal women.

Objective:To explore the anxiety level, influencing factors among surrogate decision-makers of patients with acute ischemic stroke during thrombolysis decision-making, and their correlation with decision-making duration.Methods:Acute ischemic stroke patients and their surrogate decision-makers who visited the Emergency Department of the First Affiliated Hospital of Zhengzhou University from September 2019 to December 2021 were selected as the research subjects.Sociodemographic data and disease related data of patients and surrogate decision-makers were collected.Surrogate decision-makers were evaluated with the state-trait anxiety inventory, decision participation expectation scale, Wake Forest physician trust scale, and perceived social support scale.SPSS 26.0 software was used for data processing.Pearson correlation analysis, Spearman correlation analysis and ridge regression analysis were used for statistical analysis.Results:The score of state anxiety of decision-makers was (49.47±9.04), and 18.2% (70/383) of decision-makers had a decision duration exceeding 15 minutes.The score of state anxiety of decision-makers was positively correlated with decision duration ( r=0.189, P<0.001). The influencing factors of state anxiety level of decision-makers included sociodemographic factors (age of decision-makers and patients, relationship between payers and patients, whether decision-makers bear the current medical expenses, type of medical insurance for patients), psychological factors (trust level in physicians, perceived social support), factors related to patient disease (numbers of stroke relapses, National Institutes of Health stroke scale scores for patients), characteristics of the decision-making process (whether patients participate in the decision-making process, and the role of decision-makers in the decision-making process) (all P<0.05). Conclusion:Most surrogate decision-makers experience anxiety.Medical staff should pay attention to the emotions of decision-makers and adopt appropriate communication skills when communicating with informed consent for thrombolysis, alleviate the anxiety of surrogate decision-makers, so as so reduce the decision-making duration.

Objective:To investigate the therapeutic effect difference between first-line treatment with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI) and chemotherapy in non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) rare mutation.Methods:A retrospective case-control study was performed. Data of NSCLC patients with rare EGFR mutation who were treated in Shanxi Province Cancer Hospital from January 2013 to October 2019 were retrospectively analyzed. EGFR mutations in living tissues or blood were detected by using amplification refractory mutation system-polymerase chain reaction (ARMS-PCR) before first-line treatment. According to first-line treatment methods,they were divided into EGFR-TKI treatment group and chemotherapy group. Objective remission rate (ORR) and disease control rate (DCR) of both groups were compared. Kaplan-Meier method was used to draw progression-free survival (PFS) and the overall survival (OS) curves. Log-rank test was used for comparison among groups. Single-factor and multi-factor Cox proportional risk models were used to analyze the influencing factors of PFS and OS.Results:A total of 169 patients with EGFR rare mutations were included, and the age [ M (IQR)] was 63 years (12 years); there were 96 cases (56.8%) < 65 years and 73 cases (43.2%) ≥65 years; 70 (41.4%)males and 99 (58.6%) females; 55 cases (32.5%) had EGFR G719X mutation,45 cases (26.6%) had L861Q mutation, 17 cases (10.1%) had S768I mutation, and 52 cases (30.8%) had complex mutation; 55 cases (32.5%) received the first-line chemotherapy and 114 cases (67.5%) received the first-line EGFR-TKI treatment. In the chemotherapy group, ORR was 36.4% (20/55) and DCR was 85.5% (47/55); in EGFR-TKI treatment group, ORR was 72.8% (83/114) and DCR was 90.4% (103/114). The ORR of EGFR-TKI treatment group was higher than that of chemotherapy group ( χ2 = 20.70, P = 0.001), and there was no statistically significant difference in DCR between two groups ( χ2 = 1.76, P = 0.184). Subgroup analysis showed that ORR in EGFR-TKI treatment group with G719X, L861Q and complex mutations was higher than that of the corresponding mutations in chemotherapy group, and the differences were statistically significant (all P < 0.05), while there were no significant differences in DCR among subgroups (all P > 0.05). The median PFS time was 9.7 months (95% CI: 6.0-13.4 months) and 3.8 months (95% CI: 3.1-7.1 months), respectively in EGFR-TKI treatment group and chemotherapy group, and there was a statistically significant difference in PFS between the two groups ( P < 0.001). The median OS time was 25.6 months (95% CI: 18.0-37.9 months) and 31.7 months (95% CI: 18.0-42.8 months), respectively in EGFR-TKI treatment group and chemotherapy group, and there was no statistically significant difference in OS between the two groups ( P = 0.231). Multivariate Cox regression analysis showed that brain metastasis [with vs. without: HR = 2.306, 95% CI: 1.452-3.661, P < 0.001] and the first-line treatment methods (EGFR-TKI vs. chemotherapy: HR = 0.457, 95% CI:0.317-0.658, P < 0.001) were independent influencing factors for PFS of NSCLC patients with EGFR rare mutation; brain metastasis (with vs. without: HR = 2.087, 95% CI: 1.102-3.953, P = 0.024; unknown vs. without: HR = 2.118,95% CI: 1.274-3.520, P = 0.004) were independent influencing factors for OS of NSCLC patients with EGFR rare mutation. Conclusions:Compared with the first-line chemotherapy, EGFR-TKI first-line treatment could improve objective remission and PFS of NSCLC patients with EGFR rare mutation, while no OS benefit is observed.