Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

Background/Aims: Cholangiocarcinoma (CCA) is a primary malignant neoplasm with an extremely poor prognosis. While combined chemoradiotherapy has been demonstrated to delay CCA progression to a certain extent, the absence of specific molecular biomarkers or targets significantly hinders the diagnosis and treatment of CCA. Methods: Through cross-analysis of proteomics and ADMA modificationomics, we identified DDX1 overexpressed in CCA with elevated R602-ADMA modifications. HPLC-MS/MS identified PRMT1 as the methyltransferase and USP10 as the deubiquitinating enzyme for DDX1. Immunofluorescence and nuclear-cytoplasmic partitioning experiments confirmed DDX1’s nuclear localization. GO and KEGG analyses clarify the biological functions of DDX1 in response to hypoxia. RNA-seq transcriptomics analyzed key pathways influenced by DDX1. A hydrodynamic in situ CCA mouse model was established to validate the chemopreventive effects of the PRMT1-specific inhibitor GSK715 on CCA development. Results: DDX1 promotes CCA progression both in vivo and in vitro and can be inhibited by GSK715. Mechanistically, PRMT1 mediates ADMA modification at position R602 of DDX1. This modification promotes DDX1 nuclear localization by recruiting USP10 to deubiquitinate DDX1, while simultaneously inhibiting PRMT1 degradation. DDX1 promotes the transcription of PRMT1 and USP10 by binding to the mRNA 3’UTR region, establishing a positive feedback regulatory pathway. This mechanism promotes the occurrence and development of CCA and can serve as a target for the inhibitor GSK715 to suppress CCA progression. Conclusions Our study identified DDX1-R602-ADMA modification as a novel ADMA modification in CCA. It further confirmed its pivotal role in CCA progression. Targeting the USP10-PRMT1-DDX1 axis may represent a significant therapeutic approach for CCA.

Objective On the basis of the theory of the tumor metastatic state, this work aims to explore the metastasis trajectories and peripheral immune response patterns in patients with non-small cell lung cancer (NSCLC) receiving vital qi-strengthening and toxin-eliminating therapy (Fuzheng Juandu) and reveal the value of peripheral immunity in assessing vital qi deficiency during metastasis. Methods A retrospective study design was adopted. Patients with NSCLC admitted from January 1, 2018, to October 31, 2025 were enrolled. Data on metastasis status and peripheral immune indices were collected at the follow-up time points of one, two, three, and five years. Group-based trajectory modeling was used to fit metastasis trajectories, and the independent predictors of trajectory grouping were analyzed through multifactor and multiclassification logistic regression. Results A total of 184 patients with NSCLC were included, and three different groups of metastasis trajectories were identified, namely, the low-risk stable (46.74%, n=86), low-risk rising (13.59%, n=25), and high-risk stable (39.67%, n=73) groups. Univariate analysis revealed substantial differences in peripheral immune indices among the three trajectory groups. Multivariate analysis showed that TNM stage, absolute neutrophil count, lymphocyte count, absolute monocyte count, platelet volume, SAA:CRP ratio, and NLR were independent predictors of the low-risk rising group, whereas TNM stage, absolute monocyte count, basophil count, SII, and NLR were independent predictors of the high-risk stable group. Conclusion Under Fuzheng Juandu therapy, patients with NSCLC exhibit three distinct metastasis trajectories, each corresponding to a specific peripheral immune response pattern. Elucidating these peripheral immune response patterns may facilitate the objective quantification of the degree of vital qi deficiency, prediction of future metastasis risk, and providing an important reference for the individualized clinical implementation of Fuzheng Juandu therapy.

With the rapid advancement of vaccines, the research and application of vaccine adjuvants have garnered significant attention. Despite the development of numerous vaccine adjuvants, their applications in human vaccines remain limited due to either insufficient efficacy or severe side effects. Consequently, there is growing interest in developing bioactive compounds derived from traditional Chinese medicines (TCMs) as vaccine adjuvants, owing to their natural biocompatibility, diversity, and safety. Here, we systematically review the current application status and potential value of TCM-based bioactive compounds in vaccine adjuvants. Firstly, we elaborate on the types and characteristics of active ingredients, such as polysaccharides, saponins, flavonoids, acids, and alkaloids. The mechanisms by which these compounds function as vaccine adjuvants are then discussed, including their roles in enhancing humoral immunity, cellular immunity, and relieving the immune suppression in the microenvironment. Additionally, we summarize the current strategies for structural modification and platform optimization to adapt to different application scenarios. Finally, we offer insights into the future development directions for these potential adjuvants, highlighting research priorities, technical approaches, and application prospects. In conclusion, natural vaccine adjuvants derived from TCMs present broad application prospects and hold promise for future vaccine development.

Objective:To explore the application value of the "Dual-Wing" traction technique in the medial & head lateral laparoscopic left hemicolectomy with radical resection.Methods:The "Dual-Wing " traction technique is based on the theory of mesenteric anatomy. The assistant lifts the proper mesentery of the digestive tract to be resected or the adjacent mesenteric tissue connected to it,thereby elevating the target organ and its mesentery as a whole away from the mesenteric bed. By utilizing the tension transmission between the proper mesenteries of adjacent organs to create counter-tension,the surgeon's operative actions are always maintained along the line of maximum counter-tension.After incising the mesenteric fusion line,this technique assists the surgeon in entering the fusion plane. A descriptive case series study method was adopted to retrospectively analyze the clinical and pathological data of 37 colorectal cancer patients who underwent laparoscopic left hemicolectomy with the "Dual-Wing" traction technique via a medial and cephalad approach, performed by the Department of Gastrointestinal Surgery at Dongjie Campus of the First Hospital of Quanzhou, Fujian Medical University, from May 2023 to November 2023.Results:All patients successfully underwent laparoscopic left hemicolectomy via the medial & head lateral approach using the "Dual-Wing" traction technique.The surgery adhered to the principles of total mesocolic excision and safely mobilized the left colon and its mesentery from the correct anatomical plane. In the entire group of patients,there were 14 males and 23 females; the mean operative time was 94.1±18.3 minutes; the mean intraoperative blood loss was 9.8±5.4 ml; the mean number of lymph nodes dissected was 18.1±3.9; the mean number of positive lymph nodes was 1.4±1.6; the pathological specimen resection margin grading was Grade A in 29 cases, Grade B in 8 cases, and no Grade C cases; the tumor TNM staging was Stage I in 3 cases, Stage IIA in 7 cases, Stage IIB in 6 cases, Stage IIIA in 2 cases, Stage IIIB in 15 cases, and Stage IIIC in 4 cases; the mean time to first flatus postoperatively was 35.7±7.5 hours; the mean length of hospital stay was 9.1±1.7 days. There were no intraoperative injuries to the pancreas or spleen. Postoperative complications occurred in 3 cases. No anastomotic leakage was observed in the entire group, and there were no deaths following the surgery.Conclusion:The application of the "Dual-Wing" traction technique to establish a stable surgical scenario can significantly reduce the demands on the assistant. It is conducive to maintaining mesenteric tension and fully exposing the surgical field. It also allows for the rapid identification and maintenance of the correct anatomical plane. For colorectal cancer patients, the surgery is safe and feasible, with satisfactory short-term therapeutic effects.

Objective:To apply patent metrics to analyze the distribution, development trends, and characteristics of patents related to orthokeratology lenses for assisted wearing, providing a reference for the research and development of such patents.Methods:Patents related to orthokeratology lenses for assisted wearing were retrieved by computer from the China National Intellectual Property Administration database, incopat, Derwent Innovations Index, Free Patents Online, Organisation Africaine de la Propriété Intellectuelle, and IP Australia. The search timeframe was from the establishing of these databases until March 8, 2024. Patent metrics methods, word frequency analysis, and high-frequency word co-occurrence analysis were used for data analysis.Results:A total of 60 relevant patents were selected. The development of orthokeratology lens-assisted wearing patents began relatively late but has shown a strong growth trend, reaching a peak around 2015. Chinese patents accounted for the largest share (91.7%, 55/60) , with Zhejiang Province, Beijing City, Jiangsu Province, Guangdong Province, and Shanghai City having the highest number of patents. The majority of the applicants were enterprises. The research focus in this field is on mechanical assistance patents for lens wearing, with cutting-edge technologies focusing on monitoring the displacement of lenses relative to the pupil and providing timely feedback and guidance.Conclusions:This study, using patent metrics, word frequency analysis, and high-frequency word co-occurrence analysis, provides a reference for patent applications and product development in orthokeratology lens-assisted wearing in nursing.

In order to accurately capture the respiratory muscle movement and extract the synchronization signals corresponding to the breathing phases, a comprehensive signal sensing system for sensing the movement of the respiratory muscle was developed with applying the thin-film varistor FSR402 IMS-C07A in this paper. The system integrated a sensor, a signal processing circuit, and an application program to collect, amplify and denoise electronic signals. Based on the respiratory muscle movement sensor and a STM32F107 development board, an experimental platform was designed to conduct experiments. The respiratory muscle movement data and respiratory airflow data were collected from 3 healthy adults for comparative analysis. In this paper, the results demonstrated that the method for determining respiratory phase based on the sensing the respiratory muscle movement exhibited strong real-time performance. Compared to traditional airflow-based respiratory phase detection, the proposed method showed a lead times ranging from 33 to 210 ms [(88.3 ± 47.9) ms] for expiration switched into inspiration and 17 to 222 ms [(92.9 ± 63.8) ms] for inspiration switched into expiration, respectively. When this system is applied to trigger the output of the ventilator, it will effectively improve the patient-ventilator synchrony and facilitate the ventilation treatment for patients with respiratory diseases.
Humans ; Respiratory Muscles/physiology* ; Signal Processing, Computer-Assisted ; Movement/physiology* ; Respiration ; Monitoring, Physiologic/methods* ; Adult

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

Immunotherapy for cancer,as an emerging treatment modality,has made significant strides in recent years and has become a crucial therapeutic approach following surgery,radiotherapy,chemotherapy,and targeted therapy.In particular,the clinical utilization of immune checkpoint inhibitors(ICIs)has not only enhanced the survival rates of patients with refractory or recurrent tumors but has also significantly optimized the overall strategy for cancer treatment.However,as the population undergoing cancer immunotherapy continues to grow,this expansion not only yields clinical benefits but also precipitates a range of specific adverse reactions known as immune-related adverse events(irAEs).Pleural effusion is a common and severe complication in cancer patients,significantly affecting both their quality of life and treatment outcomes.Typically,tumor-related pleural effusion is often due to pleural metastasis,with malignant pleural effusion(MPE)characterized by rapid growth,being difficult to control,and tendency for recurrence.With the approval of new drugs and the expansion of indications for existing medications,the number of cancer patients receiving ICIs treatment is increasing,bringing ICIs-related pleural effusion into focus.While ICIs treatment-related pleural effusion is relatively rare in clinical practice,it is closely linked to treatment choices of patients and prognosis.Unlike MPE,the pathogenesis of ICIs treatment-related pleural effusion is more complex,not only involving non-specific immune activation leading to autoimmune inflammatory reactions but also potentially related to nodular pleural granulomatous reactions,eosinophilic chronic pleurisy,and tumor-infiltrating lymphocytes.In terms of diagnosis,ICIs treatment-related pleural effusion is typically diagnosed through exclusion,requiring the exclusion of other causes such as tumor progression,radiotherapy,and chemotherapy-induced pleural effusion,adding complexity and difficulty to the diagnostic process.Treatment for ICIs treatment-related pleural effusion often involves glucocorticoids,tocilizumab,or infliximab,aiming to alleviate symptoms and improve prognosis by suppressing excessive immune reactions.Preventing the occurrence of ICIs treatment-related pleural effusion is equally crucial,necessitating comprehensive patient assessment before ICIs administration and continuous monitoring during treatment to promptly detect and manage potential adverse reactions.Through this comprehensive management approach,the impact of ICIs treatment-related pleural effusion on patient quality of life and treatment outcomes can be minimized,optimizing overall treatment results.This review aimed to explore the pathogenesis,histological features,clinical manifestations,diagnostic methods and treatment strategies of ICIs treatment-related pleural effusion,and delve into the characteristics of ICIs treatment-related pleural effusion,in order to enhance understanding of this complication and provide a reference for clinical practice.