Objective: To explore the correlation between gut microbiota and renal cell carcinoma (RCC) with Mendelian randomization analysis. Methods: Data involved with genome-wide association of the gut microbiome were retrieved from MiBioGen Consortium as the exposure group data，and RCC data were obtained from the FinnGen GWAS database.Next，a rigorous Mendelian randomization analysis was conducted utilizing multiple methods，including inverse variance weighted (IVW)，MR-Egger，maximum likelihood，and weighted median.Additionally，sensitivity analysis was performed to address heterogeneity and horizontal pleiotropy concerns. Results: A total of 2564 single nucleotide polymorphisms (SNPs) from the complete gut microbiota were analyzed.IVW analysis showed that bacillus (OR=0.780，95% CI:0.614-0.991，P=0.042) and anaerobic bacillus (OR=0.723，95% CI:0.533-0.981，P=0.037) reduced the risk of RCC.Actinomycetes (OR=1.302，95% CI：1.015-1.672，P=0.038)，family Ⅺ (OR=1.197，95% CI: 1.023-1.400，P=0.024)，coprococcus 2 genera (OR=1.440，95% CI：1.046-1.982，P=0.026)，clostridium lactate (OR=1.732，95% CI:1.254-2.392，P=0.001) and Odoribacter (OR=1.685，95% CI:1.150-2.469，P=0.007) were associated with an increased risk of RCC.Sensitivity analysis did not identify any abnormal SNPs，indicating the robustness and reliability of our findings. Conclusion: There may be a cause-and-effect relationship between different types of gut microbiota and genetically predited renal cell carcinoma，and different microbiota may be respectively associated with an increase or decrease in RCC.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

As a type of experiential psychotherapy,Satir communication model can help the individual system and the family system achieve a state from dysfunction to healthy function,which can enrich the intervention connotation of family support and provide a new direction for the realization of full-life circle care.This paper aims to introduce the concept,core elements,common treatment techniques,application and effects,current challenges and relevant suggestions of Satir communication model in the nursing field from the perspective of family support,in order to provide references for the localization development and clinical integration of Satir communication model in the field of nursing in China.

AIM:This study aims to examine the ependymin-related protein 1(EPDR1)expression in various tissues from wild-type C57BL/6 mice and type 2 diabetes(db/db)mice.The impact of EPDR1 on lipid accumulation in al-pha mouse liver 12(AML12)hepatocytes was also investigated.METHODS:Western blot was used to detect EPDR1 protein expression in the heart,liver,spleen,lung,kidney,gastrocnemius,brown adipose and brain tissues of C57BL/6 mice.Western blot and immunohistochemical(IHC)staining were also used to compare EPDR1 protein expression in the liver,gastrocnemius muscle,heart and kidney tissues of db/db and C57BL/6 mice.To develop an AML12 cell lipid deposi-tion model,palmitic acid(PA)+oleic acid(OA)was used,and the cells were transfected with adenovirus overexpressing EPDR1 or treated with exogenous recombinant EPDR1 protein(rEPDR1).ELISA was conducted to determine intracellu-lar triglyceride(TG)content,and oil red O staining was employed to assess the effect of EPDR1 on lipid accumulation in AML12 cells.RESULTS:Western blot and IHC staining results revealed that EPDR1 was widely expressed in various tis-sues of wild-type mice,with the liver exhibiting the highest protein expression level.However,EPDR1 expression was down-regulated in the liver,gastrocnemius muscle,heart and kidney tissues in diabetic db/db mice compared with wild-type mice.Oil red O staining revealed that overexpression of EPDR1 in AML12 liver cells or rEPDR1 treatment led to re-duced lipid accumulation.Furthermore,the TG content significantly decreased compared with the model group(P<0.05).CONCLUSION:EPDR1 is expressed in various tissues of wild-type mice,but showed diminished expression in the liver tissues of diabetic mice.Nevertheless,enhancing the expression of EPDR1 can aid in reducing lipid accumula-tion in hepatocytes.These findings provide an experimental foundation for further exploration of the role of EPDR1 in the development of fatty liver in diabetic liver tissue.

Objective:To investigate the clinical value of adjuvant therapy after conversion resection for pancreatic cancer.Methods:The retrospective cohort study was conducted. The clinicopathological data of 173 patients with pancreatic cancer who underwent surgical resection after neoadjuvant and/or induction therapy in The First Affiliated Hospital of Naval Medical University from January 2019 to December 2021 were collected. There were 107 males and 66 females, aged (59±9)years. Observation indicators: (1) comparison of clinicopathological data between patients with and without adjuvant therapy after conversion resection for pancreatic cancer; (2) analysis of influencing factors for prognosis of pancreatic cancer after conversion resection; (3) follow-up and prognosis; (4) survival benefit of adjuvant therapy in subgroup populations. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the non-parameter rank sum test. The Graphpad prism 8 software was used to draw survival curves, the Kaplan-Meier method was used to calculate survival time and survival rates, and the Log-Rank test was used for survival analysis. The COX proportional hazards regression model was used for univariate and multivariate analyses. Interaction analysis was used to determine the benefit of adjuvant therapy in subgroup populations. Results:(1) Comparison of clinicopathological data between patients with and without adjuvant therapy after conversion resection for pancreatic cancer. Of the 173 pancreatic cancer patients, there were 108 cases with adjuvant therapy after conversion resection and 65 cases without adjuvant therapy after conversion resection, respectively. Age and body mass index were (58±9)years and (23.2±2.8)kg/m 2 in patients with adjuvant therapy, versus (61±8)years and (22.2±2.8)kg/m 2 in patients without adjuvant therapy, showing significant differences in the above indicators between them ( t=-2.036, 2.200, P<0.05). (2) Analysis of influencing factors for prognosis of pancreatic cancer after conversion resection. Results of multivariate analysis showed that CA19-9 normalization, pathological N staging, degree of tumor differentiation and postoperative adjuvant therapy were independent factors influencing overall survival time in pancreatic cancer patients receiving conversion resection ( hazard ratio=1.598, 1.541, 2.004, 2.571, 95% confidence interval as 1.041-2.453, 1.021-2.327, 1.288-3.118, 1.721-3.843, P<0.05). (3) Follow-up and prognosis. All 173 patients were followed up for 24.5(5.0,52.0)months. The postoperative median overall survival time of 173 patients was 28.9(5.7,51.9)months, and the 1-, 2-, 3-year overall survival rates were 90%, 59%, 40%, respectively. Of 2019, 2020, 2021, the proportions of patients receiving adjuvant therapy after conversion resection were 62.8%(27/43), 57.7%(30/52) and 65.4%(51/78) respectively. The postoperative median overall survival time was 42.2(8.8,49.7)months in patients with adjuvant therapy after conversion resection, versus 20.4(5.7,51.9)months in patients without adjuvant therapy after conversion resection, showing a significant difference between them ( χ2=29.893, P<0.05). (4) Survival benefit of adjuvant therapy in subgroup populations. Results of interaction analysis showed that in subgroup populations with CA19-9 normalization, pathological stage N0, pathological stage N1-2, moderate to well differentiated tumors, adjuvant therapy after conversion resection can bring a better survival benefit for patients with pancreatic cancer ( adjustment hazard ratio=0.220, 0.300, 0.410, 0.340, 95% confidence interval as 0.120-0.400, 0.170-0.560, 0.240-0.690, 0.210-0.690). Conclusions:Postoperative adjuvant therapy is an independent factor influencing overall survival time in pancreatic cancer patients receiving conversion resection. Adjuvant therapy after conversion resection can bring additional survival benefits for pancreatic cancer, particularly for patients who respond favorably to neoadjuvant and/or induction therapy.

Objective To investigate the protective effect of human umbilical cord mesenchymal stem cell-derived exosome (hucMSC-Exo) on renal ischemia-reperfusion injury (IRI), and to clarify the critical role and regulating mechanism of transient receptor potential canonical (TRPC) 6/poly adenosine-diphosphate-ribose polymerase (PARP) 1 signaling pathway during this process. Methods The hucMSC-Exo was extracted by ultracentrifugation, and identified by transmission electron microscope (TEM), nanoparticle tracing analysis and Western blot. SD rats were randomly divided into the sham operation group (group S), sham operation+TRPC6 inhibitor SKF96365 group (group SS), renal IRI group (group IRI), exosome treatment group (group EXO) and exosome +TRPC6 inhibitor SKF96365 group (group ES), with 6 rats in each group. Serum creatinine and blood urea nitrogen levels were detected. Pathological changes of renal tissues were observed by hematoxylin-eosin (HE) staining and Paller score was calculated. The expression levels of key molecules of necroptosis in rat renal tissues, including receptor-interacting protein kinase (RIPK)1, RIPK3 and mixed-lineage kinase domain-like protein (MLKL), TRPC6 and PARP1, were detected by Western blot. Results Typical saucer-like structure was observed under TEM. Nanoparticle tracing analysis showed that the average diameter of the extracted substance was 125.9 nm. Western blot revealed that the surface markers of CD9, CD63 and CD81 were positively expressed, confirmed that the extracted substance was exosome. Compared with group S, the serum creatinine and blood urea nitrogen levels were up-regulated, the pathological damage of renal tissues was worsened, Paller score was elevated, the relative expression levels of TRPC6 and PARP1 proteins were down-regulated, and the relative expression levels of RIPK1, RIPK3 and MLKL proteins were up-regulated in group IRI (all P < 0.05). Compared with group IRI, the serum creatinine and blood urea nitrogen levels were down-regulated, the pathological damage of renal tissues was mitigated, Paller score was decreased, the relative expression levels of TRPC6 and PARP1 proteins were up-regulated, and the relative expression levels of RIPK1, RIPK3 and MLKL proteins were down-regulated in group EXO (all P < 0.05). Compared with group EXO, the serum creatinine and blood urea nitrogen levels were up-regulated, the pathological damage of renal tissues was aggravated, Paller score was increased, the relative expression levels of TRPC6 and PARP1 proteins were down-regulated, and the relative expression levels of RIPK1, RIPK3 and MLKL proteins were up-regulated in group ES (all P < 0.05). Conclusions hucMSC-Exo may alleviate the necroptosis induced by renal IRI in rat models, which is related to the activation of TRPC6/PARP1 signaling pathway.

Background The thyroid gland is one of the organs sensitive to ionizing radiation, and there are few studies on the effects of long-term exposure to low doses of ionizing radiation on the thyroid gland of radiation workers. Objective To investigate thyroid abnormalities in workers in medical radiology departments in Guangdong Province and to identify potential influencing factors of thyroid abnormalities. Methods A total of 1657 radiation workers from 48 hospitals in Guangdong Province were selected as survey subjects using convenience sampling, and their personal dose monitoring results and health examination information were retrospectively analyzed to determine the factors affecting thyroid abnormalities. Results The M (P₂₅, P₇₅) of thyroid absorbed dose (D_T) was 1.55 (0.65, 3.96) mGy in the 1657 investigated workers. The attribute-specific medians of D_T were 1.29, 1.38, 1.99, and 3.51 mGy for departments of diagnostic radiology, interventional radiology, radiotherapy, and nuclear medicine, respectively; and 1.10, 1.55, and 1.80 mGy for job titles of nurse, technician, and physician, respectively. Differences in D_T by gender, age, years of radiological work, age of radiation exposure onset, occupational category, and job title were statistically significant (Z=−6.35, H=708.52, 918.20, 31.19, 95.64, 39.28, P<0.05). The positive rate of thyroid abnormalities in investigated workers was 46.53% (771/1657). Among them, the positive rate of abnormal thyroid function was 22.87% (379/1657), that of abnormal thyroid morphology was 33.98% (563/1657), and that of thyroid nodule was 26.55% (440/1657). The differences in thyroid abnormality rates by gender, age, years of radiation work, age of radiation exposure onset, D_T, and job title of radiation workers were statistically significant (χ²=51.89, 49.64, 20.54, 18.29, 12.07, 16.16, P<0.05). The differences in abnormal thyroid function positive rate by gender, age of radiation exposure onset, and job title were statistically significant (χ²=26.21, 6.21, 8.32, P<0.05). The differences in the positive rates of abnormal thyroid morphology and nodules were statistically significant by gender, age, years of radiological work, age of radiation exposure onset, D_T, and job title (abnormal thyroid morphology, χ²=40.24, 64.17, 37.63, 15.17, 19.28, 15.05; nodules, χ²=31.41, 77.98, 42.11, 19.16, 21.70, 13.52, P<0.05). The positive rates of thyroid abnormality, thyroid morphology abnormality, and nodules all showed a linear increasing trend with increasing age, years of radiation work, and age of radiation exposure onset (P<0.05). The results of logistic regression analysis indicated that the factors influencing thyroid abnormalities were female (OR=2.17, 95%CI: 1.72-2.74), increased years of radiological work (OR=1.04, 95%CI: 1.03-1.06), onset of radiation exposure in age groups of 30-34 and ≥35 years (OR=1.63, 95%CI: 1.12-2.37; OR=2.58, 95%CI: 1.74-3.29), and working in department of diagnostic radiology (OR=1.40, 95%CI: 1.07-1.84). Conclusion Long-term exposure to low doses of ionizing radiation has an effect on thyroid abnormalities in medical radiation workers. Among them, being female, physicians, and working in department of diagnostic radiology are at a higher risk of abnormal thyroid function; being female, increased years of radiation work, and radiation exposure onset at age ≥30 years are associated with a higher risk of reporting abnormal thyroid morphology.

With the development of neoadjuvant therapy and a multidisciplinary team, the treatment of pancreatic cancer has gradually expanded from "resection" to "cure"."Curative resection" as the core part of the integrated treatment model for patients, its quality directly determines the short-term outcome and affects the long-term prognosis. Previously, the "single complication assessment" model was used to measure the quality of pancreatic cancer surgery. However, the incidence of any specific complication cannot cover the entire surgical procedure, making it difficult to quantify and standardize the interpretation of the outcomes. Recently, the concept of textbook outcome, a comprehensive indicator, has gained popularity in surgical research. Textbook outcome includes multiple complication parameters and reflects optimal surgical outcomes in an "all or none" approach. Implementing a quality improvement program that focuses on textbook outcome will increase the overall standard of complex surgery, ultimately advancing the surgical care of pancreatic cancer in the future. In this article, the latest advances in relevant research are analyzed to provide a brief overview of the textbook outcome of pancreatic cancer.

With the development of neoadjuvant therapy and a multidisciplinary team, the treatment of pancreatic cancer has gradually expanded from "resection" to "cure"."Curative resection" as the core part of the integrated treatment model for patients, its quality directly determines the short-term outcome and affects the long-term prognosis. Previously, the "single complication assessment" model was used to measure the quality of pancreatic cancer surgery. However, the incidence of any specific complication cannot cover the entire surgical procedure, making it difficult to quantify and standardize the interpretation of the outcomes. Recently, the concept of textbook outcome, a comprehensive indicator, has gained popularity in surgical research. Textbook outcome includes multiple complication parameters and reflects optimal surgical outcomes in an "all or none" approach. Implementing a quality improvement program that focuses on textbook outcome will increase the overall standard of complex surgery, ultimately advancing the surgical care of pancreatic cancer in the future. In this article, the latest advances in relevant research are analyzed to provide a brief overview of the textbook outcome of pancreatic cancer.