Hepatocellular carcinoma (HCC) develops within a profoundly immunosuppressive tumor immune microenvironment (TIME), which limits the efficacy of immunotherapy. Polarization of tumor-associated macrophages (TAMs) toward a pro-tumorigenic M2 phenotype is a major driver of immune escape. Ferroptosis, an iron-dependent regulated cell death program, intersects with hepatic iron metabolism and immune regulation and thus offers promising points of therapeutic intervention. This review systematically elucidates the mechanistic role of TAM ferroptosis in HCC immune evasion and highlights a “bidirectional regulation” intervention strategy grounded in the Traditional Chinese medicine (TCM) principle of “fortifying healthy qi and eliminating pathogens” (Fuzheng Quxie). This strategy employs “eliminating pathogens” (Quxie) approaches to exploit the metabolic vulnerability of M2-like TAMs and precisely induce their ferroptosis. Moreover, it utilizes “fortifying healthy qi” (Fuzheng) approaches to protect M1-like TAMs and CD8⁺ T cells from oxidative damage. This parallel “induction-protection” paradigm demonstrates the unique advantages of TCM in systemically remodeling TIME through multitarget synergistic actions. Accordingly, precision regulation of TAM ferroptosis based on the Fuzheng Quxie theory represents a promising integrative Chinese-Western medicine strategy for overcoming current bottlenecks in HCC immunotherapy, although its clinical translational potential warrants further validation.

Objective:This study aims to summarize the experience of building a research data platform at Peking University First Hospital and propose pathways for constructing healthcare big data platforms in medical institutions to provide insights for the further expansion of the application of the health care big data platform and construction of smart healthcare.Methods:Hospital multi-domain data was collected through a systematic process. After data classification and cleaning, international medical standards and NLP technology were utilized to achieve data standardization and structuring. At the same time, the eCRF form, data source judgment, and mathematical calculations were optimized to ensure the data quality and application value of the scientific research data platform.Results:By carrying out the construction of a scientific research data platform, Peking University First Hospital achieved the transformation of clinical data into research data, completed data collection, pushing, integration, cleaning, and governance, and conducted health care big data research.Conclusions:It is recommended to subsequently expand the data scope, promote the transformation of clinical data into research data, enhance clinical experts' participation in prospective design and data collection, use an integrated data platform for automatic data pushing and calling, explore the application of large language models and conduct technical exploration and reserves.

Objective:This study aims to summarize the experience of building a research data platform at Peking University First Hospital and propose pathways for constructing healthcare big data platforms in medical institutions to provide insights for the further expansion of the application of the health care big data platform and construction of smart healthcare.Methods:Hospital multi-domain data was collected through a systematic process. After data classification and cleaning, international medical standards and NLP technology were utilized to achieve data standardization and structuring. At the same time, the eCRF form, data source judgment, and mathematical calculations were optimized to ensure the data quality and application value of the scientific research data platform.Results:By carrying out the construction of a scientific research data platform, Peking University First Hospital achieved the transformation of clinical data into research data, completed data collection, pushing, integration, cleaning, and governance, and conducted health care big data research.Conclusions:It is recommended to subsequently expand the data scope, promote the transformation of clinical data into research data, enhance clinical experts' participation in prospective design and data collection, use an integrated data platform for automatic data pushing and calling, explore the application of large language models and conduct technical exploration and reserves.

Objective:To analyze the results of syphilis specific serological tests among entry personnel in Beijing port during year 201 2 -201 4 in order to provide evidence for the prevention and control of syphilis.Methods:Demographics data and syphilis specific test results of entry personnel were obtained from the information system of Beijing International Travel Healthcare Center and input into Excel 201 6. Database for entry personnel was built up accordingly and was analyzed by IBMSPSS22.0.Results:The number of entry personnel in Beijing port during year 201 2 -201 4 was 1 06 302 person-time.According to the evaluation criteria,71 308 persons were recruited and analyzed,of whom 277 were tested serologi-cally positive and the total prevalence was 0.39% (95% CI:0.34% -0.43%).The prevalence was highest in the persons aged 40 -49 years (0.81 %)and was higher in males (0.50%)than in females (0.23%).The persons from Africa held higher prevalence (1 .27%)than from other five regions.As multivariate logical regression analysis indicated that the risk of syphilis infection was 1 0.38 times more in the persons aged 40 -49 years than in the persons <20 years (95%CI:5.59 -1 9.28),and 1 .85 times more in males than in females (95%CI:1 .40 -2.44).For the people from Africa,South America and Asia,the infection risks were respectively 4.89 times (95%CI:2.97 -8.06),4.82 times (95%CI:2.39 -9.74)and 1 .72 times (95%CI:1 .1 5 -2.59)more than that for the people from North Ameri-ca.Rising trend of the prevalence was observed in both genders by age groups (P value for trend χ2 <0.05).Except for Asia,the prevalences of the people from other five regions were rising slightly by years,however there were no obvious trends (P value for trend χ2 >0.05).Twenty-seven seropositive cases were found within 6 246 entry persons who were tested repeatedly during the research period,9 of which were seroconversion cases so that the cumulative conversion rate was 0.1 4% (9 /6 228).The average conversion time was (6.3 ±3.0)months.There was no statistical significance between the cu-mulative seroconversion rates of the persons with different genders and nationalities (P of Fisher’s exact test >0.05).Conclusion:Serological detection of syphilis for entry personnel in Beijing port and syphi-lis-related health education should be reinforced to reduce the risk of disease importing and spreading, protect susceptible subjects and promote health.

Objective:To estimate the prevalence of antiretroviral drug resistance in treatment-naive in-dividuals with human immunodeficiency virus ( HIV ) in China. Methods: Five electronic databases [ Chinese BioMedical Literature Database ( CBM) , Chinese Journal Full-text Database ( CNKI) , Chinese Science-Technology Journal Database ( VIP) , Wanfang Data, and PubMed] were searched for studies of HIV drug resistance in untreated individuals. Drug resistance data were abstracted then pooled using the random effect model. Subgroup analysis was done across sampling time, location, study population ( mean age and infection status) , and sample size. Results: Seventy-six studies were included for our meta-analysis (46 in Chinese, 30 in English). The pooled rates of drug resistance to total, to non-nucleoside reverse transcriptase inhibitor ( NNRTI ) , to nucleoside reverse transcriptase inhibitor (NRTI), and to protease inhibitor ( PI) were 4. 7% (95%CI:4. 0% -5. 4%), 2. 3% (95%CI:1. 8% -2. 8%), 1. 8% (95%CI:1. 3% -2. 3%), and 1. 4% (95%CI:1. 1% -1. 8%), respective-ly. All the rates before 2007 were higher than those for 2008 or later. Meanwhile, significant differences were found in the sample areas (P <0. 05), in which, the rates in South-central and Southwest were both higher than 5%. The difference was complex between mean age and infection status subgroup, and we found the total prevalence in the group under 25 years and the newly infected, and confirmed group was lower than in the others. For sample size, all the rates in the group under 100 samples were higher than in the others, and the difference was significant (P<0. 05). Conclusion: The prevalence of HIV primary drug resistance in China was 4. 7%, which stayed low, but was also close to the line set by WHO. Enhanced surveillance for drug resistance is necessary in high epidemic areas including the South-central and Southwest China whose prevalence has crossed the line.