Objective To systematically analyze the literature characteristics of Journal of Organ Transplantation since its inception. Methods Using the China National Knowledge Infrastructure (CNKI) academic journal full-text database as the data source, all articles published in the Journal of Organ Transplantation from January 2010 to August 2025 were retrieved. After excluding non-academic papers, a total of 1 568 research papers were included. R language 4.3.0, Bibliometrix package 3.2.1, and Citespace software were used to analyze the number of publications, publishing institutions, authors, keywords and other aspects. Results The number of publications in Journal of Organ Transplantation increased from an average of 82 articles per year in the early years after its inception to 113 articles per year in recent years, a growth of 37.8%. The geographical distribution of publishing institutions covers 32 provinces, cities and autonomous regions nationwide, mainly concentrated in the South China, East China and North China regions, and has now basically covered the central and western regions in recent years. The author collaboration network includes 45 authors distributed across 7 major collaboration clusters, forming a stable multi-level national research system centered on key university-affiliated hospitals. The high-frequency keywords are dominated by "liver transplantation" (425 times) and "kidney transplantation" (396 times). The theme evolution shows a clear three-stage characteristic: initially focusing on clinical technology application, deepening to immune mechanism exploration in the middle stage, and recently (since 2022) focusing on cutting-edge research areas such as xenotransplantation. Conclusions Journal of Organ Transplantation has witnessed the rapid development of China's organ transplantation cause, fully reflecting the research status and trends in China's organ transplantation field, and has provided an important platform for the future development and international cooperation in China's organ transplantation field.

In the context of global warming, protecting outdoor workers from occupational heat exposure has become an important public health concern. This review summarized the principle, applicability, and limitation of three categories of wet bulb globe temperature (WBGT) prediction models: empirical regression models, heat-balance models, and machine-learning models. Drawing on international experience from the United States, Europe, and Japan, this review further examined the technical challenges of applying WBGT-based prediction models to large-scale occupational heat stress early warning systems. In response to gaps in occupational heat stress management in China, WBGT should be considered a core assessment indicator to support a transition from passive response to proactive intervention. A localized implementation pathway is proposed, incorporating mechanism-based model calibration, regional parameter adaptation, and multi-source data fusion. Strengthening collaboration between public health and meteorological departments and developing platform-based flexible intervention strategies for workers in new forms of employment may improve the targeting of occupational heat stress early warning and health protection. Future research should focus on physics-constrained machine learning, refined microenvironmental prediction, and individualized risk assessment to support the development of a digitally enabled occupational heat-health protection framework.

OBJECTIVE To screen for bioactive compounds in Siwei granules against triple-negative breast cancer （TNBC）， and explore their anti-TNBC effects.METHODS Network pharmacology was applied to screen bioactive compounds of Siwei granules， corresponding targets and TNBC-related targets. A “component-target” interaction regulatory network was constructed， followed by Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses. Using MDA-MB-231 and 4T1 cells as subjects， bioactive compounds from Siwei granules against TNBC were screened. Using MDA-MB-231 cells as the subject， the effects of these bioactive compounds， either alone or in combination， on cell apoptosis， migration， cell cycle， reactive oxygen species （ROS） generation， and the expression of proteins related to enriched pathways were explored.RESULTS A total of 67 bioactive compounds were identified by network pharmacology， with 131 overlapping targets between the compound targets and TNBC targets. Six core key targets were identified， including the phosphatidylinositol-4，5-bisphosphate 3-kinase catalytic subunit alpha， etc. The overlapping targets were enriched in GO functions such as proliferation， phosphotransferase complexes， and protein tyrosine kinase activity， as well as in signaling pathways including phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） and ROS. A total of 4 bioactive compounds were identified by cell experiments. Among them， the half-maximal inhibitory concentration （IC 50 ） of ursolic acid for both cell lines was 25 μmol/L， while that of licochalcone A， luteolin， and aloe-emodin （for 4T1 cells only） was 50 μmol/L for both cell lines. When administered alone （all 20 μmol/L） or in combination （10 μmol/L each）， the four compounds significantly increased the apoptosis rate in MDA-MB-231 cells （only in the combination group only）， relative ROS levels （only in the combination group） and the proportion of cells in the G 2 phase （only in the luteolin group， licochalcone A group， and combination group）， while they significantly reduced the proportion of cells in the G 1 phase （only in the licochalcone A group and the combination group）， scratch healing rate， and the phosphorylation levels of PI3K （except in the aloe-emodin group）， Akt （except in the aloe-emodin group）， and the mammalian target of rapamycin （ P ＜0.05）.CONCLUSIONS The bioactive compounds in Siwei granules responsible for its anti-TNBC activity may be ursolic acid， licochalcone A， luteolin， and aloe-emodin； these compounds can， to varying degrees， inhibit TNBC cell proliferation and migration， promote apoptosis， arrest the cell cycle in the G 2 phase， induce ROS production， and inhibit the phosphorylation the related proteins of the PI3K/Akt signaling pathway.

Objective:To understand the knowledge, attitudes, and behaviors of residents in areas endemic for severe fever with thrombocytopenia syndrome (SFTS) and the factors influencing these aspects, to provide a scientific basis for the prevention and control of SFTS among residents in endemic areas.Methods:A multi-stage sampling method was used to select subjects for a questionnaire survey, and the collected data were analyzed and compared.Results:The awareness rate of SFTS-related knowledge among residents in the endemic areas of Qingdao was 14.38%, while the awareness rate of tick-related knowledge was 69.78%. The mean score for protective attitudes among residents in the endemic areas was 24.50±4.09, and the mean score for protective behaviors was 11.20±2.76. Among residents of different ages, occupations, and educational levels, comparisons of SFTS-related knowledge awareness rates ( χ2=293.553, P<0.001; χ2=495.216, P<0.001; χ2=677.272, P<0.001), tick-related knowledge awareness rates ( χ2=29.986, P<0.001; χ2=23.239, P=0.002; χ2=41.003, P<0.001), protective attitude scores ( H=52.094, P<0.001; H=33.446, P<0.001; H=81.715, P<0.001), and protective behavior scores ( H=52.344, P<0.001; H=28.465, P<0.001; H=67.061, P<0.001) showed statistically significant differences. Comparisons of these same factors among residents of different genders showed no statistically significant differences ( χ2=1.159, P=0.282; χ2=0.298, P=0.585; t=-0.808, P=0.419; t=-1.229, P=0.219). Comparisons of tick-related knowledge awareness rates among residents with different frequencies of outdoor work showed no statistically significant differences ( χ2=5.367, P=0.147); however, comparisons of SFTS-related knowledge awareness rates, protective attitude scores, and protective behavior scores among residents with different frequencies of outdoor work showed statistically significant differences ( χ2=117.010, P<0.001; F=4.127, P=0.006; H=56.280, P<0.001). Multivariate linear regression analysis revealed that older age, lower educational level, and less frequent outdoor work were associated with lower protective behavior scores ( t=-3.479, P<0.001; t=4.861, P<0.001; t=-7.753, P<0.001). Conclusions:Residents in the epidemic areas of SFTS have a low level of knowledge, attitude and practice. Factors influencing protective behaviors include age, occupation, educational level, and frequency of outdoor work. Farmers are a group that requires particular attention.

Objective:To observe the efficacy of eculizumab in children with atypical hemolytic uremic syndrome.Methods:It was a single-center observational study. The clinical data of children diagnosed with atypical hemolytic uremic syndrome and treated with eculizumab in Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology from January 2023 to May 2024 were retrospectively collected. Eculizumab was used at the conventional dose based on the children 's weight. Event-free survival (no death or end-stage renal disease) rate, complete remission rate and recurrence rate of thrombotic microangiopathy in children with atypical hemolytic uremic syndrome after eculizumab treatment were analyzed. The complete remission time of estimated glomerular filtration rate, hemoglobin, platelet, lactic dehydrogenase, urine routine and the adverse reactions during the treatment were observed. Whole exome sequencing was used to conduct genetic testing based on blood samples of the children and their parents.Results:There were 4 children enrolled in the study. Four children were all Han Chinese, including 3 males and 1 female. The median age of onset was 8 years (ranging from 7 to 10 years). Two patients had complement gene abnormalities, both of which were homozygous deletions of complement factor H-related 1 and complement factor H-related 3. All the patients were free of plasma exchange or perfusion after treatment with eculizumab, and the 6-month event-free survival rate and thrombotic microangiopathy complete remission rate were both 4/4. The complete remission time was 19 (14-28) days. The time for the complete recovery of platelets, lactate dehydrogenase, estimated glomerular filtration rate and hemoglobin in 4 children was 4 (1-5), 19 (14-28), 10 (5-14) and 29 (20-42) days, respectively. Except for 1 patient whose urine routine fluctuated between negative and weakly positive expression, the other 3 patients had normal urine routine. All the patients discontinued eculizumab. Two patients without gene mutations discontinued eculizumab after 7 doses, and there was no recurrence during the 1-year follow-up after drug withdrawal. Two patients with genetic abnormalities discontinued eculizumab after 26 weeks of treatment, and no recurrence was found during the 3-month follow-up after drug withdrawal. One patient developed rash approximately 7 days after receiving the third dose of eculizumab. The rash was relieved after anti-allergic treatment, and there was no recurrence after the continued use of eculizumab.Conclusion:Eculizumab is effective and safe in the treatment of children with atypical hemolytic uremic syndrome. Discontinuation of eculizumab can be considered in patients without gene mutations when their condition is stable, but close monitoring and follow-up are needed after drug withdrawal.

Objective:Based on the autoregressive integrated moving average (ARIMA) model, back propagation neutral network (BPNN), and ARIMA-BPNN model, select the optimal model suitable for predicting the incidence trend of hepatitis C in Taiyuan City according to the characteristics of the data.Methods:The data of reported cases of hepatitis C in Taiyuan from 2008 to 2021 were selected, and the seasonal trend decomposition chart was used to analyze the seasonal characteristics of the monthly incidence rate of hepatitis C in Taiyuan during the period, and the ARIMA model, BPNN model, and ARIMA-BPNN model were established to predict. The performance of the model was measured using four indicators: mean absolute error ( MAE), mean squared error ( MSE), root mean square error ( RMSE), and mean absolute percentage error ( MAPE). Results:A total of 20 025 cases of hepatitis C were reported, and the overall incidence trend was stable. The BPNN model performed well on MSE, MAE, and RMSE indicators, the ARIMA-BPNN model performed well on MAPE indicators, and the ARIMA model performed relatively averagely. Conclusions:The ARIMA-BPNN model is a better model for predicting the trend of hepatitis C in Taiyuan City, with a higher predictive performance than a single model. It has significant prospects in predicting the trend of infectious diseases.

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.

Objective To compile the"expert consensus on preventive and management of exposure keratopathy"(hereinafter referred to as"consensus"),aiming to standardize and promote the prevention of exposure keratopathy(EK)in medical institutions at different levels.Methods The evidence-based methods were used to retrieve,evaluate and summarize evidence in this field according to the level of evidence,and relevant recommendations and research conclusions were extracted,and the first draft of consensus was formed.After 2 rounds of Delphi expert letters and expert meetings,combined with evidence and expert opinions,the consensus content is written,adjusted and modified,and recommendations were made.Results 58 experts were invited to participate in the consultation.The expert positive coefficient was 100％;the expert judgment basis of the 2 rounds were 0.940 and 0.936;the degree of familiarity of the 2 rounds were 0.779 and 0.797;the coefficient of authority of the 2 rounds were 0.859 and 0.866.The Kendall W coefficients of the 2 rounds of inquiry were 0.099 and 0.117,and the difference was statistically significant(P＜0.05).The consensus includes 5 aspects of EK:risk factors,assessments,protection measures,symptom management and training and management.Conclusion The consensus was based on the existing evidence and clinical practical requirements and recommendations of experts in the field.Consensus can provide guidance for clinical nursing staff in prevention,nursing and management of EK effectively.

Objective:To observe the clinical efficacy of traditional Chinese medicine(TCM)essential oil Tuina(Chinese therapeutic massage)combined with conventional Western medication in treating hypertension and its influence on TCM symptoms and anxiety.Methods:Eighty patients with hypertension were included and divided into an observation group and a control group using the random number table method,with 40 cases in each group.The control group was treated with conventional oral Western medication once a day.The observation group was treated with additional TCM essential oil Tuina once every other day.The two groups were treated for 4 weeks.The changes in blood pressure,TCM symptom score,and anxiety,as well as safety,were observed after treatment.Results:After treatment,the systolic blood pressure,diastolic blood pressure,TCM symptom score,and Hamilton anxiety scale score in the two groups were lower than those before treatment(P<0.05),and those of the observation group were lower compared to the control group with statistically significant differences(P<0.05).There were no adverse reactions,such as allergy and dry cough,in the two groups.Conclusion:Based on conventional Western medication,TCM essential oil Tuina was safe and effective in the treatment of hypertension,which both reduced blood pressure and improved clinical symptoms and anxiety.

BACKGROUND:Research on carbon nanomaterials in the biomedical field is booming,and related scientific research results are increasing year by year.However,visualization analysis of the annual number of publications,the research status of countries,institutions,authors,and research hotspots and trends in this field is relatively scarce. OBJECTIVE:To present the research status of carbon nanomaterials in biomedical field,reveal the main research subjects,explore the research hotspots and development trends,and provide a reference for the future development of this field. METHODS:The core data set of Web of Science was used as the literature source to search the relevant researches on carbon nanomaterials in the biomedical field from 2012 to 2023.The knowledge map was generated by using Citespace software with countries,institutions,authors,keywords,and co-citations as nodes and for visualization analysis. RESULTS AND CONCLUSION:(1)A total of 2 932 papers were included in this study.In the medical field,carbon nanomaterials had a large number of papers and a fast growth rate.The United States has a large number of papers;China is an emerging force in this field,although the number of papers is the largest,but the level of research and influence need to be improved.The Chinese Academy of Sciences is the largest cooperative network institution,which mainly targets domestic institutions and lacks cooperation with well-known foreign institutions.(2)Keyword analysis displays that the green synthesis method and application of displaying carbon points have been the focus of research,followed by the new method of combining carbon nanomaterials with cancer phototherapy and immunotherapy,the key direction of future research.(3)The dynamic development trend of co-citations suggests that tissue engineering is a hot research topic of carbon nanomaterials in the field of biomedicine,mainly including the research of carbon nanomaterials for the repair and regeneration of heart and nerve tissue and as a bio-ink additive for 3D and 4D bioprinting.(4)In the future,with the development of the biomedical field in the direction of precision and treatment,researchers should speed up the creation of carbon-based systems formed by the combination of scientific and effective carbon nanomaterials with science and technology,new polymers or organic molecules,and new therapeutic methods,so as to give full play to the maximum effect of carbon nanomaterials.