To conduct a bibliometric and keyword analysis on the domestic and international literature of medical artificial intelligence （AI） ethics， explore the research frontiers， hotspots， and development trends in this field， and provide references for promoting the construction of China’s ethical governance system on medical AI. Utilizing CiteSpace software， a comparative analysis was conducted between the reviewed domestic and international literature regarding their publication volume， author and institutional collaboration networks， as well as keyword co-occurrence， clustering， timeline graph， and burst， to explore the research hotspots and development trends in the field. A total of 2 393 Chinese and English publications were included. In recent years， research topics in medical AI ethics both domestically and internationally focused on three aspects， encompassing their theoretical research， emerging domains and their ethical risks， as well as the ethical governance and regulation of medical AI. International research hotspots included federated learning， computer-aided detection， informed consent， and other aspects， whereas domestic research hotspots were smart healthcare， responsibility ethics， ethical values， and other aspects. Internationally， greater attention was placed on ethical issues concerning population health and healthcare in the public health domain， whereas domestic research topics tended to focus more on theoretical discussions and the establishment of ethical principles. The ethical governance of medical AI represents a shared global challenge， necessitating enhanced research into both the variances and commonalities in this field.

Hepatocellular carcinoma (HCC) stands as the predominant type of primary liver cancer, frequently accompanied by portal vein tumor thrombosis (PVTT). PVTT is a harbinger of a grim prognosis, with current treatment modalities falling short of expectations. Delving deeper into the pathophysiology of PVTT, researchers have come to recognize that PVTT and HCC may originate from different clones. Previous clinical investigations have proposed various PVTT classification systems, offering a scientific basis for individualized and precise treatment. The innovative surgical approach of “thrombectomy first” is designed to mitigate the risk of tumor spread, thereby enhancing patient outcomes. Moreover, the multidisciplinary and integrated treatment model, including targeted therapy, immunotherapy and radiotherapy, has demonstrated promising efficacy for the treatment of PVTT. With the continuous progress and optimization of PVTT diagnostic technology, classification systems and precision treatment strategies, the prospects for long-term survival in HCC patients with PVTT are poised to see a significant uplift.

Objective To observe the value of deep learning(DL)reconstruction algorithm for improving imaging quality of accelerated T2WI of cervical tumors.Methods A total of 43 patients with suspected cervical tumors were prospectively enrolled.Cervical conventional T2WI and accelerated T2WI based on DL reconstruction(DL-T2WI)were acquired.The imaging quality was subjectively assessed by 2 physicians using a 4-point system,including overall image quality,artifact,noise,sharpness and lesion detectability scores,and then were compared between conventional T2WI and DL-T2WI.Results The acquisition of conventional T2WI took 116 s,while of DL-T2WI took 101 s.The inter-observer consistency of subjective evaluation results on the overall image quality,artifact,noise,sharpness and lesion detectability scores were all excellent(Kappa=0.851-0.969).No significant difference of subjective evaluation results on overall image quality nor lesion detectability scores was found between conventional T 2WI and DL-T2WI(both P＞0.05),while the artifact and sharpness scores of DL-T2WI were significantly higher but the noise score was significantly lower than those of conventional T2WI(all P＜0.05).Conclusion DL reconstruction algorithm was helpful for improving imaging quality of accelerated T 2WI of cervical tumors.

AIM To study the chemical constituents from ethyl acetate fraction of Balanophora harlandii Hook.f.and their tyrosinase inhibitory activity.METHODS Separation and purification were performed using silica gel,MCI,ODS,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The monophenolase inhibitory activity was determined by the tyrosinase-catalyzed oxidation of L-tyrosine.RESULTS Twenty-four compounds were isolated and identified as sesamin(1),methyl caffeate(2),quercetin(3),5,7-dihydroxychromanone(4),methyl 3,4-dihydroxybenzoate(5),esculetin(6),kaempferol(7),naringenin(8),pyrogallic acid(9),pinosylvin(10),methyl propionate(11),caffeic acid(12),saccharinol(13),ferulic acid(14),trans-p-hydroxycinnamic acid(15),cinnamic acid(16),vanillic acid(17),vanillin(18),4-hydroxyacetophenone(19),4-hydroxybenzaldehyde(20),apigenin(21),(-)-isolariciresinol(22),(-)-secoisolariciresinol(23)and meso-2,3-di(3′,4′-methylenedioxybenzyl)butane-1,4-diol(24).The IC50 values of compounds 3,5,7,8,19,and 20 ranged from(0.246 5±0.028 3)to(1.278 2±0.021 3)mmol/L.CONCLUSION Compounds 1-9、11、15、17-21、24 are isolated from this plant for the first time,and 1,6,9,17-19,24 are first isolated from genus Balanophora.Compounds 3、5、7、8、19 and 20 have tyrosinase inhibitory activity.

AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

ObjectiveThe nucleolar protein PES1 (Pescadillo homolog 1) plays critical roles in ribosome biogenesis and cell cycle regulation, yet its involvement in cellular senescence remains poorly understood. This study aimed to comprehensively investigate the functional consequences of PES1 suppression in cellular senescence and elucidate the molecular mechanisms underlying its regulatory role. MethodsInitially, we assessed PES1 expression patterns in two distinct senescence models: replicative senescent mouse embryonic fibroblasts (MEFs) and doxorubicin-induced senescent human hepatocellular carcinoma HepG2 cells. Subsequently, PES1 expression was specifically downregulated using siRNA-mediated knockdown in these cell lines as well as additional relevant cell types. Cellular proliferation and senescence were assessed by EdU incorporation and SA-β-gal staining assays, respectively. The expression of senescence-associated proteins (p53, p21, and Rb) and SASP factors (IL-6, IL-1β, and IL-8) were analyzed by Western blot or qPCR. Furthermore, Northern blot and immunofluorescence were employed to evaluate pre-rRNA processing and nucleolar morphology. ResultsPES1 expression was significantly downregulated in senescent MEFs and HepG2 cells. PES1 knockdown resulted in decreased EdU-positive cells and increased SA‑β‑gal-positive cells, indicating proliferation inhibition and senescence induction. Mechanistically, PES1 suppression activated the p53-p21 pathway without affecting Rb expression, while upregulating IL-6, IL-1β, and IL-8 production. Notably, PES1 depletion impaired pre-rRNA maturation and induced nucleolar stress, as evidenced by aberrant nucleolar morphology. ConclusionOur findings demonstrate that PES1 deficiency triggers nucleolar stress and promotes p53-dependent (but Rb-independent) cellular senescence, highlighting its crucial role in maintaining nucleolar homeostasis and regulating senescence-associated pathways.

Selenoproteins, as the active form of selenium, play an important role in various physiological and pathological processes, such as anti-oxidation, anti-tumor, immune response, metabolic regulation, reproduction and aging. Although the expression level of selenoproteins in adipose tissue is significantly influenced by dietary selenium intake, it is closely related to the homeostasis of adipose tissue. In this review, we summarized the role of selenoproteins in the physiological function of adipose tissue and the pathogenesis of obesity in recent years, in order to provide a rationale for developing potential therapeutic agents for the treatment of obesity and related metabolic diseases.
Selenoproteins/metabolism* ; Adipose Tissue/physiology* ; Obesity/metabolism* ; Humans ; Animals ; Selenium

Objective:To analyze the association between continuity of consultation and the management of glycosylated hemoglobin (HbA1c) in diabetes patients contracted by family doctors.Methods:This study was a cross-sectional study. From May 2022 to October 2022, three community health service centers in the urban area of Beijing were selected by convenient sampling. A total of 360 diabetes patients were selected by simple random sampling from the selected centers. Extraction of data from electronic health records were conducted to collect patient characteristics, information on the continuity evaluation indicators for patient visits (usual provider of care, UPC) in 2021 and information of monitoring and control indicators for HbA1c in 2021. The monitoring and control of HbA1c in patients with different continuity of consultations were compared. Chi-square test and logistic regression analysis were used to determine the association between continuity of consultation and HbA1c management (i.e., HbA1c monitoring and control).Results:Of the 360 patients, 167 (46.4%) were male; the age was 68.0 (60.0, 74.0) years and the number of years since diagnosis was 11.0 (7.0, 17.0) years. One hundred and fifty-nine patients (44.1%) had UPC scores below 30%, 101 patients (28.1%) had UPC scores between 30% and 50%, and 100 patients (27.8%) had UPC scores above 50%. The compliance rate for HbA1c monitoring was 66.4% (239/360), and the compliance rate for HbA1c control was 45.8% (165/360). When the UPC score was less than 30%, between 30%-50%, and greater than 50%, the HbA1c monitoring compliance rates were 53.5% (85/159), 73.3% (74/101), and 80.0% (80/100), respectively, and the HbA1c control compliance rates were 37.7% (60/159), 51.5% (52/101), and 53.0% (53/100), respectively, and the differences were statistically significant ( χ2=22.36, 7.57, P<0.05). As the UPC score increased, the likelihood of achieving HbA1c monitoring ( OR=1.020, 95% CI:1.009-1.030 , P<0.001) and control ( OR=1.012, 95% CI:1.003-1.021 ,P=0.008) targets increased. Conclusion:There is an association between the continuity of consultation and the management of HbA1c.

Objective To analyze the results of health examination of soldiers stationed on an island,and to explore the health condition of the soldiers and main influencing factors,so as to provide scientific basis for further prevention and intervention.Methods The health examination reports of 507 soldiers stationed on an island were collected and analyzed.These soldiers were stratified according to age and body mass index.Priority diseases and abnormal results were analyzed.Results More than 40 kinds of abnormal results were detected,and the top 5 were sinus bradycardia,fatty liver,high uric acid,high blood pressure,and ametropia.There were significant differences in the detection rates of fatty liver,high cholesterol and kidney stone among all age groups(P<0.05).There were significant differences in the detection rates of fatty liver,high uric acid,high blood pressure and gallbladder polyps among soldiers with different BMI(P<0.05).Conclusion Metabolic diseases have become the main health problems in soldiers stationed on islands.Health care should be intensified,and health management targeting risk factors should be implemented to effectively reduce the prevalence rate and enhance combat capabilities.

Objective:To construct a clinical early warning model for bladder spasm occurred after transurethral resection of the prostate(TURP)in patients with benign prostatic hyperplasia(BPH)based on LASSO regression.Methods:The clinical data of 139 patients with BPH who underwent TURP treatment in Yellow River Sanmenxia Hospital from January 2022 to June 2024 were prospectively selected,and they were divided into spasm group(39 cases)and non-spasm group(100 cases)according to whether bladder spasm occurred after surgery.The characteristics of bladder spasm occurred after TURP in patients with BPH were statistically analyzed,and the general data between the two groups were compared.LASSO regression was used to screen the characteristic variables related to bladder spasm occurred after TURP,multivariate logistic regression was used to analyze the influencing factors of bladder spasm after TURP.The prediction model of bladder spasm after TURP was constructed,and the receiver operating characteristic(ROC)curve was drawn to evaluate the efficacy of the prediction model.Results:The incidence of bladder spasm after TURP was 28.06％.There were significant differences in age,history of diabetes,operation time,temperature of irrigating fluid,traction tension of urinary catheter,prostate volume and postoperative hospital stay between non-spasm group and spasm group(P＜0.05).LASSO regression showed that operation time,age,traction tension of urinary catheter,temperature of irrigating fluid,history of diabetes were important characteristics of bladder spasm occurred after TURP.Multivariate logistic regression analysis showed that old age,history of diabetes and long operation time were independent risk factors of bladder spasm occurred after TURP(P＜0.05).ROC curve showed that the area under the curve(AUC)of the risk prediction model for bladder spasm occurred after TURP was 0.885(95％CI:0.752-0.921).Conclusions:Old age,history of diabetes and long operation time are independent risk factors of bladder spasm occurred after TURP,the clinical warning model based on LASSO regression has a certain value in predicting the risk for bladder spasm occurred after TURP,which helps to identify high-risk patients early.