Aim To analyze the anti-A549 and HI299 lung ade-nocarcinoma activities via using examples of baicalin, astragalo-side, hesperidin and cisplatin based on real time cellular analysis (RTCA) technology, and to build a new strategy for EC50 e-valuation reflecting the time-dimensional characteristic. Methods Using RTCA Software Pro for data analysis and GraphPad Prism and Origin Pro plotting, the in vitro anti-A549 and H1299 lung adenocarcinoma activities of baicalin, astragaloside, hesperidin, and cisplatin were characterized using the endpoint method and time dimension, respectively. Results (X) There were significant differences in EC50 values of A549 and H1299 cells at 24 h and 48 h endpoint methods. (2) The correlation coefficient of the curve fitted with the four-parameter equation was > 0. 9, and the dynamic change of EC50 remained relatively stable (the linear fitting of EC50 at adjacent 4 points I slope 1^1) used to calculate the EC50 value within this time dimension. The EC50 of baicalin, astragaloside, hesperidin and cisplatin on A549 cells was 52. 97 ±1.75 плпо! • L~1(16~48 h) , 62.88 ± 2.91 ijunol • L"1 (32.25 -48 h) , 78.84 ±0.33 плпо1 • L"1 (21.5 -29.75 h), 13.57 ±1.54 плпо1 • L_1(27.5 -48 h), respectively; the EC50 of baicalin, astragaloside, hesperidin and cisplatin on H1299 cells was 43. 71 ± 1. 26 |лто1 • L_1 ( 19. 5 -48 h), 47.23 ±1. 19 |лто1 • L_1(14 -48 h) , 39.45 ±0.24 плпо1 • L"1 (12.75 -46.25 h), 25.97 ±4.76 плпо1 • L"1 (10. 25 -48 h) , respectively. The results showed that the time window for the anti-tumor effect of the test solution/drug was different. Conclusions Based on RTCA technology, it is more accurate and reasonable to select EC50 data that exhibit better fitting, stable changes, and time-dimensional characteristics for the evaluation of anti-tumor activity. In addition, this method of distinguishing different effective time of antitumor drugs can provide a reference for the timing of clinical combination drugs, and this approach will also provide a reference for further related studies.

Objective:To investigate the predictive value of Naples prognostic score (NPS) in assessing the overall survival of intrahepatic cholangiocarcinoma (ICC) patients after receiving hepatectomy treatment.Methods:Clinicopathological characteristics and follow-up data of 164 ICC patients who underwent curative hepatectomy at Zhejiang Cancer Hospital from Jan 2010 to Aug 2022 were retrospectively collected. NPS was calculated basing on preoperative serum albumin concentration, total cholesterol concentration, the neutrophil-lymphocyte ratio, and lymphocyte-monocyte ratio. The relationship between NPS and overall survival was analyzed, and the efficacy of NPS in predicting long-term survival was compared to TNM staging system and other independent risk factors.Results:Multivariate analysis identified the NPS [Score 1 versus 0: 1.864 (1.011-3.437), P=0.046; Score 2 versus 0: 3.013 (1.465-6.199), P=0.003] as an independent risk factor for overall survival. The area under curve (AUC) of the rece中iver operating characteristic (ROC) curve for predicting 5-year OS based on NPS is 0.75, which is higher than TNM staging (0.59) and other independent risk factors (CA19-9:0.71, lymph node metastasis: 0.66, tumor size: 0.62, microvascular invasion: 0.56). Conclusion:NPS as an independent predictor of overall survival for ICC patients, is more accurate than TNM staging system and other clinicopathological factors.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

The number of investigator initiated research (IIR) is increasing. But the recognition and management of IIR in China is still in its infancy, and there is a lack of specific and operable guidance for the implementation process. Based on our practical experiences, previous literature reports, and current policy regulations, the authors took prospective IIR as an example to summarize the implementation process of IIR into 14 steps, which are as the following: study initiation, ethical review, study registration, study filing, case report form design, database establishment, standard operating procedure making, investigator training, informed consent, data collection, data entry, data verification, data locking and data archiving.

This study aims to reveal the effects of different growth patterns and years on the quality of Saposhnikoviae Radix samples. The apparent colors of the powder samples were quantified by a colorimeter, and the total color values(E~*ab) were calculated. The content of prim-O-glucosylcimifugin, cimifugin, 4'-O-β-D-glucosyl-5-O-methylvisamminol, sec-O-glucosylhamaudol, and 3'-O-angeloylhamaudol in the samples was simultaneously determined by high performance liquid chromatography(HPLC). Cluster analysis, principal component analysis, partial least squares discriminant analysis, and Pearson correlation analysis were performed to analyze the powder chromatic values and the content of 5 components. The results showed that the E~*ab values of the samples were in the order of wild group Powders ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/analysis* ; Apiaceae ; Plant Roots/chemistry*

OBJECTIVE: To evaluate the prospective association between cumulative resting heart rate (cumRHR) and rapid renal function decline (RRFD) in a cohort of individuals aged 60 and older. METHODS: In the Tianjin Chronic Kidney Disease Cohort Study, the individuals who underwent three consecutive physical examinations between 2014 and 2017, with estimated glomerular filtration rate (eGFR) greater than 60 mL/min per 1.73 m² and aged 60 years or older were enrolled. A total of 27,564 patients were prospectively followed up from January 1, 2017 to December 31, 2020. The 3-year cumRHR was calculated. The primary outcome was RRFD, defined as an annualized decline in eGFR of 5 mL/min per 1.73 m² or greater. Logistic and restricted spline regression models and subgroup analysis were used to investigate the association of cumRHR with RRFD after adjusting for all confounders. RESULTS: During a median follow-up of 3.2 years, a total of 4,347 (15.77%) subjects developed RRFD. In fully-adjusted models, compared with the lowest quartile of cumRHR, the odds ratio (OR) for the highest was 1.44 (1.28-1.61), P < 0.001. Furthermore, each 1-standard deviation (27.97 beats/min per year) increment in cumRHR was associated with a 17% (P < 0.001) increased risk of RRFD, with a linear positive correlation (P for non-linear = 0.803). Participants with a 3-year cumRHR ≥ 207 (beats/min) * year (equivalent to ≥ 69 beats/min per year in 3 years) were found to be at a higher risk of RRFD. CONCLUSIONS The cumRHR is significantly associated with a higher risk of RRFD among older adults. These results might provide an effective goal for managing and delaying the decline of renal function in the older adults.

The purpose of this study was to investigate the epidemiological characteristics and risk factors of influenza in Hainan province,to provide evidence to support influenza prevention and control efforts.Pathogen monitoring data of influenza-like illness(ILI)in six national sentinel hospitals in Hainan province from 2013 to 2021 were analyzed in SPSS 20.0 software.A total of 50 415 ILI cases were detected during the 2013-2021 season,of which 5 581 were positive for influenza viruses,with a positivity rate of 11.07％.The dominant strains were type B,type A(H1N1)pdm09 and type A(H3N2).The positivi-ty rate of influenza virus was highest in people 5-14 years of age(17.56％)and lowest in people 0-4 years of age(7.32％).Influenza activity showed both a summer peak and a winter-spring peak in the 2014-2016,2017-2018 and 2019-2020 sea-sons,and was concentrated in April to September,with a maximum peak of 53.64％,and in November to March of the next year,with a peak of 47.30％.The 2013-2014,2016-2017 and 2018-2019 seasons showed only a winter-spring peak concen-trated between October and March of the next year,with a maximum peak of 54.17％,but no obvious summer peak.The pre-dominant influenza viruses during the eight surveillance seasons varied among H1N1,H3N2 and type B.The positive detection rate of influenza virus steeply declined during the 2020-2021 season:the positive detection rate was only 0.25％,and no obvi-ous epidemic period was observed.The intensity of influenza epidemic varied among monitoring years,and the dominant strains changed rapidly in Hainan Province.People 5-14 years of age were the key population affected.Summer,winter and spring were the key periods for influenza prevention and control.Etiological surveillance of influenza should continue to be strength-ened,the roles of health education and publicity should be emphasized,and the dual measures of influenza vaccination and non-drug intervention should be actively promoted to decrease the occurrence of influenza.

Abstract: Schistosomiasis is a serious major parasitic disease that threatens human life and health. A better understanding of the mechanism of host-schistosome interactions is the key to designing new prevention and control strategies. MicroRNAs (miRNAs) are endogenous small non-coding RNA molecules, which lead to the degradation of the target messenger RNA (mRNA) or inhibition of its translation in a sequence-specific manner. Both schistosome and its host produce miRNAs, which can be secreted by extracellular vesicles (EVs). There is accumulating evidence that miRNAs from schistosome can be taken up by host cells, and finely manipulate the phenotype of host cells for their survival or pathogenesis in a cross-species manner, even inhibiting the growth and metastases of hepatoma cells. It is still unknown whether host free miRNAs can be taken up by schistosome, but this phenomenon is highly probable. miRNA-mediated cross-species regulation has emerged as a novel mechanism for host-schistosome interactions, and this review summarizes the advances in this regard.

Rocuronium bromide is an acetylcholine N2 receptor antagonist, which can be used as an auxiliary drug for general anesthesia. It has been reported that rocuronium has two possible metabolic pathways: N-dealkylation and O-deacetylation, which are mainly taken up by liver and excreted by bile in the form of primary drugs. In this paper, the metabolites of rocuronium in human bile were detected by UHPLC-QE-orbitrap-MS, thirteen metabolites were detected, including eleven phase I metabolites and two phase II metabolites, eleven of which had not been previously reported. At the same time, HEK293 cells overexpressing transporter were used to explore the transmembrane transport mechanism of rocuronium, the results showed that rocuronium was the substrate of MATE1, OCT1, OATP1B1 and OATP1B3. The above research results enrich the metabolic pathway of rocuronium in vivo, and put forward the possible transport mechanism of liver uptake and bile excretion, which can better guide the accurate and safe clinical drug application. The collection of human bile samples in this study was approved by the ethics committee of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine (Approval Number: 2019-775-130-01).

ObjectiveTo assess the predictive performance of four creatinine-based equations for estimated glomerular filtration rate （eGFR）： 2012 chronic kidney disease epidemiology collaboration （CKD-EPIcr） equation ， 2021CKD-EPIcr equation， Xiangya equation and European kidney function consortium （EKFC） equation. MethodsA total of 198 patients with chronic kidney disease from the Third Affiliated Hospital of Sun Yat-sen University and the Kiang Wu Hospital in Macau were enrolled. We compared the GFR measured （mGFR） by iohexol plasma clearance and the eGFR calculated by four equations. The agreement between mGFR and eGFR was analyzed by Bland-Altman plots， concordance correlation coefficient （CCC）， coverage probability （CP） and total deviation index （TDI）. The performance of eGFR equations， including their bias， precision， root square mean error （RSME）， and percentage of estimates within 30% deviation of measured GFR （P₃₀）， were evaluated. Bootstrap method （2 000 samples） was used to calculate bias， interquartile range （IQR）， RSME， and 95% confidence intervals （CI） for P_30. After selecting the optimal eGFR equation as the reference， we statisticlly tested other equations by ① Wilcoxon signed-rank test for bias； ② McNemar-Bowker test for P₃₀； ③ comparing RMSE and IQR with independent samples t test after 2 000 bootstrap samples were obtained. ResultsThe median mGFR and four eGFR equations （EKFC， 2012CKD-EPIcr， 2021CKD-EPIcr and Xiangya equation） in the overall population were 56.2 mL·min^-1·（1.73m²）^-1， 67.1 mL·min^-1·（1.73m²）^-1， 73.0 mL·min^-1·（1.73m²）^-1， 66.9 mL·min^-1·（1.73m²）^-1 and 63.8 mL·min^-1·（1.73m²）^-1， respectively. The Bland-Altman plots showed that EKFC equation had the lowest mean difference and the narrowest 95% limit of agreement. The EKFC equation had the optimal performance on CCC， TDI and CP with values of 0.90， 24.41 and 0.50， respectively. Overall， the bias， accuracy， P₃₀ and RSME from the EKFC equation was -0.99， 14.64， 0.80， and 14.68， respectively， with 95% CI ranging from -2.53 to 0.94， 11.82 to 17.35， 0.73 to 0.85， and 12.69 to 17.35， respectively， which were superior to those values from other three eGFR equations. The differences were statistically significant （all P < 0.05）. The results in the mGFR subgroups were basically consistent with the overall trend. ConclusionsOf the four eGFR equations validated in this study， the EKFC equation comprehensively surpasses 2012CKD-EPIcr equation， 2021CKD-EPIcr equation， and Xiangya equation. With P₃₀>75%， the EKFC equation can meet clinical diagnostic needs. Therefore， the EKFC equation is recommended for estimating GFR in a Chinese population， but more participants need be included to further support this conclusion.