Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

Objective:To compare the impact of manual right arm blood pressure measurement with computer-controlled blood pressure meter (CCBPM) on the detection rate of hypertension among elderly individuals.Method:This was a cross-sectional study. Elderly residents undergoing routine health check-up in a village in Jiangxi Province from April to June 2024 were enrolled. Manual blood pressure measurements were performed on the right arm using an electronic sphygmomanometer, while standardized dual-arm synchronized blood pressure assessments were conducted using the CCBPM. Blood pressure data were recorded from three sources: manual measurement on the right arm; the first CCBPM measurement on the arm with higher systolic blood pressure (CCBPM single); and the mean blood pressure of the arm with higher systolic blood pressure from two (if the difference between the first two measurements was less than 5 mmHg, 1 mmHg=0.133 kPa) or three (if the difference exceeded 5 mmHg) CCBPM measurements (CCBPM mean). Hypertension detection rates from these three datasets were compared. Subgroup analysis was performed according to age (60-74 years old as the elderly group,≥75 years old as the senior group) and gender. Intra-group correlation coefficient ( ICC) was analyzed to evaluate the consistency of blood pressure data of different blood pressure measurement methods, and Kappa value was analyzed to evaluate the consistency of hypertension classification determined by different blood pressure measurement methods. Results:A total of 1 498 participants were enrolled, aged (71.30±6.83) years old, including 678 males (45.26%). The blood pressure and heart rate measured by the artificial right arm blood pressure measurement were higher than those measured by CCBPM single (blood pressure: (140.09±17.19)/(82.40±10.93) mmHg vs. (135.31±18.98)/(81.23±10.51) mmHg; heart rate: (75.76±11.72) beats/min vs.(72.94±11.21) beats/min) and CCBPM mean (blood pressure: (140.09±17.19)/(82.40±10.93) mmHg vs. (134.64±18.39)/(80.28±9.78) mmHg; heart rate: (75.76±11.72) beats/min vs. (72.87±10.70) beats/min, all P<0.05). The detection rate of hypertension determined by CCBPM mean was significantly lower than that of artificial right arm (40.25% (603/1 498) vs.54.34% (814/1 498)) and CCBPM single (40.25% (603/1 498) vs. 44.79% (671/1 498), all P<0.05). Subgroup analysis showed that that the detection rate of hypertension determined by CCBPM mean was lower than that measured by artificial right arm regardless of gender and age (all P<0.05). The consistency of blood pressure data between artificial right arm and the CCBPM mean was moderate (systolic blood pressure: ICC=0.70; diastolic blood pressure: ICC=0.62), with less consistent classification ( Kappa=0.37). The consistency of blood pressure data between CCBPM single and CCBPM mean is extremely high (systolic blood pressure: ICC=0.94; diastolic blood pressure: ICC=0.91), with highly consistent classification ( Kappa=0.74). Conclusions:Artificial right arm blood pressure measurement in physical examinations may overestimate the hypertension detection rate, and the standardized dual-arm synchronized blood pressure measurement using CCBPM can reduce irregular blood pressure measurement.

AIM:To explore the mechanism of berberine on breast cancer cells based on network pharmacology and in vitro cell experiments.METH-ODS:Firstly,berberine and breast cancer were tak-en as the research objects,the intersection targets of the two were screened by VEEN diagram,GO function and KEGG enrichment analysis were per-formed by R language,and molecular docking and visualization were carried out by Autodock Vina and Pymol software.Then,berberine treated breast cancer MCF-7 cells for 24 h,and then in vi-tro cell experiments were performed.CCK-8 was used to detect cell viability,Edu and plate cloning were used to detect cell proliferation and cloning,and apoptosis was detected by An-nexin V-FITC/PI double staining and Western blot.Laser confocal and CETSA were used to verify the binding effect of berberine and AKT1 protein.RESULTS:The results of network pharmacology showed that berberine had a good binding to the core targets AKT1,AKT2 and MAPK3.Berberine(20,40,80 μmol/L)signifi-cantly inhibited the proliferation and cloning ability of MCF-7 cells in a concentration-dependent man-ner(P＜0.05,P＜0.01).The results of laser confocal and CETSA experiments showed that berberine and AKT1 had a binding effect,and the stability of the two was enhanced after the combination.CONCLU-SION:Berberine inhibits MCF-7 cell proliferation and induces apoptosis in human breast cancer cells by targeting binding to AKT1 protein.

AIM:To explore the mechanism of berberine on breast cancer cells based on network pharmacology and in vitro cell experiments.METH-ODS:Firstly,berberine and breast cancer were tak-en as the research objects,the intersection targets of the two were screened by VEEN diagram,GO function and KEGG enrichment analysis were per-formed by R language,and molecular docking and visualization were carried out by Autodock Vina and Pymol software.Then,berberine treated breast cancer MCF-7 cells for 24 h,and then in vi-tro cell experiments were performed.CCK-8 was used to detect cell viability,Edu and plate cloning were used to detect cell proliferation and cloning,and apoptosis was detected by An-nexin V-FITC/PI double staining and Western blot.Laser confocal and CETSA were used to verify the binding effect of berberine and AKT1 protein.RESULTS:The results of network pharmacology showed that berberine had a good binding to the core targets AKT1,AKT2 and MAPK3.Berberine(20,40,80 μmol/L)signifi-cantly inhibited the proliferation and cloning ability of MCF-7 cells in a concentration-dependent man-ner(P＜0.05,P＜0.01).The results of laser confocal and CETSA experiments showed that berberine and AKT1 had a binding effect,and the stability of the two was enhanced after the combination.CONCLU-SION:Berberine inhibits MCF-7 cell proliferation and induces apoptosis in human breast cancer cells by targeting binding to AKT1 protein.

Objective:To compare the impact of manual right arm blood pressure measurement with computer-controlled blood pressure meter (CCBPM) on the detection rate of hypertension among elderly individuals.Method:This was a cross-sectional study. Elderly residents undergoing routine health check-up in a village in Jiangxi Province from April to June 2024 were enrolled. Manual blood pressure measurements were performed on the right arm using an electronic sphygmomanometer, while standardized dual-arm synchronized blood pressure assessments were conducted using the CCBPM. Blood pressure data were recorded from three sources: manual measurement on the right arm; the first CCBPM measurement on the arm with higher systolic blood pressure (CCBPM single); and the mean blood pressure of the arm with higher systolic blood pressure from two (if the difference between the first two measurements was less than 5 mmHg, 1 mmHg=0.133 kPa) or three (if the difference exceeded 5 mmHg) CCBPM measurements (CCBPM mean). Hypertension detection rates from these three datasets were compared. Subgroup analysis was performed according to age (60-74 years old as the elderly group,≥75 years old as the senior group) and gender. Intra-group correlation coefficient ( ICC) was analyzed to evaluate the consistency of blood pressure data of different blood pressure measurement methods, and Kappa value was analyzed to evaluate the consistency of hypertension classification determined by different blood pressure measurement methods. Results:A total of 1 498 participants were enrolled, aged (71.30±6.83) years old, including 678 males (45.26%). The blood pressure and heart rate measured by the artificial right arm blood pressure measurement were higher than those measured by CCBPM single (blood pressure: (140.09±17.19)/(82.40±10.93) mmHg vs. (135.31±18.98)/(81.23±10.51) mmHg; heart rate: (75.76±11.72) beats/min vs.(72.94±11.21) beats/min) and CCBPM mean (blood pressure: (140.09±17.19)/(82.40±10.93) mmHg vs. (134.64±18.39)/(80.28±9.78) mmHg; heart rate: (75.76±11.72) beats/min vs. (72.87±10.70) beats/min, all P<0.05). The detection rate of hypertension determined by CCBPM mean was significantly lower than that of artificial right arm (40.25% (603/1 498) vs.54.34% (814/1 498)) and CCBPM single (40.25% (603/1 498) vs. 44.79% (671/1 498), all P<0.05). Subgroup analysis showed that that the detection rate of hypertension determined by CCBPM mean was lower than that measured by artificial right arm regardless of gender and age (all P<0.05). The consistency of blood pressure data between artificial right arm and the CCBPM mean was moderate (systolic blood pressure: ICC=0.70; diastolic blood pressure: ICC=0.62), with less consistent classification ( Kappa=0.37). The consistency of blood pressure data between CCBPM single and CCBPM mean is extremely high (systolic blood pressure: ICC=0.94; diastolic blood pressure: ICC=0.91), with highly consistent classification ( Kappa=0.74). Conclusions:Artificial right arm blood pressure measurement in physical examinations may overestimate the hypertension detection rate, and the standardized dual-arm synchronized blood pressure measurement using CCBPM can reduce irregular blood pressure measurement.

ObjectiveTo explore the molecular mechanism implicated in the treatment of primary myelofibrosis （PMF） using Chinese medicinal herbs （CMH） by bioinformatics and molecular dynamics. MethodsData mining was performed to find the high-frequency CMH in treating PMF between the year of 1985 and 2024 by searching CNKI， Chinese Science and Technology Journal Database （CCD）， and China Academic Journal Database （CSPD）. TCMSP， SwissTargetPrediction and related reports were used to collect the main active ingredients of high-frequency CMH and their targets. The PMF datasets GSE44426 and GSE124281 were downloaded from GEO database， and R software was used for data normalization and differentially expressed genes （DEGs） screening. Key module hub genes were obtained by weighted gene co-expression network analysis （WGCNA） analysis. The common intersection genes of active ingredient targets， DEGs and key module hub genes of CMH were selected， and the target network was generated using Cytoscape 3.9.2 software. The core target network was generated by topological analysis， while key pathways were selected by GO and KEGG pathway enrichment analysis， and protein interaction relationships were obtained from the String database， so as to construct drug-ingredient-target network and protein interaction network （PPI） relationship diagrams. Discovery Studio 2020 software was used to perform molecular docking， and the GROMACS program was used to perform molecular dynamics simulation. ResultsA total of 21 prescriptions were collected involving 121 herbs. There were 9 herbs with a frequency ≥10 times， which were Danshen （Radix et Rhizoma Salviae Miltiorrhizae）， Huangqi （Radix Astragali）， Baizhu （Rhizoma Atractylodis Macrocephalae）， Danggui （Radix Angelicae Sinensis）， Dangshen （Radix Codonopsis）， Gancao （Radix et Rhizoma Glycyrrhizae）， Baishao （Radix Paeoniae Alba）， Fuling （Poria） and Shudihuang （Radix Rehmanniae Praeparata） from high- to low-frequency. A total of 98 active ingredients and 1125 potential targets were obtained from 9 high-frequency CMH. GSE44426 and GSE124281 data sets screened out 24 gene samples， including 14 of the healthy control group and 10 of the PMF group， and identified 319 DEGs between the two groups， including 122 up-regulated genes and 197 down-regulated genes. WGCNA screened out 24 co-expression module genes and found that the five modules closely related to the onset of PMF were MEpink， MEdarkred， MEblack， MEgrey， and MEturquoise， involving 7112 key module hub genes. The GO and KEGG enrichment analyses indicated that lipids and the atherosclerosis pathways were mainly involved in the mechanism of above high-frequency CMH in treating PMF， which included six hub protein targets： HSP90AA1， HSP90AB1， SRC， MAPK1， IL1B and IL10. From the drug-ingredient-target network， seven active ingredients of CMH targeting at these six hub targets were found， including verbascoside， verbascos isoflavone， kaempferol， luteolin， naringenin， quercetin and pachymic acid. The molecular docking and molecular dynamics analyses showed that the key CMH were Shudihuang， Huangqi， Baishao， Danshen， Gancao and Fuling， and among the seven active ingredients， calycosin had the highest binding affinity with HSP90AB1. ConclusionThe main CMH for the treatment of PMF may be Shudihuang， Huangqi， Baishao， Danshen， Gancao and Fuling， and the active ingredients include verbascoside， verbascos isoflavones， kaempferol， luteolin， naringenin， quercetin and pachymic acid. The relevant targets are HSP90AA1， HSP90AB1， SRC， MAPK1， IL-10， and IL-1β， and the most critical pathways are lipid and atherosclerosis pathways.

Objective To explore the mechanism of Prunella vulgaris and Scutellaria barbata herb pair against breast cancer based on network pharmacology and in vitro cell experiments.Methods The effective components and targets of Prunella vulgaris and Scutellaria barbata herb pair were screened.GeneCards and OMIM databases were used to find breast cancer targets,and then drug-active ingredient-key target network and protein-protein inter-action(PPI)were constructed.R language was used to perform GO function and KEGG pathway enrichment analy-sis and survival analysis.Then the screened active components and core targets were verified by molecular docking.Cell viability was detected by CCK-8 assay.EdU and flow cytometry were used to detect cell proliferation and apop-tosis.The protein expression levels of p-AKT1,AKT1,β-catenin and c-MYC were detected by Western blot.Results Through databases analysis,a total of 36 active components and 105 intersection targets were screened out,the core components were quercetin,luteolin,kaempferol,wogonin and baicalein.Through PPI and survival analysis,the key targets were AKT1,ESR1,CASP3 and MYC.GO analysis contained 4 303 enrichment results,KEGG analysis contained 232 pathways.Molecular docking showed that the core components had strong binding ability with the key targets.Cell experiments showed that the core active ingredient quercetin could inhibit the proliferation of breast cancer cells and promote their apoptosis(P＜0.05),and down-regulate the expression levels of p-AKT1,β-catenin and c-MYC proteins(P＜0.05).Conclusion The active components quercetin in Prunella vulgaris and Scutel-laria barbata herb pair may play a role through AKT1/β-catenin signaling pathway,which provides a scientific refer-ence for the study of its mechanism of action in the treatment of breast cancer.

Objective:To summarize the research status and contents of the needs of breast cancer patients undergoing first operation.Methods:The articles related to the needs of patients undergoing first surgery for breast cancer were searched by computer in PubMed, Cochrane Library, Web of Science, Embase, China National Knowledge Infrastructure, Wanfang Database, VIP and China Biology Medicine disc. The search period was from January 1, 2013 to December 31, 2022.Results:A total of 17 articles were included, and the research design mainly focused on qualitative and observational studies. Breast cancer patients with first operation had a high degree of demand, and the demand content was diverse, mainly including information needs, health guidance needs, emotional needs and social support needs. The needs of breast cancer patients with different ages and different treatment stages were different.Conclusions:It is suggested that a personalized needs intervention plan should be formulated to meet the diversified needs of breast cancer patients.

AIM: To explore the potential mechanism of action of Pingxiao capsule in the treatment of breast cancer. METHODS: TCMSP, TCM-ID, GeneCards and other databases were used to screen the related targets of Pingxiao capsule and breast can-

Background Air quality health index (AQHI) has been widely used to quantify the health effects of multiple pollutants observed in population-based epidemiological studies, and can better reflect the widespread linear non-threshold between air pollution and health effects. Objective To explore an AQHI for pediatric respiratory diseases (AQHI_r) in Shanghai and evaluate its feasibility. Methods The daily numbers of hospital outpatient visits for pediatric respiratory diseases from 2015 to 2019 were obtained from five general hospitals in Xuhui, Baoshan, Hongkou, Jinshan, and Chongming Districts of Shanghai. Monitoring data on air pollutants (PM_2.5, PM₁₀, SO₂, NO₂, and O₃), air quality index (AQI), and meteorological variables (temperature, relative humidity, air pressure, and wind speed) were collected from five air quality monitoring sites nearest to selected hospitals. Time-series analysis using generalized additive model (GAM) was conducted to estimate the associations between respiratory-related pediatric outpatient visits and the concentrations of air pollutants. The sum of excess risk (ER) of hospital outpatient visits was used to construct AQHI_r. To assess the predictive power of AQHI_r, the associations of AQHI_r and AQI with the number of pediatric respiratory outpatient visits in three hospitals in Xuhui, Hongkou, and Chongming districts were compared. Results Air pollutants had various effects on respiratory diseases outpatient visits. PM_2.5, NO₂, and O₃ had most significant impacts on lag0 day and the associated ERs of hospital outpatient visits for each 10 μg·m⁻³ increase in pollutant concentration were 1.27% (95%CI: 0.88%-1.66%), 0.75% (95%CI: 0.40%-1.11%), and 0.36% (95%CI: 0.10%-0.62%), respectively. PM₁₀ and SO₂ had most significant impacts on lag3 day and the associated ERs of hospital outpatient visits for each 10 μg·m⁻³ increase in pollutant concentration were 0.81% (95%CI: 0.51%-1.12%) and 5.64% (95%CI: 3.37%-7.96%), respectively. There were significant effects of combinations of two pollutants among PM_2.5, PM₁₀, NO₂, SO₂, and O₃ except for PM₁₀+NO₂, SO₂+PM_2.5, and SO₂+NO₂ (P<0.05). According to the results of single-pollutant and two-pollutant models, PM_2.5, NO₂, SO₂, and O₃ were selected to construct AQHI_r. The comparison showed that for every interquartile range increase in AQHI_r, the ER for pediatric outpatient visits was higher than that for the value corresponding to AQI. Conclusion Air pollutants in Shanghai have an impact on the number of pediatric respiratory outpatient visits. The AQHI_r based on and outpatient visits for pediatric respiratory diseases can be a sensitive index to predict the effects of air pollution on children's respiratory health.