Objective: To present the plotting of trend analysis charts and the application of multi-rule trend analysis method for monitoring the quality of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells. Methods: Samples of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells were collected in accordance with relevant protocols and requirements. The results of blood quality testing were compiled. The trend line charts were plotted for the deviation rates of volume, hemoglobin (Hb) content, supernatant protein content, and leukocyte residual count. In addition, the trend line chart were plotted for hematocrit and post-storage hemolysis rate. Results: The trend analysis rules for the deviation rate of volume from the standard were: 1 categorized as out-of-control, (3 of 4) as warning, R as warning, 8 as alert, and 12 as alert. For Hb content deviation rate, the rules were: <0% categorized as out-of-control; <20% but ≥0% (for whole blood) or <10% but ≥0% (for washed red blood cells and leukocyte-depleted suspended red blood cells) as a warning. For supernatant protein content deviation rate, the rules were: ≥0.0% as out-of-control, and >-10% but <0.0% as a warning. For hematocrit, the rules were: 1 as out-of-control and (3 of 4) as warning. For leukocyte residual count deviation rate, the rules were: >0.0% as out-of-control, and >-10% but ≤0.0% as a warning. For post-storage hemolysis rate, the rule was: ≥0.8% out-of-control. Conclusion: The application of multi-rule trend analysis facilitates the timely identification of trend abnormalities and factors causing deviations in the collection and preparation processes of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells, thereby providing reliable numerical evidence for their correction and adjustment.

Objective To explore the effects of different education and examination methods on the examination results during the screening/evaluation of patent foramen ovale by contrast-enhanced transcranial Doppler(cTCD).Methods Patients who underwent cTCD screening/evaluation for patent foramen ovale in our hospital from May 2023 to February 2024 were retrospectively selected as the research subjects.The patients were divided into the observation group and the control group according to different education and examination methods during the peri-examination period.Patients who received video education,modified Valsalva maneuver,and injection of contrast agent with 20 mL syringe were included into the observation group,and patients who received artificial education,Valsalva maneuver,and injection of contrast agent with 10 mL syringe were included into the control group.The positive detection rate of patent foramen ovale,right-to-left shunt microbubble grading during Valsalva/modified Valsalva maneuver,systolic blood flow velocity,pulsatility index(PI),resistive index(RI),examination duration,total physician-patient communication time,whether occlusion surgery was performed,and patient satisfaction were compared between the two groups.Results The positive detection rate of patent foramen ovale by cTCD(82.93%vs.95.92%),the detection rate of the maximum amout(grade Ⅲ)of microbubbles(39.02%vs.61.22%),the total physician-patient communication time during the peri-examination period[11.30(10.00,14.00)minutes vs.8.23(7.00,10.00)minutes],the rate of occlusion surgery(48.78%vs.73.47%),and the total patient satisfaction(80.49%vs.91.84%)showed statistically significant differences between the control group and the observation group(P<0.05).Additionally,the receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC)for diagnosing patent foramen ovale were 0.718 in the control group and 0.855 in the observation group.Conclusion Peri-examination interventions such as video education,modified Valsalva maneuver,and injection of contrast agent with 20 mL syringe can improve the positive detection rate of patent foramen ovale,reduce ineffective physician-patient communication,and improve patient satisfaction.

Objective:To investigate the efficacy of Saussurea involucrata injection (SII) in alleviating rheumatoid arthritis (RA) and to explore the mechanism of action of SII in alleviating RA through the Toll-like receptor 4 (TLR4)/nuclear factor-kappaBp65 (NF-κBp65) pathway-mediated M1 macrophage polarization.Methods:In vivo experiments were conducted using a collagen-induced arthritis (CIA) rat model. After successful modeling, the CIA rats were randomly assigned into five groups ( n=10 per group): CIA control group, MTX group, low-dose SII (L-SII) group, medium-dose SII (M-SII) group, and high-dose SII (H-SII) group. The efficacy of SII in alleviating RA was evaluated using arthritis index scores, histopathology, and ELISA to measure serum levels of nitric oxide (NO), interleukin 1β (IL-1β), IL-6, and tumor necrosis factor α (TNF-α). Subsequently, Western blot analysis was used to detect the expression of inducible nitric oxide synthase (iNOS) and CD86 proteins in synovial tissue. In vitro experiments involved first isolating and inducing rat bone marrow-derived macrophages (BMDMs). Then, BMDMs were polarized toward the M1 phenotype using lipopolysaccharide (LPS) combined with interferon-γ (IFN-γ). Concurrently, cells were treated with SII and the TLR4 inhibitor TAK242. Subsequently, ELISA was used to detect NO, IL-1β, TNF-α levels in the cell culture supernatant via ELISA. RT-qPCR was used to detect the expression of IL-1b, IL-6, and TNF-α genes in each group of cells. Western blot analysis was performed to detect the expression of iNOS, CD86, TLR4, myeloid differentiation primary response 88 (MyD88), and p-NF-κBp65/NF-κBp65 proteins in the cells. Data analysis between multiple groups was performed using one-way analysis of variance, and between pairs using LSD- t-tests. Results:In vivo experimental results showed that compared with the CIA group(7.90 ± 0.70), MTX and SII both improved the pathological symptoms of rats and reduced the ankle joint pathological score [MTX (4.40 ± 0.92), L-SII (7.00 ± 0.89), M-SII (5.10 ± 1.30), H-SII (4.90 ± 0.94), t=33.86, P<0.001; t=9.10, P<0.001; t=2.38, P=0.029; t=5.69, P<0.001; t=7.66, P<0.001], while downregulating serum levels of NO, IL-1β, IL-6, and TNF-α levels in serum, as well as iNOS [ t=30.01, P<0.001; t=6.17, P=0.003; t=10.86, P<0.001; t=28.95, P<0.001; t=19.03, P<0.001] and CD86 [ t=65.61, P<0.001; t=8.76, P<0.001; t=13.18, P<0.001; t=13.22, P<0.001; t=18.91, P<0.001] expression. In vitro experimental results showed that compared with BMDMs treated with LPS and IFN-γ, SII and TAK242 treatment reduced the levels of NO, IL-1β, IL-6, and TNF-α in the supernatant and decreased the expression of IL-1b, IL-6, and TNF-α genes. Additionally, SII and TAK242 treatment downregulated the expression of iNOS and CD86 proteins in cells, and simultaneously downregulated TLR4, MYD88, and p-NF-κBp65/NF-κBp65 expression ( t=35.84, P<0.001; t=15.69, P<0.001; t=21.99, P<0.001; t=23.64, P<0.001; t=22.50, P<0.001). Additionally, compared with the TAK242 group alone, TAK242 + H-SII showed no significant differences in the modulation of M1 macrophage polarization and TLR4/NF-κBp65 pathway-related indicators. Conclusion:SII exerts anti-inflammatory and anti-RA effects by inhibiting TLR4/NF-κBp65-mediated M1 macrophage polarization.

Although standardized diagnosis and treatment procedures and appropriate therapy have been recommended for hematological malignancies under the practice of evidence-based medicine,due to heterogeneity of the disease and individual differences in the population,different patients may get dif-ferent clinical efficacy and treatment-related toxicities under the same therapy.How to predict the toler-ance of an individual with hematological malignancy to a specific regimen accurately is critical.This pa-per reviews the evaluation methods of treatment tolerance in patients with hematological malignancies,assisting clinicians in making scientific evaluation of tolerance for different patients and choosing the most suitable regimen.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:This study aims to explore the job preferences of county-level Centers for Disease Control and Prevention(CDC)personnel and to provide a basis for the development of effective incentive mechanisms.Methods:This study used a combination of stratified sampling and latent class sampling to investigate 1 809 respondents from 56 county-level CDCs in Shandong Province,Hubei Province,and Guizhou Province.Data were analysed using a mixed logit model and a latent class model,and willingness to pay was calculated.Results:The results of the mixed logit model showed that,all attributes and their levels had a significant influence(P<0.05),with establishment being the most important motivating factor(β=2.249).In the latent class model,respondents were divided into three categories.The main differences between the three classes were the choice of exit options and differences in preferences for job attributes.Conclusion:County-level CDC personnel preferred jobs with higher incomes,very good benefit levels,establishment,low workload,better recognition and respect from the public,more opportunities for career advancement,and abundant training opportunities.It is recommended that the total number of establishment should be rationally controlled and dynamically adjusted to balance the differences between working conditions within and outside the establishment;that a comprehensive approach should be adopted to improve both hygiene and motivation factors;and that different incentives should be adopted for different categories of CDC staff. Those who are willing to make a change should be provided with more opportunities for training and career advancement.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.

AIM:To investigate the potential mechanism of neutrophil extracellular traps(NETs)in the pla-centa during the pathogenesis of preeclampsia(PE).METHODS:Differential neutrophil infiltration in PE versus normo-tensive placentas was assessed using placental transcriptome sequencing data.Single-cell sequencing analysis of GSE173193 dataset was conducted to evaluate the expression of NETs formation-related genes in neutrophils from PE pla-centa and control placenta.Immunofluorescence and ELISA were used to measure NETs levels in placental tissues.Fol-lowing NETs generation and treatment of human extravillous trophoblast(EVT)HTR8/Svneo strain with NETs,RNA se-quencing was utilized to identify potential signaling pathways through which NETs regulate trophoblast function.RE-SULTS:Neutrophil infiltration,and expression of NETs formation critical genes,MPO(myeloperoxidase)and ELANE(elastase,neutrophil expressed),in neutrophils were significantly increased in PE placentas compared with controls.The level of NETs was elevated in PE placentas as well.The NETs significantly inhibited the migration of HTR8/Svneo cells.Disrupted F-actin arrangement,aggregate formation,and reduced paxillin expression were observed in NETs-treated HTR8/Svneo cells.Single-cell sequencing analysis revealed that focal adhesion and stress fiber pathways were down-regu-lated in the EVT of PE placenta.CONCLUSION:Neutrophil infiltration and NETs formation were increased in PE.The NETs may inhibit EVT migration by inducing stress fiber disassembly and down-regulating paxillin expression,thereby dis-rupting cytoskeletal organization and focal adhesion formation.