Objective To explore the effect of etomidate-propofol mixture anaesthesia in painless gastrointestinal endoscopy.Methods Eighty-two patients who underwent painless gastrointestinal endoscopy from September 2023 to November 2023 were divided into etomidate-propofol mixture group(observation group,n=41)and propofol group(control group,n=41)by using the random number table method.Morphine-benzedrine group(MBG)scores were recorded 30 min before the examination and before leaving the recovery room in both groups.Percutaneous arterial oxygen saturation(SpO2),heart rate(HR)and mean arterial pressure(MAP)were noted at anesthesia induction(T0),before entering the endoscope(T1),5 min after anesthesia induction(T2),and awakening(T3).Gastrointestinal endoscopy time,awakening time,recovery room stay time,total propofol consumption,and adverse reactions were also documented.Results MBG scores in both groups significantly increased before leaving the recovery room compared to 30 min before the examination,the observation group had lower MBG scores before leaving the recovery room in comparison with the control group,there were statistically significant(P＜0.05).From T1 to T3,MAP,SpO2,HR were higher in the observation group than those in the control group,there were statistically significant(P＜0.05).The observation group had shorter awakening time and recovery room stay time,there were statistically significant(P＜0.05).The observation group had lower total propofol consumption,there was statistically significant(P＜0.05).The observation group also exhibited a lower incidence of hypotension,hypoxemia,and injection pain,there were statistically significant(P＜0.05),with no statistically significant difference in the incidence of other adverse reactions(P＞0.05).Conclusion Etomidate-propofol combination anesthesia can reduce postoperative MBG scores in painless gastrointestinal endoscopy,contributing to a decreased risk of potential propofol addiction and abuse.Additionally,it stabilizes circulatory and respiratory functions,reduces adverse reactions rate,and shortens awakening time and recovery room stay time.Its application is worthy of further promotion.

Objective:To explore the role of NK cells in allogeneic hematopoietic stem cell micro-transplantation(MST)in the treatment of patients with acute myeloid leukemia(AML).Methods:Data from 93 AML patients treated with MST at our center from 2013-2018 were retrospectively analyzed.The induction regimen was anthracycline and cytarabine combined with peripheral blood stem cells transplantation mobilization by granulocyte colony stimulating factor(GPBSC),followed by 2-4 courses of intensive treatment with medium to high doses of cytarabine combined with GPBSC after achieving complete remission(CR).The therapeutic effects of one and two courses of MST induction therapy on 42 patients who did not reach CR before transplantation were evaluated.Cox proportional hazards regression analysis was used to analyze the impact of donor NK cell dose and KIR genotype,including KIR ligand mismatch,2DS1,haplotype,and HLA-Cw ligands on survival prognosis of patients.Results:Forty-two patients received MST induction therapy,and the CR rate was 57.1％after 1 course and 73.7％after 2 courses.Multivariate analysis showed that,medium and high doses of NK cells was significantly associated with improved disease-free survival(DFS)of patients(HR=0.27,P=0.005;HR=0.21,P=0.001),and high doses of NK cells was significantly associated with improved overall survival(OS)of patients(HR=0.15,P=0.000).Donor 2DS1 positive significantly increases OS of patients(HR=0.25,P=0.011).For high-risk patients under 60 years old,patients of the donor-recipient KIR ligand mismatch group had longer DFS compared to the nonmismatch group(P=0.036);donor 2DS1 positive significantly prolonged OS of patients(P=0.009).Conclusion:NK cell dose,KIR ligand mismatch and 2DS1 influence the therapeutic effect of MST,improve the survival of AML patients.

Objective To explore the effect of Rhizoma corydalis on the immune escape of Epstein-Barr virus(EBV)positive gastric cancer cells and its mechanism of targeting CXCL17 to affect immune escape of EBV-positive gastric cancer cells.Methods GEO2R online analysis software was used to screen differentially expressed genes in EBV-positive gastric cancer tissues.EBV-negative AGS gastric cancer cells and EBV-positive SUN-719 gastric cancer cells were used for the experiments.RT-qPCR and Western blotting were used to detect the expression of CXCL17in EBV-negative and EBV-positive gastric cancer cells.Transfection of CXCL17 siRNA into EBV-positive gastric cancer cells,detection of PD-L1 expression through Western blotting,coculture of EBV-positive gastric cancer cells with T cells,detection of cell viability using the CCK-8 assay,and detection of cell apoptosis rate through flow cytometry were conducted.EBV-positive gastric cancer cells were treated with different concentrations of a Rhizoma corydalis extract(2,4,and 8 μg/mL).The expression of CXCL17and PD-L1 was detected through Western blotting,and EBV-positive gastric cancer cells were cocultured with T cells.Cell viability was determined using CCK-8,and cell apoptosis rate through flow cytometry.The CXCL17overexpression plasmid was transfected into EBV-positive gastric cancer cells treated with Rhizoma corydalis extract(8μg/mL).The expression of PD-L1 and p-AMPK was detected through Western blotting,and EBV-positive gastric cancer cells were cocultured with T cells.Cell viability was determined using CCK-8,and cell apoptosis rate with flow cytometry.Results CXCL17 expression was upregulated in EBV-positive gastric cancer tissues and cells(P<0.05).Silencing of CXCL17reduced the expression of PD-L1 in EBV-positive gastric cancer cells,inhibited the proliferation of EBV-positive gastric cancer cells cocultured with T cells,and promoted cell apoptosis(P<0.05).Rhizoma corydalis treat-ment reduced the expression of CXCL17 and PD-L1 in EBV-positive gastric cancer cells,inhibited the proliferation of EBV-positive gas-tric cancer cells cocultured with T cells,and promoted apoptosis(P<0.05).Overexpression of CXCL17reversed the inhibitory effect of the Rhizoma corydalis treatment on PD-L1 expression and cell proliferation in EBV-positive gastric cancer cells,as well as the promoting effect of cell apoptosis(P<0.05).Overexpression of CXCL17also reduced the expression of p-AMPK in EBV-positive gastric cancer cells treated with Rhizoma corydalis(P<0.05).Conclusion CXCL17 expression is upregulated in EBV-positive gastric cancer cells,and Rhizoma corydalis inhibits immune escape in gastric cancer cells by downregulating CXCL17 expression in EBV-positive gastric cancer cells,which may be related to the activation of the AMPK signaling pathway.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective To systematically evaluate and analyze the qualitative research on the experience of maintenance hemodialysis patients,so as to provide references for the implementation of exercise interventions in maintenance hemodialysis patients.Methods We searched databases including PubMed,Embase,Web of Science,Cochrane Library,PsycINFO,CINAHL,CBM,CNKI,WanFang Database and VIP from inception to September 30,2022,to collect qualitative studies about exercise experience of maintenance hemodialysis patients.The quality of included studies was evaluated according to JBI Critical Appraisal Tool for qualitative studies in Australia.The results were integrated by integrating methods.Results A total of 14 studies were included.47 completed findings were grouped according to their similarities to form 12 categories.These categories resulted in 4 synthesized findings.Integration results 1:recognizing the positive effects and potential risks of intradialytic exercise.Integration results 2:barriers and facilitators of intradialytic exercise.Integration results 3:needs of intradialytic exercise.Integration results 4:exercise experience on non-dialysis day.Conclusion The experience and needs of maintenance hemodialysis patients should be considered to ensure patient compliance and continuity when exercise programs were designed.

Activation of nuclear factor erythroid 2-related factor 2(Nrf2)by Kelch-like ECH-associated protein 1(Keap1)alkylation plays a central role in anti-inflammatory therapy.However,activators of Nrf2 through alkylation of Keap1-Kelch domain have not been identified.Deoxynyboquinone(DNQ)is a natural small molecule discovered from marine actinomycetes.The current study was designed to investigate the anti-inflammatory effects and molecular mechanisms of DNQ via alkylation of Keap1.DNQ exhibited signif-icant anti-inflammatory properties both in vitro and in vivo.The pharmacophore responsible for the anti-inflammatory properties of DNQ was determined to be the α,β-unsaturated amides moieties by a chemical reaction between DNQ and N-acetylcysteine.DNQ exerted anti-inflammatory effects through activation of Nrf2/ARE pathway.Keap1 was demonstrated to be the direct target of DNQ and bound with DNQ through conjugate addition reaction involving alkylation.The specific alkylation site of DNQ on Keap1 for Nrf2 activation was elucidated with a synthesized probe in conjunction with liquid chromatography-tandem mass spectrometry.DNQ triggered the ubiquitination and subsequent degra-dation of Keap1 by alkylation of the cysteine residue 489(Cys489)on Keap1-Kelch domain,ultimately enabling the activation of Nrf2.Our findings revealed that DNQ exhibited potent anti-inflammatory capacity through α,β-unsaturated amides moieties active group which specifically activated Nrf2 signal pathway via alkylation/ubiquitination of Keap1-Kelch domain,suggesting the potential values of targeting Cys489 on Keap1-Kelch domain by DNQ-like small molecules in inflammatory therapies.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective To explore training programs for pharmacists in retail pharmacies to implement medication therapy management services for patients with chronic diseases.Methods Combined with national conditions in China,the expert consultation method was used to establish a training program for pharmacists in retail pharmacies on chronic disease medication therapy management in terms of curriculum setting,teaching mode,and teaching assessment,and to implement the training.Qualitative interviews were conducted to gain an in-depth understanding of pharmacists'evaluations and suggestions on the training program.Results The training curriculum covered practice skills of pharmaceutical care and pharmacotherapeutics.The teaching modes included online learning and Q&A,case writing,role-playing and standardized patient case practices,and teaching assessment was conducted through knowledge quizzes,objective structured clinical exams,practice tests and questionnaires.181 pharmacists attended and completed the training,and the score of their overall satisfaction with the training program was 4.7(out of a maximum score of 5.0).Through the training,pharmacists'knowledge and skill levels in medication therapy management as well as attitudes,confidence and perceptions of practice were significantly improved and demonstrated better pharmacy practice abilities.Most pharmacists expressed their learning needs for disease-based pharmacy service model and communication skills training with patients in qualitative interviews.Conclusion A training program suitable for retail pharmacists to improve the comprehensive ability of chronic disease medication therapy management has initially formed,and disease-based doctor-patient communication ability and pharmaceutical care process training should become the focus of learning in medication therapy management service ability of retail pharmacists.

Aim To explore the effects of Lycium berry seed oil on Nrf2/ARE pathway and oxidative damage in testis of subacute aging rats. Methods Fifty out of 60 male SD rats, aged 8 weeks, were subcutaneously injected with 125 mg • kg"D-galactosidase in the neck for 8 weeks to establish a subacute senescent rat model. The presence of senescent cells was observed using P-galactosidase ((3-gal), while testicular morphology was examined using HE staining. Serum levels of testosterone (testosterone, T), follicle-stimulating hormone ( follicle stimulating hormone, FSH ) , luteinizing hormone ( luteinizing hormone, LH ) , superoxide dis-mutase ( superoxide dismutase, SOD ) , glutathione ( glutathione, GSH) and malondialdehyde ( malondial-dehyde, MDA) were measured through ELISA, and the expressions of factors related to aging, oxidative damage, and the Nrf2/ARE pathway were assessed via immunohistochemical analysis and Western blotting. Results After successfully identifying the model, the morphology of the testis was improved and the intervention of Lycium seed oil led to a down-regulation in the expression of [3-gal and -yH2AX. The serum levels of SOD, GSH, T, and FSH increased while MDA and LH decreased (P 0. 05) . Additionally, there was an up-regulated expression of Nrf2, GCLC, NQOl, and SOD2 proteins in testicular tissue ( P 0. 05 ) and nuclear expression of Nrf2 in sertoli cells. Conclusion Lycium barbarum seed oil may reduce oxidative damage in testes of subacute senescent rats by activating the Nrf2/ARE signaling pathway.