ObjectiveTo explore the role of neuroimaging features monitored by functional near-infrared spectroscopy （fNIRS） in postoperative delirium （POD） in elderly patients undergoing joint replacement during perioperative period， and to provide a basis for early clinical prediction. MethodsA total of 105 elderly patients who underwent joint replacement under general anesthesia were included. The Mini-Mental State Examination （MMSE） scale was used to evaluate the patient's cognition one day before the operation. Before the start of the surgery， fNIRS was used to monitor the changes of cerebral blood oxygen saturation when the patient performed the task state. The 3-minute delirium diagnostic scale （3D-CAM scale） was used to evaluate the occurrence of POD at 24， 48 and 72 h after operation. Brain network analysis was performed and Logistic regression analysis was used to explore the relationship between fNIRS monitoring data and POD in elderly patients undergoing joint replacement surgery during preoperative task state. The receiver operating characteristic curve （ROC curve） was constructed to evaluate the diagnostic efficacy， and the Hosmer-Lemeshow goodness-of-fit test was used to test the goodness of fit of the model. ResultsAmong 105 patients， 100 cases were effectively analyzed， of which 20 cases （20%） had POD. Brain network analysis showed that the r value of functional connectivity correlation coefficient in POD group （0.069±0.118） was lower than that in non-POD group （0.073±0.084）. The low channel connectivity of right primary somatosensory cortex-right primary motor cortex （RS1-RM1） and left anterior pole-right Broca's triangle （LFP-RBA44） was an important factor affecting the occurrence of POD （P < 0.05）. Based on this result， the area under the ROC curve was 0.797 and 0.784， respectively. The results of Hosmer-Lemeshow goodness-of-fit test showed that the model fitted well （all P>0.5）. ConclusionThe neuroimaging features extracted from the cerebral oxygen saturation data monitored by fNIRS are significantly correlated with the risk of POD in elderly patients undergoing joint replacement during perioperative period. Among them， the low connectivity of preoperative RS1-RM1 and LFP-RBA44 brain network channels is an important influencing factor of POD occurrence. Predicting the occurrence of POD based on fNIRS is conducive to the early intervention and risk reduction of perioperative complications， improving medical quality and promoting precision medical practice.

ObjectiveTo explore the clinical potential of magnetic resonance elastography （MRE） for assessing the stiffness of common intracranial tumors. MethodsA retrospective analysis was conducted on 47 patients with brain tumors who underwent surgical treatment at The First Affiliated Hospital of Sun Yat-sen University between April 2023 and September 2024. The cohort included 10 cases of glioma， 12 cases of vestibular schwannoma， and 25 cases of meningioma. All patients underwent multiparameter MRI and MRE preoperatively. After co-registering MRE images with contrast-enhanced 3D T1-weighted images， three regions of interest （ROIs） were placed in the areas of maximum and minimum tumor stiffness respectively to measure the shear stiffness values， and the mean was calculated as the average shear stiffness. Additionally， one ROI was placed in the white matter and one in the grey matter of the posterior horn of the lateral ventricle at the basal ganglia level to obtain normal reference values. A neurosurgeon， blind to the MRE results， graded the intraoperative tumor stiffness based on surgical videos using a 5-point scale （1： soft； 5： hard）. Intraclass correlation coefficient （ICC） was used to assess inter-observer consistency. Analysis of variance （ANOVA） and nonparametric tests were employed to compare the differences of shear stiffness values between groups. Spearman correlation analysis was used to examine the correlation between elasticity values and clinicopathological parameters. The discriminatory efficacy of shear stiffness values for tumor types was evaluated with receiver operating characteristic （ROC） curves. ResultsThe ICCs for elasticity values measured by two physicians in the hardest and softest tumor areas were 0.868 and 0.831， respectively （both P＜ 0.01）. The maximum， minimum， and average shear stiffness values of meningiomas［（1.91±0.28） m/s， （1.66±0.25） m/s， （1.78±0.26） m/s， respectively］ were significantly higher than those of gliomas［（1.59±0.23） m/s， （1.42±0.23） m/s， （1.50±0.22） m/s， respectively （P＜0.05）］. The shear stiffness values of vestibular schwannomas［（1.70±0.30） m/s， （1.51±0.23） m/s， （1.61±0.26） m/s， respectively） were lower than those of meningiomas and higher than those of gliomas， but these differences were not statistically significant （both P＞0.05）. The shear stiffness values of white matter were significantly higher than that of grey matter［（1.63±0.08） m/s vs. （1.39±0.12） m/s， P＜0.05）］. In the overall sample， the maximum， minimum， and average shear stiffness values were significantly positively correlated with the intraoperative hardness grade （r_s = 0.591， r_s = 0.541， r_s = 0.571， respectively； all P＜0.001）， negatively correlated with WHO grade （r_s = -0.458， r_s = -0.458， r_s = -0.480， respectively； all P＜0.01）， but showed no correlation with Ki-67 （all P＞0.05）. ConclusionMRE can be used to assess the stiffness of intracranial tumors and to some extent differentiate between tumor types， which aids in formulating more individualized preoperative surgical plans.

BACKGROUND:Spine osteoarthritis is a chronic inflammatory disease of the spine,articular ligaments,and tendons,and is the main cause of chronic low back pain.Artificial tiger bone powder has anti-inflammatory and pain-relieving biological effects,so it is expected to provide a new strategy for targeted therapy of spinal osteoarthritis.OBJECTIVE:To investigate the mechanism of artificial tiger bone meal in regulating the expression level of interleukin-23/interleukin-17 immune axis in improving spine osteoarthritis in rats.METHODS:Sixty SD rats were randomly divided into blank control group,model group,artificial tiger bone meal low-,medium-and high-dose groups,with 12 rats in each group.Except for the blank control group,osteoarthritis models were established in the other groups by injecting 0.1 mL of iodoacetic acid into the joint cavity of the lumbar vertebral joint capsule of the rats.15 days after modeling,the artificial tiger bone meal low,medium and high dose groups were treated by intragastric administration of 120,240 and 480 mg/kg per day respectively.The blank control group and model group were given the same volume of normal saline by gavage.After 21 days of treatment,the expression levels of interleukin-17,interleukin-23,matrix metalloproteinase-3,and chemokine receptor-6 in rat spinal articular cartilage were measured by western blot assay.The expression levels of related inflammatory factors in rat serum were detected by ELISA.The degree of joint injury and degeneration in rats was observed by hematoxylin-eosin staining and safranin O-fast green staining.RESULTS AND CONCLUSION:(1)The results of western blot assay showed that the expression levels of interleukin 17,interleukin 23,matrix metalloproteinase 3,and chemokine receptor 6 in the articular cartilage of rats in the artificial tiger bone meal high-dose group were significantly lower than those in the model group(P＜0.05).(2)ELISA results showed that compared with the model group,the artificial tiger bone meal medium-and high-dose groups had a significant down-regulating effect on the levels of serum interleukin 17,tumor necrosis factor α,interleukin 1β,and matrix metalloproteinase 3(P＜0.05).(3)Hematoxylin-eosin staining and saffron O-solid green staining showed that the infiltration and proliferation of synovial inflammatory cells in each treatment group of artificial tiger bone meal were significantly improved compared with the model group,and the pathological inflammation Osteoarthritis Research Society International score and Mankin's score in the medium-and high-dose groups of artificial tiger bone meal were significantly reduced(P＜0.05).(4)It is suggested that artificial tiger bone meal could significantly improve the inflammation and degeneration of spinal facet joints caused by iodoacetic acid chemical stimulation.Among them,the effect of the high-dose group was more significant.The mechanism may be to inhibit the expression of interleukin-23/interleukin-17 immune axis-related inflammatory factors and improve the immune microenvironment of articular cartilage.

Objective: There were associations between emotional abuse and neglect (EAN) and depression, but few studies had tested potential mechanisms underlying these relationships. We aimed to provide insights on how (the mediation role of neuroticism), and under what conditions (the moderator role of psychological resilience), led to a higher level of depression. Methods: This study was a cross-sectional study that used a random cluster sampling method. We randomly selected 3,993 participants from four junior middle schools in northern city of China. Participants were asked to complete four self-reported questionnaires, including the Childhood Trauma Questionnaire, Children Depression Inventory-Short Form, Chinese Big Five Personality Inventory Brief Version, and Chinese Resilience Scale. Results: The results showed that neuroticism mediated the associations between EAN and depression. In addition, the mediating effect of neuroticism was moderated by psychological resilience (p<0.05). Conclusion EAN and neuroticism could have an adverse impact on depression, and psychological resilience could alleviate these negative effects as a moderator. Our model suggested psychological resilience could be a particularly effective intervention point for victims of EAN.

Pristimerin, which is one of the compounds present in Celastraceae and Hippocrateaceae, has antitumor effects. However, its mechanism of action in esophageal squamous cell carcinoma (ESCC) remains unclear. This study aims to investigate the efficacy and mechanism of pristimerin on ESCC in vitro and in vivo. The inhibitory effect of pristimerin on cell growth was assessed using trypan blue exclusion and colony formation assays. Cell apoptosis was evaluated by flow cytometry. Gene and protein expressions were analyzed through quantitative reverse transcription-polymerase chain reaction (qRT-PCR), Western blotting, and immunohistochemistry. RNA sequencing (RNA-Seq) was employed to identify significantly differentially expressed genes (DEGs). Cell transfection and RNA interference assays were utilized to examine the role of key proteins in pristimerin?s effect. Xenograft models were established to evaluate the antitumor efficiency of pristimerin in vivo. Pristimerin inhibited cell growth and induced apoptosis in ESCC cells. Upregulation of Noxa was crucial for pristimerin-induced apoptosis. Pristimerin activated the Forkhead box O3a (FoxO3a) signaling pathway and triggered FoxO3a recruitment to the Noxa promoter, leading to Noxa transcription. Blocking FoxO3a reversed pristimerin-induced Noxa upregulation and cell apoptosis. Pristimerin treatment suppressed xenograft tumors in nude mice, but these effects were largely negated in Noxa-KO tumors. Furthermore, the chemosensitization effects of pristimerin in vitro and in vivo were mediated by Noxa. This study demonstrates that pristimerin exerts an antitumor effect on ESCC by inducing AKT/FoxO3a-mediated Noxa upregulation. These findings suggest that pristimerin may serve as a potent anticancer agent for ESCC treatment.
Forkhead Box Protein O3/genetics* ; Humans ; Apoptosis/drug effects* ; Esophageal Squamous Cell Carcinoma/physiopathology* ; Esophageal Neoplasms/physiopathology* ; Pentacyclic Triterpenes ; Animals ; Cell Line, Tumor ; Proto-Oncogene Proteins c-bcl-2/genetics* ; Mice ; Signal Transduction/drug effects* ; Mice, Nude ; Cell Proliferation/drug effects* ; Triterpenes/pharmacology* ; Xenograft Model Antitumor Assays ; Mice, Inbred BALB C ; Male ; Gene Expression Regulation, Neoplastic/drug effects*

Objective:To explore the application value of the double-low technique of auto-prescription technique combined with iterative reconstruction algorithm in CT pulmonary angiography (CTPA).Methods:A total of 86 patients who were clinically suspected of having pulmonary embolism and underwent CTPA examination in the First Affiliated Hospital of Dalian Medical University were prospectively collected and randomly assigned to a control group ( n = 45) and an observation group ( n = 41) according to the random number table method. In the control group, a tube voltage of 120 kVp was used with a standard iodine contrast agent dose of 60 ml, and images were reconstructed using the 40% adaptive statistical iterative reconstruction algorithm (ASIR-V). In the observation group, the tube voltage was set by auto-prescription technique, and 0.4 ml/kg of personalized low iodine contrast agent was used. Images were reconstructed with 40%, 60%, and 80% ASIR-V, respectively, and designated as observation 1, observation 2, and observation 3 respectively. The volume CT dose index (CTDI vol), dose-length product (DLP), and effective dose ( E) were recorded and compared among the four groups. The CT values and standard deviation (SD) of the main pulmonary artery, left and right pulmonary arteries, as well as the left and right pulmonary lobe arteries were measured, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of these arteries were calculated. Additionally, the SD value at the contrast medium concentration in the superior vena cava was measured, and the artifact index (AI) was subsequently calculated. Two observers independently assessed the visibility of the pulmonary arteries, image noise, and sclerosis artifacts in the superior vena cava using a blinded method. Results:The E in the observation group was 3.28 (2.08, 3.93) mSv, which was significantly lower than that in the control group [5.03 (4.86, 5.20)] mSv, and the difference was statistically significant ( Z = 174.00, P < 0.05). The contrast agent dosage in the observation group was 28 (25, 30) ml, which was lower than that in the control group (60 ml), and the difference was statistically significant ( Z = 0, P < 0.05). The CT values for the main pulmonary artery and the left and right pulmonary lobe arteries in the observation group were higher than those in the control group, and the differences were all statistically significant ( t = -3.65 to -3.89, P < 0.05). The SNR and CNR of the observation groups 2 and 3 were greater than those of the control group ( t = -9.20 to -2.98, P < 0.05). The consistency of subjective evaluations between the two observers was good ( Kappa = 0.729 - 0.879, P < 0.05). There was no statistically significant difference in the subjective score of pulmonary artery visibility between the control and observation group ( P > 0.05). The subjective scores for image noise in observation group 2 and group 3 were higher than those in the control group ( U =598.50, 654.00, P < 0.05). The presence of artifacts due to sclerosis in the superior vena cava was significantly lower in the observation group compared to the control group ( χ2 = 46.09, P < 0.001). Conclusions:The combination of auto-prescription technique with ASIR-V reconstruction algorithm and low contrast agent imaging protocol can reduce the radiation dose and contrast agent dose without compromising image quality, and enable personalized double low CTPA imaging.

OBJECTIVE The emergence of evolving variants of Coronavirus disease 2019(COVID-19)has fostered the need for change of newer and adaptive treatments for these infections.During the COVID-19 pandemic and persists,traditional Chinese medicine(TCM)herbs exhibit significant bioactivity and therapeutic effect.This study is aimed to evaluate the efficacy of four TCM preparations on 28-day mortality risk of patients and changes of the laboratory indicators.METHODS The retrospective cohort study included patients with COVID-19 who were admitted to the Jiangsu Province Hospital of Chinese Medicine from December 15,2022 to January 15,2023,and those died within 48 hours of admission or cannot be tracked for outcomes were excluded.The pri-mary outcome was survival status in 28 days(death or survival)starting from the day of admission.The second outcomes were labora-tory indicators,including absolute lymphocyte count,lactate dehydrogenase,creatinine,and blood urea nitrogen.Binary logistic re-gressions were used to estimate the effect of TCM preparations on the primary and secondary outcomes in main analysis.Meanwhile,heterogeneity and robustness of results from main analysis were assessed by subgroup analyses and multiple sensitivity analyses.RESULTS 1 816 eligible patients were included in analysis dataset,including 573 patients received standard care(control group)and 1 243 patients received TCM preparations(hospital preparation group).The 28-day mortality rate of hospital preparation group was lower than that of control group(4.75%vs.14.83%),and the difference was statistically significant(χ2=54.666,P<0.001).The risk of 28-day mortality was 0.535 times lower in the hospital preparation group as compared with the control group(OR=0.46,95%CI:0.305-0.708,P<0.001)showed by multivariable binary logistic regressions.Subgroup analyses showed that taking TCM preparations reduced the 28-day mortality risk.Sensitivity analyses demonstrated that the results of the main analysis for primary outcomes were robust.For secondary outcomes,the risk of abnormal absolute lymphocyte counts at discharge in the hospital prepara-tion group decreased by 0.284 times(OR=0.703,95%CI:0.515-0.961,P=0.027).CONCLUSION Compared with standard of care,taking four hospital preparations including Kanggan Heji,Feining Heji,Qishen Gubiao Keli,and Qianghuo Qushi Qingwen Heji decreased risk of 28-day mortality among hospitalized COVID-19 patients.TCM therapy achieves adequate therapeutic effects in COVID-19.

Objective To analyze the clinical and cardiac magnetic resonance(CMR)characteristics of patients with Fabry disease(FD)and evaluate the application value of CMR in the early diagnosis of cardiac involvement in FD.Methods This retrospective study involved nine patients with FD confirmed by renal biopsy pathology and genetic testing at our hospital between January 2021 and October 2024.Their clinical baseline data,laboratory test reuslts,and CMR images were collected.CMR images were analyzed using CVI42 software to generate functional,morphological,and structural parameters.Results In this study,78％of the patients were male,and a high proportion(67％)had a family history of FD.Electrocardiographic abnormalities were observed in eight patients(89％),while 33％reported acroparesthesia and 22％exhibited cornea verticillata,a characteristic ocular manifestation of FD.Left ventricular hypertrophy was present in four patients,with one case also showing right ventricular hypertrophy.Late gadolinium enhancement(LGE)was positive in one patient,presenting as intermural enhancement.The mean left ventricular ejection fraction(LVEF)was within the normal range.T1 mapping demonstrated that both global and segmental native T1 values in the left ventricular myocardium were below 1 200 ms.Conclusion Multimodal CMR imaging provides crucial imaging evidence for the diagnosis of FD,with native T1 mapping showing significant clinical potential for disease staging.

Objective To explore the application value of deep learning image reconstruction(DLIR)algorithm combined with a large reconstruction matrix in lung nodules screening using low-dose computed tomography(LDCT)of the chest.Methods Patients who underwent LDCT scans were prospectively enrolled.The control group(group A)used the iterative reconstruction(IR)algorithm(Karl)with a reconstruction level of Karl 5,reconstructed images of 512×512(group A1)matrix,and 1 024 × 1 024(group A2)matrix.The experimental group employed DLIR combined with 512×512(group B)matrix and 1 024 × 1 024(group C)matrix for image reconstruction at levels 1-5,which were recorded as groups B1-5 and groups C1-5.The CT values and standard deviation(SD)values of the lung parenchyma and tracheal air were measured,and the signal-to-noise ratio(SNR)was calculated.The overall lung image quality was scored on a Likert 5-point scale,and the subgroup with the best lung image quality was selected.The lung nodule detec-tion rate and clarity were compared with group A1.Results Under the same reconstruction matrix,the CT values of the tracheal air and lung parenchyma in the experimental group showed no significant difference compared to the control group,while the SD values were lower and SNR were higher(P＜0.05).Within groups B and C,as the DLIR level increased,the SD values of the tracheal air and lung paren-chyma gradually decreased,and SNR gradually improved(P＜0.05).Subjective scores for the image quality in groups B and C initially increased and then decreased,with group B3 and group C4 showed the best image quality.No difference was observed in objective eval-uation between the two groups,but the subjective image quality score of group C4 was superior to group B3(P＜0.05).Subjective eval-uation of lung nodule display in group C4 was better than in group A1(P＜0.05).Conclusion DLIR algorithm combined with a large reconstruction matrix is feasible for lung nodules screening in chest LDCT,reducing image noise while improving lung nodules clarity,demonstrating significant clinical value.

OBJECTIVE To investigate the therapeutic effect of Qingchang Huazhuo Formula(QCHZF)on mice with ulcerative colitis(UC)and the influences of fecal metabolites based on non-targeted metabolomics to investigate the mechanism of action of QCHZF in the treatment of UC.METHODS UC mice were induced by dextran sulfate sodium salt(DSS)and were administered with QCHZF.During the experiment,the body weight,stool characteristics and blood in stool were recorded daily,and the disease activity index(DAI)was calculated.At the end of the experiment,the length of colon was measured,colonic tissue damage in mice were ob-served by hematoxylin-eosin and alcian blue staining,mRNA expression levels of inflammatory factors,IL-6,IL-18 and IL-1β,and intestinal barrier factors,ZO-1 and Muc2,were detected in colon tissues via qPCR method,and protein expression level of intestinal barrier,Muc2,was detected with immunofluorescence.Fecal metabolite changes in mice were detected employing un-targeted metabo-lomics and analyzed by MetaboAnalyst 5.0 for metabolic pathway enrichment.RESULTS QCHZF significantly alleviated colitis symptoms,increased body weight,decreased DAI score,reversed colonic shortening,inhibited inflammatory factors expression,im-proved colonic tissue structure disorders,increased the number of goblet cells,and restored the intestinal barrier in UC mice,regulated 58 metabolites,mainly involving pathways of methionine and cysteine metabolism,purine metabolism,steroid hormone biosynthesis,vitamin B6 metabolism,tryptophan metabolism and primary bile acid pathways.CONCLUSION QCHZF can improve colitis symp-toms,repaire the intestinal barrier and modulate fecal metabolites and related metabolic pathways in UC mice.