ObjectiveTo develop an assessment tool for apraxia of speech (AOS) of Chinese Putonghua speakers and test its reliability and validity. MethodsThe Chinese Apraxia of Speech Assessment and Diagnostic Tool (CAADT) was developed based on the Apraxia of Speech Rating Scale 3.5, combined with the linguistic characteristics of Chinese and clinical experience. The tool consistsed of eleven items across three sections: articulation, prosody and alternating motion rates. Six experts evaluated the content validity. From November, 2024 to May, 2025, 51 patients with post-stroke AOS (experimental group) and ten patients with post-stroke aphasia without AOS (control group) were recruited from Anhui Wannan Rehabilitation Hospital (the Fifth People's Hospital of Wuhu), and tested with CAADT. Reliability was assessed using Cronbach's α coefficient, Kendall's coefficient of concordance W and Pearson correlation coefficient. Validity was evaluated using the content validity index (CVI) and Spearman correlation coefficient. Discriminative effect was analyzed using the receiver operating characteristic (ROC) curve. ResultsThe Cronbach's α coefficients for the articulation and prosody sections and the total scale were all > 0.9, while it was 0.454 for the alternating motion rates. Inter-rater reliability was good (W ≥ 0.598, P < 0.001). Test-retest reliability showed high positive correlations for the three sections and the total score between the two assessments (r ≥ 0.84, P < 0.001). The scale-level CVI was 0.95, and the item-level CVI ≥ 0.83. The Spearman correlation coefficients among the sections ranged from 0.30 to 0.70. ROC analysis revealed an area under the curve of 0.953, with a cut-off value of 11, yielding a sensitivity of 0.92 and a specificity of 0.90. ConclusionCAADT demonstrates good reliability, validity and discriminative effect, which can be used for clinical assessment and auxiliary diagnosis of Chinese Putonghua speaking patients with post-stroke AOS.

Objective Fasting hypometabolism regulation technology has broad application potential in long-term space flight and survival in extreme extraterrestrial environments.In-depth research on the substrate conversion of energy metabolism and the formation of new steady states under fasting hypometabolism will provide theoretical basis and experimental data support for formulating effective prolonged fasting application mode.Methods 30 SD rats were randomly divided into control group and fasting group(fasting for 1,2,3,and 5 days).Blood biochemical examination,qRT-PCR,and western blotting were performed to analyze the body weight,blood biochemistry,and expression changes of genes and proteins related to glucose and lipid metabolism during different fasting periods.Results Prolonged fasting significantly reduced the body weight,blood glucose,and triglyceride levels of rats;increased the blood ketone level,and replaced glucose as the main energy substance in the body.There are temporal and tissue-specific changes as a whole.Hepatic and renal gluconeogenesis play major roles respectively during different fasting periods.As the fasting time prolongs,the level of hepatic gluconeogenesis gradually decreases,the content of FFA in the blood increases,the expression level of genes related to fat synthesis decreases,fatty acid oxidation is enhanced,and the expression level of the key gene HMGCS2 for ketone body generation increases.Conclusion During prolonged fasting,there is a significant conversion of glucose-ketone energy supply substrates,and a new steady state of energy metabolism mainly supplied by ketone bodies is formed within 2-5 days of fasting.The body maintains a low metabolic state by regulating changes in key genes in pathways such as glucose and lipid metabolism.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

AIM:To investigate the protective ef-fect of midazolam(MID)on cardiac function and angiogenesis in myocardial infarction(MI)rats and its effect on c-Jun N-terminal kinase-signal trans-ducer and activator of transcription 3(JNK/STAT3)pathway.METHODS:MI rat model was established by left anterior descending coronary artery ligation method.A total of 68 rats were modeled.After ex-cluding the rats that died(n=3,mortality rate≈4.4％)or failed modeling(n=5),the 60 MI rats in-cluded in this experiment were randomly divided in-to the model group(Model group),MID low,medi-um and high dose group(1 mg/kg MID-L group,3 mg/kg MID-M group,6 mg/kg MID-H group),MID high dose+JNK activator Anisomycin group(6 mg/kg MID-H+Anisomycin group),12 rats in each group.Another 12 rats undergoing sham surgery were selected as the control group.All rats were echocardiographic and evaluated for cardiac func-tion.The myocardial tissue pathological morpholo-gy and the myocardial fibrosis degree were ob-served by hematoxylin-eosin(HE)staining and Mas-son staining.The serum myocardial injury markers[creatine kinase isoenzyme(CK-MB)and brain na-triuretic peptide(BNP)]and inflammatory factors[tumor necrosis fa ctor-α(TNF-α),interleukin-1β(IL-1β)and C-reactive protein(CRP)],myocardial tis-sue oxidative stress indicators[malondialdehyde(MDA),superoxide dismutase(SOD)and reduced glutathione(GSH)]levels were detected by enzyme-linked immunosorbent assay(ELISA).The vascular endothelial growth factor(VEGF),vascular endothe-lial growth factor receptor 2(VEGFR2),p-JNK,JNK,p-STAT3 and STAT3 proteins expression levels were detected by Protein blot method(Western blot).RE-SULTS:Compared with Control group,the myocar-dial tissue damage degree in Model group was more severe,the myocardial interstitial fibrosis de-gree was greatly deepened,the collagen volume fraction was significantly increased,the left ventric-ular end-systolic diameter(LVESD),left ventricular end-diastolic diameter(LVEDD),CK-MB,BNP,CRP,TNF-α,IL-1β and MDA levels were significantly in-creased,the left ventricular ejection fraction(LVEF),left ventricular short axis shortening rate(LVFS),GSH and SOD levels were significantly de-creased,and the VEGF,VEGFR2 proteins expression levels were significantly decreased,the p-JNK/JNK and p-STAT3/STAT3 were significantly increased(P＜0.05).Compared with Model group,with the MID dose increase,the myocardial tissue damage de-gree in MID-L,MID-M and MID-H groups was signif-icantly reduced,the myocardial interstitial fibrosis degree was reduced,the collagen volume fraction was decreased,the LVESD,LVEDD,CK-MB,BNP,CRP,TNF-α,IL-1β and MDA levels were significantly decreased,the LVEF,LVFS,GSH and SOD levels were significantly increased,and the VEGF,VEGF2R protein expression levels were significantly in-creased,p-JNK/JNK and p-STAT3/STAT3 were signifi-cantly decreased(P＜0.05).Compared with MID-H group,the myocardial tissue damage degree in MID-H+Anisomycin group was more severe,the myocardial interstitial fibrosis degree was greatly deepened,the collagen volume fraction was signifi-cantly increased,the cardiac function was weak-ened,the oxidative stress and inflammation were aggravated,LVESD,LVEDD,CK-MB,BNP,CRP,TNF-α,IL-1β and MDA levels were increased,the LVEF,LVFS,GSH,SOD,VEGF and VEGFR2 proteins expres-sion levels were significantly decreased,p-JNK/JNK and p-STAT3/STAT3 were significantly increased(P＜0.05).CONCLUSION:MID may improve myocardial tissue damage in MI rats by regulating JNK/STAT3 pathway,reduce oxidative stress and inflammatory response,promote angiogenesis,so as to play a role in cardiac protection.

Objective:To explore the effects of Baduanjin and brisk walking on the sleep quality among fe-male college students.Methods:Ninety female college students with poor sleep quality[Pittsburgh Sleep Quality Index(PSQI)≥ 8]were recruited randomly assigned to Baduanjin,brisk walking,and control groups,with 30 par-ticipants in each.The Baduanjin and brisk walking groups participated in 10-week intervention(five 45-minute ses-sions per week),while the control group did not receive any intervention.Baseline and post-intervention assessments were conducted using the PSQI,a lung capacity test,echocardiography,and the Fatigue Scale(FS-14).Results:Af-ter 10 weeks,participants in both the Baduanjin and brisk walking groups got significantly lower PSQI and FS-14 total scores compared to baseline(Ps＜0.001).Cardiopulmonary function indicators,including stroke volume(SV),forced expiratory volume in one second(FEV1.0),the vital capacity-to-body mass index(VC/W),and maximum voluntary ventilation per minute(MVV),also significantly improved(Ps＜0.001).Furthermore,the Baduanjin group had significantly lower PSQI and FS-14 scores than both the brisk walking and control groups(P＜0.001),along with superior improvements in cardiopulmonary function(P＜0.001).Conclusion:This study in-dicates that Baduanjin is particularly effective in improving sleep quality,cardiopulmonary function,and reducing fatigue among female college students,showing advantages over brisk walking.

Objective·To evaluate the feasibility and diagnostic performance of diffusion-relaxation correlation spectroscopic imaging(DR-CSI)in assessing the heterogeneity of benign and malignant head and neck tumors,as well as in identifying occult lymph node metastasis(OLNM).Methods·A prospective study was conducted from January to December 2024 at Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,enrolling patients with suspected head and neck tumors who were scheduled for surgery and had a confirmed pathological diagnosis.All patients underwent preoperative routine head and neck plain and contrast-enhanced magnetic resonance imaging(MRI)examinations,including DR-CSI sequence.Conventional imaging parameters,including maximal diameter(MD),depth of invasion(DOI)for tumors,and MD and short diameter(SD)for lymph nodes,were obtained.Post-processing was performed to obtain apparent diffusion coefficient(ADC),T2 value,and D-T2 spectra for all lesions.The compartment segmentation strategy was optimized based on the spectral peak distribution characteristics of different diseases,and the volume fraction(Vi)of each compartment was obtained.Independent sample t-tests,Mann-Whitney U tests,chi-square tests,or Fisher's exact tests were used to compare intergroup differences in clinical data and imaging metrics.Principal component analysis(PCA)and Adonis analysis were employed to evaluate the discriminative ability of imaging metrics among different subtypes of benign tumors.Receiver operating characteristic(ROC)analysis was used to evaluate the ability of univariate and multivariable models to characterize the malignancy of head and neck squamous cell carcinoma(HNSCC)and identify OLNM.Results·A total of 97 cases were collected,including 28 benign tumors and 69 HNSCCs.Fifteen pathologically confirmed OLNMs and 20 benign lymph nodes(BLNs)were also enrolled.Among the 28 benign tumors,there were 6 cases of pleomorphic adenoma stroma-rich(PA stroma-rich),9 cases of pleomorphic adenoma stroma-poor(PA stroma-poor),9 cases of Warthin's tumor(WT),and 4 cases of basal cell adenoma(BCA).Statistically significant differences were observed in certain imaging parameters(ADC,T2,and DR-CSI Vi)among benign tumor subtypes.PCA analysis demonstrated a strong discriminative ability of imaging parameters in distinguishing pathological subtypes of benign tumors(R2=0.64,P<0.001).Among the 69 HNSCCs,47 were classified as Grade 1(well/moderately well-differentiated)and 22 as Grade 2(moderately/poorly differentiated).Compared to Grade 1,Grade 2 showed lower ADC and higher T2 values,though differences were not statistically significant.As HNSCC malignancy increased,VA4 decreased and VB4 increased significantly.OLNM showed a significant increase in SD and VA4 compared to BLNs.The combination of SD and VA4 for preoperative OLNM identification achieved a diagnostic efficiency of 0.843.Conclusion·DR-CSI can analyze diffusion and relaxation characteristics at the sub-voxel level,offering valuable insights for characterizing benign head and neck tumor subtypes,assessing HNSCC malignancy,and identifying OLNMs.Compared to traditional parameters like ADC or T2,DR-CSI provides enhanced tissue microstructure analysis.