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.

Colorectal cancer （CRC） is one of the most common cancers， with its incidence ranking high among cancers. It stands as the second leading cause of cancer-related death worldwide. In the early stages， CRC lacks specific symptoms， and most patients are diagnosed at advanced stages， making it a major research focus in the field of gastrointestinal tumors. Currently， clinical CRC treatments face several common challenges， including high surgical risks， frequent metastasis and recurrence， drug resistance， and significant side effects from chemotherapy and radiation therapy. With the development and application of traditional Chinese medicine （TCM）， it has been found that TCM and its active ingredients can effectively inhibit CRC cell proliferation， invasion， migration， and angiogenesis， and promote apoptosis and autophagy， thereby slowing the progression of CRC. This has become a key focus of CRC treatment research. Salvia Miltiorrhiza has multiple pharmacological effects， including activating blood circulation to dispel blood stasis， unlocking meridians to relieve pain， clearing heat to calm irritability， and cooling blood to reduce abscesses. It contains a variety of chemical components， including diterpenoids， phenolic acids， flavonoids， polysaccharides， nitrogen-containing compounds， steroids， and lactone compounds. This review summarized the molecular mechanisms of Salvia miltiorrhiza and its active ingredients in the treatment of CRC. It is found that these ingredients exert anti-CRC effects through various molecular mechanisms， including cell cycle arrest， promotion of apoptosis， inhibition of cell invasion and migration， induction of autophagy， suppression of tumor angiogenesis， and remodeling of the tumor microenvironment. The review aims to provide new insights for the drug development and clinical application of Salvia miltiorrhiza in CRC treatment.

ObjectiveThe accuracy of Y-chromosome haplogroup assignment is crucial for tracing paternal lineage in male samples. With the advancement of high-throughput sequencing technologies, high-density Y-SNP genotyping from whole-genome or array-based data has become a standard method for determiningY-chromosome haplogroups. This study systematically evaluated the performance of 4 commonly used high-density SNP genotyping systems—namely, the Global Screening Array (GSA), Chinese Genotyping Array (CGA), Affymetrix array, and the 1240K capture panel—for haplogroup assignment. This work provides a reference for data comparison across different systems. MethodsWe extracted genotype data for the 4 Y-SNP panels from 30× whole-genome sequencing (WGS) data of 1 590 male samples from the 1000 Genomes Project. Additionally, GSA array genotype data from 384 relative pairs (spanning 1st- to 12th-degree relationships) from 109 Chinese Han families were collected. Haplogroup assignment was performed using Y-LineageTracker v1.3.0 software. We assessed the concordance and resolution of haplogroup assignments between the four Y-SNP panels and the WGS data. The consistency and resolution of haplogroup assignments were also evaluated for both the 1000 Genomes Project samples and the 109 family samples collected in this study. Furthermore, the impact of varying numbers of Y-SNPs on haplogroup assignment was examined. ResultsThe GSA and CGA panels demonstrated superior resolution and discrimination of haplogroup subclades compared with the other two panels. The haplogroup assignments from the GSA, CGA, and 1240K panels showed high concordance with WGS data, with consistency rates exceeding 88.70%, whereas the Affymetrix platform exhibited a significantly lower consistency rate of 61.89%. Specifically, the GSA and CGA panels consistently demonstrated superior performance compared with the other two panels in the assignment of haplogroups O-M175 and H-L901, achieving complete concordance (100%) for both haplogroups. In contrast, the Affymetrix panel erroneously assigned all individuals belonging to haplogroup O-M175 to haplogroup K2-M526. Furthermore, its accuracy for haplogroup H-L901 was exceedingly low, at merely 1.41%. This poor performance was characterized by the misassignment of 98.59% of H-L901 samples—specifically, 1.41% to J-M304 and a predominant 97.18% to F-M89. For haplogroup R-M207, all four panels exhibited uniformly high levels of consistency, with concordance values exceeding 94.00%. Notably, for haplogroup E-M96, the 1240K and Affymetrix panels outperformed the GSA and CGA panels in terms of concordance, representing the first instance in which these two panels surpassed the latter. Conversely, for haplogroups J-M304, Q-M242, and I-M170, all 4 panels showed relatively elevated misclassification rates, with the Affymetrix array demonstrating the poorest overall performance. None of the four panels showed any discordant haplogroup assignments among the familial relative pairs analyzed. A positive correlation was observed between the number of Y-SNPs (ranging from 1 000 to 10 000) and classification consistency; however, classification consistency plateaued when the number of Y-SNPs exceeded 10 000. Furthermore, a random sampling analysis conducted on the GSA and CGA panels demonstrated that the haplogroup misclassification rate exhibited negligible fluctuation across the Y-SNP range of 500 to 1 000. Conversely, a marked enhancement in classification consistency was observed as the number of markers increased from 1 000 to 5 000, ultimately reaching a plateau within the interval of 5 000 to 8 000 markers. ConclusionThese findings indicate that the GSA and CGA panels provide high resolution and concordance, delivering reliable Y-haplogroup assignment for forensic investigations.

ObjectiveThe accuracy of Y-chromosome haplogroup assignment is crucial for tracing paternal lineage in male samples. With the advancement of high-throughput sequencing technologies, high-density Y-SNP genotyping from whole-genome or array-based data has become a standard method for determiningY-chromosome haplogroups. This study systematically evaluated the performance of 4 commonly used high-density SNP genotyping systems—namely, the Global Screening Array (GSA), Chinese Genotyping Array (CGA), Affymetrix array, and the 1240K capture panel—for haplogroup assignment. This work provides a reference for data comparison across different systems. MethodsWe extracted genotype data for the 4 Y-SNP panels from 30× whole-genome sequencing (WGS) data of 1 590 male samples from the 1000 Genomes Project. Additionally, GSA array genotype data from 384 relative pairs (spanning 1st- to 12th-degree relationships) from 109 Chinese Han families were collected. Haplogroup assignment was performed using Y-LineageTracker v1.3.0 software. We assessed the concordance and resolution of haplogroup assignments between the four Y-SNP panels and the WGS data. The consistency and resolution of haplogroup assignments were also evaluated for both the 1000 Genomes Project samples and the 109 family samples collected in this study. Furthermore, the impact of varying numbers of Y-SNPs on haplogroup assignment was examined. ResultsThe GSA and CGA panels demonstrated superior resolution and discrimination of haplogroup subclades compared with the other two panels. The haplogroup assignments from the GSA, CGA, and 1240K panels showed high concordance with WGS data, with consistency rates exceeding 88.70%, whereas the Affymetrix platform exhibited a significantly lower consistency rate of 61.89%. Specifically, the GSA and CGA panels consistently demonstrated superior performance compared with the other two panels in the assignment of haplogroups O-M175 and H-L901, achieving complete concordance (100%) for both haplogroups. In contrast, the Affymetrix panel erroneously assigned all individuals belonging to haplogroup O-M175 to haplogroup K2-M526. Furthermore, its accuracy for haplogroup H-L901 was exceedingly low, at merely 1.41%. This poor performance was characterized by the misassignment of 98.59% of H-L901 samples—specifically, 1.41% to J-M304 and a predominant 97.18% to F-M89. For haplogroup R-M207, all four panels exhibited uniformly high levels of consistency, with concordance values exceeding 94.00%. Notably, for haplogroup E-M96, the 1240K and Affymetrix panels outperformed the GSA and CGA panels in terms of concordance, representing the first instance in which these two panels surpassed the latter. Conversely, for haplogroups J-M304, Q-M242, and I-M170, all 4 panels showed relatively elevated misclassification rates, with the Affymetrix array demonstrating the poorest overall performance. None of the four panels showed any discordant haplogroup assignments among the familial relative pairs analyzed. A positive correlation was observed between the number of Y-SNPs (ranging from 1 000 to 10 000) and classification consistency; however, classification consistency plateaued when the number of Y-SNPs exceeded 10 000. Furthermore, a random sampling analysis conducted on the GSA and CGA panels demonstrated that the haplogroup misclassification rate exhibited negligible fluctuation across the Y-SNP range of 500 to 1 000. Conversely, a marked enhancement in classification consistency was observed as the number of markers increased from 1 000 to 5 000, ultimately reaching a plateau within the interval of 5 000 to 8 000 markers. ConclusionThese findings indicate that the GSA and CGA panels provide high resolution and concordance, delivering reliable Y-haplogroup assignment for forensic investigations.

Background/Aims: Acetyl coenzyme A (acetyl-CoA) is one of the most essential metabolites in cell metabolism but its function and concentration in hepatocellular carcinoma (HCC) remain elusive and controversial. Methods: A comprehensive analysis of acetyl-CoA levels and acetyl-CoA synthetase 2 (ACSS2) expression across a range of samples, including patient specimens from both hepatitis B virus (HBV) positive and HBV negative HCC individuals, HBV-transgenic mouse HCC models, and multiple cell lines. Furthermore, to evaluate the functional significance of ACSS2 in HBV-related HCC, we implemented both genetic and pharmacological inhibition strategies targeting ACSS2. Molecular mechanism and mitophagy assessment were revealed by cleavage under target and tagmentation sequencing, RNA sequencing, bioinformatic analyses, transmission electron microscopy and JC-1 staining. Results: Our study revealed a distinct metabolic signature of HBV-related HCC, marked by elevated acetyl-CoA, which was driven by ACSS2. ACSS2 was upregulated by the carbohydrate response element-binding protein in HBV-related HCC. Furthermore, ACSS2 improved tumor cell proliferation, an effect that was dependent on its enzymatic activity. Mechanistically, ACSS2-induced acetyl-CoA accumulation activated voltage-dependent anion channels 1 transcription through increased H3K27ac occupancy, which subsequently promoted mitophagy and HBV-related HCC tumorigenesis. Notably, targeting ACSS2 by depletion or inhibition with a catalytic inhibitor significantly suppressed tumor growth. Conclusions These findings not only illustrate the interplay between metabolic reprogramming, epigenetic modification, and tumorigenesis in the context of HBV infection, but also highlight ACSS2 as a novel metabolic vulnerability in HBV-related HCC. Therefore, targeting ACSS2 could be a novel strategy against HBV-related HCC.

Objective:To construct a fuzzy comprehensive evaluation model for life support equipment of hospital,so as to improve quality of management for equipment.Methods:Based on the operating status of life support equipment in Jiangmen Maternal and Child Health Care Hospital of Guangdong Province,a fuzzy comprehensive evaluation model was constructed,and the indicators of different levels were set.The index weights were calculated according to the Analytic Hierarchy Process(AHP),and the equipment management strategy was formulated based on the evaluated results.A total of 98 life support equipment in clinical use in our hospital from January 2023 to July 2024 were selected.In them,49 equipment were managed under the conventional management mode,and the other 49 equipment were managed under the assessment system management mode of the kind of life support equipment based on fuzzy comprehensive evaluation model(model management mode)according to the random number table method.The timeliness,management effect and management efficiency of the two management modes for equipment were compared.A self-made satisfaction questionnaire was used to investigate the satisfaction scores of equipment engineers,clinicians and managers of relevant departments in usage management for equipment in the equipment usage of the two management modes.Results:The timeliness of equipment early warning,the timeliness of maintenance personnel's arrival,and the timeliness of proposing maintenance opinions were respectively(0.78±0.14)min,(5.14±2.11)min,and(10.69±3.11)min in the model management mode,all which were shorter than those in the conventional management mode,and the differences were statistically significant(t=16.697,11.857,16.117,P<0.05).The regular maintenance rate of equipment adopting the model management mode was higher than that adopting the conventional management mode,and the failure rate was lower than that adopting the conventional management mode,and the differences were statistically significant(x2=12.274,12.261,P<0.05),respectively.The maintenance time of the model management mode was shorter than that of the conventional management mode,and the operation and maintenance cost of the model management mode was lower than that of the conventional management mode,and the differences were statistically significant(t=17.451,12.707,P<0.05).The scores of management efficiencies of resource allocation,technical support,environmental guarantee and information infrastructure of the model management mode were all higher than those of the conventional management mode,and the differences were statistically significant(t=12.268,14.908,16.128,13.920,P<0.05).In usage management for equipment,the satisfaction scores of equipment engineers,clinicians and managers of relevant departments for equipment management adopting the model management mode were higher than those adopting the conventional management mode,and the differences were statistically significant(t=13.118,16.209,12.557,P<0.05).Conclusion:The assessment system of hospital for life support equipment based on the fuzzy comprehensive evaluation model can enhance the quality of management and operation for equipment,and improve the service level of equipment,and increase the operational efficiency of equipment.

Objective To analyze the clinical trial projects of TCM treatment for psoriasis registered at the China Clinical Trial Registry(ChiCTR);To provide references for clinical research in this field.Methods Clinical trial studies on the TCM treatment for psoriasis were retrieved from the ChiCTR database from the establishment of the database to June 17,2024.Excel 2019 and GraphPad Prism 9.0 were used to organize and analyze the general characteristics included in registered clinical trials.Results Totally 65 TCM-related trials were included,of which 58(89.23%)were prospectively registered,and 55(84.62%)had undergone ethical review.The majority of trials were registered in Guangdong,Beijing and Shanghai,collectively accounting for 78.46%(n=51)of the total.The leading institution,Guangdong Provincial Hospital of Chinese Medicine,contributed 19 trials.Funding was predominantly sourced from governmental bodies,with 72.31%(n=47)supported by national or regional grants.Among the registered studies,interventional trials predominated(n=56),including 46 randomised parallel-controlled designs.Blinding was implemented in 23 trials,and biospecimen collection was reported in 48 studies.40 trials were single-centre studies,and a cumulative sample size was 17 695 participants.Common interventions included oral administration of classical TCM formulations or hospital-prepared remedies,alongside topical applications such as medicated baths and ointments.The primary outcome measure in most trials was the Psoriasis Area and Severity Index.Conclusion While the number of registered clinical trials on TCM for psoriasis in China demonstrates a fluctuating yet upward trend,the overall volume remains modest.Disparities in regional distribution,methodological variability,and incomplete trial registration details highlight areas for improvement.

Objective:To analyze the influencing factors of pregnancy outcome of test-tube baby assisted pregnancy base on clinical data,and build a prediction model.Methods:The clinical data of 283 infertility patients were retrospectively analyzed.They were divided into successful pregnancy group(147 cases)and failed pregnancy group(136 cases)according to the pregnancy outcome.The influencing factors of pregnancy were analyzed by multivariate Logistic regression analysis.The predictive value of influencing factors was evaluated by drawn receiver operating characteristic(ROC)curve.Prediction model was constructed and verified based on the results of multivariate Logistic regression analysis.Results:283 cases of infertility patients received test-tube baby assisted pregnancy treatment,147 cases were successfully pregnant,and the pregnancy success rate was 51.94％(147/283).The proportion of the duration of infertility＞3 years,the proportion of endometrial morphology on HCG injection day was B or C,the proportion of endometrial thickness＜7 mm,and the proportion of embryo quality not good in failed pregnancy group were higher than those in successful pregnancy group(P＜0.05).Endometrial thickness＜7 mm,endometrial morphology on HCG injection day was B or C,the duration of infertility＞3 years,embryo quality not good were the risk factors for the failure of test-tube baby assisted pregnancy(P＜0.05).The results of ROC curve analysis showed that,the area under the curve(AUC)of endometrial morphology on HCG injection day,the duration of infertility,endometrial thickness and embryo quality to predict the failure of test-tube baby assisted pregnancy were 0.577,0.617,0.581 and 0.603 respectively.Multivariate Logistic regression model was constructed based on the influencing factors of failure of test-tube baby assisted pregnancy,the AUC of this model for predicting failure of test-tube baby assisted pregnancy was 0.845,and its predictive efficacy was higher than that of each influencing factor alone(Z=6.832,5.905,6.832,6.258,all P＜0.05).Conclusion:Endometrial thicknes＜7 mm,endometrial morphology on HCG injection day was B or C,the duration of infertility＞3 years,embryo quality not good are risk factors for the failure of test-tube baby assisted pregnancy,the prediction model base on the above risk factors has a high predictive value for the pregnancy outcome of test-tube baby assisted pregnancy.

Objective:To observe the clinical efficacy of repetitive transcranial magnetic stimulation(rTMS)combined with mindfulness-based cognitive therapy(MBCT)in patients with alcohol withdrawal syndrome(AWS).Methods:The 120 patients with AWS who were observed in this study were all male patients admitted to our hospital from June 2021 to June 2024,the patients were divided into group A(conventional treatment,40 cases),group B(group A combined with rTMS,40 cases),and group C(group B combined with MBCT,40 cases)according to random number table method.The clinical efficacy,self-control ability[Modified Clinical Institution Alcohol Dependence Withdrawal Assessment Scale(CIWA-Ar)score,Visual Analog Scale of Psychological Craving for Alcohol(VAS)score and Pennsylvania Alcohol Craving Scale(PACS)score],anxiety and depression degree assessment[Hamilton Depression Scale(HAMD)score,Hamilton Anxiety Scale(HAMA)score]and quality of life[36 Short Form Health Survey(SF-36)Score],relapse rate and readmission rate were compared among the three groups.Results:The total effective rate of group A,group B and group C increased successively(P＜0.05).The CIWA-Ar,PACS and VAS scores in group B and group C after treatment were lower than those in group A,and group C was lower than that in group B(P＜0.05).The HAMD and HAMA scores of group B and group C after treatment were lower than those in group A,and group C was lower than that in group B(P＜0.05).The SF-36 score of group B and group C after treatment was higher than those in group A,and group C was higher than that in group B(P＜0.05).Relapse rate and readmission rate in groups B and C were lower than those in group A,and group C was lower than that in group B(P＜0.05).Conclusion:The application of rTMS combined with MBCT in patients with AWS can improve clinical efficacy and quality of life,alleviate anxiety and depression,improve patients' self-control ability,reduce relapse rate and readmission rate,with definite effects.

Objective:To explore the effect of inflammatory cell levels on the anticoagulant efficacy in patients with liver cirrhosis complicated with portal vein thrombosis (PVT).Methods:A total of 106 patients with liver cirrhosis complicated with PVT who visited the Zhongshan Hospital, Fudan University from 2017 to 2022 were prospectively included. The PVT grade and recanalization were evaluated by imaging. Cox regression was used to analyze the predictive factors of anticoagulation efficacy. The time-dependent receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value of inflammatory cells for predicting anticoagulation efficacy. The Kaplan-Meier method was used to compare the 1-year PVT recanalization rate of patients with different levels of inflammatory cells.Results:Univariate analysis showed that Child-Pugh score ( HR=1.41), D-dimer ( HR=0.98), platelet ( HR=0.98), C-reactive protein to lymphocyte ratio ( HR=1.01), monocyte ( HR=0.21), lymphocyte ( HR=0.34), and prothrombin time( HR=1.32) was related to the improvement of PVT (all P<0.05). Multivariate analysis confirmed that lymphocytes ( HR: 0.41, 95% CI: 0.20-0.85, P=0.016) and prothrombin time ( HR: 1.23, 95% CI: 1.01-1.50, P=0.036) were independent predictors of anticoagulant efficacy. Grouped according to the ROC cutoff value, the 1-year recanalization rate of PVT in the high-level lymphocyte group (4.55% vs 32.84%, P=0.012) and the high-level monocyte group (5.56% vs 31.4%, P=0.028) was significantly lower than that in the low-level group. After excluding patients undergoing splenectomy, the recurrence rate in the high-level lymphocyte group was still lower than that in the low-level group (6.25% vs 33.77%, P=0.038). Conclusions:Among patients with liver cirrhosis accompanied by PVT, high levels of lymphocytes and monocytes are the key factors for the poor efficacy of anticoagulation therapy. For PVT patients with poor anticoagulation efficacy, the therapeutic strategy of anti-inflammatory combined with anticoagulation can be considered for exploration in the future.