Minimally conscious state （MCS） is at the edge between closed and open consciousness， but it still belongs to the category of "wind-strike block" syndrome. The basic pathogenesis of MCS is the obstruction of pathogenic qi， orifices closed and spirit hidden， with pathological factors including phlegm， fire， and blood stasis. Wind movement and water retention may also be present， and often leading to deficiency syndrome due to the exhaustion of qi， blood， yin， and yang at later stages. Treatment chooses Shexiang （Moschus） as the chief medicinal， emphasizing combination of medicinals and urgency of medication administration； the key therapeutic method is to open the orifices， with focuses on expelling pathogens and reinforcing healthy qi. For patients with severe phlegm or fire， use Xiaochengqi Decoction （小承气汤） to open the lower orifices， discharge heat and unblock the bowels， combined with Shexiang （Moschus） and Niuhuang （Bovis Calculus） to open the upper orifices， awaken the spirit and guide qi. For patients with turbid phlegm as the predominant， temporarily replace Shexiang （Moschus） with Baizhi （Angelicae dahuricae radix）， using Ditan Decoction （涤痰汤） to eliminate phlegm to open the orifices， when turbid phlegm gradually subsided， Shexiang （Moschus） could be added. For patients with blood stasis as the predominant， Tongqiao Huoxue Decoction （通窍活血汤） will be used to activate blood and open orifice， if the blood circulates， the endogenous wind will be calmed， the water will be induced， the orifices will open and the consciousness will restore. For patients with closed orifices and body deficiency， the treatment should open the orifices and reinforce healthy qi， and consider the root and branch simultaneously； qi deficiency syndrome can be addressed with Buyang Huanwu Decoction （补阳还五汤） to boost qi and reinforce healthy qi； yin deficiency syndrome can be treated with Shaoyao Gancao Decoction （芍药甘草汤） combined with Fengsui Pill （封髓丹） to nourish yin， soften sinews， and secure kidney essence； yang deficiency can be managed by using Dihuang Yinzi Decoction （地黄饮子） to enrich yin， supplement yang， and open the orifices.

Objective To evaluate the anticoagulation efficacy of non-vitamin K antagonist oral anticoagulants (NOACs) and vitamin K antagonists (VKAs) in patients with high-risk atrial fibrillation (AF) undergoing transcatheter aortic valve implantation (TAVI). Methods A computer-based search was conducted on PubMed, EMbase, The Cochrane Library, CNKI, SinoMed, and VIP databases to identify studies on the application of NOACs and VKAs in high-risk AF patients after TAVI. The search period was from database inception to January 2023. The quality of the included studies was assessed using the Cochrane risk assessment tool and the Newcastle-Ottawa Scale (NOS). Meta-analysis was performed using RevMan 5.4 software. Results A total of 7 studies involving 24 592 patients were included. The meta-analysis results showed that compared to patients using VKAs, those treated with NOACs had a significantly lower risk of all-cause mortality [RR=0.74, 95%CI (0.58, 0.94), P=0.01]. Subgroup analysis indicated that when the follow-up period was less than 1 year, there was no significant difference in all-cause mortality between the NOAC and VKA groups [RR=0.57, 95%CI (0.17, 1.88), P=0.35]; however, when the follow-up period was ≥1 year, the VKA group had a higher all-cause mortality rate than the NOAC group, with a statistically significant difference [RR=0.73, 95%CI (0.57, 0.95), P=0.02]. No significant differences were found between the two groups regarding early stroke [RR=0.50, 95%CI (0.19, 1.28), P=0.15], stroke during follow-up [RR=1.04, 95%CI (0.88, 1.22), P=0.64], bleeding [RR=0.94, 95%CI (0.73, 1.21), P=0.61], major or life-threatening bleeding [RR=0.80, 95%CI (0.49, 1.31), P=0.38], or acute kidney injury [RR=0.51, 95%CI (0.16, 1.59), P=0.24]. Conclusion Compared to VKAs, the use of NOACs in patients with high-risk AF undergoing TAVI may reduce the risk of all-cause mortality, especially during long-term anticoagulation therapy, potentially offering greater benefits. However, further evidence from randomized controlled trials is needed to confirm these findings.

Mesenchymal stem cells (MSCs) have been widely used in the treatment of various autoimmune and inflammation-related diseases due to their potent immunomodulatory properties. Several studies have demonstrated that MSC-mediated immunomodulation is complex and bidirectional, with the in vivo microenvironment influencing the direction of this modulation. Indoleamine-2,3-dioxygenase (IDO), an immunosuppressive factor, has been identified as a key "switch" in the immunomodulatory role of MSCs. In this review, we explore how IDO functions as a critical regulator of MSC immunoregulatory plasticity. We delve into the mechanisms by which changes in IDO expression affect the function of various immune cells, summarize relevant research and clinical advances regarding the role of IDO expression in MSC-based therapies for various diseases, and discuss potential therapeutic strategies that target IDO to enhance the stability of MSC therapeutic effects. This provides a theoretical foundation for optimizing MSCs as safer and more effective clinical therapeutic agents.

OBJECTIVE: Cassiae Semen (CS, Juemingzi in Chinese) is a widely used traditional Chinese medicine with a variety of pharmacological effects. This study aimed to investigate the potential therapeutic effects and molecular mechanisms of anthraquinones of CS (AQS) for adiposity. METHODS: The chemical components of the AQS were determined using high-performance liquid chromatography (HPLC). Network pharmacology analysis was used to predict potential anti-obesity targets of action for AQS. We constructed high fat with high sugar water diet-induced obese mice and observed their body weight and whole-body lipid metabolism to evaluate the efficacy of AQS in promoting lipid metabolism. Subsequently, the epidermal temperature at the brown adipose tissue (BAT) before and after cold stimulation was observed and the expression of lipid metabolism-related genes in the liver and BAT tissues was detected to clarify the mechanism of action of AQS. RESULTS: Network pharmacology analysis showed that AQS was involved in the regulation of liver and adipose tissue function under obesity. Pathological and biochemical results showed that AQS reduced lipid accumulation in the liver and adipose tissue induced by an unhealthy diet. With the increase of cold tolerance, the volume and weight of BAT were increased by AQS, suggesting that it regulated the body heat production dominated by BAT. After AQS treatment, the levels of genes related to uncoupling protein1 (UCP1)-mediated adaptive thermogenesis in BAT tissues and lipid metabolism in the liver were also increased, which further proved that AQS activated BAT function to promote lipid metabolism in the whole body. CONCLUSION This study revealed the pharmacological effects of AQS, thereby providing a scientific basis for regulating BAT thermogenesis and liver lipid metabolism to alleviate obesity and providing clues for further exploring the application of natural active ingredients in the treatment of metabolism-related diseases.

Depressed mood and sleep problems are prevalent among elderly people and tend to form a vicious cycle that seriously affects their quality of life and physical health. However， most of the existing studies rely on cross-sectional design， limiting the ability to clarify their predictive relationship and causal direction. ObjectiveTo explore the longitudinal association between nighttime sleep duration and depressed mood among the elderly in China over a 10-year period， providing scientific evidence for developing sleep-related interventions and depression prevention strategies tailored to the elderly. MethodsBased on nationally representative data from the China Health and Retirement Longitudinal Study （CHARLS） between 2011 and 2020， a sample of 5 954 elderly peolpe who had completed the baseline survey and at least one follow-up survey in 2011 was selected. Depressed mood was assessed using the 10-item Centre for Epidemiological Studies Depression Scale （CESD-10）. Basic information including nighttime sleep duration， was collected through a self-designed questionnaire. Cross-lagged path analysis （CLPA） model was employed to analyze the bidirectional relationship between nighttime sleep duration and depressed mood among the ederly. ResultsThe nighttime sleep duration in elderly people showed a negative correlation with CESD-10 scores at both baseline and the last follow-up （r=-0.299， -0.247， P<0.01）. The results of the CLPA model showed that the baseline CESD-10 scores negatively predicted nighttime sleep duration at the last follow-up （β=-0.100， P<0.01）， while baseline nighttime sleep duration also predicted CESD-10 scores at the last follow-up （β=-0.041， P<0.01）. ConclusionDepressed mood in elderly people exhibits a longitudinal association with nighttime sleep duration， demonstrating a bidirectional negative predictive relationship between the two factors.

Surgical robot is the national strategic diagnostic and therapeutic equipment research focus,get a number of scientific research institutes,colleges and universities and enterprises pay extensive attention to the design and development of a variety of surgical robots,and registration declaration.This article explores the critical technologies of surgical robots and key areas for optimizing their performance,including kinematic positioning errors,pose errors,feedback model errors,image recognition positioning errors,path planning,and safety aspects.The findings not only provide a scientific basis for future standardization research on surgical robots but also offer significant theoretical and practical references for the research,manufacturing,and registration processes in the medical robotics industry.

The paper summarizes the imaging evaluation methods for assessing the degree of carotid artery stenosis and analyzes the unique advantages and limitations of various imaging techniques in vascular imaging based on existing guidelines and consensus.The paper focuses on reviewing the clinical applications of several novel ultrasound technologies,including the use of advanced hemodynamic parameters such as blood flow dispersion(Tur index)and wall shear stress(WSS).Carotid artery stenosis is closely associated with cardiovascular disease.Although non-invasive and radiation-free ultrasound technology has certain limitations in diagnostic accuracy to a certain extent,with the continuous emergence of advanced functions such as ultrasound hemodynamics and vascular elasticity,the combination of multi-modality and multi-parameter ultrasound is expected to become an important method for efficient diagnosis of arterial stenosis in the future.

Objective:To explore the prevalence, clinical features, genetic characteristics and prognosis of Citrin deficiency in Henan province of China.Methods:A total of 986 565 neonates screened by tandem mass spectrometry at the Third Affiliated Hospital of Zhengzhou University from January 2013 to December 2021 were retrospectively analyzed. Analysis of SLC25A13 gene variants and parental verification were carried out for neonates suspected for Citrin deficiency by next-generation sequencing. The clinical, biochemical and genetic characteristics of Citrin deficiency patients were integrated to guide the diet treatment and follow up the growth and development. Paired- t test was used to compare the amino acid levels in the peripheral blood samples before and after the treatment. Results:Nine cases of Citrin deficiency were diagnosed among the 986 565 neonates. Specific elevation of citrulline was observed in all of the 9 cases. Six variants were detected by genetic sequencing, among which c. 852_855delTATG, c. 615+ 5G>A, c. 550C>T and IVS16ins3kb were known pathogenic variants, whilst c. 1111_1112delAT and c. 837T>A were unreported previously. The detection rate for c. 852_855delTATG was the highest (61.6%, 11/18), followed by IVS16ins3kb (16.7%, 3/18). The clinical symptoms of all patients were relieved after the treatment, and the blood amino acid profile and biochemical parameters were significantly improved by gradually falling within the normal range. By June 2022, all patients had shown a good prognosis.Conclusion:The prevalence of Citrin deficiency among neonates from Henan Province by tandem mass spectrometry is 1/109 618, and the carrier rate for the pathogenic variants of the SLC25A13 gene was 1/166. The c. 852_855delTATG may be a hot spot variant among the patients. Discovery of the novel variants has enriched the mutational spectrum of the SLC25A13 gene. Above results have provided a basis for the early diagnosis, treatment, prognosis and genetic counseling for the affected families.

Objective:To construct and validate a machine learning model for preoperative prediction of perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC).Methods:Clincial data of 329 patients, including 245 admitted to Zhengzhou University People's Hospital from January 2018 to June 2023 and 84 admitted to the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to January 2020 were retrospectively analyzed. Patients were divided into a training set ( n=231) and a validation set ( n=98). Clinicopathological data including age, gender, hepatitis B virus (HBV) infection status were collected. Predictive variables were determined using least absolute shrinkage and selection operator (LASSO) regression analysis. Six machine learning algorithms including random forest (RF), logistic regression, and linear kernel-based support vector machine were selected to construct the preoperative prediction model for PNI in ICC. Performance metrics of the model were calculated using a confusion matrix, and the final model was selected. The model performance was evaluated in the validation set. Calibration curves were plotted to evaluate the final model, and a Pareto chart was used to visualize the importance of predictive variables. Results:LASSO regression identified nine predictive variables included in the prediction model, including carbohydrate antigen 19-9 (CA19-9), HBV infection status, alkaline phosphatase, alanine aminotransferase, prothrombin time, total bilirubin, albumin, neutrophil times gamma-glutamyl transferase to lymphocyte ratio, and tumor burden score. Among the trained six models, the area under the curve (AUC) of the RF model was 0.909, with a sensitivity of 0.842 and an accuracy of 0.870. Compared with the AUC of the RF model, the AUCs of the other 5 models were lower (all P<0.05). The AUC of the RF model for predicting PNI in ICC in validation set was 0.736. Calibration curves showed good fit of the RF model's prediction of PNI in ICC in both training and validation sets. The Pareto chart showed that CA19-9 was the most important predictive variable in the model, followed by HBV infection status. Conclusion:The machine learning model based on the RF algorithm has a high accuracy in preoperative prediction of PNI status in ICC.

Objective:To investigate the influencing factors for microvascular invasion (MVI) in hepatocellular carcinoma based on three-dimensional visualization and the construction of its nomogram model.Methods:The retrospective cohort study method was conducted. The clinico-pathological data of 190 patients with hepatocellular carcinoma who were admitted to Henan University People′s Hospital from May 2018 to May 2021 were collected. There were 148 males and 42 females, aged (58±12)years. The 190 patients were randomly divided into the training set of 133 cases and the validation set of 57 cases by the method of random number table in the ratio of 7:3. The abdominal three-dimensional visualization system was used to characterize the tumor morphology and other imaging features. Observation indicators: (1) analysis of influencing factors for MVI in hepatocellular carcinoma; (2) construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. Measurement data with normal distribution were expressed as Mean± SD, and independent sample t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q3), and non-parametric rank sum test was used for comparison between groups. Count data were expressed as absolute numbers, and the chi-square test was used for comparison between groups. Corresponding statistical methods were used for univariate analysis. Binary Logistic regression model was used for multivariate analysis. Receiver operator characteristic (ROC) curves were plotted, and the nomogram model was assessed by area under the curve (AUC), calibration curve, and decision curve. Results:(1) Analysis of influencing factors for MVI in hepatocellular carcinoma. Among 190 patients with hepatocellular carcinoma, there were 97 cases of positive MVI (including 63 cases in the training set and 34 cases in the validation set) and 93 cases of negative MVI (including 70 cases in the training set and 23 cases in the validation set). Results of multivariate analysis showed that alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology were independent factors affecting the MVI of patients with hepatocellular carcinoma ( odds ratio=5.06, 3.62, 1.00, 2.02, 2.59, 95% confidence interval as 1.61-15.90, 1.28-10.20, 1.00-1.01, 1.02-3.98, 1.03-6.52, P<0.05). (2) Construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. The results of multivariate analysis were incorporated to construct a nomogram prediction model for MVI of hepatocellular carcinoma. ROC curves showed that the AUC of the training set of nomogram model was 0.85 (95% confidence interval as 0.79-0.92), the optimal fractional cutoff based on the Jordon′s index was 0.51, the sensitivity was 0.71, and the specificity was 0.84. The above indicators of validation set were 0.92 (95% confidence interval as 0.85-0.99), 0.50, 0.90, and 0.82, respectively. The higher total score of the training set suggested a higher risk of MVI in hepatocellular carcinoma. The calibration curves of both training and validation sets of nomogram model fitted well with the standard curves and have a high degree of calibration. The decision curve showed a high net gain of nomogram model. Conclusions:Alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology are independent influencing factors for MVI in patients with hepatocellular carcinoma. A nomogram model constructed based on three-dimensional visualized imaging features can predict MVI in hepatocellular carcinoma.