ObjectiveBased on functional near-infrared spectroscopy (fNIRS), we investigated the brain activity characteristics of gross motor tasks in children with autism spectrum disorder (ASD) and motor dysfunctions (MDs) to provide a theoretical basis for further understanding the mechanism of MDs in children with ASD and designing targeted intervention programs from a central perspective. MethodsAccording to the inclusion and exclusion criteria, 48 children with ASD accompanied by MDs were recruited into the ASD group and 40 children with typically developing (TD) into the TD group. The fNIRS device was used to collect the information of blood oxygen changes in the cortical motor-related brain regions during single-handed bag throwing and tiptoe walking, and the differences in brain activation and functional connectivity between the two groups of children were analyzed from the perspective of brain activation and functional connectivity. ResultsCompared to the TD group, in the object manipulative motor task (one-handed bag throwing), the ASD group showed significantly reduced activation in both left sensorimotor cortex (SMC) and right secondary visual cortex (V2) (P<0.05), whereas the right pre-motor and supplementary motor cortex (PMC&SMA) had significantly higher activation (P<0.01) and showed bilateral brain region activity; in terms of brain functional integration, there was a significant decrease in the strength of brain functional connectivity (P<0.05) and was mainly associated with dorsolateral prefrontal cortex (DLPFC) and V2. In the body stability motor task (tiptoe walking), the ASD group had significantly higher activation in motor-related brain regions such as the DLPFC, SMC, and PMC&SMA (P<0.05) and showed bilateral brain region activity; in terms of brain functional integration, the ASD group had lower strength of brain functional connectivity (P<0.05) and was mainly associated with PMC&SMA and V2. ConclusionChildren with ASD exhibit abnormal brain functional activity characteristics specific to different gross motor tasks in object manipulative and body stability, reflecting insufficient or excessive compensatory activation of local brain regions and impaired cross-regions integration, which may be a potential reason for the poorer gross motor performance of children with ASD, and meanwhile provides data support for further unraveling the mechanisms underlying the occurrence of MDs in the context of ASD and designing targeted intervention programs from a central perspective.

Due to the high similarity with the lipid layer between human skin keratinocytes, functional cosmetics with layered liquid crystal structure prepared by liquid crystal emulsification technology encapsulating natural active substances have become a hot research topic in recent years. This type of functional cosmetic often has a fresh and natural skin feel, excellent skin barrier repair function and efficient moisturizing effect, etc., showing great potential in cosmetic application. However, the present research on the application of liquid crystal emulsification technology to functional cosmetics is still in the initial stage, and there are fewer relevant reports with reference values. Based on the mentioned above, this review provides a comprehensive summary of functional cosmetics with layered liquid crystal structures prepared by liquid crystal emulsification technology from the following aspects: the structure of human skin, the composition of lamellar liquid crystal, the advantages of liquid crystal emulsification technology containing natural active substances used in the field of functional cosmetics, the preparation process, main components, influencing factors during the preparation and the market functional cosmetics with lamellar liquid crystal structure. Finally, the prospect of the application of liquid crystal emulsification technology in functional cosmetics is presented, to provide useful references for those engaged in the research of liquid crystal emulsification technology-related functional cosmetics.

Superior vena cava syndrome(SVCS)is a group of clinical syndromes caused by obstruction of the superior vena cava and its major branches from various causes.Pulmonary artery stenosis(PS)is a complication of lung cancer or mediastinal tumours.SVCS combined with PS due to pulmonary metastases from bladder cancer is extremely rare and has not been reported in the literature.Here we reported an old male patient with pulmonary metastases from bladder cancer presenting with swelling of the head,neck and both upper limbs.SVCS combined with PS was clarified by pulmonary artery computed tomography angiography(CTA)and digital subtraction angiography(DSA).Endovascular stenting was used to treat SVCS.Angiography also showed that PS had not caused pulmonary hypertension and did not need to be treated.The swelling of the patient's head,neck and upper limbs was gradually reduced after the procedure.

Objective:To investigate the value of a novel technique called visual transient elastography (ViTE) and liver steatosis analysis (LiSA) in assessing liver function injury in hepatitis B virus-related hepatocellular carcinoma (HBV-related HCC) patients after ablation therapy.Methods:A total of 129 HBV-related HCC patients in Harbin Medical University Cancer Hospital from January 2022 to August 2023 were retrospectively analyzed.ViTE and LiSA examinations were applied to record the liver stiffness E value and LiSA value before ablation. An albumin-bilirubin (ALBI) score was constructed using laboratory indicators. Spearman correlation analysis was used to assess the correlation between E value, LiSA value and ALBI score, body mass index (BMI). According to the change of ALBI grade in perioperative period, the patients could be divided into two groups: liver function unchanged group and liver function injury group. Univariate and multivariate statistical methods were used to analyze related factors affecting changes in liver function after ablation, followed by establishing a predictive model.Results:Spearman analysis showed a strong positive correlation between E value and ALBI score ( rs=0.686, P<0.001), and LiSA value was weakly positively correlated with BMI ( rs=0.338, P<0.001). There were no significant correlations between E value and BMI, LiSA value and ALBI score (all P>0.05). Univariate analysis showed that differences of age, BMI, ablation parameters, E value, and LiSA value in the two groups were statistically significant (all P<0.05). Multivariate analysis showed that E value, LiSA value, and ablation time were independent predictors of hepatic dysfunction after ablation (all P<0.05). AUC was 0.892 indicating high accuracy in the predictive model based on above indicators. Conclusions:Under the real-time ultrasound guidance, a non-invasive liver function injury prediction model based on ViTE and LiSA technology can offer personalized predictions for ablative perioperative changes in liver function among HBV-related HCC patients.

Gastroesophageal reflux disease （GERD） is a prevalent chronic digestive disorder， affecting about 20% of the population. In addition to the typical symptoms of acid regurgitation and pyrosis， GERD can lead to chronic esophageal mucosal inflammation， thereby increasing the risk of esophageal carcinoma. Proton pump inhibitors （PPIs） have emerged as the primary pharmacological intervention due to their efficacy in reducing gastric acid production. However， the long-term use of PPIs is associated with various complications， including malabsorption of nutrients， heightened susceptibility to enteric infections， and an elevated risk of fractures. These concerns have driven the pursuit of safer and more efficacious therapeutic alternatives by both patients and healthcare providers. Recent studies have highlighted the role of persistent inflammation triggered by irritation of the esophageal epithelial cells in the pathogenesis of GERD. Such inflammation not only exacerbates mucosal damage but also contributes to the chronicity and complexity of the disease. Consequently， the development of novel anti-inflammatory therapeutic strategies has become a focus in contemporary research. Chinese herbal medicine prescriptions， with distinctive anti-inflammatory and antioxidant properties， offer a promising avenue for the management of GERD. These prescriptions， composed of a variety of herbal medicines， are prescribed in accordance with the traditional Chinese medicine （TCM） principle of harmonizing Qi， blood， and Yin-Yang， thereby addressing the underlying disease processes. Among the numerous Chinese herbal medicine prescriptions for GERD， ingredients such as Coptidis Rhizoma， Bupleuri Radix， Euodiae Fructus， Glycyrrhizae Radix et Rhizoma， and Atractylodis Macrocephalae Rhizoma are commonly utilized for their effects of inhibiting inflammation， modulating immune functions， and alleviating oxidative stress. Despite the potential in treating GERD， concrete evidence-based medical proof of these prescriptions remains limited. This review summarizes the anti-inflammatory mechanisms and prospects of Chinese herbal medicines in treating GERD， providing an outlook on the value of these medicines in the anti-inflammatory management of GERD.

Objective:To analyze the efficacy and feasibility of performing a new surgical procedure, tunnel esophagogastrostomy, to perform proximal gastrectomy.Methods:The study cohort comprised 10 consecutive patients who had undergone esophagogastrostomy by the tunnel technique in Jiangsu Cancer Hospital between October 2019 and July 2022. All patients were male. Their average age was (64.2±8.1) years and body mass index (25.5±3.2) kg/m2. Nine had upper gastric body adenocarcinoma, the remaining one having signet ring cell carcinoma. TNM staging of the tumors showed that seven were Stage IA, one Stage IB, one Stage IIA, and one Stage IIIA. Briefly, tunnel esophagogastrostomy is performed as follows: After performing a proximal gastrectomy, a rectangular seromuscular flap (3.0 cm × 3.5 cm) is created. The posterior esophageal wall is sutured to the gastric wall at the orad end of the seromuscular flap 5 cm from the stump with three to four stitches. Next, the stump of the esophagus is opened, the posterior esophageal wall is sutured to the gastric mucosa and submucosa, and the anterior esophageal wall is sutured to the full layer of the stomach. Finally, the caudad end of the seromuscular flap is closed. Data on surgical safety, postoperative morbidity, and postoperative reflux esophagitis were analyzed. All enrolled patients completed endoscopic follow-up 1 year and 2 years after surgery.Results:All procedures were completed. They comprised four cases of laparoscopic assisted surgery, four of DaVinci robotic surgery, and two of open surgery. The mean operation time was 212.7±33.2 mins, mean anastomosis time (51.6±5.3) minutes, mean tunnel preparation time (20.0±3.5) minutes, and mean operative blood loss (90.0±51.6) mL. The time to first postoperative passage of flatus was (64.8±11.5) hours. The mean hospital stay after surgery was (9.2±1.7) days. There were no postoperative complications above Clavien-Dindo Grade II. The mean preoperative Reflux Disease Questionnaire score was (3.3± 0.4) before the surgery, (3.8±1.0) 1 month postoperatively, and (3.3±0.4) 12 months postoperatively. All patients underwent endoscopic follow-up; no anastomotic stenoses were found. However, one patient had Grade A reflux esophagitis 1 year after surgery and another Grade B reflux esophagitis 2 years after surgery.Conclusion:Esophagogastrostomy by the tunnel technique is a safe and feasible means of performing proximal gastrectomy.

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 the protective effects and potential mechanisms of Hirudo on mice with non-alcoholic fatty liver disease （NAFLD） in mice. METHODS The male ApoE－/－ mice were randomly divided into the model group and Hirudo low- dose and high-dose groups （0.45， 0.9 g/kg）， with 10 mice in each group； another 10 wild-type male C57BL/6J mice were chosen as the control group. The control group was fed with basal maintenance chow and the remaining groups were fed with high-fat chow for 12 weeks to establish the NAFLD model. Each administration group was given corresponding solution intragastrically， once a day， for 8 consecutive weeks. In the 13th week， the body weight and liver weight of mice in each group were measured after the last medication， and the liver index was calculated； the serum levels of nuclear factor-κB （NF-κB）， tumor necrosis factor-α （TNF- α）， interleukin-1β （IL-1β）， IL-6， total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C） and high-density lipoprotein cholesterol （HDL-C） were detected； the liver pathomorphological changes were observed； the protein expressions of peroxisome proliferator-activated receptor γ（PPARγ） and silence information regulator type 1 （SIRT1） were detected. RESULTS Compared with the control group， the liver tissue of mice in the model group showed more fat vacuoles and infiltration of inflammatory cells， with significant lipid accumulation； the body weight， liver weight and liver index of the mice， and serum levels of NF-κB， TNF-α， IL-1β， IL-6， TC， TG and LDL-C significantly increased， while the serum level of HDL-C， the protein expressions of PPARγ and SIRT1 in liver tissues significantly decreased （P＜0.01）. Compared with the model group， the pathological changes in liver tissue of mice were all relieved in Hirudo low-dose and high-dose groups； the body weight， liver weight and liver index， the serum levels of NF-κB， TNF-α， IL-1β， IL-6， TC， TG and LDL-C decreased significantly， while the serum level of HDL-C， the protein expressions of PPARγ and SIRT1 in liver tissue all increased significantly （P＜0.05 or P＜0.01）. CONCLUSIONS Hirudo can regulate liver lipid metabolism and inhibit inflammation by activating the protein expressions of PPARγ and SIRT1， thus having a significant ameliorative effect on NAFLD.

Objective To investigate the benefits of using a stapler tractor in the treatment of segmental bronchus during lung segmentectomy through detailed video replay analysis of surgical procedures. Methods We collected data from patients who underwent segmentectomy performed by the same surgical team in the Department of Thoracic Surgery, the First Affiliated Hospital of Nanjing Medical University, from November 2020 to August 2023. After excluding data that lacked analysis parameters, the remaining patients were divided into four groups based on the methods used for dissociating segmental bronchus: a stapler tractor group (group A), a stapler with bronchial stretching group (group B), a stapler only group (group C), and a silk ligature group (group D). Then, we compared baseline data and videotaped surgical details across all groups. Surgical details included the success rate of one-time segmental bronchus dissociation and severance, the time taken for successful one-time dissociation and severance of the segmental bronchus, the incidence of bleeding during bronchus dissociation, the conversion rate to thoracotomy during surgery, and surgical outcomes such as total operative time, postoperative hospitalization days, postoperative thoracic drainage volume, and pulmonary air leakage rate. Results The study included 325 patients (203 in the group A, 62 in the group B, 29 in the group C, and 31 in the group D). There was no statistically significant difference in baseline data among the four groups. However, significant differences were found in terms of total operation time, postoperative hospitalization days, intraoperative blood loss, segmental bronchial stump length, postoperative air leakage rate, hemorrhage rate during segmental bronchial dissociation, and conversion to thoracotomy rate among the four groups (P<0.05). Conclusion Using a stapler tractor for dissociating segmental bronchus in lung segmentectomy results in shorter operative time, less risk of intraoperative bleeding, and less surgical complications. This study provides valuable evaluation methodologies through the analysis of video replay surgical details, contributing to the improvement of lung segmentectomy quality.