OBJECTIVE: To observe the clinical efficacy of Qihuang needle therapy for autism spectrum disorder (ASD) children with sleep disorder. METHODS: A total of 60 ASD children with sleep disorder were randomly divided into an observation group and a control group, 30 cases in each group. Both groups were treated with structured education intervention, 60 min each time, once a day, 6 times a week. Qihuang needle therapy was applied at Yintang (GV24⁺), Baihui (GV20) and bilateral Jueyinshu (BL14), Xinshu (BL15) in the observation group, multi-direction needling was delivered and without needle retaining. The treatment was given 2 times a week, each treatment was delivered at interval of 2 days at least. Behavioral intervention was adopted in the control group. Treatment for consecutive 12 weeks was required in both groups. Before and after treatment, the scores of children's sleep habits questionnaire (CSHQ), the autism behavior checklist (ABC), the childhood autism rating scale (CARS), and the childhood autism behavior scale (CABS) were observed in the two groups. RESULTS: After treatment, the scores of CSHQ, ABC, CARS and CABS were decreased compared with those before treatment (P<0.01), and the above scores in the observation group were lower than those in the control group (P<0.05). CONCLUSION Qihuang needle therapy can effectively treat ASD with sleep disorder, improve the core symptoms of ASD and the sleep quality.
Humans ; Autism Spectrum Disorder/physiopathology* ; Male ; Female ; Child ; Sleep Wake Disorders/physiopathology* ; Child, Preschool ; Acupuncture Therapy ; Acupuncture Points ; Treatment Outcome ; Sleep ; Needles

OBJECTIVES: Tiletamine, a veterinary anesthetic, has emerged as a novel psychoactive substance and has been abused in many parts of the world, causing great harm to public health. However, the sensitivity of existing detection methods cannot meet the needs of forensic practice. This study aims to establish an ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method for the determination of tiletamine and its metabolite desethyltiletamine in human biological samples, and to verify its applicability in forensic practice. METHODS: SKF_525A was used as the internal standard. Biological samples were extracted with acetonitrile containing 1 ng/mL SKF_525A, vortexed for 10 min, ultrasonicated for 20 min, centrifuged at 10 000 r/min for 10 min, and 500 μL of the supernatant was filtered through a 0.22 μm membrane. Analyses were performed using an ACQUITY UPLC H-Class PLUS system and an XEVO TQ-S Micro triple quadrupole mass spectrometer. An ACQUITY UPLC^® BEH C18 (1.7 µm, 2.1 mm×100 mm) column at a flow rate of 0.3 mL/min was used, and four mobile phase systems were tested to optimize separation. Detection used positive electrospray ionization (ESI+) in multiple reaction monitoring (MRM) mode, with quantifier ion transitions of mass to charge 224.043→179.016 for tiletamine and mass to charge 196.08→151.06 for desethyltiletamine. Calibration curves were established over 0.1-200 ng/mL in spiked blood samples. The linear range, limit of detection (LOD), and limit of quantification (LOQ) were determined. Low (5 ng/mL), medium (20 ng/mL), and high (100 ng/mL) concentrations of tiletamine were spiked into blood, liver, and kidney to evaluate precision, accuracy, matrix effect, recovery, and stability. Finally, actual forensic case samples were tested to validate applicability. RESULTS: The established UPLC-MS/MS method achieved simultaneous detection of tiletamine and desethyltiletamine in human biological samples, with retention times of 3.42 min and 2.82 min, respectively. Using mobile phase A (20 mmol/L ammonium acetate and 0.1% formic acid in water) and mobile phase B (acetonitrile) produced the best separation. In blood, tiletamine showed good linearity from 0.1-200 ng/mL (r=0.992, R²=0.983), LOD 0.03 ng/mL, LOQ 0.1 ng/mL, recovery 92%-107%, and matrix effect 71%-99%. In liver and kidney, recoveries were 91%-98% and 93%-104%, and matrix effects were 69%-96% and 72%-100%, respectively. Intra- and inter-day precision [expressed as relative standard deviation (RSD)] and accuracy [expressed as relative error (RE)] were within 15%, and samples were stable at -20 ℃. Tiletamine was detected in actual case samples at 0.37 μg/mL (blood), 0.15 μg/g (liver), 0.11 μg/g (kidney) in case 1, and 8.75 ng/mL (blood) in case 2; desethyltiletamine was also detected in blood. CONCLUSIONS The UPLC-MS/MS method is efficient, accurate, and sensitive, and is suitable for detecting tiletamine and desethyltiletamine in human biological samples.
Tandem Mass Spectrometry/methods* ; Humans ; Chromatography, High Pressure Liquid/methods* ; Substance Abuse Detection/methods* ; Liquid Chromatography-Mass Spectrometry

Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

This research study focuses on addressing the limitations of current neuropathic pain (NP) treatments by developing a novel dual-target modulator, E0199, targeting both Na_V1.7, Na_V1.8, and Na_V1.9 and K_V7 channels, a crucial regulator in controlling NP symptoms. The objective of the study was to synthesize a compound capable of modulating these channels to alleviate NP. Through an experimental design involving both in vitro and in vivo methods, E0199 was tested for its efficacy on ion channels and its therapeutic potential in a chronic constriction injury (CCI) mouse model. The results demonstrated that E0199 significantly inhibited Na_V1.7, Na_V1.8, and Na_V1.9 channels with a particularly low half maximal inhibitory concentration (IC₅₀) for Na_V1.9 by promoting sodium channel inactivation, and also effectively increased K_V7.2/7.3, K_V7.2, and K_V7.5 channels, excluding K_V7.1 by promoting potassium channel activation. This dual action significantly reduced the excitability of dorsal root ganglion neurons and alleviated pain hypersensitivity in mice at low doses, indicating a potent analgesic effect without affecting heart and skeletal muscle ion channels critically. The safety of E0199 was supported by neurobehavioral evaluations. Conclusively, E0199 represents a ground-breaking approach in NP treatment, showcasing the potential of dual-target small-molecule compounds in providing a more effective and safe therapeutic option for NP. This study introduces a promising direction for the future development of NP therapeutics.

Objective The MMV-Net,a deep learning framework based on mammogram multiple views,was constructed to evaluate the classification performance of the model for benign and malignant masses.Methods A retrospective analysis was conduc-ted on a dataset of 1 585 breast X-ray images from Harbin Medical University Cancer Hospital from 2018 to 2020,including 806 be-nign cases and 779 malignant cases.The dataset was divided into the training set(n=1268)and the test set(n=317)according to an 8∶2 ratios,and the training set was stratified according to the 5-fold cross validation.The integrated DDSM dataset and INBreast dataset were used as external test sets(n=1645)to evaluate the model performance.Each case in the input layer contained 4 views.The MMV-Net model was constructed by removing the last two layers of the ResNet22 network structure and adding an average poo-ling layer as the feature extraction layer,as well as fully connection layer and softmax activation function as the decision layers.Bayes-ian hyperparameter optimization was used.The performance of MMV-Net,MFA Net,and ensemble inception V4 models in AUC val-ues,accuracy,precision,recall and F1 scores were compared.Results The AUC values of MMV-Net model for distinguishing benign and malignant masses on the test set were 0.913,0.882 for MFA-Net,and 0.865 for inception V4.The accuracy and precision evalu-ation metrics of the MMV-Net model were also higher than the other two models.Conclusion The deep learning MMV-Net model based on multiple views of mammogram is helpful for the classification of benign and malignant breast masses.

Mental disorders are characterized by disturbances in behavior,volition,emotion,and cognition and are considered emotional diseases in traditional Chinese medicine.Acupuncture is one of the most widely used complementary alternative therapies for the treatment of mental disorders.Recently,there has been growing interest in the use of the Tong Du Tiao Shen(Dredging Du meridian to regulate the spirit)as a primary treatment.However,a comprehensive summary of the establishment and related acupuncture methods of Tong Du Tiao Shen is lacking.This paper aims to address this gap by exploring the origin and development of Tong Du Tiao Shen,its application in treating mental disorders,and the modern biological mechanisms involved.Ultimately,this paper seeks to expand the clinical application of Tong Du Tiao Shen acupuncture and provide a scientific basis for future research in this field.

Objective:To explore genes related to costimulatory molecule related to the prognosis of bladder cancer,and to construct and evaluate prognosis model based on costimulatory molecule-based signature(CMS).Methods:Gene expression matrix and clinical information of bladder cancer patients were downloaded from TCGA database and GEO database(GSE31684),and costimulatory molecule-related genes were retrieved from the literature.The univariate and multivariate Cox analysis were used to screened prognostic-related genes and constructed prognostic model.Forecast accuracy of model was verified in TCGA training group,TCGA validation data group and GEO group by Kaplan-Meier survival analysis and receiver operating characteristic curve(ROC).Considering risk score and clinical characteristics,we constructed a nomogram and evaluated its performance by consistency analysis and ROC.CIBERSORT algorithm was used to analyze immune cell composition of tumor microenvironment infiltration,and gene set enrichment analysis(GSEA)was performed to explore the potential mechanism.Results:Four prognostic-related CMSs were found:TNFRSF14,CD276,ICOS and TMIGD2,of which three were included in the risk score construction.Multivariate Cox regression results showed that the risk score based on CMS was an independent prognostic factor for bladder cancer patients.Consistency analysis and ROC results showed that the nomogram had ideal prognosis prediction accuracy.Immune infiltration analysis showed that the high risk group was likely to be in immunosuppressive state.GSEA results suggested that genes in high risk group were enriched in extracel-lular matrix(ECM)receptors interaction,cell cycle and other pathways.Conclusion:TNFRSF14,CD276 and ICOS may be potential prognostic biomarkers for bladder cancer patients.CMS-based risk score and nomogram could contribute to early prognosis and choice of personalized treatment.

Objective:To compare the clinical efficacy of arthroscopic partial and complete repair for massive rotator cuff tears.Methods:A total of 32 patients who underwent arthroscopic partial repair of massive rotator cuff tears in the Department of Sports Medicine, Peking University Third Hospital from March 2016 to December 2019 were retrospectively analyzed, including 15 males and 17 females, aged 62±6.8 years (range, 51-77 years), with 5 cases on the left side and 27 cases on the right side. Cause of injury: 4 cases were injured by car accident, 8 were injured by fall, and 20 had no obvious cause. 32 patients who underwent arthroscopic complete repair of massive rotator cuff tears during the same period were included according to a sample size of 1∶1 matched based on age, sex, tear size and fat infiltration index. Clinical outcomes were evaluated using the visual analogue scale (VAS) for pain, American Shoulder and Elbow Surgeons (ASES) score, University of California Los Angeles (UCLA) shoulder score, Simple Shoulder Test (SST) score, and range of motion. Fatty infiltration and cuff healing were assessed using the Goutallier and Sugaya classifications on MRI, respectively.Results:All patients successfully completed the surgery and were followed up for 46.1±11.3 months (range, 36-72 months). Preoperative and final follow-up VAS scores were 6.6±1.8 and 1.6±1.1 in the complete repair group, and 6.4±1.9 and 1.4±1.3 in the partial repair group. Both groups showed significant postoperative improvement ( P<0.05), with no significant difference between groups at the final follow-up ( t=-0.729, P=0.468). The ASES score, UCLA shoulder score, and SST at the final follow-up were 81.7±6.5, 28.6±2.9, and 9.8±2.5, respectively, in the complete repair group, and 82.4±7.3, 28.1±2.6, and 9.1±1.9 in the partial repair group, and the difference between the groups was not statistically significant ( P>0.05). In the complete repair group, one case underwent reverse shoulder replacement for rotator cuff re-tear two years after surgery, and one case developed pseudoparalysis for rotator cuff re-tear 8 months after surgery but had no significant pain and did not receive further treatment; in the partial repair group, two cases underwent tendon transposition surgery for shoulder pain. Conclusion:Arthroscopic partial repair improves shoulder function and reduces pain in patients with massive rotator cuff tears, with similar efficacy to complete repair and has high surgical safety.

Diffusion weighted imaging is an important imaging technique for diagnosing and evaluating the effectiveness of disease treatment,mainly focusing on the overall diffusion behavior of water molecules but ignoring the microscopic movement of water molecules and the details of tissue microstructures.Combining oscillatory gradient spin-echo and pulsed gradient spin echo sequences,time-dependent diffusion MRI(td-dMRI)captured diffusion MRI signals at varying time,in order to obtain information of different microstructures,which had recently emerged into clinical application with the advancements of hardware.The principles of td-dMRI technology and its application progresses in tumors were reviewed in this article.

Objective To investigate the pharmacological effects of"Yajieshaba"on mice with alcohol-induced liver injury and to investigate the mechanism of the impact of"Yajieshaba"on the regulation of intestinal flora by 16S rDNA technology.Methods Healthy male KM mice were randomly divided into control,model,"Yajieshaba"low,medium,and high dose(0.39,1.17 and 3.51 g·kg-1)groups and Bifendatatum(2.93 mg·kg-1)groups,with eight mice in each group.After one week of pre-administration of"Yajieshaba",a mouse model of acute alcoholic liver injury was established by a single instillation of 56%alcohol,and the levels of AST and ALT in the serum of mice were measured,and the morphological changes of liver histology were observed by HE staining;secondly,faecal DNA was extracted from each group under aseptic operation,and 16S rDNA sequencing and differential analysis by alpha diversity and species composition at the phylum and genus levels were performed.Results The results showed that the biochemical indexes of liver function(ALT and AST)were significantly improved by"Yajieshaba",and the degree of liver damage was significantly reduced by HE staining.At the phylum level,it significantly decreased the abundance of Aspergillus and increased the quantity of Bacteroides;at the genus level,it significantly up-regulated the plenty of Bacteroides and Prevotella and downregulated a lot of Prevotella and Helicobacter.At the genus level,"Yajieshaba"significantly up-regulated the abundance of Bacillus spp.and Prevotella spp.and down-regulated the abundance of Prevotella spp.and Helicobacter spp.Conclusion"Yajieshaba"may play an anti-acute alcoholic liver injury effect by regulating the intestinal flora and metabolites.