Objective To evaluate the application of three deep learning algorithms in automatic segmentation of clinical target volumes (CTVs) in high-dose-rate brachytherapy after surgery for endometrial carcinoma. Methods A dataset comprising computed tomography scans from 306 post-surgery patients with endometrial carcinoma was divided into three subsets: 246 cases for training, 30 cases for validation, and 30 cases for testing. Three deep convolutional neural network models, 3D U-Net, 3D Res U-Net, and V-Net, were compared for CTV segmentation. Several commonly used quantitative metrics were employed, i.e., Dice similarity coefficient, Hausdorff distance, 95th percentile of Hausdorff distance, and Intersection over Union. Results During the testing phase, CTV segmentation with 3D U-Net, 3D Res U-Net, and V-Net showed a mean Dice similarity coefficient of 0.90 ± 0.07, 0.95 ± 0.06, and 0.95 ± 0.06, a mean Hausdorff distance of 2.51 ± 1.70, 0.96 ± 1.01, and 0.98 ± 0.95 mm, a mean 95th percentile of Hausdorff distance of 1.33 ± 1.02, 0.65 ± 0.91, and 0.40 ± 0.72 mm, and a mean Intersection over Union of 0.85 ± 0.11, 0.91 ± 0.09, and 0.92 ± 0.09, respectively. Segmentation based on V-Net was similarly to that performed by experienced radiation oncologists. The CTV segmentation time was < 3.2 s, which could save the work time of clinicians. Conclusion V-Net is better than other models in CTV segmentation as indicated by quantitative metrics and clinician assessment. Additionally, the method is highly consistent with the ground truth, reducing inter-doctor variability and treatment time.

Aim To investigate the mechanism of ligu aged 2 months of the same strain were used as the constilide (LIG) in delaying the senescence of auditory trol (Ctrl) group. Auditory brainstem response test was cortex and treating central presbycusis. Methods used to detect the auditory threshold of mice before and Forty C57BL/6J mice aged 13 months were randomly di after treatment. Levels of serum MDA and activity of vided into ligustilide low-dose(L-LIG) group, ligustil serum SOD were detected to display the level of oxidative ide medium-dose (M-LIG) group, ligustilide high-dose stress. The pathological changes of auditory cortex were (H-LIG) group and aging (Age) group, and 10 mice observed by HE staining. Ferroptosis was observed by

Objective:To explore the effects of electroacupuncture in regulating the intestinal flora of high-fat diet (HFD)-fed mice from microbiota-derived extracellular vesicles. Methods:Obese mice with established nutritional obesity model were randomly divided into either the model group (n=10) or the electroacupuncture group (n=10). Acupuncture groups were chosen to pinprick points of Zhongwan, Guanyuan, Tianshu and Zusanli. Stool samples were collected from groups at the end of the intervention and extracellular vesicles (EVs) were isolated using ultracentrifugation. The morphology of EVs isolated from the stool was confirmed by transmission electron microscopy (TEM) and analysis of the associated intestinal flora by extracting microbial DNA from them for 16S rRNA sequencing. Results:The weight and Lee's index of obese mice decreased significantly after electroacupuncture intervention treatment (P<0.01). TEM images showed that EV extracted from stools were in the form of round or oval double-membraned vesicle-like structures. The 16S rRNA sequencing analysis showed that at the phylum level, the relative abundance of Proteobacteria in the model group was significantly higher than that of the normal group (P<0.05), while the relative abundance of Frimicutes and Bacteroidetes was significantly lower than that of the normal group(P<0.05). At the genus level, expressions of Psychrobacter and Planomicrobium in the model group were significantly higher than those in the normal group (P<0.01), while expressions of Solibacillus, Solibacillus, Proteus, Lactobacillus, Agrobacterium, Enterobacter, Brevundimonas, and Comamonas were significantly lower than those in the normal group (P<0.05). After electroacupuncture intervention, the intestinal microbial diversity of experimental mice increased, and the flora structure was closer to that of normal mice. Conclusion:Structural changes in the gut flora of nutritionally obese mice accompanied by changes in gut microbial-derived EVs profiles, and 16S rRNA sequencing analysis showed that microbial DNA in gut microbial-derived EVs reflected the composition of the gut microbiota, and that electroacupuncture for the treatment of obesity was not only related to the modulation of the gut flora, but was also closely related to gut microbial-derived EVs.

Objective To develop a matrix metalloproteinase(MMP)-responsive hyaluronic acid(HA)-based controlled-release material for brain-derived neurotrophic factor(BDNF)to provide a novel therapeutic strategy for intervention and repair of traumatic brain injury(TBI).Methods HA was modified with amination,followed by condensation with Suflo-SMCC carboxyl group to form amide,and then linked with glutathione(GSH)to synthesize HA-GSH.The recombinant glutathione S-transferase(GST)-tissue inhibitor of metalloproteinase(TIMP)-BDNF(GST-TIMP-BDNF)expression plasmid was constructed using molecular cloning technique with double enzyme digestion by Bam H Ⅰ and Eco R Ⅰ.The recombinant GST-TIMP-BDNF protein was expressed in the Escherichia coli prokaryotic expression system,and purified by ion exchange chromatography,confirmed by Western blotting.MMP diluents were supplemented with PBS,MMP inhibitor marimastat,and varing concentrations(0.4,0.6,0.8 mg/ml)of GST-TIMP-BDNF or GST-BDNF.MMP-2 activity was analyzed using an MMP activity detection kit to evaluate the inhibitory effect of the recombinant protein on MMP.Primary rat neurons were extracted and cultured to establish an iron death model induced by RSL3.The effect of recombinant protein GST-TIMP-BDNF on neuronal injury was detected by immunofluorescence staining.Results MRI hydrogen spectrum identification confirmed the successful synthesis of HA-GSH.Western blotting results showed the successful expression of the recombinant protein GST-TIMP-BDNF containing the GST tag using the E.coli prokaryotic expression system.MMP activity detection results indicated that the recombinant protein GST-TIMP-BDNF had a superior inhibitory effect on MMP-2 activity compared to GST-BDNF(P<0.05).Immunofluorescence staining results showed a significant increase in fluorescence intensity in rat neurons treated with GST-TIMP-BDNF after RSL3 induction(P<0.05).Conclusion A MMP-responsive HA-based BDNF controlled-release material has been successfully developed,exhibiting a protective effect on neuron damage.

Colorectal cancer is a common malignant tumor of the digestive system globally, with both its incidence and mortality rates increasing annually in China. In recent years, there has been exponential growth in technology based on artificial intelligence, leading to significant advancements in the field of medical imaging diagnosis. Particularly in the application of colonoscopy, CT and magnetic resonance imaging (MRI), artificial intelligence, leveraging its advanced image recognition and feature analysis capabilities, has provided new perspectives for the diagnosis of colorectal cancer, thereby driving the realization of precision medicine. Currently, various artificial intelligence algorithms are either under development or optimization, such as performance comparisons of various artificial intelligence-assisted systems, the collaborative application of multiple algorithms, and integration with other omics. Additionally, challenges persist in the integration difficulty, interpre-tability and credibility, as well as cost and resource limitations of AI in clinical practice, necessitating further standardization and improvement. The authors explore the current status and progress of artificial intelligence in endoscopic and imaging diagnosis of colorectal cancer from four aspects: colonoscopy, CT, MRI and other imaging examination for reference and reference by peers.

There is increasing evidence that the activation of glucagon-like peptide-1 receptor(GLP-1R)can be used as a therapeutic intervention for cognitive disorders.Here,we have screened GLP-1 R targeted com-pounds from Scutellaria baicalensis,which revealed baicalein is a potential GLP-1 R small-molecule agonist.Mitophagy,a selective autophagy pathway for mitochondrial quality control,plays a neuro-protective role in multiple cognitive impairment diseases.We noticed that Glp1r knock-out(KO)mice present cognitive impairment symptoms and appear worse in spatial learning memory and learning capacity in Morris water maze(MWM)test than their wide-type(WT)counterparts.Our mechanistic studies revealed that mitophagy is impaired in hippocampus tissue of diabetic mice and Glp1r KO mice.Finally,we verified that the cognitive improvement effects of baicalein on diabetic cognitive dysfunction occur through the enhancement of mitophagy in a GLP-1 R-dependent manner.Our findings shed light on the importance of GLP-1 R for cognitive function maintenance,and revealed the vital significance of GLP-1R for maintaining mitochondrial homeostasis.Furthermore,we identified the therapeutic potential of baicalein in the treatment of cognitive disorder associated with diabetes.

Two undescribed terpene glycosides and two compounds were isolated from the n-butanol fraction of Alpiniae Oxyphyllae Fructus by using various chromatographic methods, including MCI Gel, Sephadex LH-20, ODS, silica gel and semi-preparative HPLC. The structures of the isolated compounds were identified by spectroscopy methods (1D, 2D NMR, UV, IR, MS, etc.), and the absolute configuration of the compound 1 was determined by ECD calculation and acid hydrolysis. Compounds 1 and 2 are new compound, and compounds 3 and 4 were isolated from Alpiniae Oxyphyllae Fructus for the first time.

Studies have investigated the effects of androgen deprivation therapy (ADT) use on the incidence and clinical outcomes of coronavirus disease 2019 (COVID-19); however, the results have been inconsistent. We searched the PubMed, Medline, Cochrane, Scopus, and Web of Science databases from inception to March 2022; 13 studies covering 84 003 prostate cancer (PCa) patients with or without ADT met the eligibility criteria and were included in the meta-analysis. We calculated the pooled risk ratios (RRs) with 95% confidence intervals (CIs) to explore the association between ADT use and the infection risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and severity of COVID-19. After synthesizing the evidence, the pooled RR in the SARS-CoV-2 positive group was equal to 1.17, and the SARS-CoV-2 positive risk in PCa patients using ADT was not significantly different from that in those not using ADT (P = 0.544). Moreover, no significant results concerning the beneficial effect of ADT on the rate of intensive care unit admission (RR = 1.04, P = 0.872) or death risk (RR = 1.23, P = 0.53) were found. However, PCa patients with a history of ADT use had a markedly higher COVID-19 hospitalization rate (RR = 1.31, P = 0.015) than those with no history of ADT use. These findings indicate that ADT use by PCa patients is associated with a high risk of hospitalization during infection with SARS-CoV-2. A large number of high quality studies are needed to confirm these results.
Male ; Humans ; Prostatic Neoplasms/chemically induced* ; Androgen Antagonists/adverse effects* ; COVID-19 ; Androgens/therapeutic use* ; SARS-CoV-2

BACKGROUND: Familial hypercholesterolemia (FH) is a common autosomal dominant hereditary disease. Its early diagnosis and intervention significantly improve the patient's quality of life. However, there are few types of research on the FH pathogenic genes in China. METHODS: In this study, we recruited a family diagnosed with FH and used whole exome sequencing (WES) to analyze the proband variants. Intracellular cholesterol level, reactive oxygen species (ROS) level, and the expression of pyroptosis-related genes were detected after overexpression of wild-type or variant LDLR in L02 cells. RESULTS: A heterozygous missense variant predicted to be deleterious to LDLR (c.1879G > A, p.Ala627Thr) was identified in the proband. Mechanistically, intracellular cholesterol level, ROS level, and the expression of pyroptosis-related genes, nucleotide-binding oligomerization domain-like receptor family protein 3 (NLRP3) inflammasome and components (caspase 1, apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC) and NLRP3), gasdermin D (GSDMD), interleukin (IL) -18, IL-1β was elevated in the variant LDLR group, which was attenuated by inhibition of ROS. CONCLUSIONS FH is associated with a variant (c.1879G>A, p.Ala627Thr) in the LDLR gene. Regarding the mechanism, the ROS/NLRP3-mediated pyroptosis in hepatic cells may contribute to the pathogenesis of the LDLR variant.

Objective: To analyze the association between exposure patterns of adverse childhood experiences (ACEs) and anxiety symptom trajectories in medical college students. Methods: A survey was conducted on first-year students from Anhui Medical College and Anqing Medical College, using the Childhood Abuse Questionnaire, Family Disability Questionnaire, Childhood Adverse Social Experience Item, and Anxiety Self Rating Scale. The baseline survey was conducted from November to December 2019, and two follow-up visits were conducted once every six months until November to December 2020. The latent class analysis (LCA) was used to analyze the exposure patterns of ACEs. The latent class growth analysis (LCGA) was used to analyze the development trajectory of anxiety symptoms. The multiple logistic regression model was used to analyze the correlation between different exposure patterns of ACEs and the trajectory of anxiety symptom trajectories. Results: A total of 3 662 college students aged (19.2±1.0) were surveyed. The LCA showed that the exposure patterns of ACEs could be divided into the "high ACEs" group (13.4%), "high neglect/emotional abuse" group (25.7%), "high family dysfunction" group (6.9%), "high neglect" group (27.1%), and "low ACEs" group (26.3%). The LCGA divided anxiety trajectories into four groups: "high anxiety decline" (7.1%),"anxiety increase "(4.1%), "moderate anxiety"(52.9%), and "low anxiety"(35.9%). Using the low ACEs group as a reference group, compared with the low anxiety trajectory, the high ACEs group, high neglect/emotional abuse group, high family dysfunction group, high neglect group, and medium to high-level anxiety trajectory were all associated with an increased risk (P<0.05). Conclusion: There is heterogeneity in ACEs exposure patterns among medical college students, and ACEs exposure patterns are important influencing factors for anxiety symptom trajectories.
Humans ; Adverse Childhood Experiences ; Anxiety/epidemiology* ; Child Abuse/psychology* ; Students/psychology* ; Surveys and Questionnaires ; Adolescent ; Young Adult