The chemical constituents were systematically separated from the roots of Berberis polyantha by various chromatographic methods, including silica gel column chromatography, HP20 column chromatography, polyamide column chromatography, reversed-phase C_(18) column chromatography, and preparative high-performance liquid chromatography. The structures of the compounds were identified by physicochemical properties and spectroscopic techniques(1D NMR, 2D NMR, UV, MS, and CD). Four phenylpropanoids were isolated from the methanol extract of the roots of B. polyantha, and they were identified as(2R)-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone-O-β-D-glucopyranoside(1), methyl 4-hydroxy-3,5-dimethoxybenzoate(2),(+)-syringaresinol(3), and syringaresinol-4-O-β-D-glucopyranoside(4). Compound 1 was a new compound, and other compounds were isolated from this plant for the first time. The anti-inflammatory activity of these compounds was evaluated based on the release of nitric oxide(NO) in the culture of lipopolysaccharide(LPS)-induced RAW264.7 macrophages. At a concentration of 10 μmol·L~(-1), all the four compounds inhibited the LPS-induced release of NO in RAW264.7 cells, demonstrating potential anti-inflammatory properties.
Plant Roots/chemistry* ; Animals ; Mice ; Berberis/chemistry* ; RAW 264.7 Cells ; Macrophages/immunology* ; Drugs, Chinese Herbal/isolation & purification* ; Nitric Oxide/metabolism* ; Molecular Structure ; Anti-Inflammatory Agents/isolation & purification*

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

OBJECTIVE: To investigate the expression of RNA binding protein ELAVL1 in prostate cancer (PCa), especially hormone-sensitive prostate cancer (HSPC), and its relationship with tumor proliferation. This study further aims to reveal the molecular mechanism by which ELAVL1 promotes HSPC proliferation by stabilizing SOX4 mRNA in an m6A-dependent manner. METHODS: The expression of ELAVL1 in PCa tissues and its relationship with prognosis were analyzed in the Cancer Genome Atlas (TCGA) database, and the differences in HSPC and hormone-resistant prostate cancer (HRPC) were compared. And its relationship with prognosis were analyzed in the Cancer Genome Atlas (TCGA) database, and the differences in HSPC and hormone-resistant prostate cancer (HRPC) were compared. Western blot was used to detect ELAVL1 protein expression in PCa cell lines. After ELAVL1 knockdown by siRNA, cell proliferation was evaluated using CCK-8 assays, and changes in downstream target genes were detected by RT-qPCR. Tumor xenograft experiments in nude mice were performed to further assess the impact of ELAVL1 on tumor growth. The interaction between ELAVL1 and SOX4 mRNA was verified by RIP-seq. And the mRNA and protein levels of SOX4 after knockdown of ELAVL1 were detected by RT-qPCR and Western blot, respectively. CCK-8 was used to evaluate the effect of SOX4 knockdown on cell proliferation. MeRIP-qPCR was used to detect the m6A modification level of SOX4 and the effect of knocking down METTL3. RNA pull-down experiments verified the interaction between SOX4 RNA fragments and ELAVL1 protein. RNA stability experiments evaluated the effect of ELAVL1 knockdown on SOX4 mRNA stability. RESULTS: The expression of ELAVL1 in PCa cells was higher than that in normal prostate epithelial cells. The prognosis of patients with high expression of ELAVL1 was significantly worse than that of patients with low expression. In the GSE32269 dataset, the expression level of ELAVL1 in HSPC was significantly higher than that in HRPC. After knocking down of ELAVL1 in LNCaP and VCaP cells, CCK-8 experiments showed that the cell proliferation ability was significantly affected after knocking down ELAVL1, and overexpressed ELAVL1 promoted the proliferation of HSPC cells. The results of in vivo studies showed that knockdown of ELAVL1 significantly inhibited the tumorigenic capacity of LNCaP cells and resulted in a marked reduction in xenograft tumor mass. The levels of SOX4 mRNA and protein in LNCaP and VCaP cells were significantly higher than those in normal prostate epithelial cells RWPE-1. RIP-qPCR confirmed the interaction between ELAVL1 protein and SOX4 mRNA. After knocking down of ELAVL1, the expression levels of SOX4 mRNA and protein were significantly decreased. After knocking down of SOX4, the proliferation ability of LNCaP and VCaP cells was significantly inhibited. CONCLUSION ELAVL1 is highly expressed in HSPC. High expression of ELAVL1 is associated with the proliferation of HSPC. SOX4 is a downstream molecule of ELAVL1 which promotes the proliferation of HSPC. ELAVL1 enhances the stability of SOX4 mRNA through an m6A-dependent mechanism.
Male ; Humans ; SOXC Transcription Factors/genetics* ; ELAV-Like Protein 1/metabolism* ; Cell Proliferation ; Prostatic Neoplasms/genetics* ; Animals ; Mice, Nude ; Cell Line, Tumor ; Mice ; Gene Expression Regulation, Neoplastic ; RNA, Messenger/metabolism* ; Prognosis

Cannabidiol (CBD), a non-psychoactive cannabinoid, shows great promise in treating methamphetamine (METH) addiction. Nonetheless, the molecular target and the mechanism through which CBD treats METH addiction remain unexplored. Herein, CBD was shown to counteract METH-induced locomotor sensitization and conditioned place preference. Additionally, CBD mitigated the adverse effects of METH, such as cristae loss, a decline in ATP content, and a reduction in membrane potential. Employing an activity-based protein profiling approach, a target fishing strategy was used to uncover CBD's direct target. ATP5A1, a subunit of ATP synthase, was identified and validated as a CBD target. Moreover, CBD demonstrated the ability to ameliorate METH-induced ubiquitination of ATP5A1 via the D376 residue, thereby reversing the METH-induced reduction of ATP5A1 and promoting the assembly of ATP synthase. Pharmacological inhibition of the ATP efflux channel pannexin 1, blockade of ATP hydrolysis by a CD39 inhibitor, and blocking the adenosine A1 receptor (A1R) all attenuated the therapeutic benefits of CBD in mitigating METH-induced behavioral sensitization and CPP. Moreover, the RNA interference of ATP5A1 in the ventral tegmental area resulted in the reversal of CBD's therapeutic efficacy against METH addiction. Collectively, these data show that ATP5A1 is a target for CBD to inhibit METH-induced addiction behaviors through the ADO-A1R signaling pathway.

OBJECTIVE: Observational studies have found associations between inflammatory bowel disease (IBD) and the risk of dementia, including Alzheimer's dementia (AD) and vascular dementia (VD); however, these findings are inconsistent. It remains unclear whether these associations are causal. METHODS: We conducted a meta-analysis by systematically searching for observational studies on the association between IBD and dementia. Mendelian randomization (MR) analysis based on summary genome-wide association studies (GWASs) was performed. Genetic correlation and Bayesian co-localization analyses were used to provide robust genetic evidence. RESULTS: Ten observational studies involving 80,565,688 participants were included in this meta-analysis. IBD was significantly associated with dementia (risk ratio [ RR] =1.36, 95% CI = 1.04-1.78; I ² = 84.8%) and VD ( RR = 2.60, 95% CI = 1.18-5.70; only one study), but not with AD ( RR = 2.00, 95% CI = 0.96-4.13; I ² = 99.8%). MR analyses did not supported significant causal associations of IBD with dementia (dementia: odds ratio [ OR] = 1.01, 95% CI = 0.98-1.03; AD: OR = 0.98, 95% CI = 0.95-1.01; VD: OR = 1.02, 95% CI = 0.97-1.07). In addition, genetic correlation and co-localization analyses did not reveal any genetic associations between IBD and dementia. CONCLUSION Our study did not provide genetic evidence for a causal association between IBD and dementia risk. The increased risk of dementia observed in observational studies may be attributed to unobserved confounding factors or detection bias.
Humans ; Mendelian Randomization Analysis ; Inflammatory Bowel Diseases/complications* ; Dementia/etiology* ; Observational Studies as Topic ; Genome-Wide Association Study

Objective : To explore the effect of Wilms′ tumor 1-associated protein(WTAP) on tissue collagen deposition in pulmonary fibrosis caused by bleomycin. Methods : 60 mice were randomly divided into four groups: control group(Control group), Bleomycin-induced pulmonary fibrosis group(BLM group), pulmonary fibrosis lentivirus empty vector control group(BLM+LV-NC group), pulmonary fibrosis WTAP lentivirus group virus group(BLM+LV-WTAP group). Experimental pulmonary fibrosis mouse model was established by subcutaneous injection of bleomycin(35 mg/kg) into the abdomen, twice a week for a total of 8 times. After modeling, Western Blot was used to detect the protein expression of fibrosis-related markers α-smooth muscle actin(α-SMA), type I collagen(Collagen Ⅰ), fibronectin(Fibronectin), and WTAP protein. Masson staining and Sirius Red staining were used to detect collagen deposition. RT-qPCR was used to detect WTAP mRNA expression, WTAP lentivirus infection effect, and Collagen Ⅰ mRNA expression. Results: Compared with the Control group, the expression of pulmonary fibrosis markers α-SMA(P<0.001), Collagen Ⅰ(P<0.001), and Fibronectin(P<0.01) protein in the BLM group all increased. Masson staining(P<0.001) and Sirius Red staining(P<0.001) confirmed that significant collagen deposition occurred in the lung tissue of the BLM group. In addition, the expression of WTAP protein in the lung tissue of the BLM group increased(P<0.01). Compared with the Control group, the expression of WTAP mRNA in the BLM group increased(P<0.001). Compared with the BLM+LV-NC group, the expression of WTAP mRNA in the tissues of the BLM+LV-WTAP group decreased(P<0.001), proving that virus infection is effective. After infection with WTAP lentivirus, collagen fiber deposition decreased(P<0.001), Collagen Ⅰ mRNA(P<0.001) level decreased, and protein(P<0.001) expression decreased in the BLM+LV-WTAP group. Conclusion Knocking down of WTAP can reduce collagen deposition in bleomycin-induced pulmonary fibrosis tissue in mice and improve experimental pulmonary fibrosis.

Objective A deep learning-based method for evaluating the quality of pediatric pelvic X-ray images is proposed to construct a diagnostic model and verify its clinical feasibility.Methods Three thousand two hundred and forty-seven children with anteroposteric pelvic radiographs are retrospectively collected and randomly divided into training datasets,validation datasets and test datasets.Artificial intelligence model is conducted to evaluate the reliability of quality control model.Results The diagnostic accuracy,area under ROC curve,sensitivity and specificity of the model are 99.4%,0.993,98.6%and 100.0%,respectively.The 95%consistency limit of the pelvic tilt index of the model is-0.052-0.072.The 95%consistency threshold of pelvic rotation index is-0.088-0.055.Conclusion This is the first attempt to apply AI algorithm to the quality assessment of children's pelvic radiographs,and has significantly improved the diagnosis and treatment status of DDH in children.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective:To analyze the prognostic factors of children with septic shock in the pediatric intensive care unit.Methods:The clinical data of children diagnosed with septic shock in the pediatric intensive care unit of Guiyang Maternal and Child Health Hospital from April 2018 to April 2022 were retrospectively collected,and the children were divided into the death group and the survival group according to seven days regression.The basic data of the two groups were statistically compared，and the relationship between lactic acid，vasoactive-inotropic score one hour after admission，time of antibiotic initiation，serum potassium，serum sodium，serum calcium，serum troponin T，fluid resuscitation volume in the first hour，glutamyl aminotransferase，creatinine，total leukocyte count，C-reaction protein，brain natriuretic peptide were compared.The risk factors affecting the death of children were analyzed by Logistic regression.The relationship between fluid resuscitation volume in the first hour and prognosis was analyzed using the receiver operator characteristic (ROC) curve.Results:（1）A total of 67 children were included，19 died and 48 survived.（2）The first-hour liquid resuscitation dose in the survival group was lower than that in the death group，and the difference was statistically significant（ P<0.05）.（3）The ROC curve showed that the optimal cut-off of the first-hour liquid resuscitation dose was 25 mL/kg，with a sensitivity of 57.9% and a specificity of 72.9%.（4）In unifactorial analysis，lactic acid in the first hour of admission，early lactic acid after resuscitation，serum calcium，serum troponin T，alanine aminotransferase，combined septic encephalopathy，Glasgow coma score，and pediatric critical illness score were all risk factors for death in children within seven days（ P<0.05）.(5) Multivariate Logistic regression analysis showed that serum calcium（ OR=1.435， P=0.001）and lactic acid value after resuscitation（ OR=0.040， P=0.021）were independent risk factors for death in septic shock. Conclusion:The higher the total fluid resuscitation in the first hour，the higher the fatality rate.Serum calcium and early lactic acid after resuscitation are independent risk factors for death in children within seven days.