Objective:To investigate the efficacy and mechanism of canagliflozin (Cana) in the treatment of high glucose-induced human podocyte (HPC) injury.Methods:The HPCs were divided into 5 groups: normal glucose group (NG group), mannitol group (MA group), high glucose group (HG group), Cana low dose (0.3 μmol/L) group and Cana high dose (1.0 μmol/L) group. Western blotting was used to examine the protein expressions of membrane-associated guanylate kinase inverted-2 (MAGI2), podocyte-associated protein nephrin, sodium-glucose transporter 2 (SGLT2), NOD-like receptor thermal protein domain associated protein 3 (NLRP3), apoptosis- associated speck-like protein containing a CARD (ASC), and cleaved-caspase1 in podocytes. Phalloidin staining of F-actin in podocytes was used to observe cytoskeletal injury. Intracellular reactive oxygen species (ROS) level of HPC was detected by the 2',7'-dichlorodihydrofluorescein diacetate (DCFH-DA) probe. Levels of interleukin (IL)-18 and IL-1β in culture medium of podocytes were detected by enzyme-linked immunosorbent assay (ELISA).Results:(1) Compared with the NG group, the protein expressions of MAGI2 and nephrin decreased (both P<0.01), the protein expression of SGLT2 increased ( P<0.01), the changes of cell morphology and cytoskeleton remodeling were obvious, intracellular ROS level increased ( P<0.01), while NLRP3, ASC and cleaved-caspase1 protein expressions decreased in the HG group (all P<0.01). The results of ELISA showed that IL-18 and IL-1β concentrations were higher in the HG group (both P<0.05). (2) Compared with the HG group, in the Cana groups, MAGI2 and nephrin expressions up-regulated (both P<0.01), the changes of cell morphology and cytoskeleton remodeling were alleviated. Meanwhile the Cana groups showed decreased SGLT2 expression ( P<0.05), lower ROS level, down- regulated NLRP3, ASC, cleaved-caspase1 expressions (all P<0.01), and decreased concentrations of IL-18 and IL-1β in culture medium of podocytes (both P<0.05). Conclusion:Cana can improve high glucose-induced injury and inflammation in human podocyte, possibly due to the repression of the ROS/NLRP3 signaling pathway.

Pharmacological perturbation studies based on protein-level signatures are fundamental for drug dis-covery.In the present study,we used a mass spectrometry(MS)-based proteomic platform to profile the whole proteome of the breast cancer MCF7 cell line under stress induced by 78 bioactive compounds.The integrated analysis of perturbed signal abundance revealed the connectivity between phenotypic behaviors and molecular features in cancer cells.Our data showed functional relevance in exploring the novel pharmacological activity of phenolic xanthohumol,as well as the noncanonical targets of clinically approved tamoxifen,lovastatin,and their derivatives.Furthermore,the rational design of synergistic inhibition using a combination of histone methyltransferase and topoisomerase was identified based on their complementary drug fingerprints.This study provides rich resources for the proteomic landscape of drug responses for precision therapeutic medicine.

BACKGROUND: Significant brain volume deviation is an essential phenotype in children with neurodevelopmental delay (NDD), but its genetic basis has not been fully characterized. This study attempted to analyze the genetic factors associated with significant whole-brain deviation volume (WBDV). METHODS: We established a reference curve based on 4222 subjects ranging in age from the first postnatal day to 18 years. We recruited only NDD patients without acquired etiologies or positive genetic results. Cranial magnetic resonance imaging (MRI) and clinical exome sequencing (2742 genes) data were acquired. A genetic burden test was performed, and the results were compared between patients with and without significant WBDV. Literature review analyses and BrainSpan analysis based on the human brain developmental transcriptome were performed to detect the potential role of genetic risk factors in human brain development. RESULTS: We recruited a total of 253 NDD patients. Among them, 26 had significantly decreased WBDV (<-2 standard deviations [SDs]), and 14 had significantly increased WBDV (>+2 SDs). NDD patients with significant WBDV had higher rates of motor development delay (49.8% [106/213] vs . 75.0% [30/40], P  = 0.003) than patients without significant WBDV. Genetic burden analyses found 30 genes with an increased allele frequency of rare variants in patients with significant WBDV. Analyses of the literature further demonstrated that these genes were not randomly identified: burden genes were more related to the brain development than background genes ( P  = 1.656e -9 ). In seven human brain regions related to motor development, we observed burden genes had higher expression before 37-week gestational age than postnatal stages. Functional analyses found that burden genes were enriched in embryonic brain development, with positive regulation of synaptic growth at the neuromuscular junction, positive regulation of deoxyribonucleic acid templated transcription, and response to hormone, and these genes were shown to be expressed in neural progenitors. Based on single cell sequencing analyses, we found TUBB2B gene had elevated expression levels in neural progenitor cells, interneuron, and excitatory neuron and SOX15 had high expression in interneuron and excitatory neuron. CONCLUSION Idiopathic NDD patients with significant brain volume changes detected by MRI had an increased prevalence of motor development delay, which could be explained by the genetic differences characterized herein.
Child ; Humans ; Neurodevelopmental Disorders/epidemiology* ; Genetic Testing ; Phenotype ; Brain/pathology* ; Genetic Background ; SOX Transcription Factors/genetics*

Objective:To evaluate the value of preoperative prediction of vessel invasion (VI) of locally advanced gastric cancer by machine learning model based on the venous phase enhanced CT radiomics features.Methods:A retrospective analysis of 296 patients with locally advanced gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from July 2011 to December 2020 was performed. The patients were divided into VI positive group ( n=213) and VI negative group ( n=83) based on pathological results. The data were divided into training set ( n=207) and test set ( n=89) according to the ratio of 7∶3 with stratification sampling. The clinical characteristics of patients were recorded, and the independent risk factors of gastric cancer VI were screened by multivariate logistic regression. Pyradiomics software was used to extract radiomic features from the venous phase enhanced CT images, and the minimum absolute shrinkage and selection algorithm (LASSO) was used to screen the features, obtain the optimal feature subset, and establish the radiomics signature. Four machine learning algorithms, including extreme gradient boosting (XGBoost), logistic, naive Bayes (GNB), and support vector machine (SVM) models, were used to build prediction models for the radiomics signature and the screened clinical independent risk factors. The efficacy of the model in predicting gastric cancer VI was evaluated by the receiver operating characteristic curve. Results:The degree of differentiation (OR=13.651, 95%CI 7.265-25.650, P=0.003), Lauren′s classification (OR=1.349, 95%CI 1.011-1.799, P=0.042) and CA199 (OR=1.796, 95%CI 1.406-2.186, P=0.044) were independent risk factors for predicting the VI of locally advanced gastric cancer. Based on the venous phase enhanced CT images, 864 quantitative features were extracted, and 18 best constructed radiomics signature were selected by LASSO. In the training set, the area under the curve (AUC) of XGBoost, logistic, GNB and SVM models for predicting gastric cancer VI were 0.914 (95%CI 0.875-0.953), 0.897 (95%CI 0.853-0.940), 0.880 (95%CI 0.832-0.928) and 0.814 (95%CI 0.755-0.873), respectively, and in the test set were 0.870 (95%CI 0.769-0.971), 0.877 (95%CI 0.788-0.964), 0.859 (95%CI 0.755-0.961) and 0.773 (95%CI 0.647-0.898). The logistic model had the largest AUC in the test set. Conclusions:The machine learning model based on the venous phase enhanced CT radiomics features has high efficacy in predicting the VI of locally advanced gastric cancer before the operation, and the logistic model demonstrates the best diagnostic efficacy.

Lipid Droplets/metabolism* ; Bacteria ; Lipid Metabolism

Objective: To analyze the current nutritional composition of commonly consumed prepackaged foods among children in Chengdu and to provide a scientific basis for health education among children and adolescents. Methods: Based on the 3 day and 24 hour dietary data of children aged 6-12 in Chengdu of the Southwest China Childhood Nutrition and Growth Cohort from 2021 to 2022, the nutritional information of prepackaged foods was collected by combining offline and online methods. All foods were classified step by step, and the nutrient content of each 100 g or 100 mL food was counted and graded. Results: A total of 1 902 children s prepackaged foods in 23 sub categories of 10 major categories were investigated. Nuts and seeds, snack foods, instant foods and other dairy products had higher total energy(2 476, 2 027, 1 728, 1 816 kJ/100 g), with the nutrient reference value percentage(NRV%) exceeding 20%. Fish, poultry, meat, eggs and their products had the highest protein content(22.8 g/ 100 g ) with an NRV% of 38%, nuts and seeds had the highest fat content(47.5 g/100 g) with an NRV% of 79%, confectionery and jelly had the highest carbohydrate content(82.1 g/100 g) with an NRV% of 27%, and seasoning flour products had the highest sodium content with an NRV% up to 118%. Seasoning flour products and instant foods were mostly high sodium, high fat and high carbohydrate food. Baked and puffed foods were almost high fat and high carbohydrate. Fish, poultry, meat, eggs, beans and their products were rich in protein but mostly high in sodium. Beverages and cold drinks were low in other nutrients except carbohydrate. Conclusion The nutrient content of various prepackaged foods commonly consumed by children in Chengdu are quite different. Most of the foods consumed by children are high sodium, high fat and/or high carbohydrate. Nutrition education should be strengthened to help children choose healthy foods.

Abstract OBJECTIVE To explore the material basis and mechanism of Crataegi Fructus in improving metabolic hypertension(MH) by using network pharmacology and molecular docking technique.METHODS The components of Crataegi Fructus were collected by HERB, ETCM database and literature survey; screening all ingredients of Crataegi Fructus to improve MH targets through databases such as SwissTargetPrediction and GeneCards; build "active ingredient-target-disease" network of Crataegi Fructus with Cytoscape software; DAVID was used to analyze GO enrichment and KEGG pathway. The core components and core targets were verified by molecular docking with Autodock software. RESULTS The total of 89 active components were screened from Crataegi Fructus and acted on 84 targets. Among them, the core active components of Crataegi Fructus to improve MH were maslinic acid, fomefficinic acid B, linolenic acid, linoleic acid, methyl-n-nonylketone, apigenin, ursolic acid, etc. The core targets were CYP19A1, PPARA, ESR1, PTGS2, PPARG, NR3C1, MMP9, TNF, etc. The mechanism of action mainly involved multiple signaling pathways such as inflammation, glycolipid metabolism, and vascular endothelial function. Molecular docking showed that the core active ingredients of Crataegi Fructus had high affinity with core targets. CONCLUSION Crataegi Fructus may regulate multiple signaling pathways such as TNF, IL-17, AGE-RAGE, HIF-1, cGMP-PKG through multi-component regulation, thereby inhibiting inflammatory response, improving glucose and lipid metabolism abnormalities, and improving vascular endothelial function, so as to comprehensively exert the role of improving MH in various aspects.

Humans ; Infant, Newborn ; Intensive Care Units, Neonatal ; Logistic Models ; Phenotype ; Risk Factors

The identification of oleaginous yeast species capable of simultaneously utilizing xylose and glucose as substrates to generate value-added biological products is an area of key economic interest. We have previously demonstrated that the Cutaneotrichosporon dermatisNICC30027 yeast strain is capable of simultaneously assimilating both xylose and glucose, resulting in considerable lipid accumulation. However, as no high-quality genome sequencing data or associated annotations for this strain are available at present, it remains challenging to study the metabolic mechanisms underlying this phenotype. Herein, we report a 39,305,439 bp draft genome assembly for C. dermatis NICC30027 comprised of 37 scaffolds, with 60.15% GC content. Within this genome, we identified 524 tRNAs, 142 sRNAs, 53 miRNAs, 28 snRNAs, and eight rRNA clusters. Moreover, repeat sequences totaling 1,032,129 bp in length were identified (2.63% of the genome), as were 14,238 unigenes that were 1,789.35 bp in length on average (64.82% of the genome). The NCBI non-redundant protein sequences (NR) database was employed to successfully annotate 11,795 of these unigenes, while 3,621 and 11,902 were annotated with the Swiss-Prot and TrEMBL databases, respectively. Unigenes were additionally subjected to pathway enrichment analyses using the Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Cluster of Orthologous Groups of proteins (COG), Clusters of orthologous groups for eukaryotic complete genomes (KOG), and Non-supervised Orthologous Groups (eggNOG) databases.Together, these results provide a foundation for future studies aimed at clarifying the mechanistic basis for the ability of C. dermatis NICC30027 to simultaneously utilize glucose and xylose to synthesize lipids.

Objective:To investigate the clinical and genetic features of 3-methylglutaconic aciduria, dystonia-deafness, hepatopathy, encephalopathy, Leigh-like syndrome(MEGDHEL syndrome) caused by SERAC1 gene variation. Methods:This study retrospectively described the clinical and molecular features and prognosis of a baby boy who was transferred to Children's Hospital of Fudan University and later diagnosed with MEGDHEL syndrome in August 2016. A summary of the clinical and genetic manifestations of MEGDHEL syndrome cases reported in China and foreign areas was conducted through a literature review.Results:(1) Case report: The 2-day-old patient was transferred to Children's Hospital of Fudan University due to hyperlactic acidemia after birth. Physical examination revealed scattered petechiae and ecchymoses of the skin. Laboratory examination showed coagulation disorders and cranial MRI revealed abnormal signals in both basal ganglia. A homozygous variation of c.442C>T(p.Arg148*) in the SERAC1 gene was detected in the patient, which is a pathogenic variant included in the Human Gene Mutation Database. Both of his parents were heterozygous carriers, thereby the diagnosis of MEGDHEL syndrome was confirmed. Followed up to the age of three years and 11 months, he was found to have psychomotor retardation, spasticity, dystonia, deafness, and loss of language ability. (2)Literature review: Together with the case reported in this study, a total of 88 cases were retrieved, involving 57 different variants. The clinical features were homogenous, with onset mostly in the neonatal period (72%, 62/86), and severe reversible liver dysfunction (49%, 38/77) and neonatal hypoglycemia (44%, 35/80) were the main features. Nervous system was affected since infancy and common symptoms, included hypotonia (86%, 68/79), progressive spasticity (82%, 67/82), dystonia (80%, 66/82), intellectual disability (88%, 58/66) and sensorineural hearing impairment (74%, 59/80). Furthermore, bilateral basal ganglia involvement on cranial MRI (93%,70/75) and 3-methylglutaconic aciduria (98%,80/82) were also seen. Supportive care is currently the main management, however, the prognosis is extremely poor. Conclusions:MEGDHEL syndrome should be highly suspected when reversible neonatal liver dysfunction or hypoglycemia of unknown reasons in neonatal period, followed by progressive deafness-dystonia syndrome in infancy. As the prognosis of these patients is usually poor, genetic testing may provide an early diagnosis in neonatal period.