Objective:To investigate the metabolic pathways and potential molecular targets associated with dapagliflozin in the treatment of type 2 diabetes mellitus.Methods:Plasma samples from patients with type 2 diabetes mellitus were collected before and after 12 months of dapagliflozin treatment and analyzed using UPLC-VION IMS Q-Tof-based metabolomics and timsTOF Pro2 diaPASEF-based proteomics. Multivariate statistical analyses were performed to identify significant differences pre- and post-treatment. Correlation analysis was then conducted to assess relationships between differentially expressed metabolites and proteins closely associated with type 2 diabetes mellitus. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were used to construct metabolic pathway maps and predict therapeutic targets.Results:After 12 months of dapagliflozin treatment, 162 differential metabolites were identified, with 59 upregulated and 103 downregulated. A total of 440 differentially expressed proteins were detected, of which 272 were upregulated and 168 were downregulated. The main classes of differential metabolites included sphingolipids, glycerophospholipids, and glycosphingolipids. Key differentially expressed proteins included importin subunit alpha-11, synemin, Janus kinase 1, and far upstream element-binding protein 2. Correlation analysis revealed 98 shared enriched pathways between differential metabolites and proteins, involving neurotrophin signaling, chemokine signaling, and B cell receptor signaling pathways. Metabolic pathway analysis suggested that dapagliflozin might regulate insulin secretion by modulating glucose-dependent insulinotropic polypeptide, calmodulin-dependent protein kinase, and diacylglycerol levels.Conclusion:Dapagliflozin may exert therapeutic effects in type 2 diabetes mellitus through multiple mechanisms, including the modulation of metabolic and proteomic profiles, participation in key cellular signaling pathways, and regulation of insulin secretion.

Objective:To investigate the metabolic pathways and potential molecular targets associated with dapagliflozin in the treatment of type 2 diabetes mellitus.Methods:Plasma samples from patients with type 2 diabetes mellitus were collected before and after 12 months of dapagliflozin treatment and analyzed using UPLC-VION IMS Q-Tof-based metabolomics and timsTOF Pro2 diaPASEF-based proteomics. Multivariate statistical analyses were performed to identify significant differences pre- and post-treatment. Correlation analysis was then conducted to assess relationships between differentially expressed metabolites and proteins closely associated with type 2 diabetes mellitus. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were used to construct metabolic pathway maps and predict therapeutic targets.Results:After 12 months of dapagliflozin treatment, 162 differential metabolites were identified, with 59 upregulated and 103 downregulated. A total of 440 differentially expressed proteins were detected, of which 272 were upregulated and 168 were downregulated. The main classes of differential metabolites included sphingolipids, glycerophospholipids, and glycosphingolipids. Key differentially expressed proteins included importin subunit alpha-11, synemin, Janus kinase 1, and far upstream element-binding protein 2. Correlation analysis revealed 98 shared enriched pathways between differential metabolites and proteins, involving neurotrophin signaling, chemokine signaling, and B cell receptor signaling pathways. Metabolic pathway analysis suggested that dapagliflozin might regulate insulin secretion by modulating glucose-dependent insulinotropic polypeptide, calmodulin-dependent protein kinase, and diacylglycerol levels.Conclusion:Dapagliflozin may exert therapeutic effects in type 2 diabetes mellitus through multiple mechanisms, including the modulation of metabolic and proteomic profiles, participation in key cellular signaling pathways, and regulation of insulin secretion.

Objective To develop a Psychological Birth Trauma Assessment Scale and to test its reliability and validity.Methods Through literature review,semi-structured interview,expert conference,Delphi expert enquiry and preliminary investigation,a pre-test scale was formed.From March to May 2023,postpartum women from 38 hospitals of different levels in 15 provinces(Jiangsu,Anhui,Zhejiang,Fujian,Tibet,and Shanghai,etc.)were conveniently selected for investigation.The sample size of the first-round survey was 547,which was used for reliability and validity test.The sample size of the second-round survey was 550,which was used for confirmatory factor analysis.Results The psychological birth trauma assessment scale consisted of 2 parts,with a total of 29 items in 6 dimensions.The intrapartum feeling part included 4 dimensions,with a cumulative variance contribution rate of 63.992％,and the postpartum effect part included 2 dimensions,with a cumulative variance contribution rate of 68.208％.The content validity index of the scale was 0.947,and the content validity index of each item was 0.809～1.000.The total score of the scale and the scores of each dimension were significantly negatively correlated with the total score of the calibration scale(r=-0.784～-0.533,P＜0.001).The total Cronbach's α coefficient was 0.941,and the split-half reliability coefficient was 0.883.Confirmatory factor analysis showed that the main evaluation indicators were all within the acceptable range.Conclusion The Psychological Birth Trauma Assessment Scale has good reliability and validity,and it can be used as an assessment tool for the degree of maternal psychological birth trauma.

Objective:To investigate the effect of metformin on the microRNA (miRNA) expression and screen potential target with network pharmacology analysis in patients with type 2 diabetes.Methods:Fifteen patients with new diagnosed type 2 diabetes admitted to our hospital were selected, who received metformin during hospitalization and after discharge. The expression of serum matrix metalloproteinase (MMP)-9, transforming growth factor (TGF)-β1, and myocardial fibrosis related miRNAs were compared before and 6 month after metformin treatment. In addition, gene ontology (GO) and KEGG pathway enrichment analysis were applied to analyze differential expression miRNAs showing statistical significance. Meanwhile, the network figure was established to reflect the target gene messenger RNA (mRNA) corresponding to differentially expressed miRNA.Results:Compared with pre-medication, the serum level of MMP-9 was significantly decreased after treatment ( P<0.05). Besides, the expression of homo sapiens microRNA (hsa-miR)29a-3p, hsa-miR133a-5p, hsa-miR21-5p, hsa-miR30c-5p, and hsa-miR1-3p in patients with type 2 diabetes were dramatically down-regulated by metformin ( P<0.05 or P<0.01). Results of GO analysis and KEGG pathway enrichment analysis showed that differentially expressed miRNAs were mainly concentrated in endoplasmic reticulum lumen, synapse, basement membrane and other cell components. The molecular functions such as Rho GTPase binding and participation in extracellular matrix structural constituent were exerted through biological processes such as collagen catabolic process, regulation of short-term neuronal synaptic plasticity, and axon extension, which were mainly enriched in advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathway in diabetic complications, tumor necrosis factor (TNF) signaling pathway, and Wnt signaling pathway, etc. The outcome of miRNA-mRNA network analysis demonstrated that there were 230 target genes mRNAs corresponding to differentially expressed miRNA. Conclusion:Metformin could play its role in the treatment of type 2 diabetes by down regulating the expression of miRNA, participating in the transduction of related cellular signaling pathways, regulating chromatin, nucleic acid binding, and enzyme activities.

Objective:To explore the correlation between sleep duration and incident diabetes among residents of different ages in Xinjiang region.Methods:A total of 9 541 residents, aged 40 and over in Karamay, Xinjiang were identified by a cluster sampling method. Physical examinations and biochemical test were performed, and the data on sleep duration and lifestyle were obtained using standardized questionnaires. The population was divided into three categories according to sleep duration: insufficient sleep(<6 h), ideal sleep(6-8 h), and long sleep duration(>8 h). They were further divided into 2 subgroups based on age at survey. Those who were younger than 60 years old were defined as the middle-aged group, and the rest as the elderly. Multivariate logistic regression analysis was used to explore the correlation between sleep duration and the risk of diabetes in different age groups.Results:There existed an approximate U-shaped relationship between total sleep duration and fasting blood glucose as well as HbA 1C. Fasting blood glucose and HbA 1C were relatively lower among those with ideal sleep duration. After multivariable adjustment, residents with insufficient sleep revealed a 35% increased risk of diabetes( OR=1.35, 95% CI 1.06-1.71) compared with those with ideal sleep duration. However, the risk of diabetes was not significantly increased in those with long sleep duration( OR=1.04, 95% CI 0.94-1.14). Furthermore, the additive risk of insufficient sleep was only significant in the middle-aged group( OR=1.37, 95% CI 1.02-1.84). Conclusions:Among residents of different ages in Xinjiang region, insufficient sleep is associated with an increased risk of diabetes, which is only significant in the middle-aged group.

Circular RNAs (circRNAs), non-coding RNA with stable circular covalently closed structures, provide new biomarkers for the diagnosis and treatment of various diseases and play an important role in the development of tumors. Trophoblast dysfunction can cause embryo implantation failure, placental dysplasia, and insufficient vascular remodeling at the maternal-fetal interface, leading to early pregnancy loss, preeclampsia (PE), premature delivery, and fetal growth restriction (FTR). Here, we review recent research progress in circRNAs in diseases related to trophoblast dysfunction such as PE, recurrent spontaneous abortion (RSA) and FGR. In this way, we can better understand the pathogenesis of pregnancy-related diseases and come up with new ideas for their future diagnosis and treatment.

Circular RNAs (circRNAs), non-coding RNA with stable circular covalently closed structures, provide new biomarkers for the diagnosis and treatment of various diseases and play an important role in the development of tumors. Trophoblast dysfunction can cause embryo implantation failure, placental dysplasia, and insufficient vascular remodeling at the maternal-fetal interface, leading to early pregnancy loss, preeclampsia (PE), premature delivery, and fetal growth restriction (FTR). Here, we review recent research progress in circRNAs in diseases related to trophoblast dysfunction such as PE, recurrent spontaneous abortion (RSA) and FGR. In this way, we can better understand the pathogenesis of pregnancy-related diseases and come up with new ideas for their future diagnosis and treatment.

Tung tree (Vernicia fordii) is an economically important woody oil plant that produces tung oil rich in eleostearic acid. Here, we report a high-quality chromosome-scale genome sequence of tung tree. The genome sequence was assembled by combining Illumina short reads, Pacific Bio-sciences single-molecule real-time long reads, and Hi-C sequencing data. The size of tung tree gen-ome is 1.12 Gb, with 28,422 predicted genes and over 73％ repeat sequences. The V. fordii underwent an ancient genome triplication event shared by core eudicots but no further whole-genome duplication in the subsequent ca. 34.55 million years of evolutionary history of the tung tree lineage. Insertion time analysis revealed that repeat-driven genome expansion might have arisen as a result of long-standing long terminal repeat retrotransposon bursts and lack of efficient DNA deletion mechanisms. The genome harbors 88 resistance genes encoding nucleotide-binding sites;17 of these genes may be involved in early-infection stage of Fusarium wilt resistance. Further, 651 oil-related genes were identified, 88 of which are predicted to be directly involved in tung oil biosynthesis. Relatively few phosphoenolpyruvate carboxykinase genes, and synergistic effectsbetween transcription factors and oil biosynthesis-related genes might contribute to the high oil content of tung seed. The tung tree genome constitutes a valuable resource for understanding genome evolution, as well as for molecular breeding and genetic improvements for oil production.

Staphylococcus aureus (S. aureus) is an important human pathogen which can cause a chronic condition with a high relapse rate despite the aggressive antimicrobial treatment. Recent studies showed that intracellular pattern recognition receptors (including NOD) in response to bacteria or bacterial products play a proinflammatory role by activating nuclear transcription factor-κB (NF-κB). But how NOD2 mediates the proinflammatory response to S. aureus in mast cells (MCs) is unclear. So, in this study, we attempted to examine the role of NOD2 in inflammatory responses of MCs to S. aureus. P815 cells (a mouse mast cell line) were cultured. Real-time PCR was used to detect the NOD2 mRNA expression in P815 cells during S. aureus infection. The siRNA against NOD2 gene was synthesized and transfected into S. aureus-infected P815 cells. By using the methods of ELISA and flow cytometry, the effects of NOD2 gene silencing on cell phagocytosis, cytokine secretion, NF-κB activation and cell apoptosis of the S. aureus-infected P815 cells were examined. It was found that S. aureus infection could increase the expression of NOD2 mRNA in P815 cells. NOD2 gene interference in P815 cells reduced the number of S. aureus engulfed by P815 cells, the level of cytokines and the activation of NF-κB. In addition, S. aureus could induce the apoptosis of P815 cells, but NOD2 gene silencing did not affect the cell apoptosis rate. Our data suggested that NOD2 plays a key role in pathogen recognition, signal transduction, and NF-κB activation in the inflammatory responses of MCs infected by S. aureus.
Animals ; Cell Line ; Cytokines ; immunology ; Inflammation Mediators ; immunology ; Mast Cells ; immunology ; microbiology ; Mice ; NF-kappa B ; immunology ; Nod2 Signaling Adaptor Protein ; immunology ; Staphylococcus aureus ; physiology

Staphylococcus aureus (S. aureus) is an important human pathogen which can cause a chronic condition with a high relapse rate despite the aggressive antimicrobial treatment. Recent studies showed that intracellular pattern recognition receptors (including NOD) in response to bacteria or bacterial products play a proinflammatory role by activating nuclear transcription factor-κB (NF-κB). But how NOD2 mediates the proinflammatory response to S. aureus in mast cells (MCs) is unclear. So, in this study, we attempted to examine the role of NOD2 in inflammatory responses of MCs to S. aureus. P815 cells (a mouse mast cell line) were cultured. Real-time PCR was used to detect the NOD2 mRNA expression in P815 cells during S. aureus infection. The siRNA against NOD2 gene was synthesized and transfected into S. aureus-infected P815 cells. By using the methods of ELISA and flow cytometry, the effects of NOD2 gene silencing on cell phagocytosis, cytokine secretion, NF-κB activation and cell apoptosis of the S. aureus-infected P815 cells were examined. It was found that S. aureus infection could increase the expression of NOD2 mRNA in P815 cells. NOD2 gene interference in P815 cells reduced the number of S. aureus engulfed by P815 cells, the level of cytokines and the activation of NF-κB. In addition, S. aureus could induce the apoptosis of P815 cells, but NOD2 gene silencing did not affect the cell apoptosis rate. Our data suggested that NOD2 plays a key role in pathogen recognition, signal transduction, and NF-κB activation in the inflammatory responses of MCs infected by S. aureus.