Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Tumor cells use glycolysis to provide material and energy under hypoxic conditions to meet the energy requirements for rapid growth and proliferation， namely the Warburg effect. Even under aerobic conditions， tumor cells mainly rely on glycolysis to provide energy. Therefore， glucose transporter protein 1（GLUT1）， which is involved in the process of glucose metabolism， plays an important role in tumorigenesis， development and drug resistance， and is considered to be one of the important targets in the treatment of malignant tumors. In recent years， research on tumor glucose metabolism has gradually become a hot spot. It has been shown that various factors are involved in the regulation of tumor energy metabolism， among which the role of GLUT1 is the most critical. In this paper， the authors reviewed the latest research progress of GLUT1-targeted traditional Chinese medicine（TCM） active ingredient nano-delivery system in tumor therapy， aiming to reveal the feasibility and effectiveness of this system in the delivery of chemotherapeutic drugs. The GLUT1-targeted TCM active ingredient nano-delivery system can overcome the bottleneck of the traditional targeting strategy as well as the high-permeability long retention（EPR） effect. In summary， the authors believe that the GLUT1-targeted TCM active ingredient nano-delivery system provides a new strategy for targeted treatment of tumors and has a broad application prospect in tumor prevention and treatment.

Objective To investigate the intervention effect of Xuanfuhua decoction on mice with nonalcoholic steatohepatitis (NASH) induced by high-fat, high-fructose, and high-cholesterol diet. Methods A total of 32 male C57/BL6J mice were randomly divided into normal group, model group, Xuanfuhua decoction group, and obeticholic acid group, with 8 mice in each group. Since week 24 of modeling using high-fat, high-fructose, and high-cholesterol diet, each group was given the corresponding drug for intervention at a dose of 14.19 g/kg by gavage for the Xuanfuhua decoction group and 10 mg/kg by gavage for the obeticholic acid group and a volume of 20 mL/kg for gavage, once a day for 6 consecutive weeks. HE staining, oil red O staining, Sirius Red staining, and Masson staining were used to observe the pathological changes, lipid deposition, and collagen deposition of liver tissue; related kits were used to measure the serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and glucose, as well as the content of TG and hydroxyproline (Hyp) in liver tissue; quantitative real-time PCR was used to measure the expression of genes associated with lipid metabolism, inflammation, and fibrosis in liver tissue; immunohistochemical staining was used to observe the positive expression of F4/80 and α-SMA in liver tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the least significant difference t -test was used for further comparison between two groups. Results Compared with the normal group, the model group had significant increases in body weight, liver wet weight, and serum levels of AST, ALT, TC, TG, LDL-C and glucose (all P < 0.01). HE staining showed hepatocyte steatosis, a large number of fat vacuoles, hepatocyte ballooning degeneration, and inflammatory cell infiltration in liver tissue of the mice in the model group, and the model group had a significant increase in NAFLD activity score (NAS) compared with the normal group ( P < 0.01). Oil red O staining showed the deposition of a large number of red lipid droplets with different sizes in hepatocytes of the mice in the model group, and compared with the normal group, the model group had significant increases in the area percentage of oil red O staining and the content of TG in the liver ( P < 0.01). Sirius Red staining and Masson staining showed significant collagen fiber hyperplasia in the perisinusoidal area, the central vein, and the portal area in the model group, and the model group had a significant increase in the content of Hyp in liver tissue compared with the normal group ( P < 0.05). Compared with the model group, the Xuanfuhua decoction group had significant reductions in the serum levels of AST, ALT, TC, TG, LDL-C, and glucose (all P < 0.05), significant improvements in hepatic steatosis, inflammatory infiltration, lipid droplet deposition, and collagen fiber hyperplasia, and significant reductions in NAS score, area percentage of oil red O staining, and content of TG and Hyp in the liver (all P < 0.05). Compared with the normal group, the model group had significant increases in the mRNA expression levels of lipid metabolism-related genes (SREBP-1c, FASN, SCD-1, PPAR-γ, and CD36), inflammation-related genes (F4/80, TNF-α, CCL2, and CD11b), and the fibrosis-related gene α-SMA (all P < 0.05), and immunohistochemical staining showed significant increases in the positive expression of F4/80 and α-SMA ( P < 0.01). Compared with the model group, the Xuanfuhua decoction group had significant reductions in the mRNA expression levels of SREBP-1c, FASN, SCD-1, PPAR-γ, CD36, F4/80, TNF-α, CCL2, CD11b, and α-SMA in liver tissue (all P < 0.05), and immunohistochemical staining showed significant reductions in the positive expression of F4/80 and α-SMA ( P < 0.01). Conclusion Xuanfuhua decoction has a good intervention effect on mice with NASH induced by high fat, high fructose, and high-cholesterol diet and can significantly inhibit hepatic lipid deposition, inflammatory response, and liver fibrosis.

Humans ; Myocardial Infarction/surgery* ; Bone Marrow Transplantation ; Bone Marrow Cells ; Ventricular Function, Left

OBJECTIVE: To investigate the relationship between serum matrix metalloproteinase-1(MMP-1) and matrix metalloproteinase-2(MMP-2) and the formation of deep venous thrombosis(LDVT) in lower extremity patients after surgery for lower extremity fracture, and to analyze the value of MMP-1 and MMP-2 in predicting the occurrence of LDVT after lower extremity fracture. METHODS: From June 2018 to December 2021, 352 patients who planned to receive surgical treatment of lower limb fracture in our hospital were selected as the research objects. Venous blood was collected at 1, 2 and 3 days after surgery, respectively, and serum MMP-1 and MMP-2 levels were detected. The incidence of LDVT during hospitalization was analyzed, and the risk factors of postoperative LDVT in patients with lower limb fracture surgery and the predictive value of MMP-1 and MMP-2 for LDVT were analyzed. RESULTS: LDVT occurred in 40 patients (LDVT group), the incidence of LDVT was 11.36%, and 312 patients did not occurred(no occurred group). The serum levels of MMP-1 and MMP-2 in LDVT group increased gradually after surgery; the serum levels of MMP-1 and MMP-2 in the no occurred group increased slightly after surgery at 2 days and then decreased at 3 days after surgery (P<0.01);the serum levels of MMP-1 and MMP-2 in LDVT group were higher than those in the no occurred group at 2 days and 3 days after surgery (P<0.05). Serum levels of MMP-1 and MMP-2 were positively correlated with serum levels of interleukin-6 (IL-6), IL-8 and tumor necrosis factor -α (TNF-α) in LDVT patients at 2 days and 3 days postoperatively (P<0.05). Operative time, MMP-1 and MMP-2 postoperative 3 days were related to the occurrence of LDVT after lower limb fracture (P<0.01). The area under the curve(AUC) predicted by MMP-1 and MMP-2 postoperative 3 days for LDVT after lower limb fracture was 0.738 and 0.744 respectively, and the AUC predicted by combined MMP-1 and MMP-2 was 0.910, which was higher than that predicted by single indicator(Z=2.819 and 2.025, P<0.05). CONCLUSION High levels of MMP-1 and MMP-2 after lower extremity fracture are closely related to the occurrence of LDVT, and 3 d mMP-1 and MMP-2 after surgery maybe used as evaluation indexes for LDVT risk prediction.
Humans ; Lower Extremity/surgery* ; Matrix Metalloproteinase 1/blood* ; Matrix Metalloproteinase 2/blood* ; Risk Factors ; Venous Thrombosis/etiology* ; Fractures, Bone/surgery*

OBJECTIVE: To explore the diagnosis, treatment and genetic characteristics of a neonate with severe pulmonary hypertension and respiratory failure. METHODS: Perinatal history, clinical manifestations, laboratory finding and diagnosis and treatment data of the child were collected. Whole exome sequencing was carried out for the child, and Sanger sequencing was used to verify the candidate variants. RESULTS: The female neonate has developed progressive respiratory failure and refractory pulmonary hypertension shortly after birth. Conventional treatment such as mechanical ventilation, vasoactive drugs, and inhaled nitric oxide were ineffective. She has developed sustained pulmonary hypertension after weaning from extracorporeal membrane oxygenation therapy, and had died after the treatment had ceased. Whole exome sequencing revealed that she has harbored a heterozygous de novo variant of c.682_683insGCGGCGGC (p.G234Rfs*148) of the FOXF1 gene, which was predicted as pathogenic based on guidelines from the American College of Medical Genetics and Genomics (ACMG), with evidence items of PVS1_Strong+PM2_Supporting+PS2. Based on her clinical manifestations and result of genetic testing, the child was diagnosed with alveolar capillary dysplasia with misalignment of the pulmonary veins (ACD/MPV). CONCLUSION Discovery of the c.682_683insGCGGCGGC (p.G234 Rfs*148) variant of the FOXF1 gene has expanded the mutational spectrum of the FOXF1 gene, which has facilitated implementation of specific treatment and provided a basis for clinical diagnosis and genetic counseling.
Female ; Humans ; Child ; Infant, Newborn ; Pregnancy ; Persistent Fetal Circulation Syndrome/therapy* ; Hypertension, Pulmonary ; Pulmonary Veins ; Forkhead Transcription Factors/genetics*

Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence rate and mortality worldwide. However, most patients are not suitable for radical treatment at the time of first diagnosis. As one of the important schemes for the treatment of HCC, one of the most representative drug is Sorafenib, which has certain survival benefits for HCC patients at different stages. However, the drug resistance of HCC to Sorafenib greatly limits its efficacy. So far, people have found that some natural substances, experimental agents and biological macromolecules can reverse the drug resistance of HCC to Sorafenib through tumor cell microenvironment, metabolism and other mechanisms. This article will summarize the above substances and their mechanism in order to provide research ideas for the improvement of Sorafenib′s treatment program.