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.

Nigella sativa L. seeds have been traditionally utilized in Chinese folk medicine for centuries to treat vitiligo. This study revealed that the ethanolic extract of Nigella sativa L. (HZC) enhances melanogenesis and mitigates oxidative stress-induced cellular senescence and dysfunction in melanocytes. In accordance with established protocols, the ethanol fraction from Nigella sativa L. seeds was extracted, concentrated, and lyophilized to evaluate its herbal effects via 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays, tyrosinase activity evaluation, measurement of cellular melanin contents, scratch assays, senescence-associated β-galactosidase (SA-β-gal) staining, enzyme-linked immunosorbent assay (ELISA), and Western blot analysis for expression profiling of experimentally relevant proteins. The results indicated that HZC significantly enhanced tyrosinase activity and melanin content while notably increasing the protein expression levels of Tyr, Mitf, and gp100 in B16F10 cells. Furthermore, HZC effectively mitigated oxidative stress-induced cellular senescence, improved melanocyte condition, and rectified various functional impairments associated with melanocyte dysfunction. These findings suggest that HZC increases melanin synthesis in melanocytes through the activation of the MAPK, PKA, and Wnt signaling pathways. In addition, HZC attenuates oxidative damage induced by H₂O₂ therapy by activating the nuclear factor E2-related factor 2-antioxidant response element (Nrf2-ARE) pathway and enhancing the activity of downstream antioxidant enzymes, thus preventing premature senescence and dysfunction in melanocytes.
Oxidative Stress/drug effects* ; Melanocytes/cytology* ; Cellular Senescence/drug effects* ; Nigella sativa/chemistry* ; Plant Extracts/pharmacology* ; Seeds/chemistry* ; Mice ; Animals ; Melanins/metabolism* ; Monophenol Monooxygenase/metabolism* ; Humans

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.

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

Objective:To investigate the clinical characteristics and predisposing factors associated with preoperative anemia in adult femoral shaft fractures.Methods:A retrospective analysis of clinical data from 157 patients presenting with femoral shaft fractures admitted to the department of orthopedics at Nanjing Drum Tower Hospital between June 2018 and June 2022 was conducted. The study cohort comprised 106 males and 51 females, with an average age of 45.06 ± 14.32 years (range: 18-65 years). Based on hemoglobin levels measured within 2 days of admission, patients were stratified into two groups: anemia group (Hb<120 g/L in adult males and Hb<110 g/L in adult females) and non-anemia group. General demographic information, AO fracture types, and clinical characteristics, as well as the results of laboratory examinations for both groups were collected. Subsequently, univariate and multivariate logistic regression analyses were conducted.Results:Out of the 157 patients with femoral shaft fractures, 118 (75.2%) exhibited preoperative anemia (the anemia group). Among them, 75 cases were male, and 43 cases were female, with an average age of 45.84±14.23 years (range: 18-65 years). In terms of fracture AO type, 41 cases were classified as 32A, 19 as 32B, and 58 as 32C. Regarding fracture location, 14 were situated in the upper 1/3 of the femoral shaft, 67 in the middle 1/3, and 37 in the lower 1/3. The causes of injury included 63 cases of motor vehicle accidents, 5 cases of blunt trauma, 40 cases of falls, and 10 cases of other falls, with 65 cases involving multiple injuries. Conversely, 39 patients (24.8%) did not exhibit preoperative anemia (the non-anemia group). Of these, 31 were male, and 8 were female, with an average age of 42.72 ± 14.51 years (range: 19-65 years). In terms of fracture AO type, 24 cases were classified as 32A, 5 as 32B, and 10 as 32C. Regarding fracture location, 3 were situated in the upper 1/3 of the femoral shaft, 19 in the middle 1/3, and 17 in the lower 1/3. The causes of injury included 13 cases of motor vehicle accidents, 5 cases of blunt trauma, 20 cases of falls, and 1 other fall, with 8 cases involving multiple injuries. Univariate analysis revealed statistically significant differences between preoperative anemia and AO fracture type, mechanism of injury, multiple injuries, time from injury to hospital admission, albumin levels, and age ( P< 0.05). Multifactorial logistic regression analysis identified AO type 32C ( OR=3.12, P=0.020), blunt trauma injuries ( OR=0.13, P=0.021), reduced albumin levels ( OR=9.90, P=0.037), and multiple injuries ( OR=3.65, P=0.016) as risk factors for preoperative anemia. Multifactorial logistic regression further revealed that multiple injuries ( OR=5.20, P=0.004) and reduced albumin levels ( OR=5.47, P=0.001) were risk factors for the severity of anemia. Conclusion:AO type 32C fractures, blunt trauma injuries, reduced albumin levels, and multiple injuries were identified as potential contributors to the development of preoperative anemia, with multiple injuries and reduced albumin levels exacerbating the severity of anemia. Clinicians should be vigilant for the occurrence of preoperative anemia in adult femoral shaft fracture patients, particularly those with blunt trauma injuries, multiple injuries, hypoalbuminemia, and AO type 32C fractures.

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*