AIM:To investigate the molecular mechanisms of KG-1 cell proliferation by profiling its responses to various protein kinase inhibitors.METHODS:CCK-8 assay,real time quantitative PCR(qRT-PCR)and Western-blot were used to detect the effect of various protein kinase inhibitors on KG-1 cell proliferation,the expression levels of mRNA and phosphorylation level of signaling pro-teins in the FGFR1 downstream pathways.RE-SULTS:NVP-BGJ398 and PD173074 effectively in-hibited the proliferation of KG-1 cells,indicative of a crucial role of FGFR downstream signaling.After treatment with FGFR inhibitors,the levels of p-FG-FR1OP2-FGFR1 and p-STAT5 decreased significantly(P<0.001),p-AKT decreased slightly(P<0.05),with-out affecting the p-ERK level(P>0.05).CONCLU-SION:FGFR1OP2-FGFR1 mainly acts on the down-stream STAT5 signaling pathway to promote cell proliferation.Comprehensive protein kinase inhibi-tion analysis is a reliable and direct approach to identify functional drivers of cancer cell prolifera-tion.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

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 ; Early Detection of Cancer ; Endoscopy ; Esophageal Neoplasms/epidemiology* ; Risk Factors ; Mass Screening

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Most α2-AR agonists derived from dexme-detomidine have few structure differences between them and have no selectivity for α2A/2B-AR or Gi/Gs,that can lead to the side effect of drugs.To get novel and potent α2A-AR agonists,we built the homology model for human α 2A-AR and α2B-AR to find α2A-AR agonists with higher selectivity.Compound P300-2342 and its 3 analogs sig-nificantly decreased the locomotor activity of mice(P＜0.05).Furthermore,P300-2342 and its 3 analogs inhibited the binding of[3H]rauwolscine to α 2A-AR and α 2B-AR respectively.In α2A-AR-HEK293 cells,P300-2342 decre-ased forskolinstimulatedcAMPpruductionwithoutincreas-ing cAMP pruduction,that indicated the P300-2342 acti-vating α2A-AR coupling with Gαi/o pathway without Gαs coupling.P300-2342 had no agonistic and antagonistic activities on α 2B-AR.Similar results were shown in 3 analogs of P300-2342.The docking results showed that P300-2342 formed the π-hydrogen bonds with Y394,V114 of α2A-AR,and with V93 of α2B-AR.3 analogs of P300-2342 formed several π-hydrogen bonds with V114,Y196,F390 of α 2A-AR and with V93 of α 2B-AR.We believe that these molecules can serve as leads for fur-ther optimization of α2A-AR agonists with potentially few side effects.

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*