Objective: To study the impact of disaggregation on the quality of in vitro aggregated apheresis platelets. Methods: The apheresis platelets collected from Guangzhou Blood Center served as the study samples. The in vitro aggregated apheresis platelets after successful disaggregation were designated as the experimental group (referred to as the aggregation group), and apheresis platelets without in vitro aggregation during collection served as the control group. The product volume, platelet content, residual white blood cells, red blood cell contamination, pH value, CD62p expression rate, platelet morphology score and thromboelastography of both groups were respectively detected. Results: The routine quality control indicators such as product volume, platelet content, residual white blood cells, red blood cell contamination, and pH value of both groups all met the quality requirements. There were statistically significant differences in pH value (7.180 vs 7.071) between the two groups (P<0.05). There was no significant difference in product volume, platelet content, residual white blood cells, and red blood cell contamination between the two groups (P>0.05). The CD62p expression rate of the aggregation group was higher than that of the control group (42.386% vs 17.310%, P<0.05), while the cell morphology score of the aggregation group was lower than that of the control group (132.066 vs 141.166, P<0.05). No statistically significant differences were found in thromboelastography parameters (R-CK, K-CK, α angle, MA-CK, CI-CK) between the two groups (P>0.05). Conclusion: After the disaggregation of in vitro-aggregated apheresis platelets, the quality indicators met the national quality requirements. Although the expression rate of CD62p increased and the cell morphology score decreased, there were no statistically significant differences in the thromboelastography parameters between the two groups. This indicates that although some platelet activation occurred, it did not affect the hemostatic function of the platelets.

Objective:To compare the clinical efficacy and safety of bronchial artery chemoembolization (BACE) combined with anlotinib (BACE+A) versus BACE alone in patients with stage III-IV non-small cell lung cancer (NSCLC).Methods:A total of 94 patients with advanced NSCLC treated at six interventional centers between November 2020 and November 2021 were retrospectively enrolled. Patients were divided into the BACE+A group ( n=46) and the BACE alone group ( n=48) based on treatment regimen. Baseline and perioperative clinical data were collected and compared between the two groups. Treatment response was evaluated using the modified Response Evaluation Criteria in Solid Tumors (mRECIST) at 1, 6, and 12 months after the first BACE procedure. Objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and treatment-related adverse events (AEs) were recorded. Kaplan-Meier survival curves were plotted to compare median OS and PFS between groups. Cox proportional hazards regression analysis was used to identify factors influencing OS and PFS. Results:The Kaplan-Meier analysis showed that the median OS was significantly longer in the BACE+A group (18.8 months, 95% CI 16.3-21.3) than in the BACE group (13.4 months, 95% CI 11.6-15.2) ( P=0.001). The median PFS was also significantly longer in the BACE+A group (9.0 months, 95% CI 7.3-10.7) compared to the BACE group (6.1 months, 95% CI 4.9-7.3) ( P=0.001). At 6 and 12 months post-first BACE, the ORR (43.5%, 40.0%) and DCR (89.1%, 83.3%) were significantly higher in the BACE+A group than in the BACE group (ORR: 20.8%, 14.8%; DCR: 66.7%, 59.3%) (all P<0.05). Multivariate Cox regression identified treatment with BACE+A ( HR=0.42, 95% CI 0.27-0.72, P=0.002), tumor stage ( HR=1.80, 95% CI 1.05-3.07, P=0.031), presence of pre-existing complications requiring intervention ( HR=2.72, 95% CI 1.65-4.50, P<0.001), and >2 BACE procedures ( HR=0.32, 95% CI 0.15-0.68, P=0.003) as independent factors influencing OS. Treatment with BACE+A ( HR=0.49, 95% CI 0.32-0.76, P=0.001), tumor stage ( HR=1.72, 95% CI 1.07-2.77, P=0.025), multi-arterial tumor blood supply ( HR=2.76, 95% CI 1.76-4.31, P<0.001), and>2 BACE procedures ( HR=0.40, 95% CI 0.22-0.71, P=0.002) were independent factors influencing PFS. There was no significant difference in BACE-related adverse events between the two groups (all P>0.05). Hypertension, fatigue, hand-foot syndrome, and anorexia were common anlotinib-specific adverse reactions in the combination group, but no grade 4 or higher adverse reactions were observed. Conclusions:BACE combined with anlotinib demonstrates superior efficacy compared to BACE alone in treating advanced NSCLC, significantly prolonging OS and PFS. The safety profile is manageable, with adverse events remaining within tolerable limits.

Background and purpose:The aberrant activation of pyruvate dehydrogenase kinase 1(PDK1)drives tumor microenvironment remodeling and metastasis through mediating the Warburg effect.As a critical tumor-suppressive phosphatase,phosphatase and tensin homolog deleted on chromoseme ten(PTEN)activates PDK1 via loss of expression to induce aerobic glycolysis and accelerate tumor progression.The molecular interplay between PDK1 and PTEN in kidney renal clear cell carcinoma(KIRC)urgently requires systematic elucidation.This study aimed to clarify how PTEN regulates PDK1 to inhibit malignant phenotypes in KIRC.Methods:Bioinformatics analysis was conducted to compare PTEN and PDK1 expression levels as well as their prognostic correlations in the Cancer Genome Atlas(TCGA)-KIRC datasets.KIRC cell models was established by either silencing PDK1 or enhancing its expression,subsequently evaluating their malignancy characteristics through cell counting kit-8(CCK-8)proliferation,colony formation,cell migration,and invasion assays.To validate the regulatory interactions,we used PDK1-overexpressing cells treated with a PTEN-specific inhibitor.Western blot was used to dectect the protein expression.Results:The TCGA-KIRC analysis found significantly higher mRNA levels of PTEN and PDK1 in tumor tissues compared to normal controls(P＜0.05),yet this high expression was associated with improved overall survival(P＜0.01).Besides,a strong positive correlation was observed between PTEN and PDK1 expressions(r=0.52,P＜0.001).Functional assays demonstrated that PDK1 knockdown markedly promoted cell proliferation,migration,and invasion,whereas PDK1 overexpression exhibited opposing effects.Mechanistically,inhibiting PTEN worsened malignant behaviors(P＜0.01),however,these effects were reversed by overexpressing PDK1.Conclusion:This study presents the first evidence of the dual tumor-suppressive function of the PTEN-PDK1 biological axis in renal cancer,which supports the development of precision treatment strategies based on novel targets.

Objective:To compare the clinical efficacy and safety of bronchial artery chemoembolization (BACE) combined with anlotinib (BACE+A) versus BACE alone in patients with stage III-IV non-small cell lung cancer (NSCLC).Methods:A total of 94 patients with advanced NSCLC treated at six interventional centers between November 2020 and November 2021 were retrospectively enrolled. Patients were divided into the BACE+A group ( n=46) and the BACE alone group ( n=48) based on treatment regimen. Baseline and perioperative clinical data were collected and compared between the two groups. Treatment response was evaluated using the modified Response Evaluation Criteria in Solid Tumors (mRECIST) at 1, 6, and 12 months after the first BACE procedure. Objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and treatment-related adverse events (AEs) were recorded. Kaplan-Meier survival curves were plotted to compare median OS and PFS between groups. Cox proportional hazards regression analysis was used to identify factors influencing OS and PFS. Results:The Kaplan-Meier analysis showed that the median OS was significantly longer in the BACE+A group (18.8 months, 95% CI 16.3-21.3) than in the BACE group (13.4 months, 95% CI 11.6-15.2) ( P=0.001). The median PFS was also significantly longer in the BACE+A group (9.0 months, 95% CI 7.3-10.7) compared to the BACE group (6.1 months, 95% CI 4.9-7.3) ( P=0.001). At 6 and 12 months post-first BACE, the ORR (43.5%, 40.0%) and DCR (89.1%, 83.3%) were significantly higher in the BACE+A group than in the BACE group (ORR: 20.8%, 14.8%; DCR: 66.7%, 59.3%) (all P<0.05). Multivariate Cox regression identified treatment with BACE+A ( HR=0.42, 95% CI 0.27-0.72, P=0.002), tumor stage ( HR=1.80, 95% CI 1.05-3.07, P=0.031), presence of pre-existing complications requiring intervention ( HR=2.72, 95% CI 1.65-4.50, P<0.001), and >2 BACE procedures ( HR=0.32, 95% CI 0.15-0.68, P=0.003) as independent factors influencing OS. Treatment with BACE+A ( HR=0.49, 95% CI 0.32-0.76, P=0.001), tumor stage ( HR=1.72, 95% CI 1.07-2.77, P=0.025), multi-arterial tumor blood supply ( HR=2.76, 95% CI 1.76-4.31, P<0.001), and>2 BACE procedures ( HR=0.40, 95% CI 0.22-0.71, P=0.002) were independent factors influencing PFS. There was no significant difference in BACE-related adverse events between the two groups (all P>0.05). Hypertension, fatigue, hand-foot syndrome, and anorexia were common anlotinib-specific adverse reactions in the combination group, but no grade 4 or higher adverse reactions were observed. Conclusions:BACE combined with anlotinib demonstrates superior efficacy compared to BACE alone in treating advanced NSCLC, significantly prolonging OS and PFS. The safety profile is manageable, with adverse events remaining within tolerable limits.

Background and purpose:The aberrant activation of pyruvate dehydrogenase kinase 1(PDK1)drives tumor microenvironment remodeling and metastasis through mediating the Warburg effect.As a critical tumor-suppressive phosphatase,phosphatase and tensin homolog deleted on chromoseme ten(PTEN)activates PDK1 via loss of expression to induce aerobic glycolysis and accelerate tumor progression.The molecular interplay between PDK1 and PTEN in kidney renal clear cell carcinoma(KIRC)urgently requires systematic elucidation.This study aimed to clarify how PTEN regulates PDK1 to inhibit malignant phenotypes in KIRC.Methods:Bioinformatics analysis was conducted to compare PTEN and PDK1 expression levels as well as their prognostic correlations in the Cancer Genome Atlas(TCGA)-KIRC datasets.KIRC cell models was established by either silencing PDK1 or enhancing its expression,subsequently evaluating their malignancy characteristics through cell counting kit-8(CCK-8)proliferation,colony formation,cell migration,and invasion assays.To validate the regulatory interactions,we used PDK1-overexpressing cells treated with a PTEN-specific inhibitor.Western blot was used to dectect the protein expression.Results:The TCGA-KIRC analysis found significantly higher mRNA levels of PTEN and PDK1 in tumor tissues compared to normal controls(P＜0.05),yet this high expression was associated with improved overall survival(P＜0.01).Besides,a strong positive correlation was observed between PTEN and PDK1 expressions(r=0.52,P＜0.001).Functional assays demonstrated that PDK1 knockdown markedly promoted cell proliferation,migration,and invasion,whereas PDK1 overexpression exhibited opposing effects.Mechanistically,inhibiting PTEN worsened malignant behaviors(P＜0.01),however,these effects were reversed by overexpressing PDK1.Conclusion:This study presents the first evidence of the dual tumor-suppressive function of the PTEN-PDK1 biological axis in renal cancer,which supports the development of precision treatment strategies based on novel targets.

Objective:To analyze the changes rule of serum procalcitonin (PCT) levels in patients with traumatic brain injury in plateau areas, and to evaluate its value in assessing the severity and prognosis of the patients.Methods:A prospective cohort study was conducted. The patients with traumatic brain injury admitted to the critical care medicine departments of Xining Third People's Hospital (at an altitude of 2 260 metres) and Golmud City People's Hospital (at an altitude of 2 780 metres) from May 2018 to September 2022 were enrolled. According to the Glasgow coma scale (GCS) score at admission, the patients were divided into mild injury group (GCS score 13-15), severe injury group (GCS score 9-12), and critical injury group (GCS score 3-8). All patients received active treatment. Chemiluminescence immunoassay was used to measure the serum PCT levels of patients on the 1st, 3rd, 5th, and 7th day of admission. The Kendall tau-b correlation method was used to analyze the correlation between serum PCT levels at different time points and the severity of the disease. The patients were followed up until October 30, 2022. The prognosis of the patients was collected. The baseline data of patients with different prognosis were compared. The Cox regression method was used to analyze the relationship between baseline data, serum PCT levels at different time points and prognosis. Receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of serum PCT levels at different time points for death during follow-up.Results:Finally, a total of 120 patients with traumatic brain injury were enrolled, including 52 cases in the mild injury group, 40 cases in the severe injury group, and 28 cases in the critical injury group. The serum PCT levels of patients in the mild injury group showed a continuous downward trend with the prolongation of admission time. The serum PCT levels in the severe injury and critical injury groups reached their peak at 3 days after admission, and were significantly higher than those in the mild injury group (μg/L: 3.53±0.68, 4.47±0.63 vs. 0.40±0.14, both P < 0.05), gradually decreasing thereafter, but still significantly higher than the mild injured group at 7 days. Kendall tau-b correlation analysis showed that there was a significant positive correlation between serum PCT levels on days 1, 3, 5, and 7 of admission and the severity of disease ( r value was 0.801, 0.808, 0.766, 0.528, respectively, all P < 0.01). As of October 30, 2022, 92 out of 120 patients with traumatic brain injury survived and 28 died, with a mortality of 23.33%. Compared with the survival group, the GCS score, serum interleukin-6 (IL-6) levels, white blood cell count (WBC) in peripheral blood, and PCT levels in cerebrospinal fluid at admission in the death group were significantly increased [GCS score: 5.20±0.82 vs. 4.35±0.93, IL-6 (ng/L): 1.63±0.45 vs. 0.95±0.27, blood WBC (×10 9/L): 14.31±2.03 vs. 11.95±1.98, PCT in cerebrospinal fluid (μg/L): 11.30±1.21 vs. 3.02±0.68, all P < 0.01]. The serum PCT levels of patients in the survival group showed a continuous downward trend with prolonged admission time. The serum PCT level in the death group peaked at 3 days after admission and was significantly higher than that in the survival group (μg/L: 4.11±0.62 vs. 0.52±0.13, P < 0.01), gradually decreasing thereafter, but still significantly higher than the survival group at 7 days. Cox regression analysis showed that serum IL-6 levels [hazard ratio ( HR) = 17.347, 95% confidence interval (95% CI) was 5.874-51.232], WBC in peripheral blood ( HR = 1.383, 95% CI was 1.125-1.700), PCT levels in cerebrospinal fluid ( HR = 1.952, 95% CI was 1.535-2.482) at admission and serum PCT levels on admission days 1, 3, 5, and 7 [ HR (95% CI) was 6.776 (1.844-24.906), 1.840 (1.069-3.165), 3.447 (1.284-9.254), and 6.666 (1.214-36.618), respectively] were independent risk factors for death during follow-up in patients with traumatic brain injury (all P < 0.05). ROC curve analysis showed that the AUC of serum PCT levels on days 1, 3, 5, and 7 for predicting death during follow-up in patients with traumatic brain injury was all > 0.8 [AUC (95% CI) was 0.898 (0.821-0.975), 0.800 (0.701-0.899), 0.899 (0.828-0.970), 0.865 (0.773-0.958), respectively], indicating ideal predictive value. The optimal cut-off value for serum PCT level at 3 days of admission was 1.88 μg/L, with the sensitivity of 78.6% and specificity of 88.0% for predicting death during follow-up. Conclusions:Abnormal expression of serum PCT levels in patients with traumatic brain injury on the 3rd day of admission was found. The serum PCT levels greater than 3 μg/L may be related to severe illness. The serum PCT levels greater than 1.88 μg/L can predict the poor prognosis of patients. Dynamic observation of changes in serum PCT levels has good evaluation value for the severity and prognosis of patients with traumatic brain injury in plateau areas.

To examine the molecular epidemiology of carbapenem-resistant Klebsiella pneumoniae (CRKP) and investigate the horizontal transmission of blaKPC and blaNDM genes for the prevention and treatment of CRKP. A total of 49 clinically isolated CRKP strains were retrospectively analyzed from January to December 2022 at The First Hospital of Hunan University of Chinese Medicine. Phenotypic screening was performed using modified carbapenem inactivation assay (mCIM) and EDTA-carbapenem inactivation assay (eCIM). Polymerase chain reaction (PCR) was utilized to identify carbapenem resistance genes, β-lactamase resistance genes, and virulence genes, while multi-locus sequence analysis (MLST) was employed to assess the homology of CRKP strains. Conjugation experiments were conducted to infer the horizontal transmission mechanism of blaKPC and blaNDM genes. The results showed that the study included 49 CRKP strains, with 44 carrying blaKPC and 8 carrying blaNDM, Three strains were identified as blaKPC+ blaNDM-CRKP. In this study, 28 out of 49 CRKP strains (57.2%) were found to carry virulence genes. Additionally, one CRKP strain tested positive in the string test and was found to carry both Aerobactin and rmpA virulence genes. MLST results revealed a total of 5 ST types, with ST11 being predominant (41/49, 83.7%). Successful conjugation was observed in all 3 blaKPC-CRKP strains, while only 1 out of 3 blaNDM-CRKP strains showed successful conjugation. The transconjugant exhibited significantly reduced susceptibility to imipenem and cephalosporin antibiotics. In conclusion, the resistance mechanism of CRKP in this study is primarily attributed to the production of KPC enzymes, along with the presence of multiple β-lactamase resistance genes. Additionally, there is a local prevalence of hv-CRKP and blaKPC+ blaNDM-CRKP. blaKPC and blaNDM can be horizontally transmitted through plasmids, with varying efficiency among different strains.

To examine the molecular epidemiology of carbapenem-resistant Klebsiella pneumoniae (CRKP) and investigate the horizontal transmission of blaKPC and blaNDM genes for the prevention and treatment of CRKP. A total of 49 clinically isolated CRKP strains were retrospectively analyzed from January to December 2022 at The First Hospital of Hunan University of Chinese Medicine. Phenotypic screening was performed using modified carbapenem inactivation assay (mCIM) and EDTA-carbapenem inactivation assay (eCIM). Polymerase chain reaction (PCR) was utilized to identify carbapenem resistance genes, β-lactamase resistance genes, and virulence genes, while multi-locus sequence analysis (MLST) was employed to assess the homology of CRKP strains. Conjugation experiments were conducted to infer the horizontal transmission mechanism of blaKPC and blaNDM genes. The results showed that the study included 49 CRKP strains, with 44 carrying blaKPC and 8 carrying blaNDM, Three strains were identified as blaKPC+ blaNDM-CRKP. In this study, 28 out of 49 CRKP strains (57.2%) were found to carry virulence genes. Additionally, one CRKP strain tested positive in the string test and was found to carry both Aerobactin and rmpA virulence genes. MLST results revealed a total of 5 ST types, with ST11 being predominant (41/49, 83.7%). Successful conjugation was observed in all 3 blaKPC-CRKP strains, while only 1 out of 3 blaNDM-CRKP strains showed successful conjugation. The transconjugant exhibited significantly reduced susceptibility to imipenem and cephalosporin antibiotics. In conclusion, the resistance mechanism of CRKP in this study is primarily attributed to the production of KPC enzymes, along with the presence of multiple β-lactamase resistance genes. Additionally, there is a local prevalence of hv-CRKP and blaKPC+ blaNDM-CRKP. blaKPC and blaNDM can be horizontally transmitted through plasmids, with varying efficiency among different strains.

Circular RNA(circRNA)is a novel class of endogenous non-coding RNA with complex biological func-tions,participating in various physiological and pathological processes.Due to their relatively stable stucture and tissue-specific and temporal expression patterns,circRNA have become a recent focus of biomedical research.Heart failure(HF)is characterized by impaired ventricular filling and/or ejection function caused by primary myocardial injury and car-diac overload,leading to the inability of the heart to meet the metabolic demands of the body's tissues.It is the end stage of numerous cardiac diseases.Studies have found that circRNA may play a crucial regulatory role in the progression of HF,particularly in cardiomyocyte hypertrophy,cardiomyocyte apoptosis,autophagy and myocardial fibrosis.This review summarizes the formation,classification,functional forms,and roles in HF of circRNA,aiming to provide new insights for the prevention and treatment of HF.

Objective:To establish a carbohydrate metabolism-related genes(CRGs)prognostic model for clear cell renal cell carcinoma(ccRCC)and investigate its clinical value.Methods:ccRCC mRNA expression data were sourced from The Cancer Genome Atlas(TCGA)data-base.CRGs were retrieved from the MSigDB and KEGG databases.A prognostic model based on CRGs was constructed using the LASSO lin-ear regression model,and the risk score(RS)was calculated.Patients were assigned into high-and low-risk groups according to the median RS.Differences in survival,immune infiltration,mutation,and immune response between the two groups were analyzed using Kaplan-Meier curves and bioinformatics methods.Constructing a nomogram based on the RS and clinical features and validating its accuracy of prognostic predictions.The expression of CRGs in the ccRCC samples was detected using RT-qPCR.Results:A total of eight key genes were utilized to construct a prognostic risk model for ccRCC.Survival analysis revealed that patients in the low-risk group had a better prognosis(P<0.001).Bioinformatics analysis showed that the RS correlated with immune cell infiltration,mutation,and immune responses.The nomogram based on the RS and clinical features demonstrated a strong predictive ability for prognosis.In vitro experiments confirmed notable differences in the expression of the eight CRGs between ccRCC and adjacent non-malignant tissues.Conclusions:A prognostic model based on CRGs can effectively predict the prognosis of patients with ccRCC.