Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Objective:To analyze the gene mutation spectrum of children with T-acute lymphoblastic leukemia (T-ALL) using next generation sequencing technology and to evaluate the value of gene mutations in prognosis stratification.Methods:A case series analysis was made.The clinical data of newly diagnosed pediatric T-ALL patients in the First Affiliated Hospital of Zhengzhou University from January 1, 2019 to February 29, 2024 were analyzed retrospectively.T-ALL gene mutations were analyzed.The relationships of gene mutations with clinical features and induction of responses to therapy were studied.The effects of gene mutations on overall survival (OS) and event-free survival (EFS) were examined by the Kaplan-Meier method and COX regression model.Results:A total of 80 newly diagnosed pediatric T-ALL patients were enrolled in the study, with a male-to-female ratio of 3.4∶1.0 and a median age of 8 (range, 2-17) years.A total of 57 mutations were detected in 74 patients, 46.2% (37/74) of whom showed 3 or more gene mutations.The coexistence of mutated genes was obvious. PTEN mutations were more prevalent in male patients ( P=0.018).Initial leukocyte counts were higher in patients with PTEN mutations ( P=0.038) and lower in patients with JAK3 mutations ( P=0.002).Patients with NOTCH1 mutations had a higher positive rate of fusion genes ( P=0.043).Patients with PTEN mutations had a higher rate of minimal residual disease(MRD) remission after 15/19 d of treatment with induction therapy, respectively ( P=0.013).The rate of MRD remission after 33/46 d of treatment with induction therapy was higher in patients with the FBXW7 mutation ( P=0.004) and lower in patients with JAK3 mutations ( P=0.003).Multifactorial COX regression analysis showed that IL7R mutation and three or more gene mutations were independent risk factors for OS and EFS in T-ALL patients(OS: HR=3.252, 7.357, 95% CI: 1.020-10.372, 1.646-32.882; EFS: HR=3.372, 3.009, 95% CI: 1.234-9.214, 1.174-7.708; all P<0.05). Conclusions:Gene mutations are prevalent in T-ALL children and correlate with clinical manifestations and prognosis.The coexistence of mutated genes is obvious.Pediatric T-ALL patients with IL7R mutations and three or more gene mutations have a poorer prognosis.

Objective:To analyze the gene mutation spectrum of children with T-acute lymphoblastic leukemia (T-ALL) using next generation sequencing technology and to evaluate the value of gene mutations in prognosis stratification.Methods:A case series analysis was made.The clinical data of newly diagnosed pediatric T-ALL patients in the First Affiliated Hospital of Zhengzhou University from January 1, 2019 to February 29, 2024 were analyzed retrospectively.T-ALL gene mutations were analyzed.The relationships of gene mutations with clinical features and induction of responses to therapy were studied.The effects of gene mutations on overall survival (OS) and event-free survival (EFS) were examined by the Kaplan-Meier method and COX regression model.Results:A total of 80 newly diagnosed pediatric T-ALL patients were enrolled in the study, with a male-to-female ratio of 3.4∶1.0 and a median age of 8 (range, 2-17) years.A total of 57 mutations were detected in 74 patients, 46.2% (37/74) of whom showed 3 or more gene mutations.The coexistence of mutated genes was obvious. PTEN mutations were more prevalent in male patients ( P=0.018).Initial leukocyte counts were higher in patients with PTEN mutations ( P=0.038) and lower in patients with JAK3 mutations ( P=0.002).Patients with NOTCH1 mutations had a higher positive rate of fusion genes ( P=0.043).Patients with PTEN mutations had a higher rate of minimal residual disease(MRD) remission after 15/19 d of treatment with induction therapy, respectively ( P=0.013).The rate of MRD remission after 33/46 d of treatment with induction therapy was higher in patients with the FBXW7 mutation ( P=0.004) and lower in patients with JAK3 mutations ( P=0.003).Multifactorial COX regression analysis showed that IL7R mutation and three or more gene mutations were independent risk factors for OS and EFS in T-ALL patients(OS: HR=3.252, 7.357, 95% CI: 1.020-10.372, 1.646-32.882; EFS: HR=3.372, 3.009, 95% CI: 1.234-9.214, 1.174-7.708; all P<0.05). Conclusions:Gene mutations are prevalent in T-ALL children and correlate with clinical manifestations and prognosis.The coexistence of mutated genes is obvious.Pediatric T-ALL patients with IL7R mutations and three or more gene mutations have a poorer prognosis.

Objective: To investigate the pathogen spectrum distribution and drug resistance of febrile neutropenic patients with hematological diseases in Shanghai. Methods: A retrospective study was conducted on the clinical isolates from the febrile neutropenic patients hospitalized in the departments of hematology in 12 general hospitals in Shanghai from January 2012 to December 2014. The drug susceptibility test was carried out by Kirby-Bauer method. WHONET 5.6 software was used to analyze pathogenic bacteria and drug susceptibility data. Results: A total of 1 260 clinical isolates were collected from the febrile neutropenic patients. Gram-positive bacteria accounted for 33.3% and Gram-negative bacteria accounted for 66.7%. Klebsiella pneumoniae (12.5%) , Stenotrophomonas maltophilia (9.5%) , Escherichia coli (9.1%) , Pseudomonas aeruginosa (8.7%) , Acinetobacter baumannii (6.6%) , Staphylococcus aureus (5.6%) and Enterococcus faecium (5.0%) were ranked in the first 7 of all pathogens. In the respiratory tract secretions specimens, non-fermented strains accounted for 56.2%. Stenotrophomonas maltophilia accounted for 15.2%. Enterobacteriaceae and coagulase-negative Staphylococci accounted for 42.3% (104/246) and 32.6% (85/246) respectively in blood samples. Enterobacteriaceae and Enterococcus bacteria accounted for 39.4% (76/193) and 28.5% (55/193) respectively in pus specimens. The detection rates of methicillin resistant Staphylococcus aureus (MRSA) and methicillin resistant coagulase negative Staphylococci (MRCNS) were 54.3% and 82.5%, respectively. Staphylococcus bacterial strain was not found to be resistant to linezolid, vancomycin and teicoplanin. The detection rate of Enterococcus vancomycin-resistant strains was 8.9%. Enterococcus was not detected resistance to oxazolidinone strains. Enterobacteriaceae bacteria were highly sensitive to carbapenems. The resistance rate of Pseudomonas aeruginosa to imipenem and meropenem was 34.1% and 15.8%, respectively. Stenotrophomonas maltophilia was more sensitive to minocycline hydrochloride, levofloxacin and sulfamethoxazole. The resistance rate of Acinetobacter baumannii only to cefoperazone-sulbactam was less than 10.0%. The antibiotic resistance rate of Klebsiella pneumoniae, Stenotrophomonas maltophilia, Pseudomonas aeruginosa and Acinetobacter baumanii to most of common antibiotics was lower than that of the CHINET surveillance. Conclusions The pathogenic strain distribution in common infection sites of febrile neutropenic patients was characterized. Bacterial resistance surveillance was better than the CHINET nationwide large sample surveillance in China.

Objective To investigate the regulative role of N-Acetyl-D-glucosamine(GlcNAc) on the stressed mice macrophages function.Methods The stressed mice model was established by electric footshock method.The mice were divided into 5 groups:normal control group,stressed mice model group,low dose Glc-NAc treatment group(0.25 ml 15% GlcNAc),medium-dose GlcNAc treatment group(0.5 ml 15% GlcNAc) and high-dose GlcNAc treatment group(1 ml 15% GlcNAc).GlcNAc was intragastrically injected to corresponding mice 2 h before the electrical stimulation.Peritoneal macrophage(PM?) phagocytosis capability was detected by phagocytosis saccharomycete assay,and PM? energy metabolism was detected by MTT assay.Results Compared with normal control group,stressed mice PM? phagocytosis capability was significantly lower(P