AIM: To study the influence of PD098059 on the rat platelet aggregation rate and the phosphorylation of ERK1/2 induced by the different agonists, and to observe the effects of phosphorylation of ERK1/2 on the platelet aggregation. METHODS: The maximal aggregation rate (MAR) was measured by nephelometry. The inhibitory rate of PD098059 and the appearing time of MAR were also observed. ERK1/2 phosphorylation was detected by Western blot. RESULTS: The phosphorylation of ERK1/2 was detected during aggregation induced by thrombin and ADP. PD098059 inhibited the MAR and phosphorylation of ERK1/2. Effects of PD098059 were different on the aggregation induced by thrombin and ADP. CONCLUSIONS: The phosphorylation of ERK1/2 is one of the cellular signal transduction mechanisms of platelets aggregation. Phosphorylation of ERK1/2 plays different roles during the platelet aggregation induced by thrombin and ADP. [

Objective To use the superior sagittal sinus (SSS) as an example to identify anatomical features of the bridging veins(BVs) draining into the SSS in both susceptibility weighted imaging (SWI) and three dimensional contrast enhancement MR venography (3D-CEMRV) images.Methods A total of 20 healthy volunteers (40 sides) were examined in this study.The venograms of each patient was obtained from SWI (40 sides out of 20 volunteers) and 3D-CE MRV (40 sides out of 20 volunteers).The data were analyzed by t test.Results According to their draining location with respect to the SSS,bridging veins were devided into two groups.Between the anterior group and the posterior group were two segments of the SSS into which few bridging veins drained.Observed by 3D-CE MRV and SWI,the average numbers of the anterior group were 1.9 ± 0.6 and 3.2 + 0.8,respectively,and the average diameters of the anterior group were (3.4 ± 1.1 ) and (2.1 +0.5 ) mm,respectively.These differences between 3D-CE MRV and SWI images were significant ( t =11.23,9.76,P ＜0.0l ).Observed by 3D-CE MRV and SWI,the average numbers of the posterior group were 3.5 + 1.2 and 5.9 ± 1.1,respectively,and the average diameters of the posterior group were ( 3.7 ± 0.9 ) and ( 2.9 ± 0.7 ) mm,respectively.The differences between the two technique were significant as well ( t =11.51,8.47,P ＜ 0.01 ).Conclusion The dural entrance of BVs into the SSS can be identified in both SWI and 3D-CE MRV images.The preoperative venogram by using 3D-CE MRV and SWI is useful to design a individual-tailored surgical approach for the preservation of BVs draining into SSS.SWI outweighs 3D-CE MRV in identifying anatomical features of the dural entrance of BVs into the SSS.

Objective:To investigate the expressions of CD200 and inducible costimulator (ICOS) protein in angioimmunoblastic T-cell lymphoma (AITL) and the relationship with prognosis as well as their significances in the differential diagnosis of AITL.Methods:A total of 39 AITL patients in the First People's Hospital of Chenzhou, the Fourth People's Hospital of Chenzhou, Xiangnan College Affiliated Hospital and Chenzhou 3rd People's Hospital from June 2012 to December 2019, and 10 patients with classic Hodgkin lymphoma (CHL) and 10 patients with peripheral T cell lymphoma, not otherwise specified (PTCL-NOS) from August 2016 to July 2019 in the First People's Hospital of Chenzhou were selected. Immunohistochemistry was used to detect the expressions of CD200, ICOS, CD10, programmed death 1 (PD-1), bcl-6 and CXC chemokine receptor-13 (CXCL13) proteins, and the correlation of CD200 and ICOS with clinicopathological features and prognosis of AITL patients was analyzed, and the diagnostic significance of both in differentiating AITL from PTCL-NOS and CHL was also analyzed.Results:The positive rates of CD200 and ICOS in 39 AITL patients were 71.79% (28/39) and 61.54% (24/39), respectively. There were 7 cases of CD200 weak and moderate positive in 10 CHL patients, and ICOS proteins were all negative. Among 10 PTCL-NOS patients, 4 patients had CD200 positive and 1 patient had ICOS positive. The differences in positive rates of ICOS protein between AITL patients and CHL, PTCL-NOS patients were statistically significant (all P < 0.05); the differences in positive rates of CD200 protein between AITL patients and CHL, PTCL-NOS patients were not statistically significant ( χ2=0.013, P=0.911; χ2=3.551, P=0.060). The positive rate of CD200 in AITL patients with elevated lactate dehydrogenase (LDH) and international prognostic index (IPI) score of 3-4 was higher than that in AITL patients with normal LDH and IPI score of 0-2 (both P < 0.05); The positive rate of ICOS in AITL patients with elevated LDH and PD-1 positive was higher than that in AITL patients with normal LDH and PD-1 negative (both P < 0.05). CD200 negative AITL patients had better 3-year overall survival (OS) rate (4.2% vs. 66.7%) and 3-year progression-free survival (PFS) rate (5.3% vs. 77.1%) compared with those in CD200 positive AITL patients, and the differences between both groups were statistically significant (both P < 0.01); there was a statistically significant difference in 3-year OS rate between ICOS positive AITL patients and ICOS negative AITL patients (15.3% vs. 38.6%, P=0.011), while there was no statistically significant difference in 3-year PFS rate of both groups (18.6% vs. 41.5%, P=0.059). Multivariate analysis showed CD200 ( HR=0.076, 95% CI 1.555-79.497, P=0.001), extranodal involvement or not ( HR=11.117, 95% CI 1.555-79.497, P=0.016) and LDH ( HR=2.147, 95% CI 0.844-5.459, P=0.109) were independent influencing factors of OS in AITL patients; CD200 ( HR=0.075, 95% CI 0.016-0.357, P=0.001) and LDH ( HR=2.335, 95% CI 0.929-5.870, P=0.071) were independent influencing factors of PFS in AITL patients. Conclusions:CD200 and ICOS can be used as immunohistochemical indicators to assist the diagnosis of AITL patients. ICOS protein helps to differentiate AITL from CHL and PTCL-NOS; CD200 can be used as indicators to judge the prognosis and deterioration of AITL patients.

Objective:To establish a new molecular typing method for Treponema pallidum (TP) based on TP0136 protein sequence heterogeneity. Methods:The amino acid sequences of TP0136 open reading frame (ORF) of 9 strains of Treponema pallidum ssp. Pallidum (TPA) , 3 strains of Treponema pallidum ssp. Pertenue (TPE) , 1 unclassified simian strain of Treponema Fribourg-Blanc (FB) and 1 strain of Treponema pallidum ssp. Endemicum (TEN) were searched from Genbank, and multiple sequence comparisons were performed to obtain the molecular typing results of TP0136 protein. The TP0136 protein-based molecular typing method was used to classify 23 TPA clinical isolates, which were collected from Dermatology Hospital of Southern Medical University from January 2015 to December 2018, and the typing results were compared with those by the traditional typing method based on the tp0548/Arp/Tpr genes. Results:TP0136 protein was highly heterogeneous in different TP strains. According to the amino acid sequence of TP0136, TPE, FB and TEN strains were divided into 4 subtypes of Ⅰ- Ⅳ, TPA strains were divided into 6 subtypes of Ⅴ-Ⅹ, and TPA clinical strains were classified into 4 subtypes of Ⅶ, Ⅸ, Ⅹ, Ⅺ. Through the traditional typing method described above, 23 TPA clinical strains could be divided into 5 types (13D/d, 14D/f, 14D/g, 15D/f, 16A/e) . By using the TP0136 protein-based typing method combined with traditional typing method, the above clinical strains could be further subdivided into 10 types, and the 14D/f type could be further divided into 3 subtypes by using the TP0136 protein-based typing method.Conclusion:The TP0136 protein-based molecular typing method can be used to distinguish TP species, which is helpful for further improvement of traditional TPA molecular typing.

Background Heavy metal exposure may be associated with the risk of metabolic syndrome (MetS) and serum uric acid. The role of serum uric acid in the relationship between heavy metal exposure and MetS is currently unclear. Objective To evaluate the relationships of heavy metal exposure with MetS and serum uric acid, and to quantify the role of serum uric acid in the relationship. Methods In 2021, convenience sampling was used to select 571 local adults in Liuzhou, Guangxi. Demographic characteristics, lifestyle habits, and physiological and biochemical indicators were collected through questionnaire surveys and physical examinations. Fasting blood and mid-stream morning urine were also collected. The concentrations of 16 heavy metals in urine were measured using inductively coupled plasma mass spectrometry. Least absolute shrinkage and selection operator (LASSO) regression was employed to identify heavy metals associated with MetS. Logistic regression and linear regression models were employed to evaluate the association between the selected heavy metals and MetS as well as serum uric acid. Bayesian kernel machine regression (BKMR) model was utilized to assess the impact of combined exposures to multiple metals on the risk of MetS and identify the main effect metals. Generalized structural equation model was used to evaluate potential mediating effect of serum uric acid on the relationship between heavy metal exposure and MetS. Results The LASSO regression identified a total of 9 heavy metals that were associated with MetS. The logistic regression revealed a positive correlation between zinc and copper in urine and MetS (P _trend<0.05), while vanadium showed a negative correlation with MetS (P _trend<0.05). Compared to the low concentration groups, the high concentration groups of zinc (OR=2.37, 95%CI: 1.33, 4.20) and copper (OR=2.29, 95%CI: 1.26, 4.18) had an increased risk of MetS, while the high concentration group of vanadium showed a decreased risk of MetS (OR=0.47, 95%CI: 0.27, 0.84). The main effect metals identified by the BKMR model were consistent with the results of logistic regression. The linear regression analysis demonstrated an association between urinary zinc and vanadium concentrations and serum uric acid levels (P _trend<0.05). Compared to the low concentration group, the high concentration group of zinc showed an increase in serum uric acid level (β=0.07, 95%CI: 0.03, 0.11), while the high concentration group of vanadium showed a decrease in serum uric acid level (β=-0.06, 95%CI: -0.09, -0.02). The mediation analysis revealed that serum uric acid played a mediating role in the relationship between urinary zinc and vanadium concentrations and MetS, with mediation proportions of 8.33% and 16.67%, respectively. Conclusion Exposure to heavy metals zinc, copper, and vanadium are closely associated with MetS. Zinc and vanadium exposures are correlated with serum uric acid levels, and serum uric acid plays a partial mediating role in the relationship between zinc and vanadium exposures and MetS.

Heme/metabolism* ; Cryoelectron Microscopy ; Membrane Transport Proteins ; Escherichia coli Proteins/metabolism*