ABSTRACT
【Objective】 To study the correlation between platelet transfusion efficacy and KIR receptor-HLA ligand. 【Methods】 Thirty-three leukemia patients with positive HLA antibody were tested for cross-matching with donor platelets. Platelets from suitable donors were selected for transfusion, and the 24-hour platelet corrected count increment (CCI) was used to determine the transfusion effect. KIR and ligand genotyping were performed on blood samples from patients and donors by PCR-SSP method, and the relationship between platelet transfusion effects and KIR receptor-HLA ligand was analyzed. 【Results】 In 74 occasions of platelet transfusion, 42 were ineffective and 32 were effective. When the donor had C2 gene and HLA-B Bw4-80T gene, the frequency of ineffective platelet transfusion in the recipient was 69.0% (29/42) and 52.4% (22/35), respectively, which was significantly higher than that in the effective group [25.0% (8/32) and 25.0% (8/32)]. When the donor had C1 gene, and the frequency of effective platelet transfusion in the recipient was 100.0%(32/32), which was higher than that in the ineffective group [83.3%(35/42)]. When the recipient-donor matching mode was KIR2DL1-C2 and KIR3DL1-(HLA-B Bw4-80T), the frequency of ineffective platelet transfusion was 69.0%(29/42) and 40.5%(22/42),higher than that of the effective group [25% (8/32) and 18.8% (6/32)]. When the recipient-donor matching model was KIR2DL3-C1, the rate of effective platelet transfusion in 32 patients (100.0%), which was higher than that (35 patients 83. 3%) in the ineffective group. When the mismatch mode of recipient iKIR+donor HLA ligand receptor was KIR2DL1-C2, the frequency of effective platelet transfusion in the recipient was 78.1% (25/32), which was much higher than that in the ineffective group [31.0% (13/42)]. When the mismatch mode was KIR3DL1-(HLA-B Bw4-80T), the rate of effective platelet transfusion in the recipient was 68.8% (22/32), which was higher than that in the ineffective group (42.9%, 18/42). The difference between the above groups was statistically significant(P<0.05). 【Conclusion】 HLA-C1 and HLA-C2 genes are the key factors affecting the efficacy of platelet transfusion.For platelet refractorines, HLA-C1 is the protective gene, while HLA-C2 and HLA-B Bw4-80T are the susceptible genes. The recipient iKIR+donor HLA ligand receptor model may play an important role in platelet refractoriness.
ABSTRACT
Objective:To investigate the relationship between serum Betatrophin levels and metabolic parameters in patients with polycystic ovary syndrome (PCOS) .Methods:98 patients with PCOS (PCOS group) treated in Zhengzhou People’s Hospital from Dec. 2017 to Sep. 2019 were selected. They were divided into non-obese group ( n=45) and obese group ( n=53) according to BMI value; They were divided into non-IR group ( n= 21) and IR group ( n=77) according to HOMA-IR value; They were divided into non-hyperandrogen group ( n=24) and hyperandrogen group ( n=74) according to TT level; Another 90 healthy women were taken as the control group. The baseline data, lipid metabolism indexes, hormone indexes, glucose metabolism indexes and Betatrophin levels of the two groups were recorded. Pearson test and logisitc regression model were used to analyze the influencing factors related to the increase of serum Betatrophin level in patients with PCOS. Results:Compared with the control group, PCOS group had higher level of BMI, body fat, WHR, VLDL, LDL, TG, TC, FAI, TT, LH, DHEA-S, 17-OHP, FSH, FBG, FINS, and HOMA-IR, while the HDL level was significantly lower. The difference was significant ( P<0.01). Serum Betatrophin level in obese group was significantly higher than that in the control group (163.99±126.97 vs 110.99±102.97), and the difference was statistically significant ( t=3.21, P<0.001) ; serum Betatrophin level in IR group was higher than that in the control group (160.26±136.80 vs 133.17±112.06), and the serum Betatrophin level in IR group was higher than that in the control group (173.51±147.85 vs 144.26±124.56), but the difference was not statistically significant ( P>0.05). Serum Betatrophin levels in PCOS group were positively correlated with BMI, WHR, TG, FAI, FBG, FINS ( P<0.05), and negatively correlated with HDL ( P<0.05). Logistic analysis showed that BMI, WHR and TG were independent factors affecting the increase of serum Betatrophin level. Conclusion:Serum Betatrophin levels of PCOS patients are significantly increased, and BMI, WHR, TG, HDL, FAI, FBG, FINS may play an important role in the occurrence and development of PCOS and obesity, insulin resistance, blood lipids and androgen metabolism disorders.
ABSTRACT
Objective To observe the influence of glucose fluctuation on paraoxonase-3(PON3) and apoprotein A1(ApoA1) in T2DM patients with coronary heart disease (CHD) . Methods A total of 260 subjects were enrolled in this study and dividied into three groups :T2DM patients with CHD (T2DM +CHD group ,n=100) ,T2DM without CHD (T2DM group ,n=80) and healthy subjects(NC group ,n=80) .The serum PON3 and ApoA1 levels were measured and compared in all the three groups .The 72 h dynamic glucose monitoring (CGMS ) was adopted in T2DM + CHD group ,then according to the MAGE levels ,T2DM+ CHD group was subdivided intotertiles :the lowest tertile subgroup (2.43～3.44 mmol/L ,n=31) ,the middle tertile subgroup (3.45～4.46 mmol/L ,n=39) and the highest tertile subgroup (4.47～5.45 mmol/L ,n= 30) .Influencing factors for PON3 and ApoA1 were analyzed by multivariate linear regression analysis . Results (1)The SBP ,DBP ,FPG ,2 hPG ,HbA1c ,FIns ,ApoB ,BUN ,HOMA-IR , ApoA1 and number of smokers were higher in T2DM + CHD group than in NC group .FPG ,2 hPG ,HbA1c ,FIns and HOMA-IR were higher in T2DM+ CHD group than in T2DM group(P<0.05 or P<0.01) .LDL-C ,Lp-a and hsC-RP were higher ,and the PON3 were lower in T2DM +CHD group than in T2DM group and NC group (P< 0.05 or P< 0.01);(2)With the increase of blood glucose fluctuation range ,the levels of PON3[(0.58 ± 0.10) vs (0.44 ± 0.07) vs (0.25 ± 0.01) ng/ml]and ApoA1 [(2.33 ± 1.04) vs (2.31 ± 0.71) vs(1.05 ± 0.48)g/L]were reduced(all P=0.000);(3)Multiple linear regression analysis showed that BMI ,hsC-RP ,HOMA-IR and MAGE were influencing factors for PON3. And HbA1c ,hsC-RP and MAGE were influencing factors for ApoA1 (P<0.05 or P<0.01) . Conclusion Serum PON3 level is lower and ApoA1 level is higher in T2DM patients with CHD .Glucose fluctuation may be only an influencing factor for ApoA1 level .