Objective:To explore the expression levels and the clinical significance of serum secreted frizzled-related protein 5 (SFRP5) and miR-124-3p in patients with hypertension during pregnancy.Methods:Ninety-eight patients with hypertension during pregnancy diagnosed from Jan. 2019 to Feb. 2022 were selected as the observation group. According to the degree of the condition of patients, they were divided into 41 cases of pregnancy hypertension, 32 cases of mild preeclampsia, and 25 cases of severe preeclampsia, and 80 healthy subjects during the same period were selected as the control group. Enzyme-linked immunosorbent assay (ELISA) was used to detect the expression level of serum SFRP5 in patients, real-time fluorescence quantitative method (qRT-PCR) was used to detect the expression level of miR-124-3p. The relationship between SFRP5, miR-124-3p levels and clinicopathological indicators in patients with hypertension in pregnancy was analyzed, Pearson correlation analysis was used to analyze the correlation between SFRP5 and miR-124-3p. Multivariate Logistic regression was used to analyze the risk factors of hypertension in pregnancy.Results:Compared with the control group, the serum SFRP5 expression level of the observation group [ (33.78±5.21) ng/L vs (43.34±8.56) ng/L] was down-regulated, while the miR-124-3p level [ (2.16±0.41) vs (1.01±0.17) ] was up-regulated, and the serum SFRP5 level of the observation group decreased with the severity of the disease[ (38.43±6.37) ng/L (33.18±5.14) ng/L (26.94±3.38) ng/L], while the level of miR-124-3p increased with the severity of the disease[ (1.62±0.24) (2.19±0.43) (3.01±0.69) ], the difference was statistically significant ( P<0.05) . The expression levels of SFRP5 and miR-124-3p in the serum of patients with hypertension in pregnancy were related to the age, pregnancy, pre-pregnancy BMI, and fasting blood glucose level of patients ( P<0.05) , but not related to the gestational age of patients ( P>0.05) . Bioinformatics TargetScan website showed that SFRP5 and miR-124-3p had binding sites. Pearson correlation analysis showed that SFRP5 and miR-124-3p were negatively correlated ( r=-0.610, P<0.05) . Multivariate Logistic regression analysis showed that SFRP5 was a protective factor for pregnancy-induced hypertension in pregnant women, and miR-124-3p was a risk factor ( P<0.05) . Conclusion:The serum levels of SFRP5 and miR-124-3p are abnormally expressed in patients with hypertension during pregnancy, and there is a certain relationship with the degree of disease. Both are involved in the occurrence and development of hypertension during pregnancy.

OBJECTIVETo evaluate the role of polymorphism in the neurogenic differentiation factor 1(Neuro D) gene in Chinese patients with type 2 diabetes mellitus.

METHODSThe genotypes of codon 45 variant (GCC-->ACC) in the Neuro D gene were determined by mismatch PCR-restriction fragment length polymorphism assay in 448 Chinese, including 124 subjects with normal glucose tolerance and 324 patients with type 2 diabetes mellitus. The diabetic patients were divided into two groups cutting off with the age of 40 at onset.

RESULTSNo homozygote of the Ala45Thr variant was found in these subjects. The frequencies of AT heterozygous type were significantly higher in early-onset type 2 diabetic group than those in the control group and in the late-onset type 2 diabetic group (chi(2)=7.85, P=0.005; chi(2)=8.81, P=0.003). The frequencies of Thr45 allele in the early-onset type 2 diabetic group were significantly different from those of the control group (13.4% vs 5.2%, chi(2)=7.15, P=0.008) and the late-onset type 2 diabetic group (13.4% vs 5.8%, chi(2)=8.13, P=0.004). The presence of Thr45 allele was shown to have an association with early-onset type 2 diabetes (OR=2.52, 95% CI: 1.42-4.49). Furthermore, the subjects carrying the variant appeared to have lower serum concentration of C-peptide in diabetic group. However, the frequencies of polymorphism genotypes of Neuro D gene showed no difference between the late-onset type 2 diabetic group and the control group.

CONCLUSIONThe genetic polymorphism in the Neuro D is associated with the development of early-onset type 2 diabetes. The presence of Thr45 allele may represent a risk factor for early-onset type 2 diabetes among Chinese.

Alleles ; Basic Helix-Loop-Helix Transcription Factors ; DNA ; genetics ; metabolism ; DNA Restriction Enzymes ; metabolism ; DNA-Binding Proteins ; genetics ; Diabetes Mellitus, Type 2 ; genetics ; Female ; Gene Frequency ; Genotype ; Humans ; Male ; Middle Aged ; Mutation, Missense ; Polymorphism, Genetic ; Trans-Activators ; genetics

Objective:To explore the relationship between seizure cluster of temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) and cortisol (COR) rhythm, and understand its mechanism from the perspective of neuroendocrine.Methods:Fifty-seven patients with unilateral TLE-HS were recruited from the Qinghai Provincial People′s Hospital from May 1st 2012 to December 31st 2020. According to the history of seizure clusters one month before admission, 27 patients were enrolled in seizure clusters group (SC group), 30 patients were included in without seizures cluster group (NSC group). The clinical characteristics were systematically analyzed and compared between the SC and NSC groups. Plasma COR levels were measured at 8:00, 16:00 and 24:00 (COR8, COR16 and COR0) on the same day, and bilateral magnetic resonance spectroscopy (MRS) diagnosis was performed in two groups. Independent sample t test, chi-square test, repeated analysis of variance, covariance analysis, and multivariate Logistic regression were used for statistical analysis. Results:Time effect, grouping effect and the interaction effect of the time and grouping in the level of COR were statistically significant. Covariance analysis excluded age as an influential factor, COR16, COR0 and the slope of COR8-16 in the SC group [(126.22±19.98) μg/L, (51.63±21.43) μg/L, -7.78±4.54] were higher than the NSC group [(97.70±18.55) μg/L, (31.90±10.73) μg/L, -12.40±4.16], and the difference was statistically significant ( F=5.587, 4.320, 4.013, all P<0.05). The slope of COR0-8 in the SC group (17.11±6.32) was lower than that in the NSC group (20.62±6.54), and the difference was statistically significant ( F=-2.065, P<0.05). There was no significant difference in lateralization of hippocampal sclerosis between the two groups, and there was no significant difference in the ratio of N-acetyl aspartic acid(NAA)/[choline(Cho)+creatinine(Cr)] in the unilateral hippocampal sclerosis zone of the two groups, but the NAA/(Cho±Cr) ratio of the contralateral hippocampus in the SC group (0.71±0.03) was lower than that in the NSC group (0.76±0.06),and the difference was statistically significant ( t=4.999, P=0.029). Multivariate Logistic regression analysis showed that COR16 ( OR=1.328, 95% CI 1.073-1.642, P=0.009), COR8-16 ( OR=3.657, 95% CI 1.404-9.525, P=0.008) were independent risk factors of seizure clusters in TLE-HS. Conclusion:COR rhythm disturbance may be the neuroendocrine basis of seizure clusters in patients with TLE-HS.

【Objective】 To objectively evaluate the quality control level of blood testing process in blood banks through quantitative monitoring and trend analysis, and to promote the homogenization level and standardized management of blood testing laboratories in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation service, blood component preparation, blood testing, blood supply and quality control was established. The questionnaire Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong province. Quality monitoring indicators of each blood bank from January to December 2022 were collected, and 31 indicators in terms of blood testing were analyzed using SPSS25.0 software. 【Results】 The proportion of unqualified serological tests in 17 blood bank laboratories was 55.84% for ALT, 13.63% for HBsAg, 5.08% for anti HCV, 5.62% for anti HIV, 18.18% for anti TP, and 1.65% for other factors (mainly sample quality). The detection unqualified rate and median were (1.23±0.57)% and 1.11%, respectively. The ALT unqualified rate and median were (0.74±0.53)% and 0.60%, respectively. The detection unqualified rate was positively correlated with ALT unqualified rate (r=0.974, P<0.05). The unqualified rate of HBsAg, anti HCV, anti HIV and anti TP was (0.15±0.09)%, (0.05±0.04)%, (0.06±0.03)% and (0.20±0.05)% respectively. The average unqualified rate, average hemolysis rate, average insufficient volume rate and the abnormal hematocrit rate of samples in 17 blood bank laboratories was 0.21‰, 0.08‰, 0.01‰ and 0.02‰ respectively. There were differences in the retest concordance rates of four HBsAg, anti HCV and anti HIV reagents, and three anti TP reagents among 17 blood bank laboratories (P<0.05). The usage rate of ELISA reagents was (114.56±3.30)%, the outage rate of ELISA was (10.23±7.05) ‰, and the out of range rate of ELISA was (0.90±1.17) ‰. There was no correlation between the out of range rate, outrage rate and usage rate (all P>0.05), while the outrage rate was positively correlated with the usage rate (r=0.592, P<0.05). A total of 443 HBV DNA positive samples were detected in all blood banks, with an unqualified rate of 3.78/10 000; 15 HCV RNA positive samples were detected, with an unqualified rate of 0.13/10 000; 5 HIV RNA positive samples were detected, with an unqualified rate of 0.04/10 000. The unqualified rate of NAT was (0.72±0.04)‰, the single NAT reaction rate [(0.39±0.02)‰] was positively correlated with the single HBV DNA reaction rate [ (0.36±0.02) ‰] (r=0.886, P<0.05). There was a difference in the discriminated reactive rate by individual NAT among three blood bank laboratories (C, F, H) (P<0.05). The median resolution rate of 17 blood station laboratories by minipool test was 36.36%, the median rate of invalid batch of NAT was 0.67%, and the median rate of invalid result of NAT was 0.07‰. The consistency rate of ELISA dual reagent detection results was (99.63±0.24)%, and the median length of equipment failure was 14 days. The error rate of blood type testing in blood collection department was 0.14‰. 【Conclusion】 The quality monitoring indicator system for blood testing process in Shandong can monitor potential risks before, during and after the experiment, and has good applicability, feasibility, and effectiveness, and can facilitate the continuous improvement of laboratory quality control level. The application of blood testing quality monitoring indicators will promote the homogenization and standardization of blood quality management in Shandong, and lay the foundation for future comprehensive evaluations of blood banks.

【Objective】 To establish an effective quality monitoring indicator system for blood quality control in blood banks, in order to analyze the quality control indicators for blood collection and supply, and evaluate blood quality control process, thus promoting continuous improvement and standardizing management of blood quality control in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation services, component preparation, blood testing, blood supply and quality control was established. The Questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process was distributed to 17 blood banks in Shandong, which clarified the definition and calculation formula of indicators. The quality monitoring indicator data from January to December 2022 in each blood bank were collected, and 20 quality control indicators data were analyzed by SPSS25.0 software. 【Results】 The average pass rate of key equipment monitoring, environment monitoring, key material monitoring, and blood testing item monitoring of 17 blood banks were 99.47%, 99.51%, 99.95% and 98.99%, respectively. Significant difference was noticed in the pass rate of environment monitoring among blood banks of varied scales(P<0.05), and the Pearson correlation coefficient (r) between the total number of blood quality testing items and the total amount of blood component preparation was 0.645 (P<0.05). The average discarding rates of blood testing or non-blood testing were 1.14% and 3.36% respectively, showing significant difference among blood banks of varied scales (P<0.05). The average discarding rate of lipemic blood was 3.07%, which had a positive correlation with the discarding rate of non testing (r=0.981 3, P<0.05). There was a statistically significant difference in the discarding rate of lipemic blood between blood banks with lipemic blood control measures and those without (P<0.05). The average discarding rate of abnormal color, non-standard volume, blood bag damage, hemolysis, blood protein precipitation and blood clotting were 0.20%, 0.14%, 0.06%, 0.06%, 0.02% and 0.02% respectively, showing statistically significant differences among large, medium and small blood banks(P<0.05).The average discarding rates of expired blood, other factors, confidential unit exclusion and unqualified samples were 0.02%, 0.05%, 0.003% and 0.004%, respectively. The discarding rate of blood with air bubbles was 0.015%, while that of blood with foreign body and unqualified label were 0. 【Conclusion】 The quality control indicator system of blood banks in Shandong can monitor weak points in process management, with good applicability, feasibility, and effectiveness. It is conducive to evaluate different blood banks, continuously improve the quality control level of blood collection and supply, promote the homogenization and standardization of blood quality management, and lay the foundation for comprehensive evaluation of blood banks in Shandong.

【Objective】 To establish an effective quality indicator monitoring system, scientifically and objectively evaluate the quality management level of blood banks, and achieve continuous improvement of quality management in blood bank. 【Methods】 A quality monitoring indicator system that covers the whole process of blood collection and supply was established, the questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong. Statistical analysis of 21 quality monitoring indicators in terms of blood donation service (10 indicators), blood component preparation (7 indicators ), and blood supply (4 indicators) from each blood bank from January to December 2022 were conducted using SPSS25.0 software The differences in quality monitoring indicators of blood banks of different scales were analyzed. 【Results】 The average values of quality monitoring indicators for blood donation service process of 17 blood banks were as follows: 44.66% (2 233/5 000) of regular donors proportion, 0.22% (11/50) of adverse reactions incidence, 0.46% (23/5 000) of non-standard whole blood collection rate, 0.052% (13/25 000) of missed HBsAg screening rate, 99.42% (4 971/5 000) of first, puncture successful rate, 86.49% (173/200) of double platelet collection rate, 66.50% (133/200) of 400 mL whole blood collection rate, 99.25% (397/400) of donor satisfaction rate, 82.68% (2 067/2 500) of use rate of whole blood collection bags with bypass system with sample tube, and 1 case of occupational exposure in blood collection.There was a strong positive correlation between the proportion of regular blood donors and the collection rate of 400 mL whole blood (P<0.05). The platelet collection rate, incidence of adverse reactions to blood donation, and non-standard whole blood collection rate in large blood banks were significantly lower than those in medium and small blood banks (P<0.05). The average quality monitoring indicators for blood component preparation process of 17 blood banks were as follows: the leakage rate of blood component preparation bags was 0.03% (3/10 000), the discarding rate of lipemic blood was 3.05% (61/2 000), the discarding rate of hemolysis blood was 0.13%(13/10 000). 0.06 case had labeling errors, 8 bags had blood catheter leaks, 2.76 bags had blood puncture/connection leaks, and 0.59 cases had non-conforming consumables. The discarding rate of hemolysis blood of large blood banks was significantly lower than that of medium and small blood banks (P<0.05), and the discarding rate of lipemic blood of large and medium blood banks was significantly lower than that of small blood banks (P<0.05). The average values of quality monitoring indicators for blood supply process of 17 blood banks were as follows: the discarding rate of expired blood was 0.023% (23/100 000), the leakage rate during storage and distribution was of 0.009%(9/100 000), the discarding rate of returned blood was 0.106% (53/50 000), the service satisfaction of hospitals was 99.16% (2 479/2 500). The leakage rate of blood components during storage and distribution was statistically different with that of blood component preparation bags between different blood banks (P<0.05). There were statistically significant differences in the proportion of regular blood donors, incidence of adverse reactions, non-standard whole blood collection rate, 400 mL whole blood collection rate, double platelet collection rate, the blood bag leakage rate during preparation process, the blood components leakage rate during storage and distribution as well as the discarding rate of lipemic blood, hemolysis blood, expired blood and returned blood among large, medium and small blood banks (all P<0.05). 【Conclusion】 The establishment of a quality monitoring indicator system for blood donation services, blood component preparation and blood supply processes in Shandong has good applicability, feasibility and effectiveness. It can objectively evaluate the quality management level, facilitate the continuous improvement of the quality management system, promote the homogenization of blood management in the province and lay the foundation for future comprehensive evaluation of blood banks.