The TLD(thermoluminescent dosimetry)must be calibrated before used in individual dosimetry.In this paper,some related issues that affect the accuracy of calibration,including principle and performance of the instruments,conditions of annealing and measuring,method of curve fitting are discussed and an appropriate calibration method is proposed.The results show that the method we proposed is valid and efficient,which ensures the accuracy of individual dosimetry.

Operation of radiological equipment affects not only the quality of clinical diagnosis & treatment,but also the health of the radiographer and subjects.The operation and safety protection of the aged radiological equipment in primary medical units has to be paid particular attention to.Based on the survey,some advices are put forward from the aspects of equipment management,personnel training and protection supervision.

Objective To investigate the expression levels of DNA methyltransferases 1, 3A and 3B in CD4+ T cells of MRL/lpr mice, and explore their relationship with the expression levels of methylation-sensitive genes (ITGAL, CD70). Methods CD4+ T ceils were isolated from spleens of 16-week-old MRL/lpr and BALB/c control mice by anti-CIM antibody labeled magnetic beads. Transcription levels of DNA methyhransferases 1, 3A and 3B and methylation-sensitive genes(ITGAL, CD70) were measured by real-time mice when compared with BALB/c control mice and the difference was significant (P<0.05), while the expression of DNMTI and DNMT3A showed a tendency of decrease (P>0.05). The mRNA expression of CD70 was significantly higher (P<0.01), but the expression of ITGAL had no significant difference between the two P<0.01 ). Conclusion Decreased expression of DNMT3B may attribute to the elevated expression of methylation-seusitive gene CD70, thus lead to the dysfunction of CD4+ T cell and play an important role in the pathogenesis of SLE.

cleaning and disinfection.Results All 28 surveyed medical institutions had separate endoscope disinfection rooms, 89.29% of which had integrated endoscopic cleaning station,17.86% had automatic endoscope washer/disinfector;100% used multi-enzymatic detergent,chose the right disinfectant,monitored disinfectant concentration every day, and implemented standard disinfection time.But only 39.29% changed multi-enzymatic detergent for each endo-scope,cleaning and disinfection personnel in 78.57% of medical institutions wore personal protective equipment correctly.77 digestive endoscopes were detected,the qualified rate was 88.31%.Conclusion Cleaning and disin-fection management of digestive endoscope in secondary and above medical institutions in Suzhou City is generally standardized,there are still some problems in the manipulation procedures,relevant national regulations should be strictly complied with,efficacy of cleaning and disinfection of digestive endoscope should be further improved.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective:To investigate the correlation between subclinical hypothyroidism(SCH)and the degree of coronary artery stenosis in patients with coronary heart disease.Methods:From March 2018 to September 2019, 138 patients undergoing coronary angiography in our hospital were randomly selected and their serum thyroxine(FT4)and high-sensitivity thyroid stimulating hormone(sTSH)levels were measured.Based on the levels of FT4 and sTSH, patients were divided into the SCH group and the normal group.Combined with coronary angiography results, the correlation between the SCH and the number of coronary lesions were analyzed.Results:Patients in the SCH group were associated with significantly higher levels of cholesterol(TC)[(5.83±1.27)mmol/L vs.(5.02±1.22)mmol/L, t=3.746, P=0.000], triglyceride(TG)[(3.29±1.74)mmol/L vs.(2.17±1.68)mmol/L, t=3.769, P=0.000], low-density lipoprotein cholesterol(LDL-C)[(3.81±1.02)mmol/L vs.(3.24±1.08)mmol/L, t=3.092, P=0.001], and high-density lipoprotein cholesterol(HDL-C)[(1.13±0.27)mmol/L vs.(1.02±0.25)mmol/L, t=2.4459, P=0.008]than those in the normal group.There were significant differences in sTSH levels between patients with multivessel, double vessel or single vessel disease when grouped by the number of coronary lesions, and between those with severe, moderate or mild coronary artery stenosis when grouped by disease severity(all P<0.05). Multiple regression analysis showed that SCH, TC, and LDL-C were factors affecting the number of coronary lesions( P<0.05). Conclusions:SCH is an important factor that causes the occurrence and progression of coronary artery stenosis in patients with coronary heart disease, mainly by affecting lipid metabolism.