ObjectiveTo explore the target of Erzhiwan in reducing myocardial injury in ovariectomized mice through non-targeted myocardial metabolomics combined with experimental verification. MethodsOvariectomized mouse model was selected， 40 female C57BL/6 mice were randomly divided into sham operation group， model group， estrogen group（estradiol valerate， 1.3×10^-4 g·kg^-1）， Erzhiwan low and high dose groups（3.12， 9.36 g·kg^-1）， with 8 mice in each group. Each administration group was given the corresponding dose of Erzhiwan by gavage， and the sham operation group and model group were given equal volume of distilled water by gavage for 12 weeks. Echocardiography was used to detect cardiac function， hematoxylin-eosin（HE） staining was used to observe myocardial morphological changes， and enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of estrogen， N-terminal pro-brain natriuretic peptide（NT-proBNP）， hypersensitive troponin T（hs-TnT）， total cholesterol（TC）， triglyceride（TG）， low density lipoprotein cholesterol（LDL-C）， high density lipoprotein cholesterol（HDL-C）， interleukin（IL）-1β， IL-18 and tumor necrosis factor-α（TNF-α）. The non-targeted metabolomics of mouse myocardium were analyzed by ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS）， and the differential metabolites and corresponding metabolic pathways were obtained. The mRNA expression levels of phosphatidylinositol 3-kinase（PI3K） and protein kinase B（Akt） in mouse myocardial tissues were detected by real-time fluorescence quantitative polymerase chain reaction（Real-time PCR）， and the protein expression levels of PI3K， Akt， phosphorylated（p）-Akt were detected by Western blot. ResultsCompared with the sham operation group， the model group showed abnormal cardiac function， increased myocardial fiber space， cardiomyocyte atrophy， sarcoplasmic aggregation， and occasional dissolution or rupture of muscle fiber， the level of estrogen in the serum was decreased， the levels of NT-proBNP， hs-TnT， IL-1β， IL-18， TNF-α， TG， TC and LDL-C were increased， and the level of HDL-C was decreased（P<0.01）. Compared with the model group， Erzhiwan could increase the level of estrogen， improve the abnormal cardiac function， reduce the pathological injury of myocardial tissue， decrease the levels of myocardial injury markers（NT-proBNP， hs-TnT） and inflammatory factors（IL-1β， IL-18， TNF-α）， decrease the levels of TG， TC， LDL-C， and increased the level of HDL-C（P<0.01）. The results of non-targeted myocardial metabolomics showed that 31 of the 162 differential metabolites between the model group and sham operation group were significantly adjusted after administration of Erzhiwan， which were mainly glycerol phospholipid metabolites. Pathway enrichment results showed that Erzhiwan mainly affected glycerophospholipid metabolic pathway， PI3K-Akt pathway， cyclic guanosine monophosphate（cGMP）-protein kinase G（PKG） pathway and other metabolic pathways. Compared with the sham operation group， the levels of phosphatidylcholine（PC， 11 types） and phosphatidylethanolamine（PE， 5 types） in mouse myocardial tissue of the model group were increased（P<0.05， P<0.01）， and the mRNA and protein expressions of PI3K and p-Akt were decreased（P<0.05， P<0.01）. Compared with the model group， the levels of PC（11 types） and PE（5 types） were decreased（P<0.05， P<0.01） in myocardial tissue of Erzhiwan group， the mRNA and protein expressions of PI3K and p-Akt were elevated（P<0.01）. ConclusionErzhiwan can alleviate the pathological injury of myocardium in ovariectomized mice， improve the abnormal cardiac function， improve lipid metabolism disorder， and reduce the levels of myocardial injury markers and inflammatory factors， which involves a number of signaling and metabolic pathways in the heart， among which glycerophospholipid metabolism pathway and PI3K/Akt pathway may have key roles.

Objective The performance characteristics of statistical quality control procedures in Westgard sigma rule are analyzed by using the power function graph.Methods According to the drawing principle of power function graph,the internal quality control program design software of clinical laboratory quantitative measurement was developed.and the Westgard sigma rule quality control procedures were simulated with power function graph.The performance of the quality control procedures recommended by Westgard sigma was analyzed by combining different sigma quality levels.Results The rules recommended by Westgard sigma were relatively simple rules that can meet the requirements of error detection probability and false rejection probability.Conclusion The internal quality control procedure design software for quantitative clinical testing has verified the performance of Westgard sigma recommendation rules.The Westgard sigma rule diagram is intuitive and convenient,the laboratory can use the Westgard sigma recommendation rules for internal quality control.

Objective To investigate the application value of single nucleotide polymorphism(SNP)linkage analysis based on next-generation sequencing(NGS)technology in preimplantation genetic testing(PGT)of families with autosomal recessive polycystic kidney disease(ARPKD).Methods A family with ARPKD was selected,where the female member had a pregnancy ultrasound revealing polycystic kidney in the fetus.Genetic testing showed compound heterozygous mutations of the polycystic kidney/polycystic liver disease 1 gene(PKHD1),c.10444C>T(paternal)and c.4303del(maternal),with the c.4303del mutation being reported for the first time.Targeting the coding region of the PKHD1 gene,335 high-density tightly linked SNP sites were selected in the upstream and downstream 2M regions using multiplex polymerase chain reaction(PCR)and NGS.The couple′s SNP risk haplotypes carrying gene mutations were constructed.After in vitro fertilization,blastocyst culture was performed.Trophoblastic cells obtained from the biopsy were subjected to whole-genome amplification,and NGS was used for linkage analysis and low-depth chromosomal aneuploidy screening of the embryos.Sanger sequencing was used to verify the results of embryo linkage analysis.Results Among the 6 biopsied embryos,4 were mutation-free and euploid,1 exhibited heterozygous for the mutation and mosaic while another unstable sequencing data,making it impossible to judge.One of the mutation-free and developmentally healthy euploid embryos was implanted into the maternal uterus,resulting in the full-term delivery of a healthy baby.Conclusion Application of NGS-based SNP linkage analysis in PGT can effectively blocking the vertical transmission of ARPKD within families,while avoiding abortion issues caused by aneuploid embryos.This study is also the first PGT report target-ing the PKHD1 gene c.4303del mutation.

BACKGROUND:In vitro fertilization-embryo transfer is commonly used to solve infertility,but its success rate is not high,the more common reasons are poor endometrial receptivity,poor egg quality,etc.The follicular fluid melatonin can inhibit the aging of the ovary,to a certain extent,can promote the development of embryos,improve the probability of conception,but whether there is a correlation between the two is not known. OBJECTIVE:To explore the correlation between follicular fluid melatonin level and pregnancy rate of single-cycle in vitro fertilization-embryo transfer women. METHODS:A total of 112 female patients who received in vitro fertilization-embryo transfer treatment in the First Affiliated Hospital of Anhui Medical University from December 2020 to April 2021 were selected as the study subjects.They were divided into quartile array(Q1-Q5)according to the follicular fluid melatonin level from low to high.Among them,the melatonin level of group Q1 was<6.99 ng/L(n=18),that of group Q2 was 7.00-9.99 ng/L(n=26),that of group Q3 was 10.00-11.99 ng/L(n=27),and that of group Q4 was 12.00-13.99 ng/L(n=18);and melatonin levels in group Q5 were 14.00-19.99 ng/L(n=23).Clinical data characteristics of the five groups were compared.Multi-factor Logistic regression was used to analyze the correlation between follicular fluid melatonin level and pregnancy rate of women with single-cycle in vitro fertilization-embryo transfer and embryo transfer.A restricted cubic spline Logistic regression model was established to analyze the dose-response relationship,and the model was evaluated by clinical decision curve. RESULTS AND CONCLUSION:(1)Compared with the study population with the lowest melatonin quintile(Q1),with the increase of melatonin level(Q2-Q5),the levels of egg harvest and pregnancy success were gradually increased,and the body mass index was gradually decreased,and the differences were significant(P<0.05).(2)Multivariate Logistic regression analysis showed that after adjusting for confounding factors such as global mass index,number of eggs retrieved,luteinizing hormone,estradiol,progesterone and other confounding factors,follicular fluid melatonin level was still independently correlated with pregnancy rate of single-cycle in vitro fertilization-embryo transfer women(OR=1.538,95%CI:1.032-1.837,P<0.05),and there was significant difference in trend test of follicular fluid melatonin level from low to high quintile array(Ptrend<0.05).(3)The sensitivity test analysis showed that E value was 2.117.Subgroup analysis showed that the study population with higher levels of luteinizing hormone in follicular fluid had a more significant association between follicular fluid melatonin and pregnancy rate in single-cycle in vitro fertilization-embryo transfer women(P interaction=0.008).(4)The results of restricted cubic spline model analysis showed that there was a nonlinear dose-response relationship between follicular fluid melatonin level and pregnancy rate of single-cycle in vitro fertilization-embryo transfer women(P<0.05),and there was an overall positive correlation between follicular fluid melatonin level and pregnancy rate of single-cycle in vitro fertilization-embryo transfer women.(5)The results of clinical decision curve analysis showed that the follicular fluid melatonin level had important clinical value in predicting the pregnancy rate of single-cycle in vitro fertilization-embryo transfer women.(6)Follicular fluid melatonin level is closely related to the pregnancy rate of single-cycle in vitro fertilization-embryo transfer women,and with the decrease of follicular fluid melatonin level,the pregnancy rate of single-cycle in vitro fertilization-embryo transfer women also decreases.

Objective Based on a novel type of cell death induced by disulfide stress,known as disulfidptosis,this study explores the role of long non-coding RNA(LncRNA)in gastric cancer and establishes a prognosis model re-lated to disulfidptosis,providing a new method for assessing the prognosis of gastric cancer treatment.Methods Transcriptomic data from gastric cancer and normal tissue samples were obtained from the public database TCGA,and disulfidptosis-related LncRNAs were selected through Pearson analysis and LASSO-Cox regression analysis.A relevant prognostic model for gastric cancer was constructed based on the above LncRNAs and validated by function-al enrichment analysis,tumour microenvironment and immune cell infiltration analysis,drug sensitivity analysis and quantitative reverse transcription PCR(RT-qPCR).Results In this study,400 disulfide death-associated LncR-NAs were identified and five of them were screened to construct a prognostic model for assessing the prognosis of gastric cancer patients.The models showed in validation that the survival of the high-risk score group was shorter than that of the low-risk score group(P＜0.05).In addition,the predictive ability of the prognostic model(AUC=0.725)was better than that based only on basic characteristics such as age and gender.The expression levels of disulfide death-associated LncRNAs differed between normal and gastric cancer tissues(P＜0.001).Conclusion The disulfidptosis-related LncRNA prognosis model developed in this study can effectively assess the prognosis of gastric cancer patients and the tumor microenvironment,providing potential targets and a theoretical basis for new immunotherapeutic strategies for gastric cancer.

Hyperkalemia is one of the common ion metabolism disorders in clinical practice. Hyperkalemia is defined as serum potassium higher than 5.0 mmol/L according to the guidelines at home and abroad. Acute severe hyperkalemia can cause serious consequences, such as flaccid paralysis, fatal arrhythmia, and even cardiac arrest. The use of renin-angiotensin- aldosterone system inhibitors, β-blockers and diuretics, low-sodium and high-potassium diets, and the presence of related comorbidities increase the occurrence of hyperkalemia. Hyperkalemia risk exist in all clinical departments, but there is a lack of a standardization in the management of multi- department cooperation in hospital. Therefore, a number of domestic nephrology and cardiology department experts have discussed a management model for multi-department cooperation in hyperkalemia, formulating the management standard on hospital evaluation, early warning, diagnosis and treatment, and process. This can promote each department to more effectively participate in nosocomial hyperkalemia diagnosis and treatment, as well as the long-term management of chronic hyperkalemia, improving the quality of hyperkalemia management in hospital.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.

Objective Comparative analysis of rule categories,key audit behaviors,and the degree of correspon-dence between rules and behaviors through intelligent auditing of key audit violations and monitoring of the rule base.To provide reference for the improvement of intelligent audit and monitoring rule library for key audit violations under DRG payment in medical insurance fund.Methods Searching and collecting policy documents such as DRG payment management methods issued by local health insurance bureaus from May 20,2019 to December 31,2023 and the literature related to DRG payment smart audit monitoring rules in the database,and targeting the rules therein that are related to the focus on auditing irregularities under the DRG payment.Literature analysis and comparative analysis were used to summarize and analyze the rules related to key audit violations under DRG payment.Results The intelli-gent audit rules for key audit violations under DRG payment can be divided into two major categories:logical judg-ment and parameter index,and the degree of correspondence between audit rules and key audit behaviors varies.Conclusion(1)Unify the key audit rules nationwide to ensure the universality and comprehensiveness of the rules;(2)Deepen the current situation of regional illegal activities and strengthen local characteristics;(3)Improve the quality of logical judgment rules and increase the quantity of parameter indicator rules;(4)Strengthen scientific re-search on new types of violations,and establish more targeted regulatory rules.