ObjectiveTo observe the effectiveness and safety of Xingeng No.Ⅱ Granules （心梗2号颗粒剂） in preventing and treating left ventricular remodeling in patients with qi deficiency and blood stasis syndrome following percutaneous coronary intervention （PCI） for ST-segment elevation myocardial infarction （STEMI）. MethodsIn this randomized controlled trial， patients with qi deficiency and blood stasis syndrome after PCI for STEMI were randomly assigned to treatment group and control group at a 1∶1 ratio， with 66 patients in each group. In the control group， patients only received conventional western medicine after surgery， while the treatment group additionally received the granules （8 g per dose， twice daily）， for a treatment duration of 8 weeks in both groups. The primary outcome was the incidence of left ventricular remodeling within 6 months after surgery. The secondary outcomes were the incidence of major adverse cardiovascular and cerebrovascular events （MACCE） within 6 months， all-cause mortality， stent thrombosis， BARC Ⅲ and V bleeding events， rehospitalization due to acute heart failure， and severe complications of STEMI. Traditional Chinese medicine （TCM） syndrome scores at 1 day and 1， 2， and 6 months after surgery was evaluated. Adverse events during the study were recorded to evaluate safety. ResultsSix cases dropped out from both the treatment group and the control group. The full analysis set （FAS） analysis showed that the incidence of left ventricular remodeling in the treatment group was 16.67% （11/66）， significantly lower than 40.91% （27/66） in the control group （P=0.004）. The per protocol set （PPS） analysis also showed lower incidence of left ventricular remodeling in the treatment group （20.37%， 11/54） than in the control group （49.09%， 27/55） with significant difference （P=0.002）. Within 6 month after surgery， 0 patients in the treatment group and 4 out of 60 patients （6.67%） in the control group were readmitted to hospital for acute heart failure， with significantly higher rate in the control group （P=0.042）. Neither group of patients experienced recurrent myocardial infarction， target vessel revascularization， in-stent thrombosis， or severe complications of STEMI. There was no statistically significant difference between groups in the incidence of stroke， cardiovascular mortality， all-cause mortality， BARC Ⅲ and V bleeding events （P＞0.05）. At 1 day after surgery， there was no statistically significant difference in TCM syndrome score between the groups （P＞0.05）； while 1， 2 and 6 months after surgery， TCM syndrome score in the treatment group was significantly lower than that in the control group （P＜0.05）. Analysis of the safety dataset （SS） showed that the incidence of adverse events in the treatment group was 7.41% （4/60）， while in the control group it was 16.36% （9/57）， showing no statistically significant difference （P = 0.117）. ConclusionIn addition to conventional western medicine， Xingeng No.Ⅱ Granules can reduce the incidence of left ventricular remodeling and the incidence of rehospitalization due to acute heart failure in STEMI patients with qi deficiency and blood stasis syndrome after PCI， with good safety profile.

Based on the pharmacokinetics theory, this study investigated the pharmacokinetic characteristics of albiflorin, paeoniflorin, wogonoside, and wogonin in normal and febrile rats and summarized absorption and elimination rules of Dayuanyin in them to provide reference for further development and clinical application of Dayuanyin. Blood samples were taken from the fundus venous plexus of normal and model rats after intragastric administration of Dayuanyin at different time points. The concentration of each substance in blood was determined by ultra performance liquid chromatography-triple quadrupole mass spectrometry(UPLC-MS/MS) technique at different time points. DAS 2.0, a piece of pharmacokinetics software, was used to calculate the pharmacokinetic parameters of each component. The results show that the 4 components had good linear relationship in their respective ranges, and the results of methodological investigation met the requirements. The pharmacokinetic parameters of C_(max), T_(max), t_(1/2), AUC_(0-t), AUC_(0-∞), and MRT_(0-t) were calculated by the DAS 2.0 non-compartmental model. Compared with those in the normal group, C_(max) and AUC_(0-t) of the 4 components in the model group were significantly increased. There were significant differences in the pharmacokinetic characteristics between the normal and model groups, suggesting that the absorption and elimination of Dayuanyin may be affected by the changes of internal environment of the body in different physiological states.
Animals ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rats, Sprague-Dawley ; Fever/metabolism* ; Tandem Mass Spectrometry ; Chromatography, High Pressure Liquid ; Glucosides/pharmacokinetics* ; Monoterpenes

Objective:To establish a preliminary performance validation protocol for the bioinformatics procedure of metagenomic next-generation sequencing (mNGS) in clinical laboratories.Methods:Three types of simulated datasets were designed and the CatⅠ dataset mainly consisted of pathogen reference genomes and human sequences. CatⅠA was a dataset composed of common pathogens mixed with human sequences and was used to evaluate the inclusiveness, accuracy, recall rates, precision, F1-Score, and other indicators of the mNGS bioinformatics procedure. CatⅠB was a dataset composed of closely related species of common pathogens mixed with human sequences, which was used to evaluate the discriminating ability of closely related species of bioinformatics procedure by calculating the detection rates and the relative abundance ratio of closely related species. The real data of 200 clinical samples was selected to construct CatⅡ and the simulated dataset consisted of colonized bacteria, experimental environment bacteria, reagent engineering bacteria, pathogen reference genomes, and human sequences, which was used to evaluate the sensitivity, specificity, and accuracy of bioinformatics pipeline for pathogens detection. The CatⅢ dataset was obtained from the negative bronchoalveolar lavage fluid BALF sequencing data mixed with 20 rare pathogens sequences in order to evaluate the positive detection rates and recall rates of rare pathogens in the bioinformatics analysis.Results:The analysis of the CatⅠA dataset showed that the positive consistency rate, inclusiveness, precision and accuracy of the bioinformatics peocedure under three sequence gradients were all greater than 99%, with a recall rate of 72.31% (95% CI 69.61%-75.01%) and a F1 Score of 82.00% (95% CI 79.77%-84.22%). In the CatⅠB dataset, the closely related species could be effectively detected at all sequence and proportion gradients, and the relative abundance ratio of closely related species was within 2 times of the design ratio except for the coronavirus, haemophilus, primate bocaparvovirus, human respiratory syncytial virus, and eimeria, indicating good ability to identify the closely related species. All the 24 species of pathogens included in CatⅡ dataset were effectively detected, with the sensitivity, specificity, and accuracy all greater than 90%. All rare pathogens were detected in the CatⅢ dataset, with a detection rate of 100%. Conclusions:With the simulated datasets, the performance validation scheme for the mNGS bioinformatics analysis was preliminary established and could evaluate the accuracy of sequence classification, the ability to identify the closely related species, and detection ability of common and rare pathogens, which may provide some references for the construction of mNGS process.

To review the clinical characteristics, short-term outcomes, and risk factors of patients with infective endocarditis(IE) who underwent surgical treatment at a single center, and to summarize treatment experience.

Objective To establish a performance verification scheme for the metagenomic next-generation sequencing(mNGS)DNA workflow.Methods Reference materials and clinical samples were used for conducting experiments.The mNGS detection results were evaluated in terms of limit of detection(LOD),repeatability,robustness,anti-interference ability,specificity and accuracy,as well as the patterns of library construction and the performance of sequencers.Results All species in the reference materials were stably detected,and the LOD of mNGS was 5.0E+02 CFU/mL(copies/mL).The repeatability was 100％and the within-batch(coefficient of variation)CV ranged from 8.53％to 38.73％.The linear correlation coefficient|r|＞0.9 was found between the input pathogenic microorganism concentration and the read count.Meanwhile,the experimental robustness was found to be good.The results of the anti-interference test showed that the higher concentration of human DNA inputted,the fewer pathogenic microorganism read counts detected by mNGS.Meanwhile,the read counts of related species presented a proportional relationship with the corresponding pathogenic microorganisms concentration inputted,which meant the validation of the cross-interference test had been passed.Furthermore,the detection result of D0 was negative.The accuracy of clinical samples testing was 90.9％(10/11).In addition,the library quality control results obtained by the automatic liquid handling workstation and manually operation were all acceptable.The performance of the three Illumina sequencers met or were better than the factory standards.Conclusion The clinical laboratory performance verification scheme for mNGS detection was established,which included the design for reference materials,comparison of different patterns for library construction,and performance evaluation of the sequencers.More importantly,the performance verification scheme can be used to evaluate and ensure the quality of mNGS DNA workflow detection process.

Objective To investigate the causal relationship between psychiatric and psychological disorders(depression,bipolar dis-order,and schizophrenia)and non-alcoholic fatty liver disease(NAFLD).Methods The two-sample Mendelian randomization(MR)method was adopted,with depression,bipolar disorder,and schizophrenia as exposure variables and NAFLD as the outcome variable.The single nucleotide polymorphisms(SNPs)independently associated with exposure variables were obtained from the summary data of the genome-wide association study(GWAS)as instrumental variables for MR analysis.The analysis results of the inverse-variance weighted(IVW)were used as the primary outcome indicators,while those of the MR Egger regression method,weighted median,and weighted mode as supplementary results.The Cochran's Q test,MR-Egger intercept,and"leave-one-out"method were used for sensi-tivity analysis.Results The results of IVW analysis showed that depression was positively correlated with the incidence risk of NAFLD(OR=1.21,95％CI:1.01-1.44,P＜0.05),while bipolar disorder was negatively correlated with the incidence risk of NAFLD(OR=0.91,95％CI:0.84-1.00,P＜0.05).No causal relationship was found between schizophrenia and NAFLD.The heterogeneity and sen-sitivity analysis supported the robustness of the results of the study.Conclusion Depression and bipolar disorder are causally associat-ed with the incidence of NAFLD.Depression is associated with an increased risk of NAFLD,while bipolar disorder is associated with a reduced risk of NAFLD.

Objective To investigate the causal relationship between psychiatric and psychological disorders(depression,bipolar dis-order,and schizophrenia)and non-alcoholic fatty liver disease(NAFLD).Methods The two-sample Mendelian randomization(MR)method was adopted,with depression,bipolar disorder,and schizophrenia as exposure variables and NAFLD as the outcome variable.The single nucleotide polymorphisms(SNPs)independently associated with exposure variables were obtained from the summary data of the genome-wide association study(GWAS)as instrumental variables for MR analysis.The analysis results of the inverse-variance weighted(IVW)were used as the primary outcome indicators,while those of the MR Egger regression method,weighted median,and weighted mode as supplementary results.The Cochran's Q test,MR-Egger intercept,and"leave-one-out"method were used for sensi-tivity analysis.Results The results of IVW analysis showed that depression was positively correlated with the incidence risk of NAFLD(OR=1.21,95％CI:1.01-1.44,P＜0.05),while bipolar disorder was negatively correlated with the incidence risk of NAFLD(OR=0.91,95％CI:0.84-1.00,P＜0.05).No causal relationship was found between schizophrenia and NAFLD.The heterogeneity and sen-sitivity analysis supported the robustness of the results of the study.Conclusion Depression and bipolar disorder are causally associat-ed with the incidence of NAFLD.Depression is associated with an increased risk of NAFLD,while bipolar disorder is associated with a reduced risk of NAFLD.

Objective To establish a performance verification scheme for the metagenomic next-generation sequencing(mNGS)DNA workflow.Methods Reference materials and clinical samples were used for conducting experiments.The mNGS detection results were evaluated in terms of limit of detection(LOD),repeatability,robustness,anti-interference ability,specificity and accuracy,as well as the patterns of library construction and the performance of sequencers.Results All species in the reference materials were stably detected,and the LOD of mNGS was 5.0E+02 CFU/mL(copies/mL).The repeatability was 100％and the within-batch(coefficient of variation)CV ranged from 8.53％to 38.73％.The linear correlation coefficient|r|＞0.9 was found between the input pathogenic microorganism concentration and the read count.Meanwhile,the experimental robustness was found to be good.The results of the anti-interference test showed that the higher concentration of human DNA inputted,the fewer pathogenic microorganism read counts detected by mNGS.Meanwhile,the read counts of related species presented a proportional relationship with the corresponding pathogenic microorganisms concentration inputted,which meant the validation of the cross-interference test had been passed.Furthermore,the detection result of D0 was negative.The accuracy of clinical samples testing was 90.9％(10/11).In addition,the library quality control results obtained by the automatic liquid handling workstation and manually operation were all acceptable.The performance of the three Illumina sequencers met or were better than the factory standards.Conclusion The clinical laboratory performance verification scheme for mNGS detection was established,which included the design for reference materials,comparison of different patterns for library construction,and performance evaluation of the sequencers.More importantly,the performance verification scheme can be used to evaluate and ensure the quality of mNGS DNA workflow detection process.

Objective:To establish a preliminary performance validation protocol for the bioinformatics procedure of metagenomic next-generation sequencing (mNGS) in clinical laboratories.Methods:Three types of simulated datasets were designed and the CatⅠ dataset mainly consisted of pathogen reference genomes and human sequences. CatⅠA was a dataset composed of common pathogens mixed with human sequences and was used to evaluate the inclusiveness, accuracy, recall rates, precision, F1-Score, and other indicators of the mNGS bioinformatics procedure. CatⅠB was a dataset composed of closely related species of common pathogens mixed with human sequences, which was used to evaluate the discriminating ability of closely related species of bioinformatics procedure by calculating the detection rates and the relative abundance ratio of closely related species. The real data of 200 clinical samples was selected to construct CatⅡ and the simulated dataset consisted of colonized bacteria, experimental environment bacteria, reagent engineering bacteria, pathogen reference genomes, and human sequences, which was used to evaluate the sensitivity, specificity, and accuracy of bioinformatics pipeline for pathogens detection. The CatⅢ dataset was obtained from the negative bronchoalveolar lavage fluid BALF sequencing data mixed with 20 rare pathogens sequences in order to evaluate the positive detection rates and recall rates of rare pathogens in the bioinformatics analysis.Results:The analysis of the CatⅠA dataset showed that the positive consistency rate, inclusiveness, precision and accuracy of the bioinformatics peocedure under three sequence gradients were all greater than 99%, with a recall rate of 72.31% (95% CI 69.61%-75.01%) and a F1 Score of 82.00% (95% CI 79.77%-84.22%). In the CatⅠB dataset, the closely related species could be effectively detected at all sequence and proportion gradients, and the relative abundance ratio of closely related species was within 2 times of the design ratio except for the coronavirus, haemophilus, primate bocaparvovirus, human respiratory syncytial virus, and eimeria, indicating good ability to identify the closely related species. All the 24 species of pathogens included in CatⅡ dataset were effectively detected, with the sensitivity, specificity, and accuracy all greater than 90%. All rare pathogens were detected in the CatⅢ dataset, with a detection rate of 100%. Conclusions:With the simulated datasets, the performance validation scheme for the mNGS bioinformatics analysis was preliminary established and could evaluate the accuracy of sequence classification, the ability to identify the closely related species, and detection ability of common and rare pathogens, which may provide some references for the construction of mNGS process.

[Objective] To investigate the status and epidemiological characteristics of suspected acute respiratory tract infection (ARIS) in children at The First Affiliated Hospital of Xi’an Jiaotong University from July 2023 to June 2024, so as to provide evidence for the prevention and treatment of children in this area. [Methods] A total of 12 169 throat swab samples were collected from children with ARIS during this period, including 6 535 male children and 5 634 female children, with an age of M(Q1, Q3) of 6(3, 9) years old. Six types of respiratory pathogens were detected by multiple real-time fluorescence quantitative PCR. The children were grouped according to sex and age. Differences among groups were analyzed by χ² test, and epidemic characteristics of respiratory pathogens were explored from the perspectives of time dimension and infection type. [Results] Among the 12 169 samples, 8 241 were positive for six respiratory pathogens with a positive rate of 67.72% of which 6 823 (56.07%) were detected with single infection and 1 418 (11.65%) were detected with multiple infection. The detection rate of mycoplasma pneumonia (MP) ranked first (21.81%). Among the six pathogens, only human rhinovirus (HRV) showed statistically significant differences in gender (P=0.003). There were significant differences in the pathogens detection rate between the age groups (P<0.001), with the highest pathogens detection rate in the 6-14 years of age group (72.49%). In terms of monthly pathogen detection rate, there showed statistical differences between different months (P<0.001); except HRV, which had two peak detection rates throughout the year, the other five pathogens had only one peak detection rate and the peak months were not completely overlapping. The monthly pathogen detection rate in each age group showed a trend consistent with the overall trend, but in all months of the year, adenovirus (ADV) and MP showed higher detection rates in the age group of 3-14 years, while respiratory syncytial virus (RSV) showed higher detection rates in the age group of <3 years. Among 8 241 children infected with respiratory pathogens, the proportion of fifteen types of dual infections showed significant statistical differences (P<0.001) and ADV+ MP co-infection accounted for the highest proportion (4.02%). There were significant differences in the proportion of dual infection types among different age groups. HRV+ RSV co-infection was the highest pattern in the <1 year group (1.55%) and the 1-<3 years group (1.77%). while ADV+ MP was the most common type of co-infection in 3-<6 years group (2.94%) and 6-14 years group (5.26%). [Conclusion] Between 2023 and 2024, the pathogen patterns of respiratory tract infection of children in Xi’an were mainly single infection type and the detection rate of MP was the highest. With the increase of age, the detection rates of ADV, influenza virus B and MP increased, but RSV decreased. Except HRV, which had two peak detection rates in spring and autumn, the other five pathogens showed a trend of "staggered outbreaks" in winter and spring. While the multiple infection types were mostly dual infection, HRV+ RSV co-infection was the dominant infection type in infants (<3 years), while ADV+ MP co-infection was the dominant infection type in school-age children (3-14 years).