Objective To develop the value of machine learning(ML)models based on contrast-transthoracic echocardiography(cTTE)and transesophageal echocardiography(TEE)combined with clinical and laboratory indicators for predicting patent foramen ovale-associated stroke(PFO-AS).Methods Totally 313 patients with PFO diagnosed with cTTE and TEE were retrospectively enrolled.Among them,65 cases were found complicated with ischemic stroke and confirmed as PFO-AS(PFO-AS group),and the rest 248 cases without ischemic stroke were classified as non-PFO-AS group.The patients were divided into training set(n=219,including 48 cases of PFO-AS and 171 cases of non-PFO-AS)and test set(n=94,including 17 cases of PFO-AS and 77 cases of non-PFO-AS)at the ratio of 7∶3.Univariable and multivariable logistic regression(LR)were used to analyze clinical and laboratory indicators as well as cTTE and TEE parameters in training set to screen independent predictive factors of PFO-AS.ML models,including LR,K-nearest neighbor(KNN),support vector machine(SVM),random forest(RF),decision tree(DT),back propagation neural network(BPNN)and gradient boosting machine(GBM)were constructed,and the predictive efficacy of the models for predicting PFO-AS was evaluated,then the optimal model was selected.Results Patient's age＞49-69 years,with smoking history,plasma albumin≥43.8 g/L,significant right-to-left shunt at rest shown on cTTE and complicated atrial septal aneurysm shown on TEE were all independent predictors of PFO-AS,which were used to construct ML models.The area under the curve(AUC)of LR,KNN,SVM,RF,DT,BPNN and GBM models in training set was 0.779-0.853,while in test set was 0.730-0.877.RF model had relatively high and comparable sensitivity,specificity and AUC in both training and test sets,also higher precision and smaller Brier score in test set,hence was regarded as the optimal ML model.Conclusion RF model based on cTTE and TEE combined with clinical and laboratory indicators could be used to effectively predict PFO-AS.

Objective To develop the value of machine learning(ML)models based on contrast-transthoracic echocardiography(cTTE)and transesophageal echocardiography(TEE)combined with clinical and laboratory indicators for predicting patent foramen ovale-associated stroke(PFO-AS).Methods Totally 313 patients with PFO diagnosed with cTTE and TEE were retrospectively enrolled.Among them,65 cases were found complicated with ischemic stroke and confirmed as PFO-AS(PFO-AS group),and the rest 248 cases without ischemic stroke were classified as non-PFO-AS group.The patients were divided into training set(n=219,including 48 cases of PFO-AS and 171 cases of non-PFO-AS)and test set(n=94,including 17 cases of PFO-AS and 77 cases of non-PFO-AS)at the ratio of 7∶3.Univariable and multivariable logistic regression(LR)were used to analyze clinical and laboratory indicators as well as cTTE and TEE parameters in training set to screen independent predictive factors of PFO-AS.ML models,including LR,K-nearest neighbor(KNN),support vector machine(SVM),random forest(RF),decision tree(DT),back propagation neural network(BPNN)and gradient boosting machine(GBM)were constructed,and the predictive efficacy of the models for predicting PFO-AS was evaluated,then the optimal model was selected.Results Patient's age＞49-69 years,with smoking history,plasma albumin≥43.8 g/L,significant right-to-left shunt at rest shown on cTTE and complicated atrial septal aneurysm shown on TEE were all independent predictors of PFO-AS,which were used to construct ML models.The area under the curve(AUC)of LR,KNN,SVM,RF,DT,BPNN and GBM models in training set was 0.779-0.853,while in test set was 0.730-0.877.RF model had relatively high and comparable sensitivity,specificity and AUC in both training and test sets,also higher precision and smaller Brier score in test set,hence was regarded as the optimal ML model.Conclusion RF model based on cTTE and TEE combined with clinical and laboratory indicators could be used to effectively predict PFO-AS.

Objective To establish a high performance liquid chromatographic(HPLC)method for the determination of chidamide in human plasma.Methods The plasma sample was taken as 500 μL,and triamcinolone was used as the internal standard.After liquid-liquid extraction using methyl tert-butyl ether,the supernatant was centrifuged and blown dry under N2,then re-dissolved in 50 μL of water,and then centrifuged again,and then 10 μL of the supernatant was injected into the system.The separation was performed on a Shim-pack CLC-ODS(150 mm×60 mm,5 μm)at 35 ℃ using water-acetonitrile=(74∶26,v/v,adjusted to pH=3 by acetic acid)as mobile phase.The flow rate was 1.0 mL·min-1 and the wavelength was 260 nm.The specificity,standard curve,lower limit of quantitation,precision,recovery and stability of the method were investigated.In addition,the high performance liquid chromatography method described above was applied to determine the plasma drug concentration after oral administration of chidamide in one patient.Results The retention time of chidamide and internal standard was 8.00 and 9.40 min,respectively.The standard curve equation was y=10.28x-0.06(r=0.998).The intra-day and inter-day precision(RSD)of low,medium and high concentration quality control samples(0.02,0.15,0.75 μg·mL-)were 1.00％-4.87％(n=6),and the accuracy was-10.29％-3.37％.The average extraction recovery was 61.74％-69.85％.Conclusion The method was simple,sensitive and accurate,suitable for monitoring the concentrations of chidamide in human plasma.

Objective To establish a high performance liquid chromatographic(HPLC)method for the determination of chidamide in human plasma.Methods The plasma sample was taken as 500 μL,and triamcinolone was used as the internal standard.After liquid-liquid extraction using methyl tert-butyl ether,the supernatant was centrifuged and blown dry under N2,then re-dissolved in 50 μL of water,and then centrifuged again,and then 10 μL of the supernatant was injected into the system.The separation was performed on a Shim-pack CLC-ODS(150 mm×60 mm,5 μm)at 35 ℃ using water-acetonitrile=(74∶26,v/v,adjusted to pH=3 by acetic acid)as mobile phase.The flow rate was 1.0 mL·min-1 and the wavelength was 260 nm.The specificity,standard curve,lower limit of quantitation,precision,recovery and stability of the method were investigated.In addition,the high performance liquid chromatography method described above was applied to determine the plasma drug concentration after oral administration of chidamide in one patient.Results The retention time of chidamide and internal standard was 8.00 and 9.40 min,respectively.The standard curve equation was y=10.28x-0.06(r=0.998).The intra-day and inter-day precision(RSD)of low,medium and high concentration quality control samples(0.02,0.15,0.75 μg·mL-)were 1.00％-4.87％(n=6),and the accuracy was-10.29％-3.37％.The average extraction recovery was 61.74％-69.85％.Conclusion The method was simple,sensitive and accurate,suitable for monitoring the concentrations of chidamide in human plasma.

italic>Rehmannia glutinosa belongs to the Scrophulariaceae family with important medicinal value. In order to effectively explore the transcriptome information of R. glutinosa and identify the genes encoding enzymes involved in phenylethanol glycoside (PhGs) biosynthesis, the leaves, stems and tuberous roots of R. glutinosa were used for transcriptome sequencing using Pacific Biosiences RS II platform. A total of 27 773 transcripts were generated with an average length of 2 380 bp, and 27 236 coding sequences (CDS) were predicted. Using BLAST software, non-redundant transcript sequences were annotated with NR, NT, GO, COG, KEGG, SwissProt and Interpro databases and a total of 27 399 annotated genes were obtained. Among them, the number of genes related to Sesamum indicum in the NR database was the highest (81.44%), which is consistent with their evolutionary relationship. Enzymes likely involved in the biosynthesis of isoacteoside, echinacoside, cistanosides A, cistanosides F, 2′-acetylacteoside and leonoside F were identified, and 143 genes were identified in R. glutinosa full-length transcriptome. The expression levels of 19 genes correlated with acteoside content in twelve tissues of R. glutinosa, and most showed higher expression levels in leaf tissues and floral organs. This study provides more reliable transcriptome data for screening R. glutinosa for functional genes and provides a foundation for the study of the molecular mechanisms of PhGs biosynthesis.

Parkinson disease (PD) is the second-most common neurodegenerative disorder. Its main pathological mechanism is the selective degeneration and deletion of dopaminergic neurons in the dense part of the substantia nigra and the damage of dopaminergic neurons caused by the abnormal deposition of a Lewy body, leading to a decreased dopamine level. Positron emission computed tomography (PET)/single photon emission computed tomography (SPECT) is a molecular imaging technology that can directly or indirectly reflect changes in molecular levels by using a specific tracer. With the research and development on the tracers of related enzymes for labeling dopamine transporter and dopamine receptor and for being involved in dopamine formation, this imaging technology has been applied to all aspects of PD research. It not only contributes to clinical work but also provides an important theoretical basis for exploring the pathological mechanism of PD at a molecular level. Therefore, this review discusses the application value of PET/SPECT in PD in terms of early diagnosis, disease severity evaluation, clinical manifestations, differential diagnosis, and pathological mechanism.

OBJECTIVE: To investigate the gene mutation in adult patients with B-ALL and its influence on clinical prognosis. METHODS: Clinical data of 226 adult patients with B-ALL were retrospectively analyzed in the period from August 2011 to February 2018. The incidence of gene mutation in all patients were detected, and the influence of mutation gene on clinical prognosis were estimated. Cox regression model were used to evaluate the independent prognostic factors. RESULTS: 208 (92.04%) of 226 patients showed gene mutations, and the median mutation number was 2 (0-8). Among them, 54 cases (23.89%) showed 14 or more mutations. The top five mutation types of all patients were SF1, FAT1, MPL, PTPNII and N-RAS respectively. The median OS and median RFS times of 226 patients were 27.0 (5.5-84.0) months and 22.5 (0-81.0) months respectively. The OS and RFS times of Ph CONCLUSION Gene mutations are common in all adult B-ALL patients, and the clinical prognosis of patients with JAK and epigenetics-related signaling pathway mutations is worsen, while the WBC level closely relates to the clinical prognosis of the patients.
Adult ; Humans ; Mutation ; Patients ; Prognosis ; Proportional Hazards Models ; Retrospective Studies

BACKGROUNDInterleukin (IL)-37, also called IL1F7, is a natural inhibitor of inflammatory and immune responses. It is involved in the pathogenesis of rheumatoid arthritis (RA). This study aimed to investigate the role of IL1F7 gene polymorphism in RA susceptibility in a large cohort of patients.

METHODSFive selected single-nucleotide polymorphisms in IL1F7 genes (rs2723186, rs3811046, rs4241122, rs4364030, and rs4392270) were genotyped by TaqMan Allelic Discrimination in Northern Chinese Han population. The allele and the genotype were compared between patients with RA and healthy controls. Association analyses were performed on the entire data set and on different RA subsets based on the status of the anti-cyclic citrullinated peptide antibody and the rheumatoid factor by logistic regression, adjusting for age and gender.

RESULTSTrend associations were detected between rs2723186, rs4241122, rs4392270, and RA in Stage I (160 patients with RA; 252 healthy controls). Further validation in Stage II comprised 730 unrelated patients with RA (mean age: 54.9 ± 12.6 years; 81.6% females) and 778 unrelated healthy individuals (mean age: 53.5 ± 15.7 years; 79.5% females). No significant differences in the distributions of alleles and genotypes were observed between the case and control groups in both the entire set and the different RA subsets. Disease activity and age of RA onset were also not associated with genotype distributions.

CONCLUSIONIL1F7 gene polymorphism does not significantly influence RA susceptibility in the Northern Chinese Han population.

BACKGROUND: Interleukin (IL)-37, also called IL1F7, is a natural inhibitor of inflammatory and immune responses. It is involved in the pathogenesis of rheumatoid arthritis (RA). This study aimed to investigate the role of IL1F7 gene polymorphism in RA susceptibility in a large cohort of patients. METHODS: Five selected single-nucleotide polymorphisms in IL1F7 genes (rs2723186, rs3811046, rs4241122, rs4364030, and rs4392270) were genotyped by TaqMan Allelic Discrimination in Northern Chinese Han population. The allele and the genotype were compared between patients with RA and healthy controls. Association analyses were performed on the entire data set and on different RA subsets based on the status of the anti-cyclic citrullinated peptide antibody and the rheumatoid factor by logistic regression, adjusting for age and gender. RESULTS: Trend associations were detected between rs2723186, rs4241122, rs4392270, and RA in Stage I (160 patients with RA; 252 healthy controls). Further validation in Stage II comprised 730 unrelated patients with RA (mean age: 54.9 ± 12.6 years; 81.6% females) and 778 unrelated healthy individuals (mean age: 53.5 ± 15.7 years; 79.5% females). No significant differences in the distributions of alleles and genotypes were observed between the case and control groups in both the entire set and the different RA subsets. Disease activity and age of RA onset were also not associated with genotype distributions. CONCLUSION IL1F7 gene polymorphism does not significantly influence RA susceptibility in the Northern Chinese Han population.
Adult ; Aged ; Arthritis, Rheumatoid ; genetics ; Asian Continental Ancestry Group ; genetics ; Case-Control Studies ; China ; ethnology ; Female ; Genetic Predisposition to Disease ; Genotype ; Humans ; Interleukin-1 ; genetics ; Male ; Middle Aged ; Polymorphism, Single Nucleotide