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Objective@#Schizophrenia (SCZ) is a severe psychiatric disorder with unknown etiology and lacking specific biomarkers. Herein, we aimed to explore plasma biomarkers relevant to SCZ using targeted metabolomics. @*Methods@#Sixty drug-naïve SCZ patients and 36 healthy controls were recruited. Psychotic symptoms were assessed using the Positive and Negative Syndrome Scale. We analyzed the levels of 271 metabolites in plasma samples from all subjects using targeted metabolomics, and identified metabolites that differed significantly between the two groups. Then we evaluated the diagnostic power of the metabolites based on receiver operating characteristic curves, and explored metabolites associated with the psychotic symptoms in SCZ patients. @*Results@#Twenty-six metabolites showed significant differences between SCZ patients and healthy controls. Among them, 12 metabolites were phosphatidylcholines and cortisol, ceramide (d18:1/22:0), acetylcarnitine, and γ-aminobutyric acid, which could significantly distinguish SCZ from healthy controls with the area under the curve (AUC) above 0.7. Further, a panel consisting of the above 4 metabolites had an excellent performance with an AUC of 0.867. In SCZ patients, phosphatidylcholines were positively related with positive symptoms, and cholic acid was positively associated with negative symptoms. @*Conclusion@#Our study provides insights into the metabolite alterations associated with SCZ and potential biomarkers for its diagnosis and symptom severity assessment.
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The pulse amplitude of fingertip volume could be improved by selecting the vascular dense area and applying appropriate pressure above it. In view of this phenomenon, this paper used Comsol Multiphysics 5.6 (Comsol, Sweden), the finite element analysis software of multi-physical field coupling simulation, to establish the vascular tissue model of a single small artery in fingertips for simulation. Three dimensional Navier-Stokes equations were solved by finite element method, the velocity field and pressure distribution of blood were calculated, and the deformation of blood vessels and surrounding tissues was analyzed. Based on Lambert Beer's Law, the influence of the longitudinal compression displacement of the lateral light surface region and the tissue model on the light intensity signal is investigated. The results show that the light intensity signal amplitude could be increased and its peak value could be reduced by selecting the area with dense blood vessels. Applying deep pressure to the tissue increased the amplitude and peak of the signal. It is expected that the simulation results combined with the previous experimental experience could provide a feasible scheme for improving the quality of finger volume pulse signal.
Subject(s)
Computer Simulation , Fingers , Finite Element Analysis , Skin , SoftwareABSTRACT
Objective@#To evaluate the association between NLRP2(NLR Family Pyrin Domain Containing 2) gene polymorphisms and classical type 1 diabetes mellitus(T1DM) in Chinese Han population.@*Methods@#A case-control study was conducted in 510 classical T1DM patients from the Department of Metabolism and Endocrinology in the Second Xiangya Hospital affiliated to Central South University and 531 healthy controls in this region. The polymorphisms of rs1043673 in NLRP2 gene were analyzed by MassARRAY. Mann-Whitney U test and χ2 test were used to compare the differences between patients and controls. Logistic regression analysis and χ2 test were performed to compare the distributions of the alleles and genotypes between T1DM patients and controls. Kruskal-Wallis H test was used to compare the clinical characteristics of different genotypes in T1D patients.@*Results@#The differences of the allele and genotype distributions in rs1043673 of NLRP2 gene were not significant between patients and controls. The polymorphisms of rs1043673 were associated with fasting C-peptide(P=0.029), postprandial 2-h C-peptide(P=0.017), and titer of GADA(P=0.043) in T1DM patients.@*Conclusion@#The polymorphisms of NLRP2 gene were associated with the characteristics of T1DM patients.
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Objective:To evaluate the association between NLRP2(NLR Family Pyrin Domain Containing 2) gene polymorphisms and classical type 1 diabetes mellitus(T1DM) in Chinese Han population.Methods:A case-control study was conducted in 510 classical T1DM patients from the Department of Metabolism and Endocrinology in the Second Xiangya Hospital affiliated to Central South University and 531 healthy controls in this region. The polymorphisms of rs1043673 in NLRP2 gene were analyzed by MassARRAY. Mann- Whitney U test and χ2 test were used to compare the differences between patients and controls. Logistic regression analysis and χ2 test were performed to compare the distributions of the alleles and genotypes between T1DM patients and controls. Kruskal- Wallis H test was used to compare the clinical characteristics of different genotypes in T1D patients. Results:The differences of the allele and genotype distributions in rs1043673 of NLRP2 gene were not significant between patients and controls. The polymorphisms of rs1043673 were associated with fasting C-peptide( P=0.029), postprandial 2-h C-peptide( P=0.017), and titer of GADA( P=0.043) in T1DM patients. Conclusion:The polymorphisms of NLRP2 gene were associated with the characteristics of T1DM patients.
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With the rapid development of transgenic technology, the safety of genetically modified products has received extensive attention. Certified reference materials for the detection of genetically modified organisms play important roles in ensuring comparability and traceability of the qualitative and quantitative detection of genetically modified products. However, the development of protein reference materials is relatively slow, and one of the difficulties is the preparation of protein candidates with high purity. The cry1Ah1 gene of Bacillus thuringiensis has been used for the development of transgenic insect-resistant crops because of its excellent insecticidal activity against lepidopteran pests such as Asian corn borer, and has obtained transgenic lines with good insect resistance traits. In order to develop Cry1Ah protein certified reference material, it is urgent to establish a preparation and purification system. In this study, a system for preparing Cry1Ah protein by Bt expression system was optimized, and a high-purity Cry1Ah protein (size exclusion chromatography purity: 99.6%) was obtained by ion-exchange chromatography and size exclusion chromatography stepwise purification. The results of biological activity assay showed that there was no significant difference in the insecticidal activity of purified Cry1Ah protein and protoxin against diamondback moths (Plutella xylostella). Finally, the amino acid sequence of the activated Cry1Ah protein was determined using Edman degradation and mass spectrometry. In summary, the obtained Cry1Ah pure protein can be used for the development of protein reference materials.
Subject(s)
Animals , Bacillus thuringiensis , Bacterial Proteins , Cryptochromes , Metabolism , Endotoxins , Hemolysin Proteins , Moths , Pest Control, Biological , Plants, Genetically ModifiedABSTRACT
Objective To investigate the correlations of serum prealbumin and albumin with the shortterm outcome in patients with acute cerebral infarction in different age groups.Methods Patients with acute ischemic stroke admitted to hospital with 48 h were prospectively enrolled in the study.The modified Rankin Scale was used to assess the functional outcomes at 14 d after onset,0-2 was defined as a good outcome.According to the age of the patients,they were divided into either a young and middle-aged group (＜ 60 years) or an elderly group (≥60 years).The demography,baseline clinical data and laboratory findings of the patients were compared in the overall patients and the different age groups between the good outcome group and the poor outcome group.Multivariate logistic regression analysis was used to determine the independent influencing factors of short-term outcomes.Results A total of 622 patients with acute ischemic stroke were enrolled,including 402 (64.6％) males and 220 (35.4％) females;206 (33.1％) were in the young and middle-aged group,and 416 (66.9％) were in the elderly group;310 (49.8％) had good outcomes and 312 (50.2％) had poor outcomes.There were significant differences in the proportions of patients in male,old people,hyperlipidemia,diabetes mellitus,history of previous stroke or transient ischemic attack (TIA),as well as age,body mass index,levels of prealbumin,albumin,triglyceride,high-density lipoprotein cholesterol low-density lipoprotein cholesterol total bilirubin,direct bilirubin,indirect bilirubin,urea nitrogen,and uric acid between the good outcome group and the poor outcome group (all P ＜0.05).Multivariate logistic regression analysis showed that the female (odds ratio [OR] 1.522,95％ confidence interval [CI] 1.023-2.266;P =0.038),diabetes (OR 1.789,95％ CI 1.171-2.735;P =0.007) and higher low-density lipoprotein cholesterol (OR 1.251,95％ CI 1.017-1.539;P =0.034),total bilirubin (OR 1.054,95％ CI 1.029-1.081;P＜0.001),urea nitrogen (OR 1.245,95％ CI 1.100-1.409;P=0.001),and baseline National Institutes of Health Stroke Scale (NIHSS) score (OR 2.854,95％ CI 1.027-3.628;P =0.019) were the independent risk factors for poor outcomes,and higher prealbumin (OR 0.798 95％ CI 0.633-0.979;P =0.034) and albumin (OR 0.741,95％ CI 0.693-0.988;P =0.020) were the independent predictors of good outcomes.In the young and middle-aged patients,there were significant differences in the proportions of patients with small artery occlusion as well as age,triglyceride,and high-density lipoprotein cholesterol levels between the good outcome group and the poor outcome group (all P ＜0.05);multivariate logistic regression analysis showed that diabetes (OR 2.343 95％ CI 1.127-4.871;P=0.023) and higher baseline NIHSS scores (OR 2.041,95％ CI 1.304-4.125;P =0.027) were the independent risk factors for poor outcome,and higher high-density lipoprotein cholesterol (OR 0.742 95％ CI 0.639-0.937;P =0.044)was an independent predictor for good outcome.In the elderly patients,there were significant differences in the proportions of patients in male,previous stroke or TIA,and cardiogenic embolism,as well as prealbumin,low-density lipoprotein cholesterol,total bilirubin,direct bilirubin,indirect bilirubin,and uric acid levels between the good outcome group and the poor outcome group (all P ＜ 0.05);multivariate logistic regression the analysis showed that diabetes (OR 2.797,95％ CI 1.153-4.756;P =0.039),higher baseline NIHSS score (OR 2.586,95％ CI 1.033-3.435;P =0.035) and higher low-density lipoprotein cholesterol (OR 1.304,95％ CI 1.027-1.656;P =0.029) were the independent risk factors for poor outcome,and higher prealbumin was an independent predictor for good outcome (OR 0.795,95％ CI 0.691-0.998;P =0.002).Conclusions Prealbumin and albumin are the independent predictors for short-term good outcome in patients with acute ischemic stroke.The protective effect of serum prealbumin is more obvious in the elderly population (≥60 years).
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Objective To investigate the correlations of serum prealbumin and albumin with the shortterm outcome in patients with acute cerebral infarction in different age groups.Methods Patients with acute ischemic stroke admitted to hospital with 48 h were prospectively enrolled in the study.The modified Rankin Scale was used to assess the functional outcomes at 14 d after onset,0-2 was defined as a good outcome.According to the age of the patients,they were divided into either a young and middle-aged group (＜ 60 years) or an elderly group (≥60 years).The demography,baseline clinical data and laboratory findings of the patients were compared in the overall patients and the different age groups between the good outcome group and the poor outcome group.Multivariate logistic regression analysis was used to determine the independent influencing factors of short-term outcomes.Results A total of 622 patients with acute ischemic stroke were enrolled,including 402 (64.6％) males and 220 (35.4％) females;206 (33.1％) were in the young and middle-aged group,and 416 (66.9％) were in the elderly group;310 (49.8％) had good outcomes and 312 (50.2％) had poor outcomes.There were significant differences in the proportions of patients in male,old people,hyperlipidemia,diabetes mellitus,history of previous stroke or transient ischemic attack (TIA),as well as age,body mass index,levels of prealbumin,albumin,triglyceride,high-density lipoprotein cholesterol low-density lipoprotein cholesterol total bilirubin,direct bilirubin,indirect bilirubin,urea nitrogen,and uric acid between the good outcome group and the poor outcome group (all P ＜0.05).Multivariate logistic regression analysis showed that the female (odds ratio [OR] 1.522,95％ confidence interval [CI] 1.023-2.266;P =0.038),diabetes (OR 1.789,95％ CI 1.171-2.735;P =0.007) and higher low-density lipoprotein cholesterol (OR 1.251,95％ CI 1.017-1.539;P =0.034),total bilirubin (OR 1.054,95％ CI 1.029-1.081;P＜0.001),urea nitrogen (OR 1.245,95％ CI 1.100-1.409;P=0.001),and baseline National Institutes of Health Stroke Scale (NIHSS) score (OR 2.854,95％ CI 1.027-3.628;P =0.019) were the independent risk factors for poor outcomes,and higher prealbumin (OR 0.798 95％ CI 0.633-0.979;P =0.034) and albumin (OR 0.741,95％ CI 0.693-0.988;P =0.020) were the independent predictors of good outcomes.In the young and middle-aged patients,there were significant differences in the proportions of patients with small artery occlusion as well as age,triglyceride,and high-density lipoprotein cholesterol levels between the good outcome group and the poor outcome group (all P ＜0.05);multivariate logistic regression analysis showed that diabetes (OR 2.343 95％ CI 1.127-4.871;P=0.023) and higher baseline NIHSS scores (OR 2.041,95％ CI 1.304-4.125;P =0.027) were the independent risk factors for poor outcome,and higher high-density lipoprotein cholesterol (OR 0.742 95％ CI 0.639-0.937;P =0.044)was an independent predictor for good outcome.In the elderly patients,there were significant differences in the proportions of patients in male,previous stroke or TIA,and cardiogenic embolism,as well as prealbumin,low-density lipoprotein cholesterol,total bilirubin,direct bilirubin,indirect bilirubin,and uric acid levels between the good outcome group and the poor outcome group (all P ＜ 0.05);multivariate logistic regression the analysis showed that diabetes (OR 2.797,95％ CI 1.153-4.756;P =0.039),higher baseline NIHSS score (OR 2.586,95％ CI 1.033-3.435;P =0.035) and higher low-density lipoprotein cholesterol (OR 1.304,95％ CI 1.027-1.656;P =0.029) were the independent risk factors for poor outcome,and higher prealbumin was an independent predictor for good outcome (OR 0.795,95％ CI 0.691-0.998;P =0.002).Conclusions Prealbumin and albumin are the independent predictors for short-term good outcome in patients with acute ischemic stroke.The protective effect of serum prealbumin is more obvious in the elderly population (≥60 years).
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ObjectiveToinvestigatethecorrelationbetween-2578C>Apolymorphismofvascular endothelium grow th factor (VEGF) gene and carotid atherosclerosis in Chinese Han population in Shandong, China. Methods A total of 384 subjects aged 45-85 in Chinese Han population in Shandong, China w ere enroled. They were divided into either an increased intima-media thickness (IMT) group ( n=248) or a control group (n=136) according to the vascular ultrasound results. The baseline clinical data, such as the demographic data, vascular risk factors, and blood biochemical indicators in both groups were colected. Polymerase chain reaction w as used to detect the VEGF gene -2578C>A polymorphism genotype and alele. Multivariate logistic regression analysis was used to identify the independent risk factors for increased carotid IMT. Results The proportions of hypertension ( 70.6%vs.59.6%;χ2 =4.793, P=0.032), diabetes (18.4%vs.29.0%; χ2 =5.281, P=0.027), hyperlipidemia ( 45.2%vs.33.1%; χ2 =7.883, P=0.006), previous previous stroke or transient ischemic attack (29.0%vs.16.9%;χ2 =6.294, P=0.009), smoking (35.9%vs.19.9%;χ2 =10.708, P=0.001), as w el as total cholesterol ( 4.82 ±1.25 mmol/L vs.4.57 ± 0.94 mmol/L; t= -2.072, P= 0.039 ), triglyceride ( median, interquartile range; 1.71[0.84-2.22] mmol/L vs.1.53[1.08-2.59] mmol/L;Z= -2.560 P=0.010), low-density lipoprotein cholesterol (2.86 ±1.01 mmol/L vs.2.64 ±0.85 mmol/L; t= -2.407, P= 0.033 ), and high-density lipoprotein cholesterol (1.58 ±0.72 mmol/L vs.1.43 ±0.46 mmol/L;t= -2.183, P=0.030) in the increased IMT group, and there w ere significant differences compared w ith the control group. There w as significant difference in genotype frequency betw een the 2 groups (χ2 =10.131; P=0.006). There w as significant difference in C alele frequency between the increased IMT group and the control group (78.2% vs. 70.2%;χ2 =6.068, P=0.014). Multivariate logistic regression analysis showed that CC genotype (odds ratio 1.132, 95%confidence interval 1.021-2.141;P=0.029) w as an independent risk factor for increased carotid IMT. In 248 patients w ith increased IMT, 213 had at least 1 plaque, 76 (39.6%) of them w ere 1-2, 107 (43.15%) w ere 3-4, and 30 (12.1%) w ere 5-8 in plaque index. There w ere no significant differences in frequencies of genotypes (χ2 =6.766, P=0.149) and alele (χ2 =0.185, P=0.667) in the different plaque index groups. Conclusions -2578 single nucleotide polymorphism in the VEGF gene promoter is associated w ith carotid atherosclerosis, and C al ele may be its genetic susceptibility factor in Chinese Han population in Shandong, China.