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Compare baseline and 6-month follow-up plasma and cerebrospinal fluid (CSF) levels of amyloid β peptides 1–40 (Aβ1–40) and 1–42 (Aβ1–42), total tau protein (T-tau) and phosphorylated tau at threonine 231 (P-tau231) in patients with Alzheimer's disease (AD) and vascular dementia (VD).
21 patients with AD and 7 patients with VD based on the criteria of Diagnostic Statistical Manual 4th edition were assessed at baseline and 7 with AD and 6 with VD were re-assessed 6 months later. Assessments included the Mini-Mental State Exam (MMSE), the Global Deteriorate Scale (GDS), plasma and CSF levels of Aβ1–40 and Aβ1–42, and CSF levels of T-tau and P-tau231 (using a sandwich enzyme-linked immunosorbent assay).
At baseline there were significant differences between AD and VD patients in the mean CSF levels of T-tau (t=2.580, P=0.016), P-tau231 (t=4.014, P=0.000) and Aβ1–40 (t=2.766, P=0.010). At baseline in AD patients, duration of illness was negatively correlated with CSF P-tau231 levels (r=-0.485, P=0.026), MMSE scores (r=-0.565, P=0.008) and GDS scores (r=-0.482, P=0.027); and CSF Aβ1–42 levels were positively correlated to MMSE scores (r=0.565, P=0.008) and negatively correlated with GDS scores (r=-0.634, P=0.002). In the AD patients plasma Aβ1–40 levels increased significantly over the 6-month follow-up period (t=-2.735, P=0.041).
Plasma Aβ1–40 levels increased significantly in AD patients after 6-months of follow-up, that means levels of plasma Aβ1–40 could imply the development of Alzheimer disease. Moreover, CSF P-tau231 and CSF Aβ1–42 levels are associated with the severity of dementia and cognitive impairment.
Explore the relationship between levels of plasma Aβ1–40, Aβ1–42 and heat shock protein 70 (HSP70) in patients with Alzheimer disease (AD) and vascular dementia (VD) and in elderly non-demented controls.
23 patients with AD and 21 patients with VD who meet diagnostic criteria of the Diagnostic Statistical Manual 4th edition and 20 control subjects were enrolled, administered the Mini-Mental State Exam (MMSE) and the Activity of Daily Living (ADL) inventory and their levels of plasma Aβ1–40, Aβ1–42 and HSP70 were measured by sandwich enzyme-linked immunosorbent assay.
The levels of plasma Aβ1–40, Aβ1–42 and the Aβ1–40/Aβ1–42 ratio were not significantly different across groups, but levels of plasma HSP70 in VD patients was significantly higher than in AD patients and in normal controls (3.19 vs 1.91 vs 1.43ng/ml, respectively; F=6.464, P=0.003). In the AD group MMSE scores were inversely correlated with ADL scores (r=-0.617, P=0.002) and with levels of plasma HSP70 (r=-0.437, P=0.037); but HSP70 levels were positively correlated with age (r=0.616, P=0.002) and with plasma Aβ1–40 (r=0.497, P=0.016) in AD group. In the VD group levels of plasma HSP70 were positively correlated with plasma Aβ1–40 (r=0.436, P=0.048).
Our findings provide further evidence that high plasma HSP70 levels may play a role in the diagnosis and differential diagnosis of AD. HSP70 levels in AD patients is inversely associated with cognitive performance and positively correlated with plasma Aβ1–40. Plasma HSP70 in VD patients is significantly elevated and positively correlated with plasma Aβ1–40.
The majority of neuroimaging studies reported smaller hippocampal volumes in patients with posttraumatic stress disorder (PTSD). Our previous study found that PTSD is associated with selective volume loss of the CA3/dentate gyrus subfields However, the causality of smaller hippocampal volumes and PTSD cannot be determined in these studies because of the cross-sectional nature of them. The purpose of this longitudinal study was to determine if PTSD caused hippocampal subfields volume loss following traffic accidents. Volumes of hippocampal subfields in thirty seven traffic accident survivors were measured using 3T MRI in one week after accident, and twenty five of them completed one year follow-up MRI scan. Fourteen participants met the PTSD diagnosis in one year follow-up while other eleven did not met PTSD diagnosis criteria. PTSD was significantly associated with volumes reduction of CA3/dentate gyrus subfield (β=0.244 p=0.017) while other subfields were spared. It also shown volume loses of Entorhinal Cortex (ERC) of both side in one year follow-up for the whole sample (mean volume reduction: right 19.25mm3, left 22.04 mm3). But no association has been found between PTSD and ERC volume alteration. The findings indicate for the first time in humans that selective volume loss of the CA3/dentate gyrus subfields is the results but not the risk factor of PTSD. It also suggested that ERC may also be a stress sensitive region.
To investigate the effect of risperidone and (or) Xiao Huan Tang on activity and preferences behavior of glutamate dysfunction mice model.
70 kunming mice were randomly divided into 5 groups, one group as blank group. Rest groups intraperitoneal injection MK- 801(0.072mg/ml, 5ml/kg/day) continuously 14 day, then randomly numbered: model group, risperidone group, Xiao Huan Tang group and risperidone combined Xiao Huan Tang group. Gavaged corresponding drugs for each group one month, at the same time observe high activities and changes in the preferences of five groups.
Compared with the blank group, activity of model groups was increased (36.8±16.2 vs blank group 11.3±14.5, P<0.05). After gavaged one month, model groups of high activity was decreased, especially risperidone combined Xiao Huan Tang group. There was no statistical meaning in inquiry activity of five groups (P > 0.05). Compared with model group, latent period of step-through test was prolonged 34.1s (P<0.05), of step-down test was prolonged 20.2s in risperidone combined Xiao Huan Tang group.
the combination of Xiao Huan Tang and risperidone can suppress the high activity, prolong harmed memory time, and protect preference behavior of schizophrenia mice.
Dopamine D2 receptors (D2R) are the primary target of antipsychotic drugs and have been shown to regulate Akt/glycogen synthase kinase-3b (GSK-3b) signaling through scaffolding protein b-arrestin 2.
In the present study, we researched the effects of saikosaponin B1 on the b-arrestin 2-mediated Akt/GSK-3b pathway in human neuroblastoma cell lineSH-SY5Y cells.
To determine whether saikosaponin B1 affected neuronal morphology in human neuroblastoma cell line SH-SY5Y cells.
We investigated the effects of saikosaponin B1 on neurite outgrowth using immunostaining. We examined the effects of saikosaponin B1 on Akt and GSK-3b and its well-known downstream regulators, cAMP response element-binding protein (CREB), brain-derived neurotrophic factor (BDNF), and Bcl-2 levels using Western blot analysis.
Saikosaponin B1 was found to enhance neurite outgrowth. Small interfering RNA (siRNA) for b-arrestin 2 knockdown blocked the increase in saikosaponin B1-induced neurite outgrowth. Furthermore, saikosaponin B1 increased the levels of Akt and GSK-3b phosphorylation. The elevation of Akt phosphorylation induced by saikosaponin B1 was reduced by b-arrestin 2 siRNA. Moreover, saikosaponin B1 effectively increased the levels of phospho-CREB, BDNF, and Bcl-2.
Together, these results suggest that regulation of the b-arrestin 2-dependent pathway via blockade of the D2R in SH-SY5Y cells is one mechanism underlying the neuroprotective effect of saikosaponin B1.
be the number of overpartitions in which (i) the difference between successive parts may be odd only if the larger part is overlined and (ii) if the smallest part is odd then it is overlined. Ramanujan-type congruences for
modulo small powers of
have been established. We present two infinite families of congruences modulo
, the first of which generalises a recent result of Chern and Hao [‘Congruences for two restricted overpartitions’, Proc. Math. Sci.129 (2019), Article 31].
We use the results of a supernova light-curve population synthesis to predict the range of possible supernova light curves arising from a population of single-star progenitors that lead to type IIP supernovae. We calculate multiple models varying the initial mass, explosion energy, nickel mass and nickel mixing and then compare these to type IIP supernovae with detailed light curve data and pre-explosion imaging progenitor constraints. Where a good fit is obtained to observations, we are able to achieve initial progenitor and nickel mass estimates from the supernova lightcurve that are comparable in precision to those obtained from progenitor imaging. For 2 of the 11 IIP supernovae considered our fits are poor, indicating that more progenitor models should be included in our synthesis or that our assumptions, regarding factors such as stellar mass loss rates or the rapid final stages of stellar evolution, may need to be revisited in certain cases. Using the results of our analysis we are able to show that most of the type IIP supernovae have an explosion energy of the order of log(Eexp/ergs) = 50.52 ± 0.10 and that both the amount of nickel in the supernovae and the amount of mixing may have a dependence on initial progenitor mass.
Background: The zona incerta (ZI) is a small structure in the deep brain first identified by Auguste Forel for which robust in vivo visualization has remained elusive. The increased inherent signal from ultra-high field (7-Tesla or greater; 7T) magnetic resonance imaging (MRI) presents an opportunity to see structures not previously visible. In this study, we investigated the possibility of using quantitative T1 mapping at 7T to visualize the ZI region. Methods: We recruited healthy participants (N=32) and patients being considered for deep brain stimulation therapy as part of a prospective imaging study at 7T. Computational methods were used to process and fuse images to produce a high-resolution group average from which ZI anatomy could be delineated. Results: We pooled 7T data using image fusion methods and found that the contrast from quantitative T1 mapping was strikingly similar to classic histological staining, permitting facile identification of the ZI and nearby structures in reference to conventional stereotactic atlases. Conclusions: Using computational neuroimaging techniques, we demonstrate for the first time that the ZI is visible in vivo. Furthermore, we determined that this nuclear region can be decoupled from surrounding fibre pathways. This work paves the way for more accurate patient-specific optimization of deep brain targets for neuromodulation.
We present results of a supernova lightcurve population synthesis, predicting the range of possible supernova lightcurves arising from a population of progenitor stars that include interacting binary systems. We show that the known diversity of supernova lightcurves can be interpreted as arising from binary interactions. Given detailed models of the progenitor stars, we are able to the determine what parameters within these stars determine the shape of their supernova lightcurve. The primary factors are the mass of supernova ejecta and the mass of hydrogen in the final progenitor. We find that there is a continuum of lightcurve behaviour from type IIP, IIL, to IIb supernovae related to the range of hydrogen and ejecta masses. Most type IIb supernovae arise from a relatively narrow range of initial masses from 10 to 15 M⊙. We also find a few distinct lightcurves that are the result of stellar mergers.
In several lately published studies, the association between single-nucleotide polymorphism (SNP, rs12252) of IFITM3 and the risk of influenza is inconsistent. To further understand the association between the SNP of IFITM3 and the risk of influenza, we searched related studies in five databases including PubMed published earlier than 9 November 2017. Ten sets of data from nine studies were included and data were analysed by Revman 5.0 and Stata 12.0 in our updated meta-analysis, which represented 1365 patients and 5425 no-influenza controls from four different ethnicities. Here strong association between rs12252 and influenza was found in all four genetic models. The significant differences in the allelic model (C vs. T: odds ratio (OR) = 1.35, 95% confidence interval (CI) (1.03–1.79), P = 0.03) and homozygote model (CC vs. TT: OR = 10.63, 95% CI (3.39–33.33), P < 0.00001) in the Caucasian subgroup were discovered, which is very novel and striking. Also novel discoveries were found in the allelic model (C vs. T: OR = 1.37, 95% CI (1.08–1.73), P = 0.009), dominant model (CC + CT vs. TT: OR = 1.48, 95% CI (1.08–2.02), P = 0.01) and homozygote model (CC vs. TT: OR = 2.84, 95% CI (1.36–5.92), P = 0.005) when we compared patients with mild influenza with healthy individuals. Our meta-analysis suggests that single-nucleotide T to C polymorphism of IFITM3 associated with increasingly risk of severe and mild influenza in both Asian and Caucasian populations.
The response of soil microbial communities to soil quality changes is a sensitive indicator of soil ecosystem health. The current work investigated soil microbial communities under different fertilization treatments in a 31-year experiment using the phospholipid fatty acid (PLFA) profile method. The experiment consisted of five fertilization treatments: without fertilizer input (CK), chemical fertilizer alone (MF), rice (Oryza sativa L.) straw residue and chemical fertilizer (RF), low manure rate and chemical fertilizer (LOM), and high manure rate and chemical fertilizer (HOM). Soil samples were collected from the plough layer and results indicated that the content of PLFAs were increased in all fertilization treatments compared with the control. The iC15:0 fatty acids increased significantly in MF treatment but decreased in RF, LOM and HOM, while aC15:0 fatty acids increased in these three treatments. Principal component (PC) analysis was conducted to determine factors defining soil microbial community structure using the 21 PLFAs detected in all treatments: the first and second PCs explained 89.8% of the total variance. All unsaturated and cyclopropyl PLFAs except C12:0 and C15:0 were highly weighted on the first PC. The first and second PC also explained 87.1% of the total variance among all fertilization treatments. There was no difference in the first and second PC between RF and HOM treatments. The results indicated that long-term combined application of straw residue or organic manure with chemical fertilizer practices improved soil microbial community structure more than the mineral fertilizer treatment in double-cropped paddy fields in Southern China.
High-energy electron radiography (HEER) has been proposed for time-resolved imaging of materials, high-energy density matter, and for inertial confinement fusion. The areal-density resolution, determined by the image intensity information is critical for these types of diagnostics. Preliminary experimental studies for different materials with the same thickness and the same areal-density target have been imaged and analyzed. Although there are some discrepancies between experimental and theory analysis, the results show that the density distribution can indeed be attained from HEER. The reason for the discrepancies has been investigated and indicates the importance of the uniformity in the transverse distribution beam illuminating the target. Furthermore, the method for generating a uniform transverse distribution beam using octupole magnets was studied and verified by simulations. The simulations also confirm that the octupole field does not affect the angle-position correlation in the center part beam, a critical requirement for the imaging lens. A more practical method for HEER using collimators and octupoles for generating more uniform beams is also described. Detailed experimental results and simulation studies are presented in this paper.
Influenza is a long-standing public health concern, but its transmission remains poorly understood. To have a better knowledge of influenza transmission, we carried out a detailed modelling investigation in a nosocomial influenza outbreak in Hong Kong. We identified three hypothesised transmission modes between index patient and other inpatients based on the long-range airborne and fomite routes. We considered three kinds of healthcare workers’ routine round pathways in 1140 scenarios with various values of important parameters. In each scenario, we used a multi-agent modelling framework to estimate the infection risk for each hypothesis and conducted least-squares fitting to evaluate the hypotheses by comparing the distribution of the infection risk with that of the attack rates. Amongst the hypotheses tested in the 1140 scenarios, the prediction of modes involving the long-range airborne route fit better with the attack rates, and that of the two-route transmission mode had the best fit, with the long-range airborne route contributing about 94% and the fomite route contributing 6% to the infections. Under the assumed conditions, the influenza virus was likely to have spread via a combined long-range airborne and fomite routes, with the former predominant and the latter negligible.
Plant height and lodging resistance can affect rice yield significantly, but these traits have always conflicted in crop cultivation and breeding. The current study aimed to establish a rapid and accurate plant type evaluation mechanism to provide a basis for breeding tall but lodging-resistant super rice varieties. A comprehensive approach integrating plant anatomy and histochemistry was used to investigate variations in flexural strength (a material property, defined as the stress in a material just before it yields in a flexure test) of the rice stem and the lodging index of 15 rice accessions at different growth stages to understand trends in these parameters and the potential factors influencing them. Rice stem anatomical structure was observed and the lignin content the cell wall was determined at different developmental stages. Three rice lodging evaluation models were established using correlation analysis, multivariate regression and artificial radial basis function (RBF) neural network analysis, and the results were compared to identify the most suitable model for predicting optimal rice plant types. Among the three evaluation methods, the mean residual and relative prediction errors were lowest using the RBF network, indicating that it was highly accurate and robust and could be used to establish a mathematical model of the morphological characteristics and lodging resistance of rice to identify optimal varieties.