Bayesian inference of hemodynamic changes in functional arterial spin labeling data.

The study of brain function using MRI relies on acquisition techniques that are sensitive to different aspects of the hemodynamic response contiguous to areas of neuronal activity. For this purpose different contrasts such as arterial spin labeling (ASL) and blood oxygenation level dependent (BOLD) functional MRI techniques have been developed to investigate cerebral blood flow (CBF) and blood oxygenation, respectively. Analysis of such data typically proceeds by separate, linear modeling of the appropriate CBF or BOLD time courses. In this work an approach is developed that provides simultaneous inference on hemodynamic changes via a nonlinear physiological model of ASL data acquired at multiple echo times. Importantly, this includes a significant contribution by changes in the static magnetization, M, to the ASL signal. Inference is carried out in a Bayesian framework. This is able to extract, from dual-echo ASL data, probabilistic estimates of percentage changes of CBF, R(2) (*), and the static magnetization, M. This approach provides increased sensitivity in inferring CBF changes and reduced contamination in inferring BOLD changes when compared with general linear model approaches on single-echo ASL data. We also consider how the static magnetization, M, might be related to changes in CBV by assuming the same mechanism for water exchange as in vascular space occupancy.     

Functional MRI Studies of Animal Models in Epilepsy

Summary:  Functional magnetic resonance imaging (fMRI) has become a widely used imaging modality in the past decade in both human studies and animal models. Epilepsy presents unique challenges for neuroimaging due to subject movement during seizures, and the need to correlate the timing of often unpredictable seizure events with fMRI data acquisition. These challenges can readily be overcome in animal models of epilepsy. Animal models also provide an opportunity to investigate the fundamental relationships between fMRI signals and brain electrical activity through invasive studies not possible in humans. fMRI studies in animal models of epilepsy can enable us to correctly interpret fMRI signal increases and decreases in human studies, ultimately elucidating specific networks that will be targeted for improved treatment of epilepsy.     

伴CBFβ/MYH11阳性初诊AML患儿的预后影响因素分析

目的:分析伴CBFβ /MYH11阳性初诊急性髓系白血病(AML)患儿的预后影响因素.方法:选取2012年5月至2018年6月本院收治的原发性初治伴inv (16)/CBFβ-MYH11阳性AML患儿28例,对其临床资料及治疗效果等进行分析和评估.结果:所有患儿5年总生存(OS)率76.8％,5年无事件生存(EFS)率...     

IGF-1对SD大鼠骨髓间充质干细胞成骨成脂方向分化的影响

目的:观察胰岛素样生长因子-1(IGF-1)作用于骨髓间充质干细胞后核心结合因子α1(CBFα1)和过氧化物酶增殖物激活受体γ2(PPARγ2)基因表达情况,探讨其对骨髓间充质干细胞成脂方向分化的影响。方法:用贴壁法筛选分离纯化SD大鼠骨髓基质干细胞并传代培养,取第4代SD大鼠骨髓间充质干细胞作为实验样本,随机分为空白对照组、低剂量IGF-1(10μg/L)组与高剂量IGF-1(20μg/L)组进行干预培养12 h,采用RT-PCR法检测各组CBFα1和PPARγ2 mRNA的表达。结果:IGF-1高剂量组及低剂量组均可以提高大鼠骨髓间充质干细胞CBFα1的mRNA以及下调PPARγ2的mRNA表达,高、低剂量组与空白对照组差异均有统计学意义(P均<0.05),但是这种剂量-效应在IGF-1干预浓度介于10~20μg/L的情况下并不明显。结论:IGF-1使骨髓间充质干细胞PPARγ2基因表达水平降低,阻碍骨髓间充质干细胞向成脂方向分化;使CBFα1基因表达水平增高,促进BMSCs成骨方向分化。IGF-1可能参与骨髓间充质干细胞成骨成脂方向分化的调节,并有利于成骨方向分化。     

小鼠骨组织中转录调控因子CBF1的表达

目的: 探讨转录调控因子CBF1(C-promoter binding factor-1, CBF1)在成鼠骨组织以及小鼠胚胎性骨组织的表达情况.方法: 采用实时RT-PCR方法检测包括骨组织在内的成年小鼠13种器官组织中CBF1的相对表达水平.采用组织原位杂交技术检测小鼠胚胎性趾骨、肋骨和椎骨中CBF1的分布.结果: 转录调控因子CBF1在成年小鼠各组织器官中广泛存在,在骨组织中检测到较高的CBF1表达水平.原位杂交分析显示: 发育中的趾骨和肋骨软骨细胞CBF1阳性染色,染色阳性程度与软骨细胞的分化程度有关;肋骨和椎骨骨化区周围成骨细胞呈强阳性染色;埋入骨基质的骨细胞则呈弱阳性染色.结论: 转录调控因子CBF1参与了小鼠骨组织的发育形成,可能也参与了成熟骨组织的改建和代谢.     

Distinct microRNA expression profiles in acute myeloid leukemia with common translocations

MicroRNAs (miRNAs) are postulated to be important regulators in cancers. Here, we report a genome-wide miRNA expression analysis in 52 acute myeloid leukemia (AML) samples with common translocations, including t(8;21)/AML1(RUNX1)-ETO(RUNX1T1), inv(16)/CBFB-MYH11, t(15;17)/PML-RARA, and MLL rearrangements. Distinct miRNA expression patterns were observed for t(15;17), MLL rearrangements, and core-binding factor (CBF) AMLs including both t(8;21) and inv(16) samples. Expression signatures of a minimum of two (i.e., miR-126/126*), three (i.e., miR-224, miR-368, and miR-382), and seven (miR-17-5p and miR-20a, plus the aforementioned five) miRNAs could accurately discriminate CBF, t(15;17), and MLL-rearrangement AMLs, respectively, from each other. We further showed that the elevated expression of miR-126/126* in CBF AMLs was associated with promoter demethylation but not with amplification or mutation of the genomic locus. Our gain- and loss-of-function experiments showed that miR-126/126* inhibited apoptosis and increased the viability of AML cells and enhanced the colony-forming ability of mouse normal bone marrow progenitor cells alone and particularly, in cooperation with AML1-ETO, likely through targeting Polo-like kinase 2 (PLK2), a tumor suppressor. Our results demonstrate that specific alterations in miRNA expression distinguish AMLs with common translocations and imply that the deregulation of specific miRNAs may play a role in the development of leukemia with these associated genetic rearrangements.     

Incidence and prognosis of c-KIT and FLT3 mutations in core binding factor (CBF) acute myeloid leukaemias

DNA from 110 adult de novo acute myeloid leukaemia (AML) patients exhibiting either inv(16) (n = 63) or t(8;21) (n = 47) was screened for mutations in the c-KIT (exon 8 and Asp816) and FLT3 (ITD and Asp835) genes. c-KIT exon 8 mutations were found in 15/63 (23.8%) inv(16) patients and 1/47 (2.1%) t(8;21) patients. c-KIT Asp816 mutations were present in 5/63 (7.9%) inv(16) AML and 5/47 (10.6%) t(8;21) AML. FLT3 mutations were identified in five patients (7.9%) with inv(16) and three patients (5.6%) with t(8;21) AML. All mutations were mutually exclusive; 40% of inv(16) AML patients possessed either a c-KIT or FLT3 mutation. c-KIT exon 8 mutations were shown to be a significant factor adversely affecting relapse rate.     

The impact of individual electrical fields and anatomical factors on the neurophysiological outcomes of tDCS: A TMS-MEP and MRI study

BackgroundTranscranial direct current stimulation (tDCS), a neuromodulatory non-invasive brain stimulation technique, has shown promising results in basic and clinical studies. The known interindividual variability of the effects, however, limits the efficacy of the technique. Recently we reported neurophysiological effects of tDCS applied over the primary motor cortex at the group level, based on data from twenty-nine participants who received 15min of either sham, 0.5, 1.0, 1.5 or 2.0 mA anodal, or cathodal tDCS. The neurophysiological effects were evaluated via changes in: 1) transcranial magnetic stimulation (TMS)-induced motor evoked potentials (MEP), and 2) cerebral blood flow (CBF) measured by functional magnetic resonance imaging (MRI) via arterial spin labeling (ASL). At the group level, dose-dependent effects of the intervention were obtained, which however displayed interindividual variability.MethodIn the present study, we investigated the cause of the observed inter-individual variability. To this end, for each participant, a MRI-based realistic head model was designed to 1) calculate anatomical factors and 2) simulate the tDCS- and TMS-induced electrical fields (EFs). We first investigated at the regional level which individual anatomical factors explained the simulated EFs (magnitude and normal component). Then, we explored which specific anatomical and/or EF factors predicted the neurophysiological outcomes of tDCS.ResultsThe results highlight a significant negative correlation between regional electrode-to-cortex distance (rECD) as well as regional CSF (rCSF) thickness, and the individual EF characteristics. In addition, while both rCSF thickness and rECD anticorrelated with tDCS-induced physiological changes, EFs positively correlated with the effects.ConclusionThese results provide novel insights into the dependency of the neuromodulatory effects of tDCS on individual physical factors.