超声技术在抑郁症诊疗中的作用研究及应用进展

超声波作为一种机械振动波,兼具波动效应、力学效应和热效应.这3种效应在临床中均有较大应用价值,可用于疾病的成像诊断、辅助给药、调控以及热消融治疗等.超声技术所具有的非侵入性、穿透力强、空间分辨率高等特性,使其在神经系统疾病的诊断和治疗中具有广泛的应用前景.而抑郁症作为一种常见的精神疾病,其诊断和治疗都面临很大的困难.因此,大量学者将超声技术应用于抑郁症诊疗.本文主要从超声成像、超声定点给药、超声调控、超声诱导抑郁几个方面总结近十年来超声技术在抑郁症中的应用,以期为研究抑郁症发病机制及诊疗提供一定的参考和帮助.     

大鼠脑缺血/再灌注过程中血流量和脑组织含水量的变化趋势*

目的:研究大鼠脑缺血/再灌注过程中血流量及与脑组织水含量变化的趋势。方法:选取5只成年SD雄性大鼠(n=5),参照改良Zea-Longa线栓法制备大鼠大脑中动脉缺血/再灌注模型,2 h后拔出线栓。利用PeriCam PSI血流灌注成像系统实时监测大鼠在缺血前及缺血5 min、30 min、1 h、2 h、再灌注5 min、30 min、1 h、2 h、4 h、6 h及24 h的血流灌注量,记录在ROI(感兴趣区)测量的数值。再选取15只成年SD雄性大鼠,分为Control组、缺血2 h、再灌注30 min、4 h及24 h组(n=3)。正常组不做任何处理,实验组按上述线栓法制备MCAO模型。取新鲜脑组织用干湿重法测定其左、右半球的水含量。结果:栓塞时缺血侧血流量逐渐下降,缺血2 h下降最低(P＜0.05);再灌注早期血流量恢复较大(P＜0.05),30 min时显著下降(P＜0.05),4 h明显上升(P＜0.05),24 h再次上升(P＜0.05)但低于缺血前血流量(P＞0.05)。脑组织水含量测量,缺血2 h组和再灌注30 min组与正常组无明显差异(P＞0.05);再灌4 h组和再灌24 h组明显增高(P＜0.05),且再灌24 h组明显高于再灌4 h组(P＜0.05)。结论:大鼠脑缺血/再灌注过程中血流量和脑组织中水含量的变化存在一定的规律,且脑组织中水含量与再灌注过程中血流量的变化有一定关系。     

铽(Ⅲ)离子及其复合物:从发光特性到传感应用

稀土元素也称镧系元素,因其独特的发光性质和配位性质,其发光复合物被广泛研究于生物技术领域。其中稀土铽(Ⅲ)离子复合物因具有优异的光谱特性,关于其研究呈现出快速的发展趋势。主要从其发光特性的角度出发,探讨了其发光机理,并对铽(Ⅲ)离子与不同有机化合物结合形成的发光铽配合物以及铽(Ⅲ)离子及其配合物与不同纳米材料形成的复合物进行了分类综述。此外,还详细地阐述了铽离子及其复合物在荧光探针、生物传感器、药物递送、细胞成像、癌症治疗等相关领域的应用。最后,对其今后发展趋势和潜在的研究价值进行了展望。     

Single‐molecule tracking reveals that the nucleoid‐associated protein HU plays a dual role in maintaining proper nucleoid volume through differential interactions with chromosomal DNA

HU (Histone‐like protein from Escherichia coli strain U93) is the most conserved nucleoid‐associated protein in eubacteria, but how it impacts global chromosome organization is poorly understood. Using single‐molecule tracking, we demonstrate that HU exhibits nonspecific, weak, and transitory interactions with the chromosomal DNA. These interactions are largely mediated by three conserved, surface‐exposed lysine residues (triK), which were previously shown to be responsible for nonspecific binding to DNA. The loss of these weak, transitory interactions in a HUα(triKA) mutant results in an over‐condensed and mis‐segregated nucleoid. Mutating a conserved proline residue (P63A) in the HUα subunit, deleting the HUβ subunit, or deleting nucleoid‐associated naRNAs, each previously implicated in HU’s high‐affinity binding to kinked or cruciform DNA, leads to less dramatically altered interacting dynamics of HU compared to the HUα(triKA) mutant, but highly expanded nucleoids. Our results suggest HU plays a dual role in maintaining proper nucleoid volume through its differential interactions with chromosomal DNA. On the one hand, HU compacts the nucleoid through specific DNA structure‐binding interactions. On the other hand, it decondenses the nucleoid through many nonspecific, weak, and transitory interactions with the bulk chromosome. Such dynamic interactions may contribute to the viscoelastic properties and fluidity of the bacterial nucleoid to facilitate proper chromosome functions.     

In-vivo Single-Molecule Imaging in Yeast: Applications and Challenges

Single-molecule imaging has gained momentum to quantify the dynamics of biomolecules in live cells, as it provides direct real-time measurements of various cellular activities under their physiological environment. Yeast, a simple and widely used eukaryote, serves as a good model system to quantify single-molecule dynamics of various cellular processes because of its low genomic and cellular complexities, as well as its facile ability to be genetically manipulated. In the past decade, significant developments have been made regarding the intracellular labeling of biomolecules (proteins, mRNA, fatty acids), the microscopy setups to visualize single-molecules and capture their fast dynamics, and the data analysis pipelines to interpret such dynamics. In this review, we summarize the current state of knowledge for the single-molecule imaging in live yeast cells to provide a ready reference for beginners. We provide a comprehensive table to demonstrate how various labs tailored the imaging regimes and data analysis pipelines to estimate various biophysical parameters for a variety of biological processes. Lastly, we present current challenges and future directions for developing better tools and resources for single-molecule imaging in live yeast cells.