Comparing the energy landscapes for native folding and aggregation of PrP

Protein sequences are evolved to encode generally one folded structure, out of a nearly infinite array of possible folds. Underlying this code is a funneled free energy landscape that guides folding to the native conformation. Protein misfolding and aggregation are also a manifestation of free-energy landscapes. The detailed mechanisms of these processes are poorly understood, but often involve rare, transient species and a variety of different pathways. The inherent complexity of misfolding has hampered efforts to measure aggregation pathways and the underlying energy landscape, especially using traditional methods where ensemble averaging obscures important rare and transient events. We recently studied the misfolding and aggregation of prion protein by examining 2 monomers tethered in close proximity as a dimer, showing how the steps leading to the formation of a stable aggregated state can be resolved in the single-molecule limit and the underlying energy landscape thereby reconstructed. This approach allows a more quantitative comparison of native folding versus misfolding, including fundamental differences in the dynamics for misfolding. By identifying key steps and interactions leading to misfolding, it should help to identify potential drug targets. Here we describe the importance of characterizing free-energy landscapes for aggregation and the challenges involved in doing so, and we discuss how single-molecule studies can help test proposed structural models for PrP aggregates.     

Propolis Enhances 5-Fluorouracil Mediated Antitumor Efficacy and Reduces Side Effects in Colorectal Cancer: An in Vitro and in Vivo Study

In this study, we investigated the combined treatment of 5-fluorouracil (5-FU) and Anatolian propolis extract (PE) on colorectal cancer (CRC)using in vitro and in vivo studies. We exposed luciferase-transfected (Lovo-Luc CRC) cells and healthy colon cells (CCD-18Co) to varying concentrations of 5-FU and PE to assess their genotoxic, apoptotic, and cytotoxic effects, as well as their intracellular reactive oxygen species (iROS) levels. We also developed a xenograft model in nude mice and evaluated the anti-tumor effects of PE and 5-FU using various methods. Our findings showed that the combination of PE and 5-FU had selectivity against cancer cells, particularly at higher doses, and enhanced the anti-tumor effectiveness of 5-FU against colon CRC. The results suggest that PE can reduce side effects and increase the effectiveness of 5-FU through iROS generation in a dose-dependent manner.     

Self-assembly of molecular beacons through metal ion coordination for fluorescence imaging of miRNA in living cells

Fluorescence nanosensors based on functional nucleic acids have been explored as a powerful sensing platform for disease-relevant miRNAs. This work developed a new hybrid nanosensor (Zr-B) through coordination-driven self-assembly of Zr ions and beacons. The prepared nanosensor exhibited high loading efficiency of beacons and could achieve sensitive and specific detection for miRNAs. The hybrid nanosensor could transfer beacons into living cells efficiently and maintain high stability and biocompatibility in the biological environment, achieving effective miRNA fluorescence imaging in living cells. Therefore, the resultant nanosensor holds potential for applications in disease diagnostics.     

彩色多普勒超声对乳腺癌新辅助化疗疗效的评价研究

目的:探讨彩色多普勒超声(CDFI)对乳腺癌新辅助化疗(NCT)疗效评价的临床应用价值。方法:选取2013年1月~2013年12月在我院接受新辅助化疗后行手术治疗的女性乳腺癌患者55例,以病理学评价为金标准,化疗后根据化疗效果分为有效组和无效组,利用CDFI观察患者NCT前后病灶超声指标、病灶内血流分级及阻力指数(RI)值变化。结果:55例患者中,临床触诊疗效评价符合率为36.4%,敏感度为60.7%;CDFI评价符合率为70.9%,敏感度为85.7%。CDFI检查显示,乳腺癌NCT后原发肿瘤病灶大小显著缩小,边界多清晰可见,内部回声及后方回声倾向正常。有效组NCT前后病灶内的血流类型和RI值变化有统计学意义(P0.05),无效组NCT前后病灶内的血流类型和RI值无明显变化(P0.05)。结论:CDFI技术可对乳腺癌NCT前后病灶大小及病灶内部血流动力学变化提供客观参数,是评价乳腺癌NCT疗效的有效方法。     

超声分子成像的研究进展

超声成像无创、无放射性、低成本、实时成像的优点,使其成为目前世界上应用最广的成像手段之一。特别是超声造影剂引入之后,超声成像的图像分辨率和灵敏度得到了大大提高,使超声成像在临床上得到了进一步应用。近年来,随着分子生物学和超声成像技术的不断发展,人们提出了"超声分子成像"的概念。它是一项结合了分子靶向造影剂和超声影像技术的能在分子水平下观察病理变化的新兴技术,目前这一技术还处于研究初期阶段。但大量临床前的研究成果已表明超声分子成像在诊断血管生成、炎症和血栓三种疾病具有很大应用前景。本文主要综述了目前常用超声造影剂的种类以及超声分子成像技术的研究现状,并对该技术进行了讨论和展望。     

The use of intensity‐based Doppler variance method for single vessel response to functional neurovascular activation

This study presents 1 use of optical coherence tomography (OCT) angiography technique to examine neurovascular coupling effect. Repeated B‐scans OCT recording is performed on the rat somatosensory cortex with cranial window preparation while its contralateral forepaw is electrically stimulated to activate the neurons in rest. We use an intensity‐based Doppler variance (IBDV) algorithm mapped cerebral blood vessels in the cortex, and the temporal alteration in blood perfusion during neurovascular activation is analyzed using the proposed IBDV quantitative parameters. By using principal component analysis‐based Fuzzy C Means clustering method, the stimulus‐evoked vasomotion patterns were classified into 3 categories. We found that the response time of small vessels (resting diameter 14.9 ±6.6 μm), middle vessels (resting diameter 21.1 ±7.9 μm) and large vessels (resting diameter 50.7 ±6.5 μm) to achieve 5% change of vascular dilation after stimulation was 1.5, 2 and 5.5 seconds, respectively. Approximately 5% peak change of relative blood flow (RBF) in both small and middle vessels was observed. The large vessels react slowly and their responses nearly 4 seconds delayed, but no significant change in RBF of the large vessels was seen.      

Mass-spectrometry based oxidative lipidomics and lipid imaging: applications in traumatic brain injury

Lipids, particularly phospholipids, are fundamental to CNS tissue architecture and function. Endogenous polyunsaturated fatty acid chains of phospholipids possess cis-double bonds each separated by one methylene group. These phospholipids are very susceptible to free-radical attack and oxidative modifications. A combination of analytical methods including different versions of chromatography and mass spectrometry allows detailed information to be obtained on the content and distribution of lipids and their oxidation products thus constituting the newly emerging field of oxidative lipidomics. It is becoming evident that specific oxidative modifications of lipids are critical to a number of cellular functions, disease states and responses to oxidative stresses. Oxidative lipidomics is beginning to provide new mechanistic insights into traumatic brain injury which may have significant translational potential for development of therapies in acute CNS insults. In particular, selective oxidation of a mitochondria-specific phospholipid, cardiolipin, has been associated with the initiation and progression of apoptosis in injured neurons thus indicating new drug discovery targets. Furthermore, imaging mass-spectrometry represents an exciting new opportunity for correlating maps of lipid profiles and their oxidation products with structure and neuropathology. This review is focused on these most recent advancements in the field of lipidomics and oxidative lipidomics based on the applications of mass spectrometry and imaging mass spectrometry as they relate to studies of phospholipids in traumatic brain injury.     

Metal complexes as optical probes for DNA sensing and imaging

Transition and lanthanide metal complexes have rich photophysical properties that can be used for cellular imaging, biosensing and phototherapy. One of the applications of such luminescent compounds is the detection and visualisation of nucleic acids. In this brief review, we survey the recent literature on the use of luminescent metal complexes (including Re^I, Ru^II, Os^II, Ir^III, Pt^II, Eu^III and Tb^III) as DNA optical probes, including examples of compounds that bind selectively to non-duplex DNA topologies such as quadruplex, i-motif and DNA mismatches. We discuss the applications of metal-based luminescent complexes in cellular imaging, including time-resolved microscopy and super-resolution techniques. Their applications in biosensing and phototherapy are briefly mentioned in the relevant sections.     

基于机器学习的医学影像分析在药物研发和精准医疗方面的应用

MRI,PET,和CT等医学影像在新药研发和精准医疗中起着越来越重要的作用。影像技术可以被用来诊断疾病,评估药效,选择适应患者,或者确定用药剂量。 随着人工智能技术的发展,特别是机器学习以及深度学习技术在医学影像中的应用,使得我们可以用更短的时间,更少的放射剂量获取更高质量的影像。这些技术还可以帮助放射科医生缩短读片时间,提高诊断准确率。除此之外,机器学习技术还可以提高量化分析的可行性和精度,帮助建立影像与基因以及疾病的临床表现之间的关系。首先根据不同形态的医学影像,简单介绍他们在药物研发和精准医疗中的应用。并对机器学习在医学影像中的功能作一概括总结。最后讨论这个领域的挑战和机遇。     

原发性肝癌MRI检查图像特征分析及联合血清AFP、TK1、DKK1的诊断价值研究

摘要 目的：研究原发性肝癌（PHC）磁共振成像（MRI）检查图像特征及其联合血清甲胎蛋白（AFP）、胸苷激酶1（TK1）、Dickkopf相关蛋白1（DKK1）的诊断价值。方法：将我院从2017年1月～2020年1月收治的PHC患者76例纳入研究,记作观察组。另取同期我院收治的70例良性肝病患者记作对照组。对所有受试者均进行MRI扫描,比较两组MRI图像特征。检测并对比两组血清AFP、TK1、DKK1水平的差异。通过受试者工作特征（ROC）曲线分析MRI及上述各项血清学指标诊断PHC的效能。结果：PHC患者T1WI主要表现为均匀低或稍低信号,T2WI主要表现为不均匀高信号,DWI均表现为均匀高信号。观察组血清AFP、TK1、DKK1水平均高于对照组（均P＜0.05）。经ROC曲线分析可得：MRI检查联合血清AFP、TK1、DKK1诊断PHC的曲线下面积、灵敏度、特异度、准确度均高于上述各项检查方式单独诊断。结论：PHC患者MRI图像特征如下：T1WI主要表现为均匀低或稍低信号,T2WI主要表现为不均匀高信号,DWI均表现为均匀高信号。此外,MRI检查联合血清AFP、TK1、DKK1诊断PHC的效能较高,具有一定的临床应用价值。