Structural modeling reveals microstructure-strength relationship for human ascending thoracic aorta

High lethality of aortic dissection necessitates accurate predictive metrics for dissection risk assessment. The not infrequent incidence of dissection at aortic diameters <5.5 cm, the current threshold guideline for surgical intervention (Nishimura et al., 2014), indicates an unmet need for improved evidence-based risk stratification metrics. Meeting this need requires a fundamental understanding of the structural mechanisms responsible for dissection evolution within the vessel wall. We present a structural model of the repeating lamellar structure of the aortic media comprised of elastic lamellae and collagen fiber networks, the primary load-bearing components of the vessel wall. This model was used to assess the role of these structural features in determining in-plane tissue strength, which governs dissection initiation from an intimal tear. Ascending aortic tissue specimens from three clinically-relevant patient populations were considered: non-aneurysmal aorta from patients with morphologically normal tricuspid aortic valve (CTRL), aneurysmal aorta from patients with tricuspid aortic valve (TAV), and aneurysmal aorta from patients with bicuspid aortic valve (BAV). Multiphoton imaging derived collagen fiber organization for each patient cohort was explicitly incorporated in our model. Model parameters were calibrated using experimentally-measured uniaxial tensile strength data in the circumferential direction for each cohort, while the model was validated by contrasting simulated tissue strength against experimentally-measured strength in the longitudinal direction. Orientation distribution, controlling the fraction of loaded collagen fibers at a given stretch, was identified as a key feature governing anisotropic tissue strength for all patient cohorts.     

Aberrant Mitochondria in a Bethlem Myopathy Patient with a Homozygous Amino Acid Substitution That Destabilizes the Collagen VI α2(VI) Chain

Bethlem myopathy and Ullrich congenital muscular dystrophy (UCMD) sit at opposite ends of a clinical spectrum caused by mutations in the extracellular matrix protein collagen VI. Bethlem myopathy is relatively mild, and patients remain ambulant in adulthood while many UCMD patients lose ambulation by their teenage years and require respiratory interventions. Dominant and recessive mutations are found across the entire clinical spectrum; however, recessive Bethlem myopathy is rare, and our understanding of the molecular pathology is limited. We studied a patient with Bethlem myopathy. Electron microscopy of his muscle biopsy revealed abnormal mitochondria. We identified a homozygous COL6A2 p.D871N amino acid substitution in the C-terminal C2 A-domain. Mutant α2(VI) chains are unable to associate with α1(VI) and α3(VI) and are degraded by the proteasomal pathway. Some collagen VI is assembled, albeit more slowly than normal, and is secreted. These molecules contain the minor α2(VI) C2a splice form that has an alternative C terminus that does include the mutation. Collagen VI tetramers containing the α2(VI) C2a chain do not assemble efficiently into microfibrils and there is a severe collagen VI deficiency in the extracellular matrix. We expressed wild-type and mutant α2(VI) C2 domains in mammalian cells and showed that while wild-type C2 domains are efficiently secreted, the mutant p.D871N domain is retained in the cell. These studies shed new light on the protein domains important for intracellular and extracellular collagen VI assembly and emphasize the importance of molecular investigations for families with collagen VI disorders to ensure accurate diagnosis and genetic counseling.     

Investigation on the effect of alkyl chain linked mono-thioureas as Jack bean urease inhibitors,SAR, pharmacokinetics ADMET parameters and molecular docking studies

The increasing resistance of pathogens to common antibiotics, as well as the need to control urease activity to improve the yield of soil nitrogen fertilization in agricultural applications, has stimulated the development of novel classes of molecules that target urease as an enzyme. In this context, the newly developed compounds on the basis of 1-heptanoyl-3-arylthiourea family were evaluated for Jack bean urease enzyme inhibition activity to validate their role as potent inhibitors of this enzyme. 1-Heptanoyl-3-arylthioureas were obtained in excellent yield and characterized through spectral and elemental analysis. All the compounds displayed remarkable potency against urease inhibition as compared to thiourea standard. It was found that novel compounds fulfill the criteria of drug-likeness by obeying Lipinski’s rule of five. Particularly compound 4a and 4c can serve as lead molecules in 4D (drug designing discovery and development). Kinetic mechanism and molecular docking studies also carried out to delineate the mode of inhibition and binding affinity of the molecules.     

1,4-Dihydroquinazolin-3(2H)-yl benzamide derivatives as anti-inflammatory and analgesic agents with an improved gastric profile: Design,synthesis, COX-1/2 inhibitory activity and molecular docking study

The design and synthesis of a new series of 1,4-dihydroquinazolin-3(2H)-yl benzamide derivatives (4a–o) as anti-inflammatory and analgesic agents and COX-1/2 inhibitors are reported. The target compounds (4a–o) were synthesized using a two-step scheme, and their chemical structures were confirmed with ¹H NMR, ¹³C NMR, and mass spectra and elemental analysis. Compounds 4b, 4d, 4h, 4l, 4n and 4o showed the best in vitro COX-2 inhibitory activity (IC₅₀ 0.04–0.07 μM), which was nearly the same as that of the reference drug celecoxib (IC₅₀ 0.049 μM), but had a lower selectivity index, as dictated in our target design. In the in vivo anti-inflammatory inhibition assay, compounds 4b, 4c, 4e, 4f, 4m and 4o showed better oedema inhibition percentages, ranging from 38.1% to 54.1%, than did diclofenac sodium (37.8%). An in vivo analgesic assay revealed that compounds 4b and 4n had a potential analgesic effect 4- to 21-fold more potent than that of indomethacin and diclofenac sodium. All the tested compounds showed an improved ulcerogenic index when compared to indomethacin. In the synthesized series, compound 4b showed the best biological activity in all the experiments. The docking study results agreed with the in vitro COX inhibition assay results. Moreover, the predicted in silico studies of all the compounds support their potential as drug candidates.     

Modeling reaction routes from rhodopsin to bathorhodopsin

The quantum mechanical–molecular mechanical (QM/MM) theory was applied to calculate accurate structural parameters, vibrational and optical spectra of bathorhodopsin (BATHO), one of the primary photoproducts of the functional cycle of the visual pigment rhodopsin (RHO), and to characterize reaction routes from RHO to BATHO. The recently resolved crystal structure of BATHO (PDBID: 2G87) served as an initial source of coordinates of heavy atoms. Protein structures in the ground electronic state and vibrational frequencies were determined by using the density functional theory in the PBE0/cc‐pVDZ approximation for the QM part and the AMBER force field parameters in the MM part. Calculated and assigned vibrational spectra of both model protein systems, BATHO and RHO, cover three main regions referring to the hydrogen‐out‐of‐plan (HOOP) motion, the C?C ethylenic stretches, and the C? C single‐bond stretches. The S₀–S₁ electronic excitation energies of the QM part, including the chromophore group in the field of the protein matrix, were estimated by using the advanced quantum chemistry methods. The computed structural parameters as well as the spectral bands match perfectly the experimental findings. A structure of the transition state on the S₀ potential energy surface for the ground electronic state rearrangement from RHO to BATHO was located proving a possible route of the thermal protein activation to the primary photoproduct. Proteins 2010. © 2009 Wiley‐Liss, Inc.     

诱导多能干细胞在医学方面的应用

2006年,首次报道在体外简单的转录因子就可以使体细胞重编程为多能性细胞。自从这项技术诞生以来,人们为改善诱导多能干细胞(iPSCs)技术做出了巨大努力,发展各种方法用于将重编程因子导入体细胞制备诱导多能干细胞(iPSCs)。诱导多能干细胞(iPSCs)技术彻底改变了人类对疾病发病机制的探索和药物开发的进程。本文简述了诱导多能干细胞的来源及诱导策略、近年来iPSCs在疾病建模、药物研发、再生医学等方面的应用,同时探讨了该技术当前存在的问题,并对未来进行了展望。     

脓毒症患者血清TOLL样受体4、脂联素与炎症反应和病情严重程度的关系

目的:探讨脓毒症患者血清TOLL样受体4(TLR4)、脂联素(APN)与炎症反应和病情严重程度的关系。方法:选取2016年12月到2018年4月期间在重庆市中医院接受治疗的脓毒症患者60例作为研究组,另选取同期本院健康体检者60例作为对照组。根据急性生理及慢性健康状况Ⅱ(APACHEⅡ)评分将脓毒症患者分为高分组17例(APACHEⅡ评分≥20分)和低分组43例(APACHEⅡ评分20分)。比较两组血清中的TLR4、APN、降钙素原(PCT)、肿瘤坏死因子-α(TNF-α)、C反应蛋白(CRP)水平,比较高分组和低分组患者血清中的TLR4、APN及炎症因子水平,分析脓毒症患者TLR4、APN的表达与炎症因子、APACHEⅡ评分的相关性。结果:研究组血清中的TLR4、PCT、TNF-α、CRP水平均明显高于对照组,APN水平明显低于对照组(P0.05)。高分组患者血清中的TLR4、PCT、TNF-α、CRP水平明显高于低分组,APN水平明显低于低分组(P0.05)。脓毒症患者TLR4的表达与PCT、TNF-α、CRP、APACHEⅡ评分呈正相关,APN的表达与PCT、TNF-α、CRP、APACHEⅡ评分呈负相关(P0.05)。结论:脓毒症患者病情越严重,TLR4水平越高,而APN水平越低,TLR4、APN可能是通过调节炎症反应来影响脓毒症患者的疾病进展。     

遗传性骨病致病基因及相关miRNA的相互作用分析

目的:筛选遗传性骨病相关的致病基因和其相关的mi RNA,并研究两者相互作用关系以及在遗传性骨病中的作用。方法:本研究应用生物信息学的方法,首先应用mirwalk和《国际遗传性骨病分类标准》分析遗传性骨病的致病基因,根据筛选出来的致病基因利用mirwalk的10个预测mirna搜索引擎功能,搜索致病基因的相关mi RNA,并应用excel工作表统计分析mirna的靶向致病基因;再应用Cytoscape软件分析致病基因和相关mirna之间的相互作用关系。结果:本研究中与遗传性骨病密切相关的基因可以分为四类:第一类为成骨不全类基因COL1A1、COL1A2等;第二类为骨密度降低类基因如ACVR1、ALX1等;第三类为骨密度增加类基因如CASR、DMTF1等;第四类为通过作用骨干参与骨密度增加的基因如TGFBR1、MYCN等。其中与成骨不全关系最为密切的mirna是hsa-miR-26b、hsa-miR-19、hsa-miR-200c;与骨密度降低关系最为密切的mirna是hsa-miR-138、hsa-miR-505;与骨密度增加关系最为密切的mirna是hsa-miR-196a、hsa-miR-200b、hsa-miR-19b。结论:mirna可通过调控遗传性骨病致病基因在其病理过程中起到重要作用,提示上述mirna可能是成为遗传性骨病产前筛查和临床药物治疗的新靶点。     

Microbial metabolite fluxes in a model marine anoxic ecosystem

Permanently anoxic regions in the ocean are widespread and exhibit unique microbial metabolic activity exerting substantial influence on global elemental cycles and climate. Reconstructing microbial metabolic activity rates in these regions has been challenging, due to the technical difficulty of direct rate measurements. In Cariaco Basin, which is the largest permanently anoxic marine basin and an important model system for geobiology, long‐term monitoring has yielded time series for the concentrations of biologically important compounds; however, the underlying metabolite fluxes remain poorly quantified. Here, we present a computational approach for reconstructing vertical fluxes and in situ net production/consumption rates from chemical concentration data, based on a 1‐dimensional time‐dependent diffusive transport model that includes adaptive penalization of overfitting. We use this approach to estimate spatiotemporally resolved fluxes of oxygen, nitrate, hydrogen sulfide, ammonium, methane, and phosphate within the sub‐euphotic Cariaco Basin water column (depths 150–900 m, years 2001–2014) and to identify hotspots of microbial chemolithotrophic activity. Predictions of the fitted models are in excellent agreement with the data and substantially expand our knowledge of the geobiology in Cariaco Basin. In particular, we find that the diffusivity, and consequently fluxes of major reductants such as hydrogen sulfide, and methane, is about two orders of magnitude greater than previously estimated, thus resolving a long‐standing apparent conundrum between electron donor fluxes and measured dark carbon assimilation rates.