Bayesian latent variable models for median regression on multiple outcomes

Often a response of interest cannot be measured directly and it is necessary to rely on multiple surrogates, which can be assumed to be conditionally independent given the latent response and observed covariates. Latent response models typically assume that residual densities are Gaussian. This article proposes a Bayesian median regression modeling approach, which avoids parametric assumptions about residual densities by relying on an approximation based on quantiles. To accommodate within-subject dependency, the quantile response categories of the surrogate outcomes are related to underlying normal variables, which depend on a latent normal response. This underlying Gaussian covariance structure simplifies interpretation and model fitting, without restricting the marginal densities of the surrogate outcomes. A Markov chain Monte Carlo algorithm is proposed for posterior computation, and the methods are applied to single-cell electrophoresis (comet assay) data from a genetic toxicology study.     

Structural features associated with the binding of glutamine-containing peptides to Factor XIII

Activated Factor XIII a2 catalyzes the formation of intermolecular gamma-glutamyl- epsilon -lysyl cross-links in the fibrin network. Solution NMR studies were carried out to characterize, the structural features associated with the binding of glutamine-containing peptides to Factor XIII. A coupled uv/vis kinetic assay demonstrated that K9 peptide (1-10), alpha2-antiplasmin (1-15), and alpha2-antiplasmin (1-15 Q4N) all function as glutamine-containing substrates for activated Factor XIII a2. 2D TOCSY spectra of the peptides exhibit upfield chemical shifts for the glutamine protons in the presence of Factor XIII. These results indicate that the reactive peptide glutamines are encountering a distinctive environment within the Factor XIII active site. 1D proton line-broadening and 2D transferred-NOESY studies reveal that the glutamines and residues located C-terminally come in direct contact with the enzyme and adopt an extended conformation. Substrates with sequences similar to alpha2-antiplasmin (1-15) are proposed to bind both at the catalytic site and at a neighboring apolar region.     

Bayesian modeling of incidence and progression of disease from cross-sectional data

In the absence of longitudinal data, the current presence and severity of disease can be measured for a sample of individuals to investigate factors related to disease incidence and progression. In this article, Bayesian discrete-time stochastic models are developed for inference from cross-sectional data consisting of the age at first diagnosis, the current presence of disease, and one or more surrogates of disease severity. Semiparametric models are used for the age-specific hazards of onset and diagnosis, and a normal underlying variable approach is proposed for modeling of changes with latency time in disease severity. The model accommodates multiple surrogates of disease severity having different measurement scales and heterogeneity among individuals in disease progression. A Markov chain Monte Carlo algorithm is described for posterior computation, and the methods are applied to data from a study of uterine leiomyoma.     

Metalloproteinase with factor X activating and fibrinogenolytic activities from Vipera berus berus venom

We have previously shown that Vipera berus berus venom contains several factor X activating enzymes. In the present study we have investigated one of them. The enzyme was separated from venom by gel filtration on Sephadex G-100 superfine and chromatography on agarose HPS-7 and phenyl-agarose. The enzyme is a glycosylated metalloproteinase containing hexoses, hexosamines and neuraminic acid. The purified factor X activating enzyme consists of two equal chains (59 kDa). The specificity studies have shown that enzyme is nonspecific factor X activating proteinase hydrolysing also proteins such as azocasein, gelatin and fibrinogen. The enzyme hydrolyses oxidized insulin B-chain at the positions Ala¹⁴–Leu¹⁵ and Tyr¹⁶–Leu¹⁷ but it is inactive on fibrin, plasminogen and prothrombin. We used 8–10 amino acid residues containing peptides, which reproduce the sequence around the cleavage sites in factor X, factor IX and fibrinogen, as potential substrates for enzyme. Cleavage products of peptide hydrolysis were determined by MALDI-TOF MS. The peptide Asn–Asn–Leu–Thr–Arg–Ile–Val–Gly–Gly—factor X fragment was cleaved by enzyme at positions Leu³–Thr⁴ and Arg⁵–Ile⁶. The fibrinogen peptide fragment Glu–Tyr–His–Thr–Glu–Lys–Leu–Val–Thr–Ser was hydrolysed at position Lys⁶–Leu⁷.     

Salmonella typhimurium forms adenylcobamide and 2-methyladenylcobamide, but no detectable cobalamin during strictly anaerobic growth

Under microaerophilic conditions Salmonella typhimurium LT2 synthesizes cobalamin, during which 5,6-dimethylbenzimidazole is formed from riboflavin. We report here that in an anoxic environment S. typhimurium did not form cobalamin, but rather adenylcobamide, 2-methyladenylcobamide, and cobyric acid. This indicated that S. typhimurium, like other microorganisms that synthesize 5,6-dimethylbenzimidazole from riboflavin, requires oxygen for the formation of the cobalamin base. Received: 29 June 1999 / Accepted: 29 September 1999     

低氧诱导因子抑制因子在低氧性肺动脉高压中的作用

目的:研究低氧性肺动脉高压(hypoxic pulmonary hypertension,HPH)形成过程中低氧诱导因子抑制因子(factor inhibiting hypoxia-inducible factor-1,FIH)在肺小动脉的表达变化及在HPH发病中的可能作用。方法:将36名患者分为慢性阻塞性肺疾病(chronic obstructive pulmonary disease,COPD)并肺动脉高压组(pulmonary hypertension,PH)组(PH组)、COPD非PH组(COPD组)、对照组,收集肺组织,观察其肺血管重塑指标,原位杂交法与免疫组织化学法检测肺小动脉壁FIH m RNA和蛋白的表达水平。结果:COPD组患者肺小动脉出现血管重塑,PH组患者肺小动脉重塑更明显(P0.05)。FIH m RNA在各组患者肺小动脉壁的表达无明显差异(P0.05);FIH蛋白在对照组患者肺小动脉壁高表达,COPD组表达降低,PH组表达进一步减少(P0.05)。直线相关分析表明,FIH蛋白与FIH m RNA无相关(P0.05);FIH蛋白与肺小动脉重塑指标、肺动脉收缩压均呈负相关(P0.01)。结论:慢性肺泡性低氧下调患者肺小动脉壁FIH表达,进而参与患者HPH发病。