Morphologic and volumetric studies of the meibomian glands in elderly human eyelids

PURPOSE: To study the microscopic structure of postmortem human Meibomian glands (MGs) in the elderly. METHODS: Human MG samples from left lower eyelids were obtained at autopsy from 5 men and 4 women with a mean age of 63.1 +/- 7.67 years. The tissues were fixed and embedded in paraffin. Serial transverse sections 5 mum thick were stained with hematoxylin and eosin (H&E), van Gieson, and Masson blue stains. Computer-assisted 3-dimensional reconstructions of MGs were performed, and morphologic and volumetric data were analyzed. RESULTS: The average length of human MGs in the nasal, central, and temporal areas was 1.551 +/- 0.43, 1.654 +/- 0.47, and 1.594 +/- 0.57 mm, respectively. The average surface area of the glands in the nasal, central, and temporal areas was 0.029 +/- 0.03, 0.033 +/- 0.01, and 0.056 +/- 0.03 mm, respectively. The average volume of glands in the nasal, central, and temporal areas was 0.054 +/- 00.4, 0.056 +/- 0.03, and 0.053 +/- 0.03 mm, respectively. A circular, floral arrangement of acini, surrounding the terminal duct just deep to the skin, is probably responsible for the circular arrangement seen clinically around each healthy orifice. We confirmed that most glands are embedded within a cylindrical, connective tissue matrix. CONCLUSIONS: We report the dimensions of normal Meibomian acini in an older population. Some structural features observed may explain normal physiologic landmarks or contribute to glandular pathophysiology.     

Investigation of interaction between DCDC2 and KIAA0319 in a large German dyslexia sample

The dyslexia susceptibility locus DYX2 (chr. 6p21-p22) harbours two candidate genes, DCDC2 and KIAA0319. In 2006, Harold et al. reported evidence for interaction between both genes. Having previously identified a risk haplotype for dyslexia in DCDC2, but not KIAA0319, in German families, we also tested for interaction between this risk haplotype and KIAA0319. We found a nominally significant association for the quantitative dimension “word reading”, the core phenotype in the study of Harold et al., which may be considered as supportive evidence.     

Presence of Mycotoxins in Milk Thistle (Silybum marianum) Food Supplements: A Review

The consumption of herbal-based supplements, which are believed to have beneficial effects on human health with no side effects, has become popular around the world and this trend is still increasing. Silybum marianum (L.) Gaertn, commonly known as milk thistle (MT), is the most commonly studied herb associated with the treatment of liver diseases. The hepatoprotective effects of active substances in silymarin, with silybin being the main compound, have been demonstrated in many studies. However, MT can be affected by toxigenic micro-fungi and contaminated by mycotoxins with adverse effects. The beneficial effect of silymarin can thus be reduced or totally antagonized by mycotoxins. MT has proven to be affected by micro-fungi of the Fusarium and Alternaria genera, in particular, and their mycotoxins. Alternariol-methyl-ether (AME), alternariol (AOH), beauvericin (BEA), deoxynivalenol (DON), enniatin A (ENNA), enniatin A₁ (ENNA₁), enniatin B (ENNB), enniatin B₁ (ENNB₁), HT-2 toxin (HT-2), T-2 toxin (T-2), tentoxin (TEN), and zearalenone (ZEA) seem to be most significant in MT-based dietary supplements. This review focuses on summarizing cases of mycotoxins in MT to emphasize the need for strict monitoring and regulation, as mycotoxins in relation with MT-based dietary supplements are not covered by European Union legislation.     

EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units

Detection of epistatic interaction between loci has been postulated to provide a more in-depth understanding of the complex biological and biochemical pathways underlying human diseases. Studying the interaction between two loci is the natural progression following traditional and well-established single locus analysis. However, the added costs and time duration required for the computation involved have thus far deterred researchers from pursuing a genome-wide analysis of epistasis. In this paper, we propose a method allowing such analysis to be conducted very rapidly. The method, dubbed EPIBLASTER, is applicable to case-control studies and consists of a two-step process in which the difference in Pearson's correlation coefficients is computed between controls and cases across all possible SNP pairs as an indication of significant interaction warranting further analysis. For the subset of interactions deemed potentially significant, a second-stage analysis is performed using the likelihood ratio test from the logistic regression to obtain the P-value for the estimated coefficients of the individual effects and the interaction term. The algorithm is implemented using the parallel computational capability of commercially available graphical processing units to greatly reduce the computation time involved. In the current setup and example data sets (211 cases, 222 controls, 299468 SNPs; and 601 cases, 825 controls, 291095 SNPs), this coefficient evaluation stage can be completed in roughly 1 day. Our method allows for exhaustive and rapid detection of significant SNP pair interactions without imposing significant marginal effects of the single loci involved in the pair.