Systematic selection of competing metabolomics methods in a metabolite-sensory relationship study

Metabolomics - To study metabolic signatures can be used to identify predictive biomarkers for a patient's therapeutic response. We hypothesized that the characterization of a patients’...     

Mapping QTLs for tissue culture response in soybean (Glycine max (L.) Merr.)

Hempseed is rich in polyunsaturated fatty acids (PUFAs), which have potential as therapeutic compounds for the treatment of neurodegenerative and cardiovascular disease. However, the effect of hempseed meal (HSM) intake on the animal models of these diseases has yet to be elucidated. In this study, we assessed the effects of the intake of HSM and PUFAs on oxidative stress, cytotoxicity and neurological phenotypes, and cholesterol uptake, using Drosophila models. HSM intake was shown to reduce H₂O₂ toxicity markedly, indicating that HSM exerts a profound antioxidant effect. Meanwhile, intake of HSM, as well as linoleic or linolenic acids (major PUFA components of HSM) was shown to ameliorate Aβ42-induced eye degeneration, thus suggesting that these compounds exert a protective effect against Aβ42 cytotoxicity. On the contrary, locomotion and longevity in the Parkinson’s disease model and eye degeneration in the Huntington’s disease model were unaffected by HSM feeding. Additionally, intake of HSM or linoleic acid was shown to reduce cholesterol uptake significantly. Moreover, linoleic acid intake has been shown to delay pupariation, and cholesterol feeding rescued the linoleic acid-induced larval growth delay, thereby indicating that linoleic acid acts antagonistically with cholesterol during larval growth. In conclusion, our results indicate that HSM and linoleic acid exert inhibitory effects on both Aβ42 cytotoxicity and cholesterol uptake, and are potential candidates for the treatment of Alzheimer’s disease and cardiovascular disease.     

Polymorphisms of estrogen receptors alpha and beta in idiopathic, infertile Brazilian men: a case-control study

Estrogen plays an important role in the human reproductive system and its action is mediated mainly by two specific receptors: α (ERα) and β (ERβ). There are polymorphic variants in both ER genes, and studies showed their association with reproductive outcomes. We aimed to determine the distribution of ERα and ERβ gene polymorphisms in idiopathic, infertile Brazilian patients in a case–control study comprising 187 idiopathic, infertile Brazilian men with nonobstructive azoospermia (NOA, n = 78) or severe oligozoospermia (SO, n = 109) and 216 fertile men. Detection of ERα (PvuII and XbaI) and ERβ (AluI and RsaI) gene polymorphisms were performed using TaqMan PCR. The results were analyzed statically, and a P‐value < 0.05 was considered significant. Single‐marker analysis revealed that neither PvuII nor XbaI polymorphisms of the ERα gene were associated either with NOA group (P = 0.662 and P = 0.527, respectively) or SO group (P = 0.777 and P = 1.0, respectively). Regarding ERβ polymorphisms, no statistical difference was observed between the AluI polymorphism and NOA group compared to controls (P = 1.0) or between SO group and controls (P = 0.423). We found similar results with the RsaI polymorphism. Statistical analysis did not reveal a difference between NOA (P = 0.740) and SO (P = 0.920) groups compared to controls. Combined genotypes of ERα and ERβ polymorphisms did not identify a haplotype associated with idiopathic infertility. Thus, in the Brazilian population, genetic variations in both estrogen receptors alpha (PvuII and XbaI) and beta (AluI and RsaI) were not relevant to idiopathic infertility. Mol. Reprod. Dev. 78:665–672, 2011. © 2011 Wiley‐Liss, Inc.     

Multiple testing in candidate gene situations: a comparison of classical, discrete, and resampling-based procedures

In candidate gene association studies, usually several elementary hypotheses are tested simultaneously using one particular set of data. The data normally consist of partly correlated SNP information. Every SNP can be tested for association with the disease, e.g., using the Cochran-Armitage test for trend. To account for the multiplicity of the test situation, different types of multiple testing procedures have been proposed. The question arises whether procedures taking into account the discreteness of the situation show a benefit especially in case of correlated data. We empirically evaluate several different multiple testing procedures via simulation studies using simulated correlated SNP data. We analyze FDR and FWER controlling procedures, special procedures for discrete situations, and the minP-resampling-based procedure. Within the simulation study, we examine a broad range of different gene data scenarios. We show that the main difference in the varying performance of the procedures is due to sample size. In small sample size scenarios,the minP-resampling procedure though controlling the stricter FWER even had more power than the classical FDR controlling procedures. In contrast, FDR controlling procedures led to more rejections in higher sample size scenarios.     

Identification of a conserved glycan signature for microvesicles

Microvesicles (exosomes) are important mediators of intercellular communication, playing a role in immune regulation, cancer progression, and the spread of infectious agents. The biological functions of these small vesicles are dependent on their composition, which is regulated by mechanisms that are not well understood. Although numerous proteomic studies of these particles exist, little is known about their glycosylation. Carbohydrates are involved in protein trafficking and cellular recognition. Glycomic analysis may thus provide valuable insights into microvesicle biology. In this study, we analyzed glycosylation patterns of microvesicles derived from a variety of biological sources using lectin microarray technology. Comparison of the microvesicle glycomes with their parent cell membranes revealed both enrichment and depletion of specific glycan epitopes in these particles. These include enrichment in high mannose, polylactosamine, α-2,6 sialic acid, and complex N-linked glycans and exclusion of terminal blood group A and B antigens. The polylactosamine signature derives from distinct glycoprotein cohorts in microvesicles of different origins. Taken together, our data point to the emergence of microvesicles from a specific membrane microdomain, implying a role for glycosylation in microvesicle protein sorting.