Regression for matrix-valued data via Kronecker products factorization

We study the matrix-variate regression problem $Y_i = \sum_{k} \beta_{1k} X_i \beta_{2k}^{\top} + E_i$ for $i=1,2\dots,n$ in the high dimensional regime wherein the response $Y_i$ are matrices whose dimensions $p_{1}\times p_{2}$ outgrow both the sample size $n$ and the dimensions $q_{1}\times q_{2}$ of the predictor variables $X_i$ i.e., $q_{1},q_{2} \ll n \ll p_{1},p_{2}$. We propose an estimation algorithm, termed KRO-PRO-FAC, for estimating the parameters $\{\beta_{1k}\} \subset \Re^{p_1 \times q_1}$ and $\{\beta_{2k}\} \subset \Re^{p_2 \times q_2}$ that utilizes the Kronecker product factorization and rearrangement operations from Van Loan and Pitsianis (1993). The KRO-PRO-FAC algorithm is computationally efficient as it does not require estimating the covariance between the entries of the $\{Y_i\}$. We establish perturbation bounds between $\hat{\beta}_{1k} -\beta_{1k}$ and $\hat{\beta}_{2k} - \beta_{2k}$ in spectral norm for the setting where either the rows of $E_i$ or the columns of $E_i$ are independent sub-Gaussian random vectors. Numerical studies on simulated and real data indicate that our procedure is competitive, in terms of both estimation error and predictive accuracy, compared to other existing methods

Morus alba and active compound oxyresveratrol exert anti-inflammatory activity via inhibition of leukocyte migration involving MEK/ERK signaling

Background: Morus alba has long been used in traditional Chinese medicine to treat inflammatory diseases;however, the scientific basis for such usage and the mechanism of action are not well understood. This studyinvestigated the action of M. alba on leukocyte migration, one key step in inflammation.Methods: Gas chromatography-mass spectrometry (GC-MS) and cluster analyses of supercritical CO2 extractsof three Morus species were performed for chemotaxonomy-aided plant authentication. Phytochemistry andCXCR4-mediated chemotaxis assays were used to characterize the chemical and biological properties of M. albaand its active compound, oxyresveratrol. fluorescence-activated cell sorting (FACS) and Western blot analyses wereconducted to determine the mode of action of oxyresveratrol.Results: Chemotaxonomy was used to help authenticate M. alba. Chemotaxis-based isolation identifiedoxyresveratrol as an active component in M. alba. Phytochemical and chemotaxis assays showed that the crudeextract, ethyl acetate fraction and oxyresveratrol from M. alba suppressed cell migration of Jurkat T cells in responseto SDF-1. Mechanistic study indicated that oxyresveratrol diminished CXCR4-mediated T-cell migration via inhibitionof the MEK/ERK signaling cascade.Conclusions: A combination of GC-MS and cluster analysis techniques are applicable for authentication of theMorus species. Anti-inflammatory benefits of M. alba and its active compound, oxyresveratrol, may involve theinhibition of CXCR-4-mediated chemotaxis and MEK/ERK pathway in T and other immune cells

Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study.

Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist

FLJ10540 is associated with tumor progression in nasopharyngeal carcinomas and contributes to nasopharyngeal cell proliferation, and metastasis via osteopontin/CD44 pathway

BACKGROUND: Nasopharyngeal carcinoma (NPC) is well-known for its highly metastatic characteristics, but little is known of its molecular mechanisms. New biomarkers that predict clinical outcome, in particular the ability of the primary tumor to develop metastatic tumors are urgently needed. The aim of this study is to investigate the role of FLJ10540 in human NPC development. METHODS: A bioinformatics approach was used to explore the potentially important regulatory genes involved in the growth/metastasis control of NPC. FLJ10540 was chosen for this study. Two co-expression strategies from NPC microarray were employed to identify the relationship between FLJ10540 and osteopontin. Quantitative-RT-PCR, immunoblotting, and immunohistochemistry analysis were used to investigate the mRNA and protein expression profiles of FLJ10540 and osteopontin in the normal and NPC tissues to confirm microarray results. TW01 and Hone1 NPC cells with overexpression FLJ10540 or siRNA to repress endogenous FLJ10540 were generated by stable transfection to further elucidate the molecular mechanisms of FLJ10540-elicited cell growth and metastasis under osteopontin stimulation. RESULTS: We found that osteopontin expression exhibited a positive correlation with FLJ10540 in NPC microarray. We also demonstrated comprehensively that FLJ10540 and osteopontin were not only overexpressed in NPC specimens, but also significantly correlated with advanced tumor and lymph node-metastasis stages, and had a poor 5-year survival rate, respectively. Stimulation of NPC parental cells with osteopontin results in an increase in FLJ10540 mRNA and protein expressions. Functionally, FLJ10540 transfectant alone, or stimulated with osteopontin, exhibited fast growth and increased metastasis as compared to vehicle control with or without osteopontin stimulation. Conversely, knockdown of FLJ10540 by siRNA results in the suppression of NPC cell growth and motility. Treatment with anti-CD44 antibodies in NPC parental cells not only resulted in a decrease of FLJ10540 protein, but also affected the abilities of FLJ10540-elicited cell growth and motility in osteopontin stimulated-NPC cells. CONCLUSIONS: These findings suggest that FLJ10540 may be critical regulator of disease progression in NPC, and the underlying mechanism may involve in the osteopontin/CD44 pathway

Affording inclusive dyslexia-friendly online text reading

To date, guidelines for designing inclusive dyslexia-friendly online learning environments, which take into consideration both learners with and without dyslexia, are still scarce. As web text is one of the extensively used elements in online learning, this study aims to derive practical guidelines on this aspect by exploring the experience of learners with dyslexia and learners without dyslexia when using different online reading affordances. The study employed a within-subjects qualitative study and key patterns that emerged from the data collected via observations and interviews were interpreted based on two important aspects of learning experience, which were perceived learning and engagement. The study reveals that (1) the direct application of Printed Text on the web should be carefully considered, (2) existing web accessibility guidelines (limit to guidelines examined in this study) are appropriate and (3) the use of a Screen Reader for online reading should not be made compulsory and be available as an option instead. The comparison between the experience of learners with and without dyslexia in this study has yielded insights into affordances that are perceived positively by both groups of learners. As learners with dyslexia form a significant minority of the online learning population, the inclusive dyslexia-friendly guidelines derived from this study would better inform the future implementation of online reading affordances that acknowledge differences and similarities between online learners