Image Retrieval with Mixed Initiative and Multimodal Feedback

How would you search for a unique, fashionable shoe that a friend wore and you want to buy, but you didn't take a picture? Existing approaches propose interactive image search as a promising venue. However, they either entrust the user with taking the initiative to provide informative feedback, or give all control to the system which determines informative questions to ask. Instead, we propose a mixed-initiative framework where both the user and system can be active participants, depending on whose initiative will be more beneficial for obtaining high-quality search results. We develop a reinforcement learning approach which dynamically decides which of three interaction opportunities to give to the user: drawing a sketch, providing free-form attribute feedback, or answering attribute-based questions. By allowing these three options, our system optimizes both the informativeness and exploration capabilities allowing faster image retrieval. We outperform three baselines on three datasets and extensive experimental settings.Comment: In submission to BMVC 201

A Novel Statistical Algorithm for Gene Expression Analysis Helps Differentiate Pregnane X Receptor-Dependent and Independent Mechanisms of Toxicity

Genome-wide gene expression profiling has become standard for assessing potential liabilities as well as for elucidating mechanisms of toxicity of drug candidates under development. Analysis of microarray data is often challenging due to the lack of a statistical model that is amenable to biological variation in a small number of samples. Here we present a novel non-parametric algorithm that requires minimal assumptions about the data distribution. Our method for determining differential expression consists of two steps: 1) We apply a nominal threshold on fold change and platform p-value to designate whether a gene is differentially expressed in each treated and control sample relative to the averaged control pool, and 2) We compared the number of samples satisfying criteria in step 1 between the treated and control groups to estimate the statistical significance based on a null distribution established by sample permutations. The method captures group effect without being too sensitive to anomalies as it allows tolerance for potential non-responders in the treatment group and outliers in the control group. Performance and results of this method were compared with the Significant Analysis of Microarrays (SAM) method. These two methods were applied to investigate hepatic transcriptional responses of wild-type (PXR+/+) and pregnane X receptor-knockout (PXR−/−) mice after 96 h exposure to CMP013, an inhibitor of β-secretase (β-site of amyloid precursor protein cleaving enzyme 1 or BACE1). Our results showed that CMP013 led to transcriptional changes in hallmark PXR-regulated genes and induced a cascade of gene expression changes that explained the hepatomegaly observed only in PXR+/+ animals. Comparison of concordant expression changes between PXR+/+ and PXR−/− mice also suggested a PXR-independent association between CMP013 and perturbations to cellular stress, lipid metabolism, and biliary transport

Characterization of a FGF19 Variant with Altered Receptor Specificity Revealed a Central Role for FGFR1c in the Regulation of Glucose Metabolism

Diabetes and associated metabolic conditions have reached pandemic proportions worldwide, and there is a clear unmet medical need for new therapies that are both effective and safe. FGF19 and FGF21 are distinctive members of the FGF family that function as endocrine hormones. Both have potent effects on normalizing glucose, lipid, and energy homeostasis, and therefore, represent attractive potential next generation therapies for combating the growing epidemics of type 2 diabetes and obesity. The mechanism responsible for these impressive metabolic effects remains unknown. While both FGF19 and FGF21 can activate FGFRs 1c, 2c, and 3c in the presence of co-receptor βKlotho in vitro, which receptor is responsible for the metabolic activities observed in vivo remains unknown. Here we have generated a variant of FGF19, FGF19-7, that has altered receptor specificity with a strong bias toward FGFR1c. We show that FGF19-7 is equally efficacious as wild type FGF19 in regulating glucose, lipid, and energy metabolism in both diet-induced obesity and leptin-deficient mouse models. These results are the first direct demonstration of the central role of the βKlotho/FGFR1c receptor complex in glucose and lipid regulation, and also strongly suggest that activation of this receptor complex alone might be sufficient to achieve all the metabolic functions of endocrine FGF molecules

Transcriptional Activation of Vascular Cell Adhesion Molecule-1 Gene In Vivo and Its Role in the Pathophysiology of Neutrophil-Induced Liver Injury in Murine Endotoxin Shock

Polymorphonuclear leukocytes (neutrophils) can cause hepatic parenchymal cell injury during endotoxin (ET) shock. Because adhesion molecules are critical for inflammatory cell damage, the role of vascular cell adhesion molecule-1 (VCAM-1) was studied in the pathophysiology of ET shock. ET-sensitive mice (C3Heb/FeJ) were treated with 700 mg/kg galactosamine in combination with 100 μg/kg Salmonella abortus equi ET, 15 μg/kg TNF-α, or 13 to 23 μg/kg IL-1. VCAM-1 mRNA formation was strongly activated in animals treated with ET, TNF-α, or IL-1. In contrast, only TNF-α and IL-1, not ET, induced VCAM-1 gene transcription in livers of ET-resistant mice (C3H/HeJ). Immunohistochemistry and isolation of liver cells during endotoxemia indicated that VCAM-1 mRNA and protein were only formed in endothelial cells and Kupffer cells, not in hepatocytes. Galactosamine/ET induced neutrophil accumulation in sinusoids (515 ± 30 neutrophils/50 high power fields) followed by transmigration at 7 h. At that time, severe liver injury was observed (necrosis, 53 ± 5%). An anti-VCAM-1 Ab (3 mg/kg) attenuated the area of necrosis by 60%. The Ab reduced neutrophil transmigration by 84%, but had no effect on the total number of cells in the liver vasculature. Flow cytometric analysis identified the presence of very late Ag-4 on mouse peripheral neutrophils. Our data demonstrated cytokine-dependent VCAM-1 gene transcription and protein expression in the liver during endotoxemia. Neutrophils were able to use very late Ag-4/VCAM-1 interactions to transmigrate into liver parenchyma in vivo. Preventing transmigration by blocking VCAM-1 protected hepatocytes against neutrophil-induced injury

Release of soluble intercellular adhesion molecule 1 into bile and serum in murine endotoxin shock

Neutrophil-induced liver injury during endotoxemia is dependent on the adhesion molecules Mac-1 (CD11b/CD18) on neutrophils and its counterreceptor on endothelial cells and hepatocytes, intercellular adhesion molecule 1 (ICAM-1). To investigate a potential release of a soluble form of ICAM-1 (sICAM-1), animals received 100 μg/kg Salmonella abortus equi endotoxin alone or in combination with 700 mg/kg galactosamine. In endotoxin-sensitive mice (C3Heb/FeJ), injection of endotoxin did not cause liver injury but induced a time-dependent increase of sICAM-1 in serum (300%) and in bile (615%) without affecting bile flow. In galactosamine/endotoxin-treated animals, which developed liver injury, the increase in both compartments was only 97% and 104%, respectively. In either case, the increase in sICAM-1 concentrations paralleled the enhanced ICAM-1 expression in the liver. The endotoxin-resistant strain (C3H/HeJ) did not show elevated sICAM-1 levels in serum or bile after endotoxin administration. In contrast, the intravenous injection of murine tumor necrosis factor α (TNF-α), interleukin-1α (IL- 1α) or IL-1β (13-23 μg/kg) into endotoxin-resistant mice induced a 225% to 364% increase in serum sICAM-1 and a 370% elevation of the biliary efflux of sICAM-1, again independent of changes in bile flow. These data indicate that cytokines are major inducers of sICAM-1 formation during endotoxemia in vivo. The described experimental model can be used to investigate the cole of sICAM-1 in the pathophysiology of inflammatory liver disease