The present study demonstrates the efficacy and safety of the long-term leptin-replacement therapy and possible mechanisms of leptin actions in patients with generalized lipodystrophy.
Increasing interest is recently observed in the method of extracting human opinions from a large scale of heterogeneous text data such as Web documents.To automate the process of opinion extraction,having a collection of evaluative expressions such as"the seats are comfortable"would be useful.However,it can be prohibitively costly to manually create an exhaustive list of such expressions for many domains, because they tend to be domain-dependent.Motivated by this background,we have been exploring the way to accelerate the process of collecting evaluative expressions by applying a text mining technique.This paper proposes a semi-automatic method that uses particular cooccurrence patterns of evaluated subjects,focused attributes and values.Experimental results show its efficiency compared to manual collection of those expressions.
Purpose: The purpose of this research was to identify molecular clues to tumor progression and lymph node metastasis in esophageal cancer and to test their value as predictive markers.Experimental Design: We explored the gene expression profiles in cDNA array data of a 36-tissue training set of esophageal squamous cell carcinoma (ESCC) by using generalized linear model-based regression analysis and a feature subset selection algorithm. By applying the identified optimal feature sets (predictive gene sets), we trained and developed ensemble classifiers consisting of multiple probabilistic neural networks combined with AdaBoosting to predict tumor stages and lymph node metastasis. We validated the classifier abilities with 18 independent cases of ESCC. Conclusion: We suggest that these characteristic genes will provide useful information for understanding the malignant nature of ESCC as well as information useful for personalizing the treatments.
1Leptin augments glucose and lipid metabolism independent of its effect on satiety. Administration of leptin in rodents increases skeletal muscle -oxidation by activating AMP-activated protein kinase (AMPK). We previously reported that, as hyperleptinemic as obese human subjects, transgenic skinny mice overexpressing leptin in liver (
Hepatocellular carcinoma (HCC) is a highly prevalent cancer with poor prognosis. The correlation between overexpression of fatty acid‐binding protein 5 (FABP5) and malignant potential of tumor growth and metastasis in several cancers has been previously reported. However, the correlation between FABP5 expression and HCC malignant behavior remains unknown. We compared FABP5 expression and patient characteristics in paired HCC and adjacent noncancerous liver tissues from 243 patients who underwent surgical resection of primary HCC. Cell proliferation, invasion, and migration assays were performed in HCC cell lines overexpressing FABP5 or downregulated for FABP5. Tumor growths were monitored in xenograft model, and liver and lung metastasis models were established. In the 243 HCC patients, FABP5‐positive staining (n = 139/243, 57.2%) was associated with poor prognosis and recurrence (P < 0.0001) and showed positive correlation with distant metastasis, tumor size and vascular invasion (P < 0.05). Cell proliferation, invasion, and migration in vitro were enhanced by upregulation of FABP5 and decreased by downregulation of FABP5 in HCC cell lines. Similar results in tumor formation and metastasis were obtained through in vivo analyses. PCR array results revealed upregulation of SNAI1 in FABP5‐overexpressing HepG2 cells. Western blot analysis showed significantly increased expression of E‐cadherin and ZO‐1 and decreased SNAI1 expression and nuclear translocation of β‐catenin by knockdown of FABP5. We revealed a significant role for FABP5 in HCC progression and metastasis through the induction of epithelial‐to‐mesenchymal transition. FABP5 may be a potential novel prognostic biomarker and new therapeutic target for HCC.
Congenital generalized lipodystrophy (CGL), BerardinelliSeip syndrome, is a rare metabolic disorder characterized by a near total lack of adipose tissue from birth or early infancy. Recently, seipin, encoding a 398-amino acid protein of unknown function, and AGPAT2, encoding 1-acyl-sn-glycerol-3-phosphate acyltransferase 2, were identified as causative genes for CGL. Seipin mutations were found in patients from families originating from Europe and the Middle East. AGPAT2 mutations were found predominantly in African ancestry. However, no information is available on these genes in the pathogenesis of CGL in Asian ancestry. We examined the sequences of the entire coding region of seipin and AGPAT2 in four Japanese CGL patients from independent families. Their average body fat content was 4.7 ؎ 0.5%, and the plasma leptin level was 1.15 ؎ 0.14 ng/ml. We identified a novel nonsense mutation of seipin at codon 275 (R275X). Of four CGL patients, three were homozygous for R275X. No seipin mutation was found in any exon in one patient. We did not find any AGPAT2 mutations in our Japanese patients, suggesting that AGPAT2 is a minor causative gene, if any, for CGL in Japanese. This is the first report on gene and phenotype analysis of CGL in
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