[Analysis of pregnancy outcomes, disease progression, and risk factors in patients with undifferentiated connective tissue disease].

Objective: To investigate the fetal and maternal outcomes, risk factors of disease progression and adverse pregnancy outcomes (APOs) in patients with undifferentiated connective tissue disease (UCTD).

Methods: This retrospective study described the outcomes of 106 pregnancies in patients with UCTD. The patients were divided into APOs group (=53) and non-APOs group (=53).

GRAMD4 inhibits tumour metastasis by recruiting the E3 ligase ITCH to target TAK1 for degradation in hepatocellular carcinoma.

Background: Aberrant TAK1 (transforming growth factor β-activated kinase 1) activity is known to be involved in a variety of malignancies, but the regulatory mechanisms of TAK1 remain poorly understood. GRAMD4 (glucosyltransferase Rab-like GTPase activator and myotubularin domain containing 4) is a newly discovered p53-independent proapoptotic protein with an unclear role in HCC (hepatocellular carcinoma).

Results: In this research, we found that GRAMD4 expression was lower in HCC samples, and its downregulation predicted worse prognosis for patients after surgical resection.

Deltamethrin Impairs Honeybees (Apis mellifera) Dancing Communication.

As a commonly used pyrethroid insecticide, deltamethrin is very toxic to honeybees, which seriously threatens the managed and feral honeybee population. Because deltamethrin is a nerve agent, it may interfere with the nervous system of honeybees, such as dance behavior and memory-related characteristics. We found that the waggle dances were less precise in honeybees that consumed syrup containing deltamethrin (pesticide group) than those that consumed normal sucrose syrup (control group).

Evaluation of the Caprini Model for Venothromboembolism in Esophagectomy Patients.

Background: Patients undergoing esophagectomy for cancer are in the highest-risk group for venous thromboembolism, with a 7.3% incidence reported by the National Surgical Quality Improvement Program. Venothromboembolism (VTE) doubles esophagectomy mortality.

A combination of epitope prediction and molecular docking allows for good identification of MHC class I restricted T-cell epitopes.

In silico identification of T-cell epitopes is emerging as a new methodology for the study of epitope-based vaccines against viruses and cancer. In order to improve accuracy of prediction, we designed a novel approach, using epitope prediction methods in combination with molecular docking techniques, to identify MHC class I restricted T-cell epitopes. Analysis of the HIV-1 p24 protein and influenza virus matrix protein revealed that the present approach is effective, yielding prediction accuracy of over 80% with respect to experimental data.

Id1, inhibitor of differentiation, is a key protein mediating anti-tumor responses of gamma-tocotrienol in breast cancer cells.

Gamma-tocotrienol has demonstrated anti-proliferative effect on breast cancer (BCa) cells, but mechanisms involved are largely unknown. This study aimed at deciphering the molecular pathways responsible for its activity. Our results showed that treatment of BCa cells with gamma-tocotrienol resulted in induction of apoptosis as evidenced by activation of pro-caspases, accumulation of sub-G1 cells and DNA fragmentations.

Molecular gene expression signature patterns for gastric cancer diagnosis.

It is an accepted clinical practice to diagnose gastric cancer by using histological techniques on tissue obtained through endoscopic biopsy. However, the use of these techniques often results in difficulty distinguishing between benign and malignant growth due to the ambiguous nature of some of the morphological features observed. In order to improve this situation, public domain gene expression data has been analysed and a set of molecular gene expression signatures has been discovered that distinguishes between normal and malignant growth.

Using biomarker signature patterns for an mRNA molecular diagnostic of mouse embryonic stem cell differentiation state.

Background: The pluripotency and self-renewal capabilities, which define the "stemness" state, of mouse embryonic stem (ES) cells, are usually investigated by functional assays or quantitative measurements of the expression levels of known ES cell markers. Strong correlations between these expression levels and functional assays, particularly at the early stage of cell differentiation, have usually not been observed. An effective molecular diagnostic to properly identify the differentiation state of mouse ES cells, prior to further experimentation, is needed.

Molecular diagnosis of human cancer type by gene expression profiles and independent component analysis.

The precise diagnosis of cancer type based on microarray data is of particular importance and is also a challenging task. We have devised a novel pattern recognition procedure based on independent component analysis (ICA). Different from the conventional cancer classification methods, which are limited in their clinical applicability of cancer diagnosis, our method extracts explicitly, by ICA algorithm, a set of specific diagnostic patterns of normal and tumor tissues corresponding to a set of biomarkers for clinical use.

Putative structure and function of ORF3 in SARS coronavirus.

Based on molecular modeling techniques we constructed a rational 3D model of ORF3 in SARS coronavirus (SARS-CoV). Our studies suggest that the function of ORF3 could be involved in FAD/NAD binding according to its predicted structure and comparison with other structure neighbors. Furthermore, we identified three pairs of non-canonical N-H⋯π interactions in the structure of ORF3, which can make contributions to the stability of protein structure.

Conserved transcription factor binding sites of cancer markers derived from primary lung adenocarcinoma microarrays.

Gene transcription in a set of 49 human primary lung adenocarcinomas and 9 normal lung tissue samples was examined using Affymetrix GeneChip technology. A total of 3442 genes, called the set M AD, were found to be either up- or down-regulated by at least 2-fold between the two phenotypes. Genes assigned to a particular gene ontology term were found, in many cases, to be significantly unevenly distributed between the genes in and outside M AD.

Generation of predictive pharmacophore model for SARS-coronavirus main proteinase.

Pharmacophore-based virtual screening is an effective, inexpensive and fast approach to discovering useful starting points for drug discovery. In this study, we developed a pharmacophore model for the main proteinase of severe acute respiratory syndrome coronavirus (SARS-CoV). Then we used this pharmacophore model to search NCI 3D database including 250, 251 compounds and identified 30 existing drugs containing the pharmacophore query.

The 3D structure analysis of SARS-CoV S1 protein reveals a link to influenza virus neuraminidase and implications for drug and antibody discovery.

The spike protein of SARS-associated coronavirus (SARS-CoV) is an important target for anti-SARS drug discovery. Its S1 domain is responsible for receptor binding and SARS-CoV entry into cells. In this study, we constructed a rational 3D model for S1 domain of SARS-CoV spike protein by fold recognition and molecular modeling techniques.

Old drugs as lead compounds for a new disease? Binding analysis of SARS coronavirus main proteinase with HIV, psychotic and parasite drugs.

The SARS-associated coronavirus (SARS-CoV) main proteinase is a key enzyme in viral polyprotein processing. To allow structure-based design of drugs directed at SARS-CoV main proteinase, we predicted its binding pockets and affinities with existing HIV, psychotic and parasite drugs (lopinavir, ritonavir, niclosamide and promazine), which show signs of inhibiting the replication of SARS-CoV. Our results suggest that these drugs and another two HIV inhibitors (PNU and UC2) could be used as templates for designing SARS-CoV proteinase inhibitors.

Exploring the binding mechanism of the main proteinase in SARS-associated coronavirus and its implication to anti-SARS drug design.

The main proteinase of SARS-associated coronavirus (SARS-CoV) plays an important role in viral transcription and replication, and is an attractive target for anti-SARS drug development. The important thing is to understand its binding mechanism with possible ligands. In this study, we investigated possible noncanonical interactions, potential inhibitors, and binding pockets in the main proteinase of SARS-CoV based on its recently determined crystal structure.

Relationship of SARS-CoV to other pathogenic RNA viruses explored by tetranucleotide usage profiling.

Background: The exact origin of the cause of the Severe Acute Respiratory Syndrome (SARS) is still an open question. The genomic sequence relationship of SARS-CoV with 30 different single-stranded RNA (ssRNA) viruses of various families was studied using two non-standard approaches. Both approaches began with the vectorial profiling of the tetra-nucleotide usage pattern V for each virus.