Meta-analysis of estrogen response in MCF-7 distinguishes early target genes involved in signaling and cell proliferation from later target genes involved in cell cycle and DNA repair.

ABSTRACT: BACKGROUND: Many studies have been published outlining the global effects of 17 beta-estradiol (E2) on gene expression in human epithelial breast cancer derived MCF-7 cells. These studies show large variation in results, reporting between ~100 and ~1500 genes regulated by E2, with poor overlap. RESULTS: We performed a meta-analysis of these expression studies, using the Rank product method to obtain a more accurate and stable list of the differentially expressed genes, and of pathways regulated by E2. We analyzed 9 time-series data sets, concentrating on response at 3-4 hrs (early) and at 24 hrs (late). We found >1000 statistically significant probe sets after correction for multiple testing at 3-4 hrs, and >2000 significant probe sets at 24 hrs. Differentially expressed genes were examined by pathway analysis. This revealed 15 early response pathways, mostly related to cell signaling and proliferation, and 20 late response pathways, mostly related to breast cancer, cell division, DNA repair and recombination. CONCLUSIONS: Our results show that meta-analysis identified more differentially expressed genes than the individual studies, and that these genes act together in networks. These results provide new insight into E2 regulated mechanisms, especially in the context of breast cancer.

Peroxisome proliferator-activated receptor (PPAR)-beta as a target for wound healing drugs: what is possible?

Peroxisome proliferator-activated receptor (PPAR) dysfunction has been implicated in the manifestation of many diseases and illnesses, ranging from obesity to cancer. Herein, we discuss the role of PPARbeta, one of the three PPAR isotypes, during wound healing. While PPARbeta expression is undetectable in unchallenged and healthy adult interfollicular mouse skin, it is robustly re-activated in stress situations, such as upon phorbol ester treatment, hair plucking and cutaneous wounding. The inflammatory reaction associated with a skin injury activates the keratinocytes at the edges of the wound. This activation involves PPARbeta, whose expression and activity as transcription factor are up-regulated by pro-inflammatory signals. The re-activation of PPARbeta influences three important properties of the activated keratinocytes that are vital for rapid wound closure, namely, survival, migration and differentiation. The anti-apoptotic and, thus, survival role of PPARbeta is mediated by the up-regulation of expression of integrin-linked kinase and 3-phosphoinositide-dependent kinase-1. Both kinases are required for the full activation of the Akt1 survival cascade. Therefore, the up-regulation of PPARbeta, early after injury, appears to be important to maintain a sufficient number of viable keratinocytes at the wound edge. At a later stage of wound repair, the stimulation of keratinocyte migration and differentiation by PPARbeta is also likely to be important for the formation of a new epidermis at the wounded area. Consistent with these observations, the entire wound healing process is delayed in PPARbeta +/- mice and wound closure is retarded by 2-3 days. The multiple roles of PPARbeta in the complex keratinocyte response after injury and during skin repair certainly justify a further exploration of its potential as a target for wound healing drugs.

The prediction of speed and incline in outdoor running in humans using accelerometry.

PURPOSE: To explore whether triaxial accelerometric measurements can be utilized to accurately assess speed and incline of running in free-living conditions. METHODS: Body accelerations during running were recorded at the lower back and at the heel by a portable data logger in 20 human subjects, 10 men, and 10 women. After parameterizing body accelerations, two neural networks were designed to recognize each running pattern and calculate speed and incline. Each subject ran 18 times on outdoor roads at various speeds and inclines; 12 runs were used to calibrate the neural networks whereas the 6 other runs were used to validate the model. RESULTS: A small difference between the estimated and the actual values was observed: the square root of the mean square error (RMSE) was 0.12 m x s(-1) for speed and 0.014 radiant (rad) (or 1.4% in absolute value) for incline. Multiple regression analysis allowed accurate prediction of speed (RMSE = 0.14 m x s(-1)) but not of incline (RMSE = 0.026 rad or 2.6% slope). CONCLUSION: Triaxial accelerometric measurements allows an accurate estimation of speed of running and incline of terrain (the latter with more uncertainty). This will permit the validation of the energetic results generated on the treadmill as applied to more physiological unconstrained running conditions.

Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity.

Sarcomas are heterogeneous and aggressive mesenchymal tumors. Histological grading has so far been the best predictor for metastasis-free survival, but it has several limitations, such as moderate reproducibility and poor prognostic value for some histological types. To improve patient grading, we performed genomic and expression profiling in a training set of 183 sarcomas and established a prognostic gene expression signature, complexity index in sarcomas (CINSARC), composed of 67 genes related to mitosis and chromosome management. In a multivariate analysis, CINSARC predicts metastasis outcome in the training set and in an independent 127 sarcomas validation set. It is superior to the Fédération Francaise des Centres de Lutte Contre le Cancer grading system in determining metastatic outcome for sarcoma patients. Furthermore, it also predicts outcome for gastrointestinal stromal tumors (GISTs), breast carcinomas and lymphomas. Application of the signature will permit more selective use of adjuvant therapies for people with sarcomas, leading to decreased iatrogenic morbidity and improved outcomes for such individuals.

Novel methods improve prediction of species' distributions from occurrence data

Prediction of species' distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, yet little effective guidance on how best to use this information in the context of numerous approaches for modelling distributions. To meet this need, we compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date. We used presence-only data to fit models, and independent presence-absence data to evaluate the predictions. Along with well-established modelling methods such as generalised additive models and GARP and BIOCLIM, we explored methods that either have been developed recently or have rarely been applied to modelling species' distributions. These include machine-learning methods and community models, both of which have features that may make them particularly well suited to noisy or sparse information, as is typical of species' occurrence data. Presence-only data were effective for modelling species' distributions for many species and regions. The novel methods consistently outperformed more established methods. The results of our analysis are promising for the use of data from museums and herbaria, especially as methods suited to the noise inherent in such data improve.

Alterations in microRNA expression contribute to fatty acid-induced pancreatic beta-cell dysfunction.

OBJECTIVE: Visceral obesity and elevated plasma free fatty acids are predisposing factors for type 2 diabetes. Chronic exposure to these lipids is detrimental for pancreatic beta-cells, resulting in reduced insulin content, defective insulin secretion, and apoptosis. We investigated the involvement in this phenomenon of microRNAs (miRNAs), a class of noncoding RNAs regulating gene expression by sequence-specific inhibition of mRNA translation. RESEARCH DESIGN AND METHODS: We analyzed miRNA expression in insulin-secreting cell lines or pancreatic islets exposed to palmitate for 3 days and in islets from diabetic db/db mice. We studied the signaling pathways triggering the changes in miRNA expression and determined the impact of the miRNAs affected by palmitate on insulin secretion and apoptosis. RESULTS: Prolonged exposure of the beta-cell line MIN6B1 and pancreatic islets to palmitate causes a time- and dose-dependent increase of miR34a and miR146. Elevated levels of these miRNAs are also observed in islets of diabetic db/db mice. miR34a rise is linked to activation of p53 and results in sensitization to apoptosis and impaired nutrient-induced secretion. The latter effect is associated with inhibition of the expression of vesicle-associated membrane protein 2, a key player in beta-cell exocytosis. Higher miR146 levels do not affect the capacity to release insulin but contribute to increased apoptosis. Treatment with oligonucleotides that block miR34a or miR146 activity partially protects palmitate-treated cells from apoptosis but is insufficient to restore normal secretion. CONCLUSIONS: Our findings suggest that at least part of the detrimental effects of palmitate on beta-cells is caused by alterations in the level of specific miRNAs.

Fsp27/CIDEC is a CREB target gene induced during early fasting in liver and regulated by FA oxidation rate

FSP27 (CIDEC in humans) is a protein associated with lipid droplets that downregulates the fatty acid oxidation (FAO) rate when it is overexpressed. However, little is known about its physiological role in liver. Here, we show that fasting regulates liver expression of Fsp27 in a time-dependent manner. Thus, during the initial stages of fasting a maximal induction of 800-fold was achieved, while during the later phase of fasting, Fsp27 expression decreased. The early response to fasting can be explained by a canonical PKA-CREB-CRTC2 signaling pathway since: i) CIDEC expression was induced by forskolin, ii) Fsp27 promoter activity was increased by CREB, and iii) Fsp27 expression was upregulated in the liver of Sirt1 knockout animals. Interestingly, pharmacological (etomoxir) or genetic (Hmgcs2 interference) inhibition of the FAO rate increases the in vivo expression of Fsp27 during fasting. Similarly, CIDEC expression was upregulated in HepG2 cells by either etomoxir or HMGCS2 interference. Our data indicate that there is a kinetic mechanism of auto-regulation between short- and long-term fasting, by which free fatty acids delivered to the liver during early fasting are accumulated/exported by FSP27/CIDEC, while over longer periods of fasting they are degraded in the mitochondria through the carnitine palmitoyl transferase (CPT) system.

Focal dystonia and the Sensory-Motor Integrative Loop for Enacting (SMILE).

Performing accurate movements requires preparation, execution, and monitoring mechanisms. The first two are coded by the motor system, the latter by the sensory system. To provide an adaptive neural basis to overt behaviors, motor and sensory information has to be properly integrated in a reciprocal feedback loop. Abnormalities in this sensory-motor loop are involved in movement disorders such as focal dystonia, a hyperkinetic alteration affecting only a specific body part and characterized by sensory and motor deficits in the absence of basic motor impairments. Despite the fundamental impact of sensory-motor integration mechanisms on daily life, the general principles of healthy and pathological anatomic-functional organization of sensory-motor integration remain to be clarified. Based on the available data from experimental psychology, neurophysiology, and neuroimaging, we propose a bio-computational model of sensory-motor integration: the Sensory-Motor Integrative Loop for Enacting (SMILE). Aiming at direct therapeutic implementations and with the final target of implementing novel intervention protocols for motor rehabilitation, our main goal is to provide the information necessary for further validating the SMILE model. By translating neuroscientific hypotheses into empirical investigations and clinically relevant questions, the prediction based on the SMILE model can be further extended to other pathological conditions characterized by impaired sensory-motor integration.

Improving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variables

Questions Soil properties have been widely shown to influence plant growth and distribution. However, the degree to which edaphic variables can improve models based on topo-climatic variables is still unclear. In this study, we tested the roles of seven edaphic variables, namely (1) pH; (2) the content of nitrogen and of (3) phosphorus; (4) silt; (5) sand; (6) clay and (7) carbon-to-nitrogen ratio, as predictors of species distribution models in an edaphically heterogeneous landscape. We also tested how the respective influence of these variables in the models is linked to different ecological and functional species characteristics. Location The Western Alps, Switzerland. Methods With four different modelling techniques, we built models for 115 plant species using topo-climatic variables alone and then topo-climatic variables plus each of the seven edaphic variables, one at a time. We evaluated the contribution of each edaphic variable by assessing the change in predictive power of the model. In a second step, we evaluated the importance of the two edaphic variables that yielded the largest increase in predictive power in one final set of models for each species. Third, we explored the change in predictive power and the importance of variables across plant functional groups. Finally, we assessed the influence of the edaphic predictors on the prediction of community composition by stacking the models for all species and comparing the predicted communities with the observed community. Results Among the set of edaphic variables studied, pH and nitrogen content showed the highest contributions to improvement of the predictive power of the models, as well as the predictions of community composition. When considering all topo-climatic and edaphic variables together, pH was the second most important variable after degree-days. The changes in model results caused by edaphic predictors were dependent on species characteristics. The predictions for the species that have a low specific leaf area, and acidophilic preferences, tolerating low soil pH and high humus content, showed the largest improvement by the addition of pH and nitrogen in the model. Conclusions pH was an important predictor variable for explaining species distribution and community composition of the mountain plants considered in our study. pH allowed more precise predictions for acidophilic species. This variable should not be neglected in the construction of species distribution models in areas with contrasting edaphic conditions.

A Novel Volume-Age-KPS (VAK) Glioblastoma Classification Identifies a Prognostic Cognate microRNA-Gene Signature.

BACKGROUND: Several studies have established Glioblastoma Multiforme (GBM) prognostic and predictive models based on age and Karnofsky Performance Status (KPS), while very few studies evaluated the prognostic and predictive significance of preoperative MR-imaging. However, to date, there is no simple preoperative GBM classification that also correlates with a highly prognostic genomic signature. Thus, we present for the first time a biologically relevant, and clinically applicable tumor Volume, patient Age, and KPS (VAK) GBM classification that can easily and non-invasively be determined upon patient admission. METHODS: We quantitatively analyzed the volumes of 78 GBM patient MRIs present in The Cancer Imaging Archive (TCIA) corresponding to patients in The Cancer Genome Atlas (TCGA) with VAK annotation. The variables were then combined using a simple 3-point scoring system to form the VAK classification. A validation set (N = 64) from both the TCGA and Rembrandt databases was used to confirm the classification. Transcription factor and genomic correlations were performed using the gene pattern suite and Ingenuity Pathway Analysis. RESULTS: VAK-A and VAK-B classes showed significant median survival differences in discovery (P = 0.007) and validation sets (P = 0.008). VAK-A is significantly associated with P53 activation, while VAK-B shows significant P53 inhibition. Furthermore, a molecular gene signature comprised of a total of 25 genes and microRNAs was significantly associated with the classes and predicted survival in an independent validation set (P = 0.001). A favorable MGMT promoter methylation status resulted in a 10.5 months additional survival benefit for VAK-A compared to VAK-B patients. CONCLUSIONS: The non-invasively determined VAK classification with its implication of VAK-specific molecular regulatory networks, can serve as a very robust initial prognostic tool, clinical trial selection criteria, and important step toward the refinement of genomics-based personalized therapy for GBM patients.

Target blood pressure attainment with antihypertensive therapy in Swiss primary care.

Introduction: The control of high blood pressure (BP) remains insufficient in developed as well as in developing countries. We conducted a cross-sectional survey to investigate the management of hypertension and the achievement of target BPs in a large population of hypertensive patients treated by Swiss primary care physicians. Methods. Data from 4594 hypertensive patients were collected and assessed for demographic data, mode of treatment and BP achievements for the overall population and for high-risk patients such as diabetics and patients with impaired renal function (CKD patients). Furthermore, we analysed the achieved BP in patients receiving single pill combinations or dual free combinations for the three most commonly prescribed substances. Results. In this large patient population, 84% of patients were receiving an antihypertensive treatment of which 54% showed BP control (< 140/90 mmHg or < 130/80 mmHg for diabetics and patients with CKD). Considering the higher BP target in the elderly, 60.6% of treated patients were on target. In contrast, 28.8% of treated diabetics and 29.7% of patients with impaired renal function met BP goals. Diuretics and blockers of the renin-angiotensin system were the most commonly prescribed substances. High-risk patients and patients at advanced age (≥ 80 years) received dual free combination more frequently than younger patients. The use of diuretics was particularly high because of the prescription of single pill formulations. Differences in the pattern of drug prescription were found according to the linguistic areas. Conclusion. The control of hypertension in the Swiss hypertensive population is relatively high but still insufficient particularly among high cardiovascular risk patients such as diabetics and patients with impaired renal function. A further improvement of BP control could perhaps be achieved with a greater use of single pill combinations particularly in patients with complicated hypertension.

The tumor suppressive role of WIF1 in glioblastoma

Expression based prediction of gene alterations identified WNT inhibitory factor I (WIF1) as a new candidate tumor suppressor gene involved in glioblastoma. WIF1 encodes a secreted WNT antagonist and it is strongly down-regulated in most glioblastoma as compared to normal brain both by genomic deletion and WIF1 promoter hypermethylation. WIF1 expression in glioblastoma cell lines inhibited cell proliferation in vitro and in vivo and strongly reduced migration capability. Interestingly, WIF1 expression induced a senescence-like phenotype characterized by the appearance of enlarged, flattened and multinucleated cells positive for the presence of senescence associated ß-galactosidase, a late marker of senescence. It is of note that WIF1 induced senescence, in glioma cell lines, is independent of either p53 or pRB, two pathways that have been widely associated with this process. The analysis of the signaling pathways downstream of WIF1 brought some interesting results. WIF1 expression inhibited the canonical pathway but alteration of this pathway alone couldn't explain all the WIFl-induced effects. Some WIF1-related changes were attributed to inhibition of the non-canonical pathway, as we could prove by downregulation of WNT5a, the main ligand of the non-canonical WNT pathway. For example, a drastic reduction of phosphorylation of both ERK and p38 was detected when either overexpressing WIF1 or downregulating WNT5a. Due to the complexity of the non-canonical pathway is difficult to define the precise mechanism of signal transduction. We have excluded the involvement of the WNT5a-JNK-APl pathway and preliminary results suggest the implication of the WNT-calcium signaling, but further evidence is needed. Moreover, from the analysis of the gene expression profile of WIF1 expressing cells we could select a very interesting candidate: MALATI, a non-coding RNA widely associated with migratory capability in many different types of tumors. We found MALATI to be overexpressed in glioblastoma specimens compared to normal brain and to be associated with total tumor volume. The downregulation of MALATI by RNAi (RNA interference] drastically impairs migration, thus it is a very interesting potential target in the context of invasive tumors such as glioblastoma. Résumé WIFl a été sélectionné en tant que putatif suppresseur de tumeurs dans le cadre des glioblastomes par une analyse qui a était conduit à partir des données d'expression de gènes provenant d'environ 80 glioblastomes. WIF1 code pour une protéine destinée à la sécrétion qui antagonise la voie de WNT et son expression est fortement sous-exprimé dans la plupart des glioblastome par rapport à tissu cérébral normal. Cette sous-expression est due à deux mécanismes différents: à la délétion de la partie génomique codant pour WIF1 et à l'hyper méthylation de son promoteur. La surexpression de WIF1 réduit la capacité de prolifération des cellules de glioblastome in vitro ainsi que in vivo et elle réduit aussi leur capacité migratoire. Il est intéressant de remarquer que l'espression de WIF1 induit un phénotype sénescent caractérisé par l'apparition de cellules aplaties, multi nucléées et positives pour l'activité de l'enzyme ß-galactosidase associée à la sénescence, un marqueur tardif de la sénescence. Il est à noter que le phénotype sénescent qui est induit par WIF1 est indépendant de p53 et pRB, deux voies qui ont été largement associées à ce processus. L'analyse des les voies de signalisation en aval de WIFl a apporté des résultats intéressants. L'expression de WIF1 inhibe la voie canonique de WNT, mais l'altération de cette voie seule ne pouvait pas expliquer tous les effets induits par WIF1. Nous avons pu prouver que certains changements sont liés à l'inhibition de la voie non-canonique qui est activée par WNT5cc. Par exemple, une réduction drastique de la phosphorylation de ERK et p38 à la fois a été détectée lorsque WIFl a été surexprimé ou WNT5a sous- exprimé. En raison de la complexité de la voie non-canonique, il est difficile de définir le mécanisme précis de la transduction du signal. Nous avons exclu l'implication de la voie JNK-WNT5a-APl et les résultats préliminaires suggèrent l'implication de la voie de signalisation appelée WNT-calcium. En plus, l'analyse du profil d'expression génique de cellules sur-exprimant WIF1 nous a permis d'identifier un candidat très intéressant: MALATI, un ARN non- codants largement associés à la capacité migratoire dans nombreux types de tumeurs. Nous avons trouvé que MALATI est surexprimé dans les échantillons de glioblastome par rapport à tissu cérébral normal et il est associé au volume total de la tumeur. La sous-expression de MALATI altère considérablement la migration des cellules tumorales. Donc, MALATI, est une cible potentielle très intéressante dans le cadre d'une tumeur invasive telle que le glioblastome.

Prediction of difficult intubation with advanced face recognition techniques: a preliminary study

Introduction: Difficult tracheal intubation remains a constant and significant source of morbidity and mortality in anaesthetic practice. Insufficient airway assessment in the preoperative period continues to be a major cause of unanticipated difficult intubation. Although many risk factors have already been identified, preoperative airway evaluation is not always regarded as a standard procedure and the respective weight of each risk factor remains unclear. Moreover the predictive scores available are not sensitive, moderately specific and often operator-dependant. In order to improve the preoperative detection of patients at risk for difficult intubation, we developed a system for automated and objective evaluation of morphologic criteria of the face and neck using video recordings and advanced techniques borrowed from face recognition. Method and results: Frontal video sequences were recorded in 5 healthy volunteers. During the video recording, subjects were requested to perform maximal flexion-extension of the neck and to open wide the mouth with tongue pulled out. A robust and real-time face tracking system was then applied, allowing to automatically identify and map a grid of 55 control points on the face, which were tracked during head motion. These points located important features of the face, such as the eyebrows, the nose, the contours of the eyes and mouth, and the external contours, including the chin. Moreover, based on this face tracking, the orientation of the head could also be estimated at each frame of the video sequence. Thus, we could infer for each frame the pitch angle of the head pose (related to the vertical rotation of the head) and obtain the degree of head extension. Morphological criteria used in the most frequent cited predictive scores were also extracted, such as mouth opening, degree of visibility of the uvula or thyreo-mental distance. Discussion and conclusion: Preliminary results suggest the high feasibility of the technique. The next step will be the application of the same automated and objective evaluation to patients who will undergo tracheal intubation. The difficulties related to intubation will be then correlated to the biometric characteristics of the patients. The objective in mind is to analyze the biometrics data with artificial intelligence algorithms to build a highly sensitive and specific predictive test.

Estimated Target for Construction Lettings, May 17, 2011

Recognize that plans and proposals are not currently available for the following projects. The letting dates indicated are estimated target dates only and they are subject to change

Estimated Target for Construction Lettings,2011

Estimated Target for Construction Lettings,(Primary, Interstate, Local, and Institutional)