Surface-Patterned DNA Origami Rulers Reveal Nanoscale Distance Dependency of the Epidermal Growth Factor Receptor Activation.

The nanoscale arrangement of ligands can have a major effect on the activation of membrane receptor proteins and thus cellular communication mechanisms. Here we report on the technological development and use of tailored DNA origami-based molecular rulers to fabricate "Multiscale Origami Structures As Interface for Cells" (MOSAIC), to enable the systematic investigation of the effect of the nanoscale spacing of epidermal growth factor (EGF) ligands on the activation of the EGF receptor (EGFR). MOSAIC-based analyses revealed that EGF distances of about 30-40 nm led to the highest response in EGFR activation of adherent MCF7 and Hela cells. Our study emphasizes the significance of DNA-based platforms for the detailed investigation of the molecular mechanisms of cellular signaling cascades.

Economic optimization of expression of soluble human epidermal growth factor in Escherichia coli.

Human epidermal growth factor (hEGF) has multiple biological functions, such as promoting cell proliferation, differentiation, and migration. In addition, it is a very expensive polypeptide with attractive market prospects. However, the production of hEGF needs for high cost to manufacture polypeptide demands reinvestigations of process conditions so as to enhance economic benefits. Improving the expression of soluble hEGF is the fundamental method to reduce the cost. In this study, a non-extracellular engineered strain of expressed hEGF was constructed, using plasmid pET-22b(+) in Escherichia coli. Preliminary fermentation and high cell density cultivation were carried out in shake flasks and in a 5 L bioreactor, respectively. A high yield of 98 ± 10 mg/L of soluble hEGF and a dry cell weight (DCW) of 6.98 ± 0.3 g/L were achieved in shake flasks. Then, fermentation conditions were optimized for large-scale production, while taking into consideration the expensive equipment required for cooling and conforming to industrial standards. A yield of 285 ± 10 mg/L of soluble hEGF, a final cell density of 57.4 ± 2 g/L DCW (OD600 141.1 ± 4.9), and hEGF productivity of 14.3 mg/L/h were obtained using a bioreactor at 32 °C for 20 h. The production method developed in this study for the biosynthesis of soluble hEGF is efficient and inexpensive.

Dimerization Assessment of Epithelial Growth Factor Family of Receptor Tyrosine Kinases by Using Cross-Linking Reagent.

Dimerization of the epithelial growth factor (EGF) family of receptor tyrosine kinases is a crucial step for activation of these receptors. Different chemicals such as BS3 and DSS have been introduced to covalently bind the interacting receptors and fix the dimers. Unique properties of BS3 including higher water solubility and membrane impermeability make it suitable for assessing receptor-receptor interactions in live cells. In this protocol, we aim to explain a method to evaluate the dimerization of EGF receptors family using BS3 as a cross-linker reagent.

Computational Model of Secondary Palate Fusion and Disruption.

Morphogenetic events are driven by cell-generated physical forces and complex cellular dynamics. To improve our capacity to predict developmental effects from chemical-induced cellular alterations, we built a multicellular agent-based model in CompuCell3D that recapitulates the cellular networks and collective cell behavior underlying growth and fusion of the mammalian secondary palate. The model incorporated multiple signaling pathways (TGFß, BMP, FGF, EGF, and SHH) in a biological framework to recapitulate morphogenetic events from palatal outgrowth through midline fusion. It effectively simulated higher-level phenotypes (e.g., midline contact, medial edge seam (MES) breakdown, mesenchymal confluence, and fusion defects) in response to genetic or environmental perturbations. Perturbation analysis of various control features revealed model functionality with respect to cell signaling systems and feedback loops for growth and fusion, diverse individual cell behaviors and collective cellular behavior leading to physical contact and midline fusion, and quantitative analysis of the TGF/EGF switch that controls MES breakdown-a key event in morphogenetic fusion. The virtual palate model was then executed with theoretical chemical perturbation scenarios to simulate switch behavior leading to a disruption of fusion following chronic (e.g., dioxin) and acute (e.g., retinoic acid) chemical exposures. This computer model adds to similar systems models toward an integrative "virtual embryo" for simulation and quantitative prediction of adverse developmental outcomes following genetic perturbation and/or environmental disruption.

Assessment of different 3D culture systems to study tumor phenotype and chemosensitivity in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant disease with a very poor prognosis, due to the influence of the tumor stroma, which promotes tumor growth, early invasion and chemoradiation resistance. Efforts to develop models for identifying novel anticancer therapeutic compounds have been hampered by the limited ability of in vitro models to mimic these in vivo tumor-stroma interactions. This has led to the development of various three-dimensional (3D) culture platforms recapitulating the in vivo tumor-stroma crosstalk and designed to better understand basic cancer processes and screen drug action. However, a consensus for different experimental 3D platforms is still missing in PDAC. We compared four PDAC cell lines of different malignancy grown in 2D monolayers to three of the more commonly used 3D techniques (ultralow adhesion concave microwells, Matrigel inclusion and organotypic systems) and to tumors derived from their orthotopic implantation in mice. In these 3D platforms, we observed that cells grow with very different tumor morphologies and the organotypic setting most closely resembles the tumor cytoarchitecture obtained by orthotopically implanting the four cell lines in mice. We then analyzed the molecular and cellular responses of one of these cell lines to epidermal growth factor receptor (EGFR) stimulation with EGF and inhibition with erlotinib and found that only in the 3D platforms, and especially the organotypic, cells: i) responded to EGF by changing the expression of signalling components underlying cell-stroma crosstalk and tissue architecture, growth, invasion and drug resistance (E-cadherin, EGFR, ezrin, ß1 integrin, NHERF1 and HIF-1α) similar to those reported in vivo; ii) had stimulated growth and increased erlotinib sensitivity in response to EGF, more faithfully mimicking their known in vivo behaviour. Altogether, these results, indicate the organotypic as the most relevant physiological 3D system to study the complex tumor stroma interactions driving progression and determining chemio-resistance.

Configurable low-cost plotter device for fabrication of multi-color sub-cellular scale microarrays.

The construction and operation of a low-cost plotter for fabrication of microarrays for multiplexed single-cell analyses is reported. The printing head consists of polymeric pyramidal pens mounted on a rotation stage installed on an aluminium frame. This construction enables printing of microarrays onto glass substrates mounted on a tilt stage, controlled by a Lab-View operated user interface. The plotter can be assembled by typical academic workshops from components of less than 15,000 Euro. The functionality of the instrument is demonstrated by printing DNA microarrays on the area of 0.5 cm2 using up to three different oligonucleotides. Typical feature sizes are 5 µm diameter with a pitch of 15 µm, leading to densities of up to 10(4)-10(5) spots/mm2. The fabricated DNA microarrays are used to produce sub-cellular scale arrays of bioactive epidermal growth factor peptides by means of DNA-directed immobilization. The suitability of these biochips for cell biological studies is demonstrated by specific recruitment, concentration, and activation of EGF receptors within the plasma membrane of adherent living cells. This work illustrates that the presented plotter gives access to bio-functionalized arrays usable for fundamental research in cell biology, such as the manipulation of signal pathways in living cells at subcellular resolution.

Photoresists as a high spatial resolution autoradiography substrate for quantitative mapping of intra- and sub-cellular distribution of Auger electron emitting radionuclides.

PURPOSE: To explore poly(methyl methacrylate) (PMMA950) as an autoradiography substrate. MATERIALS AND METHODS: PMMA950 was spin coated onto a silicon substrate. Resists were exposed to either a 25 or 50 keV electron beam (e-beam) with fluences of 0.1-33.6 µC/cm(2). The resulting patterns were analyzed by atomic force microscopy (AFM). The dependence of pattern sensitivity and resolution on resist thickness, development time and electron energy was evaluated and correlated with Monte Carlo (MC) modeling. Conventional micro-autoradiography (MAR) images were compared to AFM images of photoresist patterns obtained following exposure from (111)In-diethylenetriaminepentaacetic acid (DTPA)-human epidermal growth factor (hEGF) (4-6 MBq/µg, 40 nM DTPA-hEGF)-treated human breast cancer cells MDA-MB-468. RESULTS: MC simulation results confirmed the similarity of particle transport in PMMA950 exposed to either an (111)In point source or a 25 keV e-beam. Sensitivity was inversely related to resist thickness. Development conditions of the resists greatly affected image quality. Sensitivity of PMMA950 was similar to the UVIII™ resist (consisting of a copolymer of 4-hydroxystyrene and t- butylacrylate) at low electron fluence for both 25 and 50 keV e-beam exposure. AFM evaluation of the exposure patterns from (111)In-DTPA-hEGF treated cells and nuclei provides more detailed information in comparison with that from MAR. CONCLUSIONS: Photoresist autoradiography can provide information on both the distribution of radiation sources and their strengths within a biological sample; however, the choice of photoresist material and processing conditions greatly affects the outcome.

Approximate probabilistic analysis of biopathway dynamics.

MOTIVATION: Biopathways are often modeled as systems of ordinary differential equations (ODEs). Such systems will usually have many unknown parameters and hence will be difficult to calibrate. Since the data available for calibration will have limited precision, an approximate representation of the ODEs dynamics should suffice. One must, however, be able to efficiently construct such approximations for large models and perform model calibration and subsequent analysis. RESULTS: We present a graphical processing unit (GPU) based scheme by which a system of ODEs is approximated as a dynamic Bayesian network (DBN). We then construct a model checking procedure for DBNs based on a simple probabilistic linear time temporal logic. The GPU implementation considerably extends the reach of our previous PC-cluster-based implementation (Liu et al., 2011b). Further, the key components of our algorithm can serve as the GPU kernel for other Monte Carlo simulations-based analysis of biopathway dynamics. Similarly, our model checking framework is a generic one and can be applied in other systems biology settings. We have tested our methods on three ODE models of bio-pathways: the epidermal growth factor-nerve growth factor pathway, the segmentation clock network and the MLC-phosphorylation pathway models. The GPU implementation shows significant gains in performance and scalability whereas the model checking framework turns out to be convenient and efficient for specifying and verifying interesting pathways properties. AVAILABILITY: The source code is freely available at http://www.comp.nus.edu.sg/~rpsysbio/pada-gpu/

Prediction in the face of uncertainty: a Monte Carlo-based approach for systems biology of cancer treatment.

Cancer is known to be a complex disease and its therapy is difficult. Much information is available on molecules and pathways involved in cancer onset and progression and this data provides a valuable resource for the development of predictive computer models that can help to identify new potential drug targets or to improve therapies. Modeling cancer treatment has to take into account many cellular pathways usually leading to the construction of large mathematical models. The development of such models is complicated by the fact that relevant parameters are either completely unknown, or can at best be measured under highly artificial conditions. Here we propose an approach for constructing predictive models of such complex biological networks in the absence of accurate knowledge on parameter values, and apply this strategy to predict the effects of perturbations induced by anti-cancer drug target inhibitions on an epidermal growth factor (EGF) signaling network. The strategy is based on a Monte Carlo approach, in which the kinetic parameters are repeatedly sampled from specific probability distributions and used for multiple parallel simulations. Simulation results from different forms of the model (e.g., a model that expresses a certain mutation or mutation pattern or the treatment by a certain drug or drug combination) can be compared with the unperturbed control model and used for the prediction of the perturbation effects. This framework opens the way to experiment with complex biological networks in the computer, likely to save costs in drug development and to improve patient therapy.

Controlling multipotent stromal cell migration by integrating "course-graining" materials and "fine-tuning" small molecules via decision tree signal-response modeling.

Biomimetic scaffolds have been proposed as a means to facilitate tissue regeneration by multi-potent stromal cells (MSCs). Effective scaffold colonization requires a control of multiple MSC responses including survival, proliferation, differentiation, and migration. As MSC migration is relatively unstudied in this context, we present here a multi-level approach to its understanding and control, integratively tuning cell speed and directional persistence to achieve maximal mean free path (MFP) of migration. This approach employs data-driven computational modeling to ascertain small molecule drug treatments that can enhance MFP on a given materials substratum. Using poly(methyl methacrylate)-graft-poly(ethylene oxide) polymer surfaces tethered with epidermal growth factor (tEGF) and systematically adsorbed with fibronectin, vitronectin, or collagen-I to present hTERT-immortalized human MSCs with growth factor and extracellular matrix cues, we measured cell motility properties along with signaling activities of EGFR, ERK, Akt, and FAK on 19 different substrate conditions. Speed was consistent on collagen/tEGF substrates, but low associated directional persistence limited MFP. Decision tree modeling successfully predicted that ERK inhibition should enhance MFP on collagen/tEGF substrates by increasing persistence. Thus, we demonstrated a two-tiered approach to control MSC migration: materials-based "coarse-graining" complemented by small molecule "fine-tuning".

Initial assessment, surveillance, and management of blood pressure in patients receiving vascular endothelial growth factor signaling pathway inhibitors.

Hypertension is a mechanism-based toxic effect of drugs that inhibit the vascular endothelial growth factor signaling pathway (VSP). Substantial evidence exists for managing hypertension as a chronic condition, but there are few prospectively collected data on managing acute hypertension caused by VSP inhibitors. The Investigational Drug Steering Committee of the National Cancer Institute convened an interdisciplinary cardiovascular toxicities expert panel to evaluate this problem, to make recommendations to the Cancer Therapy Evaluation Program on further study, and to structure an approach for safe management by treating physicians. The panel reviewed: the published literature on blood pressure (BP), hypertension, and specific VSP inhibitors; abstracts from major meetings; shared experience with the development of VSP inhibitors; and established principles of hypertension care. The panel generated a consensus report including the recommendations on clinical concerns summarized here. To support the greatest possible number of patients to receive VSP inhibitors safely and effectively, the panel had four recommendations: 1) conduct and document a formal risk assessment for potential cardiovascular complications, 2) recognize that preexisting hypertension will be common in cancer patients and should be identified and addressed before initiation of VSP inhibitor therapy, 3) actively monitor BP throughout treatment with more frequent assessments during the first cycle of treatment, and 4) manage BP with a goal of less than 140/90 mmHg for most patients (and to lower, prespecified goals in patients with specific preexisting cardiovascular risk factors). Proper agent selection, dosing, and scheduling of follow-up should enable maintaining VSP inhibition while avoiding the complications associated with excessive or prolonged elevation in BP.

Duplexed on-microbead binding assay for competitive inhibitor of epidermal growth factor receptor by quantitative flow cytometry.

Upon binding agonist, the epidermal growth factor receptor (EGFR) is dimerized and auto-phosphorylated to activate downstream pathway that induces diverse physiology and pathology processes. Conventional methods for evaluation of EGFR inhibitors are limited. This study describes a duplexed on-microbead binding assay allowing competitive EGFR inhibitors to be quantificationally evaluated in vitro. Polystyrene microbeads barcoded by fluoresceine isothiocyanate fluorescence as high brightness and low brightness microspheres were coated with receptor tyrosine kinase (RTK) ligand-epidermal growth factor (EGF)/stem cell factor (SCF) and ATP/GTP, respectively. High and low brightness microbeads were mixed and incubated with EGFR and its competitive inhibitor in binding assay buffer. Phycoerythrin (PE) fluorescence-labelled antibody was employed to report the level of EGFR binding to EGF/SCF and ATP/GTP. Values were numbered via PE molecules assessed by quantitative flow cytometry. Results from this study demonstrated that incubation with EGFR identified by PE-labelled antibody can make EGF- and ATP-coated microbeads luminous. And EGF or ATP-competitive EGFR inhibitors, respectively, alleviated this in a concentration-dependent manner. Coating microbeads with SCF or GTP as a negative control cannot capture EGFR. The duplexed on-microbead binding assay in this study might be useful for discovering ligand- and ATP-competitive EGFR inhibitors in a rapid and quantificational approach.

Cellular dosimetry of (111)In using monte carlo N-particle computer code: comparison with analytic methods and correlation with in vitro cytotoxicity.

UNLABELLED: Our objective was to compare Monte Carlo N-particle (MCNP) self- and cross-doses from (111)In to the nucleus of breast cancer cells with doses calculated by reported analytic methods (Goddu et al. and Farragi et al.). A further objective was to determine whether the MCNP-predicted surviving fraction (SF) of breast cancer cells exposed in vitro to (111)In-labeled diethylenetriaminepentaacetic acid human epidermal growth factor ((111)In-DTPA-hEGF) could accurately predict the experimentally determined values. METHODS: MCNP was used to simulate the transport of electrons emitted by (111)In from the cell surface, cytoplasm, or nucleus. The doses to the nucleus per decay (S values) were calculated for single cells, closely packed monolayer cells, or cell clusters. The cell and nucleus dimensions of 6 breast cancer cell lines were measured, and cell line-specific S values were calculated. RESULTS: For self-doses, MCNP S values of nucleus to nucleus agreed very well with those of Goddu et al. (ratio of S values using analytic methods vs. MCNP = 0.962-0.995) and Faraggi et al. (ratio = 1.011-1.024). MCNP S values of cytoplasm and cell surface to nucleus compared fairly well with the reported values (ratio = 0.662-1.534 for Goddu et al.; 0.944-1.129 for Faraggi et al.). For cross doses, the S values to the nucleus were independent of (111)In subcellular distribution but increased with cluster size. S values for monolayer cells were significantly different from those of single cells and cell clusters. The MCNP-predicted SF for monolayer MDA-MB-468, MDA-MB-231, and MCF-7 cells agreed with the experimental data (relative error of 3.1%, -1.0%, and 1.7%). The single-cell and cell cluster models were less accurate in predicting the SF. For MDA-MB-468 cells, relative error was 8.1% using the single-cell model and -54% to -67% using the cell cluster model. Individual cell-line dimensions had large effects on S values and were needed to estimate doses and SF accurately. CONCLUSION: MCNP simulation compared well with the reported analytic methods in the calculation of subcellular S values for single cells and cell clusters. Application of a monolayer model was most accurate in predicting the SF of breast cancer cells exposed in vitro to (111)In-DTPA-hEGF.

Quantitative assessment of the kinetics of growth factors release from platelet gel.

BACKGROUND: The time course of the release of growth factors from platelet (PLT) gels has not been thoroughly studied and should be elucidated for a better standardization of the clinical use of these products. STUDY DESIGN AND METHODS: Release of PLT-derived growth factor-AB (PDGF-AB), transforming growth factor-beta1 (TGF-beta1), epidermal growth factor (EGF), vascular endothelial growth factor (VEGF), and insulin-like growth factor-1 (IGF-1) was determined 5, 60, 120, and 300 minutes after PLT gel formation. Control experiments where PLT gel was removed and, afterward, exogenous thrombin was added, were also performed. Protein profiles of the PLT concentrates and of the releasates were determined by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). RESULTS: Mean PDGF-AB, TGF-beta1, EGF, and VEGF concentration increased to 76, 114, 3.7, and 0.8 ng per mL, respectively, in the presence of the PLT gel, but remained at approximately 28, 30, 0.28, and 0.34 ng per mL, respectively, when the PLT gel was removed after formation. IGF-1 content remained unchanged (approx. 80 ng/mL). SDS-PAGE analysis showed that several PLT proteins disappear during PLT gel formation and that the protein patterns of the releasates were undistinguishable at the different time points. CONCLUSION: There is a gradual and fast release of PDGF-AB, TGF-beta1, EGF, and VEGF from PLT gel for at least 60 to 300 minutes after gel formation, whereas the IGF releasate concentration remains unchanged. This study may provide useful information to improve clinical applications of PLT gels and to design improved blood-derived biomaterials with controlled release of growth factors.

Assessment of stromal keratocytes and tear film inflammatory mediators during extended wear of contact lenses.

PURPOSE: To monitor quantitative changes in stromal keratocyte density and the level of tear film inflammatory mediators following extended contact lens wear. METHODS: Twenty-two subjects aged 32 +/- 11 years participated in this cross-sectional study. Eleven subjects had worn silicone hydrogel (Si-H) lenses on a 30-day continuous wear basis for 12 months. Eleven subjects had worn rigid gas permeable lenses on the same basis for 12 months. Eleven age-matched control subjects were also recruited. Ultrasound pachometry, confocal microscopy, and tear fluid sample collection were performed on all subjects. Tear samples were assayed for epidermal growth factor (EGF), hepatocyte growth factor (HGF) and interleukin (IL)-8. RESULTS: Corneal thickness was similar for all subject groups. Total keratocyte density was not different between the 3 groups; however, keratocyte density was lower for rigid lens wearers in the anterior to mid stroma and lower for Si-H lens wearers in the posterior stroma compared with control subjects. Rigid lens wearers exhibited an irregular keratocyte distribution across the corneal stroma. EGF concentration and rate of release was greater in the tears collected from the rigid lens wearers and Si-H lens wearers, and IL-8 concentration was higher in the samples collected from the rigid lens wearers compared with the samples collected from the control subjects. CONCLUSIONS: Mechanical stimulation of the corneal surface due to the physical presence of a contact lens and the consequent release of inflammatory mediators may account for a loss or redistribution of keratocytes.

Computational modeling reveals molecular details of epidermal growth factor binding.

BACKGROUND: The ErbB family of receptors are dysregulated in a number of cancers, and the signaling pathway of this receptor family is a critical target for several anti-cancer drugs. Therefore a detailed understanding of the mechanisms of receptor activation is critical. However, despite a plethora of biochemical studies and recent single particle tracking experiments, the early molecular mechanisms involving epidermal growth factor (EGF) binding and EGF receptor (EGFR) dimerization are not as well understood. Herein, we describe a spatially distributed Monte Carlo based simulation framework to enable the simulation of in vivo receptor diffusion and dimerization. RESULTS: Our simulation results are in agreement with the data from single particle tracking and biochemical experiments on EGFR. Furthermore, the simulations reveal that the sequence of receptor-receptor and ligand-receptor reaction events depends on the ligand concentration, receptor density and receptor mobility. CONCLUSION: Our computer simulations reveal the mechanism of EGF binding on EGFR. Overall, we show that spatial simulation of receptor dynamics can be used to gain a mechanistic understanding of receptor activation which may in turn enable improved cancer treatments in the future.

Evaluation of division-arrested cells for cell-based high-throughput screening and profiling.

Just-in-time cell supply for cell-based high-throughput screening (HTS) is frequently problematic. In addition to scheduling and logistical issues, quality issues and variability due to passage effect, cell cycle, or confluency contribute to day-to-day signal variability in the course of cell-based HTS campaigns. Cell division-arrest and cryopreservation technologies permit the use of cells as assay-ready reagents for HTS and other cell-based profiling and structure-activity studies. In this report, the authors compare division-arrested and dividing cells in 2 assay types that are dependent on movement of proteins within or through cell membranes: a receptor tyrosine kinase assay involving A431 cells responsive to epidermal growth factor, and a secretion reporter assay, which measures secretion of a reporter gene, secreted alkaline phosphatase. In both assays, dividing and division-arrested cells yielded similar basal and maximal signals at a given cell density. Similar IC50s were obtained for reference inhibitors in each assay, type in both dividing and division-arrested cells. In addition, for the secretion reporter assay, when comparing IC50s obtained from 44 compounds randomly chosen from a primary screening hit list, the rank order of potency obtained from dividing cells and division-arrested cells was essentially identical. Furthermore, the results show that, under certain assay conditions, data generated using division-arrested cells are less variable than those generated using dividing cells. In summary, the results suggest that, in many cases, division-arrested cells can substitute for dividing cells and offer certain advantages for cell-based assays.

In vivo assessment of the regulation of transforming growth factor alpha, epidermal growth factor (EGF), and EGF receptor in the human endometrium by medroxyprogesterone acetate.

PURPOSE: The present study evaluated the in vivo effect of medroxyprogesterone acetate (MPA) on the localization of immunoreactive transforming growth factor alpha (TGFalpha), epidermal growth factor (EGF), and their common receptor (EGF-R) in the human endometrium. METHODS: The study design was a randomized clinical trial enrolling 36 healthy women with regular menstrual cycles. The participants were randomly assigned into three groups: groups 1 (n = 11) and 2 (n = 17) received placebo and were submitted to endometrial biopsy during the proliferative and secretory phases of menstrual cycle, respectively; group 3 (n = 8) received MPA (10 mg/day) for 10 days followed by endometrial biopsy, which was performed during the secretory phase. Immunohistochemistry was used to localize TGFalpha, EGF, and EGF-R in the endometrial tissue. RESULTS: TGFalpha was present markedly in the luminal and glandular epithelia but also in the periglandular stroma, with a distribution pattern similar in the three experimental groups. EGF immunostaing was equally distributed in epithelial and stromal layers of the endometrium and remained unchanged in endometrial samples from women treated with MPA compared to placebo. EGF-R was expressed only in the epithelium. The intensity of EGF-R immunostaining was higher in secretory than in proliferative endometrium and was further increased by administration of MPA (p < 0.05, chi-square test). CONCLUSION: The present results suggest that the progestogen-induced in vivo differentiation of secretory endometrium does not require dramatic changes in the expression of EGF or TGFalpha, whereas EGF-R may be up regulated.

Assessment of etiologic agents in acne pathogenesis.

Acne is a chronic inflammatory disease of the pilosebaceous units. Traditional etiologic factors include increased sebum production, ductal hyperkeratosis, abnormality of the microbial flora within the pilosebaceous unit, and mediators of inflammation. Recent developments do not refute these familial elements, but rather refine particular aspects. Interleukin-1a influences hypercornification of the infundibulum as well as the inflammatory response by inducing the production of vascular endothelial growth factor in dermal papilla cells and follicular keratinocytes of the pilosebaceous unit. New retinoids have been developed based on controlling cellular proliferation and differentiation in the pilosebaceous unit by their action on nuclear receptors of cells. Dermal inflammation is not due to presence of bacteria, but from biologically active mediators produced by Propionibacterium acnes. The environment within the pilosebaceous unit is probably more important than the absolute number of P. acnes organisms. Indeed, the major role of the sebaceous gland appears to be supplying P. acnes needed nutrients. Moreover, the microbiologic principle of biofilms appears to be applicable to P. acnes in acne.