221 research outputs found

    EDUKASI KANDUNGAN ASI DAN PEMBERIAN ASI EKSKLUSIF PADA BAYI

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    Pemberian ASI eksklusif pada bayi telah dianjurkan oleh semua pihak. ASI tidak hanya dapat memenuhi kebutuhan energi bayi, tetapi juga memberikan makronutrien dan mikronutrien yang penting untuk tumbuh kembang bayi. Walaupun demikian, cakupan pemberian ASI eksklusif belum dapat dikatakan optimal. Hal tersebut dipengaruhi oleh kurangnya pengetahuan ibu mengenai kandungan nutrisi ASI dan faktor ibu yang bekerja. Pengabdian masyarakat ini bertujuan untuk memberikan edukasi kepada ibu menyusui mengenai kandungan ASI dan pemberian ASI perah (ASIP). Kegiatan dilakukan secara online melalui Zoom. Kegiatan berupa seminar atau penyuluhan dengan menghadirkan 3 topik dan 3 narasumber. Evaluasi keberhasilan kegiatan dilakukan dengan menilai suasana diskusi dan memberikan pertanyaan tertutup melalui pra dan pascates. Sebanyak 29 ibu menyusui mengikuti kegiatan ini dengan rerata usia 29 tahun dan sebagian besar bekerja (80%). Para peserta antusias memberikan pertanyaan kepada para narasumber. Hasil evaluasi pra dan pascates menunjukkan ada peningkatan pengetahuan ibu menyusui sebesar 31% (p=0,000). Kegiatan pengabdian masyarakat berupa edukasi kandungan ASI dan pemberian ASIP berhasil dilakukan dengan baik. Edukasi mampu meningkatkan pengetahuan ibu menyusui. Edukasi atau penyuluhan dapat dilakukan untuk meningkatkan pengetahuan atau pemahaman masyarakat.Abstrak ditulis dalam bahasa Indonesia dan Inggris. Kata kunci: ASI, ASIP, edukasi, nutrisi, pengetahuan ABSTRACT Exclusive breastfeeding for babies has been recommended. It fulfills the baby's energy needs and provides nutrients that are necessary for baby's growth and development. However, the coverage of exclusive breastfeeding has not yet been sufficient, that is affected by the mother’s lack of knowledge about breast milk and the mother’s occupation. This community service aims to provide education to breastfeeding mothers about the content of breast milk and expressed breast milk to the breastfeeding mothers. The activities were performed by presenting 3 experts using online Zoom. Evaluation was done by assessing the atmosphere of the discussion and establishing closed questions through pre and post-test. A total of 29 breastfeeding mothers have participated in this activity with an average age of 29 years and most of them have job (80%). The participants were actively asking questions to the speakers. The results of the pre- and post-test evaluation showed that there was an increase in knowledge of breastfeeding mothers by 31% (p=0.000). It concludes that community service in the form of education activities on the content of breast milk and breastfeeding has been successful. Education or outreach activities has been proven to increase public’s knowledge and understanding of certain topic. Keywords: breast milk, education, expressed breast milk, knowledge, nutritio

    Exploring hypotheses of the actions of TGF-beta 1 in epidermal wound healing using a 3D computational multiscale model of the human epidermis

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    In vivo and in vitro studies give a paradoxical picture of the actions of the key regulatory factor TGF-beta 1 in epidermal wound healing with it stimulating migration of keratinocytes but also inhibiting their proliferation. To try to reconcile these into an easily visualized 3D model of wound healing amenable for experimentation by cell biologists, a multiscale model of the formation of a 3D skin epithelium was established with TGF-beta 1 literature-derived rule sets and equations embedded within it. At the cellular level, an agent-based bottom-up model that focuses on individual interacting units ( keratinocytes) was used. This was based on literature-derived rules governing keratinocyte behavior and keratinocyte/ECM interactions. The selection of these rule sets is described in detail in this paper. The agent-based model was then linked with a subcellular model of TGF-beta 1 production and its action on keratinocytes simulated with a complex pathway simulator. This multiscale model can be run at a cellular level only or at a combined cellular/subcellular level. It was then initially challenged ( by wounding) to investigate the behavior of keratinocytes in wound healing at the cellular level. To investigate the possible actions of TGF-beta 1, several hypotheses were then explored by deliberately manipulating some of these rule sets at subcellular levels. This exercise readily eliminated some hypotheses and identified a sequence of spatial-temporal actions of TGF-beta 1 for normal successful wound healing in an easy-to-follow 3D model. We suggest this multiscale model offers a valuable, easy-to-visualize aid to our understanding of the actions of this key regulator in wound healing, and provides a model that can now be used to explore pathologies of wound healing

    Modelo euleriano semi-analítico para a dispersão de contaminantes na Camada Limite Planetária

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    An analytical air quality dispersion model based on a discretization of the planetary boundary layer in N sub-layers is presented. In each sub-layer the diffusion-advection equation is solved by the Laplace Transform techniques, considering an average value for the vertical exchange coefficient and the wind speed. As a consequence, the present approach allows to employ realistic semi-empirical profiles for the eddy diffusivity and wind speed, in such manner that the inhomogeneous turbulence can be handle. The model performance have been evaluated using the well-known Copenhagen and Prairie Grass datasets. Then, the application of the statistical evalution procedure (Hanna, 1989) over the out coming results has show that the proposed analytical dispersion model produces a good fitting of the observational data.Um modelo de dispersão analítico baseado na discretização da Camada Limite Planetária em N subcamadas é apresentado. Em cada subcamada a equação de difusão-adevcção é resolvida pelo emprego da transformada de Laplace, considerando um valor médio para o coeficiente de difusão e para a velocidade do vento. O presente modelo emprega perfis realísticos semi-empíricos para o coeficiente de difusão e velocidade do vento, de modo que a turbulência não homogênea pode ser utilizada. A performance do modelo é testada confrontando as simulações com os dados experimentais de Prairie Grass e Copenhagen. A aplicação de índices estatísticos (Hanna, 1989) mostra que o modelo analítico de dispersão proposto produz bons resultados

    Interplay between transglutaminases and heparan sulphate in progressive renal scarring

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    Transglutaminase-2 (TG2) is a new anti-fibrotic target for chronic kidney disease, for its role in altering the extracellular homeostatic balance leading to excessive build-up of matrix in kidney. However, there is no confirmation that TG2 is the only transglutaminase involved, neither there are strategies to control its action specifically over that of the conserved family-members. In this study, we have profiled transglutaminase isozymes in the rat subtotal nephrectomy (SNx) model of progressive renal scarring. All transglutaminases increased post-SNx peaking at loss of renal function but TG2 was the predominant enzyme. Upon SNx, extracellular TG2 deposited in the tubulointerstitium and peri-glomerulus via binding to heparan sulphate (HS) chains of proteoglycans and co-associated with syndecan-4. Extracellular TG2 was sufficient to activate transforming growth factor-β1 in tubular epithelial cells, and this process occurred in a HS-dependent way, in keeping with TG2-affinity for HS. Analysis of heparin binding of the main transglutaminases revealed that although the interaction between TG1 and HS is strong, the conformational heparin binding site of TG2 is not conserved, suggesting that TG2 has a unique interaction with HS within the family. Our data provides a rationale for a novel anti-fibrotic strategy specifically targeting the conformation-dependent TG2-epitope interacting with HS

    TGFbeta Family Members Are Key Mediators in the Induction of Myofibroblast Phenotype of Human Adipose Tissue Progenitor Cells by Macrophages

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    International audienceOBJECTIVE: The present study was undertaken to characterize the remodeling phenotype of human adipose tissue (AT) macrophages (ATM) and to analyze their paracrine effects on AT progenitor cells. RESEARCH DESIGN AND METHODS: The phenotype of ATM, immunoselected from subcutaneous (Sc) AT originating from subjects with wide range of body mass index and from paired biopsies of Sc and omental (Om) AT from obese subjects, was studied by gene expression analysis in the native and activated states. The paracrine effects of ScATM on the phenotype of human ScAT progenitor cells (CD34(+)CD31(-)) were investigated. RESULTS: Two main ATM phenotypes were distinguished based on gene expression profiles. For ScAT-derived ATM, obesity and adipocyte-derived factors favored a pro-fibrotic/remodeling phenotype whereas the OmAT location and hypoxic culture conditions favored a pro-angiogenic phenotype. Treatment of native human ScAT progenitor cells with ScATM-conditioned media induced the appearance of myofibroblast-like cells as shown by expression of both α-SMA and the transcription factor SNAIL, an effect mimicked by TGFβ1 and activinA. Immunohistochemical analyses showed the presence of double positive α-SMA and CD34 cells in the stroma of human ScAT. Moreover, the mRNA levels of SNAIL and SLUG in ScAT progenitor cells were higher in obese compared with lean subjects. CONCLUSIONS: Human ATM exhibit distinct pro-angiogenic and matrix remodeling/fibrotic phenotypes according to the adiposity and the location of AT, that may be related to AT microenvironment including hypoxia and adipokines. Moreover, human ScAT progenitor cells have been identified as target cells for ScATM-derived TGFβ and as a potential source of fibrosis through their induction of myofibroblast-like cells

    Dynamic Regulation of Tgf-B Signaling by Tif1γ: A Computational Approach

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    TIF1γ (Transcriptional Intermediary Factor 1 γ) has been implicated in Smad-dependent signaling by Transforming Growth Factor beta (TGF-β). Paradoxically, TIF1γ functions both as a transcriptional repressor or as an alternative transcription factor that promotes TGF-β signaling. Using ordinary differential-equation models, we have investigated the effect of TIF1γ on the dynamics of TGF-β signaling. An integrative model that includes the formation of transient TIF1γ-Smad2-Smad4 ternary complexes is the only one that can account for TGF-β signaling compatible with the different observations reported for TIF1γ. In addition, our model predicts that varying TIF1γ/Smad4 ratios play a critical role in the modulation of the transcriptional signal induced by TGF-β, especially for short stimulation times that mediate higher threshold responses. Chromatin immunoprecipitation analyses and quantification of the expression of TGF-β target genes as a function TIF1γ/Smad4 ratios fully validate this hypothesis. Our integrative model, which successfully unifies the seemingly opposite roles of TIF1γ, also reveals how changing TIF1γ/Smad4 ratios affect the cellular response to stimulation by TGF-β, accounting for a highly graded determination of cell fate

    Tissue level, activation and cellular localisation of TGF-β1 and association with survival in gastric cancer patients

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    Transforming growth factor-β1 (TGF-β1), a tumour suppressing as well as tumour-promoting cytokine, is stored as an extracellular matrix-bound latent complex. We examined TGF-β1 activation and localisation of TGF-β1 activity in gastric cancer. Gastric tumours showed increased stromal and epithelial total TGF-β1 staining by immunohistochemistry. Active TGF-β1 was present in malignant epithelial cells, but most strongly in smooth muscle actin expressing fibroblasts. Normal gastric mucosa from the same patient showed some staining for total, and little for active TGF-β1. Active TGF-β1 levels were determined by ELISA on tissue homogenates, confirming a strong increase in active TGF-β1 in tumours compared to corresponding normal mucosa. Moreover, high tumour TGF-β1 activity levels were significantly associated with clinical parameters, including worse survival of the patients. Total and active TGF-β1 levels were not correlated, suggesting a specific activation process. Of the different proteases tested, active TGF-β1 levels were only correlated with urokinase activity levels. The correlation with urokinase activity suggests a role for plasmin in TGF-β1 activation in the tumour microenvironment, resulting in transformation of resident fibroblasts to tumour promoting myofibroblasts. In conclusion we have shown localisation and clinical relevance of TGF-β1 activity levels in gastric cancer

    Development of a Three Dimensional Multiscale Computational Model of the Human Epidermis

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    Transforming Growth Factor (TGF-β1) is a member of the TGF-beta superfamily ligand-receptor network. and plays a crucial role in tissue regeneration. The extensive in vitro and in vivo experimental literature describing its actions nevertheless describe an apparent paradox in that during re-epithelialisation it acts as proliferation inhibitor for keratinocytes. The majority of biological models focus on certain aspects of TGF-β1 behaviour and no one model provides a comprehensive story of this regulatory factor's action. Accordingly our aim was to develop a computational model to act as a complementary approach to improve our understanding of TGF-β1. In our previous study, an agent-based model of keratinocyte colony formation in 2D culture was developed. In this study this model was extensively developed into a three dimensional multiscale model of the human epidermis which is comprised of three interacting and integrated layers: (1) an agent-based model which captures the biological rules governing the cells in the human epidermis at the cellular level and includes the rules for injury induced emergent behaviours, (2) a COmplex PAthway SImulator (COPASI) model which simulates the expression and signalling of TGF-β1 at the sub-cellular level and (3) a mechanical layer embodied by a numerical physical solver responsible for resolving the forces exerted between cells at the multi-cellular level. The integrated model was initially validated by using it to grow a piece of virtual epidermis in 3D and comparing the in virtuo simulations of keratinocyte behaviour and of TGF-β1 signalling with the extensive research literature describing this key regulatory protein. This research reinforces the idea that computational modelling can be an effective additional tool to aid our understanding of complex systems. In the accompanying paper the model is used to explore hypotheses of the functions of TGF-β1 at the cellular and subcellular level on different keratinocyte populations during epidermal wound healing
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