Reshaping commensal gut microbiota in early life with amoxicillin presents with lower blood pressure
Contributors: Saroj Chakraborty
... Pediatric hypertension is recognized as an emerging global health concern. While new guidelines are developed for facilitating clinical management, the reasons for the prevalence of hypertension in children remain unknown. Genetics and environmental factors do not fully account for the growing incidence of pediatric hypertension. Because stable bacterial flora in early life are linked with health outcomes later in life, we hypothesized that reshaping of gut microbiota in early developmental stages of life affects blood pressure (BP) of pediatric subjects. To test this hypothesis, we administered amoxicillin, the most commonly prescribed pediatric antibiotic, to alter gut microbiota of young, genetically hypertensive rats (study 1) and dams during gestation and lactation to reshape microbiota of offspring (study 2). Reshaping of microbiota, with reductions in Firmicutes/Bacteriodetes ratio observed in Amoxicillin treated young rats and in dams. Amoxicillin treated rats also had lower blood pressure compared to the untreated rats. In the young rats treated with amoxicillin, the lowering effect on blood pressure persisted even after the antibiotics were discontinued. Similarly, the offspring from the dams treated with amoxicillin also showed lower systolic blood pressure compared to the control rats. Remarkably, in all cases, a decrease in BP was associated with lowering of Veillonellaceae, which are succinate-producing bacteria. Elevated plasma succinate is reported in hypertension. Accordingly, serum succinate was measured and found lower in animals treated with amoxicillin. Our results demonstrate a direct correlation between succinate-producing gut microbiota and early development of hypertension, and indicate that reshaping gut microbiota, especially by depleting succinate-producing microbiota early in life may have long-term benefits for hypertension-prone individuals.
Contributors: Laisuo Su
... The data here includes necessary information for the MWR-assisted surface engineering project we worked on.
Contributors: ALEN THOMAS
... The data includes the EBSD characterizations of cold rolled samples, Permeation curves from the hydrogen permeation experiment and the EDS charcterizations after the Microprint experiment
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Data for: Jiadifenolide induces expression of cellular communication network factor (CCN) genes, and CCN2 possesses neurotrophic activity in neuronal precursor cells derived from human induced pluripotent stem cells
Contributors: Takashi Kuzuhara
... Jiadifenolide induces expression of cellular communication network factor (CCN) genes, and CCN2 possesses neurotrophic activity in neuronal precursor cells derived from human induced pluripotent stem cells Jiadifenolide has been reported to have neurotrophin-like activity in primary rat cortical neurons, and also possesses neurotrophic effects in neuronal precursor cells derived from human induced pluripotent stem cells (hiPSCs), as we have previously reported. However, the molecular mechanisms by which jiadifenolide exerts its neurotrophic effects in rat and human neurons are unknown. Thus, we aimed to investigate the molecular mechanisms and pathways by which jiadifenolide promotes neurotrophic effects. Here, we found that jiadifenolide activated cellular communication network factor (CCN) signaling pathways by up-regulating mRNA level expression of CCN genes in human neuronal cells. We also found that CCN2 (also known as connective tissue growth factor, CTGF) protein promotes neurotrophic effects through activation of the p44/42 mitogen-activated protein kinase (MAPK) signaling pathway. This is the first discovery which connects neurotrophic effects with CCN signaling.
A new method for analyzing sustainability performance of global supply chains and its application to material resources
Contributors: Livia Cabernard, Stephan Pfister, Stefanie Hellweg
... VERSION 2 Compared to version 1, version 2 runs without matlab. The file “Instructions.pdf” attached below explains how to install and use this application. The file “Explanation_method_examples.pptx” attached below illustrates the principle of the method and how to use the application with several examples. OVERALL DESCRIPTION (same as for version 1): We share here the data compiled to calculate the results presented in the study «A new method for analyzing sustainability performance of global supply chains and its application to material resources». In order to allow for the compilation of all results of interest, we provide an application. This application is based on the multi-regional-input output database EXIOBASE3 (version 3.4) and data to assess the potential environmental impacts of emissions and resource use. While the data for assessing the environmental impacts is provided here, the user must download the Exiobase data from the Exiobase website (due to copyright issues). The provided application allows to assess the cumulated upstream impacts of any sector or region on the globe without double-counting and to track these impacts upstream and downstream the global value chain. The application covers a broad set of environmental and socio-economic indicators and the timespan from 1995 to 2011. The methodology of this application is comprehensively explained in the study: «A new method for analyzing sustainability performance of global supply chains and its application to material resources» (e.g Section 2.1 gives a broad overview of the principle of the method). Link to the study: https://doi.org/10.1016/j.scitotenv.2019.04.434
Regional heterogeneity in gene expression, regulation and coherence in hippocampus and prefrontal cortex across development and in schizophrenia. Collado-Torres et al, Neuron, 2019.
Contributors: Leonardo Collado-Torres, Emily E Burke, Amy Peterson, Joo Heon Shin, Richard E Straub, Nina Rajpurohit, Stephen A Semick, William S Ulrich, BrainSeq Consortium, Amanda J Price
... This dataset contains the Supplementary Figures and Tables for the "Regional heterogeneity in gene expression, regulation and coherence in hippocampus and prefrontal cortex across development and in schizophrenia" article by Collado-Torres et al, Neuron, 2019. Please cite the original article as well as the data itself if appropriate. For clarifications about the figures or data, please contact us by creating an issue at https://github.com/LieberInstitute/brainseq_phase2/issues. Thank you!
Contributors: Petter Ström, Per Petersson, Anna Widdowson, Gennady Sergienko, Elżbieta Fortuna-Zaleśna, Marek Rubel
... ToF-ERDA data with partial GIC energy signals from QMB covers 1,2,3,5 (ILW-1-2). Data provided as list-files (.lst) and histogram files (.mpa) from FAST MPA-3 data acquisition system. ADC 1: Energy signal anode 1. ADC 2: Energy signal anodes 2-4. ADC 3: ToF signal.
Contributors: Philipp Keller
... Guide's software and data repository- compact version
Contributors: Philipp Keller
... Guide's software and data repository- full version
Contributors: Gabriel Fiorin, Andrea Sanchez-Vallet , Daniela Thomazella, Paula Prado, Leandro Nascimento, Antonio Figueira, Bart Thomma, Goncalo Pereira, Paulo Jose Teixeira
... Source data of the paper "Suppression of plant immunity by fungal chitinase-like effectors".