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Organismal adaptations to spaceflight have been characterized at the molecular level in model organisms, including Drosophila and C. elegans. Here, we extend molecular work to energy metabolism and sex hormone signaling in mice and humans. We found spaceflight induced changes in insulin and estrogen signaling in rodents and humans. Murine changes were most prominent in the liver, where we observed inhibition of insulin and estrogen receptor signaling with concomitant hepatic insulin resistance and steatosis. Based on the metabolic demand, metabolic pathways mediated by insulin and estrogen vary among muscles, specifically between the soleus and extensor digitorum longus. In humans, spaceflight induced changes in insulin and estrogen related genes and pathways. Pathway analysis demonstrated spaceflight induced changes in insulin resistance, estrogen signaling, stress response, and viral infection. These data strongly suggest the need for further research on the metabolic and reproductive endocrinologic effects of space travel, if we are to become a successful interplanetary species.
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Estrógenos , Insulina , Vuelo Espacial , Animales , Insulina/metabolismo , Estrógenos/metabolismo , Humanos , Ratones , Masculino , Femenino , Transcriptoma , Transducción de Señal , Ratones Endogámicos C57BL , Metabolismo Energético/genética , Resistencia a la Insulina/genética , Hígado/metabolismo , Adulto , Regulación de la Expresión GénicaRESUMEN
There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Here we present iLINCS ( http://ilincs.org ), an integrative web-based platform for analysis of omics data and signatures of cellular perturbations. The platform facilitates mining and re-analysis of the large collection of omics datasets (>34,000), pre-computed signatures (>200,000), and their connections, as well as the analysis of user-submitted omics signatures of diseases and cellular perturbations. iLINCS analysis workflows integrate vast omics data resources and a range of analytics and interactive visualization tools into a comprehensive platform for analysis of omics signatures. iLINCS user-friendly interfaces enable execution of sophisticated analyses of omics signatures, mechanism of action analysis, and signature-driven drug repositioning. We illustrate the utility of iLINCS with three use cases involving analysis of cancer proteogenomic signatures, COVID 19 transcriptomic signatures and mTOR signaling.
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COVID-19 , Neoplasias , COVID-19/genética , Biología Computacional , Humanos , Neoplasias/genética , Programas Informáticos , Transcriptoma , Flujo de TrabajoRESUMEN
[This retracts the article DOI: 10.7759/cureus.6741.].
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Introduction Perforation, obstruction, and bleeding remain the most frequently encountered complications of peptic ulcer disease (PUD). Bleeding may be in the form of hematemesis or melena. The treatment of choice in patients with a bleeding peptic ulcer is endoscopic ligation to maintain the hemostatic balance followed by the administration of proton pump inhibitors (PPIs). This study focuses on the evaluation and comparison of intravenous (IV) and oral PPIs in terms of prevention of re-bleeding after successful endoscopy for peptic ulcers. Methods A prospective, comparative study was conducted in a tertiary care hospital in Pakistan from January 1, 2018 to June 30, 2019. The trial included known cases of PUD admitted with active upper gastrointestinal bleeding (UGIB). They were randomly divided into two groups: one received oral pantoprazole and the other was administered IV pantoprazole. The outcomes for both groups were compared. Data was entered and analyzed using Statistical Package for the Social Sciences (SPSS) software version 23.0 (IBM, Armonk, NY) Results There were 96 (48%) patients in the IV pantoprazole group and 104 (52%) in the oral group. From 24 hours after the medication onwards, the IV pantoprazole group showed a significant improvement in hemoglobin (Hb) levels (p: 0.01); the group also showed improvement in supine systolic BP at 48 hours (p: 0.04) and in diastolic BP at both 12 and 48 hours as compared to the oral pantoprazole group (p: 0.05). The mean duration of hospital stay, need for blood transfusion and repeat endoscopy, re-bleeding, and mortality rates were similar for both groups (p: >0.05). Conclusion We could not find any statistically significant difference between oral and IV routes of pantoprazole administration in the prevention of rebleeding when used after successful therapeutic endoscopy in patients with bleeding PUDs.
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Traditional clustering algorithms often exhibit poor performance for large networks. On the contrary, greedy algorithms are found to be relatively efficient while uncovering functional modules from large biological networks. The quality of the clusters produced by these greedy techniques largely depends on the underlying heuristics employed. Different heuristics based on different attributes and properties perform differently in terms of the quality of the clusters produced. This motivates us to design new heuristics for clustering large networks. In this paper, we have proposed two new heuristics and analyzed the performance thereof after incorporating those with three different combinations in a recently celebrated greedy clustering algorithm named SPICi. We have extensively analyzed the effectiveness of these new variants. The results are found to be promising.