Moringa oleifera leaf extract influences oxidative metabolism in C2C12 myotubes through SIRT1-PPARα pathway

Abstract Background Moringa oleifera is an important traditional multipurpose plant, due to the presence of many bioactive compounds. Moringa oleifera leaf extracts (MOLE) have been shown to have many beneficial properties in pathological conditions including diabete. However, the lack of information about its exact molecular mechanism of action might hinder other potential use in different areas such as skeletal muscle physiology. Hypothesis/purpose Skeletal muscle represents about 40-50% of the total mass of a lean individual and is an insulin-sensitive tissue with wide variations in energy requirements. We aimed to test the effects of MOLE on oxidative metabolism and the molecular mechanism involved on myotubes by using C2C12 cell line, a well known model for in vitro skeletal muscle studies. Study design C2C12 myotubes were treated with MOLE at different working solutions for 24 and 48 hours and then culture media and cellular extracts were collected. MOLE was screened for phytochemicals determination. Methods Glucose and free fatty acids consumption along with lactate release were assessed in the culture media. Citrate sinthase, 3-hydroxy acylCoA dehydrogenase, alanine transglutaminase and creatine kinase enzyme activities, as well as the metabolic regulatory SIRT1 and PPARα protein levels were evaluated in cellular extracts. Results MOLE administration induced a dose and time dependent increase in substrates consumption accompanied by an increase in intracellular oxidative metabolism enzymatic activity levels. The extracts were also able to modulate positively the protein expression of SIRT1 and PPARα. Conclusion Altogether, these data indicate that MOLE could represent a valid nutritional support for improving skeletal muscle metabolism: in fact MOLE treatment increased oxidative energy metabolism and possibly favours mitochondrial biogenesis through SIRT1/PPARα pathway. future studies will clarify wether Moringa oleifera leaf extracts consumption may be useful to improve physical performance and metabolic-related skeletal muscle diseases

Raster-image-correlation spectroscopy of paxillin-GFP-expressing breast cancer cell in vitro and in vivo

Abstract Raster-image-correlation spectroscopy (RICS) is a noninvasive technique to detect and quantify events in the living cell, including concentrations of molecules and their diffusion coefficients. Any cell containing a fluorophore that can be imaged with a laser scanning microscope can be analyzed with RICS. We obtained RICS images with an Olympus FluoView FV1000 confocal microscope using Olympus FluoView software to acquire data and SimFCS software to perform RICS analysis. Paxillin is involved in the assembly of focal adhesions, which was linked to green fluorescent protein (GFP) for the current study. In this study, we describe RICS of paxillin-GFP expression in breast cancer cells (MDA-MB-231) in vitro and in vivo. Slow-moving membrane-bound paxillin proteins were measured in live breast cancer cells in vitro. Paxillin-GFP-expressing breast cancer cells (1×106) were injected in the epigastric cranials vein of the nude mouse. Paxillin-GFP-expressing breast cancer cells became attached to the inner vessel wall within 3 hours after injection. Rapidly-moving cytosolic paxillin-GFP molecules were imaged with RICS. With the ability to measure the molecular dynamics of paxillin in cancer cells in vitro and in vivo by RICS, we are now capable of studying the role of both slow-moving paxillin in the cell membrane and rapidly-moving cytosolic paxillin in cancer-cell behavior. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5183. doi:1538-7445.AM2012-518

Discrete Changes in Glucose Metabolism Define Aging

Aging is a physiological process in which multifactorial processes determine a progressive decline. Several alterations contribute to the aging process, including telomere shortening, oxidative stress, deregulated autophagy and epigenetic modifications. In some cases, these alterations are so linked with the aging process that it is possible predict the age of a person on the basis of the modification of one specific pathway, as proposed by Horwath and his aging clock based on DNA methylation. Because the energy metabolism changes are involved in the aging process, in this work, we propose a new aging clock based on the modifications of glucose catabolism. The biochemical analyses were performed on mononuclear cells isolated from peripheral blood, obtained from a healthy population with an age between 5 and 106 years. In particular, we have evaluated the oxidative phosphorylation function and efficiency, the ATP/AMP ratio, the lactate dehydrogenase activity and the malondialdehyde content. Further, based on these biochemical markers, we developed a machine learning-based mathematical model able to predict the age of an individual with a mean absolute error of approximately 9.7 years. This mathematical model represents a new non-invasive tool to evaluate and define the age of individuals and could be used to evaluate the effects of drugs or other treatments on the early aging or the rejuvenation

chemical composition antioxidant antimicrobial and anti inflammatory activity of prunus spinosa l fruit ethanol extract

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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure fl ux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defi ned as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (inmost higher eukaryotes and some protists such as Dictyostelium ) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the fi eld understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation it is imperative to delete or knock down more than one autophagy-related gene. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways so not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field

Measurement of the inclusive isolated-photon cross section in pp collisions at √s = 13 TeV using 36 fb−1 of ATLAS data

The differential cross section for isolated-photon production in pp collisions is measured at a centre-of-mass energy of 13 TeV with the ATLAS detector at the LHC using an integrated luminosity of 36.1 fb. The differential cross section is presented as a function of the photon transverse energy in different regions of photon pseudorapidity. The differential cross section as a function of the absolute value of the photon pseudorapidity is also presented in different regions of photon transverse energy. Next-to-leading-order QCD calculations from Jetphox and Sherpa as well as next-to-next-to-leading-order QCD calculations from Nnlojet are compared with the measurement, using several parameterisations of the proton parton distribution functions. The predictions provide a good description of the data within the experimental and theoretical uncertainties. [Figure not available: see fulltext.