Theoretical structural insights into the snakin/GASA family

AbstractAmong the main classes of cysteine-stabilized antimicrobial peptides, the snakin/GASA family has not yet had any structural characterization. Through the combination of ab initio and comparative modeling with a disulfide bond predictor, the three-dimensional structure prediction of snakin-1 is reported here. The structure was composed of two long α-helices with a disulfide pattern of CysI-CysIX, CysII-CysVII, CysIII-CysIV, CysV-CysXI, CysVI-CysXII and CysVIII-CysX. The overall structure was maintained throughout molecular dynamics simulation. Snakin-1 showed a small degree of structural similarity with thionins and α-helical hairpins. This is the first report of snakin-1 structural characterization, shedding some light on the snakin/GASA family

In vivo antimicrobial evaluation of an alanine-rich peptide derived from Pleuronectes americanus

AbstractIn several organisms, the first barrier against microbial infections consists of antimicrobial peptides (AMPs) which are molecules that act as components of the innate immune system. Recent studies have demonstrated that AMPs can perform various functions in different tissues or physiological conditions. In this view, this study was carried out in order to evaluate the multifunctional activity in vivo of an alanine-rich peptide, known as Pa-MAP, derived from the polar fish Pleuronectes americanus. Pa-MAP was evaluated in intraperitoneally infected mice with a sub-lethal concentration of Escherichia coli at standard concentrations of 1 and 5mgkg−1. At both concentrations, Pa-MAPs exhibited an ability to prevent E. coli infection and increase mice survival, similar to the result observed in mice treated with ampicillin at 2mgkg−1. In addition, mice were monitored for weight loss. The results showed that mice treated with Pa-MAPs at 1mgkg−1 gained 0.8% of body weight during the 72h of experiment. The same was observed with Pa-MAP at 5mgkg−1, which had a gain of 0.5% in body weight during the treatment. Mice treated with ampicillin at 2mgkg−1 show a significant weight loss of 5.6% of body weight. The untreated group exhibited a 5.5% loss of body weight. The immunomodulatory effects were also evaluated by the quantification of IL-10, IL-12, TNF-α, IFN-γ and nitric oxide cytokines in serum, but no immunomodulatory activity was observed. Data presented here suggest that Pa-MAP should be used as a novel antibiotic against infection control

The molecular signaling of exercise and obesity in the microbiota-gut-brain axis

Obesity is one of the major pandemics of the 21st century. Due to its multifactorial etiology, its treatment requires several actions, including dietary intervention and physical exercise. Excessive fat accumulation leads to several health problems involving alteration in the gut-microbiota-brain axis. This axis is characterized by multiple biological systems generating a network that allows bidirectional communication between intestinal bacteria and brain. This mutual communication maintains the homeostasis of the gastrointestinal, central nervous and microbial systems of animals. Moreover, this axis involves inflammatory, neural, and endocrine mechanisms, contributes to obesity pathogenesis. The axis also acts in appetite and satiety control and synthesizing hormones that participate in gastrointestinal functions. Exercise is a nonpharmacologic agent commonly used to prevent and treat obesity and other chronic degenerative diseases. Besides increasing energy expenditure, exercise induces the synthesis and liberation of several muscle-derived myokines and neuroendocrine peptides such as neuropeptide Y, peptide YY, ghrelin, and leptin, which act directly on the gut-microbiota-brain axis. Thus, exercise may serve as a rebalancing agent of the gut-microbiota-brain axis under the stimulus of chronic low-grade inflammation induced by obesity. So far, there is little evidence of modification of the gut-brain axis as a whole, and this narrative review aims to address the molecular pathways through which exercise may act in the context of disorders of the gut-brain axis due to obesity

Identification and characterization of a bactericidal and proapoptotic peptide from cycas revoluta seeds with DNA binding properties

Nowadays, novel pharmacies have been screened from plants. Among them are the peptides, which show multiple biotechnological activities. In this report, a small peptide (Ala–Trp–Lys–Leu–Phe–Asp–Asp–Gly–Val) with a molecular mass of 1,050 Da was purified from Cycas revoluta seeds by using reversed-phase liquid chromatography. This peptide shows clear deleterious effects against human epidermoid cancer (Hep2) and colon carcinoma cells (HCT15). It caused inhibition of cancer cell proliferation and further disruption of nucleosome structures, inducing apoptosis by direct DNA binding. A remarkable antibacterial activity was also observed in this same peptide. Nevertheless, no significant lysis of normal RBC cells was observed in the presence of peptide. Additionally, an acetylation at the N-termini portion is able to reduce both activities. Bioinformatics tools were also utilized for construction of a three-dimensional model showing a single amphipathic helix. Since in vitro binding studies show that the target of this peptide seems to be DNA, theoretical docking studies were also performed to better understand the interaction between peptide and nucleic acids and also to shed some light on the acetyl group role. Firstly, binding studies showed that affinity contacts basically occur due to electrostatic attraction. The complex peptide-ssDNA was clearly oriented by residues Ala1, Lys3 and Asp6, which form several hydrogen bonds that are able to stabilize the complex. When acetyl was added, hydrogen bonds are broken, reducing the peptide affinity. In summary, it seems that information here provided could be used to design a novel derivative of this peptide which a clear therapeutic potential

Proteomic Analysis and Functional Validation of a Brassica oleracea Endochitinase Involved in Resistance to Xanthomonas campestris

Black rot is a severe disease caused by the bacterium Xanthomonas campestris pv. campestris (Xcc), which can lead to substantial losses in cruciferous vegetable production worldwide. Although the use of resistant cultivars is the main strategy to control this disease, there are limited sources of resistance. In this study, we used the LC-MS/MS technique to analyze young cabbage leaves and chloroplast-enriched samples at 24 h after infection by Xcc, using both susceptible (Veloce) and resistant (Astrus) cultivars. A comparison between susceptible Xcc-inoculated plants and the control condition, as well as between resistant Xcc-inoculated plants with the control was performed and more than 300 differentially abundant proteins were identified in each comparison. The chloroplast enriched samples contributed with the identification of 600 additional protein species in the resistant interaction and 900 in the susceptible one, which were not detected in total leaf sample. We further determined the expression levels for 30 genes encoding the identified differential proteins by qRT-PCR. CHI-B4 like gene, encoding an endochitinase showing a high increased abundance in resistant Xcc-inoculated leaves, was selected for functional validation by overexpression in Arabidopsis thaliana. Compared to the wild type (Col-0), transgenic plants were highly resistant to Xcc indicating that CHI-B4 like gene could be an interesting candidate to be used in genetic breeding programs aiming at black rot resistance

Effects of acute aerobic exercise on rats serum extracellular vesicles diameter, concentration and small RNAs content

Physical exercise stimulates organs, mainly the skeletal muscle, to release a broad range of molecules, recently dubbed exerkines. Among them, RNAs, such as miRNAs, piRNAs, and tRNAs loaded in extracellular vesicles (EVs) have the potential to play a significant role in the way muscle and other organs communicate to translate exercise into health. Low, moderate and high intensity treadmill protocols were applied to rat groups, aiming to investigate the impact of exercise on serum EVs and their associated small RNA molecules. Transmission electron microscopy, resistive pulse sensing, and western blotting were used to investigate EVs morphology, size distribution, concentration and EVs marker proteins. Small RNA libraries from EVs RNA were sequenced. Exercise did not change EVs size, while increased EVs concentration. Twelve miRNAs were found differentially expressed after exercise: rno-miR-128-3p, 1033p, 330-5p, 148a-3p, 191a-5p, 10b-5p, 93-5p, 25-3p, 142-5p, 3068-3p, 142-3p, and 410-3p. No piRNA was found differentially expressed, and one tRNA, trna8336, was found down-regulated after exercise. The differentially expressed miRNAs were predicted to target genes involved in the MAPK pathway. A single bout of exercise impacts EVs and their small RNA load, reinforcing the need for a more detailed investigation into EVs and their load as mediators of health-promoting exercise

Geometric deep learning as a potential tool for antimicrobial peptide prediction

Antimicrobial peptides (AMPs) are components of natural immunity against invading pathogens. They are polymers that fold into a variety of three-dimensional structures, enabling their function, with an underlying sequence that is best represented in a non-flat space. The structural data of AMPs exhibits non-Euclidean characteristics, which means that certain properties, e.g., differential manifolds, common system of coordinates, vector space structure, or translation-equivariance, along with basic operations like convolution, in non-Euclidean space are not distinctly established. Geometric deep learning (GDL) refers to a category of machine learning methods that utilize deep neural models to process and analyze data in non-Euclidean settings, such as graphs and manifolds. This emerging field seeks to expand the use of structured models to these domains. This review provides a detailed summary of the latest developments in designing and predicting AMPs utilizing GDL techniques and also discusses both current research gaps and future directions in the field