scholarly journals An Artificial Intelligence Characterised Functional Ingredient, Derived from Rice, Inhibits TNF-α and Significantly Improves Physical Strength in an Inflammaging Population

Foods ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1147
Author(s):  
Kathy Kennedy ◽  
Brian Keogh ◽  
Cyril Lopez ◽  
Alessandro Adelfio ◽  
Brendan Molloy ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Functional Ingredient ◽  
Physical Strength ◽  
Active Peptides ◽  
Tnf Α ◽  
Liquid Chromatography Tandem Mass ◽  
Natural Peptide ◽  
Objectively Measured

Food-derived bioactive peptides offer great potential for the treatment and maintenance of various health conditions, including chronic inflammation. Using in vitro testing in human macrophages, a rice derived functional ingredient natural peptide network (NPN) significantly reduced Tumour Necrosis Factor (TNF)-α secretion in response to lipopolysaccharides (LPS). Using artificial intelligence (AI) to characterize rice NPNs lead to the identification of seven potentially active peptides, the presence of which was confirmed by liquid chromatography tandem mass spectrometry (LC-MS/MS). Characterization of this network revealed the constituent peptides displayed anti-inflammatory properties as predicted in vitro. The rice NPN was then tested in an elderly “inflammaging” population with a view to subjectively assess symptoms of digestive discomfort through a questionnaire. While the primary subjective endpoint was not achieved, analysis of objectively measured physiological and physical secondary readouts showed clear significant benefits on the ability to carry out physical challenges such as a chair stand test that correlated with a decrease in blood circulating TNF-α. Importantly, the changes observed were without additional exercise or specific dietary alterations. Further health benefits were reported such as significant improvement in glucose control, a decrease in serum LDL concentration, and an increase in HDL concentration; however, this was compliance dependent. Here we provide in vitro and human efficacy data for a safe immunomodulatory functional ingredient characterized by AI.

scholarly journals An Artificial-Intelligence-Discovered Functional Ingredient, NRT_N0G5IJ, Derived from Pisum sativum, Decreases HbA1c in a Prediabetic Population

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1635
Author(s):  
Sweeny Chauhan ◽  
Alish Kerr ◽  
Brian Keogh ◽  
Stephanie Nolan ◽  
Rory Casey ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pisum Sativum ◽  
Cost Effective ◽  
Glycated Haemoglobin ◽  
Glucose Regulation ◽  
Functional Ingredient ◽  
Effective Manner ◽  
Human Skeletal Muscle Cells ◽  
Increased Risk

The prevalence of prediabetes is rapidly increasing, and this can lead to an increased risk for individuals to develop type 2 diabetes and associated diseases. Therefore, it is necessary to develop nutritional strategies to maintain healthy glucose levels and prevent glucose metabolism dysregulation in the general population. Functional ingredients offer great potential for the prevention of various health conditions, including blood glucose regulation, in a cost-effective manner. Using an artificial intelligence (AI) approach, a functional ingredient, NRT_N0G5IJ, was predicted and produced from Pisum sativum (pea) protein by hydrolysis and then validated. Treatment of human skeletal muscle cells with NRT_N0G5IJ significantly increased glucose uptake, indicating efficacy of this ingredient in vitro. When db/db diabetic mice were treated with NRT_N0G5IJ, we observed a significant reduction in glycated haemoglobin (HbA1c) levels and a concomitant benefit on fasting glucose. A pilot double-blinded, placebo controlled human trial in a population of healthy individuals with elevated HbA1c (5.6% to 6.4%) showed that HbA1c percentage was significantly reduced when NRT_N0G5IJ was supplemented in the diet over a 12-week period. Here, we provide evidence of an AI approach to discovery and demonstrate that a functional ingredient identified using this technology could be used as a supplement to maintain healthy glucose regulation.

Characterization of calves exhibiting a novel inheritable TNF-α hyperresponsiveness to endotoxin: associations with increased pathophysiological complications

2005 ◽  
Vol 98 (6) ◽  
pp. 2045-2055 ◽  
Author(s):  
T. H. Elsasser ◽  
J. W. Blum ◽  
S. Kahl
Keyword(s):  
Mononuclear Cells ◽  
Acute Phase Protein ◽  
Peripheral Blood Mononuclear ◽  
Lps Challenge ◽  
Genetic Potential ◽  
Tnf Α ◽  
Related Stress

A subpopulation of calves, herein termed “hyperresponders” (HPR), was identified and defined by the patterns of plasma TNF-α concentrations that developed following two challenges with endotoxin (LPS, 0.8 μg Escherichia coli 055:B5 LPS/kg0.75live body wt) separated by 5 days. The principle characteristic of HPR calves was a failure to develop tolerance to repeated LPS challenge that was evident in the magnitude of the TNF-α concentrations and prolonged severity of pathological sequellae. Whereas calves failing to develop LPS tolerance were identified on the basis of their excessive in vivo plasma TNF-α concentration responses, in vitro TNF-α responses of peripheral blood mononuclear cells isolated from each calf and challenged with LPS or PMA did not correlate or predict the magnitude of in vivo plasma TNF response of the calf. Intentional breeding to obtain calves from bulls and/or cows documented as HPR resulted in offspring displaying the HPR character when similar progeny calves were tested with LPS in vivo, with extensive controls in place to account for sources of variability in the general TNF-α response to LPS that might compromise interpretation of the data. Feed intake, clinical serology and hematology profiles, and acute-phase protein responses of HPR calves following LPS were significantly different from those of calves displaying tolerance. These results suggest that the pattern of plasma TNF-α changes that evolve from a low-level double LPS challenge effectively reveal the presence of a genetic potential for animals to display excessive or prolonged pathological response to LPS-related stress and compromised prognosis for recovery.

scholarly journals Characterization of Rictor Phosphorylation Sites Reveals Direct Regulation of mTOR Complex 2 by S6K1

2009 ◽  
Vol 29 (21) ◽  
pp. 5657-5670 ◽  
Author(s):  
Christian C. Dibble ◽  
John M. Asara ◽  
Brendan D. Manning
Keyword(s):  
Control Cell ◽  
Mammalian Target Of Rapamycin ◽  
Phosphorylation Site ◽  
Phosphorylation Sites ◽  
Mediated Effects ◽  
Phosphorylation Event ◽  
Liquid Chromatography Tandem Mass ◽  
Precise Molecular Mechanism

ABSTRACT The mammalian target of rapamycin (mTOR) functions within two distinct complexes (mTORC1 and mTORC2) to control cell growth, proliferation, survival, and metabolism. While there has been great progress in our understanding of mTORC1 regulation, the signaling mechanisms that regulate mTORC2 have not been defined. In this study, we use liquid chromatography-tandem mass spectrometry analyses to identify 21 phosphorylation sites on the core mTORC2 component Rictor. We find that one site, T1135, undergoes growth factor-responsive phosphorylation that is acutely sensitive to rapamycin and is phosphorylated downstream of mTORC1. We find that Rictor-T1135 is directly phosphorylated by the mTORC1-dependent kinase S6K1. Although this phosphorylation event does not affect mTORC2 integrity or in vitro kinase activity, expression of a phosphorylation site mutant of Rictor (T1135A) in either wild-type or Rictor null cells causes an increase in the mTORC2-dependent phosphorylation of Akt on S473. However, Rictor-T1135 phosphorylation does not appear to regulate mTORC2-mediated effects on SGK1 or PKCα. While the precise molecular mechanism affecting Akt is unknown, phosphorylation of T1135 stimulates binding of Rictor to 14-3-3 proteins. We provide evidence that Rictor-T1135 phosphorylation acts in parallel with other mTORC1-dependent feedback mechanisms, such as those affecting IRS-1 signaling to PI3K, to regulate the response of Akt to insulin.

scholarly journals Positive/negative ion-switching-based LC–MS/MS method for quantification of cytosine derivatives produced by the TET-family 5-methylcytosine dioxygenases

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Aninda Sundar Dey ◽  
Navid J Ayon ◽  
Chayan Bhattacharya ◽  
William G Gutheil ◽  
Mridul Mukherji
Keyword(s):  
Mass Spectrometry ◽  
Cytosine Methylation ◽  
Negative Ion ◽  
Tandem Mass ◽  
Active Demethylation ◽  
Chromatography Tandem Mass Spectrometry ◽  
In Vitro Characterization ◽  
Liquid Chromatography Tandem Mass

Abstract Cytosine methylation at carbon-5 (5mC) in DNA plays crucial roles in epigenetic transcriptional regulation during metazoan development. The iron (II), 2-oxoglutarate-dependent Ten-Eleven Translocation (TET)-family dioxygenases initiate active demethylation of 5mC. TET2 oxidizes 5mC in nucleic acids into 5-hydroxymethylcytosine, 5-formylcytosine, and 5-carboxylcytosine by iterative oxidation. Mutations in the TET2 gene are frequently detected in myeloid malignancies. Despite the established and emerging roles of TET oxygenases in health and diseases, in vitro characterization of these enzymes and their mutants is still in rudimentary stages. Here, we describe an improved positive/negative ion-switching-based liquid chromatography-tandem mass spectrometry (LC–MS/MS) method that can separate and quantify modified cytosine bases produced by TET-family 5-methylcytosine dioxygenases. This method will help in further elucidate the function of epigenetically important cytosine modifications. To the best of our knowledge, this is the first study reporting ion-switching-based LC–MS/MS method to analyse cytosine variants produced in TET catalysed reactions.

scholarly journals Characterization of Macrophage and Cytokine Interactions with Biomaterials Used in Negative-Pressure Wound Therapy

2021 ◽  
Vol 9 (1) ◽  
pp. 2
Author(s):  
Praveen Krishna Veerasubramanian ◽  
Victor C. Joe ◽  
Wendy F. Liu ◽  
Timothy L. Downing
Keyword(s):  
Negative Pressure ◽  
Negative Pressure Wound Therapy ◽  
Biological Effects ◽  
Wound Therapy ◽  
Tnf Α ◽  
Macrophage Adhesion ◽  
Cytokine Interactions ◽  
Control Surfaces

Macrophages are innate immune cells that help wounds heal. Here, we study the potential immunomodulatory effects of negative-pressure wound therapy (NPWT) materials on the macrophage inflammatory response. We compared the effects of two materials, Granufoam™ (GF) and Veraflo Cleanse™ (VC), on macrophage function in vitro. We find that both materials cause reduced expression of inflammatory genes, such as TNF and IL1B, in human macrophages stimulated with bacterial lipopolysaccharide (LPS) and interferon-gamma (IFNγ). Relative to adherent glass control surfaces, VC discourages macrophage adhesion and spreading, and may potentially sequester LPS/IFNγ and cytokines that the cells produce. GF, on the other hand, was less suppressive of inflammation, supported macrophage adhesion and spreading better than VC, and sequestered lesser quantities of LPS/IFNγ in comparison to VC. The control dressing material cotton gauze (CT) was also immunosuppressive, capable of TNF-α retention and LPS/IFNγ sequestration. Our findings suggest that NPWT material interactions with cells, as well as soluble factors including cytokines and LPS, can modulate the immune response, independent of vacuum application. We have also established methodological strategies for studying NPWT materials and reveal the potential utility of cell-based in vitro studies for elucidating biological effects of NPWT materials.

scholarly journals THP-1 Cells and Pro-inflammatory Cytokine Production: An in Vitro Tool for Functional Characterization of NOD1/NOD2 Antagonists

2019 ◽  
Vol 20 (17) ◽  
pp. 4265 ◽  
Author(s):  
Jakopin ◽  
Corsini
Keyword(s):  
Inflammatory Cytokine ◽  
Functional Characterization ◽  
Toll Like Receptor 4 ◽  
Inflammatory Cytokine Production ◽  
Tnf Α ◽  
Factor Α ◽  
Necrosis Factor ◽  
Oligomerization Domain

THP-1 cells express high levels of native functional nucleotide-binding oligomerization domain 1 (NOD1), NOD2, and Toll-like receptor 4 (TLR4) receptors, and have often been used for investigating the immunomodulatory effects of small molecules. We postulated that they would represent an ideal cell-based model for our study, the aim of which was to develop a new in vitro tool for functional characterization of NOD antagonists. NOD antagonists were initially screened for their effect on NOD agonist-induced interleukin-8 (IL-8) release. Next, we examined the extent to which the selected NOD antagonists block the NOD-TLR4 synergistic crosstalk by measuring the effect of NOD antagonism on tumor necrosis factor-α (TNF-α) secretion from doubly activated THP-1 cells. Overall, the results obtained indicate that pro-inflammatory cytokine secretion from THP-1 provides a valuable, simple and reproducible in vitro tool for functional characterization of NOD antagonists.

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