Q Chen A / Y Wang (@5.5) vs M Kawamura / F Kozaki (@1.12)
10-09-2019

Our Prediction:

M Kawamura / F Kozaki will win
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Q Chen A / Y Wang – M Kawamura / F Kozaki Match Prediction | 10-09-2019 02:30

Intake is reported to vary depending on region, gender and season and is reported as ranging from 4.37 mg/day to 454 mg/day 44, 46, 47. The estimated quercetin consumption varies depending on the food frequency questionnaire used 47. The quercetin content of fresh fruit and vegetables was found to vary from as little as 0.5mg/100g (fresh weight) in broccoli to as high as 41.9mg/100g in onions 46. The half-life of quercetin is reported as varying from 11 to 28hrs, and is influenced by co-administration with other dietary compounds such as fat, fibre and other flavonoids 44.

Both these options allow for the user to tailor and specify the miRNAs for investigation when looking into different pathways. The details option in the DIANA software allows the user to see which miRNAs were predicted to have statistical significance with each pathway. The results from the DIANA software revealed our miRNA lists had statistically significant interactions with pathways such as fatty acid biosynthesis and fatty acid metabolism. The software also predicted other more specific pathways of interest such as prostate cancer, colorectal cancer, bladder cancer and many others. Such results mutually strengthen both the evidence from literature of dietary modulated miRNAs and also the accuracy of prediction. This reduces the time needed to find miRNAs of interest. prostate cancer and generates a list of statistically significant miRNA interactions from the Tarbase v7.0 database. Other pathways such as proteoglycans in cancer and miRNAs in cancer consistently ranked among the most statistically significant pathways (Table 2 - Table 4). Furthermore, a reverse search option allows the user to input a pathway of interest, i.e. Interestingly, such pathways, which may seem irrelevant, have been shown in several studies to over-activate in cancers, causing increased energy uptake and metabolism whilst promoting clinically aggressive behaviour in tumours, tumour cell-growth and survival 68, 69, 70, 71, 72. Usually vast assays of miRNAs are assessed in order to see which have been altered, however the software does this for the researcher and thus decreases the need for time and resources for such assays. However, the software brings to light the need for further exploration under the lens of miRNA. While we focussed on cancer, other physiological pathways of interest could follow a similar model. When we consider the implications of this software, one of its strengths is in its vast database of experimentally supported interactions.

MiR-221 and miR-222, modulated by genistein and butyrate, are paralogues and are often investigated as a pair. They regulate the tumour suppressor protein p27kip1 which acts as a cell cycle inhibitor 57. Furthermore, their clinical relevance in prostate cancer has allowed the proposal of their use as a molecular marker for the characterisation of cancer progression 59. Importantly, they have oncogenic roles via the down-regulation of this protein, promoting the progression of cancer 58.

Bioactives such as polyphenols and isoflavones found naturally in our food are increasingly being recognised as regulators of interest. We carried out a literature review wherein we assessed the impact of three dietary compounds, namely butyrate, genistein and quercetin, on miRNA expression followed by an in silico study utilising DIANA-miRPathv3 software. These compounds can regulate cancer pathways through microRNAs which are critical in modulating expression of various genes. Diet plays a major role in regulating cancer. The in silico analysis identified key pathways of interest such as bladder cancer which had significant interactions with the miRNAs modulated by the dietary compounds. Our literature search found that miR-34a, miR-200a-3p and miR-200b-3p were modulated by all three compounds while miR-221, miR-222, miR-29a, miR-3935 and miR-574-3p were modulated by both genistein and butyrate and let-7b, miR-194, miR-96-5p and miR-424 were modulated by butyrate and quercetin.

Live Match

Ultimately DIANA software is reliant on the strength of the data within the database upon which it utilises. When lists have to be broken up, they are seen as separate entities and this restricts the ability to form large networks of miRNA relationships and interactions. The modulation of miR-34a by quercetin demonstrates an important point, namely that bioactives may in reality modulate miRNAs differently in different tissues. The strength of this programme is in the prediction and visualisation of networks between various miRNA and relevant pathways. It is not clear how DIANA software utilises contradictory information. If different tissues result in different activities of miRNA, we cannot assume that the assumption the software makes of this miRNA truly captures the nature of its activity. This restricts the possibility of large miRNA studies as they have to be broken up into smaller sets. Interestingly, Sun et al. The effects of down-regulation or up-regulation of certain miRNA as seen in our literature review is not taken into consideration by the algorithm and thus the effects of this cannot be presented. Hu et al. (2009) found that quercetin both up-regulated and down-regulated miR-34a 26. Firstly, there is a limit of 100miRNAs that can be input at any one time. Although there are many trengths associated with the programme, there were several factors which vastly limited its applicability. Secondly, the software is limited in the information that it can provide. (2013) found that genistein had antagonist effects, up-regulating its expression 25. This is important as our review found that different bioactives had antagonistic effects on miR-34a. While its algorithms can show the degree of significance of interaction between a miRNA and a pathway, this is where it is limited too. (2011) found that butyrate down-regulated the expression of miR-34a 17 while Hirata et al.

There were also more specific pathways relevant to each cancer such as prostate cancer, colorectal cancer and glioma found in each table. Table 2 - Table 4 represent the statistically significant interactions of miRNAs modulated by each bioactive with the KEGG pathways. These pathways maybe of greater interest to those who are considering the miRNA influence in specific cancers. Importantly, we found that pathways relevant to cancer development such as miRNAs in cancer, proteoglycans in cancer and hippo signalling pathway consistently ranked amongst the higher statistically significant interactions.

Assembly of Micro/Nanomaterials into Complex, Three-dimensional Architectures by Compressive Buckling [pdf] [introduction video] S. Xu, Z. Badea, Y.H. Flavin, J. Nuzzo, Y.G. Kim, Z.J. Xiao, G.Y. 36. Fu, J.H. Zhang, J.A. Cheng, W. Huang, Y.H. Wei, M. Zhou, J.W. Huang, H.R. Liu, D.Q. McCracken, R.H. Paik, R.G. Banks, X.L. Wang, A. Jang, W. Li, U. Lee, H.U. Ren, A. Yan, K.-I. Chung, H.Y.

Wang, Y. Li, H.J. Gong, S.B., Bhaskaran, Y. Huang, H. Wang, X.S. Zhang, Z.Y. 52. Pisano, L.F. Makihata, Y.X. Zhang,Z.L. Hu, L. Zhang, Z.N. Monitoring of the Central Blood Pressure Waveform via a Conformal Ultrasonic Device [pdf]C.H. Zhang, Q.F. Huang, M.Y. Chen, A.P. Chen, C.F. Lei, Y.M. Lin, Z.R. Li, T.J. Gu, M. Zhouand S. Guo, Y.S. Yin, B.

We aimed to effectively evaluate the strength of evidence from the available literature regarding the usefulness of dietary bioactives whilst, simultaneously demonstrating the features of the DIANA software and its ability to synergistically strengthen data from the literature. To conclude, dietary bioactives modulate miRNA which in turn have effects on cancer development and progression. Rather than seeking a needle in a haystack, we liken the use of DIANA software together with Tarbase, as dramatically reducing the size of the miRNA pool to be investigated, to something more manageable from a logistical and financial point of view. Such evidence sourced from experimentally supported interactions as seen in Tarbase v7.0, implies that we can be relatively confident, keeping the limitations in mind, that the information provided can be applied in the laboratory to investigate diet-miRNA interactions in the context of cancers.