Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Elena Chekmeneva"'
Autor:
Maja Skov Kragsnaes, Jesus Miguens Blanco, Benjamin H. Mullish, Jose Ivan Serrano‐Contreras, Jens Kjeldsen, Hans Christian Horn, Jens Kristian Pedersen, Heidi Lausten Munk, Anna Christine Nilsson, Ash Salam, Matthew R. Lewis, Elena Chekmeneva, Karsten Kristiansen, Julian R. Marchesi, Torkell Ellingsen
Publikováno v:
ACR Open Rheumatology, Vol 5, Iss 11, Pp 583-593 (2023)
Objective We investigated intestinal permeability and fecal, plasma, and urine metabolomic profiles in methotrexate‐treated active psoriatic arthritis (PsA) and how this related to clinical response following one sham or fecal microbiota transplant
Externí odkaz:
https://doaj.org/article/0854ce52aa8648ecb3c6b125d73d5e5c
Autor:
Niek F. de Jonge, Joris J. R. Louwen, Elena Chekmeneva, Stephane Camuzeaux, Femke J. Vermeir, Robert S. Jansen, Florian Huber, Justin J. J. van der Hooft
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
The authors develop a machine learning approach to find structurally related chemicals in mass spectral libraries. Their method boosts the annotation rate and aids in assessing novelty in metabolomics datasets.
Externí odkaz:
https://doaj.org/article/853d80f1a220423dac05a7c99434f4b4
Autor:
Aisha Augustin, Adrien Le Guennec, Chianna Umamahesan, Aidan Kendler‐Rhodes, Rosalind M. Tucker, Elena Chekmeneva, Panteleimon Takis, Matthew Lewis, Karthik Balasubramanian, Neville DeSouza, Benjamin H Mullish, David Taylor, Suzanne Ryan, Kevin Whelan, Yun Ma, Mohammad A. A. Ibrahim, Ingvar Bjarnason, Bu’ Hussain Hayee, André Charlett, Sylvia M. Dobbs, R. John Dobbs, Clive Weller
Publikováno v:
Clinical and Translational Medicine, Vol 13, Iss 1, Pp n/a-n/a (2023)
ABSTRACT Background Gut‐brain axis is widely implicated in the pathophysiology of Parkinson's disease (PD). We take an integrated approach to considering the gut as a target for disease‐modifying intervention, using continuous measurements of dis
Externí odkaz:
https://doaj.org/article/ccde67eafabf48f386cee791aff7eb94
Autor:
Salwa Alhamad, Yassmin Elmasry, Isabel Uwagboe, Elena Chekmeneva, Caroline Sands, Benjamin W. Cooper, Stephane Camuzeaux, Ash Salam, Maddy Parsons
Publikováno v:
Cancers, Vol 15, Iss 13, p 3530 (2023)
Lung cancer is one of the most common cancers worldwide, and despite improvements in treatment regimens, patient prognosis remains poor. Lung adenocarcinomas develop from the lung epithelia and understanding how specific genetic and environmental fac
Externí odkaz:
https://doaj.org/article/2125b51873e4425b998008304b92588f
Autor:
Natalja Kurbatova, Manik Garg, Luke Whiley, Elena Chekmeneva, Beatriz Jiménez, María Gómez-Romero, Jake Pearce, Torben Kimhofer, Ellie D’Hondt, Hilkka Soininen, Iwona Kłoszewska, Patrizia Mecocci, Magda Tsolaki, Bruno Vellas, Dag Aarsland, Alejo Nevado-Holgado, Benjamine Liu, Stuart Snowden, Petroula Proitsi, Nicholas J. Ashton, Abdul Hye, Cristina Legido-Quigley, Matthew R. Lewis, Jeremy K. Nicholson, Elaine Holmes, Alvis Brazma, Simon Lovestone
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-17 (2020)
Abstract Finding early disease markers using non-invasive and widely available methods is essential to develop a successful therapy for Alzheimer’s Disease. Few studies to date have examined urine, the most readily available biofluid. Here we repor
Externí odkaz:
https://doaj.org/article/1bd85f619d574055ba7c1fb49956bdea
Autor:
Chung-Ho E. Lau, Victoria Taylor-Bateman, Panagiotis A. Vorkas, Gonçalo Graça, Thanh-Huyen T. Vu, Lifang Hou, Elena Chekmeneva, Timothy M. D. Ebbels, Queenie Chan, Linda Van Horn, Elaine Holmes
Publikováno v:
Metabolites, Vol 10, Iss 12, p 498 (2020)
Background: Overweight and obesity amongst women of reproductive age are increasingly common in developed economies and are shown to adversely affect birth outcomes and both childhood and adulthood health risks in the offspring. Metabolic profiling i
Externí odkaz:
https://doaj.org/article/493a5615efc245f8a6a19720884b5380
Autor:
Parsons, Salwa Alhamad, Yassmin Elmasry, Isabel Uwagboe, Elena Chekmeneva, Caroline Sands, Benjamin W. Cooper, Stephane Camuzeaux, Ash Salam, Maddy
Publikováno v:
Cancers; Volume 15; Issue 13; Pages: 3530
Lung cancer is one of the most common cancers worldwide, and despite improvements in treatment regimens, patient prognosis remains poor. Lung adenocarcinomas develop from the lung epithelia and understanding how specific genetic and environmental fac
Autor:
Rui Climaco Pinto, Ibrahim Karaman, Matthew R. Lewis, Jenny Hällqvist, Manuja Kaluarachchi, Gonçalo Graça, Elena Chekmeneva, Brenan Durainayagam, Mohsen Ghanbari, M. Arfan Ikram, Henrik Zetterberg, Julian Griffin, Paul Elliott, Ioanna Tzoulaki, Abbas Dehghan, David Herrington, Timothy Ebbels
Publikováno v:
Analytical Chemistry, 94(14), 5493-5503. American Chemical Society
Integration of multiple datasets can greatly enhance bioanalytical studies, for example, by increasing power to discover and validate biomarkers. In liquid chromatography-mass spectrometry (LC-MS) metabolomics, it is especially hard to combine untarg
Autor:
James L Alexander, Nicola J Wyatt, Stephane Camuzeaux, Elena Chekmeneva, Beatriz Jimenez, Caroline J Sands, Hannah Fuller, Panteleimon Takis, Tariq Ahmad, Jennifer A Doyle, Ailsa Hart, Peter M Irving, Nicholas A Kennedy, Charlie W Lees, James O Lindsay, Rebecca E McIntyre, Miles Parkes, Natalie J Prescott, Tim Raine, Jack Satsangi, Richard Alexander Speight, Luke Jostins-Dean, Nick Powell, Julian R Marchesi, Christopher J Stewart, Christopher A Lamb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c6f60356ae20c7a39e4120fc9f83ba0
http://hdl.handle.net/10044/1/102763
http://hdl.handle.net/10044/1/102763
Autor:
Alen Albreht, Humma Hussain, Beatriz Jiménez, Ada H. Y. Yuen, Luke Whiley, Matthias Witt, Matthew R. Lewis, Elena Chekmeneva
Publikováno v:
Analytical Chemistry. 94:1760-1768
Liquid chromatography mass spectrometry (LC-MS) is the main workhorse of metabolomics owing to its high degree of analytical sensitivity and specificity when measuring diverse chemistry in complex biological samples. LC-MS-based metabolic profiling o