Fact-based personalised nutrition for the young

Resultado final

D3.4 Network of interaction between nutrition and biomarkers

Using the data delivered in D33 a list of relationship between biomarkers will be identified Also a list of measured effects of nutrition on biomarkers will be compiled

D5.3 Post-Intervention Dietary Assessment Report

All collected data during Observation Phase will be presented for the three groups of the clinical trial at OSR and the one group at HULAFE Mean descriptive dietary characteristics for each group as well as monthly changes during Observation Phase will be described along with statistical associations A comparison of the established methodologies along with new type of dietary data collection uploaded to the platform data will be presented This report will conclude to a statement of the most significant based on collected data dietary components to be examined for incorporation in the platform

D2.2 Report on requirements for urine analysis

Report collects analysis needs from project partners and potential end users for urine analysis. The requirements will be grouped with respect to analytical needs and operational needs and a set of target parameters for downstream work will be defined.

D1.4 Public final activity report

This is a publishable final activity report, covering main aspects of the work, objectives, results and conclusions, including the publishable results of the final plan for using and disseminating the knowledge.Participating partners: ALPES, INTRA, SVI, SWB, TUW, ARGOS, QRT, RU, CSEM, HUA, OSR, REM, VER, CU, HULAFE, VUB

D8.3 Report on exploitation activities

This deliverable is the output of T8.2 & T8.5. The preliminary version will be available in M12 and will be updated yearly. The final version in M48. The report will also present the patent search results and the investigation of the patenting potentials of NUTRISHIELD. It will also include information related to the patent applications that could be submitted. Due dates: M12/M24/M36/48

D8.1 Dissemination plan and material (website, logo, etc

This deliverable is a partial output of T8.1. It will be delivered in M12 and updated every year.

D4.5 Report on breath analysis prototype in laboratory conditions

A report on the integrated device performance using standardized samples and established analytical methodologies in the lab

D5.5. Effectiveness of trial Report

It will be provided at the end of Intervention Phase and in which all collected data during Intervention Phase will be presented, similarly to D4.2. This report will also include a comparative assessment of the two phases (Observation – Intervention) (differences in energy, macro-micronutrients), based on all methods used, data about adherence to the Intervention and a clinical assessment of the effectiveness of the Personalized Dietary Intervention, based on differences in a] the intake of macro/micro nutrients of importance for children/lactating mothers in general, as well as for each child/lactating mother specifically, and b] the predefined endpoints of the trial for each target group

D7.3 Report on personalised nutrition algorithm

The personalised nutrition algorithm will be used for the first 6 month of intervention revised using the data from that period and used again Its performance as in terms of perceived beneficial effect will be estimated both for the first 6month intervention and the second A final report estimating its effectiveness as well as the improvements measured in the second 6month intervention will be issuedLead OSRHULAFE

D8.2 Reporting on the implementation of communication activities

This deliverable is the output of T81 It will describe all dissemination activities of the project and will include also the material that was used posters brochures papers videos etcDue dates M24 and M48

D6.6: Data governance and ETL specifications -Final Version

WP4 date Relevant data may be already available in external stores laboratory measurements and readings of the new NUTRISHIELD sensors will be categorised in orderto take into account privacy data protection IP rights and scientific disclosure constraints The Extract Load Transform ETL framework for all WP4 data that will be collected and processed in accordance with established according to the EU principles in particular the General Data Protection Regulation GDPR IP law and relatred Directive In addition to data ownership and confidentiality issues will be also handled

D2.8 Methodology and key metrics for validation & impact assessment

This will include all the relevant metrics, methodologies and KPIs relevant to the assessment of NUTRISHIELD under clinical settings.

D5.1: Dietary Assessment Baseline Report

Dietary assessment of childrenlactating mothers enrolled in the program will be presented using two different established methodologies 4day food diary and FFQ

D5.4: Report on Nutrition Suggestion Algorithms

This report will be completed at the end of Optimization Stage and will describe in detail the philosophy behind the Personalization of the diet. All included parameters will be discussed along with evidence so far of their association with diet, and their translation into dietary advice to the Platform.

D.5.6 Feasibility Report

which will be provided at the end of the Post-trial period (6 months after the end of the Intervention), and will evaluate the sustainability of the Intervention, through evaluation of adherence to the diet (using the 4-day food diary and FFQ) and endpoints changes.

D5.2 Pre-Intervention Dietary Assessment Report

All collected data during Observation Phase will be presented for the three groups of the clinical trial at OSR and the one group at HULAFE Mean descriptive dietary characteristics for each group as well as monthly changes during Observation Phase will be described along with statistical associations A comparison of the established methodologies along with new type of dietary data collection uploaded to the platform data will be presented This report will conclude to a statement of the most significant based on collected data dietary components to be examined for incorporation in the platform

D2.6 NUTRISHIELD Platform technical requirements & use case design

Report on needs from project partners regarding the NUTRISHIELD App and Platform, as well as a preliminary design of the use cases for the end users.

D3.1 Protocol for the analysis of biomarkers

A complete protocol for the analysis of all biomarkers during the study Including genotype microtype vitamins metabolites as well as psychological financial and social factors The protocol should be ready to implement and serve as a standard during the study

D6.5: Data governance and ETL specifications -Preliminary Version

WP4 date Relevant data may be already available M16 in external stores, laboratory measurements and readings of the new NUTRISHIELD sensors will be categorised in order to take into account privacy, data protection, IP rights and scientific disclosure constraints. The Extract, Load, Transform (ETL) framework for all WP4 data that will be collected and processed in accordance with established according to the EU principles, in particular the General Data Protection Regulation (GDPR), IP law and relatred Directive. In addition to, data ownership and confidentiality issues will be also handled.

D2.7 Clinical protocols for clinical studies in NUTRISHIELD

A preliminary design of the clinical validation scenario to be used for the validation of NUTRISHIELD, describing the process of clinical trials.

D7.4: Report on validation of analysers in clinical validation settings

Report on validation of analysers in clinical validation settings

D6.1 Specifications of NUTRISHIELD Software Framework

The deliverable will provide an overview of the components and the associated integration requirements and detail the integration design. Moreover, an integration roadmap will be specified.

D2.1 Report on requirements for microbiome analysis

Report collects analysis need from project partners and potential users for microbiome analysis. The requirements will include a list of families, species and strains of microorganisms that require measurement. The report will also include a list of potential areas of interest not yet covered in the literature.

Reporting on the implementation of communication activities, v2

This deliverable is the output of T8.1. It will describe all dissemination activities of the project and will include also the material that was used (posters, brochures, papers, videos, etc.).

D2.3 Report on requirements for breast milk analysis

Report collects analysis needs from project partners and potential end users. The requirements will be grouped with respect to analytical needs and operational needs and a set of target parameters for downstream work will be defined.

D2.5 Data fusion & local application requirements

Report collects analysis needs from project partners and potential end users for data fusion and localisation.

D4.1 Report on chemical analysis methods & Suggested spectroscopic parameters for detection

This report gives an overview of the new methods developed for breath, urine and HM analysis. It includes the basic chemical analysis of by analytical reference methods (e.g. by FTIR, LC-MS, etc.) and the different methods and technologies which are applied for high sensitive liquid & gas analysis. A list of analytes and compound for the NUTRISHIELD analysers will be included.

D1.2 Data management plan v1

Report describing the way data generated and collected during the project will be handled (storage, sharing, access, etc.), according to the template for such a plan given in the guidelines on data management in the H2020 Online Manual. This deliverable will evolve during the lifetime of the project in order to present the status of the project's reflections on data management (v2). Participating partners: ALPES, INTRA, SVI, SWB, TUW, ARGOS, QRT, RU, CSEM, HUA, OSR, EPFL, VER, CU, HULAFE

D1.3 Data management plan v2

Final report describing the way data generated and collected during the project will be handled storage sharing access etc This report covers also the postproject periodParticipating partners ALPES INTRA SVI SWB TUW ARGOS QRT RU CSEM HUA OSR REM VER CU HULAFE

Publicaciones

Effect of donor human milk on host-gut microbiota and metabolic interactions in preterm infants

Autores: José David Piñeiro-Ramos, Anna Parra-Llorca, Isabel Ten-Doménech, María Gormaz, Amparo Ramón-Beltrán, María Cernada, Guillermo Quintás, María Carmen Collado, Julia Kuligowski, Máximo Vento
Publicado en: Clinical Nutrition, 2020, ISSN 0261-5614
Editor: Churchill Livingstone
DOI: 10.1016/j.clnu.2020.08.013

The effectiveness of technology-based interventions for weight loss maintenance: A systematic review of randomized controlled trials with meta-analysis

Autores: Eirini Mamalaki, Dimitrios Poulimeneas, Thomas Tsiampalis, Matina Kouvari, Melina Karipidou, Eirini Bathrellou, Clare E. Collins, Demosthenes B. Panagiotakos, Mary Yannakoulia
Publicado en: Obesity Reviews, 2022, ISSN 1467-7881
Editor: Blackwell Publishing Inc.
DOI: 10.1111/obr.13483

Digital Health Interventions for Weight Management in Children and Adolescents: Systematic Review and Meta-analysis

Autores: Matina Kouvari, Melina Karipidou, Thomas Tsiampalis, Eirini Mamalaki, Dimitrios Poulimeneas,Eirini Bathrellou, Demosthenes Panagiotakos, Mary Yannakoulia
Publicado en: Journal of medical Internet Research, 2022, ISSN 1438-8871
Editor: Journal of medical Internet Research
DOI: 10.2196/30675

Fact-based nutrition for infants and lactating mothers—The NUTRISHIELD study

Autores: Victoria Ramos-Garcia, Isabel Ten-Doménech, Alba Moreno-Giménez, Laura Campos-Berga, Anna Parra-Llorca, Amparo Ramón-Beltrán, María J. Vaya, Fady Mohareb, Corentin Molitor, Paulo Refinetti, Andrei Silva, Luis A. Rodrigues, Serge Rezzi, Andrew C. C. Hodgson, Stéphane Canarelli, Eirini Bathrellou, Eirini Mamalaki, Melina Karipidou, Dimitrios Poulimeneas, Mary Yannakoulia, Christopher K. Akhgar
Publicado en: Frontiers in Pediatrics, 2023, ISSN 2296-2360
Editor: Frontiers Media S.A.
DOI: 10.3389/fped.2023.1130179

GC-MS analysis of short chain fatty acids and branched chain amino acids in urine and faeces samples from newborns and lactating mothers

Autores: Victoria Ramos-Garcia, Isabel Ten-Doménech, Alba Moreno-Giménez, Laura Campos-Berga, Anna Parra-Llorca, Álvaro Solaz-García, Inmaculada Lara-Cantón, alejandro Pinilla-Gonzalez, María Gormaz, Máximo Vento, Julia Kuligowski, Guillermo Quintás
Publicado en: Clinica Chimica Acta, 2022, Página(s) Volume 532, 1 July 2022, Pages 172-180, ISSN 0009-8981
Editor: Elsevier BV
DOI: 10.1016/j.cca.2022.05.005

Non-Invasive Monitoring of Inflammation in Inflammatory Bowel Disease Patients during Prolonged Exercise via Exhaled Breath Volatile Organic Compounds

Autores: Victoria Ramos-Garcia1†, Isabel Ten-Doménech1†, Alba Moreno-Giménez1, Laura Campos-Berga1, Anna Parra-Llorca1, Amparo Ramón2, María J. Vaya3, Fady Mohareb4, Corentin Molitor4, Paulo Refinetti5, Andrei Silva5, Luis A. Rodrigues5, Serge Rezzi6, Andrew C.C. Hodgson6, Stéphane Canarelli6, Eirini Bathrellou7, Eirini Mamalaki7, Melina Karipidou7, Dimitrios Poulimeneas7, Mary Yannakoulia7, Chris
Publicado en: Metabolites, 2022, ISSN 2218-1989
Editor: MDPI
DOI: 10.3390/metabo12030224

Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS

Autores: Victoria Ramos-Garcia, Isabel Ten-Doménech, Alba Moreno-Giménez, Laura Campos-Berga, Anna Parra-Llorca, María Gormaz, Máximo Vento, Melina Karipidou, Dimitrios Poulimeneas, Eirini Mamalaki, Eirini Bathrellou, Julia Kuligowski
Publicado en: nutrients, 2023, ISSN 2072-6643
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu15081894

Real-Time Non-Invasive Monitoring of Short-Chain Fatty Acids in Exhaled Breath

Autores: Joris Meurs, Evangelia Sakkoula, Simona M. Cristescu
Publicado en: Frontiers in Chemistry, 2022, ISSN 2296-2646
Editor: Frontiers Media S.A.
DOI: 10.3389/fchem.2022.853541

VarGen: an R package for disease-associated variant discovery and annotation

Autores: Corentin Molitor, Matt Brember, Fady Mohareb
Publicado en: Bioinformatics, Edición 36/8, 2019, Página(s) 2626-2627, ISSN 1367-4803
Editor: Oxford University Press
DOI: 10.1093/bioinformatics/btz930

The validity of technology-based dietary assessment methods in childhood and adolescence: a systematic review

Autores: Matina Kouvari, Eirini Mamalaki, Eirini Bathrellou, Dimitrios Poulimeneas, Mary Yannakoulia, Demosthenes B. Panagiotakos
Publicado en: Critical Reviews in Food Science and Nutrition, 2020, Página(s) 1-16, ISSN 1040-8398
Editor: Taylor & Francis
DOI: 10.1080/10408398.2020.1753166

Feeding the preterm infant: an overview of the evidence

Autores: Dimitrios Poulimeneas, Eirini Bathrellou, George Antonogeorgos, Eirini Mamalaki, Matina Kouvari, Julia Kuligowski, María Gormaz, Demosthenes B. Panagiotakos, Mary Yannakoulia
Publicado en: International Journal of Food Sciences and Nutrition, 2020, Página(s) 1-10, ISSN 0963-7486
Editor: Taylor & Francis
DOI: 10.1080/09637486.2020.1754352

Current Practice in Untargeted Human Milk Metabolomics

Autores: Isabel Ten-Doménech, Victoria Ramos-Garcia, José David Piñeiro-Ramos, María Gormaz, Anna Parra-Llorca, Máximo Vento, Julia Kuligowski, Guillermo Quintás
Publicado en: Metabolites, Edición 10/2, 2020, Página(s) 43, ISSN 2218-1989
Editor: Multidisciplinary Digital Publishing Institute
DOI: 10.3390/metabo10020043

Exhaled Breath Reflects Prolonged Exercise and Statin Use during a Field Campaign

Autores: Ben Henderson, Guilherme Lopes Batista, Carlo G. Bertinetto, Joris Meurs, Dušan Materić, Coen C. W. G. Bongers, Neeltje A. E. Allard, Thijs M. H. Eijsvogels, Rupert Holzinger, Frans J. M. Harren, Jeroen J. Jansen, Maria T. E. Hopman, Simona M. Cristescu
Publicado en: Metabolites, Edición 11/4, 2021, Página(s) 192, ISSN 2218-1989
Editor: MDPI
DOI: 10.3390/metabo11040192

The effect of Holder pasteurization on the lipid and metabolite composition of human milk

Autores: Isabel Ten-Domenech, Victoria Ramos-Garcia, Marta Moreno-Torres, Anna Parra-Llorca, María Gormaz, Maximo Vento, Julia Kuligowski, Guillermo Quintas
Publicado en: Food chemistry, 2022, ISSN 0308-8146
Editor: Elsevier BV
DOI: 10.1016/j.foodchem.2022.132581

Fast profiling of primary, secondary, conjugated, and sulfated bile acids in human urine and murine feces samples

Autores: Victoria Ramos-Garcia, Isabel Ten-Doménech, Máximo Vento, Clara Bullich-Vilarrubias, Marina Romaní-Pérez, Yolanda Sanz, Angelica Nobili, Marika Falcone, Marina Di Stefano, Guillermo Quintás, Julia Kuligowski
Publicado en: Analytical and bioanalytical chemistry, Edición 415(20), 2023, Página(s) 4961–4971, ISSN 1618-2650
Editor: Springer
DOI: 10.1007/s00216-023-04802-8

The Next Generation of IR Spectroscopy: EC-QCL-Based Mid-IR Transmission Spectroscopy of Proteins with Balanced Detection

Autores: Christopher K. Akhgar, Georg Ramer, Mateusz Żbik, Artur Trajnerowicz, Jarosław Pawluczyk, Andreas Schwaighofer, Bernhard Lendl
Publicado en: Analytical Chemistry, Edición 92/14, 2020, Página(s) 9901-9907, ISSN 0003-2700
Editor: American Chemical Society
DOI: 10.1021/acs.analchem.0c01406

Visualization of Nutrient-Related Clinical Practice Guidelines in Childhood

Autores: George Antonogeorgos, Eirini Bathrellou, Matina Kouvari, Eirini Mamalaki, Dimitrios Poulimeneas, MAry Yannakoulia, Demosthenes B. Panagiotakos
Publicado en: The North African Journal of Food and Nutrition Research, Edición Volume 5, Numéro 2, Pages 79-92, 2021, ISSN 2588-1582
Editor: ASJP
DOI: 10.51745/najfnr.5.12.79-92

Fatty Acid Determination in Human Milk Using Attenuated Total Reflection Infrared Spectroscopy and Solvent-Free Lipid Separation

Autores: Christopher K. Akhgar, Vanessa Nürnberger, Marlene Nadvornik, Victoria Ramos-Garcia, Isabel Ten-Doménech, Julia Kuligowski, Andreas Schwaighofer, Erwin Rosenberg and Bernhard Lendl
Publicado en: Applied Spectroscopy, 2022, ISSN 0003-7028
Editor: Society for Applied Spectroscopy
DOI: 10.1177/00037028211065502

ATR-FTIR spectroscopy for the routine quality control of exosome isolations

Autores: Victoria Ramos-Garcia, Isabel Ten-Doménech, Alba Moreno-Giménez, María Gormaz, Anna Parra-Llorca, Alex P. Shephard, Pilar Sepúlveda, David Pérez-Guaita, Máximo Vento, Bernhard Lendl, Guillermo Quintás, Julia Kuligowski
Publicado en: Chemometrics and Intelligent Laboratory Systems, Edición 217, 2021, Página(s) 104401, ISSN 0169-7439
Editor: Elsevier BV
DOI: 10.1016/j.chemolab.2021.104401

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