Francesc Puig‐Castellví

ORCID: 0000-0003-1064-9586
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About
Contact & Profiles
Research Areas
  • Metabolomics and Mass Spectrometry Studies
  • Gut microbiota and health
  • Anaerobic Digestion and Biogas Production
  • Spectroscopy and Chemometric Analyses
  • Meat and Animal Product Quality
  • Advanced Chemical Sensor Technologies
  • Microbial Metabolic Engineering and Bioproduction
  • Diet and metabolism studies
  • Fermentation and Sensory Analysis
  • Advanced Computational Techniques and Applications
  • DNA and Nucleic Acid Chemistry
  • Food Quality and Safety Studies
  • GABA and Rice Research
  • Potato Plant Research
  • NMR spectroscopy and applications
  • Chemical Synthesis and Analysis
  • Nutritional Studies and Diet
  • Molecular Sensors and Ion Detection
  • Biofuel production and bioconversion
  • Dialysis and Renal Disease Management
  • Sulfur Compounds in Biology
  • Liver Disease Diagnosis and Treatment
  • Mass Spectrometry Techniques and Applications
  • Melamine detection and toxicity
  • Wastewater Treatment and Nitrogen Removal

European Genomic Institute for Diabetes
2022-2024

Université de Lille
2022-2024

Inserm
2022-2024

Centre National de la Recherche Scientifique
2022-2024

Imperial College London
2023-2024

Institut Pasteur de Lille
2022-2024

AgroParisTech
2020-2023

Université Paris-Saclay
2020-2023

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2023

ParisTech
2020-2023

Petros Andrikopoulos Judith Aron‐Wisnewsky Rima Chakaroun Antonis Myridakis Sofia K. Forslund and 95 more Trine Nielsen Solia Adriouch Bridget Holmes Julien Chilloux Sara Vieira‐Silva Gwen Falony Joe‐Elie Salem Fabrizio Andreelli Eugeni Belda Julius Kieswich Kanta Chechi Francesc Puig‐Castellví Mickaël Chevalier Emmanuelle Le Chatelier Michael Olanipekun Lesley Hoyles Renato Alves Gérard Helft Richard Isnard Lars Køber Luís Pedro Coelho Christine Rouault Dominique Gauguier Jens Peter Gøtze Edi Prifti Philippe Froguel Rohia Alili Ehm Astrid Andersson Galijatovic Olivier Barthélemy Jean‐Philippe Bastard Jean-Paul Batisse Pierre Bel-Lassen Magali Berland Randa Bittar Hervé M. Blottière F Bosquet Rachid Boubrit Olivier Bourron Mickaël Camus Cécile Ciangura Jean‐Philippe Collet Arne Dietrich Morad Djebbar Angélique Doré Line Engelbrechtsen Léopold Fezeu Sébastien Fromentin Nicolas Pons Marianne Graine Caroline Grünemann Agnès Hartemann Bolette Hartmann Malene Hornbak Sophie Jaqueminet Niklas Rye Jørgensen Hanna Julienne Johanne Marie Justesen Judith Kammer Nikolaj Karup Ruby Kozlowski Michael Kuhn Véronique Lejard Ivica Letunić Florence Levenez Lajos Markó Laura Martinez‐Gili Robin Massey Nicolas Maziers Lucas Moitinho‐Silva Gilles Montalescot Ana Luísa Neves Laetitia Pasero Le Pavin Françoise Pousset Andrea Rodriguez‐Martinez Sebastien Schmidt Tatjana Schütz Lucas F. M. da Silva Johanne Silvain Mathilde Svendstrup T.D. Swartz Thierry Vanduyvenboden Eric O. Verger Stefanie Walther Jean‐Daniel Zucker Fredrik Bäckhed Henrik Vestergaard Torben Hansen Jean‐Michel Oppert Matthias Blüher Jens Nielsen Jeroen Raes Peer Bork Muhammad M. Yaqoob Michael Stümvoll Oluf Pedersen

The host-microbiota co-metabolite trimethylamine N-oxide (TMAO) is linked to increased cardiovascular risk but how its circulating levels are regulated remains unclear. We applied "explainable" machine learning, univariate, multivariate and mediation analyses of fasting plasma TMAO concentration a multitude phenotypes in 1,741 adult Europeans the MetaCardis study. Here we show that next age, kidney function primary variable predicting TMAO, with microbiota composition diet playing minor,...

10.1038/s41467-023-39824-4 article EN cc-by Nature Communications 2023-09-20

The human microbiome and its metabolic output play an important role in shaping health disease. host-microbe crosstalk is often characterised using metabolomics metagenomics, yet a large proportion of microbial metabolites the molecular functions gut microbes remain unknown. This review summarises strategies for annotation discovery novel from microbiome, either alone or combination with presents data analysis methods combining these two types to obtain biological insights. Applications...

10.1016/j.trac.2023.117248 article EN cc-by TrAC Trends in Analytical Chemistry 2023-08-21

Abstract Disruption of specific metabolic pathways constitutes the mode action many known toxicants and it is responsible for adverse phenotypes associated to human genetic defects. Conversely, industrial applications rely on alterations diverse microorganisms, whereas therapeutic drugs aim selectively disrupt pathogens’ metabolism. In this work we analyzed changes induced by auxotrophic starvation conditions in yeast a non-targeted approach, using one-dimensional proton Nuclear Magnetic...

10.1038/srep30982 article EN cc-by Scientific Reports 2016-08-03

Anaerobic digestion (AD) is used to minimize solid waste while producing biogas by the action of microorganisms. To give an insight into underlying microbial dynamics in anaerobic digesters, we investigated two different AD systems (wastewater sludge mixed with either fish or grass waste). The activity was characterized 16S RNA sequencing. data sparse and dispersed, existent analysis methods do not take account this complexity nor potential interactions. In line, proposed a pre-processing...

10.1371/journal.pone.0232324 article EN cc-by PLoS ONE 2020-05-01

Abstract Exposure to acrylamide may lead different neurotoxic effects in humans and experimental animals. To gain insights into this poorly understood type of neurotoxicological damage, we used a multi-omic approach characterize the molecular changes occurring zebrafish brain exposed at metabolite, transcript protein levels. We detected formation adducts with thiol groups from both metabolites residues, leading quasi-complete depletion glutathione inactivation components thioredoxin system....

10.1038/s41598-019-57142-y article EN cc-by Scientific Reports 2020-01-15

Abstract Dynamic combinatorial libraries (DCLs) are excellent benchmark models to study the stimuli‐responsiveness of chemical networks. However, increasingly complex systems difficult analyze with simple data analysis methods, because many variables and connections must be considered for their full understanding. Here we propose use multivariate methods bisect evolution a synthetic dynamic library pseudopeptidic macrocycles, containing side chains charges different sign. Several stimuli...

10.1002/chem.201701294 article EN Chemistry - A European Journal 2017-05-08

Anaerobic digestion (AD) is a promising biological process that converts waste into sustainable energy. To fully exploit AD's capability, we need to deepen our knowledge of the microbiota involved in this complex bioprocess. High-throughput methodologies open new perspectives investigate AD at molecular level, supported by recent data integration extract relevant information. In study, investigated link between microbial activity and substrate degradation lab-scale anaerobic codigestion...

10.1021/acs.jproteome.0c00251 article EN Journal of Proteome Research 2020-08-31

We propose an approach to efficiently compress and denoise multidimensional NMR spectral data, improving their corresponding storage, handling, analysis. This method has been tested with 2D homonuclear, 3D heteronuclear, phase-sensitive data shown be especially powerful for metabolomics studies.

10.1039/c7cc09891j article EN Chemical Communications 2018-01-01

In nuclear magnetic resonance (NMR) metabolomics, most of the studies have been focused on analysis one-dimensional proton (1D 1H) NMR, whereas other nuclei, such as 13C, or NMR experiments are still underrepresented. The preference 1D 1H metabolomics lies fact that it has good sensitivity and a short acquisition time, but lacks spectral resolution because presents high degree overlap. this study, growth metabolism yeast (Saccharomyces cerevisiae) was analyzed by two-dimensional (2D) 1H–13C...

10.1021/acs.analchem.8b01196 article EN Analytical Chemistry 2018-10-15

Temperature is one of the most critical parameters for yeast growth, and it has deep consequences in many industrial processes where involved. Nevertheless, metabolic changes required to accommodate cells at high or low temperatures are still poorly understood. In this work, ultimate responses these induced transcriptomic effects have been examined using metabolomics-derived strategies. The metabolome lipidome characterized by 1D proton nuclear magnetic resonance spectroscopy...

10.1021/acs.jproteome.7b00921 article EN Journal of Proteome Research 2018-04-30

Abstract Invited for the cover of this issue is group Ignacio Alfonso at IQAC‐CSIC in Barcelona (Spain). Read full text article 10.1002/chem.201701294 .

10.1002/chem.201702442 article EN Chemistry - A European Journal 2017-06-12

Abstract Objectives The host-microbiota co-metabolite trimethylamine N -oxide (TMAO) is linked to increased thrombotic and cardiovascular risks. Here we, sought i) characterize which host variables contribute fasting serum TMAO levels in real-life settings ii) identify potential actionable therapeutic means related circulating TMAO. Design We applied “explainable” machine learning, univariate-, multivariate- mediation analyses of plasma concentration a multitude bioclinical phenotypes 1,741...

10.1101/2022.11.08.22282073 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-11-08

Abstract Individual lifestyle factors moderately impact the gut microbiome and host biology. This study explores whether their combined influence significantly alters determines mediating role of in links between phenomes. Analyzing 1,643 individuals from Metacardis European study, we created a non-exhaustive composite score (QASD score) incorporating diet quality diversity, physical activity smoking. shows higher explanatory power for composition variation compared to individual variables....

10.1101/2024.01.12.24301195 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2024-01-13
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