Publication

Metabolic Networks of Longevity

Related publications (30)

Optimality principles for the analysis of biological processes across scales: From enzyme kinetics to microbiome dynamics

Microorganisms are essential for life on Earth, performing key roles in numerous biological processes. Their influence extends across a wide spectrum, from human health and ecological balance to advancements in biotechnology and industrial applications. Th ...

EPFL2024

Reconstruction and analysis of genome-scale metabolic networks in single organisms and microbial communities

Evangelia Vagena

Microorganisms are a key component in the chain of life. They are essential for agriculture, produce a large proportion of oxygen, and play a central role in the cycle of elements. Microorganisms are widely used in the production of food and alcoholic beve ...

EPFL2024

Modeling, analysis, and design of complex biological networks

Mohammadomid Oftadeh

Automating experimental procedures has resulted in an unprecedented increase in the volume of generated data, which, in turn, has caused an accumulation of unprocessed data. As a result, the need to develop tools to analyze data systematically has been ris ...

EPFL2023

Computational tools and resources for designing new pathways to small molecules

Vassily Hatzimanikatis, Anastasia Sveshnikova

The metabolic engineering community relies on computational methods for pathway design to produce important small molecules in microbial hosts. Metabolic network databases are continuously curated and updated with known and novel reactions that expand the ...

CURRENT BIOLOGY LTD2022

Nutritional metabolism and cerebral bioenergetics in Alzheimer's disease and related dementias

Johannes Gräff, Giulia Santoni

Disturbances in the brain's capacity to meet its energy demand increase the risk of synaptic loss, neurodegeneration, and cognitive decline. Nutritional and metabolic interventions that target metabolic pathways combined with diagnostics to identify defici ...

WILEY2023

Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx

Vassily Hatzimanikatis, Jasmin Maria Hafner, Victor Luc Etienne Viterbo, Anastasia Sveshnikova

Metabolic "dark matter" describes currently unknown metabolic processes, which form a blind spot in our general understanding of metabolism and slow down the development of biosynthetic cell factories and naturally derived pharmaceuticals. Mapping the dark ...

Nature Portfolio2022

AMP-activated Protein Kinase (AMPK): New molecular insights and novel downstream targets

Katyayanee Neopane

AMP-activated Protein Kinase (AMPK) is a central regulator of energy homeostasis and a promising drug target for metabolic disorders. It exists as complexes of three subunits, a catalytic alpha, and two regulatory beta and gamma subunits. The regulation of ...

EPFL2022

Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression

Ming Yang, Vassily Hatzimanikatis, Maria Masid Barcon

Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we integrate multimodal analyses of primary and metastatic clonally-related ...

Nature Portfolio2022

Interindividual variability of human thermoregulation: Toward personalized ergonomics of the indoor thermal environment

Dolaana Khovalyg

Objective The study was undertaken to show the magnitude of interindividual differences in energy expenditure (i.e., heat production) under normal living conditions with the aim of providing physiological evidence to support the advancement of a personaliz ...

WILEY2022

Constraint-based metabolic control analysis for rational strain engineering

Ljubisa Miskovic, Vassily Hatzimanikatis, Meriç Ataman, Tuure Eelis Hameri, Sofia Tsouka

The advancements in genome editing techniques over the past years have rekindled interest in rational metabolic engineering strategies. While Metabolic Control Analysis (MCA) is a well-established method for quantifying the effects of metabolic engineering ...

2021

Emergence of diauxie as an optimal growth strategy under resource allocation constraints in cellular metabolism

Vassily Hatzimanikatis, Pierre Guy Rémy Salvy

Diauxie, or the sequential consumption of carbohydrates in bacteria such as Escherichia coli, has been hypothesized to be an evolutionary strategy which allows the organism to maximize its instantaneous specific growth-giving the bacterium a competitive ad ...

National Academy of Sciences2021

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

Vassily Hatzimanikatis, Jasmin Maria Hafner

Motivation: Finding biosynthetic pathways is essential for metabolic engineering of organisms to produce chemicals, biodegradation prediction of pollutants and drugs, and for the elucidation of bioproduction pathways of secondary metabolites. A key step in ...

OXFORD UNIV PRESS2021

Radical-free hyperpolarized MRI using endogenously occurring pyruvate analogues and UV-induced nonpersistent radicals

Rolf Gruetter, Josefina Adriana Maria Bastiaansen, Lionel Pierre Arn, Andrea Capozzi, Hikari Ananda Infinity Yoshihara, Claudia Christina Zanella, Alice Radaelli

It was recently demonstrated that nonpersistent radicals can be generated in frozen solutions of metabolites such as pyruvate by irradiation with UV light, enabling radical-free dissolution dynamic nuclear polarization. Although pyruvate is endogenous, the ...

WILEY2021

Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities

Vassily Hatzimanikatis, Liliana Angeles Martinez

The metabolic capabilities of the species and the local environment shape the microbial interactions in a community either through the exchange of metabolic products or the competition for the resources. Cells are often arranged in close proximity to each ...

2021

Modelling the Intracellular Environment under Uncertainty, from Post-translational Modification to Metabolic Networks

Robin Alexander Denhardt-Eriksson

Modelling and analysis of biological systems is crucial in order to quantitatively explain and predict their behaviour. The importance of modelling in systems biology becomes even more evident when tackling complex, large systems. Approaches that rely on ...

EPFL2021

Genetic, metabolic, and molecular insights into the diverse outcomes of diet-induced obesity in mouse

Alexis Maximilien Bachmann

Overweight and obesity are increasingly common public health issues worldwide, leading to a wide range of diseases from metabolic syndrome to steatohepatitis and cardiovascular diseases. While the increase in the prevalence of obesity is partly attributabl ...

EPFL2021

Pharmacological and genetic perturbation establish SIRT5 as a promising target in breast cancer

Johan Auwerx, Bo Li

SIRT5 is a member of the sirtuin family of NAD(+)-dependent protein lysine deacylases implicated in a variety of physiological processes. SIRT5 removes negatively charged malonyl, succinyl, and glutaryl groups from lysine residues and thereby regulates mul ...

SPRINGERNATURE2021

Nanomechanical bio-sensing for fast and reliable detection of viability and susceptibility of microorganisms

Giovanni Dietler, Raphaël Foschia, Sandor Kasas, María Inés Villalba, Leonardo Venturelli

The metabolic activity of living organisms results in cellular motion on a nanometric scale that can be efficiently detected by micro- and nano- fabricated sensors. Quartz crystal microbalance and atomic force microscopy (AFM) inspired techniques have rece ...

2021

The role and transcriptional regulation of FAM46A in adipocyte differentiation

Ann-Kristin Hov

Obesity is currently a leading global health concern. Treatments include undergoing a weight-loss regimen. However, successful weight-loss is variable, where the heritability of obesity is considered part of the cause. This patient variability to weight-lo ...

EPFL2021

Algorithms and flowchart for the design of synthetic biochemical networks

Homa Mohammadi Peyhani

New drugs are needed to assure effective therapies for previously untreated diseases, emerging diseases, and personalized medicine, but the process of drug development is complex, costly, and time-consuming. This is especially problematic considering that ...

EPFL2020