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Bourguignon, L.

Publications and source records attributed to Bourguignon, L..

3 recordsLinked to original sources

Fatty acid metabolism and dietary lipid composition shape B-cell responses

B-cell activation requires extensive metabolic reprogramming, yet how B cells acquire and utilize extracellular fatty acids and adapt to changes in lipid availability remains poorly understood. Here, we show that B-cell activation and the extracellular lipid environment dynamically regulate B cells. B-cell receptor (BCR) and Toll-like receptor 4 (TLR4) stimulation induced distinct mitochondrial and lipid-handling programs, differentially regulating fatty-acid uptake, cholesterol acquisition, lipid storage and mitochondrial respiration. Disrupting long-chain fatty-acid uptake, acyl-CoA activation, or mitochondrial utilisation impaired B-cell proliferation, demonstrating that multiple steps of fatty-acid metabolism are required for B-cell expansion. However, increasing extracellular fatty-acid availability alone did not enhance proliferation, indicating that fatty-acid acquisition and metabolic utilisation are functionally distinct. B cells also acquired fatty acids directly from adipocytes, identifying the local microenvironment as a potential source of metabolic substrates. In vivo, dietary fatty-acid chain length differentially shaped the germinal-centre response. A long-chain fatty-acid-rich diet increased germinal-centre B cells and T follicular helper cells and induced mitochondrial and transcriptional changes that partially converged with those observed following obesogenic feeding. Circulating lipidomics further revealed shared remodelling of lipid species between long-chain fatty-acid-rich and obesogenic diets, including altered partitioning of stearate-containing lipids. Exogenous fatty acids also modified membrane order in activated B cells, suggesting that lipid availability can influence both metabolic and biophysical properties. Together, these findings establish fatty-acid uptake, activation, and utilization as integral components of B-cell metabolic adaptation and demonstrate that dietary fatty-acid composition can remodel the lipid environment and germinal-centre response.

immunology↗

Saturated fatty acid chain length shapes B cell lymphoma metabolism and progression

B-cell lymphomas reprogram cellular metabolism to sustain their rapid growth and proliferation. Despite their close proximity to adipose tissue and the paradoxical association between obesity and improved lymphoma outcomes, how fatty-acid availability and dietary fat composition influence B-cell lymphoma remains poorly understood. Importantly, saturated fatty acids of different chain lengths have distinct routes of cellular uptake and metabolic fates and may therefore exert divergent effects on tumour growth. Here, we investigated how medium-chain and long-chain saturated fatty acids, their dietary availability, and their transfer from adipocytes shape B-cell lymphoma metabolism and progression. We found that B-cell lymphoma cells were dependent on fatty-acid uptake, activation, and utilization for proliferation. Additionally, we identified adipocytes as microenvironmental players that transfer fatty acids and suppress cell growth. Interestingly, in most B-cell lymphomas, exogenous palmitate limits lymphoma cell proliferation, while MCFA caprylic acid showed only mild effects. Using a syngeneic B-cell lymphoma orthotopic model, we found that an MCFA-rich diet increased lymphoma burden and accelerated lymph-node progression, whereas LCFA-rich and obesogenic diets restricted lymphoma dissemination. Dietary fatty-acid composition also altered T-cell exhaustion and profoundly remodelled the circulating lipidome, with LCFA-rich and obesogenic diets producing highly concordant lipidomic signatures distinct from MCFA feeding. Across B-cell lymphoma cell lines, low ACSL1 expression was associated with increased palmitate sensitivity, which we computationally modelled as a targetable vulnerability in B-cell lymphoma treatment. Taken together, our results show that lipid metabolism is a metabolic vulnerability that can be targeted through dietary intervention.

cancer biology↗

SIMBSIG: Similarity search and clustering for biobank-scale data

SummaryIn many modern bioinformatics applications, such as statistical genetics, or single-cell analysis, one frequently encounters datasets which are orders of magnitude too large for conventional in-memory analysis. To tackle this challenge, we introduce SIMBSIG, a highly scalable Python package which provides a scikit-learn-like interface for out-of-core, GPU-enabled similarity searches, principal component analysis, and clustering. Due to the PyTorch backend it is highly modular and particularly tailored to many data types with a particular focus on biobank data analysis. AvailabilitySIMBSIG is freely available from PyPI and its source code and documentation can be found on GitHub (https://github.com/BorgwardtLab/simbsig) under a BSD-3 license. Contactmichael.adamer@bsse.ethz.ch

bioinformatics↗