Biology subjects

Dearlove, B.

Publications and source records attributed to Dearlove, B..

3 recordsLinked to original sources

bioRxiv2026

Gut-derived ammonia modulates hypothalamic stress responses during viral infection

The gut-brain axis integrates microbial and host metabolism to regulate systemic physiology, yet its role during viral infection remains poorly defined. Viral infection induces behavioral changes and neuroendocrine stress responses accompanied by profound alterations in gut microbial metabolism. Here, we show that chronic viral infection in mice increases systemic levels of microbiota-derived ammonia in a CD8 T cell-dependent manner. Increased ammonia accumulates in the brain and selectively activates neurons within the paraventricular hypothalamus (PVH), driving corticosterone release into the circulation. Pharmacological inhibition of ammonia detoxification exacerbates these effects, leading to increased corticosterone levels, aggravated sickness behavior, and dampened antiviral responses. Together, these findings identify gut-derived ammonia as a previously unrecognized immunometabolic signal linking antiviral T cell responses to hypothalamic control of systemic stress during viral infection. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=186 SRC="FIGDIR/small/736796v1_ufig1.gif" ALT="Figure 1"> View larger version (59K): org.highwire.dtl.DTLVardef@1291dbcorg.highwire.dtl.DTLVardef@5f223corg.highwire.dtl.DTLVardef@1c0aafaorg.highwire.dtl.DTLVardef@190502_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

CD8+ T cells regulate the bioenergetic reprogramming of lymphoid organs and the heart during viral infection

The activation of the immune system is a bioenergetically-costly process1. Yet, essential bodily functions require a continuous energy supply, imposing energy constraints and trade-offs between competing processes2. Our understanding of the underlying bioenergetic adaptations reconciling rapid immune activation with other vital processes remains scarce. 3-6 Here, by using experimental models of viral infections, we identified an unexpected CD8+ T cell-driven redistribution of energy substrates between lymphoid organs and the heart. Viral infection promoted systemic hypoglycaemia and ketogenesis, together with systemic reallocation of energy substrates. Across organs analysed, secondary lymphoid organs and the heart showed the most dramatic changes. The former increased glucose uptake and oxidation while the heart showed the opposite, switching to preferential fatty acid utilization. These bioenergetic adaptations were absent in infected mice lacking CD8+ T cells or with T cells lacking the glucose transporter GLUT1. Pharmacological inhibition of fatty acid oxidation forced a systemic switch to glucose oxidation. This was associated with metabolic decompensation, reduced cardiac energetics, left ventricular stress, and mortality in otherwise nonlethal viral infections. Our results reveal how the energetic cost of immune cell activation imposes bioenergetic adaptations on non-lymphoid organs, posing a major challenge for the heart by completely relying on fatty acids.

immunology↗

bioRxiv2016

Biased phylodynamic inferences from analysing clusters of viral sequences

Phylogenetic methods are being increasingly used to help understand the transmission dynamics of measurably evolving viruses, including HIV. Clusters of highly similar sequences are often observed, which appear to follow a power law behaviour, with a small number of very large clusters. These clusters may help to identify subpopulations in an epidemic, and inform where intervention strategies should be implemented. However, clustering of samples does not necessarily imply the presence of a subpopulation with high transmission rates, as groups of closely related viruses can also occur due to non-epidemiological effects such as over-sampling. It is important to ensure that observed phylogenetic clustering reflects true heterogeneity in the transmitting population, and is not being driven by non-epidemiological effects.\n\nWe quantify the effect of using a falsely identified transmission cluster of sequences to estimate phylodynamic parameters including the effective population size and exponential growth rate. Our simulation studies show that taking the maximum size cluster to re-estimate parameters from trees simulated under a randomly mixing, constant population size coalescent process systematically underestimates the overall effective population size. In addition, the transmission cluster wrongly resembles an exponential or logistic growth model 95% of the time. We also illustrate the consequences of false clusters in exponentially growing coalescent and birth-death trees, where again, the growth rate is skewed upwards. This has clear implications for identifying clusters in large viral databases, where a false cluster could result in wasted intervention resources.

genetics↗