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Jacobsen, L.

Publications and source records attributed to Jacobsen, L..

2 recordsLinked to original sources

The ATP-bound State of the Uncoupling Protein 1 (UCP1) from Molecular Simulations

The uncoupling protein 1 (UCP1) dissipates the transmembrane (TM) proton gradient in the inner mitochondrial membrane (IMM) by leaking protons across the membrane, producing heat in the process. Such non-shivering production of heat in brown adipose tissue can combat obesity-related diseases. UCP1 associated proton leak is activated by free fatty acids and inhibited by purine nucleotides. The mechanism of proton leak remains unknown, in part due to the unavailability of high-resolution structures of the protein. As a result, the binding site of the activators (fatty acids) and inhibitors (nucleotides) is unknown. Using molecular dynamics simulations, we generate a conformational ensemble of UCP1. Using Metadynamics-based free energy calculations, we converge on the most likely ATP-bound conformation of UCP1. Our conformational ensemble provides a molecular basis of a breadth of prior biochemical data available for UCP1. Based on the simulations, we make the following testable predictions about the mechanisms of activation of proton leak and proton leak inhibition by ATP: (1) R277 plays the dual role of stabilising ATP at the binding site for inhibition, and acting as a proton surrogate for D28 in the absence of a proton during proton transport (2) the binding of ATP to UCP1 is mediated by residues R84, R92, R183, and S88 (3) R92 shuttles ATP from the E191-R92 gate in the inter-membrane space to the nucleotide binding site, and serves to increase ATP affinity (4) ATP can inhibit proton leak by controlling the ionisation states of matrix facing lysine residues such as K269 and K56 and (5) fatty acids can bind to UCP1 from the IMM either via the cavity between TM1 and TM2 or between TM5 and TM6. Our simulations set the platform for future investigations into the proton transport and inhibition mechanisms of UCP1.

biophysics↗

Human immune phenotyping reveals accelerated aging in type 1 diabetes

The composition of immune cells in peripheral blood is dramatically remodeled throughout the human lifespan, as environmental exposures shape the proportion and phenotype of cellular subsets. These dynamic shifts complicate efforts to identify disease-associated immune signatures in type 1 diabetes (T1D), which is variable in age of onset and rate of {beta}-cell decline. Herein, we conducted standardized flow cytometric immune profiling on peripheral blood from a cross-sectional cohort of T1D participants (n=240), their first-degree relatives (REL, n=310), those at increased risk with two or more islet autoantibodies (RSK, n=24), and autoantibody negative healthy controls (CTR, n=252). We constructed an immune-age predictive model in healthy subjects and developed an interactive data visualization portal (ImmScape; https://ufdiabetes.shinyapps.io/ImmScape/). When applied to the T1D cohort, this model revealed accelerated immune aging (p<0.001) as well as phenotypic signatures of disease after age correction. Of 192 investigated flow cytometry and complete blood count readouts, 46 were significantly associated with age only, 25 with T1D only, and 23 with both age and T1D. Phenotypes associated with T1D after age-correction were predictive of T1D status (AUROC=82.3%). Phenotypes associated with accelerated aging in T1D included increased CXCR3+ and PD-1+ frequencies in naive and memory T cell subsets, despite reduced PD-1 expression levels (mean fluorescence intensity) on memory T cells. Additionally, quantitative trait locus analysis linked an increase in HLA-DR expression on monocytes with the T1D-associated HLA-DR4/DQ8 genotype, regardless of clinical group. Our findings demonstrate advanced immune aging in T1D and highlight disease-associated phenotypes for biomarker monitoring and therapeutic interventions. One Sentence SummaryPeripheral blood characterization reveals accelerated immune-age and age-adjusted proinflammatory immune phenotypes in type 1 diabetes.

immunology↗