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Williams, A. T.

Publications and source records attributed to Williams, A. T..

2 recordsLinked to original sources

In vivo itaconate tracing reveals degradation pathway and turnover kinetics

Itaconate is an immunomodulatory metabolite that alters mitochondrial metabolism and immune cell function. This organic acid is endogenously synthesized via tricarboxylic acid (TCA) metabolism downstream of TLR signaling. Itaconate-based treatment strategies are being explored to mitigate numerous inflammatory conditions. However, little is known about the turnover rate of itaconate in circulation, the kinetics of its degradation, and the broader consequences on metabolism. By combining mass spectrometry and in vivo 13C itaconate tracing, we demonstrate that itaconate is rapidly eliminated from plasma, excreted via urine, and fuels TCA cycle metabolism specifically in the liver and kidneys. These studies further revealed that itaconate is converted into acetyl-CoA, mesaconate, and citramalate in mitochondria. Itaconate administration also influenced branched-chain amino acid metabolism and succinate levels, indicating a functional impact on succinate dehydrogenase (SDH) and methylmalonyl-CoA mutase (MUT) activity. Our findings uncovered a previously unknown aspect of the itaconate metabolism, highlighting its rapid catabolism in vivo that contrasts findings in cultured cells.

cell biology↗

Cohort Profile: Extended Cohort for E-health, Environment and DNA (EXCEED)

EXCEED is a longitudinal population-based cohort which facilitates investigation of genetic, environmental and lifestyle-related determinants of a broad range of diseases and of multiple morbidity through data collected at baseline and via electronic healthcare record linkage. Recruitment has taken place in Leicester, Leicestershire and Rutland since 2013 and is ongoing, with 10 156 participants aged 30-69 to date. The population of Leicester is diverse and additional recruitment from the local South Asian community is ongoing. Participants have consented to follow-up for up to 25 years through electronic health records (EHR). Data available includes baseline demographics, anthropometry, spirometry, lifestyle factors (smoking and alcohol use) and longitudinal health information from primary care records, with additional linkage to other EHR datasets planned. Patients have consented to be contacted for recall-by-genotype and recall-by-phenotype sub-studies, providing an important resource for precision medicine research. We welcome requests for collaboration and data access by contacting the study management team via exceed@le.ac.uk.

epidemiology↗