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Capan, C. D.

Publications and source records attributed to Capan, C. D..

4 recordsLinked to original sources

Seed structure and phosphorylation in the fuzzy coat impact tau seeding competency

Tau is a pathogenic protein in Alzheimers (AD) and other neurodegenerative diseases. The misfolding of tau into {beta}-sheet rich elongated filaments is thought to be a key event in disease pathogenesis, followed by subsequent templated recruitment of monomeric tau into this pathogenic form. Cryo-electron microscopy has revealed that specific tau conformations characterize different diseases. In this study, we explored how tau filament core structure and post-translational modifications in its disordered fuzzy coat influence its seeding capacity in primary neurons and mice. We show that the structure of the seeds affects seeding capacity, but that the AD tau core structure alone is insufficient to capture the full seeding capacity of AD tau. Proteolytic cleavage of AD tau which removes the fuzzy coat causes a loss in seeding capacity, as does removal of phosphorylation from the fuzzy coat by phosphatase treatment. Re-phosphorylation of phosphatase-treated AD tau by kinase treatment partially restores seeding activity. Finally, we find that filaments of recombinant tau with twelve phospho-mimetic residues (PAD12 tau) with the AD fold are able to recapitulate the seeding capacity of AD tau. Combined, these results suggest that the structure of the ordered core, together with phosphorylation in the fuzzy coat, confers the seeding capacity of tau filaments.

neuroscience↗

Glucose-dependent glycosphingolipid biosynthesis fuels CD8+ T cell function and tumor control

Glucose is essential for T cell proliferation and function, yet its specific metabolic roles in vivo remain poorly defined. Here, we identify glycosphingolipid (GSL) biosynthesis as a key pathway fueled by glucose that enables CD8+ T cell expansion and cytotoxic function in vivo. Using 13C-based stable isotope tracing, we demonstrate that CD8+ effector T cells use glucose to synthesize uridine diphosphate-glucose (UDP-Glc), a precursor for glycogen, glycan, and GSL biosynthesis. Inhibiting GSL production by targeting the enzymes UGP2 or UGCG impairs CD8+ T cell expansion and cytolytic activity without affecting glucose-dependent energy production. Mechanistically, we show that glucose-dependent GSL biosynthesis is required for plasma membrane lipid raft integrity and aggregation following TCR stimulation. Moreover, UGCG-deficient CD8+ T cells display reduced granzyme expression and tumor control in vivo. Together, our data establish GSL biosynthesis as a critical metabolic fate of glucose--independent of energy production--required for CD8+ T cell responses in vivo.

immunology↗

A diverse proteome is present and enzymatically active in metabolite extracts

Metabolomics, a foundational tool in metabolism research, relies on the accurate transmittal of biochemical profiles underlying biological phenotypes. Over the years, workflows used in metabolomics have been assumed to remove enzymes to preserve metabolite levels during processing. Here, we uncover a diverse landscape of over 1,000 proteins, strongly enriched for metabolic enzymes, within metabolite extracts generated using common extraction workflows. Moreover, by combining in-extract stable isotope additions and enzyme inhibitors, we demonstrate transaminase activity, which is preventable by protein removal by 3 kDa filtration. We extend these findings to untargeted metabolomics, revealing that both post-extraction formation of glutamate dipeptide and depletion of total glutathione can also be prevented by removing proteins. Finally, we present a simple yet novel workflow that integrates passive filtration for protein removal of crude metabolite extracts as a superior method for broad-coverage metabolomics. Our findings have broad-reaching experimental implications across all fields that use metabolomics and molecular metabolism, especially cancer, immunology, and diabetes research.

biochemistry↗

Increased levels of circulating neurotoxic metabolites in patients with mild Covid19

SARS-CoV-2 corona virus causes a multi-faceted and poorly defined clinical and pathological phenotype involving hyperinflammation, cytokine release, and long-term cognitive deficits, with an undefined neuropathological mechanism. Inflammation increases the activity of the kynurenine pathway, which is linked to neurodegenerative and psychiatric disorders. We sought to determine whether the kynurenine pathway is impacted in patients with mild COVID-19, leading to elevated neurotoxic metabolites in blood, and whether such changes are associated with pro-inflammatory cytokines. Serum samples were taken from 150 patients and analyzed by ELISA and ultra-high performance liquid chromatography (UHPLC). The data were analyzed using multiple linear regression models adjusted for age and sex. We found increased levels of kynurenine, quinolinic acid and 3-hydroxykynurenine in serum from patients with mild COVID-19, together with increased levels of IL-6, ICAM-1, VCAM-1 and neopterin. The levels of neurotoxic metabolites were significantly associated with key inflammatory cytokines including IL-6 and TNF. The COVID-19 risk-factor hypertension was associated with the highest levels of neurotoxic metabolites in plasma. These neuroactive metabolites could be part of the pathological mechanisms underlying cognitive impairment during and post-COVID and should be explored as potential biomarkers for long-COVID symptoms.

neuroscience↗