Publications

What is a Publication?
3 Publications visible to you, out of a total of 3

Abstract (Expand)

Coenzyme A (CoA) is a vital cofactor involved in 8–10% of all metabolic reactions in human cells. Different inherited enzyme deficiencies in which the oxidation of acyl‐CoAs is hampered have been hypothesised to share a phenotype characterised by toxic accumulation of acyl‐CoA and a concomitant decline in free CoA (CoASH) levels, whereby CoASH becomes limiting for other metabolic reactions. This is referred to as CoASH sequestration. There is, however, limited experimental evidence for this hypothesis. Using a combination of approaches, we test this hypothesis in medium‐chain acyl‐CoA dehydrogenase deficiency (MCADD), the most common deficiency of mitochondrial fatty acid oxidation (mFAO), under energetic stress. Both in vitro MCAD‐knockout (KO) HepG2 cells and a kinetic model of mFAO showed decreased CoASH, elevated medium‐chain acyl‐CoA, and decreased long‐chain acyl‐CoA levels. MCAD‐KO mice exposed to fasting and cold as energetic stressors had a significantly increased total CoA pool and increased expression of CoA biosynthetic enzymes in the liver, indicative of an upregulated CoA biosynthesis. Expression of carnitine acyltransferases and acyl‐CoA thioesterases, enzymes that liberate CoASH from acyl‐CoAs, was also upregulated, suggesting an adaptive response of CoA metabolism to decreased CoASH. Finally, computational model simulations showed that a combination of elevated total CoA and thioesterase activity led to normalisation of both CoASH and medium‐chain acyl‐CoA levels. Together, the results provide the first evidence for the CoA sequestration hypothesis in MCADD. The observed adaptation of CoA metabolism under energetic stress may act as a compensatory response that counteracts CoASH depletion and accumulation of toxic medium‐chain acyl‐CoAs.

Authors: Ligia Akemi Kiyuna, Christoff Odendaal, Madhulika Singh, Albert Gerding, Miriam Langelaar‐Makkinje, Marianne van der Zwaag, Asmara Drachman, Vladimíra Cetkovská, Gaby Liem Foeng Kioen, Anne‐Claire M. F. Martines, Nicolette C. A. Huijkman, Hein Schepers, Bart van de Sluis, Dirk‐Jan Reijngoud, Ody C. M. Sibon, Amy C. Harms, Thomas Hankemeier, Barbara M. Bakker

Date Published: 7th Feb 2026

Publication Type: Journal Article

Abstract (Expand)

Acyl-CoAs play a significant role in numerous physiological and metabolic processes making it important to assess their concentration levels for evaluating metabolic health. Considering the important role of acyl-CoAs, it is crucial to develop an analytical method that can analyze these compounds. Due to the structural variations of acyl-CoAs, multiple analytical methods are often required for comprehensive analysis of these compounds, which increases complexity and the analysis time. In this study, we have developed a method using a zwitterionic HILIC column that enables the coverage of free CoA and short- to long-chain acyl-CoA species in one analytical run. Initially, we developed the method on a QTOF instrument for the identification of acyl-CoA species, optimizing their chromatography and retention times. Later, a targeted HILIC-MS/MS method was created in scheduled multiple reaction monitoring mode on a QTRAP instrument. The performance of the method was evaluated based on various parameters such as linearity, precision, recovery and matrix effect. This method was applied to identify the difference in acyl-CoA profiles in HepG2 cells cultured in different conditions. Our findings revealed an increase in levels of acetyl-CoA, medium- and long-chain acyl-CoA while a decrease in the profiles of free CoA in the starved state, indicating a clear alteration in the fatty acid oxidation process.

Authors: Madhulika Singh, Ligia Akemi Kiyuna, Christoff Odendaal, Barbara M. Bakker, Amy C Harms, Thomas Hankemeier

Date Published: 11th Sep 2023

Publication Type: Journal Article

Abstract (Expand)

BACKGROUND: Monogenetic inborn errors of metabolism cause a wide phenotypic heterogeneity that may even differ between family members carrying the same genetic variant. Computational modelling of metabolic networks may identify putative sources of this inter-patient heterogeneity. Here, we mainly focus on medium-chain acyl-CoA dehydrogenase deficiency (MCADD), the most common inborn error of the mitochondrial fatty acid oxidation (mFAO). It is an enigma why some MCADD patients-if untreated-are at risk to develop severe metabolic decompensations, whereas others remain asymptomatic throughout life. We hypothesised that an ability to maintain an increased free mitochondrial CoA (CoASH) and pathway flux might distinguish asymptomatic from symptomatic patients. RESULTS: We built and experimentally validated, for the first time, a kinetic model of the human liver mFAO. Metabolites were partitioned according to their water solubility between the bulk aqueous matrix and the inner membrane. Enzymes are also either membrane-bound or in the matrix. This metabolite partitioning is a novel model attribute and improved predictions. MCADD substantially reduced pathway flux and CoASH, the latter due to the sequestration of CoA as medium-chain acyl-CoA esters. Analysis of urine from MCADD patients obtained during a metabolic decompensation showed an accumulation of medium- and short-chain acylcarnitines, just like the acyl-CoA pool in the MCADD model. The model suggested some rescues that increased flux and CoASH, notably increasing short-chain acyl-CoA dehydrogenase (SCAD) levels. Proteome analysis of MCADD patient-derived fibroblasts indeed revealed elevated levels of SCAD in a patient with a clinically asymptomatic state. This is a rescue for MCADD that has not been explored before. Personalised models based on these proteomics data confirmed an increased pathway flux and CoASH in the model of an asymptomatic patient compared to those of symptomatic MCADD patients. CONCLUSIONS: We present a detailed, validated kinetic model of mFAO in human liver, with solubility-dependent metabolite partitioning. Personalised modelling of individual patients provides a novel explanation for phenotypic heterogeneity among MCADD patients. Further development of personalised metabolic models is a promising direction to improve individualised risk assessment, management and monitoring for inborn errors of metabolism.

Authors: C. Odendaal, E. A. Jager, A. M. F. Martines, M. A. Vieira-Lara, N. C. A. Huijkman, L. A. Kiyuna, A. Gerding, J. C. Wolters, R. Heiner-Fokkema, K. van Eunen, T. G. J. Derks, B. M. Bakker

Date Published: 4th Sep 2023

Publication Type: Journal Article

Powered by
(v.1.17.4)
Copyright © 2008 - 2026 The University of Manchester and HITS gGmbH