Fatty acid oxidation disorders (FAOD) are inborn errors of metabolism that occur due to deficiency of specific enzyme activities and transporter proteins involved in the mitochondrial metabolism of fatty acids, causing a deficiency in ATP production. The identification of suitable biomarkers plays a crucial role in predicting the future risk of disease and monitoring responses to therapies. Acyl-CoAs are directly involved in the steps of fatty acid oxidation and are the primary biomarkers associated with FAOD. However, acyl-CoAs are not used as diagnostic biomarkers in hospitals and clinics as they are present intracellularly with low endogenous levels. Additionally, the analytical method development of acyl-CoAs is quite challenging due to diverse physicochemical properties and instability. Hence, secondary biomarkers such as acylcarnitines are used for the identification of FAOD. In this review, the focus is on the analytical techniques that have evolved over the years for the identification and quantitation of acyl-CoAs. Among these techniques, liquid chromatography-mass spectrometry clearly has an advantage in terms of sensitivity and selectivity. Stable isotope labeling by essential nutrients in cell culture (SILEC) enables the generation of labeled internal standards. Each acyl-CoA species has a distinct pattern of instability and degradation, and the use of appropriately matched internal standards can compensate for such issues. Although significant progress has been made in measuring acyl-CoAs, more efforts are needed for bringing these technical advancements to hospitals and clinics. This review also highlights the difficulties involved in the routine use of acyl-CoAs as a diagnostic biomarker and some of the measures that can be adopted by clinics and hospitals for overcoming these limitations.
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http://dx.doi.org/10.1016/j.ymgme.2023.107711 | DOI Listing |
Scand J Gastroenterol
January 2025
Norwegian PSC Research Centre, Department of Transplantation Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Objectives: Indications of mitochondrial dysfunction are commonly seen in liver diseases, but data are scarce in primary sclerosing cholangitis (PSC). Analyzing circulating and liver-resident molecules indirectly reflecting mitochondrial dysfunction, we aimed to comprehensively characterize this deficit in PSC, and whether this was PSC specific or associated with cholestasis.
Materials And Methods: We retrospectively included plasma from 191 non-transplant patients with large-duct PSC and 100 healthy controls and explanted liver tissue extracts from 24 PSC patients and 18 non-cholestatic liver disease controls.
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFBiosci Microbiota Food Health
August 2024
Department of Gastroenterology, Hematology and Clinical immunology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki-shi, Aomori 036-8562, Japan.
The beneficial effects of water-soluble dietary fiber on liver fat and fibrosis involve the gut microbiota; however, few epidemiological studies have investigated this association. This large-scale epidemiological study aimed to determine the effect of water-soluble dietary fiber intake on liver fat and fibrosis via gut microbiota for the general population. We divided low- and high-intake groups by median daily water-soluble dietary fiber intake and matched background factors by propensity score matching for sex and age.
View Article and Find Full Text PDFFront Vet Sci
December 2024
Zhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, China.
Introduction: Rumen-protected fat (RPF) is a vital dietary energy source for dairy cows. However, the influences of RPF on rumen volatile fatty acid (VFA) content and bacterial communities in goats are poorly documented.
Methods: In this study, 12 castrated male goats (body weight [BW]: 13.
Background: The activation of brown adipose tissue (BAT) is associated with improved metabolic health in humans. We previously identified the mitochondrial protein 4-Nitrophenylphosphatase Domain and Non-Neuronal SNAP25-Like 1 (Nipsnap1) as a novel regulatory factor that integrates with lipid metabolism and is critical to sustain the long-term activation of BAT, but the precise mechanism and function of Nipsnap1 is unknown.
Objectives: Define how the regulatory factor Nipsnap1 integrates with lipid metabolism.
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