Comput Struct Biotechnol J. 2024 Dec;23 2163-2172
Weerawan Manokasemsan,
Narumol Jariyasopit,
Patcha Poungsombat,
Khwanta Kaewnarin,
Kwanjeera Wanichthanarak,
Alongkorn Kurilung,
Kassaporn Duangkumpha,
Suphitcha Limjiasahapong,
Yotsawat Pomyen,
Roongruedee Chaiteerakij,
Rossarin Tansawat,
Chatchawan Srisawat,
Yongyut Sirivatanauksorn,
Vorapan Sirivatanauksorn,
Sakda Khoomrung.
Short-chain fatty acids (SCFAs) are involved in important physiological processes such as gut health and immune response, and changes in SCFA levels can be indicative of disease. Despite the importance of SCFAs in human health and disease, reference values for fecal and plasma SCFA concentrations in healthy individuals are scarce. To address this gap in current knowledge, we developed a simple and reliable derivatization-free GC-TOFMS method for quantifying fecal and plasma SCFAs in healthy individuals. We targeted six linear- and seven branched-SCFAs, obtaining method recoveries of 73-88% and 83-134% in fecal and plasma matrices, respectively. The developed methods are simpler, faster, and more sensitive than previously published methods and are well suited for large-scale studies. Analysis of samples from 157 medically confirmed healthy individuals showed that the total SCFAs in the feces and plasma were 34.1 ± 15.3 µmol/g and 60.0 ± 45.9 µM, respectively. In fecal samples, acetic acid (Ace), propionic acid (Pro), and butanoic acid (But) were all significant, collectively accounting for 89% of the total SCFAs, whereas the only major SCFA in plasma samples was Ace, constituting of 93% of the total plasma SCFAs. There were no statistically significant differences in the total fecal and plasma SCFA concentrations between sexes or among age groups. The data revealed, however, a positive correlation for several nutrients, such as carbohydrate, fat, iron from vegetables, and water, to most of the targeted SCFAs. This is the first large-scale study to report SCFA reference intervals in the plasma and feces of healthy individuals, and thereby delivers valuable data for microbiome, metabolomics, and biomarker research.
Keywords: Feces; Gas chromatography-mass spectrometry; Gut microbial metabolite; Plasma; Quantitative analysis; Short-Chain Fatty Acids