Dissecting the relationship between plasma and tissue metabolome in a cohort of women with obesity: Analysis of subcutaneous and visceral adipose, muscle, and liver

Abstract

Untargeted metabolomics of blood samples has become widely applied to study metabolic alterations underpinning disease and to identify biomarkers. However, understanding the relevance of a blood metabolite marker can be challenging if it is unknown whether it reflects the concentration in relevant tissues. To explore this field, metabolomic and lipidomic profiles of plasma, four sites of adipose tissues (ATs) from peripheral or central depot, two sites of muscle tissue, and liver tissue from a group of nondiabetic women with obesity who were scheduled to undergo bariatric surgery (n = 21) or other upper GI surgery (n = 5), were measured by liquid chromatography coupled with mass spectrometry. Relationships between plasma and tissue profiles were examined using Pearson correlation analysis subject to Benjamini–Hochberg correction. Plasma metabolites and lipids showed the highest number of significantly positive correlations with their corresponding concentrations in liver tissue, including lipid species of ceramide, mono‐ and di‐hexosylceramide, sphingomyelin, phosphatidylcholine (PC), phosphatidylethanolamine (PE), lysophosphatidylethanolamine, dimethyl phosphatidylethanolamine, ether‐linked PC, ether‐linked PE, free fatty acid, cholesteryl ester, diacylglycerol and triacylglycerol, and polar metabolites linked to several metabolic functions and gut microbial metabolism. Plasma also showed significantly positive correlations with muscle for several phospholipid species and polar metabolites linked to metabolic functions and gut microbial metabolism, and with AT for several triacylglycerol species. In conclusion, plasma metabolomic and lipidomic profiles were reflective more of the liver profile than any of the muscle or AT sites examined in the present study. Our findings highlighted the importance of taking into consideration the metabolomic relationship of various tissues with plasma when postulating plasma metabolites marker to underlying mechanisms occurring in a specific tissue.

A Strategy to Characterize the Global Landscape of Histone Post-Translational Modifications Within Tissues of Nonmodel Organisms

“…We anticipated that such trends would exist because tissues balance metabolites in different manners. 62,63 Our results provide evidence to support this hypothesis. Of the 12 types of modifications analyzed in this study, five were found to be differentially abundant in the gills.…”

“…In this study, we evaluated whether specific types of modifications, such as acetylation, were consistently more abundant or less abundant in certain tissues. We anticipated that such trends would exist because tissues balance metabolites in different manners. , Our results provide evidence to support this hypothesis. Of the 12 types of modifications analyzed in this study, five were found to be differentially abundant in the gills.…”

Lipidomic markers of obesity and their dynamics after bariatric surgery

“…Особое внимание следует уделить исследованию 2022 г., в котором 26 пациентов с ожирением без СД2 прошли бариатрическую операцию [63]. У пациентов получены биоптаты подкожной жировой ткани бедра, подкожной жировой ткани живота, глубокой подкожной жировой ткани живота, внутрибрюшной жировой ткани, двух участков мышечной ткани (васта латеральная мышца, прямая мышца живота) и печени (клин правой доли).…”

“…Печень является основным источником церамидов, но учитывая, что их содержание в печени хорошо коррелирует с плазменными фракциями, доказывает тот факт, что сфинголипипиды в плазме могут отражать их аномальный метаболизм в печени. Сфингомиелины, которые содержали более низкое четное общее количество углерода (C ≤ 34) и мононенасыщенную цепь жирных кислот, а также их концентрация коррелировали с показателями внутрибрюшной жировой ткани, печени и мышц [63].…”