Metabolomic analysis of serum from obese adults with hyperlipemia by UHPLC‐Q‐TOF MS/MS

Abstract

The prevalence of obesity has dramatically increased and poses a major threat to human health. Obesity often accompanies hyperlipemia, which is strongly related to the occurrence and development of obesity-related chronic diseases. Differences in metabolomic profiling of serum between obese (with hyperlipemia) and normal-weight men (n = 30 in each group) were investigated using ultrahigh-pressure liquid chromatography-quadrupole-time of flight mass spectrometry (UHPLC-Q-TOF MS/MS) and partial least-squares-discriminant analysis (PLS-DA). Obese men showed higher levels of weight, body mass index, fat mass, systolic blood pressure, fasting plasma glucose, triglyeride, total cholesterol, insulin, HOMA-IR and high-sensitivity CRP. Obese and normal-weight groups were clearly discriminated from each other on a PLS-DA score plot and nine major metabolites contributing to the discrimination were assigned, including increased 2-octenoylcarnitine, eicosadienoic acid, 12-hydroperoxyeicosatetraenoic acid, 4-hydroxyestrone sulfate, lysoPE[18:1(11Z)/0:0], thromboxane B2 and pyridinoline and decreased vitamin D3 glucosiduronate and 9,10-DHOME. These metabolites were associated with lipid metabolism and obesity-related diseases, and reflected the metabolic differences between normal and obese men, which may be important for future clinical diagnosis, treatment and assessment of the therapeutic effect on obesity-related chronic disease.

Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS

“…Samples were prepared as described previously [ 17 , 18 ]. After deproteinization with methanol (1:5), the supernatant of serum samples was dried with nitrogen at 37°C, dissolved in acetonitrile and water (3:1) and centrifuged at 10 000 × g for 15 min.…”

“…Data were processed as described previously [ 17 , 18 ]. The raw data were imported into the MarkerLynx Application Manager 4.1 SCN 714 (Waters Corporation, Milford, MA, USA) for peak detection and alignment, and the collection of parameters were set as follows: noise elimination level 10.00, mass window 0.05 Da, and retention time tolerance 0.01 min.…”

Impact of a cafeteria diet and daily physical training on the rat serum metabolome

“…Some researchers have attempted to identify distinctive metabolite profiles associated with obesity in adults [ 14 ] and youths [ 15 ]. All these studies point to the importance of biomarker discovery for early diagnosis, treatment and assessment of lifestyle-related diseases.…”

Emerging role and recent applications of metabolomics biomarkers in obesity disease research

“…A recent study by Wang et al was to examine changes in the plasma metabolites in obese adults. 22 Obese and normal-weight groups were clearly discriminated on score plot and nine major metabolites contributing to the discrimination were assigned, such as increased 2-octenoylcarnitine, eicosadienoic acid, thromboxane B2 and pyridinoline and decreased vitamin D3 glucosiduronate, etc. One study reported that major metabolic processes like fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation were altered in abnormal obesity.…”