Uncover how metabolomic profiling reveals key biochemical changes in metabolic syndrome research — supporting risk prediction studies, patient stratification research, and targeted intervention investigations.
| Category | Representative Metabolites | Research Interest |
|---|---|---|
| Lipid Metabolism | Triglycerides (↑), HDL (↓), Free fatty acids, Acylcarnitines | Lipid dysregulation studies, metabolic flux research |
| Amino Acid Dysregulation | BCAAs (↑), Tyrosine (↑), Glycine (↓), Serine (↓) | Insulin resistance research, protein metabolism studies |
| Ketone Bodies | β-Hydroxybutyrate, Acetoacetate | Metabolic flexibility research, fasting studies |
| Short-Chain Fatty Acids (SCFAs) | Butyrate (↓), Propionate, Acetate | Gut-host metabolism research, microbiome studies |
| Inflammatory & Oxidative Stress Markers | Indoxyl sulfate, 8-isoprostane, malondialdehyde | Inflammation research, oxidative stress studies |
| Ratio | Research Application | Study Focus |
|---|---|---|
| Triglyceride / HDL ↑ | Metabolic syndrome research marker | Dyslipidemia studies, risk factor research |
| BCAA / Glycine ↑ | Insulin resistance research | Systemic inflammation studies |
| Acylcarnitine / Free Carnitine ↑ | Mitochondrial dysfunction research | Energy metabolism studies |
| Butyrate / SCFAs ↓ | Gut microbiota research | Dysbiosis investigation |
These ratios are measured for their potential to enhance conventional research models and improve patient stratification in studies.
Our research platforms offer multi-matrix capabilities for comprehensive study design:
| Panel | Description | Matrix | Metabolites |
|---|---|---|---|
| Metabolic Syndrome Research Panel | Covers lipid, amino acid, ketone, and SCFA markers | Plasma /Serum | 150+ |
| Lipidomics Research Panel | In-depth profiling of triglycerides, phospholipids, fatty acids | Plasma /Serum | 200+ |
| Amino Acid Panel | BCAAs, glycine, tyrosine, serine, glutamine | Plasma / Urine | 40+ |
| SCFA Research Panel | Fecal SCFAs for microbiota-linked metabolism research | Feces | 25+ |
| Custom MetS Panel | Configure markers specific to your research objectives | Any | Variable |
All panels are analytically validated for research use and optimized for LC-MS/MS and GC-MS workflows with comprehensive QC protocols.
1. Metabolomic signatures in metabolic syndrome research and risk studies
Newgard CB, An J, Bain JR, et al.
A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009;9:311–326. DOI: 10.1016/j.cmet.2009.02.002
2. Plasma amino acids and cardiometabolic risk research in obese adults
Wurtz P, et al.
Branched-chain and aromatic amino acids are predictors of insulin resistance in young adults. Diabetes Care. 2013;36:648–655. DOI: 10.2337/dc12-0895
3. Microbiota-derived SCFAs and host metabolic regulation research
den Besten G, et al.
The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism. J Lipid Res. 2013;54:2325–2340. DOI: 10.1194/jlr.R036012
4. Metabolomics approaches in cardiovascular risk research
Cheng S, Shah SH, Corwin EJ, et et al.
Potential impact and study considerations of metabolomics in cardiovascular health and disease: a scientific statement from the American Heart Association. Circ Cardiovasc Genet. 2017;10:e000032. DOI: 10.1161/HCG.0000000000000032
5. BCAA metabolism and insulin resistance: research perspectives
Qiao S, Liu C, Sun L, et al.
Gut Parabacteroides merdae protects against cardiovascular damage by enhancing branched-chain amino acid catabolism. Nat Metab. 2022;4:1271–1286. DOI: 10.1038/s42255-022-00649-y
Research Applications:
