Table_1_Triglyceride-Rich Lipoproteins and Glycoprotein A and B Assessed by 1H-NMR in Metabolic-Associated Fatty Liver Disease.docx
High plasma triglyceride (TG) levels and chronic inflammation are important factors related to metabolic-associated fatty liver disease in patients at cardiovascular risk. Using nuclear magnetic resonance (1H-NMR), we aimed to study the triglyceride-rich lipoprotein (TRL) and acute-phase glycoprotein profiles of a cohort of patients with metabolic disease and their relationship with fatty liver. Plasma samples of 280 patients (type 2 diabetes, 81.1%; obesity, 63.3%; and metabolic syndrome, 91.8%) from the University Hospital Lipid Unit were collected for the measurement of small, medium and large TRL particle numbers and sizes and glycoprotein profiles (Glyc-A and Glyc-B) by 1H-NMR. Liver function parameters, including the fatty liver index (FLI) and fibrosis-4 (FIB-4) score, were assessed. Hepatic echography assessment was performed in 100 patients, and they were followed up for 10 years. TRL particle concentrations showed a strong positive association with Glyc-A and Glyc-B (ρ=0.895 and ρ=0.654, p<0.001, respectively) and with the liver function-related proteins ALT ρ=0.293, p<0.001), AST (ρ=0.318, p<0.001) and GGT (ρ=0.284, p<0.001). Likewise, TRL concentrations showed a positive association with FLI (ρ=0.425, p<0.001) but not with FIB-4. During the follow-up period of 10 years, 18 new cases of steatosis were observed among 64 patients who were disease-free at baseline. Baseline TRL particle numbers and glycoprotein levels were associated with the new development of metabolic-associated fatty liver disease (MAFLD) (AUC=0.692, p=0.018 and AUC=0.669, p=0.037, respectively). Overall, our results indicated that TRL number and acute-phase glycoproteins measured by 1H-NMR could be potential biomarkers of the development of hepatic steatosis in patients at metabolic risk.
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References
- https://doi.org//10.1016/j.jacc.2017.12.006
- https://doi.org//10.1161/CIRCRESAHA.115.306249
- https://doi.org//10.1161/ATVBAHA.107.160192
- https://doi.org//10.1210/jc.2014-2365
- https://doi.org//10.1111/joim.12719
- https://doi.org//10.1001/jamanetworkopen.2019.10456
- https://doi.org//10.1053/j.gastro.2019.11.312
- https://doi.org//10.1002/hep.28431
- https://doi.org//10.1001/jama.2015.5370
- https://doi.org//10.1016/j.jhep.2015.11.004
- https://doi.org//10.1002/cphy.c170012
- https://doi.org//10.1016/j.tcb.2017.01.006
- https://doi.org//10.7326/0003-4819-143-10-200511150-00009
- https://doi.org//10.1056/NEJM199902113400607
- https://doi.org//10.1016/j.cell.2006.08.019
- https://doi.org//10.3390/jcm9020354
- https://doi.org//10.1186/s12967-017-1321-6
- https://doi.org//10.1021/acs.jproteome.8b00411
- https://doi.org//10.3390/jcm9051344
- https://doi.org//10.1021/acs.jproteome.9b00528
- https://doi.org//10.1111/j.2047-6310.2011.00024.x
- https://doi.org//10.1016/j.dld.2011.10.015
- https://doi.org//10.1111/jgh.12726
- https://doi.org//10.1093/glycob/cwz096
- https://doi.org//10.3748/wjg.v22.i45.9880
- https://doi.org//10.1186/1471-230X-6-33
- https://doi.org//10.1002/hep.21178
- https://doi.org//10.1194/jlr.D050120
- https://doi.org//10.1111/DOM.13655
- https://doi.org//10.1111/DOM.13773
- https://doi.org//10.1373/clinchem.2004.032763
- https://doi.org//10.21037/jlpm.2020.03.03
- https://doi.org//10.1371/journal.pone.0139057
- https://doi.org//10.1007/s11306-020-01695-x
- https://doi.org//10.1161/ATVBAHA.115.305635
- https://doi.org//10.1136/bmj.38050.593634.63
- https://doi.org//10.1053/jhep.2003.50346
- https://doi.org//10.1373/49.3.450
- https://doi.org//10.1053/jhep.2002.36128
- https://doi.org//10.1002/hep.21046
- https://doi.org//10.3390/IJMS222111905
- https://doi.org//10.1016/j.cca.2015.11.001
- https://doi.org//10.1373/clinchem.2014.232918
- https://doi.org//10.1016/j.cca.2016.06.012
- https://doi.org//10.1007/s00125-005-0125-z
- https://doi.org//10.1016/S2468-1253(21)00308-3
- https://doi.org//10.3748/wjg.14.3476
- https://doi.org//10.1111/liv.12840
- https://doi.org//10.2214/AJR.16.16726