| Literature DB >> 27182456 |
Komal Sodhi1, Lucas Bracero2, Andrew Feyh2, Alexandra Nichols2, Krithika Srikanthan2, Tariq Latif2, Deborah Preston3, Joseph I Shapiro1, Yoram Elitsur3.
Abstract
BACKGROUND: Obesity, an epidemic among West Virginia children, as well as insulin resistance (IR), is well-established contributors to nonalcoholic steatohepatitis (NASH). Progression of NASH can lead to hepatic fibrosis and cirrhosis, making early detection imperative. The standard for diagnosing NASH is histologically via liver biopsy, which is highly invasive and generally contraindicated in children. By studying serum biomarkers associated with NASH, we aim to identify high risk children who can benefit from a less invasive, alternative approach to the early detection of NASH.Entities:
Keywords: Biomarkers; Nonalcoholic fatty liver (NAFL); Pediatric Non-alcoholic steatohepatitis (NASH)
Year: 2016 PMID: 27182456 PMCID: PMC4866601 DOI: 10.4172/2155-9899.1000393
Source DB: PubMed Journal: J Clin Cell Immunol
Figure 1Primary mechanisms involved in the development of NAFLD. Reactive oxygen species (ROS).
Clinical markers.
| Group | Control | Obese | Obese + IR |
|---|---|---|---|
| # Pts | 28 | 16 | 27 |
| BMI | 20.87 (± 0.5) | 29.63 (± 1.3) | 31.81 (± 1.1) |
| HOMA2-IR | 1.14 (± 0.7) | 1.29 (± 0.1) | 3.44 (± 0.2) |
| ALT | 16.20 (± 0.6) | 20.88 (± 4.2) | 46.62 (± 16.5) |
Values represent means ± SEM.
p<0.02 vs. control,
p<0.02 vs. obese.
Body mass index (BMI), HOMA2-IR and serum concentrations of alanine aminotransferase (ALT) in control, obese without IR, and obese with IR patients.
Serum biomarkers.
| Group | Mechanistic Step | Control | Obese | Obese + IR |
|---|---|---|---|---|
| # Pts | 28 | 16 | 27 | |
| FGF-21 (ng/mL) | Fat Metabolism | 0.608 (± 0.02) | 0.964 (± 0.03) | 0.971 (± 0.05) |
| NEFA (µmol/L) | Fat Accumulation | 0.47 (± 0.07) | 0.88 (± 0.03) | 1.28 (± 0.04) |
| FATP5 (ng/mL) | Fat Inflow | 8.00 (± 0.32) | 9.46 (± 0.32) | 9.59 (± 0.29) |
| ApoB (µg/mL) | Fat Outflow | 1419.79 (± 37.07) | 1713.12 (± 31.94) | 1914.59 (± 48.87) |
| Bilirubin (mg/dL) | Antioxidant | 0.739 (± 0.04) | 0.459 (± 0.03) | 0.430 (± 0.02) |
| 8-Isoprostane (pg/mL) | Oxidative Stress | 7.34 (± 0.37) | 10.54 (± 0.39) | 11.02 (± 0.44) |
| Dysfunctional HDL | Oxidative Stress Inflammation | 2382.75 (± 51.48) | 3059.90 (± 114.62) | 3414.76 (± 146.04) |
| CK-18 (ng/mL) | Inflammation Apoptosis | 57.10 (± 1.32) | 68.22 (± 1.59) | 90.48 (± 2.14) |
Values represent means ± SEM.
p<0.02 vs. control,
p<0.02 vs. obese.
Concentrations of biomarkers for fat accumulation, oxidative stress, inflammation, and apoptosis assessed via ELISA in control, obese without IR, and obese with IR patients.
Figure 2Schematic representation demonstrating lipid transport and free fatty acid (FFA) flux in insulin resistant states. Insulin resistance results in increased FFA in plasma, which leads to increased hepatocellular triglyceride (TG) concentrations. Chylomicrons, containing apoB-48, also contributes to hepatic steatosis. FFA enter the liver via fatty acid transporters (FATP), mainly FATP5. Elevated hepatic triglycerides levels leads to increased hepatocyte secretion of very low density lipoprotein (VLDL), which contains apoB-100. Insulin resistance also leads to defective hepatic mitochondrial function, resulting in decreased fatty acid oxidation in the liver.