| Title |
Dietary trans‐Fatty Acid Induced NASH is Normalized Following Loss of trans‐Fatty Acids from Hepatic Lipid Pools
|
|---|---|
| Published in |
Lipids, August 2012
|
| DOI | 10.1007/s11745-012-3709-7 |
| Pubmed ID | |
| Authors |
Brent A. Neuschwander‐Tetri, David A. Ford, Sahaja Acharya, George Gilkey, Metin Basaranoglu, Laura H. Tetri, Elizabeth M. Brunt |
| Abstract |
Previous experiments in mice showed that dietary trans-fats could play a role in non-alcoholic steatohepatitis (NASH) yet little is known about the accumulation trans-fats in hepatic lipid pools in relationship to liver injury. NASH is also associated with obesity yet improves with only modest weight loss. To distinguish the role of obesity versus sustained consumption of a trans-fat containing diet in causing NASH, mice with obesity and NASH induced by consuming a high trans-fat diet for 16 weeks were subsequently fed standard chow or maintained on trans-fat chow for another 8 weeks. The accumulation, partitioning and loss of trans-fats in the major hepatic lipid pools during and after trans-fat consumption were determined. Obese mice switched to standard chow remained obese but steatohepatitis improved. trans-fats were differentially incorporated into the major hepatic lipid pools and the loss of trans-fats after crossover to control chow was greatest in the cholesteryl ester pool. In summary, dietary changes can improve the biochemical and histopathological changes of NASH despite persistent obesity in mice. Analysis of hepatic lipids confirmed that dietary trans-fats accumulate in the major lipid pools and are released differentially with diet normalization. The substantial loss of trans-fats from the cholesteryl ester pool in parallel with improvement in NASH suggests that this pool of trans-fats could play a role in the pathogenesis of NASH. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 8 | 23% |
| Professor > Associate Professor | 3 | 9% |
| Other | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 26% |
| Agricultural and Biological Sciences | 7 | 20% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Nursing and Health Professions | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 8 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 November 2023.
All research outputs
#22,255,835
of 24,837,507 outputs
Outputs from Lipids
#1,791
of 1,923 outputs
Outputs of similar age
#158,587
of 176,182 outputs
Outputs of similar age from Lipids
#3
of 4 outputs
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