Noninvasive assessment of hepatic lipid composition: advancing understanding and management of fatty liver disorders
Open accessAbstract
UNLABELLED: Nonalcoholic fatty liver is frequently observed in obese individuals, yet the factors that predict its development and progression to liver disease are poorly understood. We proposed that proton magnetic resonance spectroscopy ((1)H-MRS) might allow noninvasive assessment of hepatic lipid composition. Lipid saturation (SI) and polyunsaturation (PUI) indices measured by (1)H-MRS were in agreement with those expected in oils of known composition. Hepatic triglyceride concentration (HTGC) and composition were then measured in healthy lean (LEAN) men, obese men with normal HTGC (OB), and obese men with hepatic steatosis (OB+HS). The effect of marked changes in dietary fat consumption on hepatic lipids were also compared in lean men after 67 hours of a normal mixed (NM) diet versus a low-carbohydrate, high-saturated-fat (LCHF) diet. SI was significantly higher in OB+HS (0.970 +/- 0.004) and OB (0.944 +/- 0.008) versus LEAN (0.818 +/- 0.025) (P < 0.01 for both). PUI was significantly lower in OB+HS (0.003 +/- 0.001) and OB (0.022 +/- 0.005) versus LEAN (0.120 +/- 0.021) (P < 0.01), and significantly lower in OB+HS versus OB (P < 0.05). LCHF diet did not alter HTGC, SI, or PUI (P > 0.05). The (1)H-MRS method provides for rapid, qualitative assessment of lipid composition. Application of this technique in the liver produces results that are consistent with biopsy-based approaches demonstrating that relative hepatic lipid saturation increases and polyunsaturation decreases with obesity. Obesity-related hepatic steatosis is characterized by further depletion of polyunsaturated hepatic lipids. CONCLUSION: This readily available and noninvasive approach should promote further study into interactions between hepatic and whole-body lipid metabolism and help to elucidate the pathogenesis of disorders characterized by lipid accumulation within the liver.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The coefficient of variation for the 1H-MRS technique used to measure liver fat concentration is approximately 7%.
“We have previously shown that the CV for this technique is ∼ 7% (29).”
From Eucaloric diets enriched in palm olein, cocoa butter, and soybean oil did not differentially affect liver fat concentration in healthy participants: a 16-week randomized controlled trial. (2021) · cites this paper as [29]
The Reproducibility section reports a coefficient of variation of 3.6% for ¹H-MRS-measured hepatic triglyceride concentration when the voxel position was unchanged, and 14.5% when it was moved between liver lobes. Neither result is approximately 7%. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 37 · Cited by 164
- Authors
- Johnson, N. A., Walton, D. W., Sachinwalla, T., Thompson, C. H., Smith, K., Ruell, P. A., Stannard, S. R., & George, J.
- Affiliations
- The University of Sydney (AU)
- Flinders University (AU)
- Massey University (NZ)
- Corresponding author
- George, Jacob
- Venue
- Hepatology
- Published
- 2008-05
- Volume
- 47
- Issue
- 5
- Pages
- 1513-1523
- ISSN
- 0270-9139 (ISSN-L)
- OpenAlex
- W2018265574
- Cited by
- 164
- References
- 37
- Citations by year
- 2025: 2 · 2024: 7 · 2023: 7 · 2022: 6 · 2021: 10 · 2020: 8 · 2019: 6 · 2018: 7 · 2017: 12 · 2016: 10 · 2015: 10 · 2014: 17 · 2013: 13 · 2012: 12
- FWCI
- 9.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Hepatology (publishedVersion)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Flinders Academic Commons (Flinders University) (submittedVersion)
- Funders
- Massey University Research Fund (06/5062)
- Southern Adelaide Health Service
- University of Sydney Faculty Financial Support Fund (S0717 0000)
- Robert W. Storr bequest to the University of Sydney and a program grant from the National Health and Medical Research Council (358398)
- Topics
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- non-alcoholic fatty liver disease, hepatic lipid composition, 1H NMR, hepatic triglycerides, hepatic steatosis, obesity, dietary fat, non-invasive liver assessment
- MeSH terms
- Adult, Dietary Fats, Fatty Acids, Fatty Liver, Humans, Insulin, Lipids, Male, Middle Aged, Magnetic Resonance Spectroscopy, Obesity, Reference Values, Triglycerides
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review