The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The use of fatty acid biomarkers to reflect dietary intake
Abstract
PURPOSE OF REVIEW: This review compares fatty acid biomarkers to assess compliance in dietary intervention trials with their application in epidemiological studies. RECENT FINDINGS: Although many studies have used fatty acid biomarkers to assess compliance in short-term dietary intervention trials and habitual diets in observational studies, there is little information on the reliability and comparability of these measures. In this review, we summarize the usefulness and limitations of fatty acid biomarkers in clinical and epidemiological studies. As there are very few recent publications in this area, a complete literature review is provided. SUMMARY: Several options are available for the biological assessment of dietary fatty acids. The type of study (short or long-term), the metabolic characteristics and expected variability in the fatty acids of interest are major considerations when determining which tissues reflect a better measure of true intake. Certain fatty acids may not be suitable to assess differences in intake under non-isocaloric conditions and when trying to identify small differences. Serum cholesterol ester is the most suitable serum fraction to assess short-term dietary compliance, but given the multiple factors that affect response, the quantification of compliance should be interpreted with caution. Adipose tissue is the biomarker of choice for long-term intake, but a preferred blood constituent (plasma versus erythrocytes) is difficult to establish given the data available to date. Future studies should explore the use of whole blood as an alternative choice to measure fatty acid intake in epidemiological studies.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Effect of dietary stearic acid on plasma cholesterol and lipoprotein levels
Bonanome, A., & Grundy, S. M. (1988) · New England Journal of Medicine · doi:10.1056/nejm198805123181905 · Cited by 915
Cited by
Chowdhury, R., Warnakula, S., Kunutsor, S., Crowe, F., Ward, H. A., Johnson, L., Franco, O. H., Butterworth, A. S., Forouhi, N. G., Thompson, S. G., et al. (2014) · Annals of Internal Medicine · doi:10.7326/m13-1788 · Cited by 1,139
Micha, R., & Mozaffarian, D. (2010) · Lipids · doi:10.1007/s11745-010-3393-4 · Cited by 543
Genome-Wide Association Study of Plasma Polyunsaturated Fatty Acids in the InCHIANTI Study
Tanaka, T., Shen, J., Abecasis, G. R., Kisialiou, A., Ordovas, J. M., Guralnik, J. M., Singleton, A., Bandinelli, S., Cherubini, A., Arnett, D., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000338 · Cited by 418
Gillingham, L. G., Gustafson, J. A., Han, S.-Y., Jassal, D. S., & Jones, P. J. H. (2011) · British Journal of Nutrition · doi:10.1017/s0007114510003697 · Cited by 143
Dietary monounsaturated fatty acids appear not to provide cardioprotection.
Degirolamo, C., & Rudel, L. L. (2010) · Current Atherosclerosis Reports · doi:10.1007/s11883-010-0133-4 · Cited by 72
Metadata
- Authors
- Baylin, A., & Campos, H.
- Venue
- Current Opinion in Lipidology
- Published
- 2006-02
- Volume
- 17
- Issue
- 1
- Pages
- 22-27
- ISSN
- 0957-9672 (ISSN-L)
- OpenAlex
- W2050372974
- Cited by
- 238
- References
- 1
- FWCI
- 7.16
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The use of fatty acid biomarkers to reflect dietary intake. https://app.cochat.ai/papers/10.1097/01.mol.0000199814.46720.83
- The paper
- Baylin, A., & Campos, H. (2006). The use of fatty acid biomarkers to reflect dietary intake. Current Opinion in Lipidology. https://doi.org/10.1097/01.mol.0000199814.46720.83
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.