The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Interactions of long-chain fatty acids and albumin: Determination of free fatty acid levels using the fluorescent probe ADIFAB
Abstract
Equilibrium binding of long-chain fatty acids (FA) with albumin from human serum (HSA), bovine serum (BSA), and murine serum (MSA) has been studied by measuring the equilibrium levels of free fatty acids (FFA). FFA levels were measured directly, using a new fluorescent probe composed of acrylodan-derivatized intestinal fatty acid binding protein (ADIFAB). Measurements of [FFA] were done as a function of the ratio of total FA to total albumin (v) for v values between 0 and 6, at pH 7.4 and 37 degrees C. Under conditions observed in normal human physiology (v < or = 2), [FFA] values of the most abundant serum FA (palmitate, stearate, oleate) in equilibrium with human or bovine albumin are less than 15 nM. These values are considerably smaller than the generally quoted values of [FFA] in equilibrium with albumin: more than 20-fold for palmitate and more than 50-fold for oleate. FFA levels were found to increase monotonically with for all three albumins and all FA. In most cases [FFA] increased, for the same chain length, with increasing degree of acyl chain unsaturation, suggesting that FA aqueous solubility may play a significant role in the equilibrium between FA association with albumin and the aqueous phase. [The highest FFA levels (approximately 3000 nM), for example, were observed for linoleate (18:3) at the maximum v value (6).] Although aqueous-phase solubility of the FA may be important in understanding the interaction between FA and albumin, protein structure, as reflected in differences among the three albumins, also significantly affects the equilibrium.(ABSTRACT TRUNCATED AT 250 WORDS)
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
Measurement of Plasma Glucose, Free Fatty Acid, Lactate, and Insulin for 24 h in Patients With NIDDM
Reaven, G. M., Hollenbeck, C., Jeng, C.-Y., Wu, M. S., & Chen, Y.-D. I. (1988) · Diabetes · doi:10.2337/diab.37.8.1020 · Cited by 753
Cited by
Glucolipotoxicity: fuel excess and β-cell dysfunction
Poitout, V., & Robertson, R. P. (2008) · Endocrine Reviews · doi:10.1210/er.2007-0023 · Cited by 1,092
Cellular fatty acid-binding proteins: Their function and physiological significance
Glatz, J. F. C., & van der Vusse, G. J. (1996) · Progress in Lipid Research · doi:10.1016/s0163-7827(96)00006-9 · Cited by 566
Petitpas, I., Grüne, T., Bhattacharya, A. A., & Curry, S. (2001) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.5208 · Cited by 485
Review: Glycation of human serum albumin
Anguizola, J., Matsuda, R., Barnaby, O. S., Hoy, K. S., Wa, C., DeBolt, E., Koke, M., & Hage, D. S. (2013) · Clinica Chimica Acta · doi:10.1016/j.cca.2013.07.013 · Cited by 395
Glucolipotoxicity of the pancreatic beta cell
Poitout, V., Amyot, J., Semache, M., Zarrouki, B., Hagman, D., & Fontés, G. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2009.08.006 · Cited by 382
Metadata
- Authors
- Richieri, G. V., Anel, A., & Kleinfeld, A. M.
- Venue
- Biochemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 1993-07-01
- Volume
- 32
- Issue
- 29
- Pages
- 7574-7580
- ISSN
- 0006-2960 (ISSN-L)
- 1520-4995
- OpenAlex
- W2135805245
- Cited by
- 368
- References
- 1
- FWCI
- 3.75
- 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
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.