The DOI matches its Crossref record.
Increased Fructose Concentrations in Blood and Urine in Patients With Diabetes
Abstract
OBJECTIVE—To investigate fructose metabolic changes in patients with diabetes. RESEARCH DESIGN AND METHODS—Serum and urinary fructose concentrations were determined in healthy subjects (n = 23) and in nondiabetic (n = 23) and diabetic patients (n = 26). Fructose was measured using our newly developed method, and 13C6-fructose was used as the internal standard. After adding sample to a fixed amount of internal standard, ion-exchange resins and high-performance liquid chromatography pretreatments were performed. Then, the amount of fructose in the sample was measured by gas chromatography-mass spectrometry. RESULTS—Serum fructose concentrations in patients with diabetes (12.0 ± 3.8 μmol/l) were significantly higher than those in healthy subjects (8.1 ± 1.0 μmol/l, P < 0.001) and nondiabetic patients (7.7 ± 1.6 μmol/l, P < 0.001), and daily urinary fructose excretion was significantly greater in patients with diabetes (127.8 ± 106.7 μmol/day) than in nondiabetic patients (37.7 ± 23.0 μmol/day, P < 0.001). In patients with diabetes (n = 20), serum fructose concentrations (8.6 ± 1.8 μmol/l, P < 0.001) and daily urinary fructose excretion (63.4 ± 63.8 μmol/day, P < 0.01) significantly decreased by week 2 after admission. CONCLUSIONS—The present results differed from those of previous studies in that we found that the serum and urinary fructose concentrations decreased rapidly, concomitant with an improvement in glycemia. Therefore, hyperglycemia was associated with increased serum and urinary fructose concentrations in patients with diabetes.
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
Cited by
Emerging perspectives on essential amino acid metabolism in obesity and the insulin-resistant state
Adams, S. H. (2011) · Advances in Nutrition · doi:10.3945/an.111.000737 · Cited by 394
Ultrasensitive and selective non-enzymatic glucose detection using copper nanowires
Zhang, Y., Su, L., Manuzzi, D., de los Monteros, H. V. E., Jia, W., Huo, D., Hou, C., & Lei, Y. (2012) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2011.11.006 · Cited by 321
CuO nanowires based sensitive and selective non-enzymatic glucose detection
Zhang, Y., Liu, Y., Su, L., Zhang, Z., Huo, D., Hou, C., & Lei, Y. (2014) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2013.08.096 · Cited by 260
Aragno, M., & Mastrocola, R. (2017) · Nutrients · doi:10.3390/nu9040385 · Cited by 239
Functionality of sugars in foods and health
Clemens, R. A., Jones, J. M., Kern, M., Lee, S., Mayhew, E. J., Slavin, J. L., & Zivanovic, S. (2016) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12194 · Cited by 224
Metadata
- Authors
- Kawasaki, T., Akanuma, H., & Yamanouchi, T.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2002-02-01
- Volume
- 25
- Issue
- 2
- Pages
- 353-357
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2124246220
- Cited by
- 253
- References
- 0
- FWCI
- 1.27
- 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: Increased Fructose Concentrations in Blood and Urine in Patients With Diabetes. https://app.cochat.ai/papers/10.2337/diacare.25.2.353
- The paper
- Kawasaki, T., Akanuma, H., & Yamanouchi, T. (2002). Increased Fructose Concentrations in Blood and Urine in Patients With Diabetes. Diabetes Care. https://doi.org/10.2337/diacare.25.2.353
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.