The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Berberine improves glucose metabolism through induction of glycolysis
Open accessAbstract
Berberine, a botanical alkaloid used to control blood glucose in type 2 diabetes in China, has recently been reported to activate AMPK. However, it is not clear how AMPK is activated by berberine. In this study, activity and action mechanism of berberine were investigated in vivo and in vitro. In dietary obese rats, berberine increased insulin sensitivity after 5-wk administration. Fasting insulin and HOMA-IR were decreased by 46 and 48%, respectively, in the rats. In cell lines including 3T3-L1 adipocytes, L6 myotubes, C 2 C 12 myotubes, and H4IIE hepatocytes, berberine was found to increase glucose consumption, 2-deoxyglucose uptake, and to a less degree 3- O-methylglucose (3-OMG) uptake independently of insulin. The insulin-induced glucose uptake was enhanced by berberine in the absence of change in IRS-1 (Ser 307/312), Akt, p70 S6, and ERK phosphorylation. AMPK phosphorylation was increased by berberine at 0.5 h, and the increase remained for ≥16 h. Aerobic and anaerobic respiration were determined to understand the mechanism of berberine action. The long-lasting phosphorylation of AMPK was associated with persistent elevation in AMP/ATP ratio and reduction in oxygen consumption. An increase in glycolysis was observed with a rise in lactic acid production. Berberine exhibited no cytotoxicity, and it protected plasma membrane in L6 myotubes in the cell culture. These results suggest that berberine enhances glucose metabolism by stimulation of glycolysis, which is related to inhibition of glucose oxidation in mitochondria. Berberine-induced AMPK activation is likely a consequence of mitochondria inhibition that increases the AMP/ATP ratio.
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
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Yamauchi, T., Kamon, J., Minokoshi, Y., Ito, Y., Waki, H., Uchida, S., Yamashita, S., Noda, M., Kita, S., Ueki, K., et al. (2002) · Nature Medicine · doi:10.1038/nm788 · Cited by 4,238
Cited by
Steinberg, G. R., & Kemp, B. E. (2009) · Physiological Reviews · doi:10.1152/physrev.00011.2008 · Cited by 1,637
Efficacy of berberine in patients with type 2 diabetes mellitus
Yin, J., Xing, H., & Ye, J. (2008) · Metabolism · doi:10.1016/j.metabol.2008.01.013 · Cited by 801
Self-citationMechanisms of insulin resistance in obesity
Ye, J. (2013) · Frontiers of Medicine · doi:10.1007/s11684-013-0262-6 · Cited by 699
Self-citationZhang, M., Lv, X.-Y., Li, J., Xu, Z.-G., & Chen, L. (2008) · Journal of Diabetes Research · doi:10.1155/2008/704045 · Cited by 667
Zhang, X., Zhao, Y., Zhang, M., Pang, X., Xu, J., Kang, C., Li, M., Zhang, C., Zhang, Z., Zhang, Y., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042529 · Cited by 615
Metadata
- Authors
- Yin, J., Gao, Z., Liu, D., Liu, Z., & Ye, J.
- Venue
- American Journal of Physiology-Endocrinology and Metabolism
- Publisher
- American Physiological Society
- Published
- 2008-01
- Volume
- 294
- Issue
- 1
- Pages
- E148-E156
- ISSN
- 0193-1849 (ISSN-L)
- 1522-1555
- OpenAlex
- W2111217151
- Cited by
- 411
- References
- 2
- FWCI
- 9.79
- Type
- journal article
- Language
- en
- Open access
- green
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: Berberine improves glucose metabolism through induction of glycolysis. https://app.cochat.ai/papers/10.1152/ajpendo.00211.2007
- The paper
- Yin, J., Gao, Z., Liu, D., Liu, Z., & Ye, J. (2008). Berberine improves glucose metabolism through induction of glycolysis. American Journal of Physiology-Endocrinology and Metabolism. https://doi.org/10.1152/ajpendo.00211.2007
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.