The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Traditional Chinese Medicine in Treatment of Metabolic Syndrome
Open accessAbstract
In management of metabolic syndrome, the traditional Chinese medicine (TCM) is an excellent representative in alternative and complementary medicines with a complete theory system and substantial herb remedies. In this article, basic principle of TCM is introduced and 25 traditional Chinese herbs are reviewed for their potential activities in the treatment of metabolic syndrome. Three herbs, ginseng, rhizoma coptidis (berberine, the major active compound) and bitter melon, were discussed in detail on their therapeutic potentials. Ginseng extracts made from root, rootlet, berry and leaf of Panax quinquefolium (American ginseng) and Panax ginseng (Asian ginseng), are proved for anti-hyperglycemia, insulin sensitization, islet protection, anti-obesity and anti-oxidation in many model systems. Energy expenditure is enhanced by ginseng through thermogenesis. Ginseng-specific saponins (ginsenosides) are considered as the major bioactive compounds for the metabolic activities of ginseng. Berberine from rhizoma coptidis is an oral hypoglycemic agent. It also has anti-obesity and anti-dyslipidemia activities. The action mechanism is related to inhibition of mitochondrial function, stimulation of glycolysis, activation of AMPK pathway, suppression of adipogenesis and induction of low-density lipoprotein (LDL) receptor expression. Bitter melon or bitter gourd (Momordica charantia) is able to reduce blood glucose and lipids in both normal and diabetic animals. It may also protect beta cells, enhance insulin sensitivity and reduce oxidative stress. Although evidence from animals and humans supports the therapeutic activities of ginseng, berberine and bitter melon, multi-center large-scale clinical trials have not been conducted to evaluate the efficacy and safety of these herbal medicines.
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
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Adipocyte differentiation from the inside out
Rosen, E. D., & MacDougald, O. A. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2066 · Cited by 2,607
Comment on the provisional report from the WHO consultation
(1999) · Diabetic Medicine · doi:10.1046/j.1464-5491.1999.00059.x · Cited by 1,820
Kong, W., Wei, J., Abidi, P., Lin, M., Inaba, S., Li, C., Wang, Y., Wang, Z., Si, S., Pan, H., et al. (2004) · Nature Medicine · doi:10.1038/nm1135 · Cited by 1,391
Cinnamon extract prevents the insulin resistance induced by a high-fructose diet
(2004) · Hormone and Metabolic Research · doi:10.1055/s-2004-814223 · Cited by 152
Green tea, anti-diabetic or diabetogenic: a dose response study
Islam, M. S., & Choi, H. (2007) · BioFactors · doi:10.1002/biof.5520290105 · Cited by 44
Cited by
Phytotherapy in the management of diabetes: A review
Governa, P., Baini, G., Borgonetti, V., Cettolin, G., Giachetti, D., Magnano, A., Miraldi, E., & Biagi, M. (2018) · Molecules · doi:10.3390/molecules23010105 · Cited by 182
Derosa, G., Maffioli, P., & Cicero, A. F. (2012) · Expert Opinion on Biological Therapy · doi:10.1517/14712598.2012.704014 · Cited by 171
Nutraceuticals for the treatment of hypercholesterolemia
Mannarino, M. R., Ministrini, S., & Pirro, M. (2014) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2014.06.008 · Cited by 92
Zhou, Y., Cao, S., Wang, Y., Xu, P., Yan, J., Bin, W., Qiu, F., & Kang, N. (2014) · Fitoterapia · doi:10.1016/j.fitote.2013.11.010 · Cited by 81
(2012) · Europe PMC (PubMed Central) · Cited by 62
Metadata
- Authors
- Yin, J., Zhang, H., & Ye, J.
- Venue
- Endocrine‚ Metabolic & Immune Disorders-Drug Targets
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2008-06-01
- Volume
- 8
- Issue
- 2
- Pages
- 99-111
- ISSN
- 1871-5303 (ISSN-L)
- OpenAlex
- W2132279891
- Cited by
- 374
- References
- 6
- FWCI
- 11.33
- 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
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.