The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Apolipoprotein C-III, metabolic syndrome, and risk of coronary artery disease
Open accessAbstract
Apolipoprotein C-III (apoC-III) is a marker of triglyceride (TG)-rich lipoproteins, which are often increased in metabolic syndrome (MS). The T-455C polymorphism in the insulin-responsive element of the APOC3 gene influences TG and apoC-III levels. To evaluate the contribution of apoC-III levels and T-455C polymorphisms in the coronary artery disease (CAD) risk of MS patients, we studied 873 patients, 549 with CAD and 251 with normal coronary arteries. Patients were classified also as having or not having MS (MS, n = 270; MS-free, n = 603). Lipids, insulin, apolipoprotein levels, and APOC3 T-455C genotypes were evaluated. ApoC-III levels were significantly increased in MS patients, and the probability of having MS was correlated with increasing quartiles of apoC-III levels. MS patients with CAD had significantly higher apoC-III levels than did CAD-free MS patients. The carriership for the -455C variant multiplied the probability of CAD in MS in an allele-specific way and was associated with increased apoC-III and TG levels. Obesity was less frequent in MS carriers of the -455C allele than in MS noncarriers (21.6% vs. 34.8%, P < 0.05). In conclusion, apoC-III-rich lipoprotein metabolism and the APOC3 polymorphism have relevant impacts on the CAD risk of MS patents.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Previous studies have suggested that two single-nucleotide polymorphisms (SNPs) in the gene encoding apolipoprotein C3 (APOC3) may be associated with hypertriglyceridemia.4–8”
From Apolipoprotein C3 gene variants in nonalcoholic fatty liver disease (2010) · cites this paper as [5]
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
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Ford, E. S., Giles, W. H., & Dietz, W. H. (2002) · JAMA · doi:10.1001/jama.287.3.356 · Cited by 6,698
Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome
Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., Taskinen, M.-R., & Groop, L. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.683 · Cited by 4,760
Insulin resistance and cardiovascular disease
Ginsberg, H. N. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10762 · Cited by 1,372
An Apolipoprotein Influencing Triglycerides in Humans and Mice Revealed by Comparative Sequencing
Pennacchio, L. A., Olivier, M., Hubacek, J. A., Cohen, J. C., Cox, D. R., Fruchart, J.-C., Krauss, R. M., & Rubin, E. M. (2001) · Science · doi:10.1126/science.1064852 · Cited by 921
Role of apoCs in lipoprotein metabolism: functional differences between apoC1, apoC2, and apoC3
Jong, M. C., Hofker, M. H., & Havekes, L. M. (1999) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.19.3.472 · Cited by 539
Sacks, F. M., Alaupovic, P., Moye, L. A., Cole, T. G., Sussex, B., Stampfer, M. J., Pfeffer, M. A., & Braunwald, E. (2000) · Circulation · doi:10.1161/01.cir.102.16.1886 · Cited by 490
Ginsberg, H. N., Le, N. A., Goldberg, I. J., Gibson, J. C., Rubinstein, A., Wang-Iverson, P., Norum, R., & Brown, W. V. (1986) · Journal of Clinical Investigation · doi:10.1172/jci112713 · Cited by 424 · cited 1×
“ApoC-III inhibits the hydrolysis of TG-rich particles by the lipoprotein lipase and their hepatic uptake mediated by apoE (9, 10 ).”
Background
Cited by
Sorted by citations
Items 101–140 of 140
Ethnicity differences in plasma apoC-III levels between African American and Caucasian youths
Lee, J., Hong, H.-R., & Kang, H. (2011) · World Journal of Pediatrics · doi:10.1007/s12519-011-0266-8 · Cited by 4
Sun, Y., Zhou, R., & Chen, D. M. (2015) · Genetics and Molecular Research · doi:10.4238/2015.december.23.9 · Cited by 4
Triglyceride Level Affecting Shared Susceptibility Genetic Variants in Type 2 Diabetes Mellitus
Sümegi, K. (2013) · Journal of Diabetes & Metabolism · doi:10.4172/2155-6156.s13-007 · Cited by 3
Llop, D., Rehues, P., Paredes, S., Guardiola, M., Girona, J., Rosales, R., Esteban, Y., Masana, L., Ibarretxe, D., Vallvé, J.-C., et al. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02553-z · Cited by 2
Elevated levels of apolipoprotein C3 impair platelet function and reduce thrombosis
Schrottmaier, W. C., Kral-Pointner, J. B., Mußbacher, M., Salzmann, M., Hochreiter, B., Pirabe, A., Reiter, T., Badrnya, S., Schmid, J. A., Volf, I., et al. (2026) · Journal of Thrombosis and Haemostasis · doi:10.1016/j.jtha.2026.01.004 · Cited by 2
Shen, H., Pan, M., Huang, C.-J., Yeh, H., Yang, H., Lin, Y., Huang, C., Lee, K., Yang, Y., & Hou, M. (2024) · Gene · doi:10.1016/j.gene.2024.148660 · Cited by 2
Radioprotectors and Mitigators: Current Status
Yazlovitskaya, E. M. (2013) · Journal of Bioequivalence & Bioavailability · doi:10.4172/jbb.10000e26 · Cited by 2
Lü, H., Lei, X., Guo, S., Winkler, R., John, S., Kumar, D., Li, W., & Alnouti, Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.06.427306 · Cited by 2
Role of APOC3 3238C/G polymorphism in HIV-associated neurocognitive disorder
Singh, H., Dhotre, K., Shyamveer, Namdev, G., Mahajan, S. D., Parvez, M. K., & Al-Dosari, M. S. (2023) · Microbial Pathogenesis · doi:10.1016/j.micpath.2023.106107 · Cited by 1
Karaagac, D., Morkuzu, S., Şenkal, N., Bilgin, E., Oyacı, Y., Tükek, T., Pehlıvan, S., & Medetalibeyoglu, A. (2025) · Medicina · doi:10.3390/medicina61081479 · Cited by 2
Fruchart, J., Sacks, F. M., Hermans, M. P., Assmann, G., Brown, W. V., Češka, R., Chapman, M. J., Dodson, P. M., Fioretto, P., Ginsberg, H. N., et al. (2010) · Cor et Vasa · doi:10.33678/cor.2010.056 · Cited by 1
Yang, G., Lei, M.-M., Yu, C.-L., Liu, X.-X., An, Z., & Song, C.-L. (2015) · Lipids in Health and Disease · doi:10.1186/s12944-015-0110-6 · Cited by 1
Beyond Cholesterol: Statin Benefits in Alzheimer's Disease
Soares, H. D., & Sparks, D. L. (2007) · Springer eBooks · doi:10.1007/7355_2007_013 · Cited by 1
Synergic effects of the ApoC3 and ApoA4 polymorphisms on the risk of hypertension
Kang, S. H., Kim, Y. R., & Hong, S.-H. (2017) · Genes & Genomics · doi:10.1007/s13258-017-0606-8 · Cited by 1
Assessment and Treatment of Cardiovascular Disease in Obese Children
Blackett, P. R., Alaupovic, P., Short, K. R., & Copeland, K. C. (2011) · Humana Press eBooks · doi:10.1007/978-1-60327-256-8_5 · Cited by 1
Nature vs nurture: genetic susceptibility and weight loss in hepatic steatosis
Huang, K. (2010) · Clinical Genetics · doi:10.1111/j.1399-0004.2010.01519_3.x · Cited by 1
Interaction between Diet and Genes on Longevity
Puca, A. A., Anselmi, C. V., & Perls, T. T. (2011) · Wiley eBooks · doi:10.1002/9781444318456.ch51
A cross-sectional analysis of the RISC Study
Baldi, S., Bonnet, F., Laville, M., Morgantini, C., Monti, L. D., Højlund, K., Ferrannini, E., & Natali, A. (2013) · Cited by 1
Obesity and metabolic syndrome among
Ali, F. T., Ismail, M. A., El-Azeem, E. M. A., Abdulla, A. M., & Seoudi, D. M. (2014)
Viitasalo, A. (2015) · UEF eRepo (University of Eastern Finland)
Shojaee, S., DANESHPOUR, M. S., Halalkhor, S., Azizi, F., & Hedayati, M. (2010) · Majallah-i ghudad-i darūn/rīz va mitābulīsm-i Īrān./Majallah-i ghudad-i darūn/rīz va mitābulīsm-i Īrān.
Study diabetes-related endothelial cell dysfunction in a hemodynamic microfluidic system
Liu, X. (2016) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/65987
Triglycerides and Risk for Atherosclerotic Disease
Luc, G., Duriez, P., & Fruchart, J. (2013) · CRC Press eBooks · doi:10.3109/9781420019667-15
Naran, N. H., Raal, F. J., & Crowther, N. J. (2017) · SA Heart · doi:10.24170/6-3-1985
Cheng, S., Pang, B., Gu, C., Sun, S., An, C., Zhang, Z., Li, J., & Liu, G.-J. (2017) · Frontiers in Laboratory Medicine · doi:10.1016/j.flm.2017.10.002
Triglycerides and Risk for Atherosclerotic Disease
Luc, G., Duriez, P., & Fruchart, J. (2006) · Fundamental and clinical cardiology · doi:10.3109/9781420019667.009
Eshpulatov, A. S., Hoshimov, S. U., Kan, L. E., Ахмедова, Ш. С., Аминов, С. А., Хусаиновна, Т. Р., Shek, A. B., & Kurbanov, R. D. (2014) · Eurasian heart journal · doi:10.38109/2225-1685-2014-3-30-36
Lü, H., Lei, X., Winkler, R., John, S., Kumar, D., Li, W., & Alnouti, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19881329
Singh, H., Shyamveer, Jori, C., Mahajan, S. D., Aalinkeel, R., Kaliyappan, K., Bhattacharya, M., Parvez, M. K., & Al-Dosari, M. S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e30519
Chen, D., Xie, K., Gao, C., Yang, Y., Xu, Y., Xi, Y., Xi, Y., Zheng, J.-S., & Chen, Y. (2025) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2025.109892
Pontali, G., Weichenberger, C. X., Rainer, J., Hantikainen, E. M., Graeve, M. D., Mattivi, F., Kob, M., Ralser, M., Pramstaller, P. P., & Domingues, F. S. (2025) · medRxiv · doi:10.1101/2025.03.10.25323679
Chackathayil, J. (2013) · University of Birmingham Institutional Research Archive (University of Birmingham)
Lu, H., Lei, X., Winkler, R., John, S., Kumar, D., Li, W., & Alnouti, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19881323
Lu, H., Lei, X., Winkler, R., John, S., Kumar, D., Li, W., & Alnouti, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19881326
Lu, H., Lei, X., Winkler, R., John, S., Kumar, D., Li, W., & Alnouti, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19881335
Lu, H., Lei, X., Winkler, R., John, S., Kumar, D., Li, W., & Alnouti, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19881317
Lu, H., Lei, X., Winkler, R., John, S., Kumar, D., Li, W., & Alnouti, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19881332
Lu, H., Lei, X., Winkler, R., John, S., Kumar, D., Li, W., & Alnouti, Y. (2022) · Figshare · doi:10.6084/m9.figshare.19881320
Characterization of metabolically healthy and unhealthy obesity by circulating omics
Pontali, G., Weichenberger, C. X., Rainer, J., Hantikainen, E. M., Graeve, M. D., Mattivi, F., Kob, M., Ralser, M., Pramstaller, P. P., & Domingues, F. S. (2026) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2026.104998
Metadata
- Authors
- Olivieri, O., Bassi, A., Stranieri, C., Trabetti, E., Martinelli, N., Pizzolo, F., Girelli, D., Friso, S., Pignatti, P. F., & Corrocher, R.
- Affiliations
- University of Verona (IT)
- Corresponding author
- Olivieri, Oliviero
- ORCID
- Venue
- Journal of Lipid Research
- Publisher
- Elsevier BV
- Published
- 2003-12
- Volume
- 44
- Issue
- 12
- Pages
- 2374-2381
- ISSN
- 0022-2275 (ISSN-L)
- OpenAlex
- W2125644926
- Cited by
- 139
- References
- 36
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 2 · 2023: 3 · 2022: 10 · 2021: 2 · 2020: 1 · 2018: 3 · 2017: 6 · 2016: 6 · 2015: 9 · 2014: 6 · 2013: 11 · 2012: 2
- FWCI
- 5.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Lipid Research (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- apolipoprotein C-III, metabolic syndrome, coronary artery disease, triglyceride-rich lipoproteins, triglycerides, genetic susceptibility, obesity
- MeSH terms
- Adult, Alleles, Apolipoproteins C, Coronary Artery Disease, Data Interpretation, Statistical, Female, Genotype, Humans, Lipids, Male, Middle Aged, Polymorphism, Genetic, Substrate Specificity, Biomarkers, Odds Ratio, Genetic Predisposition to Disease, Metabolic Syndrome, Apolipoprotein C-III
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