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Critical Reviews™ in Eukaryotic Gene Expression

年間 6 号発行

ISSN 印刷: 1045-4403

ISSN オンライン: 2162-6502

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.6 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00058 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

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Association of Interleukin 10 (IL-10) Gene with Type 2 Diabetes Mellitus by Single Nucleotide Polymorphism of Its Promotor Region G/A 1082

巻 30, 発行 4, 2020, pp. 285-289
DOI: 10.1615/CritRevEukaryotGeneExpr.2020030714
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要約

Interleukin 10 (IL-10) is an anti-inflammatory cytokine with lower circulating levels in patients with type 2 diabetes mellitus (T2DM). Cytokines such as IL-10 downregulate the production of pro-inflammatory cytokines, which impair proper function of insulin. So any mutation in the IL-10 gene results in increased production of proinflammatory cytokines, which in turn affect insulin action and cause T2DM. In this study, a polymorphism (rs1800896) in the gene (IL-10) and its association with T2DM was determined with the amplification-refractory mutation system with PCR (ARMS-PCR). Study subjects were divided in two groups, control and T2DM. DNA was extracted from blood, and ARMS-PCR was performed by using specific primers for the promoter region. An amplified product was obtained at 258 base pairs (bp). In the control group, heterozygous bands with both alleles (A/G) were present, whereas AA and GG homozygosity was observed in the T2DM group. This polymorphism (rs1800896) in the IL-10 gene is associated with T2DM. Physical measurements were also obtained, and significant differences between the groups were determined with an independent t-test. Significance was based on a p-value level of 0.05 or less, and highly significant was based on a p-value of 0.01 or less at 95% confidence interval.

キーワード: ARMS-PCR, T2DM, DM, IL-10 gene
参考
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によって引用された
  1. Asgharzadeh Mohammad, Taghinejad Zahra, Asgharzadeh Vahid, Mehramouz Bahareh, Rashedi Jalil, Mahdavipoor Behroz, Pourostadi Mahya, Vegari Ali, Vishkaei Ali Safarzad, Taghizadeh Sepehr, Kafil Hossein Samadi, Polymorphism of the IL-10 gene in Azeri population of Iran, Egyptian Journal of Medical Human Genetics, 23, 1, 2022. Crossref

  2. Effects of Low-Volume High-Intensity Interval Training Compared to Moderate-Intensity Continuous Training on Inflammatory Profile in Women with Type 2 Diabetes, Advances in Geriatric Medicine and Research, 2022. Crossref

  3. Albogami Sarah, Hassan Aziza, Abdel-Aziem Sekena H., Alotaibi Saqer, Althobaiti Fayez, El-Shehawi Ahmed, Alnefaie Alaa, Alhamed Reem Abdulla, Effects of combination of obesity, diabetes, and hypoxia on inflammatory regulating genes and cytokines in rat pancreatic tissues and serum, PeerJ, 10, 2022. Crossref

  4. Graňák Karol, Vnučák Matej, Beliančinová Monika, Kleinová Patrícia, Pytliaková Margaréta, Miklušica Juraj, Dedinská Ivana, Adiponectin/Leptin Ratio as an Index to Determine Metabolic Risk in Patients after Kidney Transplantation, Medicina, 58, 11, 2022. Crossref

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