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Network analysis identifies common genes associated with obesity in six obesity-related diseases

网络分析筛选六种与肥胖相关疾病的共同的肥胖基因

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摘要

目 的

通过筛选在六种与肥胖相关疾病中发挥作用的共同的肥胖基因, 阐明肥胖在疾病发生及发展中的作用, 为预防及治疗肥胖相关的一系列疾病提供参考。

创新点

首次分析了与肥胖相关疾病的共同的肥胖基因, 为解释肥胖与疾病的关系提供理论支持。

方 法

从疾病及肥胖数据库中获得与疾病和肥胖相关的基因, 利用生物信息学软件进行蛋白互作网络分析和中心基因分析, 筛选中心基因; 对疾病与肥胖数据库中的重叠基因进行GO(Gene Ontology,基因本体)功能富集, 获得在疾病中发挥作用的共同的基因本体功能集群。

结 论

通过分析初步推测六种与肥胖相关疾病中的31个中心基因中包括17 个肥胖基因, 每种疾病与肥胖的重叠基因具有一些相同的基因本体功能集群。

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References

  • An, O., Dall’Olio, G.M., Mourikis, T.P., et al., 2016. NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings. Nucleic Acids Res., 44(D1): D992–D999. http://dx.doi.org/10.1093/nar/gkv1123

    Article  CAS  PubMed  Google Scholar 

  • Assenov, Y., Ramírez, F., Schelhorn, S.E., et al., 2008. Computing topological parameters of biological networks. Bioinformatics, 24(2): 282–284. http://dx.doi.org/10.1093/bioinformatics/btm554

    Article  CAS  PubMed  Google Scholar 

  • Blackburn, G.L., Wang, K.A., 2007. Dietary fat reduction and breast cancer outcome: results from the Women’s Intervention Nutrition Study (WINS). Am. J. Clin. Nutr., 86(3): 878S–881S.

    CAS  Google Scholar 

  • Boffetta, P., Hashibe, M., la Vecchia, C., et al., 2006. The burden of cancer attributable to alcohol drinking. Int. J. Cancer, 119(4): 884–887. http://dx.doi.org/10.1002/ijc.21903

    Article  CAS  PubMed  Google Scholar 

  • Dai, H.J., Wu, J.C., Tsai, R.T., et al., 2013. T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes. Database, 2013: bas061. http://dx.doi.org/10.1093/database/bas061

    Article  PubMed  PubMed Central  Google Scholar 

  • Eckel, N., Meidtner, K., Kalle-Uhlmann, T., et al., 2016. Metabolically healthy obesity and cardiovascular events: a systematic review and meta-analysis. Eur. J. Prev. Cardiol., 23(9): 956–966. http://dx.doi.org/10.1177/2047487315623884

    Article  PubMed  Google Scholar 

  • Gao, H.H., Gao, L.B., Wen, J.M., 2014. Genetic polymorphisms in the ESR1 gene and cerebral infarction risk: a meta-analysis. DNA Cell Biol., 33(9): 605–615. http://dx.doi.org/10.1089/dna.2013.2270

    Article  CAS  PubMed  Google Scholar 

  • Gao, Y., Huang, Y., Song, F., et al., 2016. Urban-rural disparity of overweight/obesity distribution and its potential trend with breast cancer among Chinese women. Oncotarget, 7(35): 56608–56618. http://dx.doi.org/10.18632/oncotarget.10968

    Article  PubMed  PubMed Central  Google Scholar 

  • Gateva, A.T., Kamenov, Z.A., 2012. Markers of visceral obesity and cardiovascular risk in patients with polycystic ovarian syndrome. Eur. J. Obstet. Gynecol. Reprod. Biol., 164(2): 161–166. http://dx.doi.org/10.1016/j.ejogrb.2012.05.037

    Article  PubMed  Google Scholar 

  • Gateva, A., Kamenov, Z., Tsakova, A., 2013. NT-proBNP levels in premenopausal women with polycystic ovarian syndrome and/or obesity. J. Obstet. Gynaecol., 33(8): 868–872. http://dx.doi.org/10.3109/01443615.2013.813912

    Article  CAS  PubMed  Google Scholar 

  • Hancock, S.B., Georgiades, C.S., 2016. Kidney cancer. Cancer J., 22(6): 387–392. http://dx.doi.org/10.1097/PPO.0000000000000225

    Article  Google Scholar 

  • Hwang, J.Y., Lee, H.J., Go, M.J., et al., 2016. An integrative study identifies KCNC2 as a novel predisposing factor for childhood obesity and the risk of diabetes in the Korean population. Sci. Rep., 6: 33043. http://dx.doi.org/10.1038/srep33043

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Jiang, N., Yang, G., Peng, C.L., 2015. ESR1 gene polymorphisms PvuII (rs2234693T>C) and XbaI (rs9340799A>G) may not be directly correlated with cardiovascular disease risk. Genet. Mol. Res., 14(4): 13932–13944. http://dx.doi.org/10.4238/2015.October.29.14

    Article  CAS  PubMed  Google Scholar 

  • Johnson, K.C., Miller, A.B., Collishaw, N.E., et al., 2011. Active smoking and secondhand smoke increase breast cancer risk: the report of the Canadian Expert Panel on Tobacco Smoke and Breast Cancer Risk (2009). Tob. Control, 20(1): e2. http://dx.doi.org/10.1136/tc.2010.035931

    Article  PubMed  Google Scholar 

  • Kaiser, J., 2013. Cholesterol forges link between obesity and breast cancer. Science, 342(6162): 1028. http://dx.doi.org/10.1126/science.342.6162.1028

    Article  CAS  PubMed  Google Scholar 

  • Kivimäki, P.M., Nyberg, S.T., Batty, G.D., et al., 2012. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet, 380(9852): 1491–1497. http://dx.doi.org/10.1016/S0140-6736(12)60994-5

    Article  PubMed  PubMed Central  Google Scholar 

  • Kohl, M., Wiese, S., Warscheid, B., 2011. Cytoscape: software for visualization and analysis of biological networks. In: Hamacher, M., Eisenacher, M., Stephan, C. (Eds.), Data Mining in Proteomics. Methods in Molecular Biology (Methods and Protocols), Vol. 696. Humana Press, p.291–303. http://dx.doi.org/10.1007/978-1-60761-987-1_18

    Chapter  Google Scholar 

  • Kumar, N., Afeyan, R., Sheppard, S., et al., 2007. Quantitative analysis of Akt phosphorylation and activity in response to EGF and insulin treatment. Biochem. Biophys. Res. Commun., 354(1): 14–20. http://dx.doi.org/10.1016/j.bbrc.2006.12.188

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lackland, D.T., Weber, M.A., 2015. Global burden of cardiovascular disease and stroke: hypertension at the core. Can. J. Cardiol., 31(5): 569–571. http://dx.doi.org/10.1016/j.cjca.2015.01.009

    Article  PubMed  Google Scholar 

  • Linnér, C., Svartberg, J., Giwercman, A., et al., 2013. Estrogen receptor alpha single nucleotide polymorphism as predictor of diabetes type 2 risk in hypogonadal men. Aging Male, 16(2): 52–57. http://dx.doi.org/10.3109/13685538.2013.772134

    Article  PubMed  Google Scholar 

  • Liu, H., Liu, W., Liao, Y., et al., 2011. CADgene: a comprehensive database for coronary artery disease genes. Nucleic Acids Res., 39(suppl 1): D991–D996. http://dx.doi.org/10.1093/nar/gkq1106

    Article  CAS  PubMed  Google Scholar 

  • Mehta, P.K., Wei, J., Wenger, N.K., 2015. Ischemic heart disease in women: a focus on risk factors. Trends Cardiovasc. Med., 25(2): 140–151. http://dx.doi.org/10.1016/j.tcm.2014.10.005

    Article  PubMed  Google Scholar 

  • Moran, L.J., Ko, H., Misso, M., et al., 2013. Dietary composition in the treatment of polycystic ovary syndrome: a systematic review to inform evidence-based guidelines. Hum. Reprod. Update, 19(5): 432. http://dx.doi.org/10.1093/humupd/dmt015

    Article  PubMed  Google Scholar 

  • Nafiye, Y., Sevtap, K., Muammer, D., et al., 2010. The effect of serum and intrafollicular insulin resistance parameters and homocysteine levels of nonobese, nonhyperandrogenemic polycystic ovary syndrome patients on in vitro fertilization outcome. Fertil. Steril., 93(6): 1864–1869. http://dx.doi.org/10.1016/j.fertnstert.2008.12.024

    Article  CAS  PubMed  Google Scholar 

  • Nagrani, R., Mhatre, S., Rajaraman, P., et al., 2016. Central obesity increases risk of breast cancer irrespective of menopausal and hormonal receptor status in women of South Asian Ethnicity. Eur. J. Cancer, 66: 153–161. http://dx.doi.org/10.1016/j.ejca.2016.07.022

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Poulter, N.R., Prabhakaran, D., Caulfield, M., 2015. Hypertension. Lancet, 386(9995): 801–812. http://dx.doi.org/10.1016/s0140-6736(14)61468-9

    Article  PubMed  Google Scholar 

  • Rogge, B.P., Cramariuc, D., Lønnebakken, M.T., et al., 2013. Effect of overweight and obesity on cardiovascular events in asymptomatic aortic stenosis: a SEAS substudy (Simvastatin Ezetimibe in Aortic Stenosis). J. Am. Coll. Cardiol., 62(18): 1683–1690. http://dx.doi.org/10.1016/j.jacc.2013.04.081

    Article  PubMed  Google Scholar 

  • Sarwar, N., Gao, P., Kondapally Seshasai, S.R., et al., 2010. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet, 375(9733): 2215–2222. http://dx.doi.org/10.1016/S0140-6736(10)60484-9

    Article  CAS  PubMed  Google Scholar 

  • Sherman, B.T., Huang, D.W., Tan, Q., et al., 2007. DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate highthroughput gene functional analysis. BMC Bioinformatics, 8: 426. http://dx.doi.org/10.1186/1471-2105-8-426

    Article  PubMed  PubMed Central  Google Scholar 

  • Snel, B., Lehmann, G., Bork, P., et al., 2000. STRING: a webserver to retrieve and display the repeatedly occurring neighbourhood of a gene. Nucleic Acids Res., 28(18): 3442–3444. http://dx.doi.org/10.1093/nar/28.18.3442

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Vilarrasa, N., Rubio, M.A., Miñambres, I., et al., 2017. Long-term outcomes in patients with morbid obesity and type 1 diabetes undergoing bariatric surgery. Obes. Surg., 27(4): 856–863. http://dx.doi.org/10.1007/s11695-016-2390-y

    Article  PubMed  Google Scholar 

  • Wilson, K.M., Cho, E., 2016. Obesity and kidney cancer. In: Pischon, T., Nimptsch, K. (Eds.), Obesity and Cancer. Recent Results in Cancer Research, Vol. 208. Springer, Cham., p.81–93. http://dx.doi.org/10.1007/978-3-319-42542-9_5

    Google Scholar 

  • Zhang, G., Liu, Z., Xu, H., et al., 2016. miR-409-3p suppresses breast cancer cell growth and invasion by targeting Akt1. Biochem. Biophys. Res. Commun., 469(2): 189–195. http://dx.doi.org/10.1016/j.bbrc.2015.11.099

    Article  CAS  PubMed  Google Scholar 

  • Zhang, Y., Zhang, M., Yuan, X., et al., 2015. Association between ESR1 PvuII, XbaI, and P325P polymorphisms and breast cancer susceptibility: a meta-analysis. Med. Sci. Monit., 21: 2986–2996. http://dx.doi.org/10.12659/MSM.894010

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

  1. Department of Biology, Hebei North University, Zhangjiakou, 075029, China

    Li-ning Su & Hui-ping Wei

  2. Department of Public Sports, Hebei North University, Zhangjiakou, 075029, China

    Yan-bing Wang

  3. Department of Cardiac Function Examination, the First Affiliated Hospital, Hebei North University, Zhangjiakou, 075061, China

    Chun-guang Wnag

Authors
  1. Li-ning Su
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  2. Yan-bing Wang
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  3. Chun-guang Wnag
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  4. Hui-ping Wei
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Correspondence to Hui-ping Wei.

Additional information

Project supported by the Key Project of Hebei North University (No. 120177) and the Key Project of Medical Science Research in Hebei Province (No. 20150061), China

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Su, Ln., Wang, Yb., Wnag, Cg. et al. Network analysis identifies common genes associated with obesity in six obesity-related diseases. J. Zhejiang Univ. Sci. B 18, 727–732 (2017). https://doi.org/10.1631/jzus.B1600454

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