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All issues Volume 391 (2023) E3S Web Conf., 391 (2023) 01123 References
Open Access
Issue
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
Article Number 01123
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/202339101123
Published online 05 June 2023
  1. Ganesan, Vithiya, Mariappan Murugan, Raja Sundaramurthy, and Geni V.G. Soundaram. “Melioidosis in a tertiary care center from South India: a 5-year experience.” Indian Journal of Critical Care Medicine: Peer-reviewed, Official Publication of Indian Society of Critical Care Medicine 25, no. 3 (2021): 327. [CrossRef] [PubMed] [Google Scholar]
  2. Relationship between CT Severity Score and Capillary Blood Oxygen Saturation in Patients with COVID-19 Infection [Google Scholar]
  3. Chen, L., D.J. Magliano, and P.Z. Zimmet, The worldwide epidemiology of type 2 diabetes mellitus— present and future perspectives. Nature reviews endocrinology, 2012. 8(4): p. 228–236. [CrossRef] [Google Scholar]
  4. Zheng, Y., S.H. Ley, and F.B. Hu, Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nature reviews endocrinology, 2018. 14(2): p. 88–98. [CrossRef] [PubMed] [Google Scholar]
  5. Azevedo, M. and S. Alla, Diabetes in sub-saharan Africa: kenya, mali, mozambique, Nigeria, South Africa and zambia. International journal of diabetes in developing countries, 2008. 28(4): p. 101. [CrossRef] [PubMed] [Google Scholar]
  6. DeFronzo, R.A., et al., Type 2 diabetes mellitus. Nature Reviews Disease Primers, 2015. 1(1): p. 15019. [CrossRef] [PubMed] [Google Scholar]
  7. DeFronzo, R.A., From the triumvirate to the ominous octet: a new paradigm for the treatment of type 2 diabetes mellitus. Diabetes, 2009. 58(4): p. 773–795. [CrossRef] [PubMed] [Google Scholar]
  8. Abdul-Ghani, M.A., D. Tripaťhy, and R.A. DeFronzo, Contributions of ß-cell dysfunction and insulin resistance to the pathogenesis of impaired glucose tolerance and impaired fasting glucose. Diabetes care, 2006. 29(5): p. 1130–1139. [CrossRef] [PubMed] [Google Scholar]
  9. Bansal, N., Prediabetes diagnosis and treatment: A review. World journal of diabetes, 2015. 6(2): p. 296. [CrossRef] [PubMed] [Google Scholar]
  10. Khetan, A.K. and S. Rajagopalan, Prediabetes. Canadian Journal of Cardiology, 2018. 34(5): p. 615–623. [CrossRef] [Google Scholar]
  11. Sinha, M., Sturis J., Ohannesian J., Magosin S., Stephens T., Polonsky K., Caro J. Ultradian oscillations of leptin in humans. Biochem Biophys Res Commun, 1996. 228: 733–738. [CrossRef] [PubMed] [Google Scholar]
  12. Ye, F., et al., Vesicular storage, vesicle trafficking, and secretion of leptin and resistin: the similarities, differences, and interplays. Journal of endocrinology, 2010. 206(1): p. 27. [CrossRef] [PubMed] [Google Scholar]
  13. Poetsch, M.S., A. Strano, and K. Guan, Role of Leptin in Cardiovascular Diseases. Frontiers in Endocrinology, 2020. 11. [PubMed] [Google Scholar]
  14. Tanaka, T., et al., Impact of oxidative stress on plasma adiponectin in patients with chronic heart failure. Circulation Journal, 2007. 72(4): p. 563–568. [CrossRef] [Google Scholar]
  15. Hotta, K., et al., Plasma concentrations of a novel, adipose-specific protein, adiponectin, in type 2 diabetic patients. Arteriosclerosis, thrombosis, and vascular biology, 2000. 20(6): p. 1595–1599. [CrossRef] [PubMed] [Google Scholar]
  16. Bahceci, M., et al., The correlation between adiposity and adiponectin, tumor necrosis factor a, interleukin-6 and high sensitivity C-reactive protein levels. Is adipocyte size associated with inflammation in adults? Journal of endocrinological investigation, 2007. 30(3): p. 210–214. [Google Scholar]
  17. Neuparth, M.J., et al., Adipokines, oxidized low-density lipoprotein, and C-reactive protein levels in lean, overweight, and obese Portuguese patients with type 2 diabetes. International Scholarly Research Notices, 2013. 2013. [Google Scholar]
  18. Snijder, M.B., et al., Associations of adiponectin levels with incident impaired glucose metabolism and type 2 diabetes in older men and women: the hoorn study. Diabetes care, 2006. 29(11): p. 2498–2503. [CrossRef] [PubMed] [Google Scholar]
  19. Moonishaa, T.M., et al., Evaluation of leptin as a marker of insulin resistance in type 2 diabetes mellitus. International Journal of Applied and Basic Medical Research, 2017. 7(3): p. 176. [CrossRef] [PubMed] [Google Scholar]
  20. Coimbra, S., et al., Adiponectin, leptin, and chemerin in elderly patients with type 2 diabetes mellitus: a close linkage with obesity and length of the disease. BioMed research international, 2014. 2014. [PubMed] [Google Scholar]
  21. Katsiki, N., D.P. Mikhailidis, and M. Banach, Leptin, cardiovascular diseases and type 2 diabetes mellitus. Acta Pharmacologica Sinica, 2018. 39(7): p. 1176–1188. [CrossRef] [PubMed] [Google Scholar]
  22. Sari, R., M.K. Balci, and C. Apaydin, The relationship between plasma leptin levels and chronic complication in patients with type 2 diabetes mellitus. Metabolic syndrome and related disorders, 2010. 8(6): p. 499–503. [CrossRef] [PubMed] [Google Scholar]
  23. Ozder, A., Lipid profile abnormalities seen in T2DM patients in primary healthcare in Turkey: a cross-sectional study. Lipids in health and disease, 2014. 13(1): p. 1–6. [CrossRef] [Google Scholar]
  24. Shahwan, M.J., et al., Prevalence of dyslipidemia and factors affecting lipid profile in patients with type 2 diabetes. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2019. 13(4): p. 2387–2392. [CrossRef] [Google Scholar]
  25. Wolide, A.D., et al., Association of trace metal elements with lipid profiles in type 2 diabetes mellitus patients: a cross sectional study. BMC Endocrine Disorders, 2017. 17(1): p. 1–7. [CrossRef] [PubMed] [Google Scholar]
  26. Artha, I.M.J.R., et al., High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus. Vascular Health and Risk Management, 2019. 15: p. 149. [CrossRef] [Google Scholar]

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