E.V. Ivanov1, M.R. Akhmetshina2, A.R. Gizatulina3, A.A. Glazkov4, Yu.A. Kovaleva5, S.A. Gavrilova6
1–3,6 Lomonosov Moscow State University (Moscow, Russia)
4,5 Moscow Regional Research and Clinical Institute ("MONIKI") (Moscow, Russia)
1 ivanovev102@yandex.ru, 2 Marina2842@gmail.com, 3 albina.giz@yandex.ru, 4 staaglz@gmail.com, 5 yulia.kovaleva@mail.ru, 6 sgavrilova@mail.ru
Microcirculatory disorders are the most common complication of type 2 diabetes mellitus (DM2). Severe obesity is usually associated with more severe microangiopathy. However, the characteristics of microcirculatory complications in patients with different combinations of obesity and diabetes are not fully known. Type 2 diabetes mellitus not accompanied by obesity may be associated with other factors in the development and aggravation of disease severity. Aim of the study: to perform an analysis of factors associated with tissue blood flow abnormalities in patients with DM2 with and without obesity.
Twenty patients with DM2, including 10 with obesity and 10 without obesity, were selected for the study. A wide range of peripheral blood flow parameters were simultaneously determined by the method of incoherent optical fluctuation flowmetry: median perfusion, postocclusive reactive hyperemia index, response to heat test at different stages, pulse waveform. Along with routine biochemical parameters (concentration of glucose, triglycerides, total cholesterol, glycated hemoglobin, number of erythrocytes and hemoglobin, AST and ALT) we determined insulin concentration and insulin resistance index HOMA-IR.
The presence of obesity did not significantly affect the perfusion parameters in patients; no differences were found in any of the measured parameters when dividing into groups on the basis of BMI 35 kg/m2. At the same time high glucose concentration and high level of glycated hemoglobin statistically significantly correlated with decreased vascular reactivity to heating. When clearly divided into two groups by BMI value, patients differed in their metabolic state. It can be noted that dyslipidemia was significantly higher among obese patients. This is directly related to the volume of adipose tissue, dietary patterns. High cholesterol concentration correlated with increased perfusion: indices of postocclusive reactive hyperemia, baseline perfusion at two points, response to heat test and high BMI. High insulin concentration and increased HOMA-IR index were significantly correlated with pulse waveform abnormalities regardless of BMI.
Among the parameters affecting the degree of tissue blood flow disturbance in patients with type 2 diabetes mellitus, the parameters related to the level of glycemia are the most important. At the same time, the main parameters characterizing the degree of obesity not only do not affect but can also be associated with better characteristics of microcirculation. The presence of insulin resistance, manifested by high insulin concentration and increased HOMA-IR index, correlates with impaired pulse waveform index. The results obtained show the necessity to clarify the form of obesity among all patients with diabetes mellitus regardless of BMI and the expediency of tissue blood flow monitoring in patients with severe hyperglycemia.
Ivanov E.V., Akhmetshina M.R., Gizatulina A.R., Glazkov A.A., Kovaleva Yu.A., Gavrilova S.A. Associations between peripheral blood flow and metabolic state in patients with type 2 diabetes mellitus. Technologies of Living Systems. 2024. V. 21. № 1. Р. 20-28. DOI: https://doi.org/10.18127/j20700997-202401-02 (In Russian)
- Strain W.D., Paldánius P.M. Diabetes, cardiovascular disease and the microcirculation. Cardiovasc Diabetol. 2018. V. 17. № 1.
- Ruze R., Liu T., Zou X., Song J., Chen Y., Xu R., Yin X., Xu Q. Obesity and type 2 diabetes mellitus: connections in epidemiology, pathogenesis, and treatments. Front. Endocrinol. (Lausanne). 2023. V. 14.
- Gurfinkel Yu.I., Makeyeva O.V. Osobennosti mikrotsirkulyatsii u patsiyentov s sakharnym diabetom 2-go tipa. Tekhnologii zhivykh sistem. 2011. T. 8. № 2. S. 44–49. (in Russian).
- Piché M.E., Tchernof A., Després J.P. Obesity Phenotypes, Diabetes, and Cardiovascular Diseases. Circ. Res. 2020. V. 126. № 11. P. 1477–1500.
- Glazkova P., Glazkov A., Kulikov D., Lapitan D., Zagarov S., Larkov R., Babenko A., Kononova Y., Kovaleva Y., Kitaeva E., Mazur N., Britvin T., Rogatkin D. Incoherent optical fluctuation flowmetry for detecting limbs with hemodynamically significant stenoses in patients with type 2 diabetes. Endocrine. 2023. V. 82. № 3. P. 550–559.
- Glazkova P., Glazkov A., Kulikov D., Zagarov S., Kovaleva Y., Babenko A., Kononova Y., Kitaeva E., Britvin T., Mazur N., Larkov R., Rogatkin D. Incoherent Optical Fluctuation Flowmetry: A New Method for the Assessment of Foot Perfusion in Patients with Diabetes-Related Lower-Extremity Complications. Diagnostics (Basel). 2022. V. 12. № 12.
- Tahapary D.L., Pratisthita L.B., Fitri N.A., Marcella C., Wafa S., Kurniawan F., Rizka A., Tarigan T.J.E., Harbuwono D.S., Purnamasari D., Soewondo P. Challenges in the diagnosis of insulin resistance: Focusing on the role of HOMA-IR and Tryglyceride/glucose index. Diabetes Metab. Syndr. 2022. V. 16. № 8.
- Lapitan D.G., Glazkov A.A., Rogatkin D.A. Otsenka vozrastnykh izmeneniy elastichnosti stenok perifericheskikh sosudov metodom fotopletizmografii. Meditsinskaya fizika. 2020. T. 87. № 3. S. 71–77. (in Russian).
- Lapitan D.G., Glazkova P.A., Glazkov A.A., Rogatkin D.A., Kovaleva Y.A. Measurement of Pulse Wave Velocity Using Cuff Oscillometry and Toe Photoplethysmography. 2023 Radiation and Scattering of Electromagnetic Waves, RSEMW. Institute of Electrical and Electronics Engineers Inc. 2023. P. 348–351.
- Guilherme A., Virbasius J. V., Puri V., Czech M.P. Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes. Nat. Rev. Mol. Cell. Biol. 2008. V. 9. № 5. P. 367–377.
- Chen L., Chen X.W., Huang X., Song B.L., Wang Y., Wang Y. Regulation of glucose and lipid metabolism in health and disease. Sci. China Life Sci. 2019. V. 62. № 11. P. 1420–1458.
- Janssen J.A.M.J.L. Hyperinsulinemia and Its Pivotal Role in Aging, Obesity, Type 2 Diabetes, Cardiovascular Disease and Cancer. Int. J. Mol. Sci. 2021. V. 22. № 15.
- Bashir B., Iqbal Z., Adam S., Ferdousi M., Chick W., Hussein H.A., Syed A.A., Le Roux C.W., Cohen R. V., Malik R.A., Soran H. Microvascular complications of obesity and diabetes-Role of bariatric surgery. Obes. Rev. 2023. V. 24. № 10.
- Dzugkoyev S.G., Dzugkoyeva F.S., Gumanova N.G., Metelskaya V.A. Vliyaniye koenzima Q10. afobazola i L-karnitina i ikh kombinatsii s L-argininom na endotelialnuyu funktsiyu u krys s eksperimentalnym sakharnym diabetom. Voprosy biologicheskoy. meditsinskoy i farmatsevticheskoy khimii. 2012. № 11. S. 49–53. (in Russian).
- Tsatsoulis A., Paschou S.A. Metabolically Healthy Obesity: Criteria, Epidemiology, Controversies, and Consequences. Curr. Obes. Rep. 2020. V. 9. № 2. P. 109–120.
- Smith G.I., Mittendorfer B., Klein S. Metabolically healthy obesity: facts and fantasies. J. Clin. Invest. 2019. V. 129. № 10. P. 3978–3989.
- Iacobini C., Pugliese G., Blasetti Fantauzzi C., Federici M., Menini S. Metabolically healthy versus metabolically unhealthy obesity. Metabolism. 2019. V. 92. P. 51–60.
- Blüher M. Metabolically Healthy Obesity. Endocr. Rev. 2020. V. 41. № 3. P. 405–420.
- Anoop S., Misra A., Bhatt S.P., Gulati S., Mahajan H. High fasting C-peptide levels and insulin resistance in non-lean & non-obese (BMI >19 to 2) Asian Indians with type 2 diabetes are independently associated with high intra-abdominal fat and liver span. Diabetes Metab. Syndr. 2019. V. 13. № 1. P. 708–715.
- Kuang M., Lu S., Yang R., Chen H., Zhang S., Sheng G., Zou Y. Association of predicted fat mass and lean body mass with diabetes: a longitudinal cohort study in an Asian population. Front. Nutr. 2023. V. 10.
- Goel R., Malhotra B., Rastogi A., Singh T., Bhansali A., Bhadada S. Body fat patterning in lean Asian Indians with diabetes: Case-control study. Diabetes Metab. Syndr. 2023. V. 17. № 3.
- Younes R., Bugianesi E. NASH in Lean Individuals. Semin. Liver Dis. 2019. V. 39. № 1. P. 86–95.
- Muris D.M.J., Houben A.J.H.M., Kroon A.A., Henry R.M.A., Van Der Kallen C.J.H., Sep S.J.S., Koster A., Dagnelie P.C., Schram M.T., Stehouwer C.D.A. Age, waist circumference, and blood pressure are associated with skin microvascular flow motion: the Maastricht Study. J. Hypertens. 2014. V. 32. № 12. P. 2439–2449.
- Fuchs D., Dupon P.P., Schaap L.A., Draijer R. The association between diabetes and dermal microvascular dysfunction non-invasively assessed by laser Doppler with local thermal hyperemia: a systematic review with meta-analysis. Cardiovasc. Diabetol. 2017. V. 16. № 1.
- Klop B., Elte J.W.F., Cabezas M.C. Dyslipidemia in obesity: mechanisms and potential targets. Nutrients. 2013. V. 5. № 4. P. 1218–1240.
- Algotsson A. Serum lipids and lipoproteins are correlated to skin vessel reactivity in healthy women. J. Intern. Med. 1996. V. 239. № 2. P. 147–152.
- Wu S., Xu L., Wu M., Chen S., Wang Y., Tian Y. Association between triglyceride-glucose index and risk of arterial stiffness: a cohort study. Cardiovasc. Diabetol. 2021. V. 20. № 1.