{"id":10259,"date":"2020-06-29T09:36:52","date_gmt":"2020-06-29T09:36:52","guid":{"rendered":"https:\/\/bgrssb.icgbio.ru\/2020\/2020\/06\/29\/clinical-and-metabolic-parameters-associated-with-time-in-ranges-and-glucose-variability-in-patients-with-type-2-diabetes-treated-with-insulin\/"},"modified":"2020-06-29T09:36:52","modified_gmt":"2020-06-29T09:36:52","slug":"clinical-and-metabolic-parameters-associated-with-time-in-ranges-and-glucose-variability-in-patients-with-type-2-diabetes-treated-with-insulin","status":"publish","type":"post","link":"https:\/\/bgrssb.icgbio.ru\/2020\/2020\/06\/29\/clinical-and-metabolic-parameters-associated-with-time-in-ranges-and-glucose-variability-in-patients-with-type-2-diabetes-treated-with-insulin\/","title":{"rendered":"Clinical and metabolic parameters associated with time in ranges and glucose variability in patients with type 2 diabetes treated with insulin"},"content":{"rendered":"<p>Poster (<a href=\"https:\/\/bgrssb.icgbio.ru\/wp-content\/uploads\/2020\/07\/458.pdf\">download<\/a>)<br \/>\n    <br \/><a href=\"https:\/\/bgrssb.icgbio.ru\/wp-content\/uploads\/2020\/07\/458.pdf\" class=\"pdfemb-viewer\" style=\"\" data-width=\"max\" data-height=\"max\"  data-toolbar=\"bottom\" data-toolbar-fixed=\"off\">458<br\/><\/a><br \/>Julia F. Semenova<sup>1<\/sup>, Maksim V. Dashkin<sup>2<\/sup>, Olga N. Fazullina<sup>3<\/sup><br \/><sup>1<\/sup>Laboratory of Endocrinology Research Institute of Clinical and Experimental Lymphology &#8211; Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences(RICEL &#8211; Branch of IC&amp;G SB RAS) Novosibirsk, Russia, ekmxtyjr@yandex.ru<br \/><sup>2<\/sup>Research Institute of Clinical and Experimental Lymphology &#8211; Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL &#8211; Branch of IC&amp;G SB RAS) Novosibirsk, Russia, mdashkin@invitro.ru<br \/><sup>3<\/sup>Laboratory of Endocrinology Research Institute of Clinical and Experimental Lymphology &#8211; Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences(RICEL &#8211; Branch of IC&amp;G SB RAS) Novosibirsk, Russia, fazullina@ngs.ru<\/p>\n<p><strong><em>Background and aim: <\/em>Continuous glucose monitoring (CGM) provides an excellent opportunity for in-depth assessment of glycemic control and glucose variability (GV) in diabetic subjects. The aim of our study was to determine the clinical and metabolic parameters associated with non-targeted time in range (TIR) increased GV in patients with type 2 diabetes (T2D) treated with insulin.\u0412\u00a0<\/strong><strong><em>Materials and Methods: <\/em>One hundred and thirty six insulin-treated patients with T2D were included. Real-time or blinded CGM was performed using <em>Medtronic <\/em>CGM devices. The TIR and Mean Amplitude of Glucose Excursion (MAGE) were estimated. The advance glycation end-products (AGEs) levels were measured in blood serum by ELISA.\u0412\u00a0<\/strong><strong><em>Results: <\/em><\/strong><strong>Patients with non-targeted TIR (&gt;70%) had higher glycated hemoglobin HbA1c, triglycerides and proteinuria as compared to those with targeted TIR. Urinary albumin-to-creatinine ratio tended to be higher in patients with non-targeted TIR also. Patients with higher MAGE (&gt;4.5 mmol\/l) demonstrated lower levels of triglycerides and uric acid and increased AGEs levels as compared to those with MAGE &lt;4.5 mmol\/l.\u0412\u00a0<\/strong><strong>Conclusions: In T2D subjects, non-targeted TIR is associated with hypertriglyceridemia and proteinuria, meantime, increased MAGE is related to lower serum levels of triglycerides and uric acid and higher levels of AGEs.<\/strong><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Poster (download) Julia F. Semenova1, Maksim V. Dashkin2, Olga N. Fazullina31Laboratory of Endocrinology Research Institute of Clinical and Experimental Lymphology &#8211; Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences(RICEL &#8211; Branch of IC&amp;G SB RAS) Novosibirsk, Russia, ekmxtyjr@yandex.ru2Research Institute of Clinical and Experimental Lymphology &#8211; Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL &#8211; Branch of IC&amp;G SB RAS) Novosibirsk, Russia, mdashkin@invitro.ru3Laboratory of Endocrinology Research Institute of Clinical and Experimental Lymphology &#8211; Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences(RICEL &#8211; Branch of IC&amp;G SB RAS) Novosibirsk, Russia, fazullina@ngs.ru Background and aim: Continuous glucose monitoring (CGM) provides an excellent opportunity for in-depth assessment of glycemic control and glucose variability (GV) in diabetic subjects. The aim of our study was to determine the clinical and metabolic parameters associated with non-targeted time in range (TIR) increased GV in patients with type 2 diabetes (T2D) treated with insulin.\u0412\u00a0Materials and Methods: One hundred and thirty six insulin-treated patients with T2D were included. Real-time or blinded CGM was performed using Medtronic CGM devices. The TIR and Mean Amplitude of Glucose Excursion (MAGE) were estimated. The advance glycation end-products (AGEs) levels were measured in blood serum by ELISA.\u0412\u00a0Results: Patients with non-targeted TIR (&gt;70%) had higher glycated hemoglobin HbA1c, triglycerides and proteinuria as compared to those with targeted TIR. Urinary albumin-to-creatinine ratio tended to be higher in patients with non-targeted TIR also. Patients with higher MAGE (&gt;4.5 mmol\/l) demonstrated lower levels of triglycerides and uric acid and increased AGEs levels as compared to those with MAGE &lt;4.5 mmol\/l.\u0412\u00a0Conclusions: In T2D subjects, non-targeted TIR is associated with hypertriglyceridemia and proteinuria, meantime, increased MAGE is related to lower serum levels of triglycerides and uric acid and higher levels of AGEs. &nbsp;<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2173],"tags":[1195,2047,1379,2048,1437],"_links":{"self":[{"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/posts\/10259"}],"collection":[{"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/comments?post=10259"}],"version-history":[{"count":0,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/posts\/10259\/revisions"}],"wp:attachment":[{"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/media?parent=10259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/categories?post=10259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/tags?post=10259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}