{"title":"日本 2 型糖尿病患者脑成像生物标志物与连续血糖监测得出的血糖控制指数之间的关系","authors":"Chikako Inoue, Yoshiki Kusunoki, Mana Ohigashi, Keiko Osugi, Kazuhiro Kitajima, Ayako Takagi, Maki Inoue, Chisako Yagi, Taku Tsunoda, Miki Kakutani, Manabu Kadoya, Kosuke Konishi, Tomoyuki Katsuno, Hidenori Koyama","doi":"10.1136/bmjdrc-2023-003744","DOIUrl":null,"url":null,"abstract":"Introduction Although type 2 diabetes mellitus (T2DM) is associated with alterations in brain structure, the relationship between glycemic control indices and brain imaging markers remains unclear. This study aimed to investigate the association between continuous glucose monitoring (CGM)-derived glycemic control indices and brain imaging biomarkers assessed by MRI. Research design and methods This cross-sectional study included 150 patients with T2DM. The severity of cerebral white matter lesions (WMLs) was assessed using MRI for deep and subcortical white matter and periventricular hyperintensities. The degree of medial temporal lobe atrophy (MTA) was assessed using voxel-based morphometry. Each participant wore a retrospective CGM for 14 consecutive days, and glycemic control indices, such as time in range (TIR) and glycemia risk index (GRI), were calculated. Results The proportion of patients with severe WMLs showed a decreasing trend with increasing TIR ( P for trend=0.006). The proportion of patients with severe WMLs showed an increasing trend with worsening GRI ( P for trend=0.011). In contrast, no significant association was observed between the degree of MTA and CGM-derived glycemic control indices, including TIR ( P for trend=0.325) and GRI ( P for trend=0.447). Conclusions The findings of this study indicate that the severity of WMLs is associated with TIR and GRI, which are indices of the quality of glycemic control. Trial registration number UMIN000032143. Data are available upon reasonable request. The individual de-identified participant data will be shared with the corresponding author upon reasonable request.","PeriodicalId":9151,"journal":{"name":"BMJ Open Diabetes Research & Care","volume":"23 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between brain imaging biomarkers and continuous glucose monitoring-derived glycemic control indices in Japanese patients with type 2 diabetes mellitus\",\"authors\":\"Chikako Inoue, Yoshiki Kusunoki, Mana Ohigashi, Keiko Osugi, Kazuhiro Kitajima, Ayako Takagi, Maki Inoue, Chisako Yagi, Taku Tsunoda, Miki Kakutani, Manabu Kadoya, Kosuke Konishi, Tomoyuki Katsuno, Hidenori Koyama\",\"doi\":\"10.1136/bmjdrc-2023-003744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction Although type 2 diabetes mellitus (T2DM) is associated with alterations in brain structure, the relationship between glycemic control indices and brain imaging markers remains unclear. This study aimed to investigate the association between continuous glucose monitoring (CGM)-derived glycemic control indices and brain imaging biomarkers assessed by MRI. Research design and methods This cross-sectional study included 150 patients with T2DM. The severity of cerebral white matter lesions (WMLs) was assessed using MRI for deep and subcortical white matter and periventricular hyperintensities. The degree of medial temporal lobe atrophy (MTA) was assessed using voxel-based morphometry. Each participant wore a retrospective CGM for 14 consecutive days, and glycemic control indices, such as time in range (TIR) and glycemia risk index (GRI), were calculated. Results The proportion of patients with severe WMLs showed a decreasing trend with increasing TIR ( P for trend=0.006). The proportion of patients with severe WMLs showed an increasing trend with worsening GRI ( P for trend=0.011). In contrast, no significant association was observed between the degree of MTA and CGM-derived glycemic control indices, including TIR ( P for trend=0.325) and GRI ( P for trend=0.447). Conclusions The findings of this study indicate that the severity of WMLs is associated with TIR and GRI, which are indices of the quality of glycemic control. Trial registration number UMIN000032143. Data are available upon reasonable request. The individual de-identified participant data will be shared with the corresponding author upon reasonable request.\",\"PeriodicalId\":9151,\"journal\":{\"name\":\"BMJ Open Diabetes Research & Care\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Open Diabetes Research & Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjdrc-2023-003744\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Open Diabetes Research & Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjdrc-2023-003744","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Association between brain imaging biomarkers and continuous glucose monitoring-derived glycemic control indices in Japanese patients with type 2 diabetes mellitus
Introduction Although type 2 diabetes mellitus (T2DM) is associated with alterations in brain structure, the relationship between glycemic control indices and brain imaging markers remains unclear. This study aimed to investigate the association between continuous glucose monitoring (CGM)-derived glycemic control indices and brain imaging biomarkers assessed by MRI. Research design and methods This cross-sectional study included 150 patients with T2DM. The severity of cerebral white matter lesions (WMLs) was assessed using MRI for deep and subcortical white matter and periventricular hyperintensities. The degree of medial temporal lobe atrophy (MTA) was assessed using voxel-based morphometry. Each participant wore a retrospective CGM for 14 consecutive days, and glycemic control indices, such as time in range (TIR) and glycemia risk index (GRI), were calculated. Results The proportion of patients with severe WMLs showed a decreasing trend with increasing TIR ( P for trend=0.006). The proportion of patients with severe WMLs showed an increasing trend with worsening GRI ( P for trend=0.011). In contrast, no significant association was observed between the degree of MTA and CGM-derived glycemic control indices, including TIR ( P for trend=0.325) and GRI ( P for trend=0.447). Conclusions The findings of this study indicate that the severity of WMLs is associated with TIR and GRI, which are indices of the quality of glycemic control. Trial registration number UMIN000032143. Data are available upon reasonable request. The individual de-identified participant data will be shared with the corresponding author upon reasonable request.
期刊介绍:
BMJ Open Diabetes Research & Care is an open access journal committed to publishing high-quality, basic and clinical research articles regarding type 1 and type 2 diabetes, and associated complications. Only original content will be accepted, and submissions are subject to rigorous peer review to ensure the publication of
high-quality — and evidence-based — original research articles.