Diabetes CarePub Date : 2024-09-12DOI: 10.2337/dc24-er12a
Pilar Isabel Beato-Víbora, Ana Chico, Jesus Moreno-Fernandez, Virginia Bellido-Castañeda, Lia Nattero-Chávez, María José Picón-César, María Asunción Martínez-Brocca, Marga Giménez-Álvarez, Eva Aguilera-Hurtado, Elisenda Climent-Biescas, Sharona Azriel-Mir, Ángel Rebollo-Román, Carmen Yoldi-Vergara, Marcos Pazos-Couselo, Nuria Alonso-Carril, Carmen Quirós
{"title":"Erratum. A Multicenter Prospective Evaluation of the Benefits of Two Advanced Hybrid Closed-Loop Systems in Glucose Control and Patient-Reported Outcomes in a Real-world Setting. Diabetes Care 2024;47:216–224","authors":"Pilar Isabel Beato-Víbora, Ana Chico, Jesus Moreno-Fernandez, Virginia Bellido-Castañeda, Lia Nattero-Chávez, María José Picón-César, María Asunción Martínez-Brocca, Marga Giménez-Álvarez, Eva Aguilera-Hurtado, Elisenda Climent-Biescas, Sharona Azriel-Mir, Ángel Rebollo-Román, Carmen Yoldi-Vergara, Marcos Pazos-Couselo, Nuria Alonso-Carril, Carmen Quirós","doi":"10.2337/dc24-er12a","DOIUrl":"https://doi.org/10.2337/dc24-er12a","url":null,"abstract":"In the article cited above, affiliation information for author Ana Chico was inadvertently omitted. The complete affiliation list for this author is below.Department of Endocrinology and Nutrition, Hospital Santa Creu i Sant Pau, Barcelona, SpainUniversitat Autònoma de Barcelona, Barcelona, SpainCIBER-BBN, Madrid, Spain The authors apologize for the omission. The online version of the article (https://doi.org/10.2337/dc23-1355) has been revised.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"9 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-09-11DOI: 10.2337/dc24-1033
Jessica K. Sprinkles, Anju Lulla, Autumn G. Hullings, Isis Trujillo-Gonzalez, Kevin C. Klatt, David R. Jacobs, Ravi V. Shah, Venkatesh L. Murthy, Annie Green Howard, Penny Gordon-Larsen, Katie A. Meyer
{"title":"Choline Metabolites and 15-Year Risk of Incident Diabetes in a Prospective Cohort of Adults: Coronary Artery Risk Development in Young Adults (CARDIA) Study","authors":"Jessica K. Sprinkles, Anju Lulla, Autumn G. Hullings, Isis Trujillo-Gonzalez, Kevin C. Klatt, David R. Jacobs, Ravi V. Shah, Venkatesh L. Murthy, Annie Green Howard, Penny Gordon-Larsen, Katie A. Meyer","doi":"10.2337/dc24-1033","DOIUrl":"https://doi.org/10.2337/dc24-1033","url":null,"abstract":"OBJECTIVE The potential for choline metabolism to influence the development of diabetes has received increased attention. Previous studies on circulating choline metabolites and incident diabetes have been conducted in samples of older adults, often with a high prevalence of risk factors. RESEARCH DESIGN AND METHODS Participants were from year 15 of follow-up (2000-2001) in the Coronary Artery Risk Development in Young Adults (CARDIA) Study (n = 3,133, aged 33–45 years) with plasma choline metabolite (choline, betaine, and trimethylamine N-oxide [TMAO]) data. We quantified associations between choline metabolites and 15-year risk of incident diabetes (n = 387) among participants free of diabetes at baseline using Cox proportional hazards regression models adjusted for sociodemographics, health behaviors, and clinical variables. RESULTS Betaine was inversely associated with 15-year risk of incident diabetes (hazard ratio 0.76 [95% CI 0.67, 0.88] per 1-SD unit betaine), and TMAO was positively associated with 15-year risk of incident diabetes (1.11 [1.01, 1.22] per 1-SD unit). Choline was not significantly associated with 15-year risk of incident diabetes (1.05 [0.94, 1.16] per 1-SD). CONCLUSIONS Our findings are consistent with other published literature supporting a role for choline metabolism in diabetes. Our study extends the current literature by analyzing a racially diverse population-based cohort of early middle-aged individuals in whom preventive activities may be most relevant.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"17 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-09-10DOI: 10.2337/dc24-0892
Simin Hua, Rania Kanchi, Rebecca Anthopolos, Mark D. Schwartz, Jay Pendse, Andrea R. Titus, Lorna E. Thorpe
{"title":"Trends in Racial/Ethnic Disparities in Early Glycemic Control Among Veterans Receiving Care in the Veterans Health Administration, 2008–2019","authors":"Simin Hua, Rania Kanchi, Rebecca Anthopolos, Mark D. Schwartz, Jay Pendse, Andrea R. Titus, Lorna E. Thorpe","doi":"10.2337/dc24-0892","DOIUrl":"https://doi.org/10.2337/dc24-0892","url":null,"abstract":"OBJECTIVE Racial/ethnic disparities in glycemic control among non-Hispanic Black (NHB) and non-Hispanic White (NHW) veterans with type 2 diabetes (T2D) have been reported. This study examined trends in early glycemic control by race/ethnicity to understand how disparities soon after T2D diagnosis have changed between 2008 and 2019 among cohorts of U.S. veterans with newly diagnosed T2D. RESEARCH DESIGN AND METHODS We estimated the annual percentage of early glycemic control (average A1C <7%) in the first 5 years after diagnosis among 837,023 veterans (95% male) with newly diagnosed T2D in primary care. We compared early glycemic control by racial/ethnic group among cohorts defined by diagnosis year (2008–2010, 2011–2013, 2014–2016, and 2017–2018) using mixed-effects models with random intercepts. We estimated odds ratios of early glycemic control comparing racial/ethnic groups with NHW, adjusting for age, sex, and years since diagnosis. RESULTS The average annual percentage of veterans who achieved early glycemic control during follow-up was 73%, 72%, 72%, and 76% across the four cohorts, respectively. All racial/ethnic groups were less likely to achieve early glycemic control compared with NHW veterans in the 2008–2010 cohort. In later cohorts, NHB and Hispanic veterans were more likely to achieve early glycemic control; however, Hispanic veterans were also more likely to have an A1C ≥9% within 5 years in all cohorts. Early glycemic control disparities for non-Hispanic Asian, Native Hawaiian/Pacific Islander, and American Indian/Alaska Native veterans persisted in cohorts until the 2017–2018 cohort. CONCLUSIONS Overall early glycemic control trends among veterans with newly diagnosed T2D have been stable since 2008, but trends differed by racial/ethnic groups and disparities in very poor glycemic control were still observed. Efforts should continue to minimize disparities among racial/ethnic groups.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"15 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142166239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-09-10DOI: 10.2337/dca24-0012
Yunli Tian, Zixin Qiu, Feixue Wang, Shan Deng, Yue Wang, Zi Wang, Peng Yin, Yong Huo, Maigeng Zhou, Gang Liu, Kai Huang
{"title":"Associations of Diabetes and Prediabetes With Mortality and Life Expectancy in China: A National Study","authors":"Yunli Tian, Zixin Qiu, Feixue Wang, Shan Deng, Yue Wang, Zi Wang, Peng Yin, Yong Huo, Maigeng Zhou, Gang Liu, Kai Huang","doi":"10.2337/dca24-0012","DOIUrl":"https://doi.org/10.2337/dca24-0012","url":null,"abstract":"OBJECTIVE To investigate the excess mortality and life-years lost associated with diabetes and prediabetes in China. RESEARCH DESIGN AND METHODS This national cohort study enrolled 135,405 participants aged 18 years or older from the general population in China. Cox proportional hazards regression models were used to estimate adjusted mortality rate ratio (RR). The life table method was used to estimate life expectancy. RESULTS Among the 135,405 participants, 10.5% had diabetes and 36.2% had prediabetes in 2013. During a median follow-up of 6 years, 5517 deaths were recorded, including 1428 and 2300 deaths among people with diabetes and prediabetes, respectively. Diabetes and prediabetes were significantly associated with increased risk of all-cause (diabetes: RR, 1.61 [95% CI 1.49, 1.73]; prediabetes: RR, 1.08 [95% CI 1.01, 1.15]), and cardiovascular disease (diabetes: RR, 1.59 [95% CI 1.41, 1.78]; prediabetes: RR, 1.10 [95% CI 1.00, 1.21]) mortality. Additionally, diabetes was significantly associated with increased risks of death resulting from cancer, respiratory disease, liver disease, and diabetic ketoacidosis or coma. Compared with participants with normoglycemia, life expectancy of those with diabetes and prediabetes was shorter, on average, by 4.2 and 0.7 years at age 40 years, respectively. The magnitude of the associations of diabetes and prediabetes with all-cause and cardiovascular disease mortality varied by age and residence. CONCLUSIONS In this national study, diabetes and prediabetes were significantly associated with reduced life expectancy and increased all-cause and cause-specific mortality risks. The disparities in excess mortality associated with diabetes and prediabetes between different ages and residences have implications for diabetes and prediabetes prevention and treatment programs.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"82 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142166240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-08-30DOI: 10.2337/dc24-0635
Yoko Narasaki, Kamyar Kalantar-Zadeh, Andrea C. Daza, Amy S. You, Alejandra Novoa, Renal Amel Peralta, Man Kit Michael Siu, Danh V. Nguyen, Connie M. Rhee
{"title":"Accuracy of Continuous Glucose Monitoring in Hemodialysis Patients With Diabetes","authors":"Yoko Narasaki, Kamyar Kalantar-Zadeh, Andrea C. Daza, Amy S. You, Alejandra Novoa, Renal Amel Peralta, Man Kit Michael Siu, Danh V. Nguyen, Connie M. Rhee","doi":"10.2337/dc24-0635","DOIUrl":"https://doi.org/10.2337/dc24-0635","url":null,"abstract":"OBJECTIVE In the general population, continuous glucose monitoring (CGM) provides convenient and less-invasive glucose measurements than conventional self-monitored blood glucose and results in reduced hypo-/hyperglycemia and increased time-in-target glucose range. However, accuracy of CGM versus blood glucose is not well established in hemodialysis patients. RESEARCH DESIGN AND METHODS Among 31 maintenance hemodialysis patients with diabetes hospitalized from October 2020–May 2021, we conducted protocolized glucose measurements using Dexcom G6 CGM versus blood glucose, with the latter measured before each meal and at night, plus every 30-min during hemodialysis. We examined CGM-blood glucose correlations and agreement between CGM versus blood glucose using Bland-Altman plots, percentage of agreement, mean and median absolute relative differences (ARDs), and consensus error grids. RESULTS Pearson and Spearman correlations for averaged CGM versus blood glucose levels were 0.84 and 0.79, respectively; Bland-Altman showed the mean difference between CGM and blood glucose was ∼+15 mg/dL. Agreement rates using %20/20 criteria were 48.7%, 47.2%, and 50.2% during the overall, hemodialysis, and nonhemodialysis periods, respectively. Mean ARD (MARD) was ∼20% across all time periods; median ARD was 19.4% during the overall period and was slightly lower during nonhemodialysis (18.2%) versus hemodialysis periods (22.0%). Consensus error grids showed nearly all CGM values were in clinically acceptable zones A (no harm) and B (unlikely to cause significant harm). CONCLUSIONS In hemodialysis patients with diabetes, although MARD values were higher than traditional optimal analytic performance thresholds, error grids showed nearly all CGM values were in clinically acceptable zones. Further studies are needed to determine whether CGM improves outcomes in hemodialysis patients.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"8 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-07-24DOI: 10.2337/dc24-0896
Coralie Amadou, Yuxia Wei, Maria Feychting, Sofia Carlsson
{"title":"Early-Life Factors Associated With Adult-Onset Type 1 Diabetes: A Swedish Nationwide Cohort and Family-Based Study","authors":"Coralie Amadou, Yuxia Wei, Maria Feychting, Sofia Carlsson","doi":"10.2337/dc24-0896","DOIUrl":"https://doi.org/10.2337/dc24-0896","url":null,"abstract":"OBJECTIVE Childhood-onset type 1 diabetes (T1D) is associated with perinatal factors, but data related to adult-onset T1D are scarce. This study aimed at investigating the association between early-life factors and adult-onset T1D in a Swedish nationwide cohort and family-based study. RESEARCH DESIGN AND METHODS We included 1,813,415 individuals aged ≥18 years, born in Sweden 1983 to 2002, followed until 2020. T1D diagnosis (n = 3,283) was identified from the National Diabetes, Patient and Prescribed Drugs Registers, and perinatal exposures were obtained from the Medical Birth Register. We performed Cox proportional hazard (hazard ratio [95% CI]) regression with mutual adjustment for perinatal exposures, sex, birth year, and parental sociodemographic background and history of diabetes. We also compared T1D risks among siblings’ groups identified from the Multiple Generation Register. RESULTS The incidence rate of adult-onset T1D was 18.8 per 100,000 person-years. Year of birth (1.06 [1.01–1.10], per five additional years) and history of maternal (4.10 [3.09–5.43]) and paternal (6.24 [5.10–7.64]) T1D were associated with a higher incidence of adult-onset T1D, whereas female sex (0.69 [0.64–0.74]) and having parents born outside Sweden were associated with a lower incidence. Regarding perinatal exposures, only non–full-term birth (<39 weeks vs. ≥39 weeks) was associated with a higher incidence of adult-onset T1D (1.12 [1.04–1.22]). The sibling cohort results were consistent with the full cohort analysis. CONCLUSIONS Perinatal factors seem to play a minor role in the development of adult-onset T1D compared with childhood-onset T1D, suggesting that triggers or accelerators of autoimmunity occurring later in life are more significant.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"16 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141755131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-07-01DOI: 10.2337/dc23-0776
Coco M Fuhri Snethlage, Timothy J McDonald, Richard D Oram, Pleun de Groen, Elena Rampanelli, Alinda W M Schimmel, Frits Holleman, Sarah Siegelaar, Joost Hoekstra, Catherine B Brouwer, Filip K Knop, C Bruce Verchere, Daniël H van Raalte, Bart O Roep, Max Nieuwdorp, Nordin M J Hanssen
{"title":"Residual β-Cell Function Is Associated With Longer Time in Range in Individuals With Type 1 Diabetes.","authors":"Coco M Fuhri Snethlage, Timothy J McDonald, Richard D Oram, Pleun de Groen, Elena Rampanelli, Alinda W M Schimmel, Frits Holleman, Sarah Siegelaar, Joost Hoekstra, Catherine B Brouwer, Filip K Knop, C Bruce Verchere, Daniël H van Raalte, Bart O Roep, Max Nieuwdorp, Nordin M J Hanssen","doi":"10.2337/dc23-0776","DOIUrl":"10.2337/dc23-0776","url":null,"abstract":"<p><strong>Objective: </strong>Little is known about the influence of residual islet function on glycemic control in type 1 diabetes (T1D). We investigated the associations between residual β-cell function and metrics of continuous glucose monitoring (CGM) in individuals with T1D.</p><p><strong>Research design and methods: </strong>In this cross-sectional cohort comprising 489 individuals (64% female, age 41.0 ± 14.0 years), T1D duration was 15.0 (interquartile range [IQR] 6.0-29.0) years. Individuals had a time in range (TIR) of 66% (IQR 52-80%) and a urinary C-peptide-to-creatinine ratio (UCPCR) of 0.01 (IQR 0.00-0.41) nmol/mmol. To assess β-cell function, we measured UCPCR (detectable >0.01 nmol/mmol), and to assess α-cell function, fasting plasma glucagon/glucose ratios were measured. CGM was used to record TIR (3.9-10 mmol/L), time below range (TBR) (<3.9 mmol/L), time above range (TAR) (>10 mmol/L), and glucose coefficient of variance (CV). For CGM, 74.7% used FreeStyle Libre 2, 13.8% Medtronic Guardian, and 11.5% Dexcom G6 as their device.</p><p><strong>Results: </strong>The percentage of patients with T1D who had a detectable UCPCR was 49.4%. A higher UCPCR correlated with higher TIR (r = 0.330, P < 0.05), lower TBR (r = -0.237, P < 0.05), lower TAR (r = -0.302, P < 0.05), and lower glucose CV (r = -0.356, P < 0.05). A higher UCPCR correlated negatively with HbA1c levels (r = -0.183, P < 0.05) and total daily insulin dose (r = -0.183, P < 0.05). Glucagon/glucose ratios correlated with longer TIR (r = 0.234, P < 0.05).</p><p><strong>Conclusions: </strong>Significantly longer TIR, shorter TBR and TAR, and lower CV were observed in individuals with greater UCPCR-assessed β-cell function. Therefore, better CGM-derived metrics in individuals with preserved β-cell function may be a contributor to a lower risk of developing long-term complications.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":" ","pages":"1114-1121"},"PeriodicalIF":14.8,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11208747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9934318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-06-28DOI: 10.2337/dc24-0470
Aino Latva-Rasku, Eleni Rebelos, Jouni Tuisku, Richard Aarnio, Achol Bhowmik, Helmi Keskinen, Sanna Laurila, Minna Lahesmaa-Hatting, Laura Pekkarinen, Henrik Isackson, Anna K. Kirjavainen, Jukka Koffert, Kerstin Heurling, Lauri Nummenmaa, Ele Ferrannini, Jonas Oldgren, Jan Oscarsson, Pirjo Nuutila
{"title":"SGLT2 Inhibitor Dapagliflozin Increases Skeletal Muscle and Brain Fatty Acid Uptake in Individuals With Type 2 Diabetes: A Randomized Double-Blind Placebo-Controlled Positron Emission Tomography Study","authors":"Aino Latva-Rasku, Eleni Rebelos, Jouni Tuisku, Richard Aarnio, Achol Bhowmik, Helmi Keskinen, Sanna Laurila, Minna Lahesmaa-Hatting, Laura Pekkarinen, Henrik Isackson, Anna K. Kirjavainen, Jukka Koffert, Kerstin Heurling, Lauri Nummenmaa, Ele Ferrannini, Jonas Oldgren, Jan Oscarsson, Pirjo Nuutila","doi":"10.2337/dc24-0470","DOIUrl":"https://doi.org/10.2337/dc24-0470","url":null,"abstract":"OBJECTIVE The aim of this study was to investigate the impact of the sodium–glucose cotransporter 2 (SGLT2) inhibitor dapagliflozin on tissue fatty acid (FA) uptake in the skeletal muscle, brain, small intestine, and subcutaneous and visceral adipose tissue of individuals with type 2 diabetes by using positron emission tomography (PET). RESEARCH DESIGN AND METHODS In a 6-week randomized double-blind placebo-controlled trial, 53 patients with type 2 diabetes treated with metformin received either 10 mg dapagliflozin or placebo daily. Tissue FA uptake was quantified at baseline and end of treatment with PET and the long-chain FA analog radiotracer 14(R,S)-[18F]fluoro-6-thia-heptadecanoic acid. Treatment effects were assessed using ANCOVA, and the results are reported as least square means and 95% CIs for the difference between groups. RESULTS A total of 38 patients (dapagliflozin n = 21; placebo n = 17) completed the study. After 6 weeks, skeletal muscle FA uptake was increased by dapagliflozin compared with placebo (1.0 [0.07, 2.0] μmol ⋅ 100 g−1 ⋅ min−1; P = 0.032), whereas uptake was not significantly changed in the small intestine or visceral or subcutaneous adipose tissue. Dapagliflozin treatment significantly increased whole-brain FA uptake (0.10 [0.02, 0.17] μmol ⋅ 100 g−1 ⋅ min−1; P = 0.01), an effect observed in both gray and white matter regions. CONCLUSIONS Six weeks of treatment with dapagliflozin increases skeletal muscle and brain FA uptake, partly driven by a rise in free FA availability. This finding is in accordance with previous indirect measurements showing enhanced FA metabolism in response to SGLT2 inhibition and extends the notion of a shift toward increased FA use to muscle and brain.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"23 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141462747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-06-27DOI: 10.2337/dc24-0203
Jiaqi Hu, James R. Pike, Pamela L. Lutsey, A. Richey Sharrett, Lynne E. Wagenknecht, Timothy M. Hughes, Jesse C. Seegmiller, Rebecca F. Gottesman, Thomas H. Mosley, Elizabeth Selvin, Michael Fang, Josef Coresh
{"title":"Age of Diabetes Diagnosis and Lifetime Risk of Dementia: The Atherosclerosis Risk in Communities (ARIC) Study","authors":"Jiaqi Hu, James R. Pike, Pamela L. Lutsey, A. Richey Sharrett, Lynne E. Wagenknecht, Timothy M. Hughes, Jesse C. Seegmiller, Rebecca F. Gottesman, Thomas H. Mosley, Elizabeth Selvin, Michael Fang, Josef Coresh","doi":"10.2337/dc24-0203","DOIUrl":"https://doi.org/10.2337/dc24-0203","url":null,"abstract":"OBJECTIVE The impact of age of diabetes diagnosis on dementia risk across the life course is poorly characterized. We estimated the lifetime risk of dementia by age of diabetes diagnosis. RESEARCH DESIGN AND METHODS We included 13,087 participants from the Atherosclerosis Risk in Communities Study who were free from dementia at age 60 years. We categorized participants as having middle age–onset diabetes (diagnosis &lt;60 years), older-onset diabetes (diagnosis 60–69 years), or no diabetes. Incident dementia was ascertained via adjudication and active surveillance. We used the cumulative incidence function estimator to characterize the lifetime risk of dementia by age of diabetes diagnosis while accounting for the competing risk of mortality. We used restricted mean survival time to calculate years lived without and with dementia. RESULTS Among 13,087 participants, there were 2,982 individuals with dementia and 4,662 deaths without dementia during a median follow-up of 24.1 (percentile 25–percentile 75, 17.4–28.3) years. Individuals with middle age–onset diabetes had a significantly higher lifetime risk of dementia than those with older-onset diabetes (36.0% vs. 31.0%). Compared with those with no diabetes, participants with middle age–onset diabetes also had a higher cumulative incidence of dementia by age 80 years (16.1% vs. 9.4%), but a lower lifetime risk (36.0% vs. 45.6%) due to shorter survival. Individuals with middle age–onset diabetes developed dementia 4 and 1 years earlier than those without diabetes and those with older-onset diabetes, respectively. CONCLUSIONS Preventing or delaying diabetes may be an important approach for reducing dementia risk throughout the life course.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"36 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141462317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2024-06-27DOI: 10.2337/dc23-2441
Zsu-Zsu Chen, Chang Lu, Jonathan M. Dreyfuss, Gaurav Tiwari, Xu Shi, Shuning Zheng, Danielle Wolfs, Laura Pyle, Petter Bjornstad, Laure El Ghormli, Robert E. Gerszten, Elvira Isganaitis
{"title":"Circulating Metabolite Biomarkers of Glycemic Control in Youth-Onset Type 2 Diabetes","authors":"Zsu-Zsu Chen, Chang Lu, Jonathan M. Dreyfuss, Gaurav Tiwari, Xu Shi, Shuning Zheng, Danielle Wolfs, Laura Pyle, Petter Bjornstad, Laure El Ghormli, Robert E. Gerszten, Elvira Isganaitis","doi":"10.2337/dc23-2441","DOIUrl":"https://doi.org/10.2337/dc23-2441","url":null,"abstract":"OBJECTIVE We aimed to identify metabolites associated with loss of glycemic control in youth-onset type 2 diabetes. RESEARCH DESIGN AND METHODS We measured 480 metabolites in fasting plasma samples from the TODAY (Treatment Options for Type 2 Diabetes in Adolescents and Youth) study. Participants (N = 393; age 10–17 years) were randomly assigned to metformin, metformin plus rosiglitazone, or metformin plus lifestyle intervention. Additional metabolomic measurements after 36 months were obtained in 304 participants. Cox models were used to assess baseline metabolites, interaction of metabolites and treatment group, and change in metabolites (0–36 months), with loss of glycemic control adjusted for age, sex, race, treatment group, and BMI. Metabolite prediction models of glycemic failure were generated using elastic net regression and compared with clinical risk factors. RESULTS Loss of glycemic control (HbA1c ≥8% or insulin therapy) occurred in 179 of 393 participants (mean 12.4 months). Baseline levels of 33 metabolites were associated with loss of glycemic control (q &lt; 0.05). Associations of hexose and xanthurenic acid with treatment failure differed by treatment randomization; youths with higher baseline levels of these two compounds had a lower risk of treatment failure with metformin alone. For three metabolites, changes from 0 to 36 months were associated with loss of glycemic control (q &lt; 0.05). Changes in d-gluconic acid and 1,5-AG/1-deoxyglucose, but not baseline levels of measured metabolites, predicted treatment failure better than changes in HbA1c or measures of β-cell function. CONCLUSIONS Metabolomics provides insight into circulating small molecules associated with loss of glycemic control and may highlight metabolic pathways contributing to treatment failure in youth-onset diabetes.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"23 1","pages":""},"PeriodicalIF":16.2,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141462270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}