Skip to main content
Erschienen in: European Radiology 8/2023

09.03.2023 | Neuro

Association of prediabetes with reduced brain volume in a general elderly Japanese population

verfasst von: Soichiro Tatsuo, Keita Watanabe, Satoru Ide, Fumiyasu Tsushima, Sayuri Tatsuo, Masashi Matsuzaka, Hiroshi Murakami, Mizuri Ishida, Takuro Iwane, Makoto Daimon, Hiraku Yodono, Shigeyuki Nakaji, Shingo Kakeda

Erschienen in: European Radiology | Ausgabe 8/2023

Einloggen, um Zugang zu erhalten

Abstract

Objectives

Diabetes frequently results in cognitive impairment, but it is less clear if brain health is adversely affected during the prediabetic stage. Our aim is to identify possible changes in brain volume as measured by magnetic resonance imaging (MRI) in a large elderly population stratified according to level of “dysglycemia.”

Methods

This is a cross-sectional study of 2144 participants (median age 69 years, 60.9% female) who underwent 3-T brain MRI. Participants were divided into 4 dysglycemia groups based on HbA1c levels (%): normal glucose metabolism (NGM) (< 5.7%), prediabetes (5.7 to < 6.5%), undiagnosed diabetes (6.5% or higher), and known diabetes (defined by self-report).

Results

Of the 2144 participants, 982 had NGM, 845 prediabetes, 61 undiagnosed diabetes, and 256 known diabetes. After adjustment for age, sex, education, body weight, cognitive status, smoking, drinking, and disease history, total gray matter volume was significantly lower among participants with prediabetes (0.41% lower, standardized β =  − 0.0021 [95% CI − 0.0039, − 0.00039], p = 0.016), undiagnosed diabetes (1.4% lower, standardized β =  − 0.0069 [95% CI − 0.012, − 0.002], p = 0.005), and known diabetes (1.1% lower, standardized β =  − 0.0055 [95% CI − 0.0081, − 0.0029], p < 0.001) compared to the NGM group. After adjustment, total white matter volume and hippocampal volume did not differ significantly between the NGM group and either the prediabetes group or the diabetes group.

Conclusion

Sustained hyperglycemia may have deleterious effects on gray matter integrity even prior to the onset of clinical diabetes.

Key Points

• Sustained hyperglycemia has deleterious effects on gray matter integrity even prior to the onset of clinical diabetes.
Literatur
1.
Zurück zum Zitat Bangen KJ, Beiser A, Delano-Wood L et al (2013) APOE genotype modifies the relationship between midlife vascular risk factors and later cognitive decline. J Stroke Cerebrovasc Dis 22:1361–1369CrossRefPubMed Bangen KJ, Beiser A, Delano-Wood L et al (2013) APOE genotype modifies the relationship between midlife vascular risk factors and later cognitive decline. J Stroke Cerebrovasc Dis 22:1361–1369CrossRefPubMed
2.
Zurück zum Zitat Cheng G, Huang C, Deng H, Wang H (2012) Diabetes as a risk factor for dementia and mild cognitive impairment: a meta-analysis of longitudinal studies. Intern Med J 42:484–491CrossRefPubMed Cheng G, Huang C, Deng H, Wang H (2012) Diabetes as a risk factor for dementia and mild cognitive impairment: a meta-analysis of longitudinal studies. Intern Med J 42:484–491CrossRefPubMed
3.
Zurück zum Zitat Ott A, Stolk RP, van Harskamp F, Pols HA, Hofman A, Breteler MM (1999) Diabetes mellitus and the risk of dementia: the Rotterdam Study. Neurology 53:1937–1942CrossRefPubMed Ott A, Stolk RP, van Harskamp F, Pols HA, Hofman A, Breteler MM (1999) Diabetes mellitus and the risk of dementia: the Rotterdam Study. Neurology 53:1937–1942CrossRefPubMed
4.
Zurück zum Zitat Peila R, Rodriguez BL, Launer LJ, Honolulu-Asia Aging S (2002) Type 2 diabetes, APOE gene, and the risk for dementia and related pathologies: the Honolulu-Asia Aging Study. Diabetes 51:1256–1262CrossRefPubMed Peila R, Rodriguez BL, Launer LJ, Honolulu-Asia Aging S (2002) Type 2 diabetes, APOE gene, and the risk for dementia and related pathologies: the Honolulu-Asia Aging Study. Diabetes 51:1256–1262CrossRefPubMed
5.
Zurück zum Zitat Cooper C, Sommerlad A, Lyketsos CG, Livingston G (2015) Modifiable predictors of dementia in mild cognitive impairment: a systematic review and meta-analysis. Am J Psychiatry 172:323–334CrossRefPubMed Cooper C, Sommerlad A, Lyketsos CG, Livingston G (2015) Modifiable predictors of dementia in mild cognitive impairment: a systematic review and meta-analysis. Am J Psychiatry 172:323–334CrossRefPubMed
7.
Zurück zum Zitat Moran C, Phan TG, Chen J et al (2013) Brain atrophy in type 2 diabetes: regional distribution and influence on cognition. Diabetes Care 36:4036–4042CrossRefPubMedPubMedCentral Moran C, Phan TG, Chen J et al (2013) Brain atrophy in type 2 diabetes: regional distribution and influence on cognition. Diabetes Care 36:4036–4042CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Schneider ALC, Selvin E, Sharrett AR et al (2017) Diabetes, prediabetes, and brain volumes and subclinical cerebrovascular disease on MRI: the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). Diabetes Care 40:1514–1521CrossRefPubMedPubMedCentral Schneider ALC, Selvin E, Sharrett AR et al (2017) Diabetes, prediabetes, and brain volumes and subclinical cerebrovascular disease on MRI: the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). Diabetes Care 40:1514–1521CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Reitz C, Guzman VA, Narkhede A, DeCarli C, Brickman AM, Luchsinger JA (2017) Relation of dysglycemia to structural brain changes in a multiethnic elderly cohort. J Am Geriatr Soc 65:277–285CrossRefPubMed Reitz C, Guzman VA, Narkhede A, DeCarli C, Brickman AM, Luchsinger JA (2017) Relation of dysglycemia to structural brain changes in a multiethnic elderly cohort. J Am Geriatr Soc 65:277–285CrossRefPubMed
10.
Zurück zum Zitat Dong S, Dongwei L, Zhang J, Liang J, Sun Z, Fang J (2019) Individuals in the prediabetes stage exhibit reduced hippocampal tail volume and executive dysfunction. Brain Behav 9:e01351CrossRefPubMedPubMedCentral Dong S, Dongwei L, Zhang J, Liang J, Sun Z, Fang J (2019) Individuals in the prediabetes stage exhibit reduced hippocampal tail volume and executive dysfunction. Brain Behav 9:e01351CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Sherwani SI, Khan HA, Ekhzaimy A, Masood A, Sakharkar MK (2016) Significance of HbA1c test in diagnosis and prognosis of diabetic patients. Biomarker Insights 11:95–104CrossRefPubMedPubMedCentral Sherwani SI, Khan HA, Ekhzaimy A, Masood A, Sakharkar MK (2016) Significance of HbA1c test in diagnosis and prognosis of diabetic patients. Biomarker Insights 11:95–104CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Association AD (2019) 2. Classification and diagnosis of diabetes: standards of medical care in diabetes—2019. Diabetes Care 42:S13–S28CrossRef Association AD (2019) 2. Classification and diagnosis of diabetes: standards of medical care in diabetes—2019. Diabetes Care 42:S13–S28CrossRef
13.
15.
Zurück zum Zitat Ashburner J (2009) Computational anatomy with the SPM software. Magn Reson Imaging 27:1163–1174CrossRefPubMed Ashburner J (2009) Computational anatomy with the SPM software. Magn Reson Imaging 27:1163–1174CrossRefPubMed
16.
Zurück zum Zitat Shattuck DW, Mirza M, Adisetiyo V et al (2008) Construction of a 3D probabilistic atlas of human cortical structures. Neuroimage 39:1064–1080CrossRefPubMed Shattuck DW, Mirza M, Adisetiyo V et al (2008) Construction of a 3D probabilistic atlas of human cortical structures. Neuroimage 39:1064–1080CrossRefPubMed
17.
Zurück zum Zitat Kanda Y (2013) Investigation of the freely available easy-to-use software ‘EZR’for medical statistics. Bone Marrow Transplant 48:452–458CrossRefPubMed Kanda Y (2013) Investigation of the freely available easy-to-use software ‘EZR’for medical statistics. Bone Marrow Transplant 48:452–458CrossRefPubMed
18.
Zurück zum Zitat Vogt NM, Hunt JF, Adluru N et al (2020) Cortical microstructural alterations in mild cognitive impairment and Alzheimer’s disease dementia. Cereb Cortex 30:2948–2960CrossRefPubMedPubMedCentral Vogt NM, Hunt JF, Adluru N et al (2020) Cortical microstructural alterations in mild cognitive impairment and Alzheimer’s disease dementia. Cereb Cortex 30:2948–2960CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Espeland MA, Bryan RN, Goveas JS et al (2013) Influence of type 2 diabetes on brain volumes and changes in brain volumes: results from the Women’s Health Initiative Magnetic Resonance Imaging studies. Diabetes Care 36:90–97CrossRefPubMed Espeland MA, Bryan RN, Goveas JS et al (2013) Influence of type 2 diabetes on brain volumes and changes in brain volumes: results from the Women’s Health Initiative Magnetic Resonance Imaging studies. Diabetes Care 36:90–97CrossRefPubMed
20.
Zurück zum Zitat Falvey CM, Rosano C, Simonsick EM et al (2013) Macro-and microstructural magnetic resonance imaging indices associated with diabetes among community-dwelling older adults. Diabetes Care 36:677–682CrossRefPubMedPubMedCentral Falvey CM, Rosano C, Simonsick EM et al (2013) Macro-and microstructural magnetic resonance imaging indices associated with diabetes among community-dwelling older adults. Diabetes Care 36:677–682CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Saczynski JS, Siggurdsson S, Jonsson PV et al (2009) Glycemic status and brain injury in older individuals: the age gene/environment susceptibility-Reykjavik study. Diabetes Care 32:1608–1613CrossRefPubMedPubMedCentral Saczynski JS, Siggurdsson S, Jonsson PV et al (2009) Glycemic status and brain injury in older individuals: the age gene/environment susceptibility-Reykjavik study. Diabetes Care 32:1608–1613CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Biessels GJ, Staekenborg S, Brunner E, Brayne C, Scheltens P (2006) Risk of dementia in diabetes mellitus: a systematic review. Lancet Neurol 5:64–74CrossRefPubMed Biessels GJ, Staekenborg S, Brunner E, Brayne C, Scheltens P (2006) Risk of dementia in diabetes mellitus: a systematic review. Lancet Neurol 5:64–74CrossRefPubMed
23.
Zurück zum Zitat Cholerton B, Baker LD, Craft S (2011) Insulin resistance and pathological brain ageing. Diabet Med 28:1463–1475CrossRefPubMed Cholerton B, Baker LD, Craft S (2011) Insulin resistance and pathological brain ageing. Diabet Med 28:1463–1475CrossRefPubMed
24.
Zurück zum Zitat Wong TY, Cheung CM, Larsen M, Sharma S, Simo R (2016) Diabetic Retinopathy Nat Rev Dis Primers 2:16012CrossRefPubMed Wong TY, Cheung CM, Larsen M, Sharma S, Simo R (2016) Diabetic Retinopathy Nat Rev Dis Primers 2:16012CrossRefPubMed
25.
Zurück zum Zitat Sundermann EE, Thomas KR, Bangen KJ et al (2021) Prediabetes is associated with brain hypometabolism and cognitive decline in a sex-dependent manner: a longitudinal study of nondemented older adults. Front Neurol 12:144CrossRef Sundermann EE, Thomas KR, Bangen KJ et al (2021) Prediabetes is associated with brain hypometabolism and cognitive decline in a sex-dependent manner: a longitudinal study of nondemented older adults. Front Neurol 12:144CrossRef
26.
Zurück zum Zitat Talbot K, Wang HY, Kazi H et al (2012) Demonstrated brain insulin resistance in Alzheimer’s disease patients is associated with IGF-1 resistance, IRS-1 dysregulation, and cognitive decline. J Clin Investig 122:1316–1338CrossRefPubMedPubMedCentral Talbot K, Wang HY, Kazi H et al (2012) Demonstrated brain insulin resistance in Alzheimer’s disease patients is associated with IGF-1 resistance, IRS-1 dysregulation, and cognitive decline. J Clin Investig 122:1316–1338CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Van Loenhoud AC, Groot C, Vogel JW, Van Der Flier WM, Ossenkoppele R (2018) Is intracranial volume a suitable proxy for brain reserve? Alzheimer’s Res Ther 10:1–12 Van Loenhoud AC, Groot C, Vogel JW, Van Der Flier WM, Ossenkoppele R (2018) Is intracranial volume a suitable proxy for brain reserve? Alzheimer’s Res Ther 10:1–12
29.
Zurück zum Zitat Jovicich J, Czanner S, Han X et al (2009) MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. Neuroimage 46:177–192CrossRefPubMed Jovicich J, Czanner S, Han X et al (2009) MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. Neuroimage 46:177–192CrossRefPubMed
30.
Zurück zum Zitat Wonderlick JS, Ziegler DA, Hosseini-Varnamkhasti P et al (2009) Reliability of MRI-derived cortical and subcortical morphometric measures: effects of pulse sequence, voxel geometry, and parallel imaging. Neuroimage 44:1324–1333CrossRefPubMed Wonderlick JS, Ziegler DA, Hosseini-Varnamkhasti P et al (2009) Reliability of MRI-derived cortical and subcortical morphometric measures: effects of pulse sequence, voxel geometry, and parallel imaging. Neuroimage 44:1324–1333CrossRefPubMed
Metadaten
Titel
Association of prediabetes with reduced brain volume in a general elderly Japanese population
verfasst von
Soichiro Tatsuo
Keita Watanabe
Satoru Ide
Fumiyasu Tsushima
Sayuri Tatsuo
Masashi Matsuzaka
Hiroshi Murakami
Mizuri Ishida
Takuro Iwane
Makoto Daimon
Hiraku Yodono
Shigeyuki Nakaji
Shingo Kakeda
Publikationsdatum
09.03.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 8/2023
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-023-09509-z

Weitere Artikel der Ausgabe 8/2023

European Radiology 8/2023 Zur Ausgabe

Mammakarzinom: Brustdichte beeinflusst rezidivfreies Überleben

26.05.2024 Mammakarzinom Nachrichten

Frauen, die zum Zeitpunkt der Brustkrebsdiagnose eine hohe mammografische Brustdichte aufweisen, haben ein erhöhtes Risiko für ein baldiges Rezidiv, legen neue Daten nahe.

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

17.05.2024 Klinik aktuell Nachrichten

Sie sei „ethisch geboten“, meint Gesundheitsminister Karl Lauterbach: mehr Transparenz über die Qualität von Klinikbehandlungen. Um sie abzubilden, lässt er gegen den Widerstand vieler Länder einen virtuellen Klinik-Atlas freischalten.

Klinikreform soll zehntausende Menschenleben retten

15.05.2024 Klinik aktuell Nachrichten

Gesundheitsminister Lauterbach hat die vom Bundeskabinett beschlossene Klinikreform verteidigt. Kritik an den Plänen kommt vom Marburger Bund. Und in den Ländern wird über den Gang zum Vermittlungsausschuss spekuliert.

Darf man die Behandlung eines Neonazis ablehnen?

08.05.2024 Gesellschaft Nachrichten

In einer Leseranfrage in der Zeitschrift Journal of the American Academy of Dermatology möchte ein anonymer Dermatologe bzw. eine anonyme Dermatologin wissen, ob er oder sie einen Patienten behandeln muss, der eine rassistische Tätowierung trägt.

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.