Diabetes & Metabolism Journal

Response

Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802): Tianqi Zhang, Marnie Shaw, Nicolas Cherbuin; Diabetes Metab J. 2022;46(5):815-816. Published online September 19, 2022; DOI: https://doi.org/10.4093/dmj.2022.0296; [Original]

2,516 View
118 Download
9 Web of Science
1 Crossref

PDF PubReader ePub

Citations

Citations to this article as recorded by

Current Insights on the Use of Insulin and the Potential Use of Insulin Mimetics in Targeting Insulin Signalling in Alzheimer’s Disease
Amy Woodfield, Tatiana Gonzales, Erik Helmerhorst, Simon Laws, Philip Newsholme, Tenielle Porter, Giuseppe Verdile
International Journal of Molecular Sciences.2022; 23(24): 15811. CrossRef

Original Article

Complication
Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis: Tianqi Zhang, Marnie Shaw, Nicolas Cherbuin; Diabetes Metab J. 2022;46(5):781-802. Published online March 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0189

6,514 View
298 Download
11 Web of Science
20 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Type 2 diabetes mellitus (T2DM) is known to be associated with cognitive decline and brain structural changes. This study systematically reviews and estimates human brain volumetric differences and atrophy associated with T2DM.
Methods
PubMed, PsycInfo and Cochrane Library were searched for brain imaging studies reporting on brain volume differences between individuals with T2DM and healthy controls. Data were examined using meta-analysis, and association between age, sex, diabetes characteristics and brain volumes were tested using meta-regression.
Results
A total of 14,605 entries were identified; after title, abstract and full-text screening applying inclusion and exclusion criteria, 64 studies were included and 42 studies with compatible data contributed to the meta-analysis (n=31,630; mean age 71.0 years; 44.4% male; 26,942 control; 4,688 diabetes). Individuals with T2DM had significantly smaller total brain volume, total grey matter volume, total white matter volume and hippocampal volume (approximately 1% to 4%); meta-analyses of smaller samples focusing on other brain regions and brain atrophy rate in longitudinal investigations also indicated smaller brain volumes and greater brain atrophy associated with T2DM. Meta-regression suggests that diabetes-related brain volume differences start occurring in early adulthood, decreases with age and increases with diabetes duration.
Conclusion
T2DM is associated with smaller total and regional brain volume and greater atrophy over time. These effects are substantial and highlight an urgent need to develop interventions to reduce the risk of T2DM for brain health.

Citations

Citations to this article as recorded by

Diabetes, antidiabetic medications and risk of dementia: A systematic umbrella review and meta‐analysis
Alvin Kuate Defo, Veselko Bakula, Alessandro Pisaturo, Christopher Labos, Simon S. Wing, Stella S. Daskalopoulou
Diabetes, Obesity and Metabolism.2024; 26(2): 441. CrossRef
Cognitive deficits among people with schizophrenia and prediabetes or diabetes
Alexander Panickacheril John, Thynn Mya, Darren Haywood
Acta Psychiatrica Scandinavica.2024; 149(1): 65. CrossRef
The association of glucose metabolism measures and diabetes status with Alzheimer’s disease biomarkers of amyloid and tau: A systematic review and meta-analysis
Veerle van Gils, Marianna Rizzo, Jade Côté, Wolfgang Viechtbauer, Giuseppe Fanelli, Jordi Salas-Salvadó, Theresa Wimberley, Mònica Bulló, Fernando Fernandez-Aranda, Søren Dalsgaard, Pieter Jelle Visser, Willemijn J. Jansen, Stephanie J.B. Vos
Neuroscience & Biobehavioral Reviews.2024; 159: 105604. CrossRef
ECHDC3 Variant Regulates the Right Hippocampal Microstructural Integrity and Verbal Memory in Type 2 Diabetes Mellitus
Qiyu Zhao, Xin Du, Feng Liu, Yang Zhang, Wen Qin, Quan Zhang
Neuroscience.2024; 538: 30. CrossRef
The hemodynamic response function as a type 2 diabetes biomarker: a data-driven approach
Pedro Guimarães, Pedro Serranho, João V. Duarte, Joana Crisóstomo, Carolina Moreno, Leonor Gomes, Rui Bernardes, Miguel Castelo-Branco
Frontiers in Neuroinformatics.2024;[Epub] CrossRef
What have clinical trials taught us about brain health?
Keon-Joo Lee, Hee-Joon Bae
Cerebral Circulation - Cognition and Behavior.2024; 6: 100199. CrossRef
Understanding the relationship between type-2 diabetes, MRI markers of neurodegeneration and small vessel disease, and dementia risk: a mediation analysis
Leslie Grasset, Eric Frison, Catherine Helmer, Gwénaëlle Catheline, Geneviève Chêne, Carole Dufouil
European Journal of Epidemiology.2024;[Epub] CrossRef
Vulnerability of the Hippocampus to Insults: Links to Blood–Brain Barrier Dysfunction
Terry L. Davidson, Richard J. Stevenson
International Journal of Molecular Sciences.2024; 25(4): 1991. CrossRef
The gut microbiota‐astrocyte axis: Implications for type 2 diabetic cognitive dysfunction
Zi‐Han Li, Ya‐Yi Jiang, Cai‐Yi Long, Qian Peng, Ren‐Song Yue
CNS Neuroscience & Therapeutics.2023; 29(S1): 59. CrossRef
NHANES 2011–2014 Reveals Decreased Cognitive Performance in U.S. Older Adults with Metabolic Syndrome Combinations
Edgar Díaz-Camargo, Juan Hernández-Lalinde, María Sánchez-Rubio, Yudy Chaparro-Suárez, Liseth Álvarez-Caicedo, Alexandra Fierro-Zarate, Marbel Gravini-Donado, Henry García-Pacheco, Joselyn Rojas-Quintero, Valmore Bermúdez
International Journal of Environmental Research and Public Health.2023; 20(7): 5257. CrossRef
People with Diabetes Have Poorer Self-Rated Health (SRH) and Diabetes Moderates the Association between Age and SRH
Weixi Kang, Antonio Malvaso
Diseases.2023; 11(2): 73. CrossRef
Cognitive dysfunction in diabetes: abnormal glucose metabolic regulation in the brain
Shan Zhang, Yueying Zhang, Zhige Wen, YaNan Yang, Tianjie Bu, Xiangwei Bu, Qing Ni
Frontiers in Endocrinology.2023;[Epub] CrossRef
The psychological basis of hunger and its dysfunctions
Richard J Stevenson
Nutrition Reviews.2023;[Epub] CrossRef
Associations of Glucose Metabolism Status with Brain Macrostructure and Microstructure: Findings from the UK Biobank
Ruyi Li, Tingting Geng, Lin Li, Qi Lu, Rui Li, Xue Chen, Yunjing Ou, Sen Liu, Xiaoyu Lin, Qingying Tian, Zixin Qiu, Kai Zhu, Ziyue Tang, Kun Yang, An Pan, Gang Liu
The Journal of Clinical Endocrinology & Metabolism.2023; 109(1): e234. CrossRef
Association Between Frequency of Social Contact and Brain Atrophy in Community-Dwelling Older People Without Dementia
Naoki Hirabayashi, Takanori Honda, Jun Hata, Yoshihiko Furuta, Mao Shibata, Tomoyuki Ohara, Yasuko Tatewaki, Yasuyuki Taki, Shigeyuki Nakaji, Tetsuya Maeda, Kenjiro Ono, Masaru Mimura, Kenji Nakashima, Jun-ichi Iga, Minoru Takebayashi, Toshiharu Ninomiya,
Neurology.2023;[Epub] CrossRef
A diagnosis model for brain atrophy using deep learning and MRI of type 2 diabetes mellitus
Saba Raoof Syed, Saleem Durai M. A.
Frontiers in Neuroscience.2023;[Epub] CrossRef
Diabetes: a tipping point in neurodegenerative diseases
Jose A. Santiago, Mridula Karthikeyan, Madison Lackey, Diana Villavicencio, Judith A. Potashkin
Trends in Molecular Medicine.2023; 29(12): 1029. CrossRef
Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802)
Tianqi Zhang, Marnie Shaw, Nicolas Cherbuin
Diabetes & Metabolism Journal.2022; 46(5): 815. CrossRef
Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802)
Se Hee Min
Diabetes & Metabolism Journal.2022; 46(5): 813. CrossRef
MORPHOFUNCTIONAL CHANGES OF THE BRAIN IN DIABETES MELLITUS
A. V. Smirnov, A. I Bisinbekova, T. I Faibisovich
Journal of Volgograd State Medical University.2022; 19(3): 3. CrossRef

First
Prev
Page of 1
Next
Last

Search