Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
4 "Qi Zhang"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
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]
  • 3,578 View
  • 131 Download
  • 14 Web of Science
  • 3 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Cerebral Small Vessel Disease Is Associated With Smaller Brain Volumes in Adults With Type 1 Diabetes
    Tor-björn Claesson, Jukka Putaala, Sara Shams, Eero Salli, Daniel Gordin, Stefan Mutter, Turgut Tatlisumak, Per-Henrik Groop, Juha Martola, Lena M. Thorn, Riccardo Calafiore
    Journal of Diabetes Research.2024;[Epub]     CrossRef
  • Association of glycosylated hemoglobin concentrations with structural and functional brain changes in the normoglycemic population: A systematic review
    Yunus Soleymani, Seyed Amir Hossein Batouli, Amin Akbari Ahangar, Ata Pourabbasi
    Journal of Neuroendocrinology.2024;[Epub]     CrossRef
  • 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
  • 8,594 View
  • 325 Download
  • 23 Web of Science
  • 35 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   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  
  • Probiotics: A potential strategy for improving diabetes mellitus complicated with cognitive impairment
    Xin Shen, Feiyan Zhao, Zhixin Zhao, Jie Yu, Zhihong Sun
    Microbiological Research.2025; 290: 127960.     CrossRef
  • Lactobacillus casei Zhang prevents hippocampal atrophy and cognitive impairment in rats with type 2 diabetes by regulating blood glucose levels
    Yue Cai, Xuxia Wang, Xi Chen, Sijie Liu, Linlin Cheng, Yan Kang, Fuchun Lin
    Brain Research.2025; 1850: 149407.     CrossRef
  • Cerebral white matter damage in patients with end-stage kidney disease associates with cognitive impairment
    Yi-Chou Hou, Chih-Chien Tsai, Ruei-Ming Chen, Yi-Chien Liu, Kuo-Cheng Lu, Yao-Liang Chen, Ting-Wen Shen, Jiun-Jie Wang
    Clinical Kidney Journal.2025;[Epub]     CrossRef
  • Non-alcoholic fatty liver disease is associated with structural covariance network reconfiguration in cognitively unimpaired adults with type 2 diabetes
    Xin Li, Wen Zhang, Yan Bi, Linqing Fu, Jiaming Lu, Jiu Chen, Qian Li, Xinyi Shen, Min Wu, Yi Zhang, Xin Zhang, Zhou Zhang, Zhengyang Zhu, Bing Zhang
    Neuroscience.2025; 568: 58.     CrossRef
  • The psychological basis of hunger and its dysfunctions
    Richard J Stevenson
    Nutrition Reviews.2024; 82(10): 1444.     CrossRef
  • 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; 39(4): 409.     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
  • Diabetes mellitus in older persons with neurocognitive disorder: overtreatment prevalence and associated structural brain MRI findings
    Pauline Putallaz, Laurence Seematter-Bagnoud, Bogdan Draganski, Olivier Rouaud, Hélène Krief, Christophe J. Büla
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Accelerometer‐Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank
    Stephanie J. Zawada, Ali Ganjizadeh, Gian Marco Conte, Bart M. Demaerschalk, Bradley J. Erickson
    Journal of the American Heart Association.2024;[Epub]     CrossRef
  • Effects of glycaemic control on memory performance, hippocampal volumes and depressive symptomology
    Gulin Yatagan Sevim, Erkan Alkan, Tamara P. Taporoski, Jose E Krieger, Alex C Pereira, Simon L. Evans
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • The effect of diabetes in the multifaceted relationship between education and cognitive function
    Constantin Reinke
    BMC Public Health.2024;[Epub]     CrossRef
  • Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures
    Lara Dular, Žiga Špiclin
    Biomedicines.2024; 12(9): 2139.     CrossRef
  • Discovery of High-Risk Clinical Factors That Accelerate Brain Aging in Adults: A Population-Based Machine Learning Study
    Jing Sun, Luyao Wang, Yiwen Gao, Ying Hui, Shuohua Chen, Shouling Wu, Zhenchang Wang, Jiehui Jiang, Han Lv
    Research.2024;[Epub]     CrossRef
  • Sex‐Specific Vulnerabilities to Subclinical Vascular Brain Injury in Early Late‐Life: The Framingham Heart Study
    Wai‐Ying Wendy Yau, Matthew R. Scott, Rodica E. Petrea, Rachel F. Buckley, Daniel Kojis, Reisa A. Sperling, Jasmeer P. Chhatwal, Pauline Maillard, Hugo J. Aparicio, Jose Rafael Romero, Charles S. DeCarli, Alexa S. Beiser, Sudha Seshadri
    Annals of Neurology.2024;[Epub]     CrossRef
  • The effects of aerobic exercise on cognitive function in middle-aged and older individuals with type 2 diabetes: A pilot randomized controlled trial
    Tingting Liu, Wen-Juo Lo, Jie Chen, Jing Wang, Changwei Li
    Geriatric Nursing.2024; 60: 677.     CrossRef
  • Consolidation Regimen and Cerebral Atrophy in Patients With Primary Central Nervous System Lymphoma
    Kathryn R. Tringale, Christian Grommes, Burcin A. Ucpinar, Anne S. Reiner, Joachim Yahalom, Gustav Y. Cederquist, Lauren R. Schaff, Vaios Hatzoglou, Robert J. Young, Mousa Payinkay, Grace Bartlett, Michael Scordo, Brandon S. Imber, Javin Schefflein
    International Journal of Radiation Oncology*Biology*Physics.2024;[Epub]     CrossRef
  • 1H NMR-Based Metabolomic Signatures in Rodent Models of Sporadic Alzheimer’s Disease and Metabolic Disorders
    Ananya Shukla, Khushbhu Meena, Ashish Gupta, Rajat Sandhir
    ACS Chemical Neuroscience.2024; 15(24): 4478.     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
  • 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
  • Changes in Starburst Amacrine Cells in Mice with Diabetic Retinopathy
    Jae-Rim Son, Myung-Jun Lee, Chang-Jin Jeon
    Frontiers in Bioscience-Landmark.2023;[Epub]     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
Erratum
MondoA Is Required for Normal Myogenesis and Regulation of the Skeletal Muscle Glycogen Content in Mice
Hui Ran, Yao Lu, Qi Zhang, Qiuyue Hu, Junmei Zhao, Kai Wang, Xuemei Tong, Qing Su
Diabetes Metab J. 2021;45(5):797-797.   Published online September 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0251
Corrects: Diabetes Metab J 2021;45(3):439
  • 3,644 View
  • 85 Download
  • 5 Web of Science
  • 5 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Body‐Wide Inactivation of the Myc‐Like Mlx Transcription Factor Network Accelerates Aging and Increases the Lifetime Cancer Incidence
    Huabo Wang, Taylor Stevens, Jie Lu, Alexander Roberts, Clinton Van't Land, Radhika Muzumdar, Zhenwei Gong, Jerry Vockley, Edward V. Prochownik
    Advanced Science.2024;[Epub]     CrossRef
  • Attenuated glucose uptake promotes catabolic metabolism through activated AMPK signaling and impaired insulin signaling in zebrafish
    Longwei Xi, Gang Zhai, Yulong Liu, Yulong Gong, Qisheng Lu, Zhimin Zhang, Haokun Liu, Junyan Jin, Xiaoming Zhu, Zhan Yin, Shouqi Xie, Dong Han
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • Glucose-induced and ChREBP: MLX-mediated lipogenic program promotes hepatocellular carcinoma development
    Aijuan Yu, Pengcheng Yu, Yuwen Zhu, Rui Zhu, Renqiang Sun, Dan Ye, Fa-Xing Yu
    Oncogene.2023; 42(43): 3182.     CrossRef
  • Regulation of Normal and Neoplastic Proliferation and Metabolism by the Extended Myc Network
    Edward V. Prochownik
    Cells.2022; 11(24): 3974.     CrossRef
  • The Roles of Carbohydrate Response Element Binding Protein in the Relationship between Carbohydrate Intake and Diseases
    Katsumi Iizuka
    International Journal of Molecular Sciences.2021; 22(21): 12058.     CrossRef
Original Article
Basic Research
Article image
MondoA Is Required for Normal Myogenesis and Regulation of the Skeletal Muscle Glycogen Content in Mice
Hui Ran, Yao Lu, Qi Zhang, Qiuyue Hu, Junmei Zhao, Kai Wang, Xuemei Tong, Qing Su
Diabetes Metab J. 2021;45(3):439-451.   Published online May 18, 2020
DOI: https://doi.org/10.4093/dmj.2019.0212
Correction in: Diabetes Metab J 2021;45(5):797
  • 7,826 View
  • 199 Download
  • 5 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

Skeletal muscle is the largest tissue in the human body, and it plays a major role in exerting force and maintaining metabolism homeostasis. The role of muscle transcription factors in the regulation of metabolism is not fully understood. MondoA is a glucose-sensing transcription factor that is highly expressed in skeletal muscle. Previous studies suggest that MondoA can influence systemic metabolism homeostasis. However, the function of MondoA in the skeletal muscle remains unclear.

Methods

We generated muscle-specific MondoA knockout (MAKO) mice and analyzed the skeletal muscle morphology and glycogen content. Along with skeletal muscle from MAKO mice, C2C12 myocytes transfected with small interfering RNA against MondoA were also used to investigate the role and potential mechanism of MondoA in the development and glycogen metabolism of skeletal muscle.

Results

MAKO caused muscle fiber atrophy, reduced the proportion of type II fibers compared to type I fibers, and increased the muscle glycogen level. MondoA knockdown inhibited myoblast proliferation, migration, and differentiation by inhibiting the phosphatase and tensin homolog (PTEN)/phosphoinositide 3-kinase (PI3K)/Akt pathway. Further mechanistic experiments revealed that the increased muscle glycogen in MAKO mice was caused by thioredoxin-interacting protein (TXNIP) downregulation, which led to upregulation of glucose transporter 4 (GLUT4), potentially increasing glucose uptake.

Conclusion

MondoA appears to mediate mouse myofiber development, and MondoA decreases the muscle glycogen level. The findings indicate the potential function of MondoA in skeletal muscle, linking the glucose-related transcription factor to myogenesis and skeletal myofiber glycogen metabolism.

Citations

Citations to this article as recorded by  
  • The Function of MondoA and ChREBP Nutrient—Sensing Factors in Metabolic Disease
    Byungyong Ahn
    International Journal of Molecular Sciences.2023; 24(10): 8811.     CrossRef
  • Normal and Neoplastic Growth Suppression by the Extended Myc Network
    Edward V. Prochownik, Huabo Wang
    Cells.2022; 11(4): 747.     CrossRef
  • The Role of Mondo Family Transcription Factors in Nutrient-Sensing and Obesity
    Huiyi Ke, Yu Luan, Siming Wu, Yemin Zhu, Xuemei Tong
    Frontiers in Endocrinology.2021;[Epub]     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP