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. 2021 Jul;99(7):1725-1743.
doi: 10.1002/jnr.24830. Epub 2021 Apr 5.

Brain deficits in prediabetic adults: A systematic review

Joyla A Furlano  1 , Becky R Horst  1 , Lindsay S Nagamatsu  2
Affiliations

Brain deficits in prediabetic adults: A systematic review

Joyla A Furlano et al. J Neurosci Res. 2021 Jul.

Abstract

Previous findings on the relationship between prediabetes (the precursor stage of type 2 diabetes) and brain health in humans are inconsistent. Thus, this systematic review of cross-sectional and longitudinal studies aimed to summarize what is currently known about brain deficits in prediabetic adults. Following the PRISMA reporting standards for systematic reviews, we conducted a comprehensive review of peer-reviewed journal articles published from 2009 to present, focusing on studies that assessed brain volume, structural connectivity, and cerebrovascular health in prediabetic adults and older adults (i.e., 18 years or older). We systematically searched PsychINFO, Scopus, Web of Science, Ovid MEDLINE, CINAHL, and EMbase databases. Quality assessment was based on the NIH Quality Assessment Tool for Observational and Cross-sectional Studies. In total, 19 studies were included in our review. Results from these studies show that prediabetes may be associated with deficits in brain structure and pathology, however, several studies also refute these findings. Moreover, we identified clear inconsistencies in study methodologies, including diabetes measures and classification, across studies that may account for these conflicting findings.

Keywords: brain health; magnetic resonance imaging; prediabetes; structural; systematic review.

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References

REFERENCES

    1. American Diabetes Association. (2020). Classification and diagnosis of diabetes: Standards of medical care in diabetes-2020. Diabetes Care, 43, S14-S31.
    1. Bamberg, F. , Hetterich, H. , Rospleszcz, S. , Lorbeer, R. , Auweter, S. D. , Schlett, C. L. , Schafnitzel, A. , Bayerl, C. , Schindler, A. , Saam, T. , Müller-Peltzer, K. , Sommer, W. , Zitzelsberger, T. , Machann, J. , Ingrisch, M. , Selder, S. , Rathmann, W. , Heier, M. , Linkohr, B. , … Peters, A. (2017). Subclinical disease burden as assessed by whole-body MRI in subjects with prediabetes, subjects with diabetes, and normal control subjects from the general population: The KORA-MRI study. Diabetes, 66, 158-169. https://doi.org/10.2337/db16-0630
    1. Caeyenberghs, K. , & Swinnen, S. P. (2015). Neural correlates of motor deficits in young patients with traumatic brain injury. Brain Mapping: An Encyclopedic Reference, 2, 461-468.
    1. Convit, A. , Wolf, O. T. , Tarshish, C. , & de Leon, M. J. (2003). Reduced glucose tolerance is associated with poor memory performance and hippocampal atrophy among normal elderly. Proceedings of the National Academy of Sciences of the United States of America, 100, 2019-2022. https://doi.org/10.1073/pnas.0336073100
    1. Cui, D. , Liu, X. , Liu, M. , Cao, W. , Xue, Y. , Guo, Y. , Guo, Y. , Lu, A. , & Jiao, Q. (2019). Subcortical gray matter structural alterations in prediabetes and type 2 diabetes. NeuroReport, 30, 441-445. https://doi.org/10.1097/WNR.0000000000001224

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