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Glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits

BACKGROUND: In the past, researchers have observed a significant link between glycemia and dementia. Medial temporal atrophy (MTA) is regarded as a common marker of dementia. The correlation between glycemic variability and MTA is unclear, and it has not been determined whether glycemic variability...

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Autores principales: Zhang, Shuangmei, Wang, Anrong, Liu, Shen, Liu, Hongyu, Zhu, Weifeng, Zhang, Zhaoxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390778/
https://www.ncbi.nlm.nih.gov/pubmed/37533764
http://dx.doi.org/10.3389/fnagi.2023.1156908
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author Zhang, Shuangmei
Wang, Anrong
Liu, Shen
Liu, Hongyu
Zhu, Weifeng
Zhang, Zhaoxu
author_facet Zhang, Shuangmei
Wang, Anrong
Liu, Shen
Liu, Hongyu
Zhu, Weifeng
Zhang, Zhaoxu
author_sort Zhang, Shuangmei
collection PubMed
description BACKGROUND: In the past, researchers have observed a significant link between glycemia and dementia. Medial temporal atrophy (MTA) is regarded as a common marker of dementia. The correlation between glycemic variability and MTA is unclear, and it has not been determined whether glycemic variability can be utilized as a biomarker of MTA and cognitive performance. METHODS: The patients in a memory clinic who underwent brain MRI scans and cognitive assessments within the first week of their hospital visit, were enrolled. All participants underwent three fasting blood glucose and one HBA1c assessments on three self-selected days within 1 week of their first visit. The variability independent of the mean (VIM) was employed. Validated visual scales were used to rate the MTA results. The mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA) scales were employed to assess the cognitive functions of the participants. Spearman’s correlation and regression models were used to examine the relationship between the MMSE and MoCA scales, and also determine the link between the MRI characteristics and cognitive status, where vascular risk factors, educational status, age, gender, and mean glucose parameters served as covariates. RESULTS: Four hundred sixty-one subjects completed the MMSE scale, while 447 participants completed the MoCA scale. Data analysis revealed that 47.72% of the participants were men (220/461), and the median age of the patients was 69.87 ± 5.37 years. The findings of Spearman’s correlation analysis exhibited a strong negative relationship between the VIM and MMSE score (r = −0.729, P < 0.01), and the MoCA score (r = −0.710, P < 0.01). The VIM was regarded as an independent risk factor for determining cognitive impairment in both the MMSE and MoCA assessments. The results were unaffected by sensitivity analysis. In addition, a non-linear relationship was observed between the VIM and MTA scores. CONCLUSION: The variability in the blood glucose levels, which was presented as VIM, was related to the reduced cognitive function, which was reflected by MMSE and MoCA scales. The relationship between the VIM and the MTA score was non-linear. The VIM was positively related to the MTA score when the VIM was less than 2.42.
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spelling pubmed-103907782023-08-02 Glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits Zhang, Shuangmei Wang, Anrong Liu, Shen Liu, Hongyu Zhu, Weifeng Zhang, Zhaoxu Front Aging Neurosci Neuroscience BACKGROUND: In the past, researchers have observed a significant link between glycemia and dementia. Medial temporal atrophy (MTA) is regarded as a common marker of dementia. The correlation between glycemic variability and MTA is unclear, and it has not been determined whether glycemic variability can be utilized as a biomarker of MTA and cognitive performance. METHODS: The patients in a memory clinic who underwent brain MRI scans and cognitive assessments within the first week of their hospital visit, were enrolled. All participants underwent three fasting blood glucose and one HBA1c assessments on three self-selected days within 1 week of their first visit. The variability independent of the mean (VIM) was employed. Validated visual scales were used to rate the MTA results. The mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA) scales were employed to assess the cognitive functions of the participants. Spearman’s correlation and regression models were used to examine the relationship between the MMSE and MoCA scales, and also determine the link between the MRI characteristics and cognitive status, where vascular risk factors, educational status, age, gender, and mean glucose parameters served as covariates. RESULTS: Four hundred sixty-one subjects completed the MMSE scale, while 447 participants completed the MoCA scale. Data analysis revealed that 47.72% of the participants were men (220/461), and the median age of the patients was 69.87 ± 5.37 years. The findings of Spearman’s correlation analysis exhibited a strong negative relationship between the VIM and MMSE score (r = −0.729, P < 0.01), and the MoCA score (r = −0.710, P < 0.01). The VIM was regarded as an independent risk factor for determining cognitive impairment in both the MMSE and MoCA assessments. The results were unaffected by sensitivity analysis. In addition, a non-linear relationship was observed between the VIM and MTA scores. CONCLUSION: The variability in the blood glucose levels, which was presented as VIM, was related to the reduced cognitive function, which was reflected by MMSE and MoCA scales. The relationship between the VIM and the MTA score was non-linear. The VIM was positively related to the MTA score when the VIM was less than 2.42. Frontiers Media S.A. 2023-07-18 /pmc/articles/PMC10390778/ /pubmed/37533764 http://dx.doi.org/10.3389/fnagi.2023.1156908 Text en Copyright © 2023 Zhang, Wang, Liu, Liu, Zhu and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zhang, Shuangmei
Wang, Anrong
Liu, Shen
Liu, Hongyu
Zhu, Weifeng
Zhang, Zhaoxu
Glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits
title Glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits
title_full Glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits
title_fullStr Glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits
title_full_unstemmed Glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits
title_short Glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits
title_sort glycemic variability correlates with medial temporal lobe atrophy and decreased cognitive performance in patients with memory deficits
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390778/
https://www.ncbi.nlm.nih.gov/pubmed/37533764
http://dx.doi.org/10.3389/fnagi.2023.1156908
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