| Lipids in Health and Disease | |
| Poorly controlled cholesterol is associated with cognitive impairment in T2DM: a resting-state fMRI study | |
| Shaohua Wang2  Yue Yang1  Pin Wang1  Yang Yang3  Bin Zhang3  Wenqing Xia4  | |
| [1] Department of Endocrinology, ZhongDa Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing 210009, PR China;Medical school of Southeast University, No.87 Dingjiaqiao Road, Nanjing 210009, PR China;Outpatient Depart, Panda Group Community Health Service Centre, No.4 Qingxi Road, Nanjing 210009, PR China;Center for functional Neuroimaging, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia 19104, PA, USA | |
| 关键词: Functional connectivity; Resting-state fMRI; Cognitive impairment; Type 2 diabetes mellitus; Cholesterol; | |
| Others : 1214344 DOI : 10.1186/s12944-015-0046-x |
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| received in 2015-01-18, accepted in 2015-05-13, 发布年份 2015 | |
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【 摘 要 】
Background
Debate remains on whether hypercholesterolemia is associated with cognitive impairment. Hence, we investigated whether poorly controlled cholesterol impairs functional connectivity among patients with type 2 diabetes mellitus (T2DM).
Methods
Resting-state functional connectivity infers to an interregional cooperation characterized by synchronous and low-frequency (<0.08 Hz) fluctuations on blood oxygen level–dependent functional magnetic resonance imaging (fMRI). We used resting-state fMRI to investigate the functional connectivity of 25 T2DM patients with poorly controlled cholesterol, 22 patients with target cholesterol and 26 healthy controls. Further correlation analysis was conducted between the functional connectivity and clinical data as well as neuropsychological tests.
Results
The three groups did not statistically differ in age, sex, education level, body mass index, blood pressure, fasting C-peptides, and triglyceride. Compared with target cholesterol patients, patients with poorly controlled cholesterol showed significantly increased levels of serum cholesterol, low-density lipoprotein (LDL), and LDL/high-density lipoproteins (HDL) ratio, as well as poor performance in Trail Making Test B (TMT-B) (p < 0.05). Disordered functional connectivity of bilateral hippocampus-middle frontal gyrus (MFG) in the poorly controlled group consistently existed when compared with the two other groups. Moreover, the aberrant functional connectivity was associated with the TMT-B scores and the LDL/HDL index in T2DM patients with poorly controlled cholesterol.
Conclusions
T2DM patients with poorly controlled cholesterol showed impaired attention and executive function. The resting-state connectivity disturbance of the hippocampus-MFG may be involved in this process. Decreasing the LDL/HDL ratio can be taken as precaution against cognitive decrements.
【 授权许可】
2015 Xia et al.; licensee BioMed Central.
【 预 览 】
| Files | Size | Format | View |
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| 20150624100829449.pdf | 1732KB | ||
| Fig. 3. | 29KB | Image | |
| Fig. 2. | 49KB | Image | |
| Fig. 1. | 66KB | Image |
【 图 表 】
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【 参考文献 】
- [1]McCrimmon RJ, Ryan CM, Frier BM. Diabetes and cognitive dysfunction. Lancet. 2012; 379:2291-9.
- [2]Luchsinger JA, Reitz C, Patel B, Tang M-X, Manly JJ, Mayeux R. Relation of diabetes to mild cognitive impairment. Arch Neurol. 2007; 64:570.
- [3]Biessels GJ, Deary IJ, Ryan CM. Cognition and diabetes: a lifespan perspective. Lancet Neurol. 2008; 7:184-90.
- [4]Braak H, Braak E. Staging of Alzheimer’s disease-related neurofibrillary changes. Neurobiol Aging. 1995; 16:271-8.
- [5]O’Sullivan M, Ngo E, Viswanathan A, Jouvent E, Gschwendtner A, Saemann PG et al.. Hippocampal volume is an independent predictor of cognitive performance in CADASIL. Neurobiol Aging. 2009; 30:890-7.
- [6]Gold S, Dziobek I, Sweat V, Tirsi A, Rogers K, Bruehl H et al.. Hippocampal damage and memory impairments as possible early brain complications of type 2 diabetes. Diabetologia. 2007; 50:711-9.
- [7]Bruehl H, Wolf OT, Sweat V, Tirsi A, Richardson S, Convit A. Modifiers of cognitive function and brain structure in middle-aged and elderly individuals with type 2 diabetes mellitus. Brain Res. 2009; 1280:186-94.
- [8]Stranahan AM, Arumugam TV, Cutler RG, Lee K, Egan JM, Mattson MP. Diabetes impairs hippocampal function through glucocorticoid-mediated effects on new and mature neurons. Nat Neurosci. 2008; 11:309-17.
- [9]Reitz C, Luchsinger J, Tang M-X, Manly J, Mayeux R. Impact of plasma lipids and time on memory performance in healthy elderly without dementia. Neurology. 2005; 64:1378-83.
- [10]Li G, Shofer J, Kukull W, Peskind E, Tsuang D, Breitner J et al.. Serum cholesterol and risk of Alzheimer disease a community-based cohort study. Neurology. 2005; 65:1045-50.
- [11]Kivipelto M, Helkala E-L, Hänninen T, Laakso M, Hallikainen M, Alhainen K et al.. Midlife vascular risk factors and late-life mild cognitive impairment a population-based study. Neurology. 2001; 56:1683-9.
- [12]Sparks DL, Kryscio RJ, Connor DJ, Sabbagh MN, Sparks LM, Lin Y et al.. Cholesterol and cognitive performance in normal controls and the influence of elective statin use after conversion to mild cognitive impairment: results in a clinical trial cohort. Neurodegener Dis. 2010; 7:183-6.
- [13]Solomon A, Kåreholt I, Ngandu T, Winblad B, Nissinen A, Tuomilehto J et al.. Serum cholesterol changes after midlife and late-life cognition twenty-one-year follow-up study. Neurology. 2007; 68:751-6.
- [14]Van Exel E, de Craen AJ, Gussekloo J, Houx P, Bootsma‐van der Wiel A, Macfarlane PW et al.. Association between high density lipoprotein and cognitive impairment in the oldest old. Ann Neurol. 2002; 51:716-21.
- [15]Yaffe K, Barrett-Connor E, Lin F, Grady D. Serum lipoprotein levels, statin use, and cognitive function in older women. Arch Neurol. 2002; 59:378.
- [16]Williamson JD, Launer LJ, Bryan RN, Coker LH, Lazar RM, Gerstein HC et al.. Cognitive function and brain structure in persons with type 2 diabetes mellitus after intensive lowering of blood pressure and lipid levels: a randomized clinical trial. JAMA Int Med. 2014; 174:324-33.
- [17]Goh DA, Dong Y, Lee WY, Koay WI, Tay SZ, Soon D et al.. A pilot study to examine the correlation between cognition and blood biomarkers in a Singapore Chinese male cohort with type 2 diabetes mellitus. PLoS One. 2014; 9: Article ID e96874
- [18]Umegaki H, Iimuro S, Shinozaki T, Araki A, Sakurai T, Iijima K et al.. Risk factors associated with cognitive decline in the elderly with type 2 diabetes: baseline data analysis of the Japanese elderly diabetes intervention trial. Geriatr Gerontol Int. 2012; 12:103-9.
- [19]Umegaki H, Iimuro S, Shinozaki T, Araki A, Sakurai T, Iijima K et al.. Risk factors associated with cognitive decline in the elderly with type 2 diabetes: pooled logistic analysis of a 6 year observation in the Japanese elderly diabetes intervention trial. Geriatr Gerontol Int. 2012; 12:110-6.
- [20]Xia W, Wang S, Sun Z, Bai F, Zhou Y, Yang Y et al.. Altered baseline brain activity in type 2 diabetes: a resting-state fMRI study. Psychoneuroendocrinology. 2013; 38:2493-501.
- [21]Zhou H, Lu W, Shi Y, Bai F, Chang J, Yuan Y et al.. Impairments in cognition and resting-state connectivity of the hippocampus in elderly subjects with type 2 diabetes. Neurosci Lett. 2010; 473:5-10.
- [22]Biswal B, Zerrin Yetkin F, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri. Magn Reson Med. 1995; 34:537-41.
- [23]Raichle ME, Macleod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL. A default mode of brain function. Proc Natl Acad Sci. 2001; 98:676-82.
- [24]Musen G, Jacobson AM, Bolo NR, Simonson DC, Shenton ME, McCartney RL et al.. Resting-state brain functional connectivity is altered in type 2 diabetes. Diabetes. 2012; 61:2375-9.
- [25]Scheltens P, Kittner B. Preliminary results from an MRI/CT based database for vascular dementia and Alzheimer’s disease. Ann N Y Acad Sci. 2000; 903:542-6.
- [26]Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002; 106:3143-421.
- [27]Haley AP, Forman DE, Poppas A, Hoth KF, Gunstad J, Jefferson AL et al.. Carotid artery intima-media thickness and cognition in cardiovascular disease. Int J Cardiol. 2007; 121:148-54.
- [28]Whitmer RA, Gunderson EP, Barrett-Connor E, Quesenberry CP, Yaffe K. Obesity in middle age and future risk of dementia: a 27 year longitudinal population based study. BMJ. 2005; 330:1360.
- [29]Berkman LF, Seeman TE, Albert M, Blazer D, Kahn R, Mohs R et al.. High, usual and impaired functioning in community-dwelling older men and women: findings from the MacArthur Foundation Research Network on Successful Aging. J Clin Epidemiol. 1993; 46:1129-40.
- [30]Lassek WD, Gaulin SJ. Waist-hip ratio and cognitive ability: is gluteofemoral fat a privileged store of neurodevelopmental resources? Evol Hum Behav. 2008; 29:26-34.
- [31]Waldstein S, Katzel L. Interactive relations of central versus total obesity and blood pressure to cognitive function. Int J Obes. 2005; 30:201-7.
- [32]Gunstad J, Lhotsky A, Wendell CR, Ferrucci L, Zonderman AB. Longitudinal examination of obesity and cognitive function: results from the Baltimore longitudinal study of aging. Neuroepidemiology. 2010; 34:222-9.
- [33]Jagust W, Harvey D, Mungas D, Haan M. Central obesity and the aging brain. Arch Neurol. 2005; 62:1545.
- [34]He X-S, Wang Z-X, Zhu Y-Z, Wang N, Hu X, Zhang D-R, et al. Hyperactivation of working memory-related brain circuits in newly diagnosed middle-aged type 2 diabetics. Acta Diabetol. 2014;1–10.
- [35]Wang C-X, Fu K-L, Liu H-J, Xing F, Zhang S-Y. Spontaneous brain activity in type 2 diabetics revealed by amplitude of Low-frequency fluctuations and its association with diabetic vascular disease: a resting-state fMRI study. PLoS One. 2014; 9: Article ID e108883
- [36]Marder TJ, Flores VL, Bolo NR, Hoogenboom WS, Simonson DC, Jacobson AM et al.. Task-induced brain activity patterns in type 2 diabetes: a potential biomarker for cognitive decline. Diabetes. 2014; 63(9):3112-9.
- [37]Alberti KGMM, Zimmet P. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO consultation. Diabet Med. 1998; 15:539-53.
- [38]Introduction. Diabetes Care. 2015; 38 Suppl:S1-2.
- [39]Van den Berg E, Reijmer Y, De Bresser J, Kessels R, Kappelle L, Biessels G et al.. A 4 year follow-up study of cognitive functioning in patients with type 2 diabetes mellitus. Diabetologia. 2010; 53:58-65.
- [40]Wahlund L, Barkhof F, Fazekas F, Bronge L, Augustin M, Sjögren M et al.. A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke. 2001; 32:1318-22.
- [41]Chao-Gan Y, Yu-Feng Z. DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Front Syst Neurosci. 2010;4.
- [42]Lowe M, Mock B, Sorenson J. Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage. 1998; 7:119-32.
- [43]Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster size threshold. Magn Reson Med. 1995; 33:636-47.
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