山东大学学报(医学版) ›› 2015, Vol. 53 ›› Issue (2): 43-47.doi: 10.6040/j.issn.1671-7554.0.2014.543
胡芳志1, 张正军2, 耿厚法2, 梁秋华2, 孙琳2
HU Fangzhi1, ZHANG Zhengjun2, GENG Houfa2, LIANG Qiuhua2, SUN Lin2
摘要: 目的 采用氢质子磁共振波谱(1H-MRS)技术检测2型糖尿病(T2DM)患者脑内基底节、半卵圆中心区域脑组织代谢改变,表明尿微量白蛋白是脑组织损害的早期标志.方法 初诊T2DM患者61例,根据尿微量白蛋白排泄率(UAER)分为正常微量白蛋白尿组(DM组,UAER<20 μg/min,n=29)和微量白蛋白尿组(DA组,20 μg/min≤UAER<200 μg/min,n=32), 同时选取20名健康志愿者为正常对照组(HC组).所有受试者行常规磁共振(MRI)以及1H-MRS检查.结果 基底节区:DA组NAA/Cr比值较DM组、HC组明显降低(P<0.05),DM组NAA/Cr比值较HC组明显降低(P<0.05),DA组Cho/Cr比值较HC组明显升高(P<0.05).半卵圆中心区:DA组NAA/Cr比值明显低于HC组(P<0.05),DM组Cho/Cr比值较HC组明显升高(P<0.05),DA组MI/Cr比值较DM组、HC组明显升高(P<0.05).DA组基底节区NAA/Cr值与UAER水平呈负相关性(r=-0.768, P<0.05).结论 尿微量白蛋白升高的T2DM患者可更容易合并脑组织损伤.
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| [1] Futrakul N, Sridama V, Futrakul P. Microalbuminuria-a biomarker of renal microvascular disease[J]. Ren Fail, 2009, 31(2): 140-143. [2] Strachan MW, Frier BM, Deary LJ. Type 2 diabetes and cognitive impairment[J]. Diabet Med, 2003, 20(1): 1-2. [3] Mogi M, Horiuchi M. Neurovascular coupling in cognitive impairment associated with diabetes mellitus[J]. Cric J, 2011, 75(5): 1042-1048. [4] Garg JP, Bakris GL. Microalbuminuria: marker of vascular dysfunction, risk factor for cardiovascular disease[J]. Vasc Med, 2002, 7(1): 35-43. [5] Cao JJ, Barzilay JI, Peterson D, et al. The association of microalbuminuria with clinical cardiovascular disease and subclinical atherosclerosis in the elderly: the Cardiovascular Health Study[J]. Atherosclerosis, 2006, 187(2): 372-377. [6] Wang Y, Yuan A, Yu C. Correlation between microalbuminuria and cardiovascular events[J]. Int J Clin Exp Med, 2013, 6(10): 973-978. [7] Wada M, Nagasawa H, Kurita K, et al. Microalbuminuria is a risk factor for cerebral small vessel disease in community-based elderly subjects[J]. J Neurol Sci, 2007, 255(1-2): 27-34. [8] Currie S, Hadjivassiliou M, Craven IJ, et al. Magnetic resonance spectroscopy of the brain[J]. Postgrad Med J, 2013, 89(1048): 94-106. [9] Zhang M, Sun X, Zhang Z, Brain metabolite changes in patients with type 2 diabetes and cerebral infarction using proton magnetic resonance spectroscopy[J]. Int J Neurosci, 2014, 124(1): 37-41. [10] Alberti KG, Zimmet PZ. Definition, diagnosis, and classification of diabetes mellitus and its complications, part 2: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation[J]. Diabet Med, 1998, 15(7): 539-553. [11] Hanefeld M, Koehler C, Fuecker K, et al. Insulin secretion and insulin sensitivity pattern is different in isolated impaired glucose tolerance and impaired fasting glucose: the risk factor in impaired glucose tolerance for atherosclerosis and diabetes study[J]. Diabetes Care, 2003, 26(3): 868-874. [12] Nwose EU, Richards RS, Bwititi PT. Cardiovascular risks in prediabetes: preliminary data on "vasculopathy triad"[J]. N Am J Med Sci, 2014, 6(7): 328-332. [13] Vermeer SE, Sandee W, Algra A, et al. Impaired glucose tolerance increases stroke risk in nondiabetic patients with transient ischemic attack or minor ischemic stroke[J]. Stroke, 2006, 37(6): 1413-1417. [14] O'Rourke MF, Safar ME. Relationship between aortic stiffening and microvascular disease in brain and kidney: cause and logic of therapy[J]. Hypertension, 2005, 46(1): 200-204. [15] Bouchi R, Babazono T, Nyumura I, et al. Is reduced estimated glomerular filtration rate a risk factor for stroke in patients with type 2 diabetes?[J]. Hypertens Res, 2009, 32(5): 381-386. [16] Ito S, Nagasawa T, Abe M, et al. Strain vessel hypothesis: a viewpoint for linkage of albuminuria and cerebro-cardiovascular risk[J]. Hypertens Res, 2009, 32(2): 115-121. [17] Soares DP, Law M. Magnetic resonance spectroscopy of the brain: review of metabolites and clinical applications[J]. Clin Radiol, 2009, 64(1): 12-21. [18] Paslakis G, Trber F, Roberz J, et al. N-acetyl-aspartate (NAA) as a correlate of pharmacological treatment in psychiatric disorders: A systematic review. Eur Neuropsychopharmacol[J]. Eur Neuropsychopharmacol, 2014, 24(10): 1659-1675. [19] Haratz S, Tanne D. Diabetes, hyperglycemia and the management of cerebrovascular disease[J]. Curr Opin Neurol, 2011, 24(1): 81-88. [20] Evans JL, Goldfine ID, Maddux BA. Oxidative stress and stress activated signaling pathways: a unifying hypothesis of type 2 diabetes[J]. Endocr Rev, 2002, 23(5): 599-622. [21] 黄强, 浦明娟, 刘剑峰, 等. 2型糖尿病尿微量白蛋白、血管内皮功能、超敏C反应蛋白的关系探讨[J].实用医学杂志, 2009, 25(5): 746-748. [22] Hu ZJ, Ren LP, Wang C, et al. Associations between apolipoprotein CIII concentrations and microalbuminuria in type 2 diabetes[J]. Exp Ther Med, 2014, 8(3): 951-956. [23] Overgaard AJ, McGuire JN, Hovind P. Serum amyloid A and C-reactive protein levels may predict microalbuminuria and macroalbuminuria in newly diagnosed type 1 diabetic patients[J]. J Diabetes Complications, 2013, 27(1): 59-63. [24] Moresco RN, Sangoi MB, De Carvalho JA, et al. Diabetic nephropathy: traditional to proteomic markers[J]. Clin Chim Acta, 2013, 421(1): 17-30. [25] Ajilore O, Haroon E, Kumaran S, et al. Measurement of brain metabolites in patients with type 2 diabetes and major depression using proton magnetic resonance spectroscopy[J]. Neuropsychopharmacology, 2007, 32(6):1224-1231. [26] Stromillo ML, Dotti MT, Battaglini M, et al. Structural and metabolic brain abnormalities in preclinical cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy[J]. J Neurol Neurosurg Psychiatry, 2009, 80(1):41-47. [27] Geissler A, Frund R, Scholmerich J, et al. Alterations of cerebral metabolism in patients with diabetes mellitus studied by proton magnetic resonance spectroscopy[J]. Exp Clin Endocrinol Diabetes, 2003, 111(7):421-427. [28] Tong J, Geng H, Zhang Z, et al. Brain metabolite alterations demonstrated by proton magnetic resonance spectroscopy in diabetic patients with retinopathy[J]. Magn Reson Imaging, 2014, 32(8):1037-1042. [29] Saczynski JS, Siggurdsson S, Jonsson PV, et al. Glycemic status and brain injury in older individuals:the age gene/environment susceptibility-Reykjavik study[J]. Diabetes Care, 2009, 32 (9):1608-1613. [30] Patel B, Markus HS. Magnetic resonance imaging in cerebral small vessel disease and its use as a surrogate disease marker[J]. Int J Stroke, 2011, 6(1):47-59. |
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