Suppr超能文献

2 型糖尿病的神经认知功能障碍:遗传病因学证据。

Neurocognitive impairment in type 2 diabetes: evidence for shared genetic aetiology.

机构信息

Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA.

Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.

出版信息

Diabetologia. 2020 May;63(5):977-986. doi: 10.1007/s00125-020-05101-y. Epub 2020 Feb 4.

Abstract

AIMS/HYPOTHESIS: Type 2 diabetes is associated with cognitive impairments, but it is unclear whether common genetic factors influence both type 2 diabetes risk and cognition.

METHODS

Using data from 1892 Mexican-American individuals from extended pedigrees, including 402 with type 2 diabetes, we examined possible pleiotropy between type 2 diabetes and cognitive functioning, as measured by a comprehensive neuropsychological test battery.

RESULTS

Negative phenotypic correlations (ρ) were observed between type 2 diabetes and measures of attention (Continuous Performance Test [CPT d']: ρ = -0.143, p = 0.001), verbal memory (California Verbal Learning Test [CVLT] recall: ρ = -0.111, p = 0.004) and face memory (Penn Face Memory Test [PFMT]: ρ = -0.127, p = 0.002; PFMT Delayed: ρ = -0.148, p = 2 × 10), replicating findings of cognitive impairment in type 2 diabetes. Negative genetic correlations (ρ) were also observed between type 2 diabetes and measures of attention (CPT d': ρ = -0.401, p = 0.001), working memory (digit span backward test: ρ = -0.380, p = 0.005), and face memory (PFMT: ρ = -0.476, p = 2 × 10; PFMT Delayed: ρ = -0.376, p = 0.005), suggesting that the same genetic factors underlying risk for type 2 diabetes also influence poor cognitive performance in these domains. Performance in these domains was also associated with type 2 diabetes risk using an endophenotype ranking value approach. Specifically, on measures of attention (CPT d': β = -0.219, p = 0.005), working memory (digit span backward: β = -0.326, p = 0.035), and face memory (PFMT: β = -0.171, p = 0.023; PFMT Delayed: β = -0.215, p = 0.005), individuals with type 2 diabetes showed the lowest performance, while unaffected/unrelated individuals showed the highest performance, and those related to an individual with type 2 diabetes performed at an intermediate level.

CONCLUSIONS/INTERPRETATION: These findings suggest that cognitive impairment may be a useful endophenotype of type 2 diabetes and, therefore, help to elucidate the pathophysiological underpinnings of this chronic disease.

DATA AVAILABILITY

The data analysed in this study is available in dbGaP: www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001215.v2.p2.

摘要

目的/假设:2 型糖尿病与认知障碍有关,但尚不清楚常见的遗传因素是否会同时影响 2 型糖尿病的风险和认知能力。

方法

使用来自扩展家系的 1892 名墨西哥裔美国人的数据(包括 402 名 2 型糖尿病患者),我们使用全面的神经心理学测试组合来检查 2 型糖尿病与认知功能之间是否存在潜在的多效性。

结果

观察到 2 型糖尿病与注意力(连续性能测试 [CPT d']:ρ=−0.143,p=0.001)、语言记忆(加利福尼亚语言学习测试 [CVLT] 回忆:ρ=−0.111,p=0.004)和面孔记忆(宾夕法尼亚面孔记忆测试 [PFMT]:ρ=−0.127,p=0.002;PFMT 延迟:ρ=−0.148,p=2×10)之间存在负表型相关性,复制了 2 型糖尿病认知障碍的发现。也观察到 2 型糖尿病与注意力(CPT d':ρ=−0.401,p=0.001)、工作记忆(数字跨度回溯测试:ρ=−0.380,p=0.005)和面孔记忆(PFMT:ρ=−0.476,p=2×10;PFMT 延迟:ρ=−0.376,p=0.005)之间存在负遗传相关性,这表明导致 2 型糖尿病的相同遗传因素也会影响这些领域的认知表现不佳。使用表型评分值方法,这些领域的表现也与 2 型糖尿病风险相关。具体来说,在注意力测量(CPT d':β=−0.219,p=0.005)、工作记忆(数字跨度回溯:β=−0.326,p=0.035)和面孔记忆(PFMT:β=−0.171,p=0.023;PFMT 延迟:β=−0.215,p=0.005)方面,2 型糖尿病患者的表现最差,而未受影响/无关个体的表现最好,而与 2 型糖尿病患者相关的个体的表现处于中间水平。

结论/解释:这些发现表明,认知障碍可能是 2 型糖尿病的一个有用的表型,因此有助于阐明这种慢性疾病的病理生理基础。

数据可用性

本研究分析的数据可在 dbGaP 中获得:www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001215.v2.p2。

相似文献

3
The characteristic of cognitive function in Type 2 diabetes mellitus.2 型糖尿病患者的认知功能特征。
Diabetes Res Clin Pract. 2015 Aug;109(2):299-305. doi: 10.1016/j.diabres.2015.05.019. Epub 2015 May 14.

引用本文的文献

本文引用的文献

3
The genetic architecture of type 2 diabetes.2型糖尿病的遗传结构
Nature. 2016 Aug 4;536(7614):41-47. doi: 10.1038/nature18642. Epub 2016 Jul 11.
4
Diabetes: Still a geneticist's nightmare.糖尿病:仍是遗传学家的噩梦。
Nature. 2016 Aug 4;536(7614):37-8. doi: 10.1038/nature18906. Epub 2016 Jul 13.
6
Assessing the genetic overlap between BMI and cognitive function.评估体重指数与认知功能之间的遗传重叠。
Mol Psychiatry. 2016 Oct;21(10):1477-82. doi: 10.1038/mp.2015.205. Epub 2016 Feb 9.
10
The interactive effects of age, education, and BMI on cognitive functioning.年龄、教育程度和体重指数对认知功能的交互作用。
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2016;23(2):253-62. doi: 10.1080/13825585.2015.1082531. Epub 2015 Sep 1.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验