PMID- 28588480 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20200929 IS - 1663-4365 (Print) IS - 1663-4365 (Electronic) IS - 1663-4365 (Linking) VI - 9 DP - 2017 TI - Reduced Gray Matter Volume in Patients with Type 2 Diabetes Mellitus. PG - 161 LID - 10.3389/fnagi.2017.00161 [doi] LID - 161 AB - Background and Purpose: Previous studies of voxel-based morphometry (VBM) have found that patients with type 2 diabetes mellitus (T2DM) exhibit gray matter alterations, but these findings are inconsistent and have not been quantitatively reviewed. Therefore, the aim of this study was to conduct a quantitative meta-analysis of VBM studies of patients with T2DM. Materials and Methods: The seed-based d mapping method was applied to quantitatively estimate the regional gray matter abnormalities in T2DM patients. We also used meta-regression to explore the effects of some demographics and clinical characteristics. Results: Seven studies, with 8 datasets comprising 530 participants with T2DM and 549 non-T2DM controls, were included. The pooled and subgroup meta-analyses found that T2DM patients showed robustly reduced gray matter in the bilateral superior temporal gyrus, middle temporal gyrus, medial superior frontal gyrus, insula, median cingulate cortex, precuneus cortex and the left lentiform nucleus extending into the parahippocampus. The meta-regression also found that the percentage of female patients with T2DM was negatively associated with gray matter in the right superior temporal gyrus and illness duration was negatively associated with gray matter in the right middle temporal gyrus. Conclusion: This meta-analysis indicates that T2DM patients have significantly and robustly reduced gray matter mainly in the cortical-striatal-limbic networks, which are associated with human cognition. Thereby implicating this finding in the pathophysiology of cognitive impairment in T2DM patients. FAU - Liu, Jia AU - Liu J AD - Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou UniversityZhengzhou, China. AD - Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan, China. FAU - Liu, Taiyuan AU - Liu T AD - Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou UniversityZhengzhou, China. FAU - Wang, Wenhui AU - Wang W AD - Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou UniversityZhengzhou, China. FAU - Ma, Lun AU - Ma L AD - Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou UniversityZhengzhou, China. FAU - Ma, Xiaoyue AU - Ma X AD - Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou UniversityZhengzhou, China. FAU - Shi, Shaojie AU - Shi S AD - Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou UniversityZhengzhou, China. FAU - Gong, Qiyong AU - Gong Q AD - Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan UniversityChengdu, China. FAU - Wang, Meiyun AU - Wang M AD - Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou UniversityZhengzhou, China. LA - eng PT - Journal Article DEP - 20170522 PL - Switzerland TA - Front Aging Neurosci JT - Frontiers in aging neuroscience JID - 101525824 PMC - PMC5439076 OTO - NOTNLM OT - gray matter OT - meta-analysis OT - seed-based d mapping OT - type 2 diabetes OT - voxel-based morphometry EDAT- 2017/06/08 06:00 MHDA- 2017/06/08 06:01 PMCR- 2017/01/01 CRDT- 2017/06/08 06:00 PHST- 2017/02/05 00:00 [received] PHST- 2017/05/08 00:00 [accepted] PHST- 2017/06/08 06:00 [entrez] PHST- 2017/06/08 06:00 [pubmed] PHST- 2017/06/08 06:01 [medline] PHST- 2017/01/01 00:00 [pmc-release] AID - 10.3389/fnagi.2017.00161 [doi] PST - epublish SO - Front Aging Neurosci. 2017 May 22;9:161. doi: 10.3389/fnagi.2017.00161. eCollection 2017.