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Matrix metalloproteinase 14 modulates diabetes and Alzheimer’s disease cross-talk: a meta-analysis

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Abstract

Diabetes mellitus is associated with dementia, but whether diabetes is associated with Alzheimer’s disease remains controversial. Alzheimer’s disease is characterized by amyloid beta aggregation. We hypothesized that genes, involved in amyloid beta degradation, may be altered due to diabetes and thus participate in progression of Alzheimer’s disease. Expression profiling of amyloid beta-degrading enzymes in streptozotocin-induced diabetic mice and their correlation with expression of amyloid precursor protein in hippocampus of Alzheimer’s disease patients were accessed. We found that matrix metalloproteinase 14 decreased in brain but not in other tissues of streptozotocin-induced diabetic mice, and was negatively correlated with expression of amyloid precursor protein in hippocampus of Alzheimer’s disease patients. These findings suggested matrix metalloproteinase 14 may link insulin-deficient diabetes to Alzheimer’s disease.

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Funding

This work was supported by grants from the Ministry of Science and Technology in Taiwan (MOST105-2632-B-039-002, MOST 104-2320-B-039-009) and grants from China Medical University & Hospital (CMU105-S-39, DMR-101-065, DMR-105-085, CMU98-CT-25). This study is also supported in part by the Brain Diseases Research Center at China Medical University (BDRC 2017), and Taiwan Ministry of Health and Welfare Clinical Trial and Research Center of Excellence (MOHW105-TDU-B-212-133019).

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Conceptualization, J.C and H.-P.L.; Methodology, J.C and H.-P.L.; Investigation, J.C and C.-C. L.; Writing—Original Draft, J.C and C.-C. L.; Writing—Review and Editing, M.-Y.C., W.-Y.L. and H.-P.L.; Funding Acquisition, W.-Y.L. and F.-J.T.; Resources, W.-Y.L. and F.-J.T.; Supervision, F.-J.T.

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Correspondence to Wei-Yong Lin or Fuu-Jen Tsai.

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Jack Cheng and Hsin-Ping Liu are co-first Authors.

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Cheng, J., Liu, HP., Lee, CC. et al. Matrix metalloproteinase 14 modulates diabetes and Alzheimer’s disease cross-talk: a meta-analysis. Neurol Sci 39, 267–274 (2018). https://doi.org/10.1007/s10072-017-3166-4

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