Literature DB >> 28322157

Diabetes-Related Neurological Implications and Pharmacogenomics.

Camilo Andres Rojas-Carranza1, Rosa Helena Bustos-Cruz1, Carmen Juliana Pino-Pinzon1, Yeimy Viviana Ariza-Marquez2, Rosa Margarita Gomez-Bello3, Marisa Canadas-Garre4.   

Abstract

Diabetes mellitus (DM) is the most commonly occurring cause of neuropathy around the world and is beginning to grow in countries where there is a risk of obesity. DM Type II, (T2DM) is a common age-related disease and is a major health concern, particularly in developed countries in Europe where the population is aging. T2DM is a chronic disease which is characterised by hyperglycemia, hyperinsulinemia and insulin resistance, together with the body's inability to use glucose as energy. Such metabolic disorder produces a chronic inflammatory state, as well as changes in lipid metabolism leading to hypertriglyceridemia, thereby producing chronic deterioration of the organs and premature morbidity and mortality. The pathology's effects increase cerebral damage, leading to the rapid onset of neurodegenerative diseases. Hyperglycemia causes oxidative stress in tissues which are susceptible to the complications involved in diabetes, including peripheral nerves. Other additional mechanisms include activation of polyol aldose reductase signalling accompanied by protein kinase C (PKC)-ß activation, poly(ADP ribose) polymerase activation, cyclooxygenase (COX) 2 activation, endothelial dysfunction, altered Na+/K+ ATPase pump function, dyslipidaemia and perturbation of calcium balance. All the forgoing has an impact on neuron activity, mitochondrial function, membrane permeability and endothelial function. These biochemical processes directly affect the neurons and endothelial tissue, thereby accelerating cerebral aging by means of peroxidation of the polyunsaturated fatty acids and thus injuring cell membrane integrity and inducing apoptosis in the glial cells. The Central Nervous System (CNS) includes two types de glial cells: microglia and macroglia (astrocytes, oligodendrocytes and radial cells which include Bergmann cells and Müller cells). Glial cells constitute more than 90% of the CNS cell population. Human studies have shown that some oral antidiabetic drugs can improve cognition in patients suffering mild cognitive impairment (MCI) and dementia [1, 2]. While it is still unclear whether diabetes management will reduce MCI and Alzheimer's disease (AD), incidence, emerging evidence suggests that diabetes therapies may improve cognitive function. This review focuses three aspects: the clinical manifestation of diabetes regarding glial and neuronal cells, the association between neurodegeneration and diabetes and summarises some of the pharmacogenomic data obtained from studies of T2DM treatment, focusing on polymorphisms in genes affecting pharmacokinetics, pharmacodynamics and treatment outcome of the most commonly-prescribed oral anti-diabetic drugs (OADs). Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  Nanotechnology; anti-diabetes drugs; diabetes; hyperglycemia; neurodegenerative diseases; pharmacogenomics.

Mesh:

Year:  2018        PMID: 28322157     DOI: 10.2174/1381612823666170317165350

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  12 in total

1.  Oxidative stress-dependent MMP-13 activity underlies glucose neurotoxicity.

Authors:  Ashley L Waldron; Patricia A Schroder; Kelly L Bourgon; Jessie K Bolduc; James L Miller; Adriana D Pellegrini; Amanda L Dubois; Magdalena Blaszkiewicz; Kristy L Townsend; Sandra Rieger
Journal:  J Diabetes Complications       Date:  2017-12-06       Impact factor: 2.852

2.  Induction of innervation by encapsulated adipocytes with engineered vitamin A metabolism.

Authors:  Qiwen Shen; Rumana Yasmeen; Jessica Marbourg; Lu Xu; Lianbo Yu; Paolo Fadda; Alan Flechtner; L James Lee; Phillip G Popovich; Ouliana Ziouzenkova
Journal:  Transl Res       Date:  2017-10-28       Impact factor: 7.012

Review 3.  Executive Function and Diabetes: A Clinical Neuropsychology Perspective.

Authors:  Qian Zhao; Yonggang Zhang; Xiaoyang Liao; Weiwen Wang
Journal:  Front Psychol       Date:  2020-08-20

4.  A comparative evaluation of cardiac and neurological safety status of two commonly used oral hypoglycaemic agents in T2-DM Swiss albino mice model.

Authors:  Md Ohidur Rahman; Shaheen Ahmed; Tanoy Mazumder; Md Abdus Salam; Prodip Kumar Baral; Md Faruk Rana; Shuvo Mitra; Sayem Hossain; Rubiya Rahman; Md Saddam Hussain
Journal:  Metabol Open       Date:  2022-05-23

5.  The mTOR/NF-κB Pathway Mediates Neuroinflammation and Synaptic Plasticity in Diabetic Encephalopathy.

Authors:  Ting Xu; Jiao Liu; Xin-Rui Li; Yinghua Yu; Xuan Luo; Xian Zheng; Yuan Cheng; Pei-Quan Yu; Yi Liu
Journal:  Mol Neurobiol       Date:  2021-04-15       Impact factor: 5.590

Review 6.  Diabetes and Alzheimer's Disease: Mechanisms and Nutritional Aspects.

Authors:  Hee Jae Lee; Hye In Seo; Hee Yun Cha; Yun Jung Yang; Soo Hyun Kwon; Soo Jin Yang
Journal:  Clin Nutr Res       Date:  2018-10-23

Review 7.  Aldose Reductase: An Emerging Target for Development of Interventions for Diabetic Cardiovascular Complications.

Authors:  Sravya Jannapureddy; Mira Sharma; Gautham Yepuri; Ann Marie Schmidt; Ravichandran Ramasamy
Journal:  Front Endocrinol (Lausanne)       Date:  2021-03-11       Impact factor: 5.555

Review 8.  A Review of Bile Acid Metabolism and Signaling in Cognitive Dysfunction-Related Diseases.

Authors:  Ze-Bin Weng; Yuan-Rong Chen; Jin-Tao Lv; Min-Xin Wang; Zheng-Yuan Chen; Wen Zhou; Xin-Chun Shen; Li-Bin Zhan; Fang Wang
Journal:  Oxid Med Cell Longev       Date:  2022-03-11       Impact factor: 6.543

Review 9.  Corresponding risk factors between cognitive impairment and type 1 diabetes mellitus: A narrative review.

Authors:  Chen-Yang Jin; Shi-Wen Yu; Jun-Ting Yin; Xiao-Ying Yuan; Xu-Gang Wang
Journal:  Heliyon       Date:  2022-08-03

10.  Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records.

Authors:  Jie Xu; Fei Wang; Zhenxing Xu; Prakash Adekkanattu; Pascal Brandt; Guoqian Jiang; Richard C Kiefer; Yuan Luo; Chengsheng Mao; Jennifer A Pacheco; Luke V Rasmussen; Yiye Zhang; Richard Isaacson; Jyotishman Pathak
Journal:  Learn Health Syst       Date:  2020-09-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.