Shared peripheral blood biomarkers for Alzheimer’s disease, major depressive disorder, and type 2 diabetes and cognitive risk factor analysis

Geng, Rulin; Liu, Miao; Deng, Shengfeng; Ding, Jingwen; Zhong, Hongfei; Tu, Qiuyun

doi:10.1016/j.heliyon.2023.e14653

Cited by 4 publications

(3 citation statements)

References 92 publications

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“…Although there are broad genetic data available for AD, for genes such as Apolipoprotein E, MPKA and amyloid precursor protein/presenilin-I, the majority of patients typically undergo genetic testing already at the late stages of the disease, where no intervention can prevent the occurrence of the disease and the cognitive dysfunction has already become irreversible. Studies have identified co-expressed genes for AD, type 2 diabetes mellitus (T2DM) and MDD using bioinformatics analysis ( 27-29 ). A total of seven co-deregulated genes, namely structural maintenance of chromosomes 4, cell division cycle 27, hepatocyte nuclear factor 1 homeobox A, RhoD, Cut-like homeobox 1, PDZ and LIM Domain 5 and transthyretin, were considered to have a diagnostic value for AD, T2DM and MDD ( 27 ).…”

Section: Discussionmentioning

confidence: 99%

“…Studies have identified co-expressed genes for AD, type 2 diabetes mellitus (T2DM) and MDD using bioinformatics analysis ( 27-29 ). A total of seven co-deregulated genes, namely structural maintenance of chromosomes 4, cell division cycle 27, hepatocyte nuclear factor 1 homeobox A, RhoD, Cut-like homeobox 1, PDZ and LIM Domain 5 and transthyretin, were considered to have a diagnostic value for AD, T2DM and MDD ( 27 ). Another genomic study previously provided evidence for a significant causal genetic effect of depression on AD using the analysis of single nucleotide polymorphism profiles ( 30 , 31 ).…”

Section: Discussionmentioning

confidence: 99%

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Early depressive manifestations in patients with dementia caused by Alzheimer's disease

Sârbu,

Lungu,

Oprea

et al. 2023

Exp Ther Med

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Previous studies on the complex interplay between depression and dementia in patients with Alzheimer's disease revealed that early-life depression is a risk factor for dementia. Both depression and dementia appear to share common etiopathological mechanisms. In the present study, a comprehensive retrospective analysis was performed on a study group of patients with dementia suffering from previously diagnosed depression. The aim was to assess potentially relevant clinical and imaging parameters that can be used to characterize depression as a risk factor for dementia in later life. Statistically significant data correlating cognitive scores with the moment of depression onset and the length of time period to the diagnosis of dementia were identified. Furthermore, at the moment of depression diagnosis, structural cerebral alterations tended to appear more frequently in women compared with men. However, this sex-associated difference is not maintained after the moment of dementia diagnosis. Results from the present study contributed additional data to the evidence supporting a relationship between a history of depression and the occurrence of Alzheimer's disease, discussing relevant clinical and imaging parameters featured in patients with dementia and their inter-relations.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Early depressive manifestations in patients with dementia caused by Alzheimer's disease

Sârbu,

Lungu,

Oprea

et al. 2023

Exp Ther Med

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“… Shu et al (2022) identified Five hub proteins between AD and T2D. Zhang et al (2023b) identified seven hub genes of co-DEGs between T2DM, MDD, and dementia. Huang C. et al (2022) confirmed through multiple comparisons that CACNA2D3, NUMB, and IER3 simultaneously participate in AD and T2D, and analyzed interacting chemicals, transcription factors, and miRNAs.…”

Section: Identification Of Shared Candidate Biomarkers Between Ad And...mentioning

confidence: 99%

A review and analysis of key biomarkers in Alzheimer’s disease

Zhang,

Liu,

Zhang

et al. 2024

Front. Neurosci.

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Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects over 50 million elderly individuals worldwide. Although the pathogenesis of AD is not fully understood, based on current research, researchers are able to identify potential biomarker genes and proteins that may serve as effective targets against AD. This article aims to present a comprehensive overview of recent advances in AD biomarker identification, with highlights on the use of various algorithms, the exploration of relevant biological processes, and the investigation of shared biomarkers with co-occurring diseases. Additionally, this article includes a statistical analysis of key genes reported in the research literature, and identifies the intersection with AD-related gene sets from databases such as AlzGen, GeneCard, and DisGeNet. For these gene sets, besides enrichment analysis, protein–protein interaction (PPI) networks utilized to identify central genes among the overlapping genes. Enrichment analysis, protein interaction network analysis, and tissue-specific connectedness analysis based on GTEx database performed on multiple groups of overlapping genes. Our work has laid the foundation for a better understanding of the molecular mechanisms of AD and more accurate identification of key AD markers.

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The Relationship between Type II Diabetes and Alzheimer’s Disease

Han

2024

E3S Web of Conf.

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Alzheimer’s disease (AD) currently stands as a prominent focal point in contemporary research, ranking among the top ten causes of death worldwide. At the same time, diabetes has also secured its position as the third most prevalent ailment in developed countries. While more and more people are paying attention to these two diseases, it is worth noting that certain researchers have posited that type 2 diabetes (T2D) has a substantial influence on the development of AD. However, there is still a lack of unified explanation of underlying mechanics framework and extent of its influence remains elusive. This review will explore the risk factors, shared mechanisms, and convergent signaling pathways that contribute to AD and T2D, with an emphasis on the participation of mitochondrial dysfunction, abnormal glucose metabolism, inflammation, oxidative stress and insulin resistance. The relationship between AD and T2D is still unknown. Nonetheless, understanding the common mechanisms and signaling pathways of this harmful interchange between AD and T2D may offer new avenues for identifying potential therapeutic targets and devising effective treatment strategies.

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Shared peripheral blood biomarkers for Alzheimer’s disease, major depressive disorder, and type 2 diabetes and cognitive risk factor analysis

Cited by 4 publications

References 92 publications

Early depressive manifestations in patients with dementia caused by Alzheimer's disease

Early depressive manifestations in patients with dementia caused by Alzheimer's disease

A review and analysis of key biomarkers in Alzheimer’s disease

The Relationship between Type II Diabetes and Alzheimer’s Disease

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