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Molecular Advances in Alzheimer’s Disease 3.0

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Neurobiology".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 1992

Special Issue Editor


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Guest Editor
Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-CSIC, 03550 Sant Joan d’Alacant, Spain
Interests: Alzheimer’s disease; Parkinson’s disease; biomarkers; protein’s deposition; neuroinflammation
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Special Issue Information

Dear Colleagues,

Alzheimer’s disease (AD), the most common cause of dementia among the elderly, is characterized by loss of memory and other cognitive functions. The main neuropathological changes associated with AD include synaptic and neuronal loss, astrogliosis, and protein deposition. Despite these neuropathological hallmarks, emerging data suggest that the disease has a complex aetiology; neuroinflammation, oxidative stress, and mitochondrial dysfunction seem to play an important role in the pathophysiology of mild cognitive impairment and AD, as well as in other neurodegenerative disorders such as Parkinson’s disease. However, the underlying molecular mechanisms associated with these alterations are still elusive. Unfortunately, AD diagnosis occurs at a stage in which the underlying pathology has reached an advanced and possibly irreversible state. Therefore, the major challenges in AD research are to identify biomarkers for early diagnosis and finding therapeutic strategies that prevent the development of the pathology. For that, we need to decipher the cellular and molecular mechanisms that underlie AD and other neurodegenerative diseases, as well as their progression and severity.

This Special Issue will focus on reviews and original data manuscripts that concern (1) the molecular mechanism of Alzheimer’s and other neurodegenerative diseases; (2) molecular targets for new Alzheimer’s biomarkers; (3) the genetics of Alzheimer’s and other neurogenerative diseases; (4) molecular targets for new therapeutic techniques for Alzheimer’s; (5) the molecular mechanism of neuroinflammation in neurodegenerative diseases.

Dr. María-Salud García-Ayllón
Guest Editor

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Keywords

  • molecular targets
  • neurodegenerative diseases
  • Alzheimer’s disease
  • Parkinson’s
  • neuroinflammation

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Published Papers (1 paper)

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Research

21 pages, 1665 KiB  
Article
Exosomal mRNA Signatures as Predictive Biomarkers for Risk and Age of Onset in Alzheimer’s Disease
by Daniel A. Bolívar, María I. Mosquera-Heredia, Oscar M. Vidal, Ernesto Barceló, Ricardo Allegri, Luis C. Morales, Carlos Silvera-Redondo, Mauricio Arcos-Burgos, Pilar Garavito-Galofre and Jorge I. Vélez
Int. J. Mol. Sci. 2024, 25(22), 12293; https://doi.org/10.3390/ijms252212293 - 15 Nov 2024
Cited by 1 | Viewed by 1686
Abstract
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and memory loss. While the precise causes of AD remain unclear, emerging evidence suggests that messenger RNA (mRNA) dysregulation contributes to AD pathology and risk. This study examined exosomal mRNA expression [...] Read more.
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and memory loss. While the precise causes of AD remain unclear, emerging evidence suggests that messenger RNA (mRNA) dysregulation contributes to AD pathology and risk. This study examined exosomal mRNA expression profiles of 15 individuals diagnosed with AD and 15 healthy controls from Barranquilla, Colombia. Utilizing advanced bioinformatics and machine learning (ML) techniques, we identified differentially expressed mRNAs and assessed their predictive power for AD diagnosis and AD age of onset (ADAOO). Our results showed that ENST00000331581 (CADM1) and ENST00000382258 (TNFRSF19) were significantly upregulated in AD patients. Key predictors for AD diagnosis included ENST00000311550 (GABRB3), ENST00000278765 (GGTLC1), ENST00000331581 (CADM1), ENST00000372572 (FOXJ3), and ENST00000636358 (ACY1), achieving > 90% accuracy in both training and testing datasets. For ADAOO, ENST00000340552 (LIMK2) expression correlated with a delay of ~12.6 years, while ENST00000304677 (RNASE6), ENST00000640218 (HNRNPU), ENST00000602017 (PPP5D1), ENST00000224950 (STN1), and ENST00000322088 (PPP2R1A) emerged as the most important predictors. ENST00000304677 (RNASE6) and ENST00000602017 (PPP5D1) showed promising predictive accuracy in unseen data. These findings suggest that mRNA expression profiles may serve as effective biomarkers for AD diagnosis and ADAOO, providing a cost-efficient and minimally invasive tool for early detection and monitoring. Further research is needed to validate these results in larger, diverse cohorts and explore the biological roles of the identified mRNAs in AD pathogenesis. Full article
(This article belongs to the Special Issue Molecular Advances in Alzheimer’s Disease 3.0)
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