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de Lourdes Signorini-Souza I, Tureck LV, Batistela MS, Coutinho de Almeida R, Monteiro de Almeida S, Furtado-Alle L, Lehtonen Rodrigues Souza R. The potential of five c-miRNAs as serum biomarkers for Late-Onset Alzheimer's disease diagnosis: miR-10a-5p, miR-29b-2-5p, miR-125a-5p, miR-342-3p, and miR-708-5p. Brain Res 2024; 1841:149090. [PMID: 38880411 DOI: 10.1016/j.brainres.2024.149090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/29/2024] [Accepted: 06/13/2024] [Indexed: 06/18/2024]
Abstract
The nervous system is rich in miRNAs, indicating an important role of these molecules in regulating processes associated with cognition, memory, and others. Therefore, qualitative and quantitative imbalances involving such miRNAs may be involved in dementia contexts, including Late-Onset Alzheimer's Disease (LOAD). To test the viability of circulating miRNAs (c-miRNAs) as biomarkers for LOAD, we proceed accordingly to the following reasoning. The first stage was to discover and identify profile of c-miRNAs by RNA sequencing (RNA-Seq). For this purpose, blood serum samples were used from LOAD patients (n = 5) and cognitively healthy elderly control group (CTRL_CH) (n = 5), all over 70 years old. We identified seven c-miRNAs differentially expressed (p ≤ 0.05) in the serum of LOAD patients compared to CTRL_CH (miR-10a-5p; miR-29b-2-5p; miR-125a-5p; miR-342-3p, miR-708-5p, miR-380-5p and miR-340-3p). Of these, five (p ≤ 0.01) were selected for in silico analysis (miR-10a-5p; miR-29b-2-5p; miR-125a-5p; miR-342-3p, miR-708-5p), for which 44 relevant target genes were found regulated by these c-miRNAs and related to LOAD. Through the analysis of these target genes in databases, it was possible to observe that they have functions related to the development and progress of LOAD, directly or indirectly connecting the different Alzheimer's pathways. Thus, this work found five promising serum c-miRNAs as options for biomarkers contributing to LOAD diagnosis. Our study shows the complex network between these molecules and LOAD, supporting the relevance of studies using c-miRNAs in dementia contexts.
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Affiliation(s)
- Isadora de Lourdes Signorini-Souza
- Postgraduate Program in Genetics. Department of Genetics, Federal University of Paraná (UFPR), Centro Politécnico, Jardim das Américas, 81531-990 Curitiba, Paraná State, Brazil
| | - Luciane Viater Tureck
- Postgraduate Program in Genetics. Department of Genetics, Federal University of Paraná (UFPR), Centro Politécnico, Jardim das Américas, 81531-990 Curitiba, Paraná State, Brazil
| | - Meire Silva Batistela
- Postgraduate Program in Genetics. Department of Genetics, Federal University of Paraná (UFPR), Centro Politécnico, Jardim das Américas, 81531-990 Curitiba, Paraná State, Brazil
| | - Rodrigo Coutinho de Almeida
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, LUMC, Leiden, the Netherlands
| | | | - Lupe Furtado-Alle
- Postgraduate Program in Genetics. Department of Genetics, Federal University of Paraná (UFPR), Centro Politécnico, Jardim das Américas, 81531-990 Curitiba, Paraná State, Brazil
| | - Ricardo Lehtonen Rodrigues Souza
- Postgraduate Program in Genetics. Department of Genetics, Federal University of Paraná (UFPR), Centro Politécnico, Jardim das Américas, 81531-990 Curitiba, Paraná State, Brazil.
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Yang Z, Wang G, Luo N, Tsang CK, Huang L. Consensus clustering of gene expression profiles in peripheral blood of acute ischemic stroke patients. Front Neurol 2022; 13:937501. [PMID: 35989931 PMCID: PMC9388856 DOI: 10.3389/fneur.2022.937501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
Acute ischemic stroke (AIS) is a primary cause of mortality and morbidity worldwide. Currently, no clinically approved immune intervention is available for AIS treatment, partly due to the lack of relevant patient classification based on the peripheral immunity status of patients with AIS. In this study, we adopted the consensus clustering approach to classify patients with AIS into molecular subgroups based on the transcriptomic profiles of peripheral blood, and we identified three distinct AIS molecular subgroups and 8 modules in each subgroup by the weighted gene co-expression network analysis. Remarkably, the pre-ranked gene set enrichment analysis revealed that the co-expression modules with subgroup I-specific signature genes significantly overlapped with the differentially expressed genes in AIS patients with hemorrhagic transformation (HT). With respect to subgroup II, exclusively male patients with decreased proteasome activity were identified. Intriguingly, the majority of subgroup III was composed of female patients who showed a comparatively lower level of AIS-induced immunosuppression (AIIS). In addition, we discovered a non-linear relationship between female age and subgroup-specific gene expression, suggesting a gender- and age-dependent alteration of peripheral immunity. Taken together, our novel AIS classification approach could facilitate immunomodulatory therapies, including the administration of gender-specific therapeutics, and attenuation of the risk of HT and AIIS after ischemic stroke.
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Affiliation(s)
- Zhiyong Yang
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Department of Neurology, The First Clinical Medical School of Jinan University, Guangzhou, China
| | - Guanghui Wang
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Department of Neurology, The First Clinical Medical School of Jinan University, Guangzhou, China
| | - Nan Luo
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Department of Neurology, The First Clinical Medical School of Jinan University, Guangzhou, China
| | - Chi Kwan Tsang
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Li'an Huang
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Department of Neurology, The First Clinical Medical School of Jinan University, Guangzhou, China
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