Cognitive Impairment in Nonagenarians: Potential Metabolic Mechanisms Revealed by the Synergy of In Silico Gene Expression Modeling and Pathway Enrichment Analysis
Abstract
:1. Introduction
2. Results
2.1. The Cohort
2.2. TWAS
2.3. Functional Analysis
3. Discussion
4. Materials and Methods
4.1. Participants and Examination Procedures
4.2. Statistical Analysis
4.3. Transcriptome-Wide Association Study (TWAS)
4.4. Functional Analysis
5. Conclusions
6. Limitations
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Marker | OR (CI) | p-Value (Adjusted for Multiple Testing) |
---|---|---|
Glucose, µmol/L | 0.90 (0.77; 1.06) | 1 |
Insulin, μIU/mL | 0.94 (0.91; 0.97) | 0.008956 |
Apolipoprotein A, mg/dL | 0.97 (0.96; 0.98) | 1.91 × 10−14 |
Apolipoprotein B, mg/dL | 0.996 (0.990; 1.003) | 1 |
Total cholesterol, µmol/L | 0.86 (0.74; 0.997) | 0.73916 |
LDL, µmol/L | 1.01 (0.85; 1.2) | 1 |
HDL, µmol/L | 0.22 (0.12; 0.37) | 5.76 × 10−7 |
IGF-1, ng/mL | 0.99 (0.985; 0.995) | 0.000763 |
Cortisol, nmol/L | 1.0003 (0.9995; 1.001) | 1 |
25(OH) D, ng/mL | 0.89 (0.86; 0.93) | 7.74 × 10−7 |
Brain Region | Functional Pathway | p-Value (Adjusted for Multiple Testing) | ||
---|---|---|---|---|
Database | Name | ID | ||
Spinal cord at the level of C1 | KEGG | Other glycan degradation | hsa00511 | 0.041 |
Nucleus accumbens | HALLMARK | HALLMARK_P EROXISOME | HALLMARK_P EROXISOME | 0.038 |
Cerebellum | KEGG | Apoptosis–multiple species | hsa04215 | 0.016 |
Cerebellum | KEGG | Lysine degradation | hsa00310 | 0.016 |
Cerebral cortex | MKEGG | NADH dehydrogenase (ubiquinone) 1 alpha subcomplex | M00146 | 0.047 |
Frontal cortex | MKEGG | NADH dehydrogenase (ubiquinone) 1 alpha subcomplex | M00146 | 0.003 |
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Mamchur, A.; Zelenova, E.; Dzhumaniiazova, I.; Erema, V.; Kashtanova, D.; Ivanov, M.; Bruttan, M.; Gusakova, M.; Terekhov, M.; Yudin, V.; et al. Cognitive Impairment in Nonagenarians: Potential Metabolic Mechanisms Revealed by the Synergy of In Silico Gene Expression Modeling and Pathway Enrichment Analysis. Int. J. Mol. Sci. 2024, 25, 3344. https://doi.org/10.3390/ijms25063344
Mamchur A, Zelenova E, Dzhumaniiazova I, Erema V, Kashtanova D, Ivanov M, Bruttan M, Gusakova M, Terekhov M, Yudin V, et al. Cognitive Impairment in Nonagenarians: Potential Metabolic Mechanisms Revealed by the Synergy of In Silico Gene Expression Modeling and Pathway Enrichment Analysis. International Journal of Molecular Sciences. 2024; 25(6):3344. https://doi.org/10.3390/ijms25063344
Chicago/Turabian StyleMamchur, Aleksandra, Elena Zelenova, Irina Dzhumaniiazova, Veronika Erema, Daria Kashtanova, Mikhail Ivanov, Maria Bruttan, Mariia Gusakova, Mikhail Terekhov, Vladimir Yudin, and et al. 2024. "Cognitive Impairment in Nonagenarians: Potential Metabolic Mechanisms Revealed by the Synergy of In Silico Gene Expression Modeling and Pathway Enrichment Analysis" International Journal of Molecular Sciences 25, no. 6: 3344. https://doi.org/10.3390/ijms25063344