Biological Determinants of Memory Performance In Qur’an Memorizers: Evidence from Cathecol-O-Methyl-Transferase (COMT) Gene Expression And Protein Levels

Rosdianah Rahim, Suryani As’ad, Veni Hadju, Saidah Syamsuddin, Muhammad Hatta, Nadyah Haruna, Syatirah Jalaluddin, Yessy Kurniati

Abstract


Memory performance during adolescence is a key aspect of cognitive development and is strongly influenced by dopaminergic regulation in the prefrontal cortex. Catechol-O-Methyltransferase (COMT) plays a critical role in modulating dopamine availability and cognitive function. This study examined the relationships between age, COMT gene expression, COMT protein levels, and memory performance among adolescents engaged in structured memorization activities. A quantitative cross-sectional design was applied involving male adolescent participants. Memory performance was assessed using a standardized psychometric test, while COMT gene expression and protein levels were measured using reverse transcription quantitative polymerase chain reaction and enzyme-linked immunosorbent assay, respectively. Statistical analyses included descriptive statistics and correlation tests. The results demonstrated a significant negative association between age and memory performance within the adolescent range. In contrast, COMT gene expression and protein levels showed strong positive correlations with memory performance, indicating that higher molecular regulation of dopamine was associated with superior cognitive outcomes. Memorization duration and quantity were not significantly related to memory performance. These findings support dopamine-based models of cognitive regulation and highlight the importance of molecular biomarkers in understanding adolescent memory development. The study contributes to developmental cognitive research by emphasizing biologically informed approaches and provides a foundation for future longitudinal investigations.

Keywords


adolescence; Catechol-O-Methyltransferase; dopamine regulation; gene expression; memory performance

Full Text:

PDF

References


Apa, Z., Gilsoul, J., Dideberg, V., & Collette, F. (2024). Association between executive functions and COMT Val108/158Met polymorphism among healthy younger and older adults: A preliminary study. PLOS ONE, 19(5), e0303343. https://doi.org/10.1371/journal.pone.0303343

Bae, J., Yi, J., Choe, S., Li, Y., & Jung, M. (2025). Cortical VIP neurons as a critical node for dopamine actions. Science Advances, 11(1). https://doi.org/10.1126/sciadv.adn3221

Baum, G., Flournoy, J., Glasser, M., Harms, M., Mair, P., Sanders, A., … Somerville, L. (2022). Graded variation in T1w/T2w ratio during adolescence: Measurement, caveats, and implications for development of cortical myelin. Journal of Neuroscience, 42(29), 5681–5694. https://doi.org/10.1523/jneurosci.2380-21.2022

Corrigan, N., Rokem, A., & Kuhl, P. (2024). COVID-19 lockdown effects on adolescent brain structure suggest accelerated maturation that is more pronounced in females than in males. Proceedings of the National Academy of Sciences, 121(38). https://doi.org/10.1073/pnas.2403200121

Flynn, L., Bouras, N., Migovich, V., Clarin, J., & Gao, W. (2024). The “psychiatric” neuron: The psychic neuron of the cerebral cortex, revisited. Frontiers in Human Neuroscience, 18. https://doi.org/10.3389/fnhum.2024.1356674

Friedman, N., & Robbins, T. (2021). The role of prefrontal cortex in cognitive control and executive function. Neuropsychopharmacology, 47(1), 72–89. https://doi.org/10.1038/s41386-021-01132-0

Gustavsson, J., Papenberg, G., Falahati, F., Laukka, E., & Kalpouzos, G. (2022). Contributions of the catechol-O-methyltransferase Val158Met polymorphism to changes in brain iron across adulthood and their relationships to working memory. Frontiers in Human Neuroscience, 16. https://doi.org/10.3389/fnhum.2022.838228

Islam, K., Meli, N., & Blaess, S. (2021). The development of the mesoprefrontal dopaminergic system in health and disease. Frontiers in Neural Circuits, 15. https://doi.org/10.3389/fncir.2021.746582

Jiang, Y., Jessee, W., Hoyng, S., Borhani, S., Liu, Z., Zhao, X., … Cerel-Suhl, S. (2022). Sharpening working memory with real-time electrophysiological brain signals: Which neurofeedback paradigms work? Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.780817

Khan, R., & Dzulkifli, M. A. (2021). Understanding ?if? and its effect on short-term memory recall performance: An experimental study on high school students in Saudi Arabia. Inspira: Indonesian Journal of Psychological Research, 2(1), 12–21.

Korn, C., Akam, T., Jensen, K., Vagnoni, C., Huber, A., Tunbridge, E., … Walton, M. (2021). Distinct roles for dopamine clearance mechanisms in regulating behavioral flexibility. Molecular Psychiatry, 26(12), 7188–7199. https://doi.org/10.1038/s41380-021-01194-y

Leisman, G., Alfasi, R., & D’Angiulli, A. (2025). Emotional brain development: Neurobiological indicators from fetus through toddlerhood. Brain Sciences, 15(8), 846. https://doi.org/10.3390/brainsci15080846

Louis, C., D’Esposito, M., & Moser, J. (2021). Investigating interactive effects of worry and the catechol-O-methyltransferase gene (COMT) on working memory performance. Cognitive, Affective & Behavioral Neuroscience, 21(6), 1153–1163. https://doi.org/10.3758/s13415-021-00922-9

Managò, F., Scheggia, D., Pontillo, M., Mereu, M., Mastrogiacomo, R., Udayan, G., … Papaleo, F. (2023). Dopaminergic signalling and behavioural alterations by Comt–Dtnbp1 genetic interaction and their clinical relevance. British Journal of Pharmacology, 180(19), 2514–2531. https://doi.org/10.1111/bph.16147

Mendoza, M., Quigley, L., Dunham, T., & Volk, L. (2022). KIBRA regulates AMPA receptor expression, synaptic plasticity, and memory in an age-dependent manner. https://doi.org/10.1101/2022.02.13.480286

Noel, S., Madranges, J., Gothié, J., Ewald, J., Milnerwood, A., Kennedy, T., … Scott, M. (2024). Maternal gastrointestinal nematode infection alters hippocampal neuroimmunity, promotes synaptic plasticity, and improves resistance to direct infection in offspring. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-60865-2

Nouchi, R., Nouchi, H., Dinet, J., & Kawashima, R. (2021). Cognitive training with neurofeedback using NIRS improved cognitive functions in young adults: Evidence from a randomized controlled trial. Brain Sciences, 12(1), 5. https://doi.org/10.3390/brainsci12010005

Pizzonia, K., Suhr, J., Clark, L., & Clark, B. (2023). The relation of ApoE and COMT gene–gene interactions to cognitive and motor function in community-dwelling older adults: A pilot study. Frontiers in Aging Neuroscience, 15. https://doi.org/10.3389/fnagi.2023.1206473

Radosavljevi?, M., Štrac, D., Jan?i?, J., & Samardži?, J. (2023). The role of pharmacogenetics in personalizing the antidepressant and anxiolytic therapy. Genes, 14(5), 1095. https://doi.org/10.3390/genes14051095

Reynolds, L., & Flores, C. (2021). Mesocorticolimbic dopamine pathways across adolescence: Diversity in development. Frontiers in Neural Circuits, 15. https://doi.org/10.3389/fncir.2021.735625

Reynolds, L., Hernández, G., MacGowan, D., Popescu, C., Nouel, D., Cuesta, S., … Flores, C. (2023). Amphetamine disrupts dopamine axon growth in adolescence by a sex-specific mechanism in mice. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-39665-1

Saarikivi, K., Chan, T., Huotilainen, M., Tervaniemi, M., & Putkinen, V. (2023). Enhanced neural mechanisms of set shifting in musically trained adolescents and young adults: Converging fMRI, EEG, and behavioral evidence. Cerebral Cortex, 33(11), 7237–7249. https://doi.org/10.1093/cercor/bhad034

Scher, M. (2021). “The first thousand days” define a fetal/neonatal neurology program. Frontiers in Pediatrics, 9. https://doi.org/10.3389/fped.2021.683138

Sirin, S., Metin, B., & Tarhan, N. (2021). The effect of memorizing the Qur’an on cognitive function. Journal of Neurobehavioral Sciences, 11(1), 22–27.

Sivanandy, P., Leey, T., Xiang, T., Ling, T., Han, S., Semilan, S., … Hong, P. (2021). Systematic review on Parkinson’s disease medications, emphasizing on three recently approved drugs to control Parkinson’s symptoms. International Journal of Environmental Research and Public Health, 19(1), 364. https://doi.org/10.3390/ijerph19010364

Weber, M., Conlon, M., Stutt, H., Wendt, L., Eyck, P., & Narayanan, N. (2022). Quantifying the inverted U: A meta-analysis of prefrontal dopamine, D1 receptors, and working memory. Behavioral Neuroscience, 136(3), 207–218. https://doi.org/10.1037/bne0000512

Yan, Z., & Rein, B. (2021). Mechanisms of synaptic transmission dysregulation in the prefrontal cortex: Pathophysiological implications. Molecular Psychiatry, 27(1), 445–465. https://doi.org/10.1038/s41380-021-01092-3

Yin, L., Han, F., & Wang, Q. (2023). A biophysical model for dopamine modulating working memory through reward system in obsessive–compulsive disorder. Cognitive Neurodynamics, 18(4), 1895–1911. https://doi.org/10.1007/s11571-023-09999-z

Zhu, J., Garin, C., Qi, X., Machado, A., Wang, Z., Hamed, S., … Constantinidis, C. (2024). Brain structure and activity predicting cognitive maturation in adolescence. https://doi.org/10.1101/2024.08.23.608315




DOI: https://doi.org/10.14421/biomedich.2026.151.1373-1380

Refbacks

  • There are currently no refbacks.




Copyright (c) 2026 Rosdianah Rahim, Suryani As’ad, Veni Hadju, Saidah Syamsuddin, Muhammad. Hatta, Nadyah Haruna, Syatirah Jalaluddin, Yessy Kurniati



Biology, Medicine, & Natural Product Chemistry
ISSN 2089-6514 (paper) - ISSN 2540-9328 (online)
Published by Sunan Kalijaga State Islamic University & Society for Indonesian Biodiversity.

CC BY NC
This work is licensed under a CC BY-NC