Single-Cell Multi-Omics Uncovers the Role of Microbiota-Derived Metabolites in Shaping the Epigenetic Landscape of Neural Stem Cells during Aging

Authors

  • Mustapha Abdulsalam
  • Ojeba Innocent Musa Department of Microbiology, Skyline University, Nigeria
  • Miracle Uwa Livinus Department of Biochemistry, Skyline University, Nigeria
  • Amosa Sulyman Olayinka Department of Community Medicine, Afe Babalola University, Ado- Ekiti, Nigeria
  • Adewale Opeyemi Ajibola School of Health Sciences, Nubian American Advanced College, Nigeria
  • Maryam Ibrahim Aminu Department of Nursing Science, Skyline University, Nigeria
  • Imam Muzeenat Oyinkansola Department of Medicine and Surgery, Bowen University, Osun State, Nigeria

DOI:

https://doi.org/10.55006/

Keywords:

Epigenetic modulators, Neural stem cells, Gene expression, Single-cell transcriptomics, Epigenomics

Abstract

Aging is a multifactorial process characterized by systemic physiological decline, during which neural stem cells (NSCs) undergo epigenetic reprogramming, contributing to cognitive impairment. Emerging evidence implicates the gut-brain axis in modulating this decline, yet the mechanistic underpinnings remain elusive. Here, we integrate single-cell transcriptomics and epigenomics (scRNA-seq and scATAC-seq) to dissect how microbiota-derived short-chain fatty acids (SCFAs) influence the chromatin accessibility and gene expression patterns of NSCs across age groups in murine models. SCFA supplementation in aged mice restores youthful epigenetic states in a subset of NSCs, promotes neurogenesis-associated transcriptional programs, and reduces senescence signatures. These findings uncover a novel avenue where microbiota metabolites serve as epigenetic modulators of neural aging, offering targets for therapeutic rejuvenation of the aging brain.

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References

1. Coelho P, Fão L, Mota S, Rego AC. Mitochondrial function and dynamics in neural stem cells and neurogenesis: implications for neurodegenerative diseases. Aging Res Rev. 2022;80:101667.

2. De Gioia R, Biella F, Citterio G, Rizzo F, Abati E, Nizzardo M, et al. Neural stem cell transplantation for neurodegenerative diseases. Int J Mol Sci. 2020;21(9):3103.

3. Allegra A, Caserta S, Mirabile G, Gangemi S. Aging and age-related epigenetic drift in the pathogenesis of leukemia and lymphomas: new therapeutic targets. Cells. 2023;12(19):2392.

4. Govarthanan K, Gupta PK, Zipporahe B, Gahtori R, Pandit S, Prasad R. Epigenetic regulation—the guardian of cellular homeostasis and lineage commitment. Biocell. 2021;45(3):501-13.

5. Beerman I, Rossi DJ. Epigenetic control of stem cell potential during homeostasis, aging, and disease. Cell Stem Cell. 2015;16(6):613-25.

6. Cryan JF, O'Riordan KJ, Cowan CSM, Sandhu KV, Bastiaanssen TFS, Boehme M, et al. The microbiota-gut-brain axis. Physiol Rev. 2019;99:1877-2013.

7. Stilling RM, Van De Wouw M, Clarke G, Stanton C, Dinan TG, Cryan JF. The neuropharmacology of butyrate: the bread and butter of the microbiota-gut-brain axis. Neurochem Int. 2016;99:110-32.

8. Saheed YK, Balogun BF, Odunayo BJ, Abdulsalam M. Microarray gene expression data classification via Wilcoxon sign rank sum and novel Grey Wolf optimized ensemble learning models. IEEE ACM Trans Comput Biol Bioinform. 2023;20(6):3575-87.

9. Abdulsalam M, Fatima ZYU, Hasiya UA, Ummulkhuthum AT, Aisha WN, Muhammad FY. Deciphering the genetic code: mechanisms, evolution, and implications for biotechnology. World J Adv Res Rev. 2024;21(1):858-68.

10. Innocent MO, Patrick OI, Job OS, Abdulsalam M, Adams M, Sikirula A, et al. Introduction to nanotoxicology. In: Environmental nanotoxicology: combatting the minute contaminants. Cham: Springer Nature Switzerland; 2024. p. 1-22.

11. Ayyaz A, Kumar S, Sangiorgi B, Ghoshal B, Gosio J, Ouladan S, et al. Single-cell transcriptomes of the regenerating intestine reveal a revival stem cell. Nature. 2019;569(7754):121-5.

12. Hou Y, Xiong D, Jiang T, Song L, Wang Q. Social media addiction: its impact, mediation, and intervention. Cyberpsychol J Psychosoc Res Cyberspace. 2019;13(1).

13. Ma Z, Zhao J, Li Y, Chen D, Wang T, Zhang Z, et al. Mental health problems and correlates among 746 217 college students during the coronavirus disease 2019 outbreak in China. Epidemiol Psychiatr Sci. 2020;29:e181.

14. Liu X, Cui J, Tan X, Yu Y, Niu J, Wang Q. Short-chain fatty acids alleviate perioperative neurocognitive disorders through BDNF/PI3K/Akt pathway in middle-aged rats. Mol Neurobiol. 2025;1-16.

15. Webb AE, Kundaje A, Brunet A. Characterization of the direct targets of FOXO transcription factors throughout evolution. Aging Cell. 2016;15(4):673-85.

16. Fischer A, Sananbenesi F, Wang X, Dobbin M, Tsai LH. Recovery of learning and memory is associated with chromatin remodeling. Nature. 2007;447(7141):178-82.

17. Pal S, Tyler JK. Epigenetics and aging. Sci Adv. 2016;2(7):e1600584.

18. Kalamakis G, Brüne D, Ravichandran S, Bolz J, Fan W, Ziebell F, et al. Quiescence modulates stem cell maintenance and regenerative capacity in the aging brain. Cell. 2019;176(6):1407-19.

19. Zhang H, Ryu D, Wu Y, Gariani K, Wang X, Luan P, et al. NAD+ repletion improves mitochondrial and stem cell function and enhances life span in mice. Science. 2016;352(6292):1436-43.

20. Cheng CW, Biton M, Haber AL, Gunduz N, Eng G, Gaynor LT, et al. Ketone body signaling mediates intestinal stem cell homeostasis and adaptation to diet. Cell. 2019;178(5):1115-31.

21. Gwadabe HA, Elelu SA, Innocent MO, Ibrahim GO, Adekunle IJ, Abdulsalam M. Exploring local-to-global win-win strategies for infectious disease control: enhancing human health and sustainability. Biol Sci. 2025;5(1):850-64.

22. Amelchenko EM, Bezriadnov DV, Chekhov OA, Anokhin KV, Lazutkin AA, Enikolopov G. Age-related decline in cognitive flexibility is associated with the levels of hippocampal neurogenesis. Front Neurosci. 2023;17:1232670.

23. Guo B, Zhang J, Zhang W, Chen F, Liu B. Gut microbiota-derived short-chain fatty acids act as mediators of the gut-brain axis targeting age-related neurodegenerative disorders: a narrative review. Crit Rev Food Sci Nutr. 2025;65(2):265-86.

24. Popov LD. Mitochondrial biogenesis: an update. J Cell Mol Med. 2020;24(9):4892-909.

25. Saheed YK, Abdulganiyu OH, Abdulsalam M, Mustapha M, Olivier MM, Majikumna KU. A hybrid ant colony optimization for Parkinson's disease classification based on synthetic minority oversampling and adaptive synthetic techniques. In: Proceedings of the 2024 5th International Conference on Data Analytics for Business and Industry (ICDABI). IEEE; 2024. p. 16-23.

26. Li X, Li C, Zhang W, Wang Y, Qian P, Huang H. Inflammation and aging: signaling pathways and intervention therapies. Signal Transduct Target Ther. 2023;8(1):239.

27. Ahmed AA, Yusuf UA, Fadlallah ZH, Innocent MO, Abdulsalam M. Developing an omics-driven computational framework for next-generation microbiome therapeutics. Biol Sci. 2024;4(4):1-19.

28. Kelsey G, Stegle O, Reik W. Single-cell epigenomics: recording the past and predicting the future. Science. 2017;358(6359):69-75.

29. Habib N, Avraham-Davidi I, Basu A, Burks T, Shekhar K, Hofree M, et al. Massively parallel single-nucleus RNA-seq with DroNc-seq. Nat Methods. 2017;14(10):955-8.

30. Koh A, De Vadder F, Kovatcheva-Datchary P, Bäckhed F. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell. 2016;165(6):1332-45.

CITATION

Published

14-06-2026

Issue

Section

Research Article

How to Cite

Single-Cell Multi-Omics Uncovers the Role of Microbiota-Derived Metabolites in Shaping the Epigenetic Landscape of Neural Stem Cells during Aging. (2026). Biological Sciences, 6(2). https://doi.org/10.55006/

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