NETWORK TOXICOLOGY–EXPLORATION OF SWEETENER EXPOSURE AND DEPRESSION WITH IN VITRO EXPERIMENTAL VALIDATION

Authors

  • SUJATHA DODOALA Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh-517502, India https://orcid.org/0000-0003-1374-7077
  • LATHA PUJARI Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh-517502, India
  • MADHAVI DUVURU Department of Home Science, Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh-517502, India https://orcid.org/0009-0008-1023-1765
  • SAI SUNEEL ADEM School of Engineering and Technology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh-517502, India https://orcid.org/0000-0002-0989-2522
  • SWETHA PETLU Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh-517502, India https://orcid.org/0009-0007-2540-0894
  • MOHITHA PILLA Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh-517502, India
  • CHANDNA SHRINIVAASINY THATHAPPAGARI Institute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh-517502, India

DOI:

https://doi.org/10.22159/ijap.2026v18i3.57747

Keywords:

Depression, EFSA, Food additives, Network pharmacology, Sweetener, Toxicology

Abstract

Objective: Sweeteners, a category of food additives are increasingly being incorporated into foods, yet their potential neurobiological safety issues remain underexplored. This study investigated the possible link between the european food safety authority (EFSA)-approved sweeteners and depression by integrating network toxicology, molecular docking, and experimental validation, with a particular focus on steviol glycoside.

Methods: Sweeteners collected from EFSA were initially screened using SwissADME and ADMETlab 3.0 for toxicity profiles. The potential targets, protein–protein interactions (PPI), molecular pathways, and binding affinities of the screened compounds were further analyzed using varioussuitable in silico tools (including SwissTargetPrediction, PharmMapper, STRING, shinyGO, cytoscape, cytoHubba,  molecular docking) and in vitro studies.

Results: A total of 31 sweeteners were retrieved from the EFSA database and evaluated for their ADMET characteristics. Among them, 14 compounds were predicted to exhibit toxicological properties. Integration of target prediction data for these compounds with depression-related genes obtained from DisGeNET, GeneCards, Swiss Target Prediction and PharmMapper identified 225 overlapping targets, with network analysis highlighting AKT1, SRC, TP53, ALB, and ESR1 as major hub genes. Functional enrichment analysis using ShinyGO revealed significant associations with neuroactive ligand–receptor interactions, oxidative stress pathways, and mood-related signaling processes. Molecular docking analysis of the top five sweeteners indicated that steviol glycoside displayed the highest affinity and selectivity toward ESR1. Supporting these, differential scanning calorimetry (DSC) and Fourier transform infrared (FT-IR) spectroscopy confirmed steviol-induced conformational alterations in bovine serum albumin. Additionally, biochemical assays demonstrated increased protein carbonylation (p < 0.05), elevated amadori product formation, reduced thiol content, and dose-dependent modulation of monoamine oxidase enzyme.

Conclusion: These findings suggest that certain EFSA-approved sweeteners, especially steviol glycoside, may influence depression-related pathways through modulation of key molecular targets. It also induced oxidative stress and altered activity of monoamine oxidases. These results underscore the need for further mechanistic and in vivo studies to evaluate potential neurobiological risks associated with increased sweetener exposure.

References

1. Pozdnyakova Y, Murzatayeva A. Neuroprotective potential of Stevia rebaudiana and Stachys sieboldii: effects on oxidative stress and locomotor activity in male rats fed a high-fat, high-sucrose diet. Biology (Basel). 2025; 14(4):359. doi: 10.3390/biology14040359.

2. Harismah K, Fazeli F, Amini I, Dai M, Mirzaei M. In silico effects of steviol on depression, inflammation and cancer biomarkers. Biointerface Res Appl Chem. 2022; 12(6):8385–8393. doi : 10.33263/BRIAC126.83858393.

3. Straits Research. Sweeteners market report [Internet]. Available from: https://straitsresearch.com/report/sweeteners-market.

4. Lindseth GN, Coolahan SE, Petros TV, Lindseth PD. Neurobehavioral effects of aspartame consumption. Res Nurs Health. 2014;37(3):185–193. doi: 10.1002/nur.21595

5. EBSCO Research Starters. Sweetener [Internet]. Available from: https://www.ebsco.com/research-starters/health-and-medicine/sweetener.

6. Sardesai VM, Waldshan TH. Natural and synthetic intense sweeteners. J NutrBiochem. 1991;2(5):236–244. doi:10.1016/0955-2863(91)90081-F.

7. Palomar cros A, Straif K, Romaguera D, Aragonés N, Castaño-Vinyals G, Martin V. Consumption of aspartame and other artificial sweeteners and risk of cancer in the Spanish multicase-control study (MCC-Spain). Int J Cancer. 2023; 153(5):979–993. doi: 10.1002/ijc.34577.

8. Zhang Y, Tang Z, Shi Y, Li L. Associations between artificial sweetener intake from cereals, coffee and tea and the risk of type 2 diabetes mellitus: a genetic correlation, mediation and Mendelian randomization analysis. PloS One. 2024; 19(2): e0287496. doi: 10.1371/journal.pone.0287496.

9. López meza MS, Otero ojeda G, Estrada JA, Esquivel hernández FJ, Contreras I. The impact of nutritive and non-nutritive sweeteners on the central nervous system: preliminary study. Nutr Neurosci. 2022;25(8):1623–1632. doi: 10.1080/1028415X.2021.1885239.

10. Xiong J, Wang L, Huang H, Xiong S, Zhang S, Fu Q, Tang R, Zhang Q. Association of sugar consumption with risk of depression and anxiety: a systematic review and meta-analysis. Front Nutr. 2024; 11:1472612. doi:10.3389/fnut.2024.1472612.

11. Elshama SS. Synthetic and natural food additives: Toxicological hazards and health benefits. Journal of Toxicology. 2020 Oct 1; 4(4):555643. doi:10.19080/OAJT.2020.04.555643.

12. Kim S, Thiessen PA, Bolton EE, Chen J, Fu G, Gindulyte A, et al. PubChem substance and compound databases. Nucleic Acids Res. 2016; 44(D1): D1202–D1213. doi: 10.1093/nar/gkv951.

13. Ahmed SR, Al-Sanea MM, Mostafa EM, Qasim S, Abelyan N, Mokhtar FA. A network pharmacology analysis of cytotoxic triterpenes isolated from Euphorbia abyssinica latex supported by drug-likeness and ADMET studies. ACS Omega. 2022; 7(21):17713–17722. doi: 10.1021/acsomega.2c00750.

14. Daina A, Michielin O, Zoete V. SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules. Nucleic Acids Res. 2019 Jul 2; 47(W1): W357–W364. doi:10.1093/nar/gkz382.

15. Tipugade O, Sawale JA, Jadhav N. Network pharmacology and molecular docking based exploration of Rubiaceous plants for breast cancer: phytochemicals, preclinical studies, and regulatory perspectives. Asian J Pharm Clin Res. 2025; 18(7):52–71. doi:10.22159/ajpcr.2025v18i7.54934.

16. Bhosale VB. Network pharmacology and molecular docking based investigation of Calotropis gigantea Linn. Leaf extract against vulvovaginal candidiasis. Asian J Pharm Clin Res. 2025; 18(12):54–66. doi:10.22159/ajpcr.2025v18i12.56803.

17. Adhish M, Madhan B, Manjubala I. Exploring capsaicin as a multi target agent for osteoporosis through computational insights. In Silico Pharmacol. 2025; 13(2):1–26.doi: 10.1007/s40203-025-00400-x.

18. Bibi M, Baboo I, Majeed H, Kumar S, Lackner M. Molecular docking of key compounds from Acacia honey and Nigella sativa oil and experimental validation for colitis treatment in albino mice. Biology (Basel). 2024;13(12):1035. doi: 10.3390/biology13121035.

19. Li Y, Yang JM, Cui WH, Wang JK, Chen X, Zhang C. Prediction of active ingredients and mechanism of Siwei Jianbu decoction in the treatment of atherosclerosis by network pharmacology. Eur Rev Med Pharmacol Sci. 2022; 26(15):5481–5493. doi: 10.26355/eurrev_202208_29412.

20. Giordano D, Biancaniello C, Argenio MA, Facchiano A. Drug design by pharmacophore and virtual screening approach. Pharmaceuticals (Basel). 2022 May 23; 15(5):646. doi: 10.3390/ph15050646.

21. Chaturvedi SK, Ahmad E, Khan JM, Alam P, Ishtikhar M, Khan RH. Elucidating the interaction of limonene with bovine serum albumin: a multi technique approach. Mol Biosyst. 2015; 11(1):307–316.doi: 10.1039/c4mb00548a.

22. Alhazmi HA, Al Bratty M, Meraya AM, Najmi A, Alam MS, Javed SA, Ahsan W. Spectroscopic characterization of the interactions of bovine serum albumin with medicinally important metal ions: platinum (IV), iridium (III) and iron (II). Acta Biochim Pol. 2021; 68(1):99–107.doi: 10.18388/abp.2020_5462.

23. Colombo G, Clerici M, Garavaglia ME, Giustarini D, Rossi R, Milzani A, Dalle-Donne I. A step-by-step protocol for assaying protein carbonylation in biological samples. J ChromatogrB Analyt Technol Biomed Life Sci.2016; 1019:178–190. doi: 10.1016/j.jchromb.2015.11.052.

24. Yan LJ. Analysis of oxidative modification of proteins. Curr Protoc Protein Sci. 2009; 56(1):14.4.1–14.4.28.doi: 10.1002/0471140864.ps1404s56.

25. Emami L, Khodarahimi E, Mardaneh P, Khoshnoud MJ, Rashedinia M. Binding interaction of sodium benzoate, potassium sorbate and sodium dihydrogen citrate with BSA as food preservatives: in vitro analysis and computational studies. Sci Rep. 2024;14(1):29237. doi: 10.1038/s41598-024-80642-5.

26. Huang G, Zhu F, Chen Y, Chen S, Liu Z, Li X, et al. A spectrophotometric assay for monoamine oxidase activity with 2,4-dinitrophenylhydrazine as a derivatized reagent. Anal Biochem. 2016; 512:18–25. doi: 10.1016/j.ab.2016.06.020.

27. Mayank, Jaitak V. Interaction model of steviol glycosides from Stevia rebaudiana (Bertoni) with sweet taste receptors: a computational approach. Phytochemistry. 2015; 116:12–20. doi: 10.1016/j.phytochem.2015.05.006.

28. Raj B, Thomas SM, Varghese S, Priya M, John S, Ramakrishna P, Rasheed A. A mini review on molecular docking studies and pharmacological activities of Stevia rebaudiana. Asian J Chem.2021; 33:2919–2923. doi :10.14233/ajchem.2021.23393.

29. Tabernero A, Granda B, Medina A, Sánchez-Abarca LI, Lavado E, Medina JM.Albumin promotes neuronal survival by increasing the synthesis and release of glutamate. J Neurochem. 2002;81(4):881–891. doi:10.1046/j.1471-4159.2002.00843. x.

30. Rochfort KD, Cummins PM. The blood–brain barrier endothelium: a target for oxidative stress. Free Radic Biol Med. 2014;75: 1–14. doi: 10.1016/j.freeradbiomed.2014.06.030.

31. Dankowska K, Nesterowicz M, Lauko KK. In vitro and in silico studies and a systematic literature review of antiglycation properties of amlodipine. Sci Rep. 2025; 15:33277. doi:10.1038/s41598-025-18925-8.

32. Banks WA, Erickson MA, Abbott NJ. The blood–brain barrier in neuroimmunology. Front Neurosci. 2012; 6:13. doi:10.3389/fnins.2012.00013.

33. Peng X, Yao D, Pan Y, Yu Q, Ni S, Bian H. Study on the structural changes of bovine serum albumin with effects on polydatin binding by a multitechnique approach. Spectrochim Acta A Mol Biomol Spectrosc. 2011 Oct 15;81(1): 209-14.doi: 10.1016/j.saa.2011.06.003.

34. Uzbekov MG. Monoamine oxidase as a potential biomarker of the efficacy of treatment of mental disorders. Biochemistry (Moscow). 2021 Jun; 86(6):773 -83. doi:10.1134/S0006297921060146.

35. Meyer JH, Ginovart N, Boovariwala A. Elevated monoamine oxidase A levels in the brain: an explanation for the monoamine imbalance of major depression. Arch Gen Psychiatry. 2006;63(11):1209–1216. doi:10.1001/archpsyc.63.11.1209.

36. Beucher L, Gabillard-Lefort C, Baris OR, Mialet-Perez J. Monoamine oxidases: a missing link between mitochondria and inflammation in chronic diseases? Redox Biol. 2024 Nov; 77:103393. doi: 10.1016/j.redox.2024.103393.

37. Troubat R, Barone P, Leman S, Desmidt T, Cressant A, Atanasova B, Brizard B, El Hage W, Surget A, Belzung C, Camus V. Neuroinflammation and depression: a review. Eur J Neurosci. 2021 Jan; 53(1):151–171. doi:10.1111/ejn.14720.

Published

26-02-2026

How to Cite

DODOALA, S., PUJARI, L., DUVURU, M., ADEM, S. S., PETLU, S., PILLA, M., & THATHAPPAGARI, C. S. (2026). NETWORK TOXICOLOGY–EXPLORATION OF SWEETENER EXPOSURE AND DEPRESSION WITH IN VITRO EXPERIMENTAL VALIDATION. International Journal of Applied Pharmaceutics, 18(3). https://doi.org/10.22159/ijap.2026v18i3.57747

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