Novel regulatory SNPs that can be activated due to metformin treatment may orchestrate liver gluconeogenesis and add to the variability in AMPK-dependent mechanisms of metformin response
https://doi.org/10.18699/vjgb-26-29
Abstract
Metformin is a first-line therapy for type 2 diabetes, yet individual response varies significantly, with over 30 % of patients failing to achieve optimal glycemic control. The specific regulatory mechanisms of this phenomenon remain poorly understood and genetic variants involved are mainly undiscovered. There are multiple lines of evidence that the leading role in determining the variance in phenotypic outcome belongs to regulatory SNPs (rSNPs) as they directly modify gene expression. Therefore, the genome-wide search for such functional variants and deciphering associated phenotypes stands as a fundamental challenge. Previously, based on the results of bioinformatics analysis of allele-specific expression and binding landscape in human peripheral blood mononuclear cells, we have established an original panel of 14 796 rSNPs within promotors of 5132 genes. Aiming to pinpoint functional variants most likely linked to metformin hepatic response and impacts on liver gluconeogenesis, we analyzed the relevant open-access data as well as rSNPs from our panel and the corresponding genes. 1196 genes reported to be regulated by metformin in human hepatocytes and 115 genes involved in gluconeogenesis and/or its regulation via Gene Ontology annotations were intersected. Free R software and STRING v.11 tools were used for functional annotation. A number of genes harboring rSNPs within promotor regions were found to be particularly implicated in the mechanisms of metformin’s action. Functional enrichment analyses revealed enrichment in critical pathways including FoxO, TNF-α and TGF-β signaling, also implicated in diabetes complications. Among these, six genes (ARPP19, ATF4, NR3C1, PFKFB3, TCF7L2, and WDR5) were strongly associated with regulation of gluconeogenesis, and may be modulated by metformin in the liver. We conclude that metformin therapy response may be influenced by the newly identified functional SNPs including rSNPs within the promotors of genes for gluconeogenic enzymes and transcription regulators.
Keywords
About the Authors
E. E. KorbolinaRussian Federation
Novosibirsk
I. S. Damarov
Russian Federation
Novosibirsk
T. I. Merkulova
Russian Federation
Novosibirsk
References
1. Ansari Z., Chaurasia A., Neha, Sharma N., Bachheti R.K., Gupta P.C. Exploring inflammatory and fibrotic mechanisms driving diabetic nephropathy progression. Cytokine Growth Factor Rev. 2025;84: 120-134. doi 10.1016/j.cytogfr.2025.05.007
2. Ashburner M., Ball C.A., Blake J.A., Botstein D., Butler H., Cherry J.M., Davis A.P., … Matese J.C., Richardson J.E., Ringwald M., Rubin G.M., Sherlock G. Gene Ontology: tool for the unification of biology. Nat Genet. 2000;25(1):25-29. doi 10.1038/75556
3. Bailey K.A., Savic D., Zielinski M., Park S.-Y., Wang L., Witkowski P., Brady M., Hara M., Bell G.I., Nobrega M.A. Evidence of non-pancreatic beta cell-dependent roles of Tcf7l2 in the regulation of glucose metabolism in mice. Hum Mol Genet. 2015;24(6):1646-1654. doi 10.1093/hmg/ddu577
4. Beaupere C., Liboz A., Fève B., Blondeau B., Guillemain G. Molecular mechanisms of glucocorticoid-induced insulin resistance. Int J Mol Sci. 2021;22(2):623. doi 10.3390/ijms22020623
5. Behl T., Wadhwa M., Sehgal A., Singh S., Sharma N., Bhatia S., AlHarrasi A., Aleya L., Bungau S. Mechanistic insights into the role of FOXO in diabetic retinopathy. Am J Transl Res. 2022;14(6):3584-3602
6. Bu Y., Peng M., Tang X., Xu X., Wu Y., Chen A.F., Yang X. Protective effects of metformin in various cardiovascular diseases: Clinical evidence and AMPK-dependent mechanisms. J Cell Mol Med. 2022;26(19):4886-4903. doi 10.1111/jcmm.17519
7. Chen Y.-C., Navarrete M.S., Wang Y., McClintock N.C., Sakurai R., Wang F., Chen K.T., Chou T.-F., Rehan V.K., Lee D.J., Diaz B. N-myristoyltransferase-1 is necessary for lysosomal degradation and mTORC1 activation in cancer cells. Sci Rep. 2020;10(1):11952. doi 10.1038/s41598-020-68615-w
8. Cook M.N., Girman C.J., Stein P.P., Alexander C.M. Initial monotherapy with either metformin or sulphonylureas often fails to achieve or maintain current glycaemic goals in patients with Type 2 diabetes in UK primary care. Diabet Med. 2007;24(4):350-358. doi 10.1111/j.1464-5491.2007.02078.x
9. Damarov I.S., Korbolina E.E., Rykova E.Y., Merkulova T.I. Multiomics analysis revealed the rSNPs potentially involved in T2DM pathogenic mechanism and metformin response. Int J Mol Sci. 2024;25(17):9297. doi 10.3390/ijms25179297
10. Degtyareva A.O., Antontseva E.V, Merkulova T.I. Regulatory SNPs: altered transcription factor binding sites implicated in complex traits and diseases. Int J Mol Sci. 2021;22(12):6454. doi 10.3390/ijms22126454
11. Dzeja P., Terzic A. Adenylate kinase and AMP signaling networks: metabolic monitoring, signal communication and body energy sensing. Int J Mol Sci. 2009;10(4):1729-1772. doi 10.3390/ijms10041729
12. El-Mir M.-Y., Nogueira V., Fontaine E., Avéret N., Rigoulet M., Leverve X. Dimethylbiguanide inhibits cell respiration via an indirect effect targeted on the respiratory chain complex I. J Biol Chem. 2000;275(1):223-228. doi 10.1074/jbc.275.1.223
13. Gaedigk A., Whirl-Carrillo M., Pratt V.M., Miller N.A., Klein T.E. PharmVar and the landscape of pharmacogenetic resources. Clin Pharmacol Ther. 2020;107(1):43-46. doi 10.1002/cpt.1654
14. GoDARTS and UKPDS Diabetes Pharmacogenetics Study Group; Wellcome Trust Case Control Consortium 2; Zhou K., Bellenguez C., Spencer C.C., Bennett A.J., Coleman R.L., … McCarthy M.I., Holman R.R., Palmer C.N., Donnelly P., Pearson E.R. Common variants near ATM are associated with glycemic response to metformin in type 2 diabetes. Nat Genet. 2011;43(2):117-120. doi 10.1038/ng.735
15. Gong L., Goswami S., Giacomini K.M., Altman R.B., Klein T.E. Metformin pathways. Pharmacogenet Genomics. 2012;22(11):820-827. doi 10.1097/FPC.0b013e3283559b22
16. Guo X., Li X., Yang W., Liao W., Shen J.Z., Ai W., Pan Q., Sun Y., Zhang K., Zhang R., Qiu Y., Dai Q., Zheng H., Guo S. Metformin targets Foxo1 to control glucose homeostasis. Biomolecules. 2021; 11(6):873. doi 10.3390/biom11060873
17. Gwinn D.M., Shaw R.J. AMPK Control of mTOR signaling and growth. In: Tamanoi F., Hall M.N. (Eds). The Enzymes. Vol. 28. Academic Press, 2010;49-75. doi 10.1016/S1874-6047(10)28003-4
18. Hall J.A., Tabata M., Rodgers J.T., Puigserver P. USP7 attenuates hepatic gluconeogenesis through modulation of FoxO1 gene promoter occupancy. Mol Endocrinol. 2014;28(6):912-924. doi 10.1210/me.2013-1420
19. Hou G., Dong Y., Jiang Y., Zhao W., Zhou L., Cao S., Li W. Immune inflammation and metabolic interactions in the pathogenesis of diabetic nephropathy. Front Endocrinol. (Lausanne). 2025;16: 1602594. doi 10.3389/fendo.2025.1602594
20. Hunter R.W., Hughey C.C., Lantier L., Sundelin E.I., Peggie M., Zeqiraj E., Sicheri F., Jessen N., Wasserman D.H., Sakamoto K. Metformin reduces liver glucose production by inhibition of fructose1-6-bisphosphatase. Nat Med. 2018;24(9):1395-1406. doi 10.1038/s41591-018-0159-7
21. Ip W., Shao W., Chiang Y.A., Jin T. The Wnt signaling pathway effector TCF7L2 is upregulated by insulin and represses hepatic gluconeogenesis. Am J Physiol Metab. 2012;303(9):E1166-E1176. doi 10.1152/ajpendo.00249.2012
22. Jiang L., Xiong J., Zhan J., Yuan F., Tang M., Zhang C., Cao Z., … Wang Hui, Wang L., Wang J., Zhu W.-G., Wang Haiying. Ubiquitinspecific peptidase 7 (USP7)-mediated deubiquitination of the histone deacetylase SIRT7 regulates gluconeogenesis. J Biol Chem. 2017; 292(32):13296-13311. doi 10.1074/jbc.M117.780130
23. Kanehisa M. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 2000;28(1):2730. doi 10.1093/nar/28.1.27
24. Karbalaee-Hasani A., Khadive T., Eskandari M., Shahidi S., Mosavi M., Nejadebrahimi Z., Khalkhali L., Sangdari A., Mohammadi D., Soltani A., Khodabandehloo H., Hosseini H., Koushki M. Effect of metformin on circulating levels of inflammatory markers in patients with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials. Ann Pharmacother. 2021;55(9):1096-1109. doi 10.1177/1060028020985303
25. Kristófi R., Eriksson J.W. Metformin as an anti-inflammatory agent: a short review. J Endocrinol. 2021;251(2):R11-R22. doi 10.1530/JOE-21-0194
26. LaMoia T.E., Shulman G.I. Cellular and molecular mechanisms of metformin action. Endocr Rev. 2021;42(1):77-96. doi 10.1210/endrev/bnaa023
27. Li J., Yan H., Xiang R., Yang W., Ye J., Yin R., Yang J., Chi Y. ATP secretion and metabolism in regulating pancreatic beta cell functions and hepatic glycolipid metabolism. Front Physiol. 2022;13:918042. doi 10.3389/fphys.2022.918042
28. Liu G., Chen H., Liu H., Zhang W., Zhou J. Emerging roles of SIRT6 in human diseases and its modulators. Med Res Rev. 2021;41(2): 1089-1137. doi 10.1002/med.21753
29. Loan A., Syal C., Lui M., He L., Wang J. Promising use of metformin in treating neurological disorders: biomarker-guided therapies. Neural Regen Res. 2024;19(5):1045-1055. doi 10.4103/1673-5374.385286
30. Luizon M.R., Eckalbar W.L., Wang Y., Jones S.L., Smith R.P., Laurance M., Lin L., … Molony C., Innocenti F., Yee S.W., Giacomini K.M., Ahituv N. Genomic characterization of metformin hepatic response. PLoS Genet. 2016;12(11):e1006449. doi 10.1371/journal.pgen.1006449
31. Pan Q., Ai W., Guo S. TGF-β1 signaling impairs metformin action on glycemic control. Int J Mol Sci. 2024;25(4):2424. doi 10.3390/ijms25042424
32. Ravnskjaer K., Hogan M.F., Lackey D., Tora L., Dent S.Y.R., Olefsky J., Montminy M. Glucagon regulates gluconeogenesis through KAT2B- and WDR5-mediated epigenetic effects. J Clin Invest. 2013;123(10):4318-4328. doi 10.1172/JCI69035
33. Rena G., Hardie D.G., Pearson E.R. The mechanisms of action of metformin. Diabetologia. 2017;60(9):1577-1585. doi 10.1007/s00125-017-4342-z
34. Rotroff D.M., Yee S.W., Zhou K., Marvel S.W., Shah H.S., Jack J.R., Havener T.M., … Giacomini K.M., Pearson E.R., Wagner M.J., Buse J.B., Motsinger-Reif A.A. Genetic variants in CPA6 and PRPF31 are associated with variation in response to metformin in individuals with type 2 diabetes. Diabetes. 2018;67(7):1428-1440. doi 10.2337/db17-1164
35. Rykova E., Ershov N., Damarov I., Merkulova T. SNPs in 3′UTR miRNA target sequences associated with individual drug susceptibility. Int J Mol Sci. 2022;23(22):13725. doi 10.3390/ijms232213725
36. Smiles W.J., Ovens A.J., Kemp B.E., Galic S., Petersen J., Oakhill J.S. New developments in AMPK and mTORC1 cross-talk. Essays Biochem. 2024;68(3):321-336. doi 10.1042/EBC20240007
37. St-Amour S., Tessier L., Harnois J., Allard C., Lavoie A., Caron P., Bouchard L., Perron P., Tremblay K. PCK1 and SLC22A2 gene variants associated with response to metformin treatment in type 2 diabetes. PLoS One. 2025;20(2):e0305511. doi 10.1371/journal.pone.
38. Strang J., Astridge D., Nguyen V., Reigan P. Small molecule modulators of AMP-Activated Protein Kinase (AMPK) activity and their potential in cancer therapy. J Med Chem. 2025;68(3):2238-2254. doi 10.1021/acs.jmedchem.4c02354
39. Szklarczyk D., Kirsch R., Koutrouli M., Nastou K., Mehryary F., Hachilif R., Gable A.L., Fang T., Doncheva N.T., Pyysalo S., Bork P., Jensen L.J., von Mering C. The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 2023;51(D1): D638-D646. doi 10.1093/nar/gkac1000
40. Vohra M., Sharma A.R., Mallya S., Prabhu N.B., Jayaram P., Nagri S.K., Umakanth S., Rai P.S. Implications of genetic variations, differential gene expression, and allele-specific expression on metformin response in drug-naïve type 2 diabetes. J Endocrinol Invest. 2022;46(6):1205-1218. doi 10.1007/s40618-022-01989-y
41. Wang Y., Liu T., Cai Y., Liu W., Guo J. SIRT6’s function in controlling the metabolism of lipids and glucose in diabetic nephropathy. Front Endocrinol (Lausanne). 2023;14:1244705. doi 10.3389/fendo.2023.1244705
42. Wang Y., Wang X., Du C., Wang Z., Wang J., Zhou N., Wang B., Tan K., Fan Y., Cao P. Glycolysis and beyond in glucose metabolism: exploring pulmonary fibrosis at the metabolic crossroads. Front Endocrinol (Lausanne). 2024;15:1379521. doi 10.3389/fendo.2024.1379521
43. Xiao D., Guo Y., Li X., Yin J.-Y., Zheng W., Qiu X.-W., Xiao L., Liu R.-R., Wang S.-Y., Gong W.-J., Zhou H.-H., Liu Z.-Q. The impacts of SLC22A1 rs594709 and SLC47A1 rs2289669 polymorphisms on metformin therapeutic efficacy in chinese type 2 diabetes patients. Int J Endocrinol. 2016;2016:4350712. doi 10.1155/2016/4350712
44. Yang Q., Huo E., Cai Y., Zhang Z., Dong C., Asara J.M., Wei Q. PFKFB3-mediated glycolysis boosts fibroblast activation and subsequent kidney fibrosis. Cells. 2023;12(16):2081. doi 10.3390/cells12162081
45. Yi Q.-Y., Deng G., Chen N., Bai Z.-S., Yuan J.-S., Wu G.-H., Wang Y.-W., Wu S.-J. Metformin inhibits development of diabetic retinopathy through inducing alternative splicing of VEGF-A. Am J Transl Res. 2016;8(9):3947-3954
46. Yu G., Wang L.-G., Han Y., He Q.-Y. clusterProfiler: an R package for comparing biological themes among gene clusters. Omi A J Integr Biol. 2012;16(5):284-287. doi 10.1089/omi.2011.0118
47. Zhang X., Yang S., Chen J., Su Z. Unraveling the regulation of hepatic gluconeogenesis. Front Endocrinol (Lausanne). 2019;9:802. doi 10.3389/fendo.2018.00802
48. Zhou Y., Ye W., Wang Y., Jiang Z., Meng X., Xiao Q., Zhao Q., Yan J. Genetic variants of OCT1 influence glycemic response to metformin in Han Chinese patients with type-2 diabetes mellitus in Shanghai. Int J Clin Exp Pathol. 2015;8(8):9533-9542
49. Zhu X., Li H., Wu Y., Zhou J., Yang G., Wang W. lncRNA MEG3 promotes hepatic insulin resistance by serving as a competing endogenous RNA of miR-214 to regulate ATF4 expression. Int J Mol Med. 2018;43(1):345-357. doi 10.3892/ijmm.2018.3975
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