The DOI matches its Crossref record; 121 of the 123 references it cites were found in a registry or an index.
Metformin Alters Upper Small Intestinal Microbiota that Impact a Glucose-SGLT1-Sensing Glucoregulatory Pathway
Open accessAbstract
The gut microbiota alters energy homeostasis. In parallel, metformin regulates upper small intestinal sodium glucose cotransporter-1 (SGLT1), but whether changes of the microbiota or SGLT1-dependent pathways in the upper small intestine mediate metformin action is unknown. Here we report that upper small intestinal glucose sensing triggers an SGLT1-dependent pathway to lower glucose production in rodents. High-fat diet (HFD) feeding reduces glucose sensing and SGLT1 expression in the upper small intestine. Upper small intestinal metformin treatment restores SGLT1 expression and glucose sensing while shifting the upper small intestinal microbiota partly by increasing the abundance of Lactobacillus. Transplantation of upper small intestinal microbiota from metformin-treated HFD rats to the upper small intestine of untreated HFD rats also increases the upper small intestinal abundance of Lactobacillus and glucose sensing via an upregulation of SGLT1 expression. Thus, we demonstrate that metformin alters upper small intestinal microbiota and impacts a glucose-SGLT1-sensing glucoregulatory pathway.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“animal studies revealed that metformin’s glucoregulatory role was an effect of increased Lactobacilli abundance in the upper small intestine, while its anti-inflammatory role was associated with increased abundance of Akkermansia, Bacteroides, Butyricimonas, and Parabacteroides genera”
From Benefits of Metformin in Attenuating the Hallmarks of Aging (2020) · cites this paper as Bauer et al. 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 20,145
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Gentleman R: R: A language for data analysis and graphics
Ihaka, R., & Gentleman, R. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474713 · Cited by 11,747
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873
Role of AMP-Activated Protein Kinase in Mechanism of Metformin Action
Zhou, G., Myers, R., Li, Y., Chen, Y., Shen, X., Fenyk-Melody, J., Wu, M., Ventre, J., Doebber, T., Fujii, N., et al. (2001) · Journal of Clinical Investigation · doi:10.1172/jci13505 · Cited by 5,652
Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity
Everard, A., Belzer, C., Geurts, L., Ouwerkerk, J. P., Druart, C., Bindels, L. B., Guiot, Y., Derrien, M., Muccioli, G. G., Delzenne, N. M., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219451110 · Cited by 4,511
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058
Flagged first, then by citations
2 of the 123 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–200 of 266
Su, C., Li, X., Yang, Y., Du, Y., Zhang, X., Wang, L., & Hong, B. (2021) · Nutrition and Diabetes · doi:10.1038/s41387-021-00169-w · Cited by 32
Chu, S., Zhang, F., Wang, H., Xie, L., Chen, Z., Zeng, W., Zhou, Z., & Hu, F. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.907702 · Cited by 39
Dong, S., Li, W., Li, X., Wang, Z., Zhou, C., Shi, H., He, R., Chen, C., & Zhou, W. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1038650 · Cited by 33
Metformin: From diabetes to cancer to prolongation of life
Sirtori, C. R., Castiglione, S., & Pavanello, C. (2024) · Pharmacological Research · doi:10.1016/j.phrs.2024.107367 · Cited by 38
Targeting the gut microbiota: a new strategy for colorectal cancer treatment
Hu, Y., Zhou, P., Deng, K., Zhou, Y., & Hu, K. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05671-0 · Cited by 32
The gut-cardiovascular connection: new era for cardiovascular therapy
Cheng, C. K., & Huang, Y. (2021) · Medical Review · doi:10.1515/mr-2021-0002 · Cited by 31
Luo, C., Wang, X., Huang, H., Mao, X., Zhou, H., & Liu, Z. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00371 · Cited by 30
Wu, X., Zhao, L., Zhāng, Y., Li, K., & Yang, J. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1166685 · Cited by 29
Mouse model of metformin-induced diarrhea
Takemori, H., Hamamoto, A., Isogawa, K., Ito, M., Takagi, M., Morino, H., Miura, T., Oshida, K., & Shibata, T. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-000898 · Cited by 28
Shao, Y., Evers, S. S., Shin, J. H., Ramakrishnan, S. K., Bozadjieva-Kramer, N., Yao, Q., Shah, Y. M., Sandoval, D. A., & Seeley, R. J. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101432 · Cited by 30
Steinbach, E., Masi, D., Ribeiro, A., Serradas, P., Roy, T. L., & Clément, K. (2023) · Metabolism · doi:10.1016/j.metabol.2023.155712 · Cited by 30
Ding, Q., Tian, J., Li, M., Lian, F., Zhao, L., Wei, X., Han, L., Zheng, Y., Gao, Z., Yang, H., et al. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.530160 · Cited by 28
The Gastrointestinal Tract as Prime Site for Cardiometabolic Protection by Dietary Polyphenols
Villa-Rodríguez, J. A., Ifie, I., González-Aguilar, G. A., & Roopchand, D. E. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz038 · Cited by 27
Prevention and Treatment of Type 2 Diabetes: A Pathophysiological-Based Approach
Samocha‐Bonet, D., Debs, S. R., & Greenfield, J. R. (2018) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2018.03.014 · Cited by 26
Bravard, A., Gérard, C., Defois, C., Benoit, B., Makki, K., Meugnier, E., Rainteau, D. P., Rieusset, J., Godet, M., & Vidal, H. (2021) · Scientific Reports · doi:10.1038/s41598-021-95117-0 · Cited by 28
Vagal pathways for systemic regulation of glucose metabolism
Borgmann, D., & Fenselau, H. (2023) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2023.07.010 · Cited by 27
A novel role for farnesoid X receptor in the bile acid‐mediated intestinal glucose homeostasis
Zhao, L., Xuan, Z., Song, W., Zhang, S., Li, Z., Song, G., Zhu, X., Xie, H., Zheng, S., & Song, P. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15881 · Cited by 26
Zubiaga, L., Briand, O., Auger, F., Touche, V., Hübert, T., Thévenet, J., Marciniak, C., Quenon, A., Bonner, C., Peschard, S., et al. (2019) · iScience · doi:10.1016/j.isci.2023.106057 · Cited by 28
Bica, I.-C., Pietroșel, V.-A., Salmen, T., Diaconu, C.-T., Fierbinteanu-Braticevici, C. G., Stoica, R. A., Suceveanu, A., & Stoian, A. P. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087184 · Cited by 26
Hyperglycemia is associated with duodenal dysbiosis and altered duodenal microenvironment
Darra, A., Singh, V., Jena, A., Popli, P., Nada, R., Gupta, P. C., Bhadada, S. K., Singh, A. K., Sharma, V., Bhattacharya, A., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-37720-x · Cited by 27
Palliyaguru, D. L., Minor, R. K., Mitchell, S. J., Palacios, H. H., Licata, J. J., Ward, T. M., Abulwerdi, G. A., Elliott, P. J., Westphal, C. H., Ellis, J. L., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa148 · Cited by 24
Tang, X., Beukema, M., Ferrari, M. D. L., Walvoort, M. T. C., de Haan, B. J., & de Vos, P. (2023) · Food & Function · doi:10.1039/d3fo01436c · Cited by 21
Huang, W., Huang, G.-P., Zhang, L.-X., da Yu, E., Yang, W.-K., Ye, M., Zou, S., Ni, L., & He, H. (2024) · Phytomedicine · doi:10.1016/j.phymed.2024.156118 · Cited by 22
Li, P., Cai, X., Xiao, N., Ma, X., Zeng, L., Zhang, L., Xie, L., & Du, B. (2020) · Food & Function · doi:10.1039/d0fo01770a · Cited by 23
The impact of sodium-glucose cotransporter inhibitors on gut microbiota: a scoping review
Afşar, B., Afşar, R. E., & Lentine, K. L. (2024) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-024-01435-1 · Cited by 21
Yang, J.-Y., Liu, M., Lv, L. L., Guo, J.-R., He, K.-Y., Zhang, H., Wang, K., Cui, C.-Y., Yan, B., Du, D., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.932294 · Cited by 21
The gastrointestinal tract is a major source of the acute metformin-stimulated rise in GDF15
Kincaid, J. W. R., Rimmington, D., Tadross, J. A., Cimino, I., Zvetkova, I., Kaser, A., Richards, P., Patel, S., O’Rahilly, S., & Coll, A. P. (2024) · Scientific Reports · doi:10.1038/s41598-024-51866-2 · Cited by 20
Rondanelli, M., Borromeo, S., Cavioni, A., Gasparri, C., Gattone, I., Genovese, E., Lazzarotti, A., Minonne, L., Moroni, A., Patelli, Z., et al. (2025) · Metabolites · doi:10.3390/metabo15020127 · Cited by 27
Huang, Q., Yao, F., Zhou, C., Huang, X., Wang, Q., Long, H., & Wu, Q. (2020) · World Journal of Clinical Cases · doi:10.12998/wjcc.v8.i24.6213 · Cited by 21
Sundaram, S., & Borthakur, A. (2021) · Biochemical Journal · doi:10.1042/bcj20200902 · Cited by 21
Oligofructose restores postprandial short‐chain fatty acid levels during high‐fat feeding
Meyer, R. K., Lane, A. I., Weninger, S. N., Martinez, T. M., Kangath, A., Laubitz, D., & Duca, F. A. (2022) · Obesity · doi:10.1002/oby.23456 · Cited by 20
Self-citationMetformin to treat Huntington disease: A pleiotropic drug against a multi-system disorder
Trujillo-Del Río, C., Tortajada-Pérez, J., Gómez-Escribano, A. P., Casterá, F., Peiró, C., Millán, J. M., Herrero, M. J., & Vázquez-Manrique, R. P. (2022) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2022.111670 · Cited by 19
Mitchelson, K. A. J., Tran, T. T. T., Dillon, E., Vlčková, K., Harrison, S. M., Ntemiri, A., Cunningham, K., Gibson, I., Finucane, F. M., O’Connor, E. M., et al. (2022) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202100819 · Cited by 20
Seicaru, E. M., Ilie, I. R. P., Cătinean, A., Craciun, A. M., & Ghervan, C. (2022) · Journal of Gastrointestinal and Liver Diseases · doi:10.15403/jgld-4248 · Cited by 20
Xie, C., Iroga, P. E., Bound, M. J., Grivell, J., Huang, W., Jones, K. L., Horowitz, M., Rayner, C. K., & Wu, T. (2024) · Diabetologia · doi:10.1007/s00125-024-06131-6 · Cited by 23
Pharmabiotic Manipulation of the Microbiota in Gastrointestinal Disorders: A Clinical Perspective
Giron, F., & Quigley, E. M. M. (2018) · Journal of Neurogastroenterology and Motility · doi:10.5056/jnm18004 · Cited by 20
Metabolic regulation by the intestinal metformin-AMPK axis
Zhang, S., & Lam, T. K. T. (2022) · Nature Communications · doi:10.1038/s41467-022-30477-3 · Cited by 18
Self-citationThe development and benefits of metformin in various diseases
Dong, Y., Qi, Y., Jiang, H., Tian, M., Zhang, Y., Peng, C. S., Li, W.-C., Zhang, Y., Zhou, Y., Zang, Y., et al. (2023) · Frontiers of Medicine · doi:10.1007/s11684-023-0998-6 · Cited by 21
Yuan, T., Wang, J., Chen, L., Shan, J., & Di, L. (2018) · Journal of Functional Foods · doi:10.1016/j.jff.2018.11.001 · Cited by 18
The Effect of Theaflavins on the Gut Microbiome and Metabolites in Diabetic Mice
Wang, J., Qin, Y., Jiang, J., Shan, H., Zhao, C., & Li, S. (2023) · Foods · doi:10.3390/foods12203865 · Cited by 18
Li, R. J. W., Barros, D. R., Kuah, R., Lim, Y.-M., Gao, A., Beaudry, J. L., Zhang, S., & Lam, T. K. T. (2024) · Nature Metabolism · doi:10.1038/s42255-023-00942-4 · Cited by 17
Self-citationSatapathy, P., Khan, K., Devi, A. T., Patil, A. G., Govindaraju, A. M., Gopal, S., Prasad, M. N. N., More, V. S., Kakarla, R. R., Raghu, A. V., et al. (2019) · Methods in microbiology · doi:10.1016/bs.mim.2019.02.001 · Cited by 17
Cabello-Olmo, M., Oneca, M., Urtasun, R., Pajares, M. J., Goñi, S., Riezu‐Boj, J. I., Milagro, F. I., Ayo, J., Encı́o, I., Barajas, M., et al. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15041203 · Cited by 16
Luo, Z., Hu, Y.-X., Qiu, C.-W., Chen, W., Li, L., Chen, F., & Liu, C. (2023) · Phytomedicine · doi:10.1016/j.phymed.2023.155115 · Cited by 16
Jin, Z., Cao, Y., Wen, Q., Zhang, H., Fang, Z., Zhao, Q., Xi, Y., Luo, Z., Jiang, H., Zhang, Z., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-51224-2 · Cited by 15
Greco, C. M., Garetto, S., Montellier, E., Liu, Y., Chen, S., Baldi, P., Sassone‐Corsi, P., & Lucci, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-69469-y · Cited by 18
A diet high in FODMAPs as a novel dietary strategy in diabetes?
Chu, N. H. S., Chan, J. C. N., & Chow, E. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.07.036 · Cited by 15
A blast from the past: To tame time with metformin
Xenos, D., Mecocci, P., & Boccardi, V. (2022) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2022.111743 · Cited by 15
Lu, M., & Wang, Z. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-1117-8_9 · Cited by 15
Cherney, D. Z. I., & Lam, T. K. T. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.11.012 · Cited by 17
Self-citationRamos, L. V., da Costa, T. H. M., & Arruda, S. F. (2021) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2021.108881 · Cited by 14
Silamiķele, L., Saksis, R., Silamiķelis, I., Kotoviča, P. P., Brīvība, M., Kalniņa, I., Kalniņa, Z., Frīdmanis, D., & Kloviņš, J. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2188663 · Cited by 15
Metformin in gestational diabetes: physiological actions and clinical applications
Mason, T., Alesi, S., Fernando, M., Vanky, E., Teede, H. J., & Mousa, A. (2024) · Nature Reviews Endocrinology · doi:10.1038/s41574-024-01049-w · Cited by 19
Kang, Z.-Q., Hu, J.-L., Chen, M., Mao, Y., Xie, L.-F., Yang, N., Liu, T., Zhang, W., & Huang, W.-H. (2022) · The American Journal of Chinese Medicine · doi:10.1142/s0192415x22500355 · Cited by 14
Yang, Q., Wang, G., Fang, D., Gao, X., Yu, L., Wang, L., Wu, J., Zeng, M., & Luo, M. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113130 · Cited by 14
Striking a gut–liver balance for the antidiabetic effects of metformin
Barroso, E., Montori-Grau, M., Wahli, W., Palomer, X., & Vázquez‐Carrera, M. (2023) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2023.04.004 · Cited by 14
Cheng, Q., Qi, Y., Feng, R., Yang, M., Zhang, M., Liu, W. Y., Rayner, C. K., & Ma, J. (2020) · European Journal of Nutrition · doi:10.1007/s00394-020-02375-1 · Cited by 14
Metformin Effects on SHIP2, AMPKs and Gut Microbiota: Recent Updates on Pharmacology
Shivaprakash, P., Beeraka, N. M., Madhunapantula, S. V., Nikolenko, V. N., & Basalingappa, K. M. (2024) · Current Medicinal Chemistry · doi:10.2174/0109298673289342240213040144 · Cited by 14
Improvement of Theaflavins on Glucose and Lipid Metabolism in Diabetes Mellitus
Xu, S., Chen, Y., & Gong, Y. (2024) · Foods · doi:10.3390/foods13111763 · Cited by 15
Liang, X., Yan, F., Gao, Y., Xiong, M., Wang, H., Onxayvieng, K., Tang, R., Li, L., Zhang, X., Chi, W., et al. (2020) · Fish Physiology and Biochemistry · doi:10.1007/s10695-020-00770-3 · Cited by 13
Yao, L., Wang, Y., Qin, S., Zhu, S., & Wu, L. (2023) · Communications Biology · doi:10.1038/s42003-023-04475-0 · Cited by 16
Meyer, R. K., Bime, M. A., & Duca, F. A. (2022) · Metabolomics · doi:10.1007/s11306-022-01920-9 · Cited by 12
Self-citationKikuchi, O., Ikeuchi, Y., Kobayashi, M., Tabei, Y., Yokota‐Hashimoto, H., & Kitamura, T. (2024) · Journal of Diabetes Investigation · doi:10.1111/jdi.14249 · Cited by 12
High glucose load and endotoxemia among overweight and obese Arab women with and without diabetes
Aldisi, D. A., Ansari, M. G. A., Sabico, S., Wani, K., Hussain, S. D., El-Shafie, M., McTernan, P. G., & Al‐Daghri, N. M. (2020) · Medicine · doi:10.1097/md.0000000000023211 · Cited by 12
Metformin—mechanisms of its glycemia-reducing effect
Drewe, J., Foretz, M., & Krähenbühl, S. (2025) · Pharmacological Reviews · doi:10.1016/j.pharmr.2025.100106 · Cited by 18
Geng, Y., Wang, Z., Xu, X., Sun, X., Dong, X., Luo, Y., & Sun, X. (2023) · Translational research · doi:10.1016/j.trsl.2023.08.001 · Cited by 13
L. rhamnosus CNCM I-3690 survival, adaptation, and small bowel microbiome impact in human
Zaccaria, E., Klaassen, T., Alleleyn, A. M. E., Boekhorst, J., Chervaux, C., Smokvina, T., Troost, F. J., & Kleerebezem, M. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2244720 · Cited by 11
Shao, R., Liao, X., Wang, W., Lan, Y., Zhang, H., Du, Q., Jiao, L., Yin, Z., Ai, Q., Mai, K., et al. (2023) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2023.109473 · Cited by 11
Microbial metabolic gatekeeping in the jejunum
Kleerebezem, M. (2018) · Nature Microbiology · doi:10.1038/s41564-018-0172-0 · Cited by 11
Choi, J. H., Song, S., Kim, S. K., Cho, J. W., Bae, J. H., Moon, S., Lim, J. H., Lee, Y., Hwang, J., Song, Y., et al. (2026) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2025.0848 · Cited by 11
RETRACTED: Linking gut microbiota to aging process: a new target for anti-aging
Lu, M., & Wang, Z. (2018) · Food Science and Human Wellness · doi:10.1016/j.fshw.2018.04.001 · Cited by 10
RetractedBrīvība, M., Silamiķele, L., Kalniņa, I., Silamiķelis, I., Birzniece, L., Ansone, L., Jagare, L., Elbere, I., & Kloviņš, J. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1232143 · Cited by 12
Petakh, P., Kamyshna, I. I., & Kamyshnyi, O. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1260633 · Cited by 11
Sabarathinam, S., Venkatachalapathy, R., & Jayaraman, A. (2024) · Human Gene · doi:10.1016/j.humgen.2024.201364 · Cited by 8
Bruce, K., Zhang, S., Garrido, A. N., Wang, M. T., Bachor, T. P., Wang, P., Xu, A. W., Yang, Z., & Lam, T. K. T. (2025) · Nature Communications · doi:10.1038/s41467-025-60331-1 · Cited by 9
Self-citationMetformin: Antidiabetic actions from cells to tissues
Bailey, C. J., Gwilt, M., & Brand, K. M. G. (2026) · Metabolism · doi:10.1016/j.metabol.2026.156589 · Cited by 10
Metabolic complications of glucocorticoids – Prevention by metformin
Sanpawithayakul, K., & Korbonits, M. (2023) · Annales d Endocrinologie · doi:10.1016/j.ando.2023.05.002 · Cited by 9
Cheng, M., Jia, X., Ren, L., Chen, S., Wang, W., Wang, J., & Cong, B. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25137250 · Cited by 9
Intestinal NUCB2/nesfatin-1 regulates hepatic glucose production via the MC4R-cAMP-GLP-1 pathway
Geng, S., Yang, S., Tang, X., Xue, S., Li, K., Liu, D., Chen, C., Zhu, Z., Zheng, H., Wang, Y., et al. (2024) · The EMBO Journal · doi:10.1038/s44318-024-00300-4 · Cited by 8
Dong, T. S., Luu, K., Lagishetty, V., Sedighian, F., Woo, S., Dreskin, B. W., Katzka, W. R., Chang, C., Zhou, Y., Arias-Jayo, N., et al. (2021) · Hepatoma Research · doi:10.20517/2394-5079.2021.55 · Cited by 8
Advantages of the use of metformin in patients with impaired uric acid metabolism
Елисеев, М. С., Паневин, Т. С., Zhelyabina, O. V., & Nasonov, E. L. (2021) · Terapevticheskii arkhiv · doi:10.26442/00403660.2021.05.200795 · Cited by 8
Deciphering metformin action in obese mice: A critical re-evaluation of established protocols
Kaplanian, M., Philippe, C., Eid, S. A., Hackl, M. T., Metz, M., Beghini, M., Luca, A. C., Kautzky‐Willer, A., Scherer, T., & Fürnsinn, C. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154956 · Cited by 8
Dietary administration with hydrolyzed silk sericin improves the intestinal health of diabetic rats
Zhou, W., Weng, Y., Liu, Q., Wang, C., Zhang, Y., Zhang, X., & Ye, A. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1074892 · Cited by 8
Park, Y. S., Ahn, K., Yun, K., Jeong, J.-U., Baek, K., Lee, J., Kim, H., Han, K., & Ahn, Y. J. (2023) · Scientific Reports · doi:10.1038/s41598-023-48718-w · Cited by 8
Chen, X., Hou, Y., Liao, A., Pan, L., Yang, S., Liu, Y., Wang, J. J., Xue, Y., Zhang, M., Zhu, Z., et al. (2024) · Biomolecules · doi:10.3390/biom14020186 · Cited by 10
Fu, B., Zhao, X., Khan, M. T., Jiang, Y., Li, W., Mushtaq, M., Danzeng, B., Ni, X., Azeem, Z., Shao, Q., et al. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1523586 · Cited by 7
Štefela, A., Dohnalová, K., Laštůvková, H., Škoda, J., Bajnokova, M., Lestavel, S., Touche, V., Kašpar, M., Kudová, E., Hroch, M., et al. (2025) · Pharmacological Research · doi:10.1016/j.phrs.2025.107950 · Cited by 7
Metformin Alters the Chemotaxis and Flagellar Motility of Escherichia coli
Ye, Y., Jiang, P., Huang, C., Li, J., Chen, J., Wang, L., Lin, Y., Wang, F., & Liu, J. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.792406 · Cited by 9
Zhang, J., Ma, X., Li, Y., Liu, R., Li, Y., Zhang, P., Ren, W., Cui, P., Wang, B., Zhang, M., et al. (2020) · Maturitas · doi:10.1016/j.maturitas.2020.04.010 · Cited by 7
Grindheim, S., Ebbing, C., Karlsen, H. O., Skulstad, S. M., Real, F. G., Lønnebotn, M., Løvvik, T. S., Vanky, E., & Kessler, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262987 · Cited by 7
Yoshida, N., Saito, Y., Tsujimoto, Y., Taito, S., Banno, M., Kataoka, Y., Yamashita, T., & Hirata, K. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-1007a · Cited by 7
The Enteric Neuronal Circuitry: A Key Ignored Player in Nutrient Sensing Along the Gut–Brain Axis
Nikolla, E., Grandberry, A., Jamerson, D., Flynn, C. R., & Sundaresan, S. (2025) · The FASEB Journal · doi:10.1096/fj.202500220rr · Cited by 6
de Macedo, J. C. C., Guadagnini, D., Assalin, H. B., Oliveira, E. S., Magro, D. O., Alborghetti, M. R., Sforça, M. L., Rocco, S. A., Santos, A., & Saad, M. J. A. (2025) · Scientific Reports · doi:10.1038/s41598-025-12990-9 · Cited by 8
Jalleh, R. J., Wu, T., Umapathysivam, M. M., Young, R. L., Jones, K. L., Marathe, C. S., Rayner, C. K., Plummer, M. P., & Horowitz, M. (2026) · Physiological Reviews · doi:10.1152/physrev.00009.2025 · Cited by 6
Zhang, Y., Wei, X., Sun, Q., Qian, W., Liu, X., Li, J., Long, Y., & Wan, X. (2021) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.1c04291 · Cited by 6
Targeting Bile Acid-Activated Receptors in Bariatric Surgery
Ding, L., Fang, Z., Liu, Y., Zhang, E., Huang, T., Yang, L., Wang, Z., & Huang, W. (2019) · Handbook of experimental pharmacology · doi:10.1007/164_2019_229 · Cited by 6
Jiang, P., Ye, Y., Liu, J., & Wang, F. (2023) · Journal of Basic Microbiology · doi:10.1002/jobm.202200716 · Cited by 6
Abouelkheir, M. M., Taher, I., Eladl, A., Shabaan, D. A., Soliman, M. F. M., & Taha, A. E. (2023) · Pharmaceuticals · doi:10.3390/ph16050658 · Cited by 5
Modern aspects for preventive therapy of type 2 diabetes mellitus
Салухов, В. В., & Romashevskiĭ, B. V. (2019) · Meditsinskiy sovet = Medical Council · doi:10.21518/2079-701x-2019-4-6-13 · Cited by 5
Nutrient infusion in the dorsal vagal complex controls hepatic lipid and glucose metabolism in rats
Li, R. J. W., Batchuluun, B., Zhang, S., Abraham, M. A., Wang, B., Lim, Y.-M., Yue, J. T. Y., & Lam, T. K. T. (2021) · iScience · doi:10.1016/j.isci.2021.102366 · Cited by 7
Self-citation
Metadata
- Authors
- Bauer, P. V., Duca, F. A., Waise, T. M. Z., Rasmussen, B. A., Abraham, M. A., Dranse, H. J., Puri, A., O’Brien, C. A., & Lam, T. K. T.
- Affiliations
- University Health Network (CA)
- Corresponding author
- Lam, Tony K.T.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 27
- Issue
- 1
- Pages
- 101-117.e5
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2765695466
- Cited by
- 265
- References
- 123
- Citations by year
- 2026: 15 · 2025: 23 · 2024: 27 · 2023: 47 · 2022: 36 · 2021: 37 · 2020: 31 · 2019: 25 · 2018: 22
- FWCI
- 8.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research (FDN-143204)
- Banting and Best Diabetes Centre, University of Toronto
- Diabetes Canada
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- metformin, gut microbiota, upper small intestine, SGLT1, glucose detection, glucoregulation, glucose production, high-fat diet, Lactobacillus, microbiota transplantation, energy homeostasis
- MeSH terms
- Glucagon-Like Peptide-1 Receptor, Gastrointestinal Microbiome, Animals, Feeding Behavior, Glucose, Intestine, Small, Metformin, Principal Component Analysis, Sodium-Glucose Transporter 1, Rats, Glucagon-Like Peptide 1, Diet, High-Fat
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review