Metabolic and Metabolomic Effects of Metformin in Murine Model of Pulmonary Adenoma Formation

Andrew C Elton, Vannesa Souksavong, Arman A Quraishi, Beverly R Wuertz, Kevin J Murray, Todd W Markowski, Donna E Seabloom, Frank G Ondrey

Research output: Contribution to journalArticlepeer-review


Epidemiologic studies of diabetic patients treated with metformin identified significantly lower incidences of cancer. From this, there is growing interest in the use of metformin to treat and prevent cancer. Studies have investigated chemopreventive mechanisms including alterations in calorie intake, cancer metabolism, and cell signaling. Repurposing the drug is challenging due to its metabolic effects and non-uniform effects on different types of cancer. In our previously published studies, we observed that benzo[a]pyrene treated mice receiving metformin significantly reduced lung adenomas; however, mice had reduced weight gain. In this study, we compared chemoprevention diets with and without metformin to evaluate the effects of diet vs. effects of metformin. We also performed tandem mass spectrometry on mouse serum to assess metabolomic alterations associated with metformin treatment. In metformin cohorts, the rate of weight gain was reduced, but weights did not vary between diets. There was no weight difference between diets without metformin. Interestingly, caloric intake was increased in metformin treated mice. Metabolomic analysis revealed metabolite alterations consistent with metformin treatment. Based on these results, we conclude that previous reductions in lung adenomas may have been occurred from anticancer effects of metformin rather than a potentially toxic effect such as calorie restriction.

Original languageEnglish (US)
Article number36688306
Pages (from-to)1-14
Number of pages14
JournalNutrition and Cancer
Issue number3
StatePublished - Jan 23 2023

Bibliographical note

Funding Information:
was received from Lions 5M Multiple District Hearing Foundation. We would like to acknowledge Art Eschenlauer, PhD for their assistance with the LC-MS/MS data analysis.

Publisher Copyright:
© 2023 Taylor & Francis Group, LLC.

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't


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