HKUMed finds metformin could promote healthy ageing based on genetics

A research team from the School of Public Health, LKS Faculty of Medicine of the University of Hong Kong (HKUMed), provides genetic evidence that metformin might promote healthy ageing using a cohort study of more than 300,000 participants of European descent (UK Biobank). This proof-of-concept work supports further clinical research into the drug repositioning of metformin in healthy longevity. The findings are now published in The Lancet Healthy Longevity, a leading peer-reviewed, international journal in the field of geriatrics and gerontology [link to the publication].

Background
Metformin is a first-line medication for type 2 diabetes. Increasing evidence suggests metformin’s benefits extend far beyond diabetes and may promote healthy ageing. However, earlier observational studies can be biased, whilst clinical trials of metformin in longevity are underway and some genetic studies suggested metformin may have protective effects against other ageing-related diseases such as cancer and Alzheimer’s disease.¹,² To address the role of metformin in healthy longevity, the research team set out to investigate this research question by exploring the target-specific effect of metformin on biomarkers of ageing using genetics (i.e. drug-target Mendelian randomisation) in a large cohort study. Since genetic variants are randomly allocated at conception, this provides a potentially less biased assessment in whether metformin may promote healthy longevity in comparison to conventional pharmacoepidemiologic studies.

Research methods and findings
The study included 321,412 white British participants from the UK Biobank with valid genomic and phenotypic data. The researchers derived ageing metrics of interest, including phenotypic age derived from chronological age and nine clinical markers, and leukocyte telomere length (LTL). To assess the target-specific effect of metformin in biomarkers of ageing, the researchers identified variants in the protein-encoding genes related to metformin using data from the Genotype-Tissue Expression (GTEx) project and UK Biobank, with relevant statistical approaches (i.e. Mendelian randomisation and colocalisation). The researchers also used a conventional observational design to compare biomarkers of ageing by metformin users only with users of other antidiabetic drugs via propensity score matching in UK Biobank.

The research team found that glycated hemoglobin (HbA1c) lowering induced by the metformin target GPD1³ were associated with younger phenotypic age and longer LTL, whilst AMPKγ2 (PRKAG2)⁴ was associated with younger phenotypic age only. Such effects might be in part due to the glycaemic property of metformin. These findings from genetic analyses were corroborated by the propensity score matching analyses.

Significance of the study
Metformin is a highly affordable medicine with a known safety profile and has long been on the WHO Model Lists of Essential Medicines. This drug-target Mendelian randomisation provides genetic evidence that encourages further exploration of this safe and affordable medication to be repurposed for the promotion of healthy ageing. ‘Increasing evidence suggests metformin may also exert its effect via glycaemic-independent pathways. Better understanding of mechanisms of metformin action using big data approaches and different omics is warranted and improve evaluation of its repositioning potential,’ said Dr Luo Shan, Research Assistant Professor, School of Public Health, HKUMed.

The findings may foreshadow results from the TAME (Targeting Ageing with Metformin) trial, the first-ever anti-ageing study approved by the U.S. Food and Drug Administration, to evaluate the role of metformin in longevity, which is in its preparatory stage. ‘Our work has demonstrated the utility of using large-scale epidemiologic studies and genomic data in evaluating drug reposition opportunities. Genetic validation studies, such as this study, shall help improve the success rate of subsequent clinical trials,’ said Dr Ryan Au Yeung Shiu-lun, Assistant Professor, School of Public Health, HKUMed.

About the research team
The study was led by Dr Ryan Au Yeung Shiu-lun, Assistant Professor, and Dr Luo Shan, Research Assistant Professor of the School of Public Health, HKUMed. The research team also included Professor Ian Wong Chi-kei, Lo Shiu Kwan Kan Po Ling Professor in Pharmacy, Head of the Department of Pharmacology and Pharmacy, Director of Centre for Safe Medication Practice and Research, HKUMed, and Lead Scientist of the Laboratory of Data Discovery for Health (D24H); Dr Celine Chui Sze-ling, Assistant Professor of School of Nursing and School of Public Health, HKUMed, and Co-Principal Investigator of D24H; Professor Zheng Jie, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China; Huang Yuan, Director of Technology Transfer of Hong Kong Quantum AI Lab; and Dr Mary Schooling, Honorary Associate Professor and Cluster Leader (Non-communicable Diseases in Global Health), School of Public Health, HKUMed.

Acknowledgements
This study was fully supported by Healthy Longevity Catalyst Award (Hong Kong), the U.S. National Academy of Medicine, and partially funded by HKU Seed Funding for Basic Research. Publication was made possible in part by support from the HKU Libraries Open Access Author Fund sponsored by the HKU Libraries.

About the School of Public Health, HKUMed
The School of Public Health (the School), LKS Faculty of Medicine of the University of Hong Kong has a long and distinguished history in public health education and high-impact research. With world-leading research in infectious diseases as well as on non-communicable diseases of both local and global importance, the School has made significant contributions through its research and advocacy to improve the health of populations and individuals, both locally and globally. The School is a leading research and teaching hub in public health on influenza and other emerging viruses, control of non-communicable and infectious diseases, tobacco control, air pollution, psycho-oncology, behavioural sciences, exercise science, life-course epidemiology, population mental health, health economics, health services planning and management. This work has informed international (e.g. the U.S. Food and Drug Administration, Health Canada, the World Health Organization), national and local public health policies.

About the UK Biobank
UK Biobank is a large-scale biomedical database and research resource containing anonymised genetic, lifestyle and health information from half a million UK participants. UK Biobank’s database, which includes blood samples, heart and brain scans and genetic data of the volunteer participants, is globally accessible to approved researchers who are undertaking health-related research that’s in the public interest.

Media enquiries
Please contact LKS Faculty of Medicine of The University of Hong Kong by email ([email protected]).

¹Luo S, Schooling CM, Wong ICK, Au Yeung SL. Evaluating the impact of AMPK activation, a target of metformin, on risk of cardiovascular diseases and cancer in the UK Biobank: a Mendelian randomisation study. Diabetologia 2020; 63: 2349–58.
²Zheng J, Xu M, Walker V, Yuan J, Korologou-Linden R, Robinson J, Huang P, Burgess S, Au Yeung SL, Luo S, Holmes MV, Smith GD, Ning G, Wang W, Gaunt TR, Bi Y. Evaluating the efficacy and mechanism of metformin targets on reducing Alzheimer’s disease risk in the general population: a Mendelian randomisation study. Diabetologia. 2022; 65: 1664-1675.
³Glycerol-3-phosphate dehydrogenase [NAD(+)], cytoplasmic (GPD1) protein is encoded by GPD1.
⁴AMP-activated protein kinase, gamma-2 subunit (AMPKγ2) is encoded by PRKAG2.