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Record W3133510375 · doi:10.1093/cvr/cvab065

Metformin again? Atheroprotection mediated by macrophage AMPK and ATF1

2021· letter· en· W3133510375 on OpenAlexaff
Ian P. Salt, Julia R.C. Nunes, Morgan D. Fullerton

Bibliographic record

VenueCardiovascular Research · 2021
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsUniversity of Ottawa
FundersBiotechnology and Biological Sciences Research Council
KeywordsMetforminAMPKMacrophageMedicineDiabetes mellitusEndocrinologyCell biologyChemistryBiologyProtein kinase ABiochemistryKinase

Abstract

fetched live from OpenAlex

This editorial refers to ‘Metformin directly suppresses atherosclerosis in normoglycemic mice via haematopoietic Adenosine Monophosphate-Activated Protein Kinase (AMPK)’ by A. Seneviratne et al., pp.1295–1308. Metformin is a biguanide that has been used as a frontline treatment for type 2 diabetes (T2DM) over the past 60 years, though its medicinal roots date back to medieval times. While new medications have emerged in recent years, metformin remains the most widely prescribed anti-diabetic drug. Despite this, the molecular mechanisms by which metformin acts remain incompletely understood.1 Twenty years ago, metformin was demonstrated to activate hepatic AMP-activated protein kinase (AMPK),2 a master regulator of energy homeostasis that exerts control over lipid and carbohydrate metabolism. Although metformin-mediated suppression of hepatic glucose production was subsequently shown to be AMPK-independent,3 others reported that AMPK activation underlies metformin-mediated improvements in insulin action by maintaining hepatic lipid homeostasis.4 Given its low cost, well-known tolerance and broad metabolic benefits, there are efforts currently underway to ‘repurpose’ metformin towards conditions, such as cancers, ageing, and cardiovascular disease. Atherosclerosis is characterized by chronic-low-grade inflammation that is driven by hyperlipidaemia and immune-infiltration that results in the formation of lipid-rich plaque in the arterial intima. Atherosclerotic macrovascular disease is a leading cause of mortality in people with T2DM and growing evidence suggests that metformin has a direct anti-atherogenic action that may be independent of its effect on glycaemia.5 AMPK activation in vascular tissues has also been demonstrated to exhibit anti-inflammatory and anti-atherogenic actions.6 Therefore, while potentially not independent, or mutually exclusive of any effect on glycaemia, stimulation of AMPK by metformin may still hold therapeutic promise against atherosclerosis given its role in lipid metabolism and inflammation. In this study, Seneviratne et al.7 sought to add to the limited pre-clinical understanding we have and examine whether metformin treatment had anti-atherogenic actions in normoglycemic but atherogenic mice and whether this potential benefit was AMPK-mediated. Their studies support a novel mechanism by which metformin suppresses atherogenesis by promoting a protective, pro-resolving macrophage M2-like phenotype that overlaps with a [Mhem] phenotype in an AMPK- and activating transcription factor 1 (ATF1)-dependent manner. Their study made use of low-density lipoprotein receptor (Ldlr) knockout (KO) mice fed a regular chow diet to avoid the hyperglycaemia that accompanies Western diet feeding of Ldlr KO mice. A preventative and clinically relevant metformin regime saw a significant reduction in early, macrophage-rich atherosclerotic lesions in these mice without altering glucose or lipid profiles. Given this, the authors focused on the haematopoietic compartment. Transplantation of bone marrow from AMPKβ1-deficient (Prkab1−/−) mice into Ldlr KO recipients abrogated the atheroprotective action of metformin, whereas metformin was still effective in mice transplanted with bone marrow from wild type littermate controls. The same group has previously demonstrated that haeme and metformin increase ATF1 phosphorylation in an AMPK-dependent manner in human blood-derived macrophages, leading to the atheroprotective, [Mhem] phenotype.8 In this study, transcriptional analysis of primary macrophages showed that metformin promoted the expression of atheroprotective genes in an AMPK- and ATF1-dependent manner. These experiments were also extended in human blood macrophages where Mhem-associated atheroprotective genes required the transcriptional activity of ATF1 with metformin treatment. The importance of this pathway was further validated in vivo, where metformin stimulated phosphorylation of AMPK, ATF1 and suppressed markers of inflammation in lesional cells. Finally, in contrast to plaque reduction seen in preventative treatment of early atherosclerosis, metformin treatment of the same mice/model with more established atherosclerosis increased the extent of the layer of vascular smooth muscle cells (VSMCs) between the endothelium and the macrophages. A scheme of the proposed mechanism is shown in Figure 1. Model of attenuated atherogenesis in response to metformin in macrophages. Metformin is transported into macrophages, likely via the organic cation transporter-1, where it is activates AMPK through inhibition of mitochondrial ATP synthesis, leading to activation of AMPK. AMPK phosphorylates and activates ATF1-mediated transcription of genes concerned with reverse cholesterol transport and resolution of inflammation, leading to a phenotype resembling Mhem. In normoglycemic Lldr−/− mice, via haematopoietic AMPK, this subsequently suppresses atherogenesis and may increase stability of established plaques. Created with BioRender.com. Model of attenuated atherogenesis in response to metformin in macrophages. Metformin is transported into macrophages, likely via the organic cation transporter-1, where it is activates AMPK through inhibition of mitochondrial ATP synthesis, leading to activation of AMPK. AMPK phosphorylates and activates ATF1-mediated transcription of genes concerned with reverse cholesterol transport and resolution of inflammation, leading to a phenotype resembling Mhem. In normoglycemic Lldr−/− mice, via haematopoietic AMPK, this subsequently suppresses atherogenesis and may increase stability of established plaques. Created with BioRender.com. This work adds to previous studies that have shown a protective effect of metformin in mice and points to a mechanistic role for haematopoietic AMPK. While there was a clear rationale for the use of chow fed Ldlr KO mice, thereby removing potential influence of hyperglycaemia from the model system, this also removed an important variable and driver of atherogenesis, hyperlipidaemia. There are, however, no mouse models that perfectly model the progression of human atherosclerosis. The beneficial effects of metformin described here should be considered in the context of the earliest stages of atherosclerosis. It is, however, also intriguing that metformin shows evidence of increasing plaque stability in more established atherosclerosis, albeit in a model without the potential for advanced plaque. Although the AMPK- or ATF1-dependence of this was not tested in the study of Seneviratne et al.,9 metformin has been reported to increase indices of plaque stability via mechanisms that require AMPK in VSMCs and several atherosclerosis-prone AMPK KO mouse models have been reported to exhibit more advanced, less stable plaques.6 It will indeed be interesting to test the preventative and therapeutic potential of metformin (and potentially other AMPK activators) in pre-clinical models of more advanced and aggressive atherogenesis. Overall, Seneviratne et al.5 provide evidence for an atheroprotective effect of metformin involving activation of haematopoietic AMPK and ATF1. The significance of this work lies in the translational appeal for people without diabetes. The epidemiological evidence suggesting that metformin use protects against adverse cardiovascular outcomes in people is not overwhelming, yet there is a therapeutic benefit. However, from a translational perspective, the potential that metformin treatment has to initiate anti-inflammatory and atheroprotective gene programmes in monocytes and macrophages of people both with and without diabetes is a testable hypothesis. Do human immune cells experience the same immune programming upon oral metformin administration? How well does this metformin-induced polarization influence plaque macrophage dynamics? While both are important questions, a final consideration may relate to the appropriate therapeutic window. Could metformin be used to prevent atherogenesis in those at risk regardless of whether they have diabetes? Furthermore, given the finding that a clinically relevant dose of metformin shows evidence of increasing plaque stability, does metformin have the potential to stabilize vulnerable plaque in advanced human lesions, while at the same time favourably altering immunometabolism? Metformin is cost effective and has a long-standing reputation for being safe. It is also worth noting that selective AMPK activators are also currently in clinical trials for the treatment of fatty liver disease and T2DM.10,11 There may, therefore, also be the potential for targeting macrophage AMPK directly to prevent atherogenesis or stabilize plaques. Addressing these questions could unravel the full potential of metformin for the treatment and management of cardiovascular disease as well as other disorders with an inflammation component, independent of diabetes. Conflict of interest: none declared. The opinions expressed in this article are not necessarily those of the Editors of Cardiovascular Research or of the European Society of Cardiology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0150.019
Insufficient payload (model declined to judge)0.0040.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.291
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2021
Admission routes1
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