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Structural basis of mammalian respiratory complex I inhibition by medicinal biguanides

Hannah R. Bridges, James N. Blaza, Zhan Yin and 3 more

Science · 2023

doi:10.1126/science.ade3332

Abstract

The molecular mode of action of biguanides, including the drug metformin, which is widely used in the treatment of diabetes, is incompletely characterized. Here, we define the inhibitory drug-target interaction(s) of a model biguanide with mammalian respiratory complex I by combining cryo–electron microscopy and enzyme kinetics. We interpret these data to explain the selectivity of biguanide binding to different enzyme states. The primary inhibitory site is in an amphipathic region of the quinone-binding channel, and an additional binding site is in a pocket on the intermembrane-space side of the enzyme. An independent local chaotropic interaction, not previously described for any drug, displaces a portion of a key helix in the membrane domain. Our data provide a structural basis for biguanide action and enable the rational design of medicinal biguanides.

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From PubMed Central, U.S. National Library of Medicine, as current on Oct 26, 2026. Paragraph numbers are ours, so an answer can point at one.

The biguanide metformin is central to the treatment of millions of type-2 diabetes patients worldwide and has been studied intensely in recent years for treatment of other conditions, including ischemia-reperfusion injury, fibrosis, viral infections and cancer. Optimization of biguanides for novel indications has been hindered by incomplete understanding of their molecular pharmacology and although preclinical evidence for the antineoplastic action of metformin was sufficient to justify dozens of clinical trials, the results have been disappointing. Biguanides have been reported to target many cellular proteins including mitochondrial glycerophosphate dehydrogenase (mGPD), presenilin enhancer 2, F1Fo ATP synthase, cytochrome c oxidase, and the chloride intracellular channel 1. Notably, several studies have described biguanide inhibition of mitochondrial respiratory complex I (protontranslocating NADH:ubiquinone oxidoreductase), supporting a mode of biguanide action in which decreased production of ATP from oxidative phosphorylation triggers the activation of AMP kinase and inhibition of adenylate cyclase, leading to beneficial downstream effects on gluconeogenic enzymes (in diabetes) and mTOR (in cancer and antiviral treatments).

Complex I is a 1 MDa multi-protein assembly that is central to mitochondrial and cellular metabolism. It oxidizes the NADH produced by oxidation of carbohydrates and lipids to maintain the redox state of the mitochondrial NAD+ pool, reduces ubiquinone-10 to drive the respiratory chain and oxygen consumption, and pumps protons out of the mitochondrial matrix. This proton pumping contributes to the proton-motive force that drives ATP synthesis through oxidative phosphorylation. Cryo-electron microscopy (cryo-EM) studies of complex I have revolutionized our understanding of its structure, mechanism and regulation, informing on redox catalysis in the hydrophilic domain, proton translocation across the membrane, and possible mechanisms of coupling between ubiquinone-10 reduction and proton translocation. Furthermore, cryo-EM has discriminated different resting states of the enzyme based on domain-level reorientations linked to altered conformational states of the quinone-binding channel (Q-channel): the ‘active’ state, with a structurally ordered, turnover-ready Q-channel, and the pronounced ‘deactive’ state, with a locally disordered Q-channel that requires restructuring and reactivation for catalysis. Biguanides bind with an unusual preference to the deactive state of the enzyme, but their binding site(s) and modes of interaction are unknown: they are expected to bind in a site downstream of the Fe-S clusters but do not inhibit in a simple competitive manner. Their interaction site is expected to be amphipathic on the basis of the biguanide positive charge and a strong correlation between inhibitory potency/cytotoxicity and hydrophobicity.

Here we use cryo-EM to reveal the molecular interactions of biguanides with mammalian respiratory complex I, defining how they inhibit catalysis. We identify distinctive binding modes and rationalize biguanide protein-state selectivity to enable future implementation of structure-based drug design in the development of biguanide-based therapies for diverse applications.

IM1761092 as a model biguanide for structural studies

The antidiabetic biguanides metformin and phenformin are relatively weak inhibitors of complex I, with simple molecular shapes. We sought to avoid technical risks in cryo-EM (excessive adventitious binding and reduced image contrast) from using these compounds in high mM concentrations by identifying a stronger-binding derivative, which would also exhibit a more distinctive cryo-EM density. For structural investigation of the complex I binding site(s) of biguanides, we therefore assessed IM1761092 (hereafter IM1092), a more hydrophobic (logP 2.37) derivative of the metformin-related antidiabetic biguanide phenformin (logP 0.34) that contains a 3-chloro-4-iodo-phenyl ring (Fig. 1A & S1). IM1092 inhibits cellular oxygen consumption (Fig S1D) and exhibits a stronger inhibition of complex I catalysis in bovine heart mitochondrial membranes than phenformin and metformin (membrane IC50 more than 10 and 2,000 times lower, respectively, depending on the conditions, Fig. 1B & C). Its behavior is thus consistent with the reported correlation between biguanide inhibitory potency (IC50) and hydrophobicity (logP).

Mammalian mitochondrial membranes ‘as-prepared’ contain a mixture of active and deactive complex I. In the deactive state, an important structural feature of the Q-channel, the loop between TMH1 and 2 in subunit ND3 (ND3 TMH1-2 loop) that carries Cys39 is disordered, but in the active state, it is ordered and Cys39 is buried. The two states can be discriminated biochemically by their sensitivity to N-ethyl maleimide (NEM), which derivatizes ND3-Cys39 in the deactive state, preventing catalysis, but leaves the active state unaffected. We found biguanide inhibition depends on the amount of the deactive state present in membranes (Fig. 1B). ‘As-prepared’ membranes incubated with both 200 μM IM1092 (10 x IC50) and NEM at 4 °C exhibited essentially the same deactive content as biguanide-free controls (Fig. S2A), indicating that biguanides do not shift the deactive/active population equilibrium in this condition. Furthermore, biguanide inhibition is stronger at higher pH (Fig. 1C). As biguanides (pKa ~11) remain singly protonated at all pHs tested, the pH dependence likely arises from changes in the protein, such as in local charges on residue sidechains or phospholipid headgroups, or conformational changes. Having established that IM1092 inhibits cellular oxygen consumption, and shares the same unique selectivity for inhibiting catalysis by binding to the deactive state of complex I that is observed for antidiabetic biguanides, as well as the same pH-dependent mode of action, we proceeded with this tighter-binding synthetic biguanide as a representative model compound for structural studies for the technical reasons outlined above.

To inform on the selectivity of biguanides for different states, IM1092 was added to the mixed population of states in the purified resting enzyme, without purposeful deactivation, for cryo-EM. No substrates were added because inhibition is weaker when biguanides are added during catalysis, rather than before. IM1092 has an IC50 value of 86 μM for catalysis of detergent-solubilized, purified bovine complex I (Fig. S2B) and cryo-EM grid conditions with 350 μM IM1092 were chosen to maximize binding within the limits of pH and biguanide-induced protein aggregation at high concentrations (Fig. S2). When purified complex I (Fig. S3) was incubated in the same conditions as for cryo-EM grid preparation then diluted into inhibitor-free assay buffer, 98% of the control catalytic rate was recovered (Fig. S2F), demonstrating full reversibility of inhibition under this condition.

Overview of cryo-EM particle populations

17,203 micrographs collected from a single cryo-EM grid yielded 598,287 good particles, which refined to an estimated global resolution of 2.1 Å (Fig. S4), but with such a high degree of heterogeneity that it was not possible to model parts of the map. Subsequent global classification yielded three major classes resembling the active and deactive states mentioned above and a state called slack (see Supplementary Text), which is of unknown functional relevance but has been described previously in cryo-EM studies of bovine complex I. Inhibitor-free reference maps of bovine complex I from separate inhibitor-free preparations in detergent (Fig. S5 & S6 and EMD-3731) were used for comparison to identify and evaluate novel features found in the maps with IM1092 present. Three regions of interest are: i) densities occupying the Q-channel; ii) unusually poor density in a portion of the C-terminal lateral helix in subunit ND5 and the adjacent subunit NDUFB4; and iii) altered density at the expected position of the NDUFC2 subunit N-terminus. Different classification strategies were tested to disentangle the different states and IM1092 interactions, leading to implementation of a ‘local-first’ classification regime (see Supplementary Text) used in two separate schemes to describe 12 distinct classes (Table 1, Figs. S7, S8 and S9).

Biguanide-binding site 1: ubiquinone-binding channel

Density was observed in the Q-channel, close to its entrance from the membrane, in all three major classes. Using local-first classification (Fig. S7), the particles were separated into one active class (Active-1092-i, Fig. S10), three deactive classes (Deactive-1092-i, ii and iii, Figs. S11-13), and two slack classes (Slack-1092-i and ii, Figs. S14-15 and Table 1). The major classes were assigned by global comparisons to reference maps and key local features (Table S1 and Supplementary Text). Densities for IM1092 in the Q-channel are clear in the Deactive-1092-i, ii and iii and Slack-1092-ii maps (Fig. 2C, D, E, H, S16 and S17) and the cross-correlation fits (C-Cmask) for the fit of the IM1092 molecule into its density were high (0.66-0.72) (Table 1). In Slack-1092-i, while the density is consistent for the chloro-iodo-phenyl moiety, the biguanide moiety of the putative IM1092 molecule was insufficiently resolved to confidently model its orientation (Fig. 2G). The density in the Active-1092-i map occupies a similar position to the densities observed in the other classes (Fig. 2F), but a smaller additional density feature is also observed further into the Q-channel so that, together, they resemble density observed in the Q-channel of the active-apo (inhibitor-free) class of bovine complex I in nanodiscs (EMD-14133). With an IM1092 molecule refined in different orientations into the density in the Active-1092-i map near the Q-channel entrance, C-Cmask values are low (< 0.5) and the shape of the density was visibly a poor fit; the second density was too small and featureless to ascertain its origin and the identity of these two densities remain unconfirmed. Overall, ~45-60% of the total population, and ~56-75 % of the [deactive and slack] population presents clear evidence of IM1092 occupying the Q-channel.

In the deactive and slack states, IM1092 binds in an amphipathic site straddling two zones of the Q-channel: the hydrophobic region next to the exit (Fig. 2A) and the charged central region of the channel. The chloro-iodo-phenyl group of IM1092 points towards the channel exit (Fig. 2A), forming weak halogen bonds from the Cl to the ND1-Pro48 carbonyl and from the I to the sulfur of ND1-Met225, as well as van der Waals interactions with ND1-Phe224, ND1-Phe220, ND1-Leu55 and NDUFS7-Trp46. We note that the halogen bonds are specific to IM1092, relative to phenformin, likely contributing to its higher binding affinity, and that metformin, lacking the phenyl ring, is not stabilised by the above interactions, or by p-stacking to ND1-Phe224, consistent with its much lower binding affinity. The biguanide moiety faces into the channel, towards the charged region, and adopts a range of different orientations (Fig. 2 C, D, E, H). In the Deactive-1092-i and Slack-1092-ii states it forms a cation-π interaction with NDUFS7-Trp46, and in the Deactive-1092-i state a weak ionic interaction with the ND1-Glu24 carboxyl also. In the Deactive-1092-ii and -iii states its orientation brings it closer to ND1-Glu24, and it forms a hydrogen bond with the ND1-Tyr228 hydroxyl. In each state with modelled biguanide, the experimental IM1092 map density at higher thresholds is consistent with a mixture of inhibitor binding poses.

Importantly, the conformation of the biguanide-binding region of the Q-channel differs between the three major states, regardless of whether an inhibitor is bound or not (Fig. 2B). Notably, NDUFS7-Arg77 swings in an arc from its position in the active state, with its sidechain pointing towards the Q-channel exit, to point approximately towards cluster N2 in the deactive state, adopting an intermediate position in the slack state (Fig. 2B). The NDUFS7-Arg77 guanidinium is ~7 Å (slack) and 10-14 Å (deactive) away from the bound biguanide (N-N distance), but only ~4 Å away when IM1092 is refined into the density in the Active-1092-i map in the same orientation, indicating that repulsion between their positive charges may disfavor biguanide binding in the active state.

Available PDB models for mammalian, fungal, bacterial and plant complexes I were compared to assess the conservation of key residues interacting with the biguanide moiety; NDUFS7-Trp46, ND1-Glu24, ND1-Tyr228 and NDUFS7-Arg77 are conserved in all species surveyed. The only high-quality reported human mutation in these residues in the ClinVar database is the ND1-E24K mutation associated with LHON/MELAS overlap syndrome. Human mutations of the residues involved in the biguanide binding site are therefore very rare, consistent with their important role in enzyme function. Due to their being mitochondrial encoded and/or essential for function, these residues cannot easily be artificially mutated in a mammalian system. Methods for mutating mitochondrial DNA are advancing, but site specificity and the efficiency of reaching homoplasmic edits remain challenging.

Biguanide interaction site 2: ND5 lateral helix / NDUFB4 interface

Transmembrane subunit ND5 contains an unusual long helix that runs laterally alongside ND4 and ND2, which has been proposed to either stabilize the proton-pumping modules, or act as a transmissive element in proton pumping. Substantial evidence of disorder at the ND5 lateral helix / subunit NDUFB4 interface was observed in preliminary maps, so the dataset was subject to a separate local-first classification focusing on this region (Figs. S8 and S18). The strategy yielded three major classes: one with a typical well-ordered ND5 lateral helix and NDUFB4, and two with distortion or disordering of ND5 residues 547-564 and nearby NDUFB4 residues 77-92. The classes were further separated into Active-1092-ii, iii and iv (Figs. S19-21), Deactive-1092-iv, v and vi (Figs. S22-24, Table 1), plus three slack classes, which all displayed poor density for the downstream ND5 lateral helix and were not further investigated. Overall, ~65% of the protein population was perturbed in this region, with similar proportions observed for active, deactive and slack (~52, ~66 and ~58%, respectively). Deactive classes with a disrupted helix exhibit a small ‘opening’ of the angles between the membrane and hydrophilic domains, and distal and proximal membrane domains, compared to their better ordered equivalents (Fig. S25, Supplementary Text).

This interesting region of the usually well-ordered ND5 lateral helix does not form a perfect α-helix even in inhibitor-free active or deactive mammalian enzyme structures. The Active-1092-ii and Deactive-1092-iv models match the well-ordered inhibitor-free active model in this region. Two π-bulges (Fig. S18) are stabilized by interactions between the lateral helix and nearby waters, and ionic and hydrogen bonding to ND4 (Fig. 3A right).

In Active-1092-iii and Deactive-1092-v (referred to as displaced), a short portion of the ND5 lateral helix is altered: Lys547 to Ser550 are disordered, and an interruption of the helical structure at Leu562 to Pro563 allows a short stretch of helix (residues 550 to 559) to move outwards, away from the complex, and laterally, along the membrane plane (Figs. 3 and S18). A loop in NDUFB4 at residues 78-83, which usually wraps around the lateral helix, becomes disordered from Pro77 to Leu91. In Active-1092-iv and Deactive-1092-vi (referred to as disordered), the whole ND5 region from Lys547 to Lys564 appears disordered, along with the NDUFB4 loop described above (Figs. 3D & S18). Although not observed in the detergent solubilized protein, the bovine enzyme in nanodiscs contains two phospholipids near to the distorted region. There are no density features that can be interpreted as a tightly bound biguanide nearby. Considering the positive charge on IM1092, it may interact with ND5-Asp554 and/or Glu559, thereby disrupting hydrogen bonding from the lateral helix to subunit ND4, or interact with nearby stabilizing phospholipids. Generally, π-bulges are energetically unfavorable elements, requiring stabilization by hydrogen bonding to polar sidechains or water molecules. The strained nature of this region may make it particularly prone to destabilization by guanidium-like biguanides. No mutations of Asp554 or Glu559 are observed in the ClinVar database, and acidic residues in these positions are conserved in current mammalian and plant structures, suggesting their important role in stabilizing the membrane domain.

Biguanide-binding site 3: ND2/NDUFB5/NDUFA11

Density matching IM1092 was observed in a pocket formed by subunits ND2, NDUFB5 and NDUFA11 on the intermembrane space side of the enzyme (Fig. 4 & S26-27). The pocket is occupied by the N-terminal 7 residues of NDUFC2 in the inhibitor-free enzyme, both here in π-dodecyl-B-D-maltoside (DDM) and in all states of the bovine enzyme in nanodiscs. The NDUFC2 N-terminus is displaced by the biguanide, with inhibitor densities observed in most classes here (Fig. S26-27). The biguanide moiety is stabilized by an ionic interaction with ND2-Glu347, as well as by hydrogen bonds with the ND2-Tyr196 backbone carbonyl, ND2-Thr199 hydroxyl, ND2-Asn197 sidechain and NDUFA11-Val140 C-terminal carboxyl, as well as nearby water molecules resolved in some maps (Fig. S26-27). The IM1092 bound in this site does not interfere with any known catalytically relevant structural elements in the complex so is likely to represent a non-inhibitory interaction.

Independence of interaction sites

The two local classification schemes used (Figs. S7 & S8) each yielded six models and a summary of their key features is shown in Table 1. All six classes from Q-channel classification (Fig. S7) had poor density for the ND5/NDUFB4 interface, consistent with a mixture of the three lateral helix states being represented there. Overall, ~65% of the imaged protein population is disrupted in this region (Fig. S8), and disorder is observed in all three major classes, as well as in states with (e.g. Deactive-1092-i) or without clear binding of IM1092 at the Q-site (Active-1092-i). Furthermore, in the classes from the lateral helix classification (Fig. S8), density for IM1092 was observed in the Q-channel of deactive classes with both ordered and displaced lateral helix. Taken together, biguanide-binding in the Q-channel and the state of the lateral helix are not correlated. IM1092 is observed in the ND2/NDUFB5/NDUFA11 pocket regardless of the occupancy of the Q-channel or the status of the lateral helix (Table 1). Therefore, the three interaction sites are independent of one other.

Biguanide access to complex I binding sites

Substantial inhibition of complex I in vivo requires the biguanide positive charge, an inherent feature of the two co-joined guanidinium moieties at physiological pH, to drive biguanide accumulation in the mitochondrial matrix by up to 1,000-fold relative to the cytosol, in response to the mitochondrial proton-motive force (PMF). This mitochondrial concentrating effect makes the intramitochondrial biguanide concentration sufficient for the inhibition of targets with only relatively weak biguanide affinity, such as complex I, making them as potentially relevant as targets outside of the mitochondrial matrix that exhibit greater intrinsic affinities, such as rat mGPD. We note that recent work has questioned mGPD itself as a therapeutic target, because metformin was found not to inhibit the human enzyme. All three interaction/binding sites described in complex I contain acidic residues close to the membrane/aqueous interface, suggesting that IM1092 accesses them from the membrane, likely with the chloro-iodo-phenyl group acting as an anchor into the hydrophobic membrane core, and the hydrophilic biguanide moiety interacting with the negatively charged phosphate headgroups, as proposed previously. The most likely route of access for hydrophobic biguanides to the Q-channel is therefore via the matrix-facing phospholipid leaflet. While the Q-channel is reproducibly well-ordered in the active state, deactive (or slack) states have mobile regions of the Q-channel loops that face the mitochondrial matrix, and so it is also possible that the Q-channel may become exposed to the matrix in these states, providing an alternative route for hydrophilic biguanides with poor membrane solubility, such as metformin, to enter the Q-channel.

Major inhibitory site and selectivity for the deactive state

Biguanides, including IM1092 and the antidiabetic compounds metformin and phenformin, all share a preference to bind to the deactive state of complex I. This unique behaviour is not observed for any other class of complex I inhibitor, and we expect all three biguanides to share the same inhibitory binding site and mode of action. In comparison to canonical hydrophobic complex I inhibitors like rotenone, biguanides are relatively hydrophilic, water soluble molecules that are unlikely to bind in highly hydrophobic or membrane-intrinsic sites. We suggested previously that metformin might interact at the junction of the hydrophilic and hydrophobic domains where a set of mobile elements (in subunits NDUFS7, NDUFS2, ND3 and ND1) change their conformation between the active and deactive states, by binding to a resting state and preventing a return to catalysis. Our structures now demonstrate that the biguanide binding site is inside the Q-channel, in a region that likely becomes exposed to the matrix in the deactive state, and adjacent to the mobile element in NDUFS7 that carries Arg77 and that switches its conformation between the active and deactive states.

In the Q-channel, IM1092 binds in an amphipathic region with the biguanide moiety stabilized by hydrogen-bonding, cation-π interactions and ionic bonding, while the hydrophobic chloro-iodo-phenyl group is stabilized by weak halogen bonding and van der Waals interactions. These additional stabilizing interactions between the hydrophobic portion of the Q-binding site and hydrophobic biguanides explain the relationship observed previously between biguanide hydrophobicity and inhibitory potency. Other neutral and highly hydrophobic ligands (DDM, cholate, rotenone and IACS-2858) have also been observed binding in overlapping sites in various protein states (Fig. S28). Yet biguanides remain unique inhibitors in their state selectivity, shown here and previously. Of the other inhibitors, only rotenone has been demonstrated to bind to a deactive-like open state, but the binding was not state-specific and the protein interactions and in-vivo effects of biguanides and rotenone are quite different.

Despite the locations of the biguanide and ubiquinone binding sites overlapping, metformin does not display classical competitive behavior. This is likely because neutral, hydrophobic inhibitors such as piericidin A, IACS-2858, and acetogenin compete for (active-like) enzyme states capable of forming the Michaelis complex, but biguanide binding occurs most readily in deactive-like states that are not pre-organized due to disordering of the Q-channel loops in NDUFS2, ND3 and ND1. The deactive state of complex I is stabilized by high pH and here we see a strong correlation between pH and inhibitory potency. Weak biguanide inhibition of active complex I could originate either from binding to the Q-channel, or from an inhibitory nature to the ND5 lateral helix interaction. The conformation of the NDUFS7 β1–β2 loop that contains Arg77 differs dramatically between the active, deactive and slack states. Biguanides bind 7-14 Å from Arg-77 in deactive and slack states, but the arginine guanidinium position is shifted relative to the positions in the DDM and cholate bound bovine nanodisc deactive and slack states (PDB 7QSM & 7QSO) (Fig. S28). In all active models, Arg77 is much closer to the putative biguanide binding site (Fig. 2B), presenting a source of steric hindrance and charge repulsion that acts against strong inhibitory binding and explains the unique preference of biguanide inhibitors to bind to NEM-sensitive (deactive) complex I (manifesting as a lower IC50 for deactivated complex I (Fig. 1B)). Biguanides are less powerful inhibitors when added during catalysis, rather than before and metformin has been proposed to act by slowing down activation rather than by classical inhibition. Our data support an inhibitory mode that primarily acts by preventing reactivation of the resting deactive state, and we conclude that the major inhibitory interaction site of biguanides is the Q-channel.

Local chaotropic drug-protein interactions

A key feature of biguanide interactions with complex I is the displacement and disordering of a portion of the ND5 lateral helix. This type of localized disruption has not been observed previously but may be facilitated by non-specific interactions with phospholipids. Considering the similarity of biguanides to the well-known chaotrope and protein denaturant guanidinium, the biguanide may be attracted to the negatively charged ND5-Asp554 and ND5-Glu559 and specifically destabilize the hydrogen bonding networks between the lateral helix and subunit ND4. In particular, biguanide binding could weaken the interactions of the lateral helix π-bulge segment, allowing secondary structure shifts to form an α-helix and a disordered loop. Following this process, the unraveled segment of the helix would no longer provide lateral support to keep the strained junction between ND2 and ND4 tightly together, explaining the slight ‘opening’ of the proximal and distal membrane domain interface (Fig. S25). Protein stability assays (Fig. S2) suggest that complex I is stabilized close to the IM1092 IC50 ranges, but destabilized at higher concentrations, and we interpret this to indicate that binding to the Q-channel (and/or ND2/NDUFB5 interface) stabilizes the protein, and chaotropic action occurs at higher concentrations. Our structures here are in a detergent micelle with tightly-bound lipids present, and the chaotropic interaction site we observe is within the phospholipid headgroup plane. Importantly, any inhibitory consequences of structural disturbance here are fully reversible, demonstrated by full recovery of activity after inhibitor dilution (Fig. S2F). We propose that biguanides such as metformin, phenformin and related drug-leads could exert similar local chaotropic actions on any number of cellular proteins, especially membrane proteins, to inhibit or stimulate their usual functions, presenting an entirely new mode of enzyme-drug interaction, and a potential explanation for the breadth of biguanide targets identified thus far.

Implications for in-vivo mechanism of action

While other complex I inhibitor classes have been proposed as possible therapeutic compounds, biguanides appear to offer a lower toxicity profile than neutral species like rotenone, with reduced risk of Parkinsonism. The key factor may lie in self-limitation of action in the form of negative feedback at the organelle level, meaning that their mechanism of action lowers the risk of complete inhibition of the respiratory chain. The membrane potential leads to increased concentration of biguanides at the complex I site of action, but as complex I is inhibited the membrane potential falls, creating an equilibrium that limits the concentration and therefore the degree of inhibition. Toxicity may also be influenced by the ready reversibility of biguanide inhibition seen here and previously, compared to the irreversibility of very hydrophobic, neutral compounds. In-vivo, the active-like state that binds canonical inhibitors is expected to be prevalent in normal tissues, where the opportunities for biguanides to inhibit may be restricted to the weak binding observed here against active-like states, or to the binding of putative catalytic intermediates where NDUFS7-Arg77 has moved away from the inhibitory binding site. The deactive state of complex I forms during oxygen starvation, such as during ischemia, and in solid tumor microenvironments. Discrimination of biguanides for this state means that, unlike canonical inhibitors, hypoxic tissues can be selectively targeted with less risk of also compromising mitochondrial respiration in tissues with normally functioning (active) complex I. In such low oxygen environments, only complex I in the active state may work in the reverse direction, using the proton-motive force and ubiquinol to drive NAD+ reduction and reactive oxygen species (ROS) production. By targeting the deactive state formed in these environments, preventing reactivation, biguanides may diminish ROS production by reverse electron transfer, as has been observed previously for metformin.

While metformin has proven to be a safe and effective biguanide for diabetes treatment, our data now provide a structure-based rationale for its mode of action, a basis for future structure-based biguanide drug design for the state-specific inhibition of complex I for other potential therapeutic applications (such as cancer treatment) where metformin has been less successful, as well as improved prediction of additional protein target binding sites for biguanide drugs.

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    Kampjut D, Sazanov LA. The coupling mechanism of mammalian respiratory complex I. Science (80-. ). 2020;370:eabc4209.

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    Chung I, Wright JJ, Bridges HR, Ivanov BS, Biner O, Pereira CS, Arantes GM, Hirst J. Cryo-EM structures define ubiquinone-10 binding to mitochondrial complex I and conformational transitions accompanying Q-site occupancy. Nat Commun. 2022;13:2758.

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    Agip ANA, Blaza JN, Bridges HR, Viscomi C, Rawson S, Muench SP, Hirst J. Cryo-em structures of complex i from mouse heart mitochondria in two biochemically defined states. Nat Struct Mol Biol. 2018;25:548-556.

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    Kim SW, Kim HW, Yoo SH, Lee JS, Heo HJ, Lee HB, Kook JA, Lee YW, Kim MJ, Cho W. Guanidine Compounds and use thereof US2017/0073331 A1. 2017;1-63.

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    Bridges HR, Sirviö VA, Agip ANA, Hirst J. Molecular features of biguanides required for targeting of mitochondrial respiratory complex I and activation of AMP-kinase. BMC Biol. 2016;14:65.

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    Gavrikova EV, Vinogradov AD. Active/de-active state transition of the mitochondrial complex I as revealed by specific sulfhydryl group labeling. FEBS Lett. 1999;455:36-40.

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    Fedor JG, Jones AJY, Di Luca A, Kaila VRI, Hirst J. Correlating kinetic and structural data on ubiquinone binding and reduction by respiratory complex I. Proc Natl Acad Sci U S A. 2017;114:12737-12742.

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    Landrum MJ, Lee JM, Benson M, Brown GR, Chao C, Chitipiralla S, Gu B, Hart J, Hoffman D, Jang W, Karapetyan K, et al. ClinVar: Improving access to variant interpretations and supporting evidence. Nucleic Acids Res. 2018;46:D1062-D1067.

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    Blakely EL, de Silva R, King A, Schwarzer V, Harrower T, Dawidek G, Turnbull DM, Taylor RW. LHON/MELAS overlap syndrome associated with a mitochondrial MTND1 gene mutation. Eur J Hum Genet. 2005;13:623-627.

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    Efremov RG, Baradaran R, Sazanov LA. The architecture of respiratory complex I. Nature. 2010;465:441-445.

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  38. 38.

    Ludwiczak J, Winski A, da Silva Neto AM, Szczepaniak K, Alva V, Dunin-Horkawicz S. PiPred – a deep-learning method for prediction of n-helices in protein sequences. Sci Rep. 2019;9:6888.

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  39. 39.

    Cartailler JP, Luecke H. Structural and Functional Characterization of n Bulges and Other Short Intrahelical Deformations. Structure. 2004;12:133-144.

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  40. 40.

    Davidoff F. Effects of guanidine derivatives on mitochondrial function: III The mechanism of phenethylbiguanide accumulation and its relationship to in vitro respiratory inhibition. J Biol Chem. 1971;246:4017-4027.

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    MacDonald MJ, Ansari IUH, Longacre MJ, Stoker SW. Metformin’s Therapeutic Efficacy in the Treatment of Diabetes Does Not Involve Inhibition of Mitochondrial Glycerol Phosphate Dehydrogenase. Diabetes. 2021.

    Not in our library10.2337/db20-1143

  42. 42.

    Schäfer G. On the mechanism of action of hypoglycemia-producing biguanides A reevaluation and a molecular theory. Biochem Pharmacol. 1976;25:2005-2014.

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    Samart N, Beuning CN, Haller KJ, Rithner CD, Crans DC. Interaction of a Biguanide Compound with Membrane Model Interface Systems: Probing the Properties of Antimalaria and Antidiabetic Compounds. Langmuir. 2014;30:8697-8706.

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  45. 45.

    Chung I, Serreli R, Cross JB, Di Francesco ME, Marszalek JR, Hirst J. Cork-inbottle mechanism of inhibitor binding to mammalian complex I. Sci Adv. 2021;7:eabg4000.

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  46. 46.

    Konopleva M, Yap T, Daver N, Mahendra M, Zhang J, Kamiya-Matsuoka C, Meric-Bernstam F, Kantarjian H, Ravandi F, Collins M, Di Francesco M, et al. Targeting Oxidative Phosphorylation with a Mitochondrial Complex I Inhibitor is limited by Mechanism-based Toxicity. Res Sq. 2022.

    Not in our library10.21203/rs.3.rs-1506700/v1

  47. 47.

    Heinz S, Freyberger A, Lawrenz B, Schladt L, Schmuck G, Ellinger-Ziegelbauer H. Energy metabolism modulation by biguanides in comparison with rotenone in rat liver and heart. Arch Toxicol. 2019;93:2603-2615.

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    Bridges HR, Fedor JG, Blaza JN, Di Luca A, Jussupow A, Jarman OD, Wright JJ, Agip ANA, Gamiz-Hernandez AP, Roessler MM, Kaila VRI, et al. Structure of inhibitor-bound mammalian complex I. Nat Commun. 2020;11:5261.

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  49. 49.

    Grba DN, Blaza JN, Bridges HR, Agip ANA, Yin Z, Murai M, Miyoshi H, Hirst J. Cryo-electron microscopy reveals how acetogenins inhibit mitochondrial respiratory complex I. J Biol Chem. 2022;298:101602.

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  50. 50.

    Kotlyar AB, Sled VD, Vinogradov AD. Effect of Ca2+ ions on the slow active/inactive transition of the mitochondrial NADH-ubiquinone reductase. Biochim Biophys Acta - Bioenerg. 1992;1098:144-150.

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  51. 51.

    Galkin A, Moncada S. Modulation of the conformational state of mitochondrial complex I as a target for therapeutic intervention. Interface Focus. 2017;7:20160104.

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    Di Luca A, Kaila VRI. Molecular strain in the active/deactive-transition modulates domain coupling in respiratory complex I. Biochim Biophys Acta - Bioenerg. 2021;1862:148382.

    Not in our library10.1016/j.bbabio.2021.148382

  53. 53.

    Madhusudhan N, Hu B, Mishra P, Calva-Moreno JF, Patel K, Boriack R, Ready JM, Nijhawan D. Target discovery of selective non-small-cell lung cancer toxins reveals inhibitors of mitochondrial complex i. ACS Chem Biol. 2020;15:158-170.

    Not in our library10.1021/acschembio.9b00734

  54. 54.

    Molina JR, Sun Y, Protopopova M, Gera S, Bandi M, Bristow C, McAfoos T, Morlacchi P, Ackroyd J, Agip ANA, Al-Atrash G, et al. An inhibitor of oxidative phosphorylation exploits cancer vulnerability. Nat Med. 2018;24:1036-1046.

    Not in our library10.1038/s41591-018-0052-4

  55. 55.

    Naguib A, Mathew G, Reczek CR, Watrud K, Ambrico A, Herzka T, Salas IC, Lee MF, El-Amine N, Zheng W, Di Francesco ME, et al. Mitochondrial Complex I Inhibitors Expose a Vulnerability for Selective Killing of Pten-Null Cells. Cell Rep. 2018;23:58-67.

    Not in our library10.1016/j.celrep.2018.03.032

  56. 56.

    Russell DA, Bridges HR, Serreli R, Kidd SL, Mateu N, Osberger TJ, Sore HF, Hirst J, Spring DR. Hydroxylated Rotenoids Selectively Inhibit the Proliferation of Prostate Cancer Cells. J Nat Prod. 2020;83:1829-1845.

    Not in our library10.1021/acs.jnatprod.9b01224

  57. 57.

    Drahota Z, Palenickova E, Endlicher R, Milerova M, Brejchova J, Vosahlikova M, Svoboda P, Kazdova L, Kalous M, Cervinkova Z, Cahova M. Biguanides inhibit complex I, II and IV of rat liver mitochondria and modify their functional properties. Physiol Res. 2014;63:1-11.

    Not in our library10.33549/physiolres.932600

  58. 58.
  59. 59.

    Batandier C, Guigas B, Detaille D, El-Mir M, Fontaine E, Rigoulet M, Leverve XM. The ROS production induced by a reverse-electron flux at respiratory-chain complex 1 is hampered by metformin. J Bioenerg Biomembr. 2006;38:33-42.

    Not in our library10.1007/s10863-006-9003-8

  60. 60.

    Blaza JN, Serreli R, Jones AJY, Mohammed K, Hirst J. Kinetic evidence against partitioning of the ubiquinone pool and the catalytic relevance of respiratory-chain supercomplexes. Proc Natl Acad Sci U S A. 2014;111:15735-15740.

    Not in our library10.1073/pnas.1413855111

  61. 61.

    Sharpley MS, Shannon RJ, Draghi F, Hirst J. Interactions between phospholipids and NADH:ubiquinone oxidoreductase (complex I) from bovine mitochondrial. Biochemistry. 2006;45:241-248.

    Not in our library10.1021/bi051809x

  62. 62.

    Jones AJY, Blaza JN, Bridges HR, May B, Moore AL, Hirst J. A Self-Assembled Respiratory Chain that Catalyzes NADH Oxidation by Ubiquinone-10 Cycling between ComplexI and the Alternative Oxidase. Angew Chemie - Int Ed. 2016;55:728-731.

    Not in our library10.1002/anie.201507332

  63. 63.

    Jones AJY, Blaza JN, Bridges HR, May B, Moore AL, Hirst J. A Self-Assembled Respiratory Chain that Catalyzes NADH Oxidation by Ubiquinone-10 Cycling between Complex I and the Alternative Oxidase. Angew Chemie. 2016;128:738-741.

    Not in our library10.1002/anie.201507332

  64. 64.

    Walpole TB, Palmer DN, Jiang H, Ding S, Fearnley IM, Walker JE. Conservation of Complete Trimethylation of Lysine-43 in the Rotor Ring of c-Subunits of Metazoan Adenosine Triphosphate (ATP) Synthases*. Mol Cell Proteomics. 2015;14:828-840.

    Not in our library10.1074/mcp.m114.047456

  65. 65.

    Carroll J, Fearnley IM, Shannon RJ, Hirst J, Walker JE. Analysis of the subunit composition of complex I from bovine heart mitochondria. Mol Cell Proteomics. 2003;2:117-126.

    Not in our library10.1074/mcp.m300014-mcp200

  66. 66.
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  68. 68.
  69. 69.

    Rohou A, Grigorieff N. CTFFIND4: Fast and accurate defocus estimation from electron micrographs. J Struct Biol. 2015;192:216-221.

    Not in our library10.1016/j.jsb.2015.08.008

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    Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, Ferrin TE. UCSF Chimera - A visualization system for exploratory research and analysis. J Comput Chem. 2004;25:1605-1612.

    Not in our library10.1002/jcc.20084

  71. 71.

    Emsley P, Cowtan K. Coot: Model-building tools for molecular graphics. Acta Crystallogr Sect D Biol Crystallogr. 2004;60:2126-2132.

    Not in our library10.1107/s0907444904019158

  72. 72.
  73. 73.

    Gu J, Liu T, Guo R, Zhang L, Yang M. The coupling mechanism of mammalian mitochondrial complex I. Nat Struct Mol Biol. 2022;29:172-182.

    Not in our library10.1038/s41594-022-00722-w

  74. 74.

    Bas DC, Rogers DM, Jensen JH. Very fast prediction and rationalization of pK. Proteins. 2008.

    Not in our library10.1002/prot.22102

  75. 75.

    Parey K, Haapanen O, Sharma V, Köfeler H, Züllig T, Prinz S, Siegmund K, Wittig I, Mills DJ, Vonck J, Kühlbrandt W, et al. High-resolution cryo-EM structures of respiratory complex I: Mechanism, assembly, and disease. Sci Adv. 2019;5:eaax9484.

    Not in our library10.1126/sciadv.aax9484

  76. 76.

    Berrisford JM, Sazanov LA. Structure of Respiratory Complex I. Encycl Biol Chem Second Ed. 2013;494:341-346.

    Not in our library

  77. 77.

    Pettersen EF, Goddard TD, Huang CC, Meng EC, Couch GS, Croll TI, Morris JH, Ferrin TE. UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Sci. 2021;30:70-82.

    Not in our library10.1002/pro.3943

  78. 78.

    Tian W, Chen C, Lei X, Zhao J, Liang J. CASTp 3.0: Computed atlas of surface topography of proteins. Nucleic Acids Res. 2018;46:W363-W367.

    Not in our library10.1093/nar/gky473

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