Membrane Lipid Switches: History
Please note this is an old version of this entry, which may differ significantly from the current revision.

Peripheral membrane proteins are required for signal propagation upon ligand-induced receptor activation at the plasma membrane. The translocation of this amphitropic peripheral proteins from or to the plasma membrane enables signal cascade propagation into the cells. This translocation greatly depends on the membrane’s lipid composition and, consequently, regulation of the lipid bilayer emerges as a novel therapeutic strategy. Indeed, relevant changes in membrane lipids can induce massive translocation of peripheral signaling proteins from or to the plasma membrane, which controls how cells behave. We called these changes “lipid switches”, as they alter the cell’s status (e.g., proliferation, differentiation, death, etc.) in response to the modulation of membrane lipids. This discovery enables therapeutic interventions focused on modifying the bilayer’s lipids, an approach known as membrane-lipid therapy (MLT) or melitherapy.

  • melitherapy
  • lipid switch
  • protein-membrane interactions
  • peripheral amphitropic membrane proteins

1. Introduction 

Amphitropic membrane proteins are required for signal propagation upon ligand-induced receptor activation at the plasma membrane. These proteins are only activated by ligand-receptor complexes when they both come into physical contact. The interaction between membrane receptors and the amphitropic proteins may not only depend on the expression of these proteins but also on the presence of the peripheral proteins in the vicinity of the membrane receptor, which may be controlled by membrane lipids[1][2]. Therefore, changes in the membrane lipid composition can induce important changes in cell physiology that affect proliferation, differentiation, and/or cell death[3][4]. These interactions and the signals they produce are responsible for the pathophysiological status of the cell, which may be influenced by external cues, genetic alterations, lipid storage disorders, etc.[5][6]. Recent studies have shown that the type and levels of peripheral amphitropic signaling proteins in membranes or aqueous compartments depends on both the membrane’s lipid composition, and the protein’s amino acid sequence and post-translational lipid modifications[2][7]. In this sense, alterations in the balance of peripheral signaling proteins at membranes and in the cytosol have been associated with a variety of pathologies[8][9]. The regulation of membrane lipids controls the type and abundance of the proteins in membranes, an approach that can be used to treat several conditions, including cancer, Alzheimer’s disease (AD), cardiovascular diseases (CVDs), inflammation, etc.[10][11][12][13].

2. Influence of Membrane Lipid Structure and Composition on Protein-Lipid Interactions

This entry aims to review the interaction of amphitropic signaling proteins with membrane structures. This type of interaction deserves further attention because: (i) the  plasma membrane is a critical hub for signaling proteins; (ii) cells can regulate their lipid composition according to a range of pathophysiological situations; (iii) membrane lipids organize into different microdomains rich in specific lipid species, which attract different types of proteins; and (iv) proteins that prefer certain types of lipid structures can drive productive interactions involving the reception and propagation of cell signals in certain types of microdomains[1][2][14][15][16]. In this context, the ability of membranes to generate microdomains is due to the non-homogeneous mixing of membrane lipids[17][18]. One example of this heterogenous lipid mixture is the transbilayer lipid asymmetry. Higher levels of sphingomyelin (SM) and phosphatidylcholine (PC) have been found in the outer plasma membrane leaflet, whereas phosphatidylethanolamine (PE) and phosphatidylserine (PS) are more abundant in the inner leaflet. This asymmetry has a relevant impact on the biophysical properties of the membrane and the protein–lipid interactions[19]. Indeed, the number of peripheral proteins bound to the inner leaflet is higher than that bound to the outer leaflet[20]. A variety of microdomains have been described in which either lamellar-prone or non-lamellar-prone lipids organize into different ordered or disordered lipid platforms[1][14][21][22]. These membrane regions with varying size can be distinguished from their adjacent microdomains in terms of their lipid and protein composition, bilayer thickness, lateral surface pressure, acyl chain mobility, membrane morphology, etc.

In general, the formation of membrane microdomains with specific lipids favors the presence of certain peripheral proteins, while hindering the interaction of other proteins. For example, microdomains with a high proportion of hexagonal (HII) phase-prone lipids, such as PE or diacylglycerol (DAG), are critical in the recruitment of peripheral amphitropic signaling proteins and thus, for cell growth and differentiation[1][15]. Indeed, the interaction of peripheral membrane proteins, such as G proteins and Protein Kinase C (PKC), with HII membrane structures was first described some years ago[1]. In this context, one of the mechanisms of action by which anthracyclines exert their antitumor action was through the inhibition of HII-phase propensity and the subsequent mislocalization of these signaling proteins. This phenomenon explained why anthracyclines could kill cancer cells solely by interacting with the plasma membrane but not entering the cells[23]. Subsequently, important modifications of the plasma membrane’s lipid composition by anthracyclines was seen to be relevant to their mechanism of action[3].

One example of membrane microdomain in cells are caveolae (“little caves”) which form spatio-temporal platforms where Endothelial Growth Factor Receptor (EGFR), Ras, and Raf1 meet to propagate signals promoting cell growth[24]. Similarly, in the case of G proteins, Liquid-ordered (Lo) microdomains (e.g., lipid rafts) are preferred by Gαi1 proteins, whereas Liquid-disordered (Ld) microdomains bind with high affinity to Gαβ and Gαβγ proteins[2][15]. In fact, Gαβ heterodimer was seen to drive the interaction of Gαβγ heterotrimers in PE-enriched Ld membrane microdomains. Thus, one of the roles of Gαβ dimers is to bring Gα monomers into contact with G-Protein-Coupled Receptors (GPCRs)[2][15][7]. Another well-known protein–membrane interaction is the Ca2+-mediated fusion of synaptic vesicles to membranes in order to release neurotransmitters into the synaptic cleft. In this process, Ca2+ binding to the C2 domain of synaptotagmin mediates vesicle exocytosis, assisting fusion to the plasma membrane via its interaction with a SNARE/complexin complex in presynaptic terminals[25]. In general, non-lamellar-prone membrane microdomains rich in PE or DAG are necessary for interactions with the C2 domain in certain proteins. Moreover, they are necessary for membrane fusion and fission phenomena, such as exocytosis and endocytosis, which require the formation of inverted curvature non-lamellar (HII) intermediates[26][27][28].

In summary, the localization and activity of important peripheral signaling proteins is very sensitive to changes in membrane structure[1]. Therefore, natural or synthetic molecules that regulate lipid polymorphism in vitro and membrane microdomains in vivo[29] can regulate the localization and activity of peripheral membrane proteins, and thereby modulate cell signaling. In this context, membrane microdomains act as sites where signaling partners exert productive interactions. As such, signaling proteins can interact with downstream signal transducers, sharing their affinity for certain membrane lipids or lipid structures. Lamellar-prone Lo membrane microdomains (e.g., lipid rafts) contain specific lipids that define their membrane lipid structure and that are involved in selecting the proteins that bind to them[2][30]. The ability of lipids to organize into different structures (lipid mesomorphism) depends on the lipid composition and external physical factors, such as temperature. The mosaic of lipid structures that defines different membrane microdomains facilitates a number of different protein–lipid interactions[14][21][31].

3. Altered Protein-Lipid Interactions in Human Disease and Therapy

The activity of many amphitropic proteins depends on their membrane interactions, which are modulated by the lipid composition of the membrane. The activity of several important signaling proteins is regulated by protein–lipid interactions, including Src kinase, RAS-guanine nucleotide exchange factor, cytidylyltransferase, PKC, phospholipase C, vinculin and DnaA protein. Therefore, membrane lipids imbalance can have an important influence on several diseases, as recently reviewed[32] (Figure 1).

For example, cystic fibrosis causes lipid imbalances that affect surfactant function, producing a negative effect on breathing[33][34]. In mouse models of cystic fibrosis, a similar lipid imbalance was found in affected organs, although administration of docosahexaenoic acid (DHA) normalized both these lipid changes and the animal’s health status[35]. In brain injury, a significant increase in SM, PE, PC and the derivatives lysoPE and lysoPC have been described at acute and/or sub-acute time points[36]. In diabetes, DAG levels are chronically elevated in various tissues, such as the retina, aorta, heart and renal glomeruli, liver and skeletal muscles, leading to abnormal PKC activation[37]. PKC membrane recruitment is accompanied by a conformational rearrangement that relieves auto-inhibitory interactions, enabling PKC to bind to membranes through its C1 and/or C2 domains, and allowing it to phosphorylate its targets[38][39]. On the other hand, sphingolipids appear to be critical in the prognosis of anaplastic lymphoma. Thus, Anaplastic Lymphoma Kinase (ALK)+ lymphomas may express an ALK fusion protein involved in cancer cell survival, or the Cbp/PAG adaptor protein and the Lyn kinase signalosome (a protein complex involved on signal propagation) that recruits other transcription factors and signaling enzymes. Lyn is not particularly active in ALK+ lymphoma membranes that contain sphingolipid-rich domains (i.e.: raft-like membrane microdomains) which impairs the productive signaling of the Lyn-Cbp/PAG signalosome[40]. Therefore, the plasma membrane appears to act as a switch, and alterations in its composition cause dramatic translocations of proteins to or from the plasma membrane. Such signals appear to be especially relevant in the context of cell proliferation. Thus, either the increase in cell proliferation caused by tumor alterations or decreased proliferation related to neurodegeneration (e.g., AD or Parkinson’s disease (PD)) have been related to membrane lipid modifications[1][3][11][41][42]Figure 1. Lipid imbalances and human pathologies. Alterations to the lipidome in a variety of conditions. The triangle indicates increased levels or pathway activity: PL, phospholipid; PtdIns(3,4,5)P3, phosphatidylinositol 3,4,5-trisphosphate; PE, phosphatidylethanolamine; SM, sphingomyelin; OLR1, oxidized low-density lipoprotein receptor 1; GLRX, glutaredoxin; FASN, FA synthase; ACC, acetyl-CoA carboxylase; INSIG1, insulin induced gene 1; SREBP1, sterol regulatory element-binding protein 1; LSD, lysosomal disorder; SL, sphingolipid; Chol, cholesterol; FA, fatty acid; PS, phosphatidylserine (Adapted from [32]).

3.1. Protein-Lipid Interactions in Cancer

The RAS family of amphitropic proteins is related to cell proliferation and mutated (especially K-RAS) in 95% of pancreatic, 45% of colorectal, and 35% of lung cancers[43]. Guanine nucleotide exchange factors (GEFs) and GTPase activating proteins (GAPs) control RAS activation by inducing GDP exchange for GTP or GTP hydrolysis to GDP, respectively. To regulate RAS activation, GEFs and GAPs are recruited to plasma membrane microdomains close to RAS. The activity of K-RAS has been directly related to membrane regions rich in PS which interact with a polybasic amino acid region in the C-terminal region of this protein[44]. In addition, RAS activation requires palmitoylation at Golgi membranes that drives RAS to the plasma membrane via vesicle trafficking[45]. The presence of RAS at the plasma membrane is necessary for its activity as a tumor promoter, which also depends on its covalent acylation. Palmitoylation is not only important for RAS activity, it is also essential for the function of other oncogenes (e.g., EGFR).

The Wnt signaling pathway regulates a variety of cellular processes including cell proliferation. Hence, aberrant activation of the Wnt-FZD signaling leads to tumorigenesis in many tissues[46], including the breast, prostate, colon, brain and pancreas. Wnt family members undergo two types of post-translational modifications that influence their interactions with lipid bilayers and that are essential for Wnt signaling: serine acylation and the subsequent S-palmitoylation of cysteine[47]. Wnt signaling involves crosstalk with other important cell signaling pathways including the Notch, Hedgehog, and EGFR cascades[48] which are all of them altered to some degree in different cancers[49][50][51] and controlled by lipid–protein interactions, which highlights the relevance of these interactions in cancer. Accordingly, modulation of these lipid–protein interactions may produce potential therapeutic benefits in the treatment of cancer[1][14][52][53]. This approach has been termed MLT or melitherapy, and it has been demonstrated to combine high efficacy and safety in clinical trials (e.g., ClinicalTrials.gov identifiers NCT01792310 and NCT03366480).

3.2. Protein-Lipid Interactions in Neuroregeneration

Neurodegenerative diseases are a public-health issue worldwide with unmet clinical needs. Classic therapies focus on preventing or delaying neuronal degeneration, whereas more recent interest has also focused on neuroregenerative therapies. The finding that Neural Stem/Progenitor Cells (NSPCs) persist in adults, and the discovery of relevant transcription factors and signaling pathways, including signaling lipids that influence NSPC behavior and of neurogenesis, raised hope in therapies based on NSPC regulation and the potentiation of neurogenesis[54]. In this context, polyunsaturated fatty acids (PUFAs), like DHA (C22:6, n-3) and AA (arachidonic acid, C20:4, n-6) are abundant in the CNS, being the brain the organ with the highest DHA levels[55]. Studies reviewing the effect of these PUFAs on NSPC regulation support a role for both in neurogenesis during brain development and adulthood. Specifically, AA increases NSPC proliferation, and it probably influences the maintenance of the NSPC pool, whereas DHA promotes neuronal differentiation[56][57]. In addition, not only do the individual levels of these two PUFAs in cell membranes play a role in neurogenesis but also, the ratio between them is determinant as a lipid switch[58]. In fact, due to the higher proportion of omega-6 PUFAs in western diets, low dietary omega-6/omega-3 ratios have been widely described as beneficial on neurodegenerative pathologies such as AD.

PUFAs can modulate lipid-raft-mediated signaling by regulating the composition of these structures[21][59]. For instance, increased levels of cell membrane PUFAs are associated with increased NSPC proliferation due to the disruption of protein localization to lipid rafts[60]. Membrane lipids can also regulate signaling in NSPCs through fatty acid (FA) binding to specific receptors, such as Fatty Acid Binding Proteins (FABPs). Three members of this family are expressed in the brain: FABP3, FABP5 and FABP7[61]. The protein FABP3, is related with neuritogenesis and synaptogenesis, whereas FABPs 5 and 7 are involved in NSPC differentiation and migration[62]. Other receptors influenced by DHA and other PUFAs and that are involved in neurogenesis have also been described. Thus, DHA has been shown to bind (directly or via FABPs) to Peroxisome Proliferator-Activated Receptor γ (PPARγ), a nuclear receptor that mediates the expression of transcription factors that enhance neurogenesis[63]. DHA also binds to GPR40 (G-protein coupled receptor 40), the activation of which leads to neuronal differentiation of NSPCs[64].

PUFAs have unique biophysical properties in membranes, regulating their interactions with proteins. They favor the occurrence of Ld membrane microdomains[29][65], which are associated with changes in protein–lipid interactions. In this context, a decline in DHA biosynthesis correlates with cognitive impairment in AD patients[66] and alterations to membrane lipids in neurons have been proposed as upstream events implicated in neurodegeneration, such as Aβ production and tau phosphorylation[59]. These lipid alterations might affect protein–lipid interactions that would activate the neurodegenerative cascade, as well as modulating neuroprotection and neuroregeneration[11][67]. Indeed, treatment with the PUFA 2-hydroxydocosahexaenoic acid inhibits amyloid production, tau phosphorylation, and it induces an increase in PUFAs and the recovery of cognitive scores in a mouse model of human AD (5XFAD mice[11]).

3.3. Protein-Lipid Interactions in Diabetes

Insulin resistance has been widely associated with an altered cell membrane composition, particularly in Type-2 diabetes mellitus (T2DM). Insulin resistance is characterized by a restriction in the ability of insulin to exert its physiological functions in tissues, leading to insulin hypersecretion by the pancreas as a compensatory mechanism to maintain glucose homeostasis. Unfortunately, this hyperinsulinemia induced by insulin resistance contributes to pancreatic β-cell failure and the further development of diabetes[68]. Insulin Receptor (IR) activation and its affinity for insulin depends on the cell membrane composition and structure. Decreased membrane fluidity caused by a high saturated FA content leads to less IR in the plasma membrane and reduced insulin affinity. However, the presence of PUFAs (particularly omega-3 PUFAs like DHA) increases membrane fluidity and insulin sensitivity[69].

In diabetic patients, DAG levels are chronically elevated in many peripheral tissues, leading to abnormal PKC activation[1][10][41]. Activated PKC enhances IRS (insulin receptor substrate) phosphorylation at Ser/Thr residues, which inhibits a conformational change in IRS that is necessary for IR-mediated Tyr phosphorylation and insulin signaling via Phosphatidylinositol 3-kinase (PI3K)[70]. However, omega-3 PUFAs inhibit PKC to favor insulin signaling[71]. The lipid composition of the plasma membrane also influences glucose transport via GLUT. Indeed, epidemiological studies indicate that dietary changes from unsaturated towards saturated lipids inhibit the insertion of GLUT4 into the plasma membrane, thereby altering glucose uptake from the blood and insulin sensitivity[72]. By contrast, experimental Chol depletion increases the density of GLUT4 receptors at the plasma membrane[73]. Interestingly, GLUT4 translocation to the plasma membrane is, in part, controlled by activation of the IR–IRS–PI3K axis which means that an increase in membrane fluidity (mediated by PUFA enrichment) in the presence of insulin may activate GLUT4 translocation to the plasma membrane[74]. Finally, GLUT4 expression is under the control of PPARγ, such that the presence of DHA in cell membranes and an optimal omega-3 to omega-6 ratio may promote GLUT4 expression[71]. Together, this evidence suggests that the membrane lipid composition acts as a switch that regulates the cell’s sensitivity to insulin, whereby lipids that promote membrane fluidity like omega-3 PUFAs potentiate the insulin response and activate the enzymatic machinery for glucose uptake.

There is abundant evidence demonstrating the association between dietary fats and diabetes, which supports the use of dietary fat interventions and melitherapy as therapeutic strategies in diabetic patients. Several studies have reviewed the use of Monounsaturated Fatty Acids (MUFAs) and PUFAs in diabetes although the effect of omega-3 PUFAs in preventing insulin resistance in animals appears to be more robust[75]. Increases in the unsaturation index in the cell membrane, and particularly in omega-3 PUFAs, is associated with stronger insulin sensitivity[76]. In general, improved insulin sensitivity has been associated with the enrichment of omega-3 PUFAs in cell membranes, and although the exact mechanism mediating this effect is not yet fully understood, protein–lipid interactions probably play a relevant role in the control of glycemia[69]. Therefore, the biophysical properties of lipid bilayers and structural membrane dynamics may play crucial roles in diabetic patients that could influence their pathological status and its treatment.

3.4. Protein-Lipid Interactions in Cardiovascular Diseases (CVDs).

The CVDs are the leading causes of death and disability worldwide. They include heart disease, vascular diseases of the brain and other diseases of blood vessels[77]. The major risk factors for CVDs are raised blood pressure (hypertension), raised blood sugar (diabetes) and raised blood cholesterol (Chol) (hyperlipidemia), together with other conditions such as cardiac arrhythmia, congenital heart disease, rheumatic heart disease and Chagas disease (American trypanosomiasis).

Lipid molecules that alter lipid–protein interactions may have therapeutic value in CVDs. Dietary control is one of the main tools in the prevention of CVD and in therapeutic terms[77][78]. The benefits of the Mediterranean diet for CVDs have become generally accepted and recent studies detail the usefulness of dietary supplementation strategies based on this diet. Extra virgin olive oil or mixed nuts decrease the cases of stroke, myocardial infarction and CV mortality[79]. There are several molecular entities that affect lipid–protein interactions and that may underlie these benefits. The levels of specific fatty acids increase upon olive oil consumption and this produces an increase in the MUFAs:SFA (Saturated FA) ratio. This increase alters membrane lipid structure and membrane fluidity, favoring non-lamellar membrane structures, and affecting the position and activity of certain proteins like G proteins and PKC[80]. Both GPCRs and G proteins are sensitive to the lipid environment[8] and the membrane-association of G proteins and PKC is significantly impaired in hypertensive subjects. Adrenergic receptors are especially relevant for CVDs, the levels of which vary with age and they can be targeted with ß-blockers. In particular, ß-adrenergic mediated vasorelaxation and Gαs coupling decreases with age and thus, melitherapy seems a plausible strategy to counteract this reduction (reviewed in [80]). The levels of lipoprotein lipase (LPL), a water-soluble enzyme responsible for hydrolyzing triglycerides in lipoproteins, and for the uptake of Chol-rich lipoproteins and of FFAs, decrease upon olive oil supplementation. This change is mediated by microRNA-410, which targets the 3’-untranslated region of the LPL gene[81].

As indicated above, hypertension is a major risk factor for CVDs which is accompanied by alterations in membrane Chol or phospholipid content, as well as in the degree of fatty acid saturation and phospholipid distribution[82][83]. Indeed, several approaches have been developed to target these molecular alterations. For example, the MUFA 2-hydroxyoleic acid (2OHOA) is a synthetic derivative of the oleic acid (OA), inspired by the beneficial effects on hypertension of long-term high-dose OA supplementation[84]. The anti-hypertensive potential of 2OHOA was shown in Sprague–Dawley (S–D) and spontaneously hypertensive rats (SHRs)[6][85]. Sustained, time-dependent decreases in blood pressure were reported that did not affect heart rate. At the molecular level, there was more Gαs in the aorta and heart membranes of S–D rats, and Gαq/11 and PKCα in heart membranes alone, producing increased cAMP and promoting vasodilatation. Treatment of SHRs with 2-OHOA produced a normalization of the aortic Rho kinase, suppressing the vasoconstrictor Rho kinase pathway seen in SHRs[85].  

Finally, raised blood Chol is also a major risk factor for CVDs. The contribution of altered lipid profiles to the damage following stroke was proposed almost 25 years ago[86]. Stroke-induced energy failure is followed by FFA release from the plasma membrane of damaged cells, some of which expand ischemic damage (i.e. AA), while others exert a pro-survival effect. AA is subject to the action of cyclooxygenases (COX) and lipoxygenases (LOX), converting it into proinflammatory eicosanoids (prostaglandins, thromboxanes and leukotrienes). Accordingly, 2-hydroxy arachidonic acid (2-OAA) is a rationally designed derivative of AA known to be a competitive inhibitor of COX-1 and COX-2, and thus, it can be used in LPS-treated mice to decrease proinflammatory cytokines in serum (reviewed in [86]). When assessed for the treatment of stroke using S-D rats, 2-OAA treatment produced neuroprotection[87]. At the molecular level, 2-OAA decreased phospholipase A2 (PLA2) in the cell membrane with a subsequent decrease in FFA release. Therefore, the use of rationally designed lipids would seem to be a promising new stroke therapy[87].

3.5. Protein-Lipid interactions in Infectious Diseases

Bacterial membranes show important differences with respect to eukaryotic cell membranes[88], which has two relevant implications: different types of protein–lipid interactions can be  found and these differences may allow the development of new therapeutic strategies to treat infectious diseases, using compounds that produce specifically effect only on prokaryotic cell membranes. Given the increased resistance of infectious microorganisms to conventional antibiotics, alternative drugs are potentially interesting to combat infections.

There are two examples supporting the relevance of protein–lipid interactions in infectious microorganisms, in which the selectivity of lipid binding to membrane protein complexes has been explored[89][90]. In the latter study, modeling was performed using the major facilitator superfamily (MFS), which includes thousands of closely related secondary active and passive solute transporters, such as multidrug efflux pumps[91][92]. The MFS group includes most of the known secondary transporters, such as transporters implicated in many human pathologies, in resistance to chemotherapeutic agents in humans and in resistance to antibiotics in bacteria[93][94]. Direct interactions between PE and the charge networks stabilize the inward-facing conformation, facilitating substrate release into the cytosol. It was therefore speculated that conformational regulation by specific lipid–protein interactions constitutes a widespread mechanism employed by many transporters, such as the clinically relevant solute carrier (SLC) transporters[95]. These studies illustrate how lipids fine tune the structure and function of membrane proteins, through their relative abundance and the differences in their selectivity for amino acid residues[96]. Specifically, in infectious diseases this regulation influences both the interaction of the pathogenic organism with the host cell and the reaction of the immunological cells involved in the response to the pathogenic organism or condition.

4. Summary

Membrane lipid composition and strucutre play a crucial role in the interaction of peripheral membrane proteins with the lipid bilayer, which is mediated by the binding of these signaling proteins to specific lipid species and to supramolecular membrane structures, known as membrane microdomains. Microdomains such as caveolae, lipid rafts, liquid disordered domains, etc., act as signal propagation platforms where signaling proteins have a higher probability of physically interacting. These proteins also bear lipid or amino acid motifs that drive their interactions with specific lipid species or lipid structures. Therefore, relevant changes in membrane lipids can induce translocation of peripheral proteins from or to the plasma membrane. We have called these changes “lipid switches”, as they alter the cell’s proliferation, differentiation, death, etc., in response to the modulation of membrane lipids. This lipid modulation enables therapeutic interventions known as membrane-lipid therapy (MLT) or melitherapy.

This entry is adapted from the peer-reviewed paper 10.3390/ijms21072322

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