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. 2019 Nov 28;2020(16):2321–2329. doi: 10.1002/ejoc.201901353

Development of Glucose Transporter (GLUT) Inhibitors

Elena S Reckzeh 1,2, Herbert Waldmann 1,2,
PMCID: PMC7217229  PMID: 32421048

Abstract

The discovery of novel compound classes endowed with biological activity is at the heart of chemical biology and medicinal chemistry research. This enables novel biological insights and inspires new approaches to the treatment of diseases. Cancer cells frequently exhibit altered glycolysis and glucose metabolism and an increased glucose demand. Thus, targeting glucose uptake and metabolism may open up novel opportunities for the discovery of compounds that differentiate between normal and malignant cells. This review discusses the different chemical approaches to the development of novel inhibitors of glucose uptake through facilitative glucose transporters (GLUTs), and focusses on the most advanced and potent inhibitor classes known to date. GLUT inhibitors may find application not only in the treatment of cancer, but also of other proliferative diseases that exhibit glucose addiction.

Keywords: Antitumor agents, Cancer, GLUT inhibitors, Natural products, Virtual screening


Potent glucose transporter (GLUT) inhibitors have been developed over the last years. This Minireview serves as an overview of the origin (natural products, natural product‐inspired, non‐natural compounds, and virtual screening) of these molecules.

graphic file with name EJOC-2020-2321-g011.jpg

1. Introduction

Bioactive small molecules are the cornerstones of medicinal chemistry and chemical biology research and continue to define a large fraction of most recently approved drugs, e.g. the PI3K inhibitor Piqray (Alpelisib) for the combinatorial treatment of breast cancer.1 Among all drugs, natural products (NPs) hold a strong position, both historically and currently. NPs define the naturally occurring, biologically relevant chemical space and have inspired numerous concepts for the identification of bioactive compounds, including Biology‐oriented synthesis (BIOS)2 or the design and synthesis of pseudo‐natural products (for a discussion of the different NP‐based approaches see ref3).

There is a continuous demand for the identification of new biological targets for the treatment of diseases. This holds true in particular for the treatment of cancer, since cancer cells often rapidly adapt and resist to given drugs. In this respect, very recently the discovery of new compound classes that target mechanisms of tumor metabolism has spurred new research programs. This approach has had remarkable success with the clinical approval of the drug Idhifa (Enasidenib, Agios Pharmaceuticals/Celgene) in 2017, which targets a mutated form of isocitrate dehydrogenase (IDH) 2 for the treatment of relapsed/refractory acute myeloid leukemia (AML).4

Differentiated somatic cells perform cellular respiration, an oxygen‐dependent mitochondrial metabolic pathway, and generate thereby about 36 mol ATP per mole consumed glucose (Figure 1a).5 The adapted metabolism of cancer cells was first described by Otto Warburg in 1924.6 Warburg observed that cancer cells perform primarily glycolysis and fermentation of pyruvate to lactate in the presence of oxygen, which generates about 9‐fold less mol ATP per mol glucose (Figure 1b). Since glycolysis fuels biosynthetic pathways and thereby drives cell proliferation, interfering with glycolysis offers a promising strategy to restrict the energy and substrate supply for biosynthesis and hence cell proliferation.7 Addressing the first rate‐limiting step, i.e. glucose uptake, may, therefore, be a viable opportunity to initiate new medicinal chemistry programs aimed at the treatment of cancer and other diseases, which are characterized by hyperproliferation (for more details see Reckzeh et al.8). For glucose uptake, both normal cells and cancer cells employ facilitative transmembrane transporters termed GLUTs. Here we summarize the discovery of the currently most potent and advanced (IC50 < 1 µm) GLUT inhibitors (for an overview of more GLUT inhibitors regardless of their potency please refer to Granchi et al.9). Both NP‐derived and NP‐inspired as well as non‐NP based inhibitors are discussed.

Figure 1.

Figure 1

The Warburg effect. The preferred pathway for glucose metabolism in differentiated cells (a) and proliferative tissue (b). GLUT=facilitative glucose transporters; TCA=tricarboxylic acid cycle; OXPHOS=oxidative phosphorylation. Adapted from Reckzeh et al.8

2. Discovery of Novel GLUT Inhibitors

Facilitative glucose transporters (GLUTs) are transmembrane proteins that passively transport glucose or other substrates following the prevalent concentration gradient across the cell membrane. All GLUTs have a distinct expression pattern within the human organism and fulfil important and distinct functions regarding glucose homeostasis (Figure 2b). The GLUTs are subdivided into three different classes, according to their amino acid similarity (Figure 2a). Class I GLUTs 1–4 have been investigated most intensively.10 The different isoforms are upregulated in cancer and other diseases. Especially GLUT‐1, but also GLUT‐3, are overexpressed in most malignant tissues. To address the glucose dependence of cancer, the application of GLUT inhibitors has been proposed as a promising approach.

Figure 2.

Figure 2

Phylogenetic GLUT similarity and functional role. a) Amino acid sequence similarities between GLUT isoforms 1–14 as obtained by CLUSTAL multiple alignment. Adapted from Scheepers et al.10 b) Main expression side, function and preferred substrate of GLUT class I–III.11 Glc = glucose, 2‐DG = 2‐deoxy‐D‐glucose, GlcN = glucosamine, Fru = fructose, Tre = trehalose, HMIT = Proton myo‐inositol cotransporter.

To identify compounds that directly inhibit a protein of interest, assay systems that monitor the protein's activity in a minimal setup (e.g. only the expressed protein) are the method of choice.12 However, glucose transporters are transmembrane proteins that possess 12 transmembrane helices, which makes their expression and purification an unattractive endeavor. Therefore, most inhibitors of glucose transporters have been identified in cell‐based screens either in a direct fashion or indirect process (Figure 3). For direct monitoring of glucose uptake in cellulo 2‐deoxy‐d‐glucose (2‐DG) is employed, which can only be phosphorylated intracellularly by hexokinase in the 6‐position. The corresponding 6‐phosphate cannot be metabolized further and is therefore trapped inside the cell (Figure 3). For quantification, 2‐DG is radioactively labeled using tritium or 14C (Table 1). This method was applied to identify the inhibitory potential of cytochalasin B,13 glucopiercidin A,14 WZB11715 and compound 15516 (Figure 4, Figure 5, Table 1).

Figure 3.

Figure 3

Overview of different assay principles to identify GLUT inhibitors. Glucose or 2‐DG is taken up by the cell via GLUTs and directly quantified using isotope labeling or indirectly quantified by means of enzyme‐coupled reduction of resazurin to resorufin or by quantification of the glycolytic ATP production via simultaneous treatment with inhibitors of oxidative phosphorylation (e.g. rotenone or oligomycin). Virtual screening may be performed using the crystal structure or homology models of GLUTs. GLUT = facilitative glucose transporters; TCA = tricarboxylic acid cycle; OXPHOS=oxidative phosphorylation.

Table 1.

Overview of a selection of highly potent glucose uptake inhibitors

Name Entity Compound class Assay (Cell line) IC50 (nM)
Cytochalasin B13 Natural product Alkaloid, fungal metabolite 14C‐2DG uptake (erythrocytes) 520
Glucopiericidin A14 Natural product Glucose analog 3H‐2DG uptake, (A431) 22
WZB11715 Small molecule Polyphenol 3H‐2DG uptake, (A459) 500
Compound 15516 Small molecule Imidazopyridine 3H‐2DG uptake, (HEK293,, hGLUT1a) ~30
GLUT‐i122, GLUT‐i222 Peptide analog Phenyl amide ATP depletionb, 267,
(CHO‐K1, hGLUT‐1a, luciferasec) 140
Compound 3[20a] Small molecule Pyrazolopyrimidine ATP depletionb, d, (DLD‐1) 25
BAY‐876[21a] Small molecule Quinoline ATP depletionb, d, (DLD‐1) 2
Example 3123 Small molecule Dihydrofuropyrimidine ATP depletiond, e, (HT1080) 10‐100
PUG‐125 Small molecule Hypoxanthine 3H‐2DG uptake, (CHO, hGLUT‐1b) 450
Chromopynone‐117 Pseudo‐NP Chromane‐tetrahydropyriminones 2‐DG uptakef, (HCT116) 412
Glutor19 Small molecule Piperazin‐2‐one 2‐DG uptakef, (HCT116) 11
Glupin18 Pseudo‐NP Indomorphan 2‐DG uptakef, (MDA‐MB‐231) 4
NV‐544038 Small molecule Bis‐piperazin‐1‐ylmethyl‐benzene 3H‐2DG uptake, (MCF7) 36
a

Stable transfection.

b

Rotenone.

c

Constitutive expression.

d

CellTiter‐Glo®.

e

Oligomycin.

f

Resazurin‐coupled.

Figure 4.

Figure 4

Natural products with GLUT‐inhibiting activity and natural product‐inspired GLUT inhibitors.

Figure 5.

Figure 5

Examples for BIOS32 and pseudo natural product design17, [33c] starting from an indole.

The amount of intracellular 2‐DG that was transported via GLUTs can also be monitored indirectly, e.g. by coupling to an enzymatic reaction that leads to the generation of a fluorescence signal, e.g. resorufin generation (Table 1, Figure 3, identification of chromopynone‐1,17 glupin18 and glutor19). The resazurin‐resorufin detection system acts via two supplemented enzymes. The first enzyme glucose‐6‐phosphate‐dehydrogenase oxidizes 2‐DG‐6‐phosphate to 6‐phospho‐2‐deoxyglucoronic acid and thereby generates NADPH+H+. The second enzyme diaphorase uses the generated NADPH+H+ to reduce the dye resazurin to the fluorophore resorufin. Spectrometric analysis of the emission intensity of resorufin is used to estimate the amount of consumed 2‐DG.

Cellular glucose supply has also been quantified indirectly by monitoring the glycolytic ATP generation using CellTiter Glo® or transfected luciferase (Table 1, Figure 3, identification of compound 3,20 BAY‐876,21 GLUT‐i1/‐i222 and example 3123). For this purpose, the simultaneous treatment of the cells with rotenone or oligomycin, which are known inhibitors of oxidative phosphorylation, limits the cellular ATP generation to the glycolytic pathway.

Virtual screening offers an additional possibility for in silico discovery of GLUT inhibitors. The crystal structures of hGLUT‐1 (inward‐open conformation) and hGLUT‐3 (outward‐open conformation) were solved by Deng et al.24 Homology models of hGLUT‐1–4 have been described and were used for virtual screening of GLUT inhibitors (Table 1, Figure 3, identification of PUG‐125).25, 26

3. Natural Product GLUT Inhibitors

Cytochalasin B (Figure 4) is a fungal metabolite that is widely known for inhibition of actin polymerization.27 In 1972, Ebstensen et al. observed that cytochalasin B inhibits the uptake of 14C‐2‐DG and its incorporation in lactate with an IC50 value <4 µm.13 Moreover, the uptake of 14C‐2‐DG into erythrocytes is inhibited with an IC50 value of 0.52 µm (Table 1).28 Since then, this natural product often served as a positive control for glucose uptake inhibition. However, cytochalasin B was not developed further due to its primary inhibitory activity on actin polymerization.

A large class of natural products that reduce the uptake of glucose is the class of flavonoids. Phloretin was the first flavonoid that was observed to bind GLUT‐1 in a competitive manner in 1957.29 Since then, 15 structurally distinct flavonoids were described to bind to GLUT or inhibit glucose consumption (see e.g. Granchi et al.9). However, all flavonoid analogs exhibit low potency in the micromolar range, which limits their applicability as tool compounds. Other natural products that were described to block glucose uptake, also with micromolar potency, are gossypol, curcumin, resveratrol, different methylxanthines, (+)‐cryptocaryone, different ellagic acid derivatives and melatonin (see e.g. Granchi et al.9). The only natural product that inhibits 2‐DG uptake in the nanomolar range is glucopiericidin A (IC50 = 22 nm, Figure 4, Table 1).14 Glucopiericidin A was isolated from the broth of Lechevalieria sp. strain 1869–19 which had been found to inhibit filopodia protrusion. The strong inhibition of glucose uptake includes most probably the glucose moiety within glucopiericidin A, since the deglycosylated analog piericidin A is a known inhibitor of mitochondrial complex I.30 Glucopiercidin A inhibits the function of GLUT‐1 and GLUT‐4.14

4. Natural Product‐Inspired GLUT Inhibitors

Natural products are pre‐validated by nature for their biological activity and compound classes inspired by natural products may share this relevance. One concept to generate such compounds is biology‐oriented synthesis (BIOS). In BIOS, the complexity of a natural product is reduced in order to render it synthetically more accessible but keeping the kind of bioactivity of the guiding NP (Figure 5).2, 31 The principle has been applied successfully multiple times for the discovery of new bioactive chemical matter as illustrated with the example of yohimbine (Figure 5). However, GLUT inhibitors have not been derived from this concept.32

The BIOS concept has been expanded to cover larger areas of chemical space by combining it with fragment‐based compound design, to arrive at the design and synthesis of pseudo‐natural products (Figure 5).3, 17, 18, 33 In this approach NPs are reduced to fragments which still represent the properties of the guiding NPs, and fragments of different natural products then are combined de novo to yield novel combinations not occurring in nature. In contrast to BIOS, this approach is not meant to keep the original biological activity of the natural product,34 but to explore novel biologically relevant chemical space by combining different pre‐validated scaffolds. Hence, the combination of an indole fragment with a morphan leads to a scaffold with GLUT inhibitory properties (glupin, Figure 4, Figure 5), whereas the combination with a tropane fragment generates a compound scaffold active against myosin light chain kinase MLCK (Figure 5).18, [33c] Additionally, the application of this concept recently led to the identification of the novel GLUT inhibitor chemotype chroman‐tetrahydropyriminone (chromopynone‐1, Figure 4).17, 18

The chroman‐tetrahydropyriminone‐based chromopynone‐1 potently inhibits the uptake of 2‐DG in the colorectal cancer cell line HCT116 with an IC50 of 414 nm as determined via a resazurin‐coupled detection system (Figure 3, Figure 4, Table 1).17 It selectively targets the GLUT isoforms GLUT‐1 and GLUT‐3, since overexpression of GLUT‐1 and GLUT‐3, but not GLUT‐2 and GLUT‐4, lead to a partial rescue of 2‐DG uptake inhibition in transiently transfected CHO cells (Chinese hamster ovary).17 The proliferation of HCT116 cells and MIA PaCa‐2 cells (pancreatic carcinoma) was reduced with a GI50 value of >25 µm and 2.8 µm in the presence of 25 mm glucose, respectively. At physiological glucose concentrations (5 mm glucose), the GI50 values were lowered to 3.8 µm (HCT116) and 0.6 µm (MIA PaCa‐2).17 The synthesis of chromopynone‐1 was achieved employing a modified Biginelli multicomponent reaction, which was coupled to a stepwise intramolecular nucleophilic attack, ester hydrolysis, and decarboxylation, requiring only one final purification step (Scheme 1).17

Scheme 1.

Scheme 1

Synthesis of chromopynone‐1 and derivatives. (i) urea (1 equiv.), aldehyde (1 equiv.), 1,3‐dicarbonyl compound (1.5 equiv.), TMSCl (6 equiv.), DMF, r.t., 18 h; (ii) NaHCO3, MeOH/H2O, 40 °C, 16 h; (iii) LiOH (15 equiv.), THF/H2O, 40 °C, 18 h; (iv) 1 m HCl, pH 1–2, 80 °C, 6 h. Synthetic scheme adapted from Karageorgis et al.17

The second pseudo natural product class that blocks glucose uptake by cancer cells is the class of indomorphans with their most potent member glupin (Figure 4). Glupin blocks the uptake of 2‐DG in the breast adenocarcinoma cell line MDA‐MB‐231 cells with an IC50 value of 4 nm (Table 1) via interaction with GLUT‐1 and GLUT‐3 (but not GLUT‐2 and GLUT‐4).18 Selectivity was determined in transiently overexpressing CHO cells. The inhibition of glucose uptake led to reduced glycolytic flux in MDA‐MB‐231 cells and furthermore a reduction of glycolytic metabolites in MOLT16 cells (T cell leukemia) as determined by means of metabolomic measurements.18 The growth of non‐malignant peripheral blood mononucleated cells and the embryonic kidney cell line IMR‐90 was not impeded after 72 h of glupin treatment (30 µm glupin, sulforhodamine B assay).18 However, proliferation of a variety of different cancer cell lines was reduced with IC50 values in the nanomolar to micromolar range.18

The peptide analogs GLUT‐i1 and GLUT‐i2 (Figure 4) are potent GLUT‐1/‐4 (and not GLUT‐2/‐3) inhibitors that were discovered by Kapoor et al. in a cellular ATP depletion assay using CHO‐K1 cells that were transfected with hGLUT‐1 and luciferase and simultaneously treated with the mitochondrial complex I inhibitor rotenone (Figure 3).22 GLUT‐i1 and GLUT‐i2 deplete the glycolytic generation of ATP with an IC50 value of 267 nm and 140 nm respectively (Table 1).22 GLUT isoform selectivity was determined by employing the colorectal adenocarcinoma cell line DLD‐1 cells (express mainly GLUT‐1), DLD‐1 GLUT1(–/–) cells (express mainly GLUT‐3) and CHO cells that were stably transfected with hGLUT‐2 or hGLUT‐4.22 The effect of this compound class on (cancer) cell growth was not determined. However, co‐crystal structures revealed that GLUT‐i1 competes with glucose at the same binding site in human GLUT‐1.22

5. Non‐Natural GLUT Inhibitors

WZB117 (Figure 6) was identified from a compound class with antidiabetic properties.15, 35 Its inhibitory activity towards 3H‐2‐DG uptake was discovered using the lung carcinoma cell line A549 (IC50 = 500 nm, Table 1), and led to the reduction of extracellular lactate and the cellular ATP levels after 6 h to 24 h of treatment.15 WZB117 acts via GLUT‐1, –3 and –4 as determined in GLUT‐1/‐3/‐4‐overexpressing HEK293 cells (embryonic kidney cell line), which were used to monitor the uptake of 3H‐2‐DG.36 Competitive inhibition of GLUT‐4 as the main target was proposed as mode of action.36 Furthermore, treatment with WZB117 interfered with the growth and the viability of A549 cells with IC50 values between 10 and 30 µm, while the non‐malignant cell line NL20 (lung epithelium) was resistant.15 The employment of xenograft models (A549) revealed a reduction of the tumor volume by 70 % after 10 weeks of daily intraperitoneal injection (10 mg/kg) when compared to untreated control mice.15

Figure 6.

Figure 6

Structures of selected non‐natural GLUT inhibitors.

In 2014, IOmet Pharma published the imidazopyridine‐based GLUT inhibitor class in a patent.16 The patent covers a collection of 385 compounds among which 59 derivatives were tested for their GLUT‐1–4 isoform selectivity. Most derivatives were unselective.16 Selectivity was determined in cHEK293 cells transiently overexpressing hGLUT‐1–4. Compound 155 (Figure 6) inhibits 3H‐2‐DG uptake in hGLUT‐1 transfected cHEK291 cells with an IC50 value of 30 nm (Table 1) and reduced the extracellular lactate level with an IC50 value of 90 nm in the presence of 5 mm glucose and of 400 nm in the presence of 17 mm glucose.16 Live‐cell imaging experiments were employed to determine the effect of treatment with compound 155 on proliferation employing a nuclear stain. After 24 h the A459 cell count was reduced with an IC50 value <126 nm at physiological glucose level (5 mm glucose).16 The effect on proliferation was weaker in the presence of 17 mm glucose (IC50 = 380 nm).16

Bayer published two compound classes in 2016 that lower the glucose uptake of cancer cells. Both were discovered in a cell‐based screen which monitors the glycolytic ATP depletion by means of a CellTiter‐Glo® assay in rotenone‐treated DLD‐1 cells (Figure 3). One inhibitor class is based on the 1H‐pyrazolo[3,4‐d]pyrimidine core scaffold.20 Compound 3 (Figure 6) induces glycolytic ATP depletion with an IC50 value of 25 nm (patent: example 1, Table 1).[20a] Compound 3 was selective for GLUT‐1/‐3 over GLUT‐2.[20a] Compound 3 was further characterized for its in vitro and in vivo pharmacokinetics.[20a]

The second compound class is based on the N‐(1H‐pyrazolo‐4‐yl)quinoline‐4‐carboxamide scaffold.21 The most active derivative BAY‐876 (Figure 6) reduces the glycolytic ATP production with an IC50 value of 2 nm (Table 1)[21a] and was the first compound with a strong GLUT isoform selectivity that targets GLUT‐1 but not GLUT‐2–4.[21a] BAY‐876 is a competitive inhibitor and possesses good in vitro and in vivo pharmacokinetics.[21a] Different reports about the potency of BAY‐876 to inhibit cell growth have appeared. Whereas Wu et al. could not observe an effect on the growth of different triple‐negative breast cancer cells (BT549, MDA‐MB‐436, HCC70) at 3 µm BAY‐876, Ma et al. reported inhibition of ovarian cancer growth with an IC50 value up to 60 nm in OVCAR3 cells.37 However, also the ovarian cancer cell line A2780 was resistant towards the treatment with BAY‐876.[37b] This indicates a cell line‐dependent sensitivity towards treatment with the GLUT‐1‐selective inhibitor. In SKOV‐3 (ovarian adenocarcinoma) xenograft mice, daily administration of 4.5 mg/kg BAY‐876 reduced the tumor volume by 68 % after two weeks.[37b]

Kadmon published a patent describing dihydrofuropyrimidine‐based GLUT inhibitors in 2015.23 The glycolytic ATP production of the oligomycin‐treated fibrosarcoma cell line HT1080 was inhibited by one compound (example 31, Figure 6) with an IC50 value between 10 and 100 nm (Table 1).23 Moreover, example 31 interfered with the growth of different cell lines (Jurkat (T cell lymphocytes), MOLT‐4 (T cell lymphoblast), U937 (histiocytic lymphoma)) with IC50 values between 256 nm and 385 nm as determined after 72 h of treatment employing a sulforhodamine B assay.23

Waldmann et al. discovered a piperazin‐2‐one‐based compound class employing a cell‐based assay, which monitors the uptake of 2‐DG in HCT116 cells employing a resazurin‐coupled detection system (Figure 3).19 Glutor (Figure 6), the most active compound, inhibits the uptake of 2‐DG with an IC50 value of 11 nm in a GLUT‐1/‐2/‐3‐selective manner (not GLUT‐4, Table 1).19 Selectivity was determined by employing transiently transfected CHO cells. Treatment of different cancer cells (HCT116, UM‐UC‐3 (urinary bladder carcinoma) and BxPC‐3 (pancreatic adenocarcinoma)) with 250 nm glutor reduced the glycolytic flux after 30 min of treatment.19 Furthermore, glutor interfered with growth of a multitude of different cancer cell lines, most of them in the nanomolar range.19 UM‐UC‐3 (IC50 = 4 nm) and MIA PaCa‐2 cells (IC50 = 4 nm) were most sensitive towards the treatment.19 Cell growth was monitored by means of a sulforhodamine B assay after 72 h of treatment. Non‐malignant peripheral blood mononucleated cells and IMR‐90 cells were not impeded in their growth behavior.19 Furthermore, glutor displayed increased toxicity in the center of HCT116‐derived spheroids, a physiologically more relevant cell culture model, with an EC50 value of 82 nm, whereas the EC50 value in monolayer cultured HCT116 cells was about two times higher (EC50 = 193 nm).19 The synthesis of glutor and derivatives employs a modified Ugi four‐component reaction (iii, Scheme 2) in which the bifunctional core scaffold (ketone, carboxylic ester) is generated in the first two reaction steps (iii, Scheme 2).

Scheme 2.

Scheme 2

Synthetic procedure to obtain Glutor and derivatives. i) 1‐Chloroacetone, K2CO3, 18‐crown‐6, 1,4‐dioxane, reflux, 12–72 h; ii) 1–2 % NaOH, H2O, 70 °C, 1 h; iii) MeOH, r.t.‐40 °C, 5–24 h.

While searching for tool compounds that selectively inhibit mTORC1, Kang et al. discovered bis‐piperazin‐1‐ylmethyl‐benzene‐based GLUT inhibitors.38 The most active compound NV‐5440 (Figure 6) reduces mTORC1 signaling in vitro and in vivoS by blocking cellular glucose uptake with an IC50 of 36 nm (Table 1).38 The molecular target of NV‐5440 was determined via SILAC experiments to be GLUT‐1.38 Further investigation confirmed the inhibition of glucose uptake in a GLUT‐1–4‐dependent manner while leaving GLUT‐5 unaffected.38 Glycolytic metabolites were reduced upon treatment with NV‐5440 as determined by employing metabolic flux analysis.38 The pharmacokinetic parameters were determined in vivo for NV‐5440 and the metabolically more stable derivative NV‐6297.38

The non‐natural compound PUG‐1 was identified in an in silico approach employing a homology model of hGLUT‐1 (based on the Escherichia coli xylose transporter XylE) (Figure 6). The compound was predicted to form multiple hydrogen bond interactions within the sugar‐binding site, among others with Trp388 (transmembrane helix 10). PUG‐1 is a hypoxanthine derivative, that inhibits the uptake of 3H‐2DG with an IC50 value of 450 nm (Table 1).25 However, no further data describing the inhibitory potential of PUG‐1 on e.g. cancer cell growth was obtained.

A structural comparison of the highly potent GLUT inhibitors discussed here reveals that most compounds possess aromatic and non‐aromatic nitrogen‐containing heterocycles with exception of WZB117 and GLUT‐i1/‐i2 (Figure 4, Figure 6). Furthermore, the structures of the discussed GLUT inhibitors contain 2 to 5 (multi‐) cyclic structures that are linked via alkyl groups or a single bond, which offers a certain degree of flexibility (with exception of cytochalasin B). However, the binding site is only known for cytochalasin B and GLUT‐i1/‐i2 and was located at the glucose‐binding site in the inward‐open conformation of hGLUT‐1.22 Overlaying the electron density maps of all three inhibitors reveals that the macrolide ring of cytochalasin B overlaps with the linkers between the three aromatic rings in GLUT‐i1 and GLUT‐i2. Cytochalasin B interacts with the hydrophobic residues Trp388 (transmembrane helix 10), Trp412 (transmembrane helix 11) and Asn411 (transmembrane helix 11) and interacts with Thr137 and Trp388 via hydrogen bond interactions. The hydrophobic interaction with Trp388, Asn411, and Trp412 are also the key binding determinants for GLUT‐i1 and GLUT‐i2. Further major π–π interactions were observed between GLUT‐i1 and Trp388 as well as Phe379. Common π–π interactions between GLUT‐i1 and GLUT‐i2 that are not shared with cytochalasin B are formed with His160 (transmembrane helix 5).22 Direct conclusions for future inhibitor design, therefore, cannot be drawn from the selected structures of the previously developed inhibitors. However, since all described inhibitors, as well as the substrate glucose itself, interact with Trp388 in the inward‐open conformation of hGLUT‐1, this might offer a potential starting point for the in silico design of future GLUT inhibitors.

6. Summary and Outlook

This review gives an overview of the discovery of the currently most advanced and most potent GLUT inhibitors and their origin. GLUT inhibitors are gaining attention in addressing the glucose dependency in cancer and other diseases and may offer novel opportunities for future medicinal chemistry programs.

Further preclinical validation of selected GLUT inhibitors, which may be based on the compound classes described here, will validate their use as tool compounds and potential therapeutics. However, there is still an unmet need for the development of tool compounds that selectively address the more uncharacterized class II and III GLUTs in order to elucidate the function of these isoforms.

Acknowledgements

Research at the Max Planck Institute of Molecular Physiology was supported by the Max Planck Society and the European Research Council under the European Union's Seventh Framework Program (FP7/2007‐2013, ERC Grant agreement no. 268309).

Biographies

Elena S. Reckzeh (née Heider), born in Hilden (Germany), completed her Bachelor degree in Molecular Biomedicine at the University of Bonn in 2012 and the Master degree in Chemical Biology at TU Dortmund University in 2014. She obtained her PhD in Chemical Biology at the Max Planck Institute of Molecular Physiology in Dortmund under the guidance of Herbert Waldmann. Her work comprised the synthesis and biological evaluation of novel glucose transporter inhibitors.

graphic file with name EJOC-2020-2321-g001.gif

Herbert Waldmann was born in Neuwied (Germany) and studied chemistry at the University of Mainz. He obtained his PhD in Organic Chemistry at the University of Mainz in 1985 under the supervision of Horst Kunz. After a postdoctoral period at Harvard University in the group of George Whitesides, he returned to Mainz where he completed his habilitation in 1991. He was appointed as director at the Max Planck Institute Dortmund and professor of Organic Chemistry at TU Dortmund University in 1999. His research focuses on the syntheses of (natural product‐derived) compounds and their biological evaluation.

graphic file with name EJOC-2020-2321-g002.gif

References

  • 1.FDA – U. S. Food & Drug Administration, https://www.fda.gov/drugs/new-drugs-fda-cders-new-molecular-entities-and-new-therapeutic-biological-products/novel-drug-approvals-2019, Accessed 05.09.2019.
  • 2. van Hattum H. and Waldmann H., J. Am. Chem. Soc, 2014, 136, 11853–11859. [DOI] [PubMed] [Google Scholar]
  • 3. Karageorgis G., Laraia L., Foley D., Waldmann H., Nat. Chem. 2019, in press. [DOI] [PubMed]
  • 4. Galkin M. and Jonas B. A., Core Evid, 2019, 14, 3–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Vander Heiden M. G., Cantley L. C. and Thompson C. B., Science, 2009, 324, 1029–1033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Warburg O., Die Naturwissenschaften, 1924, 12, 1131–1137. [Google Scholar]
  • 7. Vander Heiden M. G., Nat. Rev. Drug Discovery, 2011, 10, 671–684. [DOI] [PubMed] [Google Scholar]
  • 8. Waldmann H. and Reckzeh E. S., ChemBioChem 2019, DOI: 10.1002/cbic.201900544. [DOI] [Google Scholar]
  • 9. Granchi C., Fortunato S. and Minutolo F., Med. Chem. Commun, 2016, 7, 1716–1729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Scheepers A., Joost H. G. and Schurmann A., JPEN J. Parenter. Enteral Nutr, 2016, 28, 364–371. [DOI] [PubMed] [Google Scholar]
  • 11.a) Szablewski L., in: Glucose Homeostasis and Insulin Resistance, Bentham Science Publishers Ltd., Sharjah, U. A. E. 2012; [Google Scholar]; b) Thorens B., Am. J. Physiol. Gastrointest. Liver Physiol, 1996, 270, G541–G553; [DOI] [PubMed] [Google Scholar]; c) Maedera S., Mizuno T., Ishiguro H., Ito T., Soga T. and Kusuhara H., FEBS Lett, 2019, 593, 195–208; [DOI] [PubMed] [Google Scholar]; d) Mayer A. L., Higgins C. B., Heitmeier M. R., Kraft T. E., Qian X., Crowley J. R., Hyrc K. L., Beatty W. L., Yarasheski K. E., Hruz P. W. and DeBosch B. J., Sci. Rep, 2016, 6, 38586; [DOI] [PMC free article] [PubMed] [Google Scholar]; e) Mueckler M. and Thorens B., Mol. Aspects Med, 2013, 34, 121–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Lehar J., Stockwell B. R., Giaever G. and Nislow C., Nat. Chem. Biol, 2008, 4, 674–681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Ebstensen R. D. and Plagemann P. G., Proc. Natl. Acad. Sci. USA, 1972, 69, 1430–1434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Kitagawa M., Ikeda S., Tashiro E., Soga T. and Imoto M., Chem. Biol, 2010, 17, 989–998. [DOI] [PubMed] [Google Scholar]
  • 15. Liu Y., Cao Y., Zhang W., Bergmeier S., Qian Y., Akbar H., Colvin R., Ding J., Tong L., Wu S., Hines J. and Chen X., Mol. Cancer Ther, 2012, 11, 1672–1682. [DOI] [PubMed] [Google Scholar]
  • 16. Cowley P. M., Wise A., Brown T. J., Isherwood M., Chakrabarti A. (IOMET PHARMA LTD.), WO2014/187922, 2014.
  • 17. Karageorgis G., Reckzeh E. S., Ceballos J., Schwalfenberg M., Sievers S., Ostermann C., Pahl A., Ziegler S. and Waldmann H., Nat. Chem, 2018, 10, 1103–1111. [DOI] [PubMed] [Google Scholar]
  • 18.a) Ceballos J., Schwalfenberg M., Karageorgis G., Reckzeh E. S., Sievers S., Ostermann C., Pahl A., Sellstedt M., Nowacki J., Corrales M. A. Carnero, Wilke J., Laraia L., Tschapalda K., Metz M., Sehr D. A., Brand S., Winklhofer K., Janning P., Ziegler S. and Waldmann H., Angew. Chem. Int. Ed. 2019, 10.1002/anie.201909518; [DOI] [Google Scholar]; Angew. Chem. 2019, 131, 10.1002/ange.201909518; [DOI] [Google Scholar]; b) Ceballos J., Schwalfenberg M., Karageorgis G., Reckzeh E. S., Sievers S., Ostermann C., Pahl A., Sellstedt M., Nowacki J., Corrales M. A. Carnero, Wilke J., Laraia L., Tschapalda K., Metz M., Sehr D. A., Brand S., Winklhofer K., Janning P., Ziegler S. and Waldmann H., Angew. Chem. Int. Ed. 2019, 58, 10.1002/anie.201909518; [DOI] [PMC free article] [PubMed] [Google Scholar]; Angew. Chem. 2019, DOI: 10.1002/ange.201909518. [DOI] [Google Scholar]
  • 19. Reckzeh E. S., Karageorgis G., Schwalfenberg M., Ceballos J., Nowacki J., Stroet M. C. M., Binici A., Knauer L., Brand S., Choidas A., Strohmann C., Ziegler S. and Waldmann H., Cell Chem. Biol. 2019, 26, 1214–1228 e1225. [DOI] [PubMed] [Google Scholar]
  • 20.a) Siebeneicher H., Bauser M., Buchmann B., Heisler I., Müller T., Neuhaus R., Rehwinkel H., Telser J. and Zorn L., Bioorg. Med. Chem. Lett, 2016, 26, 1732–1737; [DOI] [PubMed] [Google Scholar]; b) Heisler I., Müller T., Golz S., Telser J., Rehwinkel H., Siebeneicher H., Buchmann B., Zorn L., Eis K., Koppitz M., Lindner N., Héroult M., Neuhaus R. (Bayer AG), WO2013/182612 A1, 2013.
  • 21.a) Siebeneicher H., Cleve A., Rehwinkel H., Neuhaus R., Heisler I., Müller T., Bauser M. and Buchmann B., ChemMedChem, 2016, 11, 2261–2271; [DOI] [PMC free article] [PubMed] [Google Scholar]; b) Buchmann B., Heisler I., Müller T., Cleve A., Héroult M., Neuhaus R., Petrul H. (Bayer AG), WO2016/012474 A1, 2016.
  • 22. Kapoor K., Finer‐Moore J. S., Pedersen B. P., Caboni L., Waight A., Hillig R. C., Bringmann P., Heisler I., Müller T., Siebeneicher H. and Stroud R. M., Proc. Natl. Acad. Sci. USA, 2016, 113, 4711–4716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Olszewski K., Kim J.‐I., Poyurovsky M., Liu K., Barsotti A., Morris K. (Kadmon Holdings, Inc.), WO2016/210330 A1, 2016.
  • 24.a) Deng D., Sun P., Yan C., Ke M., Jiang X., Xiong L., Ren W., Hirata K., Yamamoto M., Fan S. and Yan N., Nature, 2015, 526, 391–396; [DOI] [PubMed] [Google Scholar]; b) Deng D., Xu C., Sun P., Wu J., Yan C., Hu M. and Yan N., Nature, 2014, 510, 121–125. [DOI] [PubMed] [Google Scholar]
  • 25. Ung P. M., Song W., Cheng L., Zhao X., Hu H., Chen L. and Schlessinger A., ACS Chem. Biol, 2016, 11, 1908–1916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Thompson A. M. G., Ursu O., Babkin P., Iancu C. V., Whang A., Oprea T. I. and Choe J. Y., Sci. Rep, 2016, 6, 24240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. MacLean‐Fletcher S. and Pollard T. D., Cell, 1980, 20, 329–341. [DOI] [PubMed] [Google Scholar]
  • 28. Kasahara T. and Kasahara M., Biochem. J. 1996, 315 (Pt 1), 177–182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.a) Rosenberg T. and Wilbrandt W., Helv. Physiol. Pharmacol. Acta, 1957, 15, 168–176; [PubMed] [Google Scholar]; b) Lefevre P. G. and Marshall J. K., J. Biol. Chem, 1959, 234, 3022–3026. [PubMed] [Google Scholar]
  • 30.a) Hall C., Wu M., Crane F. L., Takahashi H., Tamura S. and Folkers K., Biochem. Biophys. Res. Commun, 1966, 25, 373–377; [DOI] [PubMed] [Google Scholar]; b) Gutman M., Singer T. P., Beinert H. and Casida J. E., Proc. Natl. Acad. Sci. USA, 1970, 65, 763–770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Basu S., Ellinger B., Rizzo S., Deraeve C., Schurmann M., Preut H., Arndt H. D. and Waldmann H., Proc. Natl. Acad. Sci. USA, 2011, 108, 6805–6810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Nören‐Müller A., Reis‐Corrêa I. Jr, Prinz H., Rosenbaum C., Saxena K., Schwalbe H. J., Vestweber D., Cagna G., Schunk S., Schwarz O., Schiewe H. and Waldmann H., Proc. Natl. Acad. Sci. USA, 2006, 103, 10606–10611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.a) Christoforow A., Wilke J., Binici A., Pahl A., Ostermann C., Sievers S. and Waldmann H., Angew. Chem. Int. Ed. 2019, 10.1002/anie.201907853; [DOI] [PMC free article] [PubMed] [Google Scholar]; Angew. Chem. 2019, 131, 10.1002/ange.201907853; [DOI] [Google Scholar]; b) Christoforow A., Wilke J., Binici A., Pahl A., Ostermann C., Sievers S. and Waldmann H., Angew. Chem. Int. Ed. 2019, 58, 10.1002/anie.201907853; [DOI] [PMC free article] [PubMed] [Google Scholar]; Angew. Chem. 2019, 10.1002/ange.201907853; [DOI] [Google Scholar]; c) Schneidewind T., Kapoor S., Garivet G., Karageorgis G., Narayan R., Vendrell‐Navarro G., Antonchick A. P., Ziegler S. and Waldmann H., Cell Chem. Biol. 2019, 26, 512–523 e515. [DOI] [PubMed] [Google Scholar]
  • 34. Over B., Wetzel S., Grutter C., Nakai Y., Renner S., Rauh D. and Waldmann H., Nat. Chem, 2013, 5, 21–28. [DOI] [PubMed] [Google Scholar]
  • 35. Zhang W., Liu Y., Chen X. and Bergmeier S. C., Bioorg. Med. Chem. Lett, 2010, 20, 2191–2194. [DOI] [PubMed] [Google Scholar]
  • 36. Ojelabi O. A., Lloyd K. P., Simon A. H., De Zutter J. K. and Carruthers A., J. Biol. Chem, 2016, 291, 26762–26772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.a) Wu Q., Heidenreich D., Zhou S., Ackloo S., Krämer A., Nakka K., Lima‐Fernandes E., Deblois G., Duan S., Vellanki R. N., Li F., Vedadi M., Dilworth J., Lupien M., Brennan P. E., Arrowsmith C. H., Müller S., Fedorov O., Filippakopoulos P. and Knapp S., Nat. Commun, 2019, 10, 1915; [DOI] [PMC free article] [PubMed] [Google Scholar]; b) Ma Y., Wang W., Idowu M. O., Oh U., Wang X. Y., Temkin S. M. and Fang X., Cancers, 2018, 11, 33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Kang S. A., O'Neill D. J., Machl A. W., Lumpkin C. J., Galda S. N., Sengupta S., Mahoney S. J., Howell J. J., Molz L., Hahm S., Vlasuk G. P. and Saiah E., Cell Chem. Biol. 2019, 26, 1203–1213 e1213. [DOI] [PubMed] [Google Scholar]

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