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Anticancer a-Helical Peptides and Structure Function Relationships Underpinning Their Interactions

Anticancer a-Helical Peptides and Structure  Function Relationships Underpinning Their Interactions
Anticancer a-Helical Peptides and Structure  Function Relationships Underpinning Their Interactions

Current Protein and Peptide Science, 2006, 7, 487-499487

1389-2037/06 $50.00+.00

? 2006 Bentham Science Publishers Ltd.Anticancer α-Helical Peptides and Structure / Function Relationships Un-derpinning Their Interactions with Tumour Cell Membranes

Sarah R. Dennison 1, Michelle Whittaker 1, Frederick Harris 2 and David A. Phoenix 1,*

1Faculty of Science, University of Central Lancashire, Preston, PR1 2HE, England, UK; 2Department of Forensic and Investigative Science, University of Central Lancashire, Preston, PR1 2HE, England, UK

Abstract: Cancer is a major cause of premature death and there is an urgent need for new anticancer agents with novel

mechanisms of action. Here we review recent studies on a group of peptides that show much promise in this regard, ex-

emplified by arthropod cecropins and amphibian magainins and aureins. These molecules are α-helical defence peptides,

which show potent anticancer activity (α-ACPs) in addition to their established roles as antimicrobial factors and modu-

lators of innate immune systems. Generally, α-ACPs exhibit selectivity for cancer and microbial cells primarily due to

their elevated levels of negative membrane surface charge as compared to non-cancerous eukaryotic cells. The anticancer

activity of α-ACPs normally occurs at micromolar levels but is not accompanied by significant levels of haemolysis or

toxicity to other mammalian cells. Structure / function studies have established that architectural features of α-ACPs such

as amphiphilicty levels and hydrophobic arc size are of major importance to the ability of these peptides to invade cancer

cell membranes. In the vast majority of cases the mechanisms underlying such killing involves disruption of mitochon-

drial membrane integrity and / or that of the plasma membrane of the target tumour cells. Moreover, these mechanisms do

not appear to proceed via receptor-mediated routes but are thought to be effected in most cases by the carpet / toroidal

pore model and variants. Usually, these membrane interactions lead to loss of membrane integrity and cell death utilising

apoptic and necrotic pathways. It is concluded that that α-ACPs are major contenders in the search for new anticancer

drugs, underlined by the fact that a number of these peptides have been patented in this capacity.

INTRODUCTION

Cancer is the most prevalent cause of premature death in

the Western world [1] and the incidence of the condition is

rising, especially in cases such as prostate cancer [2] and

childhood leukaemia [3]. It is generally accepted that envi-

ronmental factors, such as tobacco smoking and infections,

coupled to physiological predisposition, such as inherited

oncogenes, hormonal imbalance and autoimmune disorders,

may precipitate the onset of a cancerous condition. However,

the biochemical mechanisms associated with carcinogenesis

are not fully understood and despite extensive research pro-

grammes, an effective cure is lacking for many cancers and

the treatments that are available are frequently inadequate for

full recovery of the patient [4]. Some progress has been

made in that it is often possible to increase the life expec-

tancy and the quality of life for cancer patients by employing

drug therapy and / or surgery with a view to remission and /

or palliation [5]. Current effective cancer treatment modali-

ties include surgery, radiotherapy, and cytostatic chemother-

apy and to capitalise on the advantages of each treatment

modality whilst keeping the disadvantages to a minimum,

multi-modal therapy is usually most efficacious [6].

The majority of drugs used in anticancer chemotherapies

tend to exhibit activity against proliferating cells by inhibit-

ing nucleic acid synthesis. However, at the concentrations

required to control tumour growth, most chemotherapeutic *Author correspondence to this author at the Faculty of Science, University

of Central Lancashire, Preston, PR1 2HE, England, UK; Tel: +1772

893481; Fax: +1772 894981; E-mail: daphoenix@https://www.doczj.com/doc/bb9965141.html, agents also affect healthy cells thereby causing undesirable side effects [7]. Treatment is further complicated by the fact that in the long term, tumours can gradually acquire resis-tance to therapeutic drugs. This resistance may be due to one or more factors: only low concentrations of drug may be able to reach the centre of the tumour; only a small proportion of the target tumour cells may be in a susceptible state for treatment, for example in the case of drugs that are cell cycle dependent or where the tumour cells may express proteins that endow the tumour with biochemical resistance mecha-nisms to the drug. In the latter case the tumour cell is often capable of pumping therapeutic drugs out of the cells using multi-drug resistant proteins [8]. Resistance is therefore a major problem to the success of a cancer treatment and the panacea for the condition would be a new family of drugs that acts exclusively on cancer cells and is not prone to common effectors of multi-drug resistance [9].ANTICANCER PEPTIDES Over the last decade, it has become increasingly clear that many defence peptides possess anticancer activity [10-12]. These peptides play a crucial role as antimicrobial agents in the innate immune systems of organisms ranging from insects to mammals [13-21] although there is increas-ing evidence that they have a diverse range of functions in modulating immunity, which have an impact on infections and inflammation [22]. In their antimicrobial capacity, de-fence peptides have been found to be active against fungi,viruses, parasites and protozoa in addition to Gram-positive and Gram-negative bacteria [17, 23-28]. Extensive studies on the antimicrobial action of defence peptides have shown

488 Current Protein and Peptide Science, 2006, Vol. 7, No. 6Dennison et al.

that they all exhibit membrane interactive properties and whilst some appear to attack intracellular targets, in most cases, direct attack on the microbial membrane itself is the primary killing mechanism used by these peptides [29, 30]. The current view is that the anticancer activity of defence peptides also primarily derives from the membrane interac-tive abilities of these peptides and involves invasion of the mitochondrial membrane and / or the plasma membrane of cancer cells [10-12].

To facilitate their membrane interactions, the vast major-ity of defence peptides are cationic and amphiphilic with those that adopt α-helical structure the most studied [19, 24]. Currently, this latter group includes the majority of defence peptides that have been shown to also possess anticancer activity and these may be broadly divided into two sub-groups: peptides in the first of these subgroups (Table 1) are toxic to microbes, cancerous and non cancerous cells alike and are exemplified by melittin [31], human LL37 [32], alamethicin [33] and pardaxin [34]. Peptides in the second of these subgroups (Table 1) generally exhibit both antimicro-bial and anticancer specificity at comparable levels, usually in the low micromolar range (< 10-5 M). At these levels, peptides of this subgroup are not significantly haemolytic or toxic to other mammalian cells [11, 12], which makes them of clear medical interest. Examples of this subgroup include magainins and cecropins and as antimicrobial agents, these peptides are already undergoing clinical trials [17, 35-38] and have been the subject of patents [39-41]. More recently, magainins, cecropins and other members of this subgroup have begun to receive increased attention as a potential source of therapeutically useful anticancer agents [11] and for clarity, these peptides are referred to here as α-helical anticancer peptides (α-ACPs).

A diverse spectrum of organisms are known to produce α-ACPs as shown by cecropins, which have potent antican-cer activity [11, 42-47] and have been isolated from the silkworm Hyalophora cecropia [48], insects and mammals [49, 50]. However, the richest source of α-ACPs is the skin of amphibians and peptides isolated from this source include the families of magainins, aureins, citropins, dahleins, maculatins, uperins and caerins. A well-established example of the first of these families is magainin II, which was origi-nally isolated from the skin of the African clawed frog, Xenopus laevis [51]. In vitro, magainin II has been shown to exhibit activity against a wide range of cancer cell lines in-cluding, breast, lung and bladder cancers, along with mela-nomas, lymphomas and leukemias [52-56]. In vivo, local treatment with magainin II was found to completely ablate a subcutaneous xenograft model of melanoma tumor growth in nude mice [54] whilst the application of magainin peptides greatly improved the survival of animals with ascites-producing tumours [55]. The remaining families of amphib-ian peptides described above are obtained from the skin of various closely related species of Australian frogs of the Litoria and Uperoleia genera [16]. Each of these families was tested for anticancer activity using the testing regime of the National Cancer Institute of the USA (http:// https://www.doczj.com/doc/bb9965141.html,;

[57]). It was found that peptides from each family exhibited activity against cell lines representing circa 55 cancers, in-cluding: renal, ovarian, prostate, colon, breast, lung and bladder cancers, along with melanomas, leukemias and can-cers of the central nervous system [16].Aurein 1.2 from Litoria raniformis [58] and citropin 1.1 from Litoria citropia [59, 60] are the best characterised α-ACPs from these families with each killing upward of 90% of the cancer cell lines tested [57, 61].

THE SELECTIVITY OF α-ACPS FOR CANCER CELLS

It is generally accepted that electrostatic interactions con-stitute the major factor underpinning the ability of α-ACPs to preferentially target and invade cancer cell membranes [11]. Thus at levels when they are tumouricidal, these pep-tides, which are generally cationic, are not significantly at-tracted to normal vertebrate cells whose plasma membranes carry an overall neutral charge on their outer surface: pri-marily due to the fact that the major lipid components these

Table 1.Sequences Data for α-ACPs and α-Helical Defence Peptides

Table 1 shows the sequences of typical α-ACPs from amphibians, including: aurein 1.2, citropin 1.1, maculatin 1.1 [16] and ma-gainin [153], along with those of typical α-helical defence peptides, including melittin [31], pardaxin [34] and almethicin [33].

In the latter peptide, Ac denotes an acetyl group and U represents α-methylalanine [33]. Also shown is the amphiphilicity, as the mean hydrophobic moment (<μH>), and mean hydrophobicity () of each sequence, which was computed according to Eisenberg et al., [154].

Peptide Segment sequence<μH>

Aurein 1.2GLFDIIKKIAESF-NH20.710.21

Citropin 1.1GLFDVIKKVASVIGGL-NH20.640.34

Maculatin 1.1GLFGVLAKVAAHVVPAIAEHF-NH20.480.45

Magainin 1GIGKFLHASGKFGKAFVGEIMKS-COOH0.56-0.01

Melittin GIGAVLKVLTTGLPALISWIKRKRQQ-NH20.570.25

Pardaxin GFFALIPKIISSPLFKTLLSAVGSALSSSGGQE0.500.59

Alamethicin Ac-UPUAUAQUVUGLUPVUUEQF-OH0.30-0.11

Anticancer α-Helical Peptides and Structure Current Protein and Peptide Science, 2006, Vol. 7, No. 6 489

membranes are zwitterionic, including: phosphatidylethano-lamine, phosphatidylcholine and sphingomyelin [62, 63]. At tumouricidal levels, α-ACPs also generally show insignifi-cant levels of haemolysis. The first major barrier presented to these peptides by euthrocytes is their outer glycocalix layer and it has been suggested that these cationic peptides become attached to negatively charged sialic acid moieties within the glycocalix. The low affinity of α-ACPs for zwitte-rionic membranes than makes it difficult for them to divorce from the glycocalix barrier and partition into the membrane thus inhibiting haemolysis [10].

As with all in vivo drug resistance mechanisms, that of cancer cells to α-ACPs is thought to be multifactorial. For example, cholesterol is another major component of eukary-otic cell membranes [64] and has been shown to inhibit the action of α-ACPs such as cecropins by changing membrane fluidity, thereby retarding the membrane insertion of these peptides [65, 66]. Recent studies on erythrocytes have sug-gested that cholesterol may play a similar role in the mem-branes of red blood cells [67] and it is well established that these membranes contain high levels of the sterol [68]. Thus it may be that cholesterol-mediated resistance to membrane invasion by α-ACPs also contributes to the lack of haemo-lytic ability displayed by many of these peptides, as shown for a number of aureins [57].

The selectivity shown by α-ACPs for cancer cells is pri-marily ascribed to the negative outer surface charge carried by the plasma membranes of these cells [11]. The outer leaflet of these membranes contains higher than normal lev-els of anionic phosphatidylserine (PS) [69, 70], which is al-most completely absent from the outer leaflet of normal cell plasma membranes [62, 63]. Most recently, it was shown that a number of human cancer cell lines expose PS on their outer surface, which appeared to facilitate killing of these cells by NK-2, a known α-ACP [71]. These results are rein-forced by studies on aurein 1.2, which is an α-ACP known to possess high tumouricidal activity against a range of human glioma cells with an IC50 of circa 10 μM [57]. Presented here, our own investigations clearly show that aurein 1.2 rapidly partitions into model membranes formed from whole lipid extracts of membranes from cells of the 1321N human brain astrocytoma cell line [72], inducing large maximal surface pressure changes of circa 10.0 mN m-1 (Fig. 1A). The peptide showed similar kinetics and levels of interaction with model anionic membranes formed from pure PS but much lower rates of interaction and surface pressure changes with zwitterionic model membranes formed from pure phosphati-dycholine (Fig. 1B).In combination, these studies clearly support a role for PS in the anticancer activity of α-ACPs but nonetheless, the level of PS in the outer membrane of cancer cells is low, forming less than 10% of the total membrane phospholipids [73]. Such PS levels would make cancer cell membranes only marginally more anionic than their normal cell counterparts, which suggests that other factors may con-tribute to the selectivity shown by α-ACPs for these cells. Some authors have suggested that the increased levels of sialic acids associated with the tumour membrane surface may contribute to this selectivity [12]. These acids are nega-tively charged sugar residues that usually occupy exposed terminal positions on the oligosaccharide chains of mem-brane bound glycoconjugates [74]. This suggestion was strongly supported when it was found that the pre-treatment of tumour cells with neuraminidase to enzymatically digest sialyl residues and remove them from the cell surface greatly reduced the ability of several α-ACPs to target these mem-branes [75]. Other authors have observed that the lytic selec-tivity of α-ACPs may also be influenced by the high nega-tive transmembrane potentials associated with cancer cell membranes. This potential can be disturbed by membrane destabilisation, resulting in the loss electrolytes and cell death. In contrast, normal eukaryotic cell membranes have only low transmembrane potentials [10]. Work involving scanning electron microscopy showed that in relation to normal cells, tumourigenic cells possess higher numbers of microvilli [73] and it was suggested that the effectively in-creased outer surface area of these cells would enhance the selectivity of α-ACPs by enabling higher levels membrane binding by these peptides [76, 77]. Based on the above ob-servations, it is clear that differences in membrane composi-tion, membrane fluidity, and transmembrane potential can partly explain the selectivity of α-ACPs for cancer cells over normal eukaryotic cells [10, 11]. Generally supporting this conclusion, α-ACPs also show selectivity for bacterial mem-branes, which may be considered as functional analogues of cancer cell membranes, exhibiting anionic outer surfaces due to their high acidic lipid content. Nonetheless, it is still a matter of fact that other cationic α-helical defence peptides show no significant cell selectivity and are toxic to virtually all cell types. Moreover, there is also great variability in tar-get cell specificity within α-ACPs: some cecropins show selectivity and high toxicity to a broad range of bacterial cells [21, 46, 78] and cancer cells [11, 42-47]. In contrast, aureins show no significant activity towards Gram-negative bacteria but selectivity and high toxicity towards Gram-positive bacteria, which is accompanied by comparable anti-cancer activity with a limited number of cell lines [57]. Moreover, for a given α-ACP, there can be great variability in the killing efficacy of the peptide when directed against cells of different cancer types [11]. Currently, there does not appear to be a unifying concept(s) that is able to fully ex-plain these observations but it would seem that a negatively charged membrane is only a general prerequisite for target cell selectivity by cationic α-ACPs and α-helical defence peptides. Indeed, several studies have suggested that this selectivity may also depend upon the physiochemical and structural characteristics of the peptide along with the or-ganisation and composition of both the target membrane and its associated outer layers [79, 80]. Consistent with this sug-gestion, several previous statistical studies have shown that when subgrouped according to their ranges of target organ-isms, α-helical defence peptides exhibit significant differ-ences between a number of their physiochemical and struc-tural properties [24, 28, 81]. Using the approach of these latter authors, a recent study attempted to gain insight into the selectivity of α-ACPs by comparing the properties of these peptides to those of α-helical defence peptides with selectivity for either bacterial targets or a broader range of microbial targets [12]. Significant differences between the net positive charge of these peptide groups were revealed (Table 2) and consistent with these findings, our own com-positional analyses here (Fig. 2) showed that lysine demon-strated a markedly higher frequency of occurrence in α-ACPs than in the α-helical defence peptides analysed by

490 Current Protein and Peptide Science, 2006, Vol. 7, No. 6Dennison et al. Fig. (1A). Shows the interactions of aurein 1.2 with monolayer mimics of membranes of Staphylococcus aureus (A) and membranes of cells from the 1321N human brain astrocytoma cell line (B). In both cases, these monolayers were formed by spreading whole lipid extracts of cells onto an aqueous subphase to give an initial surface pressure of 30 mN m-1, mimetic of naturally occurring membranes. Aurein 1.2 (4μM) was then introduced into the subphase and changes in surface pressure monitored all as described in Dennison et al., [155]. The peptide induced surface pressure changes of 9 mN m-1 with S. aureus membrane mimics and 10 mN m-1 with astrocytoma membrane mimics. Fig. (1B) used the same experimental conditions except that lipid monolayers were either formed from pure PS to give an anionic monolayer (A) or pure PC to give a zwitterionic monolayer (B). For (A) surface pressure changes of circa 9 mN m-1 were observed whereas for (B), lower surface pressure changes of circa 2 mN m-1 were exhibited. Bacterial cells were grown according to Dennison et al., [156] and cancer cells according to Harris et al [157]. Total lipid extraction were derived from these cells using the methodology of Bligh and Dyer [158] and used to form monolayers as described by Dennison et al. [155].

these latter authors. It may be that positive charge or the snorkelling activity of this residue [82] is important to the selectivity of α-ACPs. The studies of Dennison et al., [12] also showed that there were significant differences between the sequence lengths and molecular weights of α-ACPs and those of α-helical defence peptides with selectivity for bacte-rial targets (Table 2). Previous studies have suggested that sequence length and molecular weight do not have a direct effect on the microbial selectivity of defence peptides [24, 28] but given that anticancer activity is not known to be a naturally occurring function of α-ACPs, it may be that these size properties have some influence on their selectivity for cancer cell membranes. Currently, we are investigating this possibility, which received some recent support when it was reported that sequence length can influence the efficacy of aureins and other closely related amphibian peptides with anticancer activity [16].

THE INTERACTION OF α-ACPS WITH CANCER CELL MEMBRANES

Based on data from microbial studies, two generic mod-els have been proposed to explain the ability of α

-helical

Anticancer α-Helical Peptides and Structure Current Protein and Peptide Science, 2006, Vol. 7, No. 6 491Table 2.Physiochemical Properties of α-ACPs and α-Helical Defence Peptides

Table 2 shows the ranges of a number of physiochemical properties of α-ACPs and α-helical defence peptides, which were active

against either Gram-positive and Gram-negative bacteria [{G+, G-} peptides] or Gram-positive and Gram-negative bacteria, and

fungi [{G+, G-, F} peptides]. Analysis of variance (ANOVA) showed that there were no significant between these peptide groups

for pI and arc size (F 2,175 = 0.040, p = 0.96, in both cases). However, the net charges of α-ACPs were significantly different to

those of either {G+, G-} peptides or {G+, G-, F} peptides (F 2,175 = 18.781, p = 0). ANOVA also showed that the sequence lengths

of these α-ACPs differed to {G+, G-} peptides but were similar to those of {G+, G-, F} peptides (F 2,175 = 10.415 p = 0). Paral-

leling this trend, the molecular weights of α-ACPs showed significant differences to {G+, G-} but similarity to {G+, G-, F} pep-

tides (F 2,175 = 7.72, p = 0.01). Data for α-ACPs was taken from Dennison et al., [12] and or α-helical defence peptides from Den-

nison et al., [24].Peptides Molecular mass

range

(kDa)

Length range (resi-dues)Net charge range pI range Hydrophobic arc range (°)α-ACPs 1.4 to 4.7

13 to 400 to 12 6 to12.6

40 to 240{G+, G-} 1.2 to 7.4

10 to 68-1 to +16 6.7 to 12.440 to 300{G+, G-, F} 1.4 to 4.913 to 460 to +10 5.6 to 12.7

40 to 240Fig. (2). Shows the relative frequency of occurrence of amino acid residues in the primary structures of a dataset of α-ACPs (white) and in those of a dataset comprising α-helical defence peptides (grey), which were active against either Gram-positive and Gram-negative bacteria {G+, G-} or Gram-positive and Gram-negative bacteria, and fungi {G+, G-, F}. In general, the two datasets of peptides showed similar over-all compositions and comparable number of polar and apolar residues. However, lysine and isoleucine showed significantly higher levels of occurrence in α-ACPs than in α-helical defence peptides. The datasets used for this compositional analysis are available at website (https://www.doczj.com/doc/bb9965141.html,/facs/science/biology/bru/amp_data.htm).

defence peptides to invade target cell membranes, which are

the carpet mechanism and the barrel-stave model of pore

formation [23, 83] and are represented in Fig. (3) and Fig.

(4). To use this latter model, peptides must be sufficiently

long to span the bilayer and would initially bind electrostati-

cally to the headgroup region of target membranes in an ori-

entation parallel to the bilayer surface (Fig. 3A ). Subsequent

peptide aggregation and insertion into the membrane at an

angle perpendicular to the bilayer surface would then lead to

the formation of a transmembrane pore. To create this pore,

the hydrophobic faces of the α-helical peptides associate with the bilayer core and the hydrophilic faces of the pep-tides form the aqueous lumen (Fig. 3B ). It is well established that alamethicin, produced by the fungus Trichoderma viride [33], and pardaxin, a shark repellent neurotoxin secreted by sole fish of the genus Pardachirus [34], are non-selective α-helical defence peptides that use this latter mechanism of membrane invasion to facilitate their biological activity.Based on these observations it was suggested that use of the barrel-stave pore model of membrane invasion may be char-acteristic of non-selective α-helical defence peptides [10] but most recently, evidence has been presented, showing that α-

492 Current Protein and Peptide Science, 2006, Vol. 7, No. 6Dennison et al. Fig. (3). Represents peptides using the barrel-stave pore mechanism to invade membranes. These α-helical peptides must be sufficiently long to span the bilayer and initially, bind to the membrane in an orientation that lies with the α-helical long axis roughly parallel to the bilayer surface (Fig. (3A)). The apolar face of the peptide interacts with the hydrophobic acyl chain region of the membrane whilst the polar face of the peptide associates with the lipid headgroup region. Subsequent peptide aggregation leads to membrane insertion at an angle perpendicular to the bilayer surface and the formation of a transmembrane pore. To create this pore, the hydrophobic faces of the α-helical peptides associ-ate with the bilayer core and the hydrophilic faces of the peptides form the aqueous lumen of the construction (Fig. (3B)). Fig. (3) was adapted from Dennison et al. [24].

ACPs may also invade membranes using this model. A num-ber of groups have studied the membrane interactive behav-iour of ceratotoxins, which are found in the reproductive accessory glands of the medfly Certitis capitata [72, 84-86]. These peptides adopt α-helical structure in the presence of lipid and in this conformation, are sufficiently long to span the bilayer [87]. Ceratotoxins show low levels of haemolysis that are accompanied by strong broad range antibacterial activity, the levels of which correlate well with their high levels of pore-forming activity [86, 88, 89]. The pores formed by these peptides have been unambiguously shown to involve the construction of voltage dependent ion chan-nels according to the barrel-stave model [89, 90]. These pep-tides show many of the characteristics associated with α-ACPs although, as yet, they do not appear to have been in-vestigated in this capacity. The focus of a number of authors has been the membrane interactive properties of maculatin 1.1, which is found in the skin of the Australian frog Litoria genimaculata [91] and is closely related to aurein 1.2 and citropin 1.1 (Table 1). The peptide is α-helical at the mem-brane interface [92, 93] and in this conformation, is suffi-ciently long to span the bilayer [94]. At comparable micro-molar levels, maculatin 1.1 showed anticancer and antimi-crobial activity [16] and a strong preference for anionic membranes over zitterionic membranes [92, 93] but low lev-els of haemolysis [95], thus showing the hallmark character-istics of α-ACPs. In a novel approach, the lytic abilities of maculatin 1.1 were investigated using confocal fluorescence microscopy and single giant unilamellar vesicles (GUVs), which incorporated fluorescent probes of differing molecular weight [94]. It was found that whilst overall integrity of the GUVs membrane was maintained, the peptide rapidly in-duced the release of entrapped low molecular weight probes from these vesicles but showed no such ability with probes of higher molecular weight. These latter authors suggested that this differential release of molecular weight probes re-sulted from the permeation of GUVs by transmembrane pores, which were formed from oligomers of maculatin 1.1 via a mechanism that was consistent with the barrel stave pore mechanism.

The carpet mechanism of membrane invasion [23, 24] utilises a mode of initial membrane binding and orientation that is similar to that proposed for the barrel stave pore for-

mation. However in the carpet mechanism, aggregation of

Anticancer α-Helical Peptides and Structure Current Protein and Peptide Science, 2006, Vol. 7, No. 6 493 Fig. (4). Represents peptides using the carpet mechanism to invade membranes. The α-helical peptides utilise a mode of initial membrane binding and orientation that is similar to that described in Fig. (3) for the barrel stave pore formation. However in the carpet mechanism, ag-gregation of on the target membrane surface imposes a positive curvature strain by increasing the distance between membrane lipid head groups (Fig. (4A)). At a critical concentration, these aggregated α-ACPs realign, causing the membrane surface to cavitate inwards and ulti-mately form a toroidal pore (Fig. (4B)). In this pore, participating α-helical peptides remain in close association with membrane lipid head groups, which leads to the formation of pores that are lined by these polar head groups and the hydrophilic faces of the peptides (Fig. (4B)). These pores are proposed to be transient and lysis of the bilayer then occurs when numerous toroidal pores coalesce forming ‘islands’ in the membrane, ultimately leading to membrane micellization (Fig. (4C)). Fig. (4) was adapted from Dennison et al., [24].

peptide molecules on the target membrane surface imposes a positive curvature strain by increasing the distance between membrane lipid head groups (Fig. 4A). At a critical concen-tration, these aggregated peptide molecules realign, causing the membrane surface to cavitate inwards and ultimately form a toroidal pore (Fig. 4B). In further contrast to the bar-rel stave pore formation, the carpet mechanism requires that peptide molecules remain in close association with mem-brane lipid head groups, which leads to the formation of pores that are lined by these polar head groups and the hy-drophilic faces of the α-helical peptides (Fig. 4B). These pores are proposed to be transient and lysis of the bilayer then occurs when numerous toroidal pores coalesce, ulti-mately leading to membrane micellization (Fig. 4C) [96, 97]). Recent studies have shown that pardaxin can utilise the

carpet mechanism to invade membranes, in addition to the

494 Current Protein and Peptide Science, 2006, Vol. 7, No. 6Dennison et al.

barrel-stave pore model, and it was suggested by these authors that similar versatility may be shown by other such peptides [98]. Consistent with this observation, melittin, which is a non-selective α-helical defence peptide found in the venom of the honey bee Apis mellifera [31], has been reported to invade membranes using the barrel-stave pore model [94, 99-101] and most recently, the carpet / toroidal pore mechanism [102, 103]. It has previously been suggested that use of the carpet mechanism / toroidal pore formation may be characteristic of selective α-helical defence peptides [10] and appears to be that most favoured to facilitate cancer cell membrane invasion by α-ACPs. Based on both experi-mental evidence [104] and molecular modelling [105, 106] it is generally accepted that magainins and cecropins use the carpet mechanism / toroidal pore formation to exert their antimicrobial activity [23] and there is accumulating evi-dence that these peptides utilise similar mechanisms to kill cancer cells [107, 108]. More recently, patch clamp studies on a single cell from a stomach carcinoma cell line showed that cecropin B induced transient pores in these cells with increasing levels of these pores leading to cell lysis [47]. These authors proposed a mechanism of pore formation for the peptide, which showed strong similarities to the toroidal pore model. Confocal microscopy showed that a fluores-cently labelled magainin II analogue was able to cross the plasma membrane of the human cervical carcinoma HeLa cell line, which was suggested by further analyses to involve the toroidal pore mechanism [109]. Most recently, scanning electron microscopy was used to study the morphological changes induced by the action of magainin II on single cells of the 486P bladder cancer cell line. Micrographs clearly showed that the plasma membrane of these cells was dis-rupted and a pore type mechanism appeared to be involved, which showed similarities to the carpet / toroidal pore mechanism [52]. Using the approach described above for studies on maculatin 1.1, Ambroggio et al.,[94] showed that aurein 1.2 and citropin 1.1 induced the instantaneous release of entrapped fluorescent probes from GUVs, regardless of the molecular weight of the probe, which was accompanied by complete membrane destabilisation. Previous studies have shown that both peptides insert into membranes an an-gle of circa 50° but possess insufficient length to span the bilayer [92]. Taken with their own data, this led Ambroggio et al., [94] to propose that aurein 1.2 and citropin 1.1 desta-bilise membranes using the carpet mechanism and thereby exert their anticancer and antimicrobial activity. Moreover, the latter two studies led to the suggestion that aurein 1.2 and citropin 1.1 may utilise a previously undescribed variation on the carpet mechanism and destabilise membranes through the use of oblique orientated α-helices [24, 110]. These α-helices possess hydrophobicity gradients along their long axis, which causes them to insert into membranes at a shal-low angle of between 30° and 60° thereby destabilising membrane structure and promoting a range of membrane-related processes including pore formation [111, 112]. A theoretical analysis of aurein 1.2 and citropin 1.1 showed that these peptides possessed hydrophobicity gradients, lev-els of amphiphilicity and other structural characteristics that are strongly associated with oblique orientated α-helical structure [110]. More recent analyses have shown that many other α-ACPs are candidates to form such structure and it was suggested that oblique orientated α-helices may be commonly used to invade cancer cell membranes [12].

Another variation on the carpet mechanism, the Shai, Huang and Matsazuki (SHM) model [113], was proposed to account for the fact that some α-helical defence peptides can traverse the membrane of microbial cells and attack intra-cellular targets. Essentially the SHM model generalizes the carpet mechanism, incorporating aspects from several previ-ous models, and proposes that upon the disintegration of transient toroidal pores, peptides can be become translocated onto the inner surface of the membrane [113]. Clearly, this or similar mechanisms could also account for the ability of α-ACPs and other α-helical defence peptides to assume cy-toplasmic locations, thereby facilitating their ability to in-vade mitochondrial membranes and attack other intracellular targets [10, 11].

Mitochondria are established targets for anticancer ther-apy and the ability of cationic species such as α-ACPs to target mitochondrial membranes is generally driven by the transmembrane potential across this membrane system [114, 115]. Most recently, it was shown that magainin 1 killed cells from the human leukemia cell line, HL-60, without significant disruption of the plasma membrane but was ac-companied by a series of events associated with permeabili-sation of the mitochondrial membrane and the induction of apoptosis [116]. The peptide was found to induce an increase in the level of reactive oxygen species found in the cell, which is an early signal of apoptosis [117, 118] and to pro-mote the release of cytochrome c from mitochondria. It is well established that cytochrome c release leads to the acti-vation of caspase 3, which is responsible for many of the hallmark effects of apoptosis [119, 120]. Elevated levels of caspase 3 activity were detected in HL-60 cells that had been treated with magainin 1 along with a number of major effects arising from apoptosis, including proteasome activation [121], increased nuclear condensation and DNA fragmenta-tion [122]. Interestingly, recent studies on an analogue of magainin II suggested that the anticancer action of the pep-tide involved disruption of the plasma membrane and / or the mitochondrial membrane [109]. These studies showed that the peptide was able to translocate across the plasma mem-brane of cells of the cervical carcinoma HeLa cell line and the internalised peptide was found to induce high levels of cell cytoxicity, which was proposed to arise from dissipation of the plasma membrane potential and leakage of intracellu-lar molecules and / or mitochondrial damage leading to apoptosis. In contrast to these magainin peptides, BMAP-28 (Bovine myeloid antimicrobial peptide), was shown une-quivocally to kill cancer cells through disruption of both the mitochondrial and the plasma membranes [75]. The peptide has been shown to possess all the physiochemical hallmarks of α-ACPs and to possess high toxicity to a range of myeloid and lymphoid cancer cell lines at levels similar to its antimi-crobial activity [75, 123]. The anticancer activity of BMAP-28 was found to be primarily due to plasma membrane per-meabilisation and necrosis [75] but other effects were re-vealed when these latter authors made a more detailed study on the action of the peptide on the U937 myeloid cell line. A Ca2+ influx into the cytosol was detected in the early steps of plasma membrane permeabilization, which appeared to trig-ger membrane blebbing, DNA fragmentation and other

Anticancer α-Helical Peptides and Structure Current Protein and Peptide Science, 2006, Vol. 7, No. 6 495

events consistent with apoptosis [75]. It is generally accepted that mitochondrial events control the apoptosis process [124], and to further characterize the anticancer activity of BMAP-28, the effects of the peptide on mitochondria were investigated [125]. These latter authors showed that BMAP-28 promoted permeabilisation of the mitochondrial mem-brane and depolarization of the inner mitochondrial mem-brane, both in single U937 cancer cells and in iso-lated mitochondria. Further investigation suggested that this ability underpinned the BMAP-28-mediated induction of apoptosis in U937 cells and resulted from the peptide’s ca-pacity to mediate opening of the mitochondrial permeability transition pore [125], which is a supramolecular protein complex occurring at contact points between the mitochon-drial outer and inner membranes [126]. Previous studies have shown that opening of this pore leads to the mitochon-drial permeability transition, which is characterized by a sudden increase in the permeability of the inner mitochon-drial membrane to solutes with molecular mass below 1500 Da [127]. These events promote membrane depolarization, mitochondrial swelling and other apoptotic events, leading to the loss of outer mitochondrial membrane integrity and the translocation of pro-apoptotic proteins from the mitochon-drial intermembrane space to the cytosol with subsequent activation of caspases [115, 120]. It was suggested by [125] that in addition to inducing necrosis through membrane per-meabilisation, BMAP-mediated disruption of the mitochon-drial membrane would contribute to the induction of apopto-sis observed in their previous study [75]. It was also ob-served by [125] that in addition to these mechanisms, the anticancer activity of BMAP-28 could involve other modes of action such as the induction of apoptosis via the facilita-tion of increased cytoplasmic Ca2+. Indeed, a number of anti-cancer mechanisms that do not directly involve membrane disruption have been reported for both α-ACPs and other cytolytic peptides [10, 11]. However, in general, these mechanisms lie beyond the scope of this review and will not be further discussed.

STRUCTURE / FUNCTION ANALYSES OF α-ACPS AND THEIR MEMBRANE INTERACTIONS The foregone discussion has established that α-ACPs exhibit comparable efficacy in their anticancer and antimi-crobial activities, and that these activities involve the com-mon function of membrane invasion, which is clearly illus-trated by studies on aurein 1.2. It has been previously shown that the peptide is effective against cancer cells of glioma cell lines and bacterial cells from Gram-positive organisms at comparable levels of circa 10-5 M [92]. Fig. (1A) shows that at the same micromolar concentration, the peptide ex-hibits kinetics of interaction and induces maximal surface pressure changes in monolayer mimics of Staphylococcus aureus membranes that are similar to those observed in monolayer mimics of 1321N glioma cell membranes.The number of close parallels between the anticancer and antimi-crobial mechanisms of α-ACPs clearly suggests that the two activities of the peptides may involve similar structure / function relationships and to gain insight into this possibility, several studies have compared structural characteristics of α-ACPs to those of α-helical defence peptides. Our own com-positional analyses showed that each of these groups of pep-tides contained polar and apolar residues in roughly equal proportions, suggesting comparable levels of amphiphilicty in each case (Fig. 2). Graphical analysis of α-ACPs showed that these peptides formed strongly amphiphilic α-helices, which were comparable in residue distribution to those of α-helical defence peptides, whilst ANOVA (Table 2) showed that the arc sizes of α-helices from these three peptide groups exhibited no significant differences [12]. Given the crucial role of structural amphiphilicity in the antimicrobial function of α-helical defence peptides, these latter authors attempted to relate the amphiphilicity of α-ACPs to their anticancer function. At this juncture, it is perhaps worthy of note that the extent of these analyses was severely restricted due to the lack of detail provided with regards to tumour cell lines in many reports of peptides with anti-cancer activity. Nonetheless, Dennison et al. [12] quantified the amphiphil-icity of a number of α-ACPs and regressed these values against their lethal doses when directed against Jurkat and K562 tumour cell lines respectively. A significant negative linear correlation between these parameters was revealed by these analyses (Fig. 5) and although limited, these data clearly suggested that for the α-ACPs studied, higher levels of amphiphilicity were important for higher levels of anti-cancer activity and a comparable relationship was recently reported for α-helical defence peptides [24, 28]. To investi-gate this suggestion further, Dennison et al., [12] plotted the amphiphilicity of α-ACPs versus their hydrophobicity, which gives a measure of affinity for the membrane interior [128]. A hydrophobic moment plot of these data points [12] showed that most of α-ACPs represented would be predicted to be surface active according to the criteria of Eisenberg et al.,[129]. This class of α-helices partitions into membranes in a manner that closely parallels the initial stages of the bar-rel pore model and the carpet mechanism (Fig. 3 and Fig. 4), aligned such that the α-helical long axis lies approximately parallel to the interface and the polar / apolar interactions of the α-helix with the membrane are energetically satisfied [130]. In general, surface active α-helices are highly am-phiphilic and insert strongly into membranes, which is well illustrated in Fig. (1A). Aurein 1.2 has a particularly high amphiphilicity (Table 1) and Fig. (1A) shows that the pep-tide induces large pressure changes of circa 9 mN m-1 in monolayer mimics of both cancer and microbial membranes, a value that is comparable to those reported for a number of other strongly surface active α-helices [131]. Dennison et al., [12]also undertook a linear regression analysis of their hydrophobic moment plot of α-ACPs, which revealed a strong negative correlation between the amphiphilicity and hydrophobicity of these peptides these parameters (Fig. 6). These data clearly suggested that an appropriate balance between amphiphilicity and hydrophobicity is required for the anticancer activity of the α-ACPs studied. Similar bal-ances between these parameters have been reported neces-sary for the membrane interactions of α-helical defence pep-tides [24] and several other classes of surface active α-helices [132-134].

In combination, these studies clearly support the view that the anticancer activity of α-ACPs may predominantly derive from structure / function relationships that facilitate the invasion of cancer cell membranes by these peptides [10-12]. Nonetheless, it has been observed that the mechanisms underlying these processes of membrane invasion are rela-

496 Current Protein and Peptide Science, 2006, Vol. 7, No. 6Dennison et al.

Fig. (5). Shows a plot of the amphiphilicity of α-ACPs, measured as the mean hydrophobic moment (<μH>) [154],versus their anticancer activity, determined as the peptide dose required to kill 50% of target cancer cells (LD50). The target cells represented in these plots were from the K562 (black) and Jurkat (grey) cell lines. Regression analysis of these data indicated a strong negative linear correlation between <μH> and LD50 (R2 = 0.81 in both cases), which ANOVA showed to possess a particularly significant F statistic in both cases with F(1,6) = 21.00; p = 0.0059; and F(1,6) = 22.23; p = 0.005 respectively. These analyses clearly show that amphiphilicity is important to the anticancer activity of α-ACPs. Fig. (5) was adapted from Dennison et al., [12].

Fig. (6). Shows hydrophobic moment analysis of α-ACPs. The amphiphilicity of α-ACPs was measured as the mean hydrophobic moment, (<μH>) whilst their affinity for the membrane interior was measured by < H > according to [154]. Regression analysis of these data indi-cated a strong negative linear correlation between these parameters (R2 = 0.64), which ANOVA shoed to possess a particularly significant F statistic ([F(1, 32) = 56.11; p = 1.93 x 10-8). These analyses indicated that a characteristic balance between amphiphilicity and hydrophobicity is important to the ability of α-ACPs to invade cancer cell membranes. Fig. (6) was adapted from Dennison et al., [12].

Anticancer α-Helical Peptides and Structure Current Protein and Peptide Science, 2006, Vol. 7, No. 6 497

tively non-specific [135], which implies that these processes will not involve receptor based mechanisms. Earlier studies had suggested that the anticancer activity of magainins may involve a tumour cell receptor [56, 108] although later stud-ies did not support this idea [107]. More recent studies have strongly argued against protein receptor based mechanisms for both α-ACPs and other defence peptides with anticancer activity. It has been shown that D-amino acid analogues of: magainin [54, 55, 136], cecropin [136-139]citropin 1.1 [61], maculatin 1.1 [140], melittin [136] and others [10] show anticancer and antimicrobial activity at levels comparable to those of the parent L-amino acid peptides. Nonetheless, the possibility of some α-ACPs using receptor based mecha-nisms should not be discounted completely as the use of such mechanisms by pore-forming peptides is not without prece-dent. Nisins are class I bacteriocins, which are cationic am-phiphilic lantibiotics that are produced by Lactococcus lac-tis, and are highly active against other Gram-positive species [141]. Micromolar levels of these peptides were found to induce transient pores in model membranes and comparisons to magainins led to the proposal that nisins may use a toroi-dal pore type mechanism for bacterial membrane invasion [142]. However, this model could not explain the fact that the in vivo antibacterial activity of nisins contrasted to that of magainins by occurring at nanomolar levels. It is now known that nisins target the cell wall precursor lipid II, which func-tions as a receptor for these peptides, and that receptor-binding induces a twofold mode of antibacterial action by the peptides: Cell wall biosynthesis is inhibited, thereby promoting bacterial membrane permeabilisation, and the affinity of nisins for these membranes is greatly increased. In turn, this increased affinity leads to the formation of well defined pores using a highly specific mechanism that in-volves both nisin and lipid II molecules and most recently, a model been proposed to describe this mechanism [143]. A number of other lantibiotics have been reported to target lipid II and permeabilise the membranes of target bacteria [143, 144] whilst some class IIa bacteriocins that show specificity for Listeria may also use a receptor-mediated pore-forming mechanism to exert their antibacterial action [145-147]. Based on the generally close correspondence between the antimicrobial and anticancer activity of many peptides, a recent study tested nisins for activity against cells of the HL-60 leukaemia cell [116]. No activity was detected but this appeared to be one of the few such studies con-ducted, which is surprising given that nisins have virtually no toxicity to humans as witnessed by their use in the food industry and packaging systems [148].

CONCLUDING REMARKS

Studies using in vitro models have established that α-ACPs show selectivity for cancer cells probably via the tar-geting their anionic membranes although other factors not yet elucidated appear to be involved. These results have mo-tivated a number of in vivo studies designed to improve the ability of both α-ACPs and other defence peptides to target cancer cells. Strategies developed by these studies include: the construction of designed peptides; the creation of prolytic peptides that can be cleaved upon interaction with target cancer cells; conjugating peptides with ligands that are ex-pressed on the cancer cell membrane; the linking of peptides to ligand hormones such as gonadotropins and the use of

vector-mediated delivery of genes encoding peptides into

cancer cells [10, 11, 149].

Based on in vitro systems, it has been established that the

major mechanisms of anticancer activity used by all known

α-ACPs involves invasion of the mitochondrial and / or plasma membrane, does not require membrane receptors and

generally proceed via the carpet / toroidal pore mechanism

and variants. This ability to invade membranes is primarily

governed by membrane-based factors such as lipid composi-

tion and the gross structural properties of α-ACPs such as

amphiphilicity. It has previously been predicted that the

relatively non-specific nature of these membrane invasion

mechanisms would make development of cancer cells with

resistance to α-ACPs unlikely [12]. Cancer cells with multi

drug resistance (MDR) is a major problem in anticancer

therapy, most commonly arising from the over-expression of

P-glycoprotein, a membrane-bound efflux pump that actively

removes many conventional anticancer drugs [150, 151].

Prompted by these predictions, in vivo investigations have

shown that both α-ACPs and other defence peptides are able

to kill cancer cells with P-glycoprotein mediated MDR with

equal or better efficacy than the corresponding wild type cell

lines [10, 11]. These results were a major finding and re-

search into ability of α-ACPs to kill cancer cells with MDR

was further inspired by the observation that these peptides

could synergise with some conventional anticancer drugs

such as S-fluorouracil and cytarabine against cancer cells

[42]. Application of this combinatorial strategy to kill MDR

cancer cells showed that the efficacy of a number of α-ACPs

was enhanced by co-treatment with conventional anticancer

drugs such as cisplatin, etoposide and doxorubicin at non-

toxic levels [10, 11].

It is clear from this review that α-ACPs are serious con-

tenders in the search for new anticancer drugs with novel

mechanisms of action. Indeed, a measure of their perceived

promise as therapeutic agents and potential as commercial

propositions is provided by the fact that a number of these

peptides, along with their analogues and designed α-ACPs,

have recently been patented as putative anticancer com-

pounds [41, 152]. Further examples of such patented α-

ACPs are available at: https://www.doczj.com/doc/bb9965141.html,/

patft/index.html, website of the United States Patent and

Trademark Office.

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Received: November 14, 2005Accepted: February 06, 2006

四种翻译方法,十种翻译技巧

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精神分裂症的病因及发病机理 精神分裂症病因:尚未明,近百年来的研究结果也仅发现一些可能的致病因素。(一)生物学因素1.遗传遗传因素是精神分裂症最可能的一种素质因素。国内家系调查资料表明:精神分裂症患者亲属中的患病率比一般居民高6.2倍,血缘关系愈近,患病率也愈高。双生子研究表明:遗传信息几乎相同的单卵双生子的同病率远较遗传信息不完全相同 的双卵双生子为高,综合近年来11项研究资料:单卵双生子同病率(56.7%),是双卵双生子同病率(12.7%)的4.5倍,是一般人口患难与共病率的35-60倍。说明遗传因素在本病发生中具有重要作用,寄养子研究也证明遗传因素是本症发病的主要因素,而环境因素的重要性较小。以往的研究证明疾病并不按类型进行遗传,目前认为多基因遗传方式的可能性最大,也有人认为是常染色体单基因遗传或多源性遗传。Shields发现病情愈轻,病因愈复杂,愈属多源性遗传。高发家系的前瞻性研究与分子遗传的研究相结合,可能阐明一些问题。国内有报道用人类原癌基因Ha-ras-1为探针,对精神病患者基因组进行限止性片段长度多态性的分析,结果提示11号染色体上可能存在着精神分裂症与双相情感性精神病有关的DNA序列。2.性格特征:约40%患者的病前性格具有孤僻、冷淡、敏感、多疑、富于幻想等特征,即内向

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卫生部关于印发《脐带血造血干细胞库设置管理规范(试行)》的通知

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