Abstract
Neuropeptides are signalling molecules mainly secreted from neurons that act as neurotransmitters or peptide hormones to affect physiological processes and modulate behaviours. In humans, neuropeptides are implicated in numerous diseases and understanding their role in physiological processes and pathologies is important for therapeutic development. Teasing apart the (patho)physiology of neuropeptides remains difficult due to ligand and receptor promiscuity and the complexity of the signalling pathways. The current approach relies on a pharmacological toolbox of agonists and antagonists displaying high selectivity for independent receptor subtypes, with the caveat that only few selective ligands have been discovered or developed. Animal venoms represent an underexplored source for novel receptor subtype-selective ligands that could aid in dissecting human neuropeptide signalling systems. Multiple endogenous-like neuropeptides as well as peptides acting on neuropeptide receptors are present in venoms. In this review, we summarise current knowledge on neuropeptides and discuss venoms as a source for ligands targeting neuropeptide signalling systems.
Keywords: venom peptide drug discovery, pharmacological probes, neuropeptides, selectivity, G protein-coupled receptor (GPCR)
1. Neuropeptides – ancient signalling peptides widely distributed across the animal kingdom
Neuropeptides are the largest and most diverse class of cell-to-cell signalling molecules with significant roles in animal physiology, behaviour and homeostasis [1]. To date, over 6,000 neuropeptides have been identified belonging to more than 60 neuropeptide families found across nearly 500 different species (source: NeuroPep [2]). The widespread distribution of neuropeptides across Bilateria is due to whole genome as well as local gene duplication events [3].
Neuropeptide signalling systems are evolutionarily ancient and seem to have evolved in the earliest of the metazoans, predating bilaterians, as they are found in the pre-bilaterian metazoans Ctenophora (comb jellies), Cnidaria, Porifera (sponges) and Placozoa (Figure 1A) [3–5]. Porifera and Placozoa do not technically possess a nervous system, meaning that they do not possess neurons, yet studies have found neuropeptide-like sequences in both [4–8]. Neuropeptides mediate their effects mainly through G protein-coupled receptors (GPCRs) [1]. There is ample evidence for the presence of GPCRs in Porifera, Placozoa, Cnidaria and Ctenophora [9, 10], and the study of GPCRs in early pre-bilaterian metazoans has provided insights into the evolution of neuropeptide signalling systems [4, 5]. For instance, genomic evidence was found for bilaterian neuropeptide receptor orthologues of several glycoprotein hormones (follicle-stimulating hormone, luteinizing hormone, and thyroid stimulating hormone) as well as relaxin, and bursicon in Cnidaria and Placozoans [11]. In addition, several genes encoding proteins with characteristics of neuropeptides were identified in the placozoan Trichoplax adhaerens [12] and cnidarian Nematostella vectensis [13]. However, in most cases neuropeptide receptor families are considered evolutionarily ancient based on the occurrence of orthologous neuropeptide-type receptors in one or more deuterostome species and one or more protostome species [3]. Within this definition, at least 31 different neuropeptide families are of pre-bilaterian origin and considered evolutionarily ancient [3].
Figure 1. Overview of animal evolution, neuropeptide biosynthesis, release and signalling.
(A) Simplified phylogenetic tree illustrating selected animal phyla where neuropeptides are found, including non-bilaterian phyla. The deuterostome and protostome phyla diverged ~600 million years ago (mya). *, phyla with no evidence of a nervous system. Adapted from [7]. (B) Neuropeptide precursors are synthesised in the soma of the neuron. The precursor neuropeptide is produced in the endoplasmic reticulum (ER) from mRNA that is translated on the cytosolic ER membrane. After folding of the protein and addition of N-linked carbohydrate (if the appropriate sites are present in the precursor), the neuropeptide is transported to the Golgi via small vesicles that bud from the ER and fuse with the Golgi. The precursor protein is packaged into secretory vesicles, where they are further processed. Upon stimuli, the vesicle fuses with the cell membrane and releases the mature neuropeptides. Mature neuropeptides can be released from nerve endings, dendrites or the cell soma. Neuropeptides can either act at short range on the secreting neuron or through diffusion on neighbouring cells (1), or reach long range target receptors through secretion into the blood stream (2) or through non-synaptic dispersion (3). Once released, the neuropeptides are subject to processing by extracellular peptidases. This generally results in degradation and inactivation of the neuropeptides, except for some cases (e.g., bradykinin and angiotensin II) where this extracellular processing is required to produce the active mature neuropeptide. (C) Schematic of a model neuropeptide precursor made up of a signal peptide (red), propeptide (green) and mature peptides (blue and yellow). Precursors are cleaved by endopeptidases and carboxypeptidases at dibasic cleavage sites to produce the neuropeptides, which can further mature through additional post-translational modifications once in the Golgi. Image was created with Biorender.com.
High conservation of evolutionarily ancient neuropeptide families is generally associated with important physiological roles. Although the function of many conserved neuropeptide families has diverged across animal lineages, emerging evidence demonstrates evolutionary conservation of related neuropeptide-receptor pairs in the regulation of similar aspects of animal physiology and behaviour across species [14]. For example, the neurohypophyseal neuropeptide family (oxytocin and vasopressin) has a conserved role in reproduction, water homeostasis and feeding [15–18], which are essential functions for survival. Other examples include insulin in regulating growth and metabolism [19], thyrotropin-releasing hormone (TRH) in growth [20], prolactin water and salt in metabolism [21], adrenocorticotropic hormone (ACTH) in the immune system [22], and gonadotropin in reproduction [23].
Many neuropeptide families have evolved more recently, yet still regulate important physiological processes. For example, the opioid family, which is a very diverse family and therapeutically important for pain management [24]. Current evidence suggests that opioids are a vertebrate novelty as there is no evidence of opioid signalling system in invertebrates [3]. Similarly, bradykinin is only found in vertebrates and plays a crucial role in inflammation and is also involved in fluid homeostasis, pain and blood pressure [25].
2. Neuropeptide biosynthesis and signalling
Neuropeptides are produced as precursor proteins which consist of an N-terminal signal peptide, a propeptide and one or more mature neuropeptides (Figure 1C) [26]. The precursor protein requires further proteolytic processing to generate the smaller, bioactive neuropeptides. After removal of the signal peptide in the endoplasmic reticulum by signal peptidase, the peptide precursor is transported to the Golgi, where most neuropeptides are released from the precursor protein through cleavage at dibasic residues (K/R-K/R) and, in some cases, single basic residues (K/R) by proprotein convertases 1/3 and 2 (Figure 1B, C) [26]. The neuropeptides are then transported in large dense core vesicles to the nerve terminals. Neuropeptides can undergo post-translational modifications (PTMs) including C-terminal amidation, N-terminal pyroglutamylation, acetylation, phosphorylation, sulfation, and glycosylation to generate the final mature neuropeptides [1, 26–29]. Mature neuropeptide release is mediated by prolonged increases in calcium levels at the axon terminals, leading to the fusion of the secretory vesicles to the cell membrane. In some cases, such as bradykinin and angiotensin II, further peptide processing by enzymes occurs after release to produce the mature peptide [30, 31]. Once released, peptides can either act at short range (within the synapse or local diffusion) [32] or act at a distance (‘peptide hormones’) [33], typically after being released into the bloodstream (Figure 1B) [14].
A neuropeptide precursor can contain one or more of the same or different mature peptides and proteolytic processing plays a key regulatory function [1, 34]. In addition, mature peptides within one neuropeptide precursor can belong to different neuropeptide families; for instance, the proopiomelanocortin (POMC) precursor contains the melanocortin neuropeptides ACTH and melanocyte-stimulating hormone (MSH) as well as the opioid peptide b-endorphin [26, 35]. Further neuropeptide diversity results from alternative splicing of neuropeptide genes, resulting in neuropeptide precursor isoforms as is the case for the calcitonin/calcitonin gene-related peptide (CGRP) family which is alternatively spliced to generate either calcitonin precursor mRNA or CGRP precursor mRNA [26, 36]. In this instance, alternative splicing is tissue-dependent and results in tissue-specific expression of calcitonin and CGRP [26, 36]. The nature of PTMs can also be tissue- and state-dependent as a result of differential expression of processing enzymes. For example, during fasting, a-MSH from POMC accumulates due to an increased rate of processing of POMC, likely as a result of altered expression of proprotein convertases [37]. In summary, neuropeptide precursors can contain more than one mature peptide, and gene splicing and precursor processing contribute to neuropeptide diversity.
A single neuropeptide may bind to a variety of receptor subtypes and thereby mediate a wide range of effects [38]. Vasopressin is a clear example for this since vasopressin activates all three vasopressin receptors (V1aR, V1bR, V2R) as well as the oxytocin receptor (OTR) with varying potencies [39, 40]. In blood vessels, for example, vasopressin acts on the V1aR to mediate pressor effects via smooth muscle contraction, whereas in the kidney vasopressin mediates antidiuretic effects through the V2R. In addition, different ligands binding at the same receptor subtype can activate different signalling pathways; binding of morphine or endogenous enkephalin to the µ-opiate receptor results in recruitment of distinct b-arrestin isoforms, which differentially affect desensitisation [14, 41]. Thus, neuropeptide signalling systems can be very complex as they involve several GPCR subtypes linked to multiple signalling cascades and are expressed in various tissues with different functions [42].
3. Neuropeptides in humans
So far, over 200 different neuropeptides from 47 different neuropeptide families have been identified in humans (source: NeuroPep [2]). They are distributed in both the central nervous system (CNS) and the peripheral nervous system (PNS), where they regulate numerous physiological processes including reproduction, fluid homeostasis, cardiovascular function, energy homeostasis, pain, memory and learning, and circadian rhythm (Figure 2) [1]. In some cases, neuropeptides play essential physiological roles, for example, pituitary adenylate cyclase-activating peptide (PACAP) is necessary for nerve growth, nerve differentiation, and neuroprotection, and PACAP gene knockout in mice leads to early death after birth [43]. In addition, neuropeptides modulate behaviour including social behaviour (oxytocin and vasopressin), feeding behaviour (leptin, gastrin, ghrelin, neuropeptide Y, oxytocin, and melanin-concentrating hormone), and stress and anxiety (neuromedins, galanin, cholecystokinin, melanin-concentrating hormone, neuropeptide S, neuropeptide Y, somatostatin, tachykinins, urotensin-2, oxytocin, vasopressin). A single neuropeptide can contribute to and regulate many different physiological processes and/or behaviours. This is mostly mediated through tissue-dependent release and receptor subtype expression. For example, V1bR activation in the paraventricular nucleus of the hypothalamus initiates ACTH secretion signalling whereas V1bR activation in the colon mediates proinflammatory properties [44].
Figure 2. Selected neuropeptides and the physiological processes they are involved in.
MCH, melanin-concentrating hormone; CRH, corticotropin-releasing hormone; NPY, neuropeptide Y; GnRH, gonadotropin-releasing hormone. This figure has been designed using resources from Freepik.com.
Although some neuropeptides are crucial for survival and development, many are modulatory in nature or play a minor role [41]. Subsequently, neuropeptide gene knockout mice often show little change in phenotype [41]. For example, vasoactive intestinal peptide is a immunoregulatory neuropeptide, yet vasoactive intestinal peptide knock out mice survived weaning and have normal basal immune characteristics [45]. In addition, there is evidence of functional compensation of neuropeptide signalling systems; oxytocin knockout mice are unable to release milk but have otherwise largely normal parturition and maternal behaviour, possibly due to compensation from the closely-related vasopressin signalling system [46].
Under pathological conditions neuropeptide signalling can play a more important role and become therapeutically relevant [41]. For example, the vasoconstriction of blood vessels caused by vasopressin binding to V1aR in the vascular system plays a minor role in the regulation of blood pressure in a healthy individual. However, under pathophysiological conditions such as severe extracellular fluid volume depletion, hypotension, general anaesthesia, or haemorrhage, high levels of vasopressin in the blood can significantly exacerbate vasopressor effects [44].
4. Clinical application of neuropeptides
Neuropeptides are implicated in multiple physiological processes and, consequently, numerous disease processes [47]. Disease areas where neuropeptides play a key role and where neuropeptide signalling systems are a validated therapeutic target or are actively being investigated as a therapeutic target include obesity, heart failure, epilepsy, sleep disorders, autism and depression [47–55].
Both neuropeptide analogues and small molecules targeting neuropeptide receptors have been developed for therapeutic treatments ranging from cardiovascular disorders, diabetes, pain, and labour to gastrointestinal disorders. Table 1 provides an overview of approved drugs targeting neuropeptide signalling systems. A range of other neuropeptide targets are also under investigation [47].
Table 1. Approved drugs targeting neuropeptide receptors and neuropeptides used as biomarkers or diagnostic tools.a .
DRUGS | ||
---|---|---|
Receptor | Receptor subtypes | Drug and indication |
Angiotensin (AT) receptor | AT1 and AT2 receptors |
Small molecules:
Valsartan, Losartan, Irbesartan, Olmesartan, Eprosartan, Telmisartan, AT1 antagonists for hypertension; Candesartan, AT1 antagonist for chronic heart failure. |
Bradykinin receptors | B1, B2 receptors |
Peptide:
Icatibant, selective B2 receptor antagonist, for hereditary angioedema. |
Calcitonin (CT) receptor | CT receptor |
Peptides:
Synthetic salmon calcitonin or synthetic human calcitonin for the treatment of hypercalcemia (postmenopausal osteoporosis, Paget’s disease of bone, Sudeck’s atrophy, and malignancy-associated hypercalcemia)[174]. |
Endothelin (ET) receptors | ETA and ETB receptors |
Small molecules:
Bosentan and Macitentan, dual receptor antagonists; Ambrisentan, a selective ETA receptor antagonist; All used for the treatment of pulmonary hypertension [175]. |
Glucagon receptors | Glucagon receptor, GLP-1 receptor b, GLP-2 receptor |
Peptides:
Recombinant glucagon, for severe hypoglycaemia; Exenatide, liraglutide, albiglutide, lixisenatide, dulaglutide, semaglutide, GLP-1 receptor agonists, used for diabetes treatment; Teduglutide, human GLP-2 analogue, used for short bowel syndrome, malabsorption. |
Gonadotropin-releasing hormone (GnRH) receptor | GnRH receptor |
Peptides:
Nafarelin, GnRH receptor agonist used for treatment of central precocious puberty and endometriosis; Cetrorelix, GnRH receptor antagonist used to inhibit premature luteinizing hormone surges in controlled ovarian stimulation; Elagolix, GnRH receptor antagonist, used for management of moderate to severe pain associated with endometriosis; Degarelix, GnRH receptor antagonist, used for management of advanced prostate cancer; Leuprolide, GnRH agonist, used to treat prostate cancer, endometriosis, uterine fibroids and premature puberty. |
Growth hormone receptor | Growth hormone receptor |
Peptide / protein:
Somatotropin, recombinant human growth hormone, used for growth hormone deficiency, Turner syndrome, Noonan syndrome, Prader-Willi syndrome, short stature homeobox-containing gene deficiency, chronic renal insufficiency, idiopathic short stature and children small for gestational age; Pegvisomant, growth hormone receptor antagonist, used for acromegaly. |
Growth hormone releasing hormone (GHRH) receptor | GHRH receptor |
Peptides:
Sermorelin, GHRH1–29 peptide fragment, for treatment of growth failure in children; Tesamorelin, GHRH1–44 peptide fragment, for lipodystrophy in HIV patients. |
Insulin receptor | Insulin receptor, IGF-1 c receptor |
Peptides:
Human insulin, used for glycaemic control in patients with diabetes mellitus; Mecasermin, recombinant human IGF-1, approved for growth failure in children with primary insulin-like growth factor-1 deficiency or growth hormone gene deletion. |
Leptin receptor | Leptin receptor |
Peptide:
Metreleptin, a leptin analogue used for diabetes and/or hypertriglyceridemia. |
Melanocortin (MC) receptors | MC1-5 receptors |
Peptide:
Bremelanotide, MC1, MC3-5 agonist, used for premenopausal women with hypoactive sexual desire disorder. |
Natriuretic peptide receptors (NPR) | NPR-A, -B, and -C receptors |
Small molecules:
Nitroprusside, Nitroglycerin, Isosorbide dinitrate, Erythrityl tetranitrate, and Amyl nitrite, act as nitric oxide source, vasodilators used for chest pain and high blood pressure. Peptide: Nesiritide, recombinant human BNP d for congestive heart failure. |
Opioid receptors | µ-, δ-, κ-opioid receptors |
Small molecules:
Butorphanol, Tramadol, Sufentanil, Alfentanil, Hydrocodone, Fentanyl, Dextropropoxyphene, Morphine, Codeine, Hydromorphone, Meperidine, µ-, δ-, and/or κ-opioid receptor agonists for pain management, anaesthetic, analgesia; Naltrexone, Nalbuphine, Buprenorphine, Dezocine, Pentazocine, Naloxone, Levallorphan, µ-, δ-, and/or κ-opioid receptor antagonists for pain and/or addiction management, treatment of narcotic depression. |
Orexin (OX) receptors | OX1, OX2 receptors |
Small molecule:
Suvorexant, OX1R and OX2R antagonist used for insomnia. |
Parathyroid hormone (PTH) type 1 receptor | PTH type 1 receptor |
Peptides:
Teriparatide, recombinant human PTH used in treatment of osteoporosis; Abaloparatide, PTH-related protein analogue, used for post-menopausal women with osteoporosis. |
Somatostatin (SST) receptors | SST1-5 receptors |
Peptides:
Octreotide, lanreotide, SST2 / SST5 receptor agonists used for acromegaly and to reduce cancer chemotherapy side effects; Pasireotide, pan agonist used for Cushing’s Disease; |
Tachykinin receptors | NK1, NK2, NK3, Neuromedin-K receptors |
Small molecules:
Fosaprepitant, Aprepitant, Netupitant, Rolapitant, NK1 antagonist used for chemotherapy-induced emesis. |
Oxytocin (OT) and vasopressin receptors | OT, V1a, V1b, V2 receptors |
Peptides:
Atosiban, OTR antagonist used as labour suppressant and IVF treatment; Pitocin and Carbetocin, OTR agonists used for labour induction, post-partum bleeding, and haemorrhage; Desmopressin, V2R agonist for diabetes insipidus and nocturnal enuresis; Terlipressin, V2R agonist used to stop bleeding in the oesophagus. Small molecules: Conivaptan, V1aR and V2R antagonist used for hyponatremia; Tolvaptan, V2R antagonist used for hyponatremia. |
| ||
BIOMARKERS OR DIAGNOSTIC TOOLS | ||
Neuropeptide | Receptor | Compound and application |
| ||
ATCH | MC2 receptor | Diagnostic agent used to screen for adrenocortical insufficiency. |
BNP | n.a.e | Diagnostic marker for heart failure [176]. |
Chromogranin A | n.a. | An indicator for pancreas and prostate cancer in carcinoid syndrome [177]. |
Corticotropin-releasing hormone (CRH) | CRH receptor 1 | Corticorelin, synthetic human CRH, is used to test the HPA axis and ATCH secretion. |
Gastrin | n.a. | Diagnostic marker for gastrin-secreting tumours, atrophic gastritis, gastric ulcers, and pernicious anaemia [178]. |
Ghrelin | Ghrelin receptor | Ghrelin mimetic Macimorelin is used to diagnose adult GH deficiency. |
GnRH | GnRH receptor | Gonadorelin, synthetic GnRH, is used to evaluate anterior pituitary performance. |
Insulin | Insulin receptor | Biomarker for diabetes (complementary); used for identification of insulinomas; insulin-induced hypoglycaemia test used to diagnose suspected ACTH or growth hormone deficiency [179]. |
Pancreatic polypeptide | n.a. | Diagnostic test of vagal nerve function [180]. |
Procalcitonin Prolactin | n.a. n.a. | A biomarker of infection and sepsis [181, 182]. Diagnostic marker in sex hormone check-up; epilepsy type diagnosis [21]. |
Thyrotropin-releasing hormone (TRH) | TRH receptor | Protirelin, a TRH analogue, is used to test anterior pituitary gland function to aid thyroid disorder diagnosis [183]. |
Somatostatin | SST1–5 receptors | Various radiolabelled somatostatin analogues used for cancer treatment (e.g. Edotreotide gallium Ga-68 and Lutetium Lu 177 dotatate). |
Information from DrugBank database (www.drugbank.ca) [184] where an ‘approved’ drug has been approved in at least one jurisdiction, anywhere;
GLP, Glucagon-like peptide;
IGF, insulin-like growth factor;
BNP, B-type natriuretic peptide;
n.a. Not applicable.
There are clear examples of the clinical importance of neuropeptides including opioid analgesics, insulin treatment for type 2 diabetes mellitus, oxytocin to induce labour, and parathyroid hormone to treat osteoporosis (Table 1). However, many trials targeting neuropeptide signalling systems have been disappointing in part due to lack of efficacy, receptor dimerization, unexpected side effects, and dosage-dependent effects [41, 47, 56, 57]. One potential cause of lack of efficacy is the complexity of neuropeptide signalling, which displays temporal variations and signalling redundancy, but also a lack of knowledge on signalling mechanisms [41, 47, 58]. Consequently, it is no longer the expectation that a single neuropeptide will cure a single disease and there is much scope for targeting neuropeptide signalling systems for therapeutic treatment in a wide range of diseases [41].
Neuropeptides, and in some cases neuropeptide precursors, are also valuable biomarkers and diagnostic probes to aid disease diagnosis and prognosis (Table 1). As the various roles of neuropeptides in (patho)physiological processes are elucidated, their value as biomarkers and diagnostic markers is often assessed.
Neuropeptide signalling systems represent a great opportunity for the development of therapeutics, in particular for peptide therapeutics. An in-depth understanding of the mechanistic roles of neuropeptides in health and disease is essential to translate their therapeutic potential into drug targets, therapeutic leads, diagnostics and biomarkers. Although technical advances within next-generation sequencing and mass spectrometry have greatly facilitated neuropeptide discovery and characterisation of their signalling systems [59–62], most neuropeptide signalling systems remain poorly understood [14]. In addition to their complex signalling pathways (multiple G protein-dependent and -independent pathways), neuropeptides have numerous characteristics that make them difficult to identify using mass spectrometry and sequencing technology, especially because of the high occurrence of PTMs, and the existence of isoforms [62]. Identification based on mass is further complicated by (i) varying and typically low in vivo concentrations (up to 1,000-fold lower than classical neurotransmitters); (ii) lack of enzymatic fragments, requiring highly-sensitive proteomic detection methods; and (iii) rapid in vivo degradation [62]. Consequently, the therapeutic potential of many neuropeptide systems remain unrealised [41]. Subtype selective ligands that can selectively inhibit or stimulate neuropeptide receptors are key pharmacological tools to dissect their functions in health and disease [58]. These ligands also constitute therapeutic leads. Such pharmacological toolboxes already exist for some neuropeptide signalling systems. For instance, bradykinin acts via two receptors, B1, B2, and receptor-selective agonists and antagonists have been developed for both receptors [63, 64].
5. Neuropeptides in venoms – an underexplored field
Endogenous neuropeptides from animals throughout the animal kingdom represent a solid starting point for discovery. Neuropeptide receptor sequence conservation means that there are numerous occurrences of neuropeptides from one phylum activating the corresponding receptors in another phylum. For example, vertebrate substance P is able to activate a Drosophila tachykinin receptor expressed in Xenopus oocytes [65], and mammalian neuropeptide Y peptides can activate the Drosophila neuropeptide F receptor, the invertebrate neuropeptide Y receptor orthologue [66]. Small sequence variations in ligands and receptors across species result in diverse pharmacological profiles including differences in selectivity, affinity and function (e.g. agonism, antagonism, and biased signalling) [67, 68]. This diversity can be exploited to benefit human health as neuropeptides identified from different organisms represent a rich source for molecular probes and therapeutic leads to dissect neuropeptide signalling in health and disease. This hypothesis has been underpinned by multiple studies, including new oxytocin and vasopressin ligands identified from insects [69, 70], salmon calcitonin used to treat hypercalcemia [71]; and pramlintide (based on rat amylin) to reduce blood glucose levels in type 1 and type 2 diabetes mellitus patients [72].
Another, and maybe even richer, source for ligands targeting neuropeptide signalling systems is animal venom. Venoms are highly complex mixtures mostly made up of proteins and peptides (~90%) that disrupt normal biochemical and physiological processes in the prey/predator for the benefit of the venomous animal [73–76]. Venom peptides have an array of targets including receptors and enzymes affecting biological functions in various locations including the CNS, PNS, blood and muscle tissue [77]. Importantly, venom components have undergone strong natural selection for in vivo stability, potency, selectivity and delivery to engage in precise molecular interactions exogenously to warrant their survival through defence and predation [73–76, 78, 79]. Many of these features are also highly desirable in drug development, thus venoms represent an advantageous drug discovery starting point compared to combinatorial or DNA/RNA display libraries [78, 80–83]. Indeed, venoms are a highly successful source for drug leads with five venom-derived peptide drugs on the market, including Exenatide (Byetta®) and Lixisentide (Adlyxin, Lyxumia) from the Gila monster to treat type 2 diabetes [84, 85]; Eptifibatide (Integrilin®), an antiplatelet agent from the rattlesnake Sistrurus miliarius barbourin [86]; and Bivalirudin (Angiomax, Angiox) from the leech Hirudo medicinalis, which is used as an anticoagulant agent [87]. Furthermore, conotoxins from the marine predatory cone snail have transformed neuropathic pain research with one conotoxin drug approved to treat severe chronic pain (Ziconatide, Prialt®) [88]. Spider toxins have also provided outstanding therapeutic leads for stroke, pain, and epilepsy through their actions on ion channels Nav1.1 [89, 90], Nav1.7 [91, 92], and acid-sensing ion channels 1a (ASIC1a) [93], respectively. Chlorotoxin, isolated from the venom of the scorpion Leiurus quinquestriatus and initially characterised as a voltage-gated chloride channel ligand [94], was subsequently identified as a potent and selective matrix metalloproteinase-2 receptor ligand and is currently undergoing clinical trials to visualise glioblastomas [95]. Finally, venom peptides and their use as receptor-subtype selective pharmacological probes have revolutionised our understanding of many human receptors and links to disease [96–102]. For instance, bradykinin-potentiating peptides, originally identified in the venom of the snake Bothrops jararaca, led to the development of a new class of hypotensive drugs, angiotensin converting enzyme inhibitors, including captopril, for the treatment of high blood pressure and heart failure [103].
Venom proteins and peptides are a result of gene duplication and selective expression of an endogenous protein/peptide in the venom gland, a process called neofunctionalization [73, 75, 76, 104–107]. Neuropeptides are no exception, and at least 176 different neuropeptides from 16 different neuropeptide families have been found in the venom gland transcriptomes or venoms of 107 different species, including spiders, scorpions, insects, centipedes, cone snails, octopus, monotremes, snakes, lizards and fish (Table 2).
Table 2. Neuropeptides in animal venoms (proteomic evidence and venom organ transcriptome evidence).
Neuropeptide family | Neuropeptide | Species | Taxonomic group | UniProt/ Genbank/ PMID ID |
---|---|---|---|---|
Bradykinin | Megascoliakinin | Megascolia flavifrons | Insect | P12797 |
Bradykinin | Thr6-Bradykinin | Polybia occidentalis | Insect | P0DM70 |
CCAP a | ConoCAP-a | Conus villepinii | Mollusc | E3PQQ8 |
CCAP | ConoCAP-Gm | Conus gloriamus | Mollusc | 28531118 |
Elevenin | Elevenin-Vc1 | Conus victoriae | Mollusc | A0A0F7YZQ7 |
Endothelin | Bibrotoxin | Atractaspis bibroni | Lepidosauromorpha (Lamprophiidae) | P80163 |
Endothelin | Sarafotoxin-A, Serisoform, S6A | Atractaspis engaddensis | Lepidosauromorpha (Lamprophiidae) | P13209 |
Endothelin | Sarafotoxin-A, Thrisoform | Atractaspis engaddensis | Lepidosauromorpha (Lamprophiidae) | P13208 |
Endothelin | Sarafotoxin-B, S6B | Atractaspis engaddensis | Lepidosauromorpha (Lamprophiidae) | P13208 |
Endothelin | Sarafotoxin-C, S6C | Atractaspis engaddensis | Lepidosauromorpha (Lamprophiidae) | P13208 |
Endothelin | Sarafotoxin-E, S6E | Atractaspis engaddensis | Lepidosauromorpha (Lamprophiidae) | P13208 |
Endothelin | Sarafotoxin-i1 | Atractaspis irregularis | Lepidosauromorpha (Lamprophiidae) | P0DJK0 |
Endothelin | Sarafotoxin-i2 | Atractaspis irregularis | Lepidosauromorpha (Lamprophiidae) | P0DJK1 |
Endothelin | Sarafotoxin-m (SRTX-m) |
Atractaspis
microlepidota microlepidota |
Lepidosauromorpha (Lamprophiidae) | Q6RY99 |
Endothelin | Sarafotoxin-m1 (SRTX-m1) |
Atractaspis
microlepidota microlepidota |
Lepidosauromorpha (Lamprophiidae) | Q6RY100 |
Endothelin | Sarafotoxin-m2 (SRTX-m2) |
Atractaspis
microlepidota microlepidota |
Lepidosauromorpha (Lamprophiidae) | Q6RY101 |
Endothelin | Sarafotoxin-m3 (SRTX-m3) |
Atractaspis
microlepidota microlepidota |
Lepidosauromorpha (Lamprophiidae) | Q6RY102 |
Endothelin | Sarafotoxin-m4 (SRTX-m4) |
Atractaspis
microlepidota microlepidota |
Lepidosauromorpha (Lamprophiidae) | Q6RY103 |
Enkephalin | BmK-YA | Buthus martensii | Arachnid (scorpion) | 22792309 |
Enkephalin | BmK-YA | Mesobuthus martensii | Arachnid (scorpion) | Q9Y0X6 |
Enkephalin | His4-BmK-YA | Buthus martensii | Arachnid (scorpion) | 22792309 |
Enkephalin | Met-enkephalin | Meiacanthus atrodorsalis | Actinopterygii | P0DP56 |
Enkephalin | Met-enkephalin-His-Asp | Meiacanthus atrodorsalis | Actinopterygii | P0DP56 |
Enkephalin | Met-enkephalin-Se | Meiacanthus r atrodorsalis | Actinopterygii | P0DP56 |
Enkephalin | Synenkephalin | Meiacanthus atrodorsalis | Actinopterygii | P0DP56 |
FARP b | Conorfamide Tx1.3 | Conus textile | Mollusc | P0DL71 |
FARP | Conorfamide-As1 | Conus cancellatus | Mollusc | P0DQH7 |
FARP | Conorfamide-As2 | Conus cancellatus | Mollusc | P0DQH8 |
FARP | Conorfamide-Gm | Conus gloriamus | Mollusc | 28531118 |
FARP | Conorfamide-Sr1 | Conus spurius | Mollusc | P58805 |
FARP | Conorfamide-Sr2 | Conus spurius | Mollusc | P85871 |
FARP | Conorfamide-Sr3 | Conus spurius | Mollusc | P0DM28 |
FARP | Conorfamide-Tx1 | Conus textile | Mollusc | P0DM26 |
FARP | Conorfamide-Tx2 | Conus textile | Mollusc | P0DM27 |
FARP | Conorfamide-Vc1 | Conus victoriae | Mollusc | P0DOZ7 |
GLP-1 c | Exendin-4 | Heloderma suspectum | Lepidosauromorpha (lizard; Helodermatidae) | 8396143 |
GLP-1 | GLP-1 like | Ornithorhynchus anatinus | Monotreme | A0A1L3MY50 |
Insulin | Cono-insulin Pl1 | Conus planorbis | Mollusc | KX034591 |
Insulin | Cono-insulin Tx1 | Conus textile | Mollusc | A0A0B5A7N8 |
Insulin | Cono-insulin Tx2 | Conus textile | Mollusc | KX034587 |
Insulin | Cono-insulin Bn1 | Conus bandanus | Mollusc | KX034581.1 |
Insulin | Cono-insulin Eb1 | Conus eburneus | Mollusc | KX034589 |
Insulin | Cono-insulin Eb2 | Conus eburneus | Mollusc | KX034590 |
Insulin | Cono-insulin F1 | Conus floridulus | Mollusc | A0A0B5AC98 |
Insulin | Cono-insulin F2 | Conus floridulus | Mollusc | A0A0B5ADT9 |
Insulin | Cono-insulin F2b | Conus floridulus | Mollusc | A0A0B5A7N1 |
Insulin | Cono-insulin F2c | Conus floridulus | Mollusc | A0A0B5A7N5 |
Insulin | Cono-insulin G1 | Conus geographus | Mollusc | A0A0B5AC95 |
Insulin | Cono-insulin G121 | Conus geographus | Mollusc | BAO65654.1 |
Insulin | Cono-insulin G1b | Conus geographus | Mollusc | A0A0B5A8Q2 |
Insulin | Cono-insulin G1c | Conus geographus | Mollusc | A0A0B5A7P2 |
Insulin | Cono-insulin G2 | Conus geographus | Mollusc | A0A0B5ABD9 |
Insulin | Cono-insulin G2b | Conus geographus | Mollusc | A0A0B5ADT3 |
Insulin | Cono-insulin G3 | Conus geographus | Mollusc | A0A0B5A8P4 |
Insulin | Cono-insulin G3b | Conus geographus | Mollusc | A0A0B5AC86 |
Insulin | Cono-insulin Im1 | Conus imperialis | Mollusc | A0A0B5A7M7 |
Insulin | Cono-insulin Im2 | Conus imperialis | Mollusc | A0A0B5A8P8 |
Insulin | Cono-insulin K1 | Conus kinoshitai | Mollusc | AZS18883.1 |
Insulin | Cono-insulin K2 | Conus kinoshitai | Mollusc | AZS18884.1 |
Insulin | Cono-insulin M1 | Conus marmoreus | Mollusc | A0A0B5A8Q6 |
Insulin | Cono-insulin M2 | Conus marmoreus | Mollusc | KX034588 |
Insulin | Cono-insulin Me1 | Conus memiae | Mollusc | A0A0B5ADV0 |
Insulin | Cono-insulin Pu1 | Conus pulicarius | Mollusc | KX034592 |
Insulin | Cono-insulin Q1 | Conus quercinus | Mollusc | A0A0B5ABE6 |
Insulin | Cono-insulin Q1b | Conus quercinus | Mollusc | A0A0B5ABE4 |
Insulin | Cono-insulin T1 | Conus tulipa | Mollusc | A0A0B5ADU4 |
Insulin | Cono-insulin T2 | Conus tulipa | Mollusc | A0A0B5AC90 |
Insulin | Cono-insulin T2 | Conus tulipa | Mollusc | MH879035.1 |
Insulin | Cono-insulin T3 | Conus tulipa | Mollusc | A0A0B5ABD5 |
Insulin | Cono-insulin Tr1 | Conus tribblei | Mollusc | KX034595 |
Insulin | Cono-insulin Ts1 | Conus tessulatus | Mollusc | KX034593 |
Insulin | Cono-insulin Ts2 | Conus tessulatus | Mollusc | KX034594 |
Insulin | Cono-insulin Va1 | Conus varius | Mollusc | KX034596 |
Insulin | Cono-insulin Va2 | Conus varius | Mollusc | KX034597 |
Insulin | Cono-insulin Vc1 | Conus victoriae | Mollusc | A0A0F7YYV0 |
Insulin | Cono-insulin Vi1 | Conus virgo | Mollusc | AOF40168.1 |
Insulin | Insulin | Conus lividus | Mollusc | ATG85034.1 |
Insulin | Insulin partial | Conus araneosus | Mollusc | AQM52451.1 |
Insulin | Insulin-like protein | Conus amadis | Mollusc | AKZ17800.1 |
Insulin | Insulin-like protein partial | Conus buxeus loroisii | Mollusc | AMB57283.1 |
Insulin | Insulin-like protein partial | Conus frigidus | Mollusc | ARU12135.1 |
Insulin | Insulin-like protein partial | Conus litteratus | Mollusc | ARS01446.1 |
Insulin | Insulin-related protein | Conus ermineus | Mollusc | AXL95338.1 |
Insulin | Insulin-related protein | Conus ermineus | Mollusc | AXL95359.1 |
Insulin | Insulin-related protein | Conus ermineus | Mollusc | AXL95374.1 |
Insulin | Insulin-related protein | Conus ermineus | Mollusc | AXL95395.1 |
Insulin | Insulin-related protein | Conus ermineus | Mollusc | AXL95461.1 |
Insulin | Insulin-related protein | Conus ermineus | Mollusc | AXL95708.1 |
Insulin | Tu304 | Conus tulipa | Mollusc | 30669642 |
Insulin | Tu478 | Conus tulipa | Mollusc | 30669642 |
Insulin | Tu479 | Conus tulipa | Mollusc | 30669642 |
ITP/CHH d | α-latrotoxin associated LMWPe | Latrodectus geometricus | Arachnid (spider) | V9QF69 |
ITP/CHH | α-latrotoxin associated LMWP | Latrodectus hesperus | Arachnid (spider) | V9QFH5 |
ITP/CHH | α-latrotoxin associated LMWP | Latrodectus tredecimguttatus | Arachnid (spider) | P49125 |
ITP/CHH | α-latrotoxin associated LMWP 2 | Latrodectus geometricus | Arachnid (spider) | V9QFG7 |
ITP/CHH | α-latrotoxin associated LMWP 2 | Latrodectus hesperus | Arachnid (spider) | V9QEI7 |
ITP/CHH | α-latrotoxin associated LMWP 2 | Latrodectus tredecimguttatus | Arachnid (spider) | Q4U4N3 |
ITP/CHH | α-latrotoxin associated LMWP 2 | Steatoda grossa | Arachnid (spider) | V9QFH8 |
ITP/CHH | α-latrotoxin associated LMWP SGV150-311 | Steatoda grossa | Arachnid (spider) | V9QFG9 |
ITP/CHH | α-latrotoxin associated LMWP SGV242-280 | Steatoda grossa | Arachnid (spider) | V9QER4 |
ITP/CHH | BLTX280 | Nephila pilipes | Arachnid (spider) | A0A076KUK2 |
ITP/CHH | k-scoloptoxin(03)-Ssd1a | Scolopendra subspinipes dehaani | Myriapod | A0A0R4I951 |
ITP/CHH | k-scoloptoxin(03)-Ssm1a | Scolopendra mutilans | Myriapod | I6RU32 |
ITP/CHH | k-scoloptoxin(03)-Ssm1d | Scolopendra mutilan | Myriapod | I6RU46 |
ITP/CHH | k-scoloptoxin(03)-Ssm1e | Scolopendra mutilan | Myriapod | I6RA73 |
ITP/CHH | µ-scoloptoxin(03)-Ssm2a | Scolopendra mutilan | Myriapod | P0DL36 |
ITP/CHH | U-scoloptoxin(03)-Sa1b | Phoneutria nigriventer | Myriapod | P0DPW8 |
ITP/CHH | U-scoloptoxin(03)-Ssd1b | Polistes lanio | Insect | P0DPV3 |
ITP/CHH | U1-agatoxin-Ta1a | Scolopendra mutilan | Myriapod | O46166 |
ITP/CHH | U1-agatoxin-Ta1b | Scolopendra subspinipes dehaani | Myriapod | O46167 |
ITP/CHH | U1-agatoxin-Ta1c | Scolopendra alternans | Myriapod | O46168 |
ITP/CHH | Venom protein 10 | Microctonus hyperodae | Insect | A9YME6 |
Myoactive tetradeca-peptide | Conomap-Vt | Conus vitulinius | Mollusc | P0C260 |
Natriuretic peptide | CNP f | Philodryas olfersii | Lepidosauromorpha (colubrid) | Q09GK2 |
Natriuretic peptide | CNP | Bothrops insularis | Lepidosauromorpha (viper) | P68515 |
Natriuretic peptide | CNP | Cerastes cerastes | Lepidosauromorpha (viper) | A8YPR9 |
Natriuretic peptide | CNP | Crotalus atrox | Lepidosauromorpha (viper) | P0CV87 |
Natriuretic peptide | CNP | Crotalus durissus collilineatus | Lepidosauromorpha (viper) | Q2PE51 |
Natriuretic peptide | CNP | Crotalus durissus terrificus | Lepidosauromorpha (viper) | Q90Y12 |
Natriuretic peptide | CNP | Echis ocellatus | Lepidosauromorpha (viper) | A8YPR6 |
Natriuretic peptide | CNP | Gloydius blomhoffii | Lepidosauromorpha (viper) | P01021 |
Natriuretic peptide | CNP | Lachesis muta muta | Lepidosauromorpha (viper) | Q27J49 |
Natriuretic peptide | CNP | Sistrurus catenatus edwardsii | Lepidosauromorpha (viper) | B0VXV8 |
Natriuretic peptide | CNP | Trimeresurus gramineus | Lepidosauromorpha (viper) | P0C7P6 |
Natriuretic peptide | CNP 2 | Takifugu rubripes | Actinopterygii | Q805D5 |
Natriuretic peptide | CNP 39 | Ornithorhynchus anatinus | Monotreme | P84715 |
Natriuretic peptide | Tf-CNP | Protobothrops flavoviridis | Lepidosauromorpha (viper) | P0C7P5 |
Natriuretic peptide | Natriuretic peptide | Rhabdophis tigrinus tigrinus | Lepidosauromorpha (colubrid) | D1MZV3 |
Natriuretic peptide | Natriuretic peptide | Heloderma horridum | Lepidosauromorpha (lizard; Helodermatidae) | E8ZCG5 |
Natriuretic peptide | Natriuretic peptide | Heloderma suspectum cinctum | Lepidosauromorpha (lizard; Helodermatidae) | C6EVG7 |
Natriuretic peptide | Natriuretic peptide | Micrurus altirostris | Lepidosauromorpha (elapid) | F5CPE8 |
Natriuretic peptide | AsNP-a (Fragment) | Austrelaps superbus | Lepidosauromorpha (elapid) | A8S6B3 |
Natriuretic peptide | BF131 | Bungarus flaviceps flaviceps | Lepidosauromorpha (elapid) | D5J9S0 |
Natriuretic peptide | BM026 | Bungarus multicinctus | Lepidosauromorpha (elapid) | P0DMD5 |
Natriuretic peptide | CnNP-a (Fragment) | Cryptophis nigrescens | Lepidosauromorpha (elapid) | Q1ZYW1 |
Natriuretic peptide | CnNP-b (Fragment) | Cryptophis nigrescens | Lepidosauromorpha (elapid) | Q1ZYW0 |
Natriuretic peptide | Coa_NP1 | Crotalus oreganus abyssus | Lepidosauromorpha (viper) | B3EWY3 |
Natriuretic peptide | Coa_NP2 | Crotalus oreganus abyssus | Lepidosauromorpha (viper) | B3EWY2 |
Natriuretic peptide | DNP | Dendroaspis angusticeps | Lepidosauromorpha (elapid) | P28374 |
Natriuretic peptide | DNP-2 | Dendroaspis angusticeps | Lepidosauromorpha (elapid) | Q8QGP7 |
Natriuretic peptide | GNP1 | Varanus varius | Lepidosauromorpha (lizard; Anguidae) | Q2XXL8 |
Natriuretic peptide | HsNP-a (Fragment) | Hoplocephalus stephensii | Lepidosauromorpha (elapid) | Q3SAE6 |
Natriuretic peptide | HsNP-b (Fragment) | Hoplocephalus stephensii | Lepidosauromorpha (elapid) | Q3SAE5 |
Natriuretic peptide | Mc-NP | Micrurus corallinus | Lepidosauromorpha (elapid) | P79799 |
Natriuretic peptide | Mf-NP | Micrurus fulvius | Lepidosauromorpha (elapid) | B8K1V9 |
Natriuretic peptide | Na-NP | Naja atra | Lepidosauromorpha (elapid) | D9IX97 |
Natriuretic peptide | NP2 | Crotalus durissus cascavella | Lepidosauromorpha (viper) | P0DKY6 |
Natriuretic peptide | NsNP-a (Fragment) | Notechis scutatus scutatus | Lepidosauromorpha (elapid) | Q3SAE8 |
Natriuretic peptide | NsNP-b (Fragment) | Notechis scutatus scutatus | Lepidosauromorpha (elapid) | Q3SAE7 |
Natriuretic peptide | Oh-NP | Ophiophagus hannah | Lepidosauromorpha (elapid) | D9IX98 |
Natriuretic peptide | OmNP-d (Fragment) | Oxyuranus microlepidotus | Lepidosauromorpha (elapid) | Q3SAF8 |
Natriuretic peptide | OmNP-e (Fragment) | Oxyuranus microlepidotus | Lepidosauromorpha (elapid) | Q3SAF7 |
Natriuretic peptide | OsNP-d (Fragment) | Oxyuranus scutellatus scutellatus | Lepidosauromorpha (elapid) | Q3SAX8 |
Natriuretic peptide | PaNP-a (Fragment) | Pseudechis australis | Lepidosauromorpha (elapid) | Q3SAF5 |
Natriuretic peptide | PaNP-b (Fragment) | Pseudechis australis | Lepidosauromorpha (elapid) | Q3SAF4 |
Natriuretic peptide | PaNP-c (Fragment) | Pseudechis australis | Lepidosauromorpha (elapid) | Q3SAF3 |
Natriuretic peptide | PaNP-d (Fragment) | Pseudechis australis | Lepidosauromorpha (elapid) | Q3SAF2 |
Natriuretic peptide | PNP | Pseudocerastes persicus | Lepidosauromorpha (viper) | P82972 |
Natriuretic peptide | PpNP-a (Fragment) | Pseudechis porphyriacus | Lepidosauromorpha (elapid) | Q3SAF1 |
Natriuretic peptide | PpNP-b (Fragment) | Pseudechis porphyriacus | Lepidosauromorpha (elapid) | Q3SAF0 |
Natriuretic peptide | PtNP-a (Fragment) | Pseudonaja textilis | Lepidosauromorpha (elapid) | Q3SAF6 |
Natriuretic peptide | TcNP-a (Fragment) | Tropidechis carinatus | Lepidosauromorpha (elapid) | Q3SAE9 |
Natriuretic peptide | TNP-a | Oxyuranus microlepidotus | Lepidosauromorpha (elapid) | P83224 |
Natriuretic peptide | TNP-a | Oxyuranus scutellatus canni | Lepidosauromorpha (elapid) | P83226 |
Natriuretic peptide | TNP-a | Oxyuranus scutellatus scutellatus | Lepidosauromorpha (elapid) | P83225 |
Natriuretic peptide | TNP-b | Oxyuranus microlepidotus | Lepidosauromorpha (elapid) | P83227 |
Natriuretic peptide | TNP-b | Oxyuranus scutellatus canni | Lepidosauromorpha (elapid) | P83229 |
Natriuretic peptide | TNP-b | Oxyuranus scutellatus scutellatus | Lepidosauromorpha (elapid) | P83228 |
Natriuretic peptide | TNP-c | Oxyuranus scutellatus canni | Lepidosauromorpha (elapid) | P83231 |
Natriuretic peptide | TsNP | Tityus serrulatus | Arachnid | P0DMD6 |
Natriuretic peptide | natriuretic/ helokinestatin-Cwar1 | Celestus warreni | Lepidosauromorpha (lizard; Anguidae) | E2E4J4 |
Natriuretic peptide | natriuretic/ helokinestatin-Ginf1 | Gerrhonotus infernalis | Lepidosauromorpha (lizard; Anguidae) | E2E4J3 |
Natriuretic peptide | Peptide TNP-c | Oxyuranus microlepidotus | Lepidosauromorpha (elapid) | P83230 |
Neuropeptide Y | Cono-NPY | Conus praecellens | Mollusc | 28922871 |
Neuropeptide Y | Cono-NPY-Gm | Conus gloriamus | Mollusc | 28531118 |
Neuropeptide Y | Neuropeptide Y | Meiacanthus atrodorsalis | Actinopterygii | P0DP55 |
Neuropeptide Y | Neuropeptide Y1 | Conus betulinus | Mollusc | P0CJ22 |
Neuropeptide Y | Neuropeptide Y2 | Conus betulinus | Mollusc | P0CJ23 |
Neurotensin | Contulakin G | Conus geographus | Mollusc | Q9XYR5 |
Neuro-hypophyseal | Conopressin Cn | Conus consors | Mollusc | 22079299 |
Neuro-hypophyseal | Conopressin G | Conus andremenezi | Mollusc | ATF27388.1; ATF27387.1 |
Neuro-hypophyseal | Conopressin G | Conus araneosus | Mollusc | ATJ04126.1 |
Neuro-hypophyseal | Conopressin G | Conus buxeus loroisii | Mollusc | ATJ04131.1 |
Neuro-hypophyseal | Conopressin G | Conus ebraeus | Mollusc | ATJ04127.1 |
Neuro-hypophyseal | Conopressin G | Conus ermineus | Mollusc | AXL95508.1 |
Neuro-hypophyseal | Conopressin G | Conus geographus | Mollusc | P05486 |
Neuro-hypophyseal | Conopressin G | Conus gloriamus | Mollusc | 28531118 |
Neuro-hypophyseal | Conopressin G | Conus imperialis | Mollusc | 7940591 |
Neuro-hypophyseal | Conopressin G | Conus lividus | Mollusc | ATJ04129.1 |
Neuro-hypophyseal | Conopressin G | Conus monile | Mollusc | QDE14046.1 |
Neuro-hypophyseal | Conopressin G | Conus praecellens | Mollusc | ATF27585.1 |
Neuro-hypophyseal | Conopressin S | Conus striatus | Mollusc | P05487 |
Neuro-hypophyseal | Conopressin T | Conus tulipa | Mollusc | P0DL76 |
Neuro-hypophyseal | Conopressin Tx | Conus textile | Mollusc | P86255.1 |
Neuro-hypophyseal | Conopressin Tx1 | Conus textile | Mollusc | P02716 |
Neuro-hypophyseal | Conopressin Tx2 | Conus ermineus | Mollusc | A0A346CJ19 |
Neuro-hypophyseal | Conopressin Tx2 | Conus lenavati | Mollusc | A0A0K8TTS0 |
Neuro-hypophyseal | Conopressin Tx2 | Conus lividus | Mollusc | A0A291NVW3 |
Neuro-hypophyseal | Conopressin Tx2 | Conus miles | Mollusc | A0A291NVU9 |
Neuro-hypophyseal | Conopressin Tx2 | Conus monile | Mollusc | A0A4Y5X186 |
Neuro-hypophyseal | Conopressin Tx2 | Conus textile | Mollusc | Unpublished |
Neuro-hypophyseal | Conopressin Tx2 | Conus tribblei | Mollusc | A0A0C9RYL1 |
Neuro-hypophyseal | Conopressin Vil | Conus villepinii | Mollusc | P85141 |
Prohormone-4 | PH4 | Conus andremenezi | Mollusc | 28922871 |
Prohormone-4 | PH4 | Conus praecellens | Mollusc | 28922871 |
Prohormone-4 | PH4-Gm1 | Conus gloriamus | Mollusc | 28531118 |
Prohormone-4 | PH4-Gm2 | Conus gloriamus | Mollusc | 28531118 |
Prohormone-4 | PH4-Vc1 | Conus victoriae | Mollusc | A0A0F7YYX3 |
Prohormone-4 | Prohormone-4 like | Octopus vulgaris | Mollusc | XP 029651323.1 |
Tachykinin | Eledoisin | Eledone cirrhosa | Mollusc | P62933 |
Tachykinin | Eledoisin | Eledone moschata | Mollusc | P62934 |
Tachykinin | Oct-TK-I | Octopus vulgaris | Mollusc | Q8I6S3 |
Tachykinin | Oct-TK-II | Octopus vulgaris | Mollusc | Q8I6S2 |
Tachykinin | PhM1 | Phoneutria nigriventer | Arachnid (spider) | 15573368 |
Tachykinin | Sialokinin I | Aedes aegypti | Insect | P42634 |
Tachykinin | Sialokinin II Tachykinin-like | Aedes aegypti | Insect | P42634 |
Tachykinin | peptide-I (PllTkP-I) Tachykinin-like | Polistes lanio | Insect | P85879 |
Tachykinin | peptide-II (PllTkP-II) | Polistes lanio | Insect | P85880 |
Tachykinin | Tachykinin-like peptide-IX (PnTkP-IX) | Phoneutria nigriventer | Arachnid (spider) | P86306 |
Tachykinin | Tachykinin-like peptide-VI (PnTkP-VI) | Phoneutria nigriventer | Arachnid (spider) | P86303 |
Tachykinin | Tachykinin-like peptide-X (PnTkP-X) | Phoneutria nigriventer | Arachnid (spider) | P86307 |
Tachykinin | Tachykinin-like peptide-XI (PnTkP-XI) | Phoneutria nigriventer | Arachnid (spider) | P86308 |
Tachykinin | Tachykinin-like peptide-XIII | Phoneutria nigriventer | Arachnid (spider) | P86310 |
CCAP, Crustacean cardioactive peptide;
FARP, FMRFamide related peptide family;
GLP-1, Glucagon-like peptide 1;
ITP/CHH, Ion transport peptide/crustacean hyperglycaemic hormone;
LMWP, low molecular weight protein;
CNP, C-type natriuretic peptide; Genbank accession number are underlined, in bold.
There exist several examples where venom neuropeptides have demonstrated their therapeutic potential. Exendin-4, a GLP-1 receptor agonist isolated from the venom of the Gila monster (Heloderma suspectum), was used to develop Exenatide as well as Lixisenatide for the treatment of type 2 diabetes mellitus [85, 108]; contulakin-G, a neurotensin homologue isolated from Conus geographus venom is under investigation for the treatment of acute and chronic pain [109]; natriuretic peptides found in snake venoms are used to understand human natriuretic peptide receptor signalling [110]; sarafotoxin, identified in the venom of the snake Atractaspis engaddensis, acts on endothelin receptors, has been used to understand endothelin receptor signalling and aided development of endothelin receptor antagonists for the treatment of cardiovascular disorders [111]; conopressin-T, a vasopressin-like peptide identified in the cone snail Conus tulipa venom, contributed towards the development of novel vasopressin receptor antagonists that are used for the treatment of hyponatremia [112].
Although venom neuropeptides have been utilised for their therapeutic potential, very little is known on the physiological role venom neuropeptides play in predation and defence. Venom natriuretic peptides and sarafotoxins likely contribute to prey capture by targeting the cardiovascular system and affecting vasodilation or vasoconstriction and heart contractility [110, 113, 114]. Cono-insulins reduce blood glucose levels in fish which results in sluggish behaviour facilitating capture [115]. Pain and inflammation are common responses to envenomation, often for defensive purposes [116] and for envenomation of mice by the wasp Polistes lanio lanio these effects were attributed to tachykinin-like peptides acting on the neurokinin-1 (NK1) receptor [117, 118]. Conorfamide-Sr2, an FMRF-amide related peptide isolated from worm-eating Conus spurius venom, was hypothesized to have a defensive function as it had mild paralytic effects in the limpet Patella opea [119]. In addition, based on the neuropeptide families they belong to, venom neuropeptides are implicated in various physiological processes including cardiovascular functions (natriuretic peptide [120], crustacean cardioactive peptide [121], RFamide [122], neurotensin [123]), metabolism (insulin [124], glucagon-like peptide-1 [GLP-1] [125], RFamide [122]), reproduction (oxytocin [16]), fluid homeostasis (natriuretic peptide [126], vasopressin [44], bradykinin [127]) and pain (tachykinin [128], bradykinin [25], enkephalin [129], RFamide [122]).
In addition to venom neuropeptides with high homology to the human neuropeptides, venoms also contain peptides with very little homology to neuropeptides that potently bind to neuropeptide receptors. Venom peptides are generally characterised by well-conserved disulfide bond frameworks with loops that are highly mutable, thereby providing an evolutionary easily amendable scaffold able to adapt to a wide range of targets [76, 130]. A good example of this is mambaquaretin-1 isolated from the green mamba (Dendroaspis angusticeps), which binds allosterically to the vasopressin V2R (GPCR) and protects against renal cyst development, making it an interesting therapeutic lead for the treatment of polycystic kidney disease [131]. This was unexpected, since Mambaquaretin-1 has a Kunitz-fold, which is a well-characterised scaffold with three disulfide bonds, two antiparallel beta strands and a short alpha helix [131, 132] that is commonly found in venoms and known to target ion channels and proteases [110, 131, 133, 134]. Other examples of venom peptides that have no homology to neuropeptides but target neuropeptide receptors include hypotensin-I isolated from the scorpion Tityus serrulatus and which is a B2 bradykinin receptor agonist [135]; d-ctenitoxin-Pn1a from the spider Phoneutria nigriventer that targets opioid receptors [136]; t-CnVA and conorphins from cone snail venom that target the somatostatin and opioid receptors, respectively [137, 138]; and Crotalphine isolated from the venom of the snake Crotalus durissus terrificus that targets the k-opioid receptor and causes analgesia in rats [139]. The overall chemical and functional diversity of venom toxins is what renders venoms such interesting sources for the discovery of novel drug leads, diagnostic probes and pharmacological tools, which could accelerate our understanding of neuropeptide signalling in humans, if explored properly.
The number of venom neuropeptides listed in Table 2 is likely to represent only a small fraction of the total number of neuropeptides recruited into animal venoms as a result of limited characterisation. The broad phylogenetic range of venomous animals and number of known venom compounds (~6,000) versus the number of known venom neuropeptides suggests there are many more venom neuropeptides to be discovered [76, 140]. One explanation for the low number of neuropeptides is that only a limited number of venoms have been characterised to date and there is a bias towards certain animal lineages at the expense of others [140]. For example, snakes and cone snails have been heavily studied in contrast to invertebrates such as centipedes, cephalopods (octopus, squid and cuttlefish) and cnidarians [140, 141]. In fact, it is hypothesised that less than 1% of the total number of venom proteins and peptides have been characterised [77].
Another reason for the low number of known neuropeptides in animal venoms may have to do with the methods employed to characterise them. The majority of neuropeptides listed in Table 2 were identified by transcriptomics. The transcriptome is the sum of all mRNA molecules in one cell or a population of cells [142]; it provides information on transcript expression level, transcriptome dynamics across different tissues or conditions, and is not dependent on an existing genomic sequence. Transcriptomics, often combined with proteomics, is the most common venom characterisation method and allows a non-biased and non-targeted approach to characterise venom glands [140, 143–145]. However, it has also revealed high intraspecific variation due to diet, geographical location, age, and gender which necessitates care when interpreting results [146–148]. The correct and efficient use of bioinformatics is essential to be able to process and integrate the large amount of data generated in a transcriptomic study [149]. Annotation of transcriptome sequences relies on sequence comparison to known, annotated proteins and peptides in databases such as UniProt and the National Center for Biotechnology Information (NCBI) database [150]. The short length of neuropeptides and high sequence diversity of neuropeptide precursors makes them difficult to identify using sequence homology methods such as the NCBI Basic Local Alignment Search Tool (BLAST) [61, 151]. Consequently, it is likely that a large number of neuropeptide homologues in venoms have not been detected in ‘omics’ data. Therefore, it seems reasonable to expect identification of a higher number of neuropeptides in animal venoms using a targeted approach. This seems to have been the case in cone snails where neuropeptide-specific search in the venom gland transcriptome of Conus victoriae led to the identification of five different neuropeptides [152], in contrast to the two neuropeptides previously identified in C. victoriae [153].
6. Neuropeptide identification
Venom and neuropeptide research employ comparable strategies and technologies to identify peptides and face similar challenges including low peptide concentrations, PTMs, variable size, high degree of structural diversity and a large number of isoforms [60, 62]. A combined approach of mass spectrometry, sequencing technologies (i.e. transcriptomics) and bioinformatics (termed ‘Integrated Venomics’) has been very successful for both venom characterisation [77, 102, 140, 145] and neuropeptide identification [29, 59, 154]. Mass spectrometry is very sensitive, fast, allows de novo sequencing and enables identification of PTMs, although more material is required compared to transcriptomics [60, 62]. For animals with no or only a partial reference genome, transcriptomics in particular has greatly accelerated characterisation of animal venoms and identification of neuropeptides [140, 155]. Advances in sequencing technology and mass spectrometry combined with in silico prediction and bioinformatic tools has facilitated research in both areas [59, 60, 150, 156].
PTMs include the precursor protein cleavage sites that produce the mature peptides as well as residue modifications and can only be partially predicted from the nucleotide sequence [151]. Although advancements in mass spectrometry have increased selectivity and sensitivity, PTM determination of low abundance peptides remains challenging and requires sample preparation and separation methods such as liquid chromatography or capillary electrophoresis to maximise sensitivity [59, 62]. This is particularly relevant for venom characterisation of animals that produce very small amounts of venom. D-amino acids, a PTM identified in spider, mollusc and mammalian venom peptides, as well as mollusc neuroexcitatory peptides and crustacean neurohormones, are notoriously difficult to detect due to a lack of a sequence change or mass defect [157]. New mass spectrometry methods have been developed that measure the distinct molecular fragmentation patterns among peptide diastereomers with tandem mass spectrometry (MS/MS) [59].
Computational methods are necessary to filter, process, store and integrate the multifaceted information generated in mass spectrometry and sequencing studies. In addition, bioinformatic tools have been developed to facilitate neuropeptide and venom peptide identification including prohormone prediction tools (NeuroPID [158]), precursor protein cleavage site prediction tools (NeuroPred [159, 160], ProP [161], SignalP [162]), and peptide databases (neuropeptide database NeuroPep [2] and venom peptide databases [163–166]). The advancement and development of novel bioinformatic tools is critical to meet the computational demands of high-throughput mass spectrometry and sequencing technology which produce ever larger and more complex datasets [60].
Identification of a peptide, be that a neuropeptide or venom peptide, using mass spectrometry or polynucleotide sequencing technology does not provide information on the peptide target. After being identified with an ‘omics’ approach, peptides are typically synthesised and their activity characterised. Fortunately, synthesis of peptides (under 50 residues) is relatively straightforward using solid-phase peptide synthesis and the use of selective amino acid protecting groups allows directed disulfide-bond formation, which is important for characterising disulfide-rich peptides displaying potentially several disulfide bond isomers [167, 168]. In addition, recombinant expression, native chemical ligation, semisynthetic methods, and ligase/enzymatic ligations enable synthesis of longer and more complex peptides [100, 169, 170]. Subsequent testing on high-throughput assays such as fluorescent plate readers which measure Ca2+, Na+, K+ signalling (such as Fluorescence Imaging Plate Reader, FLIPR), electrophysiology, or single cell assays enables assessing of activity at various receptors [171, 172]. However, in vitro characterization of venom peptides provides limited insight into their function, and often unexpected effects are observed once administered in vivo [173].
7. Summary and future perspectives
Neuropeptide signalling systems are ubiquitous throughout the animal kingdom and regulate many fundamental physiological processes. They typically contain multiple receptor subtypes with complex signalling cascades that remain poorly understood due to a lack of receptor subtype-selective ligands. Because of their high level of conservation, endogenous neuropeptides, and in particular venom neuropeptides, represent a source for novel neuropeptide receptor ligands with varying pharmacological properties. Known venom neuropeptides are likely to be the tip of the iceberg and technological advances in mass spectrometry and sequencing technology combined with the development of novel bioinformatics tools promise to facilitate the identification of venom neuropeptides and characterisation of neuropeptide signalling systems. However, many challenges remain including a limited venom species diversity and identification of PTMs. Nevertheless, neuropeptides recruited into animal venoms offer a viable source for novel pharmacological tools and therapeutic leads to study the role of neuropeptides in health and disease.
Acknowledgements
M.M. was supported by the European Research Council under the European Union’s Horizon 2020 research and innovation program (714366) and by the Australian Research Council (DE150100784, DP190101667).
List of abbreviations
- ACTH
Adrenocorticotropic hormone
- BLAST
Basic Local Alignment Search Tool
- CGRP
Calcitonin/calcitonin gene-related peptide
- CNS
Central nervous system
- CRH
Corticotropin-releasing hormone
- ER
Endoplasmic reticulum
- FLIPR
Fluorescence Imaging Plate Reader
- GLP-1
Glucagon-like peptide-1
- GnRH
Gonadotropin-releasing hormone
- GPCR
G protein-coupled receptors
- MCH
Melanin-concentrating hormone
- MS/MS
Tandem mass spectrometry
- MSH
Melanocyte-stimulating hormone
- NCBI
National Center for Biotechnology Information
- NPY
Neuropeptide Y
- OTR
Oxytocin receptor
- PACAP
Pituitary adenylate cyclase-activating peptide
- PNS
Peripheral nervous system
- POMC
Proopiomelanocortin
- PTM
Post-translational modifications
- TRH
Thyrotropin-releasing hormone
Footnotes
Conflict of interest statement
The authors declare there is no conflict of interest.
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