Studies of natural product repositioning in FAB-Lab.
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More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\n\n
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\r\n\tThe sunflower genus (Helianthus spp.), from the Asteraceae-Compositae family, contains nearly 70 species and originates from North America. It is an annual plant with a large circular head (10-30 cm in diameter) which contains many individual flowers, broad leaves, and a stem of 1 to 5 m high. It has been cultivated since 3000 BC. The seeds are eaten dried, roasted, or ground in nut butter, and are contained in birdseed mixes. Sunflower oil meal is used as animal feed. The oil itself is also used in soaps and paints in industry. Sunflower is the 4th most important oil seed crop in the world. The yellow oil contained in the seeds is considered as equal to olive oil with respect to nutritional value. Yield decrease in sunflower is based on biotic and abiotic stress factors. Breeding of new cultivars resistant to stress factors is a priority of both conventional and modern (biotechnological) breeding methods. Moreover, new cultivars with high oil, protein, and erucic acid contents are the other targets of breeding studies. In this book, readers can find the information about sunflower cultivation, harvesting, breeding, pests, and disease control.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,hash:"a4f19fc9cf658efff21a819a4c84756e",bookSignature:"Prof. Mustafa Yildiz",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/9691.jpg",keywords:"Sunflower, Cultivation, Fertilization, Rotation, Harvesting, Storage, Grading, Pest and disease management, Breeding methods, Hybrids, Erucic acid content, Protein content",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 9th 2019",dateEndSecondStepPublish:"February 17th 2020",dateEndThirdStepPublish:"April 17th 2020",dateEndFourthStepPublish:"July 6th 2020",dateEndFifthStepPublish:"September 4th 2020",remainingDaysToSecondStep:"a year",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"141637",title:"Prof.",name:"Mustafa",middleName:null,surname:"Yildiz",slug:"mustafa-yildiz",fullName:"Mustafa Yildiz",profilePictureURL:"https://mts.intechopen.com/storage/users/141637/images/system/141637.jpg",biography:"Mustafa Yildiz received his PhD in 2000 from Ankara University, Turkey. He is currently working as a Professor at Faculty of Agriculture, Department of Field Crops at the same university. Prof. Yildiz’s research area includes: plant tissue culture, plant biotechnology, molecular markers, Agrobacterium tumefaciens-mediated gene transfer, plant stress physiology, plant immune system, plant defense mechanism, and plant breeding. Mustafa Yildiz has authored over 170 scientific publications, two books, and 7 book chapters. He was awarded with the 1st place in the \\'International Sunflower Project Market” by the \\'International Sunflower Association” for his project titled \\'A New Environmental Friendly Production Method in Sunflower for High Seed and Crude Oil Yields”. Prof. Yildiz has also carried out many other research projects. Prof. Yildiz currently carries out a research project aiming to improve salt-tolerant bread wheat cultivars.",institutionString:"Ankara University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"7",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Ankara University",institutionURL:null,country:{name:"Turkey"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"5",title:"Agricultural and Biological Sciences",slug:"agricultural-and-biological-sciences"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"304289",firstName:"Rebekah",lastName:"Pribetic",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/304289/images/13255_n.png",email:"rebekah@intechopen.com",biography:null}},relatedBooks:[{type:"book",id:"6219",title:"Potato",subtitle:"From Incas to All Over the 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"878",title:"Phytochemicals",subtitle:"A Global Perspective of Their Role in Nutrition and Health",isOpenForSubmission:!1,hash:"ec77671f63975ef2d16192897deb6835",slug:"phytochemicals-a-global-perspective-of-their-role-in-nutrition-and-health",bookSignature:"Venketeshwer Rao",coverURL:"https://cdn.intechopen.com/books/images_new/878.jpg",editedByType:"Edited by",editors:[{id:"82663",title:"Dr.",name:"Venketeshwer",surname:"Rao",slug:"venketeshwer-rao",fullName:"Venketeshwer Rao"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"72957",title:"Drug Repurposing in Dermatology: Molecular Biology and Omics Approach",doi:"10.5772/intechopen.93344",slug:"drug-repurposing-in-dermatology-molecular-biology-and-omics-approach",body:'\nIn the early years of this century, it was expected that revolutionary development in industry and technology will allow an unprecedented opportunities for drug discovery and development; however, the disappointing rate of drug approval in the last 20 years shed the light on the urgent need to reassess the efficiency of current strategies of drug discovery.
\nDespite the large amount of investment that has been put in drug development, several drug candidates fail to pass due to pharmacokinetic issues or severe side effects that mainly are not demonstrated until clinical phases, which lead to extreme economic loss to pharmaceutical companies that might spend more than billion dollars in the process.
\nThese facts were not overlooked by pharmaceutical industries or academia; so, they started to apply a new strategy that embraces new application of approved drugs rather than starting from scratch, which is known as drug repositioning. While the term was first coined in 2004, the approach has already led to the discovery of several therapeutic agents in the last century; however, serendipity, trials, and errors were the main players in most of these cases.
\nThis means that harnessing our highly advanced tools of molecular biology and computational techniques would guarantee the rediscovery of new indications for already approved drugs, which will not only increase our arsenal of therapeutic agents but also will drastically decrease the time and costs of the whole process.
\nMoreover, this approach could help for finding therapeutic solutions for orphan diseases or clinical conditions that affects low number of population which are usually neglected by pharmaceutical corps as in the case of dermatologic therapeutics due to the low prevalence of many dermatoses and the inappropriate estimation of the burden of psychological and physical impact of skin disorders on the quality of life.
\nIndeed, the field of dermatology covers wide range of disorders, but this means that drug repurposing strategy may be uniquely successful, hence the broad variety of pathophysiological process affecting the skin. In that aspect, the liver research laboratory (FAB-Lab, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt) has utilized several approaches for not only optimization and enhancing the therapeutic effect of commonly available natural products but also recognizing novel application for them so that one therapeutic agent could be used for treatment of several or complex conditions (Table 1). In this chapter, we will review different strategies for drug repositioning and their application in dermatological and cosmeceutical field.
\nNo. | \nStudies for discovery of new indications for natural products | \nRef | \n|
Compounds | \nIndication | \n||
1. | \nCompounds from frankincense | \nAnti-herpes | \n[1] | \n
2. | \nFrankincense oil | \nImmunomodulatory activity | \n[2] | \n
3. | \nMyrrh standardized extract | \nSchistosomicidal | \n[3] | \n
4. | \nFree-B-ring flavonoids | \nColon cancer | \n[4] | \n
5. | \nAnti-neoplaston A-10 | \nImmune-modulatory in breast cancer patients | \n[5] | \n
6. | \nRicinine alkaloids analogs | \nOral squamous cell carcinoma | \n[6] | \n
7. | \nStemmadenine alkaloid derivative | \nAntiproliferative activity against different cancers | \n[7] | \n
8. | \nCurcumin | \nIron accumulation in liver | \n[8] | \n
9. | \nCucurbitacin B | \nChemo-sensitization of cisplatin-resistant ovarian cancer | \n[9] | \n
10. | \nBi-aryl methyl eugenol analogs | \nBreast cancer invasion inhibitors | \n[10] | \n
Studies for discovery of new target for natural products | \n|||
\n | Compounds/extract | \nTargets | \n` | \n
1. | \nFlavonoids containing an alpha-keto group | \nTyrosinase inhibitors | \n[11] | \n
2. | \nCycloartane glycoside | \nLactate dehydrogenase inhibitor | \n[12] | \n
3. | \nBetulinic acid analogs | \nTopoisomerase inhibitors | \n[13] | \n
4. | \nGingerol derivatives | \nLTA4H inhibitory activity | \n[14] | \n
5. | \nCurcumin derivative | \nAlpha-amylase inhibitory | \n[15] | \n
6. | \nGlycyrrhizin derivative | \nAcetylcholinesterase inhibitory activity | \n[16] | \n
Studies of natural product repositioning in FAB-Lab.
Drug repositioning is achieved by understanding of molecular mechanisms of drug action and by identification of the interacting proteins of the drug. In many cases, molecular mechanism of drug action is poorly understood or completely unknown. The drug action can be observed by identification of drug targets and their specific interactions, drug-induced change in expression of a specific gene and the associated pathways, and change in disease phenotypes.
\nCurrent approaches for drug repositioning come from the so-called “drug action spectrum” concept as shown in Figure 1, which is based on three paradigms, namely, target-centric, drug-centric, and disease-centric repositioning. The first and second modules are closely related and usually applied interchangeably; the target-centric module focuses on finding new indication for the already established target; for example, the discovery of the role of androgenic receptor in hair loss allowed the repurposing of finasteride for treatment of androgenic alopecia.
\nThe concept of drug action spectrum in drug repositioning is based on three paradigms, namely, drug-centric, target-centric, and disease-centric repositioning. In the first and second approaches, computational approaches are used extensively to identify novel targets for compounds that were used for different applications. Omics, data mining, and meta-analysis of clinical trials could also be used to analyze the relationship between diseases and novel molecular targets that was previously investigated in different diseases.
Drug-centric module aims in finding a new target for therapeutic agent, experimental or abandoned drugs; for example, the notorious thalidomide, which was firstly indicated for treatment of nausea and caused the phocomelia crisis, has been repurposed for treatment of myeloma and several dermatological conditions related to immune diseases.
\nThese types of repositioning use computational ligand- and structure-based techniques [12, 13], chemical proteomics [16, 17], and off-target screening to identify potential therapeutic applications; so, we will explain the theory behind its approach and its application in drug repositioning.
\nIn the third module, the repurposing depends on the similarity of pathophysiological nature of diseases; for example, different types of cancers or different autoimmune diseases which allow the expansion of drug to a closely related indication so that extensive analysis of the associated molecular targets may not be required. Nevertheless, this type of repositioning strategy is the most observed type in drug repurposing field; it is worthy to note that retrospective analysis of several repurposing cases could be explained exclusively by drug-target interaction [18].
\nThe main tools used for applying disease-centric repositioning are gene or protein expression profiling [14, 15], phenotypic screening [11], clinical observations [19], side effect analysis [20], and data mining and neural networks [21, 22]. In the following section, we will shed the light on the application of these tools in drug repositioning, especially in dermatology.
\nLigand-based approaches are usually employed when no structural information about the target under investigation is available. They are not only used for virtual screening but also for lead optimization [17]. The key concept in ligand-based approaches is to determine common structural features or descriptors that could be found in compounds with the same pharmacological activity; therefore, pharmacophoric function groups which are necessary to maintain the activity could be elucidated (Figure 2) [19].
\nLigand-based approaches depend on the elucidation of structural features that could be found in set of active drugs (fingerprint) so that compounds possessing the same pharmacophores could be identified.
In structure-based approach, the 3D structure of biological target is used to recognize how an active compound bind to its active site; hence, molecular docking could be used for identifying other drugs that can bind to the active site in similar fashion [20]. It is worthy to note that such approach could be used also for identifying the ability of drugs to bind to diverse types of targets, which is known as target fishing or inverse docking; this could be achieved by docking drug of interest against database of targets of clinical significance (Figure 3) [21].
\nStructure-based virtual screening employ two main approaches: (i) molecular docking where databases of thousands of compounds could be docked to the active site of target of interest to identify the top ranked compounds and (ii) inverse docking, as the name suggests, where compound of interest is docked against a panel of different targets to identify new potential targets.
Indeed, drug repositioning cases derived from this approach are still limited, but it has been extensively used to give insights on the mode of action of natural products and the rationale behind their use in traditional medicine. For example, ricinoleic acid (1), acteoside (2), amentoflavone (3), quercetin-3-O-rutinoside (4), and hinokiflavone (5) were expected to be prostaglandin D2 synthase inhibitors by inverse docking, which could explain their use in herbal preparation for hair loss treatment [22]; another study revealed that the anti-inflammatory effect of Bryophyllum pinnatum is due to the ability of quercetin 3-O-α-L-arabinopyranosyl-(1 → 2)-O-α-L-rhamnopyranoside (6) to inhibit PDE4B, a prominent target in the pathogenesis of psoriatic arthritis, and atopic dermatitis [23, 24]; also, the antiaging effect of allicin was linked to its ability to act as leukocyte elastase inhibitor [25].
\nBagherzadeh et al. applied pharmacophore and structure-based virtual screening to identify tyrosinase inhibitor from zinc database; among them, five compounds showed the potential to be used as potent inhibitor according to molecular dynamic simulation [26]. Interestingly, Choi et al. used structure-based virtual screening for repurposing thiopurine drugs such as mercaptopurine (7) as tyrosinase inhibitors for treatment of hyperpigmentation [27]. The chemical structure of compounds (1–7) is shown in Figure 4.
\nChemical structure of ricinoleic acid (1), acteoside (2), amentoflavone (3), quercetin-3-O-rutinoside (4), hinokiflavone (5), quercetin 3-O-α-L-arabinopyranosyl-(1 → 2)-O-α-L-rhamnopyranoside (6), and mercaptopurine (7).
The ability of most of drugs to induce side effects is originated from their binding with other targets that might share certain homology with the original targets, so it could be quite handful to use this drugs in treatment of diseases where these targets are dysregulated.
\nSpironolactone (8) is an antagonist to aldosterone; so, it is used for treatment of hypertension due to its diuretic effect; however, its steroidal nature allows it to act as a competitive antagonist at androgenic receptor; so, it was suggested to be used in treatment of androgenic alopecia; however, its effects on hair growth patterns in males might be not clinically preferable. On the other hand, it proved to be significantly effective in treatment of polycystic ovary syndrome and hirsutism in females, due to its ability to inhibit hair regrowth in androgen-dependent regions of the body, which was proven by several clinical trials.
\nAnother intriguing example for off-targets drug repositioning is doxepin (9) which is a tricyclic antidepressant; it prevents reuptake of serotonin and norepinephrine, leading to an increase in the synaptic concentrations of those neurotransmitters. Nevertheless, there are several off-target effects that are associated with the use of this class of drugs, which are mainly mediated by muscarinic and histamine receptors. This could be explained by its high affinity to H1 receptor which is much higher than hydroxyzine by 56 times and diphenhydramine 800 times; such observation opened the gate to the FDA approval for treatment of dermatological conditions such as pruritus, psychodermatosis, and chronic urticaria as topical and systemic agents.
\nOff-target effects are also influenced by the route of administration; sodium valproate (10), an anti-epileptic drug, inhibits the cellular sodium influx by blocking voltage-dependent sodium channels and induces chloride influx by gamma hydroxyl butyric acid (GABA)-mimetic effect. It also reduces the release of GABA, thereby attenuating neuronal excitation induced by glutamate receptors. It was reported by several clinical trials that oral administration of valproate could induce hair loss in dose-dependent manner by decreasing biotinidase activity leading to alopecia induced by biotin deficiency.
\nHowever, sodium valproate topical treatment induced hair growth in male C3H mice model, which could be explained by its ability to inhibit glycogen synthase kinase 3β and activation of Wnt/β-catenin pathway, which in turn, is associated with hair regeneration and anagen induction. This result was supported by randomized interventional study, where 7.2% spray of sodium valproate applied twice daily on scalp up to 24 weeks showed the efficacy of valproate spray on androgenic alopecia.
\nDapsone(11), which is known to be one of the few agents used to fight leprosy, was developed as an antistreptococcal agent by targeting dihydropteroate synthetase in bacteria; it was only matter of time until its anti-inflammatory effect was noticed due to its effect on numerous neutrophil-mediated and autoimmune processes; so, it is now used for recurring neutrophilic dermatosis, cicatricial pemphigoid, linear IgA dermatosis, IgA pemphigus, erythema elevatum diutinum, acropustulosis infantilis, and prurigo pigmentosa [28].
\nFinally, thalidomide (12) is a distinguishable case in drug repositioning; it was used for treatment of morning sickness in pregnant women after its withdrawal due its teratogenic effect; such side effect was studied thoroughly and explained by the ability of the drug to inhibit vascular endothelial growth factor (VEGF) which has a significant role in angiogenesis and embryo development; so, this drug was repositioned for treatment of multiple myeloma; also, it was found that thalidomide is a strong inhibitor for tumor necrosis factor alpha (TNF-α) and was approved by FDA for management of erythema nodosum leprosum [29, 30]. The chemical structure of compounds (8–13) is presented in Figure 5.
\nChemical structure of spironolactone (8), doxepin (9), sodium valproate (10), dapsone (11), and thalidomide (12).
In this approach, data analysis based on omics is used to identify new function instead of finding new targets for certain chemical entity; hence, it might be the most challenging approach as it depends on the advances of molecular biology tools which can reveal the role of already known target in completely different diseases.
\nFinasteride (13) is a drug that was developed for treatment of benign prostatic hyperplasia, by acting as 5α-reductase enzyme inhibitor; this enzyme was found later to be contributing in the development of androgenic alopecia; hence, finasteride at low doses was repositioned to treatment of baldness in men.
\nAnother example is the repositioning of eflornithine (14), which was used for treatment of African trypanosomiasis by inhibiting ornithine decarboxylase; several years later, the homolog enzyme in humans was found to be responsible for hair growth and eflornithine was suggested as potential treatment of hirsutism in woman due to its ability to reduce hair growth. This observation was supported by several clinical trials and is currently marketed as topical preparation.
\nZileuton (15) is a 5-lipoxygenase inhibitor which is used for treatment of asthma, by blocking the biosynthesis of leukotriene B4, which contributes significantly in tissue inflammation in acne; so, several studies on the experimental and clinical levels have been performed to understand its mode of action, as well as safety of this compound in the management of acne vulgaris. Zileuton demonstrated a significant efficiency in patients with moderate acne, whereas a decrease in inflammatory lesions was noticed in comparison to the placebo group. Also, the tolerability and safety of zileuton were satisfactory in all conducted clinical studies [31]. The chemical structure of compounds (13–15) is shown in Figure 6.
\nChemical structure of finasteride (13), eflornithine (14), and zileuton (15).
In disease-centered paradigm, the observation and analysis of data from phenotypic assays, clinical trials, and literature could be an important resource for drug repositioning, as previously mentioned, this type of repositioning is oriented toward the clinical outcomes rather than the exact molecular mechanism behind the drug switch; from other angle, the researcher aims to find certain fingerprint on the genetic or proteomic level to support the repositioning hypothesis; for example, the transcriptomic analysis of different types of autoimmune diseases could reveal similar pattern of gene expression, which means that the same drug could be used for different types of immunity-related condition.
\nQu et al. applied integrative clinical transcriptomic analyses for finding new drugs for treatment of psoriasis. First, gene expression analysis of samples collected from psoriasis patient and normal volunteers were used to identify molecular targets associated with the disease, and then, connectivity map analysis revealed potential drugs for the identified targets, which were resveratrol (16), tiabendazole (17), monobenzone (18), parthenolide (18), doxycycline (19), and methotrexate (20) [32].
\nAlso, Patrick et al. gathered drug-related information from more than 20 million articles using machine learning based on word embedding to build a model that highlights drug-disease relationship in order to repurpose drugs for treatment of immune-mediated dermatological conditions, where prednisone (21), triamcinolone (22), budesonide (23), hydroxychloroquine (24), and leflunomide (25) were among the top five predicted drugs for treatment of psoriasis [33]. The chemical structure of compounds (15–25) is demonstrated in Figure 7.
\nChemical structure of resveratrol (16), tiabendazole (17), monobenzone (18), parthenolide (18), doxycycline (19), methotrexate (20) prednisone (21), triamcinolone (22), budesonide (23), hydroxychloroquine (24), and leflunomide (25).
Bimatoprost (26), a prostaglandin analog, was used for treatment of glaucoma patient, but several clinical observations reported the occurrence of eyelash hypertrichosis; so, it was used for induction of eyelash regrowth in alopecia areata and for cosmeceutical purposes [34, 35].
\nPhenytoin (27) is one of the first discovered antiepileptic drugs; after its introduction to the market, gingival hyperplasia was reported as a side effect for the treatment, which triggered dermatologist to evaluate its ability to heal wounds; so, phenytoin has been evaluated by several clinical studies, where it proved to be useful in treatment of wounds in topical and oral forms; however, the exact mechanism of action is still ambiguous [36].
\nBevacizumab, a monoclonal antibody that is used for treatment of several types of cancer, was observed to achieve complete remission of psoriasis in metastatic colon cancer without any other treatment for psoriasis [37]; a case which was reported again in another study that described the same effect in metastatic renal cell cancer, psoriasis, and psoriatic arthritis patient, which means the bevacizumab could be repurposed for treatment of these dermatoses; also, it sheds the light on the importance of (VEGF) as a target for treatment of inflammatory skin conditions [38].
\nThe Janus kinase (JAK) inhibitor, tofacitinib (28), was developed originally for management of rheumatoid arthritis, ulcerative colitis and other autoimmune diseases, but it was repurposed for psoriasis and atopic dermatitis since JAK was found to be contributing in the pathogenesis of these diseases, and currently, several clinical trials were performed to assess its clinical significance and concluded that response rates in tofacitinib-treated group were significantly higher compared to that in placebo [39, 40, 41].
\nMetformin (29), a type-2 diabetes medication, reduces insulin resistance; however, its mechanism is not completely understood; so, it was suggested as a treatment of several dermatological conditions associated with insulin resistance such as acanthosis nigricans and acne; this was supported by several clinical trials where the patients showed complete resolution. It also was employed in treatment of hyperpigmentation due to its inhibitory effect on tyrosinases, the key enzymes in melanin biosynthesis. The anti-melanogenic effect of metformin was demonstrated experimentally on human skin biopsies and reconstituted human epidermis; also, clinical trials showed that metformin efficacy is comparable to TCC in treating melasma [42, 43, 44].
\nFinally, minoxidil (30), which is a well-known case in drug repositioning, was initially used for treatment of hypertension since its strong vasodilator effect but during clinical trials, hair regrowth was noticed in patients with androgenic alopecia such effect is contributed by stimulating the vascular bed nearby the hair follicles which lead to better environment for hair growth. It was suggested that the ability of minoxidil to activate cytoprotective prostaglandin synthase-1 and stimulate adipose-derived stem cells (ASCs) [45, 46].
\nNiclosamide (NCL) (31) is an anti-helminthic drug that has been utilized for long time with considerable safety profile; several studies reported its anti-inflammatory and anticancer activities, highlighting the potential of repurposing for different indications; Thatikonda et al. used imiquimod (IMQ)-induced BALB/c mouse model to evaluate the efficacy of NCL for treatment of psoriasis, where it alleviated epidermal hyperplasia and inflammation induced by IMQ via downregulating p65, STAT3, NFATc-1, and NF-κB transcription factors along with Ki-67, ICAM-1, and Akt protein expression [47].
\nHall et al. used zebrafish neutrophil migration assay, for evaluation of the suppressive effect of 1280 approved drugs on recruitment of neutrophils; where drugs showing prominent anti-inflammatory activity were further tested in atopic dermatitis animal model, among them 11 drugs which was not reported previously as anti-inflammatory agent [48].
\nChang et al. used in vivo model of chemically induced murine skin tumorigenesis to confirm the hypothesis of repositioning of beta blocker for treatment of skin cancer, since several studies showed that stress-related catecholamine hormone expression can affect tumor progression [49].
\nCarvedilol (32), when administrated orally and topically, prevented DMBA-induced epidermal hyperplasia, suggesting that it may serve as a new agent for protecting against skin cancer [50], which was supported by another study that demonstrated the preventive effect of carvedilol applied topically after UV exposure; so, it can be repositioned as prophylactic agent against skin inflammation and cancer [51].
\nCannabidiol (CBD) (33) is a nonpsychoactive phytocannabinoid found in Cannabis sativa. It is approved recently for the treatment of seizures associated with two uncommon and serious forms of epilepsy, Dravet syndrome, and Lennox-Gastaut syndrome. Oláh et al. reported that CBD-treated human sebocytes and human skin organ in vitro showed strong antiproliferative, lipostatic, and anti-inflammatory effects mediated by a plethora of receptors, ion channels, and other components of the endocannabinoid system [52]. These findings were confirmed later by clinical trial showing that CBD administrated as an ointment is an effective and noninvasive option for enhancing the quality of life in patients with some skin disorders, especially those with inflammatory background [53]. The chemical structure of compounds (26–33) is depicted in Figure 8.
\nChemical structure of bimatoprost (26), phenytoin (27), tofacitinib (28), metformin (29), minoxidil (30), niclosamide (31), carvedilol (32), and cannabidiol (CBD) (33).
Drug repositioning is an important strategy to maximize the benefits from already approved drugs; it will not only contribute to reduction of time and cost for drug discovery but also could help to develop new therapeutics for orphan and ignored diseases. While historic cases of drug repositioning were inspired by serendipity and observations, more systematic approaches became well established by time. In silico and data mining tools could help to analyze the large amount of data available from omics, phenotypic assay, and clinical investigations by revealing novel relationship between drugs, targets, and different pathways of diseases as described in this chapter; the integration of different tools of drug repurposing will allow the identification of safe and effective therapeutics for treatment of dermatological condition and enhance the quality of life of patients.
\nThe authors declare no conflict of interest.
In the early years of this century, it was expected that revolutionary development in industry and technology will allow an unprecedented opportunities for drug discovery and development; however, the disappointing rate of drug approval in the last 20 years shed the light on the urgent need to reassess the efficiency of current strategies of drug discovery.
\nDespite the large amount of investment that has been put in drug development, several drug candidates fail to pass due to pharmacokinetic issues or severe side effects that mainly are not demonstrated until clinical phases, which lead to extreme economic loss to pharmaceutical companies that might spend more than billion dollars in the process.
\nThese facts were not overlooked by pharmaceutical industries or academia; so, they started to apply a new strategy that embraces new application of approved drugs rather than starting from scratch, which is known as drug repositioning. While the term was first coined in 2004, the approach has already led to the discovery of several therapeutic agents in the last century; however, serendipity, trials, and errors were the main players in most of these cases.
\nThis means that harnessing our highly advanced tools of molecular biology and computational techniques would guarantee the rediscovery of new indications for already approved drugs, which will not only increase our arsenal of therapeutic agents but also will drastically decrease the time and costs of the whole process.
\nMoreover, this approach could help for finding therapeutic solutions for orphan diseases or clinical conditions that affects low number of population which are usually neglected by pharmaceutical corps as in the case of dermatologic therapeutics due to the low prevalence of many dermatoses and the inappropriate estimation of the burden of psychological and physical impact of skin disorders on the quality of life.
\nIndeed, the field of dermatology covers wide range of disorders, but this means that drug repurposing strategy may be uniquely successful, hence the broad variety of pathophysiological process affecting the skin. In that aspect, the liver research laboratory (FAB-Lab, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt) has utilized several approaches for not only optimization and enhancing the therapeutic effect of commonly available natural products but also recognizing novel application for them so that one therapeutic agent could be used for treatment of several or complex conditions (Table 1). In this chapter, we will review different strategies for drug repositioning and their application in dermatological and cosmeceutical field.
\nNo. | \nStudies for discovery of new indications for natural products | \nRef | \n|
Compounds | \nIndication | \n||
1. | \nCompounds from frankincense | \nAnti-herpes | \n[1] | \n
2. | \nFrankincense oil | \nImmunomodulatory activity | \n[2] | \n
3. | \nMyrrh standardized extract | \nSchistosomicidal | \n[3] | \n
4. | \nFree-B-ring flavonoids | \nColon cancer | \n[4] | \n
5. | \nAnti-neoplaston A-10 | \nImmune-modulatory in breast cancer patients | \n[5] | \n
6. | \nRicinine alkaloids analogs | \nOral squamous cell carcinoma | \n[6] | \n
7. | \nStemmadenine alkaloid derivative | \nAntiproliferative activity against different cancers | \n[7] | \n
8. | \nCurcumin | \nIron accumulation in liver | \n[8] | \n
9. | \nCucurbitacin B | \nChemo-sensitization of cisplatin-resistant ovarian cancer | \n[9] | \n
10. | \nBi-aryl methyl eugenol analogs | \nBreast cancer invasion inhibitors | \n[10] | \n
Studies for discovery of new target for natural products | \n|||
\n | Compounds/extract | \nTargets | \n` | \n
1. | \nFlavonoids containing an alpha-keto group | \nTyrosinase inhibitors | \n[11] | \n
2. | \nCycloartane glycoside | \nLactate dehydrogenase inhibitor | \n[12] | \n
3. | \nBetulinic acid analogs | \nTopoisomerase inhibitors | \n[13] | \n
4. | \nGingerol derivatives | \nLTA4H inhibitory activity | \n[14] | \n
5. | \nCurcumin derivative | \nAlpha-amylase inhibitory | \n[15] | \n
6. | \nGlycyrrhizin derivative | \nAcetylcholinesterase inhibitory activity | \n[16] | \n
Studies of natural product repositioning in FAB-Lab.
Drug repositioning is achieved by understanding of molecular mechanisms of drug action and by identification of the interacting proteins of the drug. In many cases, molecular mechanism of drug action is poorly understood or completely unknown. The drug action can be observed by identification of drug targets and their specific interactions, drug-induced change in expression of a specific gene and the associated pathways, and change in disease phenotypes.
\nCurrent approaches for drug repositioning come from the so-called “drug action spectrum” concept as shown in Figure 1, which is based on three paradigms, namely, target-centric, drug-centric, and disease-centric repositioning. The first and second modules are closely related and usually applied interchangeably; the target-centric module focuses on finding new indication for the already established target; for example, the discovery of the role of androgenic receptor in hair loss allowed the repurposing of finasteride for treatment of androgenic alopecia.
\nThe concept of drug action spectrum in drug repositioning is based on three paradigms, namely, drug-centric, target-centric, and disease-centric repositioning. In the first and second approaches, computational approaches are used extensively to identify novel targets for compounds that were used for different applications. Omics, data mining, and meta-analysis of clinical trials could also be used to analyze the relationship between diseases and novel molecular targets that was previously investigated in different diseases.
Drug-centric module aims in finding a new target for therapeutic agent, experimental or abandoned drugs; for example, the notorious thalidomide, which was firstly indicated for treatment of nausea and caused the phocomelia crisis, has been repurposed for treatment of myeloma and several dermatological conditions related to immune diseases.
\nThese types of repositioning use computational ligand- and structure-based techniques [12, 13], chemical proteomics [16, 17], and off-target screening to identify potential therapeutic applications; so, we will explain the theory behind its approach and its application in drug repositioning.
\nIn the third module, the repurposing depends on the similarity of pathophysiological nature of diseases; for example, different types of cancers or different autoimmune diseases which allow the expansion of drug to a closely related indication so that extensive analysis of the associated molecular targets may not be required. Nevertheless, this type of repositioning strategy is the most observed type in drug repurposing field; it is worthy to note that retrospective analysis of several repurposing cases could be explained exclusively by drug-target interaction [18].
\nThe main tools used for applying disease-centric repositioning are gene or protein expression profiling [14, 15], phenotypic screening [11], clinical observations [19], side effect analysis [20], and data mining and neural networks [21, 22]. In the following section, we will shed the light on the application of these tools in drug repositioning, especially in dermatology.
\nLigand-based approaches are usually employed when no structural information about the target under investigation is available. They are not only used for virtual screening but also for lead optimization [17]. The key concept in ligand-based approaches is to determine common structural features or descriptors that could be found in compounds with the same pharmacological activity; therefore, pharmacophoric function groups which are necessary to maintain the activity could be elucidated (Figure 2) [19].
\nLigand-based approaches depend on the elucidation of structural features that could be found in set of active drugs (fingerprint) so that compounds possessing the same pharmacophores could be identified.
In structure-based approach, the 3D structure of biological target is used to recognize how an active compound bind to its active site; hence, molecular docking could be used for identifying other drugs that can bind to the active site in similar fashion [20]. It is worthy to note that such approach could be used also for identifying the ability of drugs to bind to diverse types of targets, which is known as target fishing or inverse docking; this could be achieved by docking drug of interest against database of targets of clinical significance (Figure 3) [21].
\nStructure-based virtual screening employ two main approaches: (i) molecular docking where databases of thousands of compounds could be docked to the active site of target of interest to identify the top ranked compounds and (ii) inverse docking, as the name suggests, where compound of interest is docked against a panel of different targets to identify new potential targets.
Indeed, drug repositioning cases derived from this approach are still limited, but it has been extensively used to give insights on the mode of action of natural products and the rationale behind their use in traditional medicine. For example, ricinoleic acid (1), acteoside (2), amentoflavone (3), quercetin-3-O-rutinoside (4), and hinokiflavone (5) were expected to be prostaglandin D2 synthase inhibitors by inverse docking, which could explain their use in herbal preparation for hair loss treatment [22]; another study revealed that the anti-inflammatory effect of Bryophyllum pinnatum is due to the ability of quercetin 3-O-α-L-arabinopyranosyl-(1 → 2)-O-α-L-rhamnopyranoside (6) to inhibit PDE4B, a prominent target in the pathogenesis of psoriatic arthritis, and atopic dermatitis [23, 24]; also, the antiaging effect of allicin was linked to its ability to act as leukocyte elastase inhibitor [25].
\nBagherzadeh et al. applied pharmacophore and structure-based virtual screening to identify tyrosinase inhibitor from zinc database; among them, five compounds showed the potential to be used as potent inhibitor according to molecular dynamic simulation [26]. Interestingly, Choi et al. used structure-based virtual screening for repurposing thiopurine drugs such as mercaptopurine (7) as tyrosinase inhibitors for treatment of hyperpigmentation [27]. The chemical structure of compounds (1–7) is shown in Figure 4.
\nChemical structure of ricinoleic acid (1), acteoside (2), amentoflavone (3), quercetin-3-O-rutinoside (4), hinokiflavone (5), quercetin 3-O-α-L-arabinopyranosyl-(1 → 2)-O-α-L-rhamnopyranoside (6), and mercaptopurine (7).
The ability of most of drugs to induce side effects is originated from their binding with other targets that might share certain homology with the original targets, so it could be quite handful to use this drugs in treatment of diseases where these targets are dysregulated.
\nSpironolactone (8) is an antagonist to aldosterone; so, it is used for treatment of hypertension due to its diuretic effect; however, its steroidal nature allows it to act as a competitive antagonist at androgenic receptor; so, it was suggested to be used in treatment of androgenic alopecia; however, its effects on hair growth patterns in males might be not clinically preferable. On the other hand, it proved to be significantly effective in treatment of polycystic ovary syndrome and hirsutism in females, due to its ability to inhibit hair regrowth in androgen-dependent regions of the body, which was proven by several clinical trials.
\nAnother intriguing example for off-targets drug repositioning is doxepin (9) which is a tricyclic antidepressant; it prevents reuptake of serotonin and norepinephrine, leading to an increase in the synaptic concentrations of those neurotransmitters. Nevertheless, there are several off-target effects that are associated with the use of this class of drugs, which are mainly mediated by muscarinic and histamine receptors. This could be explained by its high affinity to H1 receptor which is much higher than hydroxyzine by 56 times and diphenhydramine 800 times; such observation opened the gate to the FDA approval for treatment of dermatological conditions such as pruritus, psychodermatosis, and chronic urticaria as topical and systemic agents.
\nOff-target effects are also influenced by the route of administration; sodium valproate (10), an anti-epileptic drug, inhibits the cellular sodium influx by blocking voltage-dependent sodium channels and induces chloride influx by gamma hydroxyl butyric acid (GABA)-mimetic effect. It also reduces the release of GABA, thereby attenuating neuronal excitation induced by glutamate receptors. It was reported by several clinical trials that oral administration of valproate could induce hair loss in dose-dependent manner by decreasing biotinidase activity leading to alopecia induced by biotin deficiency.
\nHowever, sodium valproate topical treatment induced hair growth in male C3H mice model, which could be explained by its ability to inhibit glycogen synthase kinase 3β and activation of Wnt/β-catenin pathway, which in turn, is associated with hair regeneration and anagen induction. This result was supported by randomized interventional study, where 7.2% spray of sodium valproate applied twice daily on scalp up to 24 weeks showed the efficacy of valproate spray on androgenic alopecia.
\nDapsone(11), which is known to be one of the few agents used to fight leprosy, was developed as an antistreptococcal agent by targeting dihydropteroate synthetase in bacteria; it was only matter of time until its anti-inflammatory effect was noticed due to its effect on numerous neutrophil-mediated and autoimmune processes; so, it is now used for recurring neutrophilic dermatosis, cicatricial pemphigoid, linear IgA dermatosis, IgA pemphigus, erythema elevatum diutinum, acropustulosis infantilis, and prurigo pigmentosa [28].
\nFinally, thalidomide (12) is a distinguishable case in drug repositioning; it was used for treatment of morning sickness in pregnant women after its withdrawal due its teratogenic effect; such side effect was studied thoroughly and explained by the ability of the drug to inhibit vascular endothelial growth factor (VEGF) which has a significant role in angiogenesis and embryo development; so, this drug was repositioned for treatment of multiple myeloma; also, it was found that thalidomide is a strong inhibitor for tumor necrosis factor alpha (TNF-α) and was approved by FDA for management of erythema nodosum leprosum [29, 30]. The chemical structure of compounds (8–13) is presented in Figure 5.
\nChemical structure of spironolactone (8), doxepin (9), sodium valproate (10), dapsone (11), and thalidomide (12).
In this approach, data analysis based on omics is used to identify new function instead of finding new targets for certain chemical entity; hence, it might be the most challenging approach as it depends on the advances of molecular biology tools which can reveal the role of already known target in completely different diseases.
\nFinasteride (13) is a drug that was developed for treatment of benign prostatic hyperplasia, by acting as 5α-reductase enzyme inhibitor; this enzyme was found later to be contributing in the development of androgenic alopecia; hence, finasteride at low doses was repositioned to treatment of baldness in men.
\nAnother example is the repositioning of eflornithine (14), which was used for treatment of African trypanosomiasis by inhibiting ornithine decarboxylase; several years later, the homolog enzyme in humans was found to be responsible for hair growth and eflornithine was suggested as potential treatment of hirsutism in woman due to its ability to reduce hair growth. This observation was supported by several clinical trials and is currently marketed as topical preparation.
\nZileuton (15) is a 5-lipoxygenase inhibitor which is used for treatment of asthma, by blocking the biosynthesis of leukotriene B4, which contributes significantly in tissue inflammation in acne; so, several studies on the experimental and clinical levels have been performed to understand its mode of action, as well as safety of this compound in the management of acne vulgaris. Zileuton demonstrated a significant efficiency in patients with moderate acne, whereas a decrease in inflammatory lesions was noticed in comparison to the placebo group. Also, the tolerability and safety of zileuton were satisfactory in all conducted clinical studies [31]. The chemical structure of compounds (13–15) is shown in Figure 6.
\nChemical structure of finasteride (13), eflornithine (14), and zileuton (15).
In disease-centered paradigm, the observation and analysis of data from phenotypic assays, clinical trials, and literature could be an important resource for drug repositioning, as previously mentioned, this type of repositioning is oriented toward the clinical outcomes rather than the exact molecular mechanism behind the drug switch; from other angle, the researcher aims to find certain fingerprint on the genetic or proteomic level to support the repositioning hypothesis; for example, the transcriptomic analysis of different types of autoimmune diseases could reveal similar pattern of gene expression, which means that the same drug could be used for different types of immunity-related condition.
\nQu et al. applied integrative clinical transcriptomic analyses for finding new drugs for treatment of psoriasis. First, gene expression analysis of samples collected from psoriasis patient and normal volunteers were used to identify molecular targets associated with the disease, and then, connectivity map analysis revealed potential drugs for the identified targets, which were resveratrol (16), tiabendazole (17), monobenzone (18), parthenolide (18), doxycycline (19), and methotrexate (20) [32].
\nAlso, Patrick et al. gathered drug-related information from more than 20 million articles using machine learning based on word embedding to build a model that highlights drug-disease relationship in order to repurpose drugs for treatment of immune-mediated dermatological conditions, where prednisone (21), triamcinolone (22), budesonide (23), hydroxychloroquine (24), and leflunomide (25) were among the top five predicted drugs for treatment of psoriasis [33]. The chemical structure of compounds (15–25) is demonstrated in Figure 7.
\nChemical structure of resveratrol (16), tiabendazole (17), monobenzone (18), parthenolide (18), doxycycline (19), methotrexate (20) prednisone (21), triamcinolone (22), budesonide (23), hydroxychloroquine (24), and leflunomide (25).
Bimatoprost (26), a prostaglandin analog, was used for treatment of glaucoma patient, but several clinical observations reported the occurrence of eyelash hypertrichosis; so, it was used for induction of eyelash regrowth in alopecia areata and for cosmeceutical purposes [34, 35].
\nPhenytoin (27) is one of the first discovered antiepileptic drugs; after its introduction to the market, gingival hyperplasia was reported as a side effect for the treatment, which triggered dermatologist to evaluate its ability to heal wounds; so, phenytoin has been evaluated by several clinical studies, where it proved to be useful in treatment of wounds in topical and oral forms; however, the exact mechanism of action is still ambiguous [36].
\nBevacizumab, a monoclonal antibody that is used for treatment of several types of cancer, was observed to achieve complete remission of psoriasis in metastatic colon cancer without any other treatment for psoriasis [37]; a case which was reported again in another study that described the same effect in metastatic renal cell cancer, psoriasis, and psoriatic arthritis patient, which means the bevacizumab could be repurposed for treatment of these dermatoses; also, it sheds the light on the importance of (VEGF) as a target for treatment of inflammatory skin conditions [38].
\nThe Janus kinase (JAK) inhibitor, tofacitinib (28), was developed originally for management of rheumatoid arthritis, ulcerative colitis and other autoimmune diseases, but it was repurposed for psoriasis and atopic dermatitis since JAK was found to be contributing in the pathogenesis of these diseases, and currently, several clinical trials were performed to assess its clinical significance and concluded that response rates in tofacitinib-treated group were significantly higher compared to that in placebo [39, 40, 41].
\nMetformin (29), a type-2 diabetes medication, reduces insulin resistance; however, its mechanism is not completely understood; so, it was suggested as a treatment of several dermatological conditions associated with insulin resistance such as acanthosis nigricans and acne; this was supported by several clinical trials where the patients showed complete resolution. It also was employed in treatment of hyperpigmentation due to its inhibitory effect on tyrosinases, the key enzymes in melanin biosynthesis. The anti-melanogenic effect of metformin was demonstrated experimentally on human skin biopsies and reconstituted human epidermis; also, clinical trials showed that metformin efficacy is comparable to TCC in treating melasma [42, 43, 44].
\nFinally, minoxidil (30), which is a well-known case in drug repositioning, was initially used for treatment of hypertension since its strong vasodilator effect but during clinical trials, hair regrowth was noticed in patients with androgenic alopecia such effect is contributed by stimulating the vascular bed nearby the hair follicles which lead to better environment for hair growth. It was suggested that the ability of minoxidil to activate cytoprotective prostaglandin synthase-1 and stimulate adipose-derived stem cells (ASCs) [45, 46].
\nNiclosamide (NCL) (31) is an anti-helminthic drug that has been utilized for long time with considerable safety profile; several studies reported its anti-inflammatory and anticancer activities, highlighting the potential of repurposing for different indications; Thatikonda et al. used imiquimod (IMQ)-induced BALB/c mouse model to evaluate the efficacy of NCL for treatment of psoriasis, where it alleviated epidermal hyperplasia and inflammation induced by IMQ via downregulating p65, STAT3, NFATc-1, and NF-κB transcription factors along with Ki-67, ICAM-1, and Akt protein expression [47].
\nHall et al. used zebrafish neutrophil migration assay, for evaluation of the suppressive effect of 1280 approved drugs on recruitment of neutrophils; where drugs showing prominent anti-inflammatory activity were further tested in atopic dermatitis animal model, among them 11 drugs which was not reported previously as anti-inflammatory agent [48].
\nChang et al. used in vivo model of chemically induced murine skin tumorigenesis to confirm the hypothesis of repositioning of beta blocker for treatment of skin cancer, since several studies showed that stress-related catecholamine hormone expression can affect tumor progression [49].
\nCarvedilol (32), when administrated orally and topically, prevented DMBA-induced epidermal hyperplasia, suggesting that it may serve as a new agent for protecting against skin cancer [50], which was supported by another study that demonstrated the preventive effect of carvedilol applied topically after UV exposure; so, it can be repositioned as prophylactic agent against skin inflammation and cancer [51].
\nCannabidiol (CBD) (33) is a nonpsychoactive phytocannabinoid found in Cannabis sativa. It is approved recently for the treatment of seizures associated with two uncommon and serious forms of epilepsy, Dravet syndrome, and Lennox-Gastaut syndrome. Oláh et al. reported that CBD-treated human sebocytes and human skin organ in vitro showed strong antiproliferative, lipostatic, and anti-inflammatory effects mediated by a plethora of receptors, ion channels, and other components of the endocannabinoid system [52]. These findings were confirmed later by clinical trial showing that CBD administrated as an ointment is an effective and noninvasive option for enhancing the quality of life in patients with some skin disorders, especially those with inflammatory background [53]. The chemical structure of compounds (26–33) is depicted in Figure 8.
\nChemical structure of bimatoprost (26), phenytoin (27), tofacitinib (28), metformin (29), minoxidil (30), niclosamide (31), carvedilol (32), and cannabidiol (CBD) (33).
Drug repositioning is an important strategy to maximize the benefits from already approved drugs; it will not only contribute to reduction of time and cost for drug discovery but also could help to develop new therapeutics for orphan and ignored diseases. While historic cases of drug repositioning were inspired by serendipity and observations, more systematic approaches became well established by time. In silico and data mining tools could help to analyze the large amount of data available from omics, phenotypic assay, and clinical investigations by revealing novel relationship between drugs, targets, and different pathways of diseases as described in this chapter; the integration of different tools of drug repurposing will allow the identification of safe and effective therapeutics for treatment of dermatological condition and enhance the quality of life of patients.
\nThe authors declare no conflict of interest.
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\\n\\n1. RETRACTIONS
\\n\\nA Retraction of a Chapter will be issued by the Academic Editor, either following an Author’s request to do so or when there is a 3rd party report of scientific misconduct. Upon receipt of a report by a 3rd party, the Academic Editor will investigate any allegations of scientific misconduct, working in cooperation with the Author(s) and their institution(s).
\\n\\nA formal Retraction will be issued when there is clear and conclusive evidence of any of the following:
\\n\\nPublishing of a Retraction Notice will adhere to the following guidelines:
\\n\\n1.2. REMOVALS AND CANCELLATIONS
\\n\\n2. STATEMENTS OF CONCERN
\\n\\nA Statement of Concern detailing alleged misconduct will be issued by the Academic Editor or publisher following a 3rd party report of scientific misconduct when:
\\n\\nIntechOpen believes that the number of occasions on which a Statement of Concern is issued will be very few in number. In all cases when such a decision has been taken by the Academic Editor the decision will be reviewed by another editor to whom the author can make representations.
\\n\\n3. CORRECTIONS
\\n\\nA Correction will be issued by the Academic Editor when:
\\n\\n3.1. ERRATUM
\\n\\nAn Erratum will be issued by the Academic Editor when it is determined that a mistake in a Chapter originates from the production process handled by the publisher.
\\n\\nA published Erratum will adhere to the Retraction Notice publishing guidelines outlined above.
\\n\\n3.2. CORRIGENDUM
\\n\\nA Corrigendum will be issued by the Academic Editor when it is determined that a mistake in a Chapter is a result of an Author’s miscalculation or oversight. A published Corrigendum will adhere to the Retraction Notice publishing guidelines outlined above.
\\n\\n4. FINAL REMARKS
\\n\\nIntechOpen wishes to emphasize that the final decision on whether a Retraction, Statement of Concern, or a Correction will be issued rests with the Academic Editor. The publisher is obliged to act upon any reports of scientific misconduct in its publications and to make a reasonable effort to facilitate any subsequent investigation of such claims.
\\n\\nIn the case of Retraction or removal of the Work, the publisher will be under no obligation to refund the APC.
\\n\\nThe general principles set out above apply to Retractions and Corrections issued in all IntechOpen publications.
\\n\\nAny suggestions or comments on this Policy are welcome and may be sent to permissions@intechopen.com.
\\n\\nPolicy last updated: 2017-09-11
\\n"}]'},components:[{type:"htmlEditorComponent",content:'IntechOpen’s Retraction and Correction Policy has been developed in accordance with the Committee on Publication Ethics (COPE) publication guidelines relating to scientific misconduct and research ethics:
\n\n1. RETRACTIONS
\n\nA Retraction of a Chapter will be issued by the Academic Editor, either following an Author’s request to do so or when there is a 3rd party report of scientific misconduct. Upon receipt of a report by a 3rd party, the Academic Editor will investigate any allegations of scientific misconduct, working in cooperation with the Author(s) and their institution(s).
\n\nA formal Retraction will be issued when there is clear and conclusive evidence of any of the following:
\n\nPublishing of a Retraction Notice will adhere to the following guidelines:
\n\n1.2. REMOVALS AND CANCELLATIONS
\n\n2. STATEMENTS OF CONCERN
\n\nA Statement of Concern detailing alleged misconduct will be issued by the Academic Editor or publisher following a 3rd party report of scientific misconduct when:
\n\nIntechOpen believes that the number of occasions on which a Statement of Concern is issued will be very few in number. In all cases when such a decision has been taken by the Academic Editor the decision will be reviewed by another editor to whom the author can make representations.
\n\n3. CORRECTIONS
\n\nA Correction will be issued by the Academic Editor when:
\n\n3.1. ERRATUM
\n\nAn Erratum will be issued by the Academic Editor when it is determined that a mistake in a Chapter originates from the production process handled by the publisher.
\n\nA published Erratum will adhere to the Retraction Notice publishing guidelines outlined above.
\n\n3.2. CORRIGENDUM
\n\nA Corrigendum will be issued by the Academic Editor when it is determined that a mistake in a Chapter is a result of an Author’s miscalculation or oversight. A published Corrigendum will adhere to the Retraction Notice publishing guidelines outlined above.
\n\n4. FINAL REMARKS
\n\nIntechOpen wishes to emphasize that the final decision on whether a Retraction, Statement of Concern, or a Correction will be issued rests with the Academic Editor. The publisher is obliged to act upon any reports of scientific misconduct in its publications and to make a reasonable effort to facilitate any subsequent investigation of such claims.
\n\nIn the case of Retraction or removal of the Work, the publisher will be under no obligation to refund the APC.
\n\nThe general principles set out above apply to Retractions and Corrections issued in all IntechOpen publications.
\n\nAny suggestions or comments on this Policy are welcome and may be sent to permissions@intechopen.com.
\n\nPolicy last updated: 2017-09-11
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