\r\n\t
",isbn:"978-1-80356-777-8",printIsbn:"978-1-80356-776-1",pdfIsbn:"978-1-80356-778-5",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"84908e027f884ec3fcbaea42eb69b698",bookSignature:"Dr. Hayri Baytan Ozmen",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11524.jpg",keywords:"Computational Intelligence, Fuzzy Clustering, Fuzzy Sets Theory, Genetic Algorithm, Neural Network, Artificial Intelligence, Decision Making, Control Theory, Computer-Aided Diagnosis, Fuzzy Optimization, Pattern Recognition, Feature Extraction",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 1st 2022",dateEndSecondStepPublish:"April 29th 2022",dateEndThirdStepPublish:"June 28th 2022",dateEndFourthStepPublish:"September 16th 2022",dateEndFifthStepPublish:"November 15th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Researcher with more than sixty-five research papers published in international journals and has been involved in more than ten national and international research projects. He is the editor-in-chief of an international journal on materials and structural engineering.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"198122",title:"Dr.",name:"Hayri Baytan",middleName:null,surname:"Ozmen",slug:"hayri-baytan-ozmen",fullName:"Hayri Baytan Ozmen",profilePictureURL:"https://mts.intechopen.com/storage/users/198122/images/system/198122.png",biography:"Dr. Hayri Baytan Ozmen is currently an associate professor in the Department of Civil Engineering, Usak University, Turkey. He graduated from the Civil Engineering Department of the Middle East Technical University, Turkey, in 2001. He received his PhD in the same field from Pamukkale University in 2011. His research interests includes reinforced concrete structures, earthquake engineering, seismic evaluation, and retrofit. He has more than sixty-five research papers published in international journals and conferences and has conducted and been involved in more than ten national and international research projects. He performed seismic evaluation or design of seismic retrofit systems for more than 150 RC buildings and provided consultancy for structural engineering studies. He is the editor in chief of an international journal on materials and structural engineering.",institutionString:"Usak University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Usak University",institutionURL:null,country:{name:"Turkey"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"11",title:"Engineering",slug:"engineering"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"347259",firstName:"Karmen",lastName:"Daleta",middleName:null,title:"Ms.",imageUrl:"//cdnintech.com/web/frontend/www/assets/author.svg",email:"karmen@intechopen.com",biography:null}},relatedBooks:[{type:"book",id:"10198",title:"Response Surface Methodology in Engineering Science",subtitle:null,isOpenForSubmission:!1,hash:"1942bec30d40572f519327ca7a6d7aae",slug:"response-surface-methodology-in-engineering-science",bookSignature:"Palanikumar Kayaroganam",coverURL:"https://cdn.intechopen.com/books/images_new/10198.jpg",editedByType:"Edited by",editors:[{id:"321730",title:"Prof.",name:"Palanikumar",surname:"Kayaroganam",slug:"palanikumar-kayaroganam",fullName:"Palanikumar Kayaroganam"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"117",title:"Artificial Neural Networks",subtitle:"Methodological Advances and Biomedical Applications",isOpenForSubmission:!1,hash:null,slug:"artificial-neural-networks-methodological-advances-and-biomedical-applications",bookSignature:"Kenji Suzuki",coverURL:"https://cdn.intechopen.com/books/images_new/117.jpg",editedByType:"Edited by",editors:[{id:"3095",title:"Prof.",name:"Kenji",surname:"Suzuki",slug:"kenji-suzuki",fullName:"Kenji Suzuki"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3828",title:"Application of Nanotechnology in Drug Delivery",subtitle:null,isOpenForSubmission:!1,hash:"51a27e7adbfafcfedb6e9683f209cba4",slug:"application-of-nanotechnology-in-drug-delivery",bookSignature:"Ali Demir Sezer",coverURL:"https://cdn.intechopen.com/books/images_new/3828.jpg",editedByType:"Edited by",editors:[{id:"62389",title:"PhD.",name:"Ali Demir",surname:"Sezer",slug:"ali-demir-sezer",fullName:"Ali Demir Sezer"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"872",title:"Organic Pollutants Ten Years After the Stockholm Convention",subtitle:"Environmental and Analytical Update",isOpenForSubmission:!1,hash:"f01dc7077e1d23f3d8f5454985cafa0a",slug:"organic-pollutants-ten-years-after-the-stockholm-convention-environmental-and-analytical-update",bookSignature:"Tomasz Puzyn and Aleksandra Mostrag-Szlichtyng",coverURL:"https://cdn.intechopen.com/books/images_new/872.jpg",editedByType:"Edited by",editors:[{id:"84887",title:"Dr.",name:"Tomasz",surname:"Puzyn",slug:"tomasz-puzyn",fullName:"Tomasz Puzyn"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"37965",title:"Non-Traditional Pesticidally Active Compounds",doi:"10.5772/46230",slug:"non-traditional-pesticidally-active-compounds",body:'Several organic compounds have not been approved as applied pesticides showed some useful actions against different pests. They may be considered as cores of new pesticides. Some compounds were prepared and assessed for their pesticidal activities. They showed persuasive effects as fungicides, herbicides (phytocidal effects), nematicides, molluscicides, insecticides as well as rodenticides comparing with commercial pesticides.
Both indol-3-acetic acid GRG, El-Gomhouria Drug Company; indole-3-butyric acid, Sisco Research Laboratories, Mumbai, India, and other chemicals and solvents were purchased from El-Gomhouria Drug Company, Egypt. Standards of used herbicide, metribuzin (sencor), (4-amino-6-tert.butyl-4,5-dihydro-3-methylthio-1,2,4-triazin-5-one) and used fungicide metalaxyl, N-(2,6-dimethylphenyl-N-methoxyacetyl)-DL-alaninemethylester were donated by Kafr El-Zayat Company for pesticides, Egypt. Based on [1-2] with modification, some benzotriazole, benzylidine, coumarin, imidazolidine, indole, oxazolone and pyrazole, derivatives were prepared and identified [3-7].
Structural confirmation was carried out by determination of melting points on kofler block; elemental micro analysis (C, H, N, X); IR, UV, NMR and Mass spectroscopy measurements in Microanalytical Center, Cairo University, Giza, Egypt. NMR spectra were recorded on Varian Mercury-VX-300 NMR Spectrometer using tetramethylsilane (TMS) as a standard. Mass spectra were recorded on a Schimadzu MS5988-mass spectrometer at 70 ev. Determination of soluble sugars, chlorophyll contents and total soluble phenols (TSP) were done on Unico-1200 Spectrophotometer. Both enzymatic activity and nucleic acids contents were measured using Nicolet 100 UV-VIS Spectrophotometer, Thermo Electron Corporation.
Wood decay fungi,
Albino norway rats strain (
Through these studies,
Seed treatment was carried out according to [18]. Toxic effects on the seedling stage (after germination) of both root and shoot systems using the plain agar was done according to [19]. In dried wheat seedlings, total soluble sugars (T.S.S), reducing sugars (R.S) and non-reducing sugars (non-R.S) expressed as g/g dried plant were determined [20]. Chlorophyll (a and b) contents were calculated in µg/g tissue fresh weight [21]. Total soluble phenolics were determined as mg gallic acid equivalent (mg GAE)/g fresh weight [22-23]. Mortality test was carried out on Albino norway rats strain (
In the vast heterocyclic structural space, the indole nucleus occupies a position of major importance as antimicrobial agents. Combination of IAA (at 100 µg/ml) with
1-Acetylindole-3-butyric acid affected both RNA and DNA contents differently according to the tested fungus and concentration. It reduced them in
Preparation of Compounds 1-8
2.19 | 4.75 | 0.6 0.005 | 420 (222 – 823) | Indole-3-acetic acid | |
2.72 | 7.04 | 0.87 0.011 | 523 (322 – 859) | 1-Benzoyl indole-3-acetic acid | |
3.00 | 2.78 | 1.28 0.025 | 576 (388 – 858) | Indole-3-butyric acid | |
0.14 | 4.54 | 1.41 0.01 | 26.6 (21.3 –33.3) | 1-Acetyl indole-3-butyric acid | |
2.67 | 1.29 | 1.03 0.015 | 513 (335 – 793) | 1-Benzoyl indole-3-butyric acid | |
0.35 | 8.57 | 1.11 0.008 | 67.4 (53.0- 85.8) | 2-Phenylindole | |
0.45 | 5.33 | 0.98 0.007 | 86.7 (66.4 – 113) | 1-Acetyl-2-phenylindole | |
0.52 | 0.63 | 1.02 0.008 | 99.9 (77 – 129.9) | 1-Benzoyl-2-phenylindole | |
1.0 | 3.6 | 0.69 0.006 | 192 (126 – 296) | Metalaxyl | |
4.66 | 2.83 | 0.81 0.011 | 807 (440 – 1514) | Indole-3-acetic acid | |
3.30 | 2.99 | 0.97 0.014 | 572 (359 – 923) | 1-Benzoyl indole-3-acetic acid | |
4.03 | 1.28 | 1.38 0.003 | 699 (458 – 1073) | Indole-3-butyric acid | |
0.34 | 3.87 | 1.21 0.009 | 59.0 (47.0 – 74) | 1-Acetyl indole-3-butyric acid | |
2.59 | 2.62 | 1.38 0.026 | 448 (325 – 622) | 1-Benzoyl indole-3-butyric acid | |
0.55 | 8.1 | 1.06 0.008 | 96 (74.6- 123.4) | 2-Phenylindole | |
0.54 | 7.78 | 1.03 0.008 | 93 (71.7 – 120.0) | 1-Acetyl-2-phenylindole | |
2.05 | 2.18 | 1.02 0.001 | 355 (247 – 514) | 1-Benzoyl-2-phenylindole | |
1.00 | 4.78 | 0.93 0.008 | 173 (127 –237.6) | Metalaxyl | |
1.43 | 3.76 | 0.93 0.001 | 301 (207.9- 438) | Indole-3-acetic acid | |
0.81 | 3.96 | 0.91 0.008 | 171 (125 – 236) | 1-Benzoyl indole-3-acetic acid | |
1.18 | 9.33 | 0.98 0.001 | 249 (179 – 349) | Indole-3-butyric acid | |
0.09 | 1.72 | 1.1 0.006 | 19 (14.4 – 24.8) | 1-Acetyl indole-3-butyric acid | |
2.31 | 0.46 | 1.0 0.14 | 488.4 (319 –753) | 1-Benzoyl indole-3-butyric acid | |
0.08 | 0.48 | 0.67 0..004 | 17.7 (11.8 –26.4) | 2-Phenylindole | |
0.07 | 2.15 | 0.61 0.004 | 15.0 (9.5 – 23.2) | 1-Acetyl-2-phenylindole | |
0.38 | 3.99 | 0.73 0.005 | 81 (57.2 – 115) | 1-Benzoyl-2-phenylindole | |
1.00 | 1.03 | 0.80 0.007 | 211 (145 – 310) | Metalaxyl | |
4.36 | 4.42 | 0.94 0.016 | 1009 (539–1923) | Indole-3-acetic acid | |
5.38 | 9.08 | 0.71 0.008 | 1244 (633–2515) | 1-Benzoyl indole-3-acetic acid | |
2.78 | 2.38 | 0.79 0.01 | 644 (368 – 1151) | Indole-3-butyric acid | |
0.51 | 6.1 | 1.57 0.018 | 117 (97.6 – 141) | 1-Acetyl indole-3-butyric acid | |
2.87 | 2.64 | 0.79 0.01 | 663 (377 – 1192) | 1-Benzoyl indole-3-butyric acid | |
0.15 | 7.14 | 0.81 0.005 | 34.6 (25.1 –47.5) | 2-Phenylindole | |
0.16 | 1.79 | 0.85 0.005 | 37.5 (27.6 –50.7) | 1-Acetyl-2-phenylindole | |
0.53 | 3.31 | 1.0 0.008 | 122.2 (93 –161) | 1-Benzoyl-2-phenylindole | |
1.00 | 3.21 | 0.98 0.01 | 231 (167.7 –321) | Metalaxyl |
It could be concluded that 2-phenylindole and 1-acetylindole-3-butyric acid affected both RNA and DNA contents in the tested fungi, which may develop deformed and dead cells. These effects of indole acetic acid and some derivatives are due to formation of 3-methylene-2-oxindole, which may conjugate with DNA bases and protein thiols [34]. There were highly effective against polyphenoloxidase and peroxidase activities that means disturbance in the cell physiology as [28] revealed that IAA alone or with
The Egyptian cotton leaf-worm,
Lethal effects
The tested compounds were more effective against the 4th larval instar than the 6th instar after 5 days except 1-acetylindole-3-butyric acid (3) and 1-acetyl-2-phenylindole (7). The effect was increased after nine days in all cases. 1-Benzoyl-2-phenylindole (8) was less effective on the 6th instar. 2-Phenyl indole (6) and its 1-acetyl derivative (7) were more effective on the 6th instar. Lethal effects were increased in all tested compounds against 6th instar except for compounds 2 and 5. It was also found that substitution of compound 3 raised the toxicity on the 6th instar. The increase due to its acetylation was greater than benzoylation. Substitution of 2-phenyl moiety on the indole ring in stead of side aliphatic carboxylic group increased the larval mortality in case of compound 6 more than in indole-3-acetic acid (1). Substitution with 1-acetyl on 2-phenylindole multiplied the lethality against the two tested larval instars, while substitution with 1-benzoyl in compound 8 enhanced the toxicity only against the 4th larval instar. The most effective compound was indole-3-butyric acid (2) with 70.9 and 39.7 g/gm LC50 values on the 4th instar after 9 and 13 days, while 1-acetylindole-3-butyric acid (3) and 1-acetyl-2-phenylindole (7) were more effective with 151.4 and 80.6 g/gm LC50 values against the 6th instar. So, compounds 2, 3 and 7 were chosen for egg treatment.
Sub-lethal effects (Fresh body weight)
The larval weight of the 4th instar (after 7 days) was differently affected with the applied derivatives. Benzoylation of indole-3-acetic acid in compound 4 affected the larval weight in non systematic arrangement with concentrations. Acetylation of indole-3-butyric acid in compound 3 reduced the larval weight at 50 and 100 µg/gm, followed by an increase at higher concentrations. On the contrary, its benzoyl derivative (compound 5) increased the larval weight at lower concentration, followed by reduction at the two higher concentrations. Light reduction occurred at low concentrations, followed by gradual activation with increasing the concentration, which was exhibited by compound 6. Substitution with 1-acetyl moiety in compound 7 increased the larval weight at low concentration followed by inhibition percents ranging from 3.2 to 18.5% of control at 100-1000 µg/gm. Benzoylation of 2-phenylindole in compound 8 decreased the reduction effect more than compound 7. Comparing with the untreated 6th larval weight (0.77 gm) after two days, all the tested compounds reduced the treated larval weight at all concentrations with different degrees and arrested their development to 7 days after treatment. Compounds 1 and 2 showed narrow differences among their concentrations with less reducing effect, followed by compounds 8,6, 5 and 7. Compounds 3 and 4 were the most active derivatives in weight reduction. From these results, the hormonal effect was obviously clear through the activation of larval weight in most cases when applied earlier at the 4th instar more than at the 6th instar (Figure 1).
Development
Untrated 4th instar larvae developed to pupal and adult stages after 6-7 and 9-10 days, respectively. Indole-3-acetic acid (1) at 10 µg/gm delayed this development to 29 and 45 days, respectively. However, the other compounds were less effective causing developing of 50, 10, 75, 92, 13, 63, and 83% of the treated larvae to pupae in case of compounds 2, 3, 4, 5, 6, 7 and 8, respectively after 21 days. While, compounds 5 and 7 caused complete transformation of the treated population to adults, compounds 2, 4, 6 and 8 caused developing of 75, 75, 55 and 67 % of pupae to adults. Compound 3 (1-acetylindole-3-butyric acid) was the most effective structure blocking adult emergence to 25% of the treated population after 45 days. Regarding 6th larval instar, its control completely developed to the pupal and adult stages after 2-3 and 7-8 days, respectively. All compounds arrested the larval development except compounds 3 and 5, which caused 25 and 18% pupation after 13 days. Compound 1 was the most effective inhibiting the adult emergence, followed by compound (4), 1-benzoylindole-3-butyric acid (5), indole-3-butyric acid (2), 2-phenylindole (6), 1-acetylindole-3-butyric acid (3), 1-benzoyl-2-phenylindole (8) and 1-acetyl-2-phenylindole (7). They blocked the adult emergence to 7, 14, 31, 33, 39, 46, 48 and 50% of the treated population after 35 days. From the results, the duration of
Effect of the tested compounds on fresh larval weight of
Malformations
Comparing with the untreated larvae, compounds 1 and 2 exhibited 14.6% and 16.7% malformation in the intermediates of the treated 4th larval instar at 200 µg/ml, with no effect on 6th larvae. Acetylation of indole-3-butyric acid in compound 3 affected the intermediates at lower concentrations in the 6th larval instar, while its benzoylation increased this effect against the 4th instar only. Acetylation of 2- phenylindole caused 32.6 and 61.1% intermediate malformation at 100 and 200 µg/ml in treated 4th instar larvae. 1-Benzoyl-2-phenylindole affected 4th larvae at 10 µg/ml with 7.6% malformation. However, its effect was as high as 10.1% at the higher concentrations against 6th instar intermediates. These malformation symptoms appeared as larval-pupal intermediates in which the posterior portion of the body only exhibited the pupal shape, while the anterior portion had larval head capsule and thoracic legs (Figure 3). Malformation of the produced pupa (forming abnormal pupa without wings or that failed to shed the larval cuticle) resulted from the 4th larval instar, which was more sensitive than that from 6th larval instar to treatment with compounds 1-3, 2-phenylindole (6) and 1-benzoyl-2-phenylindole (8). The effects of compounds 4 and 5 depended on the applied concentration. Benzoylation of 2-phenylindole increased the pupae malformation. Adult malformation (adult failed to shed the pupal cuticle or adult with dwarf wings) was affected with the tested compounds, concentration and larval instar. Adult emergence from both treated instars was affected. Compounds 1, 2, 3 and 5 blocked the adult emergence to 10.3 - 47.4%, 16.7 - 50%, 20.2 - 50.6% and 10.6 - 55.7% in systematic arrangement, respectively from 4th larval populations comparing with 100% of control. The blocking effect was reduced with increasing the concentration. They blocked adult emergence to 25.9-43.7%, 36.8-57.0%, 31.9-40.9% and 32.5-66.9%, respectively in non systematic arrangement in case of the 6th larval population. Compound 4 caused 9.5-20.8% and 22.9-69.5% adult emergence in case of the treated 4th and 6th larval instars, respectively. Although 2-phenylindole and its 1-acetyl derivative affected the adult emergence from both treated instars in non systematic arrangement, its 1-benzoyl derivative blocked the adult emergence with increasing the concentration. Adult emergence was more inhibited from 4th larval instar treatment indicating that treatment of the lower larval instars gave good results of control (Figure 4).
Effect on eggs
Egg hatchability was inhibited increasingly in systematic arrangement with concentrations. Both 1-acetylindole-3-butyric acid (3) and 1-acetyl-2-phenyl-indole (7) completely stopped hatching when mixed at 100 g/gm with the medium. As the untreated egg mass hatched completely within 24 hours, treated eggs took 48-96 hours and 6-7 days at high concentrations of compound 2 and compounds 3&7, respectively. After 48 hours, only dipping the egg masses in solutions of compound 2 inhibited hatching with IC50 value equaled 29.1 g/ml and killed the produced larvae with LC50 value equaled 26.2 g/ml. Transferring treated eggs to the poisoned medium enhanced the toxicity to IC50 equaled 13.2 g/gm and LC50 equaled 15.2 g/gm. Although acetylation of compound 3 decreased larval mortality in dipping technique with or without transferring the eggs to the poisoned medium, it enhanced egg-hatching inhibition when dipped only in the toxic solutions. Although compound 7 was less effective when egg masses were dipped in it, its mixing with the used medium greatly enhanced the effect with IC50 value equaled 15.3 g/gm on egg-hatching and LC50 value equaled 7.5 g/gm on larval mortality. In conclusion, mortality of 4th instar larvae was increased with increasing the aliphatic side chain. Substitution of N-H of 2-phenylindole raised the toxicity, vice versa in case of indole-3-butyric acid against the same instar. The tested compounds affected larval weight, pupation and adult emergence indicating that treatment induced an effect typical to juvenile hormone excess. These effects varied according to the tested compound. These delayed effects are expressed as developmental abnormalities in the adult stage. These effects may be due to oxidative decarboxylation forming 3-methylene-2-oxindole, which may conjugate with DNA bases and protein thiols [34]. It may be also due to inhibition of cholinesterase [40]. Its effect is associated with cell phenoloxidase (PO) and peroxidase activities [6, 41]. Phenoloxidase (PO) is believed to be a key mediator of immune function in insects.
Effect on
Maleformations effects of the tested indole derivatives
This notice may clarify the effect of the tested compounds on adult emergence and pupation. N-H and N-substituted indole-2- and 3-carboxamide showed a strong inhibitory (95-100%) effect on superoxide anion (SOD). Substitution on 1-position of the indole ring caused significant differences between the activity results regarding lipid peroxidation inhibition [42] emphasizing the differences in effects due to the derivative structure.
Emergence percents of
Due to antimicrobial activity of some 3,5-dimethylpyrazole derivatives [43], 3,5-dimethylpyrazole (1), 1-Benzoyl-3,5-dimethylpyrazole (2), 3-methyl-1-phenylpyrazol-5-one (3) and 3-methyl-1-(2,4-dinitrophenyl)-pyrazol-5-one (4) were prepared, structurally confirmed and studied for their effects against
Chemical structures of pyrazole derivatives and used standard pesticides
Pyrazole derivatives inhibited the growth of root and shoot systems of wheat and squash seedlings differently. Benzoylation of 3,5-dimethylpyrazole (1) decreased its inhibition on wheat shoot system growth, vice versa against its root system. Introducing the 2,4-dinitro- moiety enhanced the toxicity of 3-methyl-1-phenyl pyrazol-5-one (3) on wheat shoot and root systems. Compounds 1, 2, 3 and 4 inhibited cucumber seedlings root system with 95, 109, 95 and 58 µg/ml and its shoot system with 38, 90, 60 and 78 µg/ml, comparing with 115 and 86 µg/ml of metribuzin, respectively. It gave 81 and 52 µg/ml on wheat shoot and root systems. The standard herbicide was less effective than the tested compounds on quash shoot system. Compound 1 was inactive against
Actually we were interested to evaluate pesticidal actions of some imidazolidine and oxazolone derivatives as some of them are insecticides, herbicides and fungicides [44]. So three other derivatives of imidazolidine: 5,5-dimethylimidazolidin-2,4-dione, 5,5-diphenylimidazol-idin-2,4-dione and 5,5-diphenylimidazolidin-2-thione-4-one and two oxazolone derivatives: 4-Benzylidine-2-methyloxazol-5-one and 4-Benzylidine-2-phenyl-oxazol-5-one were prepared and checked for their structure. Their fungicidal, phytocidal and insecticidal effects were carried out as in case of pyrazole derivatives.
Fungicidal activity
Imidazolidine derivatives appeared more effective than the oxazol-5-one derivatives on
Preparation scheme of compounds 1-5
From the obtained results, fungitoxic activities proved to be a function of both the tested compound and the used fungus. In general, through analysis of variance (ANOVA) of hyphal growth inhibition percents, compound 3, 5,5-diphenylimidazolidin-2-thione-4-one was the most active against the tested fungi with Mean SE of growth inhibition equaled 34.69e. The other tested compounds were arranged as Mean SE was 32.742.53d, 28.672.79c, 25.082.44b and 24.652.29b and 19.932.00a, respectively in case of standard fungicide, compound 5, compounds 1 and 2, compound 4.
Phytocidal activity
The tested compounds inhibited germination and shoot growth of treated
Insecticidal activity
The tested compounds exhibited low mortality on 24 hours treated
The tested compounds exhibited phytocidal and fungicidal activities higher than their insecticidal effects. Differences in these compounds could be referred to chemical structure as in imidazolidine derivatives, presence of the 2-thione in compound 3 increased its fungitoxic effect nearly against all of the tested fungi. Substitution of 5,5-dimethyl moiety in compound 1 increased the toxicity more than 5,5- diphenyl moiety in compound 2 against
Feeding inhibition on
To extend the spectrum of newly discovered antifungal compounds facing continuous fungal infections, six benzotriazole derivatives as well as two coumarin derivatives were synthesized, confirmed for their structure and evaluated on
In vitro fungitoxicity effects
Effect of the tested 1,2,3-triazole and coumarin derivatives on three soil fungi and two foliar fungi based on their structure differences. 5,6- Dichlorobenzotriazole proved to be highly toxic against
Chemical structure of tested triazole and coumarin derivatives
Effect on polyphenoloxidase and peroxidase activities
5,6-Dichlorobenzotriazole at 0.1, 0.25, 0.5, 1 and 2 IC50 rates in µg/ml affected both polyphenoloxidase (PPO) and peroxidase (PO) enzymes for each tested fungi. Their activities were in non-systematic response depending on the type of fungus and concentration. The activity of polyphenoloxidase was highly increased in
Effect on DNA and RNA contents
5,6-Dichlorobenzotriazole at several rates of its IC50 values affected DNA and RNA contents in each tested fungus. In
The previously explained benzotriazole and coumarin derivatives were studied also for their rodenticidal effects against the white Noway rat. In fact the two coumarin derivatives might be expected in their effects, while the benzotriazole derivatives were tested to stand on their toxicity related to studied coumarin comparing with Coumachlor, 3-(-acetonyl-4-chlorobenzyl)-4-hydroxy-coumarin as standard anticoagulant rodenticide.
During the baiting of the tested rats (
Benzotriazole derivatives weakly affected the haemoglobin and haematocrit of both males and females within the tested doses (10-300 mg/kg) with ED50 of >300 mg/kg. While, dicoumarol and furopyrone were highly and moderately toxic against haemoglobin of male and female rats with ED50 values of 24 & 27 mg/kg and 90 & 130 mg/kg body weight, respectively. Furopyrone and dicoumarol were moderately active on haematocrit of males with ED50 values of 53 and 65 mg/kg but on females with 135 and 195 mg/kg respectively. Red blood cells(RBC’s) of females were found to be more sensitive to coumachlor, dicoumarol, furopyrone, 5,6-dimethylbenzotriazole, benzotria-zole followed by 1-benzoyl-5,6-dimethylbenzotriazole as highly toxic compounds reducing RBC’s of males with ED50 values of 7, 12, 19, 28, 40 and 44 mg/kg, respectively (Loomis, 1976). Coumachlor, dicoumarol, furopyrone and 5,6-dimethylbenzotriazole were also highly toxic against RBC’s of females with ED50 value of 10.5, 25, 32 and 40 mg/kg, respectively. However the other compounds moderately reduced the RBC’s counts of males and females. White blood cells (WBC’s) of males were highly sensitive to 5,6- dichlorobenzotriazole, coumachlor and dicoumarol with ED50 values of 12, 13, and 37 mg/kg, whereas dicoumarol and 5,6-dichlorobenzotriazole were highly toxic in reducing it in females with ED50 values of 32 and 42 mg/kg, respectively. The other compounds proved to be moderately toxic in both males and females except benzotriazole, 1-acetylbenzotriazole and furopyrone. 5,6-Dichlorobenzotriazole was nearly equal to coumachlor in reducing males WBC’s, whereas dicoumarol and 5,6-dichlorobenzotriazole were more effective than coumachlor against female WBC’s.
Benzotriazole derivatives as well as furopyrone weakly affected sALT enzyme in both males and females. 5,6-Dimethylbenzotriazole was more potent reducing sAST enzyme activity in both males and females with ED50 values of 8.8 and 13.5 mg/kg, respectively. Dicoumarol was also highly toxic compound against sAST in males and females with ED50 of 24 and 32 mg/kg, respectively whereas coumachlor was highly toxic against females and moderately against males with 24 and 54 mg/kg ED50 values, respectively. 5,6-Dimethylbenzotriazole was more potent reducing sAST activity in both males and females with ED50 values of 8.8 and 13.5 mg/kg, respectively. Dicoumarol was also categorized as highly toxic against sAST in males and females with ED50 of 24 and 32 mg/kg, respectively whereas coumachlor was highly toxic against females and moderately against males with 24 and 54 mg/kg ED50 values, respectively. 1-Acetylbenzotriazole was moderate reducing sAST activity in males with ED50 equalled 160 mg/kg. The other derivatives and furopyrone weakly affected it in both sexes.
Actually ,- unsaturated ketones were prepared according to Claisen Schmidt reaction (CSR) mechanism for searching their potency controlling some pests based on their biological history [55-56]. These biological activities of chalcone derivatives (as benzylidine derivatives) directed the attention to prepare some chaclone derivatives; dibenzylidineacetone, dibenzylidineacetylacetone and benzylidineacetophenone (chalcone).
Phytocidal effectsBenzylidineacetophenone (chalcone), dibenzylidineacetone and dibenzyli-dineacetylacetone were active against the root system of wheat seedlings (
Comparing with methomyl (Lannate), Dibenzylidineacetone and lannate proved to be highly toxic against the cotton leaf worm (
Generally, the prepared compounds caused moderately phytotoxic effects on both wheat and squash seedlings but they were specific on root system of wheat seedlings. Dibenzylidineacetone caused nearly the same effects as methomyl against cotton leaf worm. So, it could be concluded that dibenzylidineacetone after different biological tests may be safe as an insecticide against cotton leaf worm as it was previously prepared as a sun protection cream [57].
Wood decay fungi are destructive agents of wood industry. They degraded the used fungicides [59,60]. Due to their importance and the activities of benzylidine and pyrazole derivatives, their toxic effects were evaluated on the white rot fungus
IC50g/ml (95%C L) | Slope S.E | IC50 g/ml (95%C L) | Slope S.E | |||
1,5-Diphenylpenta-1,4-dien -3–one | 295.4 c (250-350) | 1.51 0.019 | 5.9 | 976.9 b (796-1198) | 1.17 0.02 | 6.8 |
1,7-Diphenyl hepta-1,6-dien-3,5–dione | 317.1 b (263-383) | 1.35 0.02 | 0.4 | 1995.4 a (1452-2747) | 0.93 0.02 | 6.4 |
1,3-Diphenylpropen-3-one (Chalcone) | 84.5 e (57.1-124.4) | 0.86 0.01 | 4.3 | 103.9 g (66.6-160.8) | 0.73 0.01 | 2.5 |
3,5-Dimethylpyrazole | 867.7 a (759-992) | 1.96 0.026 | 3.0 | 944.8 c (784-1138) | 1.3 0.021 | 2.6 |
3-Methyl-1-phenylpyrazol-5-one | 744.2 b (655-846) | 2.18 0.028 | 0.5 | 632.4 d (549.6-728) | 2.06 0.026 | 3.9 |
3-Methyl-1-(2,4-dinitro- phenyl)-pyrazol-5-one | 19.6 f (16.7-22.9) | 2.16 0.028 | 9.1 | 112.7 f (88.9-142.7) | 1.17 0.01 | 3.9 |
Boric acid | 252.5 d (226-282.3) | 2.38 0.033 | 2.5 | 189.1 e (166.3-215) | 2.0 0.026 | 7.9 |
Fungicidal effects of certain benzylidine and pyrazole compounds on
In vivo antifungal activity
After six weeks exposure to fungal attack, the average mass loss in control was 41.27 and 41.53% for poplar (
Treatment | Conc (IC50 values) | ||||||
Retention Kg/m3 | Mass loss % SE | Retention Kg/m3 | Mass loss % SE | ||||
Un-Leached | Leached | Un-Leached | Leached | ||||
Control | 0.0 | 0.0 | 41.27 g 0.43 | 41.27 e 0.43 | 0.0 | 41.53g 0.42 | 41.53g 0.42 |
1,3-Diphenyl-propen-3-one Chalcone) (3) | 0.5 | 0.022 | 30.43 f 0.77 | 33.03 d 0.37 | 0.021 | 30.83f 0.92 | 34.87f 0.37 |
1.0 | 0.044 | 28.10 e 0.61 | 31.07 c 0.58 | 0.043 | 28.10e 0.35 | 32.30d 0.15 | |
5.0 | 0.194 | 26.23 d 0.55 | 29.33 b 0.26 | 0.210 | 26.4 d 0.49 | 31.10c 0.51 | |
10.0 | 0.447 | 23.87 c 0.61 | 28.10 a 0.42 | 0.463 | 24.80c 0.68 | 29.0 b 0.21 | |
3-Methyl-1-(2,4-dinitro-phenyl)-pyr-azol-5-one (6) | 0.5 | 0.004 | 29.23 f 0.82 | 31.13 c 0.52 | 0.019 | 30.0 f 0.32 | 33.30e 0.38 |
1.0 | 0.009 | 23.40 c 0.67 | 30.13 c 0.55 | 0.039 | 25.57d 0.43 | 31.17c 0.15 | |
5.0 | 0.042 | 18.07 b 0.45 | 29.40 b 0.35 | 0.199 | 20.87b 0.20 | 29.47b 0.55 | |
10.0 | 0.089 | 13.67 a 0.54 | 28.63 b 0.37 | 0.394 | 14.47a 0.34 | 27.5 a 0.58 |
Average of retention (kg/m3) and mass losses (%) of Poplar (
The effect of compound 6 was reduced by leaching samples more than compound 3 ensuring that the former is easily leached due to its hygroscopic nature. Descriptive analysis proved compound 6 more significantly effective with general mean of mass loss ± SE of 25.12% ± 2.58 in comparison to 29.98% ± 1.63 of compound 3 in case of un-leached poplar samples, while no significant differences between them in leached samples were observed. In Scots pine sapwood, significance appeared in both cases as compound 6 achieved general mean of mass loss ± SE of 26.49% ± 2.44 and 32.59% ± 1.31 comparing with 30.33 % ± 1.61 and 33.76 % ± 1.16 of compound 3 in un-leached and leached samples. Differences between the benzylidine derivatives in their fungicidal activity could be referred to the conjugation among carbonyl groups, phenyl rings and double bonds, so compound 2 was less effective due to lack of this conjugation because of CH2 moiety. Compound 3 was more effective than compound 1 may be due to the lipophilicity [61]. The effect of benzylidine derivatives (benzaldhyde derived compounds) was greatly inhibited against
Phytocidal effects of five-memberred heterocyclic derivatives were studied on monocotyledonous (
In seed treatment, wheat seedlings growth was more sensitive to the tested compounds than seed germination. Pyrazole derivatives were less effective than both indole and benzotriazole derivatives against seed germination, while their effects against vegetation depended on the structure. 5,6-Dichlorolbenzotriazole was more potent than the standard herbicide, metribuzin against both seed germination and growth of seedlings. 1-Acetylindole-3-butyric acid caused nearly the same effect of metribuzin on seed germination, whereas its effect on seedling growth was less than it. However, the other benzotriazole, indole and pyrazole derivatives were less effective than it against both seed germination and seedling growth. Screening effects of the tested compounds on root and shoot systems of squash (
Effect of post emergence treatment on wheat seedlings dry weight. Left, 5,6-dichlorobenzotriazole; Right, 3-methyl-1-(2,4-dinitrophenyl)pyrazol-5-one
Concentrations. in µg/ml
Single post-emergence treatment with both 5,6-dichlorobenzotriazole and 3-methyl-1-(2,4-dinitro-phenyl)pyrazol-5-one affected the total soluble sugars contents in a function of concentration and time after treatment (Figure 7). Both reduced and non-reduced sugars alternatively changed regarding the time after treatment. 100
Effect of post emergence treatment on wheat seedlings sugars.Left, 5,6-dichlorobenzotriazole; Right, 3-methyl-1-(2,4-dinitro-phenyl) pyrazol-5-one; Concentrations in
Several prepared organic compounds are tested for their pesticidal actions. Indole derivatives inhibited hyphal growth of several plant pathogenic fungi based on treated fungus and structure affecting sugars, RNA and DNA contents as well as enzymes disturbing cell physiology. They caused lethality, larval weight reduction, inhibition of pupation and adult emergence with inhibiting egg hatchability of
Cystic fibrosis (CF) is an autosomal recessive condition that results from mutations in the cystic fibrosis transmembrane conductor regulator (CFTR) gene located on the long arm of chromosome 7. The gene was identified 30 years ago and since then over 2000 CFTR mutations have been discovered with more than 300 known to be disease causing [1, 2]. The commonest mutation is Phe508del (F508del; c.1521_1523delCTT), where a phenylalanine is substituted at position 508 on chromosome 7. Worldwide approximately 80–90% of individuals with CF have at least one copy of the Phe508del-CFTR mutation, although mutation rates varying depending upon the population cohort [3, 4, 5].
CF is a multi-system disease with the highest disease prevalence being in Europe, North America and Australia. There are approximately 80,000 people with CF worldwide. The disease is characterized by chronic airway infection, pancreatic insufficiency and malnutrition, diabetes, liver disease, absent vas deferens and premature death.
Due to the multi-system nature of the disease, treatment has classically focused on therapies and systems of care that aim to improve salt and fluid balance and nutritional status, alongside reducing airway inflammation and lung parenchymal destruction. These multi-disciplinary management approaches have been instrumental in the improvements seen in life expectancy. The median predicated survival of an individual born today with CF is 47 years, compared with 20 years at the time when CFTR was discovered in 1989 [2]. However, to have a true impact upon the management of these patients and to alter the disease trajectory, treatment options needed to also include approaches targeting the underlying genetic mutation.
This chapter will include a review of the structure of the CFTR protein, its biosynthesis and the pathophysiology of CF so as to provide a basis from which to discuss the various therapeutic strategies that have more recently been developed for modulating CFTR protein function. Also, a discussion regarding gene therapy will be included so as to enable contrasts and comparisons to be made between the different therapies being evolved to address the underlying genetic defect in CF patients.
CFTR codes for a complex protein, which is present in every nucleated cell of the body, however it is normally concentrated on the apical membrane of epithelial cells, primarily within the glandular epithelia. High expression of this apical anion channel is seen within the lungs, pancreas, gastrointestinal tract, vas deferens and sweat glands; reflecting the main organs affected in CF [6].
The CFTR protein is a large, unique member of the subclass C family of the ATP binding cassette (ABC) transporter proteins, which functions as an ion channel rather than an active transporter protein [7, 8, 9]. It consists of two membrane-spanning domains (MBDs) that form the ion channel. These domains are both connected to two cytoplasmic nucleotide-binding domains (NBD1 and NBD2), which function to gate the channel. This conformation of two MBDs and two NBDs that hydrolyse ATP are typical for most ABC transporters. However, CFTR has an additional cytoplasmic regulatory domain (R domain), inserted between NBD1 and MSD2 linking the two transporter domains. Phosphorylation of the R domain by protein kinase A enables channel opening to occur and channel activity is increased upon phosphorylation. Once phosphorylation has taken place, ATP binds to the NBDs resulting in the two NBDs forming tightly interacting dimers, which gates the channel. These movements are transmitted to the MBDs causing the ion pore to open. Channel closure results from ATP hydrolysis. The exact mechanisms underlying the regulation of the R domain and ATP-dependent gating are still not completely understood [10, 11].
CFTR protein synthesis is a complex process, in part related to the size of the functional protein. As with all protein synthesis, transcription of the CFTR DNA takes place within the nucleus to create the messenger RNA (mRNA), which is transported across the nuclear membrane to the cytosolic ribosomes. There the initiation of translation occurs to create a 1480-amino acid polypeptide chain based upon the genetic code. Initially a 135- to 140-kDa core-glycosylated precursor is produced (immature CFTR). CFTR biosynthesis then proceeds through the endoplasmic reticulum (ER) followed by the Golgi apparatus to a mature 150- to 160-kDa CFTR form which has undergone conformational folding [12]. During the secretory pathway through the ER to the Golgi and then on to the cell membrane various post-translational modifications take place (Figure 1).
Cell biology of CFTR - abnormal CFTR protein results in the uncoupling of CFTR dependent processes at all levels from intracellular dynamics to cell membrane function. Reproduced with permission of the © ERS 2020: European Respiratory Journal; DOI:
The maturation process to create the final relatively compact CFTR protein structure is inefficient and slow. Less than 30% of newly synthesized wild-type (wt) immature CFTR molecules develop into mature CFTR proteins. For folding of the polypeptide chain to occur chaperones are required, in particular the 70 k-Da heat shock proteins (HSP70) and calnexin. In cells of individuals with the Phe508del-CFTR mutation, almost all immature molecules fail to reach final maturity and thus are degraded. This is the due to the quality control mechanisms in place within the ER, specific signals and distinct processes exist that recruit misfolded proteins to the ER-associated degradation as a final endpoint. These proteins are then directed for degradation via the ubiquitin-proteasome pathway [12, 13, 14] (Figure 1).
Certain steps within the CFTR biosynthesis pathway are still unknown, however, data does support each domain folding independently. The native structure develops through a co-translational mechanism, possibly together with post-translational processes that take place to create the compactly folded domains. Domain-domain interactions are key in the creation of conformationally correct CFTR [15]. Furthermore, it appears that CFTR is more sensitive to mutations in NBD1 compared with homologous mutations in NBD2, leading to issues with the conformational maturation of the whole CFTR protein. For example, the deletion of the Phe508 does not appear to grossly alter the structure of NBD1 but subsequent issues arise during the maturation process, possibly through the disruption of the interaction between NBD1 and NBD2 and despite each domain folding independently. Maturation thus requires precise folding of each domain together with the correct inter-domain assembly to create a stable structure that will not be submitted to ER-associated degradation [13, 16].
If the protein passes through all the checkpoint steps within the ER, it can exit and be transported through the Golgi apparatus in vesicles where the removal and addition of new glycan units takes place, increasing the molecular size of CFTR. It is becoming clear that some wt-CFTR might bypass these processes in the delivery pathway to the plasma membrane. Once at the membrane, levels of CFTR vary depending upon the balance of anterograde trafficking, endocytosis and recycling. Recycling of internalized CFTR to the plasma membrane is thought to assist with sustaining a functional pool of CFTR at the membrane level [15].
CFTR functions as a chloride and bicarbonate channel. Loss of functional CFTR proteins result in reduced chloride efflux from epithelial cells leading to depletion of the cell surface fluid and altering its pH and osmolarity. CFTR also regulates the activity of various other key processes within the cell, including the activity of other ion channels, such as the sodium epithelial channel (ENaC; the amiloride-sensitive sodium channel). Suppressed CFTR activity can lead to unopposed reabsorption of sodium and water via ENaC, causing additional dehydration of the cell surface layer [6]. Mucociliary clearance is further delayed due to abnormally adherent mucus. Dysfunctional CFTR also impacts upon mitochondrial function, the innate immunity and dysregulates inflammation [17, 18, 19]. Within the airways, this results in an environment that is susceptible to unchecked inflammation and chronic bacterial infection.
Although multiple processes both intra- and extra-cellularly are altered by dysfunctional CFTR proteins, chloride transport at the cell surface is generally considered to be the major driver of the pathophysiological disease. Functional chloride channel changes are thus likely to represent an easily accessible surrogate marker of all processes affected in CF, with sweat chloride testing being relatively easy to perform. In vitro studies have shown that only 6–10% of residual CFTR function is required to restore chloride transporting properties seen in 100% correct cells, with cell-cell coupling providing a means of amplification of the functional properties [20]. Individuals with CF who have approximately 10% CTFR expression per cell do not generally develop lung disease or the full range of classical CF disease. To date, it is unclear whether low level expression (10%) of CFTR in all cells is comparable to 10% of CFTR cells with full correction [21]. In addition, even individuals with a single CFTR mutation may have organ dysfunction in the context of a second “hit” such as smoking [22].
The general identification of mutations in the structure of CFTR has been centralized for clinician reference. CFTR2.org identifies over 2000 variants of the protein, of which over 400 are disease-associated. The majority of variants are rare and not confirmed to be disease-associated, however the large number of variants indicates the lack of stability of the CFTR gene in population dynamics [1].
Classification systems of common CFTR mutations have been developed to assist with understanding of the consequential molecular defect. The established classification system includes six different classes (Figure 2). Different mutations can result in no functional protein production, impaired protein trafficking, altered channel gating, decreased channel conductance, reduced protein synthesis and decreased protein stability [6]. Each class confers a different disease severity, which is related to the degree of CFTR dysfunction and has prognostic implications for patients. However, each mutation may have features of more than just one class. For example, Phe508del is predominately a class II mutation but also has both class III and class VI properties. More recently, other classification systems have been proposed, which subdivide class I mutations (no functional CFTR protein) into two groups so as to take into account whether the mutation leads to no mRNA or no functional protein [23].
CFTR classification table. The classification systems divide mutations into discrete groups determined by the predominant CFTR defect. However, these systems may not be mutually exclusive for all mutations. For example, the p.Phe508del-CFTR is predominately class II but does also have some class III and class VI properties. Reproduced with permission of the © ERS 2020: European Respiratory Journal; DOI:
Traditional CF care has focused upon the management of the systems affected in individuals with CF. However, the identification of the CFTR gene enabled researchers to focus on treatments strategies, which could address the underlying genetic defect. The major cause of morbidity and mortality in CF is secondary to lung disease. Hence, if abnormal CFTR in the lungs could be replaced with wt-CFTR during the neonatal period, prior to parenchymal lung damage or bacterial colonization, morbidity and mortality could be significantly altered within the CF population [24]. Various approaches have been investigated within the field of “genetic medicines” and unfortunately to date none are a viable treatment option outside of clinical trials.
“Genetic medicines” comprise of four different treatment approaches:
The potential benefit of these therapies is that theoretically they should be suitable for the treatment of all individuals with CF, regardless of genotype. Currently gene therapy has made the greatest advancement towards being a clinical treatment and so the main focus of this section will be around gene therapy.
As the respiratory system is so central to CF disease and because initial thoughts were that gene therapy targeting the lungs would be easy to deliver, locally directed gene therapy to the respiratory epithelium was the method of choice. Furthermore, gene therapy can complement any CFTR causing mutation. However, for such treatment to be successful various issues had to be addressed, including the choice of delivery vector, method of delivery to the airways, translocation of the genetic information and ultimately ensuring that there was appropriate expression of the normalized CFTR gene [25]. These various issues will each be discussed to provide insight in the difficulties experienced in trying to develop “genetic medicines.”
The lungs are comprised of terminally differentiated epithelial cells, which are slowly replaced by stem/progenitor cells. Any form of gene therapy must be able to be either repeatedly delivered to the terminally-differentiated cell surface or be able to alter the stem/progenitor cells within the lungs. However, the lung has evolved physical and immune mechanisms to protect against pathogens and particulate materials, which impacts upon choice of vector delivery [26, 27].
Delivery vectors are largely either viral or non-viral in nature with viral ones felt to be more efficient. This is because they have evolved to overcome the barrier mechanisms present within the lungs. Adenoviruses (Ad) and adeno-associated viruses (AAV) have a natural trophism for the lungs, are DNA-based and thus were the initial choices to study. Adenoviruses are small in size and thus to insert the CFTR DNA correctly within the adenoviral genome, viral DNA must be removed, impacting upon the viral cytopathic effect. These vectors were found to have poor efficacy due to the pre-existing and induced immune responses, and thus cannot be repeatedly administered as required for these treatments because of the short life span of bronchial epithelial cells.
Other viral vectors that have been investigated are recombinant lentivirus (rLV). These agents are RNA-based and can integrate into the genome. This can be advantageous as it ensures that the vector is passed down the cell lines during division but it also does have the risk of inducing insertional mutagenesis [21, 26, 28]. However, ultimately other vectors were needed to be formulated, ones which had a minimal risk of immunogenicity and thus could be repeatedly administered.
Non-viral gene transfer agents complexed to plasmid DNA were therefore developed [21, 29]. These have been more successful than their viral vector counterparts and have been investigated in Phase IIb studies. Patients who were 12 years and older were treated with the non-viral CFTR gene-liposomal complex pGM169/GLG7A as a nebulized therapy over a one-year period. The repeated nebulization each month resulted in a reduction in the progression of CF lung disease by a modest amount when compared with placebo. The percentage change in the forced expiratory volume in 1 second (FEV1) over 12 months was −0.4% versus −4.0% in the placebo arm. Hence, although no improvement in lung function was seen, this study was promising as rate of lung function decline does impact morbidity and mortality in CF. However, disappointingly also there were no improvements in quality of life measures [30].
As described in the above study the agents utilized were delivered via inhalation methods. This has been found to be the easiest method for repeated treatment applications. However, difficulties have arisen ensuring adequate lung deposition of drug, related to particle size and the type of nebulisers used. Additionally, any aerolised drug delivered must retain its biological function post-delivery [31, 32].
Other strategies for ensuring corrected CFTR protein production is through mRNA therapy and mRNA repair as described above. The benefit of these approaches is that they do not require translocation of the therapy across the nuclear membrane. Nanoparticle-chemically modified mRNA has resulted in lung function improvements in animal models without any immune reactions despite repeated applications. Also, there is evidence that these therapies can restore chloride channel activity [33, 34]. Ongoing work and investigation are required prior to these options being viable in the clinical setting.
CFTR modulator agents are small molecules which ‘modulate’ the function of the abnormal CFTR protein. Unlike gene therapy, they do not alter the CFTR gene. However, these agents do manipulate the underlying genetic consequence of CF mutations. Currently two different classes of modulator agents have been developed;
potentiators which ‘potentiate’ the cAMP-mediated gating of the CFTR channel; and
correctors which ‘correct’ defects in protein trafficking.
High-throughput drug discovery programs enabled the development of such agents. These discovery programs were established to identify active compounds (“hits”) from large chemical libraries suitable for industrial-scale screening. High-throughput screening (HTS) assays need to be robust, have high throughput using small sample volumes together with adequate sensitivity, reproducibility and accuracy to ensure differentiation between a very large amount of compounds [35]. Ion channels are key targets for drug design and thus HTS have been an important part of such drug discovery processes, including for CF [36, 37].
The two classes of small molecules for CFTR protein modulation were identified via HTS techniques from libraries that consisted of chemically diverse drug-like and lead-like compounds acquired from both commercial vendors and internal medicine chemistry programs. If compounds had an activity >2.5 standard deviations (SD) from the mean, then they received further testing. For example, from ~164,000 synthetic compounds initial screened, approximately 100 were suitable for further study in one study [38]. The molecules identified were optimized and evaluated in terms of pharmacokinetics and toxicology [39, 40].
The first small molecule clinically available for individuals with CF following HTS was Ivacaftor (Kalydeco®). It is an oral CFTR potentiator agent, which can be given to CF individuals who have gating, residual function, splice or conduction mutations [41, 42, 43, 44]. It was originally developed for the Gly551Asp-CFTR mutation (G551D; a class III mutation), which results in defective cAMP CFTR channel gating. The gating of the channel reflects the opening and closed states of the CFTR protein. If gating is defective, then a low probability of CFTR channel opening occurs and in turn reduced overall CFTR function. Ivacaftor treatment results in increased chloride transportation across the cell membrane by improving channel gating and thus the time that activated CFTR channels remain open.
The initial phase 3 studies in individuals aged 12 years and older (STRIVE) and those aged between 6 and 12 years of age (ENVISION) evaluated ivacaftor or placebo in patients with at least one Gly551Asp-CFTR mutation. STRIVE identified a significant improvement in percentage predicted (pp) FEV1 in the treatment arm of 10% at 24 weeks (primary endpoint) that was maintained at 48 weeks. This was together with a 3 kg weight gain, an 8-point increase in the Cystic Fibrosis Questionnaire Revised (CFQ-R) score (an increase in the score out of 100 reflects an improvement in quality of life with a 4-point change being clinically relevant) alongside a reduction in sweat chloride to below the definite diagnostic threshold for CF to a mean of 47.8 mmmol/l [41]. Similar results were demonstrated in children in ENVISION [45]. Participants from both of these studies were then enrolled into the open-labeled extension study (PERSIST) where all individuals received ivacaftor therapy. These individuals maintained the improvements in lung function, weight and exacerbation rates at 144 weeks [46].
Such exceptional clinical outcomes were a major advancement in the treatment options for individuals with CF. However, initially modulator therapy was only suitable for approximately 5% of CF individuals as it was only available for gated mutations. Agents that could alter abnormal protein trafficking together with CFTR channel gating and cell membrane surface stability that results from the Phe508del-CFTR mutation (class II mutation) would have a far greater impact upon the CF community. As multiple stages in the CFTR conformational maturation process are affected with the Phe508del-CFTR mutation, different treatment approaches were needed.
HTS therefore progressed to evaluating agents that would be suitable for other mutation classes, focusing on agents could have an impact on dysfunctional protein trafficking [38]. Lumacaftor is an oral corrector agent, which in vitro studies have demonstrated can corrects protein misfolding [47]. However, monotherapy with either ivacaftor or lumacaftor did not lead to clinically relevant improvements in individuals homozygous for the p.Phe508del-CFTR mutation [48, 49].
As monotherapy only lead to minimal clinically relevant outcomes for Phe508del-homozygotes, the argument strengthened for the use of lumacaftor in combination with ivacaftor. Hence, these two therapies were trialed in combination (Orkambi®). Phase 3 multicentre studies (TRAFFIC and TRANSPORT) of this combination versus placebo elicited a modest gain in absolute pp. FEV1 of 3% at 24 weeks (primary endpoint) together with significant increases in body mass index (BMI) [50]. The lung function increase being comparatively small to that seen with ivacaftor for gated mutation. However, importantly the 96-week open label extension study (PROGRESS), where all individuals within the initial trials received lumacaftor in combination with ivacaftor, did demonstrate a 42% reduction in the annual rate of lung function decline when compared with matched US registry controls [51]. As rate of lung function decline is known to correlate with morbidity and mortality, this is still a significant outcome [52, 53].
Although lumacaftor in combination with ivacaftor is associated with stabilization of lung disease together with weight improvement, patients can experience various side-effects. Respiratory related adverse events were the commonest complications in the trials and up to 7% of patients discontinued treatment in PROGRESS. In real-world experiences, there have been even higher discontinuation rates of up to 30% [54, 55]. Also, lumacaftor is a potent inducer of the CYP3A4 enzymes and can have interactions with various concurrent medications. Development of other corrector agents with an improved side-effect profile and the potential for enhanced correction of the protein trafficking were therefore required.
This led to the development of tezacaftor, another small molecule corrector agent. Tezacaftor in combination with ivacaftor (Symdeko®/Symveki®), for individuals homozygous for the Phe508del-CFTR mutation, when compared with placebo resulted in a 4% absolute improvement in ppFEV1, together with a five-point improvement in CFQ-R scores but without any significant change in BMI (EVOLVE). Although the increments in lung function were still not as substantial as that seen in ivacaftor use for gating mutations, the adverse events were much lower than with lumacaftor/ivacaftor treatment. The discontinuation rate in the active treatment arm was only 2.9% and none of these were due to respiratory events [56, 57]. It thus appears that the corrector lumacaftor has a poorer side-effect profile than tezacaftor, rather than it being a complete class effect. Tezacaftor/ivacaftor can also be given to patients who have certain residual function and splice mutations (
The combination corrector therapies described, enable individuals with the commonest CF mutation the potential of receiving modulator therapy. However, lumacaftor/ivacaftor and tezacaftor/ivacaftor do not fully restore CFTR protein function. Furthermore, there is still no small molecule therapy for 30% of the individuals with CF who are heterozygotes for Phe508del and have a minimal function (MF) mutation. MF mutations give rise to either the production of defective proteins or no protein production. They include insertion, deletion, nonsense and canonical splice mutations. As up to 90% of CF individuals have one Phe508del mutation, if small molecule therapy could significantly increase the amount of functional protein for this mutation, a greater range of CF individuals could be treated as then the therapy would be suitable for those individuals with the Phe508del-MF mutations.
Next generation CFTR correctors are under evaluation in combination with tezacaftor/ivacaftor. Phase 2 and 3 trials of these triple therapy agents; VX-659 and VX-445 have provided further exciting results. These corrector agents have a different structure and mechanism of action and provide additive function to the other two agents. For individuals homozygous for Phe508del an increase in absolute ppFEV1 was 9.7% for VX-659 treatment and 11% for VX-445 therapy. Greater increases in lung function were seen for patients with Phe508del-MF mutations; the absolute change in ppFEV1 was 13.3 and 13.8% for VX-659 and VX-445 respectively. These increases were also alongside significant improvements in quality of life and have been maintained in subsequent phase 3 interim report analyses [59, 60, 61, 62]. These are incredible outcomes for individuals with more severe mutations and thus who typically have more severe disease phenotypes.
Important advances in the clinical outcomes for individuals with CF have been possible since the introduction of modulator therapy. Unfortunately these treatments are currently associated with a substantial cost and as a result are not available for all eligible patients. In the United States the Food and Drug Administration (FDA) has approved all four of the currently available modulator therapies. Some European countries and Australia, have access to ivacaftor, lumacaftor/ivacaftor and tezacaftor/ivacaftor [63]. However, worldwide there is significant inequality of access to these agents.
As an increasing number of modulator agents become available, the CF community will need to determine how they can enable patients to receive these expensive therapies. If funding bodies are going to approve them, it is likely that they will require significant clinical outcomes from their use, especially when funding is through a public system.
The introduction of modulator therapy, particularly when its use becomes widespread, is likely to have an impact upon the range of CF phenotypes. The amount of phenotypic variations should decrease as fewer patients have significant CFTR channel dysfunctional, and it is likely that the disease manifestations will be less severe. It is well known that respiratory related CF disease is associated with less than 10% CFTR channel function and so there is the potential for modulator therapy to have an impact upon this [21]. However, measurements of the degree of change in CFTR channel functionally with the use of modulator therapy is not being undertaken in the clinical setting. The markers being assessed are all surrogate markers of CFTR channel function and include lung function, sweat chloride, weight and quality of life questionnaires. Hence, it will be interesting to see the long-term impact of significant CFTR modulation on the CF cohort when individuals have been on such treatment for many years from birth. Currently a significant improvement is felt to be an increase in ppFEV1 greater than 10%. Time will tell as to whether such changes have a significant impact upon this long-term multi-system disease.
The advancements in CF care over the last decade have been remarkable. The use of HTS drug discovery programs have been instrumental in enabling the development of the CFTR modulator agents, first the potentiators and subsequently the corrector agents. The fact that such therapies target the underlying consequence of the CFTR mutation has led to exciting clinical outcomes for individuals with certain CFTR mutations because altering the function of the CFTR protein at the molecular level is essential for true disease change to occur. “Genetic medicines” require a significant improvement in their clinical outcomes before they can become a viable option to modulator therapy. They do however have the advantage that they are not specific for individual mutation classes and could be used as treatment for all patients.
The introduction of newer targeted therapies is transforming CF care, although it remains to be seen how these treatments will impact the CF community in the longer term. Nevertheless, a shift is starting to occur whereby treatments are determined based upon an individual’s genetic mutations. It is likely that this will lead to a more personalized model of care and it is hoped a step closer to a cure for this life-limiting disease.
CR – no conflict of interest. TK – Clinical Trial Support and Consultancy fees for Vertex Pharmaceuticals, Inc. JW – Clinical Trial Support and Consultancy fees for Vertex Pharmaceuticals, Inc.
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Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}}]}},subseries:{item:{id:"10",type:"subseries",title:"Animal Physiology",keywords:"Physiology, Comparative, Evolution, Biomolecules, Organ, Homeostasis, Anatomy, Pathology, Medical, Cell Division, Cell Signaling, Cell Growth, Cell Metabolism, Endocrine, Neuroscience, Cardiovascular, Development, Aging, Development",scope:"Physiology, the scientific study of functions and mechanisms of living systems, is an essential area of research in its own right, but also in relation to medicine and health sciences. The scope of this topic will range from molecular, biochemical, cellular, and physiological processes in all animal species. Work pertaining to the whole organism, organ systems, individual organs and tissues, cells, and biomolecules will be included. Medical, animal, cell, and comparative physiology and allied fields such as anatomy, histology, and pathology with physiology links will be covered in this topic. Physiology research may be linked to development, aging, environment, regular and pathological processes, adaptation and evolution, exercise, or several other factors affecting, or involved with, animal physiology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/10.jpg",hasOnlineFirst:!1,hasPublishedBooks:!1,annualVolume:11406,editor:{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. 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