Primer sequences used in PCR for AGTR1 and ACE2.
\r\n\tAn important component of this book must be dedicated to the more recent treatments namely with biologic therapies but focusing also on new small molecule inhibitors and experimental therapies.
",isbn:"978-1-80356-264-3",printIsbn:"978-1-80356-263-6",pdfIsbn:"978-1-80356-265-0",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,hash:"949e69c6b2120eab3174d0a7e6b1c655",bookSignature:"Dr. Sulaiman Wadi Harun",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11495.jpg",keywords:"Mode-Locking, Ultrafast Lasers, Fiber Lasers, Chirped Pulse Amplification, Charged Particles Acceleration, Nonlinear Process, Soliton, Supercontinuum Generation, Ultrafast Nonlinear Pulses, Laser Material Processing, 3-D Micromachining, Quantum Optics",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 10th 2022",dateEndSecondStepPublish:"April 13th 2022",dateEndThirdStepPublish:"June 12th 2022",dateEndFourthStepPublish:"August 31st 2022",dateEndFifthStepPublish:"October 30th 2022",remainingDaysToSecondStep:"a month",secondStepPassed:!0,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"A prominent Malaysian Professor in Photonics, appointed Fellow of Malaysian Academic of Science, founder and honorary advisor for the Optical Society of Malaysia.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"14201",title:"Dr.",name:"Sulaiman Wadi",middleName:null,surname:"Harun",slug:"sulaiman-wadi-harun",fullName:"Sulaiman Wadi Harun",profilePictureURL:"https://mts.intechopen.com/storage/users/14201/images/system/14201.png",biography:"Sulaiman Wadi Harun received his bachelor’s degree in Electrical and Electronics System Engineering from Nagaoka University of Technology, Japan, in 1996, and his master’s and doctoral degrees in Photonics Technology from the University of Malaya in 2001 and 2004, respectively. He has more than 20 years of research experience in the development of optical fiber devices including fiber amplifiers, fiber lasers, and fiber optic sensors. Professor Harun has published more than 900 articles in reputable ISI journals, and his papers have been cited more than 8000 times with an h-index of more than 40, showing the impact on the community. 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From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"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:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.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"}}]},chapter:{item:{type:"chapter",id:"61250",title:"Gene Polymorphisms Associated with Atrial Fibrillation",doi:"10.5772/intechopen.76920",slug:"gene-polymorphisms-associated-with-atrial-fibrillation",body:'\nAF, which has a significant morbidity and mortality rate, is a multifactorial disorder as one of the most common cardiac arrhythmias [1, 2]. This cardiac arrhythmia affects 1–2% of the general population. AF is an increasingly prevalent dysrhythmia and is associated with many cardiac risk factors. Disorders such as hypertensive, ischemic or structural heart diseases are important risk factors for AF [3].
\nThe underlying mechanisms in the development of AF are still not fully understood, but a heterogeneous model plays an important role in the pathophysiology of this disease. This heterogeneous model is based on the interaction of multiple substrates and triggers [3].
\nThere are many studies showing that genetic factors play an important role in the pathogenesis of AF. Monogenic mutations known to be associated with AF have been identified. A total of 25 gene mutations proven to be associated with AF have been identified. Genome-wide association studies (GWAS) have been conducted to investigate AF genetics, and these studies have shown that single nucleotide polymorphisms play a very important role in the development of AF. Several single nucleotide polymorphisms associated with AF predisposition have been identified in these GWAS studies [3].
\nAF is an electrical disease caused by defects in ionic currents, and a variety of studies have been undertaken to determine the genetic causes of these electrical illnesses. Studies conducted to investigate the hereditary predisposition of AF found that the development of AF in pups with AF detected in their parents was found. Even though disorders such as hypertension, myocardial infarction and diabetes mellitus, which are important risk factors for the development of AF, are regulated, they still have the risk of developing fourfold AF [3].
\nIn many genetic studies, variants known to be associated with AF have emerged. These variants are formed as a result of abnormalities in genes encoding cardiac gap junctions, signaling molecules, ion channels and auxiliary subunits. In addition, gene polymorphisms may cause loss of function in genes that encode proteins contributing to cardiac depolarization or repolarization leading to AF’s increased sensitivity, are also genetic risk factors that play an important role in the development of AF [3].
\nThe purpose of this chapter is to give general information about AF and compiling the studies made with the aim of determining the gene polymorphisms that can play an important role in the development of AF.
\nThe renin angiotensin aldosterone system (RAAS) plays an important role in the regulation of humoral regulation. RAAS, which is also important in the regulation of blood pressure, cardiovascular homeostasis, fluid and electrolyte balance such as hypertension, heart failure and arrhythmia, plays an important role in the pathophysiology of various cardiovascular diseases. Renin, an acid protease synthesized by renal juxtaglomerular cells, is involved in circulation through the renal vein. A decrease in renal blood flow or a decrease in plasma sodium levels leads to an increase in renin secretion. Renin plays a key role in the production of angiotensin I in plasma or tissues. It is provided that renin is converted to angiotensin II by angiotensin-converting enzyme (ACE). Angiotensinogen (AGT), the original subtype of renin, is an important source of angiotensin II. Angiotensin II functions by binding to the angiotensin II receptor on fibroblasts. Angiotensin II plays an important role in enhancing the synthesis and secretion of collagen types I and III in the regulation of proliferation of fibroblasts. Angiotensin II induces aldosterone release, resulting in myocyte necrosis and susceptible fibrosis. RAAS is functioning via angiotensin II. Angiotensin II is involved in the elevation of blood pressure in the systemic arterial and venous systems and in the increase of blood return to the heart. It increases the central sympathetic activity by increasing the oscillation from the sympathetic nerve endings. Thus, synthesis and release of aldosterone is regulated. RAAS, which plays a role in atrial remodeling and pathogenesis of AF, is an important regulator. There are not many studies aiming to investigate the relationship between RAAS gene polymorphisms and the risk of developing AF. In a study conducted by Tsai et al., it was determined that the polymorphisms occurring in RAAS genes increased the susceptibility to AF development as a result of association with environmental factors leading to elevated atrial pressures. RAAS gene polymorphisms include ACE insertion/deletion (I/D), AGT (G-217A, A-20C, G-7A, M235T and T174M) and ATR1 A1166C gene polymorphisms. In a study aiming to investigate the association of these polymorphisms with AF, in exon 2 of the AGT gene, the M235 allele, a significant relationship was found between haploids associated with the G-6 and G-217 alleles in the promoter region and AF development risk [4, 5].
\nThe 21-kilobase pair (kbp) long ACE gene locates on chromosome 17q23. This gene consists of 26 exons and 25 introns. The ACE (I/D) gene polymorphism is characterized by I/D of 287 base pairs in the 16th intron of the ACE gene. The genotypes of ACE (I/D) gene polymorphism differ in terms of ACE plasma and tissue levels. The DD genotype of the ACE (I/D) gene polymorphism is associated with high cellular ACE activity, which leads to myocardial fibrosis, so myocardial fibrosis develops. There are studies showing that ACE (I/D) gene polymorphism is associated with the risk of developing AF. There is a positive relationship between DD genotype and ACE activity of ACE (I/D) gene polymorphism. As a result of this relationship, angiotensin II level increases and myocardial hypertrophy, arrhythmia can develop. In the study carried out by Zhang and colleagues found a significant association between DD genotype of the ACE (I/D) gene polymorphism and increased AF. In another study conducted by Topal et al., a significant relationship was found between the incidence of ACE Alu D and increased AF [2].
\nOne of the ACE gene polymorphisms from the AF associated genes is the ACE 2350G/A (rs4343) polymorphism, and this polymorphism has a significant effect on the plasma ACE concentration. The ACE 2350G/A (rs4343) gene polymorphism is a synonymous mutation that is accepted as silent. There is insufficient study to investigate the relationship between ACE 2350G/A (rs4343) gene polymorphism and the risk of developing AF. In a study conducted by Jiang et al. in a Chinese population, the A allele of ACE 2350G/A (rs4343) gene polymorphism has been associated with the risk of developing AF in patients with essential hypertension. ACE 2350G/A (rs4343) polymorphic locus do not effect expression directly of ACE mRNA or it has not functional variant. It is assumed that there may be link imbalance between this fragment and an unknown DNA fragment acting as a muffler. In order to be able to identify gene loci in this linkage disequilibrium, a large number of studies have to be performed [1].
\nRAAS, which plays an important role in the pathophysiology of AF in the structural and electrical remodeling of the atrium, contains ACE/angiotensin II/AGTR1 and ACE2/angiotensin (1–7)/ MAS axes. These axes regulate myocardial hypertrophy, fibrosis and remodeling. ACE/angiotensin II/AGTR1 and ACE2/angiotensin (1–7)/MAS axes have been found to play an important role in AF pathogenesis. Angiotensin II is the most vasoactive component of RAAS, and angiotensin II, which causes increased myocardial fibrosis and hypertrophy, may contribute to AF development. Angiotensin II, an important signaling molecule of RAAS, plays a role in cardiovascular effects via AGTR1. AGTR1, G-protein is a bound receptor and has been associated with some disorders such as heart failure, prehypertension and stroke. There are studies showing that in AF patients AGTR1 levels increase in the left atrium. In a study conducted with Chinese Han population, the roles of AGTR1 rs1492100, rs1492099, rs1492097 and rs3772616 gene polymorphisms in AF development were investigated. A significant correlation was found between rs1492099 gene polymorphism from these polymorphisms and the development of structural AF. The ACE2 gene shows the X chromosome. In a study conducted by Freg et al., ACE2 expression was found to be significantly reduced in patients with chronic AF. In contrast, it is observed that atrial tissue angiotensin II levels were also significantly elevated. In another study with Chinese Han population, the effects of AGTR1 and ACE2 gene polymorphisms development of structural AF were examined. It is thought that polymorphisms occurred in this gene may be genetic risk factors in the development of structural AF in the Chinese Han male population. Also, it has been shown that ACE2 and AGTR1 genes are associated in patients with structural AF [6].
\nAldosterone synthase (CYP112B2) is an enzyme that plays an important role in the synthesis of aldosterone. CYP112B2 is the mitochondrial P450 oxidase found in the adrenal cortex of the zona glomerulosa. Aldosterone plays an important role in regulation of ion motions and collagen expression, including myocardial remodeling. Delayed or reversed myocardial remodeling is achieved by the aldosterone inhibitor, thus can prevent AF. In a study by Goette et al., there was a positive relationship between elevation of AF and aldosterone levels. The CYP112B2 gene is 7 kilobases long and locates on chromosome 8q22. This gene consists of 9 exons and 8 introns. The CYP112B2-344 C/T gene polymorphism is characterized by a C/T substitution in the −344 position in the promoter region of the CYP112B2 gene. Several studies have been conducted to investigate the relationship between CYP112B2-344 C/T gene polymorphism and hypertension. In some studies, CYP112B2-344 C/T gene polymorphism has been identified as a genetic risk factor for hypertension and myocardial hypertrophy. However, a limited number of studies have been conducted to investigate the relationship between CYP112B2-344 C/T gene polymorphism and AF. In a study conducted by Lu et al., no significant relationship was found between CYP112B2-344 C/T gene polymorphism and AF development risk. In the study conducted by Shuxin Hou et al., there were no significant differences in CYP112B2-344 C/T gene polymorphism genotype distributions between AF patients and healthy control groups. The CYP112B2-344 C/T gene polymorphism has been found to be associated with an increase in C allele binding to steroidogenic transcription factor 1 and thus an increase in CYP112B2 activity. In a study conducted by Amir et al., CYP112B2-344 C/T gene polymorphism CC genotype was found to be an independent risk factor for AF in patients with heart failure. In a study in China Han population, conducted by Huang et al., found that CYP112B2-344 C/T gene polymorphism is not a genetic risk factor in the development of AF in patients with hypertensive heart disease. In a study performed by Zhang et al., the significant relationship is not also found between CYP112B2-344 C/T gene polymorphism and AF development [2]. It is presented primer sequences that used to determine AGTR1, ACE2, AGT, ACE (I/D) and CYP112B2-344C/T gene polymorphisms in Tables 1 and 2.
\nAGTR1 and ACE2 | \nForward primer 5′-3′ | \nReverse primer 3′–5′ | \n
---|---|---|
rs1492100 | \nTTCAATAACAGATTCCCAGAG | \nCCACCTCAACTTGCCTGTG | \n
rs1492099 | \nTTCAATAACAGATTCCCAGAG | \nCCACCTCAACTTGCCTGTG | \n
rs1492097 | \nTTCAATAACAGATTCCCAGAG | \nCCACCTCAACTTGCCTGTG | \n
rs3772616 | \nTGATAATTTATGTACTCCCTC | \nCAAAGCATAAGTGTCAACAGA | \n
rs6632677 | \nCTGACTTGTTGCAGCAAGATGC | \nTAGGAGTCCAGGCACAGTTCAG | \n
Primer sequences used in PCR for AGTR1 and ACE2.
PCR, polymerase chain reaction; SNP, single nucleotide polymorphism; AGTR1, angiotensin II receptor 1; ACE2, angiotensin-converting enzyme 2; Amp, amplification.
GENES amp. size (bp) | \nPrimer | \nPrimer sequences | \n
---|---|---|
AGT M235T 163 bp | \nForward | \n5′-CGTTTGTGCAGGGCCTGGCTCTC-3′ | \n
Reverse | \n5′-AGGGTGCTGTCCACACTGGACCC-3′ | \n|
ACE AluI/D 490 bp | \nForward | \n5′-CTGGAGACCACTCCCATCCTTTCT-3′ | \n
Reverse | \n5′-GATGTGGCCATCACATTCGTCAGAT-3′ | \n|
CYP112B2-344C/T 537 bp | \nForward | \n5′-CAGGAGGAGACCCCATGTGAC-3′ | \n
Reverse | \n5′-CCTCCACCCTGTTCAGCC-3′ | \n
Primer sequences used in PCR and amplification product size for AGT, ACE (I/D) and CYP112B2-344C/T.
PCR, polymerase chain reaction; AGT, angiotensinogen; ACE (I/D), angiotensin-converting enzyme (insertion/deletion); CYP112B2, aldosterone synthase; Amp, amplification.
The major products of cellular metabolism are reactive oxygen species (ROS) and reactive nitrogen products (RNS) and they have sources in the myocardium. Redox homeostasis is disturbed when oxidant species overcome the capacity to reduce of the cell. While excessive ROS results in oxidative stress; excessive RNS results in nitrosative stress. Potentially reactive species such as the mitochondrial electron transport chain, xanthine oxidase, NADPH oxidases and nitric oxide synthases (NOS) are present in the myocardium. There are three NOS isoforms: NOS1 (neuronal NOS = nNOS), NOS2 (inducible NOS = iNOS) and NOS3 (endothelial NOS = eNOS). These isoforms are named according to the first description of the tissues. It is known that enzymes that occur in NOS1 and NOS3 are expressed in the heart. NOS2 is expressed in inflammatory and pathological conditions such as hypertrophy or heart failure. While in cardiac myocytes, NOS1 and NOS3 were present in intracellular compartments, NOS2 is present in the cytosol of cardiac myocytes. NOS plays an important role in stimulating effects of NO on guanylate cyclase, or in arising and mediating effects of nitrosation of tyrosine, cysteine residues. NO, which a highly reactive radical, is spreadable and its life is very short. l-arginine is converted to citrulline by NO production and is a substrate for NOS. NOS2 is expressed in macrophages, neutrophils, endothelial cells, vascular smooth muscle cells and cardiomyocytes. The competitive inhibition of endogenous methylarginine regulates the substrate level in NOS isoforms. Oxidative stress plays an important role in AF pathogenesis. NOS enzymes can be decomposed and transferred from NO production to superoxide anion, strong free radicals and oxidation. Therefore, NOSs that are associated with oxidative stress are important in AF pathogenesis. In the case development of AF, left atrial endocardial NOS reduction occurs. Thus, a significant reduction in NO production occurs. Clinical cohorts were performed to investigate the relationship between AF development and eNOS gene polymorphisms. In a study with a Caucasian population that developed AF, it was determined that eNOS T-786C, G894T and 4a/4b gene polymorphisms did not have genetic risk factors in the development of AF. In another study, while CC genotype of eNOS T-786C polymorphism was found to be a genetic risk factor for homocysteine concentrations, there was no significant relationship between this polymorphism and the risk of developing AF. In another study conducted with heart failure and AF patients, 894TT genotype of G894T gene polymorphism was determined as a genetic risk factor in development of AF. In a study conducted by Giusti et al., eNOS T-786C gene polymorphism was found to be associated with a decrease in eNOS gene promoter activity. Furthermore, in the same study, this polymorphism was found to be an independent risk factor for plasma homocysteine concentrations [7–9]. It is presented primer sequences that used to determine eNOS T-786, G894T, Intron 4a/4b gene polymorphisms in Table 3.
\nGenes amp. size (bp) | \nPrimer | \nPrimer sequences | \n
---|---|---|
eNOS T-786 180 bp | \nSense | \n5′-TGGAGAGTGCTGGTGTACCCCA-3′ | \n
Antisense | \n5′-GCCTCCACCCCACCCTGTC-3′ | \n|
eNOS G894T 200 bp | \nSense | \n5′-AACCCCCTCTGGCCCACTCCC-3′ | \n
Antisense | \n5′-TCCATCCCACCCAGTCAA-3′ | \n|
Intron 4a/4b 393 (4a) 420 (4b) | \nSense | \n5′-AGGCCCTATGGTAGTGCCTTT-3′ | \n
Antisense | \n5′-TCTCTTAGTGCTGTGGTCAC-3′ | \n
Sequence of primers, size of the PCR products eNOS T-786C, G894T, Intron 4a/4b gene polymorphisms.
PCR, polymerase chain reaction; eNOS, endothelial nitric oxide synthase; Amp, amplification.
AF is an important complication of hypertrophic cardiomyopathy and is observed in approximately 20% of patients with hypertrophic cardiomyopathy. Hemodynamic changes following sympathetic or parasympathetic activation play an important role in AF triggering. In a study conducted by Thomson et al., hypertension was reported to induce triggering in developing of AF in patients with hypertrophic cardiomyopathy. Since myocardial hypertrophy is present in patients with hypertrophic cardiomyopathy, the left ventricular space is small in these patients. Thus, a decrease occurs in venous conversion and intravascular volume. As a result of this, in the patients with hypertrophic cardiomyopathy, low heart debit and various symptoms arise. Cheung et al. suggested that AF could be induced in the study they performed. Endothelin 2, which constricts the systemic vessels, protects venous return and prevents hypertension that may develop. Acute hypertension causes an increase in sympathetic nerve activity. Hypertension can occur in hypertrophic cardiomyopathy. A vasoconstrictor may show protective effect against AF in hypertrophic cardiomyopathy. Proximal AF is more common in hypertrophic cardiomyopathy than in other structural heart diseases. This monogenic disorder is a disorder affecting left ventricular hypertrophy in patients with hypertrophic cardiomyopathy. These disorders result from mutations in genes encoding the sarcomeric proteins. In a study conducted by Sharma et al., it has been shown that the endothelin 2 gene may be effective in the development of hypertension, and that this gene is expressed to in human atrial tissue. Endothelin 2 gene is localized on chromosome 1p34. It has been suggested that there is a significant relationship between hemodynamic changes and polymorphisms occurring in endothelin 2 gene in patients with essential hypertension. The functional role of endothelin 2 A985G gene polymorphism is not known precisely. mRNA stability is affected by variations in 3′-UTR. Thus, endothelin 2 transcription and translation may be affected in the endothelin 2 A985G gene polymorphism. Differences in A985 allele frequencies are observed in studies with different populations. Endothelin 2 A985G gene polymorphism plays a protective role for A985 allelic cardiovascular diseases, but this allele may trigger AF development in hypertrophic cardiomyopathic patients. In a study conducted by Nagai T et al., The endothelin 2 A985T allele has been shown to be a genetic risk factor for the development of AF in hypertrophic cardiomyopathic patients [10]. It is presented primer sequences that used to determine Endothelin 2 A985G gene polymorphism in Table 4.
\nGenes | \nPrimer | \nPrimer sequences | \n
---|---|---|
Endothelin 2 A985G gene | \nForward | \n5′-ACAAACCAGGAGCAACCGTG-3′ | \n
Reverse | \n5′-AGGGAATGAGGGTGCAAGAA-3′ | \n|
G allele-specific probe | \n5′-VIC-CCCTGGAGACTGGA-MGB-3′ | \n|
A allele-specific probe | \n5′-FAM-CCGGAGGCTGGAT-MGB-3′ | \n
Sequence of primers for endothelin 2 A985G gene polymorphism.
PCR, polymerase chain reaction.
AF can also occur when there is or no structural heart disease. Most of the foci that cause AF are at the site where combine the cardiomyocytes and vascular smooth muscle cells are located near the pulmonary venules. Connexins (Cx) are gap junction proteins and play an important role in direct cell-cell interactions in the majority of the tissues of the body in electrical conduction in the heart. It is known that there are 20 different Cxs in humans, and each Cxs create channels with different characteristics and specific expression patterns. The polymorphisms occur in gap junction channels and in Cx proteins that play a role in action potential spread. Variants that occur in genes encoding variants that occur in genes encoding Cx40 and Cx37 that contribute to pulmonary vein-arrhythmogenic affect gene expression and function. Cx40 and Cx37 that contribute to pulmonary vein-arrhythmogenic affect gene expression and function. Variants that occur in genes encoding Cx40 and Cx37 that contribute to pulmonary vein-arrhythmia affect gene expression and function. The Cx40 gene is encoded by GJA5 and is expressed in endothelial cells, coronary vascular smooth muscle cells, atrial cardiomyocytes and cardiac conduction systems. In GJA5, the TATA box sequence also changes is the result of the single nucleotide polymorphism found in the promoter region. Cx40 gene modulates broad mRNA levels and is known to be associated with AF. In a previous study, Cx40-26G>A gene polymorphism-26G allele was identified as a genetic risk factor in patients with cardiomyopathy AF. In a study performed by Carballo et al., Cx40-26G>A gene polymorphism was found to affect protein expression levels in cardiomyocytes and this polymorphism was associated with structural AF. There are significant relationships between polymorphisms occurring in GJA5 in the Cx40 gene and susceptibility to AF. Somatic mutations in the Cx40 gene have also been associated with idiopathic AF. The Cx43 gene is also encoded by GJA1 and is expressed by ventricular, atrial cardiomyocytes, vascular smooth muscle cells, endothelial cells, monocytes and macrophages. Other genes and polymorphisms associated with polymorphisms in the CX43 gene have also been reported to be effective in the development of AF. The Cx37 gene is encoded by GJA4 and is found in endothelial cells, pulmonary and vascular smooth muscle cells, monocytes/macrophages and platelets. Polymorphisms occurring in GJA4 in the Cx37 gene are associated with atherosclerosis and coronary heart disease, and these polymorphisms have an effect on monocyte adhesion. Thus, they are important in the regulation of local inflammation. Systemic and local inflammation may play a role in the development of AF before or after surgery in some cases. The 1019 C>T gene polymorphism in the CX37 gene in GJA4 is characterized by proline/serine (P319S) substitution at position 319 in the cytoplasmic tail of the Cx37 gene. As a result, channel conductivity and permeability change. Cx37 1019 C>T gene polymorphism is also associated with platelet aggregation or monocyte adhesion. Due to the effect of this polymorphism on monocyte adhesion, sensitivity to non-structural AF may change [11–13]. It is presented primer sequences that used to determine Cx37 1019 C>T, Cx40 G-44A gene polymorphisms in Table 5.
\nGenes | \nPrimer | \nPrimer sequences | \n
---|---|---|
Cx37 1019 C>T | \nForward | \n5′-CTGGACCCACCCCCTCAGAATGGCCAAAGA-3′ | \n
Reverse | \n5′-AGGAAGCCGTAGTGCCTGGTGG-3′ | \n|
Cx40 G-44A | \nForward | \n5′-CCCTCTTTTTAATCGTATCTGTGGC-3′ | \n
Reverse | \n5′-GGTGGAGGGAAGAAGACTTTTAG-3′ | \n
Sequence of primers for the connexins.
PCR, polymerase chain reaction; Cx, connexin.
Warfarin, an oral anticoagulant, is used in the correction of various thromboembolitic disorders such as prosthetic heart valves, deep vein thrombosis and pulmonary embolism. Thromboembolism or bleeding may develop as a result of inadequate or excessive intake of warfarin. Discomforts such as stroke and systemic thromboembolism can be reduced with anticoagulant treatments. Factors such as age, body size, environment, interacting drugs and gene polymorphisms are effective at warfarin dose requirements. Stable warfarin dose is affected by gene polymorphisms such as single nucleotide gene polymorphism. These polymorphisms play a role in the modulation of warfarin pharmacodynamics and pharmacokinetics. Gamma carbon carboxylation occurs on gamma glutamic acids. Gamma-glutamyl carboxylase (GGCX) found in the endoplasmic reticulum membrane oxidizes vitamin K-2,3 epoxite reduced vitamin K. Therefore, functional vitamin K-dependent clotting factors (II, VII, IX and X) are produced by this enzyme. GGCX catalyzes the biosynthesis of vitamin K-dependent clotting factors. Thus, this enzyme affects warfarin metabolism. Warfarin metabolism, one of the most frequently used anticoagulants in clinical therapy, is affected by the GGCX enzyme. GGCX is a gene that plays an important role in the individual differences of warfarin response. Warfarin is a common anticoagulant that a narrow therapeutic range. Genetic factors that play an important role in warfarin dose requirements include GGCX gene polymorphisms. GGCX gene that consisted of 15-exon is located on human chromosome 2p12. It has been reported that there is a relationship between polymorphisms occurring in the GGCX gene and warfarin dose variability. GGCX rs11676382, rs12714145, rs10654848 and rs699664 gene polymorphisms are the most common polymorphisms of the GGCX gene. GGCX rs11676382 (C>G) gene polymorphism found in intron 14 was found to be associated with low Warfarin dose requirements in the Caucasus. In intron 2, GGCX rs12714145 (3261G>A) gene polymorphism was found to have more warfarin dose requirements in Chinese patients with the AA genotype. In Caucasians and African Americans, there is a significant relationship between GGCX rs10654848 microsatellite (DNA repeats) gene polymorphism in intron 6 and high warfarin dose requirements. GGCX rs699664 gene polymorphism, characterized by a G/A base substitution at the 8th exon. This displacement results in the arginine/glutamine amino acid exchange at position 325. In Japanese and Chinese patients, a significant relationship was determined between this polymorphism and high warfarin dose requirements. In contrast, in Caucasians or African Americans, this gene polymorphism was found not to be associated with warfarin dose. In AF patients, it was determined that GGCX rs699664 gene polymorphism was significantly correlated with GA, AA genotypes and high warfarin dose requirements. Another polymorphism associated with warfarin dose in patients with AF is the GGCX rs2592551 gene polymorphism. The effect of GGCX rs2592551 gene polymorphism on the warfarin dose was investigated in a study conducted by Kamali et al. in a population living in the Xinjiang region (region of multiple ethnic communities of Khan, Uyghur, Kazakh, Hui, Kyrgyz, Mongol and Tajik). In this study, CT and TT genotypes of GGCX rs2592551 gene polymorphism were found to be associated with higher warfarin dose requirements than CC genotype in patients with AF [14, 15]. It is presented primer sequences that used to determine GGCX rs699664, rs2592551 gene polymorphisms in Table 6.
\nGenes | \nForward primer (5′–3′) | \nReverse primer (5′–3′) | \n
---|---|---|
rs699664 | \nAGTGGCCTCGGAAGCTGGT | \nACACAGGAAACACTGGGCTGAG | \n
rs2592551 | \nGGACTTAGAAAGGAACGGATGA | \nCTTGAGAAAAGGCAAAGCAGAC | \n
Primer sequences used in PCR for GGCX.
PCR, polymerase chain reaction; SNP, single nucleotide polymorphism; GGCX, gamma-glutamyl carboxylase.
G-protein β3 subunit C825T gene polymorphism plays an important role in the change of electrophysiological properties of human atrium. This polymorphism occurs in 10th exon of gene, which encodes the G-protein β3 subunit. It has been determined by Siffert et al. that this polymorphism is a genetic risk factor in the development of hypertension. Increased human atrial internal rectifier regulatory potentials have been associated with the TT genotype of G-protein β3 subunit C825T gene polymorphism. There is also a significant relationship between the TT genotype of the G-protein β3 subunit C825T gene polymorphism and the increased internal rectifier flow and reduced acetylcholine stimulating potassium flux in the human atrium. In the European white population, 825 T allele of G-protein β3 subunit C825T gene polymorphism was found to be significantly associated with various cardiovascular disorders such as increased obesity, hypertension, left ventricular hypertrophy and coronary artery disease. In a study performed by Schreieck et al., heterozygote T and homozygote T allele carriage were found to be low risk factors for AF development. G-protein β3 subunit the TT and CT genotypes of the C825T gene polymorphism play an important role in atrial cellular electrophysiological changes. In a study conducted by Dobrev et al., it was determined that TT genotype of this polymorphism correlates with the downregulation of acetylcholine mRNA transcripts in human atrial myocytes. Although there is no relationship between G-protein β3 subunit C825T gene polymorphism and any arrhythmia, in some studies this polymorphism has been associated with the risk of developing AF. In conclusion, gene polymorphisms encoding ion channels are very important in AF pathogenesis. Identification of these polymorphisms will elucidate the multigenic mechanism of AF predisposition [16]. It is presented primer sequences that used to determine G-protein β3 subunit C825T gene polymorphism in Table 7.
\nGenes | \nPrimer | \nPrimer sequences | \n
---|---|---|
G-protein β3 subunit C825T gene | \nForward | \n5′-TTCTCCCACGAGAGCATCATCT-3′ | \n
Reverse | \n5′-GTCGTCGTAGCCAGCGAATAGTA-3′ | \n|
Allele 825C probe | \n5′-CATCACGTCCGTGGCCTTCTCC-3′ | \n|
Allele 825T probe | \n5′-CATCACGTCTGTGGCCTTCTCCCT-3′ | \n
Sequence of primers for G-protein β3 subunit C825T gene polymorphism.
PCR, polymerase chain reaction.
Differences in populations due to myocardial membrane stability, conduction routes or genetic polymorphisms are important factors in predisposing to AF development. In recent association studies, gene polymorphisms found on chromosomes 4q25, 16q22 and 1q21 have been identified as genetic risk factors for AF development. Moreover, these genetic variants are more important in the development of early onset AF. The relationship between these gene polymorphisms and the risk of developing AF has been explored in different populations. From these populations, in one Chinese and European origin considerable differences have been found in terms of these polymorphisms. rs2200733 on the 4q25 chromosome and rs106261 gene polymorphisms on the 16q22 chromosome have been observed quite often in the Chinese population in particular. However, the relationship between the rs7193343 gene polymorphism on the 16q22 chromosome and the risk of developing AF was not significant in the Chinese Han population. In a study conducted by Ellinor et al. with the European population, KCNN3 single nucleotide gene polymorphism, which is associated with AF in the new genetic locus, has been discovered in the potassium medium/small conductance calcium-activating channel. The KCNN3 gene encodes voltage-independent calcium and activated potassium channels. The KCNN3 rs13376333 gene polymorphism is located between the first and second exons of the KCNN3 gene. There are three subtypes of potassium channels as SK1, SK2 and SK3. Atrial myocytes are formed by the subunits of these channels to form heteromultimeric complexes. The expression of SK3 channels is similar to the expressions of SK1 and SK2 channels. There are studies showing that the relationship between these SK channels and AF is significant. However, more studies are needed to determine the role of SK3 channels in AF development. Studies were also conducted in the Asian population to investigate AF associations with KCNN3 gene polymorphisms, which are the ionic channel gene identified in AF GWAS. However, a large number of replication studies are needed to determine this relationship. In a study conducted by Chang et al., KCNN3 rs13376333 gene polymorphism in the Taiwanese population was found to be an important risk factor for the development of AF. Also Ellinor et al. showed that there is a significant association between AF and KCNN3 rs13376333 gene polymorphism. In a study conducted with Chinese Han population, KCNN3 rs13376333 gene polymorphism has not been identified as a genetic risk factor in the development of AF. In Taiwan and China populations, the T allele of KCNN3 rs13376333 gene polymorphism was observed at a significantly lower frequency [17].
\nVoltage-gated sodium channels play an important role in impulse generation and conduction during the rising phase of action potential in excitable cells. There are sodium channel isoforms in the heart. These channels include voltage-gated sodium 1.1, voltage-gated sodium 1.3, voltage-gated sodium 1.5 (Nav1.5), voltage-gated sodium 1.6 and voltage-gated sodium 1.8 channels. The Nav1.5 encoded by SCN5A is responsible for the regulation of cardiac conduction. The Nav1.5 channel plays a very important role in cardiac impulse spread. As a result of the activation of sodium channels, the cardiac action potential is rapidly increasing. Each sodium channel consists of an α subunit and modulating β subunits. The α subunit of the NaV1.5 channel is encoded by the SCN5A gene. Each of the Nav1.5 α subunit consists of 4 homologous domains (DI-DIV) with 6 transmembrane alpha helices (S1-S6). The S1-S4 domains are repeatable and these domains constitute the voltage sensing areas of the channel. The functional pore and selectivity filter of the sodium channel consists of S5, S6 and S5-S6 loops. More than 300 mutations have been identified in the SCN5A gene. SCN5A mutations determined to be associated with Brugada Syndrome (BrS) lead to variable reductions in the sodium flow inward with channel transit changes. These channel passing changes delayed activation, increased inactivation, slow recovery from inactivation, or impaired exchange of channel. As a result, decrease in expression occurs in the cell membrane. Consequently, these mechanisms cause loss of function in the cardiac sodium channel. The most common genotype found among BrS patients stems from mutations in the SCN5A gene. As a result of these mutations occurring in the gene, there is a loss of function in the cardiac sodium channel through different mechanisms. Depolarization or repolarization of cardiac action potential may be affected by due to reduced sodium current. Nevertheless, the underlying pathophysiological mechanism of the BrS phenotype is still being discussed [18]. BrS is defined as a disease characterized by sudden cardiac death characterized by a right bundle branch with an ST segment elevation in leads V1 and V2 in 1992. This syndrome was found to be associated with sudden cardiac death, especially in young men [19]. BrS, determined to be genetic, is a cardiac electrical disorder. BrS, an arrhythmogenic and autosomal dominant inherited cardiac syndrome, is characterized by typical electrocardiographic changes. In a study conducted in the Chinese population, localized in the domain II S4 segment of NaV1.5 α subunit protein, a new mutation, L812Q mutation, has been described. In this study, it was shown that this mutation improved the sodium channel inactivation process and disrupted the membrane expression of the canal in BrS patients [18]. In a Dutch population study, it was determined that SCN5A gene mutations, which cause loss of function in BrS patients, are associated with dilation and deterioration in contractile function of both ventricles [20]. In another study, SCN5A showed a high penetrance for BrS in a large family with the E1784K mutation. In addition, in the same study, overexpressing phenotypes of BrS were shown in E1784K and H558R carriers after the fourth decades of their lifes [21]. There is an effect in the cardiac electrophysiological properties of sodium-gated voltage channel 1.8 via the effect intrinsic on cardiac ganglion neurons. In the isolated ventricular myocardium, it is known that the sodium-gated voltage 1.8 channel is not expressed. In isolated intrinsic cardiac ganglia, there are immunoelectrochemical studies indicating that significant amounts of sodium-gated voltage 1.8 channels are expressed. Facer et al. have shown that sodium-gated voltage 1.8 channel immunoreactive sensory nerves are present in human atrial myocardium. Voltage-gated sodium 1.8 channel is encoded by SCN10A and is a tetradoxin (TTX)-resistant sodium channel. This channel is expressed in dorsal root ganglia, cranial sensory ganglion sensory neurons. The SCN10A gene, which contains 27 exons, is localized on chromosome 3q22.2. The SCN10A gene has been shown to be associated with cardiac transmission. Because the SCN10A gene plays a role in increasing the PR interval and QRS duration in the electrocardiogram. Therefore, it was found that there is a relation between SCN10A and AF development. The SCN10A sodium-gated voltage 1.8 channel plays an important role in modulating the induction of AF. Verkerk et al. have demonstrated that the SCN10A sodium-gated voltage 1.8 channel is present in intrinsic cardiac neurons. In a study conducted by Chambers et al., a significant relationship was found between SCN10A rs6795970 gene polymorphism and PR interval. SCN10A rs6795970 (G>A) gene polymorphism is a missense mutation and causes an A1073V amino acid substitution in the sodium-gated voltage channel 1.8 IDII/III intracellular cycle. In a study conducted by Ritchie et al., the G allele of SCN10A rs6795970 gene polymorphism was found to be a genetic risk factor for the development of AF. In another study performed by Sabbari et al., G allele of SCN10A rs6795970 gene polymorphism was associated with increased risk of AF. A significant association was found between the SCN10A rs6800541 gene polymorphism and AF development in the study conducted by Pfeufer et al. [22, 23].
\nKCNE1 widely known as a potassium ion channel encoding gene for humans and it is localized on chromosome 21q22.1–21q22.2 encoding the subunit of the potassium ion channel (IKs). KCNE1 plays an important role in atrial and ventricular repolarization. The KCNE1 gene was discovered by Murai et al. in 1989. Studies have shown that KV7.1, the α subunit of the IKS current, plays an important role in AF pathogenesis. The regulatory β subunits of the IKS current also bind to the KCNE1 gene. Biophysical properties of these β subunits of KV.71 can be altered by expression together. The β subunits of IKS contain 130 amino acids, which is called the Mink protein. Several single nucleotide gene polymorphisms have been identified in the KCNE1 gene. The most common of these polymorphisms is the KCNE1 G38S (rs1805127 G>A, G38S) polymorphism. The KCNE1 gene polymorphism is characterized by a glycine or serine amino acid substitution in the 38th position of the gene. As a result, stronger IKs flows occur. Various studies have been carried out to demonstrate that the KCNE1 gene and polymorphisms are highly effective in AF pathogenesis. In a study conducted by Lai et al., a significant association was found between the risk of developing AF in the Taiwanese population and the KCNE1 G38S gene polymorphism. Despite this conclusion in the Taiwanese population, it has been determined that this polymorphism is not a genetic risk factor in the development of AF in the Chinese population. Studies conducted with European and Uighur populations have also found that KCNE1 G38S polymorphism is a risk factor associated with AF. A total of 14 studies were conducted to investigate the relationship between KCNE1 G38S gene polymorphism and the risk of developing AF. In eight of these studies, a significant relationship was found between the risk of developing KCNE1 G38S gene polymorphism and AF. However, no significant relationship was determined in other six studies. In a meta-analysis study conducted by Jiang et al., to evaluate the relationship between KCNE1 G38S polymorphism and AF, it is concluded the KCNE1 G38S gene polymorphism increased AF risk. In a study carried out by Yadav et al., in the North Indian population, KCNE1 G38S gene polymorphism was found to be not a risk factor for postoperative AF development. In a study by Chen et al., it was found that the arrhythmia matrix is important at the onset or maintenance of AF. The arrhythmia matrix is formed by the interaction of proteins encoded by KCNE1 with other proteins. Therefore, the KCNE1 gene plays a very important role in regulating cardiac rhythm. Studies involving subgroup analyzes also found that the risk of developing AF in white populations with risk alleles was higher than in the Chinese population. The pathogenesis of AF is unknown. However, as a result of mutations in the genes encoding the ion channel, AF can develop due to a decrease in IKs. Environmental factors and genetic factors play a role in the pathogenesis of AF. It has been determined that different polymorphisms in genes encoding ion channels other than the KCNE1 G38S gene polymorphism may also be important risk factors for AF development [24, 25]. It is presented primer sequences that used to determine polymorphisms in the genes coding ion channels in Table 8.
\nSNP rs | \nForward primer (5′–3′) | \nReverse primer (5′–3′) | \n
---|---|---|
KCNN3 rs13376333 | \nTGAGAGCACCTGCAGACATC | \nGCAGCAAGAAGTGGGTCAAT | \n
SCN10A-1 rs6795970 | \nATGACCCGAACTGACCTTCC | \nTGACGCTAAAATCCAGCCAGT | \n
SCN10A-2 rs6795970 | \nTGACAGAGGAGCAGAAGAAATACTACA | \nGTTGAGGCAGATGAGGACCA | \n
KCNE1 rs1805127 | \nGTGACGCCCTTTCTGACCAA | \nCCAGATGGTTTTCAACGACA | \n
KCNE1 rs1892593 | \nTGGGCTCTATTTTCAG | \nCCATTGGTCATTTTCC | \n
Primer sequences used in PCR for polymorphisms in the genes coding ion channels.
PCR, polymerase chain reaction; SNP, single nucleotide polymorphism.
A polygenic process involving transcription factors, cardiac ion channels, myocardial and cytoskeletal proteins plays an important role in AF pathogenesis. Based on the entire genome sequence, GWAS has shown that three low-frequency coding variants are effective in the development of AF. The myosin sarcomeric genes MYH6 and MYL4, the cytoskeletal gene PLEC, are these variants. MYH6, MYL4 and PLEC genes also encode cardiomyocyte structural components such as MYZAP. Ribosome activity can be specifically regulated in the cell via changes in the ribozyme protein composition. The eukaryotic ribosome consists of 4 different ribosomal RNAs and about 80 ribosomal proteins. This ribosome plays an important role in translating the messenger mRNA into a protein. Ribosomal proteins or genes encoding ribosome biogenesis factors may result in mutations leading to ribosomopathy, a hereditary disease. It is known that RPL3L-containing ribosomes may cause translational activity changes. Among RPL3L missense mutations, a negative regulator of muscle growth, p.Ala75Val and p.Gly12Arg mutations are important. Apart from these mutations, the RPL3L c.1167+1G>A mutation is involved in the impairment of the interaction of RPL3L with endoplasmic reticulum. As a result of these mutations, the risk of developing AF is increasing. Human Myozap mRNA is expressed primarily in the heart. Myozap regulates serum response factor signaling in the nucleus. This is why it plays an important role in cardiac signal transduction. Mutations in intercalated disk genes result in cardiomyopathies and sudden cardiac deaths that are a significant risk for AF. AF variants are defined in the genes coding for components of intercalated discs and in the vicinity of these genes. Seeger et al. found the MYZAP gene in the components of intercalated discs. Intercalated discs are a cell-cell contact structure that provides mechanical, electrical and chemical communication between cardiomyocytes. The risk of AF is also increasing as a result of MYZAP p.Gln254Pro gene polymorphism. In a previous study, there was a significant relationship between four low-frequency coding variants in the RPL3L and MYZAP genes and the risk of developing AF. The missense variant in MYZAP was identified as a genetic risk factor in the development of AF [26].
\nSeveral studies have been carried out to investigate the relationship between inflammation and AF. These studies have led to the conclusion that inflammation may cause AF or play an important role in the onset and maintenance of AF. Myocarditis, pericardiotomy and C-reactive protein (CRP) levels were associated with AF, a dysrhythmia, in studies conducted. However, in some other studies, it has been determined that there is a relationship between AF and the induction of inflammatory response. Previous studies have suggested that AF may be due to inflammatory processes and there is a significant relationship between the CRP levels and the risk of developing AF in these studies. A study performed by Lo et al. found a significant relationship between high basal CRP levels and increased postoperative AF risk. Non-Willebrand factor expression, which is effective in tissue factor, fibrinogen, factor VIII and prothrombic state, is induced by the IL-6 gene, which plays an important role in inflammation. Another study by Gaudino et al. found that −174 G/C polymorphism, a polymorphism in the promoter region of the interleukin-6 (IL-6) gene, was a significant effect on the inflammatory response and was associated with the risk of postoperative AF development. Also Marcus et al., in their study showed a significant relationship between increased IL-6 levels and the risk of developing AF. There is also a study showing that patients with high CRP levels have higher AF risk than patients with normal CRP levels [27].
\nThere are four unique nucleotide polymorphisms on the 4q25 chromosomal region, rs2200733, rs2220427, rs2634073 and rs10033464, and in studies conducted in European and Chinese populations, a significant relationship was found between these polymorphisms and the risk of developing AF. There are no known biological roles of these single nucleotide polymorphisms. These polymorphisms near to the homedomain transcription factor 2 (PITX2) gene and potentially alter the function of this factor. PITX2 is involved in the cardiac pathogenesis of ischemic and pulmonary venous access pathways. rs2200733 and rs13143308 that among the polymorphisms found on the 4q25 chromosome have also been identified as genetic risk factors for AF development. There are also several epidemiological cohorts recently showing a significant association between rs2200733, rs10033464 single nucleotide polymorphisms located in the 4q25 chromosome and AF development. In a recent study, rs2200733 polymorphism was found to be a genetic risk factor for AF development, proliferation and recurrence [28].
\nPRRX1 (paired-related HomeBox 1) is a gene encoding homedomain transcription factor that is expressed high in the developing heart. As a result of GWAS, the molecular mechanisms related to AF have been tried to be elucidated. In a recent meta-GWAS, significant correlations were found between the risk of developing rs3903239 polymorphism and AF on the 1q24 chromosome of the PRRX1 gene. In another study conducted with the Greek population, the role of the genetic interaction between PRRX1 rs3903239 and PITX2 rs2200733 gene polymorphisms in the development of AF was investigated and no significant interaction could be detected between these polymorphisms in AF patients. In addition, there was no significant difference in terms of PRRX1 rs3903239 allele frequencies and genotypes between AF patients and healthy controls in the same study. In another study conducted with the Chinese population, PRRX1 rs3903239 gene polymorphism was not detected as a significant genetic risk factor for AF [29].
\nVarious studies have been conducted to investigate the relationship between β-fibrinogen 455G/A polymorphism and ischemic stroke in different populations. In a study conducted by Kessler et al., the AA genotype of the β-fibrinogen 455G/A polymorphism was more observed in patients with major vascular infarction. In a study conducted by Nishiuma et al., in a Japanese population, A allele of β-fibrinogen 455G/A polymorphism was identified as an independent risk factor for hypertensive patients. In a study conducted by Martiskainen et al., a significant association was found between the A-allele and the lacunar infarction susceptibility in the β-fibrinogen 455G/A polymorphism. In a study conducted by Zhang et al., in the Chinese population, β-fibrinogen 455G/A polymorphism was found to be a genetic risk factor in the development of ischemic stroke. There are some meta-analysis studies showing that β-fibrinogen 455G/A polymorphism is associated with ischemic stroke in Chinese or Asian populations. A number of studies have been conducted to determine the association between this polymorphism and ischemic stroke, but no study has shown genetic effects in the pathogenesis of cardioembolic stroke in AF patients. The role of β-fibrinogen 455G/A polymorphism in cardioembolic stroke pathology is unclear. Promoter elements play an important role in regulating gene transcription. Transcription factor binding sites and transcription initiation rates can be varied by a promoter variant. β-fibrinogen 455G/A polymorphism has an important stimulatory effect on the rate of basal and induced transcription rate of the β-fibrinogen gene. There is a significant association between A allele of this polymorphism and increased promoter activity. β-Fibrinogen 455G/A polymorphism is one of the genetic polymorphisms associated with an increase in plasma fibrinogen. The increase in fibrinogen levels of individuals with A allele is greater than the increase in fibrinogen levels of individuals with G allele. Therefore, A allele of β-fibrinogen 455G/A polymorphism was found to be associated with higher fibrinogen level. Platelet aggregation, fibrinogen, an important determinant of blood viscosity, is a component that plays a role in the coagulation cascade. As a result of elevated fibrinogen levels, thrombosis progresses and coagulation increases. In animal studies, fibrinogen applications have been shown to increase thrombosis and embolic status at increasing doses. In addition, it is known that fibrinogen has been implicated in triggering various inflammatory processes. As a basic component of inflammation, fibrinogen can cause impairment of thrombus plaque and is effective in the development of ischemic stroke. As a result of all these events, hemorheological disorders occur. As a result of all these events, hemorheological disorders occur. Other polymorphisms that occur in the fibrinogen gene may also cause high fibrinogen concentrations such as β-fibrinogen 455G/A polymorphism β-fibrinogen 455G/A polymorphism has also been proven to be ineffective in the development of thrombotic events. In a study carried out by Xiaofeng Hu et al., in Chinese AF patients, proved that there is a relationship between increased risk of cardioembolic stroke and β-fibrinogen 455G/A polymorphism [30].
\nHyperhomocysteinemia plays an important role in the pathogenesis of nonvalvular AF. Hyperhomocysteinemia develops as a result of polymorphisms occurring in genes encoding homocysteine metabolism. These polymorphisms are thought to be effective in the development of nonvalvular AF, which is the most common arrhythmia in clinical practice. Homocysteine is a highly reactive, sulfur-containing amino acid that occurs as a product of the essential amino acid methionine. Gene polymorphisms known to be associated with homocysteine occur in genes encoding enzymes that play a role in the metabolism of homocysteine. Of these polymorphisms, MTHFR C677T and A1298C gene polymorphisms are associated with a decrease in MTHFR enzyme activity. In addition to these polymorphisms, there is also the MTR A2756G gene polymorphism. Homocysteine plays an important role in the pathogenesis of AF and there are studies showing that there is a significant relationship between increased homocysteine levels and AF. In some studies, there was a significant relationship between MTHFR C677T gene polymorphism and increased plasma homocysteine levels in patients with low folate levels. There are few studies related to MTHFR A1298C and MTR A2756G polymorphisms. In a study conducted by Betti Guisti et al., there was a significant relationship between plasma total homocysteine levels and MTHFR C677T gene polymorphism genotype distributions in patients with nonvalvular AF. Furthermore, no significant relationship was observed between plasma total homocysteine levels and MTHFR 1298AA and MTR 2756GG genotypes in nonvalvular AF patients. Given the combined genotype distributions, it is known that the MTHFR C677T and A1298C gene polymorphisms are related to each other [31]. It is presented primer sequences that used to determine MTHFR (C677T and A1298C) and MTR A2756G gene polymorphisms in Table 9.
\nGenes | \nForward primer (5′–3′) | \nReverse primer (5′–3′) | \n
---|---|---|
MTHFR C677T | \nbiotinTGAAGGAGAAGGTGTCTGCGGGA | \nCCACTCCAGCATCACTCACT | \n
MTHFR A1298C | \nbiotinCAAGGAGGAGCTGCTGAAGA | \nCTTGAGAAAAGGCAAAGCAGAC | \n
MTR A2756G | \nCATGGAAGAATATGAAGATATTAGAC | \nbiotinGAACTAGAAGACAGAAATTCTCTA | \n
Primer sequences used in PCR for MTHFR C677T and A1298C, MTR A2756G.
PCR, polymerase chain reaction; SNP, single nucleotide polymorphism; MTHFR, methylenetetrahydrofolate reductase; MTR, methionine synthase reductase.
Different results have been obtained in gene polymorphism studies to explain the pathogenesis of AF in which environmental and genetic factors play a role together. Differences in the results of these studies may result from different selection criteria for patients and control groups. Moreover, the findings obtained from these studies are different from each other because they are carried out with different races and populations. Identification of genes associated with AF and polymorphisms that occur in these genes will allow us to have information about the underlying mechanisms of the disease in susceptibility to this disease. Identification of candidate genes that play a role in genetic susceptibility to AF will be mentor to the prevention of this disease and the development of new therapies for disease. In order to be able to explain the pathogenesis of AF and to develop appropriate therapies for this disease, comprehensive studies should be conducted with different populations and with a large number of patients and control groups.
\nThis chapter was performed by Nevra Alkanli, Arzu Ay and Suleyman Serdar Alkanli in department of Biophysics of T.C. Halic University Medical Faculty, Trakya University Medical Faculty and Istanbul University Medical Faculty.
\nWe declare that there is no conflict of interest with any financial organization regarding the material discussed in the chapter.
Generally, antenna unit is a requisite of any on-air radio frequency system forming its service area and bandwidth capability. At present, implementing an active phased array antenna (PAA) [1] results in remarkably increased footprint and operation flexibility thanks to electronic beam steering function, which is realized by a beamforming network (BFN). Today, the global telecommunications industry is experiencing a stage of violent development associated with the becoming of the fifth-generation mobile communication networks (5G NR) [2, 3, 4, 5, 6], and it is planned that one of the milestones for 5G NR compared to available 4G LTE networks should be millimeter-wave (mmWave) communication with mobile radio terminals [7, 8]. This approach should lead to a newer network design technology using Radio-over-Fiber (RoF) building concept as well as PAA-assisted remote stations (RS) and user terminals (UT) [8, 9]. On this way, integrated and millimeter-wave (mmWave) photonics are extremely attractive technologies for realizing a PAA’s interactive optical BFN due to its superior instantaneous operating bandwidth, immunity to electromagnetic interference, lightweight, and reconfigurability [3].
Following it, recently we designed photonics-based BFNs for ultrawide bandwidth mmWave (57–76 GHz) antenna arrays [10]. Elaborating the direction, in this chapter, we review the worldwide progress referred to designing multiple-beam photonic BFN and highlight our last simulation results on design and optimization of millimeter-photonics-based matrix beamformers. Thus, in the rest of the sections, the following topics are under consideration. In particular, Section 2 reviews the specialties of mmWave photonics technique in 5G mobile networks of RoF technology based on fiber-wireless (FiWi) architecture. In addition, Section 3 presents theoretical background of array antenna multiple-beam steering using ideal models of matrix-based phase shifters and time delay lines. Section 4 includes a general analysis of radiation pattern sensitivity to compare updated photonics beamforming networks produced on phase shifter or true-time delay (TTD) approach. The principles and ways to optimized photonics BFN design are discussed in Section 5 based on the photonics BFN scheme including integrated 8×8 optical Butler matrix (OBM). All schemes are modeled using VPIphotonics Design Suite and MATLAB software tools. Finally, Section 6 concludes the chapter.
Based on 4G LTE progress [3], 5G NR is in principle a novel stage of unprecedented technological innovation with ubiquitous speed connectivity. As a result, it is expected that 5G NR will radically transform a number of industries and will provide direct, super-speed connections between any users and any sensors and devices. By now, several reviews to analyze significant changes in the 5G NR approaches as compared to the existing 4G LTE networks have been published [8, 11] denoting a series of milestones. Developing this topic, Table 1 summarizes the results of the advanced analysis focusing on the investigations referred to a fronthaul network with mobile communication in mmWave-band.
No. | Designation | Short description |
---|---|---|
1 | Radically expanding the available spectral bands | Some superwide bandwidth cases in 5G access networks will require contiguous carrier bandwidths. To support them, additional carrier frequencies (below 6 GHz), as well as mmWave RF carriers will be required |
2 | Using active antenna systems in mmWave communication | Following the tendencies of expanding the available spectral bands and increasing user densification, mmWave 5G wireless network infrastructure can be erected with a lot of small cell sites controlled by the corresponding RSs. In order to avoid inter-interference inside these cells, one of the promising approaches is to equip the RS with beam-steerable PAA using hundreds of antenna elements to form multiple directional beams in omnidirectional space |
3 | Establishing optimized access network architecture | Following the milestone of item 1, it is necessary to optimize the access network architecture so that at the same time it will provide high-quality communication with fixed and mobile users subject to low charges for the building and maintenance of networks. A promising candidate for solving the problem is a RoF’s FiWi architecture, already tested in 4G LTE systems |
The milestones in the way to transform 4G LTE to 5G NR.
The review of the current R&Ds in 5G NR area convincingly demonstrates the consistent achievement of the designated in Table 1 milestones, which is reflected in a vast number of publications and emergence of commercial products. Among them, much attention is paid to radically expanding the available spectral bands up to mmWaves (see item 1 of Table 1) to promote the throughput of mobile communication system. Following this tendency, currently, the local telecommunications commissions of various countries are proposing and harmonizing the plans of frequency allocation in mmWave-band, which will be reviewed this year at the World Radio Conference (WRC-2019). Currently, for the 5G NR networks, it is planned to allocate two frequency bands (see Figure 1), coexisting with available 4G LTE systems in the 1–6 GHz band (the so-called “low range” (LR)) and new one in the mmWaves within the range of 24.5–86 GHz according to [12] (the so-called “high range” (HR)).
Planned 5G NR spectrum allocations [
Based on various investigations, let us review the key advantages and disadvantages of the mobile communication system operation in the millimeter range. The following are the advantages of the 5G mmWave mobile communication:
It provides larger bandwidth, and hence, more number of UT can be accommodated.
Its coverage is not limited to the line of sight (LoS) as first-order scatter paths are viable.
Channel sounding feature is employed to take care of different types of losses at mmWave frequencies so that 5G network operates satisfactorily thanks to the measurement or estimation of channel characteristics, which helps in successful design, development, and deployment of 5G network with necessary quality requirements.
Antenna size is physically small, and hence, a large number of antennas are packed in small volume. This leads to the use of massive multiple input, multiple output (MIMO), or beam-steerable PAA in RS to enhance the capacity (see item 2 of Table 1).
Dynamic beamforming is employed, and hence, it mitigates higher path loss at mmWave frequencies.
5G mmWave networks support multi-gigabit backhaul up to 400 m and cellular access up to 200–300 m [13].
Due to these benefits, 5G mmWave is suitable for mobile communication over sub-6 GHz wireless technologies. The main disadvantages of 5G mmWave communication are the next:
Millimeter-wave goes through different severe losses such as penetration, rain attenuation, and even foliage. This limits distance coverage requirement in 5G-based cellular mobile deployment. Moreover, path loss is proportional to the frequency squared. It supports about 200–300 m in outdoors based on channel conditions and RS antenna height above the ground.
It supports only LoS that limits the cell coverage.
Power consumption is higher due to the greater number of RF modules and antennas. To avoid this drawback, hybrid architecture, which has fewer RF chains than the number of antennas, needs to be used at the RS receiver chain.
These disadvantages must be considered during 5G mmWave link budget calculation.
The drawbacks mentioned above led to the need for a radical change in the architecture of access networks compared to 4G LTE. In particular, instead of macro-cells, a multistage configuration was introduced, additionally containing micro-cells and pico-cells [3, 14]. In this direction, a newer RoF-based access networks of FiWi architecture is considered as the most promising approach (see item 3 of Table 1) ([9, 11]). The reason is that the important drawback for the implementation of the wired links, for example, of Fiber-to-the-Home (FTTH) architecture is feasible for fixed UTs only. In contrast, current wireless access networks of 4G LTE that provide a flexible communication with a relatively simple infrastructure cannot meet growing in geometric progression demands to increase the capacity of mobile systems. The most promising technique to meet it, which is actively discussed in the referred publications, is to expand the operating frequency band and to apply multi-position digital modulation of a radio frequency (RF) carrier through fiber fronthaul to simplify pico-cell RS layout. Figure 2 illustrates a typical pico-cell in a large city. The mmWave wireless network is managed from a remote station including one unidirectional PAA for downlink and uplink channels.
Sketch of a typical wireless pico-cell for 5G access network.
The source data for posterior calculations of multi-beam PAA in a pico-cell are:
The base station is located on a separate mast of 3 m high in the geometric center of the service area (see Figure 2).
The overall azimuth angle for the PAA under study is 360°.
The elevation angle for the PAA under study must be such that the dead area around the mast does not exceed 1 m.
The service radius of the pico-cell under investigation is 50 m.
The operating frequency band is 37.0–43.5 GHz (see Figure 1).
As noted in chapter 2, mmWave array antennas capable of operating in ultrawide frequency range are considered as one of the key enabling technologies for designing RS of 5G NR network. There, a formation of a narrow steered beam by means of a PAA makes it possible to increase the directive gain to compensate for the excessive loss in the mmWave-band. Besides, the use of narrow beams would reduce the interference effects from other closely spaced mobile terminals and provides the possibility of spatial multiplexing to increase throughput while simultaneously exchanging information with several RSs.
Generally, electronic scanning in the PAA is provided by a beamforming network, which includes phase shifters or delay lines [1]. The BFN supports a continuous or discrete beam movement in space due to phase control or signal delay between the array elements. In our previous work devoted to the study of the PAA BFN [10], a single-beam PAA with electron scanning of the radiation pattern was considered. Nevertheless, for 5G pico-cells in conditions of simultaneous communication with a large number of terminal units, using a set of multiple-beam antenna (MBA) is considered to be a more practical way. PAAs based on MBA have greater functionality, but they are very complex, bulky, energy-consuming, and expensive devices. These factors limit their use to date mainly in special-purpose radars and unique satellite communication stations, for example, in satellite arrays of the iridium global mobile communication system [15]. There, PAA of the transponder has 106 channels and forms 16 fixed beams covering the contour-shaped the Earth’s area. Each satellite has three such PAA, each of which forms its own sector. Thus, a set of 48 fixed satellite beams covers the Earth’s area of about 4000 km in diameter.
As noted in [10], an appropriate beamforming scheme focusing the transmitted and/or received signal in a desired direction in order to overcome the unfavorable path loss is one of the key enablers for cellular communications in mmWave frequency bands. Depending on its layout, the beamforming weights required to form the directive beam could be applied in the digital or analog domain. Generally, digital beamforming provides a higher degree of freedom and offers better performance at the expense of increased complexity and cost because separate digital-to-analog converters, and analog-to-digital converters are required per each RF chain. Analog beamforming, on the other hand, is a simple and effective method of generating high beamforming gains from a large number of antennas but less flexible than digital counterpart.
For analog MBAs, BFN on the basis of multipole microwave circuits are usually applied. In particular, multipoles based on the Butler and Blass schemes are in common use since they are more compact than quasi-optical BFNs. In addition, they can be performed on printed circuit boards decreasing BFN’s cost, size, weight, and power (C-SWaP) characteristics that are critical challenges in communication system design. For example, Butler matrix-based BFNs are exploited in the abovementioned iridium system. Currently, fixed-beam PAAs that use matrix BFNs based on a parallel circuitry (Butler matrix) and a serial circuitry (Blass matrix) [1] are being developed for photonics compatible mmWave small cell RSs of incoming 5G NR mobile communication networks.
Following this, below, a short theoretical study using ideal models is presented pursuing the goal to define the optimum RS’s omnidirectional antenna construction, type, and configuration of multi-beam matrix for its BFN and the input data for the posterior design and optimization of the specific photonics-based BFN for the mmWave-band PAA exploiting widespread computer-aided design (CAD) tools.
First, following [1], the schematics and characteristics of Butler and Blass matrixes are discussed below.
The traditional RF-band layout of Butler matrix consists of quadrature hybrids, fixed phase shifters, and transmission lines between them. A matrix can be used to feed a PAA; the number of elements of which is a multiple of degree 2. Figure 3 demonstrates the block diagram (a) and BFN beam rosette (b) of the 8-element Butler matrix.
(a) Block diagram of 8×8 traditional Butler matrix and (b) corresponding BFN beam rosette.
The number of inputs of the matrix is equal to the number of outputs. The amplitude-phase distribution at the outputs of the Butler matrix is described by the following formula:
where
When connected to a linear equidistant PAA of
where
Examples of the normalized radiation patterns for 4×4 (a) and 8×8 (b) Butler matrix.
Thus, due to the simplicity of the design and a relatively small number of elements, the Butler matrix is used in tasks that do not require the possibility of arbitrarily setting beam directions, for example, in covering the wide service sector of a wireless system.
The Blass matrix consists of directional couplers connected to the inputs and outputs using transmission lines with different fixed delays. The matrix can be used to supply signals to the PAA with an arbitrary number of elements; the number of inputs can also be arbitrary and is determined by the required number of beams to be formed. The block diagram of the Blass matrix for three inputs and eight outputs, as well as the BFN beam rosette is shown in Figure 5.
Block diagram of the 3×8 Blass matrix (bottom) and corresponding BFN beam rosette (top).
The amplitude-phase distribution at the outputs of the Blass matrix with
where m is the input number n is the output number.
Due to the fact that the RF signal from the input port sequentially passes through several directional couplers for feeding all the PAA elements, each coupler in the matrix must has the strictly defined value of the branch ratio, which greatly complicates the design. The configuration of the Blass matrix requires a larger number of directional couplers than Butler matrix, which increases its cost and often degrades the C-SWAP characteristics. However, due to the use of delay lines, the beams do not deviate from their position when the wavelength λ varies as it happens using the Butler matrix (see Eq. (2)). For this reason, the Blass matrix is better feasible for ultrawide band systems with a fractional bandwidth of more than 20%, as well as in systems requiring specific beam placement, for example, in satellite broadcasting equipment. Based on this outcome, in the course of further consideration of 5G mmWave MBA beam steering, only the BFN based on the Butler matrix will be studied.
From the outcome of Section 1, it follows that using an antenna’s installation height of 3 m and a coverage radius of 50 m, the elevation angle of 78°, provided by a half-wave dipole in the E-plane, is sufficient to provide a radius of not more than 0.5 m for the dead zone in the immediate vicinity of the mast (see Figure 6).
Calculation of the radiation pattern in the elevation plane for one-dimensional PAA.
As can be seen in Figure 4, the extreme beams generated by the Butler matrix have a significantly greater width and less directivity than the others do. Their use should be abandoned in order to avoid creating significant interference outside the service sector. Thus, the 4×4 matrix makes it possible to effectively exploit only two beams, which is not enough for spatial multiplexing of communication channels under the conditions illustrated in Figure 2; it is necessary to use an 8×8 matrix with six active channels. A fan using six beams allows covering a sector of the order of 50° for the −4 dB level (see Figure 4), which provides a full 360° coverage with four PAAs mounted at 90° relative to each other, as shown in Figure 7.
Configuration of the antenna system for the mmWave pico-cell remote station under study.
According to [1], the radiation pattern of a PAA
where
For a half-wave dipole,
For a one-dimensional linear equidistant 8×1 PAA with a distance between elements
where
Equation (7) is fundamental for further modeling.
Note that to ensure the required coverage in the elevation plane, the PAA panels have to be tilted to the ground at an angle near 45°. The unidirectional coverage provided in the azimuth plane by four sub-arrays of antenna system is illustrated in Figure 8.
Radiation pattern of RS antenna system in the azimuth plane.
To summarize, the following outcomes could be concluded:
The Butler matrix is more suitable for the formation of a multipath radiation pattern in comparison with the Blass matrix because of its simpler design, fewer components, and better C-SWAP characteristics.
The use of six central beams, generated by the eight-channel Butler matrix, provides a coverage sector of about 50° and does not create a significant level of interference beyond its limits.
The omnidirectional coverage of the service area is provided by using half-wave dipoles as elements of the one-dimensional PAA, providing coverage of 78° in elevation angle and an antenna system of four linear PAA, providing overall coverage of 360° in azimuth.
Due to the difficulty in providing time delays between PAA elements, phase shifters usually control the steering signal instead of using actual time delays, because their realization in RF band is much simpler, especially in the case of limited bandwidth. However, a phenomenon called “beam squint” leads to an error in the direction of the maximum of the PAA pattern and also to a certain increase in the level of the side lobes. Nevertheless, as known, a BFN based on phase shifters has become widespread in relatively narrowband RF-band PAAs with a fractional bandwidth, commonly not exceeding 10%, depending on the criterion used [16]. Though, the development of a key trend for 5G NR networks associated with the implementing the mmWave in the wireless frontend has led to a change in the design principle of the access network’s RS, whose antenna pattern was steered using photonics technique. At the same time, due to the more complexity for the implementation of fundamentally narrowbandwidth phase shifters in the optical range, the so-called true -time delay (TTD) concept based on wideband optical delay lines has been widely used [17, 18, 19, 20].
Thus, when the fractional bandwidth of the BFN under design exceeds the 10% as noted above, it is required to determine the optimal approach by analyzing the sensitivity of the radiation pattern to the frequency change in the entire specific RF range. We previously performed this procedure for the mmWave PAA with single-beam photonics BFN operating in the 57–76 GHz RF band (fractional bandwidth of 28.6%) [10]. As a result of the direct comparison, the TTD approach was unambiguously selected, since using phase shifters in the BFN produced more than 10% shift in the azimuth angle for the main lobe of the NRP, as well as increase in the side lobes level by almost 10 dB. This chapter discusses a mmWave multiple-beam photonics BFN operating in the 37–43.5 GHz band (fractional bandwidth of 16%), for the implementation of which the Butler matrix (see Figure 3) is preselected (see section 3). In its scheme, to ensure the required phase shifts, optical delay lines of constant length are usually used [21]; therefore, prior to designing the specific BFN, the sensitivity analysis is also necessary.
In the process of simulation using MATLAB software, the sensitivity of the PAA’s NRP is examined for the example of a linear equidistant array of eight ideal isotropic elements designed for operation at the center (40.25 GHz) and two extreme (37.0 and 43.5 GHz) frequencies of the specified RF range. The BFN diagram was drawn based on the 8×8 Butler matrix according to Figure 3 with the replacement of phase shifters with ideal equivalent delay circuits, in which the constant delay
where
Table 2 lists the calculation results for phase shift (see Figure 3).
Phase shift | 22.5° | 45.0° | 67.5° | 90.0° |
Time delay | 1.55 ps | 3.1 ps | 4.65 ps | 6.2 ps |
Time delays of the equivalent delay circuits of 8×8 Butler matrix.
The results for MATLAB calculations of NRP using Eq. (7) at the center RF, lower RF, and upper RF in the azimuth angles range of ±50° from PAA broadside are shown in Figures 9
NRP at the center RF of 40.25 GHz using phase matrix (top) or time delay matrix (bottom).
NRP at the lower RF of 37.0 GHz using phase matrix (top) or time delay matrix (bottom).
NRP at the upper RF of 43.5 GHz using phase matrix (top) or time delay matrix (bottom).
To summarize, the following outcomes could be concluded.
According to [1], a Butler matrix provides a predetermined phase distribution at its outputs within the operating frequency band of its constituent components, such as quadrature hybrids and phase shifters. In it, when the RF deviates from the central one, the effect of beam squint is observed. The set of the beams narrows at the upper frequency and expands at the lower one, but the intersection point of the neighboring beams still remains at −4 dB from the maximum.
When used in the matrix, some delay elements with the values given in Table 2
Despite visible deviations in the shape of radiation patterns, the simulation results demonstrate the possibility of using delay elements in the Butler matrix to ensure uniform coverage of the sector ±50° in the 37–43.5 GHz operating frequency range when the antenna elements are spaced through half the wavelength corresponding to the center frequency.
In general, photonics-based BFNs for PAAs have many potential advantages over their electrical counterparts [18, 19, 22], such as small size, low weight, no susceptibility to electromagnetic interference, and, especially, wide instantaneous bandwidth, and squint-free array steering while using TTD concept. This section first reviews the state of the art in mmWave photonic beamforming concepts and technologies and their potential application in multiple-beam antennas. Following it an updated schematic of multiple-beam mmWave array feed networks using photonics integrated circuit (PIC) of optical Butler matrix is proposed and modeling by well-known software tool VPIphotonics Design Suite [23].
To date several optical beamforming architectures have been proposed using different technological implementations [10] such as free-space optics, fiber optics, or integrated optics. Among them, integrated photonic beamformers (IPBF) are of particular interest from the point of view of compactness and moderate implementation costs [21, 24, 25, 26, 27, 28]. In addition, their attractiveness is expected to increase as the RF signal frequency increases up to mmWave. Today, a number of reviews and research papers are devoted to the study of building principles for 5G NR small cells in the mmWave band [13, 21, 29, 30]. Table 3 highlights the main design principles and ways for mmWave IPBF.
No. | Time delay unit | Scheme | Bandwidth | Steering method, settling time | Delay range | Source |
---|---|---|---|---|---|---|
1 | Integrated waveguide | Binary with 2×2 switches | Narrowband 42.7 GHz | Switchable, 4 bit, 20 ns | 15.7 ps | [31] |
2 | Optical ring resonator | 1×4 TTD binary tree | 8.7 GHz at 90 GHz | Thermal tuning | 172.4 ps | [32] |
3 | Integrated waveguide | 2×2 Butler matrix | Approximately 200 MHz | Fixed | 100 ps | [21] |
4 | Optical ring resonator | 16×1 TTD binary tree | 2.5 GHz | Thermal tuning | 1200 ns | [33] |
5 | Integrated waveguide | 8×8 Blass matrix | — | — | — | [33] |
6 | Integrated PLC waveguide | Independent phase and amplitude control, four channels | Narrowband, 60.8 GHz | Thermo-optic effect | ±45° | [34] |
Examples of mmWave IPBF.
The review of the referred sources allows us to conclude the following:
The direction of mmWave IPBF is at the initial stage of its development. There are a small number of publications related to the research and development of IPBF in the field of telecommunications.
There are two approaches to ensuring delays in an IPBF. The first is based on the transit time through the planar waveguide. The disadvantage of this method is the relatively large length of the waveguide, which leads to an attenuation of the signal and an increase in the dimensions of the beamformer. However, this method is often used due to the ease of implementation.
The second approach involves the use of optical ring resonators. Its main disadvantage is narrowing the bandwidth with increasing group delay time, which leads to the necessity of cascading elements to obtain feasible delays. Nevertheless, with the help of ring resonators, it is possible to obtain an order of magnitude larger delay values.
One of the most promising techniques for designing an RS’s PAA is to use IPBFs based on a multiple-beam Butler matrix.
Analysis of the publications referenced in Table 3 allows us to draw a generalized block diagram of photonics-based mmWave multiple-beam array feed network for downlink channel of RS, which is shown in Figure 12.
Generalized block diagram of photonics-based mmWave multiple-beam array feed network.
As follows from the Figure, the principal units are the laser sources (LS), optical modulators (OMs) performing the operation of electro-optical conversion, and the intensity of the output signal for which is controlled by the mmWave transmitter (TX). The output optical signals of the OMs are fed to a spatial distribution unit based on 8×8 optical Butler matrix. A photoreceiver unit (PRU) is connected to its outputs performing the operations of reverse optical-to-electrical conversion and amplification of the mmWave electrical signal to a level sufficient for reliable radio communication within the pico-cell of Figure 2, which is performed using the array antenna (AA). Note that the uplink channel between UT and RS is designed in a similar way and can be simplified using the reciprocity property of the Butler matrix.
In this work, the subject of the study is a mmWave multiple-beam array feed network, and the device of the study is an integrated optical Butler matrix. A tool for the computer simulation is the well-known commercial software VPIphotonics Design Suite™. In the course of the research, first of all, the accuracy of creating a mmWave 8×8 integrated OBM is checked. Then, the transmission quality of a mmWave multiple-beam array feed network using this OBM through the downlink channel for one of four sectors of the pico-cell RS (see Figures 2 and 7) is analyzed by the simulation in VPI and MATLAB software. Table 4 lists the reference data for the integrated OBM under study and the setup for its characterization. In addition, Table 5 lists the reference data for the array feed network under analysis.
Parameter | Value | |
---|---|---|
Number of optical inputs | 8 | |
Number of optical outputs | 8 | |
Band of RF carrier frequencies | 37.5–41.0 GHz | |
Input RF power | −11 to −26 dBm | |
Material platform for IPBF | TriPleX (Si3N4/SiO2) [35] | |
PIN photodiode | Responsivity | 0.92 A/W |
Dark current | 100 nA | |
3 dB bandwidth | 50 GHz | |
Optical input power | <3 mW | |
Laser source | Optical carrier | 193.1 THz |
Average power | 50 mW | |
Linewidth | 10 kHz | |
Optical modulator | Principle | Electro-absorption |
Modulation type | Intensity, double sideband | |
Spectral range | C band | |
Modulation index | 0.5 | |
Chirp factor | 0 |
The reference data for the OBM under study and the setup for its characterization.
Parameter | Value |
---|---|
Overall number of mobile UTs in the pico-cell | 72 |
Number of mobile UTs in one sector | 18 |
Number of PAA sectors | 4 (see Figure 7) |
Number of PAA beams in one sector | 6 |
Number of RF carrier frequencies | 6 |
Band of RF carrier frequencies | 38.0–40.5 |
Spacing of RF carrier frequencies | 0.5 GHz |
The reference data for the array feed network under analysis.
According to the outcomes in the previous section, when analyzing with the help of MATLAB software, before modeling the integrated OBM using VPIphotonics Design Suite environment, it is worth checking the phase shifts provided by the equivalent delay elements based on integrated waveguides. Figure 13 depicts the model that consists of one delay-less arm and the four arms with library models of TriPleX-based integrated waveguides (ng = 2.016) providing phase shift of 22.5°, 45°, 67.5°, and 90°, correspondingly (see Figure 3a for the reference), and setup for the simulation experiments. In addition, there are two instrumental library models in the setup. The first one imitates optical transmitting module including library models of laser source and optical modulator EA controlled by RF generator tuning in the band of 37.5–41.0 GHz. The second one imitates optical receiving module including library models of PIN photodiode and RF network analyzer recording amplitude and phase RF signal distribution at the photodiode output. One can see their relevant parameters in Table 4.
Equivalent delay elements of integrated OBM.
Then, Figure 14 depicts the model and setup of 8×8 OBM that in according to Figure 3a contains the models of quadrature optical hybrids (QOH) and library models of the straight waveguide as a phase shifter.
The model and setup for simulation of 8×8 PIC-based OBM.
Due to the lack of a suitable library model in this software tool, QOH is designed as a so-called “galactic” module G, containing, in accordance with a typical circuitry of an electrical analog, library models of two optical X-couplers and two optical straight waveguides with 90° phase shift. Both elements are carried out based on TriPleX technology. The internal scheme of the galactic module is presented in Figure 15. In addition, the setup of Figure 14 includes two instrumental library models, which are the same as in Figure 13.
The internal scheme for the galactic module G of a quadrature optical hybrid.
The module of Figure 15 contains a set of PIC library models, such as two Y-branches (YB), four straight waveguides (SW) including two SW for 90° phase shift, and two compensating SW with equivalent phase shift of 360°, six 90° waveguide bends (WB), one waveguide crossing element (WC), and two X-couplers (XC).
Finally, Figure 16 depicts the model and setup for the mmWave multiple-beam array feed network under study that contains the model of 8×8 OBM (see Figure 14) with six inputs because as shown in subsection 3.1, the extreme beams generated by the Butler matrix (A2 and A7 in Figure 3) have a significantly greater width and less directivity than the others do (see Figure 4). In addition, there are two instrumental library models in the setup. The first one imitates optical transmitting module including library models of laser source and six optical modulators controlled by six RF generators, the RF carriers of which are allocated in the band of 38.0–40.5 GHz. The second one imitates optical receiving module including library models of eight PIN photodiodes and eight RF network analyzers recording amplitude and phase RF signal distributions at the photodiode outputs. One can see their relevant parameters in Tables 4 and 5.
The model and setup for simulation of mmWave multiple-beam array feed network.
First, a simulation experiment for the delay elements of PIC-based OBM (see Figure 13) was carried out. Table 6 lists the results of phase error values for the center and two extreme frequencies of the RF generator.
Reference phase shift | −22.5° | −45° | −67.5° | −90° | |
Equivalent lengths (mm) | 0.215 | 0.437 | 0.662 | 0.883 | |
Error value | At the center RF | −0.1° | −0.2° | −0.4° | −0.5° |
At the lowest RF | −1° | −2° | −3° | −4° | |
At the upper RF | 1° | 2° | 3.1° | 4.1° |
The simulation results of phase error values at the outputs of OBM under test.
Then, a simulation experiment for the PIC-based 8×8 OBM (see Figure 14) was carried out when the output of EA was alternately connected to each input of OBM, and at each point, the RF generator was sequentially tuned to the frequency of each downlink channel. Table 7 exemplifies the simulation results of phase error values for channel A6 (see Figure 16) at the corresponding outputs.
Input RF (GHz) | Output | |||||||
---|---|---|---|---|---|---|---|---|
B1 | B5 | B2 | B6 | B3 | B7 | B4 | B8 | |
39.0 | 10.4 | 9.5 | 9.1 | 8.3 | 7 | 6.1 | 5.6 | 4.8 |
38.0 | 0 | 0 | 0.5 | 0.5 | 0 | 0 | 0.4 | 0.5 |
40.5 | −13.2 | −12.7 | −11 | −9.8 | −9.2 | −8 | −6.5 | −5.2 |
The phase error values for the center and two extreme frequencies of the RF generators.
Finally, a simulation experiment for the mmWave multiple-beam array feed network of Figure 16 was carried out. Figure 17 exemplifies the calculation results of the back-baffled normalized radiation patterns generated at the central and two extreme frequencies of the input RF band based on the data for the amplitude and phase distribution of the waveforms at the outputs of the OBM, previously obtained using the calculation in the VPI software.
Normalized radiation patterns for the mmWave multiple-beam array feed network under test (a) at 39.5 GHz (b) at 38 GHz (c) at 40.5 GHz.
The following outputs can be derived from our study:
According to Table 6, the phase error values for the tested delay elements of PIC-based OBM are not more than ±4°.
According to Table 7, the phase error values for 8×8 PIC-based OBM under test are not more than +10°/−13°.
The assessment showed that the approximate area of the PIC is near 270 mm2, which is approximately 50 times less than the size of the electronic counterpart [36].
According to Figure 17, the replacement of phase shifters with TTD elements led to a change in the position of the main lobe maximum and an increase in the relative level of side lobes. However, in comparison with the ideal radiation patterns of Figures 9–11, the azimuth position change does not exceed ±2°, and the increase in the level is not more than 2 dB.
In the chapter, we explored and demonstrated the effectiveness of using reconfigurable multiple-beam array feed network based on millimeter-wave integrated photonics beamformers for the phased array antennas, which were known for a long time in the radar technique, in the small cells of the incoming fifth-generation mobile communication systems. The study was carried out using a specific example of designing an 8×8 optical Butler matrix-based photonics-steered beamforming network of a transmitting phased array antenna for a pico-cell remote station operating in the Ka/V-band with a 16% fractional bandwidth allocated as a promising one for future 5G systems. For this goal, we firstly reviewed the specialties of millimeter-wave photonics technique in 5G wireless networks of Radio-over-Fiber architecture. Then, to determine the input data for subsequent design, a theoretical background of array antenna beam steering using ideal models of phase shifters and true-time delay lines was presented. Comparison of the two most frequently used approaches to the design of multiple-beam antenna arrays based on Butler or Blass matrices showed the advantage of the first option for operation in the remote station of a 5G pico-cell.
A brief analysis of the available integrated millimeter-wave optical beamforming networks showed that the direction is at the initial stage of its development. A distinctive feature of the optical Butler matrix for designing beamformers is the simple possibility of reconfiguring the antenna system in two directions: frequency reconfiguration due to the rearrangement of the RF synthesizer and spatial reconfiguration due to the introduction of a multichannel optical switch at the input. As a result of the simulation experiments performed using VPIphotonics Design Suite and MATLAB software, for both the integrated optical Butler matrix itself and the beamformer based on it, an acceptable quality of beams formation in a particular 5G pico-cell was obtained.
This work was supported by the Russian Foundation for Basic Research, Grants No. 17-57-10002 and No. 18-29-20083.
The authors declare the lack of “conflict of interest.”
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He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. 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His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. 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Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. 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