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Research article

Frequency of hereditary hemochromatosis gene mutations and their effects on iron overload among beta thalassemia patients of Chennai residents

  • Hereditary Hemochromatosis (HH) is an autosomal recessive disorder of iron metabolism associated with HFE gene mutations, characterized by increased iron absorption and accumulation leading to multi-organ damage caused by iron overload toxicity. Beta thalassemia is caused by a mutation in the human beta globin gene. Imbalanced production of globin chain results in beta thalassemia, where the unpaired alpha chains precipitates in red cell precursors leading to ineffective erythropoiesis and reduced RBC survival. Both HH and beta thalassemia condition results in rapid accumulation of iron lead to iron overload in tissues and organs. The study aims to analyze the frequency of HFE variants among beta thalassemia cases and their effect on iron overload. The frequency of three HFE variants C282Y, H63D, S65C was analyzed by PCR RFLP method among Beta Thalassemia Trait (BTT) (n = 203), Beta Thalassemia Major (BTM) (n = 19) and age and sex-matched control samples (n = 200). The present study furnished allele frequency of H63D variant in BTT, BTM and controls 8.13, 15.8 and 6% respectively. Ten out of 33 heterozygous H63D variants exhibited iron overload with higher ferritin levels indicating HFE variant might aggravate the absorption of iron. The C282Y variant was present in heterozygous state in 1 case among beta thalassemia carriers. The C282Y variant was absent among BTM and control cases. S65C HFE variant was absent in the present study. Iron overload was completely absent in the control cases among all three HFE genotypes. Hence it is inferred from the present investigation, analysis of HFE genes and iron status will remarkably help to reason out the probable reason behind the iron status and support in proper management of beta thalassemia cases.

    Citation: Bhuvana Selvaraj, Sangeetha Soundararajan, Shettu Narayanasamy, Ganesan Subramanian, Senthil Kumar Ramanathan. Frequency of hereditary hemochromatosis gene mutations and their effects on iron overload among beta thalassemia patients of Chennai residents[J]. AIMS Molecular Science, 2021, 8(4): 233-247. doi: 10.3934/molsci.2021018

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  • Hereditary Hemochromatosis (HH) is an autosomal recessive disorder of iron metabolism associated with HFE gene mutations, characterized by increased iron absorption and accumulation leading to multi-organ damage caused by iron overload toxicity. Beta thalassemia is caused by a mutation in the human beta globin gene. Imbalanced production of globin chain results in beta thalassemia, where the unpaired alpha chains precipitates in red cell precursors leading to ineffective erythropoiesis and reduced RBC survival. Both HH and beta thalassemia condition results in rapid accumulation of iron lead to iron overload in tissues and organs. The study aims to analyze the frequency of HFE variants among beta thalassemia cases and their effect on iron overload. The frequency of three HFE variants C282Y, H63D, S65C was analyzed by PCR RFLP method among Beta Thalassemia Trait (BTT) (n = 203), Beta Thalassemia Major (BTM) (n = 19) and age and sex-matched control samples (n = 200). The present study furnished allele frequency of H63D variant in BTT, BTM and controls 8.13, 15.8 and 6% respectively. Ten out of 33 heterozygous H63D variants exhibited iron overload with higher ferritin levels indicating HFE variant might aggravate the absorption of iron. The C282Y variant was present in heterozygous state in 1 case among beta thalassemia carriers. The C282Y variant was absent among BTM and control cases. S65C HFE variant was absent in the present study. Iron overload was completely absent in the control cases among all three HFE genotypes. Hence it is inferred from the present investigation, analysis of HFE genes and iron status will remarkably help to reason out the probable reason behind the iron status and support in proper management of beta thalassemia cases.


    Abbreviations

    BTH:

    Beta Thalassemia Homozygous; 

    BTM:

    Beta Thalassemia Major; 

    BTT:

    Beta Thalassemia Trait; 

    HBB:

    Hemoglobin Subunit Beta gene; 

    HH:

    Hereditary Hemochromatosis; 

    SNPs:

    Single Nucleotide Polymorphism; 

    WT:

    Wild type allele

    In [1,2], Carlitz initiated study of the degenerate Bernoulli and Euler polynomials and obtained some arithmetic and combinatorial results on them. In recent years, many mathematicians have drawn their attention to various degenerate versions of some old and new polynomials and numbers, namely some degenerate versions of Bernoulli numbers and polynomials of the second kind, Changhee numbers of the second kind, Daehee numbers of the second kind, Bernstein polynomials, central Bell numbers and polynomials, central factorial numbers of the second kind, Cauchy numbers, Eulerian numbers and polynomials, Fubini polynomials, Stirling numbers of the first kind, Stirling polynomials of the second kind, central complete Bell polynomials, Bell numbers and polynomials, type 2 Bernoulli numbers and polynomials, type 2 Bernoulli polynomials of the second kind, poly-Bernoulli numbers and polynomials, poly-Cauchy polynomials, and of Frobenius-Euler polynomials, to name a few [3,14,16,17,18] and the references therein. They have studied those polynomials and numbers with their interest not only in combinatorial and arithmetic properties but also in differential equations and certain symmetric identities [4,5] and references therein, and found many interesting results related to them [12,19,20,21,22,23,24,25,26,27,28]. It is remarkable that studying degenerate versions is not only limited to polynomials but also extended to transcendental functions.

    The Bernoulli polynomials of the second are defined by as follows (see [9,13])

    zlog(1+z)(1+z)x=q=0bq(x)zqq!. (1.1)

    When x=0, bq(0)=bq are called the Bernoulli numbers of the second kind.

    The degenerate exponential function exλ(z) is defined by (see [6,7,8,9,10,11,12,13,14,15,16,17,18,19])

    exλ(z)=(1+λz)xλ,eλ(z)=(1+λz)1λ,λC{0}. (1.2)

    We note that

    exλ(z)=q=0(x)q,λzqq!,(see[4,21]), (1.3)

    where (x)q,λ=x(xλ)(x(q1)λ),(q1), (x)0,λ=1.

    Note that

    limλ0exλ(z)=q=0xqzqq!=exz.

    The degenerate Bernoulli polynomials which are defined by Carlitz's as follows (see [1,2])

    zeλ(z)1exλ(z)=z(1+λz)1λ1(1+λz)xλ=q=0βq(x;λ)zqq!. (1.4)

    At the point x=0, βq(λ)=βq(0;λ) are called the degenerate Bernoulli numbers.

    Note that

    limλ0βq(x;λ)=Bq(x).

    The polylogarithm function is defined by

    Lik(x)=q=1xqqk(kZ,x∣<1),(see[7]). (1.5)

    Note that

    Li1(x)=q=1xqq=log(1x). (1.6)

    The poly-Bernoulli polynomials of the second are defined by (see [13])

    Lik(1ez)log(1+z)(1+z)x=q=0b(k)q(x)zqq!. (1.7)

    In the case when x=0, b(k)q=b(k)q(0) are called the poly-Bernoulli numbers of the second kind.

    The modified degenerate polyexponential function is defined by (see [14])

    Eik,λ(x)=q=1(1)q,λ(q1)!qkxq. (1.8)

    It is noteworthy to mention that

    Ei1,λ(x)=q=1(1)q,λq!xq=eλ(x)1.

    The degenerate poly-Genocchi polynomials which are defined by Kim et al. as follows (see [14])

    2Eik,λ(logλ(1+z))eλ(z)+1exλ(z)=q=0G(k)q,λ(x)zqq!(kZ). (1.9)

    When x=0, G(k)q,λ=G(k)q,λ(0) are called the degenerate poly-Genocchi numbers.

    For λR, Kim-Kim defined the degenerate version of the logarithm function, denoted by logλ(1+t) as follows (see [11])

    logλ(1+z)=q=1λλ1(1)q,1/λzqq!, (1.10)

    being the inverse of the degenerate version of the exponential function eλ(z) as has been shown below

    eλ(logλ(z))=logλ(eλ(z))=z.

    It is noteworthy to mention that

    limλ0logλ(1+z)=q=1(1)q1zqq!=log(1+z).

    The degenerate Daehee polynomials are defined by (see [15])

    logλ(1+z)z(1+z)x=q=0Dq,λ(x)zqq!. (1.11)

    In the case when x=0, Dq,λ=Dq,λ(0) denotes the degenerate Daehee numbers.

    The degenerate Bernoulli polynomials of the second kind which are defined by Kim et al. as follows (see [9])

    zlogλ(1+z)(1+z)x=q=0bq,λ(x)zqq!. (1.12)

    When x=0, bq,λ=bq,λ(0) are called the degenerate Bernoulli numbers of the second kind.

    Note here that limλ0bq,λ(x)=bq(x),(q0).

    The degenerate Stirling numbers of the first kind are defined by

    1k!(logλ(1+z))k=q=kS1,λ(q,k)zqq!(k0),(see[11,12]). (1.13)

    It is noticed that

    limλ0S1,λ(q,k)=S1(q,k),

    are the Stirling numbers of the first kind presented by

    1k!(log(1+z))k=q=kS1(q,k)zqq!(k0),(see[7,17]).

    The degenerate Stirling numbers of the second kind are defined by (see [8])

    1k!(eλ(z)1)k=q=kS2,λ(q,k)zqq!(k0). (1.14)

    It is clear that

    limλ0S2,λ(q,k)=S2(q,k),

    are the Stirling numbers of the second kind specified by

    1k!(ez1)k=q=kS2(q,k)zqq!(k0),(see[128]).

    Motivated by the works of Kim et al. [11,14], in this paper, we study the type 2 degenerate poly-Bernoulli polynomials of the second kind arising from modified degenerate polyexponential function and obtain some related identities and explicit expressions. Also, we establish the type 2 degenerate unipoly-Bernoulli polynomials of the second kind attached to an arithmetic function by using modified degenerate polyexponential function and discuss some properties of them.

    Here, the type 2 degenerate poly-Bernoulli polynomials of the second kind are defined by using the modified degenerate polyexponential function which is called the degenerate poly-Bernoulli polynomials of the second kind as

    Eik,λ(logλ(1+z))logλ(1+z)(1+z)x=j=0Pb(k)j,λ(x)zjj!,(kZ). (2.1)

    When x=0, Pb(k)j,λ=Pb(k)j,λ(0) are called the type 2 degenerate poly-Bernoulli numbers of the second kind.

    Note that

    limλ0Eik,λ(logλ(1+z))logλ(1+z)(1+z)x=j=0limλ0Pb(k)j,λ(x)zjj!
    =Eik(log(1+z))log(1+z)(1+z)x=j=0Pb(k)j(x)zjj!,(kZ), (2.2)

    where Pb(k)j(x) are called the type 2 poly-Bernoulli polynomials of the second kind (see [9]).

    First, we note that

    Eik,λ(logλ(1+z))=q=1(1)q,λ(logλ(1+z))q(q1)!qk
    =q=0(1)q+1,λ(logλ(1+z))q+1(q+1)kq!
    =q=0(1)q+1,λ(q+1)k11(q+1)!(logλ(1+z))q+1
    =q=0(1)q+1,λ(q+1)k1r=q+1S1,λ(r,q+1)zrr!. (2.3)

    By making use of (2.1) and (2.3), we see that

    zlogλ(1+z)(1+z)xEik,λ(logλ(1+z))
    =zlogλ(1+z)(1+z)xq=0(1)q+1,λ(q+1)k1r=qS1,λ(r+1,q+1)r+1zrr!
    =j=0bj,λ(x)zjj!q=0(1)q+1,λ(q+1)k1r=qS1,λ(r+1,q+1)r+1zrr!
    =j=0(jr=0(jr)rq=0(1)q+1,λ(q+1)k1S1,λ(r+1,q+1)r+1bjr,λ(x))zjj!. (2.4)

    Therefore, by (2.3) and (2.4), we obtain the following theorem.

    Theorem 2.1. For kZ and j0, we have

    Pb(k)j,λ(x)=jr=0(jr)rq=0(1)q+1,λ(q+1)k1S1,λ(r+1,q+1)r+1bjr,λ(x).

    Corollary 2.1. Putting k=1 in Theorem 2.1 yields

    Pbj,λ(x)=jr=0(jr)rq=0(1)q+1,λS1,λ(r+1,q+1)r+1bjr,λ(x).

    Let 1kZ. For sC, the function χk,λ(s) is given as

    χk,λ(s)=1Γ(s)0zs1logλ(1+z)Eik,λ(logλ(1+z))dz. (2.5)

    From Eq (2.5), we have

    χk,λ(s)=1Γ(s)0zs1logλ(1+z)Eik,λ(logλ(1+z))dz
    =1Γ(s)10zs1logλ(1+z)Eik,λ(logλ(1+z))dz
    +1Γ(s)1zs1logλ(1+z)Eik,λ(logλ(1+z))dz. (2.6)

    For any sC, the second integral is absolutely convergent and thus, the second term on the r.h.s. vanishes at non-positive integers. That is,

    limsm|1Γ(s)1zs1logλ(1+z)Eik,λ(logλ(1+z))dz|1Γ(m)M=0. (2.7)

    On the other hand, the first integral in Eq (2.7), for (s)>0 can be written as

    1Γ(s)r=0Pb(k)r,λr!1s+r,

    which defines an entire function of s. Thus, we may include that χk,λ(s) can be continued to an entire function of s.

    Further, from (2.6) and (2.7), we obtain

    χk,λ(m)=limsm1Γ(s)10zs1logλ(1+z)Eik,λ(logλ(1+z))dz
    =limsm1Γ(s)10zs1r=0Pb(k)r,λzrr!dz=limsm1Γ(s)r=0Pb(k)r,λs+r1r!
    =+0++0+limsm1Γ(s)1s+mPb(k)m,λm!+0+0+ (2.8)
    =limsm(Γ(1s)sinπsπ)s+mPb(k)m,λm!=Γ(1+m)cos(πm)Pb(k)m,λm!
    =(1)mPb(k)m,λ.

    In view of (2.8), we obtain the following theorem.

    Theorem 2.2. Let k1 and mN{0}, sC, we have

    χk,λ(m)=(1)mPb(k)m,λ.

    Using (1.8), we observe that

    ddxEik,λ(logλ(1+x))=ddxj=1(1)j,λ(logλ(1+x))jjk(j1)!
    =(1+x)λ1logλ(1+x)j=1(1)j,λ(logλ(1+x))jjk1(j1)!=(1+x)λ1logλ(1+x)Eik1,λ(logλ(1+x)). (2.9)

    Thus, by (2.9), for k2, we get

    Eik,λ(logλ(1+x))=x0(1+z)λ1log(1+z)Eik1,λ(logλ(1+z))dz
    =x0(1+z)λ1logλ(1+z)z0(1+z)λ1logλ(1+z)z0(1+z)λ1logλ(1+z)(k2)timesdzdz
    ×Ei1,λ(logλ(1+z))dzdz
    =x0(1+z)λ1logλ(1+z)z0(1+z)λ1logλ(1+z)z0(1+z)λ1logλ(1+z)(k2)timeszdzdz. (2.10)

    From (2.1) and (2.10), we get

    j=0Pb(k)j,λxjj!=Eik,λ(logλ(1+x))logλ(1+x)=1logλ(1+x)
    ×x0(1+z)λ1logλ(1+z)z0(1+z)λ1logλ(1+z)z0(k2)times(1+z)λ1logλ(1+z)zdzdz. (2.11)
    =xlogλ(1+x)q=0q1++qk1=q(qq1,,qk1)
    ×bq1,λ(λ1)q1+1bq2,λ(λ1)q1+q2+1bqk1,λ(λ1)q1++qk1+1xqq!
    =j=0jq=0(jq)q1++qk1=q(qq1,,qk1)bjq,λ
    ×bq1,λ(λ1)q1+1bq2,λ(λ1)q1+q2+1bqk1,λ(λ1)q1++qk1+1xjj!. (2.12)

    Therefore, by (2.12), we obtain the following theorem.

    Theorem 2.3. For jN and kZ, we have

    Pb(k)j,λ=jq=0(jq)q1++qk1=q(qq1,,qk1)bjq,λ
    ×bq1,λ(λ1)q1+1bq2,λ(λ1)q1+q2+1bqk1,λ(λ1)q1++qk1+1.

    Corollary 2.2. Taking k=2 in Theorem 2.3 yields

    Pb(2)j,λ=jq=0(jq)bq,λ(λ1)q+1bjq,λ.

    Replacing z by eλ(z)1 in (2.1), we get

    q=0Pb(k)q,λ(x)(eλ(z)1)qq!=Eik,λ(z)zexλ(z)
    =j=0(x)j,λzjj!r=0(1)r+1,λzr(r+1)kr!=j=0(jr=0(jr)(1)r+1,λ(x)jr,λ(r+1)k)zjj!. (2.13)

    On the other hand,

    q=0Pb(k)q,λ(x)(eλ(z)1)qq!=q=0Pb(k)q,λ(x)j=qS2,λ(j,q)zjj!
    =j=0(jq=0Pb(k)q,λ(x)S2,λ(j,q))zjj!. (2.14)

    In view of (2.13) and (2.14), we get the following theorem.

    Theorem 2.4. For kZ and j0, we have

    jq=0Pb(k)q,λ(x)S2,λ(j,q)=jr=0(jr)(1)r+1,λ(x)jr,λ(r+1)k.

    By using (2.1), we get

    j=1[Pb(k)j,λ(x+1)Pb(k)j,λ(x)]zjj!=Eik,λ(logλ(1+z))logλ(1+z)(1+z)x+1Eik,λ(logλ(1+z))logλ(1+z)(1+z)x
    =zEik,λ(logλ(1+z))logλ(1+z)(1+z)x=(zlogλ(1+z)(1+z)x)(Eik,λ(logλ(1+z)))
    =(j=0bj,λ(x)zjj!)(q=1(1)q,λ(logλ(1+z))q(q1)!qk)
    =(j=0bj,λ(x)zjj!)(q=1(1)q,λ(logλ(1+z))q(q1)!qk)
    =(j=1bj,λ(x)zjj!)(r=1rq=1(1)q,λqk1S1,λ(r,q)zrr!)
    =j=1(jr=1(jr)rq=1(1)q,λqk1S1,λ(r,q)bjr,λ(x))zjj!. (2.15)

    Therefore, by comparing the coefficients on both sides of (2.15), we obtain the following theorem.

    Theorem 2.5. For j0, we have

    Pb(k)j,λ(x+1)Pb(k)j,λ(x)=jr=1(jr)rq=1(1)q,λqk1S1,λ(r,q)bjr,λ(x).

    By making use of (1.3) and (2.1), we have

    j=0Pb(k)j,λ(x+η)zjj!=Eik,λ(logλ(1+z))logλ(1+z)(1+z)x+η
    =Eik,λ(logλ(1+z))logλ(1+z)(1+z)x(1+z)η=(j=0Pb(k)j,λ(x)zjj!)(q=0(η)qzqq!)
    =j=0(jq=0(jq)Pb(k)jq,λ(x)(η)q)zjj!. (2.16)

    Therefore, by Eq (2.16), we obtain the following theorem.

    Theorem 2.6. For j0, we have

    Pb(k)j,λ(x+η)=jq=0(jq)Pb(k)jq,λ(x)(η)q.

    By using (2.1), we have

    Eik,λ(logλ(1+z))logλ(1+z)=j=0Pb(k)j,λzjj!
    Eik,λ(logλ(1+z))=logλ(1+z)j=0Pb(k)j,λzjj!
    Eik,λ(logλ(1+z))z=logλ(1+z)zj=0Pb(k)j,λzjj!
    =(q=0Dq,λtqq!)(j=0Pb(k)j,λzjj!)
    =j=0(jq=0(jq)Pb(k)jq,λDq,λ)zjj!. (2.17)

    On the other hand,

    Eik,λ(logλ(1+z))z=1zq=1(1)q,λ(logλ(1+z))q(q1)!qk
    =1zq=0(1)q+1,λ(logλ(1+z))q+1qk!(q+1)
    =1zq=0(1)q+1,λ(q+1)k11(q+1)!(logλ(1+z))q+1
    =j=0(jq=0(1)q+1,λ(q+1)k1S1,λ(j+1,q+1)j+1)zjj!. (2.18)

    Thus, by equations (2.17) and (2.18), we get the following theorem.

    Theorem 2.7. For j0, we have

    jq=0(jq)Pb(k)jq,λDq,λ=jq=0(1)q+1,λ(q+1)k1S1,λ(j+1,q+1)j+1.

    From (2.1), we have

    n=0Pb(k)j,λ(x)zjj!=Eik,λ(logλ(1+z))logλ(1+z)(1+z)x
    =Eik,λ(logλ(1+z))logλ(1+z)exλ(logλ(1+z))
    =j=0Pb(k)j,λ(x)zjj!q=0(x)q,λr=qS1,λ(r,q)zrr!
    =j=0Pb(k)j,λ(x)zjj!r=0rq=0(x)q,λS1,λ(r,q)zrr!
    =j=0(jr=0(jr)Pb(k)jr,λ(x)q,λS1,λ(r,q))zjj!. (2.19)

    Therefore, by comparing the coefficients on both sides of (2.19), we obtain the following theorem.

    Theorem 2.8. For j0, we have

    Pb(k)j,λ(x)=jr=0(jr)Pb(k)jr,λ(x)q,λS1,λ(r,q).

    Let p be any arithmetic real or complex valued function defined on N. Kim-Kim [7] presented the unipoly function attached to polynomials p(x) as

    uk(x|p)=j=1p(j)jkxn,(kZ). (3.1)

    Moreover,

    uk(x|1)=j=1xjjk=Lik(x),(see[10,14]), (3.2)

    represent the known ordinary polylogarithm function.

    Dolgy and Khan [3] introduced the degenerate unipoly function attached to polynomials p(x) are considered as follows

    uk,λ(x|p)=j=1p(j)(1)j,λxjjk. (3.3)

    We see that

    uk,λ(x|1Γ)=Eik,λ(x),(see[14]) (3.4)

    is the modified degenerate polyexponential function.

    Now, we introduce the degenerate unipoly-Bernoulli polynomials of the second kind attached to polynomials p(x) as

    uk,λ(logλ(1+z)|p)logλ(1+z)(1+z)x=j=0Pb(k)j,λ,p(x)zjj!. (3.5)

    When x=0, Pb(k)j,λ,p=Pb(k)j,λ,p(0) are called the degenerate unipoly-Bernoulli numbers of the second kind attached to p.

    If we take p(j)=1Γ(j). Then, we have

    j=0Pb(k)j,λ,1Γ(x)zjj!=1logλ(1+z)(1+z)xuk,λ(logλ(1+z)|1Γ)
    =1logλ(1+z)(1+z)xq=1(1)q,λ(logλ(1+z))qqk(q1)!. (3.6)

    For k=1, we have

    j=0Pb(1)j,λ,1Γ(x)zjj!=1logλ(1+z)(1+z)xq=1(1)q,λ(logλ(1+z))qq!=zlogλ(1+z)(1+z)x. (3.7)

    Thus, we have

    Pb(1)j,λ,1Γ(x)=bj,λ(x),(j0). (3.8)

    By making use of (1.12) and (3.3), we note that

    uk,λ(logλ(1+z)|p)=q=1p(q)(1)q,λ(logλ(1+z))qqk
    =q=1p(q)(1)q,λ(logλ(1+z))qqkq!q!
    =q=1p(q)(1)q,λq!qk(logλ(1+z))qq!
    =q=1p(q)(1)q,λq!qkr=qS1,λ(r,q)zrr!
    =r=1(rq=1p(q)(1)q,λq!qkS1,λ(r,q))zrr!.

    Thus, we have the required result.

    Lemma 3.1. For kZ, we have

    uk,λ(logλ(1+z)|p)=r=1(rq=1p(q)(1)q,λq!qkS1,λ(r,q))zrr!.

    Recalling from (3.5), we have

    j=0Pb(k)j,λ,p(x)zjj!=1logλ(1+z)(1+z)xuk,λ(logλ(1+z)|p)
    =1logλ(1+z)(1+z)xq=1(1)q,λp(q)qk(logλ(1+z))q
    =1logλ(1+z)(1+z)xq=0(1)q+1,λp(q+1)(q+1)k(logλ(1+z))q+1
    =1logλ(1+z)(1+z)xq=0(1)q+1,λp(q+1)(q+1)!(q+1)kr=q+1Sr,λ(r,q+1)zrr!
    =zlogλ(1+z)(1+z)xq=0(1)q+1,λp(q+1)(q+1)!(q+1)kr=qS1,λ(r+1,q+1)r+1zrr!
    =j=0bj,λ(x)zjj!r=0(rq=0(1)q+1,λp(q+1)(q+1)!(q+1)kS1,λ(r+1,q+1)r+1)zrr!
    =j=0(jr=0rq=0(jr)(1)q+1,λp(q+1)(q+1)!(q+1)kS1,λ(r+1,q+1)r+1bjr,λ(x))zjj!. (3.9)

    Therefore, by comparing the coefficients on both sides of (3.9), we obtain the following theorem.

    Theorem 3.1. For j0 and kZ. Then

    Pb(k)j,λ,p(x)=jr=0rq=0(jr)(1)q+1,λp(q+1)(q+1)!(q+1)kS1,λ(r+1,q+1)r+1bjr,λ(x).

    Moreover,

    Pb(k)j,λ,1Γ(x)=jr=0rq=0(jr)bjr,λ(x)(q+1)k1S1,λ(r+1,q+1)r+1.

    Using (3.5), we have

    j=0Pb(k)j,λ,p(x)zjj!=1logλ(1+z)uk,λ(logλ(1+z)|p)(1+z)x
    =uk,λ(logλ(1+z)|p)logλ(1+z)j=0(x)jzjj!
    =i=0Pb(k)i,λ,pzii!j=0(x)jzjj!
    =j=0(ji=0(ji)Pb(k)i,λ,p(x)ji)zjj!. (3.10)

    Upon comparing the coefficients on both sides of Eq (3.10), we get the following theorem.

    Theorem 3.2. For j0 and kZ. Then

    Pb(k)j,λ,p(x)=ji=0(ji)Pb(k)i,λ,p(x)ji.

    By making use of (1.11), (1.12) and (3.5), we have

    j=0Pb(k)j,λ,pzjj!=1logλ(1+z)uk(logλ(1+z)|p)
    =1logλ(1+z)q=1(1)q,λp(q)qk(logλ(1+z))q
    =q=0(1)q,λp(q+1)(q+1)k(logλ(1+z))q+1
    =zlogλ(1+z)logλ(1+z)zq=0(1)q+1,λp(q+1)q!(q+1)k(logλ(1+z))qq!
    =j=0Dj,λzjj!i=0bi,λzii!q=0(1)q+1,λp(q+1)q!(q+1)kr=qS1,λ(r,q)zrr!
    =j=0Dj,λzjj!i=0bi,λzii!r=0rq=0(1)q+1,λp(q+1)q!(q+1)kS1,λ(r,q)zrr!
    =j=0ji=0(ji)Dji,λbi,λzjj!r=0rq=0(1)q+1,λp(q+1)q!(q+1)kS1,λ(r,q)zrr!
    =j=0(jr=0rq=0jri=0(jri)(jr)Djir,λbi,λ(1)q+1,λp(q+1)q!(q+1)kS1,λ(r,q))zjj!. (3.11)

    Thus, by comparing the coefficients on both sides of (3.11), we obtain the following theorem.

    Theorem 3.3. For j0 and kZ. Then

    Pb(k)j,λ,p=jr=0rq=0jri=0(jri)(jr)Djir,λbi,λ(1)q+1,λp(q+1)q!(q+1)kS1,λ(r,q).

    In this section, certain numerical computations are done to calculate certain zeros of the degenerate poly-Bernoulli polynomials of the second kind and show some graphical representations. The first five members of Pb(k)j,λ(x) are calculated and given as:

    Pb(k)0,λ(x)=1,Pb(k)1,λ(x)=12+x18log3log818log3,Pb(k)2,λ(x)=12+x2+1081(log3)2+18log3x4log3log818log3xlog814log3,Pb(k)3,λ(x)=14+2x3x22+x3516(log3)31027(log3)2+10x27(log3)214log3+3x4log33x28log3+log8116log33x2log818log3,Pb(k)4,λ(x)=126x+8x24x3+x4+176125(log3)4+158(log3)35x4(log3)3+11081(log3)220x9(log3)2+20x227(log3)2+34log311x4log3+9x24log3x32log3log818log3+3x2log814log3x3log812log3.

    To show the behavior of Pb(k)j,λ(x), we display the graph Pb(k)j,λ(x) for k=4 and λ=3, this graph is presented in Figure 1.

    Figure 1.  Graph of Pb(k)j,λ(x).

    Next, the approximate solutions of Pb(k)j,λ(x)=0 when k=4 and λ=3, are calculated and listed in Table 1.

    Table 1.  Approximate solutions of Pb(k)j,λ(x)=0.
    j Real zeros Complex zeros
    1 0.11378 -
    2 0.212959,1.0146 -
    3 0.468628,0.788431,2.08428 -
    4 2.27482,3.00114 0.5895820.515659i,0.589582+0.515659i
    5 4.09322 0.4709670.872952i,0.470967+0.872952i,
    2.766870.464588i,2.76687+0.464588i
    6 4.47754,4.94352 0.2705091.2071i,0.270509+1.2071i
    2.86031.06554i,2.8603+1.06554i
    7 6.12953 0.004072371.52417i,0.00407237+1.52417i,
    2.85441.67974i,2.8544+1.67974i
    4.983140.749479i,4.98314+0.749479i
    8 - 0.3448721.82511i,0.344872+1.82511i,
    2.75372.30093i,2.7537+2.30093i,
    5.212621.46596i,5.21262+1.46596i,
    6.833670.248836i,6.83367+0.248836i

     | Show Table
    DownLoad: CSV

    The zeros of Pb(k)j,λ(x) for λC,j=12 are plotted in Figure 2.

    Figure 2.  Zeros of Pb(k)12,λ(x).

    The stacking structure of approximate zeros of Pb(k)j,λ(x)=0 for λ=4,j=1,2,...,12 is given in Figure 3.

    Figure 3.  Stacking structure of zeros Pb(k)j,λ(x).

    In this article, we introduced the type 2 degenerate poly-Bernoulli polynomials of the second kind and derived many related interesting properties. Furthermore, we defined the degenerate unipoly Bernoulli polynomials of the second kind and established some considerable results. Finally, certain related beautiful zeros and graphs are shown.

    The authors would like to express the gratitude to Deanship of Scientific Research at King Khalid University, Saudi Arabia for providing funding research group under the research grant number R G P.1/162/42.

    The authors declare no conflict of interest.


    Acknowledgments



    The authors thank HOD of Zoology, Principal, Pachaiyappa's college, Chennai, for their support. The authors are very grateful to the authorities of Hitech Diagnostic Centre, Kilpauk, Chennai for their support and valuable suggestions.

    Conflict of interest



    Authors declare no conflict of interest in this manuscript.

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