Loading [MathJax]/jax/output/SVG/jax.js
Research article Special Issues

Cranberry (Vaccinium macrocarpon) dietary supplementation and fecal microbiota of Wistar rats

  • Received: 06 May 2021 Accepted: 29 June 2021 Published: 30 June 2021
  • Cranberry (Vaccinium macrocarpon) dietary supplementation can help prevention of urinary tract infections through the supply of proanthocyanidin-type polyphenols (PAC). The main uropathogenic bacteria are members of the intestinal microbiota. A randomized cross-over experiment was done to investigate whether cranberry dietary supplementation affects concentrations of thermotolerant coliforms, Enterococcus spp. and Lactobacillus spp. in rat faeces. Thirteen rats, housed in individual cages, received successively two diets as pellets during 7 days each: a standard diet without polyphenols and the standard diet supplemented with cranberry powder containing 10.9 mg/100 g of PAC. There was a 7 days wash-out period in between with standard diet without polyphenols. Body weight and feed intake were recorded. Faeces were collected on the last day of treatment, and crushed to count the different bacterial populations using the most probable number method. Thermotolerant coliforms were grown in BGBLB tubes and on MacConkey agar. Enterococcus spp. were grown in Rothe and Litsky broths and on KF Streptococcus agar. Lactobacillus spp. were grown in Man Rogosa Sharpe broth. Body mass gains were not affected by cranberry supplementation. This is consistent with equal food intake, cranberry powder not providing significant energy supplement. Cranberry dietary supplementation was associated with changes in fecal concentrations of thermotolerant coliforms, and Enterococcus spp. in some rats, but did not induce significant changes in bacterial fecal concentrations in a global population of 13 rats. In conclusion, we did not observe any significant effect of dietary cranberry supplementation on the fecal microbiota of Wistars rats for a 7-day diet.

    Citation: Rayane Chettaoui, Gilles Mayot, Loris De Almeida, Patrick Di Martino. Cranberry (Vaccinium macrocarpon) dietary supplementation and fecal microbiota of Wistar rats[J]. AIMS Microbiology, 2021, 7(2): 257-270. doi: 10.3934/microbiol.2021016

    Related Papers:

    [1] Meilan Qiu, Dewang Li, Zhongliang Luo, Xijun Yu . Huizhou GDP forecast based on fractional opposite-direction accumulating nonlinear grey bernoulli markov model. Electronic Research Archive, 2023, 31(2): 947-960. doi: 10.3934/era.2023047
    [2] Qiang Guo, Zimeng Zhou, Jie Li, Fengwei Jing . Mechanism- and data-driven algorithms of electrical energy consumption accounting and prediction for medium and heavy plate rolling. Electronic Research Archive, 2025, 33(1): 381-408. doi: 10.3934/era.2025019
    [3] Yi Deng, Zhanpeng Yue, Ziyi Wu, Yitong Li, Yifei Wang . TCN-Attention-BIGRU: Building energy modelling based on attention mechanisms and temporal convolutional networks. Electronic Research Archive, 2024, 32(3): 2160-2179. doi: 10.3934/era.2024098
    [4] Sanqiang Yang, Zhenyu Yang, Leifeng Zhang, Yapeng Guo, Ju Wang, Jingyong Huang . Research on deformation prediction of deep foundation pit excavation based on GWO-ELM model. Electronic Research Archive, 2023, 31(9): 5685-5700. doi: 10.3934/era.2023288
    [5] Ruyang Yin, Jiping Xing, Pengli Mo, Nan Zheng, Zhiyuan Liu . BO-B&B: A hybrid algorithm based on Bayesian optimization and branch-and-bound for discrete network design problems. Electronic Research Archive, 2022, 30(11): 3993-4014. doi: 10.3934/era.2022203
    [6] Weishang Gao, Qin Gao, Lijie Sun, Yue Chen . Design of a novel multimodal optimization algorithm and its application in logistics optimization. Electronic Research Archive, 2024, 32(3): 1946-1972. doi: 10.3934/era.2024089
    [7] Yiwei Wu, Yadan Huang, H Wang, Lu Zhen . Nonlinear programming for fleet deployment, voyage planning and speed optimization in sustainable liner shipping. Electronic Research Archive, 2023, 31(1): 147-168. doi: 10.3934/era.2023008
    [8] Ruini Zhao . Nanocrystalline SEM image restoration based on fractional-order TV and nuclear norm. Electronic Research Archive, 2024, 32(8): 4954-4968. doi: 10.3934/era.2024228
    [9] Shuang Zhang, Songwen Gu, Yucong Zhou, Lei Shi, Huilong Jin . Energy efficient resource allocation of IRS-Assisted UAV network. Electronic Research Archive, 2024, 32(7): 4753-4771. doi: 10.3934/era.2024217
    [10] Lijie Liu, Xiaojing Wei, Leilei Wei . A fully discrete local discontinuous Galerkin method based on generalized numerical fluxes to variable-order time-fractional reaction-diffusion problem with the Caputo fractional derivative. Electronic Research Archive, 2023, 31(9): 5701-5715. doi: 10.3934/era.2023289
  • Cranberry (Vaccinium macrocarpon) dietary supplementation can help prevention of urinary tract infections through the supply of proanthocyanidin-type polyphenols (PAC). The main uropathogenic bacteria are members of the intestinal microbiota. A randomized cross-over experiment was done to investigate whether cranberry dietary supplementation affects concentrations of thermotolerant coliforms, Enterococcus spp. and Lactobacillus spp. in rat faeces. Thirteen rats, housed in individual cages, received successively two diets as pellets during 7 days each: a standard diet without polyphenols and the standard diet supplemented with cranberry powder containing 10.9 mg/100 g of PAC. There was a 7 days wash-out period in between with standard diet without polyphenols. Body weight and feed intake were recorded. Faeces were collected on the last day of treatment, and crushed to count the different bacterial populations using the most probable number method. Thermotolerant coliforms were grown in BGBLB tubes and on MacConkey agar. Enterococcus spp. were grown in Rothe and Litsky broths and on KF Streptococcus agar. Lactobacillus spp. were grown in Man Rogosa Sharpe broth. Body mass gains were not affected by cranberry supplementation. This is consistent with equal food intake, cranberry powder not providing significant energy supplement. Cranberry dietary supplementation was associated with changes in fecal concentrations of thermotolerant coliforms, and Enterococcus spp. in some rats, but did not induce significant changes in bacterial fecal concentrations in a global population of 13 rats. In conclusion, we did not observe any significant effect of dietary cranberry supplementation on the fecal microbiota of Wistars rats for a 7-day diet.



    In this paper we study a class of third order dissipative differential operators. Dissipative operators are of general interest in mathematics, for example in the study of the Cauchy problems in partial differential equations and in infinite dimensional dynamical systems. Even order dissipative operators and the boundary conditions generating them have been investigated by many authors, see [1,2,3,4,5,6,7,8,9] and their references. Odd order problems arise in physics and other areas of applied mathematics and have also been studied, e.g., in [10,11,12,13,14,16,15].

    Non-self-adjointness of spectral problems can be caused by one or more of the following factors: the non-linear dependence of the problems on the spectral parameter, the non-symmetry of the differential expressions used, and the non-self-adjointness of the boundary conditions(BCs) involved. Many scholars focus on the non-self-adjoint differential operators caused by non-self-adjoint BCs. Bairamov, Uğurlu, Tuna and Zhang et al. considered the even order dissipative operators and their spectral properties in [5,6,7,8,9], respectively. However, these results all restricted in some special boundary conditions. In 2012, Wang and Wu [2] found all boundary conditions which generate dissipative operators of order two and proved the completeness of eigenfunctions and associated functions for these operators. In [3] the authors studied a class of non-self-adjoint fourth order differential operators in Weyl's limit circle case with general separated BCs, and they proved the completeness of eigenfunctions and associated functions. Here we find a class of such general conditions for the third order case, which may help to classify the dissipative boundary conditions of third order differential operators.

    As is mentioned above, there are many results for dissipative Sturm-Liouville operators and fourth order differential operators, however, there are few studies on the odd order dissipative operators. Thus, in this paper, we study a class of non-self-adjoint third order differential operators generated by the symmetric differential expression in Weyl's limit circle case together with non-self-adjoint BCs.

    This paper is organized as follows. In Section 2 we introduce third order dissipative operators and develop their properties. Section 3 discusses some general properties of dissipative operators in Hilbert space and some particular properties of the third order operators studied here. The completeness of eigenfunctions and associated functions is given in Section 4. Brief concluding remarks on the obtained results in this present paper and the comparison with other works are reported in Section 5.

    Consider the third order differential expression

    l(u)=iu(3)+q(x)u,xI=(a,b), (2.1)

    where a<b+, q(x) is a real-valued function on I and q(x)L1loc(I). Suppose that the endpoints a and b are singular, i.e., a= or for any c(a,b) q(x) is not absolutely integrable in (a,c] (the same statement holds for endpoint b), and Weyl's limit-circle case holds for the differential expression l(u), i.e., the deficiency indices at both endpoints are (3,3).

    Let

    Ω={uL2(I):u,u,uACloc(I),l(u)L2(I)}.

    For all u,vΩ, we set

    [u,v]x=iu¯viu¯v+iu¯v=R¯v(x)QCu(x),xI,

    where the bar over a function denotes its complex conjugate, and

    Q=(00i0i0i00), Rv(x)=(v(x),v(x),v(x)), C¯v(x)=Rv(x),

    and Rv(x) is the complex conjugate transpose of Rv(x).

    Let ψj(x,λ),j=1,2,3 represent a set of linearly independent solutions of the equation l(u)=λu, where λ is a complex parameter. Then ψj(x,0),j=1,2,3 represent the linearly independent solutions of the equation l(u)=0. From Naimark's Patching Lemma, we can choose the solutions above mentioned satisfying any initial conditions, for future conveniences, here we set zj(x)=ψj(x,0),j=1,2,3 satisfying the condition

    ([zj,zk]a)=J,j,k=1,2,3, (2.2)

    where

    J=(0i0i0000i).

    From [17], the solutions zj(x),j=1,2,3 as described above exist and are linearly independent. Since Weyl's limit-circle case holds for the differential expression l(u) on I, the solutions zj(x),j=1,2,3 must belong to L2(I). Furthermore, because zj(x),j=1,2,3 are solutions of equation l(u)=0, thus according to the Green's formula, it is easy to get [zj,zk]x=const for any xI, hence for any xI,([zj,zk]x)=J.

    Let l(u)=λu and we consider the boundary value problem consisting of the differential equation

    iu(3)+q(x)u=λu,xI, (2.3)

    and the boundary conditions:

    l1(u)=[u,z1]a+γ1[u,z2]a+γ2[u,z3]a=0, (2.4)
    l2(u)=¯γ2[u,z2]a+[u,z3]a+r¯γ4e2iθ[u,z2]b+re2iθ[u,z3]b=0, (2.5)
    l3(u)=[u,z1]b+γ3[u,z2]b+γ4[u,z3]b=0, (2.6)

    where λ is a complex parameter, r is a real number with |r|1, θ(π,π], γj,j=1,2,3,4 are complex numbers with 2γ1|γ2|2 and 2γ3|γ4|2, here denotes the real part of a value.

    In L2(I), let us define the operator L as Lu=l(u) on D(L), where the domain D(L) of L is given by

    D(L)={uΩ:lj(u)=0,j=1,2,3}.

    Let Ψ(x) be the Wronskian matrix of the solutions zj(x),j=1,2,3 in I, then ones have

    Ψ(x)=(Cz1(x),Cz2(x),Cz3(x)).

    Now let us introduce several lemmas.

    Lemma 1.

    Q=(Ψ(x))1JΨ1(x),xI.

    Proof. From

    [zj,zk]x=R¯zk(x)QCzj(x),j,k=1,2,3,

    we have

    J=JT=([zj,zk]x)T=Ψ(x)QΨ(x),j,k=1,2,3.

    Then the conclusion can be obtained by left multiplying (Ψ(x))1 and right multiplying Ψ1(x) on the two ends of the above equality.

    Lemma 2. For arbitrary uD(L)

    ([u,z1]x,[u,z2]x,[u,z3]x)T=JΨ1(x)Cu(x),xI.

    Proof. From

    [u,zj]x=R¯zj(x)QCu(x),j=1,2,3,

    one has

    ([u,z1]x,[u,z2]x,[u,z3]x)T=Ψ(x)QCu(x)=Ψ(x)(Ψ(x))1JΨ1(x)Cu(x)=JΨ1(x)Cu(x).

    This complete the proof.

    Corollary 1. For arbitrary y1,y2,y3D(L), let Y(x)=(Cy1(x),Cy2(x),Cy3(x)) be the Wronskian matrix of y1,y2,y3, then

    JΨ1(x)Y(x)=([y1,z1]x[y2,z1]x[y3,z1]x[y1,z2]x[y2,z2]x[y3,z2]x[y1,z3]x[y2,z3]x[y3,z3]x),xI.

    Lemma 3. For arbitrary u,vD(L), we have

    [u,v]x=i([u,z1]x¯[v,z2]x+[u,z2]x¯[v,z1]x[u,z3]x¯[v,z3]x),xI. (2.7)

    Proof. From Lemma 1 and Lemma 2, it is easy to calculate that

    [u,v]x=R¯v(x)QCu(x)=R¯v(x)(Ψ(x))1JΨ1(x)Cu(x)=(JΨ1(x)Cv(x))J(JΨ1(x)Cu(x))=(¯[v,z1]x,¯[v,z2]x,¯[v,z3]x)J([u,z1]x,[u,z2]x,[u,z3]x)T=i([u,z1]x¯[v,z2]x+[u,z2]x¯[v,z1]x[u,z3]x¯[v,z3]x).

    This completes the proof.

    We start with the definition of dissipative operators.

    Definition 1. A linear operator L, acting in the Hilbert space L2(I) and having domain D(L), is said to be dissipative if (Lf,f)0,fD(L), where denotes the imaginary part of a value.

    Theorem 1. The operator L is dissipative in L2(I).

    Proof. For uD(L), we have

    2i(Lu,u)=(Lu,u)(u,Lu)=[u,u](b)[u,u](a), (3.1)

    then, applying (2.7), it follows that

    2i(Lu,u)=i([u,z1]b¯[u,z2]b+[u,z2]b¯[u,z1]b[u,z3]b¯[u,z3]b)i([u,z1]a¯[u,z2]a+[u,z2]a¯[u,z1]a[u,z3]a¯[u,z3]a). (3.2)

    From (2.4)–(2.6), it has

    [u,z1]a=(γ2¯γ2γ1)[u,z2]a+rγ2¯γ4e2iθ[u,z2]b+rγ2e2iθ[u,z3]b, (3.3)
    [u,z3]a=¯γ2[u,z2]ar¯γ4e2iθ[u,z2]bre2iθ[u,z3]b, (3.4)
    [u,z1]b=γ3[u,z2]bγ4[u,z3]b, (3.5)

    substituting (3.3)–(3.5) into (3.2) one obtains

    2i(Lu,u)=(Lu,u)(u,Lu)=i(¯[u,z2]a,¯[u,z2]b,¯[u,z3]b) (3.6)
    (γ2¯γ2+γ1+¯γ1000r2γ4¯γ4γ3¯γ3γ4(r21)0¯γ4(r21)(r21))([u,z2]a[u,z2]b[u,z3]b),

    and hence

    2(Lu,u)=(¯[u,z2]a,¯[u,z2]b,¯[u,z3]b)(s000cf0¯fd)([u,z2]a[u,z2]b[u,z3]b), (3.7)

    where

    s=2γ1|γ2|2,f=γ4(r21),c=r2|γ4|22γ3,d=r21.

    Note that the 3 by 3 matrix in (3.7) is Hermitian, its eigenvalues are

    s,c+d±(cd)2+4|f|22,

    and they are all non-negative if and only if

    s0,  c+d0,  cd|f|2.

    Since |r|1, 2γ1|γ2|2 and 2γ3|γ4|2, we have

    (Lu,u)0,uD(L).

    Hence L is a dissipative operator in L2(I).

    Theorem 2. If |r|>1, 2γ1>|γ2|2 and 2γ3<|γ4|2, then the operator L has no real eigenvalue.

    Proof. Suppose λ0 is a real eigenvalue of L. Let ϕ0(x)=ϕ(x,λ0)0 be a corresponding eigenfunction. Since

    (Lϕ0,ϕ0)=(λ0ϕ02)=0,

    from (3.7), it follows that

    (Lϕ0,ϕ0)=12(¯[ϕ0,z2]a,¯[ϕ0,z2]b,¯[ϕ0,z3]b)(s000cf0¯fd)([ϕ0,z2]a[ϕ0,z2]b[ϕ0,z3]b)=0,

    since |r|>1, 2γ1>|γ2|2 and 2γ3<|γ4|2, the matrix

    (s000cf0¯fd)

    is positive definite. Hence [ϕ0,z2]a=0, [ϕ0,z2]b=0 and [ϕ0,z3]b=0, and by the boundary conditions (2.4)–(2.6), we obtain that [ϕ0,z1]b=0. Let ϕ0(x)=ϕ(x,λ0), τ0(x)=τ(x,λ0)andη0(x)=η(x,λ0) be the linearly independent solutions of l(y)=λ0y. Then from Corollary 1 one has

    ([ϕ0,z1]b[τ0,z1]b[η0,z1]b[ϕ0,z2]b[τ0,z2]b[η0,z2]b[ϕ0,z3]b[τ0,z3]b[η0,z3]b)=QΨ1(b)(Cϕ0(b),Cτ0(b),Cη0(b)).

    It is evident that the determinant of the left hand side is equal to zero, the value of the Wronskian of the solutions ϕ(x,λ0), τ(x,λ0) and η(x,λ0) is not equal to zero, therefore the determinant on the right hand side is not equal to zero. This is a contradiction, hence the operator L has no real eigenvalue.

    In this section we start with a result of Gasymov and Guseinov [18]. It also can be found in many literatures, for instance in [19] and [20].

    Lemma 4. For all x[a,b], the functions ϕjk=[ψk(,λ),zj](x), j,k=1,2,3, are entire functions of λ with growth order 1 and minimal type: for any j,k=1,2,3 and ε0, there exists a positive constant Cj,k,ε such that

    |ϕjk|Cj,k,εeε|λ|,λC.

    Let

    A=(1γ1γ20¯γ21000),B=(0000r¯γ4e2iθre2iθ1γ3γ4)

    denote the boundary condition matrices of boundary conditions (2.4)–(2.6), and set Φ=(ϕjk)3×3. Then, a complex number is an eigenvalue of the operator L if and only if it is a zero of the entire function

    Δ(λ)=|l1(ψ1(,λ))l1(ψ2(,λ))l1(ψ3(,λ))l2(ψ1(,λ))l2(ψ2(,λ))l2(ψ3(,λ))l3(ψ1(,λ))l3(ψ2(,λ))l3(ψ3(,λ))|=det(AΦ(a,λ)+BΦ(b,λ)). (4.1)

    Remark 1. Note that a= or b= have not been ruled out. Since the limit circle case holds, the functions ϕjk and Φ(a,λ),Φ(b,λ) are well defined at a= and b=, i.e., ϕjk(±)=[ψk(,λ),zj](±)=limx±=[ψk(,λ),zj](x) exist and are finite.

    Corollary 2. The entire function Δ(λ) is also of growth order 1 and minimal type: for any ε0, there exists a positive constant Cε such that

    |Δ(λ)|Cεeε|λ|,λC, (4.2)

    and hence

    lim sup|λ|ln|Δ(λ)||λ|0. (4.3)

    From Theorem 2 it follows that zero is not an eigenvalue of L, hence the operator L1 exists. Let's give an analytical representation of L1.

    Consider the non-homogeneous boundary value problem composed of the equation l(u)=f(x) and the boundary conditions (2.4)–(2.6), where xI=(a,b), f(x)L2(I).

    Let u(x) be the solution of the above non-homogeneous boundary value problem, then

    u(x)=C1z1(x)+C2z2(x)+C3z3(x)+u(x),

    where Cj, j=1,2,3 are arbitrary constants and u(x) is a special solution of l(u)=f(x).

    It can be obtained by the method of constant variation,

    u(x)=C1(x)z1(x)+C2(x)z2(x)+C3(x)z3(x),

    where Cj, j=1,2,3 satisfies

    {C1(x)z1(x)+C2(x)z2(x)+C3(x)z3(x)=0,C1(x)z1(x)+C2(x)z2(x)+C3(x)z3(x)=0,i(C1(x)z1(x)+C2(x)z2(x)+C3(x)z3(x))=f(x).

    By proper calculation, we have

    u(x)=baK(x,ξ)f(ξ)dξ,

    where

    K(x,ξ)={1i|Ψ(x)||z1(ξ)z2(ξ)z3(ξ)z1(ξ)z2(ξ)z3(ξ)z1(x)z2(x)z3(x)|,  a<ξx<b,0,  a<xξ<b, (4.4)

    then the solution can be written as

    u(x)=C1z1(x)+C2z2(x)+C3z3(x)+baK(x,ξ)f(ξ)dξ,

    substituting u(x) into the boundary conditions one obtains

    Cj(x)=1Δ(0)baFj(ξ)f(ξ)dξ,j=1,2,3,

    where

    F1(ξ)=|l1(K)l1(z2)l1(z3)l2(K)l2(z2)l2(z3)l3(K)l3(z2)l3(z3)|, (4.5)
    F2(ξ)=|l1(z1)l1(K)l1(z3)l2(z1)l2(K)l2(z3)l3(z1)l3(K)l3(z3)|, (4.6)
    F3(ξ)=|l1(z1)l1(z2)l1(K)l2(z1)l2(z2)l2(K)l3(z1)l3(z2)l3(K)|, (4.7)

    thus

    u(x)=ba1Δ(0)[F1(ξ)z1(x)+F2(ξ)z2(x)+F3(ξ)z3(x)+K(x,ξ)Δ(0)]f(ξ)dξ.

    Let

    G(x,ξ)=1Δ(0)|z1(x)z2(x)z3(x)K(x,ξ)l1(z1)l1(z2)l1(z3)l1(K)l2(z1)l2(z2)l2(z3)l2(K)l3(z1)l3(z2)l3(z3)l3(K)|, (4.8)

    then one obtains

    u(x)=baG(x,ξ)f(ξ)dξ.

    Now define the operator T as

    Tu=baG(x,ξ)u(ξ)dξ,uL2(I), (4.9)

    then T is an integral operator and T=L1, this implies that the root vectors of the operators T and L coincide, since zj(x)L2(I), j=1,2,3, then the following inequality holds

    baba|G(x,ξ)|2dxdξ<+, (4.10)

    this implies that the integral operator T is a Hilbert-Schmidt operator [21].

    The next theorem is known as Krein's Theorem.

    Theorem 3. Let S be a compact dissipative operator in L2(I) with nuclear imaginary part S. The system of all root vectors of S is complete in L2(I) so long as at least one of the following two conditions is fulfilled:

    limmn+(m,S)m=0,limmn(m,S)m=0, (4.11)

    where n+(m,S) and n(m,S) denote the number of characteristic values of the real component S of S in the intervals [0,m] and [m,0], respectively.

    Proof. See [22].

    Theorem 4. If an entire function h(μ) is of order 1 and minimal type, then

    limρn+(ρ,h)ρ=0,limρn(ρ,h)ρ=0, (4.12)

    where n+(ρ,h) and n(ρ,h) denote the number of the zeros of the function h(μ) in the intervals [0,ρ] and [ρ,0], respectively.

    Proof. See [23].

    The operator T can be written as T=T1+iT2, where T1=T and T2=T, T and T1 are Hilbert-Schmidt operators, T1 is a self-adjoint operator in L2(I), and T2 is a nuclear operator (since it is a finite dimensional operator)[22]. It is easy to verify that T1 is the inverse of the real part L1 of the operator L.

    Since the operator L is dissipative, it follows that the operator T is dissipative. Consider the operator  T=T1iT2, the eigenvalues of the operator T1 and L1 coincide. Since the characteristic function of L1 is an entire function, therefore using Theorem 4 and Krein's Theorem we arrive at the following results.

    Theorem 5. The system of all root vectors of the operator T (also of T) is complete in L2(I).

    Theorem 6. The system of all eigenvectors and associated vectors of the dissipative operator L is complete in L2(I).

    This paper considered a class of third order dissipative operator generated by symmetric third order differential expression and a class of non-self-adjoint boundary conditions. By using the well known Krein's Theorem and theoretical analysis the completeness of eigenfunctions system and associated functions is proved.

    The similar results already exist for second order S-L operators and fourth order differential operators, see e.g., [2] and [3]. For third order case, the corresponding discussions about dissipative operators can be found in most recent works in [15,19], where the maximal dissipative extension and the complete theorems of eigenvectors system are given. The boundary conditions at the present work are much general and the methods are different from those in [15,19]. These boundary conditions may help us to classify all the analytical representations of dissipative boundary conditions of third order differential operators.

    The authors thank the referees for their comments and detailed suggestions. These have significantly improved the presentation of this paper. This work was supported by National Natural Science Foundation of China (Grant No. 11661059), Natural Science Foundation of Inner Mongolia (Grant No. 2017JQ07). The third author was supported by the Ky and Yu-fen Fan US-China Exchange fund through the American Mathematical Society.

    The authors declare no conflict of interest in this paper.


    Acknowledgments



    This study has been supported in part by a grant from the ‘Fondation Université de Cergy-Pontoise’, and by CNRS GDR 2088 ‘BIOMIM’. We thank the ‘département génie biologique’ of the ‘Institut Universitaire de Technologie’ of Cergy-Pontoise for the access to its conventional animal facility.

    Authors contributions



    Rayane Chettaoui: investigation, analysis and interpretation of the data. Gilles Mayot: methodology, statistical analysis, interpretation of the data, production of illustrations, writing review. Loris De Almeida: investigation. Patrick Di Martino: conceptualization, methodology, supervision, writing original draft.

    Conflict of interest



    The authors declare no conflict of interest.

    [1] Papas PN, Brusch CA, Ceresia GC (1966) Cranberry juice in the treatment of urinary tract infections. Southwest Med 47: 17-20.
    [2] Zafriri D, Ofek I, Adar R, et al. (1989) Inhibitory activity of cranberry juice on adherence of type 1 and type P fimbriated Escherichia coli to eucaryotic cells. Antimicrob Agents Chemother 33: 92-98. doi: 10.1128/AAC.33.1.92
    [3] Avorn J, Monane M, Gurwitz JH, et al. (1994) Reduction of bacteriuria and pyuria after ingestion of cranberry juice. JAMA 271: 751-754. doi: 10.1001/jama.1994.03510340041031
    [4] Schlager TA, Anderson S, Trudell J, et al. (1999) Effect of cranberry juice on bacteriuria in children with neurogenic bladder receiving intermittent catheterization. J Pediatr 135: 698-702. doi: 10.1016/S0022-3476(99)70087-9
    [5] Kontiokari T, Sundqvist K, Nuutinen M, et al. (2001) Randomised trial of cranberry-lingonberry juice and Lactobacillus GG drink for the prevention of urinary tract infections in women. BMJ 322: 1571. doi: 10.1136/bmj.322.7302.1571
    [6] Di Martino P, Agniel R, David K, et al. (2006) Reduction of Escherichia coli adherence to uroepithelial bladder cells after consumption of cranberry juice: a double-blind randomized placebo-controlled cross-over trial. World J Urol 24: 21-27. doi: 10.1007/s00345-005-0045-z
    [7] Lavigne JP, Bourg G, Botto H, et al. (2007) Cranberry (Vaccinium macrocarpon) and urinary tract infections: study model and review of literature. Pathol Biol (Paris) 55: 460-464. doi: 10.1016/j.patbio.2007.07.005
    [8] Pinzón-Arango PA, Liu Y, Camesano TA (2009) Role of cranberry on bacterial adhesion forces and implications for Escherichia coli-uroepithelial cell attachment. J Med Food 12: 259-270. doi: 10.1089/jmf.2008.0196
    [9] Ermel G, Georgeault S, Inisan C, et al. (2012) Inhibition of adhesion of uropathogenic Escherichia coli bacteria to uroepithelial cells by extracts from cranberry. J Med Food 15: 126-134. doi: 10.1089/jmf.2010.0312
    [10] Hisano M, Bruschini H, Nicodemo AC, et al. (2012) Cranberries and lower urinary tract infection prevention. Clinics (Sao Paulo) 67: 661-668. doi: 10.6061/clinics/2012(06)18
    [11] Mayot G, Secher C, Di Martino P (2018) Inhibition of adhesion of uropathogenic Escherichia coli to canine and feline uroepithelial cells by an extract from cranberry. J Microbiol Biotechnol Food Sci 7: 404-406.
    [12] Liu H, Howell AB, Zhang DJ, et al. (2019) A randomized, double-blind, placebo-controlled pilot study to assess bacterial anti-adhesive activity in human urine following consumption of a cranberry supplement. Food Funct 10: 7645-7652. doi: 10.1039/C9FO01198F
    [13] Scharf B, Schmidt TJ, Rabbani S, et al. (2020) Antiadhesive natural products against uropathogenic E. coli: What can we learn from cranberry extract? J Ethnopharmacol 257: 112889. doi: 10.1016/j.jep.2020.112889
    [14] Chou HI, Chen KS, Wang HC, et al. (2016) Effects of cranberry extract on prevention of urinary tract infection in dogs and on adhesion of Escherichia coli to Madin-Darby canine kidney cells. Am J Vet Res 77: 421-427. doi: 10.2460/ajvr.77.4.421
    [15] González de Llano D, Moreno-Arribas MV, Bartolomé B (2020) Cranberry polyphenols and prevention against urinary tract infections: relevant considerations. Molecules 25: 3523. doi: 10.3390/molecules25153523
    [16] Howell AB, Reed JD, Krueger CG, et al. (2005) A-type cranberry proanthocyanidins and uropathogenic bacterial anti-adhesion activity. Phytochemistry 66: 2281-2291. doi: 10.1016/j.phytochem.2005.05.022
    [17] Howell AB, Dreyfus JF, Chughtai B (2021) Differences in urinary bacterial anti-adhesion activity after intake of Cranberry dietary supplements with soluble versus insoluble proanthocyanidins. J Diet Suppl Apr 5: 1-18.
    [18] González de Llano D, Esteban-Fernández A, Sánchez-Patán F, et al. (2015) Anti-adhesive activity of Cranberry phenolic compounds and their microbial-derived metabolites against uropathogenic Escherichia coli in bladder epithelial cell cultures. Int J Mol Sci 16: 12119-12130. doi: 10.3390/ijms160612119
    [19] Mena P, González de Llano D, Brindani N, et al. (2017) 5-(30,40-Dihydroxyphenyl)-valerolactone and its sulphate conjugates, representative circulating metabolites of flavan-3-ols, exhibit anti-adhesive activity against uropathogenic Escherichia coli in bladder epithelial cells. J Funct Foods 29: 275-280. doi: 10.1016/j.jff.2016.12.035
    [20] Chettaoui R, Mayot G, Boutiba I, et al. (2017) Antibiotic susceptibility and biofilm formation of Enterococcus faecalis urinary isolates: a six-month study in consultation at the Charles Nicolle hospital, Tunis. Int J Innov Ad Res 5: 24-31.
    [21] Di Martino P, Agniel R, Gaillard JL, et al. (2005) Effects of cranberry juice on uropathogenic Escherichia coli in vitro biofilm formation. J Chemother 17: 563-565. doi: 10.1179/joc.2005.17.5.563
    [22] Wojnicz D, Tichaczek-Goska D, Korzekwa K, et al. (2016) Study of the impact of cranberry extract on the virulence factors and biofilm formation by Enterococcus faecalis strains isolated from urinary tract infections. Int J Food Sci Nutr 67: 1005-1016. doi: 10.1080/09637486.2016.1211996
    [23] Russo TA, Johnson JR (2003) Medical and economic impact of extraintestinal infections due to Escherichia coli: focus on an increasingly important endemic problem. Microb Infec 5: 449-456. doi: 10.1016/S1286-4579(03)00049-2
    [24] Bekiares N, Krueger CG, Meudt JJ, et al. (2017) Effect of sweetened dried cranberry consumption on urinary proteome and fecal microbiome in healthy human subjects. Omics J Integr Biol 21: 1-9. doi: 10.1089/omi.2016.0144
    [25] Rodríguez-morató J, Matthan NR, Liu J, et al. (2018) Cranberries attenuate animal-based diet-induced changes in microbiota composition and functionality: A randomized crossover controlled feeding trial. J Nutr Biochem 62: 76-86. doi: 10.1016/j.jnutbio.2018.08.019
    [26] Anhê FF, Roy D, Pilon G, et al. (2015) A polyphenol-rich cranberry extract protects from diet-induced obesity, insulin resistance and intestinal inflammation in association with increased Akkermansia spp. population in the gut microbiota of mice. Gut 64: 872-883. doi: 10.1136/gutjnl-2014-307142
    [27] Blumberg JB, Basu A, Krueger CG, et al. (2016) Impact of cranberries on gut microbiota and cardiometabolic health: proceedings of the cranberry health research conference. Adv Nutr 7: 759S-770S. doi: 10.3945/an.116.012583
    [28] Monk JM, Lepp D, Zhang CP, et al. (2016) Diets enriched with cranberry beans alter the microbiota and mitigate colitis severity and associated inflammation. J Nutr Biochem 28: 129-139. doi: 10.1016/j.jnutbio.2015.10.014
    [29] Feliciano RP, Meudt JJ, Shanmuganayagam D, et al. (2014) Ratio of ‘A-type’ to ‘B-type’ proanthocyanidin interflavan bonds affects extra-intestinal pathogenic Escherichia coli invasion of gut epithelial cells. J Agric Food Chem 62: 3919-3925. doi: 10.1021/jf403839a
    [30] Feliciano RP, Mills CE, Istas G, et al. (2017) Absorption, metabolism and excretion of Cranberry (Poly)phenols in humans: A dose response study and assessment of inter-individual variability. Nutrients 9: 268. doi: 10.3390/nu9030268
    [31] Martins dos Santos V, Müller M, de Vos WM (2010) Systems biology of the gut: the interplay of food, microbiota and host at the mucosal interface. Curr Opin Biotechnol 21: 539-550. doi: 10.1016/j.copbio.2010.08.003
    [32] Umu OC, Oostindjer M, Pope PB, et al. (2013) Potential applications of gut microbiota to control human physiology. Antonie Van Leeuwenhoek 104: 609-618. doi: 10.1007/s10482-013-0008-0
    [33] Chen J, He X, Huang J (2014) Diet effects in gut microbiome and obesity. J Food Sci 79: R442-R451. doi: 10.1111/1750-3841.12397
    [34] Power SE, O'Toole PW, Stanton C, et al. (2014) Intestinal microbiota, diet and health. Br J Nutr 111: 387-402. doi: 10.1017/S0007114513002560
    [35] Felgines C, Talavéra S, Texier O, et al. (2006) Absorption and metabolism of red orange juice anthocyanins in rats. Br J Nutr 95: 898-904. doi: 10.1079/BJN20061728
    [36] Anses–Saisine n 2010-SA-0214 Avis de l'Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail relatif à l'évaluation des effets potentiels de la canneberge dans le champ des infections urinaires communautaires (2011) .
    [37] Gorbach SL, Neale G, Levitan R, et al. (1970) Alterations in human intestinal microflora during experimental diarrhoea. Gut 11: 1-6. doi: 10.1136/gut.11.1.1
    [38] Tendolkar PM, Baghdayan AS, Shankar N (2003) Pathogenic Enterococcus spp.: new developments in the 21st century. Cell Mol Life Sci 60: 2622-2636. doi: 10.1007/s00018-003-3138-0
    [39] Layton BA, Walters SP, Boehm AB (2009) Distribution and diversity of the enterococcal surface protein (esp) gene in animal hosts and the Pacific coast environment. J Appl Microbiol 106: 1521-1531. doi: 10.1111/j.1365-2672.2008.04113.x
    [40] KuKanich KS, Lubbers BV (2015) Review of Enterococcus spp. isolated from canine and feline urine specimens from 2006 to 2011. J Am Anim Hosp Assoc 51: 148-154. doi: 10.5326/JAAHA-MS-6070
    [41] Gilliland SE, Speck ML, Morgan CG (1975) Detection of Lactobacillus acidophilus in feces of humans, pigs, and chickens. Appl Microbiol 30: 541-545. doi: 10.1128/am.30.4.541-545.1975
    [42] Holzapfel WH, Haberer P, Snel J, et al. (1998) Overview of gut flora and probiotics. Int J Food Microbiol 41: 85-101. doi: 10.1016/S0168-1605(98)00044-0
    [43] Ng QX, Peters C, Venkatanarayanan N, et al. (2018) Use of Lactobacillus spp. to prevent recurrent urinary tract infections in females. Med Hypotheses 114: 49-54. doi: 10.1016/j.mehy.2018.03.001
    [44] Koradia P, Kapadia S, Trivedi Y, et al. (2019) Probiotic and cranberry supplementation for preventing recurrent uncomplicated urinary tract infections in premenopausal women: a controlled pilot study. Expert Rev Anti infect Ther 17: 733-740. doi: 10.1080/14787210.2019.1664287
    [45] de Llano DG, Arroyo A, Cárdenas N, et al. (2017) Strain-specific inhibition of the adherence of uropathogenic bacteria to bladder cells by probiotic Lactobacillus spp. Pathog Dis 75. doi: 10.1093/femspd/ftx043
    [46] Holdeman LV, Good IJ, Moore WE (1976) Human fecal flora: variation in bacterial composition within individuals and a possible effect of emotional stress. Appl Environ Microbiol 31: 359-375. doi: 10.1128/aem.31.3.359-375.1976
    [47] Wallace AJ, Eady SL, Hunter DC, et al. (2015) No difference in fecal levels of bacteria or short chain fatty acids in humans, when consuming fruit juice beverages containing fruit fiber, fruit polyphenols, and their combination. Nutr Res 35: 23-34. doi: 10.1016/j.nutres.2014.11.002
  • This article has been cited by:

    1. Cheng-Wen Lee, Peiyi Kong, Wendong Yang, Forecasting Travel Sentiment under the Shock Effects of COVID-19 and Vaccination Using Grey Prediction Models, 2023, 2023, 2314-4785, 1, 10.1155/2023/7334544
    2. Meilan Qiu, Dewang Li, Zhongliang Luo, Xijun Yu, Huizhou GDP forecast based on fractional opposite-direction accumulating nonlinear grey bernoulli markov model, 2023, 31, 2688-1594, 947, 10.3934/era.2023047
    3. Yuzhen Chen, Suzhen Li, Shuangbing Guo, Wendong Yang, A Novel Fractional Hausdorff Discrete Grey Model for Forecasting the Renewable Energy Consumption, 2022, 2022, 2314-4785, 1, 10.1155/2022/8443619
    4. Haoqing Wang, Wen Yi, Yannick Liu, An innovative approach of determining the sample data size for machine learning models: a case study on health and safety management for infrastructure workers, 2022, 30, 2688-1594, 3452, 10.3934/era.2022176
    5. Yi Deng, Zhanpeng Yue, Ziyi Wu, Yitong Li, Yifei Wang, TCN-Attention-BIGRU: Building energy modelling based on attention mechanisms and temporal convolutional networks, 2024, 32, 2688-1594, 2160, 10.3934/era.2024098
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3768) PDF downloads(134) Cited by(5)

Figures and Tables

Figures(3)  /  Tables(4)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog