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Novel perspective of therapeutic modules to overcome motor and nonmotor symptoms in Parkinson's disease

  • Parkinson's disease (PD) is a neurodegenerative disorder that involves the loss of dopaminergic neurons, which leads to motor and non-motor symptoms that have a significant impact. The pathophysiology of PD is complex and involves environmental and genetic factors that contribute to alpha-synuclein aggregation, mitochondrial dysfunction, oxidative stress, and neuroinflammation. The current treatments of PD primarily focus on symptom management and have limitations in addressing disease progression and non-motor symptoms. Epidemiological data indicates a rise in PD cases worldwide, which highlights the need for effective treatments. Pathophysiological insights point out the involvement of various factors in PD progression, such as dopamine dysregulation, genetic mutations, oxidative stress, mitochondrial damage, alpha-synuclein aggregation, and neuroinflammation. Although current treatments, which include dopamine precursors, monoamine oxidase (MAO) inhibitors, and non-dopaminergic drugs, can alleviate motor symptoms, they are not effective in preventing disease progression or managing non-motor symptoms. Additionally, they can lead to adverse effects and become less effective over time. Novel therapeutic approaches, including cell-based therapies, gene therapies, targeted drug delivery therapies, and magnetic field therapies, are promising in improving symptom management and providing personalized treatment. Additionally, emerging therapies that target alpha-synuclein aggregation, mitochondrial dysfunction, and neuroinflammation may have potential disease-modifying effects. To sum up, for dealing with the multiple aspects of PD, there is a great need to come up with new and creative therapeutic approaches that not only relieve symptoms, but also prevent the progression of disease and non-motor symptoms. The progress made in comprehending the underlying mechanisms of PD provides optimism for developing successful treatments that can enhance the outcomes and quality of life.

    Citation: Anmol Kumar, Ajay Kumar Gupta, Prashant Kumar Singh. Novel perspective of therapeutic modules to overcome motor and nonmotor symptoms in Parkinson's disease[J]. AIMS Neuroscience, 2024, 11(3): 312-340. doi: 10.3934/Neuroscience.2024020

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  • Parkinson's disease (PD) is a neurodegenerative disorder that involves the loss of dopaminergic neurons, which leads to motor and non-motor symptoms that have a significant impact. The pathophysiology of PD is complex and involves environmental and genetic factors that contribute to alpha-synuclein aggregation, mitochondrial dysfunction, oxidative stress, and neuroinflammation. The current treatments of PD primarily focus on symptom management and have limitations in addressing disease progression and non-motor symptoms. Epidemiological data indicates a rise in PD cases worldwide, which highlights the need for effective treatments. Pathophysiological insights point out the involvement of various factors in PD progression, such as dopamine dysregulation, genetic mutations, oxidative stress, mitochondrial damage, alpha-synuclein aggregation, and neuroinflammation. Although current treatments, which include dopamine precursors, monoamine oxidase (MAO) inhibitors, and non-dopaminergic drugs, can alleviate motor symptoms, they are not effective in preventing disease progression or managing non-motor symptoms. Additionally, they can lead to adverse effects and become less effective over time. Novel therapeutic approaches, including cell-based therapies, gene therapies, targeted drug delivery therapies, and magnetic field therapies, are promising in improving symptom management and providing personalized treatment. Additionally, emerging therapies that target alpha-synuclein aggregation, mitochondrial dysfunction, and neuroinflammation may have potential disease-modifying effects. To sum up, for dealing with the multiple aspects of PD, there is a great need to come up with new and creative therapeutic approaches that not only relieve symptoms, but also prevent the progression of disease and non-motor symptoms. The progress made in comprehending the underlying mechanisms of PD provides optimism for developing successful treatments that can enhance the outcomes and quality of life.



    In this paper, we consider the Cauchy problem for the following two-dimensional inhomogeneous incompressible viscoelastic rate-type fluids with stress-diffusion:

    {ρt+uρ=0,(t,x)R+×R2,ρ(ut+uu)Δu+P+σdiv(bb12|b|2I)=0,bt+ub+1ν(e(b)σΔb)=0,divu=0,(ρ,u,b)(t,x)|t=0=(ρ0,u0,b0)(x), (1.1)

    where the unknowns ρ=ρ(x,t), u=(u1(x,t),u2(x,t)) and b=b(x,t) stand for the density, velocity of the fluid and the spherical part of the elastic strain, respectively. P is a scalar pressure function, which guarantees the divergence-free condition of the velocity field. The coefficients ν and σ are two positive constants. In addition, we suppose that e() is a smooth convex function about b and e(0)0, e(0)=0, e(b)C0, where C0 is a positive constant depending on the initial data. The class of fluids is the elastic response described by a spherical strain [3]. Compared with [3], we have added the divergence-free condition to investigate the effect of density on viscoelastic rate-type fluids, while the divergence-free condition is for computational convenience.

    It is easy to observe that for σ=0, the system (1.1) degenerates two distinct systems involving the inhomogeneous Navier-Stokes equation for the fluid and a transport equation with damped e(b). Numerous researchers have extensively studied the well-posedness concern regarding the inhomogeneous Navier-Stokes equations; see [1,7,8,9,11,14] and elsewhere. However, the transport equation has a greater effect on the regularity of density than on that of velocity. Additionally, due to the presence of the damped term e(b), the initial elasticity in system (1.1) exhibits higher regularity compared to the initial velocity.

    In the case where σ>0, system (1.1) resembles the inhomogeneous magnetohydrodynamic (MHD) equations, with b as a scalar function in (1.1) that does not satisfy the divergence condition found in MHD equations. It is essential to highlight that the system (1.1) represents a simplified model, deviating from standard viscoelastic rate-type fluid models with stress-diffusion to facilitate mathematical calculations. Related studies on system (1.1) can be found in [3,4,15]. In particular, Bulíček, Málek, and Rodriguez in [5] established the well-posedness of a 2D homogeneous system (1.1) in Sobolev space. Our contribution lies in incorporating the density equation into this established framework.

    Inspired by [11,18], we initially establish a priori estimates for the system (1.1). Subsequently, by using a Friedrich's method and the compactness argument, we obtain the existence and uniqueness of the solutions. Our main result is as follows:

    Theorem 1.1. Let the initial data (ρ0,u0,b0) satisfy

    0<m<ρ0(x)<M<,(u0,b0)H1(R2)×H2(R2),e(b0)L1(R2), (1.2)

    where m,M are two given positive constants with m<M. Then system (1.1) has a global solution (ρ,u,b) such that, for any given T>0, (t,x)[0,T)×R2,

    m<ρ(t,x)<M,uL(0,T;H1(R2))L2(0,T;H2(R2)),tuL(0,T;L2(R2))L2(0,T;H1(R2)),bL(0,T;H2(R2))L2(0,T;H3(R2)),tbL(0,T;H1(R2))L2(0,T;H2(R2)).

    Moreover, if ρ0L4(R2), then the solution is unique.

    Remark 1.1. Compared to the non-homogeneous MHD equations, handling the damping term e(b) poses a challenge, so that we cannot obtain the time-weighted energy of the velocity field. To explore the uniqueness of the solution, it is necessary to improve the regularity of the initial density data.

    The key issue to prove the global existence part of Theorem 1.1 is establishing the a priori L(0,T;H1(R2)) estimate on (u,b) for any positive time T. We cannot directly estimate the L2 estimate of (u,b), which mainly occurs in the velocity term div(bb12|b|2I). Therefore, we need to estimate the L2 of the b equation. Afterwards, the L2 estimation of equation b was affected by a damping term e(b), so we made an L2 estimation of equation e(b). Finally, to show the L(0,T;H1(R2)) of u, we also need an estimate of the second derivative of b. In summary, we found that the initial value of the b equation needs to be one derivative higher than the initial value of the u equation.

    Concerning the uniqueness of the strong solutions, a common approach is to consider the difference equations between two solutions and subsequently derive some energy estimates for the resulting system differences based on the fundamental natural energy of the system. However, for system (1.1), the presence of a damping term e(b) of the equation b and density equation prevents the calculation of the time-weighted energy of the velocity field. To research the solution's uniqueness, we need to enhance the regularity of the initial density data.

    The paper is structured as follows: Section 2 presents prior estimates for system (1.1). In Section 3, we establish the existence and uniqueness of Theorem 1.1.

    Proposition 2.1. Assume that m,M are two given positive constants and 0<mM<, the initial data ρ0 satisfies 0<mρ0M<+, and the initial data (ρ0u0,b0)L2(R2)×L2(R2). Let (ρ,u,b) be a smooth solution of system (1.1), then there holds for any t>0,

    0<mρ(t)M<+, (2.1)
    (ρu,b,u)(t)2L2+t0(u,2b)2L2dτC(ρ0u0,b0)2L2, (2.2)

    where C is a constant depending only on σ, ν.

    Proof. First, any Lebesgue norm of ρ0 is preserved through the evolution, and 0<mρ(t)M<+.

    To prove (2.2), taking the L2 inner product of the second equation of (1.1) with u and integrating by parts, then we obtain

    12ddtρu2L2+u2L2=σR2Δbbudx, (2.3)

    where we used the fact that

    div(bb12|b|2I)=Δbb.

    Multiplying the third equation of (1.1) by σΔb and integrating by parts, we obtain

    σ2ddtb2L2+σ2νΔb2L2σ2νR2e(b)Δbdx=σR2ubΔbdx. (2.4)

    Thanks to the convexity of e(b), we know

    σ2νR2e(b)Δbdx=σ2νR2(e(b))bdx=σ2νR2e(b)|b|2dx0. (2.5)

    By inserting (2.5) into (2.4), combining the result with (2.3), one yields

    ddt(ρu,b)2L2+u2L2+CΔb2L20.

    Integrating it with respect to time, we have

    (ρu,b)(t)2L2+t0(u,2b)2L2dτC(ρ0u0,b0)2L2. (2.6)

    On the other hand, applying 0<mρM<+, which together with (2.6) implies

    u2L(L2)m1ρu2L(L2)C(ρ0u0,b0)2L2,

    which, along with inequality (2.6), yields (2.2).

    Proposition 2.2. Under the assumptions of Proposition 2.1, the corresponding solution (ρ, u, b) of the system (1.1) admits the following bound for any t>0:

    (u,2b,b,b)2L2+t0(2u,3b,ρuτ,bτ,uτ)2L2dτC, (2.7)

    where C is a positive constant depending on m, M, u0, ρ0, and b0.

    Proof. First, we obtain by taking L2 inner product of (1.1)3 with e(b) that

    ddtR2e(b)dx+1νe(b)2L2ubL2e(b)L2+14νe(b)2L2+CΔb2L212νe(b)2L2+Cu2L4b2L4+CΔb2L212νe(b)2L2+CuL2uL2bL22bL2+CΔb2L212νe(b)2L2+C(u2L2+2b2L2).

    Integrating with respect to time, we obtain

    e(b)L(L1)+e(b)2L2(L2)(ρ0u0,b0)2L2+e(b0)L1. (2.8)

    Similarly, multiplying (1.1)3 by b, we have

    12ddtb2L2+b2L2C(b2L2+e(b)2L2),

    after using (2.8) and Grönwall's inequality, we obtain

    bL(0,t;L2(R2))L2(0,t;H1(R2)). (2.9)

    In the following, applying Laplace operator Δ to (1.1)3 and multiplying the resulting equation by Δb; additionally, multiplying (1.1)2 by ut and (1.1)3 by bt, respectively, then integrating them on R2 and adding up all these results together, we obtain

    12ddtR2(|Δb|2+|u|2+σν|b|2)dx+R2(ρ|ut|2+|bt|2+σν|3b|2)dx=R2ρuuutdxσR2ΔbbutdxR2ubbtdx1νR2e(b)btdxR2Δ(ub)Δbdx1νR2Δe(b)Δbdx6j=1Ij. (2.10)

    Utilizing Gagliardo-Nirenberg's, Hölder's, Young's inequalities (2.2), we estimate the first term as follows:

    I1ρLρutL2uL4uL4116ρut2L2+Cu2L4u2L4116ρut2L2+CuL2u2L22uL2116ρut2L2+1162u2L2+Cu4L2.

    Similarly, by direct calculations, the other terms can be bounded as

    I2116ρut2L2+σ8ν3b2L2+C2b4L2,I314bt2L2+Cu2L2+Cb2L2Δb2L2,I414bt2L2+Ce(b)2L2,I53σ16ν3b2L2+1162u2L2+Cu4L2+C2b4L2,I63σ16ν3b2L2+Cb2L2.

    Next, according to the regularity theory of the Stokes system in Eq (1.1)2, it follows that

    2u2L2ρut2L2+ρuu2L2+σbΔb2L2ρut2L2+Cu2L22uL2+C2b2L23bL2ρut2L2+122u2L2+σ2ν3b2L2+C(u4L2+2b4L2),

    after multiplying by 18, we arrive at

    1162u2L218ρut2L2+σ16ν3b2L2+C(u4L2+2b4L2). (2.11)

    Substituting the estimates I1I6 into (2.10) and combining inequality (2.11), we have

    ddt((u,b,2b)2L2+1)+(ρut,bt,3b,2u)2L2C((u,b,2b)2L2+1)(u,b,2b)2L2+Ce(b)2L2,

    which, along with Grönwall's inequality (2.2), (2.8), and (2.9), leads to

    (u,b,2b)2L2+t0(ρuτ,bτ,3b,2u)2L2dτC, (2.12)

    which completes the proof of Proposition 2.2.

    Proposition 2.3. Under the assumptions of Proposition 2.2, there holds

    (ρut,bt,bt,ut)2L2+t0(uτ,bτ,Δbτ)2L2dτC, (2.13)

    where C is a positive constant depending on m, M, u0, ρ0 and b0.

    Proof. Taking the derivative of Eq (1.1)2 with respect to time t, then multiplying ut on both sides of the resulting equation and integrating by parts gives

    12ddtρut2L2+ut2L2=R2ρtututdxR2ρtuuutdxR2ρutuutdxR2σΔbtbutdxσR2Δbbtutdx. (2.14)

    Next, we compute each term on the right-hand side of the equation above one by one using estimates (2.2) and (2.7). The bound of the first term has been estimated as

    R2ρtututdx=R2 div(ρu)ututdx=R22ρuututdxCρLuL4utL4utL2Cu12L2u12L2ut32L2ut12L2110ut2L2+Cu2L2ut2L2.

    By using Gagliardo-Nirenberg's, Hölder's, and Young's inequalities and (2.2), we have

    R2ρtuuutdx=R2(ρu)uuutdx=R2ρuuuutdxR2ρuu2uutdxR2uuρuutdxρL(uL6u2L3utL6+u2L62uL2utL6+u2L6uL6utL2)Cu13L2u2L22u23L2ut13L2ut23L2+Cu23L2u43L22uL2ut13L2ut23L2 +Cu23L2u53L22u23L2utL2110ut2L2+C2u2L2+Cu2L2ut2L2.

    Similarly,

    R2ρutuutdxCρLuL2ut2L4110ut2L2+Cu2L2ut2L2

    and

     R2σΔbtbutdxσR2ΔbbtutdxCΔbtL2bL4utL4+CΔbL4btL2utL4CΔbtL2b12L2Δb12L2ut12L2ut12L2+CΔb12L23b12L2btL2ut12L2ut12L2σ16νbt2L2+σ16νΔbt2L2+110ut2L2+C(b2L2+3b2L2)2b2L2ut2L2.

    Inserting these estimates into (2.14), we have

    ddtρut2L2+85ut2L2σ8ν(bt,Δbt)2L2+C2u2L2+C(u,2b,3b)2L2ut2L2. (2.15)

    Now we turn to the b equation of (1.1). Differentiating (1.1)3 with respect to t, we obtain

    btt+utb+ubt+1ν(e(b)btσΔbt)=0.

    Multiplying it by bt and Δbt, integrating the resulting equation, and summing up these results, due to the divergence-free condition divu=0, we obtain

    12ddt(bt,bt)2L2+σν(bt,Δbt)2L2+1νR2e(b)(bt)2dx=R2utbbtdx+R2utbΔbtdx+R2ubtΔbtdx+1νR2e(b)btΔbtdxutL4bL4btL2+utL4bL4ΔbtL2+uL4btL4ΔbtL2+CbtL2ΔbtL2σ4νbt2L2+utL2utL2bL2bL2+σ8νΔbt2L2+utL2utL2bL2ΔbL2+σ8νΔbt2L2+CuL2uL2btL22btL2+σ8νΔbt2L2+Cbt2L2σ4νbt2L2+σ2νΔbt2L2+12ut2L2+C(b2L2+Δb2L2)ut2L2+Cbt2L2+Cu2L2bt2L2. (2.16)

    Summing up (2.15) and (2.16) yields that

    ddt(ρut,bt,bt)2L2+(ut,bt,Δbt)2L2C2u2L2+Cbt2L2+C(u,2b,3b,b)2L2(ρut,bt,bt)2L2.

    Applying (2.7) and Grönwall's inequality to the above inequality, we obtain

    (ρut,bt,bt)2L2+t0(uτ,bτ,Δbτ)2L2dτC.

    What's more, by the same argument of uL(L2) in Proposition 2.1, we have

    utL(L2)C,

    which completes the proof of Proposition 2.3.

    Proposition 2.4. Under the assumption of Proposition 2.3, it holds that for any t>0:

    t0uLdτCt23 (2.17)

    and

    supt>0ρ(t)LpC(t). (2.18)

    Proof. Again, it follows from the regularity of the Stokes system

    2uL4+PL4ρutL4+ρuuL4+ΔbbL4C(utL4+uLuL4+ΔbL4bL)C(ut12L2ut12L2+u12L22uL2u12L2+2b12L23bL2b12L2).

    By Propositions 2.1–2.3, we obtain

    t02uL4dτ+t0PL4dτC(t02u2L4dτ)12t12+C(t0P2L4dτ)12t12C(utL2(L2)+utL2(L2)+u12L(L2)u12L(L2)2uL2(L2)+b12L(L2)2b12L(L2)3bL2(L2))t12Ct12,

    and

    t0uLdτt0u13L22u23L4dτC(t02u2L4dτ)13t23(ut23L2(L2)+ut23L2(L2)+u23L(L2)u23L(L2)2u23L2(L2)+b23L(L2)2b23L(L2)3b23L2(L2))t23Ct23,

    which leads to (2.17). Finally, we recall that the density ρ satisfies

    tρ+uρ=0.

    Applying the operator to both sides of the above equation yields

    tρ+u(ρ)=uρ.

    By applying the Lp estimate to the above equation, combined with the divergence free condition implies

    ddtρLpuLρLp.

    The Grönwall's inequality implies

    ρLpρ0Lpexpt0uLdτC(t).

    We thus complete the proof of Proposition 2.4.

    The section is to prove Theorem 1.1. For any given ρ0 and (u0,b0)Hs(R2)×Hs+1(R2), we define the initial data

    ρϵ0=ρ0ηϵ,uϵ0=u0ηϵ,bϵ=b0ηϵ,

    where ηϵ is the standard Friedrich's mollifier with ϵ>0. With the initial data (ρϵ0,uϵ0,bϵ0), the system (1.1) has a unique global smooth solution (ρϵ,uϵ,bϵ). From Propositions 2.1 and 2.2, we obtain

    mρϵ(x,t)M,
    (uϵ,bϵ,uϵ,bϵ,2bϵ)2L2+t0(ρuϵτ,bϵτ,3bϵ,2uϵ)2L2dτC.

    By standard compactness arguments and Lions-Aubin's Lemma, we can obtain a subsequence denoted again by (uϵ,bϵ), that (uϵ,bϵ) converges strongly to (u,b) in L2(R+;Hs1)×L2(R+;Hs2), as ϵ0, for s1<2 and s2<3. By the definition of ρϵ0 and let ϵ0, we find that the limit ρ of ρϵ satisfies mρM.

    Next, we shall prove the uniqueness of the solutions. Assume that (ρi,ui,bi)(i=1,2) be two solutions of system (1.1), which satisfy the regularity propositions listed in Theorem 1.1. We denote

    (˜ρ,˜u,˜b,˜P)def=(ρ2ρ1,u2u1,b2b1,P2P1).

    Then the system for (˜ρ,˜u,˜b,˜P) reads

    {˜ρt+u2˜ρ=˜uρ1,ρ2˜ut+ρ2u2˜uΔ˜u+˜P=˜F,˜bt+u2˜b+1ν(e(b2)e(b1)σΔ˜b)=˜ub1,div˜u=0,(˜ρ,˜u,˜b)(t,x)|t=0=(0,0,0), (3.1)

    where

    ˜F=σΔ˜bb2σΔb2˜b˜ρtu1˜ρu1u1ρ2˜uu1.

    Setting ν=σ=1 in what follows.

    Step 1: Taking L2 inner product to the second equation of (3.1) with ˜u, we have

    12ddtρ2˜u2L2+˜u2L2=R2Δ˜bb2˜udxR2Δb2˜b˜udxR2˜ρtu1˜udxR2˜ρu1u1˜udxR2ρ2˜uu1˜udx. (3.2)

    By Hölder's and interpolation inequalities, we have

    R2Δ˜bb2˜udxR2Δb1˜b˜udxCΔ˜bL2b2L4˜uL4+CΔb1L4˜bL2˜uL4CΔ˜bL2b212L22b212L2˜u12L2˜u12L2+CΔb112L23b112L2˜bL2˜u12L2˜u12L218(Δ˜b,˜b)2L2+18˜u2L2+C(b22L22b22L2+3b12L22b12L2)˜u2L2. (3.3)

    Similarly,

    R2˜ρtu1˜udxR2˜ρu1u1˜udx˜ρL2(tu1L4+u1u1L4)˜uL4˜ρL2(tu1L2+tu1L2+u1LΔu1L2+u1Lu1L2)×(˜uL2+˜uL2)18˜u2L2+F1(t)˜ρ2L2+C˜u2L2, (3.4)

    where

    F1(t)=tu12L2+tu12L2+u12LΔu12L2+u12Lu12L2.

    Hölder's inequality implies

    R2ρ2˜uu1˜udxu1Lρ2˜u2L2. (3.5)

    By substituting above estimates (3.3)–(3.5) into (3.2), we have

    ddtρ2˜u2L2+˜u2L214Δ˜b2L2+14˜b2L2+CF2(t)˜u2L2+F1(t)˜ρ2L2, (3.6)

    where

    F2(t)=b22L22b22L2+3b12L22b12L2+u1L+1.

    Step 2: Taking L2 inner product to the third equation of (3.1) with ˜bΔ˜b, we obtain

    12ddt(˜b,˜b)2L2+(˜b,Δ˜b)2L2+R2[e(b2)e(b1)]˜bdx=R2u2˜bΔ˜bdxR2˜ub1(˜bΔ˜b)dx+R2[e(b2)e(b1)]Δ˜bdx. (3.7)

    We shall estimate each term on the right-hand side of (3.7). For the first term of (3.7), using Hölder's inequality, we have

    R2u2˜bΔ˜bdxu2L˜bL2Δ˜bL218Δ˜b2L2+Cu22L˜b2L2. (3.8)

    Meanwhile, we have

    R2[e(b2)e(b1)]˜bdx=R2e(ξ)˜b2dx>0, (3.9)

    where ξ is a function between b2 and b1.

    Moreover,

    R2˜ub1(˜bΔ˜b)dxC˜uL4b1L4(˜bL2+Δ˜bL2)18Δ˜b2L2+C˜b2L2+C˜uL2˜uL2b1L2Δb1L218Δ˜b2L2+C˜b2L2+18˜u2L2+C˜u2L2b12L2Δb12L2, (3.10)

    and

    R2[e(b2)e(b1)]Δ˜bdx=R2e(ξ)˜bΔ˜bdxC0˜bL2Δ˜bL214Δ˜b2L2+C˜b2L2. (3.11)

    By inserting (3.8)–(3.11) into (3.7), one yields

    12ddt(˜b,˜b)2L2+12(˜b,Δ˜b)2L2Cu22L˜b2L2+C˜b2L2+18˜u2L2+C˜u2L2b12L2Δb12L2. (3.12)

    Step 3: We will derive the estimate of ˜ρL2 as follows:

    12ddt˜ρ2L2˜uρ1L2˜ρL2˜uL4ρ1L4˜ρL2˜u12L2˜u12L2ρ1L4˜ρL214˜u2L2+Cρ143L4(˜ρ2L2+˜u2L2). (3.13)

    Step 4: Summing up the above estimates, that is, (3.6), (3.12), and (3.13), we obtain

    12ddt(˜ρ,ρ2˜u,˜b,˜b)2L2+(˜u,˜b,Δ˜b)2L2CF5(t)˜b2L2+C˜b2L2+CF4(t)˜u2L2+F3(t)˜ρ2L2C(1+F3(t)+F4(t)+F5(t))(˜ρ,ρ2˜u,˜b,˜b)2L2, (3.14)

    where

    F3(t)=tu12L2+tu12L2+u12LΔu12L2+u12Lu12L2+ρ143L4,F4(t)=b22L22b22L2+3b12L22b12L2+u1L+b12L2Δb12L2+ρ143L4+1,F5(t)=u22L.

    Noticing the fact that t0(1+F3(τ)+F4(τ)+F5(τ))dτCt+C and that f2LfL22fL2, we can obtain that there exists a small ϵ0 such that

    (˜ρ,ρ2˜u,˜b,˜b)L(L2)=0,

    for t[0,ϵ0]. Therefore, we obtain ˜ρ(t)=˜u(t)=˜b(t)0 for any t[0,ϵ0]. The uniqueness of such strong solutions on the whole time interval [0,+) then follows by a bootstrap argument.

    Moreover, the continuity with respect to the initial data may also be obtained by the same argument in the proof of the uniqueness, which ends the proof of Theorem 1.1.

    This paper focuses on two-dimensional inhomogeneous incompressible viscoelastic rate-type fluids with stress-diffusion. We have established its global solution, and the uniqueness of the solution in specific situations is also proved in this paper.

    Xi Wang and Xueli Ke: Conceptualization, methodology, validation, writing-original draft, writing-review & editing. All authors have read and approved the final version of the manuscript for publication.

    The authors would like to thank the anonymous referees for their suggestions which make the paper more readable.

    The authors have no relevant financial or non-financial interests to disclose. The authors have no competing interests to declare that are relevant to the content of this article.



    Conflict of interest



    The authors have no conflict of interest to declare.

    Authors' contribution



    The contributions of all authors have been invaluable to the completion of this paper. The corresponding author, served as both mentor and guide, provided critical support by thoroughly evaluating the work throughout the writing process and offering valuable insights that significantly aided the co-authors, ultimately leading to the successful publication of this article.

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