
Although fractional calculus is about three centuries old, it has become the key to understanding many complex real-world phenomena. During the past few decades, many fractional derivatives have appeared. Among these, the fractal-fractional derivatives have shown acceptance in describing some real-world problems. In this paper, the Caputo, Atangana-Baleanu, and Caputo-Fabrizio fractal-fractional operators were applied to generate complex dynamics in a 4D dynamical system. Some conditions for the exact solutions' existence and uniqueness were demonstrated when the fractal-fractional operators are implemented into the mentioned 4D dynamical system. Some Ulam-Hyers stability results were demonstrated in the indicated fractal-fractional systems. Computation processes were carried out to demonstrate some graphical results that showed the existence of several complex dynamics in the considered system as the fractal-fractional operators are implemented. Furthermore, the computations of the system's Lyapunov exponents and the bifurcation diagrams were used to illustrate the wide range of chaotic dynamics that exist in the considered fractal-fractional 4D system. Existence of hidden chaotic attractors were also found. This interesting dynamical phenomenon was validated by the bifurcation diagrams and basin set of attraction.
Citation: A. E. Matouk. Chaos and hidden chaos in a 4D dynamical system using the fractal-fractional operators[J]. AIMS Mathematics, 2025, 10(3): 6233-6257. doi: 10.3934/math.2025284
[1] | Anastasiia D. Kurenkova, Peter S. Timashev . Mast cells: A dark horse in osteoarthritis treatment. AIMS Allergy and Immunology, 2022, 6(4): 228-247. doi: 10.3934/Allergy.2022017 |
[2] | Andrey Mamontov, Alexander Polevshchikov, Yulia Desheva . Mast cells in severe respiratory virus infections: insights for treatment and vaccine administration. AIMS Allergy and Immunology, 2023, 7(1): 1-23. doi: 10.3934/Allergy.2023001 |
[3] | Peter Jandus . Arachidonic acid metabolism and its use in the diagnosis of mastocytosis. AIMS Allergy and Immunology, 2023, 7(1): 82-91. doi: 10.3934/Allergy.2023006 |
[4] | Sammi Wong, Sara Hasan, Christina Parducci, Bernadette Ann Riley . The gastrointestinal effects amongst Ehlers-Danlos syndrome, mast cell activation syndrome and postural orthostatic tachycardia syndrome. AIMS Allergy and Immunology, 2022, 6(2): 19-24. doi: 10.3934/Allergy.2022004 |
[5] | Amolak S Bansal, Alex Nicholas, Nazira Sumar, Veronica Varney . Mast cells, mediators, and symptomatic activation. AIMS Allergy and Immunology, 2024, 8(1): 34-55. doi: 10.3934/Allergy.2024004 |
[6] | Haiyan Guo, Mingsheng Lei, Jinan Ma, Hongchun Du, Youming Zhang . Allergy and ferroptosis. AIMS Allergy and Immunology, 2025, 9(1): 8-26. doi: 10.3934/Allergy.2025002 |
[7] | Federica Serra, Lisa Aielli, Erica Costantini . The role of miRNAs in the inflammatory phase of skin wound healing. AIMS Allergy and Immunology, 2021, 5(4): 264-278. doi: 10.3934/Allergy.2021020 |
[8] | Masahiro Seike . Histamine suppresses T helper 17 responses mediated by transforming growth factor-β1 in murine chronic allergic contact dermatitis. AIMS Allergy and Immunology, 2018, 2(4): 180-189. doi: 10.3934/Allergy.2018.4.180 |
[9] | Omer Qibi, Severine Audusseau, Andrea Mogas, Zoulfia Allakhverdi, Abdelilah Soussi Gounni, Saba Al Heialy, Qutayba Hamid . No evidence for IgE receptor FcεRI expression on bronchial epithelial cells of asthmatic patients. AIMS Allergy and Immunology, 2018, 2(4): 165-179. doi: 10.3934/Allergy.2018.4.165 |
[10] | Ken S. Rosenthal, Daniel H. Zimmerman . J-LEAPS vaccines elicit antigen specific Th1 responses by promoting maturation of type 1 dendritic cells (DC1). AIMS Allergy and Immunology, 2017, 1(2): 89-100. doi: 10.3934/Allergy.2017.2.89 |
Although fractional calculus is about three centuries old, it has become the key to understanding many complex real-world phenomena. During the past few decades, many fractional derivatives have appeared. Among these, the fractal-fractional derivatives have shown acceptance in describing some real-world problems. In this paper, the Caputo, Atangana-Baleanu, and Caputo-Fabrizio fractal-fractional operators were applied to generate complex dynamics in a 4D dynamical system. Some conditions for the exact solutions' existence and uniqueness were demonstrated when the fractal-fractional operators are implemented into the mentioned 4D dynamical system. Some Ulam-Hyers stability results were demonstrated in the indicated fractal-fractional systems. Computation processes were carried out to demonstrate some graphical results that showed the existence of several complex dynamics in the considered system as the fractal-fractional operators are implemented. Furthermore, the computations of the system's Lyapunov exponents and the bifurcation diagrams were used to illustrate the wide range of chaotic dynamics that exist in the considered fractal-fractional 4D system. Existence of hidden chaotic attractors were also found. This interesting dynamical phenomenon was validated by the bifurcation diagrams and basin set of attraction.
Atopic dermatitis (AD) affects nearly 31.6 million (10.1%) people in the United States [1] and of these, 18 million adults (7.2%) over the age of 18 have AD [2]. Gender disparities have been noted in the prevalence of AD with females being more prone during adulthood [3]–[12]. Data is lacking in males that supports mechanistic differences between the two sexes. Thus, many preclinical AD studies utilize female mice [13]–[14], with rare exceptions [14],[15].
The pathophysiology of AD involves epidermal barrier dysfunction, a Th2/Th22 helper cell immune response and genetic polymorphisms which have a more uncertain role [16],[17]. Current therapies for AD are developed for lesional skin, although non-lesional skin is perturbed [17]. We previously reported pre-lesional skin remodeling and increased activation of mast cells (MC), skin-resident innate immune cells, via the signaling of a potently bioactive sphingolipid metabolite, sphingosine-1-phosphate (S1P), observed in female mice after 1 week of OVA treatment [18],[19]. This novel finding uncovered histologic and biochemical perturbations occurring in the skin before the development of any overt lesions. Here, we report pre-lesional skin responses in male mice upon a similar short 7-day epicutaneous exposure to OVA. We found that, conversely to female mice [18],[19], males did not exhibit any pre-lesional disease-inducing skin remodeling or MC activation. Importantly, samples from our previous report on female mice [18] and from the current report on male mice were collected and analyzed at the same time, following a gender-matched experimental design. While we did not ascertain the mechanism leading to the observed gender disparity, we established histological and biochemical differences in OVA-exposed male mouse skin compared to females that may partly elucidate the sex differences substantiated in adult AD prevalence.
AD was induced in 8 to 12 weeks old male C57Bl/6J (WT) mice exactly as previously described and at the same time as the female mouse study [18],[20] (Charles River NCI, Frederick, MD, USA and The Jackson Laboratory Bar Harbor, ME, USA). Mouse randomization was performed using shuffled pieces of paper indicating treatment to assign mice to either experimental group. One by one centimeter square-sized gauze pad (“patch”) containing one hundred microliters of solution of either 100 µg OVA (Sigma-Aldrich, St Louis, MO, USA) or 0.9% saline vehicle only (saline control) was positioned on the shaved dorsal skin area after tape stripping. Patches were secured in position for seven days using a transparent dressing (Tegaderm, 3M HealthCare, St Paul, MN, USA) and bandages. Treated skin areas were harvested from euthanized mice. The AD model was validated as previously (our results [18] and [20]) through serum IgE level quantification in male mice that received three epicutaneous exposures, performed at the same time as in female mice. The full AD protocol consists in three rounds of one seven-day skin exposure via patch followed by fourteen days without patch. Circulating IgE levels were measured in sera from blood samples collected by cardiac puncture from euthanized mice and kept at −80 °C until use.
All protocols were approved by the University of South Carolina Institutional Animal Care and Use Committee (Protocol 2403-101303-010818, “Mast cells and sphingosine-1-phosphate in allergic inflammation”). All experiments were performed in accordance with guidelines and regulations.
Paraffin-embedded skin tissues were fixed with fresh paraformaldehyde (4%) and cut into 4 µm sections. Some sections were hematoxylin and eosin (H&E)-stained for morphometric analysis as previously described [18]. Others were stained with 0.1% methylene blue (MB) for 5 seconds, rinsed with water, dehydrated, and coverslip-mounted to locate MC and MC activation status [18],[21],[22]. All imaging and measurements were performed by blinded investigators. Imaging was performed at 10× and 40× magnifications using a Nikon E-600 microscope (Nikon Inc., Melville, NY) and a Micropublisher digital camera model 5.0. The QImaging software version 2.0.13 (QImaging Corp., Surrey, BC, Canada) was utilized for image analysis of 24-bit color or 8-bit monochrome images. The MetaMorph® 6.1 software (Molecular Devices, Sunnyvale, CA, USA) and the HarFa imaging software (www.fch.vutbr.cz/lectures/imagesci/) were employed to calculate morphometric and fractal parameters of nuclei allowing for infiltration quantification and measure MC status. Infiltration was measured in 25 to 30 ROIs per image using at least twelve 40× images per skin section and 4 skin sections per 2 mice from each treatment group. MC activation status (percent degranulation) was calculated in situ after analyzing fifty 40× images and 310 to 485 total MC present in 4 skin sections from 2 mice in each treatment group [18],[22].
Epidermis, dermis, and hypodermis thickness was measured in saline- and OVA-treated samples with an ocular micrometer (Klarmann Rulings, Inc., Litchfield, NH, USA), exactly as described [18],[22]. The average thickness was calculated from 3 to 5 measurements (n = 3–5 mice per treatment group for each skin layer).
We adapted our innovative imaging methods [22] to measure hypodermal cellular infiltration [18], using at least twelve high-magnification H&E images per individual mouse. First, the set-color-threshold subroutine (MetaMorph software) was used to isolate nuclei by color thresholding [18]. Next, the hypodermis in each section was surveyed using a fixed 75 µm diameter-sized region of interest (ROI) [18]. Thus, 25 to 30 ROIs were evaluated per skin section for a total of 2 sections per slide, using 2 slides for each individual mouse and 2 mice for each treatment group. Our previous work validated the morphometric parameters of area, perimeter, and integrated optical density (MetaMorph software's Integrated Morphometry Analysis subroutine) for accurate quantification of nuclei with elimination of nonspecific staining [18].
After thresholding (Section 2.5), fractal dimensions (D) were measured after 8-bit grayscale image conversion exactly as previously described [18],[22].
We established an imaging method to quantitatively described the cytoplasm of MC using fractal geometry [22], demonstrating that a fractal dimension (D) value of 1.378 ± 0.062 specifically designated intact/resting MC, whereas a D value of 1.484 ± 0.048 characterized degranulated/activated MC [22]. Here, we used these D values for nonsubjective measure of MC activation in male skin tissue samples (n = 2 to 5 mice per treatment group).
Harvested skin tissue samples were immediately snap-frozen, and kept at −80 °C until use. Total RNA was extracted from 4 to 10 mice per treatment group using the miRNeasy kit (Qiagen, Valencia, CA, USA) and cDNA synthesized by reverse transcription (iScript cDNA synthesis kit, Bio-Rad, Hercules, CA, USA). A CFX Connect (Bio-Rad) was used to perform qPCR (duplicate determinations), using SensiFAST™ SYBR No-ROX Kit (Bioline, Taunton, MA, USA). We used the following primers (all purchased from Thermo Fisher Scientific, Inc., Waltham, MA, USA). for qPCR amplification: GAPDH forward primer CAGAAGGGGCGGAGATGAT and reverse primer AGGCCGGTGCTGCTGAGTATGTC, FcϵRIα forward primer ATTGTGAGTGCCACCGTTCA and reverse primer GCAGCCAATCTTGCGTTACA, CCL2 forward primer CACTCACCTGCTGCTACTCA and reverse primer GCTTGGTGACAAAAACTACAGC, CCL3 forward primer GCCATATGGAGCTGACACCC and reverse primer TAGTCAGGAAAATGACACCTGGC, and CCL5 forward primer TGCCCTCACCATCATCCTCACT and reverse primer GGCGGTTCCTTCGAGTGACA. We used the following qPCR conditions: initial step at 95 °C for 5 minutes and 40 cycles, as follows: 10 seconds at 95 °C, followed by annealing for 1 minute at 55 °C and extension for 1 minute at 72 °C. Data were analyzed with CFX Manager™ Software, after normalization to control (saline-treated) samples and to the amount of reference gene, GAPDH mRNA levels.
CCL2, CCL3 and CCL5 chemokine quantifications were conducted in mouse serum and whole skin protein extracts prepared exactly as previously described [18], using a Bio-Plex Array Reader (LUMINEX 100; Bio-Rad Laboratories, Hercules, CA, USA) and Milliplex panels (EMD Millipore, Billerica, MA, USA). Whole skin protein extracts were weighed and immediately snap-frozen using liquid nitrogen. After homogenization with a mortar and pestle, skin samples were digested for 2 hours at 4 °C in reporter lysis buffer (Promega, Madison, WI, USA) supplemented with complete mini-protease inhibitors (Roche Diagnostics, Indianapolis, IN, USA). Supernatants were kept at −80 °C until use.
Total IgE was quantified in mouse serum by ELISA (R&D Systems, Minneapolis, MN, USA). N = 6 and 9 mice per experimental group for 1 and 3 exposures, respectively.
Lipids were extracted from snap-frozen skin tissues and S1P or sphingosine was quantified by liquid chromatography-electrospray ionization-tandem mass spectrometry (4000 QTRAP; AB Sciex, Foster City, CA, USA), as before [18], and normalized to skin sample weights. Saline and OVA solutions contained no detectable levels of S1P or sphingosine (data not shown). N = 3 to 4 samples per experimental group.
Expressed as means ± SEM (unless otherwise indicated), data was analyzed using the unpaired 2-tailed Student's t-test, with Welch's correction for samples of unequal variance (Prism 6; GraphPad Software, La Jolla, CA, USA). Significance for all statistical tests is provided in figures. Each experiment was repeated at least 3 times in triplicate determinations with consistent results.
We previously demonstrated that the epidermis and dermis were thickened in female mice after a single dose of OVA applied to the skin [18]. Moreover, there was an increase in cellular infiltration particularly around blood vessels (BV) [18]. Representative images of H&E-stained saline (Figure 1a) and OVA (Figure 1b) exposed male mice skins illustrate that no significant change was evidenced in epidermal, dermal or hypodermal thickness after 1 week of OVA treatment compared to controls (Figure 1c), in contrast to our reported findings in female mice collected at the same time [18]. We then measured cellular infiltration in the hypodermis by color thresholding the nuclei in the entire hypodermis of H&E-stained skin sections, exactly as previously described [18]. We report increased cellular infiltration in the hypodermis and around BV (Figure 1d–e) after OVA exposure of male dorsal skins, compared to saline controls. In order to independently confirm these results, we applied yet another of our previously published computerized imaging modalities to quantify cellular mass, a proxy for cell numbers/infiltration, by means of fractals, or space filling capacity [18],[22]. Cellular infiltration of the hypodermis (Figure 1d–e) was confirmed by an increase in cellular mass, expressed as augmented fractal dimension (D) values in the hypodermis and around BV (Figure 1f) after OVA treatment and compared to saline controls.
We previously reported that mRNA levels coding for FcϵRIα, the IgE-binding sub-unit of the high-affinity receptor for IgE reflected local MC numbers in this animal model of AD [18], yet were not significantly increased after OVA treatment, neither was MC degranulation (Figure 2b,d) compared to saline controls (Figure 2a,c) and in contrast to female mice [18].
As expected, the serum levels of IgE were not increased after one single OVA exposure but were increased after 3 OVA exposures (Figure 3a). Thus, we previously established that skin MC degranulation at this early stage of AD was not due to the classical IgE/Ag activation pathway but rather depended on S1P signaling in MC [18],[19]. Unaltered MC degranulation in male skin was concurrent to unchanged local levels of sphingolipid metabolites sphingosine (Figure 3b) and S1P (Figure 3c) and Sphk1 mRNA after OVA treatment compared to saline controls (Figure 3d), confirming the newly identified mechanistic insights we reported that pertained to AD onset [18],[19].
The elevation of local cytokines/chemokines drives the development of AD, whereas their systemic augmentation correlates with disease progression and/or severity [17]. We previously demonstrated that airway [23] and skin [18] inflammatory responses were linked to local rather than systemic elevation of chemokines, thus demonstrating their pathogenic function in atopy. Whereas local levels of CCL2 (Figure 4a,b), CCL3 (Figure 4a,c) and CCL5 (Figure 4a,d) chemokines did not augment upon OVA skin treatment, circulating CCL2, CCL3 and CCL5 were significantly elevated in OVA-exposed male mice skin, compared to saline controls (Figure 4e).
Female mice are predominantly used in established preclinical models of AD that encompass epicutaneous applications of OVA [20], partly because they feature stronger antigen-dependent cutaneous inflammatory responses than males, similar to the female preponderance of AD observed in adolescent and adult humans [12],[24]–[26]. Although no single murine model fully recapitulates all dysregulated immune and barrier functions of human AD skin, OVA-challenged mice replicate activation of inflammatory pathways observed in patients with AD. Moreover, OVA as an AD-inducing agent can be used on different mouse backgrounds to account for genetic variability allowing to identify key players of cutaneous inflammation [14]. In gender-matched experiments, we noticed that male mice do not feature the same histopathological patterns seen in female mice. Pre-lesional skin changes occurring in males after one OVA exposure include hypodermal cell infiltration without epidermal or dermal thickening, suggesting a difference in the nature or the distribution of infiltrating cells between the two sexes. One limitation of our study is that we did not identify the cell types that were increased in the hypodermis. However, reports in mice identified eosinophils, MC and CD3+CD4+ cells [27] and human skin samples featured CD3+ T-cells and CD11c+ dendritic cells in non-lesional skin from patients with AD [28]. Skin changes occurring over time featured gradual chemokine increase, including CCL3 in female Balb/c mice after OVA treatment [27], in agreement with our data [18]. The paucity of reports analyzing the sequence of skin alterations at the onset of AD mouse models in males is noteworthy. Local CCL2, CCL3 and CCL5 mRNA and CCL2 and CCL3 protein levels were elevated in female mice [18] but not in male mice (our current study). These chemokines have been shown to induce recruitment of macrophages, granulocytes, CD3+ and CD4+ cells [23],[29]. Importantly, MC secrete these chemokines [30] and our group previously reported that S1P-mediated MC activation is essential to their local production in early allergic responses of the lung [23] and the skin [18]. In humans, data is mainly collected using skin samples from patients affected with moderate-to-severe AD, with overt skin lesions. Interestingly, many inflammatory chemokines, including CCL2, CCL3 and CCL5 are associated with human chronic, supporting leukocyte recruitment [31]. More recently, seminal studies focusing on the analysis of nonlesional skin specimens collected from patients with lesional AD, also demonstrated an increased inflammatory T cell infiltration, with elevated CCL5, CCL11, CCL17, CCL18 and CCL22 [28]. However, the authors acknowledged that their dataset does not reveal the key chemokines involved in primary pathogenesis of AD, which our studies are focusing on. Using immunohistochemistry, Su et al. established the chemokine profiles to study the evolution of T cell subsets in skin biopsies of 48 patients and their association with the progression of human AD from acute to chronic disease [32]. CCL5 was associated with sub-acute AD. Our current study established that male skin MC are not activated after a single OVA exposure, further supporting that MC activation does promote pre-lesional skin remodeling through local chemokine elevation. It has been postulated that increased local chemokine levels may result in systemic dissemination and elevated serum levels [33]. However, male mice did not display any elevation of local chemokines despite augmented serum levels. Brunner et al. suggested the occurrence of a mutual regulation with correlation of blood and skin markers in lesional and nonlesional human AD skin [34]. In this study, chemokines shared concomitant regulation between chronic lesional skin and serum in patients with moderate-to-severe AD. The authors found a strong systemic inflammation with elevated skin chemokine levels in this cohort of overweight patients, a plausible explanation for a pre-existing systemic inflammatory state. Because AD leads to systemic inflammation, Lauffer et al. proposed to use serum levels of chemokines, including CCL2, CCL3 and CCL5, as possible predictors of AD persistence in children [35]. However, no data was provided pertaining to skin-associated chemokine levels. Our data suggests that systemic detection of chemokines may perhaps mark resistance to AD development whereas local elevation may denote AD onset, susceptibility or a sign of active disease. Little is known about the dynamics of chemokine production in serum and in skin tissue or about the relative contributions of skin resident cells to inflammation development during the pre-lesional phase of AD, which both warrant further investigation.
It is noteworthy that serum IgE levels are elevated in ~80% of patients with AD however, IgE levels do not necessarily correlate with disease severity [16]. In male mice, IgE levels were significantly elevated after 3 OVA patches, thus validating this AD model for both genders, although three skin exposures to OVA induced 2.5 times more serum IgE in female [18] compared to male mice (Figure 3a). Similar to our findings in female mice and as expected, a single OVA skin exposure did not suffice to elevate serum IgE levels in male mice (Figure 3a).
Previous reports have demonstrated that epidermal thickening is observed in AD lesions with or without the presence of MC in filaggrin-deficient mice, rendering MC dispensable in this genetic model [36]. Notably, the disruption of the epidermal barrier due to filaggrin deficiency preceded any local MC activation in this model. It is tempting to speculate that MC may further perturb the skin barrier to enable AD. In contrast, other reports concluded that MC were protective to the epidermal barrier, also suggesting that MC mediators regulated skin barrier integrity [37]. However, the mouse gender was not revealed in their study where transgenic rather than allergen-induced AD models were employed, perhaps contributing to MC function discrepancies. Indeed, AD lesions feature neo-angiogenesis with MC-associated vascular endothelial growth factor-A (VEGF) [38]. In human AD lesions, epidermal thickening is observed, independently of MC localization to the epidermis [39]. In our current study, increased cellular infiltrate in the hypodermis and around BV was seen, as in female mice [18], but the absence of male skin remodeling was linked to lack of MC activation and of local CCL2, CCL3 and CCL5 mRNA and proteins.
We previously identified a novel signaling pathway in MC by which SphK1-produced S1P from substrate sphingosine binds S1P receptor 2 (S1PR2) [23],[39]–[43], signaling through signal transducer and activator of transcription 3 to release CCL2, CCL3, CCL5, resulting in T-cell recruitment [23]. S1P/S1PR2 signaling in MC also triggered VEGF and matrix metalloproteinase 2 release, further pointing to an important role for MC in pre-lesional AD skin remodeling [44]. However, the MC/S1P axis was not disease inducing in male mice using the OVA-induced AD model, as skin levels of sphingosine, S1P or mRNA coding for SphK1 were not elevated. Moreover, MC degranulation was not augmented after OVA compared to control male mice, further supporting a critical role for S1P-mediated MC activation in pre-lesional AD skin remodeling, as observed in female mice. Nonetheless, OVA exposure did increase hypodermal cellular infiltration and systemic chemokine levels in male mice and three OVA exposures resulted in elevated serum IgE. Together, our results suggest that male mice may undergo an attenuated and/or delayed skin inflammation due to the absence of MC activation. Indeed, previous studies suggest that female sex hormones may exacerbate Th2 inflammation. Subcutaneous estradiol injection initiates allergic sensitization [45] and estradiol promotes in vitro MC degranulation [46],[47]. Anaphylactic responses are also more severe in female than male mice [48].
There are potential limitations to this study. First, we are well aware that the mechanisms that underlie sex-related differences in skin disease and inflammation, while, mostly unknown, have not been addressed here. In addition to sex hormones as discussed above, genetic background and differences in skin barrier properties may also contribute to these differences. A better understanding of sex-related differences in skin inflammation may help better prevent, diagnose, and treat inflammatory skin diseases. Second, while we previously demonstrated an essential role for SphK1 in the upregulation of skin S1P levels after stimulation [18], SphK1 was similarly yet only assessed transcriptionally. Nonetheless, the unaltered levels of skin S1P after stimulation strongly supported an essential role for SphK1 in S1P elevation over any other isoform of SphK. Collectively, the current study demonstrates contrasted pathogenic mechanisms enabling skin inflammation in preclinical AD in male mice, compared to reports using female mice [18],[19].
Clinical evidence had demonstrated that anti-IgE biologics do not affect the course of AD [16],[49], but may have therapeutic potential at high doses [50]. Thus, identifying S1P as a key MC stimulus of pre-lesional skin remodeling may be an important milestone in our understanding of factors that govern the transition from healthy to AD-prone skin. Estrogen exerts immunomodulatory functions on IgE-independent MC degranulation and chemokine production and higher susceptibility of human and mouse females to multiple sclerosis is due to higher production of S1PR2 compared to males [10], further supporting important inflammatory disease enabling functions of the MC/S1P axis.
Our data suggests that S1P-mediated activation of MC is a critical event in early-stage AD, absent in male mice, perhaps relevant to higher prevalence of AD in females, supporting MC intervention to regulate the magnitude and/or perhaps time course [51] of inflammatory skin responses in a gender-dependent manner.
[1] | G. Pertz, C. J. Gerhardt, Briefwechsel zwischen Leibniz, Hugens van Zulichem und dem Marquis de l'Hospital, Leibnizens gesammelte Werke, 1849. |
[2] |
M. Caputo, Linear models of dissipation whose Q is almost frequency independent-II, Geophys. J. R. Astron. Soc., 13 (1967), 529–539. https://doi.org/10.1111/j.1365-246X.1967.tb02303.x doi: 10.1111/j.1365-246X.1967.tb02303.x
![]() |
[3] |
M. Caputo, M. Fabrizio, A new definition of fractional derivative without singular kernel, Prog. Fract. Differ. Appl., 1 (2015), 73. http://dx.doi.org/10.12785/pfda/010201 doi: 10.12785/pfda/010201
![]() |
[4] |
A. Atangana, D. Baleanu, Caputo-Fabrizio derivative applied to groundwater flow within confined aquifer, J. Eng. Mech., 143 (2017), D4016005. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001091 doi: 10.1061/(ASCE)EM.1943-7889.0001091
![]() |
[5] |
A. Atangana, Fractal-fractional differentiation and integration: connecting fractal calculus and fractional calculus to predict complex system, Chaos Soliton. Fract., 102 (2017), 396–406. https://doi.org/10.1016/j.chaos.2017.04.027 doi: 10.1016/j.chaos.2017.04.027
![]() |
[6] | C. Sparrow, The Lorenz equations: Bifurcation, chaos and strange attractor, New York: Springer-Verlag, 1982. |
[7] | A. Wolf, J. B. Swift, H. L. Swinney, J. A. Vastano, Determining Lyapunov exponents from a time series, Phys. D, 16 (1985) 285–317. |
[8] | E. N. Lorenz, Deterministic non-periodic flow, J. Atmospheric Sci., 20 (1963), 130–141. |
[9] | O. E. Rössler, An equation for continuous chaos, Phys. Lett. A, 57 (1976), 397–398. |
[10] |
A. E. Matouk, H. N. Agiza, Bifurcations, chaos and synchronization in ADVP circuit with parallel resistor, J. Math. Anal. Appl., 341 (2008), 259–269. https://doi.org/10.1016/j.jmaa.2007.09.067 doi: 10.1016/j.jmaa.2007.09.067
![]() |
[11] |
A. E. Matouk, Dynamics and control in a novel hyperchaotic system, Int. J. Dyn. Cont., 7 (2019), 241. https://doi.org/10.1007/s40435-018-0439-6 doi: 10.1007/s40435-018-0439-6
![]() |
[12] |
I. Grigorenko, E. Grigorenko, Chaotic dynamics of the fractional Lorenz system, Phys. Rev. Lett., 91 (2003), 034101. https://doi.org/10.1103/PhysRevLett.91.034101 doi: 10.1103/PhysRevLett.91.034101
![]() |
[13] |
W. Zhang, S. Zhou, H. Li, H. Zhu, Chaos in a fractional-order Rössler system, Chaos Soliton. Fract., 42 (2009), 1684–1691. https://doi.org/10.1016/j.chaos.2009.03.069 doi: 10.1016/j.chaos.2009.03.069
![]() |
[14] |
A. E. Matouk, Chaos, feedback control and synchronization of a fractional-order modified autonomous Van der Pol-Duffing circuit, Commun. Nonlinear Sci. Numer. Simulat., 16 (2011), 975–986. https://doi.org/10.1016/j.cnsns.2010.04.027 doi: 10.1016/j.cnsns.2010.04.027
![]() |
[15] |
A. E. Matouk, A novel fractional-order system: Chaos, hyperchaos and applications to linear control, J. Appl. Comput. Mech., 7 (2021), 701–714. https://doi.10.22055/JACM.2020.35092.2561 doi: 10.22055/JACM.2020.35092.2561
![]() |
[16] |
S. Qureshi, A. Atangana, Fractal-fractional differentiation for the modeling and mathematical analysis of nonlinear diarrhea transmission dynamics under the use of real data, Chaos Soliton. Fract., 136 (2020), 109812. https://doi.org/10.1016/j.chaos.2020.109812 doi: 10.1016/j.chaos.2020.109812
![]() |
[17] |
A. Sami, A. Ali, R. Shafqat, N. Pakkaranang, M. Rahmamn, Analysis of food chain mathematical model under fractal fractional Caputo derivative, Math. Biosci. Eng., 20 (2022), 2094–2109. https://doi.org/10.3934/mbe.2023097 doi: 10.3934/mbe.2023097
![]() |
[18] |
N. Almutairi, S. Saber, H. Ahmad, The fractal-fractional Atangana-Baleanu operator for pneumonia disease: Stability, statistical and numerical analyses, AIMS Math., 8 (2023), 29382–29410. https://doi.org/10.3934/math.20231504 doi: 10.3934/math.20231504
![]() |
[19] |
M. Arif, P. Kumam, W. Kumam, A. Akgul, T. Sutthibutpong, Analysis of newly developed fractal-fractional derivative with power law kernel for MHD couple stress fluid in channel embedded in a porous medium, Sci. Rep., 11 (2021) 20858. https://doi.org/10.1038/s41598-021-00163-3 doi: 10.1038/s41598-021-00163-3
![]() |
[20] |
A. Khan, K. Shah, T. Abdeljawad, I. Amacha, Fractal fractional model for tuberculosis: existence and numerical solutions, Sci. Rep., 14 (2024) 12211. https://doi.org/10.1038/s41598-024-62386-4 doi: 10.1038/s41598-024-62386-4
![]() |
[21] |
K. Shah, T. Abdeljawad, On complex fractal-fractional order mathematical modeling of CO2 emanations from energy sector, Phys. Scripta, 99 (2024) 015226. https://doi.org/10.1088/1402-4896/ad1286 doi: 10.1088/1402-4896/ad1286
![]() |
[22] |
A. Dlamini, E. F. D. Goufo, M. Khumalo, On the Caputo-Fabrizio fractal fractional representation for the Lorenz chaotic system, AIMS Math., 6 (2021) 12395–12421. https://doi.org/10.3934/math.2021717 doi: 10.3934/math.2021717
![]() |
[23] |
I. Ul Haq, N. Ali, H. Ahmad, Analysis of a chaotic system using fractal-fractional derivatives with exponential decay type kernels, Math. Model. Control, 2 (2022) 185–199. https://doi.org/10.3934/mmc.2022019 doi: 10.3934/mmc.2022019
![]() |
[24] |
S. Saber, Control of chaos in the Burke-Shaw system of fractal-fractional order in the sense of Caputo-Fabrizio, J. Appl. Math. Comput. Mech., 23 (2024) 83–96. https://doi.org/10.17512/jamcm.2024.1.07 doi: 10.17512/jamcm.2024.1.07
![]() |
[25] | A. Granas, J. Dugundji, Fixed point theory, New York: Springer, 2005. |
[26] |
A. Atangana, S. Qureshi, Modeling attractors of chaotic dynamical systems with fractal-fractional operators, Chaos Soliton. Fract., 123 (2019), 320–337. https://doi.org/10.1016/j.chaos.2019.04.020 doi: 10.1016/j.chaos.2019.04.020
![]() |
[27] |
N. V. Kuznetsov, G. Leonov, Hidden attractors in dynamical systems: systems with no equilibria, multistability and coexisting attractors, IFAC Proc., 47 (2014), 5445–5454. https://doi.org/10.3182/20140824-6-ZA-1003.02501 doi: 10.3182/20140824-6-ZA-1003.02501
![]() |
1. | Christopher D. Carlucci, Yvonne Hui, Alena P. Chumanevich, Piper A. Robida, John W. Fuseler, Mathew Sajish, Prakash Nagarkatti, Mitzi Nagarkatti, Carole A. Oskeritzian, Resveratrol Protects against Skin Inflammation through Inhibition of Mast Cell, Sphingosine Kinase-1, Stat3 and NF-κB p65 Signaling Activation in Mice, 2023, 24, 1422-0067, 6707, 10.3390/ijms24076707 |