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Publications (4 of 4) Show all publications
Iftikhar, M., Iftikhar, S., Sohail, A. & Javed, S. (2020). AI- modelling of molecular identification and feminization of wolbachia infected Aedes aegypti. Progress in Biophysics and Molecular Biology, 150, 104-111
Open this publication in new window or tab >>AI- modelling of molecular identification and feminization of wolbachia infected Aedes aegypti
2020 (English)In: Progress in Biophysics and Molecular Biology, ISSN 0079-6107, E-ISSN 1873-1732, Vol. 150, p. 104-111Article, review/survey (Refereed) Published
Abstract [en]

Background: The genetic control strategies of vector borne diseases includes the replacement of a vector population by disease-refractory mosquitoes and the release of mosquitoes with a gene to control the vector's reproduction rates. Wolbachia are common intracellular bacteria that are found in arthropods and nematodes. Wolbachia infected male mosquitos have been used in different experimental trials around the world to suppress the target population of Aedes aegypti and this genetic control strategy has proved to be a promising alternative to other treatment strategies. Due to certain limitations, the successful application of this strategy is still awaited. Methods: Mathematical frame work for Wolbachia induced genetic control strategy has been developed in this article. With the aid of Artificial Intelligence (Al) tools, accurate parametric values are depicted. For the first time, the model is well synchronized with the experimental findings. The model is comprised of the generalized varying coefficient and multiple mating rates between infected and uninfected compartments of Aedes aegypti dengue to forecast the disease control. Results: Two mathematical models are developed in this article to demonstrate different mating rates of the genetic control strategy. The important parameters and time varying coefficients are well demonstrated with the aid of numerical computations. The resulting thresholds and forecasting may prove to be a useful tool for future experimental studies. Conclusions: From our analysis, we have concluded that the genetic control strategy is a promising technique and the role of Wolbachia infected male mosquitos, in genetic control strategies, can be better interpreted in an inexpensive manner with the aid of a theoretical model.

Keywords
Dengue reproduction inhibition, Genetic control, Dynamical analysis, Kinetic modelling, Numerical simulations
National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-179687 (URN)10.1016/j.pbiomolbio.2019.07.001 (DOI)000510957500009 ()31302148 (PubMedID)
Available from: 2020-03-05 Created: 2020-03-05 Last updated: 2022-02-17Bibliographically approved
Javed, S., Sohail, A., Asif, A. & Nutini, A. (2020). Biophysics and the nonlinear dynamics instigated by a special hormone. Progress in Biophysics and Molecular Biology, 150, 62-66
Open this publication in new window or tab >>Biophysics and the nonlinear dynamics instigated by a special hormone
2020 (English)In: Progress in Biophysics and Molecular Biology, ISSN 0079-6107, E-ISSN 1873-1732, Vol. 150, p. 62-66Article, review/survey (Refereed) Published
Abstract [en]

Calcitonin, a potent hypocalcemic hormone, plays a vital role in inhibiting osteoclastic activities and suppressing bone removal. The physiological characteristics of calcitonin have long been discussed, along a few recommending calcitonin as a vestigial hormone. The basis for this article is to discuss the role of low and high levels of calcitonin in normal and osteoprotic bone turnover. The effect of calcitonin on the receptor activator of nuclear factor kappa-ligand and osteoclasts has been demonstrated using numerical simulations. This behavior recommends that treatment of osteoporosis via calcitonin does not provide the required upshots. For effectiveness calcitonin must be advised along with a combined therapy like aspirin which agrees with the experimental results available in the literature.

Keywords
Calcitonin, Bone remodeling, Osteoporosis, Mathematical modeling, Multiscale analysis
National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-179686 (URN)10.1016/j.pbiomolbio.2019.05.005 (DOI)000510957500005 ()31121190 (PubMedID)
Available from: 2020-03-05 Created: 2020-03-05 Last updated: 2022-02-17Bibliographically approved
Javed, S., Younas, M., Bhatti, M. Y., Sohail, A. & Sattar, A. (2019). Analytic approach to explore dynamical osteoporotic bone turnover. Advances in Difference Equations, Article ID 61.
Open this publication in new window or tab >>Analytic approach to explore dynamical osteoporotic bone turnover
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2019 (English)In: Advances in Difference Equations, ISSN 1687-1839, E-ISSN 1687-1847, article id 61Article in journal (Refereed) Published
Abstract [en]

The dynamics of the osteoporotic bone turnover is studied in this paper with the aid of stability analysis of the associated mathematical model. Osteoporosis, which is a common bone disorder, is studied in this papper in detail with an emphasis on the relative threshold values. We examine the expository signaling among the bone cells named osteoclast and osteoblast. Main functioning of osteoblasts is bone formation, whereas osteoclasts are bone removal cells. Mathematical framework for osteoporotic bone turnover comprising of the communication between osteoclasts and osteoblasts has been presented to exhibit the conditions for stability in bone turnover. The percentage ratios of the population of osteoblasts/osteoclasts have been determined via numerical simulations. The remedial upshots of targeting osteoporotic cells participating in such process are examined. From our analysis we have conclude that the role of external agents in treating the diseased bone can be better interpreted with the aid of a theoretical model.

Keywords
Bone remodeling, Osteoporosis, Stability analysis, Numerical simulations
National Category
Mathematics
Identifiers
urn:nbn:se:su:diva-166707 (URN)10.1186/s13662-019-1986-7 (DOI)000459046600001 ()
Available from: 2019-03-19 Created: 2019-03-19 Last updated: 2022-03-23Bibliographically approved
Idrees, M., Sohail, A. & Javed, S. (2019). Forecasting the critical role of intermittent therapies for the control of bone resorption. Clinical Biomechanics, 68, 128-136
Open this publication in new window or tab >>Forecasting the critical role of intermittent therapies for the control of bone resorption
2019 (English)In: Clinical Biomechanics, ISSN 0268-0033, E-ISSN 1879-1271, Vol. 68, p. 128-136Article in journal (Refereed) Published
Abstract [en]

Background: Osteoporosis is a chronic metabolic disease characterized by an imbalance of bone resorption and formation, leading to bone fragility and increased susceptibility to fracture. Parathyroid hormone is approved therapy for the treatment of osteoporosis.

Methods: The intermittent therapy of parathyroid hormone requires accurate administration. Meta-analysis is conducted to draw a clear picture of the impact of intermittent therapy and dose rates relative to time, on the osteoporotic patients. A novel mathematical model is presented in this article synchronised with the parametric values, depicted from meta-analysis.

Findings: Results obtained from the mathematical model are in close agreement with the results obtained from the clinical trials. The model can be used to forecast the drug potency and dosage rates, to control the vicious cycle of osteoporosis.

Interpretations: The intermittent administration of parathyroid hormone, rather than the continuous administration, is more effective, furthermore it is also concluded that a mathematical model, linked with the extensive literature of clinical trials, using meta-analysis can help in drug administration and future clinical studies of drug development.

Keywords
Biomechanics, Bone remodeling, Osteoporosis, Meta-analysis, Mathematical modeling
National Category
Orthopaedics Endocrinology and Diabetes
Identifiers
urn:nbn:se:su:diva-175120 (URN)10.1016/j.clinbiomech.2019.04.023 (DOI)000485852300018 ()31200297 (PubMedID)
Available from: 2019-10-14 Created: 2019-10-14 Last updated: 2022-02-17Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0985-2712

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