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1.
Lupus ; 18(4): 364-7, 2009 Apr.
Article in English | MEDLINE | ID: mdl-19276306

ABSTRACT

Vasculitis of the ovary is a rare condition that can occur as an isolated finding or in association with systemic vasculitis. We describe a case of a 36-year-old female with vasculitis involving the left ovary on a background of severe active systemic lupus erythematosus (SLE). Despite a florid histopathological picture of ovarian vasculitis, the clinical and imaging findings were nonspecific. We have compared the current case to the literature on ovarian vasculitis, including relating to SLE. Ovarian vasculitis in SLE may be an underestimated entity as it may not be looked for routinely in the context of vasculitic involvement of other organs.


Subject(s)
Lupus Erythematosus, Systemic/complications , Ovarian Diseases/etiology , Vasculitis/etiology , Adult , Fatal Outcome , Female , Humans , Lupus Erythematosus, Systemic/physiopathology , Ovarian Diseases/diagnosis , Ovarian Diseases/physiopathology , Vasculitis/diagnosis , Vasculitis/physiopathology
2.
J Math Biol ; 42(5): 387-423, 2001 May.
Article in English | MEDLINE | ID: mdl-11419617

ABSTRACT

In this paper we examine spatio-temporal pattern formation in reaction-diffusion systems on the surface of the unit sphere in 3D. We first generalise the usual linear stability analysis for a two-chemical system to this geometrical context. Noting the limitations of this approach (in terms of rigorous prediction of spatially heterogeneous steady-states) leads us to develop, as an alternative, a novel numerical method which can be applied to systems of any dimension with any reaction kinetics. This numerical method is based on the method of lines with spherical harmonics and uses fast Fourier transforms to expedite the computation of the reaction kinetics. Numerical experiments show that this method efficiently computes the evolution of spatial patterns and yields numerical results which coincide with those predicted by linear stability analysis when the latter is known. Using these tools, we then investigate the rjle that pre-pattern (Turing) theory may play in the growth and development of solid tumours. The theoretical steady-state distributions of two chemicals (one a growth activating factor, the other a growth inhibitory factor) are compared with the experimentally and clinically observed spatial heterogeneity of cancer cells in small, solid spherical tumours such as multicell spheroids and carcinomas. Moreover, we suggest a number of chemicals which are known to be produced by tumour cells (autocrine growth factors), and are also known to interact with one another, as possible growth promoting and growth inhibiting factors respectively. In order to connect more concretely the numerical method to this application, we compute spatially heterogeneous patterns on the surface of a growing spherical tumour, modelled as a moving-boundary problem. The numerical results strongly support the theoretical expectations in this case. Finally in an appendix we give a brief analysis of the numerical method.


Subject(s)
Computer Simulation , Models, Biological , Animals , Cell Division/drug effects , Cell Division/physiology , Growth Inhibitors/pharmacology , Growth Substances/pharmacology , Humans , Neoplasms/immunology , Neoplasms/pathology , Numerical Analysis, Computer-Assisted
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