Mjo Innovation Limited

Nortel Networks Corporation

Mjo Innovations Limited

Graham Taylor

Ajit Lalvani

Hilary Sian Whitworth

Katrina Mary Pollock

Nigel Robert Davis

Leilani Arambepola

There is provided methods of determining tuberculosis (TB) infection status in an individual comprising: (i) providing a sample comprising T-cells; (ii) exposing the sample of (i) to one or more TB antigens; (iii) identifying T-cells in the sample that are CD4 positive and (a) secrete TNF-&#x3b1; without secreting IFN-&#x3b3;; or (b) secrete IFN-&#x3b3; without secreting TNF-&#x3b1;; (iv) identifying those cells of (iii) which are also CCR7 and, CD127 negative; and optionally (v) calculating the cells identified in (iv) as a percentage of those identified in (iii); wherein the identification of cells in (iv) and/or the percentage of T-cells calculated in (v) correlates to TB infection status of the individual, and wherein steps (iii) and (iv) can be carried out either sequentially or simultaneously. There are also provided compositions and kits for use in such methods.

Methods and kits for determining tuberculosis infection status

There is provided methods of determining(TB) infection status in an individual comprising: (i) providing a sample comprising T-cells; (ii) exposing the sample of (i) to one or more TB antigens; (iii) identifying T-cells in the sample that are CD4 positive and (a) secrete TNF-&#x3b1; without secreting IFN-&#x3b3;; or (b) secrete IFN-&#x3b3; without secreting TNF-&#x3b1;; (iv) identifying those cells of (iii) which are also CCR7 and, CD127 negative; and optionally (v) calculating the cells identified in (iv) as a percentage of those identified in (iii); wherein the identification of cells in (iv) and/or the percentage of T-cells calculated in (v) correlates to TB infection status of the individual, and wherein steps (iii) and (iv) can be carried out either sequentially or simultaneously. There are also provided compositions and kits for use in such methods.

A method for determining the impact on a network of a fault in the network, comprises the steps of constructing a layered topological model of the network according to a predetermined protocol, receiving an indication of an erroneous event at a point in the network, and modelling the impact on the network and its services resulting from the event by navigating the topological model. The modelling step includes applying a priority weighting to an erroneous event to determine a priority order in which a sequence of erroneous events may be attended to. The priority order may be based on cost-effectiveness of carrying out a particular repair. The method may alternatively be used to determine the location of a fault with increased certainty by relating an event with a previous erroneous event. The method is preferably implemented by a programmed computer.

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London, United Kingdom

Graham Taylor