New gamma interferon (IFN- g) algorithm for tuberculosis diagnosis in cynomolgus macaques
Saradee WaritiD, Suthirote MeesawatiD, Pattsarun CheawchanlertfaiD, Nampueng Makhao, Prapaporn SrilohasiniD, Machamon Kaewparuehaschai, Kirana Noradechanon, Areeya Pomcoke, Taratorn Kemthong, Therdsak PrammanananiD, Reka Kanitpun, Tanapat PalagaiD, Suchinda MalaivijitnondiD, Angkana ChaiprasertiD
Abstract
Tuberculosis (TB) is the first infectious disease to be screened-out from specified pathogen-free cynomolgus macaques (Macaca fascicularis; Mf) using in human pharmaceutical testing. Being either latent or active stage after exposure to the Mycobacterium tuberculosis complex (MTBC), the monkey gamma-interferon release assay (mIGRA) was previously introduced for early TB detection in Mf. However, a high number of indeterminate cases were unexpectedly encountered. The main reasons were a mitogen positive control and an interpretation algorithm. A cohort of 316 Mf exposed to MTBC was tested of two positive mitogen controls [QFT-PHA and a mixture of ConcanavalinA and Pokeweed (ConA+PWM)], and 100 of 316 animals were selected and 26-month followed-up for the establishment of a new mIGRA algorithm for interpretation. As such, the number of indeterminate cases was drastically reduced (80-100%) when the ConA + PWM mixture was used as a positive mitogen control along with a new mIGRA algorithm for interpretation.
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