New gamma interferon (IFN- g) algorithm for tuberculosis diagnosis in cynomolgus macaques

Saradee Warit,Suthirote Meesawat, Pattsarun Cheawchanlertfa, Nampung Makhoa,Prapaporn Srilohasin, Machamon Kaewparuehaschai, Kirana Noradechanon, Areeya Pomcoke,Taratorn Kemthong,Therdsak Prammananan, Reka Kanitpun,Tanapat Palaga,Suchinda Malaivijitnond,Angkana Chaiprasert

crossref(2024)

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摘要
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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