2026-04-17T20:39:44Zhttps://recercat.cat/oai/request
oai:recercat.cat:20.500.12327/19522025-10-22T11:00:18Zcom_2072_4428com_2072_4427col_2072_487898
RECERCAT author Garcia Morante, Beatriz author Maes, Dominiek author Sibila, Marina author Betlach, Alyssa M. author Sponheim, Amanda Amanda author Canturri, Albert author Pieters, Maria other Producció Animal group Sanitat Animal 2025-10-22T11:00:18Z 2025-10-22T11:00:18Z 2022-07-25 Garcia-Morante, Beatriz, Dominiek Maes, Marina Sibila, Alyssa M. Betlach, Amanda Sponheim, Albert Canturri, and Maria Pieters. 2022. "Improving Mycoplasma Hyopneumoniae Diagnostic Capabilities By Harnessing The Infection Dynamics". The Veterinary Journal, 105877. doi:10.1016/j.tvjl.2022.105877. 1090-0233 http://hdl.handle.net/20.500.12327/1952 https://doi.org/10.1016/j.tvjl.2022.105877 Mycoplasma hyopneumoniae remains one of the most problematic bacterial pathogens for pig production. Despite an abundance of observational and laboratory testing capabilities for this organism, diagnostic interpretation of test results can be challenging and ambiguous. This is partly explained by the chronic nature of M. hyopneumoniae infection and its tropism for lower respiratory tract epithelium, which affects diagnostic sensitivities associated with sampling location and stage of infection. A thorough knowledge of the available tools for routine M. hyopneumoniae diagnostic testing, together with a detailed understanding of infection dynamics, are essential for optimizing sampling strategies and providing confidence in the diagnostic process. This study reviewed known information on sampling and diagnostic tools for M. hyopneumoniae and summarized literature reports of the dynamics of key infection outcomes, including clinical signs, lung lesions, pathogen detection, and humoral immune responses. Such knowledge could facilitate better understanding of the performance of different diagnostic approaches at various stages of infection. eng Improving Mycoplasma hyopneumoniae diagnostic capabilities by harnessing the infection dynamics info:eu-repo/semantics/article