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http://dx.doi.org/10.1111/j.1365-3156.2004.01271.x | DOI Listing |
Nanomedicine (Lond)
January 2025
School of Integrative Engineering, Chung-Ang University, Seoul, Republic of Korea.
Front Immunol
January 2025
Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS, Rome, Italy.
Background: Subjects with immune-mediated inflammatory diseases (IMID), such as rheumatoid arthritis, with tuberculosis infection (TBI), have a high probability of progressing to tuberculosis disease (TB). We aim to characterize the impact of IMID on the immune response to (Mtb) in patients with TBI and TB disease.
Methods: We enrolled TBI and TB patients with and without IMID.
Sleep Med
January 2025
Department of Pulmonology, Louvain University Center for Sleep and Wake Disorders (LUCS), University Hospitals Leuven Campus Gasthuisberg, Leuven, Belgium.
Study Objectives: To assess the impact of the non-respiratory arousal burden at baseline polysomnography (PSG) on residual daytime sleepiness in positive airway pressure (PAP)-treated obstructive sleep apnea (OSA).
Methods: We included OSA patients from the European Sleep Apnea Database registry with available arousal data who had at least 2 treatment follow-up visits. The primary outcome was the Epworth Sleepiness Scale (ESS) score under PAP.
Front Immunol
January 2025
Section of Immunology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Background: Maintenance immunosuppression is required for suppression of alloimmunity or allograft rejection. However, continuous use of immunosuppressants may lead to various side effects, necessitating the use of alternative immunosuppressive drugs. The early secreted antigenic target of 6 kDa (ESAT-6) is a virulence factor and immunoregulatory protein of mycobacterium tuberculosis (Mtb), which alters host immunity through dually regulating development or activation of various immune cells.
View Article and Find Full Text PDFIntroduction: Tuberculosis (TB) poses a significant threat to global health, with millions of new infections and approximately one million deaths annually. Various modeling efforts have emerged, offering tailored data-driven and physiologically-based solutions for novel and historical compounds. However, this diverse modeling panorama may lack consistency, limiting result comparability.
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