Joong-Yub Kim

Gut–lung axis and microbiome alterations in mycobacterial infections: from pathogenesis to therapeutic potential

Kimin Kang, Joong-Yub Kim, Jae-Joon Yim, Donghyun Kim

Mycobacterial lung diseases, including tuberculosis (TB) and nontuberculous mycobacterial pulmonary disease (NTM-PD), are increasingly recognized as disorders influenced not only by host immunity but also by microbiota. Emerging evidence identifies the gut-lung axis (GLA) as a key bidirectional communication network linking intestinal …

kr, Éthiopie, us, pr (code pays fourni par la source)

Transcriptional intermediary factor 1 gamma prevents lung inflammation and fibrosis via AT2 cells, fibroblasts, and macrophages

Dodam Moon, Hyomin Park, Tae Yoon Kim, Areum Cha et autres

kr, Éthiopie, Soudan, us, sg (code pays fourni par la source)

Optimal dosing and duration of linezolid for the treatment of multidrug-resistant and rifampicin-resistant tuberculosis: an individual patient data meta-analysis

Nakwon Kwak, Joong-Yub Kim, Catherine Berry, Maria Beumont et autres

Background The optimal dosing strategy of linezolid for treating multidrug-resistant and rifampicin-resistant tuberculosis remains unclear. We conducted an individual patient data meta-analysis to determine the optimal linezolid dosing strategy. Methods We searched for randomised controlled trials and prospective cohort studies on short-course …

kr, us, gb, Afrique du Sud, bd, be, vn, nl (code pays fourni par la source)

Diagnosis and Treatment of Latent Tuberculosis Infection in Adults in South Korea

Kyung‐Wook Jo, Young-Soon Yoon, Hyung Woo Kim, Joong-Yub Kim et autres

Latent tuberculosis infection (LTBI) is characterized by immune responses to Mycobacterium tuberculosis antigens without clinical symptoms or evidence of active tuberculosis. Effective LTBI management is crucial for tuberculosis elimination, requiring accurate diagnosis and treatment. In South Korea, LTBI guidelines have been updated …

kr (code pays fourni par la source)

Artificial intelligence-based radiographic extent analysis to predict tuberculosis treatment outcomes: a multicenter cohort study

Hyung‐Jun Kim, Nakwon Kwak, Soon Ho Yoon, Nanhee Park et autres

Predicting outcomes in pulmonary tuberculosis is challenging despite effective treatments. This study aimed to identify factors influencing treatment success and culture conversion, focusing on artificial intelligence (AI)-based chest X-ray analysis and Xpert MTB/RIF assay cycle threshold (Ct) values. In this retrospective study …

kr, pr (code pays fourni par la source)

Change of erythrocyte sedimentation rate as prognostic biomarker for Mycobacterium avium complex pulmonary disease through anti-mycobacterial treatment

Hyeontaek Hwang, Joong-Yub Kim, Jae‐Joon Yim, Nakwon Kwak

BACKGROUND: It remains unclear whether erythrocyte sedimentation rate (ESR) accurately predicts prognosis during treatment and how ESR changes. OBJECTIVES: complex pulmonary disease (MAC-PD) while on anti-mycobacterial treatment and its changes according to the treatment responses. DESIGN: This study is a retrospective cohort …

kr (code pays fourni par la source)

Outcomes of adjunctive surgery for nontuberculous mycobacterial pulmonary disease

Joong-Yub Kim, Samina Park, In Kyu Park, Chang Hyun Kang et autres

BACKGROUND: Owing to the unsatisfactory results of antibiotic treatment alone, surgical resection is currently considered as adjunctive therapy in patients with nontuberculous mycobacterial pulmonary disease (NTM-PD). However, reports regarding the outcomes of surgery vary considerably by institution. Here, we investigated the surgical …

kr, pr (code pays fourni par la source)

Radiographic severity and treatment outcome of Mycobacterium abscessus complex pulmonary disease

Jimyung Park, Soon Ho Yoon, Joong-Yub Kim, Kang-Mo Gu et autres

kr (code pays fourni par la source)