Serum acylcarnitine to amide ratio as a predictive biomarker for the progression of pulmonary disease caused by <i>Mycobacterium avium</i> Complex

<title>Extract</title> <italic>Mycobacterium avium</italic> complex pulmonary disease (MAC-PD) is increasingly recognized as a clinically burdensome infection with substantial heterogeneity in its clinical course, particularly among individuals with non-cavitary disease, who often present with mild radiological findings that differ markedly in their progression. The need for early risk-stratification biomarkers remains a major challenge [1–3]. Current predictors, including acid-fast bacilli smear status, erythrocyte sedimentation rate (ESR), and BACES (body mass index, age, cavity, erythrocyte sedimentation rate, and sex) score, have limited capacity to distinguish rapid progressors (RP) from non-progressors (NP) at the time of diagnosis. Given that metabolomic shifts reflect the downstream effects of inflammatory and metabolic stress responses, we hypothesized that specific serum lipid signatures measured at diagnosis could identify patients at risk for early disease acceleration.

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Publication Details

Journal
ERJ Open Research
Published
2026-01-15
DOI
https://doi.org/10.1183/23120541.01607-2025
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Serum acylcarnitine to amide ratio as a predictive biomarker for the progression of pulmonary disease caused by Mycobacterium avium Complex

Nakwon Kwak, Kwonhyung Hyung, Ju Mi Lee, Sangwon Choi et al.
ERJ Open Research
Tuberculosis Research and Epidemiology
article

Serum acylcarnitine to amide ratio as a predictive biomarker for the progression of pulmonary disease caused by Mycobacterium avium Complex

Nakwon Kwak, Kwonhyung Hyung, Ju Mi Lee, Sangwon Choi, Su-Young Kim, Sung Jae Shin, Jae-Joon Yim, Keu Eun San Kim, Hye Su An, Ji Sook Park, Byung Woo Jhun
article en

Abstract

<title>Extract</title> <italic>Mycobacterium avium</italic> complex pulmonary disease (MAC-PD) is increasingly recognized as a clinically burdensome infection with substantial heterogeneity in its clinical course, particularly among individuals with non-cavitary disease, who often present with mild radiological findings that differ markedly in their progression. The need for early risk-stratification biomarkers remains a major challenge [1–3]. Current predictors, including acid-fast bacilli smear status, erythrocyte sedimentation rate (ESR), and BACES (body mass index, age, cavity, erythrocyte sedimentation rate, and sex) score, have limited capacity to distinguish rapid progressors (RP) from non-progressors (NP) at the time of diagnosis. Given that metabolomic shifts reflect the downstream effects of inflammatory and metabolic stress responses, we hypothesized that specific serum lipid signatures measured at diagnosis could identify patients at risk for early disease acceleration.

ERJ Open Research
Yonsei University (KR), Seoul Metropolitan Government (KR), Samsung Medical Center (KR), Seoul National University Hospital (KR)
Openalex Percentile: Top 85%
Tuberculosis Research and Epidemiology
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Serum acylcarnitine to amide ratio as a predictive biomarker for the progression of pulmonary disease caused by <i>Mycobacterium avium</i> Complex — Nakwon Kwak, Kwonhyung Hyung, et al. · ERJ Open Research (2026) | TGRS Research Map | TGRS