Daily Respiratory Research Analysis
Analyzed 54 papers and selected 3 impactful papers.
Summary
Three papers advance respiratory science across diagnostics, mechanisms, and translational therapeutics. Nanopore-targeted sequencing improved single-assay detection of diverse pulmonary pathogens in a tuberculosis-endemic setting. Calprotectin emerged as a robust biomarker—and potential therapeutic target via paquinimod—for sarcopenia in COPD, while lectin pathway complement activation was identified as a salient feature of Long COVID with a predictive biomarker panel.
Research Themes
- Single-assay pathogen diagnostics for pulmonary infections
- Inflammation-driven sarcopenia mechanisms and biomarkers in COPD
- Complement lectin pathway activation and biomarkers in Long COVID
Selected Articles
1. Calprotectin Is a Circulating Biomarker and Potential Therapeutic Target for Sarcopenia in Chronic Obstructive Pulmonary Disease.
In 235 stable COPD patients, serum calprotectin correlated with lower handgrip and quadriceps strength, thinner rectus femoris, and higher 5-times sit-to-stand times; levels were higher in sarcopenia and predicted sarcopenia with AUC ~0.81 in development and validation sets. In cigarette smoke-exposed mice, the calprotectin inhibitor paquinimod attenuated muscle mass loss and increased muscle cross-sectional area, supporting calprotectin as a biomarker and therapeutic target.
Impact: This study bridges clinical biomarker validation with in vivo pharmacologic inhibition, identifying calprotectin as both a predictor and modifiable driver of COPD-related sarcopenia.
Clinical Implications: Serum calprotectin could be used to screen and stratify COPD patients at risk of sarcopenia, guiding early rehabilitation and nutrition interventions; paquinimod or similar inhibitors warrant clinical testing to mitigate muscle dysfunction.
Key Findings
- Serum calprotectin inversely correlated with handgrip (r = -0.367) and quadriceps strength (r = -0.409), and with rectus femoris thickness (r = -0.448) and CSA (r = -0.495).
- Calprotectin levels were higher in COPD patients with sarcopenia versus without (90.09 ± 25.72 vs 59.56 ± 23.22 ng/mL; p < 0.001).
- Calprotectin predicted sarcopenia with AUC 0.811 (development) and 0.805 (validation).
- Paquinimod (10 mg/kg/day) reduced cigarette smoke–induced skeletal muscle mass loss and increased muscle cross-sectional area in mice.
Methodological Strengths
- Development and independent validation cohorts with consistent AUC performance
- Translational design integrating human biomarker data with in vivo pharmacologic inhibition
Limitations
- Observational design limits causal inference about calprotectin’s role in sarcopenia
- Single species murine model may not fully translate to human COPD sarcopenia
Future Directions: Prospective longitudinal studies to assess calprotectin-guided interventions, and early-phase clinical trials testing calprotectin pathway inhibitors (e.g., paquinimod) in COPD-related sarcopenia.
BACKGROUND: Sarcopenia, an important complication of chronic obstructive pulmonary disease (COPD), is significantly associated with increased mortality. Systemic inflammation is an important trigger of COPD-related skeletal muscle dysfunction. Calprotectin is a damage-associated molecular pattern involved in the inflammatory response, but its exact role and mode of action in COPD-related skeletal muscle dysfunction remain unclear. This study aimed to determine whether calprotectin is involved in COPD-related sarcopenia. METHODS: In this study, 235 patients with stable COPD were divided into the development (n = 117) and validation (n = 118) groups, and serum calprotectin concentrations were measured by enzyme-linked immunosorbent assays (ELISAs). Paquinimod, an oral calprotectin-specific inhibitor, was used to investigate the involvement of calprotectin in cigarette smoke (CS)-induced skeletal muscle dysfunction in vivo. RESULTS: Handgrip strength and quadriceps muscle strength, essential indicators of muscle strength, were negatively correlated with serum calprotectin levels (r = -0.367, p < 0.001; r = -0.409, p < 0.001). The 5-time sit-to-stand test results, which reflect endurance and physical strength, were positively correlated with serum calprotectin levels (r = 0.290, p = 0.006). Ultrasound measurement of the rectus femoris muscle revealed negative correlations of serum calprotectin levels with both muscle thickness (r = -0.448, p < 0.001) and cross-sectional area (r = -0.495, p < 0.001). Furthermore, serum calprotectin levels were significantly greater in patients with sarcopenia than in those without sarcopenia (90.09 ± 25.72 ng/mL vs. 59.56 ± 23.22 ng/mL, p < 0.001). Importantly, serum calprotectin levels could effectively predict sarcopenia in COPD patients in the development set (AUC = 0.811) and validation set (AUC = 0.805). In C57BL/6 mice with CS-induced muscle dysfunction, paquinimod (10 mg/kg/day) reduced CS-induced muscle mass loss (skeletal muscle weight 1.15% ± 0.09% vs. 1.33% ± 0.09%; p = 0.005) and increased the muscle cross-sectional area (1375 ± 536.9 μm CONCLUSIONS: Serum calprotectin levels can be used to accurately predict sarcopenia in patients with COPD, and the calprotectin inhibitor paquinimod is a potential treatment for CS-induced skeletal muscle dysfunction.
2. Diagnostic performance of nanopore-targeted sequencing for pulmonary infections in a tuberculosis-endemic setting: A prospective observational study.
In 305 adults with suspected pulmonary infection, nanopore-targeted sequencing outperformed conventional methods in overall pathogen detection and showed high sensitivity and specificity for mycobacteria and fungi. Bacterial detection was highly sensitive but had lower specificity in non-sterile respiratory samples, underscoring the need for clinical correlation.
Impact: This study demonstrates single-assay, multi-kingdom pathogen detection with improved yield in a TB-endemic cohort, providing a pragmatic pathway to streamline diagnostics for heterogeneous pulmonary infections.
Clinical Implications: NTS can complement conventional microbiology to accelerate and broaden diagnosis of pulmonary infections, especially for mycobacteria and fungi; interpretation of bacterial hits should integrate clinical, radiologic, and microbiologic context.
Key Findings
- NTS identified adjudicated pathogens in 263/283 paired cases versus 185 by culture, providing a 12.2% incremental diagnostic yield.
- Sensitivity/specificity: M. tuberculosis 83.0%/99.4%; nontuberculous mycobacteria 89.8%/98.2%; fungi 92.9%/91.1%; bacteria 97.4%/57.8%.
- In polymicrobial infections (n=72), NTS detected all adjudicated pathogens in 77.8% versus 62.5% for conventional testing (P=0.06).
Methodological Strengths
- Prospective design with blinded clinical adjudication as reference standard
- Parallel testing across pathogen classes enabling single-assay evaluation
Limitations
- Lower specificity for bacterial detection in non-sterile respiratory specimens may over-call colonizers
- Single-center specialized TB hospital may limit generalizability
Future Directions: Multi-center implementation studies integrating NTS into diagnostic algorithms, cost-effectiveness analyses, and standardized thresholds for reporting bacterial reads in non-sterile specimens.
BACKGROUND: Pulmonary infections in tuberculosis (TB)-endemic settings are heterogeneous and commonly polymicrobial. Nanopore-targeted sequencing (NTS) enables detection of mycobacteria, bacteria, and fungi in a single targeted assay. However, performance across pathogen classes in TB-endemic cohorts remains limited. METHODS: We conducted a prospective study at a specialized TB hospital, enrolling adults with suspected pulmonary infections across five predefined diagnostic categories: pulmonary TB, nontuberculous mycobacterial pulmonary disease, bacterial, fungal, and polymicrobial infection. Respiratory specimens (n=312) from 305 patients were tested in parallel by conventional microbiological testing (CMT) and NTS. Blinded clinical diagnoses served as the reference standard. RESULTS: Among 283 paired cases, NTS identified the adjudicated pathogens in 263 cases, whereas culture identified them in 185 cases. NTS showed a sensitivity/specificity of 83.0%/99.4% for Mycobacterium tuberculosis, 89.8%/98.2% for nontuberculous mycobacteria, 92.9%/91.1% for fungi, and 97.4%/57.8% for bacteria. In 72 polymicrobial infections, NTS detected all adjudicated pathogens in 77.8% versus 62.5% for CMT, a non-significant difference (P=0.06). Overall, NTS provided a 12.2% incremental diagnostic yield. CONCLUSIONS: NTS offers sensitive, single-assay detection of diverse pulmonary pathogens in TB-endemic settings. By streamlining workflows and improving detection of fastidious or co-infecting organisms, it may complement conventional methods. However, bacterial NTS findings in non-sterile respiratory specimens require clinical correlation.
3. Activation of the Lectin Pathway Drives Persistent Complement Dysregulation in Long COVID.
In a cohort of 159 Long COVID patients versus 76 convalescents, MASP-2/C1Inh complexes were significantly elevated, implicating lectin pathway activation. A four-marker panel (iC3b, TCC, MASP-2/C1Inh, properdin) achieved an AUC of 0.796, whereas classical pathway markers were poorly predictive, highlighting a therapeutically targetable pathway.
Impact: The study pinpoints lectin pathway activation as a central, measurable feature of Long COVID and proposes a concise biomarker set with translational potential for diagnosis and therapeutic targeting.
Clinical Implications: A four-marker complement panel may aid in identifying Long COVID patients with active complement dysregulation; lectin pathway inhibitors could be explored as targeted therapies.
Key Findings
- MASP-2/C1Inh complexes were significantly elevated in Long COVID patients compared to convalescents (p = 0.0003).
- An optimal four-marker set (iC3b, TCC, MASP-2/C1Inh, properdin) achieved ROC AUC 0.796 (95% CI 0.664–0.905).
- Classical pathway marker combinations (C4, C1q, C1s/C1Inh) were poorly predictive of Long COVID.
Methodological Strengths
- Use of a sensitive MASP-2/C1Inh assay combined with multivariate modeling across complement pathways
- Inclusion of a well-defined convalescent comparator group
Limitations
- Cross-sectional design precludes temporal causality and trajectory assessment
- Findings require external validation and clinical correlation with symptom domains
Future Directions: Prospective longitudinal studies to track biomarker dynamics versus symptoms and trials of lectin pathway inhibitors in biomarker-enriched Long COVID populations.
Long COVID affects a substantial proportion of survivors of acute infection with severe acute respiratory syndrome-associated coronavirus-2 (SARS-CoV-2), who suffer a variety of symptoms that limit their quality of life and economic activity. Although the aetiology of long COVID is obscure, it appears to be a chronic inflammatory condition. Complement dysregulation is a prevalent feature of long COVID. Specifically, markers of classical, alternative, and terminal pathway activation are often elevated in patients with this condition. Here, we used a sensitive assay for mannan-binding lectin-associated serine protease-2 (MASP-2)/C1Inh complexes to analyse lectin pathway activation in a previously characterised cohort of patients with long COVID (n = 159) and healthy convalescent individuals with no persistent symptoms after infection with SARS-CoV-2 (n = 76). The data were combined with those from the most predictive complement analytes identified previously to delineate potential biomarkers of long COVID. MASP-2/C1Inh complexes were significantly elevated in patients with long COVID (p = 0.0003). Generalised linear modelling further identified an optimal set of four markers, namely iC3b (alternative pathway), TCC (terminal pathway), MASP-2/C1Inh (lectin pathway), and the complement regulator properdin, which had a receiver operating characteristic predictive power of 0.796 (95% confidence interval = 0.664-0.905). Combinations of the classical pathway markers C4, C1q, and C1s/C1Inh were poorly predictive of long COVID. These findings demonstrate that activation of the lectin complement pathway, which occurs upstream of the alternative and terminal pathways and can be inhibited therapeutically, is a salient feature of long COVID.