Evidence map›Paper›PMID 41316171›Full record

ArticleRespiratory research2025

Integrated multi-omics profiling for risk stratification in Asians with COPD.

Oliver W Meldrum, Pei Yee Tiew, Huiying Xu, Dorrain Yanwen Low, Fransiskus Xaverius Ivan, Jayanth Kumar Narayana, Tavleen Kaur Jaggi, Jianhong Ching, Sanjay H Chotirmall

Abstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Oliver W MeldrumLee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232, Singapore.
Pei Yee TiewLee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232, Singapore.
Huiying XuDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore.
Dorrain Yanwen LowLee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232, Singapore.
Fransiskus Xaverius IvanLee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232, Singapore.
Jayanth Kumar NarayanaLee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232, Singapore.
Tavleen Kaur JaggiLee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232, Singapore.
Jianhong ChingCardiovascular and Metabolic Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.
Sanjay H ChotirmallLee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232, Singapore. schotirmall@ntu.edu.sg.

Funding

LKCMedicine-ICL Fellowship (#020458-00001National Research Foundation Singapore under its Open Fund-Large Collaborative Grant and administered by the Singapore Ministry of Health's National Medical Research Council MOH-001636Singapore Ministry of Education under its AcRF Tier 1 Grant RT1/22Singapore Ministry of Health's National Medical Research Council under its Clinician-Scientist Award (CSA) Investigator (INV) category MOH-001855Singapore Ministry of Health's National Medical Research Council under its Clinician-Scientist Individual Research Grant MOH-001356
6 · The paper itself

Abstract

backgroundComorbidity-based risk stratification in Chronic Obstructive Pulmonary Disease (COPD) incompletely captures inherent biological heterogeneity, particularly in Asian populations that demonstrate high-risk clinical phenotypes including prior pulmonary tuberculosis. We investigated whether integrated sputum multi-omics could improve risk stratification in an Asian COPD cohort.

methodsWe conducted a prospective, multicenter assessment of N = 56 Asians with established COPD, classified as high- (N = 25; cardiovascular or ex-tuberculosis) or low-risk (N = 31; diabetic or low-comorbidity) based on established co-morbidity phenotyping. Sputum was subjected to mucus analysis (MUC5AC, MUC5B, mucus solids, rheology), metabo-lipidomics (LC-MS/MS) and microbiome assessment (shotgun metagenomics). Multivariate statistics was employed to integrate datasets.

resultsHigh-risk Asian COPD demonstrates abnormal mucus biochemistry characterized by elevated MUC5AC; extensive metabo-lipidomic alterations characterized by dysregulated tryptophan-kynurenine metabolism and lipid remodeling with enrichment of lysophosphatidylcholines and triacylglycerols. Microbial networks are disrupted in high-risk patients, typified by antagonistic interactions driven by K. pneumoniae, H. influenzae and Neisseria spp. Integrative assessment combining all datasets partitioned the cohort into two clusters: SNF 1 (N = 34) and SNF 2 (N = 22), the former representing an unfavorable group characterized by exacerbations, hospitalizations, mucus dysfunction, microbial pathogens and dysregulated metabo-lipidomic pathways. Remarkably, 42% (N = 13 of 31) of the originally classified low risk COPD exhibited the unfavorable SNF 1 endotype, distinguished by more severe exacerbations (hospitalizations), K. pneumoniae and elevated hypoxanthine, creatine, spermine and phosphatidylcholines.

conclusionIntegrative multi-omics profiling of Asian COPD significantly refines clinical risk stratification identifying a novel ‘high-risk’ biological endotype. Substantial proportions of clinically low-risk COPD exhibit this endotype, suggesting that clinical and co-morbidity profiling in Asians with COPD should be supplemented by molecular assessment to ensure accurate risk stratification.

Indexed as

Asian PeopleMetabolomicsPulmonary Disease, Chronic ObstructiveAgedCohort StudiesFemaleHumansMaleMiddle AgedMultiomicsProspective StudiesRisk AssessmentRisk FactorsSingaporeSputumCOPDLipidomicsMetabolomicsMicrobiomeMucinPulmonary tuberculosis

Identifiers

PMID41316171
PMCPMC12763891

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.