Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia

13 Sept 2023

Abstract excerpt

BACKGROUND: Severe community-acquired pneumonia (SCAP) results in high mortality as well as massive economic burden worldwide, yet limited knowledge of the bio-signatures related to prognosis has hindered the improvement of clinical outcomes. Pathogen, microbes and host are three vital elements in inflammations and infections. This study aims to discover the specific and sensitive biomarkers to predict outcomes...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Gut microbiota and health
Share to Pneumonia and Respiratory Infections
Share to vaccines and immunoinformatics approaches

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37708700
DOI: 10.1016/j.ebiom.2023.104790

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumoniaPMID 37708700Read ↗

Prospective multicenter study identifying prognostic biomarkers and microbial profiles in severe CAP using BALF, blood mNGS, and PBMC transcriptomicsSemantic proximity Read ↗

The landscape of lung microbiota predicts the outcome of severe community-acquired pneumonia by interacting with the host immune responseSemantic proximity Read ↗

Community-acquired pneumonia: genomics, epigenomics, transcriptomics, proteomics, and metabolomics.Semantic proximity Read ↗

Differences in pulmonary microbiota of severe community-acquired pneumonia with different pathogenic microorganisms in childrenSemantic proximity Read ↗

Immune and microbial signatures in immunocompetent and immunocompromised patients with pneumoniaSemantic proximity Read ↗

Pathogen-specific host responses define distinct pneumonia endotypes in the human lungSemantic proximity Read ↗

Targeted Next-Generation Sequencing Analysis of BALF Microbiota and Clinical Characteristics in Severe versus Non-Severe Community-Acquired PneumoniaSemantic proximity Read ↗

Clinical Efficiency of Metagenomic Next-Generation Sequencing in Sputum for Pathogen Detection of Patients with Pneumonia According to Disease Severity and Host Immune StatusSemantic proximity Read ↗

Pulmonary inflammation in severe pneumonia is characterised by compartmentalised and mechanistically distinct sub-phenotypesSemantic proximity Read ↗

Integrative study of pulmonary microbiome, transcriptome and clinical outcomes in Mycoplasma pneumoniae pneumoniaSemantic proximity Read ↗

Machine learning‐based identification of cuproptosis‐related markers and immune infiltration in severe community‐acquired pneumoniaSemantic proximity Read ↗

Pulmonary inflammation in severe pneumonia is characterised by compartmentalised and mechanistically distinct sub-phenotypes.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.