Evidence map›Paper›PMID 42787023›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Bronchoalveolar Lavage Metagenomic Sequencing in the Early Post-Lung Transplantation Period: A Pilot Comparison with Microbiologic Culture.

Georgios D Kitsios, Michael A Sy, Xiaohong Wang, Andrew Craig, Alicia Rizzo, John R Francisco, Shulin Qin, Matthew Hensley, Kailey Hughes Kramer, Kentaro Noda and 6 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

16 authors.

Georgios D KitsiosDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-1018-948X
Michael A SyDepartment of Epidemiology, University of Florida, Gainesville, FL.
Xiaohong WangDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Andrew CraigDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Alicia RizzoDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
John R FranciscoDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Shulin QinDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Matthew HensleyDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Kailey Hughes KramerDivision of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA.
Kentaro NodaDepartment of Surgery, University of Chicago, Chicago, IL.
Panayiotis BenosDepartment of Epidemiology, University of Florida, Gainesville, FL.ORCID 0000-0003-3172-3132
Chadi HageDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.
Pablo SanchezDepartment of Surgery, University of Chicago, Chicago, IL.
Alison MorrisRutgers Robert Wood Johnson Medical School, New Brunswick, NJ.
Ghady HaidarDivision of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA.
Mark E SnyderDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA.

Funding

Tissue resident memory T cells and chronic lung allograft dysfunctionR01HL167901 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mark Eugene Snyder · 2023 to 2026
$2.9M
The Gut Microbiome in Carbapenem-Resistant Enterobacteriaceae Colonization, Persistence, Infection, and Tolerance after Lung or Liver TransplantationK23AI154546 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HAIDAR, GHADY · 2021 to 2025
$896k
NHLBI NIH HHS R01 HL167901NIAID NIH HHS K23 AI154546
6 · The paper itself

Abstract

Conventional bronchoalveolar lavage (BAL) culture has limited sensitivity in lung transplant recipients due to universal antimicrobial prophylaxis and inability to detect non-culturable organisms. We prospectively enrolled 19 adult lung transplant recipients undergoing serial bronchoscopies during the immediate post-transplant period. BAL samples (N=33) were tested in parallel with conventional culture, microbial cell-free DNA (mcfDNA) sequencing with quantitative analysis, and long-read sequencing, using a unified three-tier organism classification framework. BAL host-response biomarkers were profiled concurrently. mcfDNA sequencing detected pathogens in 19 of 33 episodes (58%) versus 8 of 33 by conventional culture (24%); organism-level concordance was low (Cohen's kappa 0.18). In 16 episodes where mcfDNA detected a pathogen not recovered by culture, 8 across 3 participants represented predictive detections - the same organism subsequently confirmed as causing invasive infection 2-46 days later, including fatal extensively drug-resistant Pseudomonas pneumonia, vancomycin-resistant Enterococcal surgical site infection, and candidemia. Long-read sequencing had low yield due to contaminating human DNA. Quantitative mcfDNA burden correlated positively with multiple alveolar inflammatory biomarkers. BAL mcfDNA metagenomics identified clinically relevant pathogens not recovered by conventional culture, including predictive detections and non-culturable organisms, supporting a role for metagenomic surveillance in the early post-transplant period.

Indexed as

bronchoalveolar lavagehost biomarkersKariuslung transplantationmetagenomicsmicrobial cell-free DNAnanopore sequencing

Identifiers

PMID42787023
PMCPMC13598486

What OpenQuestion holds

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Registered trials

None linked

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 OpenQuestion graph.