Evidence map›Paper›PMID 39635041›Full record

ArticleFrontiers in cellular and infection microbiology2024

Metabolic pathways from the gut metatranscriptome are associated with COPD and respiratory function in lung cancer patients.

David Dora, Peter Revisnyei, Anna Mihucz, Peter Kiraly, György Szklenarik, Edit Dulka, Gabriella Galffy, Zoltan Lohinai

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  3. Review
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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

8 authors.

David DoraDepartment of Anatomy, Histology, and Embryology, Semmelweis University, Budapest, Hungary.
Peter RevisnyeiDepartment of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary.
Anna MihuczDepartment of Anatomy, Histology, and Embryology, Semmelweis University, Budapest, Hungary.
Peter KiralyCounty Hospital of Torokbalint, Torokbalint, Hungary.
György SzklenarikTranslational Medicine Institute, Semmelweis University, Budapest, Hungary.
Edit DulkaCounty Hospital of Torokbalint, Torokbalint, Hungary.
Gabriella GalffyCounty Hospital of Torokbalint, Torokbalint, Hungary.
Zoltan LohinaiTranslational Medicine Institute, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Changes in the human gut microbiome have been linked to various chronic diseases, including chronic obstructive pulmonary disease (COPD). While substantial knowledge is available on the genomic features of fecal communities, little is known about the microbiome's transcriptional activity. Here, we analyzed the metatranscriptomic (MTR) abundance of MetaCyc pathways, SuperPathways, and protein domain families (PFAM) represented by the gut microbiome in a cohort of non-small cell lung cancer (NSCLC) patients with- or without COPD comorbidity. Methods: Fecal samples of 40 NSCLC patients with- or without COPD comorbidity were collected at the time of diagnosis. Data was preprocessed using the Metaphlan3/Humann3 pipeline and BioCyc Results: Key genera Conclusion: Metatranscriptome analysis identified COPD-related subsets of lung cancer with potential therapeutic relevance.

Indexed as

FecesGastrointestinal MicrobiomeLung NeoplasmsMetabolic Networks and PathwaysPulmonary Disease, Chronic ObstructiveAgedBacteriaCarcinoma, Non-Small-Cell LungFemaleHumansMaleMetagenomicsMiddle AgedStreptococcusTranscriptomeCOPDgut microbiomelung functionmetabolic pathwaysmetagenomemetatranscriptomePFAMs

Identifiers

PMID39635041
PMCPMC11616033

What OpenQuestion holds

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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 OpenQuestion graph.