Evidence map›Paper›PMID 33319168›Full record

ArticleiScience2020

Machine Learning Analysis of the Bleomycin Mouse Model Reveals the Compartmental and Temporal Inflammatory Pulmonary Fingerprint.

Natalie Bordag, Valentina Biasin, Diana Schnoegl, Francesco Valzano, Katharina Jandl, Bence M Nagy, Neha Sharma, Malgorzata Wygrecka, Grazyna Kwapiszewska, Leigh M Marsh

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
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

31 citing papers in PubMed, 40 citations in OpenAlex.

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  14. Succinate aggravates pulmonary fibrosis through the succinate/SUCNR1 axis.American journal of physiology. Lung cellular and molecular physiology · 2025
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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

10 authors at 3 institutions in 2 countries.

Natalie BordagLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Valentina BiasinLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Diana SchnoeglLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Francesco ValzanoLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Katharina JandlLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Bence M NagyLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Neha SharmaLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Malgorzata WygreckaDepartment of Biochemistry, Universities of Giessen and Marburg Lung Center, Giessen 35392, Germany. Member of German Center for Lung Research.
Grazyna KwapiszewskaLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Leigh M MarshLudwig Boltzmann Institute for Lung Vascular Research, Graz 8010, Austria.
Ludwig Boltzmann Institute for Lung Vascular Research · ATMedical University of Graz · ATGerman Center for Lung Research · DE

Funding

Austrian Science Fund FWF T 1032
6 · The paper itself

Abstract

The bleomycin mouse model is the extensively used model to study pulmonary fibrosis; however, the inflammatory cell kinetics and their compartmentalization is still incompletely understood. Here we assembled historical flow cytometry data, totaling 303 samples and 16 inflammatory-cell populations, and applied advanced data modeling and machine learning methods to conclusively detail these kinetics. Three days post-bleomycin, the inflammatory profile was typified by acute innate inflammation, pronounced neutrophilia, especially of SiglecF

Indexed as

Artificial IntelligenceImmune ResponseImmunology

Identifiers

PMID33319168
PMCPMC7725744
OpenAlexW3105045665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.