Evidence map›Paper›PMID 36932122›Full record

ArticleScientific reports2023

Micro-CT-derived ventilation biomarkers for the longitudinal assessment of pathology and response to therapy in a mouse model of lung fibrosis.

Francesca Pennati, Ludovica Leo, Erica Ferrini, Nicola Sverzellati, Davide Bernardi, Franco Fabio Stellari, Andrea Aliverti

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In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Murine models of pulmonary fibrosis: mechanisms, limitations and translational insights.European respiratory review : an official journal of the European Respiratory Society · 2026
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  15. Frontiers in medicine · 2024
    Article
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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

7 authors.

Francesca PennatiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Ludovica LeoDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Erica FerriniDepartment of Veterinary Science, University of Parma, Parma, Italy.
Nicola SverzellatiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Davide BernardiDepartment of Veterinary Science, University of Parma, Parma, Italy.
Franco Fabio StellariPharmacology and Toxicology Department Corporate Pre-Clinical R&D, Chiesi Farmaceutici S.P.A., Largo Belloli 11/A 43122, Parma, Italy. fb.stellari@chiesi.com.
Andrea AlivertiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Experimental in-vivo animal models are key tools to investigate the pathogenesis of lung disease and to discover new therapeutics. Histopathological and biochemical investigations of explanted lung tissue are currently considered the gold standard, but they provide space-localized information and are not amenable to longitudinal studies in individual animals. Here, we present an imaging procedure that uses micro-CT to extract morpho-functional indicators of lung pathology in a murine model of lung fibrosis. We quantified the decrease of lung ventilation and measured the antifibrotic effect of Nintedanib. A robust structure-function relationship was revealed by cumulative data correlating micro-CT with histomorphometric endpoints. The results highlight the potential of in-vivo micro-CT biomarkers as novel tools to monitor the progression of inflammatory and fibrotic lung disease and to shed light on the mechanism of action of candidate drugs. Our platform is also expected to streamline translation from preclinical studies to human patients.

Indexed as

Pulmonary FibrosisAnimalsBiomarkersDisease Models, AnimalFibrosisHumansLungMiceX-Ray MicrotomographyBiomarkers

Identifiers

PMID36932122
PMCPMC10023700

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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.