Evidence map›Paper›PMID 41223415›Full record

ReviewAnnual review of physiology2026

Mechanobiology and Resolution of Lung Fibrosis.

Patrick A Link, Daniel J Tschumperlin

Abstract readReview
In one paragraph

Review in Annual review of physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

2 authors.

Patrick A LinkRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA; email: patrick-link@uiowa.edu.
Daniel J TschumperlinDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA; email: tschumperlin.daniel@mayo.edu.

Funding

Mechanobiology of Lung FibrosisR01HL092961 · NHLBI · MAYO CLINIC ROCHESTER · PI Daniel J. Tschumperlin · 2009 to 2026
$8.0M
Fibrogenic activation and memory in the lung mesenchymeR01HL166187 · NHLBI · MAYO CLINIC ROCHESTER · PI Daniel J. Tschumperlin · 2023 to 2026
$2.4M
Therapeutic ECM Resorption in Cellular Systems and Precision Cut Lung Slices.U01HL152967 · NHLBI · MAYO CLINIC ROCHESTER · PI TSCHUMPERLIN, DANIEL J. · 2021 to 2024
$2.4M
NHLBI NIH HHS R01 HL092961NHLBI NIH HHS R01 HL166187NHLBI NIH HHS U01 HL152967
6 · The paper itself

Abstract

Pulmonary fibrosis is a devastating and progressive disease marked by replacement of gas-exchanging tissue with collagen-rich scar. The mechanical environment is profoundly altered in pulmonary fibrosis and contributes to disease progression via feedback relationships between cells, the extracellular matrix, and the evolving mechanical environment. Targeting these mechanobiological feedback loops has emerged as a promising approach to interrupt disease progression, though with challenges in how to intervene selectively, safely, and effectively. We posit that further delineation of cell-matrix mechanobiological interactions will be pivotal to promoting fibrosis resolution and should guide efforts to discover and implement new approaches that can preserve or even restore lung function. To set the stage for these advances, we first review the mechanobiology of the healthy lung and the feedback loops that promote fibrosis progression. We then lay out the challenges and opportunities for targeting the fibrotic matrix as an essential element for protecting or restoring lung function.

Indexed as

LungPulmonary FibrosisAnimalsBiomechanical PhenomenaExtracellular MatrixHumanscollagenextracellular matrixfibroblastmatrix metalloproteasemechanotransductionpulmonary

Identifiers

PMID41223415
PMCPMC13003399

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.