Evidence map›Paper›PMID 33014581›Full record

ArticleBiomedical optics express2020

Infrared spectral microscopy as a tool to monitor lung fibrosis development in a model system.

Vidyani Suryadevara, Shaiju S Nazeer, Hari Sreedhar, Oluwatobi Adelaja, André Kajdacsy-Balla, Viswanathan Natarajan, Michael J Walsh

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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 at 1 institution in 2 countries.

Vidyani SuryadevaraDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Shaiju S NazeerDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Hari SreedharDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Oluwatobi AdelajaDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
André Kajdacsy-BallaDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Viswanathan NatarajanDepartment of Pharmacology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Michael J WalshDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.ORCID https://orcid.org/0000-0002-4749-0946
University of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue fibrosis is a progressive and destructive disease process that can occur in many different organs including the liver, kidney, skin, and lungs. Fibrosis is typically initiated by inflammation as a result of chronic insults such as infection, chemicals and autoimmune diseases. Current approaches to examine organ fibrosis are limited to radiological and histological analyses. Infrared spectroscopic imaging offers a potential alternative approach to gain insight into biochemical changes associated with fibrosis progression. In this study, we demonstrate that IR imaging of a mouse model of pulmonary fibrosis can identify biochemical changes observed with fibrosis progression and the beginning of resolution using K-means analysis, spectral ratios and multivariate data analysis. This study demonstrates that IR imaging may be a useful approach to understand the biochemical events associated with fibrosis initiation, progression and resolution for both the clinical setting and for assessing novel anti-fibrotic drugs in a model system.

Identifiers

PMID33014581
PMCPMC7510888
OpenAlexW3036026048

What OpenQuestion holds

Textmetadata
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.